Public Lab Wiki documentation

The Public Lab nonprofit is excited to announce that it has received support from the Passport Foundation to launch a pilot digital infrastructure and outreach program for people impacted by poor indoor air quality (IAQ). The project will give special attention to inhabitants of manufactured homes and emerges out of research by Dr. Nick Shapiro and Public Lab research on over 120,000 chemically contaminated former emergency housing units that were resold to under-resourced communities across the United States.

Unlike traditional, geographically organized environmental health concerns, sufferers of poor IAQ often comprise a dispersed network based around building material choices, home construction practices, and in-home behavior. Because of this, it is currently nearly impossible for sufferers of poor indoor air quality to come together to determine causes, impacts, and routes to advocacy. The goal of this pilot project is to create a cost-effective means of overcoming these limitations by creating an online database and community to connect sufferers of poor IAQ with each other and resources. The web platform will empower residents to gauge the magnitude of indoor air quality related illnesses; raise awareness of indoor air quality as a health threat; build a community of users in disparate geographic locations sharing stories and best practices; engage those affected in the process of assessment and mitigation; and begin to remedy the lack of epidemiological and symptomologic data on low-level domestic exposures.

Wireframes for IAQ website created by Nick Shapiro and Jeff Warren:

---

2011-2012 Indoor Air Quality Mapping information

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved! * Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence. * and places to start contributing- * Hack your roomba! * Help us develop documentation. * advise us on indoor air-pollution issues? * List next steps: * Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]] * We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

The Public Lab nonprofit is excited to announce that it has received support from the Passport Foundation to launch a pilot digital infrastructure and outreach program for people impacted by poor indoor air quality (IAQ). The project will give special attention to inhabitants of manufactured homes and emerges out of research by Dr. Nick Shapiro and Public Lab research on over 120,000 chemically contaminated former emergency housing units that were resold to under-resourced communities across the United States.

Unlike traditional, geographically organized environmental health concerns, sufferers of poor IAQ often comprise a dispersed network based around building material choices, home construction practices, and in-home behavior. Because of this, it is currently nearly impossible for sufferers of poor indoor air quality to come together to determine causes, impacts, and routes to advocacy. The goal of this pilot project is to create a cost-effective means of overcoming these limitations by creating an online database and community to connect sufferers of poor IAQ with each other and resources. The web platform will empower residents to gauge the magnitude of indoor air quality related illnesses; raise awareness of indoor air quality as a health threat; build a community of users in disparate geographic locations sharing stories and best practices; engage those affected in the process of assessment and mitigation; and begin to remedy the lack of epidemiological and symptomologic data on low-level domestic exposures.

Wireframes for IAQ website created by Nick Shapiro and Jeff Warren:

---

2011-2012 Indoor Air Quality Mapping information

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

The Public Lab nonprofit is excited to announce that it has received support from the Passport Foundation to launch a pilot digital infrastructure and outreach program for people impacted by poor indoor air quality (IAQ). The project will give special attention to inhabitants of manufactured homes and emerges out of research by Dr. Nick Shapiro and Public Lab research on over 120,000 chemically contaminated former emergency housing units that were resold to under-resourced communities across the United States.

Unlike traditional, geographically organized environmental health concerns, sufferers of poor IAQ often comprise a dispersed network based around building material choices, home construction practices, and in-home behavior. Because of this, it is currently nearly impossible for sufferers of poor indoor air quality to come together to determine causes, impacts, and routes to advocacy. The goal of this pilot project is to create a cost-effective means of overcoming these limitations by creating an online database and community to connect sufferers of poor IAQ with each other and resources. The web platform will empower residents to gauge the magnitude of indoor air quality related illnesses; raise awareness of indoor air quality as a health threat; build a community of users in disparate geographic locations sharing stories and best practices; engage those affected in the process of assessment and mitigation; and begin to remedy the lack of epidemiological and symptomologic data on low-level domestic exposures.

Wireframes for IAQ website created by Nick Shapiro and Jeff Warren:

---

2011-2012 Indoor Air Quality Mapping information

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

We Also documented the Toxin-mapping Roomba Project in Montreal.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project:

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. A Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second-hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use the MQ 135 air quality sensor, to detect NH3, NOx, alcohol, benzene, smoke and CO2. In the future we will try adding a sensor for formaldehyde, which is a common and potentially harmful indoor air pollutant.

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. The Toxic Mapper is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. The Toxic Mapper is still in development. We aim for it to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our Toxic Mapper v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project: https://www.youtube.com/watch?v=L1NVqZEDYDQ.

This image shows the basic parts of the Toxic Mapper V.1:

Wiring for the Toxic Mapper V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in the Toxic Mapper V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing-
  • Hack your roomba!
  • Help us develop documentation.
  • advise us on indoor air-pollution issues?
• List next steps:
  • Our next step is to try a formaldehyde rather than VOC sensor on the Toxic Mapper:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
  • We also aim to sync up the Toxic Mapper's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow it down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use MQ 135, an air quality sensor, to probe the condition of the air. In the future we will be adding a sensor for formaldehyde, which is a common and potentially harmful indoor air-pollutant. In the future, we can also use the wireless system or hack a roomba to control its movement as the quality of air, helping us search for "hot spots".

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. Roomba is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. Roomba is still in development. We aim for roomba to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our roomba v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project: https://www.youtube.com/watch?v=L1NVqZEDYDQ.

This image shows the basic parts of Roomba V.1:

Wiring for Roomba V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in Roomba V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing- -Hack your roomba! -Help us develop roomba documentation. -advise us on indoor air-pollution issues?
• List next steps:
• Our next step is to try a formaldehyde rather than VOC sensor on Roomba:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
• We also aim to sync up Roomba's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow Roomba down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use MQ 135, an air quality sensor, to probe the condition of the air. In the future we will be adding a sensor for formaldehyde, which is a common and potentially harmful indoor air-pollutant. In the future, we can also use the wireless system or hack a roomba to control its movement as the quality of air, helping us search for "hot spots".

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. Roomba is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. Roomba is still in development. We aim for roomba to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our roomba v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba. We have produced a short video about the project: https://www.youtube.com/watch?v=L1NVqZEDYDQ.

This image shows the basic parts of Roomba V.1:

Wiring for Roomba V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in Roomba V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing- -Hack your roomba! -Help us develop roomba documentation. -advise us on indoor air-pollution issues?
• List next steps:
• Our next step is to try a formaldehyde rather than VOC sensor on Roomba:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
• We also aim to sync up Roomba's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow Roomba down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room.

We have attached a sensor and light system to these second hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If we take a long exposure image of our Roomba as it travels through a room, we can see the path its traveled by the light it emits. In areas where there are more VOCs, the light on Roomba changes from green to blue. Looking at this image, you can easily spot an area where there could be higher concentrations of VOCs.

Currently, we use MQ 135, an air quality sensor, to probe the condition of the air. In the future we will be adding a sensor for formaldehyde, which is a common and potentially harmful indoor air-pollutant. In the future, we can also use the wireless system or hack a roomba to control its movement as the quality of air, helping us search for "hot spots".

The U.S. EPA provides a good introduction to indoor air quality:

There are many sources of indoor air pollution in any home. These include combustion sources such as oil, gas, kerosene, coal, wood, and tobacco products; building materials and furnishings as diverse as deteriorated, asbestos-containing insulation, wet or damp carpet, and cabinetry or furniture made of certain pressed wood products; products for household cleaning and maintenance, personal care, or hobbies; central heating and cooling systems and humidification devices; and outdoor sources such as radon, pesticides, and outdoor air pollution.

Poor indoor air quality can take many forms, including high concentrations of chemicals (like formaldehyde, radon, or carbon monoxide). Sometimes these chemicals come from the products we use (like sprays) or the materials that surround us (like carpets and vinyl flooring). Excess humidity, or inadequate ventilation or filtration, can also lead to buildups of mold, pollen, or other biological contaminants. A simple and common form of poor indoor air quality is the buildup of CO2 (carbon dioxide) in poorly ventilated rooms. This can make you feel tired and less alert but is not usually otherwise harmful.

Immediate symptoms of exposure to toxic air contaminants include irritation of the eyes, nose, and throat; headaches; dizziness; and fatigue. Longer-term exposures (to lower concentrations) have been linked to chronic disorders, such as asthma.

Applications and example uses

Currently, there are very few tools for citizens to use in assessing indoor air-quality. Roomba is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret. Roomba is still in development. We aim for roomba to be useful in indoor spaces such as those found in homes and schools.

This annotated image shows the basic parts for our roomba v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba.

This image shows the basic parts of Roomba V.1:

Wiring for Roomba V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in Roomba V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing- -Hack your roomba! -Help us develop roomba documentation. -advise us on indoor air-pollution issues?
• List next steps:
• Our next step is to try a formaldehyde rather than VOC sensor on Roomba:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
• We also aim to sync up Roomba's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow Roomba down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room. We have attached a sensor and light system to these second hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If you take a long exposure image of our Roomba as it travels through a room, you can see the path its traveled by the light it emits. In areas where there are more VOCs the light on Roomba changes from green to blue. Looking at this image you can easily spot an area of indoor air-pollution. In the future we will be adding a sensor for formaldehyde to this Roomba. Formaldehyde is a very common indoor and harmful indoor air-pollutant.

Currently, we use MQ 135, an air quality sensor to express the condition of air. In the future, we can also use the wireless system or hack a roomba to control its movement as the quality of air.

Currently, there are very few tools for assessing one's indoor air-quality. Indoor airpollution has been linked to numerous disorders such as Asthma, and Sick Building Syndrome. Roomba is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret.

Applications and example uses

Roomba is still in development. We aim for roomba to be useful individual homes and schools.

This annotated image shows the basic parts for our roomba v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba.

This image shows the basic parts of Roomba V.1:

Wiring for Roomba V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in Roomba V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in Providence.
• and places to start contributing- -Hack your roomba! -Help us develop roomba documentation. -advise us on indoor air-pollution issues?
• List next steps:
• Our next step is to try a formaldehyde rather than VOC sensor on Roomba:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
• We also aim to sync up Roomba's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow Roomba down computationally rather than mechanically.

Purpose

This tool is being developed to experiment with mapping indoor air quality. Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room. We have attached a sensor and light system to these second hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If you take a long exposure image of our Roomba as it travels through a room, you can see the path its traveled by the light it emits. In areas where there are more VOCs the light on Roomba changes from green to blue. Looking at this image you can easily spot an area of indoor air-pollution. In the future we will be adding a sensor for formaldehyde to this Roomba. Formaldehyde is a very common indoor and harmful indoor air-pollutant.

Currently, we use MQ 135, an air quality sensor to express the condition of air. In the future, we can also use the wireless system or hack a roomba to control its movement as the quality of air.

Currently, there are very few tools for assessing one's indoor air-quality. Indoor airpollution has been linked to numerous disorders such as Asthma, and Sick Building Syndrome. Roomba is our first attempt to generate DIY tools for investigating one's home environment and producing data rich images that are easy to interpret.

Applications and example uses

Roomba is still in development. We aim for roomba to be useful individual homes and schools.

This annotated image shows the basic parts for our roomba v.1:

How to make your own

We are working on a step by step guide to Hacking your Roomba.

This image shows the basic parts of Roomba V.1:

Wiring for Roomba V.1 to connect VOC sensor to LED so the light color changes based on the sensor readings:

Close up image of wiring:

Arduino Code for VOC sensor in Roomba V.1:

How to use it

• Byeongwon used the Volatile Organic Chemical Sensor to detect a gas leak in his home: [[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]

Get involved!

• Research is actively being done on this project by Jae Ok Lee and Byeongwon Ha in The RISD Environmental Justice Research Cluster in [Providence](/place/providence.
• and places to start contributing- -Hack your roomba! -Help us develop roomba documentation. -advise us on indoor air-pollution issues?
• List next steps:
• Our next step is to try a formaldehyde rather than VOC sensor on Roomba:[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]
• We also aim to sync up Roomba's movements to the sensor speed. The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter": The second is to use a more recent model of Roomba whose speed is programmable. We have purchased a Roomba 530 model and will be attempting to slow Roomba down computationally rather than mechanically.

The RISD Environmental Justice Research Cluster in Providence uses a Roomba as a medium in order to reveal the condition of our surroundings. Roomba--the room cleaning vacuum--is programmed to travel all around a room once it is left to roam. Therefore, it is an ideal tool to assess the quality of air through out a room. We have attached a sensor and light system to these second hand Roombas. When our Roomba senses a change in air quality, currently an increase in the amount of volatile organic chemicals (VOC) in the air (we use alcohol as our test VOC) it emits a different color of light. If you take a long exposure image of our Roomba as it travels through a room, you can see the path its traveled by the light it emits. In areas where there are more VOCs the light on Roomba changes from green to blue. Looking at this image you can easily spot an area of indoor air-pollution. In the future we will be adding a sensor for formaldehyde to this Roomba. Formaldehyde is a very common indoor and harmful indoor air-pollutant.

Currently, we use MQ 135, an air quality sensor to express the condition of air. In the future, we can also use the wireless system or hack a roomba to control its movement as the quality of air.

Formaldehyde:

RISD blog: http://dm.risd.edu/courseblogs/ejrc/?p=168

Hydrogen Sulfide:

Toxic effects (from http://www.osha.gov/dts/sltc/methods/validated/1008/1008.html):

1.1.2 Toxic effects (This section is for information only and should not be taken as the basis of OSHA policy.)4

Symptoms observed from exposure between 5 and 2000 ppm are as follows:

1000 – 2000 ppm: Breathing stops due to paralysis of the respiratory system.

500 – 1000 ppm: Breathing rates speed up followed by temporary suspension of breathing at higher concentrations.

50 – 500 ppm: Respiratory tract and eye irritation. Prolonged exposures to concentrations between 50 and 600 ppm can cause pulmonary edema (swelling and accumulation of fluid in the lungs). Olfactory fatigue occurs at concentrations between 150 and 200 ppm.

5 - 50 ppm: Irritation of the eyes.

Long term effects from repeated hydrogen sulfide exposure have not been established but symptoms may include dizziness, headaches and fatigue. Hydrogen sulfide is not regarded as a cumulative toxin as it is quickly oxidized to sulfate and then excreted by the kidneys.

Sensors under investigation: http://www.figarosensor.com/products/825pdf.pdf

http://www.apollo-sensors.com/s04/apollo-sensors/cpxx/20090703/7281027.html

Alternative Monitoring methods:

Silver: http://www.osha.gov/dts/sltc/methods/validated/1008/1008.pdf http://www.osha.gov/dts/sltc/methods/validated/1008/1008.html

Goals

The Roomba moves much too fast to produce good readings -- the sensors take 15-30 seconds to detect anything -- so the group is working on a few ways to slow down the robot. One is to mechanically gear down the wheels with a kind of "scooter":

Pages related to roomba research:

[[http://publiclaboratory.org/notes/sara/12-13-2011/formaldehyde-sensing-indoor-air-pollution|More information on Formaldehyde]]

[[http://publiclaboratory.org/notes/bha/9-11-2011/gas-leak-old-apartment|using VOC sensor to locate an apartment gas leak]]