Sewage monitoring system based on FCM and BP algorithms and establishment method thereof

Abstract

The invention discloses a sewage monitoring system based on FCM and BP algorithms and an establishment method thereof. The system comprises a data acquisition module, a water quality monitoring management platform and a PC control terminal. Water quality data information is acquired through the data acquisition module, the water quality monitoring management platform processes the data and displays the data through the PC control terminal, and meanwhile, the PC control terminal sends an acquisition command to the data acquisition module to form a closed cycle so as to perform real-time onlinemonitoring on sewage. In the data processing process, a water pollution source is analyzed through FCM and BP neural network algorithms, and an obtained sample is high in quality, high in convergencespeed and low in sample dependence; meanwhile, the position and influence range of a pollution source can be quickly and accurately determined through a particle swarm optimization algorithm, and themethod has the advantages of high processing precision and high speed; and meanwhile, the sewage monitoring system has the advantages of reducing the pollution of sewage to the environment and improving the resource utilization efficiency during use.

Description

technical field [0001] The invention relates to the technical field of sewage treatment monitoring, in particular to a sewage monitoring system based on FCM and BP algorithm and an establishment method thereof. Background technique [0002] With the development of my country's economy and technology, there are many factories, and the discharge of sewage has caused a serious impact on the environment. At present, my country's sewage discharge presents a variety of sewage types, non-uniform discharge locations, extensive management of sewage discharge supervision, and economic and technological inadequacies. Reasonable questions are mainly manifested in: [0003] (1) The detection technology is still simple mathematical calculation or manual review, which cannot meet the judgment and management of the real environment by the environmental supervision department; [0004] (2) The realization of pollution source data analysis technology is based on simple mathematical calculatio...

AI Technical Summary

Problems solved by technology

[0003] (1) The detection technology is still simple mathematical calculation or manual review, which cannot meet the judgment and management of the real environment by the environmental supervision department;

[0004] (2) The realization of pollution source data analysis technology is based on simple mathematical calculation or manual review, and there is still a lack of in-depth research on scientific and reliable automatic analysis and diagnosis methods;

[0005] (3) In the past sewage monitoring, the form of manual monitoring and recording is usually used, the monitoring is random and the real-time performance is poor. The existence of these problems has brought difficulties to the accuracy of sewage detection;

[0006] With the development of automatic monitoring technology, the system of sewage monitoring using wired technology has begun to be used on a large scale in developed countries such as the United States and Japan, but there are still disadvantages such as troublesome wiring and high cost; The traditional timing and fixed-point sampling and laboratory offline analysis have developed into online monitoring. The laboratory offline analysis has a long measurement cycle, complex operations, and strict experimental requirements, and cannot meet the needs of real-time monitoring. In addition, the traditional sewage online monitoring system has a complicated pretreatment process. , The detection equipment is bulky, the detection cycle is long, and continuous automatic detection cannot be realized;

Images