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

A technology for sewage monitoring and establishment of methods, applied in neural learning methods, CAD numerical modeling, calculations, etc., can solve the problems of long detection period, inability to achieve continuous automatic detection, and troublesome wiring.

Pending Publication Date: 2020-07-14
TIANJIN SINO GERMAN VOCATIONAL TECHNICAL COLLEGE
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sewage monitoring system based on FCM and BP algorithms and establishment method thereof
  • Sewage monitoring system based on FCM and BP algorithms and establishment method thereof
  • Sewage monitoring system based on FCM and BP algorithms and establishment method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0085] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0086] Refer to attached Figure 1-5Shown, a kind of sewage monitoring system based on FCM and BP algorithm and its establishment method, wherein said establishment method comprises the following steps:

[0087] Step 1: Use the FCM and BP hybrid algorithm to analyze the collected water pollution data, and use the particle swarm optimization algorithm to determine the intrusion position, start time and intrusion speed of water pollutants, and design the pollution source based on the FCM and BP hybrid algorithm Analyze the built-in processor of the module, and use the MATLAB programming tool for programming;

[0088] Step 2: After designing the built-in processor of the pollution source analysis module based on FCM a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F30/20G06K9/62G06N3/04G06N3/08G06F111/10
CPCG06N3/08G06N3/045G06F18/23
Inventor 韩梅
Owner TIANJIN SINO GERMAN VOCATIONAL TECHNICAL COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products