PSO-based recursive RBF neural network effluent BOD prediction method

A neural network and neuron technology, applied in the field of recursive RBF neural network effluent BOD prediction, can solve the problem of difficult real-time measurement of effluent BOD concentration, achieve the effect of solving the difficulty of real-time measurement and improving the level of real-time monitoring

Active Publication Date: 2019-04-19
BEIJING UNIV OF TECH
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention obtains a BOD prediction method of effluent based on PSO-RRBF neural network. By designing the PSO-RRBF neural network, the real-time measurement of BOD concentration is realized according to the data collected in the sewage treatment process, which solves the difficulty of BOD concentration in the effluent of the sewage treatment process. The problem of real-time measurement has improved the real-time monitoring level of water quality in urban sewage treatment plants;

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
  • PSO-based recursive RBF neural network effluent BOD prediction method
  • PSO-based recursive RBF neural network effluent BOD prediction method
  • PSO-based recursive RBF neural network effluent BOD prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] The present invention obtains a BOD prediction method based on PSO-RRBF neural network. By designing the PSO-RRBF neural network, the real-time measurement of BOD concentration is realized according to the data collected in the sewage treatment process, which solves the difficulty of real-time BOD concentration in the sewage treatment process. The problem of measurement has improved the real-time monitoring level of water quality in urban sewage treatment plants;

[0069] The experimental data comes from the water quality analysis data of a sewage plant in 2011, including 330 sets of data and ten water quality variables, including: (1) effluent total nitrogen concentration; (2) effluent ammonia nitrogen concentration; (3) influent total nitrogen concentration; ( 4) Influent BOD concentration; (5) Influent ammonia nitrogen concentration; (6) Outlet phosphate concentration; (7) Biochemical MLSS concentration; (8) Biochemical pool DO concentration; (9) Influent phosphate co...

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 PSO-based recursion RBF neural network effluent BOD prediction method, which is an important branch in the advanced manufacturing technology field of realizing BOD concentration online prediction, and belongs to the control field and the water treatment field. According to the invention, PSO-is designed; The RRBF neural network realizes real-time measurement of the BOD concentration according to the data collected in the sewage treatment process, solves the problem that the BOD concentration of the effluent in the sewage treatment process is difficult to measure in real time, and improves the real-time monitoring level of the water quality of an urban sewage treatment plant.

Description

Technical field: [0001] The invention relates to a PSO-based recursive RBF neural network (PSO-RRBF) effluent BOD prediction method. Realizing the online prediction of BOD concentration is an important branch in the field of advanced manufacturing technology, which belongs to both the field of control and the field of water treatment. Background technique: [0002] Biochemical oxygen demand (Biochemical Oxygen Demand, BOD) refers to the amount of dissolved oxygen in water consumed by microorganisms to decompose organic matter within a specified period of time. At present, BOD measurement methods include dilution and inoculation method, rapid determination method of microbial sensor, etc. The BOD analysis and determination period is 5 days, which is a long period and cannot reflect the concentration change of BOD in sewage in real time. At the same time, microbial sensors have disadvantages such as high cost, short life, and poor stability, which reduces the universality of ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06N3/063G06N3/04G06N3/00G01N33/18
CPCG06N3/006G06N3/063G06N3/08G01N33/1806G06N3/045
Inventor 李文静褚明慧乔俊飞
Owner BEIJING UNIV OF 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