Construction method and system of power grid safety production index system

Abstract

The invention provides a construction method and system of a power grid safety production index system, and relates to the technical field of power grid safety monitoring, and the method comprises the steps: obtaining safety production condition data of power grid operation, and obtaining an index demand result according to the safety production condition data; selecting an initial index according to the index demand result and a power industry safety production target; the initial indexes comprise a plurality of second-level indexes of five types of first-level indexes; screening out key indexes from the plurality of second-level indexes of each first-level index through an expert trust propagation-decision laboratory analysis method; and carrying out weighted fusion on all the screened key indexes to obtain a power grid safety production index system. According to the method, the index system covering various aspects of human factors, equipment, environment and the like is constructed, so that the safety production condition of the power grid can be comprehensively and accurately reflected, and comprehensive information support is provided.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid safety monitoring, and in particular to a method and system for constructing a power grid safety production index system. Background Art

[0002] The power industry is of great significance to ensuring energy security and promoting economic and social development. As a key link in power transmission and distribution, the safe and stable operation of the power grid is directly related to the reliability and stability of power supply, and is crucial to maintaining social stability and economic development.

[0003] With the rapid development of information technology, power grid safety production management has gradually shifted towards digitalization and intelligence. The establishment of a power grid safety production indicator system is an inevitable requirement for the development of the power industry and an important measure to ensure the safe and stable operation of the power grid. Therefore, in order to ensure the safe and stable operation of the power grid, it is necessary to establish a scientific, reasonable and effective safety production indicator system to evaluate and monitor various safety indicators during the operation of the power grid.

[0004] In view of this, it is necessary to provide a method and system for constructing a power grid safety production index system. Summary of the invention

[0005] In view of the problem that in the prior art, a scientific, reasonable and effective safety production index system needs to be established to ensure the safe and stable operation of the power grid, the present invention provides a method and system for constructing a power grid safety production index system, which can realize comprehensive monitoring and effective control of various safety indicators in the operation process of the power grid, and provide strong guarantee for the sustainable development of the power industry. The specific technical scheme is as follows:

[0006] A method for constructing a power grid safety production index system, comprising:

[0007] Obtaining safety production status data of power grid operation, and obtaining indicator demand results based on the safety production status data;

[0008] Select initial indicators based on the indicator demand results and the safety production goals of the power industry; the initial indicators include several secondary indicators of the first-level indicators of equipment safety, several secondary indicators of the first-level indicators of personal safety, several secondary indicators of the first-level indicators of network security, several secondary indicators of the first-level indicators of fire safety, and several secondary indicators of the first-level indicators of environmental safety;

[0009] The key indicators are selected from several secondary indicators of each primary indicator through the expert trust diffusion-decision laboratory analysis method;

[0010] All the selected key indicators are weighted and integrated to obtain the power grid safety production indicator system.

[0011] Preferably, the weighted fusion of all the selected key evaluation indicators to obtain a power grid safety production indicator system includes:

[0012] Weight the key indicators screened from each primary indicator;

[0013] Each first-level indicator is weighted twice;

[0014] The key indicators of all weighted first-level indicators are integrated to obtain the power grid safety production indicator system.

[0015] Preferably, the secondary indicators of the primary indicators of equipment safety include equipment failure rate, equipment maintenance rate, equipment integrity rate, mean repair time for equipment failures, mean time between equipment failures, equipment utilization rate and equipment energy consumption index;

[0016] The secondary indicators of the first-level indicators of personal safety include personal injury rate, personal injury severity rate, illegal operation rate, safety training pass rate and safety inspection rectification rate;

[0017] The secondary indicators of the primary network security indicators include intrusion detection rate, security vulnerability repair rate, malware infection rate, number of data leakage incidents and network security investment return rate;

[0018] The secondary indicators of the primary fire safety indicators include the fire accident rate, fire accident loss rate, fire facility integrity rate, fire drill participation rate and pass rate, and fire hazard rectification rate;

[0019] The secondary indicators of the first-level environmental safety indicators include pollutant emissions and compliance rates and the operating efficiency of environmental protection facilities;

[0020] Preferably, the key indicators selected from several secondary indicators of each primary indicator by the expert trust propagation-decision laboratory analysis method include:

[0021] Obtain scores from multiple experts on several secondary indicators of each primary indicator under a preset impact scoring rule, and obtain multiple direct impact matrices corresponding to the number of experts based on the scoring results;

[0022] Obtain the weights of multiple experts and obtain the expert weight results;

[0023] Obtaining a comprehensive influence matrix according to the multiple direct influence matrices and the expert weight results;

[0024] The centrality and causality of several secondary indicators of each primary indicator are calculated according to the comprehensive influence matrix;

[0025] According to the centrality and causality, corresponding key indicators are screened out from several secondary indicators of each primary indicator.

[0026] Preferably, the step of obtaining the weights of multiple experts to obtain the expert weight results includes:

[0027] Obtain the mutual trust between experts and calculate the comprehensive trust level of each expert in the expert group;

[0028] The weight of each expert is calculated according to the comprehensive trust level of each expert, and the expert weight result is obtained.

[0029] Preferably, the corresponding key indicators are selected from several secondary indicators of each primary indicator according to the centrality and causality, including:

[0030] Obtain the preset centrality threshold and cause threshold;

[0031] Compare the magnitude relationship between the centrality of each secondary indicator and the centrality threshold, and compare the magnitude relationship between the absolute value of the cause degree of each secondary indicator and the cause degree threshold;

[0032] When at least one of the conditions that the centrality of the secondary indicator is not less than the centrality threshold and the absolute value of the causal degree of the secondary indicator is not less than the causal degree threshold is met, the current secondary indicator is screened as a key indicator, and the corresponding key indicators are screened out from several secondary indicators of each primary indicator in turn.

[0033] A system for constructing a power grid safety production index system, applied to the aforementioned method for constructing a power grid safety production index system, comprises:

[0034] An indicator demand acquisition unit, used to acquire the safety production status data of the power grid operation, and obtain the indicator demand result according to the safety production status data;

[0035] The initial indicator selection unit is used to select the initial indicator according to the indicator demand result and the safety production target of the power industry; the initial indicator includes:

[0036] Several secondary indicators of the primary indicators of equipment safety;

[0037] Several secondary indicators of the primary indicators of personal safety;

[0038] Several secondary indicators of the primary indicators of network security;

[0039] Several secondary indicators of the primary indicators of fire safety;

[0040] Several secondary indicators of the primary indicators of environmental safety;

[0041] A key indicator screening unit, used to screen key indicators from several secondary indicators of each primary indicator through the expert trust propagation-decision laboratory analysis method;

[0042] The indicator weighted fusion unit is used to perform weighted fusion on all the selected key indicators to obtain a power grid safety production indicator system.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The method for constructing a power grid safety production index system of the present invention obtains the safety production status data of the power grid operation, and obtains the index requirement results according to the safety production status data; selects the initial index according to the index requirement results and the safety production goals of the power industry; the initial index includes several secondary indicators of the first-level indicators of equipment safety, several secondary indicators of the first-level indicators of personal safety, several secondary indicators of the first-level indicators of network security, several secondary indicators of the first-level indicators of fire safety, and several secondary indicators of the first-level indicators of environmental safety; the key indicators are screened out from the several secondary indicators of each first-level indicator through the expert trust propagation-decision laboratory analysis method; all the screened key indicators are weighted and fused to obtain the power grid safety production index system. The present invention can comprehensively and accurately reflect the safety production status of the power grid and provide comprehensive information support by constructing an index system covering various aspects such as human factors, equipment, and environment. At the same time, the construction of the index system helps to timely discover potential risks and safety hazards in the operation of the power grid, and take measures in advance to prevent and control through risk assessment and early warning mechanisms to avoid accidents. By regularly monitoring and evaluating indicators, problems and deficiencies in production safety management can be discovered in a timely manner, providing directions and basis for improvement, and promoting the continuous optimization and improvement of production safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0046] Figure 1 The present invention is a flow chart of a method for constructing a power grid safety production index system.

[0047] Figure 2 The present invention is a flow chart of an embodiment of a method for constructing a power grid safety production index system.

[0048] Figure 3The present invention is a flow chart of another embodiment of a method for constructing a power grid safety production index system of the present invention.

[0049] Figure 4 The present invention is a schematic diagram of a system for constructing a power grid safety production index system. DETAILED DESCRIPTION

[0050] 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 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.

[0051] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0052] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0053] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0054] See the following examples Figures 1 to 4 .

[0055] The present application provides a method for constructing a power grid safety production index system, including:

[0056] Step S01, obtaining safety production status data of power grid operation, and obtaining indicator demand results according to the safety production status data;

[0057] According to the safety factors required in the power industry, such as equipment, personnel, network, dam, fire protection, environment, etc., by arranging and combining various influencing factors, we get a "safety technology, safety management, safety culture, and safety responsibility" that runs through the implementation of each business.

[0058] By collecting various safety production data during the operation of the power grid, such as equipment failure records, personal accident statistics, network security incidents, fire inspection records and environmental monitoring data, a preliminary analysis is conducted to identify the key areas and weak links of power grid safety production. Based on these data, the areas that need to be focused on when constructing the indicator system can be determined, that is, the indicator demand results.

[0059] Step S02: Selecting initial indicators based on the indicator demand results and the power industry safety production goals; the initial indicators include:

[0060] Several secondary indicators of the primary indicators of equipment safety;

[0061] Several secondary indicators of the primary indicators of personal safety;

[0062] Several secondary indicators of the primary indicators of network security;

[0063] Several secondary indicators of the primary indicators of fire safety;

[0064] Several secondary indicators of the primary indicators of environmental safety;

[0065] After clarifying the indicator requirements, we selected initial indicators that can fully reflect the safety production status of the power grid based on the safety production goals and standards of the power industry, from multiple dimensions such as equipment safety, personal safety, network security, fire safety, and environmental safety. These initial indicators include several secondary indicators under the primary indicators, forming a preliminary indicator system framework.

[0066] Specifically, the secondary indicators of the first-level indicators of equipment safety include equipment failure rate, equipment maintenance rate, equipment integrity rate, average repair time of equipment failure, average time between equipment failures, equipment utilization rate and equipment energy consumption index;

[0067] 1) Equipment failure rate refers to the ratio of the number of equipment failures to the total operating time of the equipment within a certain period of time.

[0068] Calculation method: Equipment failure rate = number of failures / total equipment operating time

[0069] The equipment failure rate reflects the reliability and stability of the equipment. The lower the failure rate, the more reliable the equipment.

[0070] 2) Equipment maintenance rate refers to the ratio of the number of times the equipment needs maintenance to the total operating time of the equipment within a certain period of time.

[0071] Calculation method: Equipment maintenance rate = number of maintenance times / total equipment operating time

[0072] Equipment maintenance rate is directly related to maintenance cost, equipment reliability and production efficiency. A high maintenance rate may indicate improper equipment maintenance or equipment aging.

[0073] 3) Equipment availability rate refers to the ratio of the number of equipment that is in good condition and can operate normally within a certain period of time to the total number of equipment.

[0074] Calculation method: Equipment integrity rate = number of intact equipment / total number of equipment

[0075] The equipment availability rate reflects the overall level of equipment management and equipment utilization rate. The higher the availability rate, the better the equipment management level and the higher the equipment utilization rate.

[0076] 4.) The mean time to repair (MTTR) for equipment failure refers to the average time required for equipment to resume normal operation after failure.

[0077] Calculation method: MTTR = total fault repair time / number of faults

[0078] The mean time to repair equipment failures reflects the response speed and repair capabilities of the equipment maintenance team. The shorter the MTTR, the more efficient the maintenance team is.

[0079] 5) The mean time between failures (MTBF) of equipment refers to the average working time of the equipment between two adjacent failures.

[0080] Calculation method: MTBF = total operating time / number of failures

[0081] The mean time between failures of equipment is one of the important indicators to measure the reliability of equipment. The longer the MTBF, the more reliable the equipment.

[0082] 6) Equipment utilization refers to the ratio of the actual working time of the equipment to the total available time.

[0083] Calculation method: Equipment utilization = actual working time / total available time

[0084] Equipment utilization rate reflects the production efficiency and utilization level of the equipment. The higher the utilization rate, the higher the production efficiency of the equipment.

[0085] 7) Equipment energy consumption index

[0086] Specific indicators: such as power consumption per unit of output, energy efficiency ratio of equipment, etc.

[0087] Calculation method: Calculate according to specific indicators, such as power consumption per unit of output = total power consumption / output.

[0088] Equipment energy consumption indicators reflect the energy consumption level and energy-saving effect of the equipment, and are of great significance to power production safety and energy conservation and emission reduction.

[0089] The secondary indicators of the first-level indicators of personal safety include personal injury rate, personal injury severity rate, illegal operation rate, safety training pass rate and safety inspection rectification rate;

[0090] 1) The casualty rate refers to the ratio of the number of casualties or the number of casualties in the power production process to the total working hours of power production within a certain period of time.

[0091] Calculation method: Personal injury rate = (number of casualties or casualties) / total working hours of power production

[0092] The personal injury rate directly reflects the overall situation of personal safety in the power production process and is an important indicator for evaluating the effectiveness of safety management.

[0093] 2) Personal injury severity rate refers to the number of accidents or the proportion of the number of injured persons resulting in serious injuries (such as disability, serious injury, etc.) in personal injury accidents occurring in the power production process within a certain period of time.

[0094] Calculation method: Personal injury severity rate = number of serious injury accidents or number of injured persons / total number of personal injury accidents or total number of injured persons

[0095] The personal injury severity rate is used to measure the severity of the consequences of an accident and is of great significance for evaluating the effectiveness of safety protection measures.

[0096] 3) The illegal operation rate refers to the ratio of the number of illegal operations or the number of personnel performing illegal operations found in the power production process to the total number of power production operations within a certain period of time.

[0097] Calculation method: Illegal operation rate = number of illegal operations or number of illegal operation personnel / total number of power production operations

[0098] The rate of illegal operations reflects the staff's compliance with safety regulations and operating procedures, and is one of the important means to prevent accidents.

[0099] 4) The safety training pass rate refers to the proportion of staff who have passed the training assessment after participating in power safety training within a certain period of time.

[0100] Calculation method: Safety training pass rate = number of people who passed the training assessment / total number of people who participated in the training

[0101] The safety training pass rate reflects the level of safety knowledge and skills of staff, and plays an important role in improving overall safety awareness and reducing accident risks.

[0102] 5) Safety inspection rectification rate refers to the proportion of safety hazards and problems discovered in the power production process that are promptly rectified within a certain period of time.

[0103] Calculation method: Safety inspection rectification rate = number of safety hazards and problems rectified / total number of safety hazards and problems found

[0104] The safety inspection rectification rate reflects the company's attention to safety hazards and the efficiency of rectification, and is one of the important measures to ensure personal safety.

[0105] The secondary indicators of the primary network security indicators include intrusion detection rate, security vulnerability repair rate, malware infection rate, number of data leakage incidents and network security investment return rate;

[0106] 1) Intrusion detection rate refers to the ratio of the number of intrusion attempts successfully detected by the network security system to the total number of intrusion attempts within a certain period of time.

[0107] Calculation method: Intrusion detection rate = number of successfully detected intrusion attempts / total number of intrusion attempts

[0108] The intrusion detection rate reflects the detection capability and effectiveness of the network security system and is an important indicator for evaluating the level of network security protection.

[0109] 2) Security vulnerability repair rate refers to the proportion of network security vulnerabilities discovered within a certain period of time that have been repaired in a timely manner.

[0110] Calculation method: Security vulnerability repair rate = number of repaired security vulnerabilities / total number of discovered security vulnerabilities

[0111] The security vulnerability repair rate reflects the degree of attention that enterprises pay to network security vulnerabilities and the efficiency of repairing them, and is one of the key measures to reduce network security risks.

[0112] 3) Malware infection rate refers to the ratio of the number of hosts infected with malware to the total number of hosts in the power production network within a certain period of time.

[0113] Calculation method: Malware infection rate = number of hosts infected with malware / total number of hosts

[0114] The malware infection rate directly reflects the security status of the power production network and is an important indicator for evaluating the effectiveness of network security protection.

[0115] 4) The number of data leakage incidents refers to the number of data leakage incidents that occurred in the power production network within a certain period of time.

[0116] Calculation method: Directly count the number of data breach incidents that occurred.

[0117] The number of data leakage incidents reflects the weak links and potential risks in network security protection and is an important basis for improving network security measures.

[0118] 5) Although it is not a direct numerical calculation indicator, the cybersecurity ROI can evaluate the relationship between an enterprise’s investment in cybersecurity and its benefits.

[0119] Calculation method: Usually calculated by comparing cybersecurity investment with the losses avoided due to cybersecurity incidents.

[0120] Cybersecurity ROI helps companies understand the value of their cybersecurity investments and make more reasonable cybersecurity budget decisions.

[0121] The secondary indicators of the primary fire safety indicators include the fire accident rate, fire accident loss rate, fire facility integrity rate, fire drill participation rate and pass rate, and fire hazard rectification rate;

[0122] 1) Fire accident incidence rate refers to the ratio of the number of fire accidents in power facilities to the total working hours of power production, or to the total power supply (depending on the statistical caliber) within a certain period of time.

[0123] Calculation method: Fire accident rate = number of fire accidents / total working hours of power production (or total power supply)

[0124] The fire accident rate directly reflects the risk level of fire in power facilities and is an important indicator for assessing fire safety conditions.

[0125] 2) The fire accident loss rate refers to the ratio of the property and casualty losses caused by the fire accident to the total power supply (or total assets).

[0126] Calculation method: Fire accident loss rate = Fire accident loss amount / total power supply (or total assets)

[0127] The fire accident loss rate quantifies the impact of fire accidents on power supply and social economy, and helps to assess the economic losses and severity of fire accidents.

[0128] 3) The integrity rate of fire-fighting facilities refers to the proportion of fire-fighting facilities in power facilities that remain intact and can be used normally within a certain period of time.

[0129] Calculation method: Firefighting facility integrity rate = number of intact firefighting facilities / total number of firefighting facilities

[0130] The integrity rate of fire-fighting facilities reflects the level of daily maintenance and management of fire-fighting facilities, and is an important guarantee to ensure timely and effective firefighting when a fire occurs.

[0131] 4) Fire drill participation rate and pass rate refer to the proportion of employees who participate in fire drills; fire drill pass rate refers to the proportion of employees who successfully complete fire drill tasks and achieve predetermined goals.

[0132] Calculation method: Fire drill participation rate = number of employees participating in fire drills / total number of employees; Fire drill pass rate = number of employees who successfully completed fire drill tasks / number of employees participating in fire drills

[0133] The fire drill participation rate and pass rate assess employees' attention to fire safety and their ability to respond to fires, and are an important means to improve the overall fire safety level.

[0134] 5) The fire hazard rectification rate refers to the proportion of fire hazards discovered within a certain period of time that have been rectified in a timely manner.

[0135] Calculation method: Fire hazard rectification rate = number of fire hazards rectified / total number of fire hazards found

[0136] The fire hazard rectification rate reflects the company's attention to fire hazards and the efficiency of rectification, and is one of the key measures to reduce fire risks.

[0137] The secondary indicators of the first-level environmental safety indicators include pollutant emissions and compliance rates and the operating efficiency of environmental protection facilities;

[0138] 1) Pollutant emissions and compliance rates refer to the emissions of various pollutants (such as waste gas, wastewater, solid waste, etc.) generated in the process of electricity production and whether these emissions meet the national or local emission standards.

[0139] Calculation method: Measure the pollutant emissions through monitoring equipment and compare them with the emission standards to calculate the compliance rate.

[0140] Pollutant emissions and compliance rates directly reflect the impact of electricity production on the environment and are important indicators for assessing environmental safety.

[0141] 2) The operating efficiency of environmental protection facilities refers to the operating efficiency of environmental protection facilities (such as dust collectors, desulfurization and denitrification devices, etc.) used to reduce pollutant emissions during the power production process.

[0142] Evaluation method: By monitoring the operating status and effects of environmental protection facilities, their contribution to pollutant emission reduction is evaluated.

[0143] The operating efficiency of environmental protection facilities reflects the investment and effectiveness of power companies in environmental protection and is an important means to improve environmental safety levels.

[0144] Step S03, selecting key indicators from several secondary indicators of each primary indicator by using the expert trust propagation-decision laboratory analysis method;

[0145] Specifically, the key indicators selected from several secondary indicators of each primary indicator by the expert trust propagation-decision laboratory analysis method include:

[0146] Step S31: obtaining scores of several secondary indicators of each primary indicator by multiple experts under a preset impact degree scoring rule, and obtaining multiple direct impact matrices corresponding to the number of experts according to the scoring results;

[0147] An expert group consisting of h experts will score the mutual influence degree and direction among n secondary indicators according to the influence degree scoring table shown in Table 1, forming h direct influence matrices:

[0148]

[0149] In the formula, A is the score given by the zth expert on the impact of secondary indicator n on secondary indicator 1; z is the direct influence matrix obtained by the z-th expert's scoring; n is the total number of secondary indicators, and according to step S02, n=24.

[0150] Table 1 Impact rating table

[0151] Impact Unrelated Lower medium Higher Very high Fraction 0 1 2 3 4

[0152] Step S32, obtaining weights of multiple experts to obtain expert weight results;

[0153] Determine the expert weights and establish the trust propagation equation between experts through the social trust propagation relationship between experts.

[0154]

[0155] In the formula, α ab represents the trust of expert a in expert b, α ba is the trust of expert b in expert a; α ab ,α ba ∈[0,1].

[0156] Among them, the trust degree α ab It can be expressed as:

[0157]

[0158] Where c is the trust propagation path between expert a and expert b, d = {d 1 ,d 2 ,...,d c}.

[0159] Based on this, the comprehensive trust level of expert a in the expert group OT a Then:

[0160]

[0161] In the formula, OT a The larger the value is, the higher the comprehensive trust of expert a in the expert group is, which means that its weight in the expert group is higher. The weight of expert a can be expressed as:

[0162]

[0163] In the formula, ω a is the weight of expert a, satisfying

[0164] Step S33: Obtain a comprehensive influence matrix according to the multiple direct influence matrices and the expert weight results; and convert the h direct influence matrices into a total direct influence matrix A according to the expert weight results.

[0165]

[0166] In the formula, a uv It is the weighted sum of the scores given by each expert on the influence of secondary indicator u on secondary indicator v; is the score given by the zth expert on the impact of indicator u on indicator v; and u,v=1,2,…,n, n is the total number of secondary indicators; ω z is the weight of the z-th expert.

[0167]

[0168] In the formula, a n1 It is the weighted sum of the scores given by each expert on the degree of influence of secondary indicator n on secondary indicator 1.

[0169] The matrix A is normalized to obtain the normalized direct influence matrix G, and the comprehensive influence matrix K is constructed based on it.

[0170]

[0171]

[0172] In the formula, k uv is the element in the uth row and vth column of the comprehensive influence matrix K; E is the n-order unit matrix.

[0173] Step S34, calculating the centrality and causality of several secondary indicators of each primary indicator according to the comprehensive influence matrix;

[0174]

[0175]

[0176] In the formula, M and U are the centrality and causality of each indicator respectively; kuv is the element in the uth row and vth column of the comprehensive influence matrix K, and u, v = 1, 2, …, n, n is the total number of secondary indicators; T is the matrix transpose.

[0177] The larger the indicator centrality, the more important the indicator is in the indicator system; the smaller the absolute value of the indicator causal degree, the stronger the logical relationship between the indicator and other indicators.

[0178] Step S35: According to the centrality and causality, corresponding key indicators are selected from several secondary indicators of each primary indicator.

[0179] Specifically, the corresponding key indicators are selected from several secondary indicators of each primary indicator according to the centrality and causality, including:

[0180] Obtain the preset centrality threshold and cause threshold;

[0181] Compare the magnitude relationship between the centrality of each secondary indicator and the centrality threshold, and compare the magnitude relationship between the absolute value of the cause degree of each secondary indicator and the cause degree threshold;

[0182] When at least one of the conditions that the centrality of the secondary indicator is not less than the centrality threshold and the absolute value of the causal degree of the secondary indicator is not less than the causal degree threshold is met, the current secondary indicator is screened as a key indicator, and the corresponding key indicators are screened out from several secondary indicators of each primary indicator in turn.

[0183] Step S04: weightedly integrate all the selected key indicators to obtain a power grid safety production indicator system.

[0184] After screening out the key indicators, different weight values ​​are assigned according to the importance and relevance of each indicator. Then, the weighted key indicators are integrated using appropriate methods to form the final power grid safety production indicator system. This system not only includes the key indicators, but also reflects the relative importance and mutual influence between the indicators.

[0185] Specifically, all the selected key evaluation indicators are weighted and integrated to obtain the power grid safety production indicator system including:

[0186] Step S41: weighting the key indicators screened from each primary indicator by using the hierarchical analysis method;

[0187] The first-level indicators are compared pairwise and relative scores are given according to their importance. The key indicators under each first-level indicator are also compared pairwise to construct a judgment matrix. The judgment matrix is ​​solved using the eigenvector method to obtain the weights of each first-level indicator and key indicator.

[0188] Step S42: using the entropy weight method to perform secondary weighting on each primary indicator;

[0189] Collect historical data of each first-level indicator, standardize the data, and calculate the information entropy of each first-level indicator based on the standardized data; use the information entropy to calculate the difference coefficient of each first-level indicator; determine the weight of each first-level indicator based on the difference coefficient to achieve secondary weighting.

[0190] Step S43: integrate the key indicators of all weighted first-level indicators to obtain a power grid safety production indicator system.

[0191] The key indicator weights obtained by the hierarchical analysis method are multiplied by the first-level indicator weights obtained by the entropy weight method to obtain the comprehensive weight of each key indicator. According to the comprehensive weight, the key indicators are arranged in order from high to low to construct the power grid safety production indicator system.

[0192] In this embodiment, it should be noted that the calculation method and specific value of the secondary index in step S02 may vary due to different power companies and safety management requirements. In actual applications, enterprises should formulate appropriate indicator systems and calculation methods based on their own conditions and safety management goals, and regularly collect, analyze and evaluate data to continuously improve and optimize safety management measures to ensure that personal safety is effectively protected.

[0193] A method for constructing a power grid safety production index system of the present invention obtains the safety production status data of the power grid operation, and obtains the index requirement results according to the safety production status data; selects the initial index according to the index requirement results and the safety production goals of the power industry; the initial index includes several secondary indicators of the first-level indicators of equipment safety, several secondary indicators of the first-level indicators of personal safety, several secondary indicators of the first-level indicators of network security, several secondary indicators of the first-level indicators of fire safety, and several secondary indicators of the first-level indicators of environmental safety; the key indicators are screened out from the several secondary indicators of each first-level indicator through the expert trust propagation-decision laboratory analysis method; all the screened key indicators are weighted and fused to obtain the power grid safety production index system. The present invention can comprehensively and accurately reflect the safety production status of the power grid and provide comprehensive information support by constructing an index system covering various aspects such as human factors, equipment, and environment. At the same time, the construction of the index system helps to timely discover potential risks and safety hazards in the operation of the power grid, and take measures in advance to prevent and control through risk assessment and early warning mechanisms to avoid accidents. By regularly monitoring and evaluating indicators, problems and deficiencies in production safety management can be discovered in a timely manner, providing directions and basis for improvement, and promoting the continuous optimization and improvement of production safety management.

[0194] In another embodiment, the weights of the four experts are calculated to be ω=(0.19, 0.30, 0.27, 0.24), and 24 secondary indicators among the five primary indicators are screened and analyzed based on the expert scoring results to obtain the centrality and causality data of each secondary indicator.

[0195] As shown in the evaluation results of the centrality and causality of the secondary indicators in Table 2, the secondary indicators that simultaneously meet the conditions that the centrality is less than 0.4 (the causality threshold set in this embodiment) and the absolute value of the causality is less than 0.4 (the causality threshold set in this embodiment) are eliminated because their importance in the indicator system is relatively low and their logical relationship with other indicators is too strong.

[0196] Table 2 Evaluation results of centrality and causality of secondary indicators

[0197]

[0198] In this embodiment, the following key indicators are obtained after screening:

[0199] The key indicators obtained by screening the first-level indicators of equipment safety include equipment failure rate, equipment maintenance rate, average repair time for equipment failure and equipment utilization rate; the key indicators obtained by screening the first-level indicators of personal safety include personal injury rate, personal injury severity rate and illegal operation rate; the key indicators obtained by screening the first-level indicators of network security include intrusion detection rate, security vulnerability repair rate and malware infection rate; the key indicators obtained by screening the first-level indicators of fire safety include fire accident incidence rate, fire accident loss rate, fire protection facility integrity rate and fire drill participation rate and pass rate; the key indicators obtained by screening the first-level indicators of environmental safety include pollutant emissions and compliance rate and environmental protection facility operation efficiency.

[0200] The embodiment of the present application further provides a system for constructing a power grid safety production index system, which is applied to the aforementioned method for constructing a power grid safety production index system, including:

[0201] An indicator demand acquisition unit, used to acquire the safety production status data of the power grid operation, and obtain the indicator demand result according to the safety production status data;

[0202] The initial indicator selection unit is used to select the initial indicator according to the indicator demand result and the safety production target of the power industry; the initial indicator includes:

[0203] Several secondary indicators of the primary indicators of equipment safety;

[0204] Several secondary indicators of the primary indicators of personal safety;

[0205] Several secondary indicators of the primary indicators of network security;

[0206] Several secondary indicators of the primary indicators of fire safety;

[0207] Several secondary indicators of the primary indicators of environmental safety;

[0208] A key indicator screening unit, used to screen key indicators from several secondary indicators of each primary indicator through the expert trust propagation-decision laboratory analysis method;

[0209] The indicator weighted fusion unit is used to perform weighted fusion on all the selected key indicators to obtain a power grid safety production indicator system.

[0210] In this embodiment, the functional explanation corresponding to each unit is the same as the explanation of the construction method of the carbon assessment classification index system of a zero-carbon power supply station mentioned above, and will not be repeated here.

[0211] A construction system of a power grid production safety index system of the present invention obtains the production safety status data of the power grid operation through an index demand acquisition unit, and obtains the index demand result according to the production safety status data; the initial index selection unit selects the initial index according to the index demand result and the production safety target of the power industry; the initial index includes several secondary indicators of the first-level index of equipment safety, several secondary indicators of the first-level index of personal safety, several secondary indicators of the first-level index of network security, several secondary indicators of the first-level index of fire safety, and several secondary indicators of the first-level index of environmental safety; the key index screening unit screens out key indicators from several secondary indicators of each first-level index through the expert trust propagation-decision laboratory analysis method; the index weighted fusion unit weightedly fuses all the screened key indicators to obtain the power grid production safety index system. The present invention can comprehensively and accurately reflect the production safety status of the power grid and provide comprehensive information support by constructing an index system covering various aspects such as human factors, equipment, and environment. At the same time, the construction of the index system helps to timely discover potential risks and safety hazards in the operation of the power grid, and take measures in advance to prevent and control through risk assessment and early warning mechanisms to avoid accidents. By regularly monitoring and evaluating indicators, problems and deficiencies in production safety management can be discovered in a timely manner, providing directions and basis for improvement, and promoting the continuous optimization and improvement of production safety management.

[0212] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. 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 the present invention.

[0213] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0214] In addition, each functional unit in each embodiment of the present invention 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. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0215] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes 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 method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0216] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A method for constructing a power grid safety production index system, characterized in that: include: Obtaining safety production status data of power grid operation, and obtaining indicator demand results based on the safety production status data; Select initial indicators based on the indicator demand results and the safety production goals of the power industry; the initial indicators include several secondary indicators of the first-level indicators of equipment safety, several secondary indicators of the first-level indicators of personal safety, several secondary indicators of the first-level indicators of network security, several secondary indicators of the first-level indicators of fire safety, and several secondary indicators of the first-level indicators of environmental safety; The key indicators are selected from several secondary indicators of each primary indicator through the expert trust diffusion-decision laboratory analysis method; All the selected key indicators are weighted and integrated to obtain the power grid safety production indicator system.

2. The method for constructing a power grid safety production index system according to claim 1, characterized in that: The weighted fusion of all the selected key evaluation indicators to obtain the power grid safety production indicator system includes: Weight the key indicators screened from each primary indicator; Each first-level indicator is weighted twice; The key indicators of all weighted first-level indicators are integrated to obtain the power grid safety production indicator system.

3. The method for constructing a power grid safety production index system according to claim 2, characterized in that: The secondary indicators of the first-level indicators of equipment safety include equipment failure rate, equipment maintenance rate, equipment integrity rate, average repair time for equipment failures, average time between equipment failures, equipment utilization rate and equipment energy consumption indicators; The secondary indicators of the first-level indicators of personal safety include personal injury rate, personal injury severity rate, illegal operation rate, safety training pass rate and safety inspection rectification rate; The secondary indicators of the first-level indicators of network security include intrusion detection rate, security vulnerability repair rate, malware infection rate, number of data leakage incidents and network security investment return rate; The secondary indicators of the first-level indicators of fire safety include the fire accident incidence rate, fire accident loss rate, fire facility integrity rate, fire drill participation rate and pass rate, and fire hazard rectification rate; The secondary indicators of the first-level environmental safety indicators include pollutant emissions and compliance rates and the operating efficiency of environmental protection facilities.

4. The method for constructing a power grid safety production index system according to claim 3, characterized in that: The key indicators selected from several secondary indicators of each primary indicator by the expert trust propagation-decision laboratory analysis method include: Obtain scores from multiple experts on several secondary indicators of each primary indicator under a preset impact scoring rule, and obtain multiple direct impact matrices corresponding to the number of experts based on the scoring results; Obtain the weights of multiple experts and obtain the expert weight results; Obtaining a comprehensive influence matrix according to the multiple direct influence matrices and the expert weight results; The centrality and causality of several secondary indicators of each primary indicator are calculated according to the comprehensive influence matrix; According to the centrality and causality, corresponding key indicators are screened out from several secondary indicators of each primary indicator.

5. The method for constructing a power grid safety production index system according to claim 4, characterized in that: The step of obtaining the weights of multiple experts to obtain the expert weight results includes: Obtain the mutual trust between experts and calculate the comprehensive trust level of each expert in the expert group; The weight of each expert is calculated according to the comprehensive trust level of each expert, and the expert weight result is obtained.

6. The method for constructing a power grid safety production index system according to claim 4, characterized in that: According to the centrality and causality, the corresponding key indicators are screened out from several secondary indicators of each primary indicator, including: Obtain the preset centrality threshold and cause threshold; Compare the magnitude relationship between the centrality of each secondary indicator and the centrality threshold, and compare the magnitude relationship between the absolute value of the cause degree of each secondary indicator and the cause degree threshold; When at least one of the conditions that the centrality of the secondary indicator is not less than the centrality threshold and the absolute value of the causal degree of the secondary indicator is not less than the causal degree threshold is met, the current secondary indicator is screened as a key indicator, and the corresponding key indicators are screened out from several secondary indicators of each primary indicator in turn.

7. A system for constructing a power grid safety production index system, characterized in that: A method for constructing a power grid safety production index system as described in any one of claims 1 to 6, comprising: An indicator demand acquisition unit, used to acquire the safety production status data of the power grid operation, and obtain the indicator demand result according to the safety production status data; The initial indicator selection unit is used to select the initial indicator according to the indicator demand result and the safety production target of the power industry; the initial indicator includes: Several secondary indicators of the primary indicators of equipment safety; Several secondary indicators of the primary indicators of personal safety; Several secondary indicators of the primary indicators of network security; Several secondary indicators of the primary indicators of fire safety; Several secondary indicators of the primary indicators of environmental safety; A key indicator screening unit, used to screen key indicators from several secondary indicators of each primary indicator through the expert trust propagation-decision laboratory analysis method; The indicator weighted fusion unit is used to perform weighted fusion on all the selected key indicators to obtain a power grid safety production indicator system.

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