An online detection system for mobile temporary water quality monitoring in water supply networks

By designing an online inspection system for mobile temporary water quality monitoring in the water supply pipeline network, the problems of long monitoring cycle, slow data feedback and uneven hydraulic power affecting monitoring accuracy in traditional water quality monitoring methods are solved, real-time monitoring and intelligent regulation of water quality in the water supply pipeline network are achieved, and the accuracy of water quality judgment and the safety of water supply water quality are improved.

CN119090359BActive Publication Date: 2025-04-29SHANGHAI YUNHAN SCI & TECH CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202411572373.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-06
Publication Date
2025-04-29
Estimated Expiration
2044-11-06

AI Technical Summary

Technical Problem

Traditional water quality monitoring methods have problems such as long monitoring cycle, slow data feedback, and waste of human resources, which is difficult to meet the real-time monitoring needs of water quality safety, and hydraulic inequality affects the accuracy of monitoring results.

Method used

An online detection system for mobile temporary water quality monitoring of water supply networks is designed, including a water supply network area division module, data acquisition module, hydraulic monitoring and intelligent regulation module, water quality judgment model establishment module, water quality stability analysis module, abnormal result warning output module and human-computer interaction module. Through the coordinated work of these modules, real-time monitoring and intelligent regulation of water quality in the water supply network are realized.

Benefits of technology

The system can monitor and analyze the water quality of the water supply network in real time, reduce the interference of hydraulic inequality on water quality judgment, improve the accuracy of water quality judgment, and ensure the safety and stability of water quality.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119090359B_ABST
    Figure CN119090359B_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of online detection. The invention discloses an online detection system for mobile temporary water quality monitoring of a water supply network. The system comprises: a water supply network area division module, a water supply network data acquisition module, a regional hydraulic monitoring distinction module, a regional hydraulic intelligent control module, a water quality judgment model establishment module, a water quality stability analysis module, an abnormal result early warning output module and a human-computer interaction module. A data acquisition point is set at the end of the network, a regional hydraulic index before regulation is calculated, an area beyond a preset range is divided into a high hydraulic area and a low hydraulic area, a regional hydraulic index after intelligent regulation is obtained, whether the water quality of the area is normal is judged based on a water quality health coefficient, and a water quality stability analysis is performed on a normal water quality area according to the hydraulic index before regulation and the hydraulic index after regulation, a real-time early warning is issued to an abnormal area, the interference of hydraulic unevenness on water quality judgment is reduced, and the accuracy of water quality judgment is improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of online detection, and more specifically to an online detection system for mobile temporary water quality monitoring of a water supply network. Background Art

[0002] With the acceleration of urbanization and the continuous growth of population, the safety and stability of the water supply system has become an important guarantee for urban development. However, traditional water quality monitoring methods often have problems such as long monitoring cycle, slow data feedback, and waste of human resources. It is difficult to meet the real-time monitoring needs of water quality safety. Therefore, the development of a system that can realize online monitoring of mobile temporary water quality of water supply pipelines has become an important means to ensure the safety of water quality.

[0003] With the continuous development of modern information technology, sensor technology, automatic control technology and data analysis and processing technology, the technical level and performance of online water quality monitoring systems have also been continuously improved. The integrated application of multiple technologies enables the online detection system to realize real-time monitoring, data transmission, processing and analysis of water quality parameters, providing strong technical support for the safe monitoring of water supply quality.

[0004] However, during the water quality monitoring process, uneven hydraulic pressure will cause the water samples collected by the online monitoring system at different locations to have different water quality characteristics, thus affecting the accuracy of the monitoring results and making it difficult for the data of the online monitoring system to stably reflect the actual water quality conditions, resulting in deviations in the judgment of the water quality conditions, thus affecting water supply safety. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides an online detection system for mobile temporary water quality monitoring of a water supply network to solve the problems existing in the above-mentioned background technology.

[0006] The present invention provides the following technical solution: an online detection system for mobile temporary water quality monitoring of a water supply network, comprising: a water supply network area division module, a water supply network data acquisition module, a regional hydraulic monitoring distinction module, a regional hydraulic intelligent control module, a water quality judgment model establishment module, a water quality stability analysis module, an abnormal result warning output module, and a human-computer interaction module;

[0007] The water supply network area division module divides the water supply network area into n monitoring sub-areas, and sets a data collection point at the end of the network in each monitoring sub-area, i=1, 2, 3, ..., n, where i represents the monitoring sub-area number;

[0008] The water supply network data acquisition module includes a hydraulic data acquisition unit and a water quality data acquisition unit, which performs hydraulic and water quality monitoring of each monitoring sub-area through a mobile monitoring device, and transmits real-time monitoring data to a regional hydraulic monitoring distinction module and a water quality judgment model establishment module;

[0009] The regional hydraulic monitoring and differentiation module establishes a hydraulic judgment model based on the hydraulic data monitored in real time by the hydraulic data acquisition unit to calculate the hydraulic index of each monitoring sub-region before regulation, and divides the monitoring sub-regions that exceed the preset range into high hydraulic regions and low hydraulic regions;

[0010] The regional hydraulic intelligent control module performs intelligent control on each monitoring sub-area based on the high hydraulic area and low hydraulic area divided by the regional hydraulic monitoring differentiation module, and calculates the hydraulic index of each monitoring sub-area after control;

[0011] The water quality judgment model establishment module establishes a water quality judgment model based on the water quality data monitored in real time by the water quality data acquisition unit to calculate the water quality health coefficient of each monitoring sub-area, and judges whether the water quality of each monitoring sub-area is normal;

[0012] The water quality stability analysis module performs water quality stability analysis on the normal water quality area based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area;

[0013] The abnormal result warning output module sends warning information to the human-computer interaction module based on the monitoring sub-area judged to be abnormal in the water quality judgment model establishment module;

[0014] The human-computer interaction module generates a regional report based on the analysis of water quality stability and the received warning information, and performs abnormal processing on the warning area.

[0015] Preferably, in the water supply network area division module, the water supply network area is divided into sub-areas through the GIS geographical system, and the water flow of each monitored sub-area is controlled by a pipeline valve.

[0016] Preferably, in the water supply network data acquisition module, the specific contents of hydraulic and water quality monitoring of each monitoring sub-area by means of a movable monitoring device are as follows:

[0017] The hydraulic data acquisition unit collects hydraulic data from the data acquisition points set at the end of each monitoring sub-area network through a mobile monitoring device. The hydraulic data includes: the pipeline pressure value before and after the regulation of each monitoring sub-area, the pipeline diameter of each monitoring sub-area, the fluid density, the flow loss before and after the regulation of each monitoring sub-area, and the fluid viscosity coefficient before and after the regulation of each monitoring sub-area;

[0018] The water quality data collection unit collects water quality data from the data collection points set at the end of each monitoring sub-area network through mobile monitoring equipment. The water quality data includes: types of water quality health impact indicators and actual measured concentrations of different water quality health impact indicators in each monitoring sub-area.

[0019] Preferably, in the regional hydraulic monitoring differentiation module, the specific contents of establishing a hydraulic judgment model to calculate the hydraulic index of each monitoring sub-region before regulation based on the hydraulic data monitored in real time by the hydraulic data acquisition unit are as follows:

[0020] Step S01: Calculate the pipeline flow rate of each monitoring sub-area before regulation, and the calculation formula is: ,in Indicates the pipeline flow rate before regulation in each monitoring sub-area, in units of , Indicates the diameter of the pipeline in each monitoring sub-area, in meters. Indicates the flow rate of each monitoring sub-area in m / s. Indicates the pipeline pressure value before regulation in each monitoring sub-area, in units of , Represents the fluid density in units of ;

[0021] Step S02: Calculate the specific resistivity of each monitoring sub-area before regulation, and the calculation formula is: ,in represents the resistivity of each monitoring sub-area, represents the fluid viscosity coefficient before regulation;

[0022] Step S03: Based on step S01 and step S02, the flow correction coefficient of each monitoring sub-area before regulation is calculated, and the calculation formula is: ,in It represents the flow correction coefficient before regulation of each monitoring sub-area, represents the flow loss before regulation in each monitoring sub-area, represents the flow index;

[0023] Step S04: Calculate the hydraulic index of each monitoring sub-area before regulation, and the calculation formula is: ,in represents the hydraulic index of each monitoring sub-area before regulation, Indicates the preset pipeline flow standard value of each monitoring sub-area, in units of ;

[0024] Step S05: Adjust the hydraulic index of each monitoring sub-area before regulation Compare with the preset hydraulic judgment range, if the hydraulic index before adjustment No adjustment is required within the preset hydraulic judgment range; if the hydraulic index before adjustment If the maximum value is greater than the preset hydraulic judgment range, it is a high hydraulic area. A value that is less than the minimum value of the preset hydraulic judgment range is a low hydraulic area.

[0025] Preferably, in the regional hydraulic intelligent control module, the water flow in the high hydraulic area and the low hydraulic area is intelligently controlled through pipeline valves, and the calculation formula of the hydraulic index of each monitoring sub-area after control is: ,in It represents the hydraulic index of each monitoring sub-area after regulation. It represents the pipeline flow after regulation in each monitoring sub-area. It represents the flow correction coefficient after regulation of each monitoring sub-area, Indicates the preset pipeline flow standard value of each monitoring sub-area. After adjustment, the hydraulic index Within the preset hydraulic judgment range, intelligent regulation of high hydraulic areas and low hydraulic areas is completed.

[0026] Preferably, in the water quality judgment model establishment module, the specific contents of establishing a water quality judgment model based on the water quality data monitored in real time by the water quality data acquisition unit to calculate the water quality health coefficient of each monitoring sub-area and judging whether the water quality of each monitoring sub-area is normal are as follows:

[0027] Step S01: Select m water quality health impact indicators of the water quality judgment model, where the water quality health impact indicators represent the types of pollutants, j=1, 2, 3, ..., m, where j represents the sub-indicator number;

[0028] Step S02: Calculate the discrimination coefficient of different water quality health impact indicators in each monitoring sub-area, and the calculation formula is: ,in It represents the discrimination coefficient of different water quality health impact indicators in each monitoring sub-area, It represents the actual measured concentration of different water quality health impact indicators in each monitoring sub-area, in units of , Indicates the standard concentration of different water quality health impact indicators in each monitoring sub-area, Indicates the pipeline pressure value after regulation in each monitoring sub-area And the pipeline pressure value before regulation The difference between the preset adjustment coefficients;

[0029] Step S03: Establish a water quality judgment model to calculate the water quality health coefficient of each monitoring sub-area. The calculation formula is: ,in represents the water quality health coefficient of each monitoring sub-area, Indicates the weight values ​​of different indicators in each monitoring sub-area;

[0030] Step S04: Compare the water quality health coefficient of each monitoring sub-area with the preset water quality health threshold. If the water quality health coefficient is greater than or equal to the preset water quality health threshold, the water quality is considered normal. If the water quality is less than the preset water quality health threshold, the water quality is judged to be abnormal.

[0031] Preferably, in the water quality stability analysis module, based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area, the specific contents of the water quality stability analysis for the normal water quality area are as follows:

[0032] Step S01: A water quality stability judgment model is established based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area, and a comprehensive water quality stability index of the normal water quality area is obtained. The calculation formula is: ,in represents the comprehensive index of water quality stability in each monitoring sub-area, and e represents a constant;

[0033] Step S02: Compare the water quality stability comprehensive index of the normal water quality area with the preset threshold range. Within the preset threshold range, the water quality is considered stable. If the water quality stability comprehensive index If it is not within the preset threshold range, the water quality is judged to be unstable and an early warning message is sent to the abnormal result early warning output module.

[0034] Preferably, the abnormal result warning output module receives the monitoring sub-area information judged to be abnormal in the water quality judgment model establishment module, sends the first warning information to the human-computer interaction module, receives the monitoring sub-area information judged to be unstable in the water quality stability analysis module, and sends the second warning information to the human-computer interaction module.

[0035] Preferably, the human-computer interaction module receives the first warning information and the second warning information transmitted by the abnormal result warning output module, and arranges staff to process the warning information.

[0036] Technical effects and advantages of the present invention:

[0037] The present invention is provided with a water supply network area division module, a water supply network data acquisition module, a regional hydraulic monitoring and differentiation module, a regional hydraulic intelligent control module, a water quality judgment model establishment module, a water quality stability analysis module, an abnormal result early warning output module and a human-computer interaction module. A data collection point is set at the end of the network, the regional hydraulic index before regulation is calculated, the area beyond the preset range is divided into a high hydraulic area and a low hydraulic area, and the regional hydraulic index after intelligent regulation is obtained. Whether the water quality of the area is normal is judged based on the water quality health coefficient, and water quality stability analysis is performed on the normal water quality area according to the hydraulic index before regulation and the hydraulic index after regulation. Real-time early warning is given to abnormal areas, the interference of hydraulic unevenness on water quality judgment is reduced, and the accuracy of water quality judgment is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 The present invention is a flow chart of an online detection system for mobile temporary water quality monitoring of a water supply network. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The online detection system for mobile temporary water quality monitoring of a water supply network involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0040] like Figure 1 As shown, the present invention provides an online detection system for mobile temporary water quality monitoring of a water supply network, comprising: a water supply network area division module, a water supply network data acquisition module, a regional hydraulic monitoring distinction module, a regional hydraulic intelligent control module, a water quality judgment model establishment module, a water quality stability analysis module, an abnormal result warning output module, and a human-computer interaction module;

[0041] The water supply network area division module divides the water supply network area into n monitoring sub-areas, and sets a data collection point at the end of the network in each monitoring sub-area, i=1, 2, 3, ..., n, where i represents the monitoring sub-area number;

[0042] The water supply network data acquisition module includes a hydraulic data acquisition unit and a water quality data acquisition unit, which performs hydraulic and water quality monitoring of each monitoring sub-area through a mobile monitoring device, and transmits real-time monitoring data to a regional hydraulic monitoring distinction module and a water quality judgment model establishment module;

[0043] The regional hydraulic monitoring and differentiation module establishes a hydraulic judgment model based on the hydraulic data monitored in real time by the hydraulic data acquisition unit to calculate the hydraulic index of each monitoring sub-region before regulation, and divides the monitoring sub-regions that exceed the preset range into high hydraulic regions and low hydraulic regions;

[0044] The regional hydraulic intelligent control module performs intelligent control on each monitoring sub-area based on the high hydraulic area and low hydraulic area divided by the regional hydraulic monitoring differentiation module, and calculates the hydraulic index of each monitoring sub-area after control;

[0045] The water quality judgment model establishment module establishes a water quality judgment model based on the water quality data monitored in real time by the water quality data acquisition unit to calculate the water quality health coefficient of each monitoring sub-area, and judges whether the water quality of each monitoring sub-area is normal;

[0046] The water quality stability analysis module performs water quality stability analysis on the normal water quality area based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area;

[0047] The abnormal result warning output module sends warning information to the human-computer interaction module based on the monitoring sub-area judged to be abnormal in the water quality judgment model establishment module;

[0048] The human-computer interaction module generates a regional report based on the analysis of water quality stability and the received warning information, and performs abnormal processing on the warning area.

[0049] In this embodiment, it should be specifically explained that in the water supply network area division module, the water supply network area is divided into sub-areas through the GIS geographical system, and the water flow of each monitored sub-area is controlled by a pipeline valve.

[0050] In this embodiment, it should be specifically explained that in the water supply network data acquisition module, the specific contents of the hydraulic and water quality monitoring of each monitoring sub-area by the mobile monitoring device are as follows:

[0051] The hydraulic data acquisition unit collects hydraulic data from the data acquisition points set at the end of each monitoring sub-area network through a mobile monitoring device. The hydraulic data includes: the pipeline pressure value before and after the regulation of each monitoring sub-area, the pipeline diameter of each monitoring sub-area, the fluid density, the flow loss before and after the regulation of each monitoring sub-area, and the fluid viscosity coefficient before and after the regulation of each monitoring sub-area;

[0052] The water quality data collection unit collects water quality data from the data collection points set at the end of each monitoring sub-area network through mobile monitoring equipment. The water quality data includes: types of water quality health impact indicators and actual measured concentrations of different water quality health impact indicators in each monitoring sub-area.

[0053] In this embodiment, it should be specifically explained that in the regional hydraulic monitoring differentiation module, the specific contents of establishing a hydraulic judgment model based on the hydraulic data monitored in real time by the hydraulic data acquisition unit to calculate the hydraulic index of each monitoring sub-region before regulation are as follows:

[0054] Step S01: Calculate the pipeline flow rate of each monitoring sub-area before regulation, and the calculation formula is: ,in Indicates the pipeline flow rate before regulation in each monitoring sub-area, in units of , Indicates the diameter of the pipeline in each monitoring sub-area, in meters. Indicates the flow rate of each monitoring sub-area in m / s. Indicates the pipeline pressure value before regulation in each monitoring sub-area, in units of , Represents the fluid density in units of ,In fluid physics, the ratio of pipe pressure to fluid density represents a measurement value and does not have physical units;

[0055] Step S02: Calculate the specific resistivity of each monitoring sub-area before regulation, and the calculation formula is: ,in represents the resistivity of each monitoring sub-area, represents the fluid viscosity coefficient before regulation;

[0056] Step S03: Based on step S01 and step S02, the flow correction coefficient of each monitoring sub-area before regulation is calculated, and the calculation formula is: ,in It represents the flow correction coefficient before regulation of each monitoring sub-area, represents the flow loss before regulation in each monitoring sub-area, represents the flow index;

[0057] Step S04: Calculate the hydraulic index of each monitoring sub-area before regulation, and the calculation formula is: ,in represents the hydraulic index of each monitoring sub-area before regulation, Indicates the preset pipeline flow standard value of each monitoring sub-area, in units of ;

[0058] Step S05: Adjust the hydraulic index of each monitoring sub-area before regulation Compare with the preset hydraulic judgment range, if the hydraulic index before adjustment No adjustment is required within the preset hydraulic judgment range; if the hydraulic index before adjustment If the maximum value is greater than the preset hydraulic judgment range, it is a high hydraulic area. A value that is less than the minimum value of the preset hydraulic judgment range is a low hydraulic area.

[0059] In this embodiment, it should be specifically explained that in the regional hydraulic intelligent control module, the water flow in the high hydraulic area and the low hydraulic area is intelligently controlled through the pipeline valve, and the specific content of the hydraulic index after the control of each monitoring sub-area is as follows:

[0060] Step S01: Calculate the pipeline flow rate after regulation in each monitoring sub-area, and the calculation formula is: ,in It indicates the pipeline flow rate after regulation in each monitoring sub-area, in units of , Indicates the diameter of the pipeline in each monitoring sub-area, in meters. Indicates the flow rate of each monitoring sub-area in m / s. Indicates the pipeline pressure value after regulation in each monitoring sub-area, in units of , Represents the fluid density in units of ,In fluid physics, the ratio of pipe pressure to fluid density represents a measurement value and does not have physical units;

[0061] Step S02: Calculate the resistivity of each monitoring sub-area after adjustment, and the calculation formula is: ,in represents the resistivity of each monitoring sub-area, represents the viscosity coefficient of the fluid after regulation;

[0062] Step S03: Based on step S01 and step S02, the flow correction coefficient of each monitoring sub-area after regulation is calculated, and the calculation formula is: ,in It represents the flow correction coefficient after regulation of each monitoring sub-area, It represents the flow loss after regulation in each monitoring sub-area. represents the flow index;

[0063] Step S04: Calculate the hydraulic index of each monitoring sub-area after regulation, and the calculation formula is: ,in It represents the hydraulic index of each monitoring sub-area after regulation. Indicates the preset pipeline flow standard value for each monitoring sub-area.

[0064] In this embodiment, it should be specifically explained that in the water quality judgment model establishment module, the water quality judgment model is established based on the water quality data monitored in real time by the water quality data acquisition unit to calculate the water quality health coefficient of each monitoring sub-area, and the specific contents of judging whether the water quality of each monitoring sub-area is normal are as follows:

[0065] Step S01: Select m water quality health impact indicators of the water quality judgment model, where the water quality health impact indicators represent the types of pollutants, j=1, 2, 3, ..., m, where j represents the sub-indicator number;

[0066] Step S02: Calculate the discrimination coefficient of different water quality health impact indicators in each monitoring sub-area, and the calculation formula is: ,in It represents the discrimination coefficient of different water quality health impact indicators in each monitoring sub-area, It represents the actual measured concentration of different water quality health impact indicators in each monitoring sub-area, in units of , Indicates the standard concentration of different water quality health impact indicators in each monitoring sub-area, Indicates the pipeline pressure value after regulation in each monitoring sub-area And the pipeline pressure value before regulation The difference between the preset adjustment coefficients;

[0067] Step S03: Establish a water quality judgment model to calculate the water quality health coefficient of each monitoring sub-area. The calculation formula is: ,in represents the water quality health coefficient of each monitoring sub-area, Indicates the weight values ​​of different indicators in each monitoring sub-area;

[0068] Step S04: Compare the water quality health coefficient of each monitoring sub-area with the preset water quality health threshold. If the water quality health coefficient is greater than or equal to the preset water quality health threshold, the water quality is considered normal. If the water quality is less than the preset water quality health threshold, the water quality is judged to be abnormal.

[0069] In this embodiment, it should be specifically explained that in the water quality stability analysis module, based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area, the specific content of the water quality stability analysis of the normal water quality area is as follows:

[0070] Step S01: A water quality stability judgment model is established based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area, and a comprehensive water quality stability index of the normal water quality area is obtained. The calculation formula is: ,in represents the comprehensive index of water quality stability in each monitoring sub-area, and e represents a constant;

[0071] Step S02: Compare the water quality stability comprehensive index of the normal water quality area with the preset threshold range. Within the preset threshold range, the water quality is considered stable. If the water quality stability comprehensive index If it is not within the preset threshold range, the water quality is judged to be unstable and an early warning message is sent to the abnormal result early warning output module.

[0072] In this embodiment, it should be specifically explained that the abnormal result warning output module receives the monitoring sub-area information judged to be abnormal in the water quality judgment model establishment module, sends the first warning information to the human-computer interaction module, receives the monitoring sub-area information judged to be unstable in the water quality stability analysis module, and sends the second warning information to the human-computer interaction module.

[0073] In this embodiment, it should be specifically explained that the human-computer interaction module receives the first warning information and the second warning information transmitted by the abnormal result warning output module, and arranges staff to process the warning information.

[0074] In the present embodiment, it should be specifically explained that the difference between the present embodiment and the prior art lies mainly in that the present embodiment is provided with a water supply network area division module, a water supply network data acquisition module, a regional hydraulic monitoring distinction module, a regional hydraulic intelligent control module, a water quality judgment model establishment module, a water quality stability analysis module, an abnormal result warning output module and a human-computer interaction module, and sets a data collection point at the end of the network to calculate the regional hydraulic index before regulation, divide the area beyond the preset range into high hydraulic area and low hydraulic area, and obtain the regional hydraulic index after intelligent regulation. Based on the water quality health coefficient, it is judged whether the water quality of the area is normal, and the water quality stability analysis of the normal water quality area is carried out according to the hydraulic index before regulation and the hydraulic index after regulation, and the abnormal area is warned in real time, so as to reduce the interference of hydraulic unevenness on water quality judgment, so that the online monitoring system can stably reflect the actual water quality conditions and improve the accuracy of water quality judgment.

[0075] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0076] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An online detection system for temporary mobile water quality monitoring of a water supply network, characterized in that: include: Water supply network regional division module, water supply network data acquisition module, regional hydraulic monitoring and differentiation module, regional hydraulic intelligent control module, water quality judgment model establishment module, water quality stability analysis module, abnormal result warning output module and human-computer interaction module; The water supply network area division module divides the water supply network area into n monitoring sub-areas, and sets a data collection point at the end of the network in each monitoring sub-area, i=1, 2, 3, ..., n, where i represents the monitoring sub-area number; The water supply network data acquisition module includes a hydraulic data acquisition unit and a water quality data acquisition unit, which performs hydraulic and water quality monitoring of each monitoring sub-area through a mobile monitoring device, and transmits real-time monitoring data to a regional hydraulic monitoring distinction module and a water quality judgment model establishment module; The regional hydraulic monitoring and differentiation module establishes a hydraulic judgment model based on the hydraulic data monitored in real time by the hydraulic data acquisition unit to calculate the hydraulic index of each monitoring sub-region before regulation, and divides the monitoring sub-regions that exceed the preset range into high hydraulic regions and low hydraulic regions; In the regional hydraulic monitoring and differentiation module, the specific contents of establishing a hydraulic judgment model based on the hydraulic data monitored in real time by the hydraulic data acquisition unit to calculate the hydraulic index of each monitoring sub-region before regulation are as follows: Step S01: Calculate the pipeline flow rate of each monitoring sub-area before regulation, and the calculation formula is: ,in Indicates the pipeline flow rate before regulation in each monitoring sub-area, in units of , Indicates the diameter of the pipeline in each monitoring sub-area, in meters. Indicates the flow rate of each monitoring sub-area in m / s. Indicates the pipeline pressure value before regulation in each monitoring sub-area, in units of , Represents the fluid density in units of ; Step S02: Calculate the specific resistivity of each monitoring sub-area before regulation, and the calculation formula is: ,in represents the resistivity of each monitoring sub-area, represents the fluid viscosity coefficient before regulation; Step S03: Based on step S01 and step S02, the flow correction coefficient of each monitoring sub-area before regulation is calculated, and the calculation formula is: ,in It represents the flow correction coefficient before regulation of each monitoring sub-area, represents the flow loss before regulation in each monitoring sub-area, represents the flow index; Step S04: Calculate the hydraulic index of each monitoring sub-area before regulation, and the calculation formula is: ,in represents the hydraulic index of each monitoring sub-area before regulation, Indicates the preset pipeline flow standard value of each monitoring sub-area, in units of ; Step S05: Adjust the hydraulic index of each monitoring sub-area before regulation Compare with the preset hydraulic judgment range, if the hydraulic index before adjustment No adjustment is required within the preset hydraulic judgment range; if the hydraulic index before adjustment If the maximum value is greater than the preset hydraulic judgment range, it is a high hydraulic area. If the value is less than the minimum value of the preset hydraulic judgment range, it is a low hydraulic area; The regional hydraulic intelligent control module performs intelligent control on each monitoring sub-area based on the high hydraulic area and low hydraulic area divided by the regional hydraulic monitoring differentiation module, and calculates the hydraulic index of each monitoring sub-area after control; In the regional hydraulic intelligent control module, the water flow in the high hydraulic area and the low hydraulic area is intelligently controlled through the pipeline valve. The calculation formula of the hydraulic index after control of each monitoring sub-area is: ,in It represents the hydraulic index of each monitoring sub-area after regulation. It represents the pipeline flow after regulation in each monitoring sub-area. It represents the flow correction coefficient after regulation of each monitoring sub-area, Indicates the preset pipeline flow standard value of each monitoring sub-area. After adjustment, the hydraulic index When within the preset hydraulic judgment range, complete intelligent regulation of high hydraulic areas and low hydraulic areas; The water quality judgment model establishment module establishes a water quality judgment model based on the water quality data monitored in real time by the water quality data acquisition unit to calculate the water quality health coefficient of each monitoring sub-area, and judges whether the water quality of each monitoring sub-area is normal; In the water quality judgment model establishment module, the specific contents of establishing a water quality judgment model based on the water quality data monitored in real time by the water quality data acquisition unit to calculate the water quality health coefficient of each monitoring sub-area and judge whether the water quality of each monitoring sub-area is normal are as follows: Step S01: Select m water quality health impact indicators of the water quality judgment model, where the water quality health impact indicators represent the types of pollutants, j=1, 2, 3, ..., m, where j represents the sub-indicator number; Step S02: Calculate the discrimination coefficient of different water quality health impact indicators in each monitoring sub-area, and the calculation formula is: ,in It represents the discrimination coefficient of different water quality health impact indicators in each monitoring sub-area, It represents the actual measured concentration of different water quality health impact indicators in each monitoring sub-area, in units of , Indicates the standard concentration of different water quality health impact indicators in each monitoring sub-area, Indicates the pipeline pressure value after regulation in each monitoring sub-area And the pipeline pressure value before regulation The difference between the preset adjustment coefficients; Step S03: Establish a water quality judgment model to calculate the water quality health coefficient of each monitoring sub-area. The calculation formula is: ,in represents the water quality health coefficient of each monitoring sub-area, Indicates the weight values ​​of different indicators in each monitoring sub-area; Step S04: Compare the water quality health coefficient of each monitoring sub-area with the preset water quality health threshold. If the water quality health coefficient is greater than or equal to the preset water quality health threshold, the water quality is considered normal. If it is less than the preset water quality health threshold, the water quality is judged to be abnormal; The water quality stability analysis module performs water quality stability analysis on the normal water quality area based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area; The abnormal result warning output module sends warning information to the human-computer interaction module based on the monitoring sub-area judged to be abnormal in the water quality judgment model establishment module; The human-computer interaction module generates a regional report based on the analysis of water quality stability and the received warning information, and performs abnormal processing on the warning area.

2. The online detection system for mobile temporary water quality monitoring of a water supply network according to claim 1 is characterized in that: In the water supply network area division module, the water supply network area is divided into sub-areas through the GIS geographical system, and the water flow of each monitored sub-area is controlled by a pipeline valve.

3. The online detection system for mobile temporary water quality monitoring of a water supply network according to claim 1 is characterized in that: In the water supply network data acquisition module, the specific contents of hydraulic and water quality monitoring of each monitoring sub-area by mobile monitoring equipment are as follows: The hydraulic data acquisition unit collects hydraulic data from the data acquisition points set at the end of each monitoring sub-area network through a mobile monitoring device. The hydraulic data includes: the pipeline pressure value before and after the regulation of each monitoring sub-area, the pipeline diameter of each monitoring sub-area, the fluid density, the flow loss before and after the regulation of each monitoring sub-area, and the fluid viscosity coefficient before and after the regulation of each monitoring sub-area; The water quality data collection unit collects water quality data from the data collection points set at the end of each monitoring sub-area network through mobile monitoring equipment. The water quality data includes: types of water quality health impact indicators and actual measured concentrations of different water quality health impact indicators in each monitoring sub-area.

4. The online detection system for mobile temporary water quality monitoring of a water supply network according to claim 1, characterized in that: In the water quality stability analysis module, based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area, the specific contents of the water quality stability analysis for the normal water quality area are as follows: Step S01: A water quality stability judgment model is established based on the hydraulic index before regulation, the hydraulic index after regulation and the water quality health coefficient of each monitoring sub-area, and a comprehensive water quality stability index of the normal water quality area is obtained. The calculation formula is: ,in represents the comprehensive index of water quality stability in each monitoring sub-area, and e represents a constant; Step S02: Compare the water quality stability comprehensive index of the normal water quality area with the preset threshold range. Within the preset threshold range, the water quality is judged to be stable. If the water quality stability comprehensive index If it is not within the preset threshold range, the water quality is judged to be unstable and an early warning message is sent to the abnormal result early warning output module.

5. The online detection system for mobile temporary water quality monitoring of a water supply network according to claim 1 is characterized in that: The abnormal result warning output module receives the monitoring sub-area information judged to be abnormal in the water quality judgment model establishment module, sends the first warning information to the human-computer interaction module, receives the monitoring sub-area information judged to be unstable in the water quality stability analysis module, and sends the second warning information to the human-computer interaction module.

6. The online detection system for mobile temporary water quality monitoring of a water supply network according to claim 1, characterized in that: The human-computer interaction module receives the first warning information and the second warning information transmitted by the abnormal result warning output module, and arranges staff to process the warning information.

Citation Information

Patent Citations

  • Seabed tail water pumping type hydraulic generation system

    CN101413476A

  • Water supply pipe network leakage management system and establishment method and system application thereof

    CN107767012A