| Reaction time | 120 s |
| Accuracy relative humidity | 2 % |
| Accuracy (°C) | 5.1 °C |
Air quality sensors / air quality measurement devices
1 - 20 / 26
| Installation length | 190 mm |
| Housing material | Plastic |
| Operating temperature range | 0 °C |
| Operating temperature range | 0 °C |
| Housing material | Plastic |
| Sensor type | VOC mixed gas sensor |
| Installation length | 190 mm |
| Housing material | Plastic |
| Operating temperature range | 0 °C |
| Operating temperature range | 0 °C |
| Housing material | Plastic |
| Sensor type | VOC mixed gas sensor |
| Operating temperature range | 0 °C |
| Housing material | Plastic |
| Sensor type | VOC mixed gas sensor |
| Operating temperature range | 0 °C |
| Housing material | Plastic |
| Sensor type | VOC mixed gas sensor |
| Operating temperature range | 0 °C |
| Housing material | Plastic |
| Sensor type | VOC mixed gas sensor |
| Applications | Heating/ Air conditioning/ Ventilation |
| Measurement range | 2,000 to 10,000 ppm |
| Type of gas | Carbon dioxide (CO2) |
| Sensor type | NDIR sensor |
| Applications | Heating/ Air conditioning/ Ventilation |
| Measurement range | 0 to 500 ppm |
| Type of gas | Carbon monoxide(CO) |
| Sensor type | Electrochemistry CO Sensor |
| Applications | Heating/ Air conditioning/ Ventilation Environmental monitoring / Environmental observation |
| Measurement range | 0 to 2,000 ppm |
| Type of gas | Carbon dioxide (CO2) |
| Additional measurement possibilities | Air temperature Humidity |
| Accuracy (%) | 20 % |
| Service life | 6 Jahr(e) |
| Accuracy (°C) | 5.1 °C |
| Reaction time | 20 s |
| Accuracy (°C) | 5.1 °C |
| Accuracy relative humidity | 4.5 % |
| Installation length | 50 mm |
| Housing material | Plastic |
| Measurement range | 0 to 200 ppm |
| Installation length | 50 mm |
| Housing material | Plastic |
| Measurement range | 0 to 200 ppm |
| Measurement range | 0 to 4,000 ppm |
| Additional measurement possibilities | Temperature Humidity |
| Type of gas | Carbon dioxide (CO2) |
| Operating temperature range | 0 °C |
| Measurement range | 450 to 2,000 ppm |
| Sensor type | VOC mixed gas sensor |
| Operating temperature range | 0 °C |
| Measurement range | 0 to 100 Vol.-% |
| Sensor type | VOC mixed gas sensor |
| Operating temperature range | 0 °C |
| Measurement range | 0 to 2,000 ppm |
| Sensor type | VOC mixed gas sensor |
| Operating temperature range | 0 °C |
| Measurement range | 0 to 100 Vol.-% |
| Sensor type | VOC mixed gas sensor |
Air quality sensors are instruments used to monitor indoor and outdoor air quality. They measure various parameters such as pollutant concentration, humidity, temperature, air pressure and air flow.
There are different types of air quality sensors based on different measurement principles, e.g. electrochemical sensors, optical sensors, NDIR sensors and VOC sensors. Some of the more common types of air quality sensors are described below:
Electrochemical sensors: An electrochemical sensor consists of an electrode that is placed in contact with the air. When pollutants in the air strike the electrode, an electrochemical reaction takes place, resulting in a change in electrical resistance. The change in resistance is measured and converted to the concentration of the pollutant.
Optical sensors: An optical sensor sends light through the air sample and measures how much light is absorbed by the pollutants in the air. The amount of light absorbed is proportional to the concentration of the contaminant.
NDIR sensors: An NDIR (Non-Dispersive Infrared) sensor sends infrared light through the air sample and measures how much light is absorbed by the contaminants in the air. The amount of light absorbed is proportional to the concentration of the contaminant.
VOC sensors: VOC (Volatile Organic Compounds) sensors measure the concentration of volatile organic compounds in the air. These compounds can come from a variety of sources such as paints, varnishes, detergents and solvents.
The accuracy and sensitivity of air quality sensors depend on several factors, such as the measurement principle used, the type and concentration of the pollutant, the sensitivity of the signal processing, and the accuracy of the calibration.
The selection of the appropriate air quality sensor depends on the type of application, e.g. indoor air quality monitoring or industrial emission monitoring, and the specific measurement requirements, e.g. accuracy, sensitivity, measuring range and operating temperature.
There are different types of air quality sensors based on different measurement principles, e.g. electrochemical sensors, optical sensors, NDIR sensors and VOC sensors. Some of the more common types of air quality sensors are described below:
Electrochemical sensors: An electrochemical sensor consists of an electrode that is placed in contact with the air. When pollutants in the air strike the electrode, an electrochemical reaction takes place, resulting in a change in electrical resistance. The change in resistance is measured and converted to the concentration of the pollutant.
Optical sensors: An optical sensor sends light through the air sample and measures how much light is absorbed by the pollutants in the air. The amount of light absorbed is proportional to the concentration of the contaminant.
NDIR sensors: An NDIR (Non-Dispersive Infrared) sensor sends infrared light through the air sample and measures how much light is absorbed by the contaminants in the air. The amount of light absorbed is proportional to the concentration of the contaminant.
VOC sensors: VOC (Volatile Organic Compounds) sensors measure the concentration of volatile organic compounds in the air. These compounds can come from a variety of sources such as paints, varnishes, detergents and solvents.
The accuracy and sensitivity of air quality sensors depend on several factors, such as the measurement principle used, the type and concentration of the pollutant, the sensitivity of the signal processing, and the accuracy of the calibration.
The selection of the appropriate air quality sensor depends on the type of application, e.g. indoor air quality monitoring or industrial emission monitoring, and the specific measurement requirements, e.g. accuracy, sensitivity, measuring range and operating temperature.
What are air quality sensors and how do they work?
Air quality sensors are devices designed to monitor and measure the quality of the air in the environment. They are able to detect various parameters such as pollutants, particles, temperature and humidity.
There are different types of air quality sensors that use different technologies to measure air quality. Some common sensors are based on chemical reactions in which certain gases react with specific chemicals to generate an electrical voltage that is proportional to the concentration of the gas.
Other sensors use optical technologies in which light is passed through the air and changes its attributes through interaction with pollutants or particles. These changes are then recorded by a detector and converted into electrical signals.
Some modern air quality sensors also use sensor networks and wireless communication to transmit data in real time and monitor air quality at different locations. These sensors can be used indoors, in cities or even in portable devices such as smartphones.
The data collected can be used to monitor air quality in order to detect pollution, assess health risks and take measures to improve air quality. Air quality sensors play an important role in maintaining a healthy environment and can help to improve people's quality of life.
There are different types of air quality sensors that use different technologies to measure air quality. Some common sensors are based on chemical reactions in which certain gases react with specific chemicals to generate an electrical voltage that is proportional to the concentration of the gas.
Other sensors use optical technologies in which light is passed through the air and changes its attributes through interaction with pollutants or particles. These changes are then recorded by a detector and converted into electrical signals.
Some modern air quality sensors also use sensor networks and wireless communication to transmit data in real time and monitor air quality at different locations. These sensors can be used indoors, in cities or even in portable devices such as smartphones.
The data collected can be used to monitor air quality in order to detect pollution, assess health risks and take measures to improve air quality. Air quality sensors play an important role in maintaining a healthy environment and can help to improve people's quality of life.
What different types of air quality sensors are there?
There are different types of air quality sensors that work differently depending on the application and measurement parameters. Here are some examples:
1. Particle sensors: These sensors measure the concentration of particles in the air, such as dust, pollen or fine dust. They use various technologies such as optical sensors, laser scattering or electrical sensors.
2. Gas and chemical sensors: These sensors detect the concentration of certain gases or chemicals in the air. For example, they can measure carbon dioxide (CO2), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2) or volatile organic compounds (VOCs). The sensors use various technologies such as electrochemical sensors, infrared spectroscopy or semiconductor sensors.
3. Temperature and humidity sensors: These sensors measure the temperature and humidity in the environment. They can provide important information about the indoor climate.
4. UV and radiation sensors: These sensors detect the intensity of ultraviolet (UV) radiation or other types of electromagnetic radiation. They can help to measure the UV index or monitor exposure to ionizing radiation.
5. Noise and sound sensors: These sensors measure the sound pressure level in the environment and can provide information about noise exposure.
These sensors can be used individually or in combination to obtain a comprehensive picture of the air quality in a specific area. The choice of sensor depends on the specific requirements and objectives of the measurement.
1. Particle sensors: These sensors measure the concentration of particles in the air, such as dust, pollen or fine dust. They use various technologies such as optical sensors, laser scattering or electrical sensors.
2. Gas and chemical sensors: These sensors detect the concentration of certain gases or chemicals in the air. For example, they can measure carbon dioxide (CO2), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2) or volatile organic compounds (VOCs). The sensors use various technologies such as electrochemical sensors, infrared spectroscopy or semiconductor sensors.
3. Temperature and humidity sensors: These sensors measure the temperature and humidity in the environment. They can provide important information about the indoor climate.
4. UV and radiation sensors: These sensors detect the intensity of ultraviolet (UV) radiation or other types of electromagnetic radiation. They can help to measure the UV index or monitor exposure to ionizing radiation.
5. Noise and sound sensors: These sensors measure the sound pressure level in the environment and can provide information about noise exposure.
These sensors can be used individually or in combination to obtain a comprehensive picture of the air quality in a specific area. The choice of sensor depends on the specific requirements and objectives of the measurement.
Which parameters can be measured by air quality sensors?
Air quality sensors can measure various parameters, including:
1. Particle pollution: This includes measuring the concentration of different particle sizes such as PM1, PM2.5 and PM10.
2. Gas pollution: Sensors can measure the concentration of various gases such as nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and volatile organic compounds (VOCs).
3. Temperature and humidity: These parameters are often measured with air quality sensors, as they are important factors for people's well-being and health.
4. Air pressure: Air pressure can also be measured by some sensors, as it can have an impact on the weather and air quality.
5. Noise level: Some air quality sensors can also measure the noise level in the environment, which is also an important factor for well-being.
It is important to note that not all sensors can measure all of the above parameters. The available functions and measuring ranges may vary depending on the sensor type and model.
1. Particle pollution: This includes measuring the concentration of different particle sizes such as PM1, PM2.5 and PM10.
2. Gas pollution: Sensors can measure the concentration of various gases such as nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and volatile organic compounds (VOCs).
3. Temperature and humidity: These parameters are often measured with air quality sensors, as they are important factors for people's well-being and health.
4. Air pressure: Air pressure can also be measured by some sensors, as it can have an impact on the weather and air quality.
5. Noise level: Some air quality sensors can also measure the noise level in the environment, which is also an important factor for well-being.
It is important to note that not all sensors can measure all of the above parameters. The available functions and measuring ranges may vary depending on the sensor type and model.
How accurate are air quality sensors in measuring air pollution?
Air quality sensors are used to measure various pollutants in the air, such as particles, gases or chemical compounds. These sensors record the concentration of these pollutants and provide information on air quality.
There are different types of air quality sensors that use different measurement methods. Some sensors work with optical technologies to determine the number and size of particles in the air. Other sensors use chemical reactions to detect certain gases or compounds.
The accuracy of the measurements depends on various factors, such as the quality and calibration of the sensors, the positioning of the sensors and the environment in which they are used. Some sensors may also be susceptible to interference or incorrect measurements if they are exposed to certain conditions, such as extreme temperatures or humidity.
It is important to note that air quality sensors generally do not have the same accuracy and reliability as professional meters used by government agencies or research facilities. Nevertheless, they can provide a useful and cost-effective way of obtaining information about air quality in certain areas or at certain times.
There are different types of air quality sensors that use different measurement methods. Some sensors work with optical technologies to determine the number and size of particles in the air. Other sensors use chemical reactions to detect certain gases or compounds.
The accuracy of the measurements depends on various factors, such as the quality and calibration of the sensors, the positioning of the sensors and the environment in which they are used. Some sensors may also be susceptible to interference or incorrect measurements if they are exposed to certain conditions, such as extreme temperatures or humidity.
It is important to note that air quality sensors generally do not have the same accuracy and reliability as professional meters used by government agencies or research facilities. Nevertheless, they can provide a useful and cost-effective way of obtaining information about air quality in certain areas or at certain times.
How is the data from air quality sensors interpreted and analyzed?
The interpretation and analysis of data from air quality sensors usually takes place in several steps:
1. Data acquisition: The sensors continuously record various parameters such as particle concentration, pollutants, temperature and humidity. The data is collected at regular intervals.
2. Data cleansing: The recorded raw data is checked for possible errors or outliers and corrected. This includes the identification and removal of erroneous readings in order to obtain accurate and reliable data.
3. Data aggregation: The individual measured values are often aggregated into larger time periods in order to provide a better overview and comparability. For example, hourly or daily average values can be calculated.
4. Data analysis: The aggregated data is analyzed to identify patterns, trends or anomalies in air quality. Various statistical methods or machine learning algorithms are used here. These analyses can show, for example, whether the air quality in a particular area is improving or deteriorating over a longer period of time.
5. Visualization and reporting: The analyzed data is often visualized in the form of charts, graphs or maps to make it easier to understand. This makes it possible to communicate the results of the analysis and make them accessible to users such as authorities or the public.
Interpreting and analyzing data from air quality sensors is crucial to gaining a better understanding of air pollution, taking action to improve air quality and protecting people's health.
1. Data acquisition: The sensors continuously record various parameters such as particle concentration, pollutants, temperature and humidity. The data is collected at regular intervals.
2. Data cleansing: The recorded raw data is checked for possible errors or outliers and corrected. This includes the identification and removal of erroneous readings in order to obtain accurate and reliable data.
3. Data aggregation: The individual measured values are often aggregated into larger time periods in order to provide a better overview and comparability. For example, hourly or daily average values can be calculated.
4. Data analysis: The aggregated data is analyzed to identify patterns, trends or anomalies in air quality. Various statistical methods or machine learning algorithms are used here. These analyses can show, for example, whether the air quality in a particular area is improving or deteriorating over a longer period of time.
5. Visualization and reporting: The analyzed data is often visualized in the form of charts, graphs or maps to make it easier to understand. This makes it possible to communicate the results of the analysis and make them accessible to users such as authorities or the public.
Interpreting and analyzing data from air quality sensors is crucial to gaining a better understanding of air pollution, taking action to improve air quality and protecting people's health.
What role do air quality sensors play in monitoring indoor air quality?
Air quality sensors play a crucial role in monitoring indoor air quality. They measure various parameters such as particles, gases and humidity to provide information on air quality. These sensors are capable of detecting potentially harmful pollutants, including carbon dioxide, volatile organic compounds (VOCs), nitrogen dioxide and particulate matter.
By continuously monitoring air quality, sensors can provide early warning of increased concentrations of pollutants and identify potential health risks. This is particularly important in indoor spaces where people spend a lot of their time, such as offices, schools, hospitals and homes.
The information provided by air quality sensors can help to take appropriate measures to improve indoor air quality. This can optimize ventilation, enable the use of air purifiers or identify and eliminate the sources of potential pollutants.
In addition, air quality sensors can also help to optimize energy consumption by controlling ventilation and air conditioning systems more efficiently. By enabling the accurate measurement of air quality, sensors can help to ensure that ventilation is only activated when it is actually needed, which can lead to energy savings.
Overall, air quality sensors play an important role in monitoring indoor air quality to improve people's health and well-being while optimizing energy consumption.
By continuously monitoring air quality, sensors can provide early warning of increased concentrations of pollutants and identify potential health risks. This is particularly important in indoor spaces where people spend a lot of their time, such as offices, schools, hospitals and homes.
The information provided by air quality sensors can help to take appropriate measures to improve indoor air quality. This can optimize ventilation, enable the use of air purifiers or identify and eliminate the sources of potential pollutants.
In addition, air quality sensors can also help to optimize energy consumption by controlling ventilation and air conditioning systems more efficiently. By enabling the accurate measurement of air quality, sensors can help to ensure that ventilation is only activated when it is actually needed, which can lead to energy savings.
Overall, air quality sensors play an important role in monitoring indoor air quality to improve people's health and well-being while optimizing energy consumption.
How can air quality sensors contribute to improving air quality?
Air quality sensors are devices that can measure the concentration of various pollutants in the air. They can help to improve air quality by enabling the following:
1. Identification of pollutant sources: Air quality sensors can help to identify the main sources of air pollution in a particular region. This enables the authorities to take targeted measures to reduce emissions from these sources.
2. Early warning systems: Sensors can monitor air quality in real time and trigger warnings if the concentration of certain pollutants reaches a level that is hazardous to health. This allows people to take timely action to reduce their exposure, such as closing windows or leaving high pollution areas.
3. Monitoring the effectiveness of measures: When authorities take measures to improve air quality, sensors can be used to monitor the effects of these measures. This enables the authorities to evaluate the effectiveness of their measures and make any necessary adjustments.
4. Raising public awareness: Air quality sensors can also help to raise public awareness of the issue of air pollution. By providing real-time data on air quality, sensors can encourage people to adopt more environmentally friendly behaviors, such as using public transportation or avoiding activities that lead to high levels of pollution.
Overall, air quality sensors can help to monitor air quality, identify problems and take measures to improve air quality. By combining sensor data with targeted measures, authorities and individuals can help to reduce air pollution and improve people's health and quality of life.
1. Identification of pollutant sources: Air quality sensors can help to identify the main sources of air pollution in a particular region. This enables the authorities to take targeted measures to reduce emissions from these sources.
2. Early warning systems: Sensors can monitor air quality in real time and trigger warnings if the concentration of certain pollutants reaches a level that is hazardous to health. This allows people to take timely action to reduce their exposure, such as closing windows or leaving high pollution areas.
3. Monitoring the effectiveness of measures: When authorities take measures to improve air quality, sensors can be used to monitor the effects of these measures. This enables the authorities to evaluate the effectiveness of their measures and make any necessary adjustments.
4. Raising public awareness: Air quality sensors can also help to raise public awareness of the issue of air pollution. By providing real-time data on air quality, sensors can encourage people to adopt more environmentally friendly behaviors, such as using public transportation or avoiding activities that lead to high levels of pollution.
Overall, air quality sensors can help to monitor air quality, identify problems and take measures to improve air quality. By combining sensor data with targeted measures, authorities and individuals can help to reduce air pollution and improve people's health and quality of life.
What challenges are there in the development and use of air quality sensors?
There are various challenges to overcome in the development and use of air quality sensors. Some of them are:
1. Accuracy: The accuracy of the sensors is a decisive factor. It is important to ensure that the sensors measure the air quality correctly and provide accurate data. The calibration of the sensors is therefore of great importance.
2. sensor materials: Choosing the right sensor materials is crucial for the reliability and longevity of the sensors. They should be robust and resistant to environmental influences such as moisture and dirt.
3. Measurement parameters: There are various parameters that influence air quality, such as particles, pollutants and gases. The sensors should be able to accurately measure and differentiate between these parameters.
4. Data processing and analysis: The collected data must be processed and analyzed in order to obtain meaningful information. This requires powerful algorithms and analysis tools.
5. Energy consumption: Sensors should be energy efficient to ensure a long battery life. This can be a challenge, as the sensors have to work continuously and collect data.
6. Calibration and maintenance: Sensors must be regularly calibrated and maintained to provide accurate results. This requires time and resources.
7. Data accuracy and trustworthiness: The accuracy and reliability of sensor data are crucial for making informed decisions. It is important that the sensors work reliably and consistently.
These challenges need to be considered when developing and deploying air quality sensors to ensure accurate and reliable data that can help improve air quality.
1. Accuracy: The accuracy of the sensors is a decisive factor. It is important to ensure that the sensors measure the air quality correctly and provide accurate data. The calibration of the sensors is therefore of great importance.
2. sensor materials: Choosing the right sensor materials is crucial for the reliability and longevity of the sensors. They should be robust and resistant to environmental influences such as moisture and dirt.
3. Measurement parameters: There are various parameters that influence air quality, such as particles, pollutants and gases. The sensors should be able to accurately measure and differentiate between these parameters.
4. Data processing and analysis: The collected data must be processed and analyzed in order to obtain meaningful information. This requires powerful algorithms and analysis tools.
5. Energy consumption: Sensors should be energy efficient to ensure a long battery life. This can be a challenge, as the sensors have to work continuously and collect data.
6. Calibration and maintenance: Sensors must be regularly calibrated and maintained to provide accurate results. This requires time and resources.
7. Data accuracy and trustworthiness: The accuracy and reliability of sensor data are crucial for making informed decisions. It is important that the sensors work reliably and consistently.
These challenges need to be considered when developing and deploying air quality sensors to ensure accurate and reliable data that can help improve air quality.