Electrical system safety management method and system

Abstract

The invention discloses an electrical system safety management method and system, and relates to the technical field of electrical management, and the method comprises the steps: monitoring the operation state of electrical equipment, constructing a corresponding operation coefficient set, carrying out the trend analysis of a plurality of groups of operation coefficients continuously obtained in the operation coefficient set, and marking risk equipment from a plurality of pieces of electrical equipment; marking the risk equipment on the electronic map, constructing the maintenance priority of the risk equipment during maintenance according to the moving average ratio and the proximity centrality of the risk equipment, and marking the risk equipment on the electronic map according to the obtained maintenance priority; and in combination with the overhaul priority and the position information of the risk equipment, the risk equipment in the distribution area is overhauled in order, corresponding fault features are obtained, and a corresponding maintenance scheme is matched for the risk equipment according to the fault features. According to the obtained maintenance priority, a plurality of pieces of risk equipment can be maintained in order, and the maintenance efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of electrical management technology, and in particular to an electrical system safety management method and system. Background Art

[0002] The electrical system consists of power supply system, control system, lines and loads, and is usually associated with automation technology. In the power system, the electrical system is a general term for generators, transformers, power lines, circuit breakers and other equipment. The main functions of the electrical system include: power supply, control, protection and monitoring.

[0003] Electrical systems are widely used in industries, construction, transportation and other fields. In the industrial field, electrical systems are widely used in various production equipment, production lines and process flows to achieve automatic control and monitoring. In the construction field, electrical systems are used to power and control lighting, air conditioning, elevators and other equipment. In the transportation field, electrical systems are used to power and control railways, roads, aviation and other means of transportation.

[0004] In a Chinese invention patent with application publication number CN111242489A, a security management method for the operation of an electrical system is disclosed, including a server, an electrical switch cabinet, an electrical switch cabinet terminal and a mobile terminal. The mobile terminal extracts semantic keywords from operation tasks, steps executed before the current operation step, and steps to be executed, and obtains corresponding codes through a semantic keyword code mapping table. The code is encrypted using an algorithm to obtain a corresponding operation key, and is compared with the relevant operation key stored in the electrical switch cabinet terminal as an unlocking condition for the current operation step.

[0005] The above application starts with the operation of the electrical system, and ensures that the operation tasks are completed in a correct and safe order by preventing the disorder of the operation sequence or the occurrence of erroneous operation, thereby ensuring the safety of the electrical system and the operators.

[0006] In combination with the above applications and prior art, when performing safety management on electrical systems, the existing management methods usually use the continuous operating time and operating load of electrical equipment as the entry point and reference point. However, when the electrical equipment in the electrical system is in operation, if it is affected and corroded by the environment, the operating state of the electrical equipment is difficult to reach the expected or rated standard. If the electrical equipment is still managed according to the rated standard, deviations are likely to occur when judging the current operating state of the electrical equipment, which can easily lead to distortion in the safety management of the electrical system and fail to effectively screen out electrical equipment with operating risks.

[0007] To this end, the present invention provides an electrical system safety management method and system. Summary of the invention

[0008] 1. Technical issues to be solved

[0009] In view of the deficiencies of the prior art, the present invention provides an electrical system safety management method and system, which monitors the operating status of electrical equipment and constructs a corresponding operating coefficient set, performs trend analysis on several groups of operating coefficients obtained in the operating coefficient set, and marks risk equipment from several electrical equipment; after marking the risk equipment on an electronic map, the risk equipment's maintenance priority is constructed by the moving average ratio and proximity to the center, and each risk equipment is marked on the electronic map with the obtained maintenance priority; combined with the maintenance priority and location information of the risk equipment, the risk equipment in the distribution area is repaired in an orderly manner and the corresponding fault characteristics are obtained, and the corresponding maintenance plan is matched for the risk equipment according to the fault characteristics. With the obtained maintenance priority, several risk equipment can be repaired in an orderly manner, and the efficiency of maintenance is improved, thereby solving the problems in the background technology.

[0010] (II) Technical solution

[0011] To achieve the above objectives, the present invention is implemented through the following technical solutions: an electrical system safety management method, comprising the following steps:

[0012] Monitor the environmental conditions of the distribution area of ​​electrical equipment in the electrical system, build an environmental condition set in the distribution area, and generate the working environment coefficient Qr(a, b) of the electrical system from the environmental condition set. If the obtained working environment coefficient Qr(a, b) exceeds the condition threshold, issue an early warning instruction to the outside.

[0013] Monitor the operating status of electrical equipment and construct a corresponding operating coefficient set. After trend analysis of several sets of operating coefficients Ft(t, z) obtained in the operating coefficient set, mark risk equipment from several electrical equipment.

[0014] After marking the risk equipment on the electronic map, the risk equipment's moving average ratio M and proximity center Cn are used to construct its maintenance priority Zs(v, n) during maintenance. i , and obtain the maintenance priority Zs(v,n) i Mark each risk equipment on the electronic map;

[0015] Combined with the maintenance priority of risk equipment Zs(v,n) i and its location information, orderly inspect and repair the risk equipment in the distribution area and obtain the corresponding fault characteristics, and match the corresponding maintenance plan for the risk equipment based on the fault characteristics.

[0016] Furthermore, the distribution area of ​​each electrical device in the electrical system is obtained, an electronic map covering the distribution area is constructed, and the trained classifier is used to divide the distribution area into several sub-areas on the electronic map according to the position of the electrical equipment in the distribution area.

[0017] Furthermore, monitoring points are set in the sub-areas, and the concentration of corrosive gases and the air humidity in the sub-areas are measured at the monitoring points. After analysis, the corrosion degree A(g, g) and humidity B(t, t) are constructed, and after summarization, a set of environmental conditions in the distribution area is constructed.

[0018] Furthermore, there are several equally distributed monitoring nodes within the monitoring period. At each monitoring node, the operating status of the electrical equipment located in each sub-area is monitored, and the operating temperature Yt and the operating load Yz of the electrical equipment are obtained respectively, and the equipment operating status set is constructed after aggregation;

[0019] The operating coefficient Ft(t, z) of each device is generated from the operating status set, and the operating coefficient Ft(t, z) within several monitoring cycles is continuously obtained, and the operating coefficient set of the corresponding electrical equipment is constructed after being summarized.

[0020] Furthermore, several groups of operating coefficients Ft(t, z) of electrical equipment are continuously obtained, and a threshold range [Qb, Qa] is pre-constructed. If the operating coefficient Ft(t, z) of the electrical equipment is not within the threshold range [Qb, Qa], the corresponding electrical equipment is marked as risky equipment, and the remaining equipment is marked as non-risky equipment.

[0021] Furthermore, several groups of operating coefficients Ft(t, z) of non-risk equipment are obtained, arranged along the axis according to the generation time and trend analysis is performed to obtain the relative strength index; if the strength index exceeds expectations, the corresponding non-risk equipment is marked as a risky equipment.

[0022] Furthermore, all risk devices are marked on the electronic map, and the moving averages of the recent multiple operating coefficients Ft(t, z) of the risk devices are obtained. The ratio of the current value of the operating coefficient Ft(t, z) to the corresponding moving average is used as the moving average ratio Mv; combined with the position of the risk devices on the electronic map, the proximity center Cn of each risk device is calculated.

[0023] Furthermore, the trained path planning model is obtained, combined with the location information of the risk equipment and its maintenance priority Zs(v,n) i , use the trained path planning model to plan the corresponding inspection path for each risky device; perform fault detection on the risky device along the inspection path, and after setting the fault judgment criteria, identify and obtain the corresponding fault characteristics.

[0024] Furthermore, the maintenance plans of electrical equipment are summarized and a corresponding maintenance plan library is constructed. Based on the correspondence between fault characteristics and maintenance plans, the trained matching model is used to match the corresponding maintenance plans for risky equipment from the maintenance plan library, and the output maintenance plans are used as reference plans for maintenance of risky equipment.

[0025] An electrical system safety management system, comprising:

[0026] The early warning unit monitors the environmental conditions of the distribution area of ​​the electrical equipment in the electrical system, constructs an environmental condition set in the distribution area, and generates the working environment coefficient of the electrical system from the environmental condition set. If the obtained working environment coefficient exceeds the condition threshold, an early warning instruction is issued to the outside.

[0027] The monitoring unit monitors the operating status of the electrical equipment and constructs a corresponding operating coefficient set, performs trend analysis on several sets of operating coefficients obtained in the operating coefficient set, and marks risky equipment from several electrical equipment;

[0028] The analysis unit marks the risk equipment on the electronic map, constructs the maintenance priority of the risk equipment during maintenance based on the moving average ratio and proximity center of the risk equipment, and marks each risk equipment on the electronic map based on the obtained maintenance priority;

[0029] The planning unit, based on the maintenance priority and location information of the risk equipment, orderly repairs the risk equipment in the distribution area and obtains the corresponding fault characteristics, and matches the corresponding maintenance plan for the risk equipment based on the fault characteristics.

[0030] (III) Beneficial effects

[0031] The present invention provides an electrical system safety management method and system, which have the following beneficial effects:

[0032] 1. Track the changes of the operating coefficient Ft(t,z), set the threshold range in the moving state according to the changes of the operating coefficient Ft(t,z), and complete the evaluation and judgment of the safety of electrical equipment according to the relationship between the operating coefficient Ft(t,z) and the threshold range. Based on the judgment results, screen out risky equipment and non-risky equipment from a number of electrical equipment to narrow the scope of processing;

[0033] 2. After determining the risk equipment and non-risk equipment, perform trend analysis on the operating coefficient Ft(t, z) of the non-risk equipment to obtain the corresponding relative strength index, and use the relative strength index to screen out some electrical equipment with potential risks from a number of non-risk equipment, and use the screened out parts as risk equipment; when processing electrical equipment, not only can we screen out the parts with obvious risks, but also the parts with potential risks;

[0034] 3. Perform trend analysis on the operation coefficient Ft(t, z), re-qualify non-risk equipment based on the analysis results, confirm whether non-risk equipment has potential risks, and if so, handle it in a timely manner; obtain the corresponding maintenance priority Zs(v, n) i , when several risk equipment need to be repaired or maintained, the repair priority Zs(v,n) is obtained i , can carry out maintenance on several risk equipment in an orderly manner, and improve the efficiency of maintenance;

[0035] 4. According to the correspondence between fault characteristics and maintenance plans, the corresponding maintenance plans are matched for risk equipment, so that when performing maintenance on risk equipment, the corresponding reference plans can be quickly obtained. After the inspection is completed, the maintenance efficiency is improved, and when performing safety management on the electrical system, the safety of the electrical system is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of the electrical system safety management method of the present invention;

[0037] Figure 2 It is a schematic diagram of the structure of the electrical system safety management system of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 The present invention provides an electrical system safety management method, comprising the following steps:

[0040] Step 1: Monitor the environmental conditions of the distribution area of ​​electrical equipment in the electrical system, construct an environmental condition set in the distribution area, and generate the working environment coefficient Qr(a, b) of the electrical system from the environmental condition set. If the obtained working environment coefficient Qr(a, b) exceeds the condition threshold, issue an early warning instruction to the outside;

[0041] The step 1 includes the following contents:

[0042] Step 101: When performing safety management on the electrical system, determine the distribution area of ​​each electrical device in the electrical system, construct an electronic map covering the distribution area, use the trained classifier, divide the distribution area into a plurality of sub-areas on the electronic map according to the position of the electrical equipment in the distribution area, and number each sub-area respectively;

[0043] Step 102: Set a monitoring point in the sub-area, measure the concentration of corrosive gas in the air of the sub-area at the monitoring point, and construct the corrosion degree A(g,g) after analysis. The specific method is as follows:

[0044]

[0045] Among them, G i is the concentration of corrosive gas in each sub-area, and n is the number of sub-areas;

[0046] The air humidity is detected at the monitoring point, and the humidity B(t,t) is constructed after analysis. The specific method is as follows:

[0047]

[0048] Among them, T i is the air humidity in each sub-area, and n is the number of sub-areas;

[0049] After summarizing the corrosion degree A(g, g) and humidity B(t, t) in each sub-area, a set of environmental conditions in the distribution area is constructed;

[0050] Step 103: Generate the working environment coefficient Qr(a, b) of the electrical system from the environmental condition set. The specific method is as follows: perform linear normalization on the corrosion degree A(g, g) and the humidity degree B(t, t), map the corresponding data values ​​to the interval [0, 1], and then use the following formula:

[0051]

[0052] Weight coefficient: 0≤ζ≤1, 0≤ψ≤1, and ζ+ψ=1; the weight coefficient can be obtained by referring to the hierarchical analysis method;

[0053] Combined with historical data and safety management expectations for electrical systems, condition thresholds are pre-built. If the obtained working environment coefficient Qr(a, b) exceeds the condition threshold, it means that the air conditions in the current distribution area are relatively poor. Whether it is high air humidity or concentrated corrosive gases, they will cause certain erosion to the components inside the electrical equipment, reduce the safety of the electrical equipment, and also have a certain negative impact on its service life. At this time, an early warning instruction is issued to the outside;

[0054] When using, combine the contents in steps 101 and 103:

[0055] When it is necessary to manage the safety of the electrical system, after determining the distribution area of ​​the electrical equipment, monitor the environmental conditions of the electrical equipment in the distribution area, and use the air humidity and the concentration of corrosive gases in the air as reference points to judge the impact of environmental conditions on the electrical equipment. When the risk of environmental conditions corroding and interfering with the electrical equipment is high, the electrical equipment will have operational failures and the risk of safety accidents is obviously high. At this time, it is necessary to issue early warnings to the outside world in a timely manner so that timely processing can be made.

[0056] In the prior art: when performing safety management on electrical systems, the existing management methods usually use the continuous operating time and operating load of electrical equipment as the entry point and reference point. However, when the electrical equipment in the electrical system is in operation, if it is affected and corroded by the environment, the operating state of the electrical equipment is difficult to reach the expected or rated standard. If the electrical equipment is still managed according to the rated standard, it is easy to have deviations when judging the current operating state of the electrical equipment, which can easily lead to distortion in the safety management of the electrical system and make it difficult to effectively judge the real operating risks.

[0057] Step 2: Monitor the operating status of the electrical equipment and construct a corresponding operating coefficient set. After trend analysis of several sets of operating coefficients Ft(t, z) obtained in the operating coefficient set, mark the risk equipment from several electrical equipment.

[0058] The step 2 includes the following contents:

[0059] Step 201, set a monitoring period, for example, 1 hour or 3 hours, and within the monitoring period, there are a number of equally distributed monitoring nodes. At each monitoring node, the operating status of the electrical equipment located in each sub-area is monitored, and the operating temperature Yt and the operating load Yz of the electrical equipment are obtained respectively, and the equipment operating status set is constructed after being summarized;

[0060] Step 202: Generate the operation coefficient Ft(t, z) of each device from the operation state set, and the specific method is as follows:

[0061]

[0062] Wherein, i=1, 2, ..., m, m is a positive integer greater than 1 and is the number of monitoring nodes. is the qualified standard value of the operating temperature, is the qualified standard value of the operating load; weight coefficient: 0≤F1≤1, 0≤F2≤1, and F1+F2=1; the weight coefficient is determined by referring to the hierarchical analysis method;

[0063] Continuously obtain the operating coefficients Ft(t, z) within several monitoring cycles, and then summarize them to construct the operating coefficient set of the corresponding electrical equipment; after obtaining the operating status coefficient Ft(t, z) of the electrical equipment, the current operating status of the operating equipment can be preliminarily evaluated through the operating coefficient Ft(t, z);

[0064] Step 203: continuously obtain several groups of operating coefficients Ft(t, z) of the electrical equipment, and pre-build an upper operating threshold Qa and a lower operating threshold Qb based on historical data and safety management expectations of the electrical equipment to form a moving threshold range [Qb, Qa]. The specific method can be referred to as follows:

[0065]

[0066] Where n is the number of Ft(t, z), is the mean value of the operating coefficient;

[0067] If the operating coefficient Ft(t, z) of the electrical equipment is not within the threshold range [Qb, Qa], it means that the corresponding electrical equipment has an operating abnormality during operation and may have a greater operating risk. At this time, the corresponding electrical equipment is marked as risk equipment, and the remaining equipment is marked as non-risk equipment;

[0068] After obtaining several operating coefficients Ft(t, z) of the electrical equipment, the change of the operating coefficient Ft(t, z) is tracked, and the threshold range in the moving state is set according to the change of the operating coefficient Ft(t, z). At this time, according to the relationship between the operating coefficient Ft(t, z) and the threshold range, the safety of the electrical equipment is evaluated and judged, and based on the judgment result, risk equipment and non-risk equipment are screened out from several electrical equipment to narrow the scope of processing;

[0069] Step 204: obtain several groups of operating coefficients Ft(t, z) of non-risk equipment, arrange them along the axis according to the generation time and perform trend analysis, and use the ratio of the average value of the sum of the rising numbers of the operating coefficients Ft(t, z) in the latest several monitoring periods to the average value of the sum of the falling numbers as the relative strength index; if the strength index exceeds expectations, it means that the corresponding electrical equipment has a greater potential operating risk, and at this time, the corresponding non-risk equipment is marked as risky equipment;

[0070] When using, combine the contents in steps 201 to 204:

[0071] After determining the risk equipment and non-risk equipment, the trend analysis is performed on the operation coefficient Ft(t,z) of the non-risk equipment to obtain the corresponding relative strength index. The relative strength index is then used to screen out some electrical equipment with potential risks from a number of non-risk equipment, and the screened out parts are regarded as risk equipment. At this time, when processing the electrical equipment, not only the parts with obvious risks can be screened out, but also the parts with potential risks can be screened out.

[0072] Based on the above content, after obtaining the operating coefficient Ft(t, z) of the electrical equipment, a trend analysis is performed on the operating coefficient Ft(t, z), and the non-risk equipment is re-defined based on the analysis results to confirm whether the non-risk equipment has potential risks. If there is a potential risk, it is convenient to deal with it in a timely manner.

[0073] Step 3: After marking the risk equipment on the electronic map, the risk equipment's moving average ratio Mv and proximity center Cn are used to construct its maintenance priority Zs(v, n) during maintenance. i , and obtain the maintenance priority Zs(v,n) i Mark each risk equipment on the electronic map;

[0074] The step three includes the following contents:

[0075] Step 301: mark all risk equipment on the electronic map, obtain the moving average of the recent multiple operating coefficients Ft(t, z) of the risk equipment, and use the ratio of the current value of the operating coefficient Ft(t, z) to the corresponding moving average as the moving average ratio Mv. The specific method is as follows:

[0076]

[0077] Combined with the location of risk equipment on the electronic map, calculate the proximity center Cn of each risk equipment. The specific method is as follows:

[0078]

[0079] Where n is the total number of risk devices on the electronic map, and d(i,j) is the shortest path length from risk device i to risk device j;

[0080] Step 302: After obtaining the moving average ratio Mv and the proximity center Cn of each risk device, perform linear normalization processing, map the corresponding data values ​​to the interval [0,1], and then follow the following formula:

[0081]

[0082] Among them, k2 and k1 are weight coefficients, 0≤k1≤1, 0≤k2≤1, and k12 +k2 2 =1, is the mean of the moving average ratio, is the mean of the proximity centrality, Mv i is the moving average ratio of the ith risk equipment, Cn i is the closeness centrality of the i-th risk equipment;

[0083] To obtain the maintenance priority Zs(v,n) i Mark each risky device and display it on an electronic map;

[0084] When using, combine the contents in steps 301 and 302:

[0085] After screening out risky equipment from the existing equipment, the corresponding maintenance priority Zs(v,n) is obtained from the moving average ratio Mv and the proximity center Cn of each risky equipment. i , when several risk equipment need to be repaired or maintained, the repair priority Zs(v,n) is obtained i , it is possible to carry out maintenance on several risk equipment in an orderly manner and improve the efficiency of maintenance.

[0086] Step 4: Combine the maintenance priority of risk equipment Zs(v,n) i and its location information, orderly inspect and repair the risk equipment in the distribution area and obtain the corresponding fault characteristics, and match the corresponding maintenance plan for the risk equipment based on the fault characteristics;

[0087] The step 4 includes the following contents:

[0088] Step 401: Use sample data to train and test the initial model constructed by the path planning algorithm, obtain the trained path planning model, and combine the location information of the risk equipment and its maintenance priority Zs(v,n) i , use the trained path planning model to plan the corresponding inspection path for each risk device; perform fault detection on the risk device along the inspection path, and after setting the fault judgment criteria, identify and obtain the corresponding fault characteristics;

[0089] Step 402: determine common faults of electrical equipment according to their types, summarize maintenance plans of electrical equipment by online retrieval or offline collection, and build a corresponding maintenance plan library; match corresponding maintenance plans for risk equipment from the maintenance plan library using the trained matching model according to the correspondence between fault characteristics and maintenance plans, and use the output maintenance plan as a reference plan for maintenance of risk equipment;

[0090] When using, combine the contents in steps 401 and 402:

[0091] After orderly maintenance of risk equipment, the corresponding maintenance plan is matched for the risk equipment based on the correspondence between the fault characteristics and the maintenance plan. In this way, when performing maintenance on the risk equipment, the corresponding reference plan can be quickly obtained. After the maintenance is completed, the maintenance efficiency is improved, and the safety of the electrical system is further improved when performing safety management on the electrical system.

[0092] See also Figure 2 The present invention provides an electrical system safety management system, comprising:

[0093] The early warning unit monitors the environmental conditions of the distribution area of ​​the electrical equipment in the electrical system, constructs an environmental condition set in the distribution area, and generates the working environment coefficient of the electrical system from the environmental condition set. If the obtained working environment coefficient exceeds the condition threshold, an early warning instruction is issued to the outside.

[0094] The monitoring unit monitors the operating status of the electrical equipment and constructs a corresponding operating coefficient set, performs trend analysis on several sets of operating coefficients obtained in the operating coefficient set, and marks risky equipment from several electrical equipment;

[0095] The analysis unit marks the risk equipment on the electronic map, constructs the maintenance priority of the risk equipment during maintenance based on the moving average ratio and proximity center of the risk equipment, and marks each risk equipment on the electronic map based on the obtained maintenance priority;

[0096] The planning unit, based on the maintenance priority and location information of the risk equipment, orderly repairs the risk equipment in the distribution area and obtains the corresponding fault characteristics, and matches the corresponding maintenance plan for the risk equipment based on the fault characteristics.

[0097] It should be noted that:

[0098] The analytic hierarchy process is a qualitative and quantitative analysis method that can decompose complex problems into multiple levels. By comparing the importance of factors at each level, it can help decision makers make decisions on complex problems and determine the final decision plan. In this process, the analytic hierarchy process can be used to determine the weight coefficients of these indicators; the steps of the analytic hierarchy process are as follows:

[0099] Clarify the problem: First, you need to clarify the decision problem and determine the decision goals and alternatives;

[0100] Establish a hierarchical model: According to the nature of the problem and the decision-making goal, the problem is decomposed into different levels, usually including the goal level, the criterion level and the solution level; the goal level is the overall goal of the decision-making problem, the criterion level is the criterion used to evaluate alternative solutions, and the solution level is the alternative solutions;

[0101] Construct a judgment matrix: Construct a judgment matrix by comparing the importance of elements in the same level relative to an element in the previous level. The elements in the judgment matrix represent the ratio of the relative importance of two elements;

[0102] Hierarchical single sorting: Based on the judgment matrix, the relative importance ranking weight of elements in the same level relative to an element in the previous level is calculated. This process is called hierarchical single sorting;

[0103] Consistency test: Check the consistency of the judgment matrix, that is, check whether the judgment matrix meets the consistency condition. If the consistency condition is met, the hierarchical single sorting result is considered reasonable;

[0104] Total ranking of levels: Calculate the composite weight of each layer element to the system goal, and perform total ranking to determine the total ranking weight of each element at the bottom layer of the hierarchical structure diagram;

[0105] Through the analytic hierarchy process, decision makers can break down complex decision-making problems into different levels and make decisions based on qualitative and quantitative analysis; this method can improve the accuracy and effectiveness of decision-making, and is particularly suitable for complex problems that are difficult to solve with quantitative methods.

[0106] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0107] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0108] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0109] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only for some logical functions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0111] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0112] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0113] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0114] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for safety management of an electrical system, characterized in that: The following steps are included: Monitor the environmental conditions of the distribution area of ​​electrical equipment, build a set of environmental conditions in the distribution area, and generate the working environment coefficient Qr(a,b) of the electrical system from the set of environmental conditions. If the obtained working environment coefficient Qr(a,b) exceeds the condition threshold, issue an early warning instruction to the outside. Monitor the operating status of electrical equipment and construct a corresponding operating coefficient set. After trend analysis of several sets of operating coefficients Ft(t,z) obtained in the operating coefficient set, mark risk equipment from several electrical equipment. Mark the risk equipment on the electronic map, and construct its maintenance priority Zs(v,n) during maintenance based on the moving average ratio Mv and proximity center Cn of the risk equipment. i , and obtain the maintenance priority Zs(v,n) i Mark each risk equipment on the electronic map; Combined with the maintenance priority of risk equipment Zs(v,n) i and its location information, orderly inspect and repair the risk equipment in the distribution area and obtain the corresponding fault characteristics, and match the corresponding maintenance plan for the risk equipment based on the fault characteristics.

2. An electrical system safety management method according to claim 1, characterized in that: The distribution area of ​​each electrical device in the electrical system is obtained, an electronic map covering the distribution area is constructed, and the distribution area is divided into several sub-areas on the electronic map according to the position of the electrical equipment in the distribution area using the trained classifier.

3. The electrical system safety management method according to claim 1, characterized in that: Monitoring points are set up in the sub-areas to measure the concentration of corrosive gases and air humidity in the air of the sub-areas at the monitoring points. After analysis, the corrosion degree A(g,g) and humidity B(t,t) are constructed. After summarizing, a set of environmental conditions in the distribution area is constructed.

4. The electrical system safety management method according to claim 1, characterized in that: There are several equally distributed monitoring nodes in the monitoring period. At each monitoring node, the operating status of the electrical equipment in each sub-area is monitored, and the operating temperature Yt and operating load Yz of the electrical equipment are obtained respectively, and then the equipment operating status set is constructed after aggregation; The operating coefficient Ft(t,z) of each device is generated from the operating status set, and the operating coefficient Ft(t,z) within several monitoring cycles is continuously obtained, and the operating coefficient set of the corresponding electrical equipment is constructed after being summarized.

5. The electrical system safety management method according to claim 4, characterized in that: Continuously obtain several groups of operating coefficients Ft(t,z) of electrical equipment, and pre-build a threshold range [Qb, Qa]. If the operating coefficient Ft(t,z) of the electrical equipment is not within the threshold range [Qb, Qa], the corresponding electrical equipment will be marked as risky equipment, and the remaining equipment will be marked as non-risky equipment.

6. An electrical system safety management method according to claim 5, characterized in that: Obtain several groups of operating coefficients Ft(t,z) of non-risk equipment, arrange them along the axis according to the generation time and perform trend analysis to obtain the relative strength index; if the strength index exceeds expectations, mark the corresponding non-risk equipment as risky equipment.

7. An electrical system safety management method according to claim 6, characterized in that: Mark all risk equipment on the electronic map, obtain the moving average of the recent multiple operating coefficients Ft(t,z) of the risk equipment, and use the ratio of the current value of the operating coefficient Ft(t,z) to the corresponding moving average as the moving average ratio Mv; combined with the position of the risk equipment on the electronic map, calculate the proximity center Cn of each risk equipment.

8. The electrical system safety management method according to claim 1, characterized in that: Obtain the trained path planning model, combined with the location information of risk equipment and its maintenance priority Zs(v,n) i , use the trained path planning model to plan the corresponding inspection path for each risk equipment; Perform fault detection on risky equipment along the inspection path, and after setting the fault judgment criteria, identify and obtain the corresponding fault characteristics.

9. An electrical system safety management method according to claim 8, characterized in that: The maintenance plans for electrical equipment are summarized and a corresponding maintenance plan library is constructed. Based on the correspondence between fault characteristics and maintenance plans, the trained matching model is used to match the corresponding maintenance plans for risky equipment from the maintenance plan library, and the output maintenance plans are used as reference plans for maintenance of risky equipment.

10. An electrical system safety management system, characterized in that: include: The early warning unit monitors the environmental conditions of the distribution area of ​​the electrical equipment in the electrical system, constructs an environmental condition set in the distribution area, and generates the working environment coefficient of the electrical system from the environmental condition set. If the obtained working environment coefficient exceeds the condition threshold, an early warning instruction is issued to the outside. The monitoring unit monitors the operating status of the electrical equipment and constructs a corresponding operating coefficient set, performs trend analysis on several sets of operating coefficients obtained in the operating coefficient set, and marks risky equipment from several electrical equipment; The analysis unit marks the risk equipment on the electronic map, constructs the maintenance priority of the risk equipment during maintenance based on the moving average ratio and proximity center of the risk equipment, and marks each risk equipment on the electronic map based on the obtained maintenance priority; The planning unit, based on the maintenance priority and location information of the risk equipment, orderly repairs the risk equipment in the distribution area and obtains the corresponding fault characteristics, and matches the corresponding maintenance plan for the risk equipment based on the fault characteristics.

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