Rapid pollution incident detection method based on traditional online monitor

Abstract

The invention provides a rapid pollution incident detection method based on a traditional online monitor, and belongs to the technical field of environmental engineering water treatment. The method includes the steps: building a pollution-free background database and a polluted background database; building composite sequences, presetting model parameters and optimizing training to obtain optimal parameters; building optimized pollution incident detection recognition matrixes, and recognizing pollution incidents in real time. The pollution incidents can be determined in a short time by the aid of traditional online monitors universally mounted at current monitoring points when abrupt pollution incidents happen, misinformation of the pollution incidents caused by instrument noise fluctuation is effectively avoided, online monitoring cost of the pollution incidents can be greatly reduced as compared with emerging online monitoring technology, all pollutants possibly causing the pollution incidents are covered, and safety and reliability of a water system are furthest guaranteed.

Description

technical field [0001] The invention relates to an emergency method for quickly detecting the existence of an event when a sudden water pollution accident occurs, and belongs to the technical field of environmental engineering water treatment. Background technique [0002] In the past ten years, environmental pollution has become increasingly serious, and sudden water pollution incidents have also increased frequently. Different from general water pollution incidents, sudden water pollution incidents are caused by the abnormal discharge or leakage of a large number of highly toxic, highly toxic, toxic and harmful chemicals into the water body in an instant or in a short period of time. The fixed discharge mode and discharge route occur suddenly and are difficult to control, so it is very destructive to the ecological environment and extremely harmful to the safety of surrounding residents and biological life. [0003] The main characteristics of sudden water pollution incid...

AI Technical Summary

Problems solved by technology

However, the above-mentioned pollution early warning technologies have certain deficiencies.

Among them, the most fundamental problem of biological early warning technology is that the analysis baseline cannot be stable; because the detector is a biological detector, its biological activity has irregular changes, and its analysis baseline cannot be stable theoretically, which is exactly the reason for all analysis. An important prerequisite for the method; at the same time, the technology judges through a single comprehensive index, and cannot establish the characteristic data of pollutants. When the pollution event of the same nature occurs again, the system cannot learn from historical data, and repeated qualitative traceability work is required.

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