Substation water immersion and geological displacement monitoring method, system and equipment based on air-ground cooperation and medium

Abstract

The invention relates to the technical field of electric power facility safety monitoring, and discloses a substation water immersion and geological displacement monitoring method, system and device based on air-ground collaboration and a medium, and the method comprises the steps: obtaining visible light satellite image data and radar satellite image data of a peripheral region of a substation through a satellite monitoring module, and carrying out the preprocessing of the data; a ground monitoring module collects substation water immersion data, geological displacement data, video images and meteorological data in real time; the satellite data and the ground monitoring data are encrypted and transmitted to the data processing center through the data transmission module; performing fusion analysis on the received data by using a data processing and analysis module, predicting a hidden danger development trend through a water immersion diffusion model and a geological displacement deformation model, and generating a risk level based on a risk assessment model; and when the risk level exceeds a preset threshold value, an early warning module is triggered to send early warning information through multiple channels. The hidden danger early warning and treatment capability of the transformer substation can be improved, and safe and stable operation of the transformer substation is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of power facility safety monitoring technology, and in particular to a method, system, equipment and medium for monitoring water immersion and geological displacement in substations based on space-ground collaboration. Background Technology

[0002] Traditional substation monitoring methods mainly rely on manual inspections, which suffer from problems such as low efficiency, poor real-time performance, and limitations imposed by environmental factors. They are difficult to detect and warn of potential water inundation and geological displacement hazards in a timely and accurate manner, and often can only be carried out in a passive manner after a disaster occurs. This cannot meet the high requirements of modern power systems for the safety management and control of substations. Summary of the Invention

[0003] In view of the aforementioned existing problems, the present invention is proposed.

[0004] Therefore, this invention provides a method for monitoring water immersion and geological displacement in substations based on space-ground collaboration, which can achieve efficient, accurate and real-time monitoring of water immersion and geological displacement in substations, thereby improving the substation's ability to detect and manage potential hazards and ensuring the safe and stable operation of the substation.

[0005] To address the aforementioned technical problems, this invention provides the following technical solution: a substation water immersion and geological displacement monitoring method based on space-ground collaboration, comprising: acquiring visible light satellite imagery data and radar satellite imagery data of the area surrounding the substation through a satellite monitoring module, and preprocessing the data; collecting substation water immersion data, geological displacement data, video images, and meteorological data in real time through a ground monitoring module; encrypting and transmitting satellite data and ground monitoring data to a data processing center through a data transmission module; fusing and analyzing the received data using a data processing and analysis module, predicting the development trend of potential hazards through water immersion diffusion models and geological displacement deformation models, and generating risk levels based on risk assessment models; and triggering an early warning module to send early warning information through multiple channels when the risk level exceeds a preset threshold.

[0006] As a preferred embodiment of the substation water immersion and geological displacement monitoring method based on space-ground collaboration described in this invention, the satellite monitoring module acquires high-resolution visible light satellite images and radar satellite images, covering a preset geographical area around the substation.

[0007] As a preferred embodiment of the ground-ground collaborative substation water immersion and geological displacement monitoring method described in this invention, the ground monitoring module includes: capacitive water immersion sensors deployed in areas prone to water accumulation; pressure sensors installed at key drainage nodes; displacement monitoring equipment installed at geological risk points; a high-definition video monitoring device covering the substation safety area; and meteorological parameter acquisition equipment deployed in the substation.

[0008] As a preferred embodiment of the substation water immersion and geological displacement monitoring method based on space-ground collaboration described in this invention, the data transmission module adopts a hybrid networking method of wireless communication, wired transmission and satellite communication, and encrypts and verifies the transmitted data.

[0009] As a preferred embodiment of the substation water immersion and geological displacement monitoring method based on space-ground collaboration described in this invention, the data processing and analysis module runs on a high-performance server and extracts feature information of water immersion depth, geological displacement and meteorological parameters through data mining and machine learning algorithms.

[0010] A geological displacement and deformation model is constructed based on the friction angle, cohesion, and density parameters of the soil and rock mass.

[0011] Based on the location, type, and meteorological conditions of the potential hazards, they are classified into four levels: low risk, medium risk, high risk, and extremely high risk.

[0012] As a preferred embodiment of the substation water immersion and geological displacement monitoring method based on space-ground coordination described in this invention, the early warning threshold includes water immersion depth > 20cm or geological displacement > 5mm.

[0013] Early warning channels include SMS, email, and audible and visual alarms, with the sound intensity of the audible and visual alarms being ≥80dB and the illuminance being ≥100cd / ㎡.

[0014] As a preferred embodiment of the substation water immersion and geological displacement monitoring method based on space-ground coordination described in this invention, the water immersion diffusion model calculates the equipment damage time based on the substation area and the design flow rate of the drainage system, and the geological displacement deformation model calculates the mountain stability coefficient through the limit equilibrium analysis method.

[0015] This invention provides a substation water immersion and geological displacement monitoring system based on space-ground collaboration.

[0016] As a preferred embodiment of the substation water immersion and geological displacement monitoring system based on space-ground collaboration described in this invention, it includes: a satellite monitoring module, a ground monitoring module, a data transmission module, a data processing and analysis module, and an early warning module;

[0017] The satellite monitoring module provides macroscopic geological information support and eliminates monitoring blind spots;

[0018] The ground monitoring module collects microscopic data such as water immersion depth, geological displacement, video images, and meteorological parameters in real time.

[0019] The data transmission module adopts a hybrid networking architecture of wireless communication, wired transmission and satellite communication. It is responsible for encrypting and transmitting satellite and ground monitoring data to the data processing center and performing data integrity verification.

[0020] The data processing and analysis module performs multi-source data fusion analysis, predicts the development trend of water accumulation through a water immersion diffusion model, assesses geological stability through a geological displacement deformation model, and generates a quantitative risk level based on a risk assessment model.

[0021] The early warning module is equipped with a multi-channel information push interface and an audible and visual alarm device, which automatically triggers an early warning signal when the risk level exceeds a preset threshold.

[0022] The present invention provides a computer device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of a substation water immersion and geological displacement monitoring method based on space-ground collaboration.

[0023] The present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of a method for monitoring water immersion and geological displacement in substations based on space-ground coordination are implemented.

[0024] The beneficial effects of this invention are as follows: By integrating high-resolution satellite monitoring with a ground sensor network, this invention achieves comprehensive and multi-dimensional monitoring of potential water intrusion and geological displacement hazards in substations, eliminating monitoring blind spots. It innovatively adopts a space-ground collaborative data integration mechanism, fusing macroscopic geological information with microscopic real-time monitoring data to construct water intrusion diffusion models and geological displacement deformation models. Combined with machine learning algorithms and fuzzy comprehensive evaluation methods, it achieves risk quantification and grading. A multi-channel early warning system is configured, automatically triggering SMS, email, and audible / visual alarms when the risk exceeds a threshold. The system supports flexible customization and expansion for substations in mountainous, coastal, and urban areas, significantly improving the early warning capability for potential hazards. This invention transforms passive repair into proactive prevention, reducing equipment damage and power outage losses, optimizing operation and maintenance resources, and ensuring the safe and stable operation of the power grid. Attached Figure Description

[0025] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 A flowchart of the satellite monitoring module of a substation water immersion and geological displacement monitoring method based on space-ground collaboration, provided as an embodiment of the present invention.

[0027] Figure 2 A flowchart of the ground monitoring module of a ground monitoring method for monitoring water immersion and geological displacement in substations based on ground-ground collaboration, provided as an embodiment of the present invention.

[0028] Figure 3 The flowchart of the data processing and analysis module of the substation water immersion and geological displacement monitoring method based on space-ground collaboration is provided in one embodiment of the present invention. Detailed Implementation

[0029] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0030] Example 1, referring to Figures 1-3 This is the first embodiment of the present invention, which provides a method for monitoring water immersion and geological displacement in substations based on space-ground coordination, including:

[0031] S1: Obtain visible light satellite imagery data and radar satellite imagery data of the area surrounding the substation through the satellite monitoring module, and preprocess the data.

[0032] Furthermore, we will collaborate with high-resolution visible light satellite and radar satellite data providers to acquire satellite data with resolutions of ≤1m and ≤3m respectively, to clearly reflect the topography, water distribution, and geological structure surrounding the substation. A preprocessing system will be established at the data processing center to perform radiometric, geometric, and atmospheric corrections on the satellite data, removing interference factors such as clouds and shadows, improving data quality, and providing macroscopic geological information support for subsequent ground monitoring.

[0033] S2: Real-time data collection of substation water immersion data, geological displacement data, video images, and meteorological data via ground monitoring modules.

[0034] Furthermore, capacitive water immersion sensors are installed in easily flooded areas such as indoor cable trenches and basements of the substation, as well as in low-lying outdoor areas, with a detection depth of ≥0.5m. Pressure sensors are also installed at drainage outlets and sump pits to achieve accurate water level measurement with an error controlled within ≤1cm. GNSS receivers and high-precision tiltmeters are installed at key locations such as the surrounding mountains and foundations of the substation to ensure displacement monitoring accuracy at the millimeter level. The monitoring frequency is set according to geological conditions and risk level, generally collecting data every 5-60 minutes. High-definition cameras with infrared night vision capabilities are installed at key locations such as the perimeter walls and equipment areas of the substation, with a resolution of ≥1920×1080 and a coverage area of ​​≥120°. These cameras are connected to an intelligent analysis server to analyze video images in real time using deep learning algorithms, identifying targets such as hanging objects and abnormal personnel activities, ensuring a video monitoring and identification accuracy rate of ≥91%. Meanwhile, meteorological sensors integrating temperature, humidity, wind speed, and rainfall sensors are installed in open areas or at the top ventilation openings within the substation. The measurement accuracies are ±0.5℃, ±3%RH, ±0.5m / s, and ±0.2mm, respectively. The installation height is approximately 2m. The sensors are calibrated and standardized to ensure data accuracy and provide real-time meteorological data for the data processing and analysis module.

[0035] S3: The satellite data and ground monitoring data are encrypted and transmitted to the data processing center through the data transmission module.

[0036] Furthermore, considering the substation's geographical location and site environment, a stable and reliable data transmission network is constructed by combining 4G / 5G wireless communication technology, Ethernet wired transmission technology, and satellite communication to ensure that data can be transmitted to the data processing center in real time and stably. The various sensor devices of the satellite monitoring module and ground monitoring module are connected to the data acquisition terminal, and the corresponding network parameters and communication protocols are configured to enable the collected data to be transmitted to the data processing and analysis module in real time. In this embodiment, AES-256 encryption algorithm and CRC-32 checksum algorithm software are used to encrypt and verify the transmitted data, ensuring data security and integrity.

[0037] In an optional embodiment, the encryption and verification of transmitted data can also be achieved through the national cryptographic standard SM4 encryption and BLAKE3 hash verification. Specifically, the national cryptographic standard SM4 algorithm key is pre-set at the data transmission terminal, the satellite and ground monitoring data are encrypted in blocks, and a 256-bit digest value for each block of data is generated using the BLAKE3 hash algorithm and appended to the end of the data packet. The receiving end decrypts the data using the pre-shared key and recalculates the hash value to verify the integrity.

[0038] In another alternative embodiment, encryption and verification of transmitted data can also be achieved through quantum key distribution (QKD) pre-configuration and lightweight ChaCha20 encryption. Specifically, quantum keys are pre-distributed to substations and data centers via fiber optic networks, and the ChaCha20 stream encryption algorithm is used in conjunction with the pre-configured quantum keys to encrypt transmitted data in real time. The receiving end decrypts the data using the same quantum key and verifies continuity through the data packet sequence number.

[0039] S4: The data processing and analysis module is used to fuse and analyze the received data, predict the development trend of hidden dangers through water immersion diffusion model and geological displacement deformation model, and generate risk level based on risk assessment model.

[0040] Furthermore, it is equipped with high-performance servers with a processor clock speed of ≥3.0GHz, memory ≥64GB, and storage capacity ≥10TB, employing a distributed storage architecture. It also includes an operating system, database management system, and data processing and analysis software, such as programming languages ​​like MATLAB and Python. Data mining and machine learning algorithms are used to deeply analyze historical and real-time data from water immersion sensors, geological displacement sensors, and meteorological sensors, extracting key feature information. Hazard change models are established, including water immersion diffusion models and geological displacement deformation models, predicting the development trends of water immersion and geological displacement through model analysis. A risk assessment model is constructed, comprehensively considering factors such as hazard type, hazard location, hazard severity, and meteorological conditions. Fuzzy comprehensive evaluation is used to quantitatively assess the water immersion and geological displacement risks of the substation, classifying the risk levels into four levels: low risk, medium risk, high risk, and extremely high risk, providing a decision-making basis for the early warning module.

[0041] S5: When the risk level exceeds the preset threshold, the early warning module is triggered to send early warning information through multiple channels.

[0042] Furthermore, based on the actual operating conditions and risk tolerance of the substation, combined with historical data and expert experience, reasonable warning thresholds are set for water immersion depth, geological displacement, and meteorological parameters. For example, an early warning is triggered when the water immersion depth exceeds 20cm or the geological displacement reaches 5mm. Multiple warning channels are configured, such as SMS, email, and audible and visual alarms, to ensure that warning information can be promptly notified to substation maintenance personnel. Audible and visual alarms are installed in the substation control room and duty room, with an alarm sound intensity ≥80dB and an illuminance ≥100cd / ㎡ at a distance of 3m, so that maintenance personnel can quickly detect and respond.

[0043] It should be noted that in mountainous areas with complex terrain, there are potential geological hazards such as landslides and mudslides. Furthermore, frequent summer rainfall can easily lead to flooding. The satellite monitoring module acquires remote sensing imagery data of the substation and its surrounding 5km radius daily. After preprocessing, this data provides macroscopic geological information for ground monitoring. In the ground monitoring module, water immersion and pressure sensors monitor water level changes within the substation in real time, geological displacement sensors monitor mountain displacement and subsidence, video surveillance equipment monitors surrounding debris and human activity, and meteorological sensors monitor meteorological conditions such as temperature, humidity, wind speed, and rainfall. The data transmission module aggregates all monitoring data to the data processing and analysis module. Through established hazard change models and risk assessment models, the module predicts the development trends of water immersion and geological displacement, assesses the substation's risk level, and once the risk assessment results reach the set warning threshold, the warning module issues warning information via SMS, email, and audible and visual alarms, reminding maintenance personnel to take preventative measures such as strengthening drainage and reinforcing mountain slopes to ensure the safe operation of the substation.

[0044] Located in a tidal flat area, the coastal substation is susceptible to seawater erosion and typhoon damage, posing risks such as foundation subsidence and seawater intrusion. Heavy rainfall can also cause flooding within the substation. Satellite monitoring modules regularly acquire remote sensing imagery data of the substation and its surrounding sea area. Radar satellites utilize their penetrating power to monitor seabed topography changes and foundation subsidence. Visible light satellites are used to observe sea surface conditions and vegetation changes around the substation, providing macroscopic geological information for ground monitoring. Water immersion sensors and geological displacement sensors are installed at key locations within the substation, such as cable trenches and equipment foundations, to monitor water level changes and foundation subsidence. Meteorological sensors are also installed around the substation to monitor parameters such as wind speed, rainfall, and tide levels. Video surveillance equipment is installed at the highest point of the substation. At key passageways, real-time monitoring of internal equipment and surrounding seawalls is implemented to promptly detect anomalies. The data transmission module combines 5G wireless communication and microwave communication technologies to ensure stable data transmission in the complex electromagnetic environment of the coast. The data processing and analysis module optimizes data mining and machine learning algorithms tailored to the characteristics of coastal substations, comprehensively considering the impact of factors such as seawater corrosion and tidal changes on substation safety, and establishing more accurate hazard change models and risk assessment models. When signs of seawater backflow or accelerated foundation settlement are detected, the early warning module promptly issues warning signals to remind maintenance personnel to activate emergency plans, such as shutting down relevant equipment and strengthening seawall protection, to ensure the safe and stable operation of the substation.

[0045] The city center substation is located underground in a complex environment, posing a risk of subsidence due to groundwater level fluctuations. Inadequate urban drainage systems also contribute to substation flooding. Furthermore, it is necessary to guard against acts of sabotage such as terrorist attacks. Satellite monitoring modules acquire remote sensing imagery data of the urban area, focusing on ground subsidence around the substation and the layout of the urban drainage system. Time-series analysis monitors minute changes in urban ground subsidence, providing macro-level guidance for ground monitoring. Water immersion sensors are installed in cable tunnels and underground equipment rooms within the substation to monitor groundwater leakage and water accumulation caused by poor drainage. Geological displacement sensors are installed at key parts of the substation's foundation structure to monitor subsidence and deformation. Video surveillance equipment provides comprehensive coverage of key locations such as substation entrances, equipment areas, and corridors, utilizing intelligent... The analysis algorithm monitors personnel behavior in real time, identifying suspicious individuals and abnormal activities. Meteorological sensors are installed at locations such as the ventilation openings on the top of the substation to monitor local urban meteorological conditions, such as rainfall and temperature changes. The data transmission module utilizes the city's existing fiber optic communication network to achieve high-speed and stable data transmission. The data processing and analysis module combines urban geological data and surrounding environmental information to establish a hazard change model and risk assessment model for the urban central substation, considering the impact of factors such as urban traffic vibration and underground engineering construction on the substation. When the water immersion depth is detected to be close to the set threshold or when suspicious personnel are found to have intruded, the early warning module quickly issues an early warning message, notifying operation and maintenance personnel to take measures such as starting drainage pumps and strengthening security forces to ensure the safe and reliable operation of the urban central substation and guarantee the stability of the city's power supply.

[0046] Example 2 is an embodiment of the present invention, which provides a method for monitoring water immersion and geological displacement in substations based on space-ground coordination. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0047] (1) Water immersion monitoring data processing

[0048] During a monitoring session, the water level sensor in the substation basement collected data showing a water level of 22.5 cm, exceeding the set warning threshold of 20 cm. Upon receiving this data, the data processing and analysis module, based on a pre-set water immersion diffusion model and considering parameters such as the substation basement area of ​​1000㎡ and the drainage system's design flow rate of 50L / min, calculated the potential time for equipment damage due to a continued rise in water level.

[0049] Minutes passed. Simultaneously, based on the risk assessment model and considering historical flooding data and current meteorological conditions in the area, such as rainfall and drainage system load, the current flooding risk level was calculated to be high. The early warning module then issued warnings via SMS, email, and audible and visual alarms, reminding maintenance personnel to immediately take measures such as pumping water and protecting equipment to prevent equipment damage and ensure the normal operation of the substation.

[0050] (2) Geological displacement monitoring data processing

[0051] Taking the mountain surrounding a substation in a mountainous area as an example, the geological displacement sensor collected daily displacement data of 0.8mm, 1.2mm, 1.5mm, 2.0mm, 2.5mm, 3.0mm, and 3.5mm over seven consecutive days. The data processing and analysis module first filters this data to remove minor noise interference that may be caused by temperature changes, equipment vibration, etc. Then, using a geological displacement deformation model, combined with the physical and mechanical parameters of the mountain's soil and rock mass, such as an internal friction angle of 30°, cohesion of 10kPa, and soil and rock density of 20kN / m³, the data is analyzed. 3 The stability coefficient, calculated using the limit equilibrium analysis method, is 1.2. According to the established risk assessment criteria, a stability coefficient below 1.3 is considered to indicate a high risk of geological disasters. Therefore, the system determines the geological displacement risk level of the area to be high, and the early warning module promptly issues a warning, reminding maintenance personnel to take emergency measures such as mountain reinforcement and personnel evacuation to prevent serious damage to the substation from geological disasters and ensure the safety of personnel and equipment.

[0052] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0053] Example 3 is the third embodiment of the present invention, which differs from the previous two embodiments in that:

[0054] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0055] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0056] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0057] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0058] Example 4, an embodiment of the present invention, provides a substation water immersion and geological displacement monitoring system based on space-ground collaboration, including a satellite monitoring module, a ground monitoring module, a data transmission module, a data processing and analysis module, and an early warning module;

[0059] The satellite monitoring module provides macroscopic geological information support and eliminates monitoring blind spots;

[0060] The ground monitoring module collects microscopic data such as water immersion depth, geological displacement, video images, and meteorological parameters in real time.

[0061] The data transmission module adopts a hybrid networking architecture of wireless communication, wired transmission and satellite communication. It is responsible for encrypting and transmitting satellite and ground monitoring data to the data processing center and implementing data integrity verification.

[0062] The data processing and analysis module performs multi-source data fusion analysis, predicts the development trend of water accumulation through the water immersion diffusion model, assesses geological stability through the geological displacement deformation model, and generates a quantitative risk level based on the risk assessment model.

[0063] The early warning module is equipped with a multi-channel information push interface and an audible and visual alarm device. When the risk level exceeds the preset threshold, an early warning signal is automatically triggered.

[0064] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for monitoring water immersion and geological displacement in substations based on space-ground collaboration, characterized by: include, The satellite monitoring module acquires visible light satellite imagery and radar satellite imagery of the area surrounding the substation and preprocesses the data. The ground monitoring module collects substation water immersion data, geological displacement data, video images, and meteorological data in real time. The satellite data and ground monitoring data are encrypted and transmitted to the data processing center through the data transmission module. The received data is fused and analyzed using the data processing and analysis module. The development trend of potential hazards is predicted by the water immersion diffusion model and the geological displacement deformation model. The risk level is generated based on the risk assessment model. When the risk level exceeds the preset threshold, the early warning module is triggered to send early warning information through multiple channels.

2. The method for monitoring substation water immersion and geological displacement based on space-ground coordination as described in claim 1, characterized in that: The satellite monitoring module acquires high-resolution visible light satellite images and radar satellite images, covering a preset geographical area around the substation.

3. The method for monitoring substation water immersion and geological displacement based on space-ground coordination as described in claim 2, characterized in that: The ground monitoring module includes capacitive water immersion sensors deployed in areas prone to water accumulation, pressure sensors installed at key drainage nodes, displacement monitoring equipment installed at geological risk points, high-definition video surveillance devices covering the safety area of ​​the substation, and meteorological parameter acquisition equipment deployed in the substation.

4. The method for monitoring substation water immersion and geological displacement based on space-ground coordination as described in claim 3, characterized in that: The data transmission module adopts a hybrid networking method of wireless communication, wired transmission and satellite communication, and encrypts and verifies the transmitted data.

5. The substation water immersion and geological displacement monitoring method based on space-ground coordination as described in claim 4, characterized in that: The data processing and analysis module runs on a high-performance server and extracts feature information of water immersion depth, geological displacement and meteorological parameters through data mining and machine learning algorithms. A geological displacement and deformation model is constructed based on the friction angle, cohesion, and density parameters of the soil and rock mass. Based on the location, type, and meteorological conditions of the potential hazards, they are classified into four levels: low risk, medium risk, high risk, and extremely high risk.

6. The method for monitoring substation water immersion and geological displacement based on space-ground coordination as described in claim 5, characterized in that: The warning thresholds include water immersion depth > 20cm or geological displacement > 5mm; Early warning channels include SMS, email, and audible and visual alarms, with the sound intensity of the audible and visual alarms being ≥80dB and the illuminance being ≥100cd / ㎡.

7. The method for monitoring substation water immersion and geological displacement based on space-ground coordination as described in claim 6, characterized in that: The water immersion diffusion model calculates the equipment damage time based on the substation area and the design flow of the drainage system, while the geological displacement deformation model calculates the mountain stability coefficient using the limit equilibrium analysis method.

8. A system for monitoring substation water immersion and geological displacement based on space-ground coordination, employing the method for monitoring substation water immersion and geological displacement based on space-ground coordination as described in any one of claims 1 to 7, characterized in that, include: Satellite monitoring module, ground monitoring module, data transmission module, data processing and analysis module, and early warning module; The satellite monitoring module provides macroscopic geological information support and eliminates monitoring blind spots; The ground monitoring module collects microscopic data such as water immersion depth, geological displacement, video images, and meteorological parameters in real time. The data transmission module adopts a hybrid networking architecture of wireless communication, wired transmission and satellite communication. It is responsible for encrypting and transmitting satellite and ground monitoring data to the data processing center and performing data integrity verification. The data processing and analysis module performs multi-source data fusion analysis, predicts the development trend of water accumulation through a water immersion diffusion model, assesses geological stability through a geological displacement deformation model, and generates a quantitative risk level based on a risk assessment model. The early warning module is equipped with a multi-channel information push interface and an audible and visual alarm device, which automatically triggers an early warning signal when the risk level exceeds a preset threshold.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the substation water immersion and geological displacement monitoring method based on ground-space coordination as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the substation water immersion and geological displacement monitoring method based on ground-space coordination as described in any one of claims 1 to 7.

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