Method and system for identifying water quality hidden danger points of multi-water-source water supply pipe network

Abstract

The invention provides a method for identifying water quality hidden danger points of a multi-water-source water supply pipe network, which comprises the following steps of: S1, performing traceability analysis on water source nodes to obtain a traceability percentage matrix of water consumption of each node from each water source; S2, determining a water supply range of each water source according to the traceability percentage matrix to obtain water supply range partitions; S3, executing water age simulation analysis to obtain a water age representative value of each node in each partition;and S4, identifying a water quality hidden danger point according to the water age representative value of each node of each subarea, and drawing a water quality hidden danger point chart. According to the method, traceability analysis is carried out on the water supply pipe network, water supply ranges of all water sources are partitioned by analyzing a traceability percentage matrix, then waterquality hidden danger points in all partitions are recognized, and finally the water quality hidden danger points are presented in a chart mode, so that water affair workers can be helped to recognizethe specific positions of the water quality hidden danger points of the pipe network more visually; and drinking water safety of the multi-water-source water supply pipe network is guaranteed by improving the monitoring level of water quality hidden danger points.

Description

technical field

[0001] The invention relates to the field of water supply pipe network systems, and more specifically, to a method and system for identifying water quality hidden danger points in a multi-water source water supply pipe network. Background technique

[0002] The water supply network is an important part of the water supply system. The raw water has been treated to meet the national water quality standards, and in the process of being transported to users through the water supply network, complex physical and chemical changes and microbial reactions have occurred, resulting in varying degrees of deterioration of water quality. According to the survey results of letters from 45 cities in China, the total pass rate of water quality in my country's urban water supply pipe network is 83.4% lower than that of the factory water, of which the average turbidity is 0.36NTU higher than that of the factory water, the chroma is 0.42 degrees higher, and the iron concentrati...

Examples

Embodiment 1

[0061] Such as figure 1 As shown, a method for identifying hidden dangers of water quality in a multi-source water supply network includes the following steps:

[0062] S1: Conduct traceability analysis on the water source nodes, and obtain the traceability percentage matrix of the water consumption of each node from each water source;

[0063] S2: Determine the water supply range of each water source according to the traceability percentage matrix, and obtain the division of the water supply range;

[0064] S3: Perform water age simulation analysis to obtain the water age representative value of each node in each partition;

[0065] S4: According to the water age representative value of each node in each zone, identify water quality hidden danger points, and draw a chart of water quality hidden danger points.

[0066] In the above scheme, the method traces the source of the water supply network, and divides the water supply range of each water source by analyzing the tracea...

Embodiment 2

[0090] Such as figure 2 As shown, a system for identifying hidden dangers of water quality in a multi-source water supply network uses a method for identifying hidden dangers of water quality in a multi-source water supply network, including a traceability analysis module, a water supply zoning module, a water age calculation module, and identification of hidden dangers module; the output end of the traceability analysis module is electrically connected to the input end of the water supply partition module, the output end of the water supply partition module is electrically connected to the input end of the water age calculation module, and the output end of the water age calculation module is connected to the The input terminals of the hidden danger point identification module are electrically connected.

[0091] The traceability analysis module includes the following algorithms:

[0092] S11: Import the water supply network model to be analyzed into EPANET software, and ch...

Embodiment 3

[0110] Such as image 3 As shown, the specific implementation effect of the present invention is illustrated by taking the water supply network of Exeter City, England as an example. There are 1,837 water demand nodes, 2,507 pipe sections, and 7 water sources in the pipeline network. The total water supply is 281,300 tons / day. The default simulation duration of the pipeline network is 24 hours. The analysis of the hidden water quality points of the pipe network includes the following steps:

[0111] Step 1: First, import the water supply network model file of Exeter City into EPANET2.2 software, and change the node water demand simulation method to pressure-driven analysis. Secondly, set the type of water quality simulation to Trace, and set the total simulation time to 168 hours. Then, set the water source node numbered 3001 as the target node for tracking, and obtain the percentage of available water in each node in the pipe network from the water source 3001 when the wate...

technical field

[0001] The invention relates to the field of water supply pipe network systems, and more specifically, to a method and system for identifying water quality hidden danger points in a multi-water source water supply pipe network. Background technique

[0002] The water supply network is an important part of the water supply system. The raw water has been treated to meet the national water quality standards, and in the process of being transported to users through the water supply network, complex physical and chemical changes and microbial reactions have occurred, resulting in varying degrees of deterioration of water quality. According to the survey results of letters from 45 cities in China, the total pass rate of water quality in my country's urban water supply pipe network is 83.4% lower than that of the factory water, of which the average turbidity is 0.36NTU higher than that of the factory water, the chroma is 0.42 degrees higher, and the iron concentrati...

Examples

Embodiment 1

[0061] Such as figure 1 As shown, a method for identifying hidden dangers of water quality in a multi-source water supply network includes the following steps:

[0062] S1: Conduct traceability analysis on the water source nodes, and obtain the traceability percentage matrix of the water consumption of each node from each water source;

[0063] S2: Determine the water supply range of each water source according to the traceability percentage matrix, and obtain the division of the water supply range;

[0064] S3: Perform water age simulation analysis to obtain the water age representative value of each node in each partition;

[0065] S4: According to the water age representative value of each node in each zone, identify water quality hidden danger points, and draw a chart of water quality hidden danger points.

[0066] In the above scheme, the method traces the source of the water supply network, and divides the water supply range of each water source by analyzing the tracea...

Embodiment 2

[0090] Such as figure 2 As shown, a system for identifying hidden dangers of water quality in a multi-source water supply network uses a method for identifying hidden dangers of water quality in a multi-source water supply network, including a traceability analysis module, a water supply zoning module, a water age calculation module, and identification of hidden dangers module; the output end of the traceability analysis module is electrically connected to the input end of the water supply partition module, the output end of the water supply partition module is electrically connected to the input end of the water age calculation module, and the output end of the water age calculation module is connected to the The input terminals of the hidden danger point identification module are electrically connected.

[0091] The traceability analysis module includes the following algorithms:

[0092] S11: Import the water supply network model to be analyzed into EPANET software, and ch...

Embodiment 3

[0110] Such as image 3 As shown, the specific implementation effect of the present invention is illustrated by taking the water supply network of Exeter City, England as an example. There are 1,837 water demand nodes, 2,507 pipe sections, and 7 water sources in the pipeline network. The total water supply is 281,300 tons / day. The default simulation duration of the pipeline network is 24 hours. The analysis of the hidden water quality points of the pipe network includes the following steps:

[0111] Step 1: First, import the water supply network model file of Exeter City into EPANET2.2 software, and change the node water demand simulation method to pressure-driven analysis. Secondly, set the type of water quality simulation to Trace, and set the total simulation time to 168 hours. Then, set the water source node numbered 3001 as the target node for tracking, and obtain the percentage of available water in each node in the pipe network from the water source 3001 when the wate...

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