Structures and Algorithms of the Automated Ecological Monitoring System of Industrial Enterprises

• Published in: 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) pp. 1 - 5
• Main Authors: Belov, A.A., A.Yu, Proskuryakov
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2019
• Subjects: compression algorithm; Environmental monitoring; functional model; Industrial engineering; polluting emissions data; remote monitoring; Telecommunications; time series; Time series analysis; Wavelet transforms
• DOI: 10.1109/FarEastCon.2019.8934926

The paper presents a functional model of a telecommunications system for automated environmental monitoring of pollutant emissions, as well as a block diagram of the implementation of a remote monitoring system for emission levels. The possibility of using unmanned guided flying objects to ensure control over the environmental safety parameters of industrial enterprises is shown. Methods of time series compression using threshold processing based on the tresholding algorithm, as well as the algorithm of forming time series trends to identify long-term dependencies in monitoring data are developed and investigated.