A fault detection method for a switch distribution cabinet and related equipment

Abstract

The present application provides a fault detection method and related equipment for a switch distribution cabinet. The fault detection method includes: obtaining the operating electrical data of the switch equipment in each area of ​​the switch distribution cabinet and the preset load weight of each area; using an optical fiber temperature sensing device to obtain a set of thermal signal information of the switch distribution cabinet; obtaining the regional detection level of each area based on the operating electrical data of the switch equipment in each area and the thermal signal information of each switch equipment in the switch distribution cabinet; identifying the key areas of the switch distribution cabinet in the current detection cycle based on the regional detection level of each area and the corresponding preset load weight; generating prompt information based on the operating electrical data and temperature information of the key areas, sending it to the central control device and displaying it. The present application can more comprehensively evaluate the operating status of the equipment, thereby improving the accuracy of fault detection; the regional detection level reflects the operating status of the equipment, thereby rationally allocating inspection and operation resources.

Description

Technical Field

[0001] The present application relates to the technical field of electrical fault detection and Internet of Things power operation and maintenance, and in particular to a fault detection method for a switch distribution cabinet and related equipment. Background Art

[0002] With the rapid development of power systems, switchgear, as an important control and protection equipment in power systems, has various fault forms.

[0003] Traditional methods for detecting faults in switchgear and distribution cabinets rely primarily on regular on-site inspections to check and measure electrical variables, or on setting alarm constraints for measured electrical variables, triggering alerts only when the constraints are fully met. However, this approach, with its constraints, detects and issues alerts only after a fault has occurred, resulting in a significant lag. Similarly, manual inspections can only be conducted according to a routine inspection schedule and fail to reflect the focus on multiple switchgear and distribution cabinets.

[0004] Based on this, the present application provides an information transmission system and a distribution cabinet production line for distribution cabinet production to solve the above problems. Summary of the Invention

[0005] In order to solve the above technical problems, this application proposes a fault detection method and related equipment for a switch distribution cabinet. In order to achieve the above purpose, this application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a fault detection method for a switch distribution cabinet, the method comprising:

[0007] Obtain the operating electrical data of the switchgear in each area of ​​the switch distribution cabinet and the preset load weight of each area;

[0008] Using an optical fiber temperature sensing device to obtain a thermal signal information set of a switch distribution cabinet, each thermal signal information in the thermal signal information set is used to indicate the temperature change state of each switch device in the switch distribution cabinet;

[0009] Obtain the regional detection level of each area based on the operating electrical data of the switchgear in each area and the thermal signal information of each switchgear in the switch distribution cabinet;

[0010] Based on the regional detection level of each area and the corresponding preset load weight, the key areas of the switch distribution cabinet in the current detection cycle are identified; prompt information is generated based on the operating power data and temperature information of the key areas, sent to the central control device and displayed; the operating power data and temperature information are also used to generate inspection plan information for the next inspection cycle.

[0011] The beneficial effects of this technical solution are that, on the one hand, a model that considers operating electrical data and thermal signal information is established through regional detection level assessment to evaluate the operating status of equipment in the area. The operating electrical data and thermal signal information are expressed as standardized indicator values ​​of the regional detection level, reflecting their impact on fault detection and achieving quantitative assessment. On the other hand, the regional detection level is combined with the preset load weight to calculate the fault risk value of each area; prompt information containing operating electrical data and temperature information of key areas is generated and sent to the central control device for display to assist in operation and maintenance decision-making; the central control device generates an inspection plan for the next inspection cycle based on the prompt information, which can highlight key equipment and areas and reasonably arrange inspection routes and tasks.

[0012] In summary, operating electrical data reflects the switchgear's electrical performance and load conditions, while thermal signal information reflects its thermal state. By comprehensively considering both aspects of information to obtain a quantifiable regional detection level, we can more comprehensively assess the equipment's operating status, thereby improving fault detection accuracy. Combining regional detection levels with preset load weights that emphasize regional importance can accurately identify key areas, allowing for the rational allocation of inspection and maintenance resources and improving inspection and maintenance efficiency. Prompt information provides detailed operating status data for key areas. Inspection plans developed based on this data can more effectively target inspection and maintenance of key areas, thereby improving inspection efficiency.

[0013] In some possible implementations, the preset load weight is obtained by:

[0014] Using a central control device to obtain design information of a switch distribution cabinet, and obtaining switchgear information and area information in the switch distribution cabinet based on the design information;

[0015] Based on the switchgear information, the comprehensive load factor of each type of switchgear in the switch distribution cabinet is obtained from the database of the central control device; the database here refers to the database set up in the central control device, which is convenient for overall updating;

[0016] According to the comprehensive load factor and regional information, the weight data of each area in the switch distribution cabinet is obtained and used as the preset load weight.

[0017] The beneficial effect of this technical solution is that it uses the central control device to obtain the design information of the switch distribution cabinet and clarify the connection and control logic of each electrical device in the distribution cabinet. Based on this, the switch equipment information and regional information are extracted. According to the switch equipment information, the comprehensive load coefficient of each type of switch equipment is obtained from the database of the central control device to reflect the load condition of the equipment within the preset time period. Combining the comprehensive load coefficient with the regional information, the preset load weight of each area in the switch distribution cabinet is calculated. It is used to reflect the importance of each area in the overall system while taking into account the equipment type and combination. It realizes a comprehensive assessment of the regional load status, solves the problem in related technologies that the equipment type and combination are not fully considered, resulting in difficulty in comprehensively assessing the regional load condition, and thus can more accurately identify potential faults.

[0018] In some possible implementations, the comprehensive load factor may be obtained by:

[0019] Obtain the corresponding relationship between operating time, operating electrical data and comprehensive load factor;

[0020] In a preset operation cycle, the actual operation time and actual operation electrical data of the switch device are obtained; and the comprehensive load factor is calculated based on the actual operation time and the actual operation electrical data through their corresponding relationship.

[0021] The beneficial effect of this technical solution is that, for multiple switchgear of the same type, when performing a comprehensive calculation for multiple devices, after calculating their combined load factors individually, the average of these factors is calculated and used as the combined load factor for that type of switchgear. This smooths out the impact of fluctuations in individual device data, making the results more representative and stable, and providing a more reliable basis for the subsequent calculation of preset load weights.

[0022] In some possible implementations, obtaining the regional detection level of each area based on the operating electrical data of the switchgear in each area and the thermal signal information of each switchgear in the switch distribution cabinet includes:

[0023] For each device in any area, when the thermal signal information indicates that the fault alarm requirement is not met, one or more target operating electrical data curves corresponding to the thermal signal information are obtained as a target curve set;

[0024] Obtaining the similarity between the actual operating electrical data curve of the operating electrical data and each curve in the target curve set, and taking the grade label corresponding to the target operating electrical data curve with the highest similarity as the detection grade of the switchgear;

[0025] Obtain the regional detection level of the area based on the detection level of each switchgear in the area;

[0026] The method further includes: generating an alarm signal and issuing an alarm when the thermal signal information indicates that a fault alarm requirement is met.

[0027] The beneficial effect of this technical solution is that, on the one hand, when the thermal signal information does not meet the fault alarm requirements, for each device in the area, by obtaining the target operating electrical data curve set corresponding to the thermal signal information, and calculating the similarity between the actual operating electrical data curve and each curve in the target curve set, the detection level of the switch device is determined according to the level label corresponding to the curve with the highest similarity. This process can comprehensively consider the operating electrical data and thermal signal information of the equipment, accurately evaluate the operating status of each switch device, avoid the misjudgment or missed judgment that may be caused by relying on a single indicator in a one-way manner, and provide a reliable basis for the subsequent determination of the regional detection level. On the other hand, when the thermal signal information meets the fault alarm requirements, an alarm signal can be generated and an alarm can be issued in a timely manner, quickly responding to the fault situation, helping to discover and handle the fault as early as possible, and reducing the impact of the fault on the operation. At the same time, the regional detection level of the area is obtained based on the detection level of each switch device in the area, realizing the detection and evaluation from individual equipment to the entire area, which can comprehensively reflect the comprehensive operating status of the equipment in the area, facilitate the effective management and maintenance of the entire area, and improve the reliability and stability of the power system operation.

[0028] In some possible implementations, identifying the key areas of the switchgear in the current detection cycle based on the regional detection level of each area and the corresponding preset load weight includes:

[0029] Arrange each area from large to small according to the preset load weight, and judge whether the regional detection level of the area meets the corresponding detection level requirements according to the arrangement order; when the area that does not meet the detection level requirements meets the number or proportion of critical areas, it will be regarded as a critical area and the judgment will be stopped.

[0030] The beneficial effect of this technical solution is that it arranges the regional detection levels of each area from large to small according to the preset load weight, fully considering the importance of different areas in the overall system and the degree of impact on the load, making the subsequent key area identification more targeted and valuable. Selecting areas as key areas based on the preset number or proportion of key areas not only avoids giving equal attention to all areas without distinction, saving time and costs, but also ensures that attention is focused on relatively more critical and more important areas. In subsequent inspection, maintenance and fault prevention work, resources can be allocated more efficiently, and key areas can be monitored and processed first, thereby effectively improving the operational stability and reliability of the switch distribution cabinet and reducing the risk of potential failures.

[0031] In a second aspect, the present application further provides a fault detection method, which is applied to a central control device of a power system including multiple groups of switch distribution cabinets; the method comprises:

[0032] For any group of switch distribution cabinets in the power system, obtain prompt information of each switch distribution cabinet using any method in the first aspect;

[0033] Based on the operating electrical data and temperature information of key areas of each switch distribution cabinet, inspection plan information is generated and sent to the inspection equipment.

[0034] This technical solution's beneficial effects include automatically integrating and analyzing data to generate scientifically sound inspection plans, optimizing inspection routes and task scheduling, reducing manual planning time and effort, and improving inspection efficiency. Inspection plans are dynamically adjusted based on real-time operating data from key areas, promptly responding to changes in equipment status and ensuring timely and targeted inspections.

[0035] In some possible implementations, each switch distribution cabinet is provided with a two-dimensional barcode for indicating the identity of the switch distribution cabinet;

[0036] The method further comprises:

[0037] When the inspection device obtains the identity information of any switch distribution cabinet by scanning the QR code, a communication connection is established between the inspection device and the central control device, and the inspection record corresponding to the identity information is sent to the central control device;

[0038] When the inspection task corresponding to the inspection plan information is completed, the comprehensive load factor of the switchgear is updated according to each inspection record.

[0039] The beneficial effect of this technical solution is that by scanning the QR code, inspectors can quickly and accurately obtain the identity information of the switchgear and distribution cabinet, avoiding errors and omissions in manual recording and improving inspection efficiency. Inspection records are sent to the central control device in real time, ensuring the timeliness and accuracy of the data and providing operations and maintenance managers with the latest equipment operating status information. The dynamic update mechanism of the integrated load factor enables the power system to reflect the equipment operating status in real time, promptly capturing changes in equipment performance and potential failure signs, taking proactive maintenance measures, and reducing the risk of failure. The central control device centrally stores and manages inspection records and integrated load factors, facilitating data query, analysis, and management, and providing comprehensive historical data support for equipment evaluation and fault analysis.

[0040] In some possible implementations, a switch distribution cabinet is provided with a controller and a local communication device, and a central communication device is also provided at the central control device position of the power system; the local communication device includes a local photoelectric conversion module and a local wireless laser transceiver module, and the central communication device includes a central photoelectric conversion module and a central wireless laser transceiver module;

[0041] The local photoelectric conversion module and the central photoelectric conversion module are respectively used for photoelectric signal conversion, and the local wireless laser transceiver module and the central wireless laser transceiver module are used to realize wireless laser transmission between local communication equipment and central communication equipment.

[0042] The beneficial effect of this technical solution is that signal conversion through the optoelectronic conversion module can effectively resist electromagnetic interference and ensure the integrity and accuracy of signal transmission, especially key information such as the operating status data and control signals of the switch distribution cabinet, so that the central control equipment can accurately grasp the status of the distribution cabinet in real time; the use of wireless laser communication makes it easy to flexibly add communication nodes according to expansion needs in distribution scenarios with limited space or difficult transformation, so as to adapt to the trend of continuous upgrading and development of the power system.

[0043] In a third aspect, the present application further provides an electronic device, comprising:

[0044] one or more processors;

[0045] A storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device implements the method as described in any one of the first aspect and / or the second aspect.

[0046] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor of a computer, enables the computer to execute any one of the methods of the first aspect and / or the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present application is further described below with reference to the accompanying drawings and examples.

[0048] Figure 1 A schematic flow chart of a fault detection method for a switch distribution cabinet proposed in this application;

[0049] Figure 2 A schematic diagram of a process for obtaining a preset load weight proposed in this application;

[0050] Figure 3 A schematic diagram of a process for obtaining a comprehensive load factor proposed in this application;

[0051] Figure 4This is a flowchart of a method for obtaining regional detection levels proposed in this application. DETAILED DESCRIPTION

[0052] Below, the present application is further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of no conflict, the various embodiments described below or the various technical features can be arbitrarily combined to form new embodiments. The implementation procedures of the present application will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through different specific implementation procedures. The details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for the purpose of illustrating the present application, and are not intended to limit the scope of protection of the present application.

[0053] As mentioned in the background technology, traditional switchgear fault detection methods rely primarily on manual, periodic inspections of measured electrical variables, or setting alarm constraints for the measured electrical variables, with warnings issued only when the alarm constraints are fully met. Patent document CN202411714743.5, for example, discloses a distribution network fault analysis and management platform based on rapid positioning. This platform addresses the problem that existing distribution network fault detection methods (alarm constraints) have too narrow a detection scope and fail to fully understand power outages, resulting in low detection accuracy and efficiency. This platform uses a hierarchical, progressive approach to investigate the faulty area one by one, inspecting various devices and lines within the faulty area. The platform then analyzes the relevant data of each power device and line in combination with historical data, eliminating the need for manual intervention and reducing manpower investment and operational risks.

[0054] In principle, it mainly analyzes the data related to the power equipment of the distribution cabinet to analyze the equipment failure impact index of the target distribution cabinet. If the index is less than the set equipment failure impact index, the target distribution cabinet is used as the dividing point to divide the target distribution line into a main network segment and a secondary network segment. The quality parameters of the corresponding main network segment and secondary network segment of the target distribution line are monitored in real time. The quality parameters include power quality impact factors and material quality impact factors. The quality parameters of the corresponding main network segment and secondary network segment of the target distribution line are analyzed. Based on this, the line failure impact index of the corresponding main network segment of the target distribution line and the line failure impact index of the corresponding secondary network segment of the target distribution line are analyzed, and the fault location and cause of the distribution network fault area are determined. In other words, it mainly uses new alarm constraints to conduct more detailed inspections on the already determined distribution network fault area, and it cannot avoid the situation where the alarm constraints are met and the alarm is only issued when the alarm constraints are met.

[0055] In related technologies, in order to avoid significant losses to switch distribution cabinets caused by warnings only when the alarm constraints are fully met, the patent document with application number CN202410484586.7 discloses a switch cabinet fault diagnosis method and system based on the Internet of Things. The method includes dividing the electrical circuits of the faulty switch cabinet based on the electrical topology of the faulty switch cabinet to obtain several potential fault electrical links; obtaining a set of key operating parameters for each potential fault electrical link within a set time period before the fault occurs; dividing the set time period into several time windows, each time window as a potential fault unit; extracting the key operating parameter set corresponding to each potential fault unit, and calculating the abnormal risk index corresponding to each potential fault unit based on the extracted key operating parameter set, and taking the potential fault electrical link whose ranking is greater than a preset threshold as the priority link for investigation.

[0056] However, it does not care about the importance of each distribution cabinet (each area), that is, it does not consider the difference in regional importance and load levels, and is not very targeted.

[0057] In order to solve the above problems, the present application proposes a fault detection method for a switch distribution cabinet and related equipment. The technical solution to be protected by the present application will be described below through several embodiments. Example 1

[0058] Reference Figure 1 , an embodiment of the present application provides a fault detection method for a switch distribution cabinet, the method comprising:

[0059] S101, obtaining operating electrical data of switchgear in each area of ​​a switch distribution cabinet and a preset load weight of each area;

[0060] As an example, operating electrical data includes real-time collection of one or a combination of electrical information such as current, voltage, and power of switchgear in each area to reflect the current operating status of the switchgear. It is worth noting that the operating electrical data (current, voltage, and power of each type of switchgear) and the thermal signal information mentioned below are each set with a corresponding alarm threshold. When the threshold is exceeded, a fault alarm will be issued. Only when neither threshold is exceeded will the method provided in this embodiment be executed to determine the possibility of failure of the switch distribution cabinet when the alarm threshold is not met, and to issue an appropriate early warning alarm.

[0061] S102, using an optical fiber temperature sensing device to obtain a thermal signal information set of the switch distribution cabinet, wherein each thermal signal information in the thermal signal information set is used to indicate the temperature change status of each switch device in the switch distribution cabinet; by monitoring the temperature change, overheating, partial discharge abnormality, etc. of the collection point of the thermal signal information of the switch device can be discovered in time.

[0062] Fiber-optic temperature sensing devices monitor temperature changes in switchgear in real time. Using a single-channel fiber-optic transmission line with a protective structure, the data collection point is deployed at the physical junction between the upper conductive busbar (where the switchgear's electrical connection node is located) and the insulated support base. The collected temperature data constitutes a thermal signal information set, each corresponding to the temperature change status of the switchgear.

[0063] S103, obtaining a regional detection level for each area based on the operating electrical data of the switchgear in each area and the thermal signal information of each switchgear in the switch distribution cabinet;

[0064] In specific applications, a correlation model of operating electrical data, thermal signal information, and regional detection level can be established to evaluate the regional detection level of a region. The regional detection level can be in the form of a score or a graded classification.

[0065] S104, based on the regional detection level of each area and the corresponding preset load weight, identify the key areas of the switch distribution cabinet in the current detection cycle; generate prompt information based on the operating power data and temperature information of the key areas, send it to the central control device and display it; the operating power data and temperature information are also used to generate inspection plan information for the next inspection cycle.

[0066] In specific applications, the regional detection level is combined with the preset load weight to calculate the fault risk value of each area, from which areas are selected as key areas. Prompt messages containing operating electrical data and temperature information for key areas are generated and sent to the central control device for display. By identifying key areas and generating prompt messages, the most likely subsequent fault locations can be quickly located, providing maintenance personnel with clear inspection instructions.

[0067] It can be assumed that switchgear operating in complex power systems is affected by a variety of factors, including changes in the equipment's electrical parameters and temperature fluctuations in the operating environment. These factors can gradually cause equipment failures, affecting the stable power supply of the power system. Therefore, real-time monitoring of the operating status of switchgear and pre-failure analysis and detection are crucial. Therefore, traditional fault detection methods rely on manual inspections, which can only be executed according to fixed plans and cannot dynamically reflect equipment status, resulting in low inspection efficiency. They often rely on single alarm constraints and warnings, and can only detect faults after they occur, resulting in lags and making it difficult to prevent them in advance. They also ignore regional importance and load level differences, lack specificity, and fail to effectively allocate inspection and maintenance resources. To achieve early warning and precise location of switchgear faults, and optimize inspection plans to improve operation and maintenance efficiency, the present invention, in one aspect, establishes a model that considers operating electrical data and thermal signal information through regional detection level assessment to evaluate the operating status of equipment within the region. These operating electrical data and thermal signal information are represented as standardized index values ​​for the regional detection level, reflecting their impact on fault detection and achieving quantitative assessment. On the other hand, the regional detection level is combined with the preset load weight to calculate the fault risk value of each area; prompt information containing the operating electrical data and temperature information of key areas is generated and sent to the central control device for display to assist operation and maintenance decision-making; the central control device generates an inspection plan for the next inspection cycle based on the prompt information, which can highlight key equipment and areas and reasonably arrange inspection routes and tasks.

[0068] In summary, operating electrical data reflects the switchgear's electrical performance and load conditions, while thermal signal information reflects its thermal state. By comprehensively considering both aspects of information to obtain a quantifiable regional detection level, we can more comprehensively assess the equipment's operating status, thereby improving fault detection accuracy. Combining regional detection levels with preset load weights that emphasize regional importance can accurately identify key areas, allowing for the rational allocation of inspection and maintenance resources and improving inspection and maintenance efficiency. Prompt information provides detailed operating status data for key areas. Inspection plans developed based on this data can more effectively target inspection and maintenance of key areas, thereby improving inspection efficiency.

[0069] Reference Figure 2 In some embodiments, the method for obtaining the preset load weight includes:

[0070] S201, using a central control device to obtain design information of a switch distribution cabinet, and obtaining switchgear information and area information in the switch distribution cabinet based on the design information;

[0071] Design information refers to the various technical parameters and plans determined during the switchgear design phase. These parameters, such as those derived from electrical design drawings and design calculations, include main and auxiliary wiring diagrams, which describe the connection methods and control logic of the electrical equipment within the switchgear. Switchgear information refers to the detailed information on all switchgear and electrical equipment within the switchgear, including the model, specifications, rated current, rated voltage, and breaking capacity of each switchgear (circuit breaker, earthing switch, etc.).

[0072] Zone information is used to divide switchgear into zones. Detailed information about switchgear devices within the switchgear information is stored separately by zone. For example, zones are defined based on the electrical circuits within a switchgear. Each circuit consists of a set of switchgear (such as circuit breakers, disconnectors, and earthing switches) and associated protection, measurement, and control equipment. Each circuit zone is responsible for specific power transmission or distribution tasks. For example, the zone corresponding to the incoming line circuit receives power from the upstream source, the outgoing line circuit supplies power to downstream loads, and the busbar circuit connects different voltage levels or sections of the power grid. Circuits are typically isolated by switchgear, resulting in relatively clear boundaries and facilitating fault isolation and zone demarcation.

[0073] S202, according to the switchgear information, obtain the comprehensive load factor of each type of switchgear in the switch distribution cabinet from the database of the central control device; the database refers to the database set in the central control device, which is convenient for overall updating.

[0074] Specifically, the composite load factor can be calculated based on parameters such as the switchgear's operating time and power data, reflecting the load conditions of the equipment within a preset time period. The calculation can be performed for multiple switchgear of the same type, with the average value taken as the composite load factor. Alternatively, a single switchgear in a typical area can be selected and its calculated value used as the composite load factor for similar switchgear. The composite load factor provides a quantitative basis for the subsequent calculation of the preset load weights for each area, helping to assess the load status of the equipment and more accurately identify potential faults.

[0075] S203: Obtain weight data of each area in the switch distribution cabinet according to the comprehensive load factor and area information and use it as a preset load weight.

[0076] Combining the comprehensive load factor and regional information, a preset load weight is calculated for each zone in the switchgear distribution cabinet. This preset load weight reflects each zone's importance and load profile within the overall system, taking into account both the type of switchgear and the mix of different devices within the zone. This step comprehensively assesses regional load status using preset load weights, addressing challenges associated with prior art approaches that fail to fully consider device type and mix.

[0077] In this embodiment, the central control device is used to obtain the design information of the switch distribution cabinet and clarify the connection and control logic of each electrical device in the distribution cabinet. Based on this, the switch device information and regional information are extracted. Based on the switch device information, the comprehensive load coefficient of each type of switch device is obtained from the database of the central control device to reflect the load condition of the device within a preset time period. Combining the comprehensive load coefficient with the regional information, the preset load weight of each area in the switch distribution cabinet is calculated, which is used to reflect the importance of each area in the overall system while taking into account the equipment type and combination. It realizes a comprehensive assessment of the regional load status, solves the problem in related technologies that the equipment type and combination are not fully considered, resulting in difficulty in comprehensively assessing the regional load condition, thereby more accurately identifying potential faults.

[0078] Reference Figure 3 In some embodiments, the method for obtaining the comprehensive load factor includes:

[0079] S301, obtaining a corresponding relationship between the operating time, the operating power data and the comprehensive load factor;

[0080] S302: Acquire actual operating time and actual operating electrical data of the switchgear during a preset operating cycle; and calculate a comprehensive load factor based on the actual operating time and the actual operating electrical data by using a corresponding relationship therebetween. The preset operating cycle may be, for example, 10 hours, 12 hours, or 24 hours.

[0081] As an example, the corresponding relationship between the operating time, the operating electrical data, and the comprehensive load factor includes:

[0082] The actual load value is obtained based on the operating power data within a preset time period. The comprehensive load factor of the switchgear is obtained based on the actual load value and the operating time of the switchgear within the preset time period using the following formula:

[0083]

[0084] Where CLFj represents the combined load factor of the jth type of switchgear, G represents the rated load value of the switchgear within a preset time period, Ij represents the actual load value at the jth sampling moment, and m represents the number of sampling points within the preset time period. T represents the duration of the preset time period, and Ta represents the actual operating time of the switchgear within the preset time period. Ta / T is the coefficient adjustment factor, calculated as the ratio of the actual operating time of the switchgear to the duration of the preset time period.

[0085] For multiple switchgear of the same type, i.e., when performing a comprehensive calculation for multiple devices, we calculate their combined load factors individually, then average these factors and use this average as the combined load factor for that type of switchgear. This smooths out the impact of individual device data fluctuations, making the results more representative and stable, and providing a more reliable basis for subsequent calculations of preset load weights.

[0086] Reference Figure 4 In some embodiments, obtaining the regional detection level of each area based on the operating electrical data of the switchgear in each area and the thermal signal information of each switchgear in the switch distribution cabinet includes:

[0087] S401, for each device in any area, when the thermal signal information indicates that the fault alarm requirement is not met, obtaining one or more target operating electrical data curves corresponding to the thermal signal information as a target curve set;

[0088] S402, obtaining the similarity between the actual operating electrical data curve of the operating electrical data and each curve in the target curve set, and taking the level label corresponding to the target operating electrical data curve with the highest similarity as the detection level of the switchgear;

[0089] S403, obtaining a regional detection level of the area based on the detection level of each switch device in the area;

[0090] The method further includes: generating an alarm signal and issuing an alarm when the thermal signal information indicates that a fault alarm requirement is met.

[0091] For the switchgear within each zone, the thermal status of the device is first determined based on the thermal signal information. If the thermal signal indicates that the device temperature has not yet reached the fault alarm threshold, meaning that the fault alarm requirements are not met, further analysis of the operating electrical data begins. Specifically, based on the currently collected thermal signal information, one or more matching target operating electrical data curves are retrieved from a pre-defined database or model. Each target operating electrical data curve represents the typical operating electrical data characteristics of the switchgear during normal operation under specific thermal conditions, such as the time-varying trend of current or voltage parameters.

[0092] After obtaining the target curve set, the actual operating electrical data curve of the currently collected operating electrical data is compared with each target curve in the set to calculate the similarity between them. The similarity calculation can be performed using correlation coefficient methods, dynamic time warping algorithms, etc., to quantify the degree of consistency between the two curves in terms of shape, trend, etc.

[0093] As an example, the similarity between a switchgear's actual operating electrical data curve and each operating electrical data curve in a target curve set is recorded. The target curve with the highest similarity is selected, and its corresponding grade label is determined as the switchgear's detection level. Grade labels are predefined indicators that reflect the switchgear's operating status, such as "normal," "minor abnormal," and "serious abnormal," thereby enabling a quantitative assessment of the device's status.

[0094] After completing the inspection level assessment for all switchgear within a region, the regional inspection level for the entire area is calculated by integrating the level information of the devices within the region. The regional inspection level can be determined based on a variety of strategies, such as simple statistical methods (such as taking the average or mode of the inspection levels of the devices within the region) or weighted comprehensive methods (which assign different weights based on factors such as device importance and preset load weights and then perform a comprehensive calculation). The regional inspection level is intended to reflect the overall operating status of the equipment within the region at a macro level, helping operations and maintenance personnel quickly understand the area's fault risk level.

[0095] In addition, if the thermal signal information shows that the temperature of the switchgear has reached or exceeded the preset alarm threshold, indicating that it is at risk of failure, an alarm signal will be immediately generated. The alarm signal can be triggered in a variety of ways, such as popping up an alarm window on the central control device, emitting an audible and visual alarm, etc., so as to promptly notify the operation and maintenance personnel to take emergency measures to prevent the fault from further expanding or causing a safety accident. It is worth noting that similar alarms will also be triggered if the operating electrical data exceeds the corresponding alarm threshold, which will not be described in detail in this application.

[0096] Therefore, on the one hand, when the thermal signal information does not meet the fault alarm requirements, for each device in the area, by obtaining the target operating electrical data curve set corresponding to the thermal signal information and calculating the similarity between the actual operating electrical data curve and each curve in the target curve set, the detection level of the switchgear is determined based on the level label corresponding to the curve with the highest similarity. This process can comprehensively consider the device's operating electrical data and thermal signal information, accurately assess the operating status of each switchgear, avoid the misjudgment or omission that may result from relying solely on a single indicator, and provide a reliable basis for the subsequent determination of the regional detection level. On the other hand, when the thermal signal information meets the fault alarm requirements, an alarm signal can be generated and an alarm can be issued in a timely manner, quickly responding to the fault situation, helping to detect and handle the fault as early as possible and reducing the impact of the fault on operation. At the same time, the regional detection level of the region is obtained based on the detection level of each switchgear in the region, realizing detection and evaluation from individual devices to the entire region. It can comprehensively reflect the comprehensive operating status of the equipment in the region, facilitate effective management and maintenance of the entire region, and improve the reliability and stability of the power system operation.

[0097] In some embodiments, identifying the key areas of the switchgear in the current detection cycle according to the regional detection level of each area and the corresponding preset load weight includes:

[0098] Arrange each area from large to small according to the preset load weight, and judge whether the regional detection level of the area meets the corresponding detection level requirements according to the arrangement order; when the area that does not meet the detection level requirements meets the number or proportion of critical areas, it will be regarded as a critical area and the judgment will be stopped.

[0099] In specific applications, if areas that fail to meet the detection level requirements do not meet the number or ratio of critical areas, all identified problem areas will be considered critical areas. The detection level requirements are pre-set, and operating data, including normal and fault data, or simulated operating data, is collected from each area of ​​the switchgear during a preset operating cycle. The detection level requirements for each area are determined based on the occurrence of faults, their type, and frequency.

[0100] Each zone's detection level reflects the operational status of its equipment, while the preset load weight reflects the zone's importance and load level. Combining regional detection levels with load weights allows for a comprehensive assessment of regional failure risk. The detection levels of each zone are ranked from highest to lowest according to the preset load weights, prioritizing high-load zones. This arrangement places areas of greater concern at the front of the list, facilitating subsequent centralized processing and analysis.

[0101] Based on actual needs and system scale, pre-set the number of key areas or their proportion to the total number of areas. For example, you can set the key areas to the first 30% of the total number of areas, or select the first five areas that meet the detection level requirements as key areas.

[0102] In the sorted list of regions, select the regions with the lowest ranking from back to front as key regions. These key regions have relatively high load weights, and any problems they encounter will have a greater impact on the entire system. This method of selecting key regions allows for focused monitoring and management.

[0103] Therefore, the technical solution provided in this embodiment arranges the regional detection levels of various areas from large to small according to the preset load weight, fully considering the importance of different areas in the overall system and the degree of influence on the load, so that the subsequent key area identification is more targeted and has more reference value. Areas are selected as key areas based on the preset number or proportion of key areas. This not only takes into account that this embodiment is used for pre-alarms of various areas of the switch distribution cabinet, avoiding the indiscriminate equal attention to all areas, saving time and cost, but also ensures that attention is focused on relatively more critical areas that require attention, so that in subsequent inspection, maintenance and fault prevention work, resources can be allocated more efficiently, and key areas can be monitored and processed first, thereby effectively improving the operational stability and reliability of the switch distribution cabinet and reducing the risk of potential failures. Example 2

[0104] The embodiment of the present application also provides a fault detection method, which is applied to a central control device of a power system including multiple groups of switch distribution cabinets;

[0105] The method comprises:

[0106] For any set of switch distribution cabinets in the power system, use any of the methods in Example 1 to obtain prompt information for each switch distribution cabinet; the specific embodiments and technical effects achieved are consistent with those described in Example 1 above, and some details are not repeated here. Each switch distribution cabinet can be installed in a power distribution room in a factory.

[0107] Based on the operating electrical data and temperature information of key areas of each switch distribution cabinet, inspection plan information is generated and sent to the inspection equipment.

[0108] This process involves data integration, plan development, and information push. Specifically, data integration involves collecting operating electrical and temperature data from key areas of each switchgear distribution cabinet to reflect the operating status of the switchgear in each area of ​​the switchgear distribution cabinet. Based on data analysis and fault risk assessment, inspection priorities and frequencies are determined, and inspection plans are dynamically adjusted. Based on the analysis results, inspection plans are developed, rationally arranging routes and tasks, and highlighting key equipment and areas. Inspection plan information is then sent to inspection equipment, such as inspectors' smart PADs and tablets, to ensure efficient task execution and management.

[0109] As a result, data can be automatically integrated and analyzed to generate scientifically sound inspection plans, optimize inspection routes and task scheduling, reduce manual planning time and effort, and improve inspection efficiency. Inspection plans can be dynamically adjusted based on real-time operating data from key areas, promptly responding to changes in equipment status and ensuring the timeliness and relevance of inspections.

[0110] In specific applications, the operating electrical data and temperature information of key areas of each switch distribution cabinet can be input into the plan generation model, and the plan information output by the plan generation model can be obtained and used as inspection plan information.

[0111] The plan generation model can be obtained by pre-training a preset deep learning model using a training set, where each training data in the training set includes feature information consisting of operating electrical data and temperature information of a region and annotated data of importance ranking data corresponding to the feature information. The training process of the plan generation model may include:

[0112] Obtain the training set, and perform the following processing on each training data in the training set:

[0113] Inputting the feature information in the training data into a preset deep learning model to obtain predicted data of the feature information;

[0114] Updating model parameters of the deep learning model based on the predicted data and labeled data of the feature information;

[0115] Check whether the preset training end condition is met; if so, use the trained deep learning model as the plan generation model; if not, continue training the deep learning model using the next training data.

[0116] The present application does not limit the method for obtaining the annotation data of the prediction data. For example, manual annotation or semi-automatic annotation can be used. The characteristic information composed of the operating electrical data and temperature information of the area can be collected from a real production workshop, for example.

[0117] The embodiment of the present application does not limit the training end conditions of the preset plan generation model. For example, it can be that the number of training times reaches a preset number (the preset number is, for example, 1 time, 10 times, 100 times, 1000 times, 10,000 times, etc.), or it can be that all the training data in the training set complete one or more trainings, or it can be that the total loss value obtained from this training is not greater than the preset loss value.

[0118] In some embodiments, each switch distribution cabinet is provided with a two-dimensional barcode for indicating the identity of the switch distribution cabinet; the two-dimensional barcode is, for example, a QR code (Quick Response Code), which can still be correctly read even if it is partially damaged or obscured by stains.

[0119] The method further comprises:

[0120] When the inspection device obtains the identity information of any switch distribution cabinet by scanning the QR code, a communication connection is established between the inspection device and the central control device, and the inspection record corresponding to the identity information is sent to the central control device;

[0121] When the inspection task corresponding to the inspection plan information is completed, the comprehensive load factor of the switchgear is updated according to each inspection record.

[0122] A QR code is placed on each switchgear panel to store unique identification information, including device number, location, model, and key parameters, providing accurate identification for inspections. During inspections, inspection devices (such as mobile terminals) scan the QR code to quickly obtain the switchgear panel's identity information. After scanning, the inspection device automatically establishes a communication connection (such as a 4G connection) with the central control equipment, ensuring timely and accurate data transmission.

[0123] During the inspection process, inspectors use inspection equipment to check switchgear and distribution cabinets according to a pre-set inspection plan, recording information such as equipment operating status, detected fault information, and on-site environmental conditions. Simultaneously, these inspection records are sent to the central control device in real time, enabling centralized data management and monitoring. When the inspection equipment completes the inspection task corresponding to the inspection plan information, the central control device receives the complete inspection record, triggering the comprehensive load factor update mechanism.

[0124] Therefore, by scanning the QR barcode, inspectors can quickly and accurately obtain the identity information of the switchgear and distribution cabinet, avoiding errors and omissions in manual recording and improving inspection efficiency. Inspection records are sent to the central control device in real time, ensuring the timeliness and accuracy of the data and providing operations and maintenance managers with the latest equipment operating status information. The dynamic update mechanism of the integrated load factor enables the power system to reflect the equipment operating status in real time, promptly detecting changes in equipment performance and potential failure signs, taking proactive maintenance measures, and reducing the risk of failure. The central control device centrally stores and manages inspection records and integrated load factors, facilitating data query, analysis, and management, and providing comprehensive historical data support for equipment evaluation and failure analysis.

[0125] In some embodiments, the switch distribution cabinet is provided with a controller and a local communication device, and a central communication device is also provided at the central control device position of the power system; the controller and the central control device realize wireless communication through the local communication device and the central communication device.

[0126] Specifically, the local communication equipment includes a local photoelectric conversion module and a local wireless laser transceiver module, and the central communication equipment includes a central photoelectric conversion module and a central wireless laser transceiver module;

[0127] The local photoelectric conversion module and the central photoelectric conversion module are respectively used for photoelectric signal conversion, and the local wireless laser transceiver module and the central wireless laser transceiver module are used to realize wireless laser transmission between local communication equipment and central communication equipment.

[0128] The local and central photoelectric conversion modules are responsible for converting electrical signals into optical signals, or converting received optical signals back into electrical signals. The local and central wireless laser transceiver modules are used to transmit and receive laser signals. In specific applications, the local and central wireless laser transceiver modules, for example, include laser transmitters and photodetectors. The communication between the two communication devices provided in this application is bidirectional. Each (local and central) communication device is capable of sending and receiving signals, meaning it can simultaneously transmit and receive information without signal conflicts.

[0129] Wireless laser communication refers to a technology that uses laser beams as channels for direct, bidirectional transmission of data, images, and other information. Specifically, the laser signals in the wireless laser transmission module provided herein can be transmitted through the air without the need for a physical connection, thereby enabling wireless communication. The laser communication of the wireless laser transmission module does not require physical wiring, thus providing greater flexibility in the layout of production areas. Compared to wiring systems, the laser transmission module is simpler to install and maintain, helping to reduce maintenance costs.

[0130] Therefore, signal conversion through the optoelectronic conversion module can effectively resist electromagnetic interference and ensure the integrity and accuracy of signal transmission, especially key information such as the operating status data and control signals of the switch distribution cabinet, so that the central control equipment can accurately grasp the status of the distribution cabinet in real time; the use of wireless laser communication makes it easy to flexibly add communication nodes according to expansion needs in distribution scenarios with limited space or difficult transformation, adapting to the trend of continuous upgrading and development of the power system.

[0131] As an example, in a factory, multiple (groups of) switchgear and distribution cabinets are typically installed based on the power requirements and equipment configuration of different production lines or workshops. This example is applied in an automobile manufacturing plant. Each stamping shop, welding shop, painting shop, and assembly shop, for example, has its own corresponding switchgear and distribution cabinet, which form the power system. Each (group of) switchgear and distribution cabinet is responsible for providing power distribution, control, and protection for the production equipment in its corresponding workshop. This enables refined control and management of the production process in each workshop, ensuring the stable and safe operation of production equipment in each workshop, and improving production efficiency and product quality across the entire factory.

[0132] This example provides a fault detection method for a switch distribution cabinet, which is applied to a central control device of a power system including multiple groups of switch distribution cabinets; each switch distribution cabinet is provided with a two-dimensional barcode for indicating the identity of the switch distribution cabinet.

[0133] The method comprises:

[0134] P1, using the central control equipment, obtains the design information of each switch distribution cabinet, and obtains the switch equipment information and area information in the switch distribution cabinet based on the design information; based on the switch equipment information, obtains the comprehensive load factor of each type of switch equipment in the switch distribution cabinet from the database; based on the comprehensive load factor and area information, obtains the weight data of each area in the switch distribution cabinet and uses it as the preset load weight.

[0135] Among them, the method of obtaining the comprehensive load coefficient includes: using the central control device to obtain the correspondence between the operating time, operating electrical data and the comprehensive load coefficient; obtaining the actual operating time and actual operating electrical data of the switch equipment of at least one switch distribution cabinet in a preset operating cycle; and calculating the comprehensive load coefficient based on the actual operating time and the actual operating electrical data through their correspondence.

[0136] P2, for any group of switchgear in the power system, uses the controller corresponding to the switchgear to obtain the operating electrical data of the switchgear in each area of ​​the switchgear and the preset load weight of each area from the central control device;

[0137] Using an optical fiber temperature sensing device to obtain a thermal signal information set of a switch distribution cabinet, each thermal signal information in the thermal signal information set is used to indicate the temperature change state of each switch device in the switch distribution cabinet;

[0138] For each switchgear in any area, when the thermal signal information indicates that the fault alarm requirement is not met, one or more target operating electrical data curves corresponding to the thermal signal information are obtained as a target curve set;

[0139] Obtaining the similarity between the actual operating electrical data curve of the operating electrical data and each curve in the target curve set, and taking the grade label corresponding to the target operating electrical data curve with the highest similarity as the detection grade of the switchgear;

[0140] Obtain the regional detection level of the area based on the detection level of each switchgear in the area;

[0141] Arrange each area from large to small according to the preset load weight, and judge whether the regional detection level of the area meets the corresponding detection level requirements according to the arrangement order; when the area that does not meet the detection level requirements meets the number or proportion of key areas, it is regarded as a key area and the judgment stops;

[0142] Prompt information is generated based on the operating power data and temperature information of key areas, sent to the central control device and displayed (using the display screen connected to the central control device); the operating power data and temperature information are also used to generate inspection plan information for the next inspection cycle.

[0143] When the thermal signal information indicates that the fault alarm requirements are met, an alarm signal is generated and an alarm is issued, and the alarm information is generated and sent to the central control device. It is worth noting that a fault alarm will also be issued when the operating electrical data exceeds the threshold.

[0144] Controllers are field-level control devices located within switchgear and are responsible for real-time monitoring of the switchgear within that area. Examples include PLCs (Programmable Logic Controllers), miniaturized control units, and industrial computers. Centralized control devices, compared to controllers, coordinate and manage the switchgear of an entire production line or factory at a higher level. These devices can include central servers for more complex calculations and information storage. In practice, the choice between controllers and centralized control devices will depend on the factory's specific needs, budget, technical compatibility, and future scalability. Controllers interact directly with sensors and other components, while central control modules provide overall coordination, optimization, and decision support.

[0145] P3, using the central control equipment, generates inspection plan information based on the operating power data and temperature information of key areas of each switch distribution cabinet and sends it to the inspection equipment;

[0146] When the inspection device obtains the identity information of any switch distribution cabinet by scanning the QR code, a communication connection is established between the inspection device and the central control device, and the inspection record corresponding to the identity information is sent to the central control device;

[0147] When the inspection task corresponding to the inspection plan information is completed, the comprehensive load factor of the switchgear is updated according to each inspection record.

[0148] The fault detection method for the switch distribution cabinet provided in this example integrates the preset load weights, thermal signal information, and operating electrical data to more accurately and comprehensively evaluate the status of each area. At the same time, by using an optical fiber temperature sensing device to obtain a set of thermal signal information, the temperature changes of the equipment can be monitored in real time, and abnormal conditions of the equipment can be discovered in a timely manner. Furthermore, this method combines operating electrical data with thermal signal information for pre-alarms in various areas of the switch distribution cabinet, which can effectively avoid the lag problem caused by relying solely on a single alarm constraint, and can provide early warning of potential faults before the fault occurs, providing operation and maintenance personnel with sufficient time to take measures to avoid the occurrence of faults or reduce the losses caused by faults. Example 3

[0149] The embodiments of the present application also provide an electronic device, the specific embodiments of which are consistent with the embodiments described in the above embodiments and the technical effects achieved, and some contents will not be repeated here.

[0150] The electronic device comprises:

[0151] one or more processors;

[0152] A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the method as described in any one of Embodiment 1 and / or Embodiment 2. Example 4

[0153] The embodiments of the present application also provide a computer-readable storage medium, the specific embodiments of which are consistent with the embodiments described in the above embodiments and the technical effects achieved, and some contents will not be repeated here.

[0154] The computer-readable storage medium stores a computer program thereon. When the computer program is executed by a processor of a computer, the computer is caused to execute the method of any one of Embodiment 1 and / or Embodiment 2.

[0155] It should be noted that, in the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, a and b, a and c, b and c or a and b and c, where a, b and c can be single or multiple. It is worth noting that "at least one item" can also be interpreted as "one or more items"

[0156] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are configured to distinguish similar objects and are not necessarily configured to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0157] This application is explained from the perspectives of purpose of use, effectiveness, progress and novelty, and has complied with the functional enhancement and use requirements emphasized by the Patent Law. The above description and drawings of this application are only preferred embodiments of this application and are not intended to limit this application. Therefore, all structures, devices, features, etc. that are similar or identical to those of this application, that is, all equivalent replacements or modifications made in accordance with the scope of the patent application of this application, should fall within the scope of protection of the patent application of this application.

Claims

1. A fault detection method for a switch distribution cabinet, characterized in that: The method comprises: Obtain the operating electrical data of the switchgear in each area of ​​the switch distribution cabinet and the preset load weight of each area; Using an optical fiber temperature sensing device to obtain a thermal signal information set of a switch distribution cabinet, each thermal signal information in the thermal signal information set is used to indicate the temperature change state of each switch device in the switch distribution cabinet; Obtain the regional detection level of each area based on the operating electrical data of the switchgear in each area and the thermal signal information of each switchgear in the switch distribution cabinet; Based on the regional detection level of each area and the corresponding preset load weight, the key areas of the switch distribution cabinet in the current inspection cycle are identified; prompt information is generated based on the operating power data and temperature information of the key areas, and sent to the central control device for display; the operating power data and temperature information are also used to generate inspection plan information for the next inspection cycle; The method of obtaining the regional detection level of each area based on the operating electrical data of the switchgear in each area and the thermal signal information of each switchgear in the switch distribution cabinet includes: For each device in any area, when the thermal signal information indicates that the fault alarm requirement is not met, one or more target operating electrical data curves corresponding to the thermal signal information are obtained as a target curve set; Obtaining the similarity between the actual operating electrical data curve of the operating electrical data and each curve in the target curve set, and taking the grade label corresponding to the target operating electrical data curve with the highest similarity as the detection grade of the switchgear; Obtain the regional detection level of the area based on the detection level of each switchgear in the area; The method for obtaining the preset load weight includes: Using a central control device to obtain design information of a switch distribution cabinet, and obtaining switchgear information and area information in the switch distribution cabinet based on the design information; According to the switchgear information, the comprehensive load factor of each type of switchgear in the switch distribution cabinet is obtained from the database of the central control device; According to the comprehensive load factor and regional information, the weight data of each area in the switch distribution cabinet is obtained and used as the preset load weight; The comprehensive load factor can be obtained by: Obtain the corresponding relationship between operating time, operating electrical data and comprehensive load factor; In a preset operation cycle, the actual operation time and actual operation electrical data of the switch device are obtained; and the comprehensive load factor is calculated based on the actual operation time and the actual operation electrical data through their corresponding relationship.

2. The fault detection method according to claim 1, characterized in that: The method further includes: generating an alarm signal and issuing an alarm when the thermal signal information indicates that a fault alarm requirement is met.

3. The fault detection method according to claim 2, characterized in that: The identification of key areas of the switchgear in the current detection cycle based on the regional detection level of each area and the corresponding preset load weight includes: Arrange each area from large to small according to the preset load weight, and judge whether the regional detection level of the area meets the corresponding detection level requirements according to the arrangement order; when the area that does not meet the detection level requirements meets the number or proportion of critical areas, it will be regarded as a critical area and the judgment will be stopped.

4. A fault detection method, characterized in that: The method is applied to a central control device of a power system including multiple groups of switch distribution cabinets; the method comprises: For any group of switch distribution cabinets in the power system, use any method in claims 1-3 to obtain prompt information of each switch distribution cabinet; Based on the operating electrical data and temperature information of key areas of each switch distribution cabinet, inspection plan information is generated and sent to the inspection equipment.

5. The fault detection method according to claim 4, characterized in that: Each switch distribution cabinet is provided with a two-dimensional barcode for indicating the identity of the switch distribution cabinet; the method further includes: When the inspection device obtains the identity information of any switch distribution cabinet by scanning the QR code, a communication connection is established between the inspection device and the central control device, and the inspection record corresponding to the identity information is sent to the central control device; When the inspection task corresponding to the inspection plan information is completed, the comprehensive load factor of the switchgear is updated according to each inspection record.

6. The fault detection method according to claim 5, characterized in that: The switch distribution cabinet is equipped with a controller and local communication equipment. The central control equipment of the power system is also equipped with a central communication equipment. The local communication equipment includes a local photoelectric conversion module and a local wireless laser transceiver module. The central communication equipment includes a central photoelectric conversion module and a central wireless laser transceiver module. The local photoelectric conversion module and the central photoelectric conversion module are respectively used for photoelectric signal conversion, and the local wireless laser transceiver module and the central wireless laser transceiver module are used to realize wireless laser transmission between local communication equipment and central communication equipment.

7. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the method according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the method according to any one of claims 1 to 6.

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