A method, equipment, and medium for urban drainage scheduling based on digital twins.

Abstract

This invention discloses a method, equipment, and medium for urban drainage scheduling based on digital twins, belonging to the field of urban drainage scheduling technology. It addresses the serious data silo problem in existing urban flood control technologies, which rely on static parameters and lack optimized pump station-gate scheduling strategies, leading to delayed risk warnings. The method includes: acquiring drainage system distribution data of the target urban area and constructing a digital twin base plate for the drainage system based on this data; collecting water volume monitoring information of the target urban area and integrating it with the digital twin base plate to form a digital twin model of the drainage system; constructing a topological network diagram of the drainage system of the target urban area; formulating scheduling plans for different drainage scenarios based on the drainage system topological network diagram; simulating the scheduling plans in the digital twin model of the drainage system to determine the optimal scheduling plan and storing it in a scheduling plan library.

Description

Technical Field

[0001] This invention relates to the field of urban drainage scheduling technology, and in particular to an urban drainage scheduling method, equipment and medium based on digital twins. Background Technology

[0002] With accelerated urbanization and frequent extreme weather events, urban flooding has become a key challenge restricting the safe operation of cities. Existing urban flooding prevention and control technologies suffer from the following technical bottlenecks:

[0003] First, the current urban water system relies on independent monitoring networks such as drainage pipe networks, river hydrology, and pumping station operation. However, the inconsistent data formats and heterogeneous transmission protocols among departments result in weak multi-source data fusion capabilities, forming "data silos" that make it difficult to support cross-domain data linkage analysis and hinder the overall assessment of urban flooding risks.

[0004] Secondly, existing hydrological and hydrodynamic models generally use static parameter configurations and fail to establish a real-time dynamic coupling mechanism for rainfall spatiotemporal distribution, pipeline flow capacity, and river flood discharge capacity. When encountering short-term heavy rainfall or pipeline overload, the model prediction results deviate significantly from the actual operating conditions, resulting in a lag in risk warning.

[0005] Furthermore, the coordinated scheduling of pumping stations and gates lacks quantitative optimization models and relies on manual experience for decision-making, making it difficult to balance multiple objectives such as flood control and drainage, water quality protection, and ecological water replenishment. Under complex water conditions, emergency response efficiency is low, and the best opportunity for handling is easily missed.

[0006] Finally, the traditional urban flood control system focuses on post-disaster response and lacks a closed-loop management capability encompassing the entire chain of "monitoring-early warning-dispatch-assessment". The response cycle from risk identification to emergency resource allocation is relatively long, making it difficult to meet the needs of refined urban governance.

[0007] In summary, existing urban flood control and management technologies have poor multi-source data fusion capabilities, serious data silo problems, and rely on static parameters. They cannot dynamically couple the real-time changes in rainfall forecasts, pipeline flow capacity, and river flood discharge capacity. They also lack pump station-gate scheduling optimization strategies, resulting in delayed risk warnings, weak emergency response capabilities, and an inability to meet current urban flood control needs. Summary of the Invention

[0008] This invention provides a digital twin-based urban drainage scheduling method, equipment, and medium to address the following technical problems: existing urban flood control technologies suffer from severe data silos, rely on static parameters, and lack pump station-gate scheduling optimization strategies, resulting in delayed risk warnings.

[0009] The embodiments of the present invention adopt the following technical solutions:

[0010] On the one hand, embodiments of the present invention provide a method for urban drainage scheduling based on digital twins, the method comprising: acquiring drainage system distribution data of a target urban area, and constructing a digital twin base plate of the drainage system of the target urban area based on the drainage system distribution data;

[0011] Water volume monitoring information of the target urban area is collected and integrated with the digital twin base plate of the drainage system to form a digital twin model of the drainage system;

[0012] Construct a topology network diagram of the drainage system in the target urban area;

[0013] Based on the drainage system topology network diagram, formulate scheduling plans for different flood drainage scenarios;

[0014] The scheduling plan is simulated in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in the scheduling plan library.

[0015] In one feasible implementation, obtaining the distribution data of the drainage system in the target urban area specifically includes:

[0016] A drone equipped with a five-lens tilting camera was used to take aerial photos of the target urban area at a preset resolution, resulting in a target video stream.

[0017] Several image frames are extracted from the target video stream; the image frames are stitched together to display the entire target urban area.

[0018] The image frames are stitched together, and drainage facility targets are identified within them; wherein, the drainage facility targets include at least drainage pipe networks, river cross sections, pumping station facilities, and flood-prone areas;

[0019] Based on the location of the drainage facilities, construct the drainage system distribution data for the target urban area.

[0020] In one feasible implementation, a digital twin baseboard of the drainage system for the target urban area is constructed based on the drainage system distribution data, specifically including:

[0021] Obtain the operating parameters of the drainage facility target; wherein, the operating parameters include at least: the pump power, head, flow rate curves of the pump station, and the gate opening-water level relationship curve;

[0022] The operating parameters are fused with the drainage system distribution data to form the digital twin base of the drainage system.

[0023] In one feasible implementation, water volume monitoring information of the target urban area is collected and integrated with the digital twin base plate of the drainage system to form a digital twin model of the drainage system, specifically including:

[0024] The water monitoring information includes at least meteorological forecast data released by the meteorological department, real-time rainfall monitoring information from rainfall monitoring stations, and water level monitoring information for rivers, lakes, ports, and canals.

[0025] Construct a three-dimensional scene model of the target urban area;

[0026] The meteorological forecast data, real-time rainfall monitoring information, and river, lake, and canal water level monitoring information are integrated with the digital twin base plate of the drainage system and mapped onto the three-dimensional scene model to obtain the digital twin model of the drainage system.

[0027] In one feasible implementation, a topological network diagram of the drainage system of the target urban area is constructed, specifically including:

[0028] Based on the drainage system distribution data of the target urban area, a hydraulic model of the drainage pipe network of the target urban area is constructed.

[0029] In the hydraulic model of the drainage network, the types of monitoring stations in each water system and the relationships between them are analyzed; wherein, the monitoring stations in each water system include at least pumping stations, gates, and inspection wells; and the relationships include at least pipe sections and river channels connecting two monitoring stations.

[0030] The water system monitoring stations are defined as nodes, the relationships are defined as edges, and the drainage system topology network diagram is constructed by combining the spatial topology of each water system in the target urban area.

[0031] In one feasible implementation, based on the drainage system topology network diagram, scheduling plans for different flood drainage scenarios are formulated, specifically including:

[0032] The key features of the drainage system topology network diagram mentioned above include at least bottleneck pipe sections, critical facilities, and vulnerable areas.

[0033] A pre-built basic scheduling rule base based on hydraulic principles;

[0034] Under different preset scenarios, the flood control determinant factors among the key features are determined, and the corresponding basic scheduling rules are matched in the basic scheduling rule base according to the flood control determinant factors.

[0035] The basic scheduling rules are constructed into a complete scheduling plan according to the water flow direction in the drainage system topology network diagram.

[0036] In one feasible implementation, the scheduling plan is simulated in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in a scheduling plan library, specifically including:

[0037] Each scheduling plan is loaded into the digital twin model of the drainage system, and the drainage process is simulated.

[0038] The drainage effect is evaluated based on several drainage indicators, and evaluation indicators are output; among them, the drainage indicators include at least the distribution of pipeline pressure, changes in river water level, and the rate of water receding.

[0039] The evaluation indicators are weighted and calculated to obtain the evaluation value of each scheduling plan;

[0040] The scheduling plan with the highest evaluation value is determined as the optimal scheduling plan and stored in the scheduling plan library.

[0041] In one feasible implementation, after determining the scheduling plan with the highest evaluation value as the optimal scheduling plan and storing it in the scheduling plan library, the method further includes:

[0042] Other scheduling plans that were not determined as the best scheduling plan are stored in the backup scheduling plan library in descending order of evaluation value, as alternative plans when the best scheduling plan does not perform well in actual execution.

[0043] On the other hand, embodiments of the present invention also provide an urban drainage dispatching device based on digital twins, the device comprising:

[0044] At least one processor; and,

[0045] A memory communicatively connected to the at least one processor; wherein,

[0046] The memory stores instructions that can be executed by the at least one processor, enabling the at least one processor to perform the following:

[0047] Obtain the distribution data of the drainage system in the target urban area, and construct a digital twin base of the drainage system in the target urban area based on the distribution data of the drainage system;

[0048] Water volume monitoring information of the target urban area is collected and integrated with the digital twin base plate of the drainage system to form a digital twin model of the drainage system;

[0049] Construct a topology network diagram of the drainage system in the target urban area;

[0050] Based on the drainage system topology network diagram, formulate scheduling plans for different flood drainage scenarios;

[0051] The scheduling plan is simulated in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in the scheduling plan library.

[0052] Finally, in another aspect, embodiments of the present invention also provide a storage medium, which is a non-volatile computer-readable storage medium storing at least one program, each program including instructions that, when executed by a terminal, cause the terminal to perform:

[0053] Obtain the distribution data of the drainage system in the target urban area, and construct a digital twin base of the drainage system in the target urban area based on the distribution data of the drainage system;

[0054] Water volume monitoring information of the target urban area is collected and integrated with the digital twin base plate of the drainage system to form a digital twin model of the drainage system;

[0055] Construct a topology network diagram of the drainage system in the target urban area;

[0056] Based on the drainage system topology network diagram, formulate scheduling plans for different flood drainage scenarios;

[0057] The scheduling plan is simulated in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in the scheduling plan library.

[0058] Compared with the prior art, the urban drainage scheduling method, equipment and medium based on digital twin provided by the embodiments of the present invention have the following beneficial effects:

[0059] This invention constructs an integrated "sky-ground" urban drainage monitoring network through IoT-based global sensing and digital twin modeling, enabling dynamic coupled simulation of rainfall forecasting, pipeline transport, and river flood discharge. By using digital twin simulation to develop optimal contingency plans for pump and gate joint operation, it significantly improves the ability to predict urban flooding risks, the efficiency of multi-objective collaborative response, and the level of dynamic control throughout the entire process. It achieves real-time perception of rainstorm conditions and early warning of urban flooding risks. Through digital twin technology, it conducts multi-dimensional simulations of dispatching schemes, combining dynamic parameter optimization and real-time operational simulation to establish a flood control and drainage safety assurance system centered on prevention. This creates a full-chain emergency management system encompassing "early risk warning - rapid emergency response - precise resource allocation," comprehensively improving urban flood control and disaster reduction capabilities and water environment governance. Attached Figure Description

[0060] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0061] Figure 1A flowchart of an urban drainage scheduling method based on digital twins provided in this embodiment of the invention;

[0062] Figure 2 This is a schematic diagram of a digital twin-based urban drainage dispatching device provided in an embodiment of the present invention. Detailed Implementation

[0063] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0064] This invention provides a method for urban drainage scheduling based on digital twins, such as... Figure 1 As shown, the urban drainage scheduling method based on digital twins specifically includes steps S101-S105:

[0065] S101. Obtain the distribution data of the drainage system in the target urban area, and construct a digital twin base of the drainage system in the target urban area based on the distribution data.

[0066] Specifically, firstly, a drone equipped with a five-lens tilting camera is used to take aerial photos of the target urban area at a preset resolution, obtaining a target video stream. Then, several image frames are extracted from the target video stream; after stitching the image frames together, the entire target urban area can be displayed.

[0067] Furthermore, several image frames are stitched together, and drainage facility targets are identified within them; these drainage facility targets include at least drainage pipe networks, river cross sections, pumping station facilities, and flood-prone areas.

[0068] Furthermore, based on the location of the drainage facilities, the distribution data of the drainage system in the target urban area is constructed.

[0069] Furthermore, the operational parameters of the drainage facilities are obtained; these parameters include at least the pump power, head, and flow rate curves of the pumping stations, as well as the gate opening-water level relationship curve. The operational parameters are then integrated with the drainage system distribution data to form a digital twin of the drainage system.

[0070] As a feasible implementation method, a drone equipped with a five-lens oblique camera is used to conduct aerial photography of the urban area at a resolution of 0.05m, constructing a 3D reality model of the drainage network, river cross-section, pumping station facilities, and flood-prone areas. Based on the BIM models of pumping stations and gates, dynamic attributes such as equipment operating parameters (e.g., pump power, head, and flow curves) and gate opening-water level relationship curves are integrated and fused with the oblique photography model to form a digital twin base plate for the urban drainage system.

[0071] S102. Collect water volume monitoring information of the target urban area and integrate it with the digital twin base plate of the drainage system to form a digital twin model of the drainage system.

[0072] Specifically, water monitoring information includes at least meteorological forecast data released by meteorological departments, real-time rainfall monitoring information from rainfall monitoring stations, and water level monitoring information for rivers, lakes, ports, and canals.

[0073] Furthermore, a three-dimensional scene model of the target urban area is constructed. Meteorological forecast data, real-time rainfall monitoring information, and river, lake, and canal water level monitoring information are integrated with the digital twin base plate of the drainage system and mapped onto the three-dimensional scene model to obtain the digital twin model of the drainage system.

[0074] As a feasible implementation method, this approach integrates meteorological forecast data released by meteorological departments and real-time monitoring information from rainfall monitoring stations to achieve real-time meteorological data visualization; it also integrates river, lake, and canal water level monitoring information to enable monitoring station queries, real-time monitoring information viewing, and analysis of water level rise trends. It monitors and issues alarms for urban flooding risks, monitors the operation of drainage facilities such as sluice gates and valves, and provides video surveillance of urban flooding. Simultaneously, this data is mapped onto a three-dimensional urban scene to form a digital twin model, supporting urban drainage scheduling.

[0075] S103. Construct a topology network diagram of the drainage system in the target urban area.

[0076] Specifically, a hydraulic model of the drainage network of the target urban area is constructed based on the distribution data of the drainage system in the target urban area.

[0077] Furthermore, in the hydraulic model of the drainage network, the types of monitoring stations in each water system and the relationships between them are analyzed; among them, the monitoring stations include at least pumping stations, gates and inspection wells; the relationships include at least the pipe sections and river channels connecting two monitoring stations.

[0078] Furthermore, water system monitoring stations are defined as nodes, relationships are defined as edges, and a drainage system topology network diagram is constructed by combining the spatial topology of each water system in the target urban area.

[0079] As a feasible implementation method, a hydraulic model of the drainage network is constructed based on SWMM; the types of monitoring stations and the relationships between water systems are analyzed; a drainage system topology network is constructed by combining the spatial topology of water systems in the urban area; the connectivity between nodes (pump stations, gates, manholes) and edges (pipe sections, rivers) is defined; and the drainage service area and upstream and downstream impact range of each pump station are calculated.

[0080] S104. Based on the drainage system topology network diagram, formulate dispatch plans for different flood drainage scenarios;

[0081] Specifically, the key features of the pre-drainage system topology network diagram; among which, the key features include at least bottleneck pipe sections, critical facilities, and vulnerable areas.

[0082] Furthermore, a basic scheduling rule base is pre-built based on hydraulic principles. Under different preset scenarios, the flood control determinants among the key features are determined, and the corresponding basic scheduling rules are matched in the basic scheduling rule base according to the flood control determinants.

[0083] Furthermore, the basic scheduling rules are constructed into a complete scheduling plan based on the water flow direction in the drainage system topology network diagram.

[0084] S105. Simulate the scheduling plan in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in the scheduling plan library.

[0085] Specifically, various scheduling plans are loaded into the digital twin model of the drainage system, and the drainage process is simulated.

[0086] The drainage effect is evaluated for several drainage indicators, and evaluation indicators are output; among them, drainage indicators include at least the distribution of pipeline pressure, changes in river water level, and the rate of water receding.

[0087] Furthermore, the evaluation indicators are weighted to obtain the evaluation value of each scheduling plan; the scheduling plan with the highest evaluation value is determined as the best scheduling plan and stored in the scheduling plan library so that the scheduling plan can be directly retrieved when similar scenarios occur in the future.

[0088] As a feasible implementation method, scheduling plans for different flood drainage scenarios are formulated based on the topology network diagram of the drainage system. The parameters of each plan are loaded into a digital twin scenario of the urban drainage system to simulate the pressure distribution of the pipe network, changes in river water levels, and the process of water receding in real time, outputting evaluation indicators. The plan parameters can be dynamically adjusted according to changes in the scenario, simulating the impact of the plant, network, rivers, and lakes in real time.

[0089] As a preferred implementation, other scheduling plans that are not determined to be the optimal scheduling plan are stored in a backup scheduling plan library in descending order of their evaluation values. These backup plans serve as alternatives when the optimal scheduling plan fails to perform well in practice. Because the optimal scheduling plan is not always 100% applicable to real-world scenarios, other scheduling plans can be retrieved at any time if the drainage effect is found to be unsatisfactory after a period of execution.

[0090] In addition, embodiments of the present invention also provide an urban drainage dispatching device based on digital twins, such as... Figure 2 As shown, the urban drainage dispatching equipment based on digital twins specifically includes:

[0091] At least one processor; and a memory communicatively connected to the at least one processor; wherein,

[0092] The memory stores instructions that can be executed by at least one processor, so that at least one processor can perform the following:

[0093] Obtain the distribution data of the drainage system in the target urban area, and construct a digital twin base of the drainage system in the target urban area based on the distribution data of the drainage system;

[0094] Water volume monitoring information of the target urban area is collected and integrated with the digital twin base plate of the drainage system to form a digital twin model of the drainage system;

[0095] Construct a topology network diagram of the drainage system in the target urban area;

[0096] Based on the drainage system topology network diagram, formulate scheduling plans for different flood drainage scenarios;

[0097] The scheduling plan is simulated in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in the scheduling plan library.

[0098] Finally, this embodiment of the invention also provides a storage medium, which is a non-volatile computer-readable storage medium storing at least one program, each program including instructions that, when executed by a terminal, cause the terminal to perform:

[0099] Obtain the distribution data of the drainage system in the target urban area, and construct a digital twin base of the drainage system in the target urban area based on the distribution data of the drainage system;

[0100] Water volume monitoring information of the target urban area is collected and integrated with the digital twin base plate of the drainage system to form a digital twin model of the drainage system;

[0101] Construct a topology network diagram of the drainage system in the target urban area;

[0102] Based on the drainage system topology network diagram, formulate scheduling plans for different flood drainage scenarios;

[0103] The scheduling plan is simulated in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in the scheduling plan library.

[0104] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0105] For ease of description, the above devices are described in terms of function, divided into various units. Of course, in implementing this specification, the functions of each unit can be implemented in one or more software and / or hardware components.

[0106] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0108] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0109] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0110] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0111] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0112] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0113] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0114] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for urban drainage scheduling based on digital twins, characterized in that, The method includes: Obtain the distribution data of the drainage system in the target urban area, and construct a digital twin base of the drainage system in the target urban area based on the drainage system distribution data; Water volume monitoring information of the target urban area is collected and integrated with the digital twin base plate of the drainage system to form a digital twin model of the drainage system; Constructing the topology network diagram of the drainage system of the target urban area specifically includes: Based on the drainage system distribution data of the target urban area, a hydraulic model of the drainage network of the target urban area is constructed. In the hydraulic model of the drainage network, the types of monitoring stations in each water system and the relationships between them are analyzed; wherein, the monitoring stations in each water system include at least pumping stations, gates, and inspection wells; and the relationships include at least pipe sections and river channels connecting two monitoring stations. The water system monitoring stations are defined as nodes, the relationships are defined as edges, and the drainage system topology network diagram is constructed by combining the spatial topology of each water system in the target urban area. Based on the drainage system topology network diagram, dispatch plans are formulated for different flood drainage scenarios, specifically including: Extract key features from the drainage system topology network diagram; wherein, the key features include at least bottleneck pipe sections, critical facilities, and vulnerable areas; A pre-built basic scheduling rule base based on hydraulic principles; Under different preset scenarios, the flood control determinant factors among the key features are determined, and the corresponding basic scheduling rules are matched in the basic scheduling rule base according to the flood control determinant factors. The basic scheduling rules are constructed into a complete scheduling plan according to the water flow direction in the drainage system topology network diagram; The scheduling plan is simulated in the digital twin model of the drainage system to determine the optimal scheduling plan and store it in the scheduling plan library. Specifically, this includes: Each scheduling plan is loaded into the digital twin model of the drainage system, and the drainage process is simulated. The drainage effect is evaluated based on several drainage indicators, and evaluation indicators are output; among them, the drainage indicators include at least the distribution of pipeline pressure, changes in river water level, and the rate of water receding. The evaluation indicators are weighted and calculated to obtain the evaluation value of each scheduling plan; The scheduling plan with the highest evaluation value is determined as the optimal scheduling plan and stored in the scheduling plan library; Other scheduling plans that were not determined as the best scheduling plan are stored in the backup scheduling plan library in descending order of evaluation value, as alternative plans when the best scheduling plan does not perform well in actual execution.

2. The urban drainage scheduling method based on digital twins according to claim 1, characterized in that, Obtain the distribution data of the drainage system in the target urban area, specifically including: A drone equipped with a five-lens tilting camera was used to take aerial photos of the target urban area at a preset resolution, resulting in a target video stream. Several image frames are extracted from the target video stream; the image frames are stitched together to display the entire target urban area. The image frames are stitched together, and drainage facility targets are identified within them; wherein, the drainage facility targets include at least drainage pipe networks, river cross sections, pumping station facilities, and flood-prone areas; Based on the location of the drainage facilities, construct the drainage system distribution data for the target urban area.

3. The urban drainage scheduling method based on digital twins according to claim 2, characterized in that, Based on the drainage system distribution data, a digital twin baseboard for the drainage system of the target urban area is constructed, specifically including: Obtain the operating parameters of the drainage facility target; wherein, the operating parameters include at least: the pump power, head, flow rate curves of the pump station, and the gate opening-water level relationship curve; The operating parameters are fused with the drainage system distribution data to form the digital twin base of the drainage system.

4. The urban drainage scheduling method based on digital twins according to claim 1, characterized in that, Collect water volume monitoring information of the target urban area and integrate it with the digital twin base plate of the drainage system to form a digital twin model of the drainage system, specifically including: The water monitoring information includes at least meteorological forecast data released by the meteorological department, real-time rainfall monitoring information from rainfall monitoring stations, and water level monitoring information for rivers, lakes, ports, and canals. Construct a three-dimensional scene model of the target urban area; The meteorological forecast data, real-time rainfall monitoring information, and river, lake, and canal water level monitoring information are integrated with the digital twin base plate of the drainage system and mapped onto the three-dimensional scene model to obtain the digital twin model of the drainage system.

5. A digital twin-based urban drainage dispatching device, characterized in that, The device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, enabling the at least one processor to execute a digital twin-based urban drainage scheduling method according to any one of claims 1-4.

6. A storage medium, characterized in that, The storage medium is a non-volatile computer-readable storage medium, which stores at least one program, each program including instructions, which, when executed by a terminal, cause the terminal to perform a digital twin-based urban drainage scheduling method according to any one of claims 1-4.

Images