Intelligent high-voltage power distribution cabinet resistant to extreme climate

Abstract

The invention discloses an anti-extreme climate intelligent high-voltage power distribution cabinet, which belongs to the technical field of power supply systems, and comprises the steps of firstly collecting various extreme weather data and state information of the power distribution cabinet, then processing the data through a data analysis module to obtain a pre-protection grade of a power distribution cabinet protection device, and matching a proper protection action according to the grade. And then, the protection device linkage module triggers a protection device of the power distribution cabinet according to a preset protection action and carries out preloading. Meanwhile, the operation state of the power distribution cabinet is monitored in real time, the arrangement of the high-voltage power distribution cabinet is adjusted, and alarm prompt is provided. Therefore, the intelligent high-voltage power distribution cabinet can automatically adjust and start necessary protection measures under extreme weather conditions, stable operation and safety of equipment are ensured, external interference and fault risks are effectively reduced, and the anti-interference capability and emergency response capability of a power distribution system to extreme weather are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply systems, and in particular to an extreme climate-resistant intelligent high-voltage power distribution cabinet. Background Art

[0002] Extreme weather-resistant intelligent high-voltage distribution cabinet systems often face challenges in protecting power equipment in extreme weather conditions. This is particularly true in environments with strong winds, heavy rain, lightning, and high temperatures, which can threaten the reliability and stability of high-voltage distribution cabinets. To address these challenges, intelligent high-voltage distribution cabinet systems integrate a variety of advanced protection technologies. When extreme weather conditions occur, the monitoring system automatically seals the cabinets to protect the equipment inside from external environmental influences.

[0003] For example, the invention patent with publication number CN119298356A discloses a cloud-controlled intelligent adjustment system for high-voltage distribution cabinets, which specifically relates to the field of intelligent adjustment of high-voltage distribution cabinets, including a data batch division module, a high-voltage distribution cabinet data acquisition module, a high-voltage distribution cabinet data analysis module, a comprehensive data evaluation module, and a real-time early warning module; the data batch division module is used to determine the data to be collected as target data, and divide the target data into different batches according to equal time division; the high-voltage distribution cabinet data acquisition module includes an electrical operation data acquisition unit and an environmental status data acquisition unit; the high-voltage distribution cabinet data analysis module includes an electrical operation data analysis unit and an environmental status data analysis unit; the comprehensive data evaluation module includes a high-voltage distribution cabinet intelligent adjustment rationality analysis unit; the real-time early warning module is used to establish a preset value of the high-voltage distribution cabinet intelligent adjustment rationality index.

[0004] For example, the invention patent announcement with announcement number: CN118868424B discloses an intelligent integrated electromechanical interlocking system and a control method for a high-voltage distribution cabinet, which specifically relates to the field of electromechanical interlocking technology, including a data acquisition module, a data area division module, a data processing module, a data analysis module, a comprehensive analysis module, an abnormal state analysis module and a control module.

[0005] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0006] The active defense system of intelligent high-voltage distribution cabinets that are resistant to extreme climates has problems such as insufficient real-time performance, poor environmental adaptability, and delayed fault response. Its existing monitoring system may detect environmental changes but lack corresponding active physical protection measures, or the protection measures are single and cannot cope with the simultaneous occurrence of multiple extreme weather conditions. It is impossible to take measures against different climate threats and lacks a multi-dimensional protection linkage mechanism, resulting in a shortcoming in the active defense system of lacking adaptive protection execution after early warning. Summary of the Invention

[0007] In view of the deficiencies of the prior art, the present invention provides an intelligent high-voltage power distribution cabinet that is resistant to extreme climates, which solves the problems designed in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent high-voltage distribution cabinet resistant to extreme climates, including a data acquisition module for acquiring various extreme weather data and current status data of the intelligent high-voltage distribution cabinet.

[0009] The data analysis module is used to analyze the status data of the current intelligent high-voltage distribution cabinet and various extreme weather data to obtain the preventive protection level of the current intelligent high-voltage distribution cabinet protective device, and obtain the protective action of the intelligent high-voltage distribution cabinet according to the preventive protection level of the current intelligent high-voltage distribution cabinet protective device.

[0010] The protective device linkage module is used to dynamically trigger the protective device of the high-voltage distribution cabinet according to the protective action of the intelligent high-voltage distribution cabinet, and preload the protective device of the intelligent high-voltage distribution cabinet.

[0011] The intelligent high-voltage distribution cabinet status monitoring module is used to monitor and analyze the operating status of the high-voltage distribution cabinet, obtain the operating status compliance value of the high-voltage distribution cabinet, adjust the high-voltage distribution cabinet according to the operating status compliance value of the high-voltage distribution cabinet, and issue an alarm prompt.

[0012] Furthermore, the status data of the current intelligent high-voltage distribution cabinet and various extreme weather data are analyzed. The specific process is: extracting the status data of the current intelligent high-voltage distribution cabinet and various extreme weather data during the preset monitoring time period, including the temperature drop rate inside the intelligent high-voltage distribution cabinet, the relative humidity rise rate, the temperature difference between the inside and outside of the cabinet, the insulation resistance drop rate, the atmospheric electric field strength value and the atmospheric electric field strength definition change rate.

[0013] The temperature drop rate inside the intelligent high-voltage distribution cabinet during the preset monitoring time period is compared with the temperature drop rate limit value inside the cabinet, the relative humidity rise rate is compared with the relative humidity rise rate limit value, and the temperature difference between the inside and outside of the cabinet is compared with the temperature difference between the inside and outside of the cabinet stored in the database. An influencing correction factor is introduced to obtain the first trigger value of the protective device of the intelligent high-voltage distribution cabinet. The first trigger value of the protective device of the intelligent high-voltage distribution cabinet is used to evaluate the abnormal degree of environmental changes inside the cabinet.

[0014] By comparing the atmospheric electric field strength value of the area to which the intelligent high-voltage distribution cabinet belongs during the preset monitoring time period with the atmospheric electric field strength boundary value stored in the database, as well as the atmospheric electric field strength change rate during the preset time period with the atmospheric electric field strength boundary change rate stored in the database, the second trigger value of the protective device of the intelligent high-voltage distribution cabinet is obtained. The second trigger value of the protective device of the intelligent high-voltage distribution cabinet is used to evaluate the need to start preventive protection measures for lightning activities.

[0015] Furthermore, the preventive protection level of the current intelligent high-voltage distribution cabinet protective device is obtained, and the specific process is: according to the first trigger value of the protective device of the intelligent high-voltage distribution cabinet and the second trigger value of the protective device of the intelligent high-voltage distribution cabinet and introducing a weight factor to obtain the preventive protection metering value of the intelligent high-voltage distribution cabinet protective device, the preventive protection metering value of the intelligent high-voltage distribution cabinet protective device is used to indicate the degree of demand for starting the preventive protection measures of the protective device.

[0016] According to the preventive protection measurement value of the intelligent high-voltage distribution cabinet protective device and the preventive protection level of the protective device corresponding to each interval of the preventive protection measurement value of the intelligent high-voltage distribution cabinet protective device stored in the database, the preventive protection level of the current intelligent high-voltage distribution cabinet protective device is obtained.

[0017] Furthermore, the intelligent high-voltage distribution cabinet protection device includes a heat insulation layer, a waterproof layer, a lightning protection layer and an insulating layer.

[0018] The current intelligent high-voltage distribution cabinet protection device has three levels of preventive protection: level one, level two, and level three.

[0019] Furthermore, the protective action of the intelligent high-voltage distribution cabinet is obtained according to the preventive protection level matching of the current intelligent high-voltage distribution cabinet protective device. The specific process is: extracting the preventive protection level of the current intelligent high-voltage distribution cabinet protective device. If the preventive protection level of the current intelligent high-voltage distribution cabinet protective device is the first-level protection level, the protective action of the intelligent high-voltage distribution cabinet is closing the movable top cover of the intelligent high-voltage distribution cabinet and opening the insulation layer of the intelligent high-voltage distribution cabinet.

[0020] If the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet is the second-level protection level, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the thermal insulation layer and waterproof layer of the intelligent high-voltage distribution cabinet.

[0021] If the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet is level three, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the thermal insulation layer, waterproof layer, lightning protection layer and insulation layer of the intelligent high-voltage distribution cabinet.

[0022] Furthermore, the protective device of the intelligent high-voltage distribution cabinet is preloaded, and the specific process is as follows:

[0023] The second trigger value of the protective device of the intelligent high-voltage distribution cabinet is extracted and compared with the preheating trigger value of the protective facility stored in the database. If the second trigger value of the protective device of the intelligent high-voltage distribution cabinet is higher than or equal to the preheating trigger value of the protective facility, the compressed gas tank in the protective device of the intelligent high-voltage distribution cabinet is pre-pressurized and the electrochemical generator is started for preheating.

[0024] Furthermore, the operating status of the high-voltage distribution cabinet is monitored and analyzed, and the specific process is: obtaining the operating status data of the high-voltage distribution cabinet during a preset monitoring time period, including the pressure drop rate of the airbag device in the high-voltage distribution cabinet protective device, the insulating gas concentration drop rate, the oxygen concentration, and the impedance and leakage current of each key electrical facility of the high-voltage distribution cabinet.

[0025] The pressure drop rate of the airbag device is extracted and compared with the set pressure drop rate limit value, the insulating gas concentration drop rate is extracted and compared with the set insulating gas concentration drop rate limit value, and the oxygen concentration is extracted and compared with the set oxygen concentration limit value, and an influencing correction factor is introduced to obtain the operation compliance index of the airbag device. The operation compliance index of the airbag device is used to evaluate the stability of the airbag device.

[0026] The impedance of each key electrical facility of the high-voltage distribution cabinet is extracted and compared with the impedance reference value of each key electrical facility, as well as the leakage current of each key electrical facility and the leakage current limit value of each key electrical facility, and an impact correction factor is introduced to obtain the operation compliance index of each key electrical facility. The operation compliance index of each key electrical facility is used to evaluate the stability of the airbag device.

[0027] Furthermore, the operation status compliance value of the high-voltage distribution cabinet is obtained, and the specific process is: extracting the operation compliance index of the airbag device and the operation compliance index of each key electrical facility, and introducing a weight factor to obtain the operation status compliance value of the high-voltage distribution cabinet. The operation status compliance value of the high-voltage distribution cabinet is used to evaluate the overall operation stability of the high-voltage distribution cabinet.

[0028] Furthermore, the high-voltage distribution cabinet is adjusted according to the operating status compliance value of the high-voltage distribution cabinet. The specific process is: extract the operating status compliance value of the high-voltage distribution cabinet and compare it with the operating status compliance value threshold of the high-voltage distribution cabinet stored in the database. If the operating status compliance value of the high-voltage distribution cabinet is lower than the operating status compliance value threshold of the high-voltage distribution cabinet, the main circuit of the high-voltage distribution cabinet is switched to the backup circuit.

[0029] Furthermore, the specific process of the alarm prompt is as follows: if the main circuit of the high-voltage distribution cabinet is switched to the backup circuit, a fault alarm is received through the monitoring center, and a warning message pops up on the monitoring interface.

[0030] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0031] The present invention has the following beneficial effects:

[0032] (1) The present invention provides an intelligent high-voltage distribution cabinet that is resistant to extreme weather. First, it collects various types of extreme weather data and status information of the distribution cabinet, and then processes the data through a data analysis module to obtain the preventive protection level of the distribution cabinet protection device, and matches the appropriate protection action according to the level. Next, the protection device linkage module triggers the protection device of the distribution cabinet according to the preset protection action and preloads it. At the same time, it monitors the operating status of the distribution cabinet in real time, adjusts the settings of the high-voltage distribution cabinet, and provides alarm prompts. This enables the intelligent high-voltage distribution cabinet to automatically adjust and start necessary protection measures under extreme weather conditions, ensure the stable operation and safety of the equipment, effectively reduce external interference and failure risks, and enhance the anti-interference ability and emergency response capability of the distribution system to extreme weather.

[0033] (2) The present invention first obtains a first trigger value for the protective device so that appropriate protective measures can be initiated in a timely manner. In addition, a second trigger value for the protective device is obtained to evaluate the need to initiate preventive protective measures for lightning activity. Through real-time monitoring and dynamic adjustment, the present invention helps the intelligent high-voltage distribution cabinet accurately predict and respond to environmental changes under extreme climate conditions, helps ensure the safe operation of the equipment, and significantly improves the high-voltage distribution cabinet's ability to resist interference from lightning and climate change, helping to further prevent equipment failure or damage caused by environmental changes.

[0034] (3) The present invention first obtains the preventive protection measurement value of the protective device of the intelligent high-voltage distribution cabinet to help determine the preventive protection level of the protective device, and then matches the corresponding protective actions according to different preventive protection levels, which helps to ensure that the high-voltage distribution cabinet can intelligently and timely start the required protective measures under extreme climate conditions, effectively improves the adaptability of the high-voltage distribution cabinet to different climatic conditions, reduces the impact of environmental changes on equipment performance, and improves the anti-interference ability and reliability of the high-voltage distribution cabinet.

[0035] (4) The present invention starts pre-pressurization of the compressed gas tank and preheating of the electrochemical generator by comparing the second trigger value of the protection device, thereby providing an early protection response for the equipment. At the same time, the operating status data of the distribution cabinet is collected in real time, and the operating status compliance value of the high-voltage distribution cabinet is obtained. The circuit of the high-voltage distribution cabinet is automatically switched to ensure that the equipment can continue to operate in the event of a fault or abnormal state.

[0036] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the modules of the present invention;

[0038] Figure 2 It is a structural schematic diagram of the present invention;

[0039] Figure 3 A block diagram of the monitoring system of the present invention;

[0040] Figure 4 It is a cross-sectional structural diagram of the protective device of the present invention;

[0041] Figure 5 This is a block diagram of the convolutional neural network model of the artificial intelligence decision-making unit of the present invention;

[0042] Figure 6 This is a principle block diagram of the detection circuit of the monitoring system of the present invention;

[0043] Figure 7 Schematic diagram of the structure of the airbag device of the present invention;

[0044] Figure 8 Schematic diagram of the topological optimization design of the internal structure of the cabinet of the present invention.

[0045] In the figure: 1. Cabinet; 2. High-voltage power distribution components; 3. Monitoring system; 4. Protective device; 5. Backup power supply; 6. High-voltage power distribution components; 7. Movable top cover; 8. Airbag device; 9. Inflatable chamber; 31. Temperature and humidity sensor; 32. Wind speed sensor; 33. Atmospheric pressure sensor; 34. Ultraviolet radiation sensor; 35. Surge voltage sensor; 36. High-definition visible light camera; 37. Infrared thermal imager; 38. Image processing unit; 39. Artificial intelligence decision unit; 41. Insulation layer; 42. Waterproof layer; 43. Lightning protection layer; 44. Insulation layer; 51. Circuit; 52. Harmonic signal generator; 53. Coupling circuit; 54. Detection circuit; 55. Analog Fuzzy control unit, 57, generator; 58, predictive maintenance module; 71, parametric modeling; 72, multi-physics field coupling analysis; 73, evolutionary algorithm; 74, adaptive grid reconstruction; 75, additive manufacturing; 81, intelligent control unit; 82, pressure sensor; 83, rapid inflation system; 84, pressure reducing valve; 91, outer high-strength fiber layer; 92, middle cushioning airbag layer; 93, inner conductive layer; 801, temperature monitoring module; 802, cooling strategy optimization; 803, energy recovery control; 811, lightning warning module; 812, inflation control module; 813, state monitoring module; 831, compressed gas tank; 832, electrochemical gas generator. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0047] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0048] See also Figure 1 , an embodiment of the present invention provides a technical solution: an intelligent high-voltage distribution cabinet resistant to extreme weather, including a data acquisition module for acquiring various extreme weather data and current status data of the intelligent high-voltage distribution cabinet.

[0049] The data analysis module is used to analyze the status data of the current intelligent high-voltage distribution cabinet and various extreme weather data to obtain the preventive protection level of the current intelligent high-voltage distribution cabinet protective device, and obtain the protective action of the intelligent high-voltage distribution cabinet according to the preventive protection level of the current intelligent high-voltage distribution cabinet protective device.

[0050] The protective device linkage module is used to dynamically trigger the protective device of the high-voltage distribution cabinet according to the protective action of the intelligent high-voltage distribution cabinet, and preload the protective device of the intelligent high-voltage distribution cabinet.

[0051] The intelligent high-voltage distribution cabinet status monitoring module is used to monitor and analyze the operating status of the high-voltage distribution cabinet, obtain the operating status compliance value of the high-voltage distribution cabinet, adjust the high-voltage distribution cabinet according to the operating status compliance value of the high-voltage distribution cabinet, and issue an alarm prompt.

[0052] See also Figure 2The intelligent high-voltage power distribution cabinet, which is resistant to extreme weather conditions, includes a cabinet 1, high-voltage power distribution components 2, a monitoring system 3, a protective device 4, a backup power supply 5, and a backup high-voltage power distribution component 6. The cabinet 1 is made of a special composite material and is waterproof, lightning-proof, high-voltage-resistant, and corrosion-resistant. The monitoring system 3 is installed inside the cabinet 1 and includes environmental sensors, an image recognition system, and an artificial intelligence decision-making unit. It is used to monitor the internal and external environments in real time and control the protective device 4 to provide fully enclosed protection for the high-voltage power distribution components 2 when extreme weather conditions are detected. The high-voltage power distribution components 2 include traditional components such as circuit breakers, disconnectors, and mutual inductors, which are used to achieve the distribution and control of high-voltage power. The backup power supply 5 and the backup high-voltage power distribution components 6 are both installed inside the cabinet 1. When the monitoring system 3 detects damage to the high-voltage power distribution components 2, it can switch to backup mode and issue a fault alarm signal. In addition, the outer shell of the cabinet 1 is also provided with a movable top cover 7, which is made of a honeycomb-shaped flexible and foldable composite material and has the characteristics of being lightweight and high-strength. When extreme weather occurs, the movable top cover 7 can be closed and sealed under the control of the monitoring system 3, thereby providing dual protection for the internal protection device 4 and the high-voltage distribution components 2.

[0053] like Figure 3 As shown, Figure 3 The environmental sensors of the monitoring system block diagram of the present invention include an environmental sensor temperature and humidity sensor 31, a wind speed sensor 32, an atmospheric pressure sensor 33, an ultraviolet radiation sensor 34, a surge voltage sensor 35, a high-definition visible light camera 36, ​​an infrared thermal imager 37, an image processing unit 38, and an artificial intelligence decision-making unit 39, which are used to detect multiple key parameters of weather and equipment operating status.

[0054] like Figure 4As shown, the protective device 4 includes a thermal insulation layer 41, a waterproof layer 42, a lightning protection layer 43 and an insulating layer 44. Under the control of the monitoring system 3, these protective layers can be flexibly assembled and automatically covered on the outside of the high-voltage distribution components 2 to provide comprehensive protection for the latter. The thermal insulation layer 41 is made of materials such as high-temperature resistant ceramic fiber felt or hollow ceramic balls, and has excellent thermal insulation and insulating properties, which can prevent the high-voltage distribution components 2 from being damaged by overheating due to heat radiation. The waterproof layer 42 can be made of polyurethane foam material or proton exchange membrane material, which has both waterproof and breathable functions, preventing moisture from penetrating while allowing water vapor to be discharged. The lightning protection layer 43 is made of conductive materials such as steel plates or aluminum foil, which can effectively protect internal components from the influence of lightning electromagnetic pulses. The insulating layer 44 is made of a high-resistivity polymer material with excellent insulation properties, which can prevent external electric fields from interfering with internal components. These protective layers are manufactured using high-performance materials and advanced processes. The thermal insulation layer 41 utilizes nano-aerogel material, which offers ultra-low thermal conductivity. The waterproof layer 42 utilizes super-hydrophobic nano-coating technology for self-cleaning. The lightning protection layer 43 utilizes graphene composite materials, providing excellent electromagnetic shielding performance. The insulating layer 44 utilizes nano-composite ceramic material, which offers extremely high breakdown strength. This multi-layered composite structure ensures the protective device's superior performance in a variety of extreme weather conditions.

[0055] It should be noted that the intelligent high-voltage distribution cabinet also includes an image recognition system and an artificial intelligence decision-making unit, which monitor the internal and external environments in real time and, when extreme weather conditions are detected, activate protective devices to provide fully enclosed protection for high-voltage distribution components. This system enables timely detection of extreme weather events such as heavy rain, snow, and lightning strikes. The image processing unit utilizes advanced computer vision algorithms, such as convolutional neural networks (CNNs) and region proposal networks (R-CNNs), to process and analyze captured visible and infrared images in real time. It can quickly identify weather features such as raindrops, snowflakes, and lightning in the images and transmit the analysis results to the artificial intelligence decision-making unit. The artificial intelligence decision-making unit is the core of the entire monitoring system. It utilizes an innovative multimodal deep learning model to integrate data from multiple sources, including environmental sensors, image recognition systems, and power parameters. Through parallel temporal and spatial analysis networks, the unit accurately identifies various extreme weather conditions, predicts equipment failure risks, and recommends optimal protection strategies.

[0056] It should be noted that Figure 5This is a block diagram of the convolutional neural network model of the artificial intelligence decision-making unit of the present invention. The artificial intelligence decision-making unit utilizes an innovative multimodal deep learning model, comprising a multi-source data input layer, a feature extraction module, a multimodal fusion layer, a parallel temporal and spatial analysis network, a decision fusion layer, and an output layer. The multi-source data input layer simultaneously receives environmental sensor data, image recognition system data, and power parameters. The feature extraction module incorporates specialized processing units for different types of input data. For image data, a convolutional neural network (CNN) is used: multiple convolutional layers with different convolution kernels perform convolution operations on the input image to extract image features. The subsequent pooling layer performs dimensionality reduction on the extracted feature data to reduce the data volume. For environmental data and power parameters, feature extraction is performed using a multilayer perceptron and a specialized time series analysis network. The multimodal fusion layer utilizes an innovative attention mechanism to intelligently integrate features from different sources, dynamically adjusting the emphasis placed on different information sources. The parallel temporal and spatial analysis networks include a long short-term memory network (LSTM) and a convolutional neural network (CNN). LSTM is specifically designed to analyze time series data, capturing long-term dependencies and accurately predicting future trends. This not only allows for analyzing time series data of extreme weather events, but also for predicting future trends, enabling proactive protection decisions. CNN further processes spatial features to effectively identify extreme weather phenomena. The decision fusion layer integrates the outputs of the LSTM and CNN, making the final decision through a deep, fully connected network. This layer multiplies and sums the reduced feature data with a weight matrix, comprehensively considering information from both temporal and spatial dimensions. Finally, the output layer classifies the results using an activation function, generating specific protection strategies and fault warning information. Based on the model's output, the AI ​​decision-making unit controls the protective devices to take appropriate protective actions. The protection level is determined by the identified extreme weather type and intensity, the predicted fault risk, and the current equipment and grid status, enabling more comprehensive and accurate intelligent protection. This innovative multimodal, multi-task deep learning architecture significantly improves the model's adaptability and decision-making accuracy, enabling intelligent high-voltage distribution cabinets to more comprehensively and accurately respond to various complex situations, significantly enhancing equipment reliability and safety under extreme conditions.

[0057] Specifically, the status data of the current intelligent high-voltage distribution cabinet and various extreme weather data are analyzed. The specific process is: extract the status data of the current intelligent high-voltage distribution cabinet and various extreme weather data during the preset monitoring time period, including the temperature drop rate inside the intelligent high-voltage distribution cabinet, the relative humidity rise rate, the temperature difference between the inside and outside of the cabinet, the insulation resistance drop rate, the atmospheric electric field strength value and the atmospheric electric field strength definition change rate.

[0058] It should be noted that the temperature drop rate inside the intelligent high-voltage distribution cabinet is the rate at which the temperature inside the distribution cabinet decreases during the preset monitoring period; the relative humidity rise rate refers to the increase in the air humidity inside the intelligent high-voltage distribution cabinet during the preset monitoring period; the temperature difference between the inside and outside of the cabinet represents the temperature difference between the inside of the high-voltage distribution cabinet and the external environment of the area to which the high-voltage distribution cabinet belongs; the insulation resistance drop rate is the degree of decrease in the resistance value of the insulation material of the distribution cabinet during the preset monitoring period; the atmospheric electric field strength value refers to the ambient electric field strength of the area to which the high-voltage distribution cabinet belongs; and the atmospheric electric field strength change rate represents the rate of change of the atmospheric electric field in the area to which the high-voltage distribution cabinet belongs during the preset monitoring period. The temperature drop rate inside the cabinet is measured by a temperature sensor installed inside the distribution cabinet. During the preset monitoring period, the system records the initial temperature and the final temperature of the monitoring period, and calculates the absolute value of the initial temperature of the monitoring period minus the final temperature of the monitoring period, divided by the duration of the monitoring period. Similarly, the relative humidity rise rate is obtained by the humidity sensor inside the cabinet, which records the change in the air humidity inside the cabinet during the preset monitoring time period; the temperature difference between the inside and outside of the cabinet is measured simultaneously by temperature sensors installed inside and outside the cabinet, and the temperature inside and outside the cabinet is recorded at the same time and the difference is processed to obtain the temperature difference between the inside and outside of the cabinet; the atmospheric electric field strength value is measured by the atmospheric electric field sensor installed in the area to which the high-voltage distribution cabinet belongs, and the sensor will regularly collect the electric field strength in the area; the insulation resistance drop rate is measured by the insulation resistance, and the resistance value of the insulating material is regularly measured during the preset monitoring time period, and the drop ratio during the preset monitoring time period is calculated, specifically, the initial insulation resistance minus the final insulation resistance divided by the initial insulation resistance multiplied by the length of the monitoring time period; the atmospheric electric field strength change rate is obtained by the electric field strength value collected by the atmospheric electric field sensor during the preset monitoring time period, specifically, the final electric field strength of the preset monitoring time period minus the initial electric field strength of the preset monitoring time period divided by the length of the monitoring time period.

[0059] The temperature drop rate inside the intelligent high-voltage distribution cabinet during the preset monitoring time period is compared with the temperature drop rate limit value inside the cabinet, the relative humidity rise rate is compared with the relative humidity rise rate limit value, and the temperature difference between the inside and outside of the cabinet is compared with the temperature difference between the inside and outside of the cabinet stored in the database. An influencing correction factor is introduced to obtain the first trigger value of the protective device of the intelligent high-voltage distribution cabinet. The first trigger value of the protective device of the intelligent high-voltage distribution cabinet is used to evaluate the abnormal degree of environmental changes inside the cabinet.

[0060] It should be noted that the first trigger value of the protection device of the intelligent high-voltage distribution cabinet is analyzed under the following specific conditions:

[0061] ;

[0062] Where, Indicates the first trigger value of the protection device of the intelligent high-voltage distribution cabinet. Indicates the temperature drop rate inside the intelligent high-voltage distribution cabinet. is the relative humidity rising rate, Indicates the temperature difference between inside and outside the cabinet. Indicates the limit value of the temperature drop rate inside the cabinet. Indicates the relative humidity rising rate limit value, Indicates the limit value of the temperature difference between the inside and outside of the cabinet. Indicates the correction factor corresponding to the set cabinet temperature drop rate, Indicates the correction factor corresponding to the set relative humidity rise rate, Indicates the correction factor corresponding to the set temperature difference between the inside and outside of the cabinet.

[0063] In a specific embodiment, there is a close correlation between the three parameters: the rate of temperature drop inside the cabinet, the rate of relative humidity rise, and the temperature difference between the inside and outside of the cabinet. First, the rate of temperature drop inside the cabinet reflects the severity of the cooling of the internal environment of the distribution cabinet. The rate of relative humidity rise is driven by the rate of temperature drop. When the temperature drops too quickly, the saturated water vapor content of the air decreases, and the relative humidity rises rapidly, increasing the risk of condensation. At the same time, the temperature difference between the inside and outside of the cabinet further exacerbates this process. If the temperature difference is large, external moisture is more likely to invade the cabinet, accelerating the accumulation of humidity inside the cabinet, making electrical components such as insulators and busbars face the risk of condensation. However, when the external environment changes suddenly, such as a strong drop in temperature or a surge in humidity, the linked changes in the rate of temperature drop inside the cabinet and the rate of relative humidity rise will exceed the set threshold. In addition, the nonlinear expansion of the temperature difference between the inside and outside of the cabinet will cause the three factors to work together to cause a jump in the first trigger value, thereby triggering the activation of the protective device.

[0064] In a specific embodiment, the correction factors corresponding to the cabinet temperature drop rate, the relative humidity rise rate, and the temperature difference between the inside and outside of the cabinet typically range from 0 to 1. The correction factors corresponding to the cabinet temperature drop rate are determined using a pre-set mapping table. For example, by establishing a mapping relationship between the cabinet temperature drop rate and the correction factors, and inputting the real-time detected cabinet temperature drop rate into the mapping table, the corresponding correction factors can be quickly obtained. When the cabinet temperature drop rate is too rapid, the correction factor is increased to reflect possible cold air infiltration or abnormal heat dissipation. The temperature monitoring data is then appropriately adjusted to reduce the impact of environmental disturbances on the triggering mechanism of the protective device. The correction factor corresponding to the relative humidity rise rate can also be determined in a similar manner. By analyzing the humidity variation characteristics of the high-voltage distribution cabinet under different environmental conditions, a mapping table is established between the relative humidity rise rate and the correction factors. Once the real-time detected relative humidity rise rate is entered into the mapping table, the system can locate the corresponding correction factor and use it to correct the humidity data, thereby reducing humidity deviations caused by environmental changes or sensor errors and ensuring the stability of the humidity monitoring data. Furthermore, the correction factor corresponding to the internal / external temperature difference can also be determined by establishing a mapping relationship. Based on the impact of different internal / external temperature differences on system operation, a mapping table is constructed between the internal / external temperature difference and the correction factor. When the real-time internal / external temperature difference is input into this mapping table, the corresponding correction factor is quickly derived. This correction factor helps optimize temperature difference data, avoids misjudgments caused by drastic external temperature fluctuations, and ensures that the power distribution cabinet protection system accurately triggers protective measures under reasonable environmental conditions.

[0065] By comparing the atmospheric electric field strength value of the area to which the intelligent high-voltage distribution cabinet belongs during the preset monitoring time period with the atmospheric electric field strength boundary value stored in the database, as well as the atmospheric electric field strength change rate during the preset time period with the atmospheric electric field strength boundary change rate stored in the database, the second trigger value of the protective device of the intelligent high-voltage distribution cabinet is obtained. The second trigger value of the protective device of the intelligent high-voltage distribution cabinet is used to evaluate the need to start preventive protection measures for lightning activities.

[0066] It should be noted that the specific analysis conditions for the second trigger value of the protection device of the intelligent high-voltage distribution cabinet are as follows:

[0067] ;

[0068] Where, Indicates the second trigger value of the protection device of the intelligent high-voltage distribution cabinet. Indicates the atmospheric electric field strength value of the area to which the intelligent high-voltage distribution cabinet belongs. represents the rate of change of atmospheric electric field intensity, Indicates the limit value of atmospheric electric field strength, represents the rate of change of atmospheric electric field intensity, Indicates the correction factor corresponding to the set atmospheric electric field strength value, Indicates the correction factor corresponding to the set rate of change of atmospheric electric field intensity.

[0069] In a specific embodiment, there is a close correlation between the two parameters, the atmospheric electric field strength value and the atmospheric electric field strength change rate, and they jointly affect the second trigger value of the intelligent high-voltage distribution cabinet protection device. First, the atmospheric electric field strength value reflects the accumulation of the electric field in the current environment. When it reaches a certain threshold, it indicates that the possibility of lightning activity has increased, and the degree of accumulation of electric field energy determines the intensity of the external electric stress to which the high-voltage distribution cabinet is subjected. Secondly, the atmospheric electric field strength change rate represents the degree of dynamic change of the electric field, and its rapid increase usually means a precursor to lightning discharge or strong electromagnetic interference. When thunderstorm activity intensifies, the continuous rise in the atmospheric electric field strength value combined with the drastic fluctuations in the electric field strength change rate may cause the two to reinforce each other, forming a high-risk electromagnetic environment, thereby pushing the second trigger value to rise rapidly, and ultimately triggering protective measures such as compressed gas tank pre-pressurization and electrochemical generator preheating to ensure that the distribution cabinet enters the best protection state before a lightning strike occurs.

[0070] In a specific embodiment, the correction factor corresponding to the atmospheric electric field strength value and the correction factor corresponding to the atmospheric electric field strength change rate typically range from 0 to 1. The correction factor corresponding to the atmospheric electric field strength value is determined using a pre-set mapping table. For example, by establishing a mapping relationship between the atmospheric electric field strength value and the correction factor, the real-time detected atmospheric electric field strength value can be input into the mapping table to quickly obtain the corresponding correction factor. When the electric field strength is higher, the correction factor is increased accordingly to reflect the higher risk of lightning activity and optimize the sensitivity of triggering protective measures to ensure the safety of the high-voltage distribution cabinet. Similarly, the correction factor corresponding to the atmospheric electric field strength change rate can be determined in a similar manner. By analyzing the electric field variation trends under different weather conditions, a mapping table is established between the atmospheric electric field strength change rate and the correction factor. The real-time detected electric field strength change rate is input into the mapping table and used to dynamically adjust the response mechanism of the protective device. The introduction of the correction factor can effectively reduce the impact of environmental fluctuations on the false triggering of the protection system, improving the accuracy and stability of the protection strategy.

[0071] Specifically, the preventive protection level of the current intelligent high-voltage distribution cabinet protection device is obtained. The specific process is: according to the first trigger value of the protection device of the intelligent high-voltage distribution cabinet and the second trigger value of the protection device of the intelligent high-voltage distribution cabinet and introducing a weight factor to obtain the preventive protection metering value of the intelligent high-voltage distribution cabinet protection device, the preventive protection metering value of the intelligent high-voltage distribution cabinet protection device is used to indicate the degree of demand for starting the preventive protection measures of the protection device.

[0072] It should be noted that the specific analysis conditions for the preventive protection measurement values ​​of the intelligent high-voltage distribution cabinet protection device are as follows:

[0073] ;

[0074] It should be noted that Indicates the preventive protection measurement value of the intelligent high-voltage distribution cabinet protection device. Indicates the first trigger value of the protection device of the intelligent high-voltage distribution cabinet. Indicates the second trigger value of the protection device of the intelligent high-voltage distribution cabinet. Indicates the second limit trigger value of the protection device of the preset intelligent high-voltage distribution cabinet, Indicates the weight factor corresponding to the first trigger value of the set protection device, Indicates the weight factor corresponding to the set second trigger value of the protection device.

[0075] It should be noted that the weight factor corresponding to the first trigger value of the protective device is determined by a preset mapping relationship. For example, the first trigger value of the protective device and the preset weight factor stored in the database form a mapping set. By inputting the first trigger value of the protective device in each monitoring time period monitored in real time into the mapping set, the weight factor corresponding to the corresponding first trigger value can be obtained through the mapping relationship with the preset weight factor, thereby helping to optimize the response speed and accuracy of the protective device. Similarly, the weight factor corresponding to the second trigger value of the protective device is also determined by a preset mapping relationship. For example, the second trigger value of the protective device and the weight factor stored in the database form a mapping set. By inputting the second trigger value of the protective device in each monitoring time period obtained in real time into the mapping set, the weight factor corresponding to the corresponding second trigger value can be obtained through the mapping relationship with the preset weight factor, thereby providing a more accurate basis for subsequent abnormality detection and protection mechanisms.

[0076] According to the preventive protection measurement value of the intelligent high-voltage distribution cabinet protective device and the preventive protection level of the protective device corresponding to each interval of the preventive protection measurement value of the intelligent high-voltage distribution cabinet protective device stored in the database, the preventive protection level of the current intelligent high-voltage distribution cabinet protective device is obtained.

[0077] Specifically, the intelligent high-voltage distribution cabinet protection device includes a heat insulation layer, a waterproof layer, a lightning protection layer and an insulation layer.

[0078] The current intelligent high-voltage distribution cabinet protection device has three levels of preventive protection: level one, level two, and level three.

[0079] It should be noted that the specific process for matching the protection level of high-voltage distribution cabinet protective devices to different extreme weather conditions involves obtaining the appropriate level of protection for each type of extreme weather. For example, when the protection level of the high-voltage distribution cabinet protective device is level 1, only the movable top cover needs to be activated. (The movable top cover is made of a flexible, foldable honeycomb composite material. In extreme weather, it can be closed and sealed under the control of the monitoring system, providing dual protection for the internal protective devices and high-voltage distribution components.) When the protection level of the high-voltage distribution cabinet protective device is level 2, only the waterproof layer needs to be activated. When the protection level of the high-voltage distribution cabinet protective device is level 3, the lightning protection layer, waterproof layer, and insulation layer need to be activated simultaneously. These protective layers are manufactured using high-performance materials and advanced processes. The insulation layer uses nano-aerogel material with ultra-low thermal conductivity; the waterproof layer uses super-hydrophobic nano-coating technology to achieve self-cleaning function; the lightning protection layer uses graphene composite material to provide excellent electromagnetic shielding performance; and the insulation layer uses nano-composite ceramic material with extremely high breakdown strength. This multi-layer composite structure design ensures excellent performance of the protective device in various extreme weather conditions.

[0080] Specifically, the protective action of the intelligent high-voltage distribution cabinet is obtained according to the preventive protection level of the current intelligent high-voltage distribution cabinet protective device. The specific process is: extract the preventive protection level of the current intelligent high-voltage distribution cabinet protective device. If the preventive protection level of the current intelligent high-voltage distribution cabinet protective device is the first-level protection level, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the insulation layer of the intelligent high-voltage distribution cabinet.

[0081] If the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet is the second-level protection level, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the thermal insulation layer and waterproof layer of the intelligent high-voltage distribution cabinet.

[0082] If the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet is level three, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the thermal insulation layer, waterproof layer, lightning protection layer and insulation layer of the intelligent high-voltage distribution cabinet.

[0083] Specifically, the protective device of the intelligent high-voltage distribution cabinet is preloaded. The specific process is: extract the second trigger value of the protective device of the intelligent high-voltage distribution cabinet, and compare it with the preheating trigger value of the protective facility stored in the database. If the second trigger value of the protective device of the intelligent high-voltage distribution cabinet is higher than or equal to the preheating trigger value of the protective facility, the compressed gas tank in the protective device of the intelligent high-voltage distribution cabinet is pre-pressurized, and the electrochemical generator is started for preheating.

[0084] It should be noted that pre-pressurizing the compressed gas tank in the protective device of the intelligent high-voltage distribution cabinet specifically means pre-pressurizing the compressed gas tank in the protective device of the intelligent high-voltage distribution cabinet to a preset multiple. By pre-pressurizing the compressed gas tank and starting the electrochemical generator for preheating, the distribution cabinet can be provided with rapid airbag expansion, which helps to quickly form an electromagnetic shield when lightning strikes or electromagnetic interference occurs, reducing the impact of lightning shocks or voltage fluctuations on the internal components of the distribution cabinet.

[0085] Specifically, the operating status of the high-voltage distribution cabinet is monitored and analyzed. The specific process is: obtaining the operating status data of the high-voltage distribution cabinet during a preset monitoring time period, including the pressure drop rate of the airbag device in the high-voltage distribution cabinet protective device, the insulating gas concentration drop rate, the oxygen concentration, and the impedance and leakage current of each key electrical facility of the high-voltage distribution cabinet.

[0086] It should be noted that if Figure 6 The following figure shows a block diagram of the monitoring system's detection circuitry. Monitoring system 3 also includes a detection circuit 51. After extreme weather conditions subside, this circuit performs a comprehensive scan and detection of the operating status of the high-voltage distribution component 2 by injecting harmonic signals. Specifically, detection circuit 51 comprises a harmonic signal generator 52, a coupling circuit 53, and a detection circuit 54. Under the control of monitoring system 3, harmonic signal generator 52 injects a harmonic signal of a certain frequency and amplitude into the high-voltage distribution component 2. The coupling circuit 53 collects the response signal from the output terminal. The detection circuit 54 performs demodulation and filtering on the response signal. Furthermore, a fuzzy control unit 55 employs an adaptive neural-fuzzy inference system (ANFIS) to identify fault patterns based on the response signal characteristics and real-time monitoring data. An intelligent analysis module 56 utilizes machine learning algorithms, such as support vector machines (SVMs) and random forests, to conduct in-depth analysis of fault data. A maintenance recommendation generator 57, based on expert system technology, provides targeted maintenance recommendations based on the fault diagnosis results. The predictive maintenance module 58 uses time series analysis and deep learning technology, combined with a historical fault database, to predict future equipment failure risks and achieve proactive maintenance.

[0087] It should be noted that the pressure drop rate of the airbag device in the high-voltage distribution cabinet protective device refers to the rate of decrease of the internal pressure of the airbag within a preset monitoring time period, which is measured in real time by a pressure sensor installed inside the airbag. Specifically, it is the pressure at the initial moment of the monitoring time period minus the pressure at the final moment of the monitoring time period divided by the length of the monitoring time period. Similarly, the insulating gas concentration drop rate indicates the amount of decrease in the concentration of the insulating gas inside the protective device during the monitoring time period; the impedance of each key electrical facility of the high-voltage distribution cabinet refers to the degree of current restriction on the current by the conductors and electrical components inside the distribution cabinet when the current passes through; the leakage current of each key electrical facility of the high-voltage distribution cabinet refers to the tiny current flowing through the insulation layer or casing when the electrical facility is operating normally or the insulation performance is degraded. This parameter is measured by a leakage current sensor.

[0088] Extracting and comparing the pressure drop rate of the airbag device with a set pressure drop rate limit value, the insulating gas concentration drop rate with a set insulating gas concentration drop rate limit value, and the oxygen concentration with a set oxygen concentration limit value, and introducing an influence correction factor to obtain an operation compliance index of the airbag device, wherein the operation compliance index of the airbag device is used to evaluate the stability of the airbag device;

[0089] It should be noted that the airbag device's operation compliance index is analyzed under the following specific conditions:

[0090]

[0091] Where, Indicates the airbag device's operational compliance index. Indicates the pressure drop rate of the airbag device, represents the rate of decrease of insulating gas concentration, Indicates the oxygen concentration, Indicates the limiting value of the insulating gas concentration decrease rate, Indicates the limiting value of the insulating gas concentration decrease rate, Indicates the oxygen concentration limit value, Indicates the correction factor corresponding to the set pressure drop rate, Indicates the correction factor corresponding to the set insulating gas concentration decrease rate, Indicates the correction factor corresponding to the set oxygen concentration.

[0092] In one specific embodiment, the airbag device's pressure drop rate, insulating gas concentration drop rate, and oxygen concentration are closely correlated and collectively influence the airbag device's operational compliance index. First, the pressure drop rate, as a measure of pressure changes within the airbag, directly affects the airbag device's responsiveness. As the pressure drop rate increases, pressure changes within the airbag become more dramatic, resulting in instability in the airbag's response and a weakening of its buffering capacity. Second, the insulating gas concentration drop rate directly exacerbates variations in the pressure drop rate. Especially when the device encounters external disturbances, the rapid drop in gas concentration can degrade airbag performance, making the pressure drop more significant. Furthermore, a decrease in oxygen concentration further exacerbates pressure and gas concentration instabilities. When the device experiences abnormal vibration or external disturbances, the instantaneous drop in airbag pressure and the sudden increase in gas concentration can disrupt the original equilibrium, leading to a cumulative increase in the pressure drop rate and gas concentration change rate, creating a mutually reinforcing negative feedback loop that can cause the operational compliance index to rise sharply, triggering an automatic response from the protection system.

[0093] In a specific embodiment, the correction factors corresponding to the pressure drop rate, the insulating gas concentration drop rate, and the oxygen concentration typically range from 0 to 1. The correction factors corresponding to the pressure drop rate are determined using a pre-set mapping relationship. For example, by establishing a mapping relationship between the pressure drop rate and the correction factors, the real-time detected pressure drop rate can be input into the mapping table to quickly obtain the corresponding correction factors. This correction factor helps adjust the device's pressure monitoring data, reducing pressure fluctuation errors caused by abnormal device operation or changes in the external environment, and optimizing the accuracy and reliability of the monitoring results. Similarly, the correction factor corresponding to the insulating gas concentration drop rate can be determined in a similar manner. By analyzing the changes in insulating gas concentration under different environmental conditions, a mapping table is established between the insulating gas concentration drop rate and the correction factors. Once the real-time detected insulating gas concentration drop rate is entered into the mapping table, the system can find the corresponding correction factor and use it to correct the gas concentration data, thereby reducing errors caused by environmental changes or device aging and ensuring the reliability of the monitoring data. Furthermore, the correction factor corresponding to the oxygen concentration can also be determined by establishing a mapping relationship. Based on the impact of different oxygen concentrations on the device's operating status, a mapping table is established between oxygen concentration and correction factors. When the real-time monitored oxygen concentration is input into the mapping table, the system can quickly obtain the corresponding correction factor to ensure the accuracy of the data, help adjust the equipment status, and avoid operational abnormalities caused by excessively high or low oxygen concentrations.

[0094] like Figure 7 As shown, Figure 7This is a schematic diagram of the airbag assembly. The multi-layered inflation chamber 9, including the airbag assembly 8, utilizes an innovative three-layer design: an outer high-strength fiber layer 91 made of aramid fiber, providing exceptional impact resistance; a middle cushioning airbag layer 92, constructed from a controllably deformable aerogel material, effectively absorbs shock waves generated by lightning strikes; and an inner conductive layer 93, comprised of a metal nanowire network, ensures uniform distribution of lightning current. To enhance the overall structural strength and reduce weight of the cabinet 1, the internal structure of the cabinet 1 has undergone topological optimization. The intelligent control unit 81 comprises a lightning warning module 811, an inflation control module 812, and a status monitoring module 813. The lightning warning module 811 utilizes advanced atmospheric electric field sensing technology to predict lightning strikes several to tens of seconds in advance. Based on the warning information, the inflation control module 812 precisely controls the activation sequence of the rapid inflation system 83, which includes a compressed gas tank 831 and an electrochemical gas generator 832. The state monitoring module 813 monitors the airbag's inflation status and pressure distribution in real time to ensure effective protection. The airbag assembly 8 also includes a pressure sensor 82 and a pressure relief valve 84.

[0095] like Figure 8 As shown, Figure 8 Schematic diagram of the topological optimization design of the internal structure of the cabinet of the present invention, including parametric modeling 71, multi-physics field coupling analysis 72, evolutionary algorithm 73, adaptive grid reconstruction 74, and additive manufacturing 75.

[0096] The impedance of each key electrical facility of the high-voltage distribution cabinet is extracted and compared with the impedance reference value of each key electrical facility, as well as the leakage current of each key electrical facility and the leakage current limit value of each key electrical facility, and an impact correction factor is introduced to obtain the operation compliance index of each key electrical facility. The operation compliance index of each key electrical facility is used to evaluate the stability of the airbag device.

[0097] It should be noted that the operation compliance index of each key electrical facility is based on the following specific analysis conditions:

[0098] ;

[0099] represents the operational compliance index of the jth key electrical facility, represents the impedance of the jth key electrical facility of the high-voltage distribution cabinet, represents the leakage current of the jth key electrical facility of the high-voltage distribution cabinet, represents the impedance reference value of the jth key electrical facility, Indicates the leakage current limit value of the jth critical electrical facility, Indicates the correction factor corresponding to the impedance of the set electrical facilities, Indicates the correction factor corresponding to the leakage current of the set electrical facilities, and j indicates the number of each key electrical facility , n represents the total number of key electrical facilities.

[0100] In one specific embodiment, the impedance and leakage current of each critical electrical device are closely correlated, and together they influence the operational compliance index of each critical electrical device. When the device experiences abnormal vibration, external interference, or aging, a sudden increase in leakage current can cause a change in impedance. The interaction between the two can lead to an unsteady expansion of the current fluctuation range, ultimately causing instability in the device's operating state. This mutually reinforcing negative feedback loop can trigger the device's protection mechanisms or early warning systems, thereby ensuring device safety.

[0101] In a specific embodiment, the correction factor corresponding to the impedance of the electrical facility and the correction factor corresponding to the leakage current of the electrical facility generally range from 0 to 1. The correction factor corresponding to the impedance of the electrical facility is determined by a pre-set mapping relationship. For example, by constructing a mapping relationship between the impedance of the electrical facility and the correction factor, the impedance value of each electrical facility detected in real time can be input into the mapping table to quickly obtain the corresponding correction factor. When the impedance increases, it may indicate that the equipment is aging or faulty, and the correction factor will increase accordingly to adjust the sensitivity of the equipment operation, thereby optimizing the accuracy and reliability of the monitoring results. Similarly, the correction factor corresponding to the leakage current of the electrical facility can also be determined in a similar manner. By establishing a mapping table between leakage current and correction factor. After the leakage current value of the electrical facility detected in real time is input into the mapping table, the correction factor corresponding to the leakage current of the electrical facility can be found.

[0102] It should be noted that damage or leakage from the airbag can cause a decrease in the concentration of insulating gas (such as SF6), distorting the electric field distribution within the cabinet, inducing partial discharge or even arcing, and triggering a chain reaction, such as reduced insulation performance. Therefore, switching to a backup circuit can reduce the voltage stress of the main circuit, avoid arc reignition, and prevent further failures. A sudden increase in O2 concentration may be due to external air infiltration, indicating a seal failure.

[0103] It should be noted that the key electrical facilities of the high-voltage distribution cabinet include busbars, circuit breakers, insulators, etc.

[0104] Specifically, the operating status compliance value of the high-voltage distribution cabinet is obtained. The specific process is: extracting the operating compliance index of the airbag device and the operating compliance index of each key electrical facility, and introducing a weight factor to obtain the operating status compliance value of the high-voltage distribution cabinet. The operating status compliance value of the high-voltage distribution cabinet is used to evaluate the overall operating stability of the high-voltage distribution cabinet.

[0105] It should be noted that the operating status of the high-voltage distribution cabinet meets the value, and the specific analysis conditions are:

[0106] ;

[0107] Indicates that the operating status of the high-voltage distribution cabinet meets the value. Indicates the airbag device's operational compliance index. represents the operational compliance index of the jth key electrical facility, Indicates the weight factor corresponding to the set operating status of the high-voltage distribution cabinet. Indicates the weight factor corresponding to the set airbag device operation compliance index, and j represents the number of each key electrical facility , n represents the total number of key electrical facilities.

[0108] It should be noted that the weighting factors corresponding to the operating status compliance values ​​of the high-voltage distribution cabinet are determined through a preset mapping relationship. For example, the operating status compliance values ​​of the high-voltage distribution cabinet and the weighting factors stored in the database form a mapping set. By inputting the operating status compliance values ​​for each monitoring time period, which are monitored in real time, into this mapping set, and mapping them with the weighting factors, the corresponding weighting factors can be obtained. This helps optimize the fault detection and response mechanism of the high-voltage distribution cabinet, improving the reliability and accuracy of the system. Similarly, the weighting factors corresponding to the operating compliance index of the airbag device are also determined through a preset mapping relationship. For example, the operating compliance index of the airbag device and the weighting factors stored in the database form a mapping set. By inputting the operating compliance index of the airbag device for each monitoring time period, which is monitored in real time, into this mapping set, and mapping them with the preset weighting factors, the corresponding weighting factors can be obtained, providing a more accurate basis for subsequent airbag device performance evaluation and protective measures. In this way, the introduction of the weighting factors of the two parameters helps improve the system's detection accuracy and response speed to potential faults, ensuring that appropriate protective measures can be taken promptly when the equipment is in an abnormal state.

[0109] Specifically, the high-voltage distribution cabinet is adjusted according to the operating status compliance value of the high-voltage distribution cabinet. The specific process is: extract the operating status compliance value of the high-voltage distribution cabinet and compare it with the operating status compliance value threshold of the high-voltage distribution cabinet stored in the database. If the operating status compliance value of the high-voltage distribution cabinet is lower than the operating status compliance value threshold of the high-voltage distribution cabinet, the main circuit of the high-voltage distribution cabinet is switched to the backup circuit.

[0110] Specifically, an alarm prompt is performed, and the specific process is: if the main circuit of the high-voltage distribution cabinet is switched to the backup circuit, a fault alarm is received through the monitoring center, and a warning message pops up on the monitoring interface.

[0111] It should be noted that the switching of the main circuit of the high-voltage distribution cabinet to the backup circuit and the monitoring center receiving the fault alarm and popping up a warning message are two independent processes. The main circuit automatically switches to the backup circuit to ensure uninterrupted power supply. It is an emergency processing mechanism that is executed first. Subsequently, the fault alarm is sent to the monitoring center, and the intelligent monitoring system of the distribution cabinet reports the abnormal situation and transmits relevant fault data to the monitoring center.

[0112] It should be noted that the backup power supply 5 and the backup high-voltage distribution component 6 are both installed in the cabinet 1. When the monitoring system 3 detects that the high-voltage distribution component 2 is damaged, it can switch to the backup mode to ensure the continuity of the power supply and issue a fault alarm signal.

[0113] It should be noted that the intelligent high-voltage distribution cabinet also includes a backup power supply and backup high-voltage distribution components. The backup power supply is equipped with a dedicated thermal management system, which provides efficient temperature control and heat dissipation for the backup power supply through a combination of phase change cold storage materials and micro thermoelectric cooling chips.

[0114] It's important to note that intelligent high-voltage distribution cabinets are made of specialized composite materials, such as fiberglass, carbon fiber reinforced resin, or ceramic-based composites, offering excellent waterproofing, lightning protection, high-voltage resistance, and corrosion resistance. The airbag system inside the intelligent high-voltage distribution cabinet consists of a multi-layered inflatable chamber, comprised of an outer high-strength fiber layer, a middle cushioning airbag layer, and an inner conductive layer. It also includes an intelligent control unit and a rapid inflation system.

[0115] It should be noted that the high-voltage distribution components, backup power supply and backup high-voltage distribution elements of the intelligent high-voltage distribution cabinet all adopt a modular design, which is convenient for disassembly, maintenance and online replacement.

[0116] It should be noted that environmental sensors include temperature and humidity sensors, wind speed sensors, atmospheric pressure sensors, ultraviolet radiation sensors, surge voltage sensors, etc., which are used to detect multiple key parameters of weather and equipment operating status.

[0117] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0118] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0119] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0120] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0121] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. An intelligent high-voltage distribution cabinet resistant to extreme climates, characterized in that: The following steps are involved: Data acquisition module, used to obtain various extreme weather data and current status data of intelligent high-voltage distribution cabinets; The data analysis module is used to analyze the status data of the current intelligent high-voltage distribution cabinet and various extreme weather data to obtain the preventive protection level of the current intelligent high-voltage distribution cabinet protective device, and obtain the protective action of the intelligent high-voltage distribution cabinet according to the preventive protection level of the current intelligent high-voltage distribution cabinet protective device; The protection device linkage module is used to dynamically trigger the protection device of the high-voltage distribution cabinet according to the protection action of the intelligent high-voltage distribution cabinet, and preload the protection device of the intelligent high-voltage distribution cabinet; The intelligent high-voltage distribution cabinet status monitoring module is used to monitor and analyze the operating status of the high-voltage distribution cabinet, obtain the operating status compliance value of the high-voltage distribution cabinet, adjust the high-voltage distribution cabinet according to the operating status compliance value of the high-voltage distribution cabinet, and issue an alarm prompt.

2. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 1, characterized in that: The specific process of analyzing the current status data of the intelligent high-voltage distribution cabinet and various extreme weather data is as follows: Extract the current status data of the intelligent high-voltage distribution cabinet and various extreme weather data during the preset monitoring period, including the cabinet temperature drop rate, relative humidity rise rate, temperature difference between inside and outside the cabinet, insulation resistance drop rate, atmospheric electric field strength value, and atmospheric electric field strength definition change rate; According to the temperature drop rate of the intelligent high-voltage power distribution cabinet in the preset monitoring time period, the temperature drop rate of the intelligent high-voltage power distribution cabinet is compared with the limit value of the temperature drop rate of the intelligent high-voltage power distribution cabinet stored in the database, the relative humidity rise rate is compared with the limit value of the relative humidity rise rate, and the temperature difference between the inside and outside of the cabinet is compared with the limit value of the temperature difference between the inside and outside of the cabinet stored in the database, and an influencing correction factor is introduced to obtain the first trigger value of the protective device of the intelligent high-voltage power distribution cabinet. The first trigger value of the protective device of the intelligent high-voltage power distribution cabinet is used to evaluate the abnormality of the environmental change in the cabinet; By comparing the atmospheric electric field strength value of the area to which the intelligent high-voltage distribution cabinet belongs during the preset monitoring time period with the atmospheric electric field strength boundary value stored in the database, as well as the atmospheric electric field strength change rate during the preset time period with the atmospheric electric field strength boundary change rate stored in the database, the second trigger value of the protective device of the intelligent high-voltage distribution cabinet is obtained. The second trigger value of the protective device of the intelligent high-voltage distribution cabinet is used to evaluate the need to start preventive protection measures for lightning activities.

3. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 1, characterized in that: The specific process of obtaining the preventive protection level of the current intelligent high-voltage distribution cabinet protection device is as follows: According to the first trigger value of the protective device of the intelligent high-voltage power distribution cabinet and the second trigger value of the protective device of the intelligent high-voltage power distribution cabinet, a weight factor is introduced to obtain a preventive protection meter value of the protective device of the intelligent high-voltage power distribution cabinet, wherein the preventive protection meter value of the protective device of the intelligent high-voltage power distribution cabinet is used to indicate the degree of demand for starting preventive protection measures of the protective device; According to the preventive protection measurement value of the intelligent high-voltage distribution cabinet protective device and the preventive protection level of the protective device corresponding to each interval of the preventive protection measurement value of the intelligent high-voltage distribution cabinet protective device stored in the database, the preventive protection level of the current intelligent high-voltage distribution cabinet protective device is obtained.

4. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 1, characterized in that: The intelligent high-voltage distribution cabinet protection device includes a heat insulation layer, a waterproof layer, a lightning protection layer and an insulating layer; The current intelligent high-voltage distribution cabinet protection device has three levels of preventive protection: level one, level two, and level three.

5. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 1, characterized in that: The protective action of the intelligent high-voltage distribution cabinet is obtained according to the preventive protection level matching of the current intelligent high-voltage distribution cabinet protection device. The specific process is as follows: Extract the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet. If the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet is level 1, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the thermal insulation layer of the intelligent high-voltage distribution cabinet. If the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet is level 2, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the thermal insulation layer and waterproof layer of the intelligent high-voltage distribution cabinet; If the current preventive protection level of the protective device of the intelligent high-voltage distribution cabinet is level three, the protective action of the intelligent high-voltage distribution cabinet is to close the movable top cover of the intelligent high-voltage distribution cabinet and open the thermal insulation layer, waterproof layer, lightning protection layer and insulation layer of the intelligent high-voltage distribution cabinet.

6. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 2, characterized in that: The specific process of preloading the protective device of the intelligent high-voltage distribution cabinet is as follows: The second trigger value of the protective device of the intelligent high-voltage distribution cabinet is extracted and compared with the preheating trigger value of the protective facility stored in the database. If the second trigger value of the protective device of the intelligent high-voltage distribution cabinet is higher than or equal to the preheating trigger value of the protective facility, the compressed gas tank in the protective device of the intelligent high-voltage distribution cabinet is pre-pressurized and the electrochemical generator is started for preheating.

7. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 1, characterized in that: The specific process of monitoring and analyzing the operating status of the high-voltage distribution cabinet is as follows: Obtaining the operating status data of the high-voltage distribution cabinet during a preset monitoring period, including the pressure drop rate of the airbag device in the high-voltage distribution cabinet protective device, the insulating gas concentration drop rate, the oxygen concentration, and the impedance and leakage current of each key electrical facility of the high-voltage distribution cabinet; Extracting and comparing the pressure drop rate of the airbag device with a set pressure drop rate limit value, the insulating gas concentration drop rate with a set insulating gas concentration drop rate limit value, and the oxygen concentration with a set oxygen concentration limit value, and introducing an influence correction factor to obtain an operation compliance index of the airbag device, wherein the operation compliance index of the airbag device is used to evaluate the stability of the airbag device; The impedance of each key electrical facility of the high-voltage distribution cabinet is extracted and compared with the impedance reference value of each key electrical facility, as well as the leakage current of each key electrical facility and the leakage current limit value of each key electrical facility, and an impact correction factor is introduced to obtain the operation compliance index of each key electrical facility. The operation compliance index of each key electrical facility is used to evaluate the stability of the airbag device.

8. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 7, characterized in that: The specific process of obtaining the operating status compliance value of the high-voltage distribution cabinet is as follows: The operation compliance index of the airbag device and the operation compliance index of each key electrical facility are extracted, and a weight factor is introduced to obtain the operation status compliance value of the high-voltage distribution cabinet. The operation status compliance value of the high-voltage distribution cabinet is used to evaluate the overall operation stability of the high-voltage distribution cabinet.

9. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 1, characterized in that: The high-voltage distribution cabinet is adjusted according to the operating state compliance value of the high-voltage distribution cabinet, and the specific process is: The operating status compliance value of the high-voltage distribution cabinet is extracted and compared with the operating status compliance value threshold of the high-voltage distribution cabinet stored in the database. If the operating status compliance value of the high-voltage distribution cabinet is lower than the operating status compliance value threshold of the high-voltage distribution cabinet, the main circuit of the high-voltage distribution cabinet is switched to the backup circuit.

10. The extreme climate resistant intelligent high-voltage power distribution cabinet according to claim 9, characterized in that: The specific process of the alarm prompt is as follows: If the main circuit of the high-voltage distribution cabinet is switched to the backup circuit, a fault alarm will be received through the monitoring center, and a warning message will pop up on the monitoring interface.

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