Power equipment aging monitoring method, monitoring system, medium and product

Abstract

The invention discloses a power equipment aging monitoring method and system, a medium and a product, and relates to the technical field of power equipment, and the method comprises the steps: obtaining the operation load data and external environment data of the power equipment; calculating a loss value of the power equipment based on the operation duration, the load power, the environment temperature and the environment humidity; determining the aging degree of the power equipment according to the loss value and a preset accumulated loss upper limit value; when the aging degree is lower than a preset degree threshold value, determining aging influence factors of the power equipment; searching an adjustment strategy of which the correlation with the aging influence factor exceeds a preset correlation threshold in a preset adjustment strategy table; and when the aging degree exceeds a preset degree threshold, generating maintenance early warning information. By implementing the method, the aging monitoring accuracy of the power equipment is improved.

Description

Technical Field

[0001] The present application relates to the technical field of electric power equipment, and in particular to an electric power equipment aging monitoring method, monitoring system, medium and product. Background Art

[0002] As power equipment continues to operate, the impact of various external environmental factors and internal load changes on it gradually becomes apparent, leading to performance degradation and aging of power equipment. Therefore, timely monitoring and evaluation of the aging status of power equipment is of great significance to prevent sudden equipment failures, extend equipment life, and ensure the stable operation of the power system.

[0003] In related technologies, monitoring systems collect basic operating data of power equipment, such as current, voltage, temperature, etc., to analyze and evaluate the aging status of power equipment. For example, the temperature can be used to determine whether the power equipment is overheated, or the current and voltage can be used to predict potential failures of the power equipment.

[0004] Although relevant technologies can provide basic aging monitoring functions, their effectiveness is often limited when faced with complex operating environments and variable load conditions. For example, the lack of comprehensive consideration of external environmental factors makes it difficult for monitoring results to accurately reflect the true degree of aging of power equipment, leading to delays or misjudgments in maintenance decisions. Summary of the invention

[0005] The present application provides an electric power equipment aging monitoring method, monitoring system, medium and product for improving the accuracy of electric power equipment aging monitoring.

[0006] In a first aspect, the present application provides a method for monitoring the aging of power equipment, which is applied to a monitoring system, and the method includes: obtaining operating load data and external environment data of the power equipment, the operating load data including operating time and load power, and the external environment data including ambient temperature and ambient humidity; calculating the loss value of the power equipment based on the operating time, the load power, the ambient temperature and the ambient humidity; determining the aging degree of the power equipment according to the loss value and a preset cumulative loss upper limit; when the aging degree is lower than a preset degree threshold, determining the aging influencing factors of the power equipment, the aging influencing factors including the load power, the ambient temperature and / or the ambient humidity; searching for an adjustment strategy in a preset adjustment strategy table whose correlation with the aging influencing factor exceeds a preset correlation threshold; when the aging degree exceeds the preset degree threshold, generating maintenance warning information.

[0007] By adopting the above technical solution, the monitoring system comprehensively considers the operating load data (operating time, load power) and external environmental data (ambient temperature, ambient humidity) of the power equipment to calculate its loss value, and judges the degree of aging based on this, thus achieving a more comprehensive and more accurate aging status assessment. When the degree of aging is low, the monitoring system can identify specific aging influencing factors and match the corresponding adjustment strategies to achieve preventive maintenance; when the degree of aging is high, the monitoring system can generate maintenance warning information in a timely manner to avoid the equipment from running with problems. This multi-dimensional monitoring and graded response method can not only proactively prevent the acceleration of equipment aging, but also promptly detect potential failure risks, thereby improving the scientificity and reliability of power equipment management.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the loss value of the electrical equipment is calculated based on the operating time, the load power, the ambient temperature and the ambient humidity, specifically including: determining the environmental impact coefficient according to the ambient temperature and the ambient humidity; dividing the load power by the preset standard load power to obtain the load factor; multiplying the environmental impact coefficient by the load factor to determine the comprehensive impact factor; multiplying the operating time by the comprehensive impact factor to obtain the equivalent operating time; based on a preset equipment loss curve, converting the equivalent operating time into the loss value, and the equipment loss curve includes the corresponding relationship between the operating time and the loss value.

[0009] By adopting the above technical solution, first, the monitoring system determines the environmental impact coefficient based on the ambient temperature and ambient humidity. Then, the monitoring system obtains the load coefficient by the ratio of the load power to the preset standard load power, and the two are multiplied to obtain the comprehensive impact factor. The monitoring system multiplies the operating time by the comprehensive impact factor to determine the equivalent operating time that reflects the actual usage intensity. Finally, through the preset equipment loss curve, the monitoring system converts the equivalent operating time into a loss value. This loss value calculation method takes into account the superimposed influence of external environmental data and operating load data, converts qualitative analysis into quantitative indicators, makes the loss assessment of power equipment more objective and accurate, and provides a reliable basis for subsequent aging judgment.

[0010] In combination with some embodiments of the first aspect, in some embodiments, the aging degree of the power equipment is determined based on the loss value and the preset cumulative loss upper limit value, specifically including: dividing the loss value by the preset cumulative loss upper limit value to obtain an aging value; determining the aging degree of the power equipment based on the aging value and a preset aging degree correspondence table, the preset aging degree correspondence table including the aging degree corresponding to the aging value.

[0011] By adopting the above technical solution, the monitoring system determines the ratio of the loss value to the preset cumulative loss upper limit as the aging value of the power equipment, and then determines the specific aging degree based on the preset aging degree correspondence table. This aging degree assessment method not only simplifies the aging degree determination process and improves the assessment efficiency, but also establishes a unified evaluation standard, making the aging status of different power equipment at different times comparable.

[0012] In combination with some embodiments of the first aspect, in some embodiments, when the aging degree is lower than a preset degree threshold, the aging influencing factor of the power equipment is determined, and the aging influencing factor includes the load power, the ambient temperature and / or the ambient humidity, specifically including: calculating the correlation coefficient between the load power, the ambient temperature and the ambient humidity and the loss value; and determining the parameter whose correlation coefficient exceeds the preset value as the aging influencing factor.

[0013] By adopting the above technical solution, the monitoring system calculates the correlation coefficient between load power, ambient temperature, ambient humidity and loss value, and selects parameters with correlation coefficients exceeding preset values ​​as aging influencing factors, thus realizing accurate identification of key factors affecting the aging of power equipment. This data statistical method breaks through the limitations of traditional empirical judgment, can objectively reflect the actual impact of various factors on equipment aging, provides a reliable basis for the subsequent formulation of targeted adjustment strategies, and effectively improves the accuracy and effectiveness of aging prevention and control.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after the step of searching the preset adjustment strategy table for an adjustment strategy whose correlation with the aging influencing factor exceeds a preset correlation threshold, the method further includes: sorting the aging influencing factors in order of the correlation coefficients to obtain a priority list of influencing factors; and determining the priority order of the adjustment strategy based on the priority list of influencing factors.

[0015] By adopting the above technical solution, the monitoring system sorts the aging influencing factors according to the correlation coefficient, forms a priority list of influencing factors, and determines the priority order of the adjustment strategy based on this, thus achieving the optimal allocation of maintenance resources. This data-driven strategy priority management method ensures that limited maintenance resources can be used to deal with factors with greater impact first, improving maintenance efficiency and resource utilization.

[0016] In combination with some embodiments of the first aspect, in some embodiments, after the step of generating maintenance warning information when the aging degree exceeds the warning degree threshold, the method also includes: determining a replacement device for the power equipment among preset backup devices; sending a stop operation instruction to the power equipment, and sending a start operation instruction to the replacement device.

[0017] By adopting the above technical solution, when the aging degree of power equipment exceeds the warning degree threshold, the monitoring system will automatically determine the appropriate replacement equipment from the preset backup equipment, and send the corresponding operation instructions to achieve timely switching of equipment. This automated equipment switching mechanism can replace power equipment in a timely manner when there is a serious risk of aging, avoiding greater losses that may be caused by the operation of equipment with problems, while ensuring the continuity and reliability of the power supply system and effectively reducing the risk of equipment failure.

[0018] In combination with some embodiments of the first aspect, in some embodiments, when the aging degree exceeds the preset degree threshold, after the step of generating maintenance warning information, the method also includes: calculating the average load power of the power equipment in multiple preset time periods; determining the high load period and low load period of the power equipment based on the average load power; when it is detected that the current period is the high load period, obtaining the load status of other power equipment in the power supply network; according to the load status of the other power equipment, determining a load transfer plan, and the load transfer plan is used to transfer the load of the power equipment to the other power equipment.

[0019] By adopting the above technical solution, the monitoring system calculates the average load power of power equipment in different time periods, identifies high and low load periods, and analyzes the load status of other power equipment during high load periods to formulate a reasonable load transfer plan. This scheduling mechanism based on load balancing can effectively prevent a single power equipment from being in a high load state for a long time, reduce the use intensity of power equipment, and delay the aging process. At the same time, through the load coordination between power equipment, the operating efficiency and reliability of the entire power supply system are improved, and the optimal utilization of equipment resources is achieved.

[0020] In a second aspect, an embodiment of the present application provides a monitoring system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the monitoring system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, and when the above-mentioned computer program product runs on a monitoring system, the above-mentioned monitoring system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a monitoring system, enable the monitoring system to execute the method described in the first aspect and any possible implementation of the first aspect.

[0023] It is understandable that the monitoring system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By adopting the above technical solution, the monitoring system comprehensively considers the operating load data (operating time, load power) and external environmental data (ambient temperature, ambient humidity) of the power equipment to calculate its loss value, and judges the degree of aging accordingly, thus achieving a more comprehensive and more accurate aging status assessment. When the degree of aging is low, the monitoring system can identify specific aging influencing factors and match the corresponding adjustment strategies to achieve preventive maintenance; when the degree of aging is high, the monitoring system can generate maintenance warning information in a timely manner to avoid equipment running with problems. This multi-dimensional monitoring and graded response method can not only proactively prevent accelerated equipment aging, but also promptly detect potential failure risks, thereby improving the scientificity and reliability of power equipment management.

[0025] 2. By adopting the above technical solution, the monitoring system calculates the correlation coefficients between load power, ambient temperature, ambient humidity and loss value, and selects parameters with correlation coefficients exceeding preset values ​​as aging influencing factors, thus realizing accurate identification of key factors affecting aging of power equipment. This data statistical method breaks through the limitations of traditional empirical judgment, can objectively reflect the actual impact of various factors on equipment aging, provides a reliable basis for the subsequent formulation of targeted adjustment strategies, and effectively improves the accuracy and effectiveness of aging prevention and control.

[0026] 3. By adopting the above technical solution, the monitoring system calculates the average load power of power equipment in different time periods, identifies high and low load periods, and analyzes the load status of other power equipment during high load periods to formulate a reasonable load transfer plan. This scheduling mechanism based on load balancing can effectively prevent a single power equipment from being in a high load state for a long time, reduce the use intensity of power equipment, and delay the aging process. At the same time, through the load coordination between power equipment, the operating efficiency and reliability of the entire power supply system are improved, and the optimal utilization of equipment resources is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of a method for monitoring aging of electric power equipment in an embodiment of the present application; Figure 2 is another flow chart of the method for monitoring aging of electric power equipment in an embodiment of the present application; Figure 3It is a schematic diagram of the structure of a physical device of the monitoring system in the embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] The following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of the method for monitoring aging of electric power equipment in an embodiment of the present application.

[0031] S101, obtaining operation load data and external environment data of the power equipment, wherein the operation load data includes operation time and load power, and the external environment data includes ambient temperature and ambient humidity; Among them, operating load data refers to key operating parameter data that reflects the working status of power equipment, including operating time and load power. Operating time refers to the cumulative working time of the power equipment from the start of operation to the current time, and load power refers to the actual power consumption of the power equipment during operation; external environment data refers to environmental parameter data that affects the operating status of power equipment, including ambient temperature and ambient humidity. Ambient temperature refers to the air temperature around the power equipment, and ambient humidity refers to the moisture content in the air around the power equipment.

[0032] Specifically, the monitoring system collects the operating time and load power in real time through sensors installed on the power equipment. The operating time can be recorded by a cumulative timer, and the load power can be measured by a power sensor. At the same time, the monitoring system uses temperature sensors and humidity sensors to collect the ambient temperature and humidity around the power equipment.

[0033] S102, calculating the loss value of the power equipment based on the operating time, the load power, the ambient temperature and the ambient humidity; Among them, operating time refers to the cumulative working time of the power equipment from the first operation to the present, usually in hours, for example, the transformer has been running for 4 hours in total; load power refers to the power borne by the power equipment during actual operation, usually in kilowatts (kW) or megawatts (MW), for example, the load power of the transformer is 500kW; ambient temperature refers to the real-time temperature value of the operating place of the power equipment, in degrees Celsius (℃), for example, 35℃; ambient humidity refers to the relative humidity value in the operating environment of the power equipment, expressed in percentage (%), for example, relative humidity 65%; loss value refers to a quantitative indicator of the degree of performance degradation of the power equipment under specific operating conditions (operating load data and external environment data), usually in kilowatt-hours (kWh).

[0034] Specifically, first, the monitoring system adopts a specific loss calculation model (such as the iron loss and copper loss calculation formulas of the transformer, or the energy consumption calculation model of other power equipment) based on the operating time, load power, ambient temperature and ambient humidity of the power equipment, and comprehensively considers the impact of the operating time on the life of the power equipment, the impact of the load power on the heat generation and energy consumption of the power equipment, the impact of the ambient temperature on the heat dissipation efficiency of the power equipment, and the impact of the ambient humidity on the insulation performance and energy consumption of the power equipment, and finally calculates the total loss value of the power equipment under specific operating conditions.

[0035] Optionally, under normal circumstances, based on the operating time, the load power, the ambient temperature and the ambient humidity, the loss value of the electrical equipment can be calculated in the following manner, which is not limited here: determine the environmental impact coefficient based on the ambient temperature and the ambient humidity; divide the load power by the preset standard load power to obtain the load factor; multiply the environmental impact coefficient by the load factor to determine the comprehensive impact factor; multiply the operating time by the comprehensive impact factor to obtain the equivalent operating time; based on a preset equipment loss curve, convert the equivalent operating time into the loss value, and the equipment loss curve includes the corresponding relationship between the operating time and the loss value.

[0036] S103, determining the aging degree of the electric power equipment according to the loss value and a preset cumulative loss upper limit value; Among them, the preset upper limit of cumulative loss refers to the maximum loss value that the power equipment can withstand during its normal service life; the degree of aging refers to the severity of the performance degradation of the power equipment, usually expressed in the form of a percentage or grade.

[0037] Specifically, first, the monitoring system divides the calculated loss value by the preset cumulative loss upper limit to obtain a standardized aging value; then, the monitoring system converts the aging value into an aging degree according to the pre-established aging value-aging degree correspondence table. The aging degree correspondence table contains different aging degrees corresponding to different aging value intervals, such as slight aging (0-30%), moderate aging (30%-60%), severe aging (60%-90%) and dangerous aging (above 90%), and each level has corresponding management measures and early warning requirements.

[0038] Optionally, under normal circumstances, the aging degree of the power equipment can be determined based on the loss value and the preset cumulative loss upper limit value in the following manner, which is not limited here: divide the loss value by the preset cumulative loss upper limit value to obtain an aging value; determine the aging degree of the power equipment based on the aging value and a preset aging degree correspondence table, wherein the preset aging degree correspondence table includes the aging degree corresponding to the aging value.

[0039] S104: when the aging degree is lower than a preset degree threshold, determining an aging influencing factor of the electric equipment, the aging influencing factor including the load power, the ambient temperature and / or the ambient humidity; Among them, the preset degree threshold refers to the critical value of the aging degree that requires preventive maintenance measures; the aging influencing factors refer to the key parameters that have a significant impact on the aging process of power equipment.

[0040] Specifically, first, the monitoring system establishes a data analysis model, taking load power, ambient temperature and ambient humidity as independent variables, and loss value as dependent variable, and calculates the correlation coefficient between load power, ambient temperature and ambient humidity and loss value through Pearson correlation coefficient analysis method. For parameters with an absolute value of correlation coefficient greater than 0.6, the monitoring system marks them as significant influencing factors; for parameters with an absolute value of correlation coefficient between 0.3 and 0.6, the monitoring system marks them as minor influencing factors. This analysis method based on data statistics can objectively reflect the actual impact of various factors on equipment aging.

[0041] S105, searching in a preset adjustment strategy table for an adjustment strategy whose correlation with the aging influencing factor exceeds a preset correlation threshold; Among them, the preset adjustment strategy table refers to a strategy library containing various preventive maintenance measures; the adjustment strategy represents the specific improvement measures for specific aging influencing factors; the relevance refers to the degree of improvement effect of a certain adjustment strategy on specific aging influencing factors; the preset relevance threshold is the minimum relevance requirement for screening effective adjustment strategies.

[0042] Specifically, first, the monitoring system accesses the preset adjustment strategy table, which stores various adjustment strategies for different aging influencing factors, and each adjustment strategy is marked with the correlation with each aging influencing factor. Based on the identified aging influencing factors, the monitoring system screens out adjustment strategies whose correlation exceeds the preset correlation threshold (usually 0.7). For example, in cases where the load power has a significant impact, adjustment strategies such as "load balancing adjustment" and "peak and valley time scheduling" may be matched; in cases where the ambient temperature has a significant impact, adjustment strategies such as "ventilation improvement" and "cooling optimization" may be matched.

[0043] S106: When the aging degree exceeds the preset threshold, generate maintenance warning information.

[0044] Specifically, when the aging degree exceeds the preset threshold, it indicates that the power equipment may have a potential failure risk and the administrator needs to be informed. At this time, the monitoring system automatically generates maintenance warning information including equipment information (equipment number, installation location), current status (aging degree, operating parameters), risk warning (possible failure type) and recommended measures (whether it needs to be shut down for maintenance, whether it needs to replace spare equipment). The maintenance warning information is pushed to relevant maintenance personnel through SMS or email notifications to ensure that necessary maintenance measures are taken in a timely manner.

[0045] By adopting the above technical solution, the monitoring system comprehensively considers the operating load data (operating time, load power) and external environmental data (ambient temperature, ambient humidity) of the power equipment to calculate its loss value, and judges the degree of aging based on this, thus achieving a more comprehensive and more accurate aging status assessment. When the degree of aging is low, the monitoring system can identify specific aging influencing factors and match the corresponding adjustment strategies to achieve preventive maintenance; when the degree of aging is high, the monitoring system can generate maintenance warning information in a timely manner to avoid the equipment from running with problems. This multi-dimensional monitoring and graded response method can not only proactively prevent the acceleration of equipment aging, but also promptly detect potential failure risks, thereby improving the scientificity and reliability of power equipment management.

[0046] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the method for monitoring aging of electric power equipment in an embodiment of the present application.

[0047] S201, obtaining operation load data and external environment data of the power equipment, wherein the operation load data includes operation time and load power, and the external environment data includes ambient temperature and ambient humidity; For details, please refer to step S101, which will not be described in detail here.

[0048] S202, calculating the loss value of the power equipment based on the operating time, the load power, the ambient temperature and the ambient humidity; For details, please refer to step S102, which will not be described in detail here.

[0049] S203, determining the aging degree of the electric power equipment according to the loss value and a preset cumulative loss upper limit value; For details, please refer to step S103, which will not be described in detail here.

[0050] S204, calculating the correlation coefficient between the load power, the ambient temperature, the ambient humidity and the loss value; Among them, the correlation coefficient refers to a statistical indicator used to measure the degree of linear correlation between two variables. The value range is -1 to 1. The closer the absolute value is to -1, the weaker the correlation is, and the closer the absolute value is to 1, the stronger the correlation is. Load power refers to the power consumption of power equipment during actual operation.

[0051] Specifically, first, the monitoring system standardizes the collected load power, ambient temperature, ambient humidity and loss values ​​to eliminate the dimension effect. Then, the monitoring system uses the Pearson correlation coefficient calculation method to calculate the correlation coefficients between load power and loss value, ambient temperature and loss value, and ambient humidity and loss value. The calculation process involves the covariance and standard deviation of the data, and finally obtains three sets of correlation coefficient values. To ensure the reliability of the calculation results, the monitoring system will also perform a significance test, usually using a P value less than 0.05 as the significance judgment standard.

[0052] S205, determining the parameter whose correlation coefficient exceeds a preset value as the aging influencing factor; Among them, the preset value refers to the critical value of the correlation coefficient used to screen the factors affecting aging, which is usually set between 0.3 and 0.7; the correlation coefficient exceeding the preset value means that there is a significant correlation between the load power, ambient temperature and ambient humidity and the loss value.

[0053] Specifically, first, the monitoring system sets a preset value of the correlation coefficient according to the equipment type and operating characteristics. For example, it may be set to 0.4 for environmentally sensitive power equipment and 0.6 for load-sensitive power equipment. Then, the monitoring system compares the correlation coefficient of each parameter with the corresponding preset value: if the absolute value of the correlation coefficient exceeds the preset value and passes the significance test, the monitoring system determines the parameter as an aging influencing factor. The monitoring system also determines the direction of influence based on the positive and negative signs of the correlation coefficient. A positive value indicates a positive correlation (an increase in parameter leads to an increase in loss), and a negative value indicates a negative correlation (an increase in parameter leads to a decrease in loss).

[0054] S206, searching the preset adjustment strategy table for an adjustment strategy whose correlation with the aging influencing factor exceeds a preset correlation threshold; For details, please refer to step S105, which will not be described in detail here.

[0055] S207, sorting the aging influencing factors according to the order of the correlation coefficients to obtain a priority list of influencing factors; Among them, the order of correlation coefficients refers to the descending order according to the absolute value of the correlation coefficients; the aging influencing factors refer to the set of parameters that have been determined to have a significant impact on the aging of power equipment; the priority list of influencing factors refers to the result of sorting the aging influencing factors in order of correlation coefficients.

[0056] Specifically, first, the monitoring system sorts the factors according to the absolute value of the correlation coefficient from large to small, and generates a priority list of factors that include aging factors and correlation coefficients. For example, if the correlation coefficient of load power is 0.85, the correlation coefficient of ambient temperature is 0.65, and the correlation coefficient of ambient humidity is 0.45, then the priority list of factors is: load power > ambient temperature > ambient humidity. The monitoring system will also mark the impact direction (positive correlation or negative correlation) and confidence level of each aging factor to provide more detailed reference information for subsequent strategy formulation.

[0057] S208, determining the priority order of the adjustment strategy based on the priority list of influencing factors; Among them, adjustment strategy refers to the improvement measures for specific aging influencing factors; priority order refers to the order in which the adjustment strategies are implemented.

[0058] Specifically, first, the monitoring system accesses the preset adjustment strategy library and extracts all feasible adjustment strategies related to each aging influencing factor. Then, the monitoring system hierarchically sorts the corresponding adjustment strategies according to the priority list of influencing factors: for the aging influencing factors with the highest priority (such as load power with a correlation coefficient of 0.85), the corresponding adjustment strategies (such as "load balancing adjustment" and "peak and valley scheduling optimization") are given the highest execution priority; for the aging influencing factors with the second priority (such as ambient temperature with a correlation coefficient of 0.65), the corresponding adjustment strategies (such as "ventilation improvement" and "temperature control optimization") are given the second highest execution priority. The monitoring system will also consider the correlation and conflict between adjustment strategies to ensure that adjustment strategies of different priorities can be implemented in a coordinated manner. Finally, the monitoring system generates a complete strategy execution plan containing information such as the adjustment strategy name, execution priority, expected effect, and resource requirements.

[0059] S209, when the aging degree exceeds the preset degree threshold, generating maintenance warning information; For details, please refer to step S106, which will not be described in detail here.

[0060] S210, determining a replacement device for the power device among preset backup devices; Among them, preset backup equipment refers to a pre-configured set of backup equipment that can be used to replace power equipment; power equipment refers to equipment with a high degree of aging that currently needs to be replaced; replacement equipment refers to the most suitable equipment selected from the preset backup equipment to replace the current power equipment.

[0061] Specifically, first, the monitoring system obtains detailed information of all available backup devices from the preset backup devices, including device model, rated parameters, operating status, maintenance records, etc. Then, the monitoring system screens according to multiple matching conditions: first, ensure that the basic parameters of the backup equipment (such as voltage level, rated capacity) match the basic parameters of the power equipment to be replaced; second, evaluate the performance status of the backup equipment to ensure that its integrity rate meets the requirements (usually not less than 95%); finally, consider the geographical location and scheduling difficulty of the backup equipment, and give priority to backup equipment that is close and easy to schedule. The monitoring system determines the backup equipment with the highest comprehensive score as the final replacement equipment.

[0062] S211, sending a stop operation instruction to the electric power equipment, and sending a start operation instruction to the replacement equipment; Among them, the stop operation instruction refers to the control command used to safely stop the operation of the power equipment; the start operation instruction refers to the control command used to start the replacement equipment to start working; sending refers to the process of transmitting the control instruction to the target device through the communication network; the power equipment and replacement equipment respectively represent the original equipment to be stopped and the new equipment to be put into operation.

[0063] Specifically, first, the monitoring system conducts a safety assessment before switching to ensure that the switching process will not affect the stability of the power supply system. Then, the monitoring system performs operations according to the preset switching process, sends a pre-startup check instruction to the replacement device to confirm that it is in an available state, and then generates an instruction sequence containing detailed switching timing. When the switching time arrives, the monitoring system sends an orderly load reduction instruction to the original power equipment, and sends a stop operation instruction after the load drops to a safe level. At the same time, the monitoring system sends a startup preparation instruction to the replacement equipment, and sends a formal start operation instruction after it completes the self-check. During the entire switching process, the monitoring system monitors various parameters in real time to ensure smooth switching. If an abnormality is found, the monitoring system will immediately activate the emergency plan to ensure power supply reliability.

[0064] S212, calculating the average load power of the electric equipment in a plurality of preset time periods; Among them, the preset time period refers to dividing a day into several fixed time intervals, such as a period of 2 hours or dividing it according to morning, noon and evening; the average load power refers to the average power consumption of the power equipment in a specific time period.

[0065] Specifically, first, the monitoring system extracts the load data of the last 30 days according to the preset time granularity (for example, dividing 24 hours into 12 2-hour periods). Then, the monitoring system performs mathematical statistics on the load data of each preset period: first, outliers and invalid data are removed, and then the arithmetic mean, variance, and standard deviation of each preset period are calculated. The monitoring system also distinguishes between weekdays and holidays for separate statistics to obtain more accurate load characteristics.

[0066] S213, determining a high load period and a low load period of the electric power equipment according to the average load power; The high load period refers to a preset period when the average load power exceeds a preset load threshold; the low load period refers to a preset period when the average load power is lower than the preset load threshold.

[0067] Specifically, first, the monitoring system calculates the average load power of 24 hours a day as a benchmark value to determine high-load periods and low-load periods: usually, the period that exceeds the benchmark value by 20% is determined as a high-load period, and the period that is 20% lower than the benchmark value is determined as a low-load period. The monitoring system will take into account the seasonal variation of the load and may use different judgment thresholds for different seasons.

[0068] S214, when it is detected that the current period is the high load period, obtaining the load status of other power equipment in the power supply network; Among them, the power supply network refers to the distribution system composed of interconnected power equipment; other power equipment refers to other available equipment in the same power supply network as the power equipment; the load status refers to the current power usage level and remaining capacity of other power equipment.

[0069] Specifically, first, the monitoring system confirms whether the current period is a high-load period. If so, the network load status scanning program is started. The monitoring system collects information about all other power equipment that can participate in load allocation in the same power supply network in real time through the communication network, including the current load rate, rated capacity, operating status, etc. At the same time, the monitoring system will evaluate the reliability and stability of these other power equipment and exclude equipment that is not suitable for bearing additional loads.

[0070] S215. Determine a load transfer scheme according to the load status of the other power equipment, where the load transfer scheme is used to transfer the load of the power equipment to the other power equipment.

[0071] Among them, the load transfer plan refers to the specific implementation plan that details how to redistribute the load; transfer refers to the process of transferring part of the load from high-load equipment to other equipment; other power equipment refers to a set of alternative equipment that can take on additional load.

[0072] Specifically, first, the monitoring system establishes a load transfer optimization model, taking into account multiple constraints: equipment rated capacity limit, load balancing requirements, transmission loss minimization, etc. Then, the monitoring system calculates the best load transfer plan through the optimization algorithm, including: the size of the load to be transferred, the selection of the target equipment, the transfer timing arrangement, etc. The monitoring system will also generate an emergency plan to deal with abnormal situations that may occur during the transfer process. The final load transfer plan will include detailed execution steps, time nodes, monitoring requirements and emergency measures to ensure the safety and smoothness of the load transfer process.

[0073] The monitoring system in the embodiment of the present invention is described below from the perspective of hardware processing. Figure 3 , is a schematic diagram of a physical device structure of a monitoring system in an embodiment of the present application.

[0074] It should be noted that Figure 3 The structure of the monitoring system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0075] like Figure 3 As shown, the monitoring system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, the ROM 302 and the RAM 303 are connected to each other through the bus 304. The input / output (I / O) interface 305 is also connected to the bus 304.

[0076] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0077] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0078] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0079] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0080] Specifically, the monitoring system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the power equipment aging monitoring method provided in the above embodiment is implemented.

[0081] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the monitoring system described in the above embodiment; or may exist independently without being assembled into the monitoring system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the monitoring system, the monitoring system implements the power equipment aging monitoring method provided in the above embodiment.

[0082] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0083] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0084] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A method for monitoring aging of electric power equipment, characterized in that: Applied to a monitoring system, the method comprises: Acquire operation load data and external environment data of the power equipment, wherein the operation load data includes operation time and load power, and the external environment data includes ambient temperature and ambient humidity; Calculating a loss value of the power equipment based on the operating time, the load power, the ambient temperature, and the ambient humidity; Determining the aging degree of the power equipment according to the loss value and a preset cumulative loss upper limit value; When the aging degree is lower than a preset degree threshold, determining aging influencing factors of the power equipment, the aging influencing factors including the load power, the ambient temperature and / or the ambient humidity; Searching in a preset adjustment strategy table an adjustment strategy whose correlation with the aging influencing factor exceeds a preset correlation threshold; When the aging degree exceeds the preset degree threshold, maintenance warning information is generated.

2. The method according to claim 1, characterized in that The calculating the loss value of the power equipment based on the operating time, the load power, the ambient temperature and the ambient humidity specifically includes: Determining an environmental impact coefficient according to the ambient temperature and the ambient humidity; Dividing the load power by a preset standard load power to obtain a load factor; Multiplying the environmental impact coefficient by the load coefficient to determine a comprehensive impact factor; Multiplying the running time by the comprehensive impact factor to obtain an equivalent running time; The equivalent operating time is converted into the loss value based on a preset equipment loss curve, wherein the equipment loss curve includes a corresponding relationship between the operating time and the loss value.

3. The method according to claim 1, characterized in that Determining the aging degree of the power equipment according to the loss value and the preset cumulative loss upper limit value specifically includes: Dividing the loss value by the preset cumulative loss upper limit value to obtain an aging value; The aging degree of the electric equipment is determined based on the aging value and a preset aging degree correspondence table, wherein the preset aging degree correspondence table includes aging degrees corresponding to the aging value.

4. The method according to claim 1, characterized in that: When the aging degree is lower than a preset degree threshold, determining the aging influencing factors of the power equipment, wherein the aging influencing factors include the load power, the ambient temperature and / or the ambient humidity, specifically includes: Calculating the correlation coefficient between the load power, the ambient temperature, the ambient humidity and the loss value; The parameter whose correlation coefficient exceeds a preset value is determined as the aging influencing factor.

5. The method according to claim 4, characterized in that After the step of searching the preset adjustment strategy table for an adjustment strategy whose correlation with the aging influencing factor exceeds a preset correlation threshold, the method further includes: Sorting the aging influencing factors according to the order of the correlation coefficients to obtain a priority list of influencing factors; Based on the priority list of influencing factors, the priority order of the adjustment strategies is determined.

6. The method according to claim 1, characterized in that After the step of generating maintenance warning information when the aging degree exceeds the warning degree threshold, the method further includes: Determine, among the preset backup equipment, a replacement equipment for the power equipment; A stop operation instruction is sent to the electric power device, and a start operation instruction is sent to the replacement device.

7. The method according to claim 1, characterized in that After the step of generating maintenance warning information when the aging degree exceeds the preset degree threshold, the method further includes: Calculating the average load power of the electrical equipment during a plurality of preset time periods; Determining a high load period and a low load period of the electric equipment according to the average load power; When detecting that the current period is the high-load period, obtaining the load status of other power equipment in the power supply network; A load transfer scheme is determined according to the load status of the other electrical equipment, where the load transfer scheme is used to transfer the load of the electrical equipment to the other electrical equipment.

8. A monitoring system, characterized in that: The monitoring system comprises: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors call the computer instructions so that the monitoring system executes the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a monitoring system, the monitoring system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is executed on a monitoring system, the monitoring system is caused to execute the method according to any one of claims 1 to 7.

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