Sewage water quality detection method and apparatus

A technology for water quality testing and sewage, applied in testing water, material inspection products, etc., can solve the problems of complex testing process and prone to errors, achieve high prediction accuracy, good applicability, and facilitate real-time monitoring and adjustment.

Inactive Publication Date: 2013-08-07
GUANGZHOU INST OF RAILWAY TECH
View PDF2 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the detection of total nitrogen and total phosphorus is done manually, and there

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 water quality detection method and apparatus
  • Sewage water quality detection method and apparatus
  • Sewage water quality detection method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The sewage water quality detection process is a multi-variable, multi-objective, multi-level complex process including massive information processing, and there is a strong coupling and correlation between various parameters. Some important indicators are difficult to measure online, such as the values ​​of BOD5, N, and P. In order to better monitor these indicators, the soft measurement technology that has emerged in recent years can be used, that is, the use of easy-to-measure process variables and difficult-to-measure directly. The mathematical model (soft sensor model) between the measured process variables, through various mathematical calculations and estimation methods, uses computer software to realize the measurement of the process variables to be measured. Support Vector Machine (SVM, Support Vector Machine) is a soft sensor modeling method based on statistical learning theory. Its goal is to construct a decision function to classify test data as correctly as p...

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 present invention discloses a sewage water quality detection method and an apparatus, wherein data training is performed to pre-establish a prediction model based on a relevance vector machine, and the total nitrogen and the total phosphorus in sewage are predicted by using the prediction model. Compared to the manual detection method, the method and the apparatus have the following characteristics that: online prediction can be achieved, real-time monitoring and regulation are easily performed, and contribution is provided for real-time monitoring automation of sewage water quality. In addition, the prediction model adopted by the method and the apparatus is a soft measurement method based on the relevance vector machine, and has better applicability and higher prediction accuracy compared with a model established by adopting a neural network and support vector machine modeling method.

Description

technical field [0001] The invention relates to the technical field of sewage detection, in particular to a sewage water quality detection method and device. Background technique [0002] With the development of urbanization and the development of industrial and agricultural production, the amount of sewage discharge is increasing day by day. In recent years, my country has built a large number of sewage treatment plants to improve the water environment and prevent further deterioration. Due to the complex mechanism of the sewage treatment process, in order to establish a good monitoring mechanism and ensure good effluent water quality, it is necessary to monitor the water quality parameters in the sewage treatment process in time. [0003] According to relevant national discharge standards, total nitrogen and total phosphorus are important indicators to measure water quality. However, at present, the detection of total nitrogen and total phosphorus is done manually, and t...

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): G01N33/18
Inventor 罗隆周力尤
Owner GUANGZHOU INST OF RAILWAY TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap