Dynamic monitoring and evaluation method for digital twin water affairs based on big data

Abstract

The invention discloses a digital twin water affair dynamic monitoring and evaluation method based on big data, and relates to the technical field of electronic digital data processing. Firstly, pipeline information of each water affair dynamic monitoring sub-area is analyzed, the operation condition of the pipeline can be recognized in time, then water quality parameters of each pipeline normal water affair dynamic monitoring sub-area are analyzed, water quality abnormity can be found in time, and corresponding measures are taken to guarantee water supply safety. And finally, analyzing to obtain a water affair dynamic comprehensive evaluation value of the normal water affair dynamic monitoring sub-region of each pipeline, which can reflect the water supply capacity and the water demand of each monitoring sub-region, thereby realizing reasonable utilization of water resources. Meanwhile, the water resources are scheduled and adjusted according to the water affair dynamic comprehensive evaluation values of the normal water affair dynamic monitoring sub-areas of all the pipelines, the water supply strategy can be rapidly adjusted, and the stability and reliability of water supply are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a big data digital twin water affairs dynamic monitoring and evaluation method. Background Art

[0002] In the field of water affairs dynamic monitoring technology, data analysis technology can be used to monitor and process water affairs dynamic data, so as to adjust the scheduling of water resources in a timely manner. The loss of water resources caused by pipeline aging and leakage will cause unnecessary waste, which may lead to distortion of real-time data and affect the scheduling and allocation of water resources.

[0003] Prior art, such as the invention patent announcement with announcement number: CN117610322B, discloses a smart water affairs dynamic monitoring system and monitoring method based on digital twins, which relates to the field of smart water affairs technology. In order to solve the problem that in the prior art, the water affairs system in the real scene is only virtually displayed through digital twin technology, and it is impossible to make predictions based on real-time changing data, and it is impossible to reasonably allocate water resources according to the actual environmental status of the water affairs system and the prediction results, resulting in the ineffective use of water resources; the smart water affairs dynamic monitoring system based on digital twins includes a digital twin model construction unit, a smart water affairs dynamic monitoring unit, an operation status analysis and prediction unit, and a water resources management optimization unit.

[0004] Prior art, such as a patent application with publication number: CN118568973A, discloses a water resource management method and system for smart water services based on digital twins, including: classifying and processing water resource data under smart water services to obtain classified data to simulate virtual application scenarios of smart water services, analyzing the simulation effects of virtual application scenarios to build a multi-regional network under smart water services, creating an information sharing interface for the multi-regional network based on the classified data, and configuring a regional static perception network and a regional dynamic monitoring network under smart water services to monitor water resource change data of the virtual application scenarios in real time; analyzing water resource abnormality factors of the virtual application scenarios based on the water resource change data to create a virtual management plan under the virtual application scenario; when the feasibility of the virtual management plan is greater than the preset feasibility, using the virtual management plan as the final management plan for smart water services.

[0005] Combined with the above scheme, it is found that in the current field of water dynamic monitoring technology, usually only water level, flow and resource data are analyzed, and it is impossible to analyze the changes in water resources caused by other factors, which may lead to inaccurate analysis results. At the same time, it is impossible to improve the accuracy of water resource scheduling, which may lead to uneven distribution of water resources and waste of water resources. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a big data digital twin water affairs dynamic monitoring and evaluation method, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a big data digital twin water affairs dynamic monitoring and evaluation method, including dividing the water affairs dynamic monitoring area into various water affairs dynamic monitoring sub-areas, and collecting pipeline information, water quality parameters and water demand data of each water affairs dynamic monitoring sub-area.

[0008] The pipeline information of each water affairs dynamic monitoring sub-area is analyzed to obtain the pipeline status analysis index value of each water affairs dynamic monitoring sub-area, and then the pipeline status analysis results of each water affairs dynamic monitoring sub-area are analyzed to obtain the normal water affairs dynamic monitoring sub-area of ​​each pipeline, and the pipeline status analysis results of each water affairs dynamic monitoring sub-area are combined to make prompt adjustments.

[0009] The water quality parameters of the normal water affairs dynamic monitoring sub-areas of each pipeline are analyzed to obtain the water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline.

[0010] According to the pipeline status analysis index values ​​and water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, combined with the water demand data of the normal water affairs dynamic monitoring sub-areas of each pipeline, a comprehensive analysis is conducted to obtain the water affairs dynamic comprehensive assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, and water resources are dispatched and adjusted according to the water affairs dynamic comprehensive assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline.

[0011] Furthermore, the pipeline status analysis index value of each water affairs dynamic monitoring sub-area is obtained, and the specific process is: extracting the pipeline information of each water affairs dynamic monitoring sub-area within each supervision cycle, including the number of pipeline abnormalities in each water affairs dynamic monitoring sub-area, the maximum pressure of the water flow in each pipeline, and the average flow rate of the water flow in each pipeline.

[0012] A comprehensive analysis is conducted on the number of pipeline anomalies, the maximum pressure of water flow in each pipeline, and the average flow rate of water flow in each pipeline in each water affairs dynamic monitoring sub-area during each supervision period to obtain the pipeline status analysis index value of each water affairs dynamic monitoring sub-area.

[0013] Furthermore, the pipeline status analysis results of each water affairs dynamic monitoring sub-area include normal pipeline and abnormal pipeline.

[0014] Furthermore, the analysis obtains the pipeline status analysis results of each water affairs dynamic monitoring sub-area. The specific process is: comparing the pipeline status analysis index value of each water affairs dynamic monitoring sub-area with the set pipeline status analysis index threshold. If the pipeline status analysis index value of a water affairs dynamic monitoring sub-area is higher than the set pipeline status analysis index threshold, the pipeline status analysis result of the water affairs dynamic monitoring sub-area is marked as a normal pipeline. If the pipeline status analysis index value of a water affairs dynamic monitoring sub-area is lower than or equal to the set pipeline status analysis index threshold, the pipeline status analysis result of the water affairs dynamic monitoring sub-area is marked as an abnormal pipeline. Thus, the pipeline status analysis results of each water affairs dynamic monitoring sub-area are obtained, and the pipeline status analysis results are displayed on the digital twin water affairs dynamic monitoring visualization screen.

[0015] Furthermore, the normal water affairs dynamic monitoring sub-areas of each pipeline are screened out, and the specific process is: extract the pipeline status analysis result of each water affairs dynamic monitoring sub-area, if the pipeline status analysis result of a water affairs dynamic monitoring sub-area is that the pipeline is normal, then the water affairs dynamic monitoring sub-area is recorded as the pipeline normal water affairs dynamic monitoring sub-area, and the normal water affairs dynamic monitoring sub-areas of each pipeline are obtained by traversing and screening.

[0016] Furthermore, the prompt adjustment is performed in combination with the pipeline status analysis results of each water affairs dynamic monitoring sub-area. The specific process is: if the pipeline status analysis result of a water affairs dynamic monitoring sub-area is marked as a normal pipeline, the staff is prompted; if the pipeline status analysis result of a water affairs dynamic monitoring sub-area is marked as an abnormal pipeline, the staff is prompted that an abnormal pipeline situation occurs in the water affairs dynamic monitoring sub-area, and the valve and water supply of the water affairs dynamic monitoring sub-area are adjusted.

[0017] Furthermore, the water quality assessment value of each pipeline normal water affairs dynamic monitoring sub-area is obtained, and the specific process is: extracting the water quality parameters of each pipeline normal water affairs dynamic monitoring sub-area within each supervision cycle, including the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water affairs dynamic monitoring sub-area.

[0018] A comprehensive analysis is conducted on the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period to obtain the water quality assessment value of each pipeline normal water dynamic monitoring sub-area.

[0019] Furthermore, the analysis obtains a comprehensive assessment value of the water dynamics of each pipeline normal water dynamics monitoring sub-area. The specific process is: extracting the water demand data of each pipeline normal water dynamics monitoring sub-area during each supervision cycle, including the total water consumption and average water pressure of each pipeline normal water dynamics monitoring sub-area.

[0020] Based on the pipeline status analysis index values ​​and water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, combined with the total water consumption and average water pressure of the normal water affairs dynamic monitoring sub-areas of each pipeline during each supervision period, a comprehensive analysis is performed to obtain the water affairs dynamic comprehensive assessment value of the normal water affairs dynamic monitoring sub-areas of each pipeline.

[0021] Furthermore, the water resources are dispatched and adjusted according to the water dynamics comprehensive evaluation value of each pipeline normal water dynamics monitoring sub-area. The specific process is: compare the water dynamics comprehensive evaluation value of each pipeline normal water dynamics monitoring sub-area with the set water dynamics comprehensive evaluation threshold. If the water dynamics comprehensive evaluation value of a pipeline normal water dynamics monitoring sub-area is higher than the set water dynamics comprehensive evaluation threshold, the water dynamics data of the pipeline normal water dynamics monitoring sub-area is sent to the staff and a prompt is given. If the water dynamics comprehensive evaluation value of a pipeline normal water dynamics monitoring sub-area is lower than or equal to the set water dynamics comprehensive evaluation threshold, the corresponding water resources dispatching adjustment parameters are matched according to the water dynamics comprehensive evaluation value of the pipeline normal water dynamics monitoring sub-area, and the water resources of the pipeline normal water dynamics monitoring sub-area are dispatched and adjusted according to the water resources dispatching adjustment parameters.

[0022] Furthermore, the water affairs dynamic comprehensive evaluation value of the normal water affairs dynamic monitoring sub-area of ​​each pipeline is specifically analyzed under the following conditions:

[0023]

[0024] In the formula, α i represents the comprehensive evaluation value of the water affairs dynamics of the normal water affairs dynamics monitoring sub-area of ​​the i-th pipeline, β i represents the pipeline status analysis index value of the i-th pipeline normal water dynamic monitoring sub-area, μ1 represents the weight factor corresponding to the set pipeline status analysis index value, γ i represents the water quality assessment value of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline, μ2 represents the weight factor corresponding to the set water quality assessment value, and A ij→1 represents the total water consumption of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline in the j-th supervision cycle, ΔA ij→1 represents the set reference total water consumption, μ3 represents the weight factor corresponding to the set total water consumption, A ij→2 represents the average water pressure of the i-th pipeline normal water affairs dynamic monitoring sub-area in the j-th supervision cycle, μ4 represents the weight factor corresponding to the set water pressure, i represents the number of each pipeline normal water affairs dynamic monitoring sub-area, i=1,2,3,…n, n represents the total number of pipeline normal water affairs dynamic monitoring sub-areas, j represents the number of each supervision cycle, j=1,2,3,…m, m represents the total number of supervision cycles, and e represents a natural constant.

[0025] The present invention has the following beneficial effects:

[0026] (1) The present invention provides a big data digital twin water affairs dynamic monitoring and evaluation method. First, the data of the water affairs dynamic monitoring sub-area is collected to help identify the water resource usage pattern. Then, the pipeline information is analyzed to timely discover potential pipeline damage, leakage or blockage problems. At the same time, the water quality parameters are analyzed to optimize the use of water resources. Finally, the water resources are scheduled and adjusted according to the comprehensive evaluation value of the water affairs dynamics, which helps to improve the accuracy of the overall water resources scheduling.

[0027] (2) The present invention obtains pipeline status analysis results of each water affairs dynamic monitoring sub-area by analyzing, and can timely discover potential problems in the pipeline, such as leakage, blockage or corrosion, to ensure that the problem is identified in the early stage and reduce the impact of potential problems on the entire water affairs system. Through continuous monitoring and analysis, it can ensure that the pipeline is always in good condition, thereby improving the stability and reliability of water supply, and at the same time providing real-time data support for water affairs management.

[0028] (3) The present invention obtains the water quality assessment value of each pipeline's normal water dynamic monitoring sub-area by analysis, which can more accurately analyze the actual situation of water quality and improve the reliability of the analysis results. In-depth analysis of the water quality assessment value can identify the effect of water treatment, improve the efficiency of water management, reduce unnecessary waste of resources, and ensure the sustainability of water facilities and services.

[0029] (4) The present invention obtains the comprehensive evaluation value of the water dynamics of each pipeline normal water dynamics monitoring sub-area through comprehensive analysis, which can more accurately match water supply and water demand, reduce resource waste, improve the rationality of water resource allocation, and timely adjust water resource scheduling to ensure that water supply can be maintained stable in water shortage or pollution events. Accurate scheduling can reduce the operating cost of the water system and improve overall operational efficiency.

[0030] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0032] Figure 2 This is an example graph of water quality assessment values. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: a big data digital twin water affairs dynamic monitoring and evaluation method, including dividing the water affairs dynamic monitoring area into various water affairs dynamic monitoring sub-areas, and collecting pipeline information, water quality parameters and water demand data of each water affairs dynamic monitoring sub-area.

[0035] The pipeline information of each water affairs dynamic monitoring sub-area is analyzed to obtain the pipeline status analysis index value of each water affairs dynamic monitoring sub-area, and then the pipeline status analysis results of each water affairs dynamic monitoring sub-area are analyzed to obtain the normal water affairs dynamic monitoring sub-area of ​​each pipeline, and the pipeline status analysis results of each water affairs dynamic monitoring sub-area are combined to make prompt adjustments.

[0036] The water quality parameters of the normal water affairs dynamic monitoring sub-areas of each pipeline are analyzed to obtain the water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline.

[0037] According to the pipeline status analysis index values ​​and water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, combined with the water demand data of the normal water affairs dynamic monitoring sub-areas of each pipeline, a comprehensive analysis is conducted to obtain the water affairs dynamic comprehensive assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, and water resources are dispatched and adjusted according to the water affairs dynamic comprehensive assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline.

[0038] Specifically, the pipeline status analysis index value of each water affairs dynamic monitoring sub-area is obtained. The specific process is: extracting the pipeline information of each water affairs dynamic monitoring sub-area within each supervision cycle, including the number of pipeline abnormalities in each water affairs dynamic monitoring sub-area, the maximum pressure of water flow in each pipeline and the average flow rate of water flow in each pipeline.

[0039] It should be added that the number of pipeline anomalies in each water affairs dynamic monitoring sub-area within each regulatory cycle refers to the number of pipelines with leakage, blockage, and abnormal pressure. The pipeline status is monitored in real time using intelligent sensors to obtain data, and the acquired data is processed and analyzed using data analysis tools (such as Python, R, MATLAB) to obtain the number of abnormal events recorded in each regulatory cycle. The maximum pressure of the water flow in each pipeline in each water affairs dynamic monitoring sub-area within each regulatory cycle refers to the highest water pressure measured inside the pipeline within the regulatory cycle. The pressure of the water flow in each pipeline is measured by pressure sensors installed at different positions of the pipeline within each regulatory cycle, and the maximum value is taken to obtain the maximum pressure of the water flow in each pipeline. The average flow rate of the water flow in each pipeline in each water affairs dynamic monitoring sub-area within each regulatory cycle refers to the average amount of water flowing through the water pipeline within the regulatory cycle. The water flow volume is measured within the regulatory cycle by a water meter or other flow meter equipment, and the ratio of the measured water flow volume to the duration of the regulatory cycle is used as the average flow rate of the water flow in each pipeline.

[0040] A comprehensive analysis is conducted on the number of pipeline anomalies, the maximum pressure of water flow in each pipeline, and the average flow rate of water flow in each pipeline in each water affairs dynamic monitoring sub-area during each supervision period to obtain the pipeline status analysis index value of each water affairs dynamic monitoring sub-area.

[0041] It should be added that in the process of analyzing and obtaining the pipeline status analysis index values ​​of each water affairs dynamic monitoring sub-area, the number of pipeline abnormalities in each water affairs dynamic monitoring sub-area within each supervision period, the maximum pressure of water flow in each pipeline and the average flow rate of water flow in each pipeline were all de-unitized.

[0042] It should be noted that the pipeline status analysis index value of each water affairs dynamic monitoring sub-area represents the numerical quantification result of the pipeline status analysis index value obtained by analyzing the pipeline information of each water affairs dynamic monitoring sub-area, and is used to comprehensively quantify the influence of the pipeline information of each water affairs dynamic monitoring sub-area on the analysis accuracy of the pipeline status analysis index value, which can be obtained by the following analysis method, and the specific analysis conditions are as follows:

[0043]

[0044] In the formula, β k represents the pipeline status analysis index value of the kth water affairs dynamic monitoring sub-area, B kj→1 represents the number of pipeline anomalies in the kth water affairs dynamic monitoring sub-area during the jth supervision cycle, Indicates the correction factor corresponding to the set number of pipeline anomalies, B kj→s2 represents the maximum pressure of water flow in the sth pipeline of the kth water affairs dynamic monitoring sub-area during the jth supervision cycle, ΔB kj→s2It represents the reference maximum pressure of water flow in the sth pipeline of the kth water affairs dynamic monitoring sub-area within the jth supervision cycle. Indicates the correction factor corresponding to the set maximum pressure, B kj→s3 represents the average flow rate of water in the sth pipeline of the kth water affairs dynamic monitoring sub-area during the jth supervision cycle, ΔB kj→s3 It represents the reference flow rate of water in the sth pipeline of the kth water affairs dynamic monitoring sub-area within the jth supervision cycle. It represents the correction factor corresponding to the set average flow rate, k represents the number of each water affairs dynamic monitoring sub-area, k=1,2,3,…h, h represents the total number of water affairs dynamic monitoring sub-areas, j represents the number of each supervision cycle, j=1,2,3,…m, m represents the total number of supervision cycles, s represents the number of each pipeline, s=1,2,3,…L, L represents the total number of pipelines, and e represents a natural constant.

[0045] It should be noted that when the number of pipeline anomalies increases, it usually means that there are more maintenance needs. The lower the pipeline status analysis index value, the greater the difference between the maximum pressure of the water flow in the pipeline and the reference maximum pressure, which may lead to pipeline rupture. The lower the pipeline status analysis index value is.

[0046] It should be added that, in this embodiment, the correction factor corresponding to the preset number of pipeline anomalies, the correction factor corresponding to the maximum pressure of the water flow and the correction factor corresponding to the average flow rate of the water flow are obtained from the water affairs dynamic monitoring database.

[0047] It should be noted that the correction factor corresponding to the number of pipeline anomalies represents the numerical value of the influence of the number of pipeline anomalies in the water affairs dynamic monitoring sub-area on the pipeline state analysis index value, the correction factor corresponding to the maximum pressure of the water flow represents the numerical value of the influence of the maximum pressure of the water flow in the pipeline on the pipeline state analysis index value, and the correction factor corresponding to the average flow rate of the water flow represents the numerical value of the influence of the average flow rate of the water flow in the pipeline on the pipeline state analysis index value. These corresponding relationships are pre-set mapping relationships. For example, the number of pipeline anomalies in each water affairs dynamic monitoring sub-area and the correction factor corresponding to the preset number of pipeline anomalies obtained in the water affairs dynamic monitoring database form a mapping set, which converts the real-time water affairs dynamic monitoring sub-area into a mapping set. The number of pipeline anomalies in the dynamic monitoring sub-area is input into the mapping set to obtain the correction factor corresponding to the number of pipeline anomalies in each water affairs dynamic monitoring sub-area, the maximum pressure of the water flow in each pipeline and the correction factor corresponding to the preset maximum pressure of the water flow obtained in the water affairs dynamic monitoring database form a mapping set, the real-time maximum pressure of the water flow in each pipeline is input into the mapping set to obtain the correction factor corresponding to the maximum pressure of the water flow in each pipeline, the average flow rate of the water flow in each pipeline and the correction factor corresponding to the preset average flow rate of the water flow obtained in the water affairs dynamic monitoring database form a mapping set, the real-time average flow rate of the water flow in each pipeline is input into the mapping set to obtain the correction factor corresponding to the average flow rate of the water flow in each pipeline.

[0048] It should be added that there is a correlation between the number of pipeline abnormalities in each water affairs dynamic monitoring sub-area during each regulatory period, the maximum pressure of water flow in each pipeline, and the average flow rate, and they do not exist independently. For example, a large difference between the maximum pressure of water flow and the reference maximum pressure may indicate that the water flow in the pipeline is faster than the historical water flow speed, which may lead to fatigue or increased stress of the pipeline material, and then cause pipeline rupture, resulting in an increase in the number of pipeline abnormalities.

[0049] It should be noted that by analyzing the number of pipeline anomalies in each water affairs dynamic monitoring sub-area during each regulatory cycle, potential pipeline problems can be identified in a timely manner. Analyzing the maximum pressure of water flow in each pipeline in each water affairs dynamic monitoring sub-area during each regulatory cycle is helpful to evaluate the performance of the pipeline under high load conditions. Analyzing the average flow rate of water flow in each pipeline in each water affairs dynamic monitoring sub-area during each regulatory cycle can evaluate the utilization efficiency of the pipeline, help identify situations of insufficient water supply or waste, and thus adjust resource allocation.

[0050] In this implementation plan, a comprehensive analysis is conducted on the number of pipeline anomalies in each water affairs dynamic monitoring sub-area during each supervision cycle, the maximum pressure and average flow rate of water in each pipeline, and the pipeline status analysis index value of each water affairs dynamic monitoring sub-area is obtained. This can evaluate the health status of the pipeline, promptly discover potential risk points, and reduce sudden failures.

[0051] Specifically, the pipeline status analysis results of each water affairs dynamic monitoring sub-area include normal pipelines and abnormal pipelines.

[0052] Specifically, the pipeline status analysis results of each water affairs dynamic monitoring sub-area are analyzed and obtained. The specific process is: the pipeline status analysis index value of each water affairs dynamic monitoring sub-area is compared with the set pipeline status analysis index threshold. If the pipeline status analysis index value of a water affairs dynamic monitoring sub-area is higher than the set pipeline status analysis index threshold, the pipeline status analysis result of the water affairs dynamic monitoring sub-area is marked as a normal pipeline. If the pipeline status analysis index value of a water affairs dynamic monitoring sub-area is lower than or equal to the set pipeline status analysis index threshold, the pipeline status analysis result of the water affairs dynamic monitoring sub-area is marked as an abnormal pipeline. Thus, the pipeline status analysis results of each water affairs dynamic monitoring sub-area are obtained, and the pipeline status analysis results are displayed on the digital twin water affairs dynamic monitoring visualization screen.

[0053] Specifically, the normal water affairs dynamic monitoring sub-areas of each pipeline are screened out. The specific process is: extract the pipeline status analysis result of each water affairs dynamic monitoring sub-area. If the pipeline status analysis result of a water affairs dynamic monitoring sub-area is that the pipeline is normal, then the water affairs dynamic monitoring sub-area is recorded as the pipeline normal water affairs dynamic monitoring sub-area, and the normal water affairs dynamic monitoring sub-areas of each pipeline are obtained by traversing and screening.

[0054] Specifically, prompts and adjustments are made in combination with the pipeline status analysis results of each water affairs dynamic monitoring sub-area. The specific process is: if the pipeline status analysis result of a water affairs dynamic monitoring sub-area is marked as a normal pipeline, the staff will be prompted; if the pipeline status analysis result of a water affairs dynamic monitoring sub-area is marked as an abnormal pipeline, the staff will be prompted that a pipeline abnormality has occurred in the water affairs dynamic monitoring sub-area, and the valves and water supply of the water affairs dynamic monitoring sub-area will be adjusted.

[0055] It should be noted that the staff is reminded through the digital twin water affairs dynamic monitoring visualization screen that the pipeline status analysis result of the water affairs dynamic monitoring sub-area is normal and further adjustment and analysis can be carried out.

[0056] It should be added that the valves and water supply of the water affairs dynamic monitoring sub-area are adjusted. The specific process is to adjust the valves of each pipeline in the water affairs dynamic monitoring sub-area, match the target water supply according to the pipeline status analysis index value of the water affairs dynamic monitoring sub-area, and adjust the water supply of the water affairs dynamic monitoring sub-area to the matched target water supply by adjusting the valves of each pipeline.

[0057] It should be added that the target water supply is obtained by matching the pipeline state analysis index value of the water affairs dynamic monitoring sub-area. The specific process is to construct a mapping set between the pipeline state analysis index value interval of the water affairs dynamic monitoring sub-area and its corresponding target water supply, input the real-time pipeline state analysis index value of the water affairs dynamic monitoring sub-area, match the interval where the pipeline state analysis index value of the water affairs dynamic monitoring sub-area is located, and obtain the target water supply corresponding to the pipeline state analysis index value of the water affairs dynamic monitoring sub-area through the mapping set. For example, the pipeline state analysis index value intervals are 0-2, 3-5, and 5-8, respectively, and the target water supply corresponding to the pipeline state analysis index value intervals are 1000 cubic meters / hour, 800 cubic meters / hour, and 600 cubic meters / hour, respectively. If the pipeline state analysis index value of a water affairs dynamic monitoring sub-area is monitored to be 4, then according to the mapping relationship, the corresponding target water supply should be 800 cubic meters / hour. If the pipeline state analysis index value of a water affairs dynamic monitoring sub-area is monitored to be 7, then according to the mapping relationship, the corresponding target water supply should be 600 cubic meters / hour.

[0058] Specifically, the water quality assessment value of each pipeline normal water affairs dynamic monitoring sub-area is obtained. The specific process is: extract the water quality parameters of each pipeline normal water affairs dynamic monitoring sub-area within each supervision cycle, including the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water affairs dynamic monitoring sub-area.

[0059] It should be added that the average pH value of the water flow in the trunk pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period refers to the arithmetic mean of the pH values ​​of the water flow samples in a certain pipeline normal water dynamic monitoring sub-area during the supervision period. The turbidity of the water flow in the trunk pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period refers to the degree of light scattering by suspended particles in the water. The chemical oxygen demand of the water flow in the trunk pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period indicates the amount of oxygen required for the oxidation of organic matter in the water sample in the presence of a strong oxidant (usually potassium dichromate). It is mainly used to measure the content of organic matter in the water and the self-purification capacity of the water body. Multiple water samples are collected regularly in the monitored trunk pipelines, and the samples are The collection points include the inlet, outlet and middle position of the pipeline. The pH value of each water sample is measured using a pH meter to obtain the pH value of each water sample. The average pH value of the measured pH values ​​of each water sample is taken to obtain the average pH value of the water flow in the main pipeline. The turbidity of each water sample is measured using a turbidity meter to obtain the turbidity value of each water sample. The average turbidity value of each water sample is taken to obtain the turbidity of the water flow in the main pipeline. Each water sample is added to a pre-prepared reaction tube, and concentrated sulfuric acid and potassium dichromate are added for heating and reaction. The color change after the reaction is measured by colorimetry to obtain the chemical oxygen demand of each water sample. The average chemical oxygen demand of each water sample is taken to obtain the chemical oxygen demand of the water flow in the main pipeline.

[0060] A comprehensive analysis is conducted on the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period to obtain the water quality assessment value of each pipeline normal water dynamic monitoring sub-area.

[0061] It should be added that in the process of analyzing and obtaining the water quality assessment values ​​of the normal water dynamic monitoring sub-areas of each pipeline, the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of the normal water dynamic monitoring sub-area of ​​each pipeline in each supervision period were de-normalized.

[0062] It should be noted that the water quality assessment value of each pipeline normal water service dynamic monitoring sub-area represents the numerical quantification result of the water quality assessment value obtained by analyzing the water quality parameters of each pipeline normal water service dynamic monitoring sub-area, and is used to comprehensively quantify the influence of the water quality parameters of each pipeline normal water service dynamic monitoring sub-area on the assessment accuracy of the water quality assessment value, which can be obtained by the following analysis method, and the specific analysis conditions are as follows:

[0063]

[0064] In the formula, γ i represents the water quality assessment value of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline, C ij→1represents the average pH value of the water flow in the main pipeline of the i-th pipeline normal water service dynamic monitoring sub-area during the j-th supervision cycle, ΔC ij→1 represents the set reference pH value, θ1 represents the weight factor corresponding to the set pH value, C ij→2 represents the turbidity of the water flow in the main pipeline of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline in the j-th supervision cycle, θ2 represents the weight factor corresponding to the set turbidity, and C ij→3 It represents the chemical oxygen demand of the water flow in the main pipeline of the normal water service dynamic monitoring sub-area of ​​the ith pipeline in the jth supervision cycle, θ3 represents the weight factor corresponding to the set chemical oxygen demand, j represents the number of each supervision cycle, j=1,2,3,…m, m represents the total number of supervision cycles, and e represents a natural constant.

[0065] It should be noted that high turbidity may indicate an increase in suspended matter in the water, which may affect the water quality and result in a low water quality assessment value. High chemical oxygen demand usually indicates serious organic pollution in the water and a low water quality assessment value.

[0066] In a specific embodiment, Table 1 shows the average pH value, turbidity and chemical oxygen demand of water flow in the main pipeline of different pipeline normal water dynamic monitoring sub-areas and the corresponding water quality assessment value. In this embodiment, the weight factor corresponding to the pH value is 0.3, the weight factor corresponding to the turbidity is 0.2, the weight factor corresponding to the chemical oxygen demand is 0.5, the reference fluid pH value is 7, and the total number of supervision cycles is 1. Table 1 The average pH value, turbidity and chemical oxygen demand of water flow in the main pipeline of different pipeline normal water dynamic monitoring sub-areas and the corresponding water quality assessment value

[0067]

[0068]

[0069] It should be explained that in Table 1, as the difference between the average pH value of the water flow in the main pipeline of the normal water dynamic monitoring sub-area of ​​the pipeline increases and the reference pH value, and the turbidity and chemical oxygen demand increase, the water quality assessment value decreases accordingly. Table 1 lists the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of 4 different normal water dynamic monitoring sub-areas of the pipeline and the corresponding water quality assessment values, and provides the degree of influence of different average pH values, turbidity and chemical oxygen demand on the water quality assessment value. The water quality assessment value comprehensively considers the average pH value, turbidity and chemical oxygen demand, and provides data support for water quality assessment.

[0070] It needs to be explained that Figure 2 This is an example diagram of water quality assessment values, such as Figure 2As shown, the horizontal axis represents chemical oxygen demand and the vertical axis represents water quality assessment value. In this embodiment, the weight factor corresponding to the pH value is 0.3, the weight factor corresponding to the turbidity is 0.2, the weight factor corresponding to the chemical oxygen demand is 0.5, the reference fluid pH value is 7, the average pH value of the water flow in the trunk pipeline is 6, and the total number of supervision cycles is 1. Three different groups of example parameters are defined in the figure, corresponding to different situations of the three curves, represented by solid lines, dashed lines and dotted lines respectively, and the corresponding curve labels are a, b, and c respectively.

[0071] It should be explained that when the turbidity is 20, the functional relationship between the chemical oxygen demand and the water quality assessment value is shown in curve a, when the turbidity is 23, the functional relationship between the chemical oxygen demand and the water quality assessment value is shown in curve b, and when the turbidity is 25, the functional relationship between the chemical oxygen demand and the water quality assessment value is shown in curve c. The water quality assessment value decreases with the increase of chemical oxygen demand, and when the turbidity increases, the water quality assessment value decreases accordingly. The water quality assessment value can be obtained quickly and accurately through the curve, which solves the problem in the prior art that the water quality assessment value cannot be accurately analyzed due to the lack of detailed analysis process, thereby realizing the precise scheduling of water resources.

[0072] It should be added that, in this embodiment, the weight factor corresponding to the preset pH value, the weight factor corresponding to the turbidity, and the weight factor corresponding to the chemical oxygen demand are obtained from the water affairs dynamic monitoring database.

[0073] It should be noted that the weight factor corresponding to the pH value represents the numerical value of the influence of the average pH value of the water flow in the pipeline on the water quality assessment value, the weight factor corresponding to the turbidity represents the numerical value of the influence of the turbidity of the water flow in the pipeline on the water quality assessment value, and the weight factor corresponding to the chemical oxygen demand represents the numerical value of the influence of the chemical oxygen demand of the water flow in the pipeline on the water quality assessment value. These corresponding relationships are pre-set mapping relationships. For example, the average pH value of the water flow in the trunk pipeline and the weight factor corresponding to the preset pH value obtained from the water affairs dynamic monitoring database form a mapping set, and the real-time average pH value of the water flow in the trunk pipeline is input into the mapping A mapping set is formed by inputting the real-time turbidity of the water flow in the main pipeline into the mapping set to obtain the weight factor corresponding to the turbidity of the water flow in the main pipeline, the weight factor corresponding to the average pH value of the water flow in the main pipeline is obtained, the turbidity of the water flow in the main pipeline and the weight factor corresponding to the preset turbidity obtained in the water affairs dynamic monitoring database form a mapping set, the real-time turbidity of the water flow in the main pipeline is input into the mapping set to obtain the weight factor corresponding to the turbidity of the water flow in the main pipeline, the chemical oxygen demand of the water flow in the main pipeline and the weight factor corresponding to the preset chemical oxygen demand obtained in the water affairs dynamic monitoring database form a mapping set, the real-time chemical oxygen demand of the water flow in the main pipeline is input into the mapping set to obtain the weight factor corresponding to the chemical oxygen demand of the water flow in the main pipeline.

[0074] It should be added that there is a correlation between the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period, and they do not exist independently. For example, there is a certain correlation between the average pH value and turbidity. An increase in the average pH value of the water flow (alkaline) may cause the precipitation of certain dissolved substances, thereby increasing the turbidity of the water flow. The average pH value of the water flow has an impact on the chemical oxygen demand. The acidic environment (low average pH value) will promote the degradation of certain organic matter, resulting in a decrease in chemical oxygen demand, while at a high average pH value, the degradation rate of organic matter may slow down, resulting in an increase in chemical oxygen demand.

[0075] It should be noted that by analyzing the average pH value of the water flow in the main pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period, potential water quality problems can be identified in time, thereby enhancing the accuracy of the water quality assessment value. Analyzing the turbidity of the water flow in the main pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period can more effectively analyze the purification effect of the water body. Analyzing the chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period is helpful to evaluate the effect of the water treatment process, improve the credibility of the water quality assessment value, and provide an important basis for water resources management.

[0076] In this implementation plan, a comprehensive analysis is conducted on the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline's normal water dynamic monitoring sub-area during each supervision period to obtain the water quality assessment value of each pipeline's normal water dynamic monitoring sub-area. This can form a comprehensive water quality assessment system that can reveal the relationship between water qualities, identify potential water quality problems and make targeted adjustments.

[0077] Specifically, the comprehensive assessment value of the water dynamics of each pipeline normal water dynamics monitoring sub-area is obtained through analysis. The specific process is: extracting the water demand data of each pipeline normal water dynamics monitoring sub-area during each supervision cycle, including the total water consumption and average water pressure of each pipeline normal water dynamics monitoring sub-area.

[0078] It should be added that the total water consumption of each pipeline normal water dynamic monitoring sub-area during each supervision period refers to the total water consumption supplied by each pipeline in the normal water dynamic monitoring sub-area during the supervision period. Flow meters are installed at the water inlet and outlet of each pipeline to monitor the flow rate of water in real time. The water consumption of each pipeline in the normal water dynamic monitoring sub-area during each supervision period is accumulated to obtain the total water consumption. The average water pressure of each pipeline normal water dynamic monitoring sub-area during each supervision period refers to the average water pressure of a pipeline normal water dynamic monitoring sub-area during the supervision period. In each pipeline normal water dynamic monitoring sub-area, multiple water pressure sensors are installed to monitor the water pressure value in real time and record the water pressure data. The average water pressure data of all water pressure data in each pipeline normal water dynamic monitoring sub-area is taken to obtain the average water pressure.

[0079] Based on the pipeline status analysis index values ​​and water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, combined with the total water consumption and average water pressure of the normal water affairs dynamic monitoring sub-areas of each pipeline during each supervision period, a comprehensive analysis is performed to obtain the water affairs dynamic comprehensive assessment value of the normal water affairs dynamic monitoring sub-areas of each pipeline.

[0080] It should be noted that the comprehensive assessment value of water affairs dynamics in the normal water affairs dynamics monitoring sub-areas of each pipeline represents the numerical quantification result of the comprehensive assessment value of water affairs dynamics obtained by analyzing the water demand data, pipeline status analysis index values ​​and water quality assessment values ​​of the normal water affairs dynamics monitoring sub-areas of each pipeline. It is used to comprehensively quantify the influence of the water demand data of the normal water affairs dynamics monitoring sub-areas of each pipeline on the assessment accuracy of the comprehensive assessment value of water affairs dynamics.

[0081] It should be added that in the process of analyzing and obtaining the comprehensive water dynamics assessment value of each pipeline normal water dynamics monitoring sub-area, the pipeline status analysis index values, water quality assessment values, total water consumption and average water pressure of each pipeline normal water dynamics monitoring sub-area in each supervision period were de-unitized.

[0082] Specifically, the comprehensive assessment value of the water affairs dynamics of each pipeline normal water affairs dynamics monitoring sub-area, the specific analysis conditions are:

[0083]

[0084] In the formula, α i represents the comprehensive evaluation value of the water affairs dynamics of the normal water affairs dynamics monitoring sub-area of ​​the i-th pipeline, β i represents the pipeline status analysis index value of the i-th pipeline normal water dynamic monitoring sub-area, μ1 represents the weight factor corresponding to the set pipeline status analysis index value, γ irepresents the water quality assessment value of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline, μ2 represents the weight factor corresponding to the set water quality assessment value, and A ij→1 represents the total water consumption of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline in the j-th supervision cycle, ΔA ij→1 represents the set reference total water consumption, μ3 represents the weight factor corresponding to the set total water consumption, A ij→2 represents the average water pressure of the i-th pipeline normal water affairs dynamic monitoring sub-area in the j-th supervision cycle, μ4 represents the weight factor corresponding to the set water pressure, i represents the number of each pipeline normal water affairs dynamic monitoring sub-area, i=1,2,3,…n, n represents the total number of pipeline normal water affairs dynamic monitoring sub-areas, j represents the number of each supervision cycle, j=1,2,3,…m, m represents the total number of supervision cycles, and e represents a natural constant.

[0085] It should be added that, in this embodiment, the weight factors corresponding to the preset pipeline status analysis index values, the weight factors corresponding to the water quality assessment values, the weight factors corresponding to the total water consumption and the weight factors corresponding to the water pressure are obtained from the water affairs dynamic monitoring database.

[0086] It should be noted that the weight factor corresponding to the pipeline status analysis index value represents the numerical value of the influence of the pipeline status analysis index value on the water affairs dynamic comprehensive evaluation value, the weight factor corresponding to the water quality evaluation value represents the numerical value of the influence of the water quality evaluation value on the water affairs dynamic comprehensive evaluation value, the weight factor corresponding to the total water consumption represents the numerical value of the influence of the total water consumption on the water affairs dynamic comprehensive evaluation value, and the weight factor corresponding to the water pressure represents the numerical value of the influence of the average water pressure on the water affairs dynamic comprehensive evaluation value. These corresponding relationships are pre-set mapping relationships. For example, the pipeline status analysis index value and the weight factor corresponding to the preset pipeline status analysis index value obtained in the water affairs dynamic monitoring database form a mapping set, which converts the real-time pipeline The state analysis index value is input into the mapping set to obtain the weight factor corresponding to the pipeline state analysis index value. The water quality assessment value and the weight factor corresponding to the preset water quality assessment value obtained in the water affairs dynamic monitoring database form a mapping set. The real-time water quality assessment value is input into the mapping set to obtain the weight factor corresponding to the water quality assessment value. The total water consumption and the weight factor corresponding to the preset total water consumption obtained in the water affairs dynamic monitoring database form a mapping set. The real-time total water consumption is input into the mapping set to obtain the weight factor corresponding to the total water consumption. The average water pressure and the weight factor corresponding to the preset water pressure obtained in the water affairs dynamic monitoring database form a mapping set. The real-time average water pressure is input into the mapping set to obtain the weight factor corresponding to the average water pressure.

[0087] It should be added that there is a correlation between the pipeline status analysis index values, water quality assessment values, total water consumption and average water pressure of each pipeline normal water dynamic monitoring sub-area during each supervision period, and they do not exist independently. For example, the higher the total water consumption, the higher the average water pressure. The stability of water pressure is closely related to water consumption, pipeline status analysis index values ​​and water quality. Low water pressure may indicate problems with the pipeline, such as blockage or leakage. The water quality assessment value directly affects the user's water use experience. Low water quality assessment value may lead to a decrease in water consumption.

[0088] It should be noted that by analyzing the pipeline status analysis index values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, the operation risks and potential problems of the pipeline can be identified, which is helpful to more accurately evaluate the health status of the pipeline. By analyzing the water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, problems in the water treatment process can be discovered in a timely manner. By analyzing the total water consumption of the normal water affairs dynamic monitoring sub-areas of each pipeline during each supervision cycle, data support can be provided for managers to rationally plan water supply plans. By analyzing the average water pressure of the normal water affairs dynamic monitoring sub-areas of each pipeline during each supervision cycle, the stability of the water supply system and the operating efficiency of the pipeline network can be effectively judged, providing more accurate data support for the comprehensive water affairs dynamic assessment value.

[0089] In this implementation plan, a comprehensive analysis is conducted on the pipeline status analysis index values, water quality assessment values, total water consumption and average water pressure of each pipeline normal water dynamic monitoring sub-area during each supervision period, and the water dynamic comprehensive assessment value of each pipeline normal water dynamic monitoring sub-area is obtained, which can provide data support for water management and improve the overall water management level.

[0090] Specifically, water resources are dispatched and adjusted according to the comprehensive evaluation value of the water dynamics of each pipeline normal water dynamics monitoring sub-area. The specific process is: compare the comprehensive evaluation value of the water dynamics of each pipeline normal water dynamics monitoring sub-area with the set water dynamics comprehensive evaluation threshold. If the comprehensive evaluation value of the water dynamics of a pipeline normal water dynamics monitoring sub-area is higher than the set water dynamics comprehensive evaluation threshold, the water dynamics data of the pipeline normal water dynamics monitoring sub-area is sent to the staff and a prompt is given. If the comprehensive evaluation value of the water dynamics of a pipeline normal water dynamics monitoring sub-area is lower than or equal to the set water dynamics comprehensive evaluation threshold, the corresponding water resources dispatching adjustment parameters are matched according to the comprehensive evaluation value of the water dynamics of the pipeline normal water dynamics monitoring sub-area, and the water resources of the pipeline normal water dynamics monitoring sub-area are dispatched and adjusted according to the water resources dispatching adjustment parameters.

[0091] It should be added that the water affairs dynamics data of the normal water affairs dynamics monitoring sub-area of ​​the pipeline are sent to the staff and prompted. The digital twin water affairs dynamics monitoring visualization screen prompts the staff that the water affairs dynamics data of the normal water affairs dynamics monitoring sub-area of ​​the pipeline are normal and no scheduling adjustment is required.

[0092] It should be added that the corresponding water resource scheduling adjustment parameters are matched. The specific process is to construct a mapping set between the water dynamic comprehensive evaluation value interval of the pipeline normal water dynamic monitoring sub-area and its corresponding water resource scheduling adjustment parameters, input the real-time water dynamic comprehensive evaluation value of the pipeline normal water dynamic monitoring sub-area, match the interval where the water dynamic comprehensive evaluation value of the pipeline normal water dynamic monitoring sub-area is located, and obtain the water resource scheduling adjustment parameters corresponding to the water dynamic comprehensive evaluation value of the pipeline normal water dynamic monitoring sub-area through the mapping set. For example, the water dynamic comprehensive evaluation value interval of the pipeline normal water dynamic monitoring sub-area The intervals are 0-10, 11-30, and 31-50 respectively, and the water supply flow rates in the water resources scheduling adjustment parameters are 1200 cubic meters / hour, 1000 cubic meters / hour, and 700 cubic meters / hour respectively. If the comprehensive assessment value of the water dynamics of a normal water dynamics monitoring sub-area of ​​a pipeline is monitored to be 35, then according to the mapping relationship, the corresponding water supply flow rate in the water resources scheduling adjustment parameters should be 700 cubic meters / hour; if the comprehensive assessment value of the water dynamics of a normal water dynamics monitoring sub-area of ​​a pipeline is monitored to be 15, then according to the mapping relationship, the corresponding water supply flow rate in the water resources scheduling adjustment parameters should be 1000 cubic meters / hour.

[0093] It should be noted that the water resource scheduling adjustment parameters include water supply flow and pipeline pressure, and the water resource scheduling adjustment parameters can be positive or negative.

[0094] It should be added that the water resources in the normal water dynamic monitoring sub-area of ​​the pipeline are scheduled and adjusted according to the water resources scheduling adjustment parameters, the water supply flow and pipeline pressure in the water resources scheduling adjustment parameters are added to the current water supply flow and pipeline pressure respectively to obtain the target water supply flow and target pipeline pressure, and the water supply valve is adjusted to adjust the water supply flow and pipeline pressure to the target water supply flow and target pipeline pressure.

[0095] It should be noted that a big data digital twin water affairs dynamic monitoring and evaluation method also includes a water affairs dynamic monitoring database, which is used to store correction factors corresponding to the number of pipeline abnormalities obtained by analyzing historical data, correction factors corresponding to the maximum pressure of water flow, correction factors corresponding to the average flow rate of water flow, weight factors corresponding to pH values, weight factors corresponding to turbidity, weight factors corresponding to chemical oxygen demand, weight factors corresponding to pipeline status analysis index values, weight factors corresponding to water quality assessment values, weight factors corresponding to total water consumption, weight factors corresponding to water pressure, reference total water consumption, reference pH value, water affairs dynamic comprehensive evaluation threshold, pipeline status analysis index threshold, reference maximum pressure and reference flow rate of water flow in each pipeline in each water affairs dynamic monitoring sub-area within each supervision period.

[0096] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or pipeline including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or pipeline.

[0097] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. A big data digital twin water affairs dynamic monitoring and evaluation method, characterized in that: include: Divide the water affairs dynamic monitoring area into various water affairs dynamic monitoring sub-areas, and collect pipeline information, water quality parameters and water demand data of each water affairs dynamic monitoring sub-area; Analyze the pipeline information of each water affairs dynamic monitoring sub-area, obtain the pipeline status analysis index value of each water affairs dynamic monitoring sub-area, and then analyze and obtain the pipeline status analysis results of each water affairs dynamic monitoring sub-area, and screen out the normal water affairs dynamic monitoring sub-areas of each pipeline, and at the same time, make prompt adjustments based on the pipeline status analysis results of each water affairs dynamic monitoring sub-area; Analyze the water quality parameters of each pipeline's normal water affairs dynamic monitoring sub-area to obtain the water quality assessment value of each pipeline's normal water affairs dynamic monitoring sub-area; According to the pipeline status analysis index values ​​and water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, combined with the water demand data of the normal water affairs dynamic monitoring sub-areas of each pipeline, a comprehensive analysis is conducted to obtain the water affairs dynamic comprehensive assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, and water resources are dispatched and adjusted according to the water affairs dynamic comprehensive assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline.

2. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 1, it is characterized by: The specific process of obtaining the pipeline status analysis index value of each water affairs dynamic monitoring sub-area is as follows: Extract pipeline information of each water affairs dynamic monitoring sub-area in each supervision cycle, including the number of pipeline anomalies in each water affairs dynamic monitoring sub-area, the maximum pressure of water flow in each pipeline and the average flow rate of water flow in each pipeline; A comprehensive analysis is conducted on the number of pipeline anomalies, the maximum pressure of water flow in each pipeline, and the average flow rate of water flow in each pipeline in each water affairs dynamic monitoring sub-area during each supervision period to obtain the pipeline status analysis index value of each water affairs dynamic monitoring sub-area.

3. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 1, it is characterized by: The pipeline status analysis results of each water affairs dynamic monitoring sub-area include normal pipelines and abnormal pipelines.

4. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 3, it is characterized by: The analysis results of pipeline status of each water affairs dynamic monitoring sub-area are obtained by the analysis, and the specific process is as follows: The pipeline status analysis index value of each water affairs dynamic monitoring sub-area is compared with the set pipeline status analysis index threshold. If the pipeline status analysis index value of a water affairs dynamic monitoring sub-area is higher than the set pipeline status analysis index threshold, the pipeline status analysis result of the water affairs dynamic monitoring sub-area is marked as normal pipeline. If the pipeline status analysis index value of a water affairs dynamic monitoring sub-area is lower than or equal to the set pipeline status analysis index threshold, the pipeline status analysis result of the water affairs dynamic monitoring sub-area is marked as abnormal pipeline. Thus, the pipeline status analysis results of each water affairs dynamic monitoring sub-area are obtained, and the pipeline status analysis results are displayed on the digital twin water affairs dynamic monitoring visualization screen.

5. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 4, it is characterized by: The specific process of screening out the normal water affairs dynamic monitoring sub-areas of each pipeline is as follows: Extract the pipeline status analysis results of each water affairs dynamic monitoring sub-area. If the pipeline status analysis result of a water affairs dynamic monitoring sub-area is that the pipeline is normal, then the water affairs dynamic monitoring sub-area is recorded as the pipeline normal water affairs dynamic monitoring sub-area, and traverse and screen to obtain the normal water affairs dynamic monitoring sub-areas of each pipeline.

6. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 4, it is characterized by: The prompt adjustment is performed in combination with the pipeline status analysis results of each water affairs dynamic monitoring sub-area. The specific process is as follows: If the pipeline status analysis result of a water affairs dynamic monitoring sub-area is marked as normal, the staff will be prompted. If the pipeline status analysis result of a water affairs dynamic monitoring sub-area is marked as abnormal, the staff will be prompted that the pipeline abnormality occurs in the water affairs dynamic monitoring sub-area, and the valve and water supply of the water affairs dynamic monitoring sub-area will be adjusted.

7. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 1, it is characterized by: The specific process of obtaining the water quality assessment value of each pipeline normal water service dynamic monitoring sub-area is as follows: Extract water quality parameters of each pipeline normal water service dynamic monitoring sub-area during each supervision period, including the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water service dynamic monitoring sub-area; A comprehensive analysis is conducted on the average pH value, turbidity and chemical oxygen demand of the water flow in the main pipeline of each pipeline normal water dynamic monitoring sub-area during each supervision period to obtain the water quality assessment value of each pipeline normal water dynamic monitoring sub-area.

8. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 1, it is characterized by: The analysis obtains the comprehensive assessment value of the water affairs dynamics of each pipeline normal water affairs dynamics monitoring sub-area, and the specific process is as follows: Extract water demand data of each pipeline normal water affairs dynamic monitoring sub-area in each supervision cycle, including total water consumption and average water pressure of each pipeline normal water affairs dynamic monitoring sub-area; Based on the pipeline status analysis index values ​​and water quality assessment values ​​of the normal water affairs dynamic monitoring sub-areas of each pipeline, combined with the total water consumption and average water pressure of the normal water affairs dynamic monitoring sub-areas of each pipeline during each supervision period, a comprehensive analysis is performed to obtain the water affairs dynamic comprehensive assessment value of the normal water affairs dynamic monitoring sub-areas of each pipeline.

9. According to the big data digital twin water affairs dynamic monitoring and evaluation method of claim 8, it is characterized by: The water resources are dispatched and adjusted according to the comprehensive evaluation value of the water affairs dynamic monitoring sub-area of ​​each pipeline. The specific process is as follows: The water affairs dynamic comprehensive evaluation value of each pipeline normal water affairs dynamic monitoring sub-area is compared with the set water affairs dynamic comprehensive evaluation threshold. If the water affairs dynamic comprehensive evaluation value of a pipeline normal water affairs dynamic monitoring sub-area is higher than the set water affairs dynamic comprehensive evaluation threshold, the water affairs dynamic data of the pipeline normal water affairs dynamic monitoring sub-area is sent to the staff and a prompt is given. If the water affairs dynamic comprehensive evaluation value of a pipeline normal water affairs dynamic monitoring sub-area is lower than or equal to the set water affairs dynamic comprehensive evaluation threshold, the corresponding water resources scheduling adjustment parameters are matched according to the water affairs dynamic comprehensive evaluation value of the pipeline normal water affairs dynamic monitoring sub-area, and the water resources of the pipeline normal water affairs dynamic monitoring sub-area are scheduled and adjusted according to the water resources scheduling adjustment parameters.

10. The big data digital twin water affairs dynamic monitoring and evaluation method according to claim 8 is characterized by: The specific analysis conditions of the comprehensive assessment value of the water affairs dynamics of the normal water affairs dynamics monitoring sub-areas of each pipeline are as follows: In the formula, α i represents the comprehensive evaluation value of the water affairs dynamics of the normal water affairs dynamics monitoring sub-area of ​​the i-th pipeline, β i represents the pipeline status analysis index value of the i-th pipeline normal water dynamic monitoring sub-area, μ1 represents the weight factor corresponding to the set pipeline status analysis index value, γ i represents the water quality assessment value of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline, μ2 represents the weight factor corresponding to the set water quality assessment value, and A ij→1 represents the total water consumption of the normal water service dynamic monitoring sub-area of ​​the i-th pipeline in the j-th supervision cycle, ΔA ij→1 represents the set reference total water consumption, μ3 represents the weight factor corresponding to the set total water consumption, A ij→2 represents the average water pressure of the i-th pipeline normal water affairs dynamic monitoring sub-area in the j-th supervision cycle, μ4 represents the weight factor corresponding to the set water pressure, i represents the number of each pipeline normal water affairs dynamic monitoring sub-area, i=1,2,3,…n, n represents the total number of pipeline normal water affairs dynamic monitoring sub-areas, j represents the number of each supervision cycle, j=1,2,3,…m, m represents the total number of supervision cycles, and e represents a natural constant.

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