IoT -Platform for ML-based Industrial Air Emissions Data Processing

Abstract

With the development of Industry 4.0, it is necessary to search and develop IoT platforms for monitoring, control, and management of industrial enterprises' impact on atmospheric air. The proposed platform can be used to create unified integrated solutions for pollution monitoring, online analysis of statistics and forecasting the dynamics of atmospheric air pollution, as well as automatic regulation of technological processes according to the criterion of environmental safety. The platform differs from the known ones by its modular solution principle, including the use of an integration server based on Industrial Internet of Things (IoT) technologies, availability of flexible customizable visualization based on customizable widgets, including GIS, as well as use of a low computational complexity machine learning analytical server in the control loop, which together allow for quick design and integration of SaaS environmental services operating in online mode.