Method and system for evaluating flood prevention capacity of transformer substation

Abstract

The invention discloses a method and a system for evaluating the flood prevention capability of a transformer substation. The method comprises the following steps: carrying out numerical generalization on buildings in an evaluation range of a to-be-evaluated transformer substation in topographic file data; selecting a corresponding flood water depth standard based on the voltage grade of the to-be-evaluated transformer substation; calculating a corresponding rainfall sequence based on the flood water depth standard; establishing a digital watershed based on the topographic file data, and performing hydrological simulation based on the digital watershed and the rainfall sequence to obtain hydrological parameters; and based on the hydrological parameters, evaluating the flood prevention capability of the to-be-evaluated transformer substation. According to the method, scientific basis is provided for flood prevention planning and emergency response of the transformer substation through refined processing of the terrain of the transformer substation and flood inundation prediction.

Description

Technical Field

[0001] The present invention relates to the technical field of power system safety management, and more specifically, to a method and system for evaluating the flood prevention capability of a substation. Background Art

[0002] With the intensification of global climate change and urbanization, extreme weather events occur frequently. As a key node for power transmission, substations face increasingly prominent flood control safety issues. Traditional flood control assessment methods often rely on empirical judgments, lack accurate numerical simulation support, and are difficult to adapt to complex and changing meteorological conditions and terrain environments.

[0003] Therefore, developing a scientific, systematic and efficient method for evaluating the flood control capacity of substations is of great significance for ensuring the stable operation of the power system and reducing losses caused by natural disasters. Summary of the invention

[0004] The technical solution of the present invention provides a method and system for evaluating the flood control capability of a substation, so as to solve the problem of how to evaluate the flood control capability of a substation by finely processing the substation terrain.

[0005] In order to solve the above problems, the present invention provides a method for evaluating the flood prevention capability of a substation, the method comprising:

[0006] Numerical generalization of buildings within the assessment scope of the substation to be assessed in the terrain file data;

[0007] Based on the voltage level of the substation to be evaluated, a corresponding flood depth standard is selected; based on the flood depth standard, a corresponding rainfall sequence is calculated;

[0008] Establish a digital watershed based on the terrain file data, perform hydrological simulation based on the digital watershed and the rainfall sequence, and obtain hydrological parameters;

[0009] Based on the hydrological parameters, the flood control capability of the substation to be evaluated is evaluated.

[0010] Preferably, the numerical generalization of buildings within the assessment scope of the substation to be assessed in the terrain file data includes:

[0011] The buildings within the assessment scope of the substation to be assessed are numerically generalized by the elevated terrain method.

[0012] Preferably, the selecting a corresponding flood depth standard based on the voltage level of the substation to be evaluated includes:

[0013] When the voltage level of the substation to be evaluated is less than 220 kV and greater than or equal to 35 kV, the flood depth standard is the flood depth once in 50 years;

[0014] When the voltage level of the substation to be evaluated is less than 500 kV and greater than or equal to 220 kV, the flood depth standard uses the flood depth of 100 years;

[0015] When the voltage level of the substation to be evaluated is greater than 500 kV, the flood depth standard uses the flood depth that occurs once in 100 years.

[0016] Preferably, the calculating of the corresponding rainfall sequence based on the flood depth standard includes:

[0017] Establishing the relationship between the rainfall sequence and the flood depth through an initial artificial intelligence model;

[0018] Training the initial artificial intelligence model: inferring the corresponding rainfall sequence from the known flood depth based on the reverse operation of the initial artificial intelligence model;

[0019] Optimize the parameters of the trained model to obtain the final artificial intelligence model;

[0020] The corresponding rainfall sequence is calculated based on the flood depth standard through the final artificial intelligence model.

[0021] Preferably, the establishing of a digital watershed based on the terrain file data, performing hydrological simulation based on the digital watershed and the rainfall sequence, and obtaining hydrological parameters include:

[0022] Based on the terrain file data, a river network is generated, and the outlet of the river network basin is determined to generate a digital basin;

[0023] The digital watershed is grid-divided, and a hydrological simulation is performed through a hydrological model based on the digital watershed after the division and the rainfall sequence to obtain the water depth of the substation to be evaluated.

[0024] Preferably, the evaluating the flood control capability of the substation to be evaluated based on the hydrological parameters includes:

[0025] The hydrological parameter is the water depth. When the water depth is less than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is excellent; or

[0026] When the accumulated water depth is greater than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is unqualified.

[0027] According to another aspect of the present invention, the present invention provides a system for evaluating the flood prevention capability of a substation, the system comprising:

[0028] Initial units, used to numerically generalize buildings within the assessment scope of the substation to be assessed in the terrain file data;

[0029] A calculation unit, configured to select a corresponding flood depth standard based on the voltage level of the substation to be evaluated; and calculate a corresponding rainfall sequence based on the flood depth standard;

[0030] A simulation unit, used for establishing a digital watershed based on the terrain file data, performing hydrological simulation based on the digital watershed and the rainfall sequence, and obtaining hydrological parameters;

[0031] An evaluation unit is used to evaluate the flood control capability of the substation to be evaluated based on the hydrological parameters.

[0032] Preferably, the initial unit is used to numerically generalize the buildings within the assessment range of the substation to be assessed in the terrain file data, and is also used to:

[0033] The buildings within the assessment scope of the substation to be assessed are numerically generalized by the elevated terrain method.

[0034] Preferably, the calculation unit is used to select a corresponding flood depth standard based on the voltage level of the substation to be evaluated, including:

[0035] When the voltage level of the substation to be evaluated is less than 220 kV and greater than or equal to 35 kV, the flood depth standard is the flood depth once in 50 years;

[0036] When the voltage level of the substation to be evaluated is less than 500 kV and greater than or equal to 220 kV, the flood depth standard uses the flood depth of 100 years;

[0037] When the voltage level of the substation to be evaluated is greater than 500 kV, the flood depth standard uses the flood depth that occurs once in 100 years.

[0038] Preferably, the calculation unit is used to calculate the corresponding rainfall sequence based on the flood depth standard, and is also used to:

[0039] Establishing the relationship between the rainfall sequence and the flood depth through an initial artificial intelligence model;

[0040] Training the initial artificial intelligence model: inferring the corresponding rainfall sequence from the known flood depth based on the reverse operation of the initial artificial intelligence model;

[0041] Optimize the parameters of the trained model to obtain the final artificial intelligence model;

[0042] The corresponding rainfall sequence is calculated based on the flood depth standard through the final artificial intelligence model.

[0043] Preferably, the simulation unit is used to establish a digital watershed based on the terrain file data, perform hydrological simulation based on the digital watershed and the rainfall sequence, obtain hydrological parameters, and is also used to:

[0044] Based on the terrain file data, a river network is generated, and the outlet of the river network basin is determined to generate a digital basin;

[0045] The digital watershed is grid-divided, and a hydrological simulation is performed through a hydrological model based on the digital watershed after the division and the rainfall sequence to obtain the water depth of the substation to be evaluated.

[0046] Preferably, the evaluation unit is used to evaluate the flood control capability of the substation to be evaluated based on the hydrological parameters, and is also used to:

[0047] The hydrological parameter is the water depth. When the water depth is less than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is excellent; or

[0048] When the accumulated water depth is greater than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is unqualified.

[0049] Based on another aspect of the present invention, the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and the computer program is used to execute a method for evaluating the flood control capability of a substation.

[0050] Based on another aspect of the present invention, the present invention provides an electronic device, characterized in that the electronic device comprises: a processor and a memory; wherein,

[0051] The memory is a memory for storing instructions executable by the processor;

[0052] The processor is used to read the executable instructions from the memory and execute the instructions to implement a method for evaluating the flood prevention capability of a substation.

[0053] The technical solution of the present invention provides a method and system for evaluating the flood control capability of a substation, wherein the method includes: numerically generalizing the buildings within the evaluation range of the substation to be evaluated in the terrain file data; selecting the corresponding flood depth standard based on the voltage level of the substation to be evaluated; calculating the corresponding rainfall sequence based on the flood depth standard; establishing a digital watershed based on the terrain file data, performing hydrological simulation based on the digital watershed and the rainfall sequence to obtain hydrological parameters; and evaluating the flood control capability of the substation to be evaluated based on the hydrological parameters. The technical solution of the present invention provides a scientific basis for flood control planning and emergency response of the substation through the refined processing of the substation terrain and flood inundation prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0055] Figure 1 A flow chart of a method for evaluating the flood prevention capability of a substation according to a preferred embodiment of the present invention;

[0056] Figure 2 A schematic diagram of numerical demand for buildings and structures according to a preferred embodiment of the present invention;

[0057] Figure 3 The figure is a structural diagram of a system for evaluating the flood prevention capability of a substation according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0058] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0059] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0060] Figure 1 The present invention is a flowchart of a method for evaluating the flood prevention capability of a substation according to a preferred embodiment of the present invention.

[0061] The present invention provides a scientific basis for flood control planning and emergency response of substations through refined processing of substation terrain and flood inundation prediction. The present invention provides a method for evaluating substation flood control capabilities, aiming to formulate scientific and accurate flood control strategies for substations of different voltage levels through refined risk assessment and flood inundation prediction. Using advanced hydrological models and artificial intelligence technology, the present invention can predict the risk of inundation under flood conditions and evaluate the flood control capabilities of substations accordingly. The purpose of the present invention is to improve the emergency response capabilities of substations and ensure the stable operation of power systems in extreme weather events, while providing data-driven scientific decision-making support for power industry managers and decision makers, promoting technological progress, and contributing to the sustainable development and disaster prevention and mitigation of the power industry.

[0062] like Figure 1 As shown, the present invention provides a method for evaluating the flood prevention capability of a substation, the method comprising:

[0063] Step 101: numerically generalize the buildings within the assessment scope of the substation to be assessed in the terrain file data;

[0064] Preferably, numerically generalizing the buildings within the assessment range of the substation to be assessed in the terrain file data includes:

[0065] The present invention numerically generalizes buildings within the assessment range of the substation to be assessed by using the elevated terrain method.

[0066] Numerical generalization of terrain: The elevation terrain method is used to numerically generalize the buildings around the substation to improve the calculation accuracy of the model for urban stormwater simulation. To build the model, the terrain of the simulation area must be processed first, and the substation terrain must be refined. The substation wall is set to 2.2 meters, which is in line with the national standard (35kV~110kV substation design specification). A refined description of the substation terrain is very necessary. At present, as an important input data in stormwater simulation calculations, the terrain file is mainly a digital elevation model (Digital Elevation Model, DEM), which is a digital expression of the surface elevation of the regional terrain. Among them, regular grids are easier to calculate and easier to process by computer than other forms of expression. It is mainly manifested in dividing the area into a collection of regular grid cells in space. Any grid cell has its corresponding elevation value, which is stored in matrix form. Therefore, the DEM involved in this article all adopts regular grids:

[0067] DEM = {Z ij} (i=1,2,...,m; j=1,2,...,n) (1)

[0068] Among them, i, j are the number of rows and columns of the matrix, and Z is the elevation value.

[0069] DEM expresses the surface characteristics and does not include the elevation values ​​of artificial structures with sudden elevation changes, such as houses and buildings. In urban flood disasters, artificial structures with physical characteristics, such as houses and buildings, will hinder and intercept water flow in actual situations. It is necessary to numerically generalize the houses and buildings in the original DEM to improve the calculation accuracy of urban rain and flood simulation.

[0070] The elevation terrain method allows the rooftop runoff and surface runoff of buildings to flow to the surrounding area according to the terrain elevation, eliminating the tedious steps of processing rooftop runoff separately. In addition, the DEM processed by the elevation terrain method is close to the mutation characteristics of the real terrain. Therefore, this paper adopts the elevation terrain method to add a vertical height of a building to the original high-precision DEM elevation data, showing the mutation characteristics of the building, which has an obstruction and interception effect on the water flow, such as Figure 2 shown.

[0071] Step 102: Select a corresponding flood depth standard based on the voltage level of the substation to be evaluated; and calculate a corresponding rainfall sequence based on the flood depth standard;

[0072] Preferably, based on the voltage level of the substation to be evaluated, a corresponding flood depth standard is selected, including:

[0073] When the voltage level of the substation to be assessed is less than 220 and greater than or equal to 35, the flood depth standard uses the flood depth of 50 years;

[0074] When the voltage level of the substation to be assessed is less than 500 and greater than or equal to 220, the flood depth standard uses the 100-year flood depth;

[0075] When the voltage level of the substation to be evaluated is greater than 500, the flood depth standard shall be the depth of a flood that occurs once in 100 years.

[0076] Preferably, based on the flood depth standard, the corresponding rainfall sequence is calculated, including:

[0077] Through the initial artificial intelligence model, the relationship between rainfall sequence and flood depth is established;

[0078] Training the initial AI model: Based on the reverse operation of the initial AI model, the corresponding rainfall sequence is inferred from the known flood depth;

[0079] Optimize the parameters of the trained model to obtain the final artificial intelligence model;

[0080] The corresponding rainfall sequence is calculated based on the flood depth standard through the final artificial intelligence model.

[0081] The present invention selects and processes rainfall data: according to the voltage level of the substation, the corresponding flood depth standard is selected, and the rainfall sequence is back-calculated using an artificial intelligence method.

[0082] For substation voltage level <220, ≥35, the artificial intelligence method is used to back-calculate the rainfall sequence using the flood depth once in 50 years; for substation voltage level <500, ≥220, the artificial intelligence method is used to back-calculate the rainfall sequence using the flood depth once in 100 years; for substation voltage level ≥500, the artificial intelligence method is used to back-calculate the rainfall sequence using the flood depth once in 100 years.

[0083] The present invention uses artificial intelligence methods to back-calculate rainfall sequences. First, historical rainfall and flood data are collected and pre-processed, and then key hydrological and meteorological features are identified. Next, a suitable artificial intelligence model, such as a neural network, is selected to establish a prediction model between rainfall and flood depth. Through training, the model learns to predict possible flood depths based on rainfall characteristics. On this basis, we design a reverse operation process to infer the corresponding rainfall sequence from the known flood depth. After the model training is completed, we conduct sensitivity analysis, optimize model parameters, and use validation and test sets to evaluate the accuracy and generalization ability of the model. Finally, we deploy the trained model into practical applications to generate rainfall sequences and provide a scientific basis for flood risk assessment. This process not only improves the accuracy of the prediction, but also enhances the robustness and practicality of the model.

[0084] Step 103: Establish a digital watershed based on the terrain file data, perform hydrological simulation based on the digital watershed and rainfall sequence, and obtain hydrological parameters;

[0085] Preferably, a digital watershed is established based on the terrain file data, and a hydrological simulation is performed based on the digital watershed and the rainfall sequence to obtain hydrological parameters, including:

[0086] Generate river network based on terrain file data, determine the outlet of river network basin, and generate digital basin;

[0087] The digital watershed is gridded, and hydrological simulation is performed through a hydrological model based on the digital watershed after division and the rainfall sequence to obtain the water depth of the substation to be evaluated.

[0088] The hydrological model of the present invention is established and simulated as follows: using advanced hydrological model software such as WMS, combined with high-precision DEM data and boundary condition data, to generate a river network, and manually determine the watershed outlet, and then construct a digital watershed. The watershed is gridded, the hydrological data is input into the model, and the GSSHA model is used for hydrological simulation. This step simulates the hydrological processes such as rainfall, runoff, and evaporation in the area to obtain key hydrological parameters such as water depth, providing a scientific basis for flood prediction. Simulate and predict the water depth of the substation.

[0089] Step 104: Based on the hydrological parameters, the flood control capability of the substation to be evaluated is evaluated.

[0090] Preferably, the flood control capability of the substation to be evaluated is evaluated based on hydrological parameters, including:

[0091] The hydrological parameter is the water depth. When the water depth is less than the preset water depth assessment threshold, the flood control capability of the substation to be assessed is excellent; or

[0092] When the accumulated water depth is greater than the preset water depth assessment threshold, the flood control capability of the substation to be assessed is unqualified.

[0093] The present invention performs flood prevention capacity assessment: based on the simulation results, the flood prevention capacity of the substation is assessed and corresponding flood prevention strategies are given.

[0094] If the prediction results show that the substation is not flooded, the flood prevention capacity assessment result of the substation is excellent.

[0095] If the prediction results show that the substation is flooded and the flood depth is higher than 2.2 meters, the flood prevention capacity assessment result of the substation will fail, and the flood prevention strategy adopted will be to increase the height of the wall.

[0096] If the flooded water depth is less than 2.2 meters, the flood control capacity assessment result of the substation is qualified. First, determine whether the courtyard wall gate structure has flood control capacity. If it has flood control capacity, the flood control strategy adopted is to add flood control measures such as water pumps. If the gate does not have flood control capacity, it is necessary to determine whether the direction of the gate is consistent with the inflow direction of the water. If they are consistent, the flooded water depth is 0.8 to 2 meters, and flood control measures such as flood baffles are taken for the fence gate, and flood control measures such as water pumps are added; if the flooded water depth is less than 0.18 meters, flood control baffles are taken for the fence gate. If they are inconsistent, flood control measures such as water pumps are added.

[0097] The substation flood control capacity assessment method of the present invention realizes the accurate prediction and assessment of the potential flood risk of the substation by applying high-precision terrain data processing and advanced hydrological simulation technology. The present invention not only improves the scientific nature of risk management and the efficiency of flood control resource allocation, but also enhances the emergency response capability of the substation in the face of extreme weather events, ensuring the continuity and safety of power supply. At the same time, it promotes innovation in related technical fields, supports policy formulation and compliance with regulations, and enhances the public's trust in the flood control work of power companies. The wide application of the present invention demonstrates its adaptability under different environmental conditions, and provides strong technical support and decision-making basis for the disaster prevention and mitigation work of the power system.

[0098] The following examples illustrate the embodiments of the present invention:

[0099] Assuming that there is a substation with a voltage level of 220kV in a certain area, firstly, the substation is subjected to terrain refinement processing and hydrological model establishment according to the method of the present invention. Then, according to the voltage level of the substation, the flood depth standard of once in 100 years is selected, and the corresponding rainfall sequence is calculated back using the artificial intelligence method. The GSSHA model is used for hydrological simulation to predict the water depth of the substation under the rainfall conditions. The simulation results show that the water depth in some areas of the substation reaches 1.8 meters, which is 2.2 meters lower than the height of the wall, but there are local low-lying areas with a water depth close to the height of the wall.

[0100] According to the assessment results, although the overall flood prevention capacity of the substation is good, reinforcement measures are still needed for local low-lying areas. It is recommended to raise the wall in this area and add drainage facilities such as water pumps to improve flood prevention capabilities. At the same time, it is recommended to transform the gate structure of the substation to enhance its flood prevention performance and ensure the safe operation of the substation under extreme weather conditions.

[0101] Through the application case analysis of the present invention, it can be clearly seen that the substation flood control capacity assessment method can provide a scientific basis for the substation's flood control planning and emergency response, and effectively improve the substation's flood control and disaster reduction capabilities.

[0102] Figure 3 The figure is a structural diagram of a system for evaluating the flood prevention capability of a substation according to a preferred embodiment of the present invention.

[0103] like Figure 3 As shown, the present invention provides a system for evaluating the flood prevention capability of a substation, the system comprising:

[0104] An initial unit 301 is used to numerically generalize buildings within the assessment scope of the substation to be assessed in the terrain file data;

[0105] Preferably, the initialization unit 301 is used to numerically generalize the buildings within the assessment range of the substation to be assessed in the terrain file data, and is also used to:

[0106] The buildings within the assessment scope of the substation to be assessed are numerically generalized by the elevated terrain method.

[0107] The calculation unit 302 is used to select a corresponding flood depth standard based on the voltage level of the substation to be evaluated; and calculate a corresponding rainfall sequence based on the flood depth standard;

[0108] Preferably, the calculation unit 302 is used to select a corresponding flood depth standard based on the voltage level of the substation to be evaluated, including:

[0109] When the voltage level of the substation to be assessed is less than 220kV and greater than or equal to 35kV, the flood depth standard is the flood depth once in 50 years;

[0110] When the voltage level of the substation to be assessed is less than 500kV and greater than or equal to 220kV, the flood depth standard shall be the flood depth of 100 years;

[0111] When the voltage level of the substation to be evaluated is greater than 500kV, the flood depth standard shall be the flood depth that occurs once in 100 years.

[0112] Preferably, the calculation unit 302 is used to calculate the corresponding rainfall sequence based on the flood depth standard, and is also used to:

[0113] Through the initial artificial intelligence model, the relationship between rainfall sequence and flood depth is established;

[0114] Training the initial AI model: Based on the reverse operation of the initial AI model, the corresponding rainfall sequence is inferred from the known flood depth;

[0115] Optimize the parameters of the trained model to obtain the final artificial intelligence model;

[0116] The corresponding rainfall sequence is calculated based on the flood depth standard through the final artificial intelligence model.

[0117] The simulation unit 303 is used to establish a digital watershed based on the terrain file data, perform hydrological simulation based on the digital watershed and the rainfall sequence, and obtain hydrological parameters;

[0118] Preferably, the simulation unit 303 is used to establish a digital watershed based on the terrain file data, perform hydrological simulation based on the digital watershed and the rainfall sequence, obtain hydrological parameters, and is also used to:

[0119] Generate river network based on terrain file data, determine the outlet of river network basin, and generate digital basin;

[0120] The digital watershed is gridded, and hydrological simulation is performed through a hydrological model based on the digital watershed after division and the rainfall sequence to obtain the water depth of the substation to be evaluated.

[0121] The evaluation unit 304 is used to evaluate the flood control capability of the substation to be evaluated based on the hydrological parameters.

[0122] Preferably, the evaluation unit 304 is used to evaluate the flood control capability of the substation to be evaluated based on the hydrological parameters, and is also used to:

[0123] The hydrological parameter is the water depth. When the water depth is less than the preset water depth assessment threshold, the flood control capability of the substation to be assessed is excellent; or

[0124] When the accumulated water depth is greater than the preset water depth assessment threshold, the flood control capability of the substation to be assessed is unqualified.

[0125] A system for evaluating the flood prevention capability of a substation in a preferred embodiment of the invention corresponds to a method for evaluating the flood prevention capability of a substation in another preferred embodiment of the invention, which will not be described in detail here.

[0126] The present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is used to execute a method for evaluating the flood prevention capability of a substation.

[0127] The present invention provides an electronic device, characterized in that the electronic device comprises: a processor and a memory; wherein:

[0128] Memory, a memory for storing processor executable instructions;

[0129] The processor is used for reading executable instructions from the memory and executing the instructions to implement a method for evaluating the flood prevention capability of a substation.

[0130] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may 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 codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0131] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0132] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0134] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0135] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0136] The invention has been described above with reference to a few embodiments. However, it is readily apparent to a person skilled in the art that other embodiments than the ones disclosed above are equally within the scope of the invention, as defined by the appended patent claims.

[0137] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a / said / the [means, components, etc.]" are to be openly interpreted as at least one instance of the means, components, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not necessarily have to be performed in the exact order disclosed, unless explicitly stated otherwise.

Claims

1. A method for evaluating the flood control capability of a substation, the method include: Numerical generalization of buildings within the assessment scope of the substation to be assessed in the terrain file data; Based on the voltage level of the substation to be evaluated, selecting a corresponding flood depth standard; Based on the flood depth standard, calculating a corresponding rainfall sequence; Establish a digital watershed based on the terrain file data, perform hydrological simulation based on the digital watershed and the rainfall sequence, and obtain hydrological parameters; Based on the hydrological parameters, the flood control capability of the substation to be evaluated is evaluated.

2. The method according to claim 1, wherein the buildings within the assessment range of the substation to be assessed are numerically generalized in the terrain file data, include: The buildings within the assessment scope of the substation to be assessed are numerically generalized by the elevated terrain method.

3. The method according to claim 1, wherein the corresponding flood depth standard is selected based on the voltage level of the substation to be evaluated. include: When the voltage level of the substation to be evaluated is less than 220 kV and greater than or equal to 35 kV, the flood depth standard is the flood depth once in 50 years; When the voltage level of the substation to be evaluated is less than 500 kV and greater than or equal to 220 kV, the flood depth standard uses the flood depth of 100 years; When the voltage level of the substation to be evaluated is greater than 500 kV, the flood depth standard uses the flood depth that occurs once in 100 years.

4. The method according to claim 1, wherein the corresponding rainfall sequence is calculated based on the flood depth standard. include: Establishing the relationship between the rainfall sequence and the flood depth through an initial artificial intelligence model; Training the initial artificial intelligence model: inferring the corresponding rainfall sequence from the known flood depth based on the reverse operation of the initial artificial intelligence model; Optimize the parameters of the trained model to obtain the final artificial intelligence model; The corresponding rainfall sequence is calculated based on the flood depth standard through the final artificial intelligence model.

5. The method according to claim 1, wherein a digital watershed is established based on the terrain file data, a hydrological simulation is performed based on the digital watershed and the rainfall sequence, and hydrological parameters are obtained. include: Based on the terrain file data, a river network is generated, and the outlet of the river network basin is determined to generate a digital basin; The digital watershed is grid-divided, and a hydrological simulation is performed through a hydrological model based on the digital watershed after the division and the rainfall sequence to obtain the water depth of the substation to be evaluated.

6. The method according to claim 1, wherein the flood control capability of the substation to be evaluated is evaluated based on the hydrological parameters. include: The hydrological parameter is the water depth. When the water depth is less than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is excellent. or When the accumulated water depth is greater than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is unqualified.

7. A system for evaluating the flood prevention capability of a substation, the system include: Initial units, used to numerically generalize buildings within the assessment scope of the substation to be assessed in the terrain file data; A calculation unit, configured to select a corresponding flood depth standard based on the voltage level of the substation to be evaluated; Based on the flood depth standard, calculating a corresponding rainfall sequence; A simulation unit, used for establishing a digital watershed based on the terrain file data, performing hydrological simulation based on the digital watershed and the rainfall sequence, and obtaining hydrological parameters; An evaluation unit is used to evaluate the flood control capability of the substation to be evaluated based on the hydrological parameters.

8. The system according to claim 7, wherein the initial unit is used to numerically generalize the buildings within the assessment range of the substation to be assessed in the terrain file data, and is also used to: The buildings within the assessment scope of the substation to be assessed are numerically generalized by the elevated terrain method.

9. The method according to claim 7, wherein the calculation unit is used to select a corresponding flood depth standard based on the voltage level of the substation to be evaluated. include: When the voltage level of the substation to be evaluated is less than 220 kV and greater than or equal to 35 kV, the flood depth standard is the flood depth once in 50 years; When the voltage level of the substation to be evaluated is less than 500 kV and greater than or equal to 220 kV, the flood depth standard uses the flood depth of 100 years; When the voltage level of the substation to be evaluated is greater than 500 kV, the flood depth standard uses the flood depth that occurs once in 100 years.

10. The system according to claim 7, wherein the calculation unit is used to calculate the corresponding rainfall sequence based on the flood depth standard, and is also used to: Establishing the relationship between the rainfall sequence and the flood depth through an initial artificial intelligence model; Training the initial artificial intelligence model: inferring the corresponding rainfall sequence from the known flood depth based on the reverse operation of the initial artificial intelligence model; Optimize the parameters of the trained model to obtain the final artificial intelligence model; The corresponding rainfall sequence is calculated based on the flood depth standard through the final artificial intelligence model.

11. The system according to claim 7, wherein the simulation unit is used to establish a digital watershed based on the terrain file data, perform hydrological simulation based on the digital watershed and the rainfall sequence, and obtain hydrological parameters, and is also used to: Based on the terrain file data, a river network is generated, and the outlet of the river network basin is determined to generate a digital basin; The digital watershed is grid-divided, and a hydrological simulation is performed through a hydrological model based on the digital watershed after the division and the rainfall sequence to obtain the water depth of the substation to be evaluated.

12. The system according to claim 7, wherein the evaluation unit is used to evaluate the flood control capability of the substation to be evaluated based on the hydrological parameters, and is also used to: The hydrological parameter is the water depth. When the water depth is less than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is excellent; or When the accumulated water depth is greater than a preset water depth assessment threshold, the flood control capability of the substation to be assessed is unqualified.

13. Computer readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 6.

14. An electronic device, It is characterized in that The electronic device comprises: a processor and a memory; wherein, The memory is a memory for storing instructions executable by the processor; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any one of claims 1 to 6.

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