Dynamically correlating low-cost sensors with Dylos DC1100 Pro

1. Abstract

A gap between research findings and publication distance the research topic to the audience. A long time gap could lead to less relevant of the findings. Data integrity has become a major concern when a longer data not being processed, the more data become obsolete and subjected to tempering. Reducing processing time between experiments and publication is one way to engage audience with the research. Lowcost sensors with near real-time data make easier for users to publish data timely. In this writing, the authors compared several air quality sensors including Dylos 1100 Pro, Honeywell, Plantower and Nova Fitness. The correlating coefficient with a reference station was used to evaluate accuracy of the sensors.