Industrial park electrical potential safety hazard management method and system

Abstract

The invention discloses an industrial park electrical potential safety hazard management method and system, and the system comprises a positioning and partitioning module, a data collection module, a potential safety hazard analysis module, an evaluation and early warning module, and a maintenance and dispatching module, and relates to the technical field of electrical safety management. According to the technical key points, a data safety calculation model is established, analysis and calculation are carried out by using operation parameters and equipment monitoring quantity, the potential safety hazard of the electrical equipment can be quantitatively evaluated, then comprehensive calculation is carried out by using the equipment monitoring quantity and fault frequency again, and a ratio index can be obtained. According to the system and the method, the matching processing of the maintainers can be completed subsequently according to conditions, resources are fully utilized, the working efficiency is also improved, safety evaluation, refined personnel dispatching and resource optimization are carried out through data comprehensive calculation, the equipment maintenance efficiency and quality can be improved, the safety risk is reduced, and the stability and reliability of the system are improved.

Description

Technical Field

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

[0002] Electrical safety management is a management method that involves a series of measures and management methods used by enterprises and individuals when using electrical equipment and electrical systems to ensure electrical safety and personal safety. The specific content of this method can be summarized into three parts: First, formulate and implement rules and regulations and operating procedures related to electrical safety management, covering safety standards for all aspects from installation, maintenance to operation and overhaul of electrical equipment; second, conduct electrical safety management training for staff to enhance their safety awareness and operating ability of electrical equipment and electrical systems, and cultivate their safety awareness and skills; third, conduct regular safety inspections and maintenance of electrical equipment and electrical systems. Once problems are found, they should be handled in a timely manner to ensure the safe operation of the equipment. However, due to the limitations of maintenance personnel, this requires that during the inspection process, some more serious equipment should be given priority for overhaul according to the degree of safety hazards of electrical equipment.

[0003] The existing application publication number is: CN110323836A, and the document named "A system for monitoring electricity safety hazards based on a secure cloud platform and its working method" points out the technical solution including: a high-voltage power supply box, a low-voltage distribution cabinet and a floor distribution box, wherein the high-voltage power supply box, the low-voltage distribution cabinet and the floor distribution box are all equipped with electrical data acquisition terminals, the electrical data acquisition terminals are connected to the management cloud platform, the management cloud platform is connected to the operation and maintenance server, and the operation and maintenance server is connected to the user terminal; although the present invention collects electrical data in each area through the electrical data acquisition terminals in each area, and transmits the data to the management cloud platform in real time, timely discovers electrical safety hazards, and performs sound and light alarms, thereby realizing supervision and management of electricity safety hazards, which can effectively reduce electricity-related accidents and improve the level of electricity services, but does not take into account the subsequent processing work of arranging maintenance arrangements for electrical equipment with safety hazards.

[0004] In combination with the above documents and existing technologies, when performing safety protection tasks for electrical equipment in the park, we need to monitor the operating conditions of various types of equipment in real time, and then regularly dispatch maintenance engineers for maintenance based on the results of monitoring data analysis. However, in actual operations, such as safety management of control equipment in the park, although these devices can judge the severity of safety risks based on the failure of each device, this alone cannot guarantee timely repairs, which may bring serious risk problems. For example, if a certain device is not very important and is only responsible for controlling some non-critical components, while other devices have more serious failures, but are responsible for a large number of critical devices, then we need to deal with that device first. At the same time, in the process of arranging maintenance personnel, we also need to consider their ability level. Generally speaking, the higher the risk, the higher the qualifications of the maintenance personnel required, which requires adjustments in personnel deployment to improve work efficiency. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for managing electrical safety hazards in industrial parks. By building a data safety calculation model and using operating parameters and equipment monitoring quantities for analysis and calculation, it is possible to quantitatively evaluate the safety hazards of electrical equipment. Then, the equipment monitoring quantities are used again to perform a comprehensive calculation with the fault frequency to obtain a matching index, which is convenient for subsequent matching of maintenance personnel according to the situation. This not only makes full use of resources but also improves work efficiency. By performing safety assessment, refined personnel dispatch and resource optimization through comprehensive data calculation, it is possible to improve equipment maintenance efficiency and quality, reduce safety risks, and improve the stability and reliability of the system, thereby solving the problems raised in the background technology.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] An industrial park electrical safety hazard management system, comprising:

[0010] Positioning partition module, evenly divide the selected industrial park into M partitions;

[0011] The data acquisition module obtains the historical data set of the electrical equipment in each partition within a preset operation period T, and the historical data set includes the operating parameters of the electrical equipment, the equipment monitoring quantity and the fault frequency;

[0012] The hidden danger analysis module builds a data security calculation model based on the operating parameters and equipment monitoring quantity, generates the safety hidden danger assessment index Sai corresponding to the electrical equipment in the same partition, and calculates and generates the matching index I based on the equipment monitoring quantity and failure frequency of each electrical equipment;

[0013] The evaluation and early warning module compares the safety hazard evaluation value index Sai corresponding to each partition with the preset index threshold. When the safety hazard evaluation value index Sai exceeds the index threshold, a warning signal is issued. According to the constructed rule engine, electrical equipment with different matching indexes I are allocated to maintenance personnel with corresponding rating coefficients. The corresponding maintenance personnel’s working years and number of training and assessment passes are obtained, and a rating analysis model is built to generate the rating coefficient Rft of the corresponding maintenance personnel.

[0014] The maintenance dispatch module sorts the partitions that issue warning signals according to the size of the safety hazard assessment value index Sai, generates a sorting table P, and gives the work order for dispatching maintenance personnel based on the sorting table P. When dispatching maintenance personnel to repair the electrical equipment in the corresponding partition, the electrical equipment of the corresponding level is assigned to the maintenance personnel of the corresponding level based on the matching results.

[0015] Furthermore, the electrical equipment managed in the industrial park includes control equipment, and M of the M partitions divided in the industrial park is 1, 2, 3, ... n, where n is a positive integer.

[0016] Furthermore, the operating parameters in the data acquisition module include current, voltage and leakage current, where the current and voltage represent the real-time operating current and voltage of a single corresponding electrical device, and the leakage current represents the current that leaks into the ground wire through the insulating material of the electrical device.

[0017] Furthermore, the process of generating the safety hazard assessment value index Sai corresponding to the electrical equipment in the same partition is as follows:

[0018] S101. Calculate the safety hazard assessment index Z of a single electrical device in the same zone based on the following formula:

[0019] Z=α*(Xd-B)+β*((Ut*It) max -(Ut*It) min )

[0020] In the formula, Xd represents the leakage current, B represents the safety standard value of the leakage current, (Xd-B) represents the difference between the leakage current and its safety standard value, Ut represents the voltage, It represents the current, and (Ut*It) max Indicates the maximum value of the actual output power within the preset operation cycle T, (Ut*It) min Indicates the minimum value of the actual output power within the preset operation cycle T, (Ut*It)max -Ut*It) min represents the difference between the maximum and minimum values ​​of the actual output power within the preset operation cycle T, α and β are weight coefficients of the difference between the leakage current and its safety standard value, and the difference between the maximum and minimum values ​​of the actual output power within the preset operation cycle T, respectively, and α>β>0;

[0021] S102, extracting some safety hazard assessment indexes Z that exceed the standard threshold nt in the same partition t , and according to the equipment monitoring quantity, calculate the safety hazard assessment value index Sai corresponding to the electrical equipment in a zone. The calculation formula is as follows:

[0022]

[0023] In the formula, Z t The t in the table represents the number of safety hazard assessment indexes exceeding the standard threshold nt in the same partition, and t = 1, 2, ..., n, where n is a positive integer. Sj represents the average value of the safety hazard assessment index exceeding the standard threshold nt. 总 It indicates the total amount of equipment monitoring in some electrical equipment whose safety hazard assessment index exceeds the standard threshold nt. F1 and F2 are and Sj 总 The preset proportional coefficient is F1>F2>0.

[0024] Furthermore, the process of calculating and generating the ratio index I is as follows:

[0025] I=C1*Sj+C2*Gp

[0026] Where Sj represents the equipment monitoring quantity of each electrical equipment, Gp represents the failure frequency of each electrical equipment, C1 and C2 are the weight coefficients of the equipment monitoring quantity and the failure frequency, respectively, and C1>C2>0.

[0027] Furthermore, after comparing the safety hazard assessment value index Sai corresponding to each partition with the preset index threshold, when the safety hazard assessment value index Sai does not exceed the index threshold, the system does not take any response action.

[0028] Furthermore, the process of generating the rating coefficient Rft of the corresponding maintenance personnel is as follows:

[0029] Rft=G*(h1*gn+h2*nx)

[0030] In the formula, gn represents the working years of the corresponding maintenance personnel, nx represents the number of times the corresponding maintenance personnel have passed the training assessment, h1 and h2 are the preset proportional coefficients of the working years and the number of times the training assessment has been passed, respectively, and h2>h1>0.

[0031] Furthermore, the matching index I is compared with the preset matching threshold value Iol. If the matching index I exceeds the matching threshold value Iol, the corresponding electrical equipment is marked as level one; if the matching index I does not exceed the matching threshold value Iol, the corresponding electrical equipment is marked as level two; the rating coefficient Rft of the maintenance personnel is compared with the preset rating threshold value Rol. If the rating coefficient Rft exceeds the rating threshold value Rol, the corresponding maintenance personnel is marked as level one; if the rating coefficient Rft does not exceed the rating threshold value Rol, the corresponding maintenance personnel is marked as level two. During the maintenance process, the marked electrical equipment and maintenance personnel are matched in level to obtain a matching result.

[0032] Furthermore, each safety hazard assessment value index Sai in the sorting table P is sorted in descending order.

[0033] A method for managing electrical safety hazards in an industrial park, comprising the following steps:

[0034] S1. Divide the selected industrial park into M zones evenly;

[0035] S2. Obtain a historical data set of electrical equipment in each partition within a preset operation cycle T, where the historical data set includes operating parameters, equipment monitoring quantities, and fault frequencies of the electrical equipment, and the operating parameters include current, voltage, and leakage current;

[0036] S3. Build a data security calculation model based on the operating parameters and equipment monitoring quantity, generate the safety hazard assessment index Sai corresponding to the electrical equipment in the same partition, and calculate and generate the matching index I based on the equipment monitoring quantity and failure frequency of each electrical equipment;

[0037] S4. Compare the safety hazard assessment value index Sai corresponding to each partition with the preset index threshold. When the safety hazard assessment value index Sai exceeds the index threshold, a warning signal is issued. When the safety hazard assessment value index Sai does not exceed the index threshold, the system does not respond. According to the constructed rule engine, the electrical equipment with different ratio indexes I are allocated to the maintenance personnel with the corresponding rating coefficients. The working years and training assessment pass times of the corresponding maintenance personnel are obtained, and a rating analysis model is built to generate the rating coefficient Rft of the corresponding maintenance personnel.

[0038] S5. Sort the partitions that issue warning signals according to the size of the safety hazard assessment value index Sai, generate a sorting table P, and give the work order for dispatching maintenance personnel based on the sorting table P. When dispatching maintenance personnel to repair the electrical equipment in the corresponding partition, the electrical equipment of the corresponding level is allocated to the maintenance personnel of the corresponding level based on the matching results.

[0039] (III) Beneficial effects

[0040] The present invention provides an industrial park electrical safety hazard management method and system, which has the following beneficial effects:

[0041] 1. By building a data safety calculation model, using operating parameters and equipment monitoring data for analysis and calculation, the potential safety hazards of electrical equipment are quantitatively evaluated. Then, the equipment monitoring data is used again for comprehensive calculation with the fault frequency to obtain a matching index, which is convenient for subsequent matching of maintenance personnel according to the situation. This not only makes full use of resources, but also improves work efficiency. Safety assessment, refined personnel dispatch and resource optimization through comprehensive data calculation can improve equipment maintenance efficiency and quality, reduce safety risks, and improve system stability and reliability.

[0042] 2. By sorting each partition through the evaluation value index, we can better understand the safety hazards of the equipment and reasonably arrange the work order of maintenance personnel. This optimized resource utilization can improve the effect of equipment maintenance. By timely and effectively inspecting and maintaining the partitions with greater safety hazards, the risk of accidents can be reduced and the safety of electrical equipment can be improved. In addition, according to the sorting of safety hazard evaluation value indicators, maintenance personnel can perform maintenance on specific risk points, further increasing the accuracy and safety of maintenance work. This solution can improve the efficiency, accuracy and safety of maintenance work by considering safety hazard evaluation value indicators, personnel skill matching and optimization of work order. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a schematic diagram of the module structure of an industrial park electrical safety hazard management system in the present invention;

[0044] Figure 2 The present invention is a flowchart of the overall steps of an industrial park electrical safety hazard management method. DETAILED DESCRIPTION

[0045] 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.

[0046] Example 1: Please refer to Figure 1,This embodiment provides an industrial park electrical safety hazard management system, which includes a positioning and zoning module, a data acquisition module, a hazard analysis module, an assessment and early warning module, and a maintenance dispatch module. The management system dispatches maintenance personnel to inspect or maintain safety hazards or faults in the industrial park, thereby ensuring the safety of electrical use in the industrial park to a certain extent;

[0047] Positioning partition module, evenly divide the selected industrial park into M partitions;

[0048] Each partition must be equipped with electrical equipment, and partitions without electrical equipment must be removed. Each partition must be located using positioning technology, including GPS or RFID, to locate the electrical equipment in each partition, which is convenient for subsequent management and maintenance, and also provides positioning directions for subsequent maintenance.

[0049] It should be noted that the electrical equipment managed in this application is a control device, i.e. a PLC controller with a human-machine interactive interface, which is used to automatically control and monitor one or some equipment in the electrical system;

[0050] M = 1, 2, 3, ... n, n is a positive integer;

[0051] The data acquisition module obtains the historical data set of the electrical equipment in each partition within the preset operation cycle T, and the historical data set includes the operating parameters of the electrical equipment, the equipment monitoring quantity and the fault frequency; the preset operation cycle T can be set according to actual needs;

[0052] Among them, the operating parameters include current, voltage and leakage current;

[0053] Current and voltage represent the real-time operating current and voltage of a single corresponding electrical device. The current of electrical equipment is one of the important indicators for evaluating the safety of equipment operation. When the current exceeds the rated capacity or design limit of the equipment, it may cause safety hazards such as equipment overheating, arc flash over or electrical fire. For example, an overloaded motor may overheat and burn due to excessive current. The voltage stability of electrical equipment is a key parameter to ensure the normal operation of the equipment. Voltage fluctuations or excessively high voltage may cause electrical equipment components to fail, short circuit, overload and other problems. For example, electrical equipment receiving excessively high voltage may cause electronic components to burn.

[0054] Leakage current is one of the important parameters for measuring equipment safety. Leakage current that exceeds the specified leakage current range of the equipment may indicate that the equipment has insulation failure or other safety hazards. For example, if the leakage current of electrical equipment exceeds the safety limit, it may cause electric shock injuries to people when touching these devices. Leakage current refers to the current that leaks through the insulation material of the equipment to the ground wire or other media. It is caused by poor insulation performance of the equipment or insulation failure. The method of obtaining it is as follows: The direct measurement method is to connect the equipment to the ground wire and use a dedicated measuring instrument to measure the leakage current from the equipment to the ground wire. This method requires professional measuring instruments and techniques and is usually used for regular maintenance and overhaul of electrical equipment. The current and voltage can be directly detected and obtained through the corresponding sensors, and the rated power of the equipment can be obtained by reading the product manual.

[0055] Equipment monitoring quantity: indicates the equipment quantity covered by the electrical equipment during detection and control operations. For example, a terminal control device detects or controls some devices in the same area. The total number of these devices is 39 groups. The equipment monitoring quantity of this control device is 39. The equipment monitoring quantity at this location can be obtained during the actual assembly and operation process.

[0056] Fault frequency: indicates the number of faults that occur in the corresponding electrical equipment within the preset operation cycle T. It can be obtained by analyzing and obtaining historical data. The fault frequency is used to select the corresponding maintenance personnel according to the needs in the future;

[0057] The hidden danger analysis module builds a data security calculation model based on the operating parameters and equipment monitoring quantity, generates the safety hidden danger assessment index Sai corresponding to the electrical equipment in the same partition, and calculates and generates the matching index I based on the equipment monitoring quantity and failure frequency of each electrical equipment;

[0058] Among them, the process of generating the safety hazard assessment value index Sai corresponding to the electrical equipment in the same partition is as follows:

[0059] S101. Calculate the safety hazard assessment index Z of a single electrical device in the same zone based on the following formula:

[0060] Z=α*(Xd-B)+β*((Ut*It) max -(Ut*It) min )

[0061] In the formula, Xd represents the leakage current, B represents the safety standard value of the leakage current, (Xd-B) represents the difference between the leakage current and its safety standard value, Ut represents the voltage, It represents the current, and (Ut*It) max Indicates the maximum value of the actual output power within the preset operation cycle T, (Ut*It) minIndicates the minimum value of the actual output power within the preset operation cycle T, (Ut*It) max -Ut*It) min represents the difference between the maximum and minimum values ​​of the actual output power within the preset operation cycle T, α and β are the weight coefficients of the difference between the leakage current and its safety standard value, and the difference between the maximum and minimum values ​​of the actual output power within the preset operation cycle T, respectively, and α>β>0, α=2β; it should be noted that the leakage current is the value corresponding to the leakage current that just appeared within the preset cycle T;

[0062] S102, extracting some safety hazard assessment indexes Z that exceed the standard threshold nt in the same partition t , and according to the equipment monitoring quantity, calculate the safety hazard assessment value index Sai corresponding to the electrical equipment in a zone. The calculation formula is as follows:

[0063]

[0064] In the formula, Z t The t in the table represents the number of safety hazard assessment indexes exceeding the standard threshold nt in the same partition, and t = 1, 2, ..., n, where n is a positive integer. Sj represents the average value of the safety hazard assessment index exceeding the standard threshold nt. 总 It indicates the total amount of equipment monitoring in some electrical equipment whose safety hazard assessment index exceeds the standard threshold nt. F1 and F2 are and Sj 总 The preset proportional coefficient is F1>F2>0, and the value range of F1 and F2 is 0~1;

[0065] The process of calculating and generating the matching index I is as follows:

[0066] I=C1*Sj+C2*Gp

[0067] In the formula, Sj represents the equipment monitoring quantity of each electrical equipment, Gp represents the fault frequency of each electrical equipment, C1 and C2 are the weight coefficients of the equipment monitoring quantity and the fault frequency respectively, and C1>C2>0, and the value ranges of C1 and C2 are both 0~1.

[0068] The evaluation and early warning module compares the safety hazard evaluation index Sai corresponding to each partition with the preset index threshold. When the safety hazard evaluation index Sai exceeds the index threshold, it indicates that there is a safety hazard in the corresponding partition. The higher the safety hazard evaluation index Sai is, the greater the severity of the safety hazard is, and an early warning signal needs to be issued. Otherwise, the system does not respond. Based on the constructed rule engine, electrical equipment with different matching indexes I are assigned to maintenance personnel with corresponding rating coefficients. The corresponding maintenance personnel’s working years and training assessment pass times are obtained, and a rating analysis model is built to generate the rating coefficient Rft of the corresponding maintenance personnel.

[0069] The process of generating the rating coefficient Rft of the corresponding maintenance personnel is as follows:

[0070] Rft=G*(h1*gn+h2*nx)

[0071] In the formula, gn represents the working years of the corresponding maintenance personnel, nx represents the number of times the corresponding maintenance personnel have passed the training assessment, h1 and h2 are the preset proportional coefficients of the working years and the number of times the training assessment has been passed, h2>h1>0, and the value ranges of h1 and h2 are both 0~1. The specific value of G can be adjusted and set by the user, or generated by the analysis function fitting, and the value range of G is 0~1;

[0072] According to the constructed rule engine, the process of allocating electrical equipment with different matching indexes I to maintenance personnel with corresponding rating coefficients is as follows:

[0073] In the same partition, each electrical equipment that needs maintenance has its corresponding matching index I. The matching index I is compared with the preset matching threshold value Iol. If the matching index I exceeds the matching threshold value Iol, the corresponding electrical equipment is marked as level one. If the matching index I does not exceed the matching threshold value Iol, the corresponding electrical equipment is marked as level two. The rating coefficient Rft of the maintenance personnel is compared with the preset rating threshold value Rol. If the rating coefficient Rft exceeds the rating threshold value Rol, the corresponding maintenance personnel is marked as level one. If the rating coefficient Rft does not exceed the rating threshold value Rol, the corresponding maintenance personnel is marked as level two. During the maintenance process, the marked electrical equipment and maintenance personnel are matched in level to obtain a matching result.

[0074] Specifically, by building a data safety calculation model and using operating parameters and equipment monitoring quantities for analysis and calculation, it is possible to quantitatively evaluate the safety hazards of electrical equipment. Compared with traditional subjective judgment methods, this data-driven evaluation can identify safety hazards more objectively and accurately. By reusing equipment monitoring quantities and performing comprehensive calculations with fault frequencies, it is possible to derive matching indicators, which is convenient for subsequent matching of maintenance personnel according to the situation, which not only makes full use of resources but also improves work efficiency. Overall, the above scheme can improve equipment maintenance efficiency and quality, reduce safety risks, and improve system stability and reliability through data-driven safety assessments, refined personnel dispatch, and resource optimization.

[0075] The maintenance dispatch module sorts the partitions that issue warning signals according to the size of the safety hazard assessment value index Sai, generates a sorting table P, and gives the work order of dispatching maintenance personnel based on the sorting table P, and performs maintenance or maintenance in sequence. When dispatching maintenance personnel to repair electrical equipment in the corresponding partition, the corresponding level of electrical equipment is assigned to the corresponding level of maintenance personnel based on the matching results;

[0076] Among them, in the sorting table P, the higher the ranking is, the greater the safety hazard assessment value index Sai is, so the safety hazard assessment value index Sai in the sorting table P is sorted in order from large to small;

[0077] By sorting each partition according to the safety hazard assessment value index, the partition with the greatest safety hazard can be placed in the front and given priority for inspection or maintenance. This work order can improve work efficiency and ensure that key partitions and equipment are maintained in a timely manner. At the same time, according to the sorting table P, electrical equipment of corresponding levels is allocated to maintenance personnel with corresponding skills and experience levels. This precise personnel dispatch can ensure that each maintenance personnel works in the field he or she is good at, giving full play to his or her professional skills and improving the quality and efficiency of maintenance.

[0078] By sorting each partition by evaluation value index, we can better understand the safety hazards of the equipment, so as to reasonably arrange the work order of maintenance personnel. This optimized resource utilization can improve the effect of equipment maintenance and avoid delays or missed inspections caused by improper resource arrangement. By timely and effectively inspecting and maintaining the partitions with greater safety hazards, the risk of accidents can be reduced and the safety of electrical equipment can be improved. In addition, according to the sorting of safety hazard evaluation value indicators, maintenance personnel can perform maintenance on specific risk points, further increasing the accuracy and safety of maintenance work;

[0079] In general, this solution can improve the efficiency, accuracy and safety of maintenance work by considering safety hazard assessment value indicators, personnel skill matching and optimization of work sequence, thus bringing more benefits to equipment maintenance.

[0080] Example 2: Please refer to Figure 2 Based on Example 1, this embodiment also provides an industrial park electrical safety hazard management method, including the following specific steps:

[0081] S1. Divide the selected industrial park into M zones evenly;

[0082] S2. Obtain a historical data set of electrical equipment in each partition within a preset operation cycle T, where the historical data set includes operating parameters, equipment monitoring quantities, and fault frequencies of the electrical equipment, and the operating parameters include current, voltage, and leakage current;

[0083] S3. Build a data security calculation model based on the operating parameters and equipment monitoring quantity, generate the safety hazard assessment index Sai corresponding to the electrical equipment in the same partition, and calculate and generate the matching index I based on the equipment monitoring quantity and failure frequency of each electrical equipment;

[0084] S4. Compare the safety hazard assessment value index Sai corresponding to each partition with the preset index threshold. When the safety hazard assessment value index Sai exceeds the index threshold, a warning signal is issued. When the safety hazard assessment value index Sai does not exceed the index threshold, the system does not respond. According to the constructed rule engine, the electrical equipment with different ratio indexes I are allocated to the maintenance personnel with the corresponding rating coefficients. The working years and training assessment pass times of the corresponding maintenance personnel are obtained, and a rating analysis model is built to generate the rating coefficient Rft of the corresponding maintenance personnel.

[0085] S5. Sort the partitions that issue warning signals according to the size of the safety hazard assessment value index Sai, generate a sorting table P, and give the work order for dispatching maintenance personnel based on the sorting table P. When dispatching maintenance personnel to repair the electrical equipment in the corresponding partition, the electrical equipment of the corresponding level is allocated to the maintenance personnel of the corresponding level based on the matching results.

[0086] In the application, the several formulas involved are all calculated by removing the dimensions and taking their numerical values. The formula is a formula of the most recent real situation obtained by collecting a large amount of data and performing software simulation. At the same time, the corresponding thresholds preset in this application are set by technical personnel in this field based on actual conditions or historical data.

[0087] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in 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.

[0088] 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, and 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.

[0089] 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. An electrical safety hazard management system for an industrial park, characterized in that: include: Positioning partition module, evenly divide the selected industrial park into M partitions; The data acquisition module obtains the historical data set of the electrical equipment in each partition within a preset operation period T, and the historical data set includes the operating parameters of the electrical equipment, the equipment monitoring quantity and the fault frequency; The hidden danger analysis module builds a data security calculation model based on the operating parameters and equipment monitoring quantity, generates the safety hidden danger assessment index Sai corresponding to the electrical equipment in the same partition, and calculates and generates the matching index I based on the equipment monitoring quantity and failure frequency of each electrical equipment; The evaluation and early warning module compares the safety hazard evaluation value index Sai corresponding to each partition with the preset index threshold. When the safety hazard evaluation value index Sai exceeds the index threshold, a warning signal is issued. According to the constructed rule engine, electrical equipment with different matching indexes I are allocated to maintenance personnel with corresponding rating coefficients. The corresponding maintenance personnel’s working years and number of training and assessment passes are obtained, and a rating analysis model is built to generate the rating coefficient Rft of the corresponding maintenance personnel. The maintenance dispatch module sorts the partitions that issue warning signals according to the size of the safety hazard assessment value index Sai, generates a sorting table P, and gives the work order for dispatching maintenance personnel based on the sorting table P. When dispatching maintenance personnel to repair the electrical equipment in the corresponding partition, the electrical equipment of the corresponding level is assigned to the maintenance personnel of the corresponding level based on the matching results.

2. The electrical safety hazard management system for industrial parks according to claim 1 is characterized by: The electrical equipment managed in the industrial park includes control equipment, and M of the M partitions divided in the industrial park is 1, 2, 3, ... n, where n is a positive integer.

3. The electrical safety hazard management system for industrial parks according to claim 2 is characterized by: The operating parameters in the data acquisition module include current, voltage and leakage current. The current and voltage represent the real-time operating current and voltage of a single corresponding electrical device. The leakage current represents the current that leaks into the ground wire through the insulating material of the electrical device.

4. The electrical safety hazard management system for industrial parks according to claim 3 is characterized by: The process of generating the safety hazard assessment value index Sai corresponding to the electrical equipment in the same partition is as follows: S101. Calculate the safety hazard assessment index Z of a single electrical device in the same zone based on the following formula: Z=α*(Xd-B)+β*((Ut*It) max -(Ut*It) min ) In the formula, Xd represents the leakage current, B represents the safety standard value of the leakage current, (Xd-B) represents the difference between the leakage current and its safety standard value, Ut represents the voltage, It represents the current, and (Ut*It) max Indicates the maximum value of the actual output power within the preset operation cycle T, (Ut*It) min Indicates the minimum value of the actual output power within the preset operation cycle T, (Ut*It) max -(Ut*It) min represents the difference between the maximum and minimum values ​​of the actual output power within the preset operation cycle T, α and β are weight coefficients of the difference between the leakage current and its safety standard value, and the difference between the maximum and minimum values ​​of the actual output power within the preset operation cycle T, respectively, and α>β>0; S102, extracting some safety hazard assessment indexes Z that exceed the standard threshold nt in the same partition t , and according to the equipment monitoring quantity, calculate the safety hazard assessment value index Sai corresponding to the electrical equipment in a zone. The calculation formula is as follows: In the formula, Z t The t in the table represents the number of safety hazard assessment indexes exceeding the standard threshold nt in the same partition, and t = 1, 2, ..., n, where n is a positive integer. Sj represents the average value of the safety hazard assessment index exceeding the standard threshold nt. 总 It indicates the total amount of equipment monitoring in some electrical equipment whose safety hazard assessment index exceeds the standard threshold nt. F1 and F2 are and Sj 总 The preset proportional coefficient is F1>F2>0.

5. The electrical safety hazard management system for industrial parks according to claim 4 is characterized by: The process of calculating and generating the matching index I is as follows: I=C1*Sj+C2*Gp Where Sj represents the equipment monitoring quantity of each electrical equipment, Gp represents the failure frequency of each electrical equipment, C1 and C2 are the weight coefficients of the equipment monitoring quantity and failure frequency respectively, and C1>C2>0.

6. The electrical safety hazard management system for industrial parks according to claim 5 is characterized by: After comparing the safety hazard assessment value index Sai corresponding to each partition with the preset index threshold, when the safety hazard assessment value index Sai does not exceed the index threshold, the system does not take any response action.

7. The electrical safety hazard management system for industrial parks according to claim 6 is characterized by: The process of generating the rating factor Rft of the corresponding maintenance personnel is as follows: Rft=G*(h1*gn+h2*nx) In the formula, gn represents the working years of the corresponding maintenance personnel, nx represents the number of times the corresponding maintenance personnel have passed the training assessment, h1 and h2 are the preset proportional coefficients of the working years and the number of times the training assessment has been passed, respectively, and h2>h1>0.

8. The electrical safety hazard management system for industrial parks according to claim 7 is characterized by: The matching index I is compared with the preset matching threshold value Iol. If the matching index I exceeds the matching threshold value Iol, the corresponding electrical equipment is marked as level one. If the matching index I does not exceed the matching threshold value Iol, the corresponding electrical equipment is marked as level two. The rating coefficient Rft of the maintenance personnel is compared with the preset rating threshold value Rol. If the rating coefficient Rft exceeds the rating threshold value Rol, the corresponding maintenance personnel is marked as level one. If the rating coefficient Rft does not exceed the rating threshold value Rol, the corresponding maintenance personnel is marked as level two. During the maintenance process, the marked electrical equipment and maintenance personnel are matched in level to obtain the matching result.

9. The electrical safety hazard management system for industrial parks according to claim 8, characterized in that: The various safety hazard assessment value indicators Sai in the sorting table P are sorted in order from large to small.

10. A method for managing electrical safety hazards in an industrial park, using any system described in claims 1 to 9, characterized in that: The steps include: S1. Divide the selected industrial park into M zones evenly; S2. Obtain a historical data set of electrical equipment in each partition within a preset operation cycle T, where the historical data set includes operating parameters, equipment monitoring quantities, and fault frequencies of the electrical equipment, and the operating parameters include current, voltage, and leakage current; S3. Build a data security calculation model based on the operating parameters and equipment monitoring quantity, generate the safety hazard assessment index Sai corresponding to the electrical equipment in the same partition, and calculate and generate the matching index I based on the equipment monitoring quantity and failure frequency of each electrical equipment; S4. Compare the safety hazard assessment value index Sai corresponding to each partition with the preset index threshold. When the safety hazard assessment value index Sai exceeds the index threshold, a warning signal is issued. When the safety hazard assessment value index Sai does not exceed the index threshold, the system does not respond. According to the constructed rule engine, the electrical equipment with different ratio indexes I are allocated to the maintenance personnel with the corresponding rating coefficients. The working years and training assessment pass times of the corresponding maintenance personnel are obtained, and a rating analysis model is built to generate the rating coefficient Rft of the corresponding maintenance personnel. S5. Sort the partitions that issue warning signals according to the size of the safety hazard assessment value index Sai, generate a sorting table P, and give the work order for dispatching maintenance personnel based on the sorting table P. When dispatching maintenance personnel to repair the electrical equipment in the corresponding partition, the electrical equipment of the corresponding level is allocated to the maintenance personnel of the corresponding level based on the matching results.

Images