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

Sewage COD soft measurement method based on output observer

A soft measurement and observer technology, applied in the field of soft measurement of COD effluent of sewage treatment system, can solve the problems of complex reaction process, difficult measurement of key variables, strong nonlinear relationship, etc.

Inactive Publication Date: 2013-11-20
BOHAI UNIV
View PDF7 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a sewage COD soft-sensing method based on an output observer in order to solve the problems of complex reaction process, strong nonlinear relationship and difficult measurement of some key variables in the sewage treatment process

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 COD soft measurement method based on output observer
  • Sewage COD soft measurement method based on output observer
  • Sewage COD soft measurement method based on output observer

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0049] Specific implementation mode one: combine figure 1 and Figure 2 illustrate the present embodiment. A sewage COD soft-sensing method based on an output observer is carried out according to the following steps:

[0050] Step 1. Select auxiliary variables and variables to be measured: select TOC, DO, ORP, pH, T, HRT and r as auxiliary variables, and set them as u 1 ,...,u 7 , set the effluent COD as y, and the y is the variable to be measured; define the sewage treatment process as a reaction system, and the system input is u=[u 1… u 7 ]∈R l , l=7, the system output y∈R m , m=1; among them, TOC is the total organic carbon content of the influent, DO is the dissolved oxygen in the reaction tank, ORP is the oxidation-reduction potential, pH is the acidity and alkalinity, T is the water temperature, HRT is the hydraulic retention time, and r is the reflux ratio;

[0051] Step 2, data collection: use sensors to collect data samples of auxiliary variables of sewage and va...

specific Embodiment approach 2

[0086] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: step D builds the soft sensor model described in

[0087] If there is an online instrument, then It is the online instrument reading, and the soft measurement result is the optimized measurement data;

[0088] If there is no online instrument, then Median obtained for offline sampling. Others are the same as in the first embodiment.

specific Embodiment approach 3

[0089] Embodiment 3: This embodiment differs from Embodiment 1 or Embodiment 2 in that the online filter described in step F online filtering is a smoothing filter. Others are the same as in the first or second embodiment.

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 COD (Chemical Oxygen Demand) soft measurement method based on an output observer, and relates to a sewage COD soft measurement method. The method aims at solving the problems that a reaction process is complicated, a nonlinear relationship is strong, and partial key variables are difficult to measure in a sewage treatment process. The method is characterized in that the output observer with high performance is constructed by taking a to-be-measured variable as a system output, and an observer parameter in the output observer is obtained by off-line identification of historical measurement data. The method mainly has the advantages that 1), the method is independent of priori knowledge of a sewage treatment reaction model, and only uses the historical measurement data of a sewage treatment system; 2), based on a mature control theory, a closed loop observer is constructed, the dynamic performance is outstanding, and a soft measurement effect is good; and 3), an application scope is wide, and except water outlet COD of the sewage treatment system, an improved system is applied to other water quality indexes, and product ingredients in similar industrial processes such as chemical engineering, smelting and papermaking. The method is applied to the field of on-line sewage measurement.

Description

technical field [0001] The invention relates to a soft measurement method for sewage COD, in particular to a soft measurement method for effluent COD of a sewage treatment system. Background technique [0002] Due to the continuous improvement of the requirements for effluent water quality, system efficiency and other indicators, online and real-time monitoring of various water quality indicators has become an indispensable key link in modern sewage treatment systems. For indicators such as temperature and pH, online measuring instruments are usually used for detection. However, the online instruments traditionally used have many obvious shortcomings: 1) they are susceptible to interference and have large measurement errors; 2) the time lag is obvious; 3) some water quality variables cannot be measured online; 4) they are expensive and maintenance costs are high . In contrast, soft sensing technology can well overcome the above-mentioned shortcomings, and has received wide...

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 尹珅卫作龙王光杨旭高会军
Owner BOHAI UNIV
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