The invention relates to the technical field of
pollutant monitoring, in particular to an industrial
solid waste blending
combustion pollutant intelligent
monitoring system which comprises a data fusion module, a
diffusion judgment module, a
concentration prediction module, a risk monitoring module and an early warning distribution module, and the trend of particulate matter and
gas monitoring data is analyzed based on a blending
combustion reaction furnace outlet and a
smoke exhaust pipeline section. According to the invention, through combined
processing of multi-point
time sequence monitoring data, various pollutants and environmental parameters are collected in real time, precise spatial partitioning of a monitoring object,
coupling analysis based on meteorological factors and spatial
diffusion characteristics, dynamic identification of response differences of pollutants in each area of a factory, and through extraction of a concentration change interval and a risk trend
signal, a real-time monitoring result is obtained. According to the method, emission risk types are subdivided, graded intervention information is generated, the response speed and the judgment capability of abnormal states of pollutants under complex environment disturbance are improved, dynamic
adaptation and detailed management and control of an intelligent
monitoring system are promoted, and high-reliability
decision making of emission control in various scenes of a
plant area is further supported.