Pollution source identification method and system based on data fusion

Abstract

The invention discloses a pollution source identification method and system based on data fusion. The method comprises the following steps: preprocessing a pollution source sample, and then testing pollution indexes to obtain conventional water quality data, ultraviolet-visible absorption spectrum data and three-dimensional fluorescence spectrum data; preprocessing the test data and then performing feature extraction; splicing the extracted feature data to construct fusion data; establishing a pollution source identification model according to the fusion data and a classification algorithm, and performing training; and carrying out pollution source identification through the trained pollution source identification model. The system comprises a sampling module, a sample pretreatment module, a sample introduction module, an analysis and test module, a data transmission module and a display and system control module. According to the method, conventional water quality, the ultraviolet-visible absorption spectrum and the three-dimensional fluorescence spectrum are subjected to data fusion and applied to pollution source identification, and compared with a traditional pollution source identification method, the method is accurate, intelligent, low in cost and high in operability and has important significance on source tracing of the pollution source.

Description

technical field [0001] The invention relates to the technical field of environmental supervision, in particular to a method and system for identifying pollution sources based on data fusion. Background technique [0002] At present, the traceability of leaks and leaks by sewage units mainly relies on manual investigation. Manual investigation usually means that after a pollution accident occurs, the sewage water quality of the sewage discharge unit is gradually checked upstream from the accident site to trace the source of illegal sewage discharge. However, this method is time-consuming and laborious, and it is easy to lose timeliness and low efficiency. [0003] In recent years, a manual investigation method based on the database of characteristic pollutants has emerged. Comparing the pollutant data of polluted water, soil or air with the database of characteristic pollutants of pollution sources can narrow the scope of investigation, reduce the workload of investigation,...

AI Technical Summary

Problems solved by technology

The composition of pollutants in pollution sources is usually complex, and a single index has limitations in the characterization of pollution sources

For similar pollution sources (such as different enterprises in the same industry), the identification model based on a single indicator often has a low accuracy in identifying pollution sources

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