Abstrait

Fine particles affecting human health monitoring method based on the internet of things and image processing

Xiaoqiang Zhao, Wen Cheng, Lei Xue

In order to improve the environmental quality of atmosphere, Fine Particles monitoring work is of great significance. The Internet of things transmission technology and image processing technology, two advancing technologies, are used to monitoring Fine Particles data. Use Huawei MC509 wireless data transmission module of CDMA2000 1Xev-DO network structure and four direction of edge detection method, then by Yeelink platform to implement the collected a large number of particle image access management, data storage and data presented to the server computer at any time. Through the analysis of experimental results, there correlation coefficient is 0.9693 between the number of particles detected by the system and the official Fine Particles density. Because of the highly linear positive correlation, Fine Particles monitoring method has important practical reference value.