Electric power communication equipment inspection system and method and electronic equipment

Abstract

The invention relates to the technical field of electric power communication, and discloses an electric power communication equipment inspection system and method and electronic equipment, and the system comprises a fault data analysis module, an operation environment monitoring module, an aging degree calculation module, a key degree evaluation module, a risk scoring zoning module, an inspection strategy updating module and a time module. The electronic equipment and the method correspond to the system. According to the method, the timeliness of the inspection strategy is improved by setting the data period and the strategy period, a data basis is provided for quantifying the aging degree through fault data analysis and operation environment monitoring, and a data basis is provided for quantifying the risk by evaluating the key degree of the electric power communication equipment and combining the aging degree; based on the division of the quantized risk, the scientific step formulation of the inspection strategy is realized, the adaptability of the inspection strategy is improved, the contradiction between the supervision effect and the supervision cost is effectively solved, and the supervision blind area is effectively overcome through the supervision risk change value.

Description

Technical Field

[0001] The present application relates to the field of power communication technology, and specifically to a power communication equipment inspection system, method and electronic equipment. Background Art

[0002] In the power system, power communication equipment is an important hardware foundation for power information interaction. Therefore, supervising power communication equipment is an effective technical means to ensure the stable operation of the power communication system. Therefore, it is necessary to study the supervision strategy of power communication equipment.

[0003] In practical applications, it is not difficult to find that with the development of modern power systems, a large number of power communication equipment are installed in areas far away from cities or even inaccessible areas. However, even with the rapid development of sensor detection technology, it is still impossible to effectively solve the problem of blind spots in the supervision of power communication equipment. Therefore, it is necessary to inspect power communication equipment. The inspection strategies of existing power communication equipment are mostly based on the experience of the power industry, and have significant shortcomings in timeliness and poor adaptability, which results in a waste of manpower and material resources due to inspections, which creates a contradiction between supervision effect and supervision cost.

[0004] Chinese patent number CN202410444699.4 discloses an RPA automatic inspection system and method for the operation and maintenance of power communication station equipment, but the invention over-relies on the effectiveness of the execution of RPA technology, and has not yet effectively overcome the problems of regulatory blind spots, poor timeliness and adaptability, and the contradiction between regulatory effects and regulatory costs.

[0005] In summary, the existing technology urgently needs a technical solution for power communication equipment inspection that can effectively overcome regulatory blind spots, improve inspection timeliness and adaptability, and resolve the contradiction between regulatory effects and regulatory costs. Summary of the invention

[0006] The purpose of this application is to provide a power communication equipment inspection system, method and electronic equipment to solve the technical problems raised in the above background technology.

[0007] To achieve the above objectives, this application discloses the following technical solutions:

[0008] In a first aspect, the present application discloses a power communication equipment inspection system, the system comprising:

[0009] A fault data analysis module, wherein the fault data analysis module is configured to analyze the type, frequency and severity of equipment faults to obtain a fault score;

[0010] An operating environment monitoring module, wherein the operating environment monitoring module is configured to monitor changes in environmental conditions of the device to obtain an environmental score;

[0011] An aging degree calculation module, wherein the aging degree calculation module is configured to obtain an aging degree score based on the age of the equipment, the fault score and the environment score;

[0012] A criticality evaluation module, wherein the criticality evaluation module is configured to evaluate the importance of the device in the power communication system to obtain a criticality score;

[0013] A risk scoring zoning module, wherein the risk scoring module is configured to obtain a risk score of the equipment and a corresponding risk zone based on the aging degree score and the criticality score, wherein the risk zone includes a high risk zone, a medium risk zone, a low risk zone and a temporary risk zone;

[0014] An inspection strategy update module, wherein the inspection strategy update module is configured to adopt a corresponding inspection strategy for the equipment based on the risk area;

[0015] A time module, wherein the time module is configured to be preset with a data cycle and a strategy cycle, wherein the data cycle is used to keep the operation cycles of the fault data analysis module, the operation environment monitoring module, the aging degree calculation module, the criticality evaluation module, and the risk scoring zoning module the same, and the strategy cycle is used to regularly run the inspection strategy update module;

[0016] The fault data analysis module and the operating environment monitoring module are both communicatively connected with the aging degree calculation module, the aging degree calculation module and the criticality module are both communicatively connected with the risk scoring zoning module, the risk scoring zoning module is communicatively connected with the inspection strategy update module, and the fault data analysis module, the operating environment monitoring module, the aging degree calculation module, the criticality evaluation module, the risk scoring zoning module and the inspection strategy update module are all communicatively connected with the time.

[0017] Preferably, obtaining the fault score specifically includes:

[0018] A fault type classification table is preset, wherein the fault type classification table stores fault type weights and corresponding fault types;

[0019] A severity classification table is preset, wherein the severity classification table stores severity scores and corresponding severity manifestations;

[0020] Obtaining the device number, the corresponding fault type weight score, frequency and severity score within the data period, and calculating the fault score using a fault scoring formula;

[0021] The fault scoring formula is specifically:

[0022] FS n =F*KS

[0023] Among them, S is the severity score, K is the fault type weight score, F is the frequency, n is the equipment number, FS n Assign a failure score to device number n.

[0024] Preferably, obtaining the environmental score specifically includes:

[0025] The environmental conditions include temperature conditions, humidity conditions and dust conditions;

[0026] Acquire temperature data corresponding to the temperature condition, humidity data corresponding to the humidity condition, and a dust grade corresponding to the dust condition, wherein the dust grade is used to characterize a dust state of an operating environment of the device;

[0027] Obtaining a device number, the temperature data, the humidity data and the dust level score corresponding to a data cycle, and calculating the environmental score using an environmental score formula;

[0028] The environmental scoring formula is specifically:

[0029]

[0030] Where n is the device number, q is the number of samples in one data cycle, p is the sampling number, α 1 is the temperature condition weight coefficient, α 2 is the humidity condition weight coefficient, α 3 is the dust condition weight coefficient, and α 1 +α 2 +α 3 =1,β 1 is the environmental adjustment factor, DGS is the dust grade, HUM is the humidity, TEM is the temperature, ∑ is the summation symbol, is the average symbol, ES n Assign an environmental score to device number n.

[0031] Preferably, obtaining the aging degree score specifically includes:

[0032] Obtaining the equipment number, the age corresponding to the monitoring period, the fault score and the environment score, and calculating the aging degree score using an aging degree score formula;

[0033] The aging degree scoring formula is specifically:

[0034] AS n =(FS n +ES n +β 2 ) PY

[0035] Among them, PY is the term, β 2 is the aging adjustment factor, ES n The environmental score for the device numbered n, FS n The fault score for device number n is AS n Score the aging degree of device numbered n.

[0036] Preferably, the criticality score is obtained, specifically including:

[0037] Obtain the equipment number, the corresponding fault record, fault scope and severity score, and calculate the criticality score using the criticality score formula;

[0038] The criticality scoring formula is specifically:

[0039]

[0040] Among them, NOD total is the total number of power communication devices, NOD n_fault is the number of power communication devices affected by the failure of device numbered n, CS n Rate the criticality of device number n.

[0041] Preferably, obtaining the risk score of the equipment and the corresponding risk area specifically includes:

[0042] Obtaining the equipment number, the corresponding aging degree score and the criticality score, and calculating the risk score using a risk score formula;

[0043] The risk scoring formula is specifically:

[0044] RS n =AS n +CS n

[0045] Among them, CS n Score the criticality of equipment numbered n, AS n Score the aging degree of equipment numbered n, RS n Give risk score to device numbered n;

[0046] Based on the corresponding risk scores, the power communication devices are sorted from large to small, and the sorting results are divided into three groups, namely, a first group corresponding to large risk scores, a second group in the middle, and a third group corresponding to small risk scores;

[0047] classifying the first group as the high-risk area;

[0048] classifying the second group as the medium risk area;

[0049] The third group is classified as the low risk area.

[0050] Preferably, the corresponding inspection strategy for the equipment specifically includes:

[0051] A preset inspection strategy query table stores inspection strategies and corresponding risk areas, wherein the inspection strategies include high-risk area inspection strategies, medium-risk area inspection strategies, and low-risk area inspection strategies;

[0052] The risk area corresponding to the device numbered n is obtained, and the corresponding inspection strategy is obtained by using the inspection strategy query table.

[0053] Preferably, the corresponding inspection strategy for the equipment also includes:

[0054] Preset risk score change thresholds;

[0055] Calculate the risk change difference between the current monitoring cycle and the previous adjacent monitoring cycle and take the absolute value to obtain the corresponding absolute difference in risk score change; when the absolute difference in risk score change is greater than or equal to the risk score change threshold, upgrade the risk area division result of the current monitoring cycle.

[0056] In a second aspect, the present application discloses a method for inspecting a power communication device, which is applicable to the power communication device inspection system as described in any one of the above items, and the method comprises:

[0057] S1: Analyze the frequency, type and severity of equipment failures to obtain a failure score;

[0058] S2: Monitor the changes in the environmental conditions of the equipment to obtain an environmental score;

[0059] S3: Obtaining an aging score based on the age of the equipment, the fault score and the environment score;

[0060] S4: Evaluate the importance of the equipment in the power communication system to obtain a criticality score;

[0061] S5: Obtaining a risk score of the equipment and a corresponding risk area based on the aging degree score and the criticality score;

[0062] S6: Adopting corresponding inspection strategies for the equipment based on the risk areas;

[0063] S7: Preset a data cycle and a policy cycle, execute steps S1 to S5 based on the data cycle, and execute step S6 based on the policy cycle.

[0064] In a third aspect, the present application discloses an electronic device, comprising: at least one processor and at least one memory, wherein the memory is communicatively connected to the processor; a computer program that can be executed by the processor is stored on the memory, and when the computer program is executed by the processor, an electric power communication equipment inspection system as described in any one of the above items is implemented.

[0065] Beneficial effects: The electric power communication equipment inspection system, method and electronic equipment of the present application improve the timeliness of the inspection strategy by setting the data cycle and strategy cycle, provide a data basis for quantifying the degree of aging through fault data analysis and operating environment monitoring, and provide a data basis for quantifying risks by evaluating the criticality of electric power communication equipment and combining the degree of aging. The scientific step-by-step formulation of the inspection strategy is achieved based on the division of risks after quantification, which improves the adaptability of the inspection strategy and effectively solves the contradiction between supervision effect and supervision cost, and effectively overcomes the supervision blind spot by supervising the risk change value. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0067] Figure 1 A structural block diagram of a power communication equipment inspection system provided in an embodiment of the present application;

[0068] Figure 2 A flowchart of a method for inspecting power communication equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0069] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0070] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0071] In a first aspect, this embodiment discloses Figure 1 A power communication equipment inspection system is shown, the system comprising:

[0072] The fault data analysis module is configured to analyze the type, frequency and severity of equipment failures to obtain a fault score.

[0073] The operating environment monitoring module is configured to monitor changes in the environmental conditions of the device to obtain an environmental score.

[0074] The aging degree calculation module is configured to obtain an aging degree score based on the age, fault score and environment score of the equipment.

[0075] The criticality evaluation module is configured to evaluate the importance of the equipment in the power communication system to obtain a criticality score.

[0076] The risk scoring zoning module is configured to obtain the risk score of the equipment and the corresponding risk zone based on the aging degree score and the criticality score. The risk zone includes a high-risk zone, a medium-risk zone, a low-risk zone and a temporary risk zone.

[0077] The inspection strategy update module is configured to adopt corresponding inspection strategies for devices based on risk areas.

[0078] Time module: The time module is configured with preset data cycle and strategy cycle. The data cycle is used to keep the operating cycles of the fault data analysis module, operating environment monitoring module, aging degree calculation module, criticality evaluation module and risk scoring zoning module the same, and the strategy cycle is used to regularly run the inspection strategy update module.

[0079] The fault data analysis module and the operating environment monitoring module are both communicatively connected with the aging degree calculation module, the aging degree calculation module and the criticality module are both communicatively connected with the risk scoring zoning module, the risk scoring zoning module is communicatively connected with the inspection strategy update module, and the fault data analysis module, the operating environment monitoring module, the aging degree calculation module, the criticality evaluation module, the risk scoring zoning module and the inspection strategy update module are all communicatively connected with time.

[0080] The timeliness of the inspection strategy is improved by setting data cycles and strategy cycles. Fault data analysis and operating environment monitoring provide a data basis for quantifying the degree of aging. Evaluation of the criticality of power communication equipment and its combination with the degree of aging provide a data basis for quantifying risks. Based on the division of quantified risks, the scientific step-by-step formulation of the inspection strategy is achieved, which improves the adaptability of the inspection strategy and effectively resolves the contradiction between regulatory effect and regulatory cost. In addition, the regulatory blind spot is effectively overcome by regulating the risk change value.

[0081] Specifically, the fault score is obtained, including:

[0082] A fault type classification table is preset, and the fault type classification table stores fault type weights and corresponding fault types.

[0083] A severity classification table is preset, and the severity classification table stores severity scores and corresponding severity manifestations.

[0084] Get the equipment number, the corresponding fault type weight score, frequency and severity score within a data cycle, and use the fault scoring formula to calculate the fault score.

[0085] The fault scoring formula is as follows:

[0086] FS n =F*K S

[0087] Among them, S is the severity score, K is the fault type weight score, F is the frequency, n is the equipment number, FS n Assign a failure score to device number n.

[0088] In a simple example, for example, if a device has frequently experienced serious failures in the past, its failure score will be higher; for example, a certain model of communication switch has experienced multiple mainboard failures in the past year, resulting in communication interruptions, and its failure score is increased, and the corresponding risk area is increased.

[0089] Specifically, we get an environmental score, which includes:

[0090] Environmental conditions include temperature conditions, humidity conditions, and dust conditions.

[0091] The temperature data corresponding to the temperature condition, the humidity data corresponding to the humidity condition, and the dust level corresponding to the dust condition are acquired, and the dust level is used to characterize the dust state of the equipment operating environment.

[0092] Get the device number, the corresponding temperature data, humidity data and dust level score within a data cycle, and use the environmental score formula to calculate the environmental score.

[0093] The specific environmental scoring formula is:

[0094]

[0095] Among them, n is the device number, q is the number of samples in a data cycle, p is the sampling number, α 1 is the temperature condition weight coefficient, α 2 is the humidity condition weight coefficient, α 3 is the dust condition weight coefficient, and α 1 +α 2 +α 3 =1,β 1 is the environmental adjustment factor, DGS is the dust grade, HUM is the humidity, TEM is the temperature, ∑ is the summation symbol, is the average symbol, ES n Assign an environmental score to device number n.

[0096] In a simple example, for example, a server installed in a computer room with high temperature, high humidity and high dust has a higher environmental risk than similar equipment in a constant temperature, constant humidity and clean environment.

[0097] Specifically, the aging degree score is obtained, including:

[0098] Obtain the equipment number, the age corresponding to the monitoring period, the fault score and the environmental score, and use the aging score formula to calculate the aging score.

[0099] The specific aging degree scoring formula is:

[0100] AS n =(FS n +ES n +β 2 ) PY

[0101] Among them, PY is the term, β 2 is the aging adjustment factor, ES n The environmental score of the device numbered n, FS n The fault score of device number n, AS n Score the aging degree of device numbered n.

[0102] In a simple example, for example, equipment with a longer service life is usually more prone to failure. Wear and aging of its components may lead to performance degradation. For example, a power module that has been in operation for more than five years may have a high degree of aging due to capacitor aging and other reasons, and therefore has a higher risk of failure.

[0103] Specifically, a criticality score is obtained, including:

[0104] Get the equipment number, the corresponding fault record, fault scope and severity score, and use the criticality score formula to calculate the criticality score.

[0105] The criticality scoring formula is as follows:

[0106]

[0107] Among them, NOD total is the total number of power communication devices, NOD n_fault is the number of power communication devices affected by the failure of device numbered n, CS n Rate the criticality of device number n.

[0108] In a simple example, for example: if the failure of a device will have a significant impact on the entire system, then it is a critical device and its risk rating is correspondingly higher. For example, the failure of a core router may cause large-scale communication paralysis, so it is a critical device and requires more frequent inspections.

[0109] Specifically, the risk score of the equipment and the corresponding risk area are obtained, including:

[0110] Get the equipment number, the corresponding aging score and criticality score, and use the risk score formula to calculate the risk score.

[0111] The specific risk scoring formula is:

[0112] RS n =AS n +CS n

[0113] Among them, CS n Score the criticality of equipment numbered n, AS n Score the aging degree of equipment numbered n, RS n Assign a risk score to device number n.

[0114] Based on the corresponding risk scores, each power communication equipment is sorted from large to small, and the sorting results are divided into three groups, namely the first group corresponding to the large risk score, the middle second group and the third group corresponding to the small risk score.

[0115] The first group was classified as a high-risk area.

[0116] The second group was classified as the medium risk area.

[0117] The third group was classified as a low-risk area.

[0118] Specifically, adopt corresponding inspection strategies for the equipment, including:

[0119] A preset inspection strategy query table stores inspection strategies and corresponding risk areas. The inspection strategies include high-risk area inspection strategies, medium-risk area inspection strategies, and low-risk area inspection strategies.

[0120] In a simple example, for example:

[0121] For equipment in high-risk areas, the following high-risk area inspection strategies are adopted:

[0122] Increase the inspection frequency from once a month to once a week or even daily. For example, communication base stations that carry important services and frequently malfunction will be inspected every day.

[0123] Strengthen the inspection items. In addition to routine inspections, more in-depth performance tests and component inspections are also carried out. For example, for high-risk power modems, not only the input and output signals are checked, but also the temperature monitoring and aging evaluation of the internal chips are carried out.

[0124] Equip professional personnel and arrange experienced and highly technical inspection personnel to be responsible for the inspection. For example, let engineers with many years of maintenance experience be responsible for the inspection of power communication equipment in high-risk large data centers.

[0125] For medium-risk equipment, the following medium-risk area inspection strategy is adopted:

[0126] Maintain an appropriate inspection frequency, such as every two weeks or once a month.

[0127] The standard testing process is implemented, but some key testing items can be appropriately added based on actual conditions.

[0128] For low-risk equipment, the following low-risk area inspection strategy is adopted:

[0129] Reduce the inspection frequency to once a quarter or once every six months.

[0130] A simplified testing approach is used, focusing on basic operating parameters.

[0131] Different inspection strategies correspond to different supervision costs. Scientific risk scoring provides necessary data reference for the formulation of inspection strategies. On this basis, it is possible to control supervision costs without affecting supervision effects, thus resolving the contradiction between supervision effects and supervision costs.

[0132] Obtain the risk area corresponding to the device numbered n, and use the inspection strategy query table to obtain the corresponding inspection strategy.

[0133] Specifically, the corresponding inspection strategy for the equipment also includes:

[0134] Preset risk score change threshold.

[0135] Calculate the risk change difference between the current monitoring cycle and the previous adjacent monitoring cycle and take the absolute value to obtain the corresponding absolute difference in risk score change; when the absolute difference in risk score change is greater than or equal to the risk score change threshold, upgrade the risk area division result of the current monitoring cycle. In a simple example, the upgrade is specifically as follows: if the original risk area data of the device is a low-risk area, but the absolute difference in risk score change of the device is greater than the risk score change threshold, then the risk area of ​​the device is divided into a medium-risk area.

[0136] It should be noted that the absolute value of the risk change difference in this embodiment is taken to characterize and avoid the influence of the following two situations on the formulation of the inspection strategy:

[0137] The first situation is that the risk score increases, that is, the difference itself is a positive number, and an upgrade inspection is necessary.

[0138] The second situation is that the risk score decreases, that is, the difference itself is a negative number, but there are data errors caused by failures in the risk scoring process, such as environmental monitoring equipment, which leads to incorrect risk scores.

[0139] In a second aspect, this embodiment discloses Figure 2 A power communication equipment inspection method is shown, and the method is applicable to the power communication equipment inspection system as described in any one of the above items, and the method includes:

[0140] S1: Analyze the frequency, type and severity of equipment failures to obtain a failure score.

[0141] S2: Monitor the changes in the environmental conditions of the equipment to obtain an environmental score.

[0142] S3: Obtain an aging score based on the equipment's age, failure score, and environmental score.

[0143] S4: Evaluate the importance of the equipment in the power communication system and obtain a criticality score.

[0144] S5: Obtain the risk score of the equipment and the corresponding risk area based on the aging degree score and the criticality score.

[0145] S6: Take corresponding inspection strategies for equipment based on risk areas.

[0146] S7: Preset a data cycle and a policy cycle, execute steps S1 to S5 based on the data cycle, and execute step S6 based on the policy cycle.

[0147] In a third aspect, this embodiment discloses an electronic device, comprising: at least one processor and at least one memory, wherein the memory is communicatively connected to the processor; a computer program that can be executed by the processor is stored on the memory, and when the computer program is executed by the processor, the power communication equipment inspection system as described in any one of the above items is implemented.

[0148] In summary, the electric power communication equipment inspection system, method and electronic equipment of the present embodiment improve the timeliness of the inspection strategy by setting the data cycle and the strategy cycle, provide a data basis for quantifying the degree of aging through fault data analysis and operating environment monitoring, and provide a data basis for quantifying the risk by evaluating the criticality of the electric power communication equipment and combining the degree of aging. The scientific step-by-step formulation of the inspection strategy is achieved based on the division of risks after quantification, which improves the adaptability of the inspection strategy and effectively solves the contradiction between the supervision effect and the supervision cost, and effectively overcomes the supervision blind spot by supervising the risk change value.

[0149] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0150] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A power communication equipment inspection system, characterized in that: The system includes: A fault data analysis module, wherein the fault data analysis module is configured to analyze the type, frequency and severity of equipment faults to obtain a fault score; An operating environment monitoring module, wherein the operating environment monitoring module is configured to monitor changes in environmental conditions of the device to obtain an environmental score; An aging degree calculation module, wherein the aging degree calculation module is configured to obtain an aging degree score based on the age of the equipment, the fault score and the environment score; A criticality evaluation module, wherein the criticality evaluation module is configured to evaluate the importance of the device in the power communication system to obtain a criticality score; A risk scoring zoning module, wherein the risk scoring module is configured to obtain a risk score of the equipment and a corresponding risk zone based on the aging degree score and the criticality score, wherein the risk zone includes a high risk zone, a medium risk zone, a low risk zone and a temporary risk zone; An inspection strategy update module, wherein the inspection strategy update module is configured to adopt a corresponding inspection strategy for the equipment based on the risk area; A time module, wherein the time module is configured to be preset with a data cycle and a strategy cycle, wherein the data cycle is used to keep the operation cycles of the fault data analysis module, the operation environment monitoring module, the aging degree calculation module, the criticality evaluation module, and the risk scoring zoning module the same, and the strategy cycle is used to regularly run the inspection strategy update module; The fault data analysis module and the operating environment monitoring module are both communicatively connected to the aging degree calculation module, the aging degree calculation module and the criticality module are both communicatively connected to the risk scoring zoning module, the risk scoring zoning module is communicatively connected to the inspection strategy update module, and the fault data analysis module, the operating environment monitoring module, the aging degree calculation module, the criticality evaluation module, the risk scoring zoning module and the inspection strategy update module are all communicatively connected to the time.

2. The power communication equipment inspection system according to claim 1, characterized in that: The fault score obtained specifically includes: A fault type classification table is preset, wherein the fault type classification table stores fault type weights and corresponding fault types; A severity classification table is preset, wherein the severity classification table stores severity scores and corresponding severity manifestations; Obtaining the device number, the corresponding fault type weight score, frequency and severity score within the data period, and calculating the fault score using a fault scoring formula; The fault scoring formula is specifically: FS n =F*K S Among them, S is the severity score, K is the fault type weight score, F is the frequency, n is the equipment number, FS n Assign a failure score to device number n.

3. The power communication equipment inspection system according to claim 1, characterized in that: The environmental score mentioned above specifically includes: The environmental conditions include temperature conditions, humidity conditions and dust conditions; Acquire temperature data corresponding to the temperature condition, humidity data corresponding to the humidity condition, and a dust grade corresponding to the dust condition, wherein the dust grade is used to characterize a dust state of an operating environment of the device; Obtaining a device number, the temperature data, the humidity data and the dust level score corresponding to a data cycle, and calculating the environmental score using an environmental score formula; The environmental scoring formula is specifically: Wherein, n is the device number, q is the number of samplings in one data cycle, p is the sampling number, α1 is the temperature condition weight coefficient, α2 is the humidity condition weight coefficient, α3 is the dust condition weight coefficient, and α1+α2+α3=1, β1 is the environment adjustment coefficient, DGS is the dust grade, HUM is the humidity, TEM is the temperature, ∑ is the summation symbol, is the average value symbol, ES n Assign an environmental score to device number n.

4. The power communication equipment inspection system according to claim 1, characterized in that: The aging degree score obtained specifically includes: Obtaining the equipment number, the age corresponding to the monitoring period, the fault score and the environment score, and calculating the aging degree score using an aging degree score formula; The aging degree scoring formula is specifically: AS n =(FS n +ES n +β2) PY Among them, PY is the age, β2 is the aging adjustment coefficient, ES n The environmental score for the device numbered n, FS n The fault score for device number n is AS n Score the aging degree of device numbered n.

5. The power communication equipment inspection system according to claim 2, characterized in that: The criticality score mentioned above includes: Obtain the equipment number, the corresponding fault record, fault scope and severity score, and calculate the criticality score using the criticality score formula; The criticality scoring formula is specifically: Among them, NOD total is the total number of power communication devices, NOD n_fault is the number of power communication devices affected by the failure of device numbered n, CS n Rate the criticality of device number n.

6. The power communication equipment inspection system according to claim 1, characterized in that: The risk score of the equipment and the corresponding risk area specifically include: Obtaining the equipment number, the corresponding aging degree score and the criticality score, and calculating the risk score using a risk score formula; The risk scoring formula is specifically: RS n =AS n +CS n Among them, CS n Score the criticality of equipment numbered n, AS n Score the aging degree of equipment numbered n, RS n Give risk score to device numbered n; Based on the corresponding risk scores, the power communication devices are sorted from large to small, and the sorting results are divided into three groups, namely, a first group corresponding to large risk scores, a second group in the middle, and a third group corresponding to small risk scores; classifying the first group as the high-risk area; classifying the second group as the medium risk area; The third group is classified as the low risk area.

7. The power communication equipment inspection system according to claim 1, characterized in that: The corresponding inspection strategy for the equipment specifically includes: A preset inspection strategy query table stores inspection strategies and corresponding risk areas, wherein the inspection strategies include high-risk area inspection strategies, medium-risk area inspection strategies, and low-risk area inspection strategies; The risk area corresponding to the device numbered n is obtained, and the corresponding inspection strategy is obtained by using the inspection strategy query table.

8. The power communication equipment inspection system according to claim 7, characterized in that: The above-mentioned corresponding inspection strategy for the equipment also includes: Preset risk score change thresholds; Calculate the risk change difference between the current monitoring cycle and the adjacent previous monitoring cycle and take the absolute value to obtain the corresponding absolute difference in risk score change; when the absolute difference in risk score change is greater than or equal to the risk score change threshold, upgrade the risk area division result of the current monitoring cycle.

9. A method for inspecting electric power communication equipment, the method being applicable to the electric power communication equipment inspection system according to any one of claims 1 to 8, characterized in that: The method includes: S1: Analyze the frequency, type and severity of equipment failures to obtain a failure score; S2: Monitor the changes in the environmental conditions of the equipment to obtain an environmental score; S3: Obtaining an aging score based on the age of the equipment, the fault score and the environment score; S4: Evaluate the importance of the equipment in the power communication system to obtain a criticality score; S5: Obtaining a risk score of the equipment and a corresponding risk area based on the aging degree score and the criticality score; S6: Adopting corresponding inspection strategies for the equipment based on the risk areas; S7: Preset a data cycle and a policy cycle, execute steps S1 to S5 based on the data cycle, and execute step S6 based on the policy cycle.

10. An electronic device, characterized in that: include: At least one processor and at least one memory, the memory being communicatively connected to the processor; the memory storing a computer program executable by the processor, and when the computer program is executed by the processor, the power communication equipment inspection system as described in any one of claims 1-8 is implemented.

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