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

Sewage quality monitoring method based on COD soft measurement

A technology of water quality monitoring and soft measurement, which is applied in the field of COD soft measurement, can solve the problems of high requirements for sewage water quality detection, inaccurate detection, and high cost, and achieve the effects of low cost, reduced calculation data volume, and convenient maintenance and management

Pending Publication Date: 2021-12-28
SHANGHAI ELECTRIC DIGITAL ECO-TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Therefore, the embodiment of the present invention provides a sewage water quality monitoring method based on COD soft measurement to solve the problems of weak applicability and inaccurate detection in the prior art due to high requirements and high cost of sewage water quality detection

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 quality monitoring method based on COD soft measurement
  • Sewage quality monitoring method based on COD soft measurement
  • Sewage quality monitoring method based on COD soft measurement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] In this example, the electrical conductivity data of the MBBR process influent of Chongming rural domestic sewage collected from April to November 2018 were used as the first sewage samples, a total of 23,781 samples, and the environmental conditions were all sunny and the temperature was 20°-30 ° between 60% and 80% humidity.

[0053] Probability distribution analysis is performed on the remaining first sewage samples, such as figure 2 As shown, Origin software is used to analyze the data distribution histogram of conductivity, and a two-dimensional coordinate system with horizontal and vertical coordinates of data quantity and conductivity is established to analyze the distribution law of influent conductivity from 0 to 2800Us / cm. Such as image 3 As shown, 6346 outliers with conductivity between 0-100Us / cm were eliminated, and the remaining data volume was 17435. The reason for the outlier was the abnormal operation of the conductivity meter. Origin software was u...

Embodiment 2

[0063] In this example, the electrical conductivity data of the Chongming rural domestic sewage MBBR process effluent was collected from April to December 2018 as the first sewage sample. Between 30° and humidity between 60%-80%.

[0064] Perform a probability distribution on the data sample. When the conductivity is between 800 and 1900μs / cm, the cumulative probability of conductivity is 79% of the total sample. When the conductivity is between 700 and 2000μs / cm, the cumulative probability of conductivity is The probability is 88% of the total samples. Based on the probability distribution results of the conductivity, the effective value range of the conductivity is 700-2000 μs / cm.

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 embodiment of the invention discloses a sewage quality monitoring method based on COD (Chemical Oxygen Demand) soft measurement. The method comprises the following steps: establishing a conductivity early-warning range based on the cumulative probability of conductivity, collecting the conductivity of a sample to be detected, comparing the conductivity with the conductivity early-warning range, determining the early-warning property of the conductivity, introducing the conductivity needing COD accurate measurement into a COD soft measurement model to obtain a COD estimated quantity, comparing the COD estimated quantity with the COD early warning range, and taking corresponding measures according to the comparison result. According to the method, the serious pollution condition is eliminated through the conductivity, then the condition that the conductivity is qualified but the chemical oxygen demand (COD) is abnormal is detected based on the correlation between the conductivity and the chemical oxygen demand (COD), the double-layer monitoring technology greatly reduces the operation data volume of the system, and the method has the advantages of being accurate in detection, easy to operate, convenient to maintain and manage, low in cost and the like, and is especially suitable for large-range and high-density arrangement, and can be applied to large-range monitoring of rural distributed domestic sewage treatment facilities.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of COD soft measurement, in particular to a sewage water quality monitoring method based on COD soft measurement. Background technique [0002] Rural decentralized domestic sewage has the following characteristics: [0003] 1. There are many types, widely distributed and scattered, and the water quality and quantity vary greatly; [0004] 2. The pipe network collection system is not sound, lacks sewage treatment facilities, and belongs to extensive discharge; [0005] 3. Intermittent discharge, concentrated in the three time periods of morning, middle and evening, the sewage flow rate is small, and the coefficient of daily variation is large, generally 3.5-5.0; [0006] 4. The composition of sewage is complex, but the concentration of various pollutants is low, and the biodegradability of sewage is good. [0007] Therefore, high-precision and low-cost monitoring of the effluent w...

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): G01N27/06G06F17/18
CPCG01N27/06G06F17/18Y02A20/152
Inventor 时美邱慧芳唐清川张伯进
Owner SHANGHAI ELECTRIC DIGITAL ECO-TECH CO LTD
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