Online pollution monitoring and tracing system and method based on artificial intelligence

Abstract

The invention discloses an online pollution monitoring and tracing system and method based on artificial intelligence, and belongs to the field of environmental protection. The method comprises: establishing a polluted wastewater chemical fingerprint database; performing online monitoring, and collecting pollution risk data in real time; accident risk qualitative and screening; quantitatively analyzing and comparing the data to determine the accident occurrence possibility; and carrying out five steps of on-site investigation, evidence obtaining and verification of accident occurrence possibility. According to the method, the pollution discharge condition of the factory in the target water area is investigated in a groping manner, the sewage discharge fingerprint database is established, the uncertainty between the monitoring data and the actual data is determined through the inversion method, and then the pollution source occurrence place is determined by comparing the similarity andthe uncertainty. The problems of subjectivity, hysteresis quality, high equipment requirements and large workload of a traditional pollution source tracing method for pollution accidents are solved, the difficulty of data detection is reduced, and the feasibility of the tracing method is improved.

Description

technical field [0001] The invention belongs to the field of environmental protection, in particular to an artificial intelligence-based pollution on-line monitoring and traceability system and method. Background technique [0002] As a typical developing country, my country's rivers and other waters have always been threatened by chemical leakage accidents, and there are often water pollution incidents caused by a small number of factories secretly discharging at night. Other developing countries and developed countries also face similar troubles and challenges. The same river pollution incidents occur. Therefore, it is necessary to develop the premise of pollution traceability based on monitoring data, and determination of pollution discharge information for emergency response and risk prevention and control. [0003] At present, the more effective pollution source traceability method usually uses isotope analysis, infrared spectroscopy and other high-precision equipment f...

AI Technical Summary

Problems solved by technology

As for water pollution in small watersheds, since domestic local environmental protection departments do not have isotope analysis and infrared spectroscopy capabilities at all, it is necessary to send samples to a third-party testing agency for quantitative testing, and then further analyze and process the data, which is not time-sensitive. , so that it is not feasible to obtain relevant evidence in time

In addition, more empirical data are used to infer the correlation between accident chemicals and risk source pollutants, and norms and standards have not yet been formed.

Images