Power transformation operation and maintenance management method and system for transformer substation

Abstract

The invention discloses a power transformation operation and maintenance management method and system for a transformer substation, and relates to the technical field of power transformation operation and maintenance control. The power transformation operation and maintenance management method for the transformer substation comprises the following steps: monitoring the heat dissipation rate of oil-immersed electrical equipment; monitoring oil temperature data of the oil-immersed electrical equipment; and substation operation and maintenance risk monitoring. According to the method, whether the oil temperature deviation evaluation of the oil-immersed electrical equipment is needed is judged, and then whether the operation and maintenance risk evaluation of the transformer substation is needed is judged according to the oil temperature deviation index of the oil-immersed electrical equipment; then, whether substation operation and maintenance safety optimization and substation operation and maintenance data updating accuracy evaluation are needed or not is judged according to a substation operation and maintenance risk evaluation result, and the effect of improving operation and maintenance response timeliness of the oil-immersed electrical equipment in the substation is achieved; the problem that the operation and maintenance response timeliness of oil-immersed electrical equipment in a transformer substation is reduced in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of substation operation and maintenance control technology, and in particular to a substation operation and maintenance management method and system for substations. Background Technology

[0002] First, by using sensing devices such as thermocouple temperature sensors deployed on substation equipment, real-time data is collected on substation equipment, including electrical parameters, environmental data, and information on the circulation flow status of cooling fans and cooling media. This data is initially processed by edge computing nodes and then uploaded to the substation operation and maintenance management center. The substation operation and maintenance management center uses big data analytics to deeply mine the substation data, automatically identifying abnormal states and issuing warnings. It also generates fault diagnosis reports by combining historical operation and maintenance records. Next, the system intelligently schedules operation and maintenance resources based on the warning level and fault type, pushing work orders containing fault location, handling solutions, and safety specifications to the mobile devices of operation and maintenance personnel. After arriving on site, operation and maintenance personnel scan a code on their mobile devices to obtain detailed equipment information, perform maintenance operations, and provide real-time progress feedback. During the operation, the system monitors the implementation of safety specifications throughout the process using video surveillance and IoT technology. After the task is completed, the substation operation and maintenance management center automatically updates the equipment files and operation and maintenance records, forming a closed-loop management system.

[0003] During substation operation and maintenance management, existing technologies use fiber Bragg grating sensors deployed at key parts of oil-immersed electrical equipment in the substation to monitor the oil temperature in real time. When the oil temperature exceeds the preset range, the substation operation and maintenance management center immediately identifies an anomaly. Then, by comparing with historical data and combining with the operating conditions of the substation's oil-immersed electrical equipment, a comprehensive analysis is conducted to quickly locate the cause of the anomaly, determining whether the excessively high oil temperature is due to a cooling system malfunction. If so, corresponding operation and maintenance strategies are quickly generated, such as activating backup cooling devices and arranging personnel to clean pipelines, and the anomaly information and handling suggestions are promptly fed back to the operation and maintenance personnel.

[0004] For example, the Chinese invention patent announcement CN106933156B discloses a method and device for monitoring the operation and maintenance quality of a substation, which includes: First, collecting various operation and maintenance data of the substation, covering equipment operating parameters such as voltage data, current data, and oil temperature data; then, using big data analysis to calculate the fluctuation range of equipment operating parameters, judging whether the equipment operating status is normal according to preset standards, and comparing inspection and maintenance data from different periods to identify potential hidden dangers; then, generating an operation and maintenance quality assessment report based on the analysis results, clearly pointing out the problematic equipment and areas, and giving corresponding quantitative scores; finally, presenting the assessment report to operation and maintenance personnel through a visual interface.

[0005] For example, Chinese invention patent CN115343979A discloses an alarm method and device for abnormal equipment in a substation digital twin system. The method includes: pre-establishing the IDs of various measurement points on the equipment within the substation and simultaneously building a big data platform; periodically collecting load, current, and other data information of the abnormal equipment in the substation through a data acquisition terminal and transmitting it to the substation operation and maintenance management center; using a distributed data mining algorithm library to compare and analyze the collected data with data in a PostgreSQL database; identifying single signal events, such as abnormal signal actions, transient and frequent events, and comprehensive events, such as equipment failures, anomalies, and network security alarm events, as well as business events, such as equipment operation, maintenance, and commissioning acceptance events, through intelligent reasoning analysis, and presenting warning information through a display tool; generating information such as the working status of equipment components based on the warning information, and simultaneously broadcasting corresponding alarm voice messages.

[0006] The above-mentioned technology has at least the following technical problems: In high-temperature operating environments, caused by heat generated by the substation equipment's own operating losses and the high temperatures of summer, when thermocouple temperature sensors collect oil temperature data from oil-immersed electrical equipment such as oil-immersed transformers, oil-immersed reactors, and oil-immersed high-voltage switches and upload it to the substation operation and maintenance management center, the high temperature environment reduces the heat dissipation efficiency of the oil-immersed electrical equipment. The lower the heat dissipation efficiency, the more severe the heat accumulation inside the oil-immersed electrical equipment, resulting in a greater deviation between the temperature near the outer casing measured by the thermocouple temperature sensor and the actual internal oil temperature. This deviation, coupled with the failure of filtering for abnormal fluctuations caused by high temperatures, further exacerbates the data distortion. Consequently, the substation operation and maintenance management center receives distorted oil temperature data from the substation equipment and updates it, leading to delays in sending abnormal warnings for substation equipment and reducing the timeliness of operation and maintenance response for oil-immersed electrical equipment in the substation. Summary of the Invention

[0007] To address the issue of reduced timeliness in the operation and maintenance response of oil-immersed electrical equipment in substations due to existing technologies, this invention provides a substation operation and maintenance management method and system. The technical solution is as follows: On the one hand, a substation operation and maintenance management method is provided. This method includes: during the operation and maintenance management of oil-immersed electrical equipment in a substation, assessing the heat dissipation rate of the oil-immersed electrical equipment; based on the assessment results, determining whether an oil temperature deviation assessment is needed; if no oil temperature deviation assessment is performed, uploading the oil temperature data to the substation operation and maintenance management center and continuously monitoring it; otherwise, based on the oil temperature data deviation assessment results, determining whether a substation operation and maintenance risk assessment is needed; if no substation operation and maintenance risk assessment is performed, assessing the accuracy of substation operation and maintenance data updates; otherwise, optimizing substation operation and maintenance safety. If the update accuracy assessment is satisfactory, continuous status monitoring of update accuracy will be conducted. Otherwise, a substation operation and maintenance early warning assessment will be conducted based on the optimization results of the substation operation and maintenance data update accuracy. Substation operation and maintenance safety optimization refers to improving the heat dissipation efficiency of oil-immersed electrical equipment by dynamically optimizing the substation cooling fan speed and the substation cooling medium circulation flow. Dynamic optimization of substation cooling fan speed is used to enhance the heat dissipation capacity of oil-immersed electrical equipment by precisely adjusting the fan speed. Dynamic optimization of substation cooling medium circulation flow is used to improve the heat exchange efficiency of oil-immersed electrical equipment by reasonably adjusting the substation cooling medium circulation flow. Substation operation and maintenance data update accuracy optimization is used to improve the consistency between the updated oil temperature data and the actual oil temperature data.

[0008] On the other hand, a substation operation and maintenance management system is provided, including: a heat dissipation rate monitoring module for oil-immersed electrical equipment, an oil temperature data monitoring module for oil-immersed electrical equipment, and a substation operation and maintenance risk monitoring module. The heat dissipation rate monitoring module assesses the heat dissipation rate of the oil-immersed electrical equipment during its operation and maintenance management, and determines whether an oil temperature deviation assessment is needed based on the assessment results. The oil temperature data monitoring module uploads the oil temperature data to the substation operation and maintenance management center and continuously monitors it if no oil temperature deviation assessment is performed; otherwise, it determines whether a substation operation and maintenance risk assessment is needed based on the oil temperature data deviation assessment results. The substation operation and maintenance risk monitoring module determines whether substation operation and maintenance data update accuracy optimization is needed if no substation operation and maintenance risk assessment is performed, based on the substation operation and maintenance data update accuracy assessment results; otherwise, it determines whether substation operation and maintenance safety optimization is needed based on the substation operation and maintenance risk assessment results.

[0009] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. By assessing the heat dissipation rate of oil-immersed electrical equipment, and based on the assessment results, it can be determined whether an oil temperature deviation assessment is needed. This helps to identify the risk of oil temperature fluctuations caused by abnormal heat dissipation in oil-immersed electrical equipment in advance. If an oil temperature deviation assessment is not performed, the oil temperature data should be uploaded to the substation operation and maintenance management center for continuous monitoring. Otherwise, based on the oil temperature deviation assessment results, it can be determined whether a substation operation and maintenance risk assessment is needed. This helps to accurately define the impact of oil temperature deviation on the operational safety of oil-immersed electrical equipment. If a substation operation and maintenance risk assessment is not performed, a substation operation and maintenance data update accuracy assessment should be conducted; otherwise... If the substation operation and maintenance safety optimization is carried out, it will help to improve the risk prevention and control measures for oil-immersed electrical equipment by accurately improving the heat dissipation efficiency for oil temperature deviation, thereby reducing the probability of failure caused by high temperature of oil-immersed electrical equipment. If the accuracy assessment of substation operation and maintenance data update is qualified, continuous status monitoring of update accuracy will be carried out. Otherwise, the substation operation and maintenance early warning assessment will be determined based on the optimization results of substation operation and maintenance data update accuracy. This will help to trigger the substation operation and maintenance early warning response in a timely manner, avoid the delay of substation operation and maintenance early warning caused by inaccurate substation operation and maintenance data updates, improve the timeliness of operation and maintenance response of oil-immersed electrical equipment in substations, and effectively solve the problem of reduced timeliness of operation and maintenance response of oil-immersed electrical equipment in substations.

[0010] 2. By quantifying the deviation between the safety parameters of oil-immersed electrical equipment and the preset standard heat dissipation parameters of oil-immersed electrical equipment, and then weighting the quantified deviation results with the corresponding weighted values ​​of the operating parameters of oil-immersed electrical equipment, a weighted deviation value for the operation of oil-immersed electrical equipment is obtained. This weighted deviation value is then fused to obtain a substation operation and maintenance risk assessment index. This index helps to comprehensively measure the degree of deviation between the safety parameters of oil-immersed electrical equipment and the standard heat dissipation parameters from multiple dimensions, directly reflecting the level of risk of high-temperature operation of oil-immersed electrical equipment. Based on the substation operation and maintenance risk assessment index, it is determined whether substation operation and maintenance safety optimization is necessary, which helps to reduce the possibility of failures caused by high temperatures in oil-immersed electrical equipment. When the risk level is met, it ensures the timeliness and reliability of the data foundation for subsequent operation and maintenance decisions, thereby achieving precise control of the operation and maintenance process of substation oil-immersed electrical equipment and improving the safety of equipment operation and the timeliness of operation and maintenance response.

[0011] 3. By quantifying the deviation between the actual update accuracy of oil temperature data of oil-immersed electrical equipment within a preset update time period and the preset standard update accuracy of oil temperature data in the database, a substation operation and maintenance data update accuracy deviation index is obtained. This helps to transform the difference between the actual update accuracy and the standard update accuracy of oil temperature operation and maintenance data into a quantifiable value, accurately reflecting the degree of deviation of oil temperature data updates within the preset update time period. Based on the substation operation and maintenance data update accuracy deviation index, it is possible to determine whether to optimize the accuracy of substation operation and maintenance data updates or to conduct continuous status monitoring. This helps to improve the accuracy of data updates in a targeted manner when the deviation exceeds the limit, and maintain the stable state of data updates when the deviation meets the standard. Thus, dynamic calibration and precise control of substation oil-immersed electrical equipment oil temperature operation and maintenance data updates are achieved, improving the reliability of operation and maintenance data updates and the timeliness of subsequent substation operation and maintenance early warnings. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a flowchart of a substation operation and maintenance management method provided by an embodiment of the present invention; Figure 2 This is a flowchart summarizing a substation operation and maintenance management method provided by an embodiment of the present invention. Figure 3 This is a substation operation and maintenance safety optimization logic diagram provided by an embodiment of the present invention for a substation operation and maintenance management method; Figure 4 This is a schematic diagram of a substation operation and maintenance management system provided in an embodiment of the present invention. Detailed Implementation

[0014] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0015] like Figure 1 The diagram shown is a flowchart of a substation operation and maintenance management method provided by an embodiment of the present invention. Figure 1 It can be known that: Firstly, heat dissipation rate monitoring of oil-immersed electrical equipment: During the operation and maintenance management of oil-immersed electrical equipment in substations, the heat dissipation rate of the oil-immersed electrical equipment is assessed. Based on the assessment results, it is determined whether an oil temperature deviation assessment of the oil-immersed electrical equipment is necessary. By monitoring the heat dissipation rate of oil-immersed electrical equipment, it is helpful to promptly detect any decline or abnormality in the heat dissipation efficiency of the oil-immersed electrical equipment, ensuring that the heat dissipation capacity of the oil-immersed electrical equipment is within the normal operating range, and providing a basis for subsequent oil temperature data monitoring of the oil-immersed electrical equipment.

[0016] Secondly, oil temperature data monitoring for oil-immersed electrical equipment: If oil temperature deviation assessment is not performed for oil-immersed electrical equipment, the oil temperature data, such as top layer oil temperature, bottom layer oil temperature, winding oil temperature, and oil temperature rise, should be uploaded to the substation operation and maintenance management center and continuously monitored. Otherwise, the substation operation and maintenance risk assessment should be determined based on the oil temperature data deviation assessment results. By monitoring the oil temperature data of oil-immersed electrical equipment, it is helpful to grasp the dynamic changes of the core temperature of the oil-immersed electrical equipment in real time, accurately capture abnormal oil temperature fluctuations, and ensure timely intervention and analysis in the early stages of oil temperature deviation from the normal range.

[0017] Finally, substation operation and maintenance risk monitoring: If no substation operation and maintenance risk assessment is conducted, then a substation operation and maintenance data update accuracy assessment is conducted; otherwise, substation operation and maintenance safety optimization is conducted. If the substation operation and maintenance data update accuracy assessment is qualified, then continuous status monitoring of update accuracy is conducted; otherwise, based on the substation operation and maintenance data update accuracy optimization results, a substation operation and maintenance early warning assessment is determined. Substation operation and maintenance safety optimization refers to improving the heat dissipation efficiency of oil-immersed electrical equipment by dynamically optimizing the substation cooling fan speed and the substation cooling medium circulation flow, thereby reducing the risk of high-temperature operation. Dynamic optimization of substation cooling fan speed is used to enhance the heat dissipation capacity of oil-immersed electrical equipment by precisely adjusting the fan speed. Dynamic optimization of substation cooling medium circulation flow is used to improve the heat exchange efficiency of oil-immersed electrical equipment by reasonably adjusting the substation cooling medium circulation flow. Substation operation and maintenance data update accuracy optimization is used to improve the consistency between oil temperature data updates and actual oil temperature data. Through substation operation and maintenance risk monitoring, it is helpful to comprehensively assess the risk of high-temperature operation and take targeted substation operation and maintenance safety optimization measures to ensure that the probability of failure of oil-immersed electrical equipment caused by high temperature is reduced.

[0018] It should be noted that before designing the substation operation and maintenance management method provided in this application, a database storing various preset data is established. The database includes, but is not limited to, standard heat dissipation rate of oil-immersed electrical equipment, standard operating temperature value of oil-immersed electrical equipment, standard heat dissipation parameters of oil-immersed electrical equipment, standard accuracy rate of oil temperature data update, threshold for accuracy of substation operation and maintenance data update, threshold for time-series correction intensity of operation and maintenance data, and threshold for early warning of substation operation and maintenance, etc. Among them, various preset values ​​are directly set by technical personnel.

[0019] In this embodiment, oil-immersed electrical equipment, such as oil-immersed transformers, oil-immersed reactors, and oil-immersed high-voltage switches, are the core equipment of the substation. Their stable operation is directly related to the overall power supply reliability of the substation. Their operation and maintenance quality occupies a fundamental and decisive position in the operation and maintenance of the substation. High-temperature failures of oil-immersed electrical equipment may cause power outages and affect the safe operation of the entire power grid. Therefore, the accuracy and timeliness of the operation and maintenance of oil-immersed electrical equipment are the core links of the substation operation and maintenance system.

[0020] Through the combined efforts of oil-immersed electrical equipment heat dissipation rate monitoring, oil temperature data monitoring, and substation operation and maintenance risk monitoring, these systems mutually influence each other. Oil-immersed electrical equipment heat dissipation rate monitoring provides a foundation for subsequent oil temperature data monitoring, offering a crucial basis for assessing the heat dissipation performance of oil-immersed electrical equipment, particularly addressing potential degradation in heat dissipation capacity during high-load periods or under high-temperature environments. Conversely, the accuracy of oil temperature data monitoring directly impacts the reliability of substation operation and maintenance risk assessment; deviations in oil temperature data can lead to misjudgments of overheating risks, thereby affecting the accuracy of operation and maintenance. Substation operation and maintenance risk monitoring, by dynamically adjusting the cooling fan and cooling medium circulation flow parameters, ensures the safety of the oil-immersed electrical equipment itself and creates a stable power grid environment for the operation and maintenance of other equipment. For example, if an oil-immersed electrical equipment trips due to high temperature, it may trigger a chain reaction in related equipment, forming a closed-loop management system. This ensures the safe operation of oil-immersed electrical equipment under complex conditions and lays the foundation for the operation and maintenance of other equipment in the substation through its stable state, thus improving the overall timeliness of operation and maintenance response for oil-immersed electrical equipment in the substation.

[0021] like Figure 2 The diagram shown is a general overview flowchart of a substation operation and maintenance management method provided by an embodiment of the present invention. Figure 2It can be seen that during the operation and maintenance management of oil-immersed electrical equipment in substations, the heat dissipation rate of the oil-immersed electrical equipment is assessed, and an assessment index is obtained. It is then determined whether the assessment index is lower than a preset safety threshold for the heat dissipation rate. If so, the oil temperature data is uploaded to the substation operation and maintenance management center for continuous monitoring. Otherwise, an oil temperature deviation assessment is performed, and an oil temperature deviation index is obtained. It is then determined whether the oil temperature deviation index is lower than a preset safety threshold for high-temperature interference. If so, an operation and maintenance compliance notification is sent. Otherwise, the corresponding oil temperature data is marked as risky oil temperature data, and a substation operation and maintenance risk assessment is conducted to obtain a substation operation and maintenance risk assessment index. It is then determined whether the substation operation and maintenance risk assessment index is lower than a preset substation operation and maintenance risk assessment threshold. If so, a substation operation and maintenance data update accuracy assessment is performed. Conversely, if the substation's operation and maintenance safety is not optimized, then substation operation and maintenance safety optimization is implemented. This optimization involves dynamically optimizing the substation's cooling fan speed and cooling medium circulation flow rate in sequence. After the substation operation and maintenance risk assessment is passed, the accuracy of substation operation and maintenance data updates is assessed, and the substation operation and maintenance data update accuracy deviation index is obtained. It is then determined whether the substation operation and maintenance data update accuracy deviation index is less than the preset substation operation and maintenance data update accuracy threshold. If so, continuous status monitoring of update accuracy is performed. Otherwise, substation operation and maintenance data update accuracy optimization is implemented. If the substation operation and maintenance data update accuracy assessment is passed after optimization, continuous status monitoring of update accuracy is performed. Otherwise, substation operation and maintenance early warning assessment is conducted, and the substation operation and maintenance early warning assessment index is obtained. It is then determined whether the substation operation and maintenance early warning assessment index is greater than the preset substation operation and maintenance early warning threshold. If so, a level-one substation operation and maintenance delay early warning is sent; otherwise, a level-two substation operation and maintenance delay early warning is sent.

[0022] Furthermore, the specific process for evaluating the heat dissipation rate of oil-immersed electrical equipment is as follows: The deviation between the standard heat dissipation rate and the actual heat dissipation rate monitored in real time is quantified to obtain the evaluation index for the heat dissipation rate of the oil-immersed electrical equipment. The average heat dissipation rate at a preset location of the oil-immersed electrical equipment within a preset time period, detected by thermocouple temperature sensors, is used as the actual heat dissipation rate. The standard heat dissipation rate is represented by the average heat dissipation rate over historical time periods. It is then determined whether the evaluation index for the heat dissipation rate of the oil-immersed electrical equipment is less than a preset safety threshold for the heat dissipation rate. This preset safety threshold is represented by the average value of the evaluation index over historical time periods. If so, the oil temperature data of the oil-immersed electrical equipment is uploaded to the substation operation and maintenance management center for continuous monitoring; otherwise, an oil temperature deviation evaluation is performed.

[0023] Specifically, the process for assessing the oil temperature deviation of oil-immersed electrical equipment is as follows: Obtaining the oil temperature deviation index: This is obtained by quantifying the deviation between the actual operating temperature value of the oil-immersed electrical equipment detected by thermocouple sensors and the standard operating temperature value. The standard operating temperature value is represented by the average of the operating temperatures of oil-immersed electrical equipment over a historical period. The oil temperature deviation index reflects the degree of interference of the heat dissipation conditions of the oil-immersed electrical equipment on the oil temperature measurement data. Determining whether the oil temperature deviation index is less than the preset high-temperature interference safety threshold for oil-immersed electrical equipment, which is pre-set by designated personnel, if yes, a maintenance compliance notification is sent; otherwise, the corresponding oil temperature data is marked as risky oil temperature data, and a substation maintenance risk assessment is conducted.

[0024] In this embodiment, by quantitatively calculating the heat dissipation rate of oil-immersed electrical equipment and judging the safety threshold of the heat dissipation rate of oil-immersed electrical equipment, it is helpful to identify potential risks from the source of the heat dissipation performance of oil-immersed electrical equipment. This not only ensures that unnecessary oil temperature deviation assessment processes are reduced when the heat dissipation capacity is normal, thereby improving the efficiency of substation operation and maintenance, but also avoids equipment failure caused by the continuous rise in oil temperature due to the failure to intervene in time when the heat dissipation rate of oil-immersed electrical equipment is abnormal. This improves the accuracy of the heat dissipation status assessment of oil-immersed electrical equipment and the pertinence of operation and maintenance response.

[0025] By quantitatively calculating the oil temperature deviation of oil-immersed electrical equipment and judging the high-temperature interference safety threshold of oil-immersed electrical equipment, it is helpful to accurately identify the degree of interference of oil temperature measurement data with heat dissipation conditions. This not only ensures the timely capture and risk assessment of abnormal oil temperature deviations, providing reliable high-risk data for subsequent substation operation and maintenance risk assessment, but also avoids misjudging the equipment operating status due to oil temperature measurement distortion caused by heat dissipation interference, reducing unnecessary operation and maintenance interventions and improving the accuracy of oil temperature deviation assessment and the scientific nature of operation and maintenance decisions for oil-immersed electrical equipment.

[0026] Furthermore, the specific process of substation operation and maintenance risk assessment is as follows: First, SS1, the deviation quantification result is obtained by quantifying the deviation between the safety parameters of oil-immersed electrical equipment and the preset standard heat dissipation parameters of oil-immersed electrical equipment; SS2, the deviation quantification result is weighted and processed with the corresponding weighted values ​​of the operating parameters of oil-immersed electrical equipment to obtain the weighted deviation value of the operation of oil-immersed electrical equipment.

[0027] Specifically, the expression for the weighted value of the load rate deviation of oil-immersed electrical equipment is F1(H) = H = 1, 2, ..., G, where H represents the number of the preset analysis time period, G is the total number of preset analysis time periods, F1(H) represents the weighted value of the load rate deviation of oil-immersed electrical equipment in the Hth preset analysis time period, F(H) represents the load rate deviation value of oil-immersed electrical equipment in the Hth preset analysis time period, and F(0) represents the standard load rate deviation value of oil-immersed electrical equipment. The difference between the actual load rate of oil-immersed electrical equipment, such as oil-immersed transformers, monitored by current transformers within the preset time period and the standard load rate of oil-immersed electrical equipment is taken as the load rate deviation value of oil-immersed electrical equipment. Q1 represents the weight of the load rate deviation of oil-immersed electrical equipment. The preset analysis time period represents the time period for substation operation and maintenance risk assessment. The units of the load rate deviation value of oil-immersed electrical equipment and the standard load rate deviation value of oil-immersed electrical equipment are both unitless.

[0028] Specifically, the expression for the weighted value of energy consumption deviation of oil-immersed electrical equipment is N1(H) = N1(H) represents the weighted value of energy consumption deviation of oil-immersed electrical equipment in the Hth preset analysis period, N(H) represents the energy consumption deviation value of oil-immersed electrical equipment in the Hth preset analysis period, and N(0) represents the standard energy consumption deviation value of oil-immersed electrical equipment. The energy consumption of each oil-immersed electrical equipment is monitored by smart meters within the preset period, and the difference between its average value and the standard energy consumption of oil-immersed electrical equipment is used as the energy consumption deviation value of oil-immersed electrical equipment. Q2 represents the load rate deviation weight of oil-immersed electrical equipment. The units of the load rate deviation value of oil-immersed electrical equipment and the standard load rate deviation value of oil-immersed electrical equipment are both kilowatt-hours.

[0029] Specifically, the weighted expression for the oil temperature deviation index of substandard oil-immersed electrical equipment is R1(H) = R1(H) represents the weighted value of the oil temperature deviation index of the unqualified oil-immersed electrical equipment in the Hth preset analysis time period, R(H) represents the oil temperature deviation index of the unqualified oil-immersed electrical equipment in the Hth preset analysis time period, R(0) represents the standard oil temperature deviation index of the oil-immersed electrical equipment, and the oil temperature deviation index of the oil-immersed electrical equipment that is not less than the preset high temperature interference safety threshold of the oil-immersed electrical equipment is used as the oil temperature deviation index of the unqualified oil-immersed electrical equipment, and Q3 represents the weight of the oil temperature deviation index of the unqualified oil-immersed electrical equipment.

[0030] Secondly, SS3 is used to obtain the substation operation and maintenance risk assessment index by multi-converging the weighted deviation values ​​of oil-immersed electrical equipment operation, which reflects the effect of safety parameters of oil-immersed electrical equipment on the high-temperature operation risk of oil-immersed electrical equipment.

[0031] The substation operation and maintenance risk assessment index is obtained through the following methods: B(H) = F1(H) + N1(H) + R1(H) In the formula, B(H) represents the substation operation and maintenance risk assessment index for the Hth preset analysis time period.

[0032] The safety parameters for oil-immersed electrical equipment include the load rate deviation, energy consumption deviation, and oil temperature deviation index for substandard oil-immersed electrical equipment. The preset standard heat dissipation parameters for oil-immersed electrical equipment include the load rate deviation, energy consumption deviation, and oil temperature deviation index. The load rate deviation is represented by the average of historical load rate deviations, energy consumption deviations, and oil temperature deviations. The oil temperature deviation index for substandard oil-immersed electrical equipment is represented by the average of historical load rate deviations, energy consumption deviations, and oil temperature deviations. The weighted operational deviation values ​​for oil-immersed electrical equipment include the weighted values ​​for load rate deviation, energy consumption deviation, and oil temperature deviation index for substandard oil-immersed electrical equipment.

[0033] SS4 determines whether the substation operation and maintenance risk assessment index is less than the preset substation operation and maintenance risk assessment threshold. If so, a substation operation and maintenance data update accuracy assessment is performed; otherwise, substation operation and maintenance safety optimization is adopted. The preset substation operation and maintenance risk assessment threshold is represented by the average value of the historical substation operation and maintenance risk assessment index.

[0034] It should be added that the weighted values ​​of the operating parameters of oil-immersed electrical equipment include the weight of the load rate deviation, the weight of the energy consumption deviation, and the weight of the oil temperature deviation index of unqualified oil-immersed electrical equipment. These are used to reflect the degree of influence of the safety parameters of oil-immersed electrical equipment on the weighted deviation value of the operation of oil-immersed electrical equipment. In the embodiments of this application, there is a mapping group obtained from the database. This mapping group contains a mapping set, which is preset by professional technicians. The mapping relationship adopts a one-to-one correspondence or many-to-one form to accurately reflect the degree of influence of different parameters on the weighted deviation value of the operation of oil-immersed electrical equipment under different working conditions.

[0035] Specifically, by establishing a mapping relationship between the quantified deviation results of the safety parameters of oil-immersed electrical equipment and the preset standard heat dissipation parameters of oil-immersed electrical equipment and the weighted values ​​of the operating parameters of oil-immersed electrical equipment, the weight ratio is represented by the 0-1 value range. When the substation operation and maintenance management center receives the quantified deviation results of the safety parameters of oil-immersed electrical equipment and the preset standard heat dissipation parameters of oil-immersed electrical equipment, it can quickly retrieve the corresponding weighted values ​​of the operating parameters of oil-immersed electrical equipment from the pre-constructed mapping group, thereby accurately quantifying the influence of each safety parameter of oil-immersed electrical equipment on the weighted deviation value of the operation of oil-immersed electrical equipment, and improving the accuracy and adaptability of substation operation and maintenance risk assessment.

[0036] In this embodiment, the various parameters involved in substation operation and maintenance risk assessment are closely related, and their synergistic effect is crucial for assessing the high-temperature operation risk of oil-immersed electrical equipment. The quantified deviation results between the safety parameters of oil-immersed electrical equipment and the preset standard heat dissipation parameters are combined with the weighted values ​​of the corresponding operating parameters of oil-immersed electrical equipment to transform them into quantifiable weighted deviation values ​​for oil-immersed electrical equipment operation. Specifically, the larger the weighted deviation value for oil-immersed electrical equipment operation, the greater the impact on the high-temperature operation risk, resulting in a greater fluctuation in the substation operation and maintenance risk assessment index. Through multi-dimensional fusion quantification, a standardized mapping of multi-dimensional safety parameters is achieved, effectively avoiding the one-sidedness of single-parameter assessment.

[0037] By analyzing the correlation of parameters in substation operation and maintenance risk assessment, the comprehensive impact of multiple parameters on high-temperature operation risk can be accurately captured. The load rate deviation and energy consumption deviation of oil-immersed electrical equipment are generally positively correlated; that is, a larger load rate deviation indicates a heavier operating load, which may lead to an increase in energy consumption deviation. When both load rate and energy consumption deviations increase, the heat generated by the oil-immersed equipment increases, potentially leading to higher oil temperatures. This, in turn, increases the oil temperature deviation of substandard oil-immersed equipment, which in turn affects the operating status of the equipment, potentially further exacerbating energy consumption deviations, creating a vicious cycle and ultimately raising the substation operation and maintenance risk assessment index. Correlation analysis of these parameters helps quantify the high-temperature operation risk of oil-immersed equipment, improving the comprehensiveness and accuracy of substation operation and maintenance risk assessment, and providing a reliable decision-making basis for optimizing substation operation and maintenance safety.

[0038] like Figure 3 The diagram shown is a substation operation and maintenance safety optimization logic diagram of a substation operation and maintenance management method provided in an embodiment of the present invention. Figure 3 It can be seen that: substation operation and maintenance safety optimization means performing dynamic optimization of substation cooling fan speed and dynamic optimization of substation cooling medium circulation flow in sequence; the specific process of substation cooling fan speed dynamic optimization is as follows: obtain a qualified cooling fan speed adjustment value, use the magnitude corresponding to the qualified cooling fan speed adjustment value as the adjustment step size, and gradually increase the cooling fan speed. When the substation operation and maintenance risk assessment index is detected to be less than the preset substation operation and maintenance risk assessment threshold, the execution is stopped, and the cooling fan speed does not exceed the preset cooling fan speed adjustment threshold. After the substation cooling fan speed dynamic optimization is completed, if the substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, then the substation cooling medium circulation flow dynamic optimization is adopted; otherwise, the substation operation and maintenance data update accuracy assessment is performed.

[0039] Specifically, the process of dynamically optimizing the cooling medium circulation flow rate in a substation is as follows: A qualified cooling medium circulation flow rate adjustment value is obtained. The cooling medium circulation flow rate is gradually increased step-by-step using the magnitude corresponding to the qualified cooling medium circulation flow rate adjustment value. When the substation operation and maintenance risk assessment index is detected to be less than the preset substation operation and maintenance risk assessment threshold, execution is stopped, and the cooling medium circulation flow rate does not exceed the preset cooling medium circulation flow rate adjustment threshold. After the dynamic optimization of the substation cooling medium circulation flow rate is completed, if the re-obtained substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, an optimization alarm is sent; otherwise, a substation operation and maintenance data update accuracy assessment is performed.

[0040] Furthermore, the substation operation and maintenance safety optimization sequentially performs dynamic optimization of substation cooling fan speed and substation cooling medium circulation flow. Through the orderly coordination of these two dynamic optimizations, and based on the dynamic adjustment logic of the substation operation and maintenance risk assessment index, combined with threshold judgments, the substation operation and maintenance safety optimization achieves step-by-step precise adjustment of fan speed and cooling medium flow, forming a progressive heat dissipation efficiency improvement mechanism. This not only reduces the high-temperature operation risk of oil-immersed electrical equipment in a timely manner when operation and maintenance risks exceed limits through step-by-step optimization, avoiding the limitations of a single optimization method, but also... Over-threshold control prevents resource waste or equipment damage caused by excessive adjustments, ensuring the safe operation of oil-immersed electrical equipment within a controllable risk range. It also lays a stable foundation for subsequent substation operation and maintenance data update accuracy assessment. The specific process of dynamic optimization of substation cooling fan speed is as follows: The substation operation and maintenance risk assessment index, cooling fan speed, and cooling fan surface heat flux density are input into the cooling fan speed dynamic correction set in the database for correction. A preset cooling fan speed correction ratio is obtained. The database contains a correction set that reflects the substation operation and maintenance risk assessment index, cooling fan speed, and cooling fan surface heat flux density. The system establishes a correlation between combined heat flux density data and the cooling fan speed correction ratio. The cooling fan speed is monitored by a speed sensor, and the surface heat flux density of the cooling fan is monitored by a heat flux density sensor. It determines whether the preset cooling fan speed correction ratio exceeds a preset cooling fan speed adjustment threshold, which is pre-set by designated personnel. If so, an abnormal cooling fan speed correction alarm is sent; otherwise, the corresponding preset cooling fan speed correction ratio is marked as a qualified cooling fan speed adjustment value. Using the magnitude corresponding to the qualified cooling fan speed adjustment value as the adjustment step size, the cooling fan speed is gradually increased. When an abnormal correction ratio is detected... When the substation operation and maintenance risk assessment index is less than the preset substation operation and maintenance risk assessment threshold, the operation and maintenance shall be stopped. The preset substation operation and maintenance risk assessment threshold is represented by the average value of the substation operation and maintenance risk assessment index over a historical period. The cooling fan speed shall not exceed the preset cooling fan speed adjustment threshold, which shall be set in advance by designated personnel. After the dynamic optimization of the substation cooling fan speed is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, then the dynamic optimization of the substation cooling medium circulation flow shall be carried out. Otherwise, the accuracy of the substation operation and maintenance data update shall be assessed.

[0041] Specifically, the dynamic optimization process of substation cooling medium circulation flow is as follows: The substation operation and maintenance risk assessment index, cooling medium circulation flow, and cooling medium inlet and outlet temperature difference data are input into the cooling medium circulation flow dynamic correction set in the database for correction. A preset cooling medium circulation flow correction ratio is obtained. The database contains a correction set reflecting the correspondence between the combined data of the substation operation and maintenance risk assessment index, cooling medium circulation flow, and cooling medium inlet and outlet temperature difference data, and the cooling medium circulation flow correction ratio. The cooling medium circulation flow is monitored by an electromagnetic flowmeter, and the cooling medium inlet and outlet temperature difference data is represented by the temperature difference between the inlet and outlet pipes monitored by a temperature sensor. It is then determined whether the preset cooling medium circulation flow correction ratio is greater than the preset cooling medium flow adjustment threshold. If so, a cooling medium flow adjustment is initiated. If the medium flow correction is abnormal, an alarm will be triggered. Conversely, the corresponding preset cooling medium circulation flow correction ratio will be marked as the qualified cooling medium circulation flow adjustment value. The preset cooling medium flow adjustment threshold will be set in advance by designated personnel. The cooling medium circulation flow will be gradually increased step by step using the magnitude corresponding to the qualified cooling medium circulation flow adjustment value. When the substation operation and maintenance risk assessment index is detected to be less than the preset substation operation and maintenance risk assessment threshold, the process will stop. The cooling medium circulation flow will not exceed the preset cooling medium circulation flow adjustment threshold, which will be set in advance by designated personnel. After the dynamic optimization of the substation cooling medium circulation flow is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, an optimization alarm will be sent. Otherwise, a substation operation and maintenance data update accuracy assessment will be performed.

[0042] In this embodiment, substation operation and maintenance safety optimization achieves orderly integration of dynamic optimization of cooling fan speed and dynamic optimization of cooling medium circulation flow. By collecting real-time data such as cooling fan speed, cooling fan surface heat flux density, cooling medium circulation flow, and inlet / outlet temperature difference, and combining this with a preset correction set in the database, quantitative adjustments are achieved. This forms a closed-loop control logic of "data monitoring - threshold judgment - precise adjustment - risk feedback." Through the coordinated linkage of different heat dissipation methods, the limitations of a single optimization method are broken. With the dual constraints of preset thresholds and adjustment step sizes, the operation of cooling fans and cooling medium circulation flow is strictly controlled within a safe range. This helps avoid equipment damage and energy waste caused by over-adjustment, ensuring that oil-immersed electrical equipment always operates stably within a controllable risk range. This creates stable equipment status conditions for subsequent operation and maintenance data update accuracy assessment, improving the response efficiency of substation operation and maintenance safety management.

[0043] Furthermore, the specific process for evaluating the accuracy of substation operation and maintenance data updates is as follows: Obtain the substation operation and maintenance data update accuracy deviation index; the substation operation and maintenance data update accuracy deviation index is obtained by quantifying the deviation between the actual update accuracy rate of oil temperature data for oil-immersed electrical equipment within a preset update time period and the preset oil temperature data update standard accuracy rate in the database. Here, the preset update time period represents the time period for evaluating the accuracy of substation operation and maintenance data updates, and the preset oil temperature data update standard accuracy rate is represented by the average of the oil temperature data update accuracy rates over historical time periods; the actual update data accuracy rate is represented by the ratio of the number of oil temperature data points that match the real-time collected oil temperature data during the update within the preset update time period to the total number of actual updated data points; the substation operation and maintenance data update accuracy deviation index is used to reflect the degree of deviation between the update accuracy of the substation oil-immersed electrical equipment oil temperature operation and maintenance data and the standard update accuracy; determine whether the substation operation and maintenance data update accuracy deviation index is less than the preset substation operation and maintenance data update accuracy threshold, where the preset substation operation and maintenance data update accuracy... The threshold is represented by the average value of the substation operation and maintenance data update accuracy deviation index over a historical period. If the value is positive, continuous monitoring of update accuracy is conducted; otherwise, substation operation and maintenance data update accuracy optimization is implemented. The deviation between the actual update accuracy rate of oil temperature data for oil-immersed electrical equipment and the preset oil temperature data update standard accuracy rate is quantified through substation operation and maintenance data update accuracy assessment, forming a measurable substation operation and maintenance data update accuracy deviation index. Combined with the preset substation operation and maintenance data update accuracy threshold, precise control of oil temperature data update quality is achieved. This approach ensures data update stability through continuous monitoring when the substation operation and maintenance data update accuracy deviation index meets the standard, providing a reliable data benchmark for subsequent operation and maintenance. Furthermore, it promptly triggers substation operation and maintenance data update accuracy optimization when the index exceeds the limit, avoiding operational judgment errors caused by distorted operation and maintenance data. This effectively guarantees the authenticity and timeliness of oil temperature data as a core operational and maintenance basis, further improving the closed-loop system of substation oil-immersed electrical equipment operation and maintenance management and enhancing the overall accuracy of operation and maintenance data.

[0044] Specifically, the process for optimizing the accuracy of substation operation and maintenance data updates is as follows: The substation operation and maintenance data update accuracy deviation index and the operation and maintenance data cycle time series are input into the dynamic correction set of the operation and maintenance data update time series in the database for correction. A preset operation and maintenance data time series correction adjustment value is obtained. The database contains a correction set reflecting the correspondence between the combined data of the operation and maintenance data update accuracy deviation index and the operation and maintenance data cycle time series, and the operation and maintenance data time series correction adjustment value. The operation and maintenance data cycle time series is represented by a continuous record sequence of the actual update timestamps of oil temperature data within a preset time period. It is then determined whether the preset operation and maintenance data time series correction adjustment value is less than a preset operation and maintenance data time series correction intensity threshold, which is set in advance by designated personnel. If so, the preset operation and maintenance data time series correction adjustment value is marked as a qualified operation and maintenance data time series correction adjustment value; otherwise, an abnormal operation and maintenance data time series correction parameter alarm is sent. The qualified operation and maintenance data time series correction is then applied. The adjustment value corresponds to the adjustment step size. The actual update time stamp of the oil temperature data is gradually increased in the direction of the preset standard update time stamp. Execution stops when the accuracy deviation index of the re-acquired substation operation and maintenance data update is less than the preset substation operation and maintenance data update accuracy threshold. The number of adjustments does not exceed the preset maximum adjustment number threshold, which is set in advance by designated personnel. The substation operation and maintenance data update accuracy threshold and the preset maximum adjustment number threshold prevent data corruption caused by over-correction. Simultaneously, when the substation operation and maintenance data update accuracy optimization is ineffective, a substation operation and maintenance early warning assessment is triggered in a timely manner, ensuring the accuracy and stability of the oil temperature operation and maintenance data update. After the substation operation and maintenance data update accuracy optimization is completed, if the re-acquired substation operation and maintenance data update accuracy deviation index is still not less than the preset substation operation and maintenance data update accuracy threshold, a substation operation and maintenance early warning assessment is performed; otherwise, continuous status monitoring of the substation oil-immersed electrical equipment is performed.

[0045] In this embodiment, the accuracy optimization of substation operation and maintenance data updates is achieved by combining the accuracy deviation index of operation and maintenance data updates with the time series of operation and maintenance data cycles. Using preset time series correction adjustment values ​​in the database, and combining these with the time series correction strength threshold, the oil temperature data update timestamp is precisely adjusted step-by-step, forming a targeted data update calibration mechanism. This process can improve the accuracy of data updates through targeted adjustment of timestamps when the correction adjustment values ​​meet the standards, bringing the accuracy deviation index of operation and maintenance data updates back to within the substation operation and maintenance data update accuracy threshold. This provides reliable data support for continuous status monitoring of substation oil-immersed electrical equipment and subsequent operation and maintenance decisions, further improving the closed-loop system of operation and maintenance data management.

[0046] Furthermore, the specific process of substation operation and maintenance early warning assessment is as follows: Obtain substation operation and maintenance early warning assessment indicators to reflect the degree of deviation in timeliness from anomaly identification to substation operation and maintenance early warning; the substation operation and maintenance early warning assessment indicators are obtained by quantifying the deviation between the average actual alarm response time within a preset early warning period and the preset standard alarm response time. The preset early warning period represents the time period for substation operation and maintenance early warning assessment, and the actual alarm response time is represented by the duration from the detection of an abnormal data point at the substation to the issuance of a formal early warning information by the substation operation and maintenance management center; determine the substation operation and maintenance early warning assessment... If the estimated indicator exceeds the preset substation operation and maintenance early warning threshold, which is represented by the average value of the substation operation and maintenance early warning assessment indicator over a historical period, a Level 1 substation operation and maintenance delay warning is sent; otherwise, a Level 2 substation operation and maintenance delay warning is sent. A Level 1 substation operation and maintenance delay warning indicates a more severe delay, which may lead to a rapid escalation of risks to oil-immersed electrical equipment and will trigger emergency response procedures to curb the expansion of risks. A Level 2 substation operation and maintenance delay warning indicates a relatively milder delay in the warning response, which does not yet pose a serious threat to the safety of oil-immersed electrical equipment and is only used as a risk warning to pay attention to potential hazards.

[0047] In this embodiment, the substation operation and maintenance early warning assessment quantifies the deviation between the average actual alarm response time and the preset standard alarm response time, forming an early warning assessment index that reflects the degree of deviation in the timeliness of the early warning. Combined with the preset substation operation and maintenance early warning threshold, it realizes the graded judgment of the efficiency of operation and maintenance early warning. It can accurately distinguish the degree of lag in the substation early warning response through the graded sending of first-level and second-level delayed early warnings, avoid the expansion of faults due to the delay of substation early warnings, ensure the timeliness of substation operation and maintenance early warnings, provide a time-dimensional assessment basis for the rapid advancement of operation and maintenance decisions, and further improve the closed-loop management of substation operation and maintenance risk prevention and control.

[0048] As a second implementation method, such as Figure 4The diagram shows a substation operation and maintenance management system according to an embodiment of the present invention, comprising: an oil-immersed electrical equipment heat dissipation rate monitoring module, an oil-immersed electrical equipment oil temperature data monitoring module, and a substation operation and maintenance risk monitoring module. The oil-immersed electrical equipment heat dissipation rate monitoring module is used to assess the heat dissipation rate of the oil-immersed electrical equipment during the operation and maintenance management process, and to determine whether an oil temperature deviation assessment is needed based on the assessment results. The oil-immersed electrical equipment oil temperature data monitoring module is used to... If no oil temperature deviation assessment is performed on the oil-immersed electrical equipment, the oil temperature data of the oil-immersed electrical equipment will be uploaded to the substation operation and maintenance management center and continuously monitored. Otherwise, the substation operation and maintenance risk assessment will be used to determine whether a substation operation and maintenance risk assessment is required based on the oil temperature deviation assessment results. The substation operation and maintenance risk monitoring module is used to determine whether substation operation and maintenance data update accuracy optimization is required based on the substation operation and maintenance data update accuracy assessment results if no substation operation and maintenance risk assessment is performed. Otherwise, substation operation and maintenance safety optimization will be determined based on the substation operation and maintenance risk assessment results.

[0049] In this example, the oil-immersed electrical equipment heat dissipation rate monitoring module, the oil temperature data monitoring module, and the substation operation and maintenance risk monitoring module form a progressive operation and maintenance management closed loop through data flow and logical connection. The evaluation results of the oil-immersed electrical equipment heat dissipation rate monitoring module provide the initial judgment basis for the oil temperature data monitoring module, ensuring that potential risks are identified from the root cause of the heat dissipation performance of the oil-immersed electrical equipment. Based on the evaluation results of the heat dissipation rate of the oil-immersed electrical equipment, the oil temperature data monitoring module conducts oil temperature monitoring and deviation analysis, providing a basis for substation operation and maintenance risk assessment. The risk monitoring module provides accurate oil temperature data support; the substation operation and maintenance risk monitoring module triggers substation operation and maintenance safety optimization or operation and maintenance qualification prompts based on the substation operation and maintenance risk assessment results, realizing timely intervention in the high temperature operation risk of oil-immersed electrical equipment; the substation operation and maintenance data update accuracy assessment ensures the accuracy of operation and maintenance data after the substation operation and maintenance risk assessment is qualified, providing a reliable data foundation for the continuous optimization of the entire operation and maintenance process, thereby realizing refined management and control of the entire operation and maintenance process of oil-immersed electrical equipment in substations, and effectively improving the timeliness of operation and maintenance response of oil-immersed electrical equipment in substations.

[0050] In summary, this application embodiment assesses the heat dissipation rate of oil-immersed electrical equipment. Based on the assessment results, it determines whether an oil temperature deviation assessment is necessary. This helps to identify the risk of oil temperature fluctuations caused by abnormal heat dissipation in oil-immersed electrical equipment in advance. If an oil temperature deviation assessment is not performed, the oil temperature data is uploaded to the substation operation and maintenance management center for continuous monitoring. Otherwise, based on the oil temperature deviation assessment results, it determines whether a substation operation and maintenance risk assessment is necessary. This helps to accurately define the impact of oil temperature deviation on the operational safety of oil-immersed electrical equipment. If a substation operation and maintenance risk assessment is not performed... If the accuracy of the substation operation and maintenance data update is satisfactory, then an assessment of the substation operation and maintenance safety will be conducted. Otherwise, substation operation and maintenance safety optimization will be carried out. This helps to develop targeted risk prevention and control measures to reduce the probability of failure of oil-immersed electrical equipment. If the accuracy assessment of the substation operation and maintenance data update is satisfactory, then continuous status monitoring of the update accuracy will be carried out. Otherwise, based on the optimization results of the substation operation and maintenance data update accuracy, it will be determined whether to conduct a substation operation and maintenance early warning assessment. This helps to trigger early warning responses in a timely manner and avoid the delay in substation operation and maintenance early warnings caused by inaccurate substation operation and maintenance data updates. This improves the timeliness of operation and maintenance response for oil-immersed electrical equipment in substations and effectively solves the problem of reduced timeliness of operation and maintenance response for oil-immersed electrical equipment in substations.

[0051] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0052] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0053] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0054] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0055] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0056] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0057] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for substation operation and maintenance management, characterized in that, include: During the operation and maintenance management of oil-immersed electrical equipment in substations, the heat dissipation rate of the oil-immersed electrical equipment is evaluated, and the results of the heat dissipation rate evaluation are used to determine whether it is necessary to evaluate the oil temperature deviation of the oil-immersed electrical equipment. If the oil temperature deviation assessment of the oil-immersed electrical equipment is not performed, the oil temperature data of the oil-immersed electrical equipment shall be uploaded to the substation operation and maintenance management center and continuously monitored; otherwise, the substation operation and maintenance risk assessment shall be determined based on the oil temperature data deviation assessment results of the oil-immersed electrical equipment. If no substation operation and maintenance risk assessment is conducted, then a substation operation and maintenance data update accuracy assessment is conducted; otherwise, substation operation and maintenance safety optimization is conducted. If the substation operation and maintenance data update accuracy assessment is qualified, then continuous status monitoring of update accuracy is conducted; otherwise, based on the substation operation and maintenance data update accuracy optimization results, it is determined whether to conduct a substation operation and maintenance early warning assessment. The substation operation and maintenance safety optimization refers to improving the heat dissipation efficiency of oil-immersed electrical equipment by dynamically optimizing the substation cooling fan speed and the substation cooling medium circulation flow. The substation cooling fan speed dynamic optimization is used to enhance the heat dissipation capacity of oil-immersed electrical equipment by precisely adjusting the fan speed. The substation cooling medium circulation flow dynamic optimization is used to improve the heat exchange efficiency of oil-immersed electrical equipment by reasonably adjusting the substation cooling medium circulation flow. The substation operation and maintenance data update accuracy optimization is used to improve the consistency between the updated oil temperature data and the actual oil temperature data.

2. The substation operation and maintenance management method according to claim 1, characterized in that, The specific process for evaluating the heat dissipation rate of the oil-immersed electrical equipment is as follows: By quantifying the deviation between the standard heat dissipation rate of oil-immersed electrical equipment and the actual heat dissipation rate of oil-immersed electrical equipment monitored in real time, an evaluation index for the heat dissipation rate of oil-immersed electrical equipment is obtained. Determine whether the heat dissipation rate assessment index of oil-immersed electrical equipment is less than the preset safe threshold for heat dissipation rate of oil-immersed electrical equipment; If so, the oil temperature data of the oil-immersed electrical equipment will be uploaded to the substation operation and maintenance management center for continuous monitoring; otherwise, an assessment of the oil temperature deviation of the oil-immersed electrical equipment will be conducted.

3. A substation operation and maintenance management method according to claim 2, characterized in that, The specific process for evaluating the oil temperature deviation of the oil-immersed electrical equipment is as follows: Obtain the oil temperature deviation index for oil-immersed electrical equipment: This is obtained by quantifying the deviation between the operating temperature value of the oil-immersed electrical equipment and the operating temperature value of a standard oil-immersed electrical equipment. The oil temperature deviation index of the oil-immersed electrical equipment is used to reflect the degree of interference of the heat dissipation conditions of the oil-immersed electrical equipment on the oil temperature data of the oil-immersed electrical equipment. Determine whether the oil temperature deviation index of oil-immersed electrical equipment is less than the preset high-temperature interference safety threshold for oil-immersed electrical equipment; If yes, a maintenance qualification notification will be sent; otherwise, the corresponding oil temperature data of the oil-immersed electrical equipment will be marked as risky oil temperature data of the oil-immersed electrical equipment, and a substation maintenance risk assessment will be conducted.

4. A substation operation and maintenance management method according to claim 3, characterized in that, The specific process for the substation operation and maintenance risk assessment is as follows: SS1 obtains the deviation quantification result by quantifying the deviation between the safety parameters of oil-immersed electrical equipment and the preset standard heat dissipation parameters of oil-immersed electrical equipment; SS2 assigns weights to the deviation quantification results and the corresponding operating parameters of the oil-immersed electrical equipment to obtain the weighted deviation values ​​of the oil-immersed electrical equipment. Specifically, these include: the weighted value of the load rate deviation of the oil-immersed electrical equipment, the weighted value of the energy consumption deviation of the oil-immersed electrical equipment, and the weighted value of the oil temperature deviation index of the unqualified oil-immersed electrical equipment. SS3 is a substation operation and maintenance risk assessment index obtained by multi-factor fusion of the weighted deviation values ​​of oil-immersed electrical equipment. The safety parameters for oil-immersed electrical equipment include the load rate deviation value, energy consumption deviation value, and oil temperature deviation index of unqualified oil-immersed electrical equipment. The weighted values ​​of the operating parameters of the oil-immersed electrical equipment are used to reflect the degree of influence of the safety parameters of the oil-immersed electrical equipment on the weighted deviation value of the operation of the oil-immersed electrical equipment; The substation operation and maintenance risk assessment index is used to reflect the effect of safety parameters of oil-immersed electrical equipment on the high-temperature operation risk of oil-immersed electrical equipment; SS4, determine whether the substation operation and maintenance risk assessment index is less than the preset substation operation and maintenance risk assessment threshold: If so, an accuracy assessment of substation operation and maintenance data updates will be conducted; otherwise, substation operation and maintenance safety optimization will be implemented.

5. A substation operation and maintenance management method according to claim 4, characterized in that, The substation operation and maintenance safety optimization refers to the dynamic optimization of the substation cooling fan speed and the dynamic optimization of the substation cooling medium circulation flow rate in sequence. The specific process for dynamically optimizing the speed of the substation cooling fans is as follows: The substation operation and maintenance risk assessment index, cooling fan speed and cooling fan surface heat flux density are input into the cooling fan speed dynamic correction set in the database to correct the preset cooling fan speed correction ratio. Determine whether the preset cooling fan speed correction ratio is greater than the preset cooling fan speed adjustment threshold. If so, send a cooling fan speed correction abnormal alarm; otherwise, mark the corresponding preset cooling fan speed correction ratio as a qualified cooling fan speed adjustment value. The adjustment step size is based on the magnitude corresponding to the qualified cooling fan speed adjustment value. The cooling fan speed is increased step by step. When the substation operation and maintenance risk assessment index is detected to be less than the preset substation operation and maintenance risk assessment threshold, the operation is stopped. After the dynamic optimization of the substation cooling fan speed is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, then the dynamic optimization of the substation cooling medium circulation flow will be carried out; otherwise, the accuracy assessment of substation operation and maintenance data update will be conducted.

6. A substation operation and maintenance management method for a substation according to claim 5, characterized in that, The specific process for dynamically optimizing the cooling medium circulation flow rate in the substation is as follows: The substation operation and maintenance risk assessment index, cooling medium circulation flow rate and cooling medium inlet and outlet temperature difference data are input into the cooling medium circulation flow dynamic correction set in the database for correction, and the preset cooling medium circulation flow correction ratio is obtained. Determine whether the preset cooling medium circulation flow correction ratio is greater than the preset cooling medium flow adjustment threshold. If so, send a cooling medium flow correction abnormality alarm; otherwise, mark the corresponding preset cooling medium circulation flow correction ratio as a qualified cooling medium circulation flow adjustment value. The cooling medium circulation flow rate is gradually increased by using the magnitude corresponding to the qualified cooling medium circulation flow rate adjustment value as the adjustment step size. When the substation operation and maintenance risk assessment index is detected to be less than the preset substation operation and maintenance risk assessment threshold, the execution is stopped. After the dynamic optimization of the substation cooling medium circulation flow is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, an optimization alarm will be sent; otherwise, a substation operation and maintenance data update accuracy assessment will be performed.

7. A substation operation and maintenance management method according to claim 1, characterized in that, The specific process for assessing the accuracy of substation operation and maintenance data updates is as follows: Obtain the accuracy deviation index of substation operation and maintenance data updates; The substation operation and maintenance data update accuracy deviation index is obtained by quantifying the deviation between the actual update accuracy of oil temperature data of oil-immersed electrical equipment within a preset time period and the preset oil temperature data update standard accuracy in the database. The substation operation and maintenance data update accuracy deviation index is used to reflect the degree of deviation between the update accuracy of the oil temperature operation and maintenance data of oil-immersed electrical equipment in the substation and the standard update accuracy. Determine whether the accuracy deviation index of substation operation and maintenance data update is less than the preset substation operation and maintenance data update accuracy threshold; If so, continuous monitoring of the accuracy of the update will be carried out; otherwise, optimization of the accuracy of the substation operation and maintenance data update will be implemented.

8. A substation operation and maintenance management method according to claim 7, characterized in that, The specific process for optimizing the accuracy of substation operation and maintenance data updates is as follows: The substation operation and maintenance data update accuracy deviation index and operation and maintenance data cycle time series are input into the operation and maintenance data update time series dynamic correction set in the database for correction, and the preset operation and maintenance data time series correction adjustment value is obtained. Determine whether the preset operation and maintenance data timing correction adjustment value is less than the preset operation and maintenance data timing correction intensity threshold. If so, mark the preset operation and maintenance data timing correction adjustment value as a qualified operation and maintenance data timing correction adjustment value; otherwise, send an alarm for abnormal operation and maintenance data timing correction parameters. Using the magnitude of the time-series correction adjustment value of qualified operation and maintenance data as the adjustment step size, the timestamp value of the actual update timestamp of oil temperature data is gradually reduced in the direction of the update timestamp. When the accuracy deviation index of the re-acquired substation operation and maintenance data update is less than the preset substation operation and maintenance data update accuracy threshold, the execution is stopped. After the substation operation and maintenance data update accuracy optimization is completed, if the re-acquired substation operation and maintenance data update accuracy deviation index is still not less than the preset substation operation and maintenance data update accuracy threshold, then a substation operation and maintenance early warning assessment will be carried out; otherwise, continuous status monitoring of substation oil-immersed electrical equipment will be carried out.

9. A substation operation and maintenance management method according to claim 8, characterized in that, The specific process for the substation operation and maintenance early warning assessment is as follows: Obtain substation operation and maintenance early warning assessment indicators to reflect the degree of deviation in the timeliness of substation operation and maintenance decisions from anomaly identification to substation operation and maintenance early warning; Determine whether the substation operation and maintenance early warning assessment indicators are greater than the preset substation operation and maintenance early warning threshold; If yes, a Level 1 substation maintenance delay warning will be sent; otherwise, a Level 2 substation maintenance delay warning will be sent.

10. A substation operation and maintenance management system, employing the substation operation and maintenance management method as described in any one of claims 1-9, characterized in that, include: Oil-immersed electrical equipment heat dissipation rate monitoring module, oil temperature data monitoring module for oil-immersed electrical equipment, and substation operation and maintenance risk monitoring module: The oil-immersed electrical equipment heat dissipation rate monitoring module is used to evaluate the heat dissipation rate of oil-immersed electrical equipment during the operation and maintenance management of oil-immersed electrical equipment in substations, and to determine whether it is necessary to evaluate the oil temperature deviation of oil-immersed electrical equipment based on the evaluation results. The oil temperature data monitoring module for oil-immersed electrical equipment is used to upload the oil temperature data of the oil-immersed electrical equipment to the substation operation and maintenance management center and continuously monitor it if no oil temperature deviation assessment is performed. Otherwise, it determines whether a substation operation and maintenance risk assessment is needed based on the oil temperature data deviation assessment results. The substation operation and maintenance risk monitoring module is used to determine whether substation operation and maintenance data update accuracy optimization is needed based on the substation operation and maintenance data update accuracy assessment results if no substation operation and maintenance risk assessment is performed; otherwise, it is used to determine whether substation operation and maintenance safety optimization is needed based on the substation operation and maintenance risk assessment results.

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