Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Soft measurement method for biochemical oxygen demand BOD in process of sewage disposal

A biochemical oxygen demand and sewage treatment technology, applied in the direction of electrical digital data processing, special data processing applications, water testing, etc., can solve the problems of long BOD measurement cycle and achieve the effect of solving the long measurement cycle

Inactive Publication Date: 2009-03-18
BEIJING UNIV OF TECH
View PDF0 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

By analyzing the sewage treatment process, this method selects a group of variables that are closely related to BOD and easy to measure as auxiliary variables among many measurable variables, and realizes the mapping between auxiliary variables and BOD by constructing a dynamic neural network, thereby realizing On-line measurement of sewage water quality BOD solves the current problem of long BOD measurement cycle

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
  • Soft measurement method for biochemical oxygen demand BOD in process of sewage disposal
  • Soft measurement method for biochemical oxygen demand BOD in process of sewage disposal
  • Soft measurement method for biochemical oxygen demand BOD in process of sewage disposal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The present invention adopts Principal Component Analysis (PCA) to determine auxiliary variables; Principal Component Analysis (PCA) has another name called Principal Component Analysis, as a tool for reducing the dimensionality of input data and revealing linear correlations between variables, it is a statistical correlation analysis technique; The basic idea of ​​the analysis is to reduce the dimensionality of the high-dimensional variable space under the principle of ensuring the least loss of data information, so that the principal component variables in the low-dimensional feature vectors retain the characteristic information of the original variables and eliminate redundant information; the PCA algorithm The main steps:

[0062] I. The sample set data is normalized with the zero-mean standardization method:

[0063] x αβ * = x αβ - ...

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 relates to a soft measurement method for the biochemical oxygen demand in sewage treatment, belonging to the sewage treatment technical field, while the sewage treatment has serious production conditions, serious random interference, strong nonlinearity, large time varying and serious delay, thus is hard to establish an accurate mathematic model via mechanism analysis, and the nerve network has advantages for controlling the system of high linearity and serious uncertainty. At the point of online detection of the key water quality parameter as the BOD (Biochemical Oxygen Demand) in the sewage treatment, the invention adopts a sewage water quality soft measurement modeling method based on neurocomputing and utilizes a delete-type nerve network to realize the biochemical oxygen demand BOD online soft measurement in sewage treatment, to obtain good effect, improve the quality and efficiency of sewage treatment, reduce sewage treatment cost, save investment and operation cost, and on-time detect water quality and parameters, to improve the efficiency and stability of sewage treatment plants.

Description

technical field [0001] Soft sensing is one of the main development trends of detection technology and instrumentation research, and is an important branch in the field of advanced manufacturing technology. The present invention relates to a soft sensing method for effluent water quality indicators in the process of sewage treatment. Soft sensing is to select a group of auxiliary variables (such as temperature, pressure, flow, etc.) Prior learning and memory enable estimation of the primary variables. The accuracy of soft measurement depends on the effect of learning, memory and association of measured data and the ability of continuous re-learning. Applying soft sensing technology to sewage treatment systems can not only save investment and operating costs, but also monitor effluent quality and related parameters in a timely manner, thereby promoting efficient and stable operation of sewage treatment plants. Therefore, the application research of soft sensor technology in se...

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): G01N33/18G06F19/00
Inventor 乔俊飞韩红桂李荣李淼樊瑞元关小杰
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com