Power distribution room water immersion monitoring method and device, terminal equipment and storage medium

Abstract

The invention discloses a power distribution room water immersion monitoring method and device, terminal equipment and a storage medium, and the method comprises the steps: obtaining second water level data of an associated monitoring point of a target monitoring point when first water level data exceeds a first water level threshold value; when the second water level threshold value of the associated monitoring point exceeds the corresponding second water level threshold value, determining that the associated monitoring point is an abnormal associated monitoring point; when the number of the abnormal associated monitoring points exceeds a preset number threshold value, it is determined that water immersion abnormity exists in the associated area corresponding to the associated monitoring point set; acquiring image data of the associated area; and inputting the image data into a water immersion distribution area identification model, so that the water immersion distribution area identification model identifies and outputs a predicted water immersion distribution area in the image data. According to the method, the water immersion abnormity is verified by linking the associated monitoring points of the target detection points, and the accuracy of water immersion monitoring of the power distribution room can be greatly improved.

Description

Technical Field

[0001] This invention relates to the field of power grid technology, and in particular to a method, device, terminal equipment, and storage medium for monitoring water immersion in power distribution rooms. Background Technology

[0002] Current methods for monitoring water immersion in power distribution rooms mainly involve installing water immersion sensors inside or around the power distribution room, and then uploading the sensor monitoring results to a back-end server via the network. The back-end server then simply matches the sensor monitoring results with preset thresholds to determine whether water immersion has occurred in the power distribution room. However, this method provides limited data and has low monitoring accuracy. Summary of the Invention

[0003] This invention provides a method, device, terminal equipment, and storage medium for monitoring water immersion in power distribution rooms, in order to solve the technical problem of low accuracy in monitoring water immersion in power distribution rooms.

[0004] To address the aforementioned technical problems, embodiments of the present invention provide a method for monitoring water immersion in a power distribution room, comprising:

[0005] Obtain the first water level data at the target monitoring point;

[0006] Determine whether the first water level data exceeds a preset first water level threshold. If so, obtain a set of all associated monitoring points that include the target monitoring point. The types of association relationships between all monitoring points in the associated monitoring point set include: belonging to the same low-lying area and belonging to the same power distribution equipment.

[0007] For each set of associated monitoring points, obtain the second water level data of all associated monitoring points corresponding to the target monitoring point in the set of associated monitoring points;

[0008] For each of the associated monitoring points, it is determined whether the second water level threshold of the associated monitoring point exceeds the corresponding second water level threshold. If so, the associated monitoring point is confirmed as an abnormal associated monitoring point.

[0009] The number of abnormal associated monitoring points is counted, and it is determined whether the number of abnormal associated monitoring points exceeds a preset threshold. If so, it is confirmed that there is water immersion anomaly in the associated area corresponding to the set of associated monitoring points. The types of associated areas include: low-lying areas and power distribution equipment areas.

[0010] Obtain image data of the associated region;

[0011] The image data is input into the pre-trained waterlogging distribution area recognition model corresponding to the associated region, so that the waterlogging distribution area recognition model can identify and output the predicted waterlogging distribution area in the image data.

[0012] As a preferred option, after obtaining the first water level data of the target monitoring point, the following is also included:

[0013] Determine whether the first water level data exceeds a preset second water level threshold. If so, obtain the rainfall data of the target monitoring point; wherein the second water level threshold is less than the first water level threshold.

[0014] Based on the first water level data and the rainfall data, calculate the predicted water level data of the target monitoring point within a preset future time period;

[0015] Determine whether the predicted water level data exceeds the first water level threshold; if so, issue a flooding anomaly warning.

[0016] As a preferred embodiment, acquiring the image data of the associated region includes:

[0017] When it is confirmed that there is water immersion anomaly in the associated area corresponding to the set of associated monitoring points, several photographic devices corresponding to the associated area are activated so that each photographic device can take a picture of the associated area.

[0018] Acquire photographs taken by each of the aforementioned photographic devices;

[0019] All the photos are deduplicated and merged to obtain the image data.

[0020] As a preferred embodiment, the training process of the waterlogging distribution area identification model includes:

[0021] Acquire several sample image data of the associated region; wherein, the water immersion distribution area is marked in each of the sample image data;

[0022] Each of the sample image data is input into the constructed water immersion distribution area recognition model, so that the water immersion distribution area recognition model predicts the water immersion distribution area of ​​the sample in the sample image data;

[0023] Based on the samples, the predicted waterlogging distribution areas and corresponding waterlogging distribution areas are calculated. The loss function is then adjusted based on the calculation results of the loss function to obtain a trained waterlogging distribution area recognition model.

[0024] As a preferred embodiment, the method for monitoring water immersion in a power distribution room further includes:

[0025] When the associated area is a power distribution equipment area, the power is cut off to the equipment corresponding to the power distribution equipment area.

[0026] When the associated area is classified as a low-lying area, power is cut off to all devices in the low-lying area.

[0027] As a preferred embodiment, the method for monitoring water immersion in a power distribution room further includes:

[0028] When the type of the associated region is a power distribution equipment region, an abnormal maintenance task is generated for the equipment corresponding to the power distribution equipment region.

[0029] When the associated region is a low-lying area, an abnormal maintenance task is generated for each device in the low-lying area, and the priority of the abnormal maintenance task is set according to the importance priority of each device in the low-lying area.

[0030] As a preferred embodiment, the method for monitoring water immersion in a power distribution room further includes:

[0031] If the number of abnormal associated monitoring points does not exceed a preset number threshold, then the target monitoring point is marked as a fault monitoring point;

[0032] A fault repair task is generated for the fault monitoring point.

[0033] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0034] This invention acquires first water level data of a target monitoring point; determines whether the first water level data exceeds a preset first water level threshold; if so, acquires a set of all associated monitoring points including the target monitoring point; wherein the types of association relationships between all monitoring points in the associated monitoring point set include: belonging to the same low-lying area and belonging to the same power distribution equipment; for each associated monitoring point set, acquires second water level data of all associated monitoring points corresponding to the target monitoring point in the associated monitoring point set; for each associated monitoring point, determines whether the second water level threshold of the associated monitoring point exceeds the corresponding second water level threshold; if so, confirms that the associated monitoring point is an abnormal associated monitoring point; counts the number of abnormal associated monitoring points and determines whether the number of abnormal associated monitoring points exceeds a preset number threshold; if so, confirms that the associated area corresponding to the associated monitoring point set has an abnormal water immersion; wherein the types of associated areas include: low-lying areas and power distribution equipment areas; acquires image data of the associated areas; inputs the image data into a trained water immersion distribution area recognition model corresponding to the associated area, so that the water immersion distribution area recognition model can identify and output the predicted water immersion distribution area in the image data. This invention verifies water immersion anomalies by linking target detection points with associated monitoring points, which enriches the data volume and can greatly improve the accuracy of water immersion monitoring in power distribution rooms. Attached Figure Description

[0035] Figure 1 This is a flowchart illustrating a method for monitoring water immersion in a power distribution room according to an embodiment of the present invention;

[0036] Figure 2 This is a schematic diagram of the structure of a power distribution room water immersion monitoring device provided in one embodiment of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] Example 1

[0039] Please refer to Figure 1 The above is a flowchart illustrating a method for monitoring water immersion in a power distribution room according to an embodiment of the present invention, comprising:

[0040] S1. Obtain the first water level data of the target monitoring point.

[0041] It should be noted that the water level data acquisition equipment consists of water level sensors, including level gauges, radar water level monitors, underground water level monitors, and electronic water level gauges. The installation location of the water level data acquisition equipment can be determined based on the installation requirements and characteristics of the monitoring point. A monitoring point may have one or more different types of water level sensors.

[0042] In a preferred embodiment, after acquiring the first water level data of the target monitoring point, the method further includes:

[0043] Determine whether the first water level data exceeds a preset second water level threshold. If so, obtain the rainfall data of the target monitoring point; wherein the second water level threshold is less than the first water level threshold.

[0044] Based on the first water level data and the rainfall data, calculate the predicted water level data of the target monitoring point within a preset future time period;

[0045] Determine whether the predicted water level data exceeds the first water level threshold; if so, issue a flooding anomaly warning.

[0046] It should be noted that the rainfall data acquisition equipment is a rainfall monitoring instrument, installed outside the power distribution room. Based on the monitored water level data and rainfall volume, the water level changes over a future period are predicted, thereby achieving flood warning.

[0047] S2. Determine whether the first water level data exceeds the preset first water level threshold. If so, obtain a set of all associated monitoring points that include the target monitoring point. The types of association relationships between all monitoring points in the associated monitoring point set include: belonging to the same low-lying area and belonging to the same power distribution equipment.

[0048] It should be noted that this invention sets up multiple monitoring points and divides them according to whether they belong to the same low-lying area or the same power distribution equipment, resulting in several interconnected monitoring point sets. The monitoring points in each interconnected monitoring point set belong to the same low-lying area or the same power distribution equipment.

[0049] S3. For each set of associated monitoring points, obtain the second water level data of all associated monitoring points corresponding to the target monitoring point in the set of associated monitoring points.

[0050] S4. For each of the associated monitoring points, determine whether the second water level threshold of the associated monitoring point exceeds the corresponding second water level threshold. If so, confirm that the associated monitoring point is an abnormal associated monitoring point.

[0051] S5. Count the number of abnormal associated monitoring points and determine whether the number of abnormal associated monitoring points exceeds a preset number threshold. If so, confirm that there is water immersion anomaly in the associated area corresponding to the set of associated monitoring points. The types of associated areas include: low-lying areas and power distribution equipment areas.

[0052] It should be noted that the correlation between monitoring points is used to determine whether there is abnormal water immersion in the corresponding power distribution equipment or low-lying areas. Normally, the water level data of multiple monitoring points in the same related area are generally the same. Once the water level of multiple monitoring points is too high or too low, there may be abnormal water immersion in that area.

[0053] Existing technologies typically collect water level data from only one monitoring point to determine if flooding anomalies have occurred, neglecting the possibility of equipment malfunction. This could lead to situations where the collected water level data indicates flooding even when no anomaly is present. This invention determines that a flooding anomaly has been detected when the water level data at the target monitoring point exceeds a first water level threshold. At this point, the invention promptly acquires water level data from other associated monitoring points related to the target monitoring point, and uses the data from multiple monitoring points to jointly determine whether a flooding anomaly has indeed occurred. Each associated monitoring point has a preset second water level threshold to indicate whether a flooding anomaly has occurred. If multiple associated monitoring points determine that the water level data exceeds the corresponding preset second water level threshold, it indicates that a flooding anomaly does indeed exist in the corresponding associated area. This invention, by linking multiple associated monitoring points to the target detection point to verify flooding anomalies, can significantly improve the accuracy of flood monitoring in power distribution rooms.

[0054] This invention can generate a dynamic display map of anomalies based on the location of the target monitoring point and the associated anomaly monitoring point, combined with the equipment distribution map and GIS map of the power distribution room. It can also mark the monitoring points with anomalies by flashing or highlighting colors.

[0055] S6. Obtain the image data of the associated region.

[0056] In a preferred embodiment, acquiring the image data of the associated region includes:

[0057] When it is confirmed that there is water immersion anomaly in the associated area corresponding to the set of associated monitoring points, several photographic devices corresponding to the associated area are activated so that each photographic device can take a picture of the associated area.

[0058] Acquire photographs taken by each of the aforementioned photographic devices;

[0059] All the photos are deduplicated and merged to obtain the image data.

[0060] It should be noted that once an abnormal water immersion is confirmed in the associated area, a start command for the camera equipment will be triggered, and the camera equipment will be controlled to acquire image data of the associated area. Multiple cameras can be used. Based on the shooting ranges and image data received from multiple cameras, the multiple image data are deduplicated and merged to obtain the image data of the power distribution room.

[0061] This invention uses the monitoring results of a water level sensor to control the working status of a camera device, thereby saving resources while ensuring monitoring accuracy.

[0062] S7. Input the image data into the trained water immersion distribution area recognition model corresponding to the associated region, so that the water immersion distribution area recognition model can identify and output the predicted water immersion distribution area in the image data.

[0063] In a preferred embodiment, the training process of the water immersion distribution area identification model includes:

[0064] Acquire several sample image data of the associated region; wherein, the water immersion distribution area is marked in each of the sample image data;

[0065] Each of the sample image data is input into the constructed water immersion distribution area recognition model, so that the water immersion distribution area recognition model predicts the water immersion distribution area of ​​the sample in the sample image data;

[0066] Based on the samples, the predicted waterlogging distribution areas and corresponding waterlogging distribution areas are calculated. The loss function is then adjusted based on the calculation results of the loss function to obtain a trained waterlogging distribution area recognition model.

[0067] It should be noted that the waterlogging distribution area identification model is constructed by manually labeling the waterlogging distribution areas in the entire ground image data of the power distribution room in the past when waterlogging anomalies occurred. This creates a set of multiple entire ground image data of the power distribution room when waterlogging anomalies occurred. In this way, when an anomaly occurs in the power distribution room, the entire ground image data of the anomaly is matched with the constructed model in the system to determine the waterlogging distribution area, thus realizing the identification of the waterlogging distribution area.

[0068] In a preferred embodiment, the method for monitoring water immersion in a power distribution room further includes:

[0069] When the associated area is a power distribution equipment area, the power is cut off to the equipment corresponding to the power distribution equipment area.

[0070] When the associated area is classified as a low-lying area, power is cut off to all devices in the low-lying area.

[0071] It should be noted that once the present invention detects water immersion anomalies in a low-lying area or a power distribution device, it will control the corresponding device to shut down to achieve active isolation and ensure the normal operation of other devices.

[0072] In a preferred embodiment, the method for monitoring water immersion in a power distribution room further includes:

[0073] When the type of the associated region is a power distribution equipment region, an abnormal maintenance task is generated for the equipment corresponding to the power distribution equipment region.

[0074] When the associated region is a low-lying area, an abnormal maintenance task is generated for each device in the low-lying area, and the priority of the abnormal maintenance task is set according to the importance priority of each device in the low-lying area.

[0075] It should be noted that this invention prioritizes the maintenance personnel corresponding to abnormal repair tasks and sends maintenance notifications to the maintenance personnel's mobile terminal devices. When assigning maintenance personnel, abnormal tasks from multiple power distribution rooms can also be assigned to corresponding maintenance personnel based on the distribution area of ​​the power distribution rooms. When assigning multiple abnormal tasks, one is designated as the highest priority abnormal task, and the remaining abnormal tasks have a priority lower than a certain value. This ensures that the highest priority abnormal task is processed first.

[0076] In a preferred embodiment, the method for monitoring water immersion in a power distribution room further includes:

[0077] If the number of abnormal associated monitoring points does not exceed a preset number threshold, then the target monitoring point is marked as a fault monitoring point;

[0078] A fault repair task is generated for the fault monitoring point.

[0079] It should be noted that monitoring data from multiple water level sensors can be used to enable mutual monitoring between devices, and to promptly determine whether the target monitoring point is faulty, thus avoiding the impact of equipment malfunctions on the accuracy of water immersion detection.

[0080] Example 2

[0081] Please refer to Figure 2 This is a schematic diagram of the structure of a power distribution room water immersion monitoring device according to an embodiment of the present invention, including: a data acquisition module, a water immersion anomaly detection module, and a water immersion distribution area determination module;

[0082] The data acquisition module is used to acquire the first water level data of the target monitoring point;

[0083] The water immersion anomaly detection module is used to determine whether the first water level data exceeds a preset first water level threshold. If so, it acquires a set of all associated monitoring points including the target monitoring point. For each associated monitoring point set, it acquires the second water level data of all associated monitoring points corresponding to the target monitoring point in the associated monitoring point set. For each associated monitoring point, it determines whether the second water level threshold of the associated monitoring point exceeds the corresponding second water level threshold. If so, it confirms that the associated monitoring point is an abnormal associated monitoring point. It counts the number of abnormal associated monitoring points and determines whether the number of abnormal associated monitoring points exceeds a preset number threshold. If so, it confirms that there is a water immersion anomaly in the associated area corresponding to the associated monitoring point set. The association relationships between all monitoring points in the associated monitoring point set include: belonging to the same low-lying area and belonging to the same power distribution equipment. The associated area types include: low-lying area and power distribution equipment area.

[0084] The data acquisition module is also used to acquire image data of the associated region;

[0085] The water immersion distribution area determination module is used to input the image data into the trained water immersion distribution area recognition model corresponding to the associated area, so that the water immersion distribution area recognition model can identify and output the predicted water immersion distribution area in the image data.

[0086] Example 3

[0087] Accordingly, embodiments of the present invention provide a terminal device, the terminal device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the power distribution room water immersion monitoring method described in the above embodiments of the invention.

[0088] Example 4

[0089] Accordingly, embodiments of the present invention provide a storage medium, the storage medium including a stored computer program, wherein, when the computer program is running, it controls the device where the storage medium is located to execute the power distribution room water immersion monitoring method described in the above embodiments of the invention.

[0090] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0091] Those skilled in the art will clearly understand that, for convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0092] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0093] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the device, connecting various parts of the device via various interfaces and lines.

[0094] The memory can be used to store the computer program. The processor implements various functions of the device by running or executing the computer program stored in the memory and calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0095] The storage medium is a storage medium in which the computer program is stored. When executed by a processor, the computer program can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0096] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for monitoring water immersion in a power distribution room, characterized in that, include: Obtain the first water level data at the target monitoring point; Determine whether the first water level data exceeds a preset first water level threshold. If so, obtain a set of all associated monitoring points that include the target monitoring point. The types of association relationships between all monitoring points in the associated monitoring point set include: belonging to the same low-lying area and belonging to the same power distribution equipment. For each set of associated monitoring points, obtain the second water level data of all associated monitoring points corresponding to the target monitoring point in the set of associated monitoring points; For each of the associated monitoring points, it is determined whether the second water level threshold of the associated monitoring point exceeds the corresponding second water level threshold. If so, the associated monitoring point is confirmed as an abnormal associated monitoring point. The number of abnormal associated monitoring points is counted, and it is determined whether the number of abnormal associated monitoring points exceeds a preset threshold. If so, it is confirmed that there is water immersion anomaly in the associated area corresponding to the set of associated monitoring points. The types of associated areas include: low-lying areas and power distribution equipment areas. Obtain image data of the associated region; The image data is input into the pre-trained waterlogging distribution area recognition model corresponding to the associated region, so that the waterlogging distribution area recognition model can identify and output the predicted waterlogging distribution area in the image data.

2. The method for monitoring water immersion in a power distribution room as described in claim 1, characterized in that, After obtaining the first water level data of the target monitoring point, the following is also included: Determine whether the first water level data exceeds a preset second water level threshold. If so, obtain the rainfall data of the target monitoring point; wherein the second water level threshold is less than the first water level threshold. Based on the first water level data and the rainfall data, calculate the predicted water level data of the target monitoring point within a preset future time period; Determine whether the predicted water level data exceeds the first water level threshold; if so, issue a flooding anomaly warning.

3. The method for monitoring water immersion in a power distribution room as described in claim 1, characterized in that, The acquisition of image data of the associated region includes: When it is confirmed that there is water immersion anomaly in the associated area corresponding to the set of associated monitoring points, several photographic devices corresponding to the associated area are activated so that each photographic device can take a picture of the associated area. Acquire photographs taken by each of the aforementioned photographic devices; All the photos are deduplicated and merged to obtain the image data.

4. The method for monitoring water immersion in a power distribution room as described in claim 1, characterized in that, The training process of the waterlogging distribution area identification model includes: Acquire several sample image data of the associated region; wherein, the water immersion distribution area is marked in each of the sample image data; Each of the sample image data is input into the constructed water immersion distribution area recognition model, so that the water immersion distribution area recognition model predicts the water immersion distribution area of ​​the sample in the sample image data; Based on the samples, the predicted waterlogging distribution areas and corresponding waterlogging distribution areas are calculated. The loss function is then adjusted based on the calculation results of the loss function to obtain a trained waterlogging distribution area recognition model.

5. The method for monitoring water immersion in a power distribution room as described in claim 1, characterized in that, Also includes: When the associated area is a power distribution equipment area, the power is cut off to the equipment corresponding to the power distribution equipment area. When the associated area is classified as a low-lying area, power is cut off to all devices in the low-lying area.

6. The method for monitoring water immersion in a power distribution room as described in claim 1, characterized in that, Also includes: When the type of the associated region is a power distribution equipment region, an abnormal maintenance task is generated for the equipment corresponding to the power distribution equipment region. When the associated region is a low-lying area, an abnormal maintenance task is generated for each device in the low-lying area, and the priority of the abnormal maintenance task is set according to the importance priority of each device in the low-lying area.

7. The method for monitoring water immersion in a power distribution room as described in claim 1, characterized in that, Also includes: If the number of abnormal associated monitoring points does not exceed a preset number threshold, then the target monitoring point is marked as a fault monitoring point; A fault repair task is generated for the fault monitoring point.

8. A water immersion monitoring device for a power distribution room, characterized in that, include: Data acquisition module, water immersion anomaly detection module, and water immersion distribution area determination module; The data acquisition module is used to acquire the first water level data of the target monitoring point; The water immersion anomaly detection module is used to determine whether the first water level data exceeds a preset first water level threshold. If so, it acquires a set of all associated monitoring points including the target monitoring point. For each associated monitoring point set, it acquires the second water level data of all associated monitoring points corresponding to the target monitoring point in the associated monitoring point set. For each associated monitoring point, it determines whether the second water level threshold of the associated monitoring point exceeds the corresponding second water level threshold. If so, it confirms that the associated monitoring point is an abnormal associated monitoring point. It counts the number of abnormal associated monitoring points and determines whether the number of abnormal associated monitoring points exceeds a preset number threshold. If so, it confirms that there is a water immersion anomaly in the associated area corresponding to the associated monitoring point set. The association relationships between all monitoring points in the associated monitoring point set include: belonging to the same low-lying area and belonging to the same power distribution equipment. The associated area types include: low-lying area and power distribution equipment area. The data acquisition module is also used to acquire image data of the associated region; The water immersion distribution area determination module is used to input the image data into the trained water immersion distribution area recognition model corresponding to the associated area, so that the water immersion distribution area recognition model can identify and output the predicted water immersion distribution area in the image data.

9. A terminal device, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the substation water immersion monitoring method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the storage medium to perform the power distribution room water immersion monitoring method as described in any one of claims 1 to 7.

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