Method for determining inland inundation treatment strategy of transformer substation based on different geographic positions

Abstract

The invention discloses a transformer substation waterlogging treatment strategy determination method based on different geographic positions. The method comprises the steps that the terrain height, the ponding volume and the water level corresponding to a pixel point set in a preset area are collected; determining a waterlogging risk index based on the terrain height and the ponding volume; determining an expected drainage path based on the terrain height and the waterlogging risk index; determining the current working state of the drainage equipment based on the waterlogging risk index and the water level; and determining a waterlogging treatment strategy of the transformer substation based on the waterlogging risk index, the expected drainage path and the current working state. The technical problems of low execution efficiency and poor drainage effect of a transformer substation waterlogging treatment strategy in related technologies are solved.

Description

Technical Field

[0001] The present invention relates to the field of substation waterlogging control strategy determination, and in particular to a method for determining a substation waterlogging control strategy based on different geographical locations. Background Art

[0002] Under extreme weather conditions such as heavy rain, typhoons, and floods, substations are extremely vulnerable to waterlogging, resulting in power outages, equipment damage, and serious economic losses and social impacts. In the prior art, the following methods are mainly used to deal with the problem of waterlogging in substations: first, a static drainage network is designed based on historical meteorological data and terrain conditions so that the accumulated water can be directed to low-lying areas or water bodies through fixed drainage routes when waterlogging occurs; second, water level sensors and precipitation monitoring equipment are deployed using the Internet of Things technology to conduct hydrological monitoring and early warning. However, both methods have significant defects in practical applications. First, the static drainage network lacks dynamic response capabilities and cannot adjust the drainage strategy according to real-time rainfall and water flow changes, resulting in low drainage efficiency in extreme weather. Second, although the Internet of Things monitoring technology can provide real-time hydrological data, it often lacks intelligent linkage with the drainage network and cannot adaptively adjust the response measures in real time, which greatly limits the flood prevention effect. In addition, the above two methods rely on limited local data and ignore factors such as precipitation patterns and terrain undulations in a large area, which makes it difficult for substations located in complex terrain areas to cope with sudden waterlogging problems.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiment of the present invention provides a method for determining a substation waterlogging control strategy based on different geographical locations, so as to at least solve the technical problems of low execution efficiency and poor drainage effect of substation waterlogging control strategy in related technologies.

[0005] According to one embodiment of the present invention, a method for determining a substation waterlogging control strategy based on different geographical locations is provided, including: collecting terrain height, water accumulation volume and water level corresponding to a set of pixel points in a preset area; determining a waterlogging risk index based on the terrain height and water accumulation volume; determining an expected drainage path based on the terrain height and the waterlogging risk index; determining a current working state of a drainage device based on the waterlogging risk index and water level; and determining a waterlogging control strategy for the substation based on the waterlogging risk index, the expected drainage path and the current working state.

[0006] Optionally, determining the waterlogging risk index based on terrain height and water accumulation volume includes: obtaining an environmental resistance factor; determining water flow gradient information based on the environmental resistance factor and terrain height; and determining the waterlogging risk index based on the water flow gradient information, terrain height and water accumulation volume.

[0007] Optionally, determining the expected drainage path based on the terrain height and the waterlogging risk index includes: obtaining the distance and surface resistance coefficient of the candidate drainage path; constructing a cost function of the drainage path using the terrain height, the waterlogging risk index, the distance and surface resistance coefficient of the candidate drainage path; and solving the cost function using a gradient descent method to obtain the expected drainage path.

[0008] Optionally, determining the current working state of the drainage device based on the waterlogging risk index and the water level includes: obtaining a water level threshold, a current discharge volume of the drainage device, and a scheduling factor; in response to the water level being less than or equal to the water level threshold, determining that the current working state is a closed state; in response to the water level being higher than the water level threshold, determining the working power of the drainage device based on the current discharge volume of the drainage device and the scheduling factor.

[0009] Optionally, determining the waterlogging control strategy based on the waterlogging risk index, the expected drainage path and the current working status includes: obtaining the waterlogging risk threshold, the water level change rate and the current drainage path; adjusting the current working status based on the waterlogging risk threshold and the waterlogging risk index to obtain a target working status; adjusting the current drainage path based on the water level change rate and the expected drainage path to obtain a target drainage path; determining the waterlogging control strategy based on the target working status and the target drainage path.

[0010] Optionally, adjusting the current drainage path based on the water level change rate and the expected drainage path to obtain the target drainage path includes: performing a deviation operation on the expected drainage path and the current drainage path to obtain a first calculation result; weighted matching the water level change rate and the first calculation result to obtain a path adjustment amount; adjusting the current drainage path based on the path adjustment amount to obtain the target drainage path.

[0011] Optionally, the current working state is adjusted based on the waterlogging risk threshold and the waterlogging risk index to obtain the target working state, including: obtaining a risk adjustment coefficient; performing a difference operation on the waterlogging risk index and the waterlogging risk threshold to obtain a second calculation result; performing a product operation on the risk adjustment coefficient and the second calculation result to obtain a third calculation result; and determining the target working state based on the third calculation result and the current working state.

[0012] According to one embodiment of the present invention, there is also provided a device for determining a substation waterlogging control strategy based on different geographical locations, including: an acquisition module for collecting terrain height, water accumulation volume and water level corresponding to a set of pixel points in a preset area; a first determination module for determining a waterlogging risk index based on the terrain height and water accumulation volume; a second determination module for determining an expected drainage path based on the terrain height and the waterlogging risk index; a third determination module for determining a current working state of a drainage device based on the waterlogging risk index and the water level; and a fourth determination module for determining the substation's waterlogging control strategy based on the waterlogging risk index, the expected drainage path and the current working state.

[0013] Optionally, the acquisition module is also used to acquire an environmental resistance factor; the first determination module is also used to: determine water flow gradient information based on the environmental resistance factor and terrain height; determine the waterlogging risk index based on the water flow gradient information, terrain height and accumulated water volume.

[0014] Optionally, the acquisition module is also used to obtain the distance and surface resistance coefficient of the candidate drainage path; the second determination module is also used to: construct a cost function of the drainage path using the terrain height, waterlogging risk index, the distance and surface resistance coefficient of the candidate drainage path; and solve the cost function using the gradient descent method to obtain the expected drainage path.

[0015] Optionally, the acquisition module is also used to obtain the water level threshold, the current drainage volume of the drainage device and the scheduling factor; the third determination module is also used to: in response to the water level being less than or equal to the water level threshold, determine that the current working state is a closed state; in response to the water level being higher than the water level threshold, determine the working power of the drainage device based on the current drainage volume and the scheduling factor of the drainage device.

[0016] Optionally, the acquisition module is also used to obtain the waterlogging risk threshold, the water level change rate and the current drainage path; the fourth determination module is also used to: adjust the current working state based on the waterlogging risk threshold and the waterlogging risk index to obtain the target working state; adjust the current drainage path based on the water level change rate and the expected drainage path to obtain the target drainage path; determine the waterlogging control strategy based on the target working state and the target drainage path.

[0017] Optionally, the device for determining the waterlogging control strategy of substations based on different geographical locations includes a processing module, which is used to: perform a deviation operation on the expected drainage path and the current drainage path to obtain a first calculation result; perform a weighted ratio calculation on the water level change rate and the first calculation result to obtain a path adjustment amount; and a fourth determination module is also used to adjust the current drainage path based on the path adjustment amount to obtain a target drainage path.

[0018] Optionally, the acquisition module is also used to obtain the risk adjustment coefficient; the processing module is also used to: perform a difference operation on the waterlogging risk index and the waterlogging risk threshold to obtain a second calculation result; perform a product operation on the risk adjustment coefficient and the second calculation result to obtain a third calculation result; the fourth determination module is also used to determine the target working state based on the third calculation result and the current working state.

[0019] According to one embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the method for determining a strategy for substation waterlogging control based on different geographical locations is executed.

[0020] According to one embodiment of the present invention, a non-volatile storage medium is further provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining a substation waterlogging control strategy based on different geographical locations when running.

[0021] According to one embodiment of the present invention, there is also provided a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for determining a strategy for waterlogging control in a substation based on different geographical locations.

[0022] In an embodiment of the present invention, a method of collecting terrain height, water accumulation volume and water level corresponding to a set of pixel points in a preset area is adopted, and a waterlogging risk index is determined based on the terrain height and the waterlogging volume, an expected drainage path is determined based on the terrain height and the waterlogging risk index, and the current working state of the drainage equipment is determined based on the waterlogging risk index and the water level. Finally, the waterlogging control strategy of the substation is determined based on the waterlogging risk index, the expected drainage path and the current working state, thereby achieving the purpose of quickly determining the waterlogging control strategy of the substation and dynamically adjusting the waterlogging control strategy of the substation, thereby achieving the technical effect of improving the execution efficiency of the waterlogging control strategy of the substation and the drainage effect, and further solving the technical problems of low execution efficiency and poor drainage effect of the waterlogging control strategy of the substation in the related technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0024] Figure 1 It is a hardware structure block diagram of a method for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention;

[0025] Figure 2is a flow chart of a method for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention;

[0026] Figure 3 is a flow chart of another method for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention;

[0027] Figure 4 It is a structural block diagram of a device for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] The method for determining a substation waterlogging control strategy based on different geographical locations provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 FIG. 1 is a hardware structure diagram of a method for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention. Figure 1As shown, the computer terminal 10 (or electronic device 10) may include one or more (102a, 102b, ..., 102n are used to illustrate) processors (the processor may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0031] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10 (or electronic device). As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0032] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method for determining the strategy for waterlogging control in substations based on different geographical locations in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the method for determining the strategy for waterlogging control in substations based on different geographical locations is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0033] The transmission module 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission module 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission module 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0034] The display may be, for example, a touch screen type liquid crystal display (LCD), which may enable a user to interact with a user interface of the computer terminal 10 (or electronic device).

[0035] It should be noted that, in some optional embodiments, the above Figure 1 The computer device (or electronic device) shown may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of hardware elements and software elements. It should be noted that Figure 1 This is merely one example of a particular embodiment and is intended to illustrate the types of components that may be present in the above-described computer device (or electronic device).

[0036] According to an embodiment of the present invention, a method embodiment of a method for determining a substation waterlogging control strategy based on different geographical locations is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0037] Figure 2 is a flow chart of a method for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention. Figure 2 As shown, the method comprises the following steps:

[0038] Step S20, collecting the terrain height, water volume and water level corresponding to the pixel point set in the preset area;

[0039] In step S20, the preset area is used to characterize the substation and the area around the substation, for example, an area with a diameter of 50 km with the substation as the center.

[0040] The terrain height is used to represent the terrain height at the pixel point (x, y) in the preset area, which is recorded as Z(x, y).

[0041] The above-mentioned accumulated water volume is used to characterize the accumulated water volume at a prime point (x, y) in a preset area, which is denoted as V(x, y, t), where t represents a timestamp.

[0042] The above water level is used to characterize the water level height at a prime point (x, y) in a preset area, denoted as H(x, y, t).

[0043] Specifically, the terrain of the substation and its surroundings is modeled with high precision. Digital Elevation Model (DEM) data can be obtained from light detection and ranging technology (LiDAR) or high-resolution satellites. Each pixel (x, y) in the DEM represents the surface height of the geographic location (x, y). In order to capture subtle changes in the terrain, especially the height differences that affect water flow, a high-resolution DEM is used for terrain analysis. DEM data needs to be processed in the following key steps: Data cleaning: Remove noise and outliers (such as interference from buildings and trees). Refinement processing: Perform local fine modeling for the specific location of the substation, especially in low-lying areas and areas with large slopes to improve resolution.

[0044] Step S22, determining a waterlogging risk index based on terrain height and waterlogging volume;

[0045] In step S22, the waterlogging risk index represents the waterlogging and flooding risk at the location (x, y) at time t, denoted as F r (x,y,t).

[0046] Step S24, determining an expected drainage path based on the terrain height and the waterlogging risk index;

[0047] In step S24, the expected drainage path is used to characterize a better drainage path predicted based on the terrain height and the waterlogging risk index.

[0048] Step S26, determining the current working state of the drainage equipment based on the waterlogging risk index and the water level;

[0049] Specifically, first, the current working state of the drainage equipment is determined according to the waterlogging risk index and the water level, so that the current working state of the drainage equipment can drain the accumulated water in the waterlogged area normally; when the accumulated water in the waterlogged area changes, the current working state of the drainage equipment is adjusted to ensure that the scheduling of the drainage equipment can respond to changes in the accumulated water volume and waterlogging risk in real time.

[0050] Step S28, determining the substation's waterlogging control strategy based on the waterlogging risk index, the expected drainage path, and the current working status.

[0051] Specifically, according to the waterlogging risk index F r(x,y,t) adjusts the current working state of the drainage equipment to ensure that the accumulated water is discharged quickly. If it is detected that the water level in some areas rises too fast or the water flow direction deviates from the expected drainage path, the current drainage path is adjusted based on the expected drainage path to obtain the target drainage path. Drainage is carried out according to the drainage path and the working status of the drainage equipment determined in the waterlogging control strategy, so that the accumulated water near the substation can be discharged in time.

[0052] Based on the above steps S20 to S28, a method of collecting terrain height, water accumulation volume and water level corresponding to a set of pixel points in a preset area is adopted, and the waterlogging risk index is determined based on the terrain height and the waterlogging volume, the expected drainage path is determined based on the terrain height and the waterlogging risk index, and the current working state of the drainage equipment is determined based on the waterlogging risk index and the water level. Finally, the waterlogging control strategy of the substation is determined based on the waterlogging risk index, the expected drainage path and the current working state, thereby achieving the purpose of quickly determining the waterlogging control strategy of the substation and dynamically adjusting the waterlogging control strategy of the substation, thereby achieving the technical effect of improving the execution efficiency of the waterlogging control strategy of the substation and the drainage effect, and further solving the technical problems of low execution efficiency and poor drainage effect of the waterlogging control strategy of the substation in related technologies.

[0053] Optionally, in step S22, determining the waterlogging risk index based on the terrain height and the waterlogging volume includes:

[0054] Step S221, obtaining an environmental resistance factor;

[0055] Specifically, the traditional water flow path simulation only considers the slope, but the present invention uses the resistance factor R f (x,y) introduces environmental information such as soil permeability and vegetation coverage, which can accurately simulate water flow behavior in different environments according to the actual terrain characteristics.

[0056] Step S222, determining water flow gradient information based on the environmental resistance factor and the terrain height;

[0057] Specifically, considering that under complex terrain conditions, water flow is not only affected by the terrain slope, but also related to the surrounding environment (such as vegetation and surface type). Therefore, the environmental resistance factor R is used. f (x, y) and terrain height Z(x, y), determine the water flow gradient information to simulate the water flow path. The calculation process of the water flow gradient information is shown in expression (1).

[0058]

[0059] Where dZ(x,y) represents the flow path gradient at point (x,y); and are the terrain height change rates in the x and y directions respectively; R f (x, y) represents the environmental resistance factor, which takes a value between [0, 1] and represents the obstruction of the terrain or environment to the water flow. The greater the resistance, the greater the R f The closer (x,y) is to 1, the slower the water flow.

[0060] Step S223, determining the waterlogging risk index based on the water flow gradient information, terrain height and water accumulation volume.

[0061] Specifically, after determining the water flow gradient information, the water volume is updated. The present invention introduces a water diffusion term in the calculation of the water volume to deal with the overflow and diffusion effect of water during extreme precipitation. Assuming that the water volume at each pixel position (x, y) at time t is V(x, y, t), the water volume update process is shown in expression (2).

[0062] V(x,y,t+1)=V(x,y,t)+S w (x,y,t)-Q(x,y,t)+D(x,y,t) (2)

[0063] Where V(x,y,t) represents the volume of water at the position (x,y) at time t; S w (x, y, t) represents the water body reflectance index obtained by satellite remote sensing at time t, indicating the precipitation at that point; Q(x, y, t) represents the amount of water flowing out from point (x, y), which is affected by the water flow gradient; D(x, y, t) represents the water diffusion term, which indicates the diffusion of water to the surrounding areas due to extreme precipitation.

[0064] Specifically, multispectral satellite remote sensing technology is used to obtain dynamic change data of rainfall, waterlogging and river water levels over a large area. And from high-resolution satellites such as Sentinel-2 and Landsat8, surface reflectance values ​​of multiple bands are obtained, mainly involving visible light bands (used to identify surface features) and near-infrared bands (used to analyze water body reflection). I(x, y, t) is a two-dimensional image taken by the satellite at time t, where (x, y) represents the pixel point in the image, reflecting the projection of the geographic coordinates on the remote sensing image. B i(x, y, t) represents the reflection value of the i-th band at the position (x, y), and i is the band number. For example, B1(x, y, t) is the reflection value of the visible light band at the position (x, y), and B2(x, y, t) is the reflection value of the near infrared band at the position (x, y). Furthermore, in order to accurately process satellite data, the collected remote sensing images are preprocessed, including: radiation correction, converting the radiation value of the remote sensing image into the real surface reflection value to eliminate atmospheric interference; geometric correction, performing geographic correction on the image to ensure that the pixels (x, y) of the remote sensing image are aligned with the actual geographic coordinates. According to the spectral characteristics of different bands, a weighted combination is performed, and the band that best reflects the characteristics of the water body is automatically selected, and a water body index is generated, as shown in expression (3).

[0065] S w (x,y,t)=α1B1(x,y,t)+α2B2(x,y,t)+…+α n B n (x,y,t) (3)

[0066] Among them, S w (x, y, t) is the water index, which represents the water reflection at time t at (x, y); α n is the weighting coefficient of the nth band, which is adjusted by the adaptive band optimization algorithm to ensure that it can best reflect the local water characteristics; B n (x, y, t) represents the reflection value of the nth band at the position (x, y), i is the band number, B1(x, y, t) is the reflection value of the visible light band at the position (x, y), and B2(x, y, t) is the reflection value of the near-infrared band at the position (x, y).

[0067] Furthermore, after completing the calculation of water flow gradient information and water accumulation volume, it is necessary to evaluate the waterlogging risk at each location. The terrain height, water accumulation volume, flood propagation speed and environmental resistance factors are taken into account. The waterlogging risk index is determined based on the water flow gradient information, terrain height and water accumulation volume. The specific calculation of the waterlogging risk index is shown in expression (4).

[0068] F r (x,y,t)=γ1·V(x,y,t+1)+γ2·(1-Z(x,y))+γ3·dZ(x,y) (4)

[0069] Among them, F r(x, y, t) represents the waterlogging risk index, which indicates the waterlogging and flood risk at time t and location (x, y); V(x, y, t+1) represents the volume of waterlogging at time t+1; Z(x, y) represents the terrain height, where Z(x, y) is bounded by the maximum and minimum elevations and normalized to the range [0, 1]; dZ(x, y) represents the water flow gradient, which indicates the flow rate and direction of the water flow; γ1, γ2, and γ3 represent weighting coefficients, which respectively control the effects of waterlogging volume, terrain height, and water flow gradient on flood risk.

[0070] Furthermore, the flood risk index F of each pixel point can be r (x, y, t) to generate a waterlogging risk map. The map is a two-dimensional grid that represents the waterlogging and flood risk situation of different areas around the substation at a specific time t. The specific generation process includes the following steps: Color mapping: According to the risk index F r The size of (x, y, t) is used to color map the risk areas at different locations. The higher the value, the greater the flood risk (the darker the color). Time series analysis: By comparing the risk index at different time points t, a multi-time risk map can be dynamically generated to predict the future flood diffusion trend. This waterlogging risk map can be used to determine the waterlogging control strategy for substations.

[0071] Based on the above steps S221 to S223, the environmental resistance factor is obtained; the water flow gradient information is determined based on the environmental resistance factor and the terrain height; the waterlogging risk index is determined based on the water flow gradient information, the terrain height and the accumulated water volume. The water flow gradient term dZ(x,y) is introduced to directly link the water flow velocity with the waterlogging risk. This is suitable for scenarios where water accumulates and spreads rapidly around the substation, and can more accurately determine the waterlogging risk index.

[0072] Optionally, in step S24, determining the expected drainage path based on the terrain height and the waterlogging risk index includes:

[0073] Step S241, obtaining the distance and surface resistance coefficient of the candidate drainage path;

[0074] Step S242, constructing a cost function of the drainage path using terrain height, waterlogging risk index, distance of candidate drainage paths and surface resistance coefficient;

[0075] Specifically, in order to achieve dynamic drainage path optimization, a cost function based on a multi-dimensional drainage path is proposed. The cost function takes into account three main factors in the drainage path: waterlogging risk index, distance of candidate drainage paths, and terrain height. In order to be more suitable for substation scenarios, the surface resistance term R is further introduced. s(x, y), represents the permeability and resistance of different surface types (such as asphalt, grass, soil), which directly affects the flow rate of water. Therefore, the cost function of the drainage path is shown in expression (5).

[0076] J(P)=∑ (x,y)∈P (α1F r (x,y,t)+α2d(x,y)+α3Z(x,y)+α4R s (x,y)) (5)

[0077] Where J(P) represents the cost function of the candidate drainage path P, that is, the cost of the candidate path P. The smaller J(P) is, the better the path is. P represents the drainage path point set, which represents the continuous position set from the high-risk area of ​​waterlogging to the drainage point. F r (x, y, t) represents the waterlogging risk index, that is, the risk level of waterlogging at (x, y); d(x, y) represents the distance of each section of the candidate drainage path P; Z(x, y) represents the terrain height, which can reflect the elevation change in the path. The higher the area, the greater the cost; R s (x, y) represents the surface resistance term, which depends on the influence of surface material properties on water flow velocity. s The larger (x, y) is, the greater the resistance is and the slower the water flow speed is; α1, α2, α3, and α4 represent the weight parameters in the cost function, which are used to balance the impact of waterlogging risk, path length, terrain height, and surface resistance on the drainage path.

[0078] Step S243, solving the cost function using a gradient descent method to obtain an expected drainage path.

[0079] Specifically, due to the real-time requirements of the drainage path, the drainage path needs to be dynamically adjusted to adapt to changes in rainfall and waterlogging. The path is dynamically updated using the gradient descent algorithm. At each time t, the optimal direction of the path is calculated based on the current path cost J(P), and the path is updated based on the change in the gradient until the optimal path is found. The dynamic update process of the path is shown in Expression (6).

[0080]

[0081] Among them, P t+1 represents the drainage path updated at time t+1; P t represents the current drainage path at time t; η represents the step size, which controls the speed of path update; Represents the cost function J for path P t The gradient of , indicates the direction of change of the path cost.

[0082] Specifically, in each iteration, the drainage path is updated along the optimal direction, gradually reducing the cost J(P) on the drainage path until the cost reaches the minimum value, and the optimal drainage path at the current moment, that is, the expected drainage path, is found. The dynamic update process ensures that the present invention can respond quickly when the water accumulation and water flow conditions change, and adjust the drainage path in time to avoid water flow obstruction or path inefficiency.

[0083] Furthermore, in order to better integrate the actual scenario of the substation, two special constraints are introduced to ensure that the drainage path can avoid the key equipment area during planning and to ensure that the drainage path is not too long or too steep.

[0084] (1) Equipment avoidance constraint: Detect the location of key equipment in the substation and avoid drainage paths close to these equipment to prevent water accumulation from damaging the equipment. The equipment avoidance constraint is shown in expression (7).

[0085]

[0086] The equipment avoidance constraint sets the cost of equipment locations to infinity, ensuring that drainage paths never pass through these locations.

[0087] (2) Path slope constraint: When planning the drainage path, a path that is too steep may lead to poor drainage or too fast water flow, affecting drainage efficiency. Set the path slope constraint to avoid the path selecting an area with a large slope. The path slope constraint is shown in expression (8).

[0088]

[0089] Where ∈ is the maximum slope threshold allowed. If the slope is too large, the drainage path will be excluded. Therefore, a gentler path can be automatically selected to ensure stable water flow.

[0090] Based on the above steps S241 to S243, the distance and surface resistance coefficient of the candidate drainage path are obtained; the cost function of the drainage path is constructed using the terrain height, waterlogging risk index, the distance of the candidate drainage path and the surface resistance coefficient; the cost function is solved using the gradient descent method to obtain the expected drainage path, which can weigh the waterlogging risk, path length, terrain height and surface resistance, ensuring that the drainage path comprehensively considers the timely discharge of accumulated water and the safety of the discharge equipment, thereby improving the execution efficiency of the substation waterlogging control strategy and the drainage effect.

[0091] Optionally, in step S26, determining the current working state of the drainage equipment based on the waterlogging risk index and the water level includes:

[0092] Step S261, obtaining the water level threshold, the current drainage volume of the drainage equipment and the scheduling factor;

[0093] Step S262, in response to the water level being less than or equal to the water level threshold, determining that the current working state is a closed state;

[0094] Step S263, in response to the water level being higher than the water level threshold, determining the operating power of the drainage device based on the current drainage volume of the drainage device and the scheduling factor.

[0095] Specifically, first, ensure that at each time t, the volume of water in the current waterlogged area does not exceed the drainage capacity of the drainage equipment. Therefore, the current drainage volume of the drainage equipment is determined as shown in expression (9).

[0096]

[0097] Where C(t) represents the maximum amount of water discharged per unit time by the drainage equipment at time t; Q p (t) represents the maximum drainage capacity of the drainage equipment at time t, that is, the limit value of drainage per unit time; V(t) represents the water volume of the current flooded area; T s Indicates the time interval, that is, the working time of the drainage equipment; R d (x,y,t) represents the dynamic risk weighting factor of equipment scheduling, that is, the scheduling factor. d (x, y, t) will increase the working intensity of the drainage equipment; λ1 represents the adjustment coefficient, which is used to adjust the dynamic balance between the accumulated water volume and the drainage equipment.

[0098] Specifically, in order to ensure that the scheduling of drainage equipment can respond to changes in water volume and waterlogging risk in real time, a feedback control mechanism is adopted to dynamically adjust the start and stop status and operation intensity of the drainage equipment based on the water level sensor data. The control process of the drainage equipment is expressed as a formula based on the water level feedback control model, as shown in expression (10).

[0099]

[0100] Among them, U(t) represents the current operating state of the drainage equipment, that is, the amount of water that the drainage equipment needs to discharge per unit time; C(t) represents the scheduling intensity of the drainage equipment at time t, that is, the amount of water discharged by the drainage equipment per unit time at time t; H(x,y,t) represents the water level at the position (x,y) at time t; H crit (x,y) represents the critical value of the water level at position (x,y), that is, the water level threshold. When the water level exceeds the threshold, the drainage equipment must accelerate operation, and when the water level is lower than the threshold, the drainage equipment can suspend operation. γ represents the feedback control coefficient, which reflects the linear relationship between the drainage equipment regulating the accumulated water volume and the water level change.

[0101] Furthermore, since the terrain and water accumulation conditions of each area in the substation are different, it is necessary to prioritize the drainage equipment in areas with large water accumulation or rapid water level rise according to the water accumulation status and waterlogging risk of each area. The area to which the drainage equipment to be prioritized is determined according to expression (11).

[0102]

[0103] Among them, ΔS(t) represents the area to which the drainage equipment with priority scheduling belongs at time t; represents the water level rise rate, that is, the rate at which the accumulated water at (x, y) rises; V(x, y, t) represents the water volume at (x, y); λ2 represents the risk adjustment coefficient for priority scheduling, ensuring that areas with higher risks get priority in drainage resources; R d (x,y,t) represents the dynamic risk weighting factor of equipment scheduling, that is, the scheduling factor. d (x,y,t) will increase the working intensity of the drainage equipment.

[0104] Specifically, a control signal of the drainage device is generated according to expressions (9)-(11), and the current working state of the drainage device is controlled according to the control signal.

[0105] Based on the above steps S261 to S263, the water level threshold, the current drainage volume of the drainage equipment and the scheduling factor are obtained; in response to the water level being less than or equal to the water level threshold, the current working state is determined to be the closed state; in response to the water level being higher than the water level threshold, the working power of the drainage equipment is determined based on the current drainage volume of the drainage equipment and the scheduling factor, thereby improving the execution efficiency of the substation waterlogging control strategy and the drainage effect, thereby solving the technical problems of low execution efficiency and poor drainage effect of the substation waterlogging control strategy in related technologies.

[0106] Optionally, in step S28, determining a waterlogging control strategy based on the waterlogging risk index, the expected drainage path, and the current working status includes:

[0107] Step S281, obtaining the waterlogging risk threshold, water level change rate and current drainage path;

[0108] In step S281, the waterlogging risk threshold is used to indicate that when the value exceeds this value, the working intensity of the drainage equipment needs to be increased, which is denoted as R crit (x,y).

[0109] The water level change rate is Used to indicate the tendency of water to spread.

[0110] The above current drainage path is used to represent the actual drainage path.

[0111] Step S282, adjusting the current working state based on the waterlogging risk threshold and the waterlogging risk index to obtain a target working state;

[0112] Specifically, according to the waterlogging risk index F r (x, y, t) and waterlogging risk threshold R crit (x, y) adjusts the drainage intensity of the drainage equipment. If the risk of a certain area exceeds the waterlogging risk threshold R crit (x,y), the drainage equipment will automatically increase the working frequency and power to ensure that the accumulated water is quickly discharged. This risk feedback mechanism ensures that the equipment prioritizes high-risk areas, thereby preventing the spread of accumulated water near the substation and causing waterlogging.

[0113] In step S282, the target drainage path is used to characterize the drainage path used to remove accumulated water in the waterlogging control strategy.

[0114] Step S283, adjusting the current drainage path based on the water level change rate and the expected drainage path to obtain a target drainage path;

[0115] Specifically, if the water level change rate If it is monitored that the water level in some areas rises too fast or the water flow direction deviates from the optimal path, the current drainage path is adjusted based on the water level change rate and the expected drainage path to obtain the target drainage path.

[0116] Step S284, determining a waterlogging control strategy based on the target working state and the target drainage path.

[0117] Specifically, in order to ensure the synchronous optimization of the target drainage path and drainage equipment scheduling in the waterlogging control strategy, when the drainage path is adjusted, the scheduling and start-stop strategy of the drainage equipment will also be automatically adjusted synchronously. The process of coordinated scheduling of the target drainage path and drainage equipment is shown in expression (12).

[0118]

[0119] Among them, ΔS(t) represents the adjustment amount of drainage equipment scheduling at time t; ΔP(t) represents the path adjustment amount; represents the rate of change of water level, that is κ1 and κ2 represent linkage tuning coefficients, which respectively reflect the impact of path adjustment and water level change on equipment scheduling.

[0120] Specifically, it can be seen from expression (12) that the path adjustment ΔP(t) triggers the synchronous adjustment of the drainage equipment scheduling. If the current drainage path changes, the operation intensity of the drainage equipment is adjusted according to the target drainage path.

[0121] Based on the above steps S281 to S284, the waterlogging risk threshold, the water level change rate and the current drainage path are obtained; the current working state is adjusted based on the waterlogging risk threshold and the waterlogging risk index to obtain the target working state; the current drainage path is adjusted based on the water level change rate and the expected drainage path to obtain the target drainage path; the waterlogging control strategy is determined based on the target working state and the target drainage path, thereby achieving the purpose of quickly determining the waterlogging control strategy of the substation and dynamically adjusting the waterlogging control strategy of the substation, thereby achieving the technical effect of improving the execution efficiency of the substation waterlogging control strategy and the drainage effect, and then solving the technical problems of low execution efficiency and poor drainage effect of the substation waterlogging control strategy in related technologies.

[0122] Optionally, in step S283, the current drainage path is adjusted based on the water level change rate and the expected drainage path, and the target drainage path is obtained, including:

[0123] Step S2831, performing a deviation operation on the expected drainage path and the current drainage path to obtain a first calculation result;

[0124] Step S2832, performing weighted matching on the water level change rate and the first calculation result to obtain a path adjustment amount;

[0125] Step S2833, adjusting the current drainage path based on the path adjustment amount to obtain a target drainage path.

[0126] Specifically, the water level, water flow speed, and water diffusion are continuously monitored through the sensor network and satellite data, and the drainage path is optimized based on these data. If it is detected that the water level in some areas rises too fast or the water flow direction deviates from the optimal path, the current drainage path is adjusted to obtain the target drainage path. The process of determining the path adjustment amount is described in expression (13).

[0127]

[0128] Among them, ΔP(t) represents the path adjustment amount at time t, which represents the adjustment amount of the current drainage path; Indicates the rate of change of water level; P opt represents the expected drainage path; P real (t) represents the current drainage path; η1, η2 represent the feedback tuning coefficients, which respectively control the influence of water level change and path error on path adjustment.

[0129] Specifically, from expression (13), we can see that when the water level in a certain local area changes rapidly When the water level is 0, the adjustment amount ΔP(t) of the drainage path is adjusted to ensure that the water flows to low-lying areas or drainage facilities. The current drainage path is adjusted based on the path adjustment amount, and the deviation between the current drainage path and the expected water flow path is automatically corrected to obtain the target drainage path to ensure that the water is discharged as planned.

[0130] Specifically, after finding the target drainage path, it is necessary to select a suitable drainage point for the water flow. In order to ensure drainage efficiency, a drainage point selection strategy based on low-lying terrain is introduced. The selection of drainage points not only depends on the terrain height Z(x, y), but also needs to consider the location of drainage facilities. The drainage point selection process is shown in expression (14).

[0131] D(x,y)=min(Z(x,y)) subject to d(x,y)≤δ (14)

[0132] Among them, D(x,y) represents the drainage point, which satisfies the minimum terrain height and the shortest distance to the waterlogged area at the (x,y) position; d(x,y) represents the length of the drainage path; δ represents the maximum allowable distance of the drainage path to avoid the path being too long and affecting the drainage speed.

[0133] Therefore, expression (14) can automatically detect the lowest terrain locations and give priority to these areas as drainage points. If there are no suitable natural drainage points nearby, the drainage path can be directed to these facilities in combination with the locations of existing drainage facilities to ensure that the water can be discharged quickly.

[0134] Based on the above steps S2831 to S2833, the deviation between the expected drainage path and the current drainage path is calculated to obtain a first calculation result; the water level change rate and the first calculation result are weighted and matched to obtain a path adjustment amount; the current drainage path is adjusted based on the path adjustment amount to obtain a target drainage path, which can automatically correct the deviation between the current water flow path and the expected path, ensure that the water flows out along the target drainage path, and improve the drainage effect of the substation waterlogging control strategy.

[0135] Optionally, in step S282, the current working state is adjusted based on the waterlogging risk threshold and the waterlogging risk index, and the target working state is obtained, including:

[0136] Step S2821, obtaining a risk adjustment coefficient;

[0137] Step S2822, performing a difference operation on the waterlogging risk index and the waterlogging risk threshold to obtain a second calculation result;

[0138] Step S2823, performing a product operation on the risk adjustment coefficient and the second calculation result to obtain a third calculation result;

[0139] Step S2824, determining the target working state based on the third calculation result and the current working state.

[0140] Specifically, the water level sensor monitors the amount of accumulated water and the height of the water level, and automatically adjusts the start and stop of the drainage equipment and the drainage intensity. r (x, y, t) and waterlogging risk threshold R crit (x,y) adjusts the drainage intensity of the equipment. If the risk of a certain area exceeds the waterlogging risk threshold R crit (x, y), the drainage equipment will automatically increase the working frequency and power to ensure that the accumulated water is quickly discharged. This risk feedback mechanism ensures that the equipment prioritizes high-risk areas, thereby preventing the spread of accumulated water near the substation. The current working state is adjusted based on the waterlogging risk threshold and waterlogging risk index to obtain the target working state, as shown in expression (15).

[0141] C adj (t) = U (t) + λ3·(F r (x,y,t)-R crit (x,y)) (15)

[0142] Among them, C adj (t) represents the equipment scheduling intensity after adjustment at time t, that is, the target working state of the drainage equipment; U(t) represents the working state of the drainage equipment at time t; F r (x, y, t) represents the real-time waterlogging risk index; R crit (x, y) represents the waterlogging risk threshold. When this value is exceeded, the working intensity of the drainage equipment needs to be increased; λ3 represents the risk adjustment coefficient, which determines the impact of risk changes on the scheduling of drainage equipment.

[0143] Based on the above steps S2821 to S2824, a risk adjustment coefficient is obtained; a difference operation is performed on the waterlogging risk index and the waterlogging risk threshold to obtain a second calculation result; a product operation is performed on the risk adjustment coefficient and the second calculation result to obtain a third calculation result; based on the third calculation result and the current working status, a target working state is determined to ensure that the drainage equipment gives priority to high-risk areas, thereby preventing the spread of accumulated water near the substation and the occurrence of flooding.

[0144] Figure 3 FIG. 1 is a flow chart of another method for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention. Figure 3 As shown, the method comprises the following steps:

[0145] Step S301, collecting the terrain height, water volume and water level corresponding to the pixel point set in the preset area;

[0146] Step S302, obtaining an environmental resistance factor;

[0147] Step S303, determining water flow gradient information based on the environmental resistance factor and the terrain height;

[0148] Step S304, determining a waterlogging risk index based on water flow gradient information, terrain height, and water accumulation volume;

[0149] Step S305, obtaining the distance and surface resistance coefficient of the candidate drainage path;

[0150] Step S306, constructing a cost function of the drainage path using terrain height, waterlogging risk index, distance of candidate drainage paths and surface resistance coefficient;

[0151] Step S307, solving the cost function using a gradient descent method to obtain an expected drainage path;

[0152] Step S308, obtaining the water level threshold, the current drainage volume of the drainage equipment and the scheduling factor;

[0153] Step S309, in response to the water level being less than or equal to the water level threshold, determining that the current working state is a closed state;

[0154] Step S310, in response to the water level being higher than the water level threshold, determining the working power of the drainage device based on the current drainage volume of the drainage device and the scheduling factor;

[0155] Step S311, obtaining the waterlogging risk threshold, water level change rate and current drainage path;

[0156] Step S312, adjusting the current working state based on the waterlogging risk threshold and the waterlogging risk index to obtain a target working state;

[0157] Step S313, adjusting the current drainage path based on the water level change rate and the expected drainage path to obtain a target drainage path;

[0158] Step S314, determining a waterlogging control strategy based on the target working state and the target drainage path.

[0159] Based on the above steps S301 to S314, a method of collecting terrain height, water accumulation volume and water level corresponding to a set of pixel points in a preset area is adopted, and the waterlogging risk index is determined based on the terrain height and the waterlogging volume, the expected drainage path is determined based on the terrain height and the waterlogging risk index, and the current working state of the drainage equipment is determined based on the waterlogging risk index and the water level. Finally, the waterlogging control strategy of the substation is determined based on the waterlogging risk index, the expected drainage path and the current working state, thereby achieving the purpose of quickly determining the waterlogging control strategy of the substation and dynamically adjusting the waterlogging control strategy of the substation, thereby achieving the technical effect of improving the execution efficiency of the waterlogging control strategy of the substation and the drainage effect, and further solving the technical problems of low execution efficiency and poor drainage effect of the waterlogging control strategy of the substation in related technologies.

[0160] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0161] In an embodiment of the present invention, a device for determining a strategy for waterlogging control in a substation based on different geographical locations is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0162] Figure 4 is a structural block diagram of a device for determining a substation waterlogging control strategy based on different geographical locations according to one embodiment of the present invention, such as Figure 4 As shown, the device comprises:

[0163] Acquisition module 401, used to collect terrain height, water volume and water level corresponding to a set of pixel points in a preset area;

[0164] A first determination module 402 is used to determine a waterlogging risk index based on terrain height and waterlogging volume;

[0165] A second determination module 403 is used to determine an expected drainage path based on the terrain height and the waterlogging risk index;

[0166] A third determination module 404 is used to determine the current working state of the drainage equipment based on the waterlogging risk index and the water level;

[0167] The fourth determination module 405 is used to determine the waterlogging control strategy of the substation based on the waterlogging risk index, the expected drainage path and the current working status.

[0168] Optionally, the acquisition module 401 is also used to obtain an environmental resistance factor; the first determination module 402 is also used to: determine water flow gradient information based on the environmental resistance factor and terrain height; determine the waterlogging risk index based on the water flow gradient information, terrain height and accumulated water volume.

[0169] Optionally, the acquisition module 401 is also used to obtain the distance and surface resistance coefficient of the candidate drainage path; the second determination module 403 is also used to: construct a cost function of the drainage path using the terrain height, waterlogging risk index, the distance and surface resistance coefficient of the candidate drainage path; and solve the cost function using the gradient descent method to obtain the expected drainage path.

[0170] Optionally, the acquisition module 401 is also used to obtain the water level threshold, the current drainage volume of the drainage device and the scheduling factor; the third determination module 404 is also used to: in response to the water level being less than or equal to the water level threshold, determine that the current working state is a closed state; in response to the water level being higher than the water level threshold, determine the working power of the drainage device based on the current drainage volume and the scheduling factor of the drainage device.

[0171] Optionally, the acquisition module 401 is also used to obtain the waterlogging risk threshold, the water level change rate and the current drainage path; the fourth determination module 405 is also used to: adjust the current working state based on the waterlogging risk threshold and the waterlogging risk index to obtain the target working state; adjust the current drainage path based on the water level change rate and the expected drainage path to obtain the target drainage path; determine the waterlogging control strategy based on the target working state and the target drainage path.

[0172] Optionally, the device for determining a strategy for waterlogging control in a substation based on different geographical locations also includes a processing module 406, which is used to: perform a deviation operation on the expected drainage path and the current drainage path to obtain a first calculation result; perform a weighted ratio calculation on the water level change rate and the first calculation result to obtain a path adjustment amount; the fourth determination module 405 is also used to adjust the current drainage path based on the path adjustment amount to obtain a target drainage path.

[0173] Optionally, the acquisition module 401 is also used to obtain the risk adjustment coefficient; the processing module 406 is also used to: perform a difference operation on the waterlogging risk index and the waterlogging risk threshold to obtain a second calculation result; perform a product operation on the risk adjustment coefficient and the second calculation result to obtain a third calculation result; the fourth determination module 405 is also used to determine the target working state based on the third calculation result and the current working state.

[0174] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0175] According to one embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the method for determining a strategy for substation waterlogging control based on different geographical locations is executed.

[0176] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0177] Step S1, collecting the terrain height, water volume and water level corresponding to the pixel point set in the preset area;

[0178] Step S2, determining a waterlogging risk index based on terrain height and waterlogging volume;

[0179] Step S3, determining the expected drainage path based on the terrain height and the waterlogging risk index;

[0180] Step S4, determining the current working state of the drainage equipment based on the waterlogging risk index and the water level;

[0181] Step S5, determining the substation's waterlogging control strategy based on the waterlogging risk index, the expected drainage path, and the current working status.

[0182] According to one embodiment of the present invention, a non-volatile storage medium is further provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining a substation waterlogging control strategy based on different geographical locations when running.

[0183] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0184] Step S1, collecting the terrain height, water volume and water level corresponding to the pixel point set in the preset area;

[0185] Step S2, determining a waterlogging risk index based on terrain height and waterlogging volume;

[0186] Step S3, determining the expected drainage path based on the terrain height and the waterlogging risk index;

[0187] Step S4, determining the current working state of the drainage equipment based on the waterlogging risk index and the water level;

[0188] Step S5, determining the substation's waterlogging control strategy based on the waterlogging risk index, the expected drainage path, and the current working status.

[0189] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0190] According to one embodiment of the present invention, there is also provided a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for determining a strategy for waterlogging control in a substation based on different geographical locations.

[0191] Optionally, in this embodiment, the computer program product may be configured to store computer program instructions for performing the following steps:

[0192] Step S1, collecting the terrain height, water volume and water level corresponding to the pixel point set in the preset area;

[0193] Step S2, determining a waterlogging risk index based on terrain height and waterlogging volume;

[0194] Step S3, determining the expected drainage path based on the terrain height and the waterlogging risk index;

[0195] Step S4, determining the current working state of the drainage equipment based on the waterlogging risk index and the water level;

[0196] Step S5, determining the substation's waterlogging control strategy based on the waterlogging risk index, the expected drainage path, and the current working status.

[0197] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0198] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0199] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0200] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0201] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0202] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0203] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining a substation waterlogging control strategy based on different geographical locations, characterized in that: include: Collect the terrain height, water volume and water level corresponding to the pixel point set in the preset area; Determining a waterlogging risk index based on the terrain height and the waterlogging volume; determining an expected drainage path based on the terrain height and the waterlogging risk index; Determining a current working state of a drainage device based on the waterlogging risk index and the water level; A waterlogging control strategy for the substation is determined based on the waterlogging risk index, the expected drainage path and the current working status.

2. The method for determining substation waterlogging control strategies based on different geographical locations according to claim 1 is characterized in that: Determining the waterlogging risk index based on the terrain height and the waterlogging volume includes: Obtain environmental resistance factor; Determining water flow gradient information based on the environmental resistance factor and the terrain height; The waterlogging risk index is determined based on the water flow gradient information, the terrain height and the accumulated water volume.

3. The method for determining substation waterlogging control strategies based on different geographical locations according to claim 1 is characterized in that: Determining the expected drainage path based on the terrain height and the waterlogging risk index includes: Obtain the distance and surface resistance coefficient of candidate drainage paths; Constructing a cost function of a drainage path using the terrain height, the waterlogging risk index, the distance of the candidate drainage path, and the surface resistance coefficient; The cost function is solved using a gradient descent method to obtain the expected drainage path.

4. The method for determining substation waterlogging control strategies based on different geographical locations according to claim 1 is characterized in that: Determining the current working state of the drainage equipment based on the waterlogging risk index and the water level includes: Obtaining a water level threshold, a current discharge volume of the drainage device, and a scheduling factor; In response to the water level being less than or equal to the water level threshold, determining that the current working state is a closed state; In response to the water level being higher than the water level threshold, the operating power of the drainage device is determined based on a current drainage volume of the drainage device and a scheduling factor.

5. The method for determining substation waterlogging control strategies based on different geographical locations according to claim 4 is characterized in that: Determining a waterlogging control strategy based on the waterlogging risk index, the expected drainage path, and the current working status includes: Obtain waterlogging risk thresholds, water level change rates, and current drainage paths; Adjusting the current working state based on the waterlogging risk threshold and the waterlogging risk index to obtain a target working state; Adjusting the current drainage path based on the water level change rate and the expected drainage path to obtain a target drainage path; The waterlogging control strategy is determined based on the target working state and the target drainage path.

6. The method for determining substation waterlogging control strategies based on different geographical locations according to claim 5 is characterized in that: The current drainage path is adjusted based on the water level change rate and the expected drainage path to obtain a target drainage path, including: performing a deviation operation on the expected drainage path and the current drainage path to obtain a first calculation result; Performing weighted matching on the water level change rate and the first calculation result to obtain a path adjustment amount; The current drainage path is adjusted based on the path adjustment amount to obtain the target drainage path.

7. The method for determining substation waterlogging control strategies based on different geographical locations according to claim 5 is characterized in that: The current working state is adjusted based on the waterlogging risk threshold and the waterlogging risk index to obtain a target working state including: Obtain risk adjustment factors; performing a difference operation on the waterlogging risk index and the waterlogging risk threshold to obtain a second calculation result; Performing a product operation on the risk adjustment coefficient and the second calculation result to obtain a third calculation result; The target operating state is determined based on the third calculation result and the current operating state.

8. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein when the program is run, the method for determining a substation waterlogging control strategy based on different geographical locations as described in any one of claims 1 to 7 is executed.

9. A non-volatile storage medium, characterized in that: The storage medium stores a computer program, wherein: The computer program is configured to execute the method for determining a substation waterlogging control strategy based on different geographical locations as described in any one of claims 1 to 7 when running.

10. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the method for determining a substation waterlogging control strategy based on different geographical locations according to any one of claims 1 to 7.

Images