Pipe network operation risk monitoring method and system of urban drainage system

Abstract

The invention relates to a pipe network operation risk monitoring method and system for an urban drainage system, and the method comprises the steps: obtaining a pipe network distribution drawing of the urban drainage system, carrying out the key site analysis, carrying out the pipe network topology through a key site analysis result and the corresponding pipe network distribution, and obtaining a pipe network topological relation of the urban drainage system, acquiring real-time monitoring data of each key site, analyzing the operation change trend of all key sites of the same drainage event in combination with a pipe network topological relation to obtain a site operation association relation of the pipe network, acquiring historical risk parameters of each key site, and calculating the risk parameters of each key site; and performing data training on the historical risk parameters according to the site operation association relationship, constructing a pipe network risk monitoring model of the urban drainage system, obtaining external environment change parameters of the urban drainage system, and inputting the external environment change parameters into the pipe network risk monitoring model for risk analysis to obtain pipe network operation risk monitoring data. The method and the device have the effect of improving the accuracy of pipe network risk monitoring.

Description

Technical Field

[0001] The present application relates to the technical field of pipe network management, and in particular to a method and system for monitoring pipe network operation risks of an urban drainage system. Background Art

[0002] At present, when facing severe weather such as typhoons and rainstorms, untimely drainage of urban drainage systems can easily cause urban waterlogging, sewage overflow, water environment pollution, etc. The drainage network, as the core part of the drainage system, plays an important role in urban environmental protection and drainage safety. Therefore, it is necessary to further monitor the operation of the network.

[0003] The existing pipeline operation monitoring method usually collects the water level of the pipeline network through water level monitoring meters installed at different drainage outlets, and after the water level exceeds the preset value, the monitoring personnel manually check the water level and perform dredging work. However, in severe weather such as typhoons and rainstorms, the monitoring personnel go to the site to conduct water level risk inspections and dredge the water, which is not only likely to affect the personal safety of the monitoring personnel, but also the risk analysis combined with on-site observations is also easily affected by the subjective influence of the monitoring personnel. Further verification is required for accurate dredging, which wastes a lot of manpower. Therefore, it is necessary to further optimize the pipeline risk monitoring method of the urban drainage system. Summary of the invention

[0004] In order to improve the accuracy of pipe network risk monitoring and further enhance the intelligent management of urban drainage systems, the present application provides a pipe network operation risk monitoring method and system for an urban drainage system.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for monitoring pipe network operation risk of an urban drainage system, comprising: Obtaining a pipe network distribution drawing of the urban drainage system, performing a key site analysis on the pipe network distribution drawing, performing a pipe network topology based on the key site analysis results and the corresponding pipe network distribution, and obtaining a pipe network topology relationship of the urban drainage system; Obtain real-time monitoring data for each key site, and analyze the operation change trends of all key sites of the same drainage event in combination with the topological relationship of the pipe network to obtain the site operation correlation relationship of the pipe network; Obtain the historical risk parameters of each key site, perform data training on the historical risk parameters according to the site operation association relationship, and build a pipe network risk monitoring model for the urban drainage system based on the training results; The external environment change parameters of the urban drainage system are obtained, and the external environment change parameters are input into the pipe network risk monitoring model for risk analysis to obtain the pipe network operation risk monitoring data of the urban drainage system.

[0006] By adopting the above technical scheme, the key drainage sites are analyzed according to the network distribution drawings of the urban drainage system, and the network topology is carried out in combination with the network distribution, which is helpful for detailed monitoring of the network topology, and the operation change trends of all key sites related to the same drainage event are analyzed in combination with the real-time monitoring data of each key site, so as to analyze the operation correlation between different key sites, which is helpful to improve the correlation of different key sites when dealing with drainage events, and combine the historical risk parameters of each key site for data training, which is helpful to more conveniently and intelligently evaluate the operation risk of each drainage event through the network risk monitoring model, and analyze the critical drainage threshold of the current network when dealing with external environmental changes in combination with the external environment change parameters, and then evaluate the corresponding drainage risk, and analyze the network drainage risk in combination with multiple risk influencing factors, which is helpful to improve the accuracy of network risk monitoring and further improve the intelligent management of urban drainage systems.

[0007] In a preferred example, the present application can be further configured as follows: the external environment change parameters of the urban drainage system are obtained, and the external environment change parameters are input into the pipe network risk monitoring model for risk analysis to obtain the pipe network operation risk monitoring data of the urban drainage system, specifically including: Obtaining external environmental change parameters of the urban drainage system, performing drainage trend analysis on the external environmental change parameters, evaluating the maximum drainage capacity of the pipe network according to the drainage trend analysis results, and obtaining critical drainage parameters of the pipe network; When the external environment change parameter exceeds the critical parameter of the pipe network discharge, the risk location that exceeds the critical parameter of the pipe network discharge is marked, and the marked risk location is checked for abnormalities; The risk anomaly parameters of the risk site are obtained, and the accumulated water at the risk site is diverted according to the remaining drainage space of all connected pipes at the risk site to obtain the pipe network operation risk monitoring data of the urban drainage system.

[0008] By adopting the above technical solution and analyzing the pipeline drainage trend in combination with the external environmental change parameters of the urban drainage system, it is helpful to judge the maximum drainage capacity of the current pipeline and whether the external changes are within the maximum drainage capacity, and then accurately evaluate the critical value of pipeline drainage in the current drainage event. When the external environmental change parameters exceed the critical parameters of pipeline drainage, the risk sites that exceed the critical parameters of pipeline network drainage are marked, and abnormalities are checked according to abnormal indicators, which helps to reduce the workload of monitoring personnel and intervene in risk sites in a timely manner. In addition, the risk abnormal parameters of the risk sites and the remaining drainage space of all connected pipes at the risk sites are combined to divert the accumulated water at the risk sites, which helps to improve the rationality of pipeline diversion.

[0009] In a preferred example, the present application can be further configured as follows: the historical risk parameters of each key site are obtained, data training is performed on the historical risk parameters according to the site operation association relationship, and a pipe network risk monitoring model of the urban drainage system is constructed according to the training results, specifically including: Obtain the historical risk data of each key point in the pipeline network, analyze the historical risk maximum threshold and the corresponding historical risk diversion path corresponding to each historical risk event, and obtain the historical effective diversion data of each key point in the pipeline network; The historical effective diversion data and the site operation association relationship are used to perform site operation data fitting training, and a pipe network risk monitoring model for the urban drainage system is constructed based on the fitting results.

[0010] By adopting the above technical solution, the historical risk data of each key point in the pipeline network is obtained, and the historical risk maximum threshold and the corresponding historical risk diversion path corresponding to each historical risk event are analyzed, which helps to evaluate the risk level of each historical risk and the corresponding diversion effectiveness, and then screen out effective diversion measures for key points, improve the diversion intelligence of key points, and combine the site operation correlation relationship to perform data fitting on the operation data of each site and the screened historical effective diversion data, so as to construct a pipeline network risk monitoring model based on the fitting results, which helps to improve the intelligence of pipeline drainage risk analysis of urban drainage systems.

[0011] In a preferred example, the present application can be further configured as follows: the real-time monitoring data of each key point is obtained, and the operation change trend of all key points of the same drainage event is analyzed in combination with the pipe network topology relationship to obtain the point operation correlation relationship of the pipe network, specifically including: Acquire real-time monitoring data of each key site, evaluate the drainage capacity of each key site according to the real-time monitoring data, and obtain unit site risk assessment data; According to the pipe network topology and the unit point risk assessment data, an operation change trend analysis is performed on all key sites in the same drainage event to obtain site operation trend data; According to the site operation trend data, diversion paths are planned for sites with the same flow direction trend, and site operation associations of the pipeline network are constructed according to the diversion path planning results.

[0012] By adopting the above technical solution, combined with the real-time detection data of each key site, the drainage capacity of each key site is evaluated, which helps to improve the timeliness of risk monitoring at each site, and according to the pipeline network topology relationship and unit point risk assessment data, the operation change trend of all key sites in the same drainage event is analyzed to improve the accuracy of site operation trend analysis, and the sites with the same flow trend are classified according to the site operation trend and the diversion path is planned, thereby constructing the site operation association relationship, which helps to improve the orderliness of diversion between sites.

[0013] In a preferred example, the present application can be further configured as follows: the pipe network distribution drawing of the urban drainage system is obtained, key site analysis is performed on the pipe network distribution drawing, and pipe network topology is performed based on the key site analysis result and the corresponding pipe network distribution, so as to obtain the pipe network topology relationship of the urban drainage system, specifically including: Obtaining a pipe network distribution drawing of the urban drainage system and real-time drainage data of each pipe network, analyzing the blockage status of each pipe network based on the real-time drainage data, and obtaining pipeline operation data; The key drainage points in the pipe network distribution are analyzed and located according to the pipeline operation data, and the pipe network topology is processed in combination with the operation pipe network distribution status associated with each key point to obtain the pipe network topology relationship of the urban drainage system.

[0014] By adopting the above technical solution, the blockage status of each pipeline network is analyzed according to the pipeline distribution diagram of the urban drainage system and the real-time drainage data of each pipeline network, which helps to clear the blockage of each pipeline in time, and locate the key drainage points in the pipeline network distribution in combination with the pipeline network operation data, and perform pipeline network topology processing according to the positioning results and the pipeline network distribution status, which helps to improve the analysis accuracy of the pipeline network topology relationship.

[0015] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions: A pipe network operation risk monitoring system for an urban drainage system, comprising: A data acquisition module is used to obtain a pipe network distribution drawing of an urban drainage system, perform key site analysis on the pipe network distribution drawing, perform pipe network topology based on the key site analysis results and the corresponding pipe network distribution, and obtain the pipe network topology relationship of the urban drainage system; The data analysis module is used to obtain the real-time monitoring data of each key site, and analyze the operation change trend of all key sites of the same drainage event in combination with the topological relationship of the pipe network to obtain the site operation correlation relationship of the pipe network; A model building module is used to obtain the historical risk parameters of each key site, perform data training on the historical risk parameters according to the site operation association relationship, and build a pipe network risk monitoring model for the urban drainage system based on the training results; The risk monitoring module is used to obtain the external environment change parameters of the urban drainage system, input the external environment change parameters into the pipe network risk monitoring model for risk analysis, and obtain the pipe network operation risk monitoring data of the urban drainage system.

[0016] By adopting the above technical scheme, the key drainage sites are analyzed according to the network distribution drawings of the urban drainage system, and the network topology is carried out in combination with the network distribution, which is helpful for detailed monitoring of the network topology, and the operation change trends of all key sites related to the same drainage event are analyzed in combination with the real-time monitoring data of each key site, so as to analyze the operation correlation between different key sites, which is helpful to improve the correlation of different key sites when dealing with drainage events, and combine the historical risk parameters of each key site for data training, which is helpful to more conveniently and intelligently evaluate the operation risk of each drainage event through the network risk monitoring model, and analyze the critical drainage threshold of the current network when dealing with external environmental changes in combination with the external environment change parameters, and then evaluate the corresponding drainage risk, and analyze the network drainage risk in combination with multiple risk influencing factors, which is helpful to improve the accuracy of network risk monitoring and further improve the intelligent management of urban drainage systems.

[0017] On the third aspect, the above-mentioned purpose of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for monitoring the pipe network operation risk of the urban drainage system are implemented.

[0018] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for monitoring pipe network operation risks of an urban drainage system.

[0019] In summary, the present application includes at least one of the following beneficial technical effects: 1. Analyze the key drainage sites according to the network distribution drawings of the urban drainage system, and conduct network topology in combination with the network distribution, which is helpful for detailed monitoring of the network topology. In combination with the real-time monitoring data of each key site, analyze the operation change trends of all key sites related to the same drainage event, so as to analyze the operation correlation between different key sites, which is helpful to improve the correlation of different key sites when dealing with drainage events. In combination with the historical risk parameters of each key site, data training is carried out, which is helpful to more conveniently and intelligently evaluate the operation risk of each drainage event through the network risk monitoring model, and analyze the critical drainage threshold of the current network when dealing with external environmental changes in combination with external environmental change parameters, and then evaluate the corresponding drainage risk. Analyze the drainage risk of the network in combination with multiple risk influencing factors, which is helpful to improve the accuracy of network risk monitoring and further improve the intelligent management of urban drainage systems. 2. Analyzing the pipeline drainage trend in combination with the external environmental change parameters of the urban drainage system is helpful to determine the maximum drainage capacity of the current pipeline and whether the external changes are within the maximum drainage capacity, and then accurately evaluate the critical value of pipeline drainage in the current drainage event. When the external environmental change parameters exceed the critical parameters of pipeline drainage, the risk sites that exceed the critical parameters of pipeline network drainage are marked, and abnormalities are checked according to abnormal indicators, which helps to reduce the workload of monitoring personnel, timely intervene in risk sites, and combine the risk abnormal parameters of risk sites and the remaining drainage space of all connected pipes at risk sites to divert the accumulated water at risk sites, which helps to improve the rationality of pipeline diversion; 3. Obtain the historical risk data of each key point in the pipeline network, analyze the historical risk maximum threshold and the corresponding historical risk diversion path corresponding to each historical risk event, which will help to evaluate the risk level of each historical risk and the corresponding diversion effectiveness, and then screen out effective diversion measures for key points, improve the diversion intelligence of key points, and combine the site operation correlation relationship to fit the data of each site operation data with the screened historical effective diversion data, so as to construct a pipeline network risk monitoring model based on the fitting results, which will help to improve the intelligence of pipeline drainage risk analysis of urban drainage systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a flow chart for implementing a method for monitoring pipe network operation risks of an urban drainage system according to this embodiment.

[0021] Figure 2 This is a flowchart for implementing step S10 of a method for monitoring pipe network operation risks of an urban drainage system in this embodiment.

[0022] Figure 3This is a flowchart for implementing step S20 of a method for monitoring pipe network operation risks of an urban drainage system in this embodiment.

[0023] Figure 4 This is a flowchart for implementing step S30 of a method for monitoring pipe network operation risks of an urban drainage system in this embodiment.

[0024] Figure 5 This is a flowchart for implementing step S40 of a method for monitoring pipe network operation risks of an urban drainage system in this embodiment.

[0025] Figure 6 This is a structural block diagram of a pipe network operation risk monitoring system for an urban drainage system in this embodiment.

[0026] Figure 7 It is a schematic diagram of the internal structure of a computer device used to implement a pipeline network operation risk monitoring method. DETAILED DESCRIPTION

[0027] The present application is further described in detail below in conjunction with the accompanying drawings.

[0028] In one embodiment, if Figure 1 As shown, the present application discloses a method for monitoring the operation risk of a pipe network of an urban drainage system, which specifically includes the following steps: S10: Obtain a pipe network distribution drawing of the urban drainage system, perform key site analysis on the pipe network distribution drawing, perform pipe network topology based on the key site analysis results and the corresponding pipe network distribution, and obtain the pipe network topology relationship of the urban drainage system.

[0029] Specifically, Figure 2 As shown, step S10 includes: S101: Obtain a pipe network distribution drawing of the urban drainage system and real-time drainage data of each pipe network, analyze the blockage status of each pipe network based on the real-time drainage data, and obtain pipeline operation data.

[0030] Specifically, the pipe network distribution is obtained through the pipe network distribution drawing of the urban drainage system, and the drainage data such as water pressure, flow, water quality, etc. of each pipe network are collected in real time. According to the collection cycle of drainage data, such as monthly, weekly, daily, etc., the drainage data of adjacent collection cycles are compared to determine the blockage status of each pipe network. If the drainage flow or water pressure between adjacent drainage cycles deviates by more than a preset threshold, it means that the current pipe network is blocked, thereby obtaining the pipe network operation data of each pipe network.

[0031] S102: Analyze and locate the key drainage points in the pipe network distribution according to the pipeline operation data, and perform pipe network topology processing in combination with the operation pipe network distribution status associated with each key point to obtain the pipe network topology relationship of the urban drainage system.

[0032] Specifically, the key drainage sites in the pipe network distribution are located according to the pipeline operation data. For example, the sites connected to more than three pipes are key sites. The more pipes are connected, the higher the criticality of the site. Combined with the distribution of the operating pipes associated with the key sites, the pipe network is topologically processed to obtain the pipe network topology relationship of the urban drainage system.

[0033] S20: Acquire real-time monitoring data of each key site, and analyze the operation change trends of all key sites of the same drainage event in combination with the topological relationship of the pipeline network to obtain the site operation correlation relationship of the pipeline network.

[0034] Specifically, Figure 3 As shown, step S20 includes: S201: Obtain real-time monitoring data of each key site, evaluate the drainage capacity of each key site based on the real-time monitoring data, and obtain unit point risk assessment data.

[0035] Specifically, based on the real-time monitoring data of each key site, including the diversion data of the connecting pipes, the water pressure, flow rate, water quality, etc. of the site, each water level indicator is compared with the preset site threshold, and the drainage capacity of each key site is evaluated according to the comparison difference. The more the number of difference indicators between the real-time monitoring data and the preset site threshold, the greater the risk, and the unit point risk assessment data is obtained.

[0036] S202: Based on the pipe network topology and unit point risk assessment data, an operation change trend analysis is performed on all key sites in the same drainage event to obtain site operation trend data.

[0037] Specifically, based on the pipe network topology and the unit point risk assessment data of the drainage system, an operation change trend analysis is conducted on the key points involved in the same drainage event. For example, the differences in water level, water pressure, flow and other parameters at each key point are obtained, and the change trend of the drainage parameters at each key point is analyzed over time to obtain the point operation trend data.

[0038] S203: Based on the site operation trend data, diversion paths are planned for sites with the same flow direction trend, and site operation association relationships of the pipeline network are constructed according to the diversion path planning results.

[0039] Specifically, based on the site operation trend data, the sites with the same flow direction trend in the current drainage event are screened, such as sites with positive growth in drainage parameters as one group, and sites with negative growth in drainage parameters as another group. The drainage pipes with negative growth are used to divert the drainage pipes with positive growth, and the site operation association of the pipeline network is constructed according to the flow order of the diverted sites.

[0040] S30: Obtain historical risk parameters for each key site, perform data training on the historical risk parameters according to the site operation correlation relationship, and construct a pipe network risk monitoring model for the urban drainage system based on the training results.

[0041] Specifically, Figure 4 As shown, step S30 includes: S301: Obtain historical risk data for each key location in the pipeline network, analyze the historical risk maximum threshold and the corresponding historical risk diversion path corresponding to each historical risk event, and obtain historical effective diversion data for each key location in the pipeline network.

[0042] Specifically, the historical risk data of each key point in the pipeline network is obtained, and the maximum risk threshold that appears in each historical drainage risk event, such as the maximum water level of water accumulation, and the corresponding historical risk diversion path, such as the corresponding water accumulation diversion path, are eliminated. The historical solutions that cannot effectively divert the accumulated water are eliminated, so as to obtain the historical effective diversion data of each key point in the pipeline network.

[0043] S302: Perform site operation data fitting training based on the historical effective diversion data and the site operation correlation, and construct a pipe network risk monitoring model for the urban drainage system based on the fitting results.

[0044] Specifically, the historical effective diversion data are input into the site operation correlation relationship for data fitting training, and the site operation correlation relationship is optimized according to the training results, so as to construct a pipeline risk monitoring model for the urban drainage system.

[0045] S40: Obtain external environment change parameters of the urban drainage system, input the external environment change parameters into the pipe network risk monitoring model for risk analysis, and obtain pipe network operation risk monitoring data of the urban drainage system.

[0046] Specifically, Figure 5 As shown, step S40 includes: S401: Obtain external environment change parameters of the urban drainage system, perform drainage trend analysis on the external environment change parameters, evaluate the maximum drainage capacity of the pipe network according to the drainage trend analysis results, and obtain critical drainage parameters of the pipe network.

[0047] Specifically, the external environment change parameters of the urban drainage system are obtained. In this embodiment, it mainly refers to the change trend of rainfall in severe weather such as typhoons and rainstorms. In this embodiment, meteorological data is obtained and the drainage trend of the pipeline is analyzed according to the external environment change parameters. When any indicator such as the water pressure, water level or flow rate of the pipeline reaches the preset threshold, it means that the maximum drainage capacity of the current pipeline network has been reached, thereby obtaining the critical drainage parameters of the pipeline network.

[0048] S402: When the external environment change parameter exceeds the critical parameter of the pipe network discharge, the risk location that exceeds the critical parameter of the pipe network discharge is marked, and the marked risk location is checked for abnormalities.

[0049] Specifically, according to the trend of changes in the external environment, when urban waterlogging reaches the critical parameters of pipe network drainage, risk locations that exceed the critical parameters of pipe network drainage are marked, such as locations where the water level exceeds a preset maximum threshold or locations at both ends of the pipe where the pipe flow rate, water pressure, etc. exceed the preset pipe threshold, and a joint abnormality check is performed based on the flow rate, water pressure, etc. of all associated pipes at the risk location. The abnormality in this embodiment mainly refers to pipe blockage or pipe drainage that exceeds the actual drainage capacity.

[0050] S403: Obtain risk anomaly parameters of the risk site, combine the remaining drainage space of all connected pipes at the risk site, divert the accumulated water at the risk site, and obtain the pipe network operation risk monitoring data of the urban drainage system.

[0051] Specifically, the risk abnormal parameters of the risk site are obtained, such as water pressure and drainage volume that exceed the preset thresholds, and the remaining drainage space of all connected pipes at the risk site, such as pipes that have not reached the preset water level threshold, is combined. The drainage volume of each pipe is controlled by the preset baffles preset in each pipe, so that the accumulated water at the risk site is diverted and the pipe network operation risk monitoring data of the urban drainage system is obtained.

[0052] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0053] In one embodiment, a pipe network operation risk monitoring system for an urban drainage system is provided, and the pipe network operation risk monitoring system for an urban drainage system corresponds one-to-one to the pipe network operation risk monitoring method for an urban drainage system in the above embodiment. Figure 6 As shown in the figure, the pipe network operation risk monitoring system of the urban drainage system includes a data acquisition module, a data analysis module, a model building module and a risk monitoring module. The detailed description of each functional module is as follows: The data acquisition module is used to obtain the pipe network distribution drawings of the urban drainage system, perform key site analysis on the pipe network distribution drawings, perform pipe network topology based on the key site analysis results and the corresponding pipe network distribution, and obtain the pipe network topology relationship of the urban drainage system.

[0054] The data analysis module is used to obtain real-time monitoring data of each key site, and analyze the operation change trends of all key sites of the same drainage event in combination with the pipe network topology relationship to obtain the site operation correlation relationship of the pipe network.

[0055] The model building module is used to obtain the historical risk parameters of each key site, conduct data training on the historical risk parameters according to the site operation correlation relationship, and build a pipeline risk monitoring model for the urban drainage system based on the training results.

[0056] The risk monitoring module is used to obtain the external environment change parameters of the urban drainage system, input the external environment change parameters into the pipe network risk monitoring model for risk analysis, and obtain the pipe network operation risk monitoring data of the urban drainage system.

[0057] Preferably, the risk monitoring module specifically includes: The drainage assessment submodule is used to obtain the external environmental change parameters of the urban drainage system, perform drainage trend analysis on the external environmental change parameters, evaluate the maximum drainage capacity of the pipe network based on the drainage trend analysis results, and obtain the critical drainage parameters of the pipe network.

[0058] The abnormality investigation submodule is used to mark the risk sites that exceed the critical parameters of pipe network discharge when the external environment change parameters exceed the critical parameters of pipe network discharge, and to perform abnormality investigation on the marked risk sites.

[0059] The diversion submodule is used to obtain the risk anomaly parameters of the risk site, and to divert the accumulated water at the risk site in combination with the remaining drainage space of all connected pipes at the risk site to obtain the pipe network operation risk monitoring data of the urban drainage system.

[0060] Preferably, the model building module specifically includes: The parameter screening submodule is used to obtain the historical risk data of each key point in the pipeline network, analyze the historical risk maximum threshold and the corresponding historical risk diversion path corresponding to each historical risk event, and obtain the historical effective diversion data of each key point in the pipeline network.

[0061] The model building submodule is used to perform site operation data fitting training based on the historical effective diversion data and the site operation correlation relationship, and to build a pipe network risk monitoring model for the urban drainage system based on the fitting results.

[0062] Preferably, the data analysis module specifically includes: The risk assessment submodule is used to obtain the real-time monitoring data of each key site, evaluate the drainage capacity of each key site based on the real-time monitoring data, and obtain the unit point risk assessment data.

[0063] The operation trend analysis submodule is used to analyze the operation change trend of all key sites in the same drainage event based on the pipe network topology relationship and unit point risk assessment data to obtain the site operation trend data.

[0064] The relationship building submodule is used to plan diversion paths for sites with the same flow trend according to the site operation trend data, and to build the site operation association relationship of the pipeline network according to the diversion path planning results.

[0065] Preferably, the data acquisition module specifically includes: The status analysis submodule is used to obtain the pipe network distribution drawings of the urban drainage system and the real-time drainage data of each pipe network, analyze the blockage status of each pipe network based on the real-time drainage data, and obtain the pipeline operation data.

[0066] The pipe network topology submodule is used to analyze and locate the key drainage points in the pipe network distribution according to the pipeline operation data, and to perform pipe network topology processing in combination with the operating pipe network distribution status associated with each key point to obtain the pipe network topology relationship of the urban drainage system.

[0067] For the specific definition of the pipe network operation risk monitoring system for the urban drainage system, please refer to the definition of the pipe network operation risk monitoring method for the urban drainage system mentioned above, which will not be repeated here. Each module in the above-mentioned pipe network operation risk monitoring system for the urban drainage system can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0068] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pipe network operation risk monitoring data of the urban drainage system. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a pipe network operation risk monitoring method for the urban drainage system is implemented.

[0069] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for monitoring the operation risk of a pipe network of an urban drainage system are implemented: Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0070] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0071] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for monitoring the pipe network operation risk of an urban drainage system, characterized in that: include: Obtaining a pipe network distribution drawing of the urban drainage system, performing a key site analysis on the pipe network distribution drawing, performing a pipe network topology based on the key site analysis results and the corresponding pipe network distribution, and obtaining a pipe network topology relationship of the urban drainage system; Obtain real-time monitoring data for each key site, and analyze the operation change trends of all key sites of the same drainage event in combination with the topological relationship of the pipe network to obtain the site operation correlation relationship of the pipe network; Obtain the historical risk parameters of each key site, perform data training on the historical risk parameters according to the site operation association relationship, and build a pipe network risk monitoring model for the urban drainage system based on the training results; The external environment change parameters of the urban drainage system are obtained, and the external environment change parameters are input into the pipe network risk monitoring model for risk analysis to obtain the pipe network operation risk monitoring data of the urban drainage system.

2. The method for monitoring the pipe network operation risk of the urban drainage system according to claim 1 is characterized in that: The step of obtaining the external environment change parameters of the urban drainage system and inputting the external environment change parameters into the pipe network risk monitoring model for risk analysis to obtain the pipe network operation risk monitoring data of the urban drainage system specifically includes: Obtaining external environmental change parameters of the urban drainage system, performing drainage trend analysis on the external environmental change parameters, evaluating the maximum drainage capacity of the pipe network according to the drainage trend analysis results, and obtaining critical drainage parameters of the pipe network; When the external environment change parameter exceeds the critical parameter of the pipe network discharge, the risk location that exceeds the critical parameter of the pipe network discharge is marked, and the marked risk location is checked for abnormalities; The risk anomaly parameters of the risk site are obtained, and the accumulated water at the risk site is diverted according to the remaining drainage space of all connected pipes at the risk site to obtain the pipe network operation risk monitoring data of the urban drainage system.

3. The method for monitoring the pipe network operation risk of an urban drainage system according to claim 1, characterized in that: The method of obtaining the historical risk parameters of each key site, performing data training on the historical risk parameters according to the site operation association relationship, and constructing a pipe network risk monitoring model for the urban drainage system according to the training results specifically includes: Obtain the historical risk data of each key point in the pipeline network, analyze the historical risk maximum threshold and the corresponding historical risk diversion path corresponding to each historical risk event, and obtain the historical effective diversion data of each key point in the pipeline network; The historical effective diversion data and the site operation association relationship are used to perform site operation data fitting training, and a pipe network risk monitoring model for the urban drainage system is constructed based on the fitting results.

4. The method for monitoring the pipe network operation risk of an urban drainage system according to claim 1, characterized in that: The real-time monitoring data of each key point is obtained, and the operation change trend of all key points of the same drainage event is analyzed in combination with the pipe network topology relationship to obtain the point operation correlation relationship of the pipe network, which specifically includes: Acquire real-time monitoring data of each key site, evaluate the drainage capacity of each key site according to the real-time monitoring data, and obtain unit site risk assessment data; According to the pipe network topology and the unit point risk assessment data, an operation change trend analysis is performed on all key sites in the same drainage event to obtain site operation trend data; According to the site operation trend data, diversion paths are planned for sites with the same flow direction trend, and site operation associations of the pipeline network are constructed according to the diversion path planning results.

5. The method for monitoring the pipe network operation risk of an urban drainage system according to claim 1, characterized in that: The method of obtaining a pipe network distribution drawing of the urban drainage system, performing key site analysis on the pipe network distribution drawing, performing pipe network topology based on the key site analysis results and the corresponding pipe network distribution, and obtaining the pipe network topology relationship of the urban drainage system specifically includes: Obtaining a pipe network distribution drawing of the urban drainage system and real-time drainage data of each pipe network, analyzing the blockage status of each pipe network based on the real-time drainage data, and obtaining pipeline operation data; The key drainage points in the pipe network distribution are analyzed and located according to the pipeline operation data, and the pipe network topology is processed in combination with the operation pipe network distribution status associated with each key point to obtain the pipe network topology relationship of the urban drainage system.

6. A pipe network operation risk monitoring system for an urban drainage system, characterized in that: include: A data acquisition module is used to obtain a pipe network distribution drawing of an urban drainage system, perform key site analysis on the pipe network distribution drawing, perform pipe network topology based on the key site analysis results and the corresponding pipe network distribution, and obtain the pipe network topology relationship of the urban drainage system; The data analysis module is used to obtain the real-time monitoring data of each key site, and analyze the operation change trend of all key sites of the same drainage event in combination with the topological relationship of the pipe network to obtain the site operation correlation relationship of the pipe network; A model building module is used to obtain the historical risk parameters of each key site, perform data training on the historical risk parameters according to the site operation association relationship, and build a pipe network risk monitoring model for the urban drainage system based on the training results; The risk monitoring module is used to obtain the external environment change parameters of the urban drainage system, input the external environment change parameters into the pipe network risk monitoring model for risk analysis, and obtain the pipe network operation risk monitoring data of the urban drainage system.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the pipe network operation risk monitoring method of the urban drainage system as described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the steps of the pipe network operation risk monitoring method of the urban drainage system as claimed in any one of claims 1 to 5 are implemented.

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