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Drinking water disinfection byproduct prediction method and system

A technology of disinfection by-products and prediction methods, applied in prediction, neural learning methods, testing water, etc., can solve the problems of low content, inability to reach the detection limit of instruments, and high detection costs

Pending Publication Date: 2020-12-29
JILIN JIANZHU UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These disinfection by-products will pose a huge threat to human health, DBP S The content is often very low and cannot reach the detection limit of existing instruments, so pretreatment such as concentration or extraction of water samples is required, and instruments such as gas chromatography (GC) and gas chromatography / mass spectrometry (GC / MS) are required to detect The cost is high, and it will consume a lot of time and money when measuring disinfection by-products. Therefore, it is of great practical significance to find an efficient and economical method for detecting disinfection by-products in the water supply network to ensure the safety of drinking water.

Method used

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  • Drinking water disinfection byproduct prediction method and system
  • Drinking water disinfection byproduct prediction method and system
  • Drinking water disinfection byproduct prediction method and system

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Embodiment

[0052] figure 1 It is a flow chart of the method for predicting disinfection by-products of drinking water in the embodiment of the present invention, such as figure 1 As shown, a method for predicting drinking water disinfection by-products, including:

[0053] Step 101: Obtain the water age prediction data (T i ) and water quality data of drinking water to be predicted. Water quality data including residual chlorine (Cl 2 ), turbidity (NTU), pH (PH), ammonia nitrogen (NH 3 -N), nitrate nitrogen (NO 3 - -N), nitrite nitrogen (NO 2 - -N), total organic carbon (TOC), ultraviolet absorbance (UV 254 ), fluoride ion (F - ), total iron (Fe).

[0054] Water age prediction data, the specific generation method includes: obtaining the parameters of the water supply network; the parameters of the water supply network include the length of the pipe section, the size of the pipe diameter, the boundary condition of the flow velocity of the pipe section, the flow rate of the nodes...

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Abstract

The invention discloses a drinking water disinfection byproduct prediction method and system. The method comprises the following steps: acquiring water age prediction data of drinking water to be predicted and water quality data of the drinking water to be predicted; and inputting the water age prediction data and the water quality data into an adaptive genetic BP neural network model for predicting the drinking water disinfection by-product to obtain a drinking water disinfection by-product prediction value. By adopting the drinking water disinfection byproduct prediction method and system, the disinfection byproducts in the water supply pipe network can be efficiently and economically predicted.

Description

technical field [0001] The invention relates to the technical field of water quality detection, in particular to a method and system for predicting disinfection by-products of drinking water. Background technique [0002] The urban water supply network is an important infrastructure to ensure people's living standards, and the safety of drinking water has received more and more attention. However, at present, the water supply network facilities in most cities are old, the information is not perfect, and the management methods are backward, which leads to "secondary pollution" of drinking water that has been treated up to the standard. Therefore, it is necessary to maintain an appropriate amount of residual chlorine in drinking water. When the water plant adds chlorine disinfectant, it will react with organic matter in the water to generate disinfection by-products (DBP S ). DBP S Mainly include: trihalomethanes (THMs), haloacetic acids (HAAs), haloacetonitriles (HANs), et...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06N3/12G06Q10/04G06Q50/06G01N33/18
CPCG06N3/084G06N3/126G06Q10/04G06Q50/06G01N33/18G06N3/086
Inventor 林英姿刘根王高琪张代华杨昊魏宇航刘莞青
Owner JILIN JIANZHU UNIVERSITY
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