Water supply pipeline real-time monitoring method, device, electronic equipment and medium

Abstract

The present application relates to the field of pipe network detection technology, and in particular to a method, device, electronic device and medium for real-time monitoring of water supply pipelines, which includes obtaining the current water pressure value of the water supply pipeline in the target monitoring area; comparing the current water pressure value with the preset standard water pressure value to determine whether there is water pressure abnormality in the target monitoring area; when there is water pressure abnormality in the target monitoring area, determining the abnormal source area from the preset pipeline information according to the target monitoring area; determining multiple abnormal water inlet pipelines in the abnormal source area according to the direction of water flow; obtaining monitoring parameter information at each abnormal water inlet pipeline; determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline; generating maintenance information according to multiple abnormal probabilities, and the maintenance information facilitates relevant staff to quickly locate the target abnormal water inlet pipeline. The present application has the effect of timely discovering the leakage location when leakage occurs in the water supply pipeline.

Description

Technical Field

[0001] The present application relates to the field of pipe network detection technology, and in particular to methods, devices, electronic equipment and media for real-time monitoring of water supply pipelines. Background Art

[0002] With the continuous development of the economy and society, in order to meet the needs of people's lives and industry and agriculture, the scale of water supply pipelines is getting larger and larger. However, as the scale of the water supply network becomes larger and larger, the probability of problems in the water supply network is also increasing. If the water supply pipeline leaks or is damaged during the water supply process, it will not only cause a waste of water resources, but also may cause soil erosion in the pipeline leakage area, resulting in underground cavities in the leakage area, affecting the safety of pedestrians and vehicles.

[0003] In the related art, when leak detection is performed on a water supply pipeline, the water supply pipeline is usually divided into areas. After the areas are divided, relevant staff are required to manually perform leak detection on all water supply pipelines in the monitoring area within a certain period of time. However, when a leak occurs in the water supply pipeline, it is impossible to quickly locate the abnormal position of the leak. Summary of the invention

[0004] In order to be able to promptly discover the leakage location when a water supply pipeline leaks, the present application provides a method, device, electronic equipment and medium for real-time monitoring of a water supply pipeline.

[0005] In the first aspect, the present application provides a method for real-time monitoring of a water supply pipeline, which adopts the following technical solution:

[0006] The real-time monitoring method of water supply pipeline includes:

[0007] Obtain the current water pressure value of the water supply pipeline in the target monitoring area;

[0008] Compare the current water pressure value with a preset standard water pressure value to determine whether there is abnormal water pressure in the target monitoring area;

[0009] When there is water pressure abnormality in the target monitoring area, determining the abnormal source area from preset pipeline information according to the target monitoring area;

[0010] According to the water flow direction, multiple abnormal water inlet pipelines in the abnormal source area are determined;

[0011] Acquire monitoring parameter information at each abnormal water inlet pipeline, wherein the monitoring parameter information includes road condition image information and humidity information;

[0012] Determine the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;

[0013] Maintenance information is generated according to the plurality of abnormal probabilities, and the maintenance information facilitates relevant staff to quickly locate the target abnormal water inlet pipeline.

[0014] By adopting the above technical scheme, by obtaining the current water pressure value of the water supply pipeline in the target monitoring area and comparing the current water pressure value with the preset standard water pressure value, if it is detected that the water pressure value in the target monitoring area is abnormal, the abnormal source area is determined according to the preset pipeline information, and then according to the water flow direction, multiple abnormal water inlet pipelines in the abnormal source area are determined, and the road condition image information and humidity information of each abnormal water inlet pipeline are obtained to form monitoring parameter information, and then the probability of abnormality of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, and maintenance information is generated according to the abnormal probability. According to the maintenance information, it is convenient for relevant staff to find the leakage location in time when leakage occurs in the water supply pipeline.

[0015] In a possible implementation, comparing the current water pressure value with a preset standard water pressure value to determine whether there is abnormal water pressure in the target monitoring area includes:

[0016] Compare the current water pressure value with the preset standard water pressure range, and if the current water pressure value exceeds the preset standard water pressure range, determine whether the current time is a water consumption peak time;

[0017] If the current time is a peak water usage time, determining whether the current water pressure value exceeds a preset water pressure limit range;

[0018] If the current water pressure value exceeds the preset water pressure limit range, it is determined that there is abnormal water pressure in the target monitoring area.

[0019] By adopting the above technical scheme, it is determined whether the current water pressure value exceeds the preset standard water pressure range. If the current water pressure value exceeds the preset standard water pressure range, it is determined whether the current moment is the peak water consumption moment. If the current moment is the peak water consumption moment, it is determined whether the current water pressure value exceeds the preset water pressure limit range. If the current water pressure value exceeds the preset water pressure limit range, it is determined that there is a water pressure anomaly in the target monitoring area. Determining whether there is a water pressure anomaly in the target monitoring area through multiple judgment conditions helps to improve the accuracy of determining the water pressure anomaly.

[0020] In a possible implementation, when there is water pressure abnormality in the target monitoring area, determining the abnormal source area from preset pipeline information according to the target monitoring area includes:

[0021] According to the target monitoring area, all branches including the target monitoring area are determined from a preset pipeline map, each branch including at least one monitoring area;

[0022] According to the water flow direction of each branch, the abnormal source area in each branch is determined.

[0023] By adopting the above technical solution, all branches including the target monitoring area are obtained according to the preset pipeline map, and the abnormal source area in each branch is determined according to the water flow direction. Repairing the abnormal source area helps to improve the overall water supply pipeline maintenance efficiency.

[0024] In a possible implementation, determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline includes:

[0025] Performing image recognition on the road condition image information to determine whether there is construction behavior in the road condition image information;

[0026] If there is construction behavior, prediction information is generated, and the prediction information can represent the probability of abnormality in the water inlet pipeline caused by the construction behavior;

[0027] The abnormal probability corresponding to each water inlet pipeline is generated according to the humidity information of each abnormal water inlet pipeline and the prediction information.

[0028] By adopting the above technical scheme, the construction behavior existing in the road condition image is determined by performing image recognition on the road condition image information, and the prediction information of the abnormality of the abnormal water inlet pipeline caused by the construction behavior is determined based on the construction behavior. The abnormal probability corresponding to each abnormal water inlet pipeline is determined together with the humidity information, and multiple abnormal water inlet pipelines are inspected and maintained according to the abnormal probability, which helps to improve the inspection efficiency.

[0029] In a possible implementation, after the maintenance information is generated according to the plurality of abnormal probabilities, the method further includes:

[0030] When the target abnormal water inlet pipeline is determined according to the maintenance information, the maintenance time is recorded;

[0031] If the number of inspections of the target abnormal water inlet pipeline within a preset time period exceeds a preset threshold, reconstruction information corresponding to the target abnormal water inlet pipeline is generated.

[0032] By adopting the above technical scheme, by recording the maintenance time of the target abnormal water inlet pipeline, it is determined whether the number of maintenance times within the preset time period exceeds the preset threshold, and then it is determined whether the target abnormal water inlet pipeline should be rebuilt. If the number of maintenance times of the target abnormal water inlet pipeline within the preset time period exceeds the preset threshold, reconstruction information is generated. The reconstruction information is used to suggest relevant management units to repair the target abnormal water inlet pipeline to avoid high-frequency leakage, thereby reducing the workload of relevant staff.

[0033] In one possible implementation, it also includes:

[0034] After obtaining the current water pressure value of the water supply pipeline in the target monitoring area, record the acquisition time;

[0035] generating a pressure-time variation curve according to the current water pressure value and the acquisition time;

[0036] Retrieving the associated pressure-time variation curve corresponding to the associated area of ​​the target monitoring area;

[0037] Combining the pressure-time variation curve with the associated pressure-time variation curve to obtain a final pressure-time variation curve;

[0038] The water pressure variation trend is predicted according to the final pressure-time variation curve, and early warning information is generated.

[0039] By adopting the above technical scheme, the water pressure value and the corresponding acquisition time of the target monitoring area are obtained, and the pressure-time variation curve is obtained according to each water pressure value and the corresponding acquisition time, and then the associated pressure-time variation curve corresponding to the associated area of ​​the target monitoring area is retrieved, and the pressure-time variation curve of the target monitoring area is merged with the associated pressure-time variation curve to obtain the final pressure-time variation curve, and then the water pressure value is predicted according to the final pressure-time variation curve to obtain the water pressure variation trend, and early warning information is generated according to the water pressure variation trend. The early warning information is used to remind relevant staff to take corresponding protective measures according to the pressure variation trend to reduce losses caused by leakage in the water supply pipeline.

[0040] In one possible implementation, it also includes:

[0041] Determine the associated area with the target monitoring area as the center and the preset distance as the radius;

[0042] Determine all monitoring areas within the associated area as initial associated monitoring areas;

[0043] An initial associated monitoring area that supplies water to the target monitoring area is determined as the associated monitoring area.

[0044] By adopting the above technical solution, the associated area is determined by taking the target monitoring area as the center and the preset distance as the radius, and the monitoring area in the associated area that supplies water to the target monitoring area is determined as the associated monitoring area. The associated monitoring area is determined by the preset distance and water supply relationship, which helps to improve the correlation between the target monitoring area and the associated monitoring area.

[0045] In the second aspect, the present application provides a real-time monitoring device for a water supply pipeline, which adopts the following technical solution:

[0046] Water supply pipeline real-time monitoring device, including

[0047] An acquisition module is used to obtain the current water pressure value of the water supply pipeline in the target monitoring area;

[0048] An abnormality judgment module is used to compare the current water pressure value with a preset standard water pressure value to judge whether there is a water pressure abnormality in the target monitoring area;

[0049] An abnormality source determination module is used to determine the abnormality source area from preset pipeline information according to the target monitoring area when there is water pressure abnormality in the target monitoring area;

[0050] A water inlet pipeline determination module is used to determine multiple abnormal water inlet pipelines in the abnormal source area according to the water flow direction;

[0051] A monitoring parameter acquisition module is used to acquire monitoring parameter information at each abnormal water inlet pipeline, wherein the monitoring parameter information includes road condition image information and humidity information;

[0052] An abnormality probability determination module is used to determine the abnormality probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;

[0053] A maintenance information generation module is used to generate maintenance information based on the multiple abnormal probabilities, and the maintenance information facilitates relevant staff to quickly locate the target abnormal water inlet pipeline.

[0054] By adopting the above technical scheme, by obtaining the current water pressure value of the water supply pipeline in the target monitoring area and comparing the current water pressure value with the preset standard water pressure value, if it is detected that the water pressure value in the target monitoring area is abnormal, the abnormal source area is determined according to the preset pipeline information, and then according to the water flow direction, multiple abnormal water inlet pipelines in the abnormal source area are determined, and the road condition image information and humidity information of each abnormal water inlet pipeline are obtained to form monitoring parameter information, and then the probability of abnormality of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, and maintenance information is generated according to the abnormal probability. According to the maintenance information, it is convenient for relevant staff to find the leakage location in time when leakage occurs in the water supply pipeline.

[0055] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0056] An electronic device, comprising:

[0057] at least one processor;

[0058] Memory;

[0059] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned method for real-time monitoring of a water supply pipeline.

[0060] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0061] A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned water supply pipeline real-time monitoring method.

[0062] In summary, the present application includes at least one of the following beneficial technical effects:

[0063] 1. By obtaining the current water pressure value of the water supply pipeline in the target monitoring area and comparing the current water pressure value with the preset standard water pressure value, if an abnormal water pressure value is detected in the target monitoring area, the abnormal source area is determined according to the preset pipeline information, and then according to the water flow direction, multiple abnormal water inlet pipelines in the abnormal source area are determined, and the road condition image information and humidity information of each abnormal water inlet pipeline are obtained to form monitoring parameter information, and then the probability of abnormality of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, and maintenance information is generated according to the abnormal probability. According to the maintenance information, it is convenient for relevant staff to find the leakage location in time when leakage occurs in the water supply pipeline. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a flow chart of a method for real-time monitoring of a water supply pipeline in an embodiment of the present application;

[0065] Figure 2 It is a structural schematic diagram of a real-time monitoring device for a water supply pipeline in an embodiment of the present application;

[0066] Figure 3 It is a structural schematic diagram of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0067] The following is combined with Figure 1-3 This application is described in further detail.

[0068] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0069] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0070] In order to be able to promptly discover the leakage location when a water supply pipeline leaks, in an embodiment of the present application, by obtaining the current water pressure value of the water supply pipeline in the target monitoring area, and comparing the current water pressure value with the preset standard water pressure value, if an abnormality is detected in the water pressure value at the target monitoring area, the abnormal source area is determined according to the preset pipeline information, and then according to the water flow direction, multiple abnormal water inlet pipelines in the abnormal source area are determined, and the road condition image information and humidity information of each abnormal water inlet pipeline are obtained to form monitoring parameter information, and then the probability of abnormality of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, and maintenance information is generated according to the abnormal probability. According to the maintenance information, relevant staff can promptly discover the leakage location when a leakage occurs in the water supply pipeline.

[0071] Specifically, the embodiment of the present application provides a real-time monitoring method for a water supply pipeline, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application.

[0072] refer to Figure 1 , Figure 1 : is a flow chart of a method for real-time monitoring of a water supply pipeline in an embodiment of the present application, the method comprising step S110, step S120, step S130, step S140, step S150, step S160, and step S170, wherein:

[0073] Step S110: Obtain the current water pressure value of the water supply pipeline in the target monitoring area.

[0074] Specifically, the current water pressure value can be collected by the target pressure detection device set in the target monitoring area so that the electronic device can obtain it. The leakage of the water supply pipeline is related to the pressure change in the water supply pipeline. When the pressure in the water supply pipeline changes, the outer wall of the water supply pipeline is subjected to different forces, which may cause the water supply pipeline to leak. Correspondingly, when leakage occurs in the water supply pipeline, the flow rate changes, which causes the pressure value in the water supply pipeline to change. Therefore, it is judged whether the water supply pipeline is leaking based on the pressure value of the water supply pipeline.

[0075] Step S120: Compare the current water pressure value with the preset standard water pressure value to determine whether there is abnormal water pressure in the target monitoring area.

[0076] Specifically, the preset standard water pressure value can be modified according to the needs, and is not specifically limited in the embodiments of the present application. If the current water pressure value is lower than or equal to the preset standard water pressure value, it is determined that there is no water pressure anomaly in the target monitoring area; if the current water pressure value is higher than the preset standard water pressure value, it is determined that there is a water pressure anomaly in the target monitoring area.

[0077] Step S130: When there is water pressure abnormality in the target monitoring area, the abnormal source area is determined from preset pipeline information according to the target monitoring area.

[0078] Specifically, the preset pipeline information can be pre-imported or manually input, and the preset pipeline information can be modified according to the water supply pipeline. The specific pipeline information is not specifically limited in the embodiment of the present application. The preset pipeline information includes the number of each monitoring area and multiple branches. According to the target monitoring area, multiple branches including the target monitoring area can be determined, and the abnormal source area of ​​each branch is determined by retrieving the water pressure values ​​of multiple monitoring areas on each branch.

[0079] At least two monitoring areas determine a branch, and each branch includes an upstream monitoring area and a downstream monitoring area. If there is abnormal water pressure in the upstream monitoring area, the downstream monitoring area may also have abnormal water pressure due to the influence of the upstream monitoring area. Therefore, when abnormal water pressure occurs in the monitoring area, the abnormal source area should be inspected first, which is conducive to improving the inspection efficiency.

[0080] Step S140: determining a plurality of abnormal water inlet pipelines in the abnormal source area according to the water flow direction.

[0081] Specifically, the water flow direction can determine the water supply pipe flowing to the abnormal source area. When an abnormality occurs in the water inlet pipe of the abnormal source area, abnormal water pressure will occur in the abnormal source area.

[0082] Step S150: Acquire monitoring parameter information at each abnormal water inlet pipeline.

[0083] Among them, the monitoring parameter information includes road condition image information and humidity information.

[0084] Specifically, the road condition image information can be collected by an image acquisition device. Through the road condition image information, it can be checked whether there is any construction at the abnormal water inlet pipe. The road condition image information can help relevant staff determine the cause of the abnormality.

[0085] Humidity information can be measured by a humidity detector installed at the abnormal water inlet pipeline. The collected humidity information helps to determine whether there is leakage at the abnormal water inlet pipeline. If the humidity value at the abnormal water inlet pipeline exceeds the preset standard humidity value, it is determined that there is a pipeline leakage at the abnormal water inlet pipeline. The preset standard humidity value can be modified according to demand, and can also be determined according to the geographical location of the abnormal water inlet pipeline. For example, if the abnormal water inlet pipeline is located in the humid and rainy south, or in a coastal area, the humidity value of the preset standard humidity is higher; if the abnormal water inlet pipeline is located in the dry north or offshore area, the preset standard humidity value is lower, which is not specifically limited in the embodiments of the present application.

[0086] Step S160: determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline.

[0087] Specifically, it is determined based on the road condition image information whether there is any construction at the abnormal water inlet pipeline. If there is construction, the probability of the construction causing an abnormality in the water supply pipeline is predicted, and based on the generated prediction information, the prediction information and the humidity information are used together to determine the abnormal probability corresponding to the abnormal water inlet pipeline.

[0088] For example, after analyzing the monitoring parameter information of the abnormal water inlet pipeline to obtain the road condition image information and humidity information of the abnormal water inlet pipeline, the road condition image information is used to determine that there is construction behavior at the abnormal water inlet pipeline, and the construction behavior is used to determine the prediction information of the abnormality caused by the construction behavior to the abnormal water inlet pipeline. According to the humidity information, it is determined that the humidity value at the abnormal water inlet pipeline is higher than the preset standard humidity value, so according to the preset weight, the abnormal probability corresponding to the abnormal water inlet pipeline is obtained based on the prediction information and the humidity information.

[0089] Step 170: Generate maintenance information according to multiple abnormality probabilities.

[0090] Among them, maintenance information facilitates relevant staff to quickly locate the target abnormal water inlet pipeline.

[0091] Specifically, the maintenance information is determined according to the abnormal probability. The abnormal probability corresponding to each abnormal water inlet pipeline is arranged according to the probability value to obtain a probability sequence, and the maintenance information is generated according to the route sequence, that is, the maintenance information is generated according to the abnormal probability, so that the abnormal water inlet pipeline with a higher abnormal probability can be quickly repaired. The abnormal water inlet pipeline with a higher abnormal probability is repaired first to improve the time of determining the target abnormal water inlet pipeline.

[0092] In an embodiment of the present application, by obtaining the current water pressure value of the water supply pipeline in the target monitoring area and comparing the current water pressure value with the preset standard water pressure value, if an abnormality is detected in the water pressure value at the target monitoring area, the abnormal source area is determined according to the preset pipeline information, and then according to the water flow direction, multiple abnormal water inlet pipelines in the abnormal source area are determined, and the road condition image information and humidity information of each abnormal water inlet pipeline are obtained to form monitoring parameter information, and then the probability of abnormality of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, and maintenance information is generated according to the abnormal probability. According to the maintenance information, relevant staff can find the leakage location in time when leakage occurs in the water supply pipeline.

[0093] Further, in order to improve the accuracy of determining whether there is abnormal water pressure in the target monitoring area, in the embodiment of the present application, step S120 may specifically include: step S1201 (not shown in the drawings), step S1202 (not shown in the drawings), and step S1203 (not shown in the drawings), wherein:

[0094] Step S1201: Compare the current water pressure value with the preset standard water pressure range. If the current water pressure value exceeds the preset standard water pressure range, determine whether the current time is a peak water usage time.

[0095] Step S1202: If the current time is the peak water usage time, determine whether the water pressure value exceeds the preset water pressure limit range.

[0096] Step S1203: If the current water pressure value exceeds the preset water pressure limit range, it is determined that there is abnormal water pressure in the target monitoring area.

[0097] Specifically, the preset standard water pressure range and the preset water pressure limit range can be modified according to needs and are not specifically limited in the embodiments of the present application. Since the water pressure value in the water supply pipe may decrease at the time of water use, each water pressure value within the preset water pressure limit range is smaller than each water pressure value within the preset standard water pressure value range.

[0098] The peak water consumption period will affect the water pressure value in the water supply pipe. The peak water consumption period can be determined according to the location of the target monitoring area. For example, the peak water consumption period of a boarding school is concentrated around 6 am and 9 pm. If the target monitoring area is near the school, then 5:30-6:30 am and 9-10 pm are the peak water consumption periods, and all times within the peak water consumption period are peak water consumption times.

[0099] If the current water pressure value exceeds the preset standard water pressure value range and the current time is not a peak time, it is determined that there is a water pressure abnormality in the target monitoring area; if the current water pressure value exceeds the preset standard water pressure value range and the current time is a peak water usage time, it is determined whether the current water pressure value exceeds the preset water pressure limit range. If the current water pressure value does not exceed the preset water pressure limit range, it is determined that there is no water pressure abnormality in the target monitoring area; if the current water pressure value exceeds the preset water pressure limit range, it is determined that there is a water pressure abnormality in the target monitoring area.

[0100] In the implementation of this application, by judging whether the current water pressure value exceeds the preset standard water pressure range, if the current water pressure value exceeds the preset standard water pressure range, it is judged whether the current moment is the peak water consumption moment, if the current moment is the peak water consumption moment, it is judged whether the current water pressure value exceeds the preset water pressure limit range, if the current water pressure value exceeds the preset water pressure limit range, it is determined that there is a water pressure abnormality in the target monitoring area. Determining whether there is a water pressure abnormality in the target monitoring area through multiple judgment conditions helps to improve the accuracy of determining the water pressure abnormality.

[0101] Further, in step S130, the abnormal source area is determined from the preset pipeline information according to the target monitoring area, which may specifically include step S1301 (not shown in the drawings) and step S1302 (not shown in the drawings), wherein:

[0102] Step S1301: According to the target monitoring area, all branches including the target monitoring area are determined from a preset pipeline map, and each branch includes at least one monitoring area.

[0103] Specifically, the preset pipeline map can be modified according to needs and can be input in advance. In the embodiment of the present application, the preset pipeline map is not specifically limited, as long as each branch containing the target monitoring area can be determined according to the preset pipeline map.

[0104] Step S1302: Determine the abnormal source area in each branch according to the water flow direction of each branch.

[0105] Specifically, for example, the target monitoring area is numbered 4, and all branches containing number 4 are obtained from the preset pipeline diagram. If an abnormality occurs in 4, it is determined whether number 4 in each branch is the source of the abnormality. If the branches in a branch are numbered 1, 2, 3, 4, 5, and 6, and the monitoring areas where the abnormality occurs are 2, 3, and 4, and the direction of the water flow is from 1 to 6, it is determined that the source of the abnormality in the current branch is the monitoring area numbered 2.

[0106] In an embodiment of the present application, all branches including the target monitoring area are obtained according to a preset pipeline map, and the abnormal source area in each branch is determined according to the water flow direction. Inspecting the abnormal source area helps to improve the overall water supply pipeline inspection efficiency.

[0107] Further, in step S160, the abnormal probability corresponding to the abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, which may specifically include step S1601 (not shown in the drawings), step S1602 (not shown in the drawings), and step S1603 (not shown in the drawings), wherein:

[0108] Step S1601: Perform image recognition on the road condition image information to determine whether there is any construction activity in the road condition image information.

[0109] Specifically, before image recognition is performed on the road condition image information, the road condition image information is preprocessed. After the road condition image is grayed, binarized, expanded, and eroded, it is helpful to determine the construction behavior in the road condition information. After the road condition image is processed, multiple initial image information is obtained. For example, graying the image can avoid strip distortion; image binarization can set the gray value of the pixel on the monitoring image to 0 or 255, that is, the process of presenting the entire road condition image with an obvious black and white effect. Binarization greatly reduces the amount of data in the road condition image, thereby highlighting the outline of key new energy equipment.

[0110] The road condition image is input into the trained construction behavior recognition model for construction behavior recognition to obtain the construction behavior. When training the construction behavior model, a large number of training samples are obtained. The training samples contain the characteristics of the construction behavior, including construction tools and roadblocks. The training samples are input into the initial construction behavior model for learning to obtain a trained construction behavior recognition model.

[0111] Step S1602: If there is construction activity, prediction information is generated.

[0112] Among them, the prediction information can characterize the probability that construction behavior affects the occurrence of abnormalities in the water inlet pipeline.

[0113] Step S1603: Generate the abnormal probability corresponding to each abnormal water inlet pipeline according to the humidity information and prediction information of each abnormal water inlet pipeline.

[0114] Specifically, for example, based on the construction behavior obtained after identifying the road condition image information, it is determined that the probability that the current construction line will cause an abnormality in the abnormal water inlet pipeline is 70%, and based on the humidity information, it is determined that the probability of leakage in the abnormal water inlet pipeline is 80%. The preset weight is 0.5, and the abnormal probability corresponding to the abnormal water inlet pipeline is calculated to be 70%+0.5+80%+0.5=75%.

[0115] In an embodiment of the present application, construction behaviors present in road condition images are determined by performing image recognition on road condition image information, and prediction information of abnormalities in abnormal water inlet pipelines caused by the construction behaviors is determined based on the construction behaviors. The prediction information and humidity information are used together to determine the abnormal probability corresponding to each abnormal water inlet pipeline, and multiple abnormal water inlet pipelines are inspected and maintained based on the abnormal probability, which helps to improve the inspection efficiency.

[0116] Furthermore, after step S170, the following steps are also included:

[0117] When the target abnormal water inlet pipeline is determined based on the maintenance information, the maintenance time is recorded;

[0118] If the number of inspections of the target abnormal water inlet pipeline within the preset time period exceeds a preset threshold, reconstruction information corresponding to the target abnormal water inlet pipeline is generated.

[0119] Specifically, the maintenance time can be recorded manually and input into an electronic device, or a work log can be generated when the target abnormal water inlet pipeline is determined, and the maintenance record can be written into the work log. The method of recording the maintenance time is not specifically limited in the present application example.

[0120] The preset time period can be modified according to demand, and can be one week, two weeks, or one month, which is not specifically limited in the embodiments of the present application. According to the recorded maintenance time, the number of maintenance times within the preset time period is determined. The preset threshold value can be modified according to demand, which is not specifically limited in the embodiments of the present application.

[0121] The reconstruction information is used to advise relevant management units to repair target abnormal water inlet pipelines to avoid high-frequency leakage.

[0122] In an embodiment of the present application, by recording the maintenance time of the target abnormal water inlet pipeline, it is determined whether the number of maintenance times within a preset time period exceeds a preset threshold, and then it is determined whether the target abnormal water inlet pipeline needs to be rebuilt. If the number of maintenance times of the target abnormal water inlet pipeline within the preset time period exceeds the preset threshold, reconstruction information is generated. The reconstruction information is used to suggest relevant management units to repair the target abnormal water inlet pipeline to avoid high-frequency leakage, thereby reducing the workload of relevant staff.

[0123] Further, in order to reduce the loss caused by leakage in the water supply pipeline, the embodiment of the present application further includes step Sa (not shown in the drawings), step Sb (not shown in the drawings), step Sc (not shown in the drawings), step Sd (not shown in the drawings), and step Se (not shown in the drawings), wherein:

[0124] Step Sa: Obtain the current water pressure value of the water supply pipeline in the target monitoring area and record the acquisition time.

[0125] Step Sb: Generate a pressure-time variation curve according to the current water pressure value and the acquisition time.

[0126] Specifically, the acquisition time corresponding to each current water pressure value is imported into a preset pressure-time coordinate system, and each coordinate point is connected to obtain a pressure-time variation curve.

[0127] Step Sc: retrieve the associated pressure-time variation curve corresponding to the associated area of ​​the target monitoring area.

[0128] Specifically, the associated area may be determined by a preset distance between each monitoring area, and a monitoring area that is at a preset distance from the target monitoring area is determined as the associated area.

[0129] Step Sd: merging the pressure-time variation curve and the associated pressure-time variation curve to obtain a final pressure-time variation curve.

[0130] Specifically, the associated pressure-time variation curve is imported into the pressure-time coordinate system corresponding to the target monitoring area and marked with different colors.

[0131] Step Se: predict the water pressure change trend according to the final pressure-time change curve and generate early warning information.

[0132] Specifically, the water pressure is determined to be on the rise through the final pressure-time curve, and the warning information is used to remind relevant staff to take corresponding protective measures according to the water pressure change trend. For example, the water pressure value in the target monitoring area can be adjusted by adjusting the water consumption in the target monitoring area.

[0133] In an embodiment of the present application, the water pressure value and the corresponding acquisition time of the target monitoring area are obtained, and a pressure-time variation curve is obtained according to each water pressure value and the corresponding acquisition time, and then the associated pressure-time variation curve corresponding to the associated area of ​​the target monitoring area is retrieved, and the pressure-time variation curve of the target monitoring area is merged with the associated pressure-time variation curve to obtain a final pressure-time variation curve, and then the water pressure value is predicted according to the final pressure-time variation curve to obtain the water pressure variation trend, and early warning information is generated according to the water pressure variation trend. The early warning information is used to remind relevant personnel to take corresponding protective measures according to the pressure variation trend to reduce losses caused by leakage in the water supply pipeline.

[0134] Furthermore, the embodiment of the present application also includes:

[0135] Determine the associated area with the target monitoring area as the center and the preset distance as the radius;

[0136] Determine all monitoring areas within the associated area as initial associated monitoring areas;

[0137] The initial associated monitoring area that supplies water to the target monitoring area is determined as the associated monitoring area.

[0138] Specifically, the preset distance can be modified according to the needs and is not specifically limited in the embodiments of the present application. By establishing the associated area, the associated monitoring area of ​​the target monitoring area can be quickly located. Abnormal water pressure upstream in the water supply pipeline may cause abnormal water pressure downstream. Therefore, when determining the water pressure trend in the target monitoring area, the associated area is the monitoring area in the associated area that supplies water to the target monitoring area.

[0139] In an embodiment of the present application, the associated area is determined by taking the target monitoring area as the center and the preset distance as the radius, and the monitoring area in the associated area that supplies water to the target monitoring area is determined as the associated monitoring area. The associated monitoring area is determined by the preset distance and water supply relationship, which helps to improve the correlation between the target monitoring area and the associated monitoring area.

[0140] The above embodiment introduces a method for real-time monitoring of a water supply pipeline from the perspective of a method flow, and the following embodiment introduces a device for real-time monitoring of a water supply pipeline from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0141] The present application embodiment provides a device for real-time monitoring of a water supply pipeline, such as Figure 2 As shown, the real-time monitoring device for water supply pipelines may specifically include an acquisition module 210, an abnormality judgment module 220, an abnormality source determination module 230, a water inlet pipeline determination module 240, a monitoring parameter acquisition module 250, an abnormality probability determination module 260, and a maintenance information generation module 270, wherein:

[0142] An acquisition module 210 is used to acquire the current water pressure value of the water supply pipeline in the target monitoring area;

[0143] The abnormality determination module 220 is used to compare the current water pressure value with the preset standard water pressure value to determine whether there is a water pressure abnormality in the target monitoring area;

[0144] The abnormality source determination module 230 is used to determine the abnormality source area from the preset pipeline information according to the target monitoring area when there is water pressure abnormality in the target monitoring area;

[0145] A water inlet pipeline determination module 240 is used to determine multiple abnormal water inlet pipelines in the abnormal source area according to the water flow direction;

[0146] A monitoring parameter acquisition module 250 is used to acquire monitoring parameter information at each abnormal water inlet pipeline;

[0147] An abnormality probability determination module 260 is used to determine the abnormality probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;

[0148] The maintenance information generating module 270 is used to generate maintenance information according to a plurality of abnormality probabilities.

[0149] In a possible implementation, the abnormality determination module 220 includes:

[0150] A water consumption peak judging unit is used to compare the current water pressure value with a preset standard water pressure range. If the current water pressure value exceeds the preset standard water pressure range, it is judged whether the current moment is a water consumption peak moment;

[0151] A limit judgment unit, used to judge whether the water pressure value exceeds a preset water pressure limit range if the current moment is a peak water usage moment;

[0152] The water pressure abnormality determination unit is used to determine that there is a water pressure abnormality in the target monitoring area if the current water pressure value exceeds a preset water pressure limit range.

[0153] In a possible implementation, the abnormality source determination module 230 includes:

[0154] A branch determination unit is used to determine all branches including the target monitoring area from a preset pipeline map according to the target monitoring area, and each branch includes at least one monitoring area;

[0155] The abnormal source determination unit is used to determine the abnormal source area in each branch according to the water flow direction of each branch.

[0156] In one possible implementation, the abnormality probability determination module 260 includes:

[0157] A behavior recognition unit is used to perform image recognition on the road condition image information to determine whether there is construction behavior in the road condition image information;

[0158] A prediction information generating unit is used to generate prediction information if there is construction behavior;

[0159] The abnormality probability generating unit is used to generate the abnormality probability corresponding to each abnormal water inlet pipeline according to the humidity information and prediction information of each abnormal water inlet pipeline.

[0160] In one possible implementation, it also includes:

[0161] A recording module, used to record the maintenance time when the target abnormal water inlet pipeline is determined according to the maintenance information;

[0162] The reconstruction information generating module is used to generate reconstruction information corresponding to the target abnormal water inlet pipeline if the number of inspections of the target abnormal water inlet pipeline exceeds a preset threshold within a preset time period.

[0163] In one possible implementation, it also includes:

[0164] A data acquisition module is used to acquire the current water pressure value of the water supply pipeline in the target monitoring area and record the acquisition time;

[0165] A curve generation module is used to generate a pressure-time variation curve according to the current water pressure value and the acquisition time;

[0166] An information retrieving module is used to retrieve the associated pressure-time variation curve corresponding to the associated area of ​​the target monitoring area;

[0167] A merging module, used for merging the pressure-time variation curve with the associated pressure-time variation curve to obtain a final pressure-time variation curve;

[0168] The early warning information generation module is used to predict the water pressure change trend according to the final pressure-time change curve and generate early warning information.

[0169] In one possible implementation, it also includes:

[0170] A module for determining an associated area is used to determine an associated area with a target monitoring area as the center and a preset distance as the radius;

[0171] A module for determining an initial associated monitoring area is used to determine all monitoring areas within the associated area as initial associated monitoring areas;

[0172] The associated monitoring area determination module is used to determine the initial associated monitoring area that supplies water to the target monitoring area as the associated monitoring area.

[0173] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0174] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0175] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0176] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0177] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0178] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0179] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0180] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0181] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. Real-time monitoring method of water supply pipeline, It is characterized in that include: Obtain the current water pressure value of the water supply pipeline in the target monitoring area; Compare the current water pressure value with a preset standard water pressure value to determine whether there is abnormal water pressure in the target monitoring area; When there is water pressure abnormality in the target monitoring area, determining the abnormal source area from preset pipeline information according to the target monitoring area; According to the water flow direction, multiple abnormal water inlet pipelines in the abnormal source area are determined; Acquire monitoring parameter information at each abnormal water inlet pipeline, wherein the monitoring parameter information includes road condition image information and humidity information; Determine the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline; Maintenance information is generated according to the plurality of abnormal probabilities, and the maintenance information facilitates relevant staff to quickly locate the target abnormal water inlet pipeline.

2. The water supply pipeline real-time monitoring method according to claim 1, It is characterized in that The comparing the current water pressure value with the preset standard water pressure value to determine whether there is abnormal water pressure in the target monitoring area includes: Compare the current water pressure value with the preset standard water pressure range, and if the current water pressure value exceeds the preset standard water pressure range, determine whether the current time is a water consumption peak time; If the current time is a peak water usage time, determining whether the current water pressure value exceeds a preset water pressure limit range; If the current water pressure value exceeds the preset water pressure limit range, it is determined that there is abnormal water pressure in the target monitoring area.

3. The water supply pipeline real-time monitoring method according to claim 1, It is characterized in that When the target monitoring area has water pressure anomaly, determining the abnormal source area from preset pipeline information according to the target monitoring area includes: According to the target monitoring area, all branches including the target monitoring area are determined from a preset pipeline map, each branch including at least one monitoring area; According to the water flow direction of each branch, the abnormal source area in each branch is determined.

4. The water supply pipeline real-time monitoring method according to claim 1, It is characterized in that The determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline includes: Performing image recognition on the road condition image information to determine whether there is construction behavior in the road condition image information; If there is construction behavior, prediction information is generated, and the prediction information can represent the probability of abnormality in the water inlet pipeline caused by the construction behavior; The abnormal probability corresponding to each water inlet pipeline is generated according to the humidity information of each abnormal water inlet pipeline and the prediction information.

5. The water supply pipeline real-time monitoring method according to claim 1, It is characterized in that After the maintenance information is generated according to the plurality of abnormal probabilities, the method further includes: When the target abnormal water inlet pipeline is determined according to the maintenance information, the maintenance time is recorded; If the number of inspections of the target abnormal water inlet pipeline within a preset time period exceeds a preset threshold, reconstruction information corresponding to the target abnormal water inlet pipeline is generated.

6. The water supply pipeline real-time monitoring method according to claim 1, It is characterized in that Also includes: After obtaining the current water pressure value of the water supply pipeline in the target monitoring area, record the acquisition time; generating a pressure-time variation curve according to the current water pressure value and the acquisition time; Retrieving the associated pressure-time variation curve corresponding to the associated area of ​​the target monitoring area; Combining the pressure-time variation curve with the associated pressure-time variation curve to obtain a final pressure-time variation curve; The water pressure variation trend is predicted according to the final pressure-time variation curve, and early warning information is generated.

7. The water supply pipeline real-time monitoring method according to claim 1, It is characterized in that Also includes: Determine the associated area with the target monitoring area as the center and the preset distance as the radius; Determine all monitoring areas within the associated area as initial associated monitoring areas; An initial associated monitoring area that supplies water to the target monitoring area is determined as the associated monitoring area.

8. Real-time monitoring device for water supply pipelines, It is characterized in that include: An acquisition module is used to obtain the current water pressure value of the water supply pipeline in the target monitoring area; An abnormality judgment module is used to compare the current water pressure value with a preset standard water pressure value to judge whether there is a water pressure abnormality in the target monitoring area; An abnormality source determination module is used to determine the abnormality source area from preset pipeline information according to the target monitoring area when there is water pressure abnormality in the target monitoring area; A water inlet pipeline determination module is used to determine multiple abnormal water inlet pipelines in the abnormal source area according to the water flow direction; A monitoring parameter acquisition module is used to acquire monitoring parameter information at each abnormal water inlet pipeline, wherein the monitoring parameter information includes road condition image information and humidity information; An abnormality probability determination module is used to determine the abnormality probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline; A maintenance information generation module is used to generate maintenance information based on the multiple abnormal probabilities, and the maintenance information facilitates relevant staff to quickly locate the target abnormal water inlet pipeline.

9. An electronic device, It is characterized in that The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the method for real-time monitoring of a water supply pipeline as described in any one of claims 1-7.

10. A computer-readable storage medium, It is characterized in that include: A computer program is stored which can be loaded by a processor and executes the method according to any one of claims 1 to 7.

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