描述
SparkFun Air Quality Breakout – CCS811 空氣質量感測器模組
CCS811空氣質量Breakout是一種數字氣體傳感器解決方案，可感測各種總揮發性有機化合物（TVOC），包括等效二氧化碳（eCO 2）和金屬氧化物（MOX）水平。揮發性有機化合物通常被歸類為污染物和/或感官刺激物，可以來自各種來源，如建築材料（油漆，地毯等），機器（複印機，加工者等），甚至人（呼吸，吸煙等）。 ）。這個Breakout是針對個人設備（如手錶和手機）的室內空氣質量監測，但是我們已經把它放在分線板上，所以您可以將其用作普通的I 2C設備。
板載CCS811支持多種測量模式，在有源傳感器測量和空閒模式下針對低功耗進行了優化，延長了便攜式應用的電池壽命。我們已經打破了CCS811的每個必要的引腳以及額外的引腳來添加您自己的NTC熱敏電阻來確定CCS811周圍的溫度，這可以用來幫助補償讀數。
注意：請注意，CCS811數據表推薦使用48小時的老化和20分鐘的磨合（您必須等待20分鐘，使傳感器預熱並輸出有效數據）。
模組特色：
- 總揮發性有機化合物（TVOC）感應從0到1176十億分之十
- eCO 2感應從400到8,192百萬分之一
- 五種操作模式
- 集成的MCU
- 機載處理
- 標準I 2 C數字接口
- 優化的低功耗模式
- 可選的NTC熱敏電阻引腳
The CCS811 Air Quality Breakout is a digital gas sensor solution that senses a wide range of Total Volatile Organic Compounds (TVOCs), including equivalent carbon dioxide (eCO2) and metal oxide (MOX) levels. VOCs are often categorized as pollutants and/or sensory irritants and can come from a variety of sources like construction materials (paint, carpet, etc.), machines (copiers, processors, etc.) and even people (breathing, smoking, etc.). This breakout is intended for indoor air quality monitoring in personal devices such as watches and phones, but we’ve put it on a breakout board so you can use it as a regular I2C device. The onboard CCS811 supports multiple measurement modes that have been optimized for low-power consumption during an active sensor measurement and idle mode extending battery life in portable applications. We have broken out each necessary pin on the CCS811 as well as additional pins to add your own NTC Thermistor to determine the temperature of the CCS811’s surroundings, which can be used to help compensate the readings. Note: Please be aware that the CCS811 datasheet recommends a burn-in of 48 hours and a run-in of 20 minutes (you must allow 20 minutes for the sensor to warm up and output valid data). Get Started with the CCS811 Breakout Guide
原廠技術文件與範例
- Schematic
- Eagle Files
- Hookup Guide
- Air Quality Measurements How-To
- Programming and Interfacing Guide (CCS811)
- Datasheet (CCS811)
- Arduino Library
- GitHub
