Calibration of Portable Particulate Matter–Monitoring Device using Web Query and Machine Learning

摘要

Monitoring and control of PM are being recognized as key to address health issues attributed to PM . Availability of low-cost PM sensors made it possible to introduce a number of portable PM monitors based on light scattering to the consumer market at an affordable price. Accuracy of light scattering–based PM monitors significantly depends on the method of calibration. Static calibration curve is used as the most popular calibration method for low-cost PM sensors particularly because of ease of application. Drawback in this approach is, however, the lack of accuracy.