Substation hidden danger comprehensive monitoring method and system based on satellites

Abstract

The invention relates to the technical field of substation hidden danger monitoring, in particular to a substation hidden danger comprehensive monitoring method and system based on satellites, and the method comprises the steps: obtaining the image data of the surrounding environment of a substation and the operation data of the substation through the satellites; matching the received operation data of the transformer substation with a fault judgment condition constructed in the system, and judging whether the transformer substation has an operation fault or not; key features are extracted according to the image data, the transformer substation surrounding environment change is judged, and environment data are collected; matching the environment data acquired in real time with an environment fault identification model, and identifying an environment fault type; according to a preset rule demand, constructing associated words between the transformer substations, and realizing linkage monitoring of faults; and analyzing the video data, segmenting the video data according to dynamic element changes, and simplifying repeated segments into image data. The method has the beneficial effects that the method is not limited by the geographic position of the transformer substation and is not limited by a network, so that remote monitoring of the transformer substation is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer substation hidden danger monitoring, and in particular to a satellite-based transformer substation hidden danger comprehensive monitoring method and system. Background Art

[0002] Existing substation monitoring technology mainly relies on manual inspections, which is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring, resulting in significant delays in fault detection and handling. In addition, substations are usually located in remote areas, with limited manual inspections and communications, resulting in low monitoring efficiency and delayed fault response and maintenance work. At the same time, the lack of effective data collection and analysis methods, as well as the linkage monitoring mechanism between substations, limits the ability to respond to environmental changes in a timely manner and predict faults. Therefore, a new technical solution is urgently needed to improve the real-time, accuracy and efficiency of substation monitoring. Summary of the invention

[0003] In view of the above problems or problems existing in the prior art, the present invention is proposed.

[0004] Therefore, the purpose of the present invention is to provide a satellite-based comprehensive monitoring method for substation hidden dangers, which can solve the problems of low monitoring efficiency, poor real-time performance, and insufficient monitoring and fault response capabilities for substations in remote areas.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a satellite-based comprehensive monitoring method for substation hidden dangers, which includes acquiring image data of the surrounding environment of the substation and operation data of the substation through a satellite;

[0006] Match the received substation operation data with the fault judgment conditions constructed in the system to determine whether there is an operation fault in the substation;

[0007] Extract key features based on image data, determine changes in the surrounding environment of the substation, and collect environmental data;

[0008] Match the real-time acquired environmental data with the environmental fault identification model to identify the type of environmental fault;

[0009] Construct association words between substations according to preset rule requirements to achieve linkage monitoring of faults;

[0010] Analyze the video data, segment the video data according to the changes of dynamic elements, and simplify the repeated segments into image data;

[0011] The above data are compressed together and uploaded to the backend service center via satellite for remote monitoring and data analysis.

[0012] As a preferred solution of the satellite-based comprehensive monitoring method for substation hidden dangers of the present invention, the operation data includes current sensor data, leakage current sensor data, voltage sensor data, environmental sensor data, base station level meter detection sensor data, inclination sensor data, fault feature data, and historical fault data.

[0013] As a preferred solution of the satellite-based substation hidden danger comprehensive monitoring method of the present invention, wherein: the fault judgment condition is a preset threshold value set in the system corresponding to the operation data, and the actual operation data is compared with the preset threshold value, and the comparison result is used to judge whether a fault occurs;

[0014] If the actual operation data exceeds the preset threshold, it is judged as an operation failure; if the actual operation data does not exceed the preset threshold, it is judged as normal operation.

[0015] As a preferred solution of the satellite-based comprehensive monitoring method for substation hidden dangers of the present invention, the key features include environmental change features, structural abnormality features, water immersion features, fire features, illegal intrusion features, equipment damage features, temperature abnormality features, motion detection features, and lighting change features, and the environmental data is image data converted from the key features.

[0016] As a preferred solution of the satellite-based comprehensive monitoring method for substation hidden dangers of the present invention, the environmental fault types include base station sinking, base station tilting, flooding, fire, illegal intrusion, equipment damage, excessive vegetation growth, soil erosion, natural disasters, animal damage, extreme weather conditions, and abnormal lighting.

[0017] As a preferred solution of a satellite-based comprehensive monitoring method for transformer substation hidden dangers of the present invention, the compressed data includes image data, video data, and the time period when each image data appears.

[0018] To solve the above technical problems, the present invention also provides the following technical solutions: a satellite-based comprehensive monitoring system for substation hidden dangers, which includes a local monitoring module, a data acquisition module connected to the local monitoring module, a background service module connected to the data acquisition module, a data transmission and compression module connected to the data acquisition module, and a fault judgment and identification module connected to the background service module.

[0019] As a preferred solution of a satellite-based substation hidden danger integrated monitoring system of the present invention, wherein: the local monitoring module includes a local microcontroller, a satellite communication module, a local communication module, a local communication interface, and a high-definition camera device;

[0020] The local microcontroller is responsible for the control and data processing of the local monitoring device;

[0021] The satellite communication module is used to transmit data to the backend service center via satellite;

[0022] The local communication module realizes the connection with the local data acquisition device;

[0023] The local communication interface is electrically connected to the data acquisition device to realize data acquisition;

[0024] The high-definition camera device is used to capture the surrounding environment of the substation and obtain image data.

[0025] As a preferred solution of a satellite-based substation hidden danger integrated monitoring system of the present invention, wherein: the data acquisition module includes a current sensor, a leakage current sensor, a voltage sensor, a temperature sensor, a humidity sensor, a water level detection sensor, a base station level detection sensor, and an inclination sensor;

[0026] Current sensors monitor the current status of the substation;

[0027] The leakage current sensor monitors the leakage current status of the substation;

[0028] Voltage sensors monitor the voltage status of the substation;

[0029] Temperature sensors monitor the temperature of the substation environment;

[0030] Humidity sensors monitor the humidity of the substation environment;

[0031] Water level detection sensors monitor possible flooding in substations;

[0032] The base station level meter detection sensor monitors the horizontal status of the substation base station;

[0033] The tilt sensor monitors the tilt status of the substation base station.

[0034] As a preferred solution of a satellite-based substation hidden danger comprehensive monitoring system of the present invention, the background service module includes a main controller, a memory, a human-computer interactive display screen, a GIS geographic information system, and a cloud server;

[0035] The main controller is responsible for data management and control of the backend service center;

[0036] The memory stores the collected data and the test results;

[0037] The large human-computer interactive display screen is used to display the monitoring results and operating status of the substation;

[0038] GIS geographic information system displays the substation location and operating status in the form of a map;

[0039] Cloud servers are used for long-term data storage and fault data tracing.

[0040] Beneficial effects of the present invention: The present invention uses satellites to obtain monitoring data of substations, which is not limited by the geographical location of the substations or the network, so as to realize remote monitoring of substations. At the same time, it can also realize simultaneous monitoring of multiple substations, and realize linkage monitoring between substations by setting associations between substations. The fault type of one substation can realize focused monitoring of faults of other associated substations. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0042] Figure 1 The figure is a schematic diagram of the operating principle of a satellite-based comprehensive monitoring method for substation hidden dangers.

[0043] Figure 2 The invention discloses an implementation method of a satellite-based comprehensive monitoring system for hidden dangers of substations. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0045] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0046] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0047] Example 1

[0048] Reference Figure 1, which is the first embodiment of the present invention, provides a satellite-based comprehensive monitoring method for substation hidden dangers, which can solve the problems of low monitoring efficiency, poor real-time performance, and insufficient monitoring and fault response capabilities for substations in remote areas.

[0049] Specifically, image data of the substation's surrounding environment and substation operation data are obtained through satellites;

[0050] Match the received substation operation data with the fault judgment conditions constructed in the system to determine whether there is an operation fault in the substation;

[0051] Extract key features based on image data, determine changes in the surrounding environment of the substation, and collect environmental data;

[0052] Match the real-time acquired environmental data with the environmental fault identification model to identify the type of environmental fault;

[0053] Construct association words between substations according to preset rule requirements to achieve linkage monitoring of faults;

[0054] Analyze the video data, segment the video data according to the changes of dynamic elements, and simplify the repeated segments into image data;

[0055] The above data are compressed together and uploaded to the backend service center via satellite for remote monitoring and data analysis.

[0056] Furthermore, the operation data includes current sensor data, leakage current sensor data, voltage sensor data, environmental sensor data, base station level meter detection sensor data, tilt sensor data, fault characteristic data, and historical fault data.

[0057] It should be noted that the current sensor data is used to reflect the current status of the substation; the leakage current sensor data is used to monitor the leakage current of the substation; the voltage sensor data is used to monitor the voltage status of the substation; the environmental sensor data includes temperature sensors, humidity sensors, water level detection sensors, etc., which are used to monitor the environmental status of the substation; the base station level detection sensor data is used to monitor the horizontal status of the substation base station; the inclination sensor data is used to monitor the inclination status of the substation base station; the fault feature data is constructed by extracting the relevant features of the substation operation data through big data or machine learning; the historical fault data is compared with the fault feature data of the substation constructed in the history for fault prediction.

[0058] Furthermore, the fault judgment condition corresponds to the preset threshold value set in the system for the operating data, and the actual operating data is compared with the preset threshold value, and the comparison result is used to judge whether a fault occurs;

[0059] If the actual operation data exceeds the preset threshold, it is judged as an operation failure; if the actual operation data does not exceed the preset threshold, it is judged as normal operation.

[0060] Furthermore, the key features include environmental change features, structural abnormality features, water immersion features, fire features, illegal intrusion features, equipment damage features, temperature abnormality features, motion detection features, and lighting change features. Environmental data is image data converted from key features.

[0061] It should be noted that the environmental change feature is used to identify significant changes in the environment around the substation, such as terrain changes, changes in vegetation cover, etc.; the structural anomaly feature is used to detect abnormalities in the substation structure, such as base station sinking, base station tilting, etc.; the flooding feature is used to identify water level changes around the substation and detect whether there is flooding; the fire feature is used to detect whether there are signs of fire such as flames and smoke around the substation; the illegal intrusion feature is used to identify whether unauthorized personnel or vehicles have entered the substation area; the equipment damage feature is used to detect whether the substation equipment has signs of damage, detachment or missing; the temperature anomaly feature detects whether the equipment temperature is abnormal through thermal imaging technology, which may indicate that the equipment is overheating or malfunctioning; the motion detection feature is used to identify whether there is abnormal motion in the image, such as the movement of animals or other objects; the lighting change feature is used to detect changes in lighting conditions, such as abnormal shadows or brightness changes.

[0062] In addition to the key features of the corresponding environmental data mentioned above, it also includes image quality features used to evaluate image clarity, contrast and other quality indicators to ensure the validity of image data; time series features are used to analyze the changes in image data over time and identify periodic or trend changes; object recognition features are used to identify specific objects in the image, such as vehicles, personnel, equipment, etc.

[0063] Furthermore, environmental fault types include base station sinking, base station tilting, flooding, fire, illegal intrusion, equipment damage, vegetation overgrowth, soil erosion, natural disasters, animal damage, extreme weather conditions, and abnormal lighting.

[0064] It should be noted that if the base station of the substation sinks, it may affect the stability and safety of the equipment; if the base station of the substation tilts, it may cause structural damage or functional failure; if the substation area is flooded, it may cause short circuit or corrosion to the equipment; if a fire occurs around the substation, it may threaten the safe operation of the substation; if unauthorized personnel or animals enter the substation area, it may cause damage to the equipment; if the equipment of the substation is damaged due to natural aging, external force impact, etc.; if excessive vegetation growth affects the ventilation, heat dissipation or line of sight of the substation; if soil erosion causes the foundation of the substation to be unstable; if natural disasters include earthquakes, floods, mudslides and other natural disasters that affect the substation; if animal activities cause equipment damage or line interruption; if extreme weather such as blizzards, hail, lightning strikes, etc., may damage the substation; if abnormal lighting affects the normal operation of the substation's surveillance cameras and other optical sensors.

[0065] Furthermore, the compressed data includes image data, video data, and a time period in which each image data appears.

[0066] It should be noted that the preset rule requirements include the substation layout plan of the power grid, the level of the substation, the type of the substation, and the installation area of ​​the substation;

[0067] Through the above preset rule requirements, the substations that may have the same fault are found, and then associated words are constructed between the substations that may have the same fault or the substations with linkage relationships. In this way, once a substation is monitored to have a fault, the key faults of other substations with related relationships are promptly checked, and the corresponding hidden dangers are promptly eliminated.

[0068] Similarly, for substations located in the same mountainous area, when an environmental fault occurs in one substation, it may cause the same type of environmental fault to occur in other substations. Therefore, association words are constructed between these associated substations to achieve linkage monitoring of faults.

[0069] It should be further explained that when the video data is uploaded to the satellite, the video data will be analyzed and segmented according to the changes in the dynamic elements.

[0070] Specifically, firstly, the video data is extracted and analyzed to obtain a period of time, and when the period exceeds a preset value, the video data is simplified into image data, and the period of the video data is recorded. Then, when a new dynamic element appears, the video data is analyzed continuously, and it is determined whether there is a new element in the video data that exceeds a fixed period of time, and the video segments that meet the conditions are generated into image data in the same way; the video segments that do not meet the conditions are retained, and then the image data and the video data, as well as the period of time in which each image data appears, are compressed together to generate compressed data and uploaded to the background service center via satellite, so that the background service center receives the compressed data and decompresses it to obtain the image data and video data, and then generates the final video data according to the time point of the period of time in the video data where each image data is located, and then performs data analysis. By transmitting the repeated segments in the video data as one image data, the data volume of the video data transmission is reduced, saving data transmission resources.

[0071] The operation logic of this method is as follows: first, the image data and operation data of the surrounding environment of the substation are obtained through satellites; then, these data are matched with the fault judgment conditions and fault identification models preset in the system to determine whether the substation has an operation fault and identify the fault type; then, key features are extracted based on the image data to determine the changes in the surrounding environment of the substation, and the camera recording function and data acquisition device are started when the environment changes to collect more field data; finally, the real-time environmental data is matched with the environmental fault identification model to identify the type of environmental fault, and the video data is analyzed through image processing technology to realize automatic judgment of the type of environmental fault. At the same time, the system can also realize linkage monitoring according to the correlation between substations, and adjust the data collection frequency according to weather data and historical fault data to improve the accuracy of fault judgment. The whole process realizes remote transmission of data through satellite communication, which ensures remote monitoring and timely maintenance of substations, and improves the safety and reliability of substation operation.

[0072] In summary, the present invention uses satellites to obtain monitoring data of substations, which is not limited by the geographical location of the substations or the network, so as to realize remote monitoring of substations. At the same time, it can also realize simultaneous monitoring of multiple substations, and realize linkage monitoring between substations by setting associations between substations. The fault type of one substation can realize focused monitoring of faults of other associated substations.

[0073] Example 2

[0074] Reference Figure 2, which is the second embodiment of the present invention, provides a satellite-based comprehensive monitoring method for substation hidden dangers, which can solve the problems of low monitoring efficiency, poor real-time performance, and insufficient monitoring and fault response capabilities for substations in remote areas.

[0075] Specifically, a local monitoring module, a data acquisition module connected to the local monitoring module, a background service module connected to the data acquisition module, a data transmission and compression module connected to the data acquisition module, and a fault judgment and identification module connected to the background service module.

[0076] Further, the local monitoring module includes a local microcontroller, a satellite communication module, a local communication module, a local communication interface, and a high-definition camera device;

[0077] The local microcontroller is responsible for the control and data processing of the local monitoring device;

[0078] The satellite communication module is used to transmit data to the backend service center via satellite;

[0079] The local communication module realizes the connection with the local data acquisition device;

[0080] The local communication interface is electrically connected to the data acquisition device to realize data acquisition;

[0081] The high-definition camera device is used to capture the surrounding environment of the substation and obtain image data.

[0082] Further, the data acquisition module includes a current sensor, a leakage current sensor, a voltage sensor, a temperature sensor, a humidity sensor, a water level detection sensor, a base station level detection sensor, and an inclination sensor;

[0083] Current sensors monitor the current status of the substation;

[0084] The leakage current sensor monitors the leakage current status of the substation;

[0085] Voltage sensors monitor the voltage status of the substation;

[0086] Temperature sensors monitor the temperature of the substation environment;

[0087] Humidity sensors monitor the humidity of the substation environment;

[0088] Water level detection sensors monitor possible flooding in substations;

[0089] The base station level meter detection sensor monitors the horizontal status of the substation base station;

[0090] The tilt sensor monitors the tilt status of the substation base station.

[0091] Furthermore, the backend service module includes a main controller, a memory, a large human-computer interaction display screen, a GIS geographic information system, and a cloud server;

[0092] The main controller is responsible for data management and control of the backend service center;

[0093] The memory stores the collected data and the test results;

[0094] The large human-computer interactive display screen is used to display the monitoring results and operating status of the substation;

[0095] GIS geographic information system displays the substation location and operating status in the form of a map;

[0096] Cloud servers are used for long-term data storage and fault data tracing.

[0097] It should be noted that the data transmission and compression module is responsible for compressing the video data and image data, and uploading them to the background service center via satellite; the fault judgment and identification module includes algorithms and models for fault judgment and identification, such as fault feature data construction, fault type matching, etc.; among them, fault identification also includes algorithms and models for environmental fault judgment and identification, such as fault feature data construction, fault type matching, etc.

[0098] The operating principle of this system is as follows: the local monitoring module installed in the substation collects the operation data of the substation and the image data of the surrounding environment in real time, uploads the collected data to the satellite through the satellite communication module, and then transmits it to the background service center. The background service center matches the received operation data with the preset fault judgment conditions to determine whether there is an operation fault in the substation. If there is a fault, the system will further match the fault identification model, identify the fault type, and predict the fault based on historical data and feature extraction. At the same time, the system analyzes the image data, extracts key features, determines environmental changes, and starts the camera and data acquisition device when changes are detected to collect more data. At this time, the real-time environmental data is matched with the environmental fault identification model, and the video data is analyzed by image processing technology to identify the type of environmental fault. Further, according to the correlation between substations, the linkage monitoring of faults is realized, and the relevant substations are checked in detail. At the same time, the system dynamically adjusts the data collection frequency according to weather data and historical fault data to improve the accuracy of fault judgment. Once a fault is identified, the system generates a maintenance task and connects with the maintenance platform to achieve real-time follow-up of the maintenance task, and updates the model built in the system according to the new fault data to improve the accuracy and adaptability of the system.

[0099] In summary, the present invention uses satellites to obtain monitoring data of substations, which is not limited by the geographical location of the substations or the network, so as to realize remote monitoring of substations. At the same time, it can also realize simultaneous monitoring of multiple substations, and realize linkage monitoring between substations by setting associations between substations. The fault type of one substation can realize focused monitoring of faults of other associated substations.

[0100] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible without substantially departing from the novel teachings and advantages of the subject matter described in the application (e.g., mounting arrangements, use of materials, color, changes in orientation, etc.). For example, the element shown as integrally formed may be composed of a plurality of parts or elements, the position of the element may be inverted or otherwise changed, and the nature or number or position of the discrete element may be altered or changed. Therefore, all such modifications are intended to be included within the scope of the present invention. The order or sequence of any process or method steps may be changed or reordered according to an alternative embodiment. In the claims, any "bracket plus function" clause is intended to cover the structure of the execution function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the present invention is not limited to a specific embodiment, but extends to a variety of modifications that still fall within the scope of the appended claims.

[0101] Additionally, in an effort to provide a concise description of example embodiments, all features of an actual implementation may not be described.

[0102] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

[0103] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A satellite-based comprehensive monitoring method for substation hidden dangers, characterized in that: include, Obtain image data of the substation's surrounding environment and substation operation data through satellite; Match the received substation operation data with the fault judgment conditions constructed in the system to determine whether there is an operation fault in the substation; Extract key features based on image data, determine changes in the surrounding environment of the substation, and collect environmental data; Match the real-time acquired environmental data with the environmental fault identification model to identify the type of environmental fault; Construct association words between substations according to preset rule requirements to achieve linkage monitoring of faults; Analyze the video data, segment the video data according to the changes of dynamic elements, and simplify the repeated segments into image data; The above data are compressed together and uploaded to the backend service center via satellite for remote monitoring and data analysis.

2. The satellite-based comprehensive monitoring method for substation hidden dangers according to claim 1, characterized in that: The operation data includes current sensor data, leakage current sensor data, voltage sensor data, environmental sensor data, base station level meter detection sensor data, tilt sensor data, fault characteristic data, and historical fault data.

3. The satellite-based comprehensive monitoring method for substation hidden dangers according to claim 2 is characterized in that: The fault judgment condition corresponds to the preset threshold value set in the system for the operating data. The actual operating data is compared with the preset threshold value, and the comparison result is used to judge whether a fault occurs; If the actual operation data exceeds the preset threshold, it is judged as an operation failure; If the actual operation data does not exceed the preset threshold, it is judged to be normal operation.

4. The satellite-based comprehensive monitoring method for substation hidden dangers according to claim 3 is characterized in that: The key features include environmental change features, structural abnormality features, water immersion features, fire features, illegal intrusion features, equipment damage features, temperature abnormality features, motion detection features, and lighting change features. The environmental data is image data converted from the key features.

5. The satellite-based comprehensive monitoring method for substation hidden dangers according to claim 4 is characterized in that: The environmental failure types include base station sinking, base station tilting, flooding, fire, illegal intrusion, equipment damage, excessive vegetation growth, soil erosion, natural disasters, animal damage, extreme weather conditions, and abnormal lighting.

6. The satellite-based comprehensive monitoring method for substation hidden dangers according to claim 5 is characterized in that: The compressed data includes image data, video data, and a time period in which each image data appears.

7. A satellite-based substation hidden danger integrated monitoring system, applicable to the above-mentioned satellite-based substation hidden danger integrated monitoring method, characterized in that: include, A local monitoring module, a data acquisition module connected to the local monitoring module, a background service module connected to the data acquisition module, a data transmission and compression module connected to the data acquisition module, and a fault judgment and identification module connected to the background service module.

8. The satellite-based comprehensive monitoring method for substation hidden dangers according to claim 7, characterized in that: The local monitoring module includes a local microcontroller, a satellite communication module, a local communication module, a local communication interface, and a high-definition camera device; The local microcontroller is responsible for the control and data processing of the local monitoring device; The satellite communication module is used to transmit data to the background service center via satellite; The local communication module realizes connection with the local data acquisition device; The local communication interface is electrically connected to the data acquisition device to realize data acquisition; The high-definition camera device is used to capture the surrounding environment of the substation and obtain image data.

9. The satellite-based comprehensive monitoring method for substation hidden dangers according to claim 8, characterized in that: The data acquisition module includes a current sensor, a leakage current sensor, a voltage sensor, a temperature sensor, a humidity sensor, a water level detection sensor, a base station level detection sensor, and an inclination sensor; The current sensor monitors the current status of the substation; The leakage current sensor monitors the leakage current status of the substation; The voltage sensor monitors the voltage status of the substation; The temperature sensor monitors the temperature of the substation environment; The humidity sensor monitors the humidity of the substation environment; The water level detection sensor monitors possible flooding of the substation; The base station level meter detection sensor monitors the horizontal state of the substation base station; The tilt sensor monitors the tilt state of the substation base station.

10. The satellite-based substation hidden danger integrated monitoring system according to claim 9, characterized in that: The backend service module includes a main controller, a memory, a large human-computer interaction display screen, a GIS geographic information system, and a cloud server; The main controller is responsible for data management and control of the background service center; The memory stores the collected data and test results; The human-computer interaction display screen is used to display the monitoring results and operating status of the substation; The GIS geographic information system displays the location and operating status of the substation in a map format; The cloud server is used for long-term storage of data and tracing of fault data.

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