Urban inland inundation predicting and monitoring method, system, equipment and medium thereof

Abstract

The invention discloses an urban inland inundation prediction monitoring method, system and device and a medium thereof, and the method comprises the steps: obtaining historical ponding distribution information and a flood prevention starting plan of a target urban monitoring region based on collected rainfall prediction data and rainfall early warning levels; acquiring current flood prevention drainage facility information and drainage facility state results according to the historical ponding distribution information and the flood prevention starting plan; in the predicted urban inland inundation deduction model, performing urban inland inundation simulation calculation based on rainfall prediction data, historical ponding distribution information, a flood prevention starting plan and a corresponding drainage facility state result to obtain an urban inland inundation simulation result; generating a plurality of waterlogging and ponding monitoring units based on the urban waterlogging simulation result, and collecting corresponding waterlogging and ponding monitoring data; optimizing the urban inland inundation deduction model when the urban inland inundation simulation result and the inland inundation ponding monitoring data meet deviation judgment adjustment conditions; according to the invention, the processing efficiency of urban flood prevention and typhoon prevention emergency scheduling is improved.

Description

Technical Field

[0001] The present application relates to the technical field of urban waterlogging treatment, and in particular to an urban waterlogging prediction and monitoring method, system, equipment and medium thereof. Background Art

[0002] Today, urban flood and typhoon emergency dispatch mainly relies on established flood control plans for offline deployment, and the handling of waterlogging incidents mainly relies on manual on-site recording. Although the application of flood control monitoring facilities has gradually gained attention in recent years, the systematic deployment of monitoring facilities and the effectiveness of data still need to be improved. In addition, the existing urban flood and typhoon emergency dispatch lacks scientific and reasonable monitoring and early warning responses, and the handling efficiency is low. Summary of the invention

[0003] In order to improve the efficiency of emergency dispatch for urban flood and typhoon prevention, the present application provides an urban waterlogging prediction and monitoring method, system, equipment and medium thereof.

[0004] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A method for predicting and monitoring urban waterlogging, comprising: Based on the collected rainfall forecast data and rainfall warning level of the target city monitoring area, the historical waterlogging distribution information and flood prevention activation plan of the target city monitoring area are obtained; According to the historical waterlogging distribution information and the flood control activation plan, obtain the current flood control drainage facility information and the corresponding drainage facility status results; In the predicted urban waterlogging simulation model, urban waterlogging simulation calculation is performed based on the rainfall forecast data, historical waterlogging distribution information, flood prevention activation plan and corresponding drainage facility status results of the target city monitoring area to obtain the urban waterlogging simulation results; Based on the urban waterlogging simulation result, a plurality of waterlogging monitoring units are generated in the target urban monitoring area, and waterlogging monitoring data of each of the waterlogging monitoring units is collected; When the urban waterlogging simulation result and the waterlogging monitoring data satisfy a preset deviation judgment adjustment condition, the predicted urban waterlogging deduction model is optimized.

[0005] By adopting the above technical scheme, a method for urban flood and typhoon emergency dispatch is provided which combines urban waterlogging prediction and monitoring. First, the rainfall forecast data and rainfall warning level of the monitoring area of ​​the target city are obtained. According to the rainfall warning level, the corresponding flood control activation plan and historical waterlogging distribution information are selected for activation, wherein the historical waterlogging distribution information is the distribution information of the historical waterlogging point area. Then, in order to effectively ensure the status of all flood control and drainage facilities used in the flood control activation plan, it is judged whether there are abnormal faults in the flood control and drainage facilities. The application also obtains the drainage facility status results in advance before the flood season to effectively ensure the rationality of the deployment of the flood control activation plan and the validity of the data. The processing efficiency of the flood control activation plan is relatively high. Then, the urban waterlogging simulation calculation is carried out in the predicted urban waterlogging deduction model to obtain To the urban waterlogging simulation results, the urban waterlogging simulation results are the urban waterlogging simulation prediction results of the target city monitoring area, so as to realize urban waterlogging prediction before the flood season; the application also has the function of early warning of waterlogged road sections, that is, through the urban waterlogging simulation results, a number of waterlogging monitoring units are generated in the target city monitoring area, among which the waterlogging monitoring unit is the key monitoring area for waterlogging, and the waterlogging monitoring data of each waterlogging monitoring unit is obtained during and after the flood season. Finally, the urban waterlogging simulation results and the waterlogging monitoring data are compared and judged for data deviations, so as to improve the model robustness of the urban waterlogging simulation model and the simulation accuracy of the urban waterlogging simulation results, that is, to improve the effectiveness of the monitoring data, thereby improving the disposal efficiency of urban flood and typhoon emergency dispatch.

[0006] In a preferred example of the present application, the historical waterlogging distribution information includes the historical waterlogging distribution area; the current flood control drainage facility information and the corresponding drainage facility status result are obtained based on the historical waterlogging distribution information and the flood control activation plan, including: Based on the historical waterlogging distribution area, the flood prevention patrol personnel information, flood prevention patrol vehicle information and flood prevention drainage facility information of the flood prevention activation plan are obtained; and the flood prevention patrol vehicle corresponding to the flood prevention patrol vehicle information is provided with a patrol monitoring unit for obtaining surveillance video during the flood prevention patrol process; Generate a corresponding flood inspection work order based on the flood inspection personnel information, flood inspection vehicle information and flood control drainage facility information, and distribute it to the flood inspection personnel terminal corresponding to the flood inspection personnel information; obtain the first drainage facility status information based on the flood inspection work order; and obtain the second drainage facility status information through the monitoring video of the inspection and monitoring unit; A corresponding drainage facility status result is obtained according to the first drainage facility status information and the second drainage facility status information.

[0007] By adopting the above technical scheme, the present application provides a method for obtaining the actual drainage facility status information in advance before the flood season, so as to realize the urban flood and typhoon emergency dispatch disposal method for monitoring the failure or abnormal status of the drainage facility in advance, so as to construct a model deduction based on the health of the drainage facility, and improve the practical value of the model deduction and the accuracy of the simulation results; the present application can not only generate and distribute flood prevention inspection work orders to the patrol personnel connected to the corresponding patrol personnel terminal to perform patrol operations to obtain the first drainage facility status information, but also can obtain the monitoring video of the flood prevention patrol vehicle during the flood prevention patrol process, and perform automatic machine recognition and / or human eye recognition through the monitoring video to obtain the second drainage facility status information. Monitoring method, so as to judge whether the drainage facility has problems such as damage, blockage, and loss, the monitoring and early warning mechanism is more reasonable and scientific, and the urban waterlogging monitoring efficiency is higher.

[0008] In a preferred example of the present application, the drainage facility status result includes a normal drainage facility status and an abnormal drainage facility status; in the predicted urban waterlogging deduction model, based on the rainfall forecast data of the target city monitoring area, the historical waterlogging distribution information, the flood prevention activation plan and the corresponding drainage facility status result, the urban waterlogging simulation calculation is performed, and before obtaining the urban waterlogging simulation result, it includes: Associating the plurality of flood control and drainage facilities corresponding to the flood control and drainage facility information with drainage facility identifiers; identifying and determining drainage facility status results of the plurality of flood control and drainage facilities; the flood control and drainage facilities include inspection wells, rainwater inlets, and discharge outlets; When the drainage facility status result of a certain flood control and drainage facility is an abnormal drainage facility status, an abnormal information prompt instruction is generated based on the drainage facility identification of the flood control and drainage facility; the abnormal drainage facility status of the inspection well includes a damaged well frame, a damaged well cover, a buried well cover, a lost well cover, a protruding or sunken cover frame, and water accumulation on the well cover; the abnormal drainage facility status of the rainwater outlet includes internal blockage of the rainwater outlet, a protruding or sunken rainwater outlet frame, a damaged rainwater outlet frame, a damaged rainwater grate, a lost rainwater grate, water accumulation on the surface of the rainwater outlet, blocked holes, and water accumulation inside the rainwater outlet; the abnormal drainage facility status of the discharge outlet includes obstruction of the discharge outlet and overflow in dry days; based on the abnormal information prompt instruction, the model parameters of the preset initial urban waterlogging deduction model are quantified to obtain the preset urban waterlogging deduction model.

[0009] By adopting the above technical solution, the present application constructs an urban waterlogging simulation model based on the health of drainage facilities. Before using the urban waterlogging simulation model for model simulation, it is first determined whether it is necessary to perform model parameter quantization operations based on different drainage facility status results. When it is determined that the drainage facility status result of a certain flood control and drainage facility is an abnormal drainage facility status, since there are flood control and drainage facilities with abnormal facility status at this time, it is necessary to perform simulation and deduction based on the actual facility status of the flood control and drainage facilities. Therefore, the present application generates an abnormal information prompt instruction based on the abnormal drainage facility status to provide a prompt method for the abnormal facility status. It is also based on quantifying the parameters of the abnormal drainage facility status problem, and then optimizing to obtain a preset urban waterlogging simulation model to improve the model performance and generalization ability of the urban waterlogging simulation model.

[0010] In a preferred example of the present application, the method of quantifying model parameters of a preset initial urban waterlogging deduction model to obtain the preset urban waterlogging deduction model includes: In the preset initial urban waterlogging simulation model, multiple model parameters to be analyzed are screened out based on the uncertainty of the model parameters, and the sensitivity analysis algorithm corresponding to each of the model parameters to be analyzed is determined. The multiple model parameters to be analyzed include pipe diameter, sediment depth, top roughness coefficient, and bottom roughness coefficient; Perform parameter sensitivity analysis on each of the model parameters to be analyzed based on the sensitivity analysis algorithm to obtain parameter sensitivity analysis results; determine the target quantitative parameter based on the parameter sensitivity analysis results; Adjusting different target quantization parameters to sequentially quantize model parameters of the preset initial urban waterlogging simulation model, obtaining a corresponding plurality of model simulation values, and obtaining actual measurement values ​​corresponding to the plurality of model simulation values; A difference analysis is performed between the plurality of model simulation values ​​and the corresponding plurality of actual measurement values ​​to determine the model quantification parameter results based on the health of the drainage facilities as the optimization target, so as to obtain the preset urban waterlogging simulation model.

[0011] By adopting the above technical scheme, the model parameters of the preset initial urban waterlogging simulation model are quantified, especially the refined analysis of key uncertainty parameters such as pipe diameter, sediment depth, top roughness coefficient, bottom roughness coefficient, etc. This method can significantly improve the accuracy of the model in simulating urban waterlogging. The sensitivity analysis algorithm identifies the parameters that have the greatest impact on the model output (i.e., target quantified parameters), and these parameters are quantitatively adjusted in a targeted manner, so that the model can maintain relatively stable prediction performance under different environmental conditions and input data, thereby enhancing the robustness and adaptability of the model. The model quantification parameter results based on the health of drainage facilities as the optimization target can guide urban managers to reasonably allocate resources in the planning, construction and maintenance of flood control facilities. For example, for areas or parameters with higher sensitivity, priority can be given to upgrading or strengthening monitoring, thereby improving flood control efficiency and reducing overall costs. This not only improves the accuracy of waterlogging prediction, but also provides rapid response capabilities for urban emergency management departments through the close combination of real-time monitoring and model simulation.

[0012] In a preferred example of the present application, based on the urban waterlogging simulation result, a plurality of waterlogging monitoring units are generated in the target city monitoring area, and waterlogging monitoring data of each of the waterlogging monitoring units is collected, including: Calculating waterlogging area data of the target city monitoring area based on the urban waterlogging simulation result, wherein the waterlogging area data includes a plurality of waterlogging areas and corresponding waterlogging area distribution data; Compare the waterlogging area distribution data of all the waterlogging areas with the preset waterlogging warning values ​​to obtain corresponding waterlogging area distribution results and distribution positions; Based on the acquired river water level boundary data, the waterlogging area distribution results and distribution positions of the plurality of waterlogging areas, a plurality of waterlogging monitoring units are generated in the target city monitoring area.

[0013] By adopting the above technical scheme, the urban waterlogging monitoring unit is a simulation result of urban waterlogging based on the simulation of the urban waterlogging simulation model. The predicted output key focus areas of urban waterlogging are areas with greater threats of urban waterlogging. In order to effectively improve the disposal efficiency of urban flood and typhoon emergency dispatch, the areas where the urban waterlogging monitoring units with greater threats are distributed are focused on the deployment of waterlogging areas, such as the advance deployment of flood prevention personnel, vehicles and materials for the urban waterlogging monitoring units.

[0014] In a preferred example of the present application, based on the acquired river water level boundary data, the waterlogging area distribution results and distribution positions of the waterlogging areas, after generating a plurality of waterlogging monitoring units in the target city monitoring area, the method further includes: According to the urban waterlogging simulation result, the sensing monitoring facility information corresponding to the plurality of waterlogging waterlogging monitoring units is obtained; the sensing monitoring facility is associated with a sensing facility identifier; Triggering a flood control response monitoring instruction, obtaining the perception monitoring data of the perception monitoring facilities corresponding to the perception monitoring facility information; based on the perception facility identifier, sending different perception monitoring data to a preset alarm judgment model, identifying and obtaining the alarm threshold interval corresponding to the perception monitoring data; Determine whether the sensing monitoring data is within the corresponding alarm threshold range; When a certain sensing monitoring data is within the corresponding alarm threshold interval, based on the sensing facility identifier corresponding to the sensing monitoring data, an alarm prompt message is generated and sent to a preset monitoring user terminal; and / or, According to the flood prevention activation plan and the urban waterlogging simulation results, a flood prevention and drainage facility pre-control instruction is triggered; based on the flood prevention and drainage facility pre-control instruction, the flood prevention and drainage facilities corresponding to the current flood prevention and drainage facility information are pre-controlled.

[0015] By adopting the above technical scheme, the perception monitoring facilities corresponding to the perception monitoring facility information adopt a method of triggering the switching of working modes based on flood control response monitoring instructions. In actual application, in order to facilitate efficient maintenance and management of the perception monitoring facilities and extend the service life of the perception monitoring facilities, the perception monitoring facilities are provided with a sleep mode and a working mode. When not in use, the perception monitoring facilities are in a sleep mode with low energy consumption, while before the flood season and throughout the flood season, they need to be switched to a working state. The method of triggering the switching of working modes based on flood control response monitoring instructions in this application not only meets the needs of collecting and transmitting perception monitoring data, but also reduces the ineffective energy consumption of perception monitoring facilities, thereby achieving the purpose of saving energy, and is economical and applicable. The performance is wide and high; further, the perception monitoring facility also has a monitoring and early warning function, based on the association of corresponding perception facility identifiers with different types of perception monitoring facilities, and pre-sets corresponding alarm threshold intervals, so as to analyze whether there are abnormalities in the perception monitoring data collected by each perception monitoring facility, so as to output alarm prompt information in time and send it to the monitoring user terminal when abnormal perception monitoring data occurs, which is helpful to assist monitoring personnel in urban waterlogging prediction and monitoring operations; and the present application can also pre-control the flood control and drainage facilities corresponding to the current flood control and drainage facility information based on the flood control and drainage facility pre-control instructions, such as the flood control pre-control response of the pump station, that is, to open the gate of the flood-related pump station in advance, and perform pre-discharge response operations of the pump station, etc., which is more convenient to operate.

[0016] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions: An urban waterlogging prediction and monitoring system, the system comprising: A historical waterlogging information and flood control plan acquisition module is used to acquire historical waterlogging distribution information and flood control activation plans for the target city monitoring area based on the collected rainfall forecast data and rainfall warning levels for the target city monitoring area; A flood control and drainage facility information determination module is used to obtain current flood control and drainage facility information and corresponding drainage facility status results based on the historical waterlogging distribution information and the flood control activation plan; The urban waterlogging simulation calculation module is used to perform urban waterlogging simulation calculations in the predicted urban waterlogging deduction model based on the rainfall forecast data, historical waterlogging distribution information, flood prevention activation plan and corresponding drainage facility status results of the target city monitoring area to obtain urban waterlogging simulation results; A waterlogging monitoring unit generation and monitoring module, configured to generate a plurality of waterlogging monitoring units in the target city monitoring area based on the urban waterlogging simulation result, and collect waterlogging monitoring data of each of the waterlogging monitoring units; The deviation judgment adjustment module is used to optimize the predicted urban waterlogging deduction model when the urban waterlogging simulation result and the waterlogging waterlogging monitoring data meet the preset deviation judgment adjustment conditions.

[0017] By adopting the above technical scheme, a method for urban flood and typhoon emergency dispatch is provided, which combines urban waterlogging prediction and monitoring. First, the rainfall forecast data and rainfall warning level of the monitoring area of ​​the target city are obtained, and the corresponding flood control activation plan and historical waterlogging distribution information are selected and activated according to the rainfall warning level, wherein the historical waterlogging distribution information is the distribution information of the historical waterlogging point area. Then, in order to effectively ensure the status of all flood control and drainage facilities used in the flood control activation plan, it is judged whether there are abnormal faults in the flood control and drainage facilities. The application also obtains the drainage facility status results in advance before the flood season, so as to effectively ensure the rationality of the deployment of the flood control activation plan and the validity of the data. The processing efficiency of the flood control activation plan is relatively high. Then, the urban waterlogging simulation calculation is carried out in the predicted urban waterlogging deduction model to obtain Urban waterlogging simulation results, urban waterlogging simulation results are urban waterlogging simulation prediction results in the target city monitoring area, so as to realize the urban waterlogging prediction function before the flood season; the application also has the function of early warning of waterlogged road sections, that is, through the urban waterlogging simulation results, a number of waterlogging monitoring units are generated in the target city monitoring area, among which the waterlogging monitoring units are key monitoring areas for waterlogging, and the waterlogging monitoring data of each waterlogging monitoring unit are obtained during and after the flood season. Finally, the urban waterlogging simulation results and the waterlogging monitoring data are compared and judged for data deviations, so as to improve the model robustness of the urban waterlogging simulation model and the simulation accuracy of the urban waterlogging simulation results, that is, to improve the effectiveness of the monitoring data, thereby improving the disposal efficiency of urban flood and typhoon emergency dispatch.

[0018] In a preferred example of the present application: the system further includes a flood prevention personnel vehicle monitoring subsystem and a flood prevention perception monitoring subsystem; The flood prevention personnel vehicle monitoring subsystem includes a handheld operation terminal, a driving camera, a positioning module, a patrol monitoring unit, a rescue monitoring unit and a pump truck monitoring unit. The driving camera, the positioning module and the patrol monitoring unit are installed on the flood prevention patrol vehicle corresponding to the flood prevention patrol vehicle information. The rescue monitoring unit and the pump truck monitoring unit are arranged in the target city monitoring area. The flood prevention and typhoon prevention monitoring data of the target city monitoring area are obtained through the flood prevention personnel vehicle monitoring subsystem; The flood prevention perception monitoring subsystem includes a road surface waterlogging monitoring station, a river level meter, a pipe network level meter, a pipe network flow meter, a rain gauge and a rainfall forecast data interface which are arranged in the target city monitoring area and are communicatively connected to a preset monitoring user terminal. Real-time waterlogging monitoring data of the target city monitoring area is obtained through the flood prevention perception monitoring subsystem.

[0019] By adopting the above technical solutions, the flood prevention personnel vehicle monitoring subsystem and the flood prevention perception monitoring subsystem are used to monitor the implementation of the flood prevention activation plan and obtain the disposal of the urban flood and typhoon emergency dispatch during the entire flood season; specifically, the handheld operation terminal is used to carry the mobile terminal APP of the flood prevention and typhoon emergency dispatch for on-site operations, the driving camera is used to record the driving monitoring video of the flood prevention patrol vehicle, the positioning module is used to collect the high-precision real-time positioning of the flood prevention patrol vehicle, the emergency monitoring unit is used to monitor the power consumption data of the electrical equipment in the flood prevention patrol facilities, and the pump truck monitoring unit is used to monitor the operation data and drainage data of the water pump; the road surface waterlogging monitoring station is used to monitor the depth of road surface waterlogging and monitor the waterlogging of urban roads; the river level meter is used to monitor the water level of the urban river, the pipe network level meter is used to monitor the water level of the drainage pipe, the pipe network flow meter is used to monitor the water level and flow of the drainage pipe and the discharge outlet, the rain gauge is used to monitor the rainfall intensity and accumulated rainfall, and the rainfall forecast data interface is used to receive rainfall forecast data for a specified time in advance.

[0020] In the third aspect, the invention objective of this application is achieved by adopting 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, wherein the processor implements the steps of the above-mentioned urban waterlogging prediction and monitoring method when executing the computer program.

[0021] In a fourth aspect, the invention objective of the present application is achieved by adopting 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 urban waterlogging prediction and monitoring method.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. Provide an urban flood and typhoon emergency dispatch method that combines urban waterlogging prediction and monitoring. First, obtain the rainfall forecast data and rainfall warning level of the target city monitoring area, and select to start the corresponding flood control activation plan and historical waterlogging distribution information according to the rainfall warning level, wherein the historical waterlogging distribution information is the distribution information of the historical waterlogging point area. Then, in order to effectively ensure the status of all flood control and drainage facilities used in the flood control activation plan, it is judged whether there are abnormal faults in the flood control and drainage facilities. The application also obtains the drainage facility status results in advance before the flood season to effectively ensure the rationality of the deployment of the flood control activation plan and the validity of the data. The processing efficiency of the flood control activation plan is high. Then, the urban waterlogging simulation calculation is performed in the predicted urban waterlogging deduction model to obtain the urban waterlogging. Simulation results: The urban waterlogging simulation results are the simulation prediction results of urban waterlogging in the target city monitoring area, so as to realize urban waterlogging prediction before the flood season; the application also has the function of early warning of waterlogged road sections, that is, through the urban waterlogging simulation results, a number of waterlogging monitoring units are generated in the target city monitoring area, among which the waterlogging monitoring units are the key monitoring areas for waterlogging, and the waterlogging monitoring data of each waterlogging monitoring unit are obtained during and after the flood season. Finally, the urban waterlogging simulation results and the waterlogging monitoring data are compared and judged for data deviation, so as to improve the model robustness of the urban waterlogging simulation model and the simulation accuracy of the urban waterlogging simulation results, that is, to improve the effectiveness of the monitoring data, thereby improving the handling efficiency of the emergency dispatch of urban flood control and typhoon prevention; 2. Provide an urban flood and typhoon emergency dispatch method that combines urban waterlogging prediction and monitoring. First, obtain the rainfall forecast data and rainfall warning level of the target city monitoring area, select and start the corresponding flood control activation plan and historical waterlogging distribution information according to the rainfall warning level, wherein the historical waterlogging distribution information is the distribution information of the historical waterlogging point area, and then effectively ensure the status of all flood control and drainage facilities used in the flood control activation plan, and judge whether there are abnormal faults in the flood control and drainage facilities. The application also obtains the drainage facility status results in advance before the flood season, so as to effectively ensure the rationality of the deployment and data validity of the flood control activation plan, and the processing efficiency of the flood control activation plan is high. Then, perform urban waterlogging simulation calculation in the predicted urban waterlogging deduction model to obtain the urban waterlogging simulation result, which is the urban waterlogging simulation prediction result of the target city monitoring area, so as to realize the urban waterlogging prediction function before the flood season; 3. The present application constructs an urban waterlogging simulation model based on the health of drainage facilities. Before using the urban waterlogging simulation model for model simulation, it is first determined whether it is necessary to perform model parameter quantization operations based on different drainage facility status results. When it is determined that the drainage facility status result of a certain flood control and drainage facility is an abnormal drainage facility status, since there are flood control and drainage facilities with abnormal facility status at this time, it is necessary to perform simulation and deduction based on the actual facility status of the flood control and drainage facilities. Therefore, the present application generates an abnormal information prompt instruction based on the abnormal drainage facility status to provide a prompt method for the abnormal facility status. It also quantifies the parameters of the abnormal drainage facility status problem and then optimizes to obtain a preset urban waterlogging simulation model to improve the model performance and generalization ability of the urban waterlogging simulation model. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a method for predicting and monitoring urban waterlogging in one embodiment of the present application; Figure 2 This is a flowchart of step S2 in a method for predicting and monitoring urban waterlogging in one embodiment of the present application; Figure 3 This is a flowchart of step S32 in a method for predicting and monitoring urban waterlogging in one embodiment of the present application; Figure 4 This is a flowchart of step S4 in a method for predicting and monitoring urban waterlogging in one embodiment of the present application; Figure 5 This is a flowchart after step S43 in a method for predicting and monitoring urban waterlogging in one embodiment of the present application; Figure 6 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The present application is further described in detail below in conjunction with the accompanying drawings.

[0025] In one embodiment, if Figure 1 As shown, the present application discloses a method for predicting and monitoring urban waterlogging, which specifically includes the following steps: S1: Based on the collected rainfall forecast data and rainfall warning level in the monitoring area of ​​the target city, obtain the historical waterlogging distribution information and flood control activation plan in the monitoring area of ​​the target city.

[0026] In this embodiment, the target city monitoring area is a designated urban waterlogging prediction monitoring area; the historical waterlogging distribution information is the distribution information of historical waterlogging point areas; based on the rainfall warning level corresponding to the rainfall forecast data, a flood control activation plan corresponding to the warning level is selected.

[0027] S2: Based on the historical waterlogging distribution information and the flood control activation plan, obtain the current flood control drainage facility information and the corresponding drainage facility status results.

[0028] In this embodiment, the flood control and drainage facility information includes flood control and drainage facility product information and distribution location information, and the drainage facility status results include normal drainage facility status and abnormal drainage facility status, wherein the abnormal drainage facility status is a state in which the flood control and drainage facility has functional abnormalities or functional failures, such as damage, blockage, loss, and other problems.

[0029] Specifically, in order to effectively ensure the status of all flood control and drainage facilities used in the flood control activation plan and determine whether there are abnormal faults in the flood control and drainage facilities, this application also obtains the drainage facility status results in advance before the flood season to effectively ensure the rationality of the deployment of the flood control activation plan and the validity of the data. The processing efficiency of the flood control activation plan is relatively high.

[0030] S3: In the predicted urban waterlogging simulation model, urban waterlogging simulation calculations are performed based on the rainfall forecast data of the target city’s monitoring area, historical waterlogging distribution information, flood control activation plans, and corresponding drainage facility status results to obtain urban waterlogging simulation results.

[0031] In this embodiment, the urban waterlogging simulation result is the urban waterlogging simulation prediction result of the target city monitoring area, so as to realize urban waterlogging prediction before the flood season; when the drainage facility status result of any flood control drainage facility is identified as an abnormal drainage facility status, the model parameters are first quantified based on the abnormal drainage facility status, and the quantified model parameters are imported into the preset urban waterlogging simulation model for updating and optimization, and then the urban waterlogging simulation calculation is performed.

[0032] S4: Based on the urban waterlogging simulation results, a number of waterlogging monitoring units are generated in the target city monitoring area, and waterlogging monitoring data of each waterlogging monitoring unit is collected.

[0033] In this embodiment, the waterlogging monitoring unit is a key monitoring area for waterlogging. The waterlogging monitoring unit is a key monitoring and treatment object during the flood season obtained by regional division based on the urban waterlogging simulation results; the waterlogging monitoring data of each waterlogging monitoring unit is obtained during and after the flood season.

[0034] S5: When the urban waterlogging simulation results and the waterlogging monitoring data meet the preset deviation judgment adjustment conditions, the predicted urban waterlogging simulation model is optimized.

[0035] In this embodiment, the deviation judgment adjustment condition is that the data difference between the urban waterlogging simulation result and the waterlogging waterlogging monitoring data is large. When the urban waterlogging simulation result and the waterlogging waterlogging monitoring data meet the preset deviation judgment adjustment condition, it indicates that the model simulation result of the urban waterlogging simulation model at this time is poor and the model needs to be optimized.

[0036] Specifically, the present application compares and judges the data deviations of urban waterlogging simulation results and waterlogging monitoring data to improve the model robustness of the urban waterlogging simulation model and the simulation accuracy of the urban waterlogging simulation results, thereby improving the validity of the monitoring data and thus improving the efficiency of urban flood and typhoon emergency dispatch.

[0037] In one embodiment, in step S5, when the urban waterlogging simulation result and the waterlogging waterlogging monitoring data meet the preset deviation judgment adjustment condition, the predicted urban waterlogging deduction model is optimized, specifically including: S51: Calculate the Nash efficiency coefficient value of the urban waterlogging simulation result and the waterlogging monitoring data, and compare the Nash efficiency coefficient value with a preset Nash efficiency threshold.

[0038] In this embodiment, the Nash efficiency coefficient value is also called the NSE (Nash-Sutcliffe efficiency coefficient) value, and the Nash efficiency coefficient value is used to verify the quality of the urban waterlogging simulation result output by the model deduction of the urban waterlogging deduction model.

[0039] Specifically, whether it is necessary to optimize the model parameters of the urban waterlogging simulation model is determined according to the comparison result between the Nash efficiency coefficient value and the Nash efficiency threshold.

[0040] S52: When the Nash efficiency coefficient value is less than a preset Nash efficiency threshold, it indicates that the urban waterlogging simulation result and the waterlogging waterlogging monitoring data meet a preset deviation judgment adjustment condition.

[0041] In this embodiment, when the Nash efficiency coefficient value is less than the Nash efficiency threshold, it indicates that the urban waterlogging simulation result and the waterlogging waterlogging monitoring data meet the deviation judgment adjustment condition, and the urban waterlogging simulation result is poor.

[0042] S53: Optimizing model parameters of a preset urban waterlogging simulation model; in the optimized urban waterlogging simulation model, a Nash efficiency coefficient value corresponding to a currently simulated urban waterlogging simulation result is greater than or equal to a preset Nash efficiency threshold.

[0043] In this embodiment, when the Nash efficiency coefficient value is greater than or equal to the Nash efficiency threshold, the model verification result of the urban waterlogging simulation model is good, and the simulation accuracy of the output model urban waterlogging simulation result is high.

[0044] In one embodiment, if Figure 2 As shown, in step S2, the historical waterlogging distribution information includes the historical waterlogging distribution area; according to the historical waterlogging distribution information and the flood control activation plan, the current flood control drainage facility information and the corresponding drainage facility status result are obtained, including: S21: Based on the historical waterlogging distribution area, the flood prevention patrol personnel information, flood prevention patrol vehicle information and flood prevention drainage facility information of the flood prevention activation plan are obtained; and the flood prevention patrol vehicle corresponding to the flood prevention patrol vehicle information is provided with an inspection monitoring unit for obtaining surveillance video during the flood prevention patrol process.

[0045] Specifically, the inspection and monitoring unit includes a drainage facility collection camera and a water accumulation depth sensor, wherein the drainage facility collection camera is used to collect image streaming media data of the drainage facility, and the water accumulation depth sensor is used to collect road surface water depth data.

[0046] S22: Generate a corresponding flood prevention inspection work order based on the flood prevention inspection personnel information, flood prevention inspection vehicle information and flood prevention drainage facility information, and distribute it to the flood prevention inspection personnel terminal corresponding to the flood prevention inspection personnel information; obtain the first drainage facility status information based on the flood prevention inspection work order; and obtain the second drainage facility status information through the monitoring video of the inspection and monitoring unit.

[0047] In this embodiment, a machine learning model with a neural network recognition function is preset in the flood and typhoon emergency dispatch platform. It can perform machine learning recognition on the surveillance video of the inspection and monitoring unit to determine whether there are abnormal problems such as damage, blockage, or loss in the flood control and drainage facilities. When it is determined that any abnormal problem occurs in the flood control and drainage facilities in the surveillance video, the corresponding second drainage facility status information is output.

[0048] Specifically, after the flood inspection personnel corresponding to the flood inspection personnel terminal complete the facility status inspection work of the flood control drainage facilities on the flood inspection work order, the real-time drainage facility status information is input through the flood inspection personnel terminal, and used as the corresponding first drainage facility status information; S23: Obtaining a corresponding drainage facility status result according to the first drainage facility status information and the second drainage facility status information.

[0049] In this embodiment, through the first drainage facility status information obtained by personnel inspection and the auxiliary judgment method of intelligent identification of surveillance video, the drainage facility status results of the target city monitoring area are efficiently obtained before the flood season and throughout the flood season, so as to timely judge whether the drainage facilities have problems such as damage, blockage, and loss. The monitoring and early warning mechanism is more reasonable and scientific, and the urban waterlogging monitoring efficiency is higher.

[0050] In one embodiment, before step S3, a method for predicting and monitoring urban waterlogging includes: S31: Associating a number of flood control and drainage facilities corresponding to the flood control and drainage facility information with drainage facility identifiers; identifying and determining drainage facility status results of a number of flood control and drainage facilities; the flood control and drainage facilities include inspection wells, rainwater inlets and discharge outlets.

[0051] In this embodiment, the drainage facility status results include normal drainage facility status and abnormal drainage facility status, and the equipment health of the flood control drainage facilities is monitored based on the drainage facility status results; based on different drainage facility status results, it is determined whether a model parameter quantization operation needs to be performed.

[0052] S32: When the drainage facility status result of a certain flood control drainage facility is an abnormal drainage facility status, an abnormal information prompt instruction is generated based on the drainage facility identification of the flood control drainage facility; the abnormal drainage facility status of the inspection well includes a damaged well frame, a damaged well cover, a buried well cover, a lost well cover, a protruding or sunken cover frame, and water accumulation on the well cover; the abnormal drainage facility status of the rainwater outlet includes internal blockage of the rainwater outlet, a protruding or sunken rainwater outlet frame, a damaged rainwater outlet frame, a damaged rainwater grate, a lost rainwater grate, water accumulation on the surface of the rainwater outlet, blocked holes, and water accumulation inside the rainwater outlet; the abnormal drainage facility status of the discharge outlet includes obstruction of the discharge outlet and overflow in dry days; based on the abnormal information prompt instruction, the model parameters of the preset initial urban waterlogging simulation model are quantified to obtain the preset urban waterlogging simulation model.

[0053] Specifically, the drainage facility identification includes a unique product information code and positioning information of the flood control drainage facility; when it is determined that the drainage facility status of a certain flood control drainage facility is an abnormal drainage facility status, since there are flood control drainage facilities with abnormal facility status at this time, it is necessary to perform simulation deduction based on the actual facility status of the flood control drainage facility. Therefore, the present application generates an abnormal information prompt instruction based on the abnormal drainage facility status to provide a prompt method for the abnormal facility status. It also quantifies the parameters of the problem of the abnormal drainage facility status and then optimizes it to obtain a preset urban waterlogging simulation model to improve the model performance and generalization ability of the urban waterlogging simulation model.

[0054] Furthermore, when the drainage facility status results of all flood control and drainage facilities are in a normal drainage facility status, there is no need to perform model parameter quantification operations, and the conventional urban waterlogging simulation model can be directly used for model simulation calculations.

[0055] In one embodiment, if Figure 3 As shown, in step S32, the model parameters of the preset initial urban waterlogging deduction model are quantified to obtain the preset urban waterlogging deduction model, including: S321: In the preset initial urban waterlogging simulation model, multiple model parameters to be analyzed are screened out based on the uncertainty of the model parameters, and the sensitivity analysis algorithm corresponding to each model parameter to be analyzed is determined. The multiple model parameters to be analyzed include pipe diameter, sediment depth, top roughness coefficient, and bottom roughness coefficient.

[0056] Specifically, the sensitivity analysis algorithms include the Sobol sensitivity analysis algorithm, the Morris sensitivity analysis algorithm and the MCMC sensitivity analysis algorithm; the Sobol sensitivity analysis algorithm is a global sensitivity analysis method, which belongs to the variation method. It determines the influence of parameter variance on model output variance based on variance decomposition, and determines the parameters that have a significant impact on the uncertainty of the entire urban waterlogging simulation model; the Morris sensitivity analysis algorithm qualitatively measures the importance of each model parameter to be analyzed; the MCMC sensitivity analysis algorithm is based on the Markov chain (hereinafter referred to as Markov chain) random sampling method in state space, which aims to restore the properties of the unknown probability distribution by constructing a Markov chain with the required distribution as its steady-state distribution π(y), that is, to obtain the posterior distribution of the variable, so as to approximately reflect the characteristics of the target distribution π(y), and efficiently complete the research and analysis of complex urban waterlogging simulation models.

[0057] The multiple model parameters to be analyzed are the key parameters that may have a significant impact on the simulation results selected from the numerous model parameters. These key parameters are often uncertain parameters that are difficult to measure or have large measurement errors. According to the provisions of the "Technical Regulations for the Inspection and Evaluation of Urban Drainage Pipelines", the defects in the drainage network mainly affect the water-passing cross-sectional area, roughness coefficient, and pipe diameter of the pipe. Therefore, this application selects pipe diameter, sediment depth, top roughness coefficient, and bottom roughness coefficient as uncertainty parameters for the sensitivity analysis of pipeline hydrodynamic parameters in the urban waterlogging simulation model.

[0058] In this embodiment, due to the complexity of its structure and its huge scale, the urban drainage network will inevitably deviate from the actual system situation after the mathematical model of the initial urban waterlogging simulation model is established. This deviation mainly comes from the uncertainty of the model; therefore, before establishing the drainage network model, it is crucial to identify the uncertainty in the model and optimize the parameters. The technical solution of this application focuses on the changing laws of the internal hydrodynamics of the pipeline. Therefore, it is necessary to perform a sensitivity analysis on the pipeline parameters, screen out model parameters with greater uncertainty influence and higher sensitivity (referring to multiple model parameters to be analyzed), and use them as the key parameters for quantifying pipeline health, so as to provide a model quantification reference for the correction of the urban waterlogging simulation model.

[0059] Specifically, the sensitivity analysis algorithm is used to identify the parameters that have the greatest impact on the model output (i.e., the target quantitative parameters), and these parameters are quantitatively adjusted in a targeted manner, so that the model can maintain relatively stable prediction performance under different environmental conditions and input data, thereby enhancing the robustness and adaptability of the model.

[0060] S322: Perform parameter sensitivity analysis on the parameters to be analyzed of each model based on the sensitivity analysis algorithm to obtain parameter sensitivity analysis results; determine the target quantitative parameters based on the parameter sensitivity analysis results.

[0061] Specifically, the quantitative parameter results of the model based on the health of drainage facilities as the optimization target can guide urban managers to rationally allocate resources during the planning, construction and maintenance of flood control facilities.

[0062] S323: Adjust different target quantization parameters to quantize model parameters of the preset initial urban waterlogging simulation model in turn, obtain corresponding multiple model simulation values, and obtain actual measurement values ​​corresponding to the multiple model simulation values.

[0063] S324: Perform difference analysis on multiple model simulation values ​​and corresponding multiple actual measurement values ​​to determine the model quantitative parameter results based on the health of drainage facilities as the optimization target, so as to obtain a preset urban waterlogging simulation model.

[0064] In this embodiment, the model quantification parameter results based on the health of drainage facilities as the optimization target can guide urban managers to reasonably allocate resources in the planning, construction and maintenance of flood control facilities. For example, for areas or parameters with higher sensitivity, priority can be given to upgrading or strengthening monitoring, thereby improving flood control efficiency and reducing overall costs. Not only does it improve the accuracy of waterlogging prediction, but it also provides the city's emergency management department with the ability to respond quickly through the close combination of real-time monitoring and model simulation. Once the model predicts a possible waterlogging risk, the relevant departments can immediately activate the emergency plan and take effective measures to reduce disaster losses.

[0065] In one embodiment, if Figure 4 As shown, in step S4, based on the urban waterlogging simulation results, a number of waterlogging monitoring units are generated in the target city monitoring area, and waterlogging monitoring data of each waterlogging monitoring unit is collected, including: S41: Calculating waterlogging area data of the target city monitoring area based on the urban waterlogging simulation result, where the waterlogging area data includes a number of waterlogging areas and corresponding waterlogging area distribution data.

[0066] In this embodiment, the urban waterlogging monitoring unit is based on the urban waterlogging simulation results of the urban waterlogging simulation model, and the predicted output urban waterlogging focus area is the early warning area with greater threat of urban waterlogging.

[0067] S42: Compare the waterlogging area distribution data of all waterlogging areas with the preset waterlogging warning values ​​to obtain corresponding waterlogging area distribution results and distribution positions.

[0068] Specifically, the waterlogging area distribution data of the target city's monitoring area is compared with the waterlogging warning value to predict the severity of waterlogging in the target city's monitoring area, and the waterlogging areas predicted to exceed the waterlogging warning value in the urban waterlogging simulation results are highlighted to generate waterlogging monitoring units.

[0069] S43: Based on the acquired river water level boundary data, the waterlogging area distribution results and distribution positions of the plurality of waterlogging areas, a plurality of waterlogging monitoring units are generated in the monitoring area of ​​the target city.

[0070] Specifically, the boundary of the river waterlogging basin is obtained based on the river water level boundary data, and the waterlogging basin is calculated based on the waterlogging area distribution results and distribution positions of several waterlogging areas to obtain several initial waterlogging monitoring units. Then, based on the waterlogging warning values, the several initial waterlogging monitoring units are corrected to form several waterlogging monitoring units.

[0071] Furthermore, the waterlogging warning value can be customized or updated and adjusted according to the actual flood control and drainage capacity of the flood control and drainage facilities, so as to improve the monitoring efficiency of the target city monitoring area.

[0072] In one embodiment, if Figure 5 As shown, after step S43, a method for predicting and monitoring urban waterlogging further includes: S431: According to the urban waterlogging simulation results, the perception monitoring facility information corresponding to a number of waterlogging monitoring units is obtained; the perception monitoring facilities are associated with the perception facility identifiers.

[0073] In this embodiment, the perception monitoring facility information includes the perception monitoring facility product type information and working mode information; the perception facility identification includes the unique product information code and installation location information of the perception monitoring facility.

[0074] S432: triggering a flood control response monitoring instruction, obtaining the perception monitoring data of the perception monitoring facilities corresponding to the information of several perception monitoring facilities; based on the perception facility identification, sending different perception monitoring data to a preset alarm judgment model, identifying and obtaining the alarm threshold interval corresponding to the perception monitoring data.

[0075] Specifically, the perception monitoring facilities are provided with a sleep mode and a working mode; the perception monitoring facilities corresponding to the perception monitoring facility information are switched between the sleep mode and the working mode by triggering commands based on flood control response monitoring commands; when not in use, the perception monitoring facilities are in a sleep mode with lower energy consumption, but before the flood season and throughout the flood season, they need to be switched to the working state.

[0076] S433: Determine whether the perception monitoring data is within the corresponding alarm threshold range.

[0077] Specifically, the perception monitoring facilities also have a monitoring and early warning function. Different types of perception monitoring facilities are associated with corresponding perception facility identifiers, and corresponding alarm threshold intervals are pre-set to facilitate analysis of whether there are abnormalities in the perception monitoring data collected by each perception monitoring facility.

[0078] S434: When a certain sensing monitoring data is within the corresponding alarm threshold interval, an alarm prompt message is generated based on the sensing facility identifier corresponding to the sensing monitoring data and sent to a preset monitoring user terminal.

[0079] Specifically, when a certain perception monitoring data is within the corresponding alarm threshold range, it indicates that the perception monitoring data collected by the perception monitoring facility is abnormal. At this time, an alarm prompt message is output and sent to the monitoring user terminal, which is helpful in assisting monitoring personnel in urban waterlogging prediction and monitoring operations, and is beneficial to improving the monitoring and early warning response capabilities of the urban flood and typhoon emergency dispatch platform.

[0080] and / or, S435: triggering a flood control and drainage facility pre-control instruction according to the flood control activation plan and the urban waterlogging simulation results; and pre-controlling the flood control and drainage facilities corresponding to the current flood control and drainage facility information based on the flood control and drainage facility pre-control instruction.

[0081] Specifically, the present application can also pre-control the flood control and drainage facilities corresponding to the current flood control and drainage facility information based on the flood control and drainage facility pre-control instructions, such as the flood control pre-control response of the pump station, that is, early opening of the flood-related pump stations, pump station pre-discharge response operations, etc., which is more convenient to operate.

[0082] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence 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.

[0083] In one embodiment, a system for predicting and monitoring urban waterlogging is provided, and the system for predicting and monitoring urban waterlogging corresponds to a method for predicting and monitoring urban waterlogging in the above embodiment.

[0084] An urban waterlogging prediction and monitoring system includes a historical waterlogging information and flood control plan acquisition module, a flood control and drainage facility information determination module, an urban waterlogging simulation calculation module, a waterlogging waterlogging monitoring unit generation and monitoring module, and a deviation judgment and adjustment module. The detailed description of each functional module is as follows: The module for acquiring historical waterlogging information and flood control plans is used to acquire historical waterlogging distribution information and flood control activation plans in the target city’s monitoring area based on the collected rainfall forecast data and rainfall warning levels in the target city’s monitoring area; The flood control and drainage facility information determination module is used to obtain the current flood control and drainage facility information and the corresponding drainage facility status results based on the historical waterlogging distribution information and the flood control activation plan; The urban waterlogging simulation calculation module is used to perform urban waterlogging simulation calculations based on the rainfall forecast data, historical waterlogging distribution information, flood prevention activation plan and corresponding drainage facility status results in the predicted urban waterlogging deduction model to obtain urban waterlogging simulation results; The waterlogging monitoring unit generation and monitoring module is used to generate a number of waterlogging monitoring units in the target city monitoring area based on the urban waterlogging simulation results, and collect waterlogging monitoring data of each waterlogging monitoring unit; The deviation judgment adjustment module is used to optimize the predicted urban waterlogging simulation model when the urban waterlogging simulation results and the waterlogging waterlogging monitoring data meet the preset deviation judgment adjustment conditions.

[0085] Optionally, the urban waterlogging prediction and monitoring system also includes a flood control personnel vehicle monitoring subsystem and a flood control perception monitoring subsystem: The flood prevention personnel vehicle monitoring subsystem includes a handheld operation terminal, a driving camera, a positioning module, a patrol monitoring unit, a rescue monitoring unit and a pump truck monitoring unit. The driving camera, the positioning module and the patrol monitoring unit are installed on the flood prevention patrol vehicle corresponding to the flood prevention patrol vehicle information. The rescue monitoring unit and the pump truck monitoring unit are deployed in the target city monitoring area. The flood prevention and typhoon prevention monitoring data of the target city monitoring area are obtained through the flood prevention personnel vehicle monitoring subsystem; The flood control perception monitoring subsystem includes road surface waterlogging monitoring stations, river level meters, pipe network level meters, pipe network flow meters, rain gauges and rainfall forecast data interfaces that are deployed in the target city's monitoring area and communicated with preset monitoring user terminals. Real-time waterlogging monitoring data in the target city's monitoring area is obtained through the flood control perception monitoring subsystem.

[0086] In this embodiment, the flood prevention personnel vehicle monitoring subsystem and the flood prevention perception monitoring subsystem are used to monitor the implementation of the flood prevention activation plan and obtain the disposal of the urban flood and typhoon emergency dispatch during the entire flood season; specifically, the handheld operation terminal is used to carry the mobile terminal APP of the flood prevention and typhoon emergency dispatch for on-site operations, the driving camera is used to record the driving monitoring video of the flood prevention patrol vehicle, the positioning module is used to collect high-precision real-time positioning of the flood prevention patrol vehicle, the emergency monitoring unit is used to monitor the power consumption data of the electrical equipment in the flood prevention patrol facilities, and the pump truck monitoring unit is used to monitor the operation data and drainage data of the water pump; the road surface waterlogging monitoring station is used to monitor the depth of road surface waterlogging and monitor the waterlogging of urban roads; the river level meter is used to monitor the water level of the urban river, the pipe network level meter is used to monitor the water level of the drainage pipe, the pipe network flow meter is used to monitor the water level and flow of the drainage pipe and the discharge outlet, the rain gauge is used to monitor the rainfall intensity and accumulated rainfall, and the rainfall forecast data interface is used to receive rainfall forecast data for a specified time in advance.

[0087] For the specific limitations of the urban waterlogging prediction and monitoring system, please refer to the limitations of an urban waterlogging prediction and monitoring method in the above text, which will not be repeated here; each module in the above-mentioned urban waterlogging prediction and monitoring system can be implemented in whole or in part through software, hardware and a combination thereof; each of 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 corresponding operations of each of the above modules.

[0088] 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 6 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 urban waterlogging simulation results, waterlogging monitoring data and urban waterlogging deduction models. 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 method for predicting and monitoring urban waterlogging is implemented.

[0089] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: S1: Based on the collected rainfall forecast data and rainfall warning level of the target city monitoring area, obtain the historical waterlogging distribution information and flood control activation plan of the target city monitoring area; S2: Based on the historical waterlogging distribution information and the flood control activation plan, obtain the current flood control drainage facility information and the corresponding drainage facility status results; S3: In the predicted urban waterlogging simulation model, urban waterlogging simulation calculation is performed based on the rainfall forecast data, historical waterlogging distribution information, flood control activation plan and corresponding drainage facility status results of the target city monitoring area to obtain the urban waterlogging simulation results; S4: Based on the urban waterlogging simulation results, a number of waterlogging monitoring units are generated in the target urban monitoring area, and waterlogging monitoring data of each waterlogging monitoring unit is collected; S5: When the urban waterlogging simulation results and the waterlogging monitoring data meet the preset deviation judgment adjustment conditions, the predicted urban waterlogging simulation model is optimized.

[0090] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: S1: Based on the collected rainfall forecast data and rainfall warning level of the target city monitoring area, obtain the historical waterlogging distribution information and flood control activation plan of the target city monitoring area; S2: Based on the historical waterlogging distribution information and the flood control activation plan, obtain the current flood control drainage facility information and the corresponding drainage facility status results; S3: In the predicted urban waterlogging simulation model, urban waterlogging simulation calculation is performed based on the rainfall forecast data, historical waterlogging distribution information, flood control activation plan and corresponding drainage facility status results of the target city monitoring area to obtain the urban waterlogging simulation results; S4: Based on the urban waterlogging simulation results, a number of waterlogging monitoring units are generated in the target urban monitoring area, and waterlogging monitoring data of each waterlogging monitoring unit is collected; S5: When the urban waterlogging simulation results and the waterlogging monitoring data meet the preset deviation judgment adjustment conditions, the predicted urban waterlogging simulation model is optimized.

[0091] 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.

[0092] 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.

[0093] 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, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof 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 predicting and monitoring urban waterlogging, characterized in that: include: Based on the collected rainfall forecast data and rainfall warning level of the target city monitoring area, the historical waterlogging distribution information and flood prevention activation plan of the target city monitoring area are obtained; According to the historical waterlogging distribution information and the flood control activation plan, obtain the current flood control drainage facility information and the corresponding drainage facility status results; In the predicted urban waterlogging simulation model, urban waterlogging simulation calculation is performed based on the rainfall forecast data, historical waterlogging distribution information, flood prevention activation plan and corresponding drainage facility status results of the target city monitoring area to obtain the urban waterlogging simulation results; Based on the urban waterlogging simulation result, a plurality of waterlogging monitoring units are generated in the target urban monitoring area, and waterlogging monitoring data of each of the waterlogging monitoring units is collected; When the urban waterlogging simulation result and the waterlogging monitoring data satisfy a preset deviation judgment adjustment condition, the predicted urban waterlogging deduction model is optimized.

2. The urban waterlogging prediction and monitoring method according to claim 1, characterized in that: The historical waterlogging distribution information includes historical waterlogging distribution areas; the current flood control drainage facility information and corresponding drainage facility status results are obtained based on the historical waterlogging distribution information and the flood control activation plan, including: Based on the historical waterlogging distribution area, the flood prevention patrol personnel information, flood prevention patrol vehicle information and flood prevention drainage facility information of the flood prevention activation plan are obtained; and the flood prevention patrol vehicle corresponding to the flood prevention patrol vehicle information is provided with a patrol monitoring unit for obtaining surveillance video during the flood prevention patrol process; Generate a corresponding flood inspection work order based on the flood inspection personnel information, flood inspection vehicle information and flood control drainage facility information, and distribute it to the flood inspection personnel terminal corresponding to the flood inspection personnel information; obtain the first drainage facility status information based on the flood inspection work order; and obtain the second drainage facility status information through the monitoring video of the inspection and monitoring unit; A corresponding drainage facility status result is obtained according to the first drainage facility status information and the second drainage facility status information.

3. The urban waterlogging prediction and monitoring method according to claim 1, characterized in that: The drainage facility status result includes a normal drainage facility status and an abnormal drainage facility status; in the predicted urban waterlogging simulation model, based on the rainfall forecast data of the target city monitoring area, the historical waterlogging distribution information, the flood prevention activation plan and the corresponding drainage facility status result, the urban waterlogging simulation calculation is performed, and before obtaining the urban waterlogging simulation result, it includes: Associating the plurality of flood control and drainage facilities corresponding to the flood control and drainage facility information with drainage facility identifiers; identifying and determining drainage facility status results of the plurality of flood control and drainage facilities; the flood control and drainage facilities include inspection wells, rainwater inlets, and discharge outlets; When the drainage facility status result of a certain flood control and drainage facility is an abnormal drainage facility status, an abnormal information prompt instruction is generated based on the drainage facility identification of the flood control and drainage facility; the abnormal drainage facility status of the inspection well includes a damaged well frame, a damaged well cover, a buried well cover, a lost well cover, a protruding or sunken cover frame, and water accumulation on the well cover; the abnormal drainage facility status of the rainwater outlet includes internal blockage of the rainwater outlet, a protruding or sunken rainwater outlet frame, a damaged rainwater outlet frame, a damaged rainwater grate, a lost rainwater grate, water accumulation on the surface of the rainwater outlet, blocked holes, and water accumulation inside the rainwater outlet; the abnormal drainage facility status of the discharge outlet includes obstruction of the discharge outlet and overflow in dry days; based on the abnormal information prompt instruction, the model parameters of the preset initial urban waterlogging deduction model are quantified to obtain the preset urban waterlogging deduction model.

4. The urban waterlogging prediction and monitoring method according to claim 3, characterized in that: The step of quantifying model parameters of the preset initial urban waterlogging deduction model to obtain the preset urban waterlogging deduction model includes: In the preset initial urban waterlogging simulation model, multiple model parameters to be analyzed are screened out based on the uncertainty of the model parameters, and the sensitivity analysis algorithm corresponding to each of the model parameters to be analyzed is determined. The multiple model parameters to be analyzed include pipe diameter, sediment depth, top roughness coefficient, and bottom roughness coefficient; Perform parameter sensitivity analysis on each of the model parameters to be analyzed based on the sensitivity analysis algorithm to obtain parameter sensitivity analysis results; determine the target quantitative parameter based on the parameter sensitivity analysis results; Adjusting different target quantization parameters to sequentially quantize model parameters of the preset initial urban waterlogging simulation model, obtaining a corresponding plurality of model simulation values, and obtaining actual measurement values ​​corresponding to the plurality of model simulation values; A difference analysis is performed between the plurality of model simulation values ​​and the corresponding plurality of actual measurement values ​​to determine the model quantification parameter results based on the health of the drainage facilities as the optimization target, so as to obtain the preset urban waterlogging simulation model.

5. The urban waterlogging prediction and monitoring method according to claim 1, characterized in that: Based on the urban waterlogging simulation result, a plurality of waterlogging monitoring units are generated in the target city monitoring area, and waterlogging monitoring data of each waterlogging monitoring unit is collected, including: Calculating waterlogging area data of the target city monitoring area based on the urban waterlogging simulation result, wherein the waterlogging area data includes a plurality of waterlogging areas and corresponding waterlogging area distribution data; Compare the waterlogging area distribution data of all the waterlogging areas with the preset waterlogging warning values ​​to obtain corresponding waterlogging area distribution results and distribution positions; Based on the acquired river water level boundary data, the waterlogging area distribution results and distribution positions of the plurality of waterlogging areas, a plurality of waterlogging monitoring units are generated in the target city monitoring area.

6. The urban waterlogging prediction and monitoring method according to claim 5, characterized in that: After generating a plurality of waterlogging monitoring units in the target city monitoring area based on the acquired river water level boundary data, the waterlogging area distribution results and distribution positions of the plurality of waterlogging areas, the method further includes: According to the urban waterlogging simulation result, the sensing monitoring facility information corresponding to the plurality of waterlogging waterlogging monitoring units is obtained; the sensing monitoring facility is associated with a sensing facility identifier; Triggering a flood control response monitoring instruction, obtaining the perception monitoring data of the perception monitoring facilities corresponding to the perception monitoring facility information; based on the perception facility identifier, sending different perception monitoring data to a preset alarm judgment model, identifying and obtaining the alarm threshold interval corresponding to the perception monitoring data; Determine whether the sensing monitoring data is within the corresponding alarm threshold range; When a certain sensing monitoring data is within the corresponding alarm threshold interval, based on the sensing facility identifier corresponding to the sensing monitoring data, an alarm prompt message is generated and sent to a preset monitoring user terminal; and / or, According to the flood prevention activation plan and the urban waterlogging simulation results, a flood prevention and drainage facility pre-control instruction is triggered; based on the flood prevention and drainage facility pre-control instruction, the flood prevention and drainage facilities corresponding to the current flood prevention and drainage facility information are pre-controlled.

7. An urban waterlogging prediction and monitoring system, characterized in that the system include: A historical waterlogging information and flood control plan acquisition module is used to acquire historical waterlogging distribution information and flood control activation plans for the target city monitoring area based on the collected rainfall forecast data and rainfall warning levels for the target city monitoring area; A flood control and drainage facility information determination module is used to obtain current flood control and drainage facility information and corresponding drainage facility status results based on the historical waterlogging distribution information and the flood control activation plan; The urban waterlogging simulation calculation module is used to perform urban waterlogging simulation calculations in the predicted urban waterlogging deduction model based on the rainfall forecast data, historical waterlogging distribution information, flood prevention activation plan and corresponding drainage facility status results of the target city monitoring area to obtain urban waterlogging simulation results; A waterlogging monitoring unit generation and monitoring module, configured to generate a plurality of waterlogging monitoring units in the target city monitoring area based on the urban waterlogging simulation result, and collect waterlogging monitoring data of each of the waterlogging monitoring units; The deviation judgment adjustment module is used to optimize the predicted urban waterlogging deduction model when the urban waterlogging simulation result and the waterlogging waterlogging monitoring data meet the preset deviation judgment adjustment conditions.

8. The urban waterlogging prediction and monitoring system according to claim 7, characterized in that: The system also includes a flood control personnel vehicle monitoring subsystem and a flood control perception monitoring subsystem; The flood prevention personnel vehicle monitoring subsystem includes a handheld operation terminal, a driving camera, a positioning module, a patrol monitoring unit, a rescue monitoring unit and a pump truck monitoring unit. The driving camera, the positioning module and the patrol monitoring unit are installed on the flood prevention patrol vehicle corresponding to the flood prevention patrol vehicle information. The rescue monitoring unit and the pump truck monitoring unit are arranged in the target city monitoring area. The flood prevention and typhoon prevention monitoring data of the target city monitoring area are obtained through the flood prevention personnel vehicle monitoring subsystem; The flood prevention perception monitoring subsystem includes a road surface waterlogging monitoring station, a river level meter, a pipe network level meter, a pipe network flow meter, a rain gauge and a rainfall forecast data interface which are arranged in the target city monitoring area and are communicatively connected to a preset monitoring user terminal. Real-time waterlogging monitoring data of the target city monitoring area is obtained through the flood prevention perception monitoring subsystem.

9. 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 urban waterlogging prediction and monitoring method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the urban waterlogging prediction and monitoring method as described in any one of claims 1 to 6 are implemented.

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