Date
07/27/2022
Poor ventilation can lead to rapid accumulation of CO 2. This is a threat to human well-being, as even moderate CO 2 concentrations can affect health and productivity. Efficient indoor air quality monitoring systems can prevent such issues. In addition, carbon dioxide detection is enabling energy savings through demand controlled ventilation. However, to implement those systems quickly and easily, it is important for developers to test the behavior of a system in a controllable and time-saving manner. Therefore, Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) is launching the new XENSIV™ PAS CO2 Shield2Go board, which is suitable for both air quality monitoring and demand-controlled ventilation for energy savings.
The new board is part of the Infineon Shield2Go portfolio featuring sensors, microcontrollers and security ICs that can be freely combined as part of an integrated prototyping concept. The XENSIV PAS CO2 Shield2Go board comes with a DCDC boost converter that supplies the sensor with the required 12 V power supply. That way a 5 V supply, for instance via USB provided by a microcontroller board, is sufficient and allows prototyping without the need for an external 12 V power supply.
Furthermore, the board is equipped with an Infineon IC and comes with a ready-to-use Arduino library – as do all boards in the portfolio. Adapters from Shield2Go to the common prototyping form factors Arduino Uno and Raspberry PIs 40-pin interface are also available to support quick start-up. Moreover, all boards come equipped with solderless connectors, allowing designers to stack the boards instead of soldering them.
Infineon's XENSIV PAS CO2 sensor used for the board has a very small form factor. The device offers high accuracy as well as robust performance in the ppm range (±30ppm; ± 3 percent of reading) fulfilling most stringent air quality regulations & standards. In addition, the sensor has advanced algorithms for compensation and self-calibration. It also features UART, I 2C, and PWM interfaces, as well as various configuration options for e.g. sampling rate and baseline calibration.
More information is available here.