An outdoor switch station control method and system

Abstract

The application provides an outdoor switch station control method and system, relates to the technical field of workstation control, and realizes real-time collection of various data in the switch station through various sensors arranged inside and outside the box, realizes comprehensive correlation analysis and influence anomaly identification of environmental data and equipment state data through an original parameter set, issues on-site operation instructions to the automatic control device and the protection execution mechanism through the hidden hidden danger early warning signal, orderly controls the heat dissipation and dehumidification equipment, switch opening and closing and automatic power supply recovery, uploads information and alarm pushes to the remote centralized control center through the on-site disposal result and all operation data, clearly warns serious abnormal information, and evaluates the health state of long-term accumulated data, and the application comprehensively improves the operation reliability, fault self-healing ability and operation and maintenance decision accuracy of the outdoor switch station.

Description

Technical Field

[0001] This invention proposes a control method and system for outdoor switch stations, which relates to the field of intelligent control technology, specifically to the field of outdoor switch station control technology. Background Technology

[0002] The existing control systems of outdoor switchyards operate independently, with their environmental monitoring, electrical protection, and equipment management systems functioning in isolation. The collected data is not interconnected, making it impossible to comprehensively assess the interrelationships between environmental factors and equipment status (such as gas pressure fluctuations caused by temperature changes or insulation degradation due to increased humidity). Furthermore, when equipment overheats, it's impossible to distinguish between poor external heat dissipation and abnormal internal contact, as the handling methods for these two situations are completely different. Misjudgment can lead to improper handling or even escalation of the accident. In addition, traditional solutions rely solely on a single preset recovery path; if the path fails, recovery fails, and the voltage phase angle difference between the two sides is not considered during closing, potentially generating a large inrush current. Regarding equipment operation and maintenance, health assessments are based solely on electrical wear parameters such as the number of operations and breaking current, ignoring the cumulative degradation impact of airtightness history on insulation life, resulting in assessment results that deviate from the actual equipment condition. These problems hinder further improvements in the operational reliability, fault handling efficiency, and maintenance accuracy of switchyards. Summary of the Invention

[0003] This invention provides an outdoor switchyard control method and system to solve the above-mentioned problems: This invention proposes an outdoor switchyard control method and system, the method comprising: S1. By deploying various sensors inside and outside the enclosure, various data inside the switch station are collected in real time to obtain the raw parameter set; S2. By comprehensively analyzing the correlation between environmental data and equipment status data and identifying anomalies through the original parameter set, early warning signals of hidden dangers are obtained; S3. By issuing local operation commands to automatic control devices and protection actuators through hidden danger early warning signals, the heat dissipation and dehumidification equipment, switch tripping and automatic power restoration are controlled in an orderly manner to obtain local handling results. S4. Upload information and push alarms to the remote control center based on the results of on-site handling and all operational data, provide clear warnings for serious abnormal information, and conduct health status assessments on long-term accumulated data to obtain maintenance guidance and suggestions.

[0004] Furthermore, the system includes: The real-time acquisition module is used to collect various data inside the switch station in real time through a variety of sensors deployed inside and outside the enclosure, and obtain the raw parameter set. The analysis and identification module is used to perform comprehensive correlation analysis and anomaly identification on environmental data and equipment status data through the raw parameter set, and obtain early warning signals of hidden dangers. The orderly control module is used to issue local operation commands to automatic control devices and protection actuators through hidden danger early warning signals, and to orderly control heat dissipation and dehumidification equipment, switch tripping and automatic power restoration to obtain local handling results; The data evaluation module is used to upload information and push alarms to the remote control center based on the results of on-site handling and all operational data. It provides clear warnings for serious abnormal information and conducts health status assessments on long-term accumulated data to obtain maintenance guidance and suggestions.

[0005] The beneficial effects of this invention are as follows: By synchronously collecting and comprehensively analyzing multi-source data, it solves the technical problem of traditional solutions where environmental monitoring, electrical protection, and equipment management are independent and unable to collaboratively identify related hidden dangers. This enables early identification of latent hazards that cannot be detected by a single parameter (such as the deteriorating relationship between decreased airtightness and system grounding). Through local automatic control, it solves the problem of delayed response caused by reliance on manual judgment and remote intervention in traditional solutions, achieving fully automated local closed-loop handling from fault occurrence to isolation and recovery, significantly improving power restoration speed. Through comprehensive operation and maintenance assistance including remote uploading, alarm push notifications, and health assessments, it solves the problems of data fragmentation and lack of quantitative basis for decision-making in traditional operation and maintenance, achieving an upgrade from passive inspection to proactive early warning, and from experience-based judgment to data-driven operation and maintenance. Attached Figure Description

[0006] Figure 1 This is a schematic diagram of an outdoor switch station control method. Detailed Implementation

[0007] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0008] Example 1 In one embodiment of the present invention, an outdoor switch station control method and system are proposed, the method comprising: S1. By deploying various sensors inside and outside the enclosure, a set of raw parameters reflecting the operating status of the equipment is obtained by real-time collection of various data inside the switch station. S2. By comprehensively analyzing the correlation between environmental data and equipment status data and identifying anomalies through the original parameter set, early warning signals of hidden dangers are obtained; S3. By issuing local operation commands to automatic control devices and protection actuators through hidden danger early warning signals, orderly control is carried out on heat dissipation and dehumidification equipment, switch opening and automatic power restoration, and local handling results of fault isolation and power supply self-healing are obtained. S4. Based on the results of on-site handling and all operational data, information is uploaded to the remote control center, and alarms are pushed. Severe anomalies are clearly flagged, and long-term accumulated data is assessed for its health status to obtain maintenance guidance suggestions to support operational decisions. Figure 1 As shown.

[0009] Outdoor switchyards typically consist of an enclosure and an internal gas-insulated switchgear. A gas-insulated switchgear is a switchgear that completely seals all high-voltage live components within a stainless steel gas chamber. The chamber is filled with sulfur hexafluoride gas at a certain pressure as an insulating and arc-quenching medium. It features small size, immunity to external environmental influences, and high operational reliability. The outdoor switchgear described in this invention has an enclosure made of aluminum-zinc coated steel plate with an IP33 protection rating, providing excellent rainproof, dustproof, and heat insulation properties. The internal gas-insulated switchgear's SF6 gas chamber has an IP67 protection rating, allowing it to be installed in harsh environments such as humid, dusty, and salt-contaminated areas.

[0010] The outdoor switchgear control method proposed in this invention achieves intelligent management of outdoor switchgear through four progressive steps: synchronous acquisition of multi-source data, comprehensive correlation analysis, hierarchical automatic control, and health status assessment.

[0011] In the data acquisition phase, various types of sensors are deployed inside and outside the enclosure. Temperature and humidity sensors are installed on the inner wall of the enclosure to monitor the temperature and relative humidity of the air inside in real time, reflecting the microenvironmental state of the switchyard. Pressure gauges are connected to the gas chamber valve of the gas-filled switchgear to read the absolute pressure value of SF6 gas in real time. This pressure value is a key indicator for judging the integrity of the gas chamber seal; however, the pressure value fluctuates with changes in ambient temperature, so this factor needs to be corrected in subsequent analysis. Capacitive voltage indicators are installed on the outside of the outgoing bushing, using the principle of capacitive coupling to non-contactly sense the electric field signal of the line conductor, thereby determining whether the line has operating voltage. Current transformers and voltage transformers are connected in series in the feeder circuit to proportionally convert the large current and high voltage on the primary side into low-amplitude electrical signals usable by protection and measurement devices, obtaining the actual operating current and system voltage of the line. The auxiliary contact signal circuit is attached to the operating mechanism of the switch. Through microswitches or limit switches, it converts the actual open / closed position of the switching equipment (including load switches, vacuum circuit breakers, grounding switches, disconnect switches, etc.) into electrical signal outputs to confirm whether each switching device is in the expected open or closed state. These five sensors operate synchronously, and their output data, after being aligned on the time axis, together constitute a set of raw parameters reflecting the operating status of the switch station.

[0012] In the accurate acquisition of SF6 gas chamber pressure data, due to the definite physical relationship between the pressure and temperature—namely, the isochoric thermobaric characteristic described by the ideal gas law—the pressure increases with increasing temperature and decreases with decreasing temperature when the chamber volume is fixed. Therefore, the raw pressure readings contain normal fluctuations caused by changes in ambient temperature, which need to be removed before analysis. The specific processing method is as follows: First, the current absolute pressure value is read in real time using a pressure gauge, and a time stamp is recorded simultaneously. Then, the ambient temperature data collected within the same time window is retrieved, and the temperature and pressure values ​​are aligned and matched on the time axis to form paired data pairs. Based on the isochoric thermobaric characteristic formula, the corresponding theoretical pressure change is calculated based on the temperature change, and this is subtracted from the raw instantaneous pressure value to obtain a preliminary correction value reflecting the actual molecular weight of the gas. Furthermore, when the temperature change rate is rapid, due to the hysteresis effect of heat conduction, the simple static correction formula may retain some dynamic temperature response components. In this case, it is necessary to calculate the pressure change by subtracting the correction value of the current cycle from the correction value of the previous cycle, while simultaneously reading the temperature change rate. When the temperature change rate exceeds a preset threshold, the residual dynamic temperature response component in the difference is compensated and eliminated a second time, ultimately obtaining an accurate gas pressure correction value after removing the influence of temperature. This correction value eliminates the interference of ambient temperature fluctuations and can truly reflect whether there is a gas leak in the gas chamber.

[0013] In the comprehensive correlation analysis and anomaly identification stage, this invention cross-correlates environmental data and equipment status data in the original parameter set to identify hidden hazards that cannot be reflected by a single parameter. Specifically, it includes five parallel correlation analysis paths: First, it correlates environmental temperature and humidity data with air chamber pressure data. First, it corrects and separates the pressure based on the temperature value, then tracks the attenuation rate of the corrected pressure value over multiple consecutive sampling periods. When the attenuation rate exceeds the pressure drop rate per unit time corresponding to the annual leakage rate allowed by a standard sealed container, it is identified as an airtightness anomaly. Second, it correlates environmental humidity values ​​with condensation critical conditions. It calculates the dew point temperature based on the current temperature and relative humidity. When the dew point temperature is close to or exceeds the equipment surface temperature, it is determined that there is a risk of condensation. Third, it compares the effective current value in the electrical quantity data with the preset overcurrent protection setting item by item, and simultaneously extracts and analyzes the zero-sequence current component to determine whether there is an overload, phase-to-phase short circuit, or single-phase grounding fault. Fourth, it performs consistency backtracking verification between switch position status data and historical operation command records. When a command has been issued but the position signal has not changed synchronously, it is determined that there is jamming of the operating mechanism or transmission failure. The load current value is correlated with the temperature rise data. The expected heat generation temperature rise value is estimated based on the square value of the load current. The difference between the estimated value and the actual temperature rise value is compared. When the actual temperature rise is higher than expected, it is determined that the heat generation is caused by internal contact abnormality. When the actual temperature rise is not higher than expected, it is determined that the heat generation is caused by insufficient external heat dissipation.

[0014] In the accurate identification of heat source attribution, this invention further combines the preliminary determination result of the heat source with the historical wear data of the equipment for risk correction. When the preliminary determination is an internal contact anomaly, the total number of historical operations of the equipment since its commissioning is retrieved, and this number is converted into a percentage of mechanical life consumption; at the same time, the current value at each fault interruption is retrieved, and equivalent conversion is performed according to the electrical wear accumulation formula to calculate the cumulative electrical wear of the contacts. Combining the two dimensions of mechanical life consumption and electrical wear accumulation, the current comprehensive electrical life consumption stage of the equipment is divided into three stages: initial, middle, and final. When the equipment is in the final stage, it indicates that the contacts are severely worn and the mechanism is nearing the end of its life. At this time, the actual risk of internal contact anomaly is much higher than that of similar anomalies under normal operating conditions, so the risk level is increased by one level; when in the middle stage, it is increased by half a level; when in the initial stage, the original level remains unchanged. Finally, the increased risk level is superimposed with the original risk level in the preliminary determination result to output a heat source attribution warning signal corrected by historical wear data.

[0015] In the local automatic control stage, this invention automatically issues graded control commands based on hidden danger warning signals. Specifically, this includes four parallel control actions: First, based on humidity risk warning signals and external heat source attribution warning signals, start / stop adjustment commands are issued to the cooling fans and dehumidifiers, sequentially increasing the corresponding level of cooling or dehumidification power according to risk level from low to high, adjusting the internal temperature and humidity of the enclosure to a safe range. Second, based on the portion of the electrical fault warning signal confirmed as a permanent fault, a trip command is issued to the protection relay, driving the corresponding circuit breaker or load switch to perform a disconnection operation, completely isolating the fault point from the upstream power supply. After fault isolation is completed, based on the trip confirmation signal, a delayed closing command is issued to the bus section switch or tie switch, driving the non-faulty section line to restore power supply. Third, based on the location of the specific abnormal equipment in the operating mechanism abnormality warning signal, a repeated opening and closing test command is issued to the switch while simultaneously monitoring changes in operating resistance. When the resistance exceeds a preset jamming threshold, it is marked as requiring manual intervention; when the resistance is normal, it is marked as the mechanism is flexible and reliable.

[0016] In the precise control of self-healing recovery, this invention further realizes multi-path optimization selection and zero-crossing point closing. After fault isolation is completed, based on the bus section location of the faulty feeder and the preset bus topology connection relationship, all available backup power supply paths for non-faulty sections are automatically identified, generating a recovery path list. The current switching status, load carrying capacity, and presence of other warning signals of each switchgear on each candidate path are comprehensively evaluated, and the optimal recovery path is selected by sorting them from high to low according to power supply capacity adequacy and path safety. The power supply side voltage and load side residual voltage on both sides of the switch to be closed on the selected path are measured in real time, and the amplitude, frequency, and phase angle of the voltage on both sides are acquired synchronously. The instantaneous phase angle difference is continuously calculated and its changing trend over time is monitored to predict the expected time when the phase angle difference shrinks to near zero degrees. The execution time of the closing command is locked at this predicted value, and this locked time is superimposed on the inherent action delay time of the switch operating mechanism. That is, the actual time of issuing the command needs to be one inherent action delay time earlier than the predicted time to ensure that the switch contacts complete the actual closure at the zero-crossing point where the phase angle difference is the smallest. After the circuit breaker is closed, the line voltage and current are read and confirmed. If the voltage returns to the rated value and the current is within the normal range, the circuit is marked as successful. If the parameters are abnormal, the circuit will automatically switch to the next candidate path and re-execute the recovery process.

[0017] In the remote operation and maintenance assistance phase, this invention uploads the on-site handling results and all operational data to the remote control center, and completes four operation and maintenance assistance functions. Environmental adjustment results, fault isolation results, self-healing recovery results, and mechanism verification results, along with all original parameter sets and summary descriptions of various early warning signals, are structured and packaged, and sent to the control center database via the communication network to complete information synchronization and data archiving. Records of airtightness anomalies and electrical faults classified as emergency are prioritized and pushed to the duty terminal via an independent channel and highlighted in a pop-up window to ensure immediate response to emergency anomalies. A comprehensive health status assessment is conducted on the long-term accumulated records of the total number of operations, cumulative breaking current values, and action travel delays of each switchgear, calculating the degree of contact wear and mechanism fatigue. Based on the health assessment results and the severity ranking of various early warning signals, maintenance items are classified into critical defects, general defects, and periodic maintenance. For each item to be handled, the highest contribution factor for trigger priority, suggested handling method, and suggested time limit are marked, forming a graded maintenance guidance suggestion list that can be directly delivered to the operation and maintenance team for execution.

[0018] In the precise calculation of health assessment, this invention further realizes multi-dimensional weighted synthesis and airtightness history correction. The assessment values ​​of the preliminary mechanical lifespan consumption rate assessment, electrical lifespan consumption rate assessment, and mechanical fatigue grading judgment are mapped to a unified percentage scoring scale. Weighted summation is performed according to a preset weighting ratio to obtain the preliminary comprehensive health score before correction. Then, the total number of airtightness anomaly warnings and the duration of each anomaly are retrieved from the historical records for that interval equipment. The frequency of airtightness anomalies per unit operating time is calculated, and this frequency is used as a quantitative characterization value for long-term insulation performance degradation. According to a preset mapping relationship, this frequency value is converted into an insulation lifespan correction coefficient between 0 and 1. The conversion rule is that the higher the airtightness anomaly frequency, the closer the correction coefficient is to 0, and vice versa. The correction factor is multiplied with the preliminary comprehensive health score to reduce the score of equipment with a history of airtightness abnormalities by a corresponding proportion. Finally, the comprehensive health score of each equipment compartment is output. This score takes into account the cumulative effect of multiple dimensions such as mechanical wear, electrical wear, mechanical fatigue and airtightness history, and can more accurately reflect the true remaining life of the equipment.

[0019] The working principle and technical effects of the above technical solution are as follows: This invention uses multiple sensors deployed inside and outside the enclosure to simultaneously collect environmental parameters (temperature and humidity), equipment status parameters (SF6 gas pressure, line energization status, switch position), and electrical operating parameters (current and voltage), forming a multi-dimensional set of raw parameters covering the environmental, equipment, and electrical layers. Based on this, the environmental data and equipment status data are comprehensively correlated and analyzed. For example, the impact of temperature changes on gas pressure is separated to identify the actual leakage trend; humidity changes are correlated with insulation performance to determine condensation risk; and load current is correlated with temperature rise to distinguish heat sources, thereby identifying hidden hazards that have not yet triggered protection settings but are already developing. Based on the identified hidden hazard signals, hierarchical control commands are automatically issued locally: priority is given to adjusting heat dissipation and dehumidification equipment to improve the operating environment; switch tripping is performed to isolate confirmed permanent faults; power supply to non-faulty sections is automatically restored; and verification tests are conducted on abnormal operating mechanisms. All on-site handling results and all operational data are uploaded to the remote centralized control center. Emergency anomalies are alerted immediately. At the same time, a comprehensive health assessment is conducted on historical data such as the number of operations, interruption current, and action delay accumulated over a long period of time, and graded maintenance guidance suggestions are output, forming a complete closed loop from perception, analysis, control to operation and maintenance.

[0020] By synchronously collecting and comprehensively analyzing multi-source data, the technical challenge of traditional solutions—where environmental monitoring, electrical protection, and equipment management are independent and unable to collaboratively assess related hazards—is solved. This enables early identification of hidden hazards that cannot be detected by a single parameter (such as the deteriorating relationship between airtightness degradation and system grounding). Local automatic control addresses the delays caused by reliance on manual judgment and remote intervention in traditional solutions, achieving fully automated local closed-loop handling from fault occurrence to isolation and recovery, significantly improving power restoration speed. Comprehensive O&M support through remote uploading, alarm push notifications, and health assessments solves the problems of data fragmentation and lack of quantitative basis for decision-making in traditional O&M, upgrading the O&M model from passive inspection to proactive early warning and from experience-based judgment to data-driven approaches.

[0021] In one embodiment of the present invention, S1 includes: By using temperature and humidity sensing elements in various sensors, the temperature and relative humidity of the air inside the enclosure are collected in real time to obtain environmental temperature and humidity data from the raw parameter set that reflects the operating status of the equipment. The pressure value of sulfur hexafluoride gas in the gas chamber of the gas holder is collected in real time by pressure indicators among various sensors to obtain gas chamber pressure data. The energized state of the line at the bushing is collected in real time by using capacitive voltage indicators from various sensors to obtain line energized state data. By using current transformers and voltage transformers from various sensors, the operating current and system voltage of the feeder circuit are collected in real time to obtain electrical quantity data. By using auxiliary contact signal loops in various sensors, the open and closed positions of each switching device are collected in real time to obtain the switch position status data in the original parameter set.

[0022] The working principle and technical effects of the above technical solution are as follows: Temperature and relative humidity of the air inside the enclosure are collected in real time using temperature and humidity sensors to obtain ambient temperature and humidity data. SF6 gas pressure in the gas chamber of the gas-filled cabinet is collected in real time using pressure gauges to obtain chamber pressure data. The energized status of the line at the outgoing bushing is collected in real time using a capacitive voltage indicator to obtain line energized status data. The operating current and system voltage of the feeder circuit are collected in real time using current transformers and voltage transformers to obtain electrical quantity data. The open / closed positions of each switchgear are collected in real time using an auxiliary contact signal circuit to obtain switch position status data. These five sensors work synchronously, each outputting raw data in its corresponding dimension, collectively forming a set of raw parameters reflecting the operating status of the equipment.

[0023] By simultaneously collecting multi-dimensional data on environment, airtightness, electrical properties, and location using five types of sensors, this approach solves the technical problem of ineffective correlation analysis caused by the scattered collection and asynchronous timing of various data in traditional solutions. It achieves synchronous acquisition of multi-source data under a unified time reference, providing a complete and time-aligned data foundation for subsequent comprehensive correlation analysis. Through comprehensive sensing covering the environmental, equipment, and electrical layers, it overcomes the problem of hidden hazards not being detected early due to the single sensing dimension in traditional solutions, enabling a comprehensive characterization of the switchyard's operating status.

[0024] In one embodiment of the present invention, the step of acquiring real-time sulfur hexafluoride gas pressure values ​​in the gas chamber of the gas holder using pressure indicators from multiple sensors to obtain gas chamber pressure data includes: The current absolute pressure value of sulfur hexafluoride gas in the gas chamber of the gas holder is read in real time by pressure indicators among various sensors, and the original instantaneous pressure value with the current time mark is obtained. The system retrieves ambient temperature data collected within the same time window using the original instantaneous pressure value and performs temperature drift correction on the original instantaneous pressure value to obtain a corrected gas pressure value after removing the influence of temperature. By recording and comparing the correction values ​​for multiple consecutive sampling cycles using gas pressure correction values, gas chamber pressure data reflecting the current sealing integrity of the gas chamber can be obtained.

[0025] Specifically, the system retrieves ambient temperature data collected within the same time window using the original instantaneous pressure value, and performs temperature drift correction on the original instantaneous pressure value to obtain a corrected gas pressure value after removing the temperature effect. This includes: By using the instantaneous value of the original pressure, the ambient temperature data collected within the same time window is retrieved, and the temperature value is aligned and matched with the instantaneous value of the original pressure on the time axis to obtain a synchronized pair of temperature and pressure data. By using synchronized paired data of temperature and pressure, and based on the isochoric thermo-pressure characteristic relationship of sulfur hexafluoride gas, the theoretical pressure fluctuation component corresponding to the change of ambient temperature is removed from the original instantaneous pressure value, and a preliminary correction value that only reflects the actual molecular content of the gas is obtained. The pressure change in the current period is calculated by subtracting the initial correction value from the correction value of the previous sampling period. At the same time, the rate of change of ambient temperature is read synchronously. If the rate of change of temperature exceeds a preset threshold, the residual temperature dynamic response component in the difference is compensated and eliminated to obtain the gas pressure correction value after removing the influence of temperature.

[0026] The working principle and technical effect of the above solution are as follows: The current absolute pressure value of SF6 gas is read in real time by a pressure indicator, and the time stamp of that moment is recorded simultaneously to obtain the original instantaneous pressure value. Then, ambient temperature data collected within the same time window is called up, and the temperature and pressure values ​​are aligned and matched on the time axis. Based on the isochoric thermo-pressure characteristic relationship of SF6 gas, the theoretical pressure fluctuation component corresponding to the ambient temperature change is removed from the original instantaneous pressure value, obtaining a preliminary correction value that only reflects the actual amount of gas molecules. Finally, the difference between the preliminary correction value and the correction value of the previous sampling period is calculated to obtain the pressure change in the current period. Simultaneously, the rate of change of ambient temperature is read. If the rate of temperature change exceeds a preset threshold, the remaining temperature dynamic response component in the difference is compensated and eliminated a second time to obtain the final gas pressure correction value after removing the influence of temperature.

[0027] By correcting for temperature drift, the technical problem of misinterpreting normal pressure fluctuations caused by ambient temperature changes as gas leaks when directly comparing pressure readings with rated values ​​in traditional solutions is solved, thus achieving precise isolation of the temperature-affected component. Through dynamic compensation and elimination of the rate of temperature change, the technical problem of static correction formulas failing to completely eliminate residual temperature effects during drastic temperature changes is resolved, enabling accurate acquisition of pressure correction values ​​under dynamic operating conditions. This ensures that the corrected pressure data truly reflects the integrity of the gas chamber seal, avoiding false alarms or missed alarms caused by ambient temperature fluctuations.

[0028] In one embodiment of the present invention, S2 includes: By comprehensively analyzing the correlation between environmental temperature and humidity data and air chamber pressure data in the original parameter set, the normal pressure fluctuations caused by temperature changes are corrected and removed, and the attenuation rate of the corrected pressure value is abnormally identified to obtain the air tightness abnormality warning signal in the hidden danger warning signal.

[0029] By comprehensively analyzing the correlation between the humidity value in the environmental temperature and humidity data in the original parameter set and the condensation critical condition, anomalies are identified to determine whether there is a risk of condensation on the insulation surface, and a dampness risk warning signal is obtained from the hidden danger warning signal. By comprehensively analyzing the electrical quantity data in the original parameter set and the preset protection settings, anomalies are identified to determine whether the current exceeds the limit and whether there is a zero-sequence component, thereby obtaining electrical fault warning signals from the hidden danger warning signals. By comprehensively analyzing the switch position status data in the original parameter set and the operation command history, anomaly identification is performed to determine whether the position changes synchronously after the command is issued, thereby obtaining the operating mechanism abnormality warning signal in the hidden danger warning signal. By comprehensively analyzing the load current value and temperature rise data in the electrical quantity data of the original parameter set, the abnormality of excessive heating is identified as either due to insufficient external heat dissipation or abnormal internal contact, and the heat source attribution warning signal is obtained from the hidden danger warning signal.

[0030] The working principle and technical effects of the above technical solution are as follows: A comprehensive correlation analysis is performed between ambient temperature and humidity data and gas chamber pressure data. First, normal pressure fluctuations caused by temperature changes are corrected and removed. Then, anomalies in the attenuation rate of the corrected pressure value are identified to determine if there is a slow SF6 gas leak. A correlation analysis is performed between ambient humidity values ​​and condensation threshold conditions to determine if there is a risk of condensation on the insulation surface. A correlation analysis is performed between electrical quantity data and preset protection settings to determine if the current exceeds limits and if there is a zero-sequence component, identifying overload, short circuit, or grounding faults. A correlation analysis is performed between switch position status data and historical operation command records to determine if the switch position changes synchronously after the command is issued, identifying if the operating mechanism is jammed. A correlation analysis is performed between load current values ​​and temperature rise data to determine if excessive heating is due to insufficient external heat dissipation or internal contact abnormalities, identifying the heat source. These five correlation analyses are performed in parallel, each outputting a corresponding warning signal.

[0031] By comprehensively analyzing the correlation between ambient temperature and humidity and chamber pressure, the technical problem of distinguishing between normal temperature fluctuations and abnormal leaks during pressure fluctuations was solved, enabling early detection of slow leakage trends. Through correlation analysis between humidity and condensation critical conditions, the technical problem of condensation being difficult to measure directly but causing significant harm was solved, enabling early prediction of condensation risks. Through correlation analysis between electrical quantities and protection settings, the passive nature of traditional protection systems, which only act after a fault occurs, was overcome, enabling proactive identification of fault symptoms. Through correlation analysis between position and command, the technical problem of assuming normal operation upon position signal arrival and ignoring internal anomalies was solved, enabling timely detection of potential jamming in the operating mechanism. Through correlation analysis between load current and temperature rise, the technical problem of being unable to distinguish between internal and external causes of excessive heat was solved, enabling accurate location of the heat source.

[0032] In one embodiment of the present invention, the step of comprehensively correlating and analyzing the load current value and temperature rise data in the electrical quantity data of the original parameter set to identify whether the excessive heating is due to insufficient external heat dissipation or internal contact abnormalities, and obtaining the heat source attribution warning signal in the hidden danger warning signal, includes: By comparing the load current value and temperature rise data in the electrical quantity data of the original parameter set with the expected heating temperature rise value corresponding to the current load current and the measured temperature rise value, the deviation between the actual heat generation and the expected heat generation is obtained. By judging the positive and negative direction and degree of deviation by the deviation amount, the source of positive deviation is determined to be internal contact abnormality, and the source of non-positive deviation is determined to be insufficient external heat dissipation, thus obtaining the preliminary determination result of the heat source attribution. Based on the preliminary determination of heat source attribution, for cases initially determined to be internal contact abnormalities, the historical operation count and cumulative fault interruption value of equipment in the same interval are retrieved for auxiliary verification. Based on the verification results, the risk level is adjusted upwards to obtain a heat source attribution early warning signal.

[0033] Specifically, based on the preliminary determination of heat source attribution, for cases initially identified as internal contact anomalies, historical operation counts and cumulative fault interruption values ​​of equipment in the same interval are retrieved for auxiliary verification. Based on the verification results, the risk level is adjusted upwards to obtain a heat source attribution early warning signal, including: Based on the preliminary determination of the heat source attribution, an auxiliary verification process is triggered for cases initially determined to be internal contact abnormalities. The total number of historical operations and the cumulative current value at each fault interruption of the equipment in the same interval since its commissioning are retrieved, and the mechanical life percentage is converted from the total number of operations to obtain basic data on mechanical wear. Based on mechanical wear data, the cumulative breaking current value is converted into electrical wear equivalent, and combined with the total number of operations, the current comprehensive electrical life consumption stage of the equipment in this interval is calculated. The consumption stage is divided into three levels: initial, middle and final, to obtain the electrical life consumption stage determination result. Based on the results of the electrical life consumption stage assessment, if the assessment result is in the final stage, the risk level of internal contact abnormality is increased by one level; if the assessment result is in the initial stage, the current risk level remains unchanged; if the assessment result is in the middle stage, it is increased by half a level. At the same time, the increased risk level is superimposed with the original risk level in the preliminary assessment result to obtain the heat source attribution warning signal.

[0034] The working principle and technical effect of the above technical solution are as follows: The expected temperature rise corresponding to the current load current is compared with the measured temperature rise to obtain the deviation between the actual heat generation and the expected heat generation. Then, the positive or negative direction and degree of deviation are determined: if the deviation is positive (measured heat generation is higher than expected), it is determined to be an internal contact anomaly; if the deviation is negative (measured heat generation is not higher than expected), it is determined to be insufficient external heat dissipation, thus obtaining a preliminary determination of the heat source attribution. For cases initially determined to be internal contact anomalies, an auxiliary verification process is triggered, retrieving the total number of historical operations and the cumulative value of fault interruption current of the equipment in the same interval since commissioning. The number of operations is converted into a percentage of mechanical life consumption, and the interruption current is converted into electrical wear equivalent, thereby determining the current electrical life consumption stage (early, middle, or late stage) of the equipment. If it is determined to be in the late stage, the risk level of internal contact anomaly is increased by one level; for the middle stage, it is increased by half a level; and for the early stage, it remains unchanged. Finally, the increased risk level is superimposed with the original risk level to output a heat source attribution warning signal.

[0035] By comparing the difference between expected and measured heat generation and determining the direction of deviation, this approach solves the technical problems of traditional solutions where alarms are triggered immediately upon exceeding temperature limits, and the inability to distinguish the root cause of heat generation. It achieves accurate attribution of heat generation sources (insufficient external heat dissipation or internal contact abnormalities). By introducing historical operation counts and cumulative fault interruption values ​​for auxiliary verification, it addresses the technical problem that a single temperature criterion cannot reflect the cumulative effects of historical wear on equipment, effectively integrating the current heat generation state with historical wear state in heat source attribution. By applying differentiated upward adjustments to risk levels based on the electrical lifespan stage, it solves the technical problem of underestimated thermal anomaly risks in equipment nearing the end of its lifespan, achieving precise risk warning and grading.

[0036] In one embodiment of the present invention, S3 includes: By using the dampness risk warning signal and the heat source attribution warning signal in the hidden danger warning signal that belong to insufficient external heat dissipation, start and stop adjustment commands are issued to the cooling fans and dehumidifiers in the automatic control device and protection actuator to obtain the environmental adjustment results in the local handling results of fault isolation and power supply self-healing. By identifying permanent faults in the electrical fault warning signals from the hidden danger warning signals, tripping commands are issued to the protection relays in the automatic control devices and protection actuators, driving the corresponding circuit breakers or load switches to perform tripping, thereby obtaining the fault isolation result in the local handling results of fault isolation and power supply self-healing. Based on the confirmation signal that the circuit breaker has been tripped in the fault isolation result, a delayed closing command is issued to the bus section switch or tie switch in the automatic control device and protection actuator to drive the non-faulty section line to restore power supply and obtain the self-healing recovery result in the local handling result of fault isolation and power supply self-healing. By locating specific abnormal equipment in the operating mechanism abnormality warning signal in the hidden danger warning signal, repeatedly opening and closing test commands are issued to the corresponding switches in the automatic control device and protection actuator, and resistance is monitored simultaneously to obtain the mechanism verification results in the on-site handling results of fault isolation and power supply self-healing.

[0037] The working principle and technical effects of the above technical solution are as follows: Based on the dampness risk warning signal and heat source attribution warning signal indicating insufficient external heat dissipation, start-stop adjustment commands are issued to the cooling fan and dehumidifier to actively improve the internal operating environment of the enclosure. Based on the electrical fault warning signal indicating a permanent fault, a trip command is issued to the protection relay to drive the corresponding circuit breaker or load switch to open, completely isolating the fault point from the power supply side. Based on the confirmation signal that the tripping has been completed in the fault isolation result, a delayed closing command is issued to the bus section switch or tie switch to drive the non-faulty section line to restore power supply. Based on the location of the specific abnormal equipment in the operating mechanism abnormality warning signal, a repeated opening and closing test command is issued to the corresponding switch while simultaneously monitoring resistance changes to verify the flexibility and reliability of the mechanism.

[0038] By executing four local controls in parallel based on early warning signals, the technical problem of traditional solutions—where environmental adjustment, fault isolation, power restoration, and mechanism verification belong to different systems and cannot be coordinated—is solved, achieving orderly coordination of multiple types of handling actions under unified decision-making. By prioritizing environmental adjustment before executing other control actions, the technical problem of potential malfunction or failure of protection and control equipment under harsh environmental conditions is solved, improving the reliability and success rate of local operations. Through self-healing recovery after fault isolation and active mechanism verification, the technical problem of traditional solutions ending after fault isolation without verifying the recovery path and the health status of the mechanism is solved, achieving a complete closed loop for fault handling.

[0039] In one embodiment of the present invention, the method of issuing a delayed closing command to the bus section switch or tie switch in the automatic control device and protection actuator through the confirmation signal that the tripping has been completed in the fault isolation result, driving the non-faulty section line to restore power supply, and obtaining the self-healing recovery result in the local handling result of fault isolation and power supply self-healing, includes: Based on the confirmation signal that the tripping has been completed in the fault isolation results, the bus section where the faulty feeder that tripped is located is located, and the backup power supply path of the non-faulty section is automatically identified according to the bus topology to obtain a list of selectable power restoration paths. By evaluating the current status and load capacity of the switching equipment on each power restoration path list and sorting them by safety, the optimal restoration path selection result is obtained. Based on the optimal recovery path selection result, a closing command is issued to the closing control circuit of the switch, and the closing time is delayed until the zero-crossing point with the smallest voltage phase angle difference to obtain a delayed closing execution result that avoids the inrush current peak. The line voltage and current after closing are read and confirmed by the delayed closing execution result. If the parameters are normal, the self-healing recovery is marked as successful. If the parameters are abnormal, the process is switched to the next candidate path and re-executed to obtain the self-healing recovery result.

[0040] Specifically, based on the optimal recovery path selection result, a closing command is issued to the switch closing control circuit, and the closing time is delayed until the zero-crossing point where the voltage phase angle difference is minimal, thus obtaining a delayed closing execution result that avoids inrush current peaks, including: Based on the optimal recovery path selection result, the power supply side voltage and load side residual voltage on both sides of the switch to be closed on the path are read in real time, and the amplitude, frequency and phase angle of the voltage on both sides are measured synchronously to obtain the real-time measured values ​​of the voltage parameters on both sides of the closing point. By obtaining the real-time measured values ​​of the voltage parameters on both sides of the closing point, the instantaneous phase angle difference of the voltage on both sides is continuously tracked and calculated, and the changing trend of the phase angle difference with time is monitored in real time. Based on the changing trend, the expected time when the phase angle difference shrinks to near zero degrees is predicted, and the predicted value of the optimal closing phase angle time is obtained. By obtaining the predicted value of the optimal closing phase angle, the execution time of the closing command is locked at the predicted value, that is, near the zero-crossing point where the phase angle difference between the two voltages is the smallest. This locked time is then superimposed on the inherent action delay time of the switch operating mechanism to calculate that the actual command is issued one inherent action delay time in advance, so that the switch contacts complete the actual closure at the zero-crossing point where the phase angle difference is the smallest, thus obtaining a delayed closing execution result that avoids the inrush current peak.

[0041] The working principle and technical effect of the above technical solution are as follows: Based on the confirmation signal that the circuit breaker has been tripped, the bus section where the faulty feeder is located is located. Based on the bus topology, all available backup power supply paths in the non-faulty section are automatically identified, generating a list of power restoration paths. Then, the current opening / closing status of the switchgear on each candidate path, the load carrying capacity, and the presence of other warning signals are evaluated item by item. The paths are sorted from high to low according to power supply capacity adequacy and path safety, and the optimal restoration path is selected. Furthermore, the amplitude, frequency, and phase angle of the voltage on the power supply side and the residual voltage on the load side on both sides of the switch to be closed on this path are measured in real time. The instantaneous phase angle difference between the two sides is continuously tracked and calculated, and the expected time when the phase angle difference shrinks to near zero degrees is predicted. The execution time of the closing command is locked at the predicted value, while the inherent action delay time of the switch mechanism is superimposed, so that the actual command is issued one inherent delay in advance, ensuring that the switch contacts close at the zero-crossing point where the phase angle difference is minimal. Finally, the line voltage and current after closing are read and confirmed. If the parameters are normal, the restoration is marked as successful; if the parameters are abnormal, the system automatically switches to the next candidate path and re-executes the restoration process.

[0042] By employing multi-path generation and safety prioritization, the technical problem of traditional solutions relying solely on a single preset recovery path and experiencing recovery failure upon path failure is resolved, enabling redundant selection and optimized decision-making for recovery paths. Real-time measurement of voltage parameters on both sides and continuous tracking of phase angle difference address the technical issue of potentially large inrush currents from blind closing, achieving precise control of the closing timing. By advancing the closing command by an inherent action delay time, the technical problem of inconsistencies between the command issuance time and the actual contact closure time, resulting in inaccurate zero-crossing, is resolved, ensuring the switch contacts close at an ideal electrical angle and significantly reducing the impact of inrush current on the system and equipment. Post-closing parameter confirmation and automatic failover address the technical issues of lack of verification of recovery operation success and lack of follow-up handling solutions after failure, achieving a complete closed-loop self-healing recovery with high reliability.

[0043] In one embodiment of the present invention, S4 includes: By uploading information to the remote control center through the environmental adjustment results, fault isolation results, self-healing and recovery results, and institutional verification results in the on-site handling results, as well as the original parameter set and early warning signal set in all operational data, the information in the maintenance guidance suggestions that assist in operation and maintenance decision-making is synchronously archived. By using the airtightness abnormality warning signal and the electrical fault warning signal in the serious abnormality information that are determined to be of the emergency level, an alarm is pushed to the remote control center and the equipment number and abnormality type are clearly identified, so as to obtain the immediate warning delivery result in the maintenance guidance suggestions to assist operation and maintenance decision-making. By accumulating data on the total number of operations, cumulative breaking current value and travel delay of each switching device over a long period of time, a health status assessment is conducted on the degree of contact wear and the degree of mechanical fatigue, and the equipment health assessment results are obtained in the maintenance guidance suggestions to assist in operation and maintenance decision-making. By ranking the severity of equipment health assessment results and various warning signals, maintenance items are classified and categorized, and the main basis for each item is marked, resulting in a list of graded maintenance guidance suggestions to assist in operation and maintenance decision-making.

[0044] The working principle and technical effects of the above technical solution are as follows: Environmental adjustment results, fault isolation results, self-healing recovery results, and mechanism verification results from on-site handling, along with all original parameter sets and various early warning signals, are uploaded to the remote control center in a structured manner to complete information synchronization and data archiving. Records of airtightness anomalies and electrical faults classified as emergency are prioritized and pushed to the control center's duty terminal via an independent channel, highlighting the equipment number, anomaly type, and trigger time in a pop-up window. A comprehensive health assessment is conducted on the accumulated total number of operations, cumulative breaking current values, and action travel delay records of each switchgear to estimate contact wear and mechanism fatigue. Based on the health assessment results and the severity of various early warning signals, maintenance items are categorized and classified, with the main basis for each item noted, forming a tiered maintenance guidance suggestion list.

[0045] By synchronizing and archiving information, the technical problems of data fragmentation between local equipment and remote systems, and the inability to effectively accumulate operational records, were resolved, achieving unified management and traceability of all station operational data. By prioritizing the independent push of emergency anomalies, the technical problem of critical alarms being easily buried in large amounts of routine data, leading to response delays, was resolved, enabling immediate alerts and rapid responses in emergency situations. Through comprehensive health assessment, the technical problems of lacking quantitative data on remaining equipment lifespan and relying on experience-based judgment for maintenance decisions in traditional operations and maintenance were resolved, enabling quantitative scoring of equipment health status. Through a tiered maintenance recommendation list, the technical problems of unclear maintenance project priorities and lack of systematic basis for maintenance plan preparation were resolved, achieving optimal allocation of maintenance resources and scientific planning.

[0046] In one embodiment of the present invention, the health status assessment of contact wear and mechanical fatigue is performed by using long-term accumulated data on the total number of operations, cumulative breaking current values, and travel delay records of each switching device to obtain the equipment health assessment results in maintenance guidance suggestions to assist in operation and maintenance decisions. This includes: By using the total number of operations and cumulative breaking current values ​​of each switching device from the long-term accumulated data, the mechanical life consumption rate of the number of operations is calculated, and the cumulative electrical wear is calculated based on the cumulative breaking current value, thus obtaining the preliminary assessment results of the mechanical life consumption rate and the assessment results of the contact electrical life consumption rate. By retrieving the action stroke delay records from the long-term accumulated data through the contact electrical life consumption rate assessment results, the average delay of the most recent operations is compared with the standard value at the beginning of operation to obtain the mechanism action delay drift amount and mechanism fatigue classification results. Based on the preliminary assessment results of mechanical life consumption rate, electrical life consumption rate, and mechanical fatigue classification, the three are comprehensively weighted and calculated. The historical airtightness anomaly frequency is used as an insulation life correction coefficient to introduce into the score, thereby obtaining the equipment health assessment result.

[0047] The assessment results are obtained by comprehensively and weighting the preliminary assessment results of mechanical life consumption rate, electrical life consumption rate, and mechanism fatigue classification results, and incorporating historical airtightness anomaly frequencies as insulation life correction coefficients into the scoring. This yields the equipment health assessment results, including: Based on the preliminary assessment results of mechanical life consumption rate, electrical life consumption rate, and mechanism fatigue classification, the assessment values ​​of the three are mapped onto a unified percentage scoring scale, and weighted summation is performed according to the preset weight allocation ratio to obtain the preliminary comprehensive health score before correction. Based on the preliminary health score obtained, the total number of air tightness anomaly warnings and the duration of each anomaly in the historical records of the equipment in this interval are retrieved and statistically analyzed. The frequency of air tightness anomalies per unit operating time is calculated, and this frequency is used as a quantitative characterization value of insulation performance degradation to obtain the statistical value of air tightness anomaly frequency. The obtained airtightness anomaly frequency statistics are converted into insulation life correction coefficients between 0 and 1 according to a preset mapping relationship. The higher the airtightness anomaly frequency, the closer the correction coefficient is to 0, and vice versa. The correction coefficient is then multiplied with the preliminary health comprehensive score to reduce the health score of equipment with a history of airtightness anomalies by a corresponding proportion, thus obtaining the final health assessment results for each bay.

[0048] The working principle and technical effect of the above technical solution are as follows: The assessment values ​​of the preliminary mechanical lifespan consumption rate, electrical lifespan consumption rate, and mechanism fatigue grading are mapped onto a unified percentage scoring scale. These values ​​are then weighted and summed according to a preset weighting ratio to obtain a preliminary overall health score before correction. Next, the total number of airtightness anomaly warnings and the duration of each anomaly in the historical records of the equipment in that bay are retrieved and statistically analyzed. The frequency of airtightness anomalies per unit operating time is calculated and used as a quantitative characterization value for insulation performance degradation. Finally, this frequency value is converted into an insulation lifespan correction coefficient between 0 and 1 according to a preset mapping relationship. The higher the frequency of airtightness anomalies, the closer the correction coefficient is to 0, and vice versa. This correction coefficient is then multiplied by the preliminary overall health score, resulting in a proportional reduction in the health score of equipment with a history of airtightness anomalies. The final health assessment result for each bay is then output.

[0049] By weighted summing of the three assessment results, the technical problem of single-dimensional assessments failing to comprehensively reflect the overall health status of equipment is solved, achieving a multi-dimensional integrated assessment of mechanical life, electrical life, and mechanical fatigue. By introducing historical airtightness anomaly frequency as an insulation life correction coefficient into the score, the technical problem of traditional health assessments ignoring the impact of historical airtightness on cumulative insulation life degradation is addressed, enabling a quantitative representation of the impact of historical airtightness degradation on the overall health of the equipment. Through product correction, the score of equipment with a history of airtightness anomalies is proportionally reduced, resolving the technical problem of inflated equipment health scores leading to inaccurate maintenance decisions. This achieves a more accurate health assessment that closely reflects the actual operating state of the equipment, avoiding maintenance delays or misjudgments caused by distorted scoring.

[0050] According to one embodiment of the present invention, the system includes: The real-time acquisition module is used to collect various data inside the switch station in real time through a variety of sensors deployed inside and outside the enclosure, and obtain a set of raw parameters reflecting the operating status of the equipment. The analysis and identification module is used to perform comprehensive correlation analysis and anomaly identification on environmental data and equipment status data through the raw parameter set, and obtain early warning signals of hidden dangers. The orderly control module is used to issue local operation commands to automatic control devices and protection actuators through hidden danger early warning signals, and to orderly control heat dissipation and dehumidification equipment, switch tripping and automatic power restoration to obtain local handling results of fault isolation and power supply self-healing. The data evaluation module is used to upload information and push alarms to the remote control center based on the results of on-site handling and all operational data. It provides clear warnings for serious abnormal information and conducts health status assessments on long-term accumulated data to obtain maintenance guidance suggestions to assist in operation and maintenance decisions.

[0051] The working principle and technical effects of the above-mentioned technical solution are as follows: The system uses multiple sensors deployed inside and outside the enclosure to simultaneously collect environmental parameters (temperature and humidity), equipment status parameters (SF6 gas pressure, line energization status, switch position), and electrical operating parameters (current and voltage), forming a multi-dimensional set of raw parameters covering the environmental, equipment, and electrical layers. Based on this, the environmental data and equipment status data are comprehensively correlated and analyzed. For example, the impact of temperature changes on gas pressure is separated to identify the actual leakage trend; humidity changes are correlated with insulation performance to determine condensation risk; and load current is correlated with temperature rise to distinguish heat sources, thereby identifying hidden hazards that have not yet triggered protection settings but are already developing. Based on the identified hidden hazard signals, hierarchical control commands are automatically issued locally: priority is given to adjusting heat dissipation and dehumidification equipment to improve the operating environment; switch disconnection is performed for confirmed permanent faults; power supply to non-faulty sections is automatically restored; and verification tests are conducted on abnormal operating mechanisms. All on-site handling results and all operational data are uploaded to the remote centralized control center. Emergency anomalies are alerted immediately. At the same time, a comprehensive health assessment is conducted on historical data such as the number of operations, interruption current, and action delay accumulated over a long period of time, and graded maintenance guidance suggestions are output, forming a complete closed loop from perception, analysis, control to operation and maintenance.

[0052] The system solves the technical challenge of traditional solutions where environmental monitoring, electrical protection, and equipment management are independent and unable to collaboratively identify related hidden dangers through synchronous multi-source data acquisition and comprehensive correlation analysis. It enables early identification of latent hazards that cannot be detected by a single parameter (such as the deteriorating relationship between airtightness degradation and system grounding). Through local automatic control, it overcomes the delays caused by reliance on manual judgment and remote intervention in traditional solutions, achieving fully automated local closed-loop handling from fault occurrence to isolation and recovery, significantly improving power restoration speed. Through comprehensive O&M support including remote uploading, alarm push notifications, and health assessments, it addresses the issues of data fragmentation and lack of quantitative basis for decision-making in traditional O&M, upgrading the O&M model from passive inspection to proactive early warning and from experience-based judgment to data-driven approaches.

[0053] Example 2 This embodiment further conducts a joint analysis of the deviation degree, duration, propagation relationship, occurrence time, adjustable margin of the control object, and historical control effect among multiple types of anomalies to identify the dominant anomaly, accompanying anomaly, and parallel anomaly, and to form a collaborative handling instruction adapted to the current complex anomaly condition.

[0054] This embodiment proposes an outdoor switch station control method, which includes the following steps S1 to S5.

[0055] S1. By deploying various sensors inside and outside the enclosure, environmental data, equipment status data, and electrical operation data of the switch station are collected in real time to obtain the raw parameter set.

[0056] S2. Perform a comprehensive correlation analysis on the original parameter set to obtain early warning signals for air tightness anomalies, humidity risks, electrical faults, abnormal operating mechanisms, and heat source attribution.

[0057] S3. Based on the early warning signals of each hidden danger, control the cooling fan, dehumidifier, protection relay, circuit breaker or load switch, bus section switch or tie switch to perform local treatment and obtain the local treatment results.

[0058] S4. Upload the on-site handling results and all operational data to the remote control center, and conduct a health status assessment based on long-term accumulated data to obtain maintenance guidance and suggestions.

[0059] S5. When at least two types of hidden danger warning signals appear simultaneously, or appear continuously within a preset associated time range, the deviation degree, duration, propagation relationship, occurrence time sequence, adjustable margin of the control object, and historical control effect of various anomalies are jointly processed to determine the dominant anomaly and accompanying anomaly, and a set of collaborative disposal instructions is generated.

[0060] Step S5 includes steps S51 to S53.

[0061] S51. Based on the degree of deviation, duration, degree of propagation and correlation of various anomalies and the order of their occurrence, determine the degree of anomaly dominance of each anomaly in the current complex anomaly condition, and distinguish between dominant anomalies, accompanying anomalies and parallel anomalies accordingly.

[0062] S52. Based on the degree of deviation and propagation correlation of various anomalies, combined with the current adjustable margin of the corresponding control object, the degree of anomaly convergence after each control, the degree of conflict between control actions, and the execution risk of control actions, determine the degree of control adaptation of each candidate control action to the current anomaly.

[0063] S53. Based on the degree of dominance of various anomalies and the degree of control adaptability of each candidate control action, the candidate control actions are screened and sorted. Under the condition of meeting electrical safety constraints, the control object, control sequence, control amplitude, result verification time and control termination conditions are determined to obtain a set of collaborative handling instructions.

[0064] Specifically, in step S51, the airtightness anomaly warning signal, humidity risk warning signal, electrical fault warning signal, operating mechanism anomaly warning signal, and heat source attribution warning signal obtained in Example 1 are respectively taken as the anomaly components to be analyzed. Among them, the heat source attribution warning signal is further characterized as insufficient external heat dissipation or internal contact anomaly according to the determination result of Example 1, without adding new warning signal types.

[0065] Continuous anomaly judgment windows are set for each abnormal component, and the deviation degree, direction of change, and duration of the corresponding abnormal parameter are recorded in each anomaly judgment window. The deviation degree of airtightness anomaly is determined by the extent to which the temperature-corrected gas pressure decay rate exceeds the allowable pressure decay rate; the deviation degree of moisture risk is determined by the closeness between the dew point temperature and the equipment insulation surface temperature; the deviation degree of electrical fault is determined by the closeness of the operating current to the preset protection setting and the extent to which the zero-sequence current exceeds the normal fluctuation range; the deviation degree of operating mechanism anomaly is determined by the extent to which the actual time delay of the switch position change after the operation command is issued exceeds the standard action time delay; the deviation degree of heat source attribution anomaly is determined by the deviation between the measured temperature rise value and the expected temperature rise value corresponding to the current load current.

[0066] When an abnormal parameter does not exceed the warning threshold, its degree of abnormal deviation is recorded as normal; when an abnormal parameter is between the warning threshold and the emergency threshold, the degree of abnormal deviation is determined according to its position in the corresponding interval; when an abnormal parameter reaches or exceeds the emergency threshold, it is determined as a high deviation abnormality.

[0067] Furthermore, the direction of anomaly propagation is determined based on the actual impact relationships between various anomalies. These impact relationships include at least the following: moisture risk propagates towards decreased insulation performance, increased zero-sequence current, and delayed response of operating mechanisms; insufficient external heat dissipation propagates towards increased internal temperature of the enclosure and increased equipment temperature rise; internal contact anomalies propagate towards a widening deviation between measured and expected temperature rises; electrical faults propagate towards the operation of protective relays and the tripping of circuit breakers or load switches; operating mechanism anomalies propagate towards failure of fault isolation or power restoration; and airtightness anomalies propagate towards an increased risk of decreased insulation performance in the gas-insulated switchgear.

[0068] When one anomaly precedes another, the direction of change of the latter anomaly is consistent with the direction of the potential impact of the former anomaly, and the time interval between the occurrence of the two anomalies is within a preset propagation time range, the propagation correlation of the former anomaly is increased. If the anomalies occur in reverse order, or the direction of change of the latter anomaly is inconsistent with the preset impact direction, the propagation correlation between the two is decreased.

[0069] For example, when the relative humidity inside the enclosure continues to rise, the dew point temperature gradually approaches the surface temperature of the equipment insulation, and then the zero-sequence current continues to increase, the moisture risk is identified as having a propagation association with the electrical fault; when the zero-sequence current occurs before the humidity change, and the humidity inside the enclosure remains stable during the increase of the zero-sequence current, the moisture risk is not identified as the propagation source of the electrical fault.

[0070] Meanwhile, the persistence level of an anomaly is determined based on its appearance within multiple consecutive anomaly assessment windows. Anomalies that appear briefly and recover quickly within a single anomaly assessment window have a low persistence level; anomalies that consistently exceed the warning threshold across multiple anomaly assessment windows and whose deviation increases continuously have a high persistence level.

[0071] The order of occurrence of anomalies is determined by the time when each anomaly first exceeds the warning threshold. Anomalies that appear earliest, last the longest, and can explain subsequent changes have a higher time lead; anomalies that appear later than other anomalies but are consistent with their propagation results have a lower time lead.

[0072] By considering the degree of deviation, duration, propagation correlation, and time primacy of each anomaly, the degree of anomaly dominance for each anomaly is determined. Anomalies with a greater degree of deviation, a longer duration, that appear before other anomalies, and that can explain subsequent anomaly changes, have a higher degree of anomaly dominance.

[0073] The anomaly with the highest degree of dominance and meeting the preset dominance judgment conditions is identified as the dominant anomaly; the anomaly that appears after the dominant anomaly, whose direction of change conforms to the corresponding propagation relationship, and whose degree of dominance is lower than that of the dominant anomaly is identified as the accompanying anomaly; and the anomaly with a relatively high degree of dominance but no reasonable propagation relationship with the dominant anomaly is identified as the parallel anomaly.

[0074] When two anomalies have similar degrees of dominance and neither anomaly can reasonably explain the occurrence of the other, they are identified as parallel dominant anomalies, and their corresponding control requirements are retained respectively, thus avoiding the merging of independently occurring anomalies into the same propagation process.

[0075] In step S52, corresponding candidate control actions are established based on the dominant anomaly, accompanying anomaly, and parallel anomaly determined in step S51.

[0076] When the dominant or concurrent anomaly is a moisture risk, candidate control actions include starting or increasing the dehumidification heater's operating level and adjusting the cooling fan according to the internal temperature and humidity conditions of the enclosure; when the dominant or concurrent anomaly is insufficient external heat dissipation, candidate control actions include increasing the operating level of the cooling fan; when the dominant or concurrent anomaly is an electrical fault that has been confirmed as a permanent fault, candidate control actions include issuing a trip command to the protection relay to drive the corresponding circuit breaker or load switch to perform tripping; when the dominant or concurrent anomaly is an operating mechanism malfunction, candidate control actions include verifying the corresponding switch actuator after meeting safety conditions; when the fault has been reliably isolated and the non-faulty section meets the conditions for power restoration, candidate control actions also include controlling the bus sectionalizing switch or tie switch to perform delayed closing.

[0077] The current adjustable margin of the controlled object corresponding to each candidate control action is determined separately. The current adjustable margin of the cooling fan is determined based on the remaining range between the current operating level and the maximum allowable operating level; the current adjustable margin of the dehumidifier heater is determined based on the remaining range between the current input power and the allowable input power; the operating permission status of the circuit breaker or load switch is determined based on the current position of the switch, the operating power supply status, the health status of the mechanism, and the fault type; the operating permission status of the bus section switch or tie switch is determined based on the load carrying capacity of the backup power supply path, the status of the switch equipment on the path, and the voltage conditions on both sides; the operating permission status of the mechanism verification is determined based on whether the corresponding switch has been reliably isolated, whether it carries load current, and the current degree of mechanism abnormality.

[0078] Retrieve control records corresponding to similar or identical anomaly combinations from previous instances, compare the changes in the target anomaly before and after the control action is executed, and determine the historical control effect of the corresponding control action. If the target anomaly continues to weaken and converges synchronously with the anomaly after the control action is executed, it indicates that the historical control effect of the control action is good; if the target anomaly does not decrease significantly or continues to expand after the control action is executed, it indicates that the historical control effect of the control action is poor. If similar historical records are missing, a preset initial control effect is used and updated after the current control is completed.

[0079] Further determine whether there are opposing directions of action, duplicate execution objects, or safety sequence conflicts among candidate control actions. When the dehumidifier and cooling fan simultaneously increase their operating levels significantly, potentially causing repeated temperature changes inside the enclosure, increase the control conflict level between them. When an electrical fault has not been reliably isolated, and the candidate control action requires the bus sectionalizing switch or tie switch to close, the power restoration action is determined to have a safety sequence conflict. When the corresponding switch is still energized or under load, and the candidate control action requires verification by the actuator, the verification action of that actuator is determined to not meet safety conditions.

[0080] Meanwhile, the execution risk is determined based on the potential power outage, closing impact, fault amplification, or mechanical damage caused by the candidate control actions. The stage adjustment of cooling fans and dehumidifying heaters generally has a lower execution risk; however, the execution risks for protection relay tripping, circuit breaker or load switch opening, busbar sectionalizing switch or tie switch closing, and mechanical verification are determined based on the fault type, switch health status, load capacity margin, and current operating environment.

[0081] The control fit of each candidate control action is determined by comprehensively considering the degree of abnormal deviation, the degree of propagation correlation, the current adjustable margin of the controlled object, historical control effects, the degree of control conflict, and execution risk. Candidate control actions with a large degree of abnormal deviation, strong propagation impact, significant adjustable margin of the controlled object, and good historical control effects have a high degree of control fit; candidate control actions with obvious control conflicts or high execution risks have a correspondingly lower degree of control fit.

[0082] The degree of deviation from the anomaly and the degree of propagation correlation are used in both steps S51 and S52. In step S51, they are used to determine the dominant relationship of each anomaly in the complex anomaly process, and in step S52, they are used to determine the necessity and applicability of taking specific control actions, so that the anomaly source identification result and the control action selection result remain continuously correlated.

[0083] Step S52 also includes safety constraint determination. When an electrical fault has been confirmed as a permanent fault, the tripping of the protective relay and the opening of the circuit breaker or load switch are determined as priority safety actions and are not delayed due to the higher control adaptability of environmental regulation actions.

[0084] Before a confirmation signal indicating that the circuit breaker or load switch has been tripped is obtained, the power supply to the bus section switch or tie switch shall not be restored. If the corresponding switch is not in a reliable isolation state, still carries load current, or the operating resistance has exceeded the preset jamming threshold, repeated opening and closing tests shall not be performed, and the switch shall be marked as requiring manual intervention.

[0085] In step S53, the degree of anomaly dominance obtained in step S51 and the degree of control adaptation obtained in step S52 are jointly processed. First, candidate control actions that do not meet the safety constraints are deleted. Then, based on the degree of dominance of each anomaly and the degree of adaptation of each candidate control action to the corresponding anomaly, the priority of collaborative handling of each candidate control action under the current complex anomaly condition is determined.

[0086] Candidate control actions corresponding to the dominant anomaly and with a high degree of control adaptation have a higher priority for collaborative handling; control actions corresponding to accompanying anomalies, if the accompanying anomaly can be eliminated synchronously after the dominant anomaly is controlled, their execution order is shifted accordingly or they are not executed separately; control actions corresponding to parallel anomalies are retained separately when there is no control conflict, and when there is a control conflict, the order is determined according to the severity of the anomaly and the security risk.

[0087] A set of collaborative handling instructions is generated based on the priority of collaborative handling and safety constraints. The set of collaborative handling instructions includes at least the target anomaly, the controlled object, the control action, the execution order, the initial control amplitude, the result verification time, the conditions for continued adjustment, the conditions for exiting the action, and the conditions for transferring the anomaly to manual intervention.

[0088] For cooling fans and dehumidifying heaters, the initial control amplitude is divided into low, medium, and high levels based on the priority of coordinated handling of corresponding control actions. When performing environmental adjustment for the first time, the low or medium control amplitude is used first. After an anomaly judgment window, the ambient temperature and humidity data and temperature rise data are collected again.

[0089] When the deviation of the dominant anomaly continues to decrease and the accompanying anomaly weakens synchronously according to the preset propagation relationship, the current control amplitude is maintained; when the dominant anomaly does not decrease significantly, but the controlled object still has an adjustable margin, the control level is increased by one level; when the dominant anomaly decreases and the accompanying anomaly increases in the opposite direction, steps S51 to S53 are executed again to re-evaluate the dominant anomaly and candidate control actions.

[0090] For electrical faults that have been confirmed as permanent faults, the tripping of protective relays and the opening of circuit breakers or load switches do not involve control amplitude grading; they are executed immediately when the protection action conditions are met. After obtaining the confirmation signal of the opening being completed, the bus topology, backup power supply path, load bearing margin, and voltage conditions on both sides, as described in Example 1, are used to determine whether to control the bus sectionalizing switch or tie switch to restore power supply to the non-faulty section.

[0091] For abnormal operating mechanisms, mechanism verification is only performed when the corresponding switch has been reliably isolated and there is no load current. After the first mechanism verification, the operating resistance and switch position status are monitored simultaneously; the mechanism verification ends when the operating resistance does not exceed the preset jamming threshold and the position status can be changed within the allowable time delay; if the first verification does not yield a clear result, verification is allowed again after a preset interval; if two consecutive verifications fail, automatic probing stops and the system is marked as requiring manual intervention.

[0092] After the coordinated handling instruction is executed, the deviation of each abnormality within the abnormality judgment window before and after control is compared. When the dominant abnormality weakens and the accompanying abnormalities with a propagation relationship with it weaken synchronously, the current control is recorded as effective control, and the historical control effect of the corresponding control action is improved; when the dominant abnormality does not weaken or the accompanying abnormalities continue to expand, the current control is recorded as ineffective control, and the historical control effect of the corresponding control action is reduced. The updated historical control effect is used for the control adaptation degree judgment in the subsequent step S52.

[0093] For example, when the relative humidity inside the enclosure continues to rise within multiple anomaly judgment windows, the dew point temperature gradually approaches the insulation surface temperature of the equipment, and then the zero-sequence current increases and some switch position responses become sluggish, the moisture risk is identified as the dominant anomaly because the moisture risk appears first and lasts for a long time, and the order of anomalies conforms to the influence relationship of moisture risk propagating to insulation performance degradation, zero-sequence current increase and operating mechanism response sluggishness. The increase in zero-sequence current and position response sluggishness are identified as accompanying anomalies.

[0094] At this point, the dehumidifier heater still has a large adjustable margin, and historical control records indicate that the safe interval between the dew point temperature and the equipment insulation surface temperature after dehumidification can be expanded. Therefore, the operation of the dehumidifier heater is prioritized. Since the zero-sequence current has not yet reached the permanent fault criterion, the circuit breaker is not immediately tripped; since the corresponding switch is still energized, the mechanism verification is not performed.

[0095] After an anomaly assessment window, if the relative humidity inside the enclosure decreases, the dew point safety interval expands, and the zero-sequence current decreases synchronously, the current dehumidification control is maintained. If the zero-sequence current continues to increase after the humidity decreases and reaches the permanent fault criterion, the electrical fault is redefined as the dominant anomaly, a trip command is issued to the protection relay, and the corresponding circuit breaker or load switch is driven to perform the trip.

[0096] For example, when the load current remains stable, but the measured temperature rise consistently exceeds the expected temperature rise under the corresponding load current, and the abnormal temperature rise occurs before the switch position response lag, the internal contact abnormality is identified as the dominant abnormality, and the operating mechanism response lag is identified as the accompanying abnormality. Since increasing the number of cooling fan operating stages is unlikely to eliminate the internal contact abnormality, and the abnormality convergence effect of similar controls in previous tests has been poor, increasing the number of cooling fan operating stages is not considered a priority control action.

[0097] When an internal contact anomaly reaches a preset severity level, the relevant feeder is isolated first through the protection relay and the corresponding circuit breaker or load switch. After obtaining the trip confirmation signal, the power supply is restored by controlling the bus section switch or tie switch according to the load carrying capacity of the non-faulty section, and the actuator is verified after the corresponding switch is reliably isolated.

[0098] The working principle and technical effect of the above technical solution are as follows: This embodiment further distinguishes between dominant anomalies, accompanying anomalies, and parallel anomalies based on the degree of abnormal deviation, duration, propagation relationship, and order of occurrence; combined with the adjustable margin of the controlled object, historical control effects, control conflicts, and execution risks, the suitability of candidate control actions is determined; and then, based on the anomaly dominance relationship and control suitability relationship, a set of coordinated handling instructions that conforms to the electrical safety sequence is formed.

[0099] This avoids redundant control and action conflicts caused by multiple warning signals triggering control actions separately. It prioritizes handling source anomalies that cause other anomalies to spread, and determines whether accompanying anomalies converge synchronously after the dominant anomaly is controlled. At the same time, by feeding back the actual control results to subsequent control decisions, a closed-loop handling process is formed that adapts to the actual operating status of outdoor switchyards, encompassing heat dissipation, dehumidification, fault isolation, power restoration, and mechanism verification.

[0100] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A control method for an outdoor switch station, characterized in that, The method includes: S1. By deploying various sensors inside and outside the enclosure, various data inside the switch station are collected in real time to obtain the raw parameter set; S2. By comprehensively analyzing the correlation between environmental data and equipment status data and identifying anomalies through the original parameter set, early warning signals of hidden dangers are obtained; S3. By issuing local operation commands to automatic control devices and protection actuators through hidden danger early warning signals, the heat dissipation and dehumidification equipment, switch tripping and automatic power restoration are controlled in an orderly manner to obtain local handling results. S4. Upload information and push alarms to the remote control center based on the results of on-site handling and all operational data, provide clear warnings for serious abnormal information, and conduct health status assessments on long-term accumulated data to obtain maintenance guidance and suggestions.

2. The outdoor switch station control method according to claim 1, characterized in that, S1 includes: By using temperature and humidity sensing elements in various sensors, the temperature and relative humidity of the air inside the enclosure are collected in real time to obtain environmental temperature and humidity data. The pressure value of sulfur hexafluoride gas in the gas chamber of the gas holder is collected in real time by pressure indicators among various sensors to obtain gas chamber pressure data. The energized state of the line at the bushing is collected in real time by using capacitive voltage indicators from various sensors to obtain line energized state data. By using current transformers and voltage transformers from various sensors, the operating current and system voltage of the feeder circuit are collected in real time to obtain electrical quantity data. By using auxiliary contact signal loops in various sensors, the open and closed positions of each switching device are collected in real time to obtain the switch position status data in the original parameter set.

3. The outdoor switch station control method according to claim 2, characterized in that, The method involves real-time acquisition of the sulfur hexafluoride gas pressure value in the gas chamber of the gas holder using pressure indicators from multiple sensors to obtain gas chamber pressure data, including: The current absolute pressure value of sulfur hexafluoride gas in the gas chamber of the gas holder is read in real time by pressure indicators among various sensors to obtain the original instantaneous pressure value. The system retrieves ambient temperature data collected within the same time window using the original instantaneous pressure value, and performs temperature drift correction on the original instantaneous pressure value to obtain the corrected gas pressure value. By recording and comparing the correction values ​​for multiple consecutive sampling periods using gas pressure correction values, the gas chamber pressure data can be obtained.

4. The outdoor switch station control method according to claim 1, characterized in that, S2 includes: By comprehensively analyzing the correlation between environmental temperature and humidity data and air chamber pressure data in the original parameter set, the normal pressure fluctuations caused by temperature changes are corrected and removed, and the attenuation rate of the corrected pressure value is abnormally identified to obtain the air tightness abnormality warning signal in the hidden danger warning signal. By comprehensively analyzing the correlation between the humidity value in the environmental temperature and humidity data in the original parameter set and the condensation critical condition, anomalies are identified to determine whether there is a risk of condensation on the insulation surface, and a dampness risk warning signal is obtained from the hidden danger warning signal. By comprehensively analyzing the electrical quantity data in the original parameter set and the preset protection settings, anomalies are identified to determine whether the current exceeds the limit and whether there is a zero-sequence component, thereby obtaining electrical fault warning signals from the hidden danger warning signals. By comprehensively analyzing the switch position status data in the original parameter set and the operation command history, anomaly identification is performed to determine whether the position changes synchronously after the command is issued, thereby obtaining the operating mechanism abnormality warning signal in the hidden danger warning signal. By comprehensively analyzing the load current value and temperature rise data in the electrical quantity data of the original parameter set, the abnormality of excessive heating is identified as either due to insufficient external heat dissipation or abnormal internal contact, and the heat source attribution warning signal is obtained from the hidden danger warning signal.

5. The outdoor switch station control method according to claim 4, characterized in that, The method involves comprehensively correlating and analyzing the load current value and temperature rise data from the electrical quantity data in the original parameter set to identify whether the excessive heating is due to insufficient external heat dissipation or abnormal internal contact, thereby obtaining the heat source attribution warning signal from the hidden hazard warning signal, including: By comparing the load current value and temperature rise data in the electrical quantity data of the original parameter set with the expected heating temperature rise value corresponding to the current load current and the measured temperature rise value, the deviation between the actual heat generation and the expected heat generation is obtained. By judging the positive and negative direction and degree of deviation by the deviation amount, the source of positive deviation is determined to be internal contact abnormality, and the source of non-positive deviation is determined to be insufficient external heat dissipation, thus obtaining the preliminary determination result of the heat source attribution. Based on the preliminary determination of heat source attribution, for cases initially determined to be internal contact abnormalities, the historical operation count and cumulative fault interruption value of equipment in the same interval are retrieved for auxiliary verification. Based on the verification results, the risk level is adjusted upwards to obtain a heat source attribution early warning signal.

6. The outdoor switch station control method according to claim 1, characterized in that, S3 includes: By using the dampness risk warning signal and the heat source attribution warning signal in the hidden hazard warning signals that belong to insufficient external heat dissipation, start and stop adjustment commands are issued to the cooling fans and dehumidifiers in the automatic control devices and protection actuators to obtain the environmental adjustment results; By identifying permanent faults in the electrical fault warning signals from the hidden danger warning signals, tripping commands are issued to the protection relays in the automatic control devices and protection actuators, driving the corresponding circuit breakers or load switches to perform tripping, thereby obtaining fault isolation results. Based on the confirmation signal that the circuit breaker has been tripped in the fault isolation result, a delayed closing command is issued to the bus section switch or tie switch in the automatic control device and protection actuator to drive the non-faulty section line to restore power supply and obtain the self-healing recovery result in the local handling result of fault isolation and power supply self-healing. By locating specific abnormal equipment in the operating mechanism abnormality warning signal in the hidden danger warning signal, repeatedly opening and closing test commands are issued to the corresponding switches in the automatic control device and protection actuator, and resistance is monitored simultaneously to obtain the mechanism verification results in the on-site handling results of fault isolation and power supply self-healing.

7. The outdoor switch station control method according to claim 6, characterized in that, The method involves issuing a delayed closing command to the bus sectionalizing switch or tie switch in the automatic control device and protection actuator based on the confirmation signal indicating that the circuit breaker has been tripped in the fault isolation result. This drives the non-faulty section of the line to restore power supply, thereby obtaining the self-healing recovery result in the local handling result of fault isolation and power supply self-healing, including: Based on the confirmation signal that the tripping has been completed in the fault isolation results, the bus section where the faulty feeder that tripped is located is located, and the backup power supply path of the non-faulty section is automatically identified according to the bus topology to obtain a list of power supply restoration paths. By evaluating the current status and load capacity of the switching equipment on each power restoration path list and sorting them by safety, the optimal restoration path selection result is obtained. Based on the optimal recovery path selection result, a closing command is issued to the closing control circuit of the switch, and the closing time is delayed until the zero-crossing point where the voltage phase angle difference is the smallest, so as to obtain the delayed closing execution result; The line voltage and current after closing are read and confirmed by the delayed closing execution result. If the parameters are normal, the self-healing recovery is marked as successful. If the parameters are abnormal, the process is switched to the next candidate path and re-executed to obtain the self-healing recovery result.

8. The outdoor switch station control method according to claim 1, characterized in that, S4 includes: By uploading information to the remote control center based on the environmental adjustment results, fault isolation results, self-healing and recovery results, and institutional verification results from the on-site treatment results, as well as the original parameter set and early warning signal set from all operational data, the information is synchronously archived. By using the airtightness abnormality warning signal and the electrical fault warning signal in the serious abnormality information that are determined to be of the emergency level, an alarm is pushed to the remote control center and the equipment number and abnormality type are clearly identified to obtain the immediate warning delivery result. By accumulating data on the total number of operations, cumulative breaking current value and travel delay of each switching device over a long period of time, a health status assessment of contact wear and mechanism fatigue is conducted to obtain the equipment health assessment results. By ranking the equipment health assessment results and the severity of various warning signals, the maintenance items are classified and categorized, and the main basis for each item is marked, resulting in a list of graded maintenance guidance suggestions.

9. The outdoor switch station control method according to claim 8, characterized in that, The health status assessment of contact wear and mechanism fatigue is conducted by using long-term accumulated data on the total number of operations, cumulative breaking current values, and travel delay records of each switching device, resulting in a health assessment result including: By using the total number of operations and cumulative breaking current values ​​of each switching device from the long-term accumulated data, the mechanical life consumption rate of the number of operations is calculated, and the cumulative electrical wear is calculated based on the cumulative breaking current value, thus obtaining the preliminary assessment results of the mechanical life consumption rate and the assessment results of the contact electrical life consumption rate. By retrieving the action stroke delay records from the long-term accumulated data through the contact electrical life consumption rate assessment results, the average delay of the most recent operations is compared with the standard value at the beginning of operation to obtain the mechanism action delay drift amount and mechanism fatigue classification results. Based on the preliminary assessment results of mechanical life consumption rate, electrical life consumption rate, and mechanical fatigue classification, the three are comprehensively weighted and calculated. The historical airtightness anomaly frequency is used as an insulation life correction coefficient to introduce into the score, thereby obtaining the equipment health assessment result.

10. An outdoor switch station control system, characterized in that, The system includes: The real-time acquisition module is used to collect various data inside the switch station in real time through a variety of sensors deployed inside and outside the enclosure, and obtain the raw parameter set. The analysis and identification module is used to perform comprehensive correlation analysis and anomaly identification on environmental data and equipment status data through the raw parameter set, and obtain early warning signals of hidden dangers. The orderly control module is used to issue local operation commands to automatic control devices and protection actuators through hidden danger early warning signals, and to orderly control heat dissipation and dehumidification equipment, switch tripping and automatic power restoration to obtain local handling results; The data evaluation module is used to upload information and push alarms to the remote control center based on the results of on-site handling and all operational data. It provides clear warnings for serious abnormal information and conducts health status assessments on long-term accumulated data to obtain maintenance guidance and suggestions.

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