Allicdata Part #: | 235-1462-ND |
Manufacturer Part#: |
AAS-AQS-UNO-RH-CO2 |
Price: | $ 85.76 |
Product Category: | Development Boards, Kits, Programmers |
Manufacturer: | Amphenol Advanced Sensors |
Short Description: | AIR QUALITY BOARD CO2 DUST HUMID |
More Detail: | SM-PWM-01C, T6713, T9602 - Air Quality Monitor Sen... |
DataSheet: | AAS-AQS-UNO-RH-CO2 Datasheet/PDF |
Quantity: | 26 |
Lead Free Status / RoHS Status: | Contains lead / RoHS Compliant |
Moisture Sensitivity Level (MSL): | 1 (Unlimited) |
1 +: | $ 77.96250 |
Series: | -- |
Part Status: | Active |
Lead Free Status / RoHS Status: | -- |
Sensor Type: | Air Quality Monitor |
Moisture Sensitivity Level (MSL): | -- |
Sensing Range: | -- |
Interface: | I²C |
Sensitivity: | -- |
Voltage - Supply: | 5V |
Embedded: | Yes, MCU, 8-Bit |
Supplied Contents: | Board(s), Cable(s) |
Utilized IC / Part: | SM-PWM-01C, T6713, T9602 |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
Evaluation boards and sensors are essential components of many industrial and home-based applications, ranging from small creative projects to large-scale automation systems. This article will explain the application field and working principle of various popular types of evaluation board and sensor technologies, specifically AAS-AQS-UNO-RH-CO2.
AAS, or \'Atmosphere Automated System\', is a sensor technology that uses microwaves, infrared radiation and radio waves to measure atmospheric constituents such as noble gasses, ozone levels, temperature and humidity. AAS sensors are often used in large-scale industrial applications, such as weather stations and marine research. The working principle is that each atmospheric component has its own unique absorption or scattering pattern. AAS sensors detect these patterns in order to determine the concentrations of atmospheric components present in the air.
AQS, or \'Atmosphere Quality Sensors\', are used to detect air pollutants including particulate matter, volatile organic compounds, nitrogen dioxide and carbon dioxide. They are most commonly used in air quality monitoring applications. AQS sensors are usually equipped with metal oxide semiconductors, infrared emitters and light-sensitive detectors that can detect the presence of air pollutants. When a pollutant molecule is sensed, its characteristics are compared to a database to identify the pollutant and its concentration.
UNO, or \'Ultrasonic Air Quality Monitoring System\', is an alternative to AQS. This system uses ultrasonic transducers that emit high-frequency sound waves to measure air velocity, pressure, temperature and other parameters. The sound waves are reflected off of the particles in the air, letting the system measure the particle density and concentration. UNO systems are employed in asthma and bronchitis management, air filtration systems, and building ventilation systems.
RH, or \'Relative Humidity\', is a measure of the amount of water vapor present in the air. RH sensors use heated thermistors to detect the temperature and humidity of the air. They send an electrical signal proportional to the measure of humidity and temperature to a device that can interpret the results. They are commonly used in weather and environmental monitoring applications, as well as in HVAC systems.
CO2, or \'Carbon Dioxide\', is a naturally occurring gas found in the atmosphere. CO2 sensors use non-dispersive infrared technology to detect and measure the amount of carbon dioxide in the air, and send an electrical signal corresponding to the level of carbon dioxide present. They are extensively used in industrial applications such as HVAC systems and fermentation processes.
In summary, evaluation boards and sensors are important components for many different applications. This article discussed AAS-AQS-UNO-RH-CO2 sensor technologies, which are used in a wide variety of industries for air quality monitoring, environmental measurement, and other applications.
The specific data is subject to PDF, and the above content is for reference
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