A water body pollution detection method and device, electronic equipment and storage medium

Abstract

The application relates to a water body pollution detection method and device, electronic equipment and a storage medium. The method comprises obtaining water quality data and positions of a plurality of monitoring points, wherein the water quality data comprises microbial content, residual chlorine content and particulate matter content; determining a plurality of water quality abnormal areas based on the water quality data and positions of the plurality of monitoring points; obtaining water pressure monitoring data corresponding to the plurality of water quality abnormal areas, wherein the water pressure monitoring data comprises water pressures of a plurality of preset pressure measuring moments corresponding to the plurality of water quality abnormal areas; and determining water quality abnormal types corresponding to the plurality of water quality abnormal areas based on the water pressure monitoring data corresponding to the plurality of water quality abnormal areas. The application can determine the cause of water quality abnormality.

Description

Technical Field

[0001] This application relates to the field of water quality monitoring, and in particular to a method, apparatus, electronic device and storage medium for detecting water pollution. Background Technology

[0002] The digital water management system consists of components such as water supply pressure monitoring, flow monitoring, water quality monitoring, emergency command, and marketing management. Among these, water quality monitoring plays a crucial role in maintaining a healthy water environment. Even if water supply units conduct rigorous testing on water sources and all water quality indicators meet standards, issues such as aging pipes and poor-quality pipe materials can still occur during transportation. This can lead to complex physical, chemical, and biological reactions within the water supply network, causing water quality deterioration and secondary pollution of the water supply network.

[0003] In related technologies, water quality testing includes steps such as water sampling, water analysis, water recording, remote transmission, and software analysis, which can determine the water quality of the tested water body. However, due to the complex environment within water supply networks, and the accumulation of sediment and deposits in the pipes after a period of use, it is difficult to determine the specific cause of water quality abnormalities after they are detected. Therefore, determining the cause of water quality abnormalities is a problem that urgently needs to be solved. Summary of the Invention

[0004] In order to determine the cause of water pollution, this application relates in particular to a method, apparatus, electronic device and storage medium for detecting water pollution.

[0005] Firstly, this application provides a method for detecting water pollution, employing the following technical solution:

[0006] A method for detecting water pollution, comprising:

[0007] Acquire water quality data and locations for multiple monitoring points, including microbial content, residual chlorine content, and particulate matter content;

[0008] Based on the water quality data and location of each of the multiple monitoring points, several areas with abnormal water quality were identified.

[0009] Obtain water pressure monitoring data corresponding to each of the several water quality anomaly areas, wherein the water pressure monitoring data includes water pressure at multiple preset pressure measurement times corresponding to the water quality anomaly areas;

[0010] Based on the water pressure monitoring data corresponding to each of the aforementioned water quality anomaly areas, the water quality anomaly type corresponding to each of the aforementioned water quality anomaly areas is determined.

[0011] By adopting the above technical solution, based on the water quality data and location of each monitoring point, several areas in the water supply network where water quality is abnormal are identified; then, the water pressure monitoring data of each water quality abnormality area is analyzed, and the cause of the water quality abnormality in the water supply network is determined by analyzing the trend of water pressure changes, thereby determining the type of water quality abnormality corresponding to each water quality abnormality area.

[0012] In one possible implementation, the determination of several water quality anomaly areas based on the water quality data and locations corresponding to the plurality of monitoring points includes:

[0013] Obtain the water usage type corresponding to each of the multiple monitoring points;

[0014] Based on the water quality data, location, and water usage type of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points;

[0015] Obtain water supply network information, which includes the functions, locations, model parameters, and operating parameters of each of the multiple devices included in the water supply network;

[0016] Based on the water supply network information and the locations of the various water quality anomaly points, several water quality anomaly areas are determined.

[0017] By adopting the above technical solution, the water quality evaluation standard for each monitoring point is determined according to the different water use types and locations corresponding to each monitoring point. Then, based on the water quality evaluation standard and water quality data corresponding to each monitoring point, several water quality anomaly points are identified from multiple monitoring points, thus more accurately identifying the monitoring points with water quality anomalies. Based on the functions, locations, model parameters, and operating parameters of multiple devices in the water supply network, as well as the locations of several water quality anomaly points in the water supply network, several water quality anomaly areas are identified, thus more accurately identifying the water quality anomaly areas.

[0018] In one possible implementation, the determination of several water quality anomaly points from the plurality of monitoring points based on their respective water quality data, locations, and water usage types includes:

[0019] Based on the water quality data and location of each of the multiple monitoring points, the water quality stability and water activity of each of the multiple monitoring points are determined.

[0020] Obtain water quality assessment information, which includes water quality assessment standards corresponding to multiple water use types;

[0021] Based on the water quality assessment information and the water use type, location, water quality stability, and water activity of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points.

[0022] By adopting the above technical solution, the water quality stability and water activity corresponding to each monitoring point are determined based on the location and water quality data of each monitoring point. Simultaneously, water quality evaluation information is obtained, including water quality evaluation standards corresponding to multiple water use types. For each monitoring point, the corresponding water quality evaluation standard is determined based on the water use type of that monitoring point. Furthermore, the water quality evaluation standard is further subdivided based on the location of the monitoring point. Based on the water activity and water quality stability of that monitoring point, it is determined whether the requirements are met. If not, the monitoring point is identified as a water quality anomaly. Analyzing the water quality of monitoring points at different locations and with different water use types using corresponding evaluation standards allows for a more accurate identification of water quality anomalies.

[0023] In one possible implementation, determining several water quality anomaly areas based on the water supply network information and the locations corresponding to the several water quality anomaly points includes:

[0024] Based on the water supply network information and the locations of the several water quality anomaly points, the water flow velocity and direction corresponding to each of the several water quality anomaly points are determined.

[0025] Based on the location, flow velocity, and flow direction of each of the aforementioned water quality anomaly points, several water quality anomaly areas are determined.

[0026] By adopting the above technical solution, based on the water supply network information and the corresponding locations of several water quality anomaly points, the water flow velocity and direction of each water quality anomaly point are determined, and the influence range of the water quality anomaly is determined according to the water flow velocity and direction, thereby enabling a more accurate determination of the water quality anomaly area.

[0027] In one possible implementation, determining the water quality anomaly type corresponding to each of the plurality of water quality anomaly areas based on the water pressure monitoring data corresponding to each of the plurality of water quality anomaly areas includes:

[0028] Based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas, determine at least one time of abnormal water pressure change corresponding to the several water quality anomaly areas.

[0029] Obtain historical maintenance information corresponding to each of the aforementioned water quality anomaly areas, wherein the historical maintenance information includes the maintenance period and area;

[0030] Based on the historical maintenance information corresponding to each of the several water quality anomaly areas and at least one time of abnormal water pressure change, the water quality anomaly type corresponding to each of the several water quality anomaly areas is determined.

[0031] By adopting the above technical solution, based on the water pressure monitoring data of each water quality anomaly area, at least one time of abnormal water pressure change is determined for each water quality anomaly area; by using the historical maintenance data corresponding to each water quality anomaly area, it is determined whether the time of abnormal water pressure change for the water quality anomaly area is within the maintenance period, thereby determining the corresponding water quality anomaly type. By analyzing and judging the time of abnormal water pressure change, the water quality anomaly type can be determined more accurately.

[0032] In one possible implementation, acquiring the water quality data and location corresponding to each of the multiple monitoring points includes:

[0033] Obtain the water flow rate at the water supply point and the water flow rate at each of the multiple water usage points;

[0034] Based on the water flow rate of the water supply point and the water flow rate of each of the multiple water usage points, the abnormal water usage time is determined.

[0035] During the abnormal water usage time, water quality data and location data for each of the multiple monitoring points are acquired.

[0036] By adopting the above technical solution, the system determines whether supply and demand are synchronized based on the water flow rate at the water supply point and the corresponding water flow rate at each of the multiple water usage points. If there is a significant difference between supply and demand, the abnormal water usage time is determined, and water quality data and location of multiple monitoring points are obtained at the abnormal water usage time. At the abnormal water usage time, the water quality in the water supply network may have changed significantly, so it is necessary to test the water quality in the water supply network. This allows for timely detection of potential anomalies in the water quality of the water supply network and improvement of the water quality in the water supply network.

[0037] In one possible implementation, determining abnormal water usage times based on the water flow rate at the water supply point and the water flow rates at multiple water usage points includes:

[0038] The real-time water consumption is determined based on the water flow rate corresponding to each of the multiple water points.

[0039] Determine whether the ratio of the real-time water consumption to the water flow rate at the water supply point is within a preset loss range;

[0040] If not, then obtain the water usage patterns corresponding to each of the multiple water usage points;

[0041] Based on the water usage patterns and flow rates of each of the multiple water usage points, the abnormal water usage times are determined.

[0042] By adopting the above technical solution, the real-time water consumption is determined based on the water flow rate corresponding to each of the multiple water consumption points, and it is determined whether the ratio between the real-time water consumption and the water flow rate at the water supply point is within the preset loss range. If not, abnormal water resource loss may occur in the water supply network. Furthermore, it is determined whether the water flow rate at each water consumption point is consistent with its water consumption pattern. If not, the abnormal water consumption time is determined, which can more accurately determine the time when water quality testing is required.

[0043] Secondly, this application provides a water pollution detection device, which adopts the following technical solution:

[0044] A water pollution detection device, comprising:

[0045] The monitoring information acquisition module is used to acquire water quality data and location corresponding to multiple monitoring points. The water quality data includes microbial content, residual chlorine content and particulate matter content.

[0046] The water quality anomaly area determination module is used to determine several water quality anomaly areas based on the water quality data and location of the multiple monitoring points.

[0047] The water pressure monitoring data acquisition module is used to acquire water pressure monitoring data corresponding to each of the several water quality abnormality areas. The water pressure monitoring data includes water pressure at multiple preset pressure measurement times corresponding to the water quality abnormality areas.

[0048] The water quality anomaly type determination module is used to determine the water quality anomaly type corresponding to each of the several water quality anomaly areas based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas.

[0049] By adopting the above technical solution, based on the water quality data and location of each monitoring point, several areas in the water supply network where water quality is abnormal are identified; then, the water pressure monitoring data of each water quality abnormality area is analyzed, and the cause of the water quality abnormality in the water supply network is determined by analyzing the trend of water pressure changes, thereby determining the type of water quality abnormality corresponding to each water quality abnormality area.

[0050] In one possible implementation, when the water quality anomaly area determination module determines several water quality anomaly areas based on the water quality data and locations corresponding to the multiple monitoring points, it is specifically used for:

[0051] Obtain the water usage type corresponding to each of the multiple monitoring points;

[0052] Based on the water quality data, location, and water usage type of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points;

[0053] Obtain water supply network information, which includes the functions, locations, model parameters, and operating parameters of each of the multiple devices included in the water supply network;

[0054] Based on the water supply network information and the locations of the various water quality anomaly points, several water quality anomaly areas are determined.

[0055] In one possible implementation, when the water quality anomaly area determination module determines several water quality anomaly points from the multiple monitoring points based on their respective water quality data, locations, and water usage types, it is specifically used for:

[0056] Based on the water quality data and location of each of the multiple monitoring points, the water quality stability and water activity of each of the multiple monitoring points are determined.

[0057] Obtain water quality assessment information, which includes water quality assessment standards corresponding to multiple water use types;

[0058] Based on the water quality assessment information and the water use type, location, water quality stability, and water activity of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points.

[0059] In one possible implementation, when the water quality anomaly area determination module determines several water quality anomaly areas based on the water supply network information and the locations corresponding to the several water quality anomaly points, it is specifically used for:

[0060] Based on the water supply network information and the locations of the several water quality anomaly points, the water flow velocity and direction corresponding to each of the several water quality anomaly points are determined.

[0061] Based on the location, flow velocity, and flow direction of each of the aforementioned water quality anomaly points, several water quality anomaly areas are determined.

[0062] In one possible implementation, when the water quality anomaly type determination module determines the water quality anomaly type corresponding to each of the plurality of water quality anomaly areas based on the water pressure monitoring data corresponding to each of the plurality of water quality anomaly areas, it is specifically used for:

[0063] Based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas, determine at least one time of abnormal water pressure change corresponding to the several water quality anomaly areas.

[0064] Obtain historical maintenance information corresponding to each of the aforementioned water quality anomaly areas, wherein the historical maintenance information includes the maintenance period and area;

[0065] Based on the historical maintenance information corresponding to each of the several water quality anomaly areas and at least one time of abnormal water pressure change, the water quality anomaly type corresponding to each of the several water quality anomaly areas is determined.

[0066] In one possible implementation, when the monitoring information acquisition module acquires the water quality data and location corresponding to multiple monitoring points, it is specifically used for:

[0067] Obtain the water flow rate at the water supply point and the water flow rate at each of the multiple water usage points;

[0068] Based on the water flow rate of the water supply point and the water flow rate of each of the multiple water usage points, the abnormal water usage time is determined.

[0069] During the abnormal water usage time, water quality data and location data for each of the multiple monitoring points are acquired.

[0070] In one possible implementation, when the monitoring information acquisition module determines the abnormal water usage time based on the water flow rate at the water supply point and the water flow rates at multiple water usage points, it is specifically used for:

[0071] The real-time water consumption is determined based on the water flow rate corresponding to each of the multiple water points.

[0072] Determine whether the ratio of the real-time water consumption to the water flow rate at the water supply point is within a preset loss range;

[0073] If not, then obtain the water usage patterns corresponding to each of the multiple water usage points;

[0074] Based on the water usage patterns and flow rates of each of the multiple water usage points, the abnormal water usage times are determined.

[0075] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0076] An electronic device comprising:

[0077] At least one processor;

[0078] Memory;

[0079] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform the above-described water pollution detection method.

[0080] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0081] A computer-readable storage medium includes: a computer program stored thereon that can be loaded by a processor and execute the above-described water pollution detection method.

[0082] In summary, this application includes at least one of the following beneficial technical effects:

[0083] 1. Based on the water quality data and location of each monitoring point, identify several areas within the water supply network where water quality is abnormal; then analyze the water pressure monitoring data of each abnormal water quality area, and determine the cause of the water quality abnormality within the water supply network by analyzing the trend of water pressure changes, thereby determining the type of water quality abnormality corresponding to each abnormal water quality area.

[0084] 2. Based on the different water use types and locations corresponding to each monitoring point, water quality evaluation standards are determined for each monitoring point. Then, based on the water quality evaluation standards and water quality data corresponding to each monitoring point, several water quality anomaly points are identified from multiple monitoring points, thus more accurately identifying the monitoring points with water quality anomalies. Based on the functions, locations, model parameters, and operating parameters of multiple devices within the water supply network, as well as the locations of several water quality anomaly points within the water supply network, several water quality anomaly areas are identified, thus more accurately identifying the water quality anomaly areas.

[0085] 3. Based on the location and water quality data of each monitoring point, determine the water quality stability and water activity corresponding to each monitoring point. Simultaneously, obtain water quality evaluation information, including water quality evaluation standards corresponding to multiple water use types. For each monitoring point, determine the corresponding water quality evaluation standard based on its water use type. Further subdivide the water quality evaluation standard based on the location of the monitoring point. Determine whether the water activity and water quality stability of the monitoring point meet the requirements. If not, the monitoring point is identified as a water quality anomaly. Analyzing the water quality of monitoring points in different locations and with different water use types using the corresponding evaluation standards allows for a more accurate identification of water quality anomalies. Attached Figure Description

[0086] Figure 1 This is a schematic flowchart of a water pollution detection method according to an embodiment of this application;

[0087] Figure 2 This is a schematic diagram of the structure of a water pollution detection device according to an embodiment of this application;

[0088] Figure 3 This is a schematic diagram of the structure of the electronic device in the embodiments of this application. Detailed Implementation

[0089] The following combination Figures 1-3 This application will be described in further detail.

[0090] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of this application.

[0091] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0092] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0093] This application provides a method for predicting water resource loss, executed by an electronic device, referring to... Figure 1 The method includes steps S101-S104, wherein:

[0094] Step S101: Obtain water quality data and location for each of the multiple monitoring points. The water quality data includes microbial content, residual chlorine content, and particulate matter content.

[0095] In this embodiment of the application, multiple monitoring points are set up in the water supply network, and each monitoring point is equipped with a water pollution detection method and equipment. The water pollution detection method and equipment can analyze the water quality at the corresponding monitoring point. The water quality analysis includes, but is not limited to, microbial analysis, residual chlorine analysis, and particulate matter analysis, thereby obtaining the water quality data corresponding to each of the multiple monitoring points. Among them, the microbial content can be the total content of all bacteria in the water, the content of each type of bacteria, or the content of a certain type of bacteria that is preset; particulate matter is one of the common pollutants in water, mainly including silt, clay, organic compounds, etc.; residual chlorine disinfection is the last safety guarantee process in conventional drinking water treatment processes, and the residual chlorine content will decrease over time, that is, the longer the water stays in the water supply network, the lower the corresponding residual chlorine content.

[0096] Furthermore, water quality data for each monitoring point can be acquired at preset intervals or at preset times. The water quality data includes the levels of organisms, residual chlorine, and particulate matter in the water at each moment within the preset time period. The preset time period can be 1 hour, 6 hours, or 12 hours prior to acquiring the water quality data, etc. The duration of the preset time period is not specifically limited in this embodiment. The locations of multiple monitoring points can be obtained from a database; alternatively, the locations of multiple monitoring points can be obtained using a positioning device installed at each monitoring point or a positioning device on the corresponding water pollution detection method device. The method of obtaining the monitoring point locations is not specifically limited in this embodiment.

[0097] Step S102: Based on the water quality data and location of each of the multiple monitoring points, identify several areas with abnormal water quality.

[0098] In this embodiment of the application, several monitoring points with abnormal water quality are identified based on the water quality data corresponding to each of the multiple monitoring points. For each monitoring point, the levels of microorganisms, residual chlorine, and particulate matter in the water at each time point in the water quality data of that monitoring point are determined to be within their respective preset ranges. If the level of any one of these parameters is outside its preset range, it can be determined that the water quality of the corresponding monitoring point may be abnormal. Furthermore, based on the location of each monitoring point with abnormal water quality, an abnormal water quality area is determined. The abnormal water quality area can include the area within a preset radius centered on the location of the monitoring point with abnormal water quality, or it can be determined based on the water flow direction within each water supply network to identify the area causing the abnormal water quality at the monitoring point.

[0099] Step S103: Obtain water pressure monitoring data corresponding to several water quality anomaly areas. The water pressure monitoring data includes the water pressure at multiple preset pressure measurement times corresponding to the water quality anomaly areas.

[0100] In this embodiment of the application, at least one water supply pipe is identified within each water quality anomaly area, and water pressure monitoring data for each water supply pipe is obtained. Each water supply pipe is equipped with a water pressure monitoring device, which can be used to obtain the corresponding water pressure monitoring data. The water pressure monitoring data includes the water pressure at multiple preset pressure measurement times monitored by each water pressure monitoring device within the corresponding water quality anomaly area.

[0101] Step S104: Based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas, determine the water quality anomaly type corresponding to each of the several water quality anomaly areas.

[0102] In this embodiment of the application, based on the water pressure monitoring data corresponding to several water quality anomaly areas, the water pressure change trend over time for each anomaly area is determined, i.e., the water pressure curve for the anomaly area. Water pressure change curves corresponding to various anomaly types are obtained from the database. For example, if the anomaly type is water quality anomaly caused by pipeline maintenance, its corresponding water pressure change curve shows that the water pressure decreases to 0 in a short period and then returns to normal after the maintenance period. In the case of water quality anomaly caused by pipeline maintenance, the pressure in the pipeline changes significantly in a short period, causing sediment or deposits in the pipeline network to merge with the water, thus leading to water quality anomalies. If the anomaly type is water quality anomaly caused by equipment damage, its corresponding water pressure change curve shows that the water pressure begins to decrease at a certain moment, and then stabilizes over time without returning to normal.

[0103] Furthermore, for each water quality anomaly area, the water pressure curve corresponding to the water quality anomaly is fitted with the water pressure change curve in the database, and then the water pressure change curve with the change trend most similar to the water pressure curve is determined, where the anomaly type corresponding to the water pressure change curve is the anomaly type of the corresponding water quality anomaly area.

[0104] Based on the water quality data and location of each monitoring point, several areas within the water supply network exhibiting abnormal water quality were identified. Then, the water pressure monitoring data for each abnormal area was analyzed. By analyzing the trends in water pressure changes, the causes of the water quality abnormalities within the water supply network were determined, thus identifying the type of water quality abnormality corresponding to each area.

[0105] Furthermore, based on the water quality data and locations of multiple monitoring points, several water quality anomaly areas are identified, including steps S1021 (not shown in the figure) to S1024 (not shown in the figure), wherein:

[0106] Step S1021: Obtain the water usage type corresponding to each of the multiple monitoring points.

[0107] Specifically, the water usage type corresponding to each of the multiple monitoring points can be obtained from the database. The water usage type can be determined based on the water supply points and water usage points connected to the water supply pipeline corresponding to the monitoring point, or based on the connection relationship between the water supply pipeline corresponding to the monitoring point and other water supply pipelines within the water supply network. Water usage types include, but are not limited to, drinking water, domestic water, and reclaimed water.

[0108] Step S1022: Based on the water quality data, location and water use type of each of the multiple monitoring points, identify several water quality anomaly points from the multiple monitoring points.

[0109] Specifically, for each monitoring point, corresponding water quality requirements are determined based on its location and water usage type. These requirements include specific requirements for microbial content, residual chlorine content, and particulate matter content. The closer the monitoring point is to the water supply point or the higher the priority of the water usage type, the higher the corresponding water quality requirements. For example, if monitoring point A uses drinking water, it has a high priority; if it uses reclaimed water, it has a lower priority. The system then determines whether the water quality data for that monitoring point meets the requirements. If not, the monitoring point is identified as a water quality anomaly.

[0110] Step S1023: Obtain water supply network information, which includes the functions, locations, model parameters, and operating parameters of each of the multiple devices included in the water supply network.

[0111] Specifically, the equipment included in the water supply network includes, but is not limited to, water supply pipes, water inlets, water outlets, valves, fire hydrants, vent valves, air release valves, flushing and drain valves, pressure reducing valves, flow regulating valves, water hammer eliminators, maintenance manholes, expansion joints, slag hoppers, and flow and pressure measuring devices. The water supply network information can be obtained from a database or from manually input equipment information. This application embodiment does not specify the method of obtaining the water supply network information.

[0112] Step S1024: Based on the water supply network information and the locations of several water quality anomaly points, determine several water quality anomaly areas.

[0113] Specifically, based on the water supply network information, the water flow direction and standard flow velocity in each water supply pipe within the network are determined. Then, combined with the location of each water quality anomaly point, at least one water supply pipe, valve, or other device causing the anomaly at each point is identified. Furthermore, based on the determined location of each water supply pipe and valve within the network, several water quality anomaly areas are identified. A higher water flow velocity at the location of an anomaly point may result in a closer proximity between the anomaly point and the affected area; conversely, a lower flow velocity may result in a greater distance between the affected area and the anomaly point.

[0114] Based on the different water use types and locations corresponding to each monitoring point, water quality evaluation standards are determined for each monitoring point. Then, based on the water quality evaluation standards and water quality data corresponding to each monitoring point, several water quality anomaly points are identified from multiple monitoring points, thus more accurately identifying the monitoring points with water quality anomalies. Based on the functions, locations, model parameters, and operating parameters of multiple devices within the water supply network, as well as the locations of several water quality anomaly points within the water supply network, several water quality anomaly areas are identified, thus more accurately identifying the water quality anomaly areas.

[0115] Furthermore, based on the water quality data, location, and water usage type of each monitoring point, several water quality anomaly points are identified from the multiple monitoring points, including steps SA1 (not shown in the figure) to SA3 (not shown in the figure), wherein:

[0116] Step SA1: Based on the water quality data and location of each of the multiple monitoring points, determine the water quality stability and water activity of each of the multiple monitoring points.

[0117] Specifically, based on the location of each monitoring point, multiple sets of water quality data are determined. Each set of water quality data includes data from two adjacent monitoring points. For two adjacent monitoring points, water is transported from one monitoring point A to the other monitoring point B according to the water flow direction within the water supply pipeline, without passing through any other monitoring points during the flow. Based on the water quality data from monitoring points A and B, the changes in the content of microorganisms, residual chlorine, and particulate matter in the water are determined, thus determining the water quality stability of monitoring point B. For monitoring points directly adjacent to the water supply point, the water quality data of the water supply point is obtained. Based on the water quality data from both the water supply point and the monitoring points, the changes in the content of microorganisms, residual chlorine, and particulate matter in the water are determined, thereby determining the water quality stability of the monitoring points adjacent to the water supply point. The microbial content, particulate matter content, and residual chlorine content of each monitoring point are analyzed separately to determine the water activity of each monitoring point. Water activity is used to characterize the freshness of the water within the corresponding monitoring point. The lower the microbial content, the lower the particulate matter content, and the closer the residual chlorine content is to the preset value, the higher the water activity.

[0118] Step SA2: Obtain water quality assessment information, which includes water quality assessment standards corresponding to multiple water use types.

[0119] Specifically, the water quality assessment information includes water quality assessment standards corresponding to multiple water use types. The water quality assessment standards for different water use types may be the same or different. The water quality assessment standards include the acceptable standard ranges for water quality stability and water quality activity.

[0120] Step SA3: Based on water quality assessment information and the water use type, location, water quality stability and activity of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points.

[0121] Specifically, for each monitoring point, the corresponding water quality evaluation standard is determined based on the water use type and water quality assessment information. Taking into account the location of the monitoring point, the corresponding water quality compliance standard range is further subdivided to determine the standard evaluation range for that monitoring point. Since the degree of influence on water quality within the water supply network varies depending on the location of each monitoring point, the closer the monitoring point is to the water supply point, the higher the corresponding water quality evaluation standard. Then, based on the water quality stability and activity at that monitoring point, it is determined whether it meets the standard evaluation area. Monitoring points that do not meet the requirements are identified as water quality anomalies.

[0122] Based on the location and water quality data of each monitoring point, the water quality stability and water activity corresponding to each monitoring point are determined. Simultaneously, water quality assessment information is obtained, including water quality assessment standards corresponding to multiple water use types. For each monitoring point, the corresponding water quality assessment standard is determined based on its water use type. Furthermore, the water quality assessment standard is further subdivided based on the location of the monitoring point. Based on the water activity and water quality stability of the monitoring point, it is determined whether the requirements are met. If not, the monitoring point is identified as a water quality anomaly. Analyzing the water quality of monitoring points in different locations and with different water use types using corresponding assessment standards allows for a more accurate identification of water quality anomalies.

[0123] Furthermore, based on the water supply network information and the locations of several water quality anomaly points, several water quality anomaly areas are identified, including steps SB1 (not shown in the figure) - SB2 (not shown in the figure), wherein:

[0124] Step SB1: Based on the water supply network information and the locations of several water quality anomaly points, determine the water flow velocity and direction corresponding to each of the several water quality anomaly points;

[0125] Step SB2: Based on the location, flow velocity, and flow direction of each of the several water quality anomaly points, determine several water quality anomaly areas.

[0126] Specifically, based on the water supply network information and the locations of several water quality anomaly points, the water flow velocity and direction of each water quality anomaly point are determined, and the influence range of the water quality anomaly is determined according to the water flow velocity and direction, thereby enabling a more accurate identification of the water quality anomaly area.

[0127] Furthermore, based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas, the water quality anomaly types corresponding to each of the several water quality anomaly areas are determined, including steps S1041 (not shown in the figure) - S1043 (not shown in the figure), wherein:

[0128] Step S1041: Based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas, determine at least one time of abnormal water pressure change corresponding to the several water quality anomaly areas.

[0129] Specifically, for each water quality anomaly area, based on the water pressure monitoring data corresponding to that water quality anomaly area, the water pressure change rate of that water quality anomaly point at each time point within a preset time period can be determined. If the water pressure change rate is greater than the preset change rate, then the corresponding time point is determined as the time of water pressure anomaly change.

[0130] Step S1042: Obtain historical maintenance information corresponding to several water quality abnormality areas. The historical maintenance information includes the maintenance time period and area.

[0131] Step S1043: Based on the water pressure monitoring data, historical maintenance information and at least one time of abnormal water pressure change corresponding to each of the several water quality abnormal areas, determine the water quality abnormality type corresponding to each of the several water quality abnormal areas.

[0132] Specifically, for each area with abnormal water quality, based on historical maintenance information, the maintenance period for that area is determined. It is then determined whether at least one abnormal water pressure change occurred within that maintenance period. If so, the water quality anomaly type is determined to be a maintenance-related water quality anomaly. If not, the trend of water pressure changes is determined based on the water pressure monitoring data for that area, and the water quality anomaly type is further determined based on this trend.

[0133] Based on the water pressure monitoring data of each water quality anomaly area, at least one time of abnormal water pressure change is determined for each water quality anomaly area; by using the historical maintenance data corresponding to each water quality anomaly area, it is determined whether the time of abnormal water pressure change for the water quality anomaly area is within the maintenance period, thereby determining the corresponding water quality anomaly type. By analyzing and judging the time of abnormal water pressure change, the water quality anomaly type can be determined more accurately.

[0134] Further, water quality data and locations corresponding to multiple monitoring points are acquired, including steps S1011 (not shown in the figure) - S1013 (not shown in the figure), wherein:

[0135] Step S1011: Obtain the water flow rate at the water supply point and the water flow rate at each of the multiple water usage points;

[0136] Step S1012: Determine the abnormal water usage time based on the water flow rate at the water supply point and the water flow rate corresponding to each of the multiple water usage points;

[0137] Step S1013: Obtain water quality data and location corresponding to multiple monitoring points at abnormal water usage times.

[0138] Specifically, the system acquires real-time water flow data for each water supply point and the corresponding water flow data for multiple water usage points. For each water usage point or water supply point, the real-time water flow is compared with its historical water flow at the same time. If the difference between the real-time and historical water flow data for any water usage point or water supply point is outside the error range, the corresponding time is determined as an abnormal water usage time. Alternatively, the total water consumption at the current time can be determined based on the water flow data for each water usage point. The difference between the total water consumption and the water flow data at the water supply points is then determined and assessed to see if it falls within the error range. If not, the current time is determined as an abnormal water usage time. Furthermore, at abnormal water usage times, the system acquires the corresponding water quality data and location for each water usage point. Since the water quality within the water supply network may have changed significantly at abnormal water usage times, it is necessary to test the water quality within the water supply network and determine the possible causes of the water quality anomaly.

[0139] Based on the water flow rate at the water supply point and the corresponding water flow rate at multiple water usage points, it is determined whether the supply and demand are synchronized. If there is a significant difference between supply and demand, the abnormal water usage time is identified. At the abnormal water usage time, the water quality data and location of multiple monitoring points are obtained. At the abnormal water usage time, the water quality in the water supply network may have changed significantly. Therefore, it is necessary to test the water quality in the water supply network to detect potential anomalies in a timely manner and improve the water quality of the water body in the water supply network.

[0140] Furthermore, to more accurately determine the timing of abnormal water usage, in this embodiment of the application, the timing of abnormal water usage is determined based on the water flow rate at the water supply point and the water flow rate corresponding to each of the multiple water usage points, including:

[0141] Real-time water consumption is determined based on the water flow rate corresponding to each of the multiple water usage points.

[0142] Determine whether the ratio of real-time water consumption to water flow rate at the water supply point is within the preset loss range;

[0143] If not, then obtain the water usage patterns corresponding to each of the multiple water usage points;

[0144] Based on the water usage patterns and flow rates of multiple water usage points, abnormal water usage times are determined.

[0145] Specifically, based on the water flow rate corresponding to each of the multiple water usage points, the real-time water consumption of all water usage points at the current moment is determined, and it is judged whether the difference between the real-time water consumption of all water usage points and the water flow rate of the water supply point is within a preset loss range. Water will incur certain losses during transportation in the water supply network, where the preset loss range can be 95%-100%. This embodiment of the application does not specifically limit the range of the preset loss range. If it is not within the preset loss range, then based on the water usage pattern and water flow rate of each water usage point, it is judged whether there is an anomaly in the water usage at each water usage point. If so, the current moment is determined to be an abnormal water usage moment.

[0146] Based on the water flow rate corresponding to each of the multiple water usage points, the real-time water consumption is determined, and it is judged whether the ratio between the real-time water consumption and the water flow rate at the water supply point is within the preset loss range. If not, abnormal water resource loss may occur in the water supply network. Furthermore, it is judged whether the water flow rate at each water usage point is consistent with its water consumption pattern. If not, the abnormal water consumption time is determined, which can more accurately determine the time when water quality testing is required.

[0147] The above embodiments describe a method for detecting water pollution from the perspective of process flow. The following embodiments describe a device for detecting water pollution from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0148] This application provides a device for detecting water pollution, such as... Figure 2 As shown, the water pollution detection device may specifically include a monitoring information acquisition module 201, a water quality anomaly area determination module 202, a water pressure monitoring data acquisition module 203, and a water quality anomaly type determination module 204, wherein:

[0149] The monitoring information acquisition module 201 is used to acquire water quality data and location corresponding to multiple monitoring points. The water quality data includes microbial content, residual chlorine content and particulate matter content.

[0150] The water quality anomaly area determination module 202 is used to determine several water quality anomaly areas based on the water quality data and location of multiple monitoring points.

[0151] The water pressure monitoring data acquisition module 203 is used to acquire water pressure monitoring data corresponding to several water quality anomaly areas. The water pressure monitoring data includes the water pressure at multiple preset pressure measurement times corresponding to the water quality anomaly areas.

[0152] The water quality anomaly type determination module 204 is used to determine the water quality anomaly type corresponding to each of the several water quality anomaly areas based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas.

[0153] By adopting the above technical solution, based on the water quality data and location of each monitoring point, several areas in the water supply network where water quality is abnormal are identified; then, the water pressure monitoring data of each water quality abnormality area is analyzed, and the cause of the water quality abnormality in the water supply network is determined by analyzing the trend of water pressure changes, thereby determining the type of water quality abnormality corresponding to each water quality abnormality area.

[0154] In one possible implementation, when the water quality anomaly area determination module 202 determines several water quality anomaly areas based on the water quality data and locations corresponding to multiple monitoring points, it is specifically used for:

[0155] Obtain the water usage type corresponding to each of the multiple monitoring points;

[0156] Based on the water quality data, location, and water use type of each monitoring point, several water quality anomaly points were identified from the multiple monitoring points.

[0157] Obtain water supply network information, which includes the functions, locations, model parameters, and operating parameters of each of the multiple devices included in the water supply network;

[0158] Based on the water supply network information and the locations of several water quality anomaly points, several water quality anomaly areas were identified.

[0159] In one possible implementation, when the water quality anomaly area determination module 202 determines several water quality anomaly points from multiple monitoring points based on their respective water quality data, locations, and water usage types, it is specifically used for:

[0160] Based on the water quality data and location of multiple monitoring points, the water quality stability and water activity of each monitoring point are determined.

[0161] Obtain water quality assessment information, which includes water quality assessment standards corresponding to various water use types.

[0162] Based on water quality assessment information and the water use type, location, water quality stability, and water activity of each monitoring point, several water quality anomalies were identified from multiple monitoring points.

[0163] In one possible implementation, when the water quality anomaly area determination module 202 determines several water quality anomaly areas based on water supply network information and the locations corresponding to several water quality anomaly points, it is specifically used for:

[0164] Based on the water supply network information and the locations of several water quality anomaly points, the water flow velocity and direction corresponding to each of the several water quality anomaly points are determined.

[0165] Based on the location, flow velocity, and flow direction of several water quality anomaly points, several water quality anomaly areas are identified.

[0166] In one possible implementation, when the water quality anomaly type determination module 204 determines the water quality anomaly type corresponding to each of the several water quality anomaly areas based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas, it is specifically used for:

[0167] Based on the water pressure monitoring data corresponding to several water quality anomaly areas, determine at least one time of abnormal water pressure change corresponding to several water quality anomaly areas.

[0168] Obtain historical maintenance information for several areas with abnormal water quality, including the time period and area of ​​maintenance.

[0169] Based on the historical maintenance information corresponding to each of the several water quality anomaly areas and at least one time of abnormal water pressure change, the water quality anomaly type corresponding to each of the several water quality anomaly areas is determined.

[0170] In one possible implementation, when the monitoring information acquisition module 201 acquires the water quality data and location corresponding to multiple monitoring points, it is specifically used for:

[0171] Obtain the water flow rate at the water supply point and the water flow rate at each of the multiple water usage points;

[0172] Based on the water flow rate at the water supply point and the water flow rate at each of the multiple water usage points, the abnormal water usage time is determined.

[0173] During periods of abnormal water usage, water quality data and locations of multiple monitoring points are acquired.

[0174] In one possible implementation, when the monitoring information acquisition module 201 determines abnormal water usage times based on the water flow rate at the water supply point and the water flow rate corresponding to each of the multiple water usage points, it is specifically used for:

[0175] Real-time water consumption is determined based on the water flow rate corresponding to each of the multiple water usage points.

[0176] Determine whether the ratio of real-time water consumption to water flow rate at the water supply point is within the preset loss range;

[0177] If not, then obtain the water usage patterns corresponding to each of the multiple water usage points;

[0178] Based on the water usage patterns and flow rates of multiple water usage points, abnormal water usage times are determined.

[0179] This application provides an electronic device, such as... Figure 3 As shown, Figure 3The illustrated electronic device 300 includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device 300 does not constitute a limitation on the embodiments of this application.

[0180] 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 can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0181] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0182] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0183] The memory 303 is used to store application code that executes the solution of this application, and its 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 content shown in the foregoing method embodiments.

[0184] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0185] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0186] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0187] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for detecting water pollution, characterized in that, include: Acquire water quality data and locations for multiple monitoring points, including microbial content, residual chlorine content, and particulate matter content; Based on the water quality data and location of each of the multiple monitoring points, several areas with abnormal water quality were identified. Obtain water pressure monitoring data corresponding to each of the several water quality anomaly areas, wherein the water pressure monitoring data includes water pressure at multiple preset pressure measurement times corresponding to the water quality anomaly areas; Based on the water pressure monitoring data corresponding to each of the aforementioned water quality anomaly areas, the water quality anomaly type corresponding to each of the aforementioned water quality anomaly areas is determined. Based on the water quality data and location of each of the multiple monitoring points, several areas of abnormal water quality are identified, including: Obtain the water usage type corresponding to each of the multiple monitoring points; Based on the water quality data, location, and water usage type of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points; Obtain water supply network information, which includes the functions, locations, model parameters, and operating parameters of each of the multiple devices included in the water supply network; Based on the water supply network information and the locations corresponding to the various water quality anomaly points, several water quality anomaly areas are determined. Based on the water quality data, location, and water usage type of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points, including: Based on the water quality data and location of each of the multiple monitoring points, the water quality stability and water activity of each of the multiple monitoring points are determined. Obtain water quality assessment information, which includes water quality assessment standards corresponding to multiple water use types; Based on the water quality assessment information and the water use type, location, water quality stability and water activity of each of the multiple monitoring points, several water quality anomaly points are identified from the multiple monitoring points. Based on the water supply network information and the locations corresponding to the various water quality anomaly points, several water quality anomaly areas are determined, including: Based on the water supply network information and the locations of the several water quality anomaly points, the water flow velocity and direction corresponding to each of the several water quality anomaly points are determined. Based on the location, flow velocity, and flow direction of each of the aforementioned water quality anomaly points, several water quality anomaly areas are determined.

2. The water pollution detection method according to claim 1, characterized in that, The determination of the water quality anomaly type corresponding to each of the plurality of water quality anomaly areas based on the water pressure monitoring data corresponding to each of the plurality of water quality anomaly areas includes: Based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas, determine at least one time of abnormal water pressure change corresponding to the several water quality anomaly areas. Obtain historical maintenance information corresponding to each of the aforementioned water quality anomaly areas, wherein the historical maintenance information includes the maintenance period and area; Based on the historical maintenance information corresponding to each of the several water quality anomaly areas and at least one time of abnormal water pressure change, the water quality anomaly type corresponding to each of the several water quality anomaly areas is determined.

3. The water pollution detection method according to claim 1, characterized in that, The acquisition of water quality data and location corresponding to multiple monitoring points includes: Obtain the water flow rate at the water supply point and the water flow rate at each of the multiple water usage points; Based on the water flow rate of the water supply point and the water flow rate of each of the multiple water usage points, the abnormal water usage time is determined. During the abnormal water usage time, water quality data and location data for each of the multiple monitoring points are acquired.

4. The water pollution detection method according to claim 3, characterized in that, The determination of abnormal water usage times based on the water flow rate at the water supply point and the water flow rate at each of the multiple water usage points includes: The real-time water consumption is determined based on the water flow rate corresponding to each of the multiple water points. Determine whether the ratio of the real-time water consumption to the water flow rate at the water supply point is within a preset loss range; If not, then obtain the water usage patterns corresponding to each of the multiple water usage points; Based on the water usage patterns and flow rates of each of the multiple water usage points, the abnormal water usage times are determined.

5. A water pollution detection device, characterized in that, Performing the water pollution detection method as described in any one of claims 1-4 includes: The monitoring information acquisition module is used to acquire water quality data and location corresponding to multiple monitoring points. The water quality data includes microbial content, residual chlorine content and particulate matter content. The water quality anomaly area determination module is used to determine several water quality anomaly areas based on the water quality data and location of the multiple monitoring points. The water pressure monitoring data acquisition module is used to acquire water pressure monitoring data corresponding to each of the several water quality abnormality areas. The water pressure monitoring data includes water pressure at multiple preset pressure measurement times corresponding to the water quality abnormality areas. The water quality anomaly type determination module is used to determine the water quality anomaly type corresponding to each of the several water quality anomaly areas based on the water pressure monitoring data corresponding to each of the several water quality anomaly areas.

6. An electronic device, 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 memory and configured to be executed by at least one processor, the at least one application being configured to: perform the water pollution detection method according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, include: The system contains a computer program that can be loaded by a processor and executed as described in any one of claims 1-4 for detecting water pollution.

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