Design and application of on-site law enforcement and supervision information system for air pollutants emission from stationary sources based on IoT

It is urgent for the law enforcement of the air pollutants emissions from stationary sources to rely on an intelligent law enforcement system to accurately locate the illegal emission behavior of enterprises, and quickly monitor and obtain the pollutant emission concentrations as the evidence. Aiming at the common functional defects of the current air environment law enforcement system, known as "paying more attention to the management than the evidence", a new-generation intelligent law enforcement and supervision system with integrated hardware and software was put forward. The concept of IoT was adopted in the new system, combined with multi-scale air monitoring technologies. The ability of real-time data transmission between airborne, on-board, portable monitoring equipment and the law enforcement system was achieved, which relied on multiple data transmission and integration technology. Through a database with embedded analysis and calculation models, intelligent law enforcement functions were realized, such as identification of areas with air pollutants emission anomalies, rapid monitoring and evidence collection of on-site air pollutant concentrations, covert inspection and evidence collection, law enforcement process guidance, recognition of law and standard violations, remote command of the law enforcement, etc. Air environment law enforcement demonstration was carried out in iron and steel, heavy metals and other industries. Through IoT monitoring sensor sampling, multiple on-site violations were discovered, such as the exceeding of emission standards from outlets, excessive air pollutant concentrations at the factory boundary, and the inconsistency of approval and construction of exhaust outlets. Penalty opinions were put forward and filed for the record provided. This process significantly improved the efficiency and accuracy of environmental law enforcement.