Cloud connection oriented real‐time monitoring system for atmospheric particles. (1st February 2020)

• Record Type: Journal Article
• Authors: Bao, Li‐qun
• Is Part Of: IET wireless sensor systems. Volume 10:Number 1(2020)
• Page Start: 31
• Page End: 36
• Publication Date: 2020-02-01
• Subjects: environmental science computing -- cloud computing -- air pollution measurement -- computerised monitoring -- data acquisition; ET‐iLink open cloud platform -- Android operating system -- movable data acquisition nodes -- atmospheric particle concentration -- unfixed data acquisition points -- atmospheric particle monitoring system -- real‐time remote monitoring system -- cloud connection oriented real‐time monitoring system -- single‐chip microcomputer -- laser scattering method -- GPRS network -- mobile pollution sources; Wireless sensor networks -- Periodicals; 681.2
• DOI: 10.1049/iet-wss.2018.5179
• Languages: English
• ISSNs: 2043-6386

Abstract

Abstract : To meet the requirements of data acquisition from mobile pollution sources and unfixed data acquisition points in atmospheric particle monitoring system, this study designs a real‐time monitoring system for atmospheric particles such as PM2.5 based on a single‐chip microcomputer, an ET‐iLink open cloud platform and an Android operating system. The movable data acquisition nodes for atmospheric particles are designed. The laser scattering method is used to obtain the data of atmospheric particle concentration, which are uploaded to the cloud platform through the GPRS network. The Android application obtains the real time data of atmospheric particle concentration from the cloud platform. Thus the real‐time remote monitoring for atmospheric particles is realised. The test results show that the system has the following advantages: stable performance, high scalability and low error rate.