Active power grid infrastructure safety management and control system based on multi-factor algorithm analysis

Abstract

The present invention discloses an active power grid infrastructure safety management and control system based on multi-factor algorithm analysis. The active power grid infrastructure safety management and control system based on multi-factor algorithm analysis includes: a factor data acquisition module, a weight acquisition module, a comprehensive situation acquisition module, and an early warning management module. The present invention obtains the construction safety monitoring data of the power grid infrastructure site and pre-processes the collected construction safety monitoring data to obtain the infrastructure safety monitoring factor data; obtains the historical construction safety monitoring data of the power grid infrastructure project and analyzes the weights corresponding to the infrastructure safety monitoring factor data; inputs the infrastructure safety monitoring factor data and its corresponding weights into the multi-factor algorithm model to obtain a comprehensive infrastructure safety monitoring index; issues an early warning based on the comprehensive infrastructure safety monitoring index, thereby improving the comprehensiveness of safety supervision on the infrastructure site, and solving the problem of incomplete safety supervision on the infrastructure site in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to an active power grid infrastructure safety management and control system based on multi-factor algorithm analysis. Background Art

[0002] Safety supervision of infrastructure construction sites is to ensure the safety of personnel and equipment during construction, prevent accidents, and protect the lives and property of workers and the public. The principles of safety supervision include monitoring of construction sites, personnel, and equipment, compliance with safety standards and regulations, and timely response to emergencies. Power grid infrastructure usually involves complex power systems and equipment, and has high technical requirements. Therefore, the safety supervision of power grid infrastructure pays more attention to the professional monitoring of power equipment and electrical systems to maintain the reliability and quality of construction projects and promote the healthy development of the entire infrastructure industry.

[0003] Traditional infrastructure construction site safety supervision adopts a decentralized and periodic approach, including regular inspections, post-inspections and document reviews. Managers ensure that the construction site meets safety standards through manual observation and inspection, while relying on document records to track the construction process.

[0004] For example, a method for optimizing and dispatching a regional new energy power grid taking into account safety constraints is disclosed in Publication No. CN114389314A, comprising: step 1, establishing a day-ahead optimization dispatching model and its constraints with the goal of minimizing equivalent coal consumption; step 2, based on the day-ahead optimization dispatching model established in step 1, establishing a real-time optimization dispatching model for a regional new energy power grid taking into account system safety constraints under an active control mode, so as to realize planned dispatch and active management and control of various types of grid-connected renewable energy sources in the system.

[0005] For example, the publication number CN116191528A discloses a distributed photovoltaic collaborative control method based on an active distribution network, including: a distributed photovoltaic hierarchical coordinated control strategy applicable to an active distribution network, a top-down approach to manage the collaborative control of distributed power sources, and a distributed photovoltaic collaborative control method based on five functions: controllable resource aggregation, multi-level manual control, over-limit automatic adjustment control, grid area adjustment auxiliary control, and historical control management and recovery. The present invention constructs a distributed photovoltaic collaborative control system for a distribution network based on a distribution network master station system to achieve the advantages of adjustable and controllable distributed photovoltaic, energy storage and other distributed power supply equipment within the distribution range.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, at power grid infrastructure construction sites, there are many projects started simultaneously, many working areas are started, and the management workload is heavy. Through traditional safety supervision methods, management resources are evenly distributed and random inspections are conducted on the power grid infrastructure construction sites. It is found that due to insufficient human resources for safety supervision, there are many blind spots in the supervision process, and there is a problem of incomplete safety supervision of the infrastructure site. Summary of the invention

[0008] The embodiments of the present application solve the problem of incomplete safety supervision of infrastructure sites in the prior art by providing an active power grid infrastructure safety management and control system based on multi-factor algorithm analysis, thereby improving the comprehensiveness of safety supervision of infrastructure sites.

[0009] The embodiment of the present application provides an active power grid infrastructure safety management and control system based on multi-factor algorithm analysis, including: further, a factor data acquisition module, a weight acquisition module, a comprehensive situation acquisition module, and an early warning management module; wherein the factor data acquisition module is used to obtain the construction safety monitoring data of the power grid infrastructure site and pre-process the construction safety monitoring data to obtain the infrastructure safety monitoring factor data, and the infrastructure safety monitoring factor data includes: operation safety index factor, working condition safety index factor, engineering information impact factor, and personnel arrangement impact factor; the weight acquisition module is used to obtain the historical construction safety monitoring data of the power grid infrastructure project, and analyze the weight corresponding to the infrastructure safety monitoring factor data, and the weight corresponding to the infrastructure safety monitoring factor data represents the importance of the infrastructure safety monitoring factor in the comprehensive infrastructure safety monitoring index; the comprehensive situation acquisition module is used to input the infrastructure safety monitoring factor data and its corresponding weight into the multi-factor algorithm model to obtain the comprehensive infrastructure safety monitoring index, and the comprehensive infrastructure safety monitoring index is used to reflect the comprehensive safety monitoring situation of the current power grid base station construction; the early warning management module is used to issue a monitoring early warning according to the comprehensive infrastructure safety monitoring index.

[0010] Furthermore, the method for obtaining the operation safety index factor is as follows: analyzing the engineering type safety index corresponding to each engineering type of power grid infrastructure project and the eight types of operation safety indexes of each operation based on the pre-processed construction safety monitoring data; extracting the maximum value of the engineering type safety index and the maximum value of the eight types of operation safety index from the engineering type safety index corresponding to each engineering type of power grid infrastructure project and the eight types of operation safety indexes of each operation; weighting the maximum value of the engineering type safety index and the maximum value of the eight types of operation safety index, and normalizing them; obtaining the operation safety index factor.

[0011] Furthermore, the method for obtaining the engineering type safety index is as follows: judging the abnormal situation of the sub-projects of the power grid infrastructure project; if any sub-project is abnormal, the power grid infrastructure project is currently abnormal; when the result is abnormal, the judgment result is recorded as a value of 1, otherwise it is recorded as 0; comparing the judgment result with the total number of engineering types of the power grid infrastructure project, and normalizing it through an exponential function; obtaining the first slope to obtain the engineering type safety index.

[0012] Furthermore, the method for obtaining the safety index of the eight categories of operations is as follows: judge the abnormal conditions of the eight categories of operations. If any one of the operations is abnormal, the eight categories of operations are currently abnormal. When the result is an abnormal condition, the judgment result is recorded as a value of 1, otherwise it is recorded as 0; compare the judgment result with the total number of operation types of the eight categories of operations, and normalize it through an exponential function; obtain the second slope to obtain the safety index of the eight categories of operations.

[0013] Furthermore, the method for obtaining the operating condition safety index factor is: judging the existence of special meteorological conditions and special terrain conditions; weighting the judgment results respectively and normalizing them using a hyperbolic sine function; and obtaining the operating condition safety index factor.

[0014] Furthermore, the method for obtaining the engineering information influencing factor is as follows: obtaining the engineering start-up interruption time and the actual construction duration of the power grid infrastructure project; simultaneously obtaining the maximum start-up interruption time and the standard construction duration; analyzing the ratio of the engineering start-up interruption time to the maximum start-up interruption time, recorded as the first ratio; analyzing the ratio of the standard construction duration to the actual construction duration, recorded as the second ratio; normalizing the first ratio and the second ratio using a hyperbolic tangent function; and obtaining the engineering information influencing factor.

[0015] Furthermore, the method for obtaining the personnel arrangement influencing factor is: obtaining the change value of the number of engineering team members, the number of changes in management personnel, the number of new work teams, and the construction supervision level; taking a weighted sum of the change value of the number of engineering team members, the number of changes in management personnel, and the number of new work teams to obtain a preliminary analysis result; dividing the preliminary analysis result by the construction supervision level and normalizing it using a hyperbolic cotangent function; and obtaining the personnel arrangement influencing factor.

[0016] Furthermore, the analysis method of the weight corresponding to the infrastructure safety monitoring factor data is: obtaining historical construction safety monitoring data of power grid infrastructure projects; counting the events of safety anomalies in power grid base station projects and their corresponding times, using the number of times as the first weight of the event, and the event is an abnormal event corresponding to the infrastructure safety monitoring factor data; at the same time, obtaining the second weight of the event through expert investigation method; averaging the first weight of the event and the second weight of the event to obtain the weight corresponding to the infrastructure safety monitoring factor data.

[0017] Furthermore, the method for obtaining the comprehensive infrastructure safety monitoring index is as follows: according to the infrastructure safety monitoring factor data and its weight, input them into the multi-factor algorithm model to obtain the output result; normalize the output result to obtain the comprehensive infrastructure safety monitoring index; the calculation method of the comprehensive infrastructure safety monitoring index is: Where ψ is the comprehensive infrastructure safety monitoring index, Yi is the infrastructure safety monitoring factor data, yi is the weight corresponding to the infrastructure safety monitoring factor data, i is the number of the infrastructure safety monitoring factor data, i = 1, 2, 3, 4 respectively represent the operation safety index factor, working condition safety index factor, engineering information influencing factor, personnel arrangement influencing factor, and δ is the error term.

[0018] Furthermore, the monitoring and early warning method is: when the comprehensive infrastructure safety monitoring index is not higher than the first threshold, no warning is issued; when the comprehensive infrastructure safety monitoring index is higher than the first threshold, a warning is issued; when a warning is issued, the abnormal situation of the infrastructure safety monitoring factor data is monitored, and when the warning is issued, the infrastructure safety monitoring factor data with abnormal situation is visualized and displayed to the user.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0020] 1. By obtaining the construction safety monitoring data of the power grid infrastructure site and preprocessing the collected construction safety monitoring data, the infrastructure safety monitoring factor data is obtained; the historical construction safety monitoring data of the power grid infrastructure project is obtained, and the weights corresponding to the infrastructure safety monitoring factor data are analyzed; the infrastructure safety monitoring factor data and its corresponding weights are input into the multi-factor algorithm model to obtain a comprehensive infrastructure safety monitoring index, so as to issue an early warning based on the comprehensive infrastructure safety monitoring index, thereby achieving the improvement of the comprehensiveness of safety supervision on the infrastructure site, and effectively solving the problem of incomplete safety supervision on the infrastructure site in the existing technology.

[0021] 2. By comprehensively considering the changes in the number of engineering team members, changes in management personnel, the number of new teams and the level of construction supervision, a comprehensive evaluation of the factors affecting personnel arrangement is ensured. The weighted sum and hyperbolic cotangent function are used for normalization to improve the accuracy and comparability of the analysis results, making the factors affecting personnel arrangement more specific and quantitative, thereby achieving an accurate evaluation of the potential impact of personnel allocation on infrastructure safety and providing a scientific basis for effective safety management.

[0022] 3. By combining historical data statistics and expert surveys, based on the statistics of the number of events, the first weight directly reflects the frequency of historical abnormal events; while the expert survey rule focuses on professional judgment, providing more authoritative and in-depth information for the second weight. By averaging the weights of the two, taking into account both objective data and expert experience, the importance of infrastructure safety monitoring factors can be more comprehensively and reliably reflected, thereby effectively improving the accuracy of weight determination. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of the structure of an active power grid infrastructure safety management and control system based on multi-factor algorithm analysis provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiment of the present application solves the problem of incomplete safety supervision of infrastructure sites in the prior art by providing an active power grid infrastructure safety management and control system based on multi-factor algorithm analysis. The system obtains construction safety monitoring data of the power grid infrastructure site and pre-processes the collected construction safety monitoring data to obtain infrastructure safety monitoring factor data; obtains historical construction safety monitoring data of power grid infrastructure projects and analyzes the weights corresponding to the infrastructure safety monitoring factor data; inputs the infrastructure safety monitoring factor data and its corresponding weights into a multi-factor algorithm model to obtain a comprehensive infrastructure safety monitoring index, thereby issuing an early warning based on the comprehensive infrastructure safety monitoring index, thereby achieving improved comprehensiveness of safety supervision of the infrastructure site.

[0025] The technical solution in the embodiment of the present application is to solve the above-mentioned problem of incomplete safety supervision on the infrastructure construction site. The overall idea is as follows:

[0026] By obtaining the construction safety monitoring data of the power grid infrastructure site and preprocessing the collected construction safety monitoring data, the infrastructure safety monitoring factor data is obtained. The infrastructure safety monitoring factor data includes: operation safety index factor, working condition safety index factor, engineering information influencing factor, and personnel arrangement influencing factor; the early warning management module obtains the historical construction safety monitoring data of the power grid infrastructure project, analyzes the weights corresponding to the infrastructure safety monitoring factor data, and the weights corresponding to the infrastructure safety monitoring factor data represent the importance of the infrastructure safety monitoring factor in the comprehensive infrastructure safety monitoring index; the infrastructure safety monitoring factor data and its corresponding weights are input into the multi-factor algorithm model to obtain the comprehensive infrastructure safety monitoring index, which is used to reflect the comprehensive safety monitoring situation of the current power grid base station construction; and an early warning is issued according to the comprehensive infrastructure safety monitoring index. The comprehensiveness of safety supervision on the infrastructure site is improved.

[0027] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0028] like Figure 1 As shown, it is a structural schematic diagram of an active power grid infrastructure safety management and control system based on multi-factor algorithm analysis provided by an embodiment of the present application. The active power grid infrastructure safety management and control system based on multi-factor algorithm analysis provided by an embodiment of the present application includes: a factor data acquisition module, a weight acquisition module, a comprehensive situation acquisition module, and an early warning management module; wherein the factor data acquisition module is used to obtain the construction safety monitoring data of the power grid infrastructure site and pre-process the construction safety monitoring data to obtain the infrastructure safety monitoring factor data, and the infrastructure safety monitoring factor data includes: operation safety index factor, working condition safety index factor, engineering information influencing factor, and personnel arrangement influencing factor; the weight acquisition module is used to obtain the historical construction safety monitoring data of the power grid infrastructure project, analyze the weight corresponding to the infrastructure safety monitoring factor data, and the weight corresponding to the infrastructure safety monitoring factor data represents the importance of the infrastructure safety monitoring factor in the comprehensive infrastructure safety monitoring index; the comprehensive situation acquisition module is used to input the infrastructure safety monitoring factor data and its corresponding weight into the multi-factor algorithm model to obtain the comprehensive infrastructure safety monitoring index, and the comprehensive infrastructure safety monitoring index is used to reflect the comprehensive safety monitoring situation of the current power grid base station construction; the early warning management module is used to issue a monitoring early warning according to the comprehensive infrastructure safety monitoring index.

[0029] Furthermore, the method for obtaining the operation safety index factor is as follows: according to the pre-processed construction safety monitoring data, the engineering type safety index corresponding to each engineering type of power grid infrastructure project and the eight types of operation safety indexes of each operation are analyzed; from the engineering type safety index corresponding to each engineering type of power grid infrastructure project and the eight types of operation safety indexes of each operation, the maximum value of the engineering type safety index and the maximum value of the eight types of operation safety index are extracted respectively; the maximum value of the engineering type safety index and the maximum value of the eight types of operation safety index are weighted and normalized; and the operation safety index factor is obtained.

[0030] In this embodiment, the specific calculation formula of the operation safety index factor is: Y1=log2[max(PR m )*A1+max(EO n )*A2+1], where Y1 is the operation safety index factor, PR m is the engineering type safety index corresponding to the mth engineering type of power grid infrastructure project, m is the number of the power grid infrastructure project type, m = 1, 2, 3, ..., m0, m0 is the total number of power grid infrastructure project types, EO nis the safety index of the eight types of operations for the nth type of operation, n is the number of the type of operation in the eight types of operations, n = 1, 2, 3, 4, 56, 7, 8 represent demolition operations, extra-long pole operations, deep foundation pit operations, cableway operations, water operations, reverse wire pulling operations, non-stop crossing operations, and near-power operations, respectively; max(PR m )={0,1},max(EO n )={0,1}.

[0031] Furthermore, the method for obtaining the engineering type safety index is as follows: judge the abnormal situation of the sub-projects of the power grid infrastructure project. If any sub-project is abnormal, the power grid infrastructure project is currently abnormal. When the result is an abnormal situation, the judgment result is recorded as a value of 1, otherwise it is recorded as 0; compare the judgment result with the total number of engineering types of the power grid infrastructure project, and normalize it through an exponential function; obtain the first slope to obtain the engineering type safety index.

[0032] Specifically, the types of power grid infrastructure projects include new power generation projects, power plant expansion projects, transmission line and substation projects, smart grid projects, environmental protection facilities projects, supporting facilities projects, etc. The specific calculation formula for the project type safety index is: Where κ is the first slope, which is used to express the rate of change of the engineering type safety index with the ratio of the abnormal situation results of the sub-projects of the power grid infrastructure project to the total number of engineering types of the power grid infrastructure project. It can be adjusted according to the total number of engineering types of the power grid infrastructure project m0, so that the PR m ≥1 for early warning and other operations. Here, the default is m0=6. It is set to warn when there is an abnormality in a power grid infrastructure project. Therefore, the slope value can be κ≥1.61, and the 1.61 is 1.6067… The approximate value after retaining two decimal places. At this time, when one of the six power grid infrastructure projects appears abnormal, that is, PR m ≥1, an early warning is issued. Similarly, when PR m <1, no warning; pr m is the abnormal situation of the sub-project of the mth power grid infrastructure project, pr m ={0,1},pr m =1, it means that there is an abnormality in the power grid infrastructure project of the mth engineering type, pr m =0, it means that there is no abnormality in the m-th power grid infrastructure project; [·] are Iverson brackets.

[0033] Furthermore, the method for obtaining the safety index of the eight categories of operations is as follows: judge the abnormal conditions of the eight categories of operations. If any one of the operations is abnormal, the eight categories of operations are currently abnormal. When the result is an abnormal situation, the judgment result is recorded as a value of 1, otherwise it is recorded as 0; compare the judgment result with the total number of operation types of the eight categories of operations, and normalize it through an exponential function; obtain the second slope to obtain the safety index of the eight categories of operations.

[0034] Furthermore, new power generation projects include the construction of new power plants, energy storage facilities, and distributed energy systems; power plant expansion projects include the expansion of existing power plants and the transformation of existing transmission lines and substations; transmission line and substation projects include the construction of transmission lines, substations, and the transformation of existing transmission lines and substations; smart grid projects refer to the construction of smart grids; environmental protection facilities projects refer to the construction of environmental protection facilities; supporting facilities projects refer to the construction of supporting facilities. If any of the above sub-projects is abnormal, the grid infrastructure project is abnormal, that is, pr m =1, it indicates that there is an abnormality in the power grid infrastructure project of the mth engineering type.

[0035] Specifically, the specific calculation formula for the eight types of operation safety index is: In the formula, χ is the second slope, which is used to express the rate of change of the safety index of the eight types of operations with the ratio of the results of abnormal situations in the operations to the total number of operation types. It can be adjusted according to the total number of operation types n0, so that it can independently select the operation abnormality number to be warned when it exceeds a certain number. Here, n0=8 is the default, and it is set to warn when there is an abnormality in one project. Therefore, the slope value can be χ≥1.89, which is 1.8926… The divisor with two decimal places is retained. At this time, when one of the eight operations is abnormal, that is, EO n ≥1, an early warning is issued. Similarly, when EO n <1, no warning;eo n There are abnormal safety hazards in the nth type of operation, eo n ={0,1},eo n =1, it means that there is an exception in the nth type of job, eo n =0, it means that there is no abnormality in the nth type of operation; [·] is the Iverson bracket

[0036] Specifically, the "8+2 working conditions" mentioned by State Grid in the "three calculations, four inspections and five prohibitions" refer to eight types of operations + two working conditions. Among them, the eight types of operations refer to demolition, extra-long holding poles, deep foundation pits, cableways, water operations, reverse pulling, crossing without power outages, and near-power operations. The two working conditions refer to two key working conditions: special meteorological environments and special geographical conditions.

[0037] Furthermore, the eight types of operations usually have the following potential safety hazards during normal operations: demolition operations, which may cause the collapse of buildings or structures, worker injuries or equipment damage during the demolition process; overlong pole operations, improper pole length or operational errors may cause the pole to lose control, equipment damage, or even wire tripping or other power safety issues; deep foundation pit operations, pit collapse, earth slides, groundwater influx, etc. may cause casualties and project quality problems; cableway operations, equipment failure, cableway breakage, falling of transported items, etc. may cause equipment accidents and casualties, and attention should also be paid to the impact on the environment; water operations, ship capsizing, equipment damage, drowning, etc. may cause casualties, and it is necessary to deal with bad weather and the uncertainty of the marine environment; reverse wire pulling operations, wire breakage, operational errors, etc. may cause equipment accidents and casualties, especially when the space on the construction site is limited, the risk is greater; non-stop crossing operations, improper operation may cause wire short circuits and equipment failures, posing safety hazards to the power system, and in severe cases may cause fires; near-electricity operations, careless operation may cause electric shock, causing electric shock injuries, especially in high-voltage environments, the risk is higher. The actual detection results of the above hidden dangers can be obtained through equipment detection, personnel reporting, image detection and other technologies. Once the abnormal detection results are obtained, there is an abnormality in this type of operation.

[0038] Furthermore, the method for obtaining the operating condition safety index factor is: to judge the existence of special meteorological conditions and special terrain conditions; to weight the judgment results respectively, and to normalize them using a hyperbolic sine function; and to obtain the operating condition safety index factor.

[0039] Furthermore, the specific calculation formula of the operating condition safety index factor is: Y2=sinh(QX*a1+DX*a2), where Y2 is the operating condition safety index factor, QX is the existence of special meteorological conditions, the judgment results of the existence of special meteorological conditions include QX={0,1}, DX is the existence of special terrain conditions, and the judgment results of the existence of special terrain conditions include DX={0,1}. When the operating condition safety index factor is greater than 1, it means that special meteorological conditions and special terrain exist at the same time, and the safety level is extremely low. When the operating condition safety index factor is greater than 0.5 and less than 1, it means that there is only one kind of special meteorological conditions and special terrain, and the safety level is low. When the operating condition safety index factor is equal to 0, it means that special meteorological conditions and special terrain do not exist at the same time, and the safety level is good.

[0040] In this embodiment, the following potential safety hazards usually exist in the two working conditions during normal operation: special meteorological environment, severe weather such as storms, rainstorms, snowstorms, etc. may cause equipment operation difficulties and increase potential safety hazards; special geographical conditions, such as mountainous areas, swamps and other geographical conditions may cause equipment to fail to operate normally, hinder people from walking, and increase the risk of accidents. If any of the above risks or potential safety hazards exists, it means that the corresponding special meteorological or special terrain conditions are abnormal.

[0041] Furthermore, the method for obtaining the engineering information influencing factor is as follows: obtaining the engineering start-up interruption time and the actual construction duration of the power grid infrastructure project; simultaneously obtaining the maximum start-up interruption time and the standard construction duration; analyzing the ratio of the engineering start-up interruption time to the maximum start-up interruption time, recorded as the first ratio; analyzing the ratio of the standard construction duration to the actual construction duration, recorded as the second ratio; normalizing the first ratio and the second ratio using a hyperbolic tangent function; and obtaining the engineering information influencing factor.

[0042] In this embodiment, the specific calculation formula of the engineering information impact factor is: In the formula, Y3 is the project information impact factor, Δt is the project start-up interruption time, Δt max is the maximum interruption time of construction, T0 is the standard duration of the construction period, and T is the actual duration of the construction period. The closer the engineering information impact factor is to 1, the higher the safety level is, and vice versa, the farther it is from 1, the lower the safety level is. By comprehensively considering the interruption time of construction and the actual duration of the construction period, combined with the maximum interruption time and the standard duration of the construction period, a detailed evaluation of the impact factor of engineering information is achieved. Ratio analysis and hyperbolic tangent function are used for normalization to improve the comparability and scientificity of the results, making the impact factor of engineering information more specific and quantitative, which helps to accurately evaluate the potential impact of engineering information on infrastructure safety and provide a reliable basis for more effective safety management.

[0043] Furthermore, the method for obtaining the influencing factors of personnel arrangement is as follows: obtaining the change value of the number of engineering team members, the number of changes in management personnel, the number of new work teams, and the level of construction supervision; taking a weighted sum of the change value of the number of engineering team members, the number of changes in management personnel, and the number of new work teams to obtain a preliminary analysis result; dividing the preliminary analysis result by the level of construction supervision, and normalizing it using a hyperbolic cotangent function; and obtaining the influencing factors of personnel arrangement.

[0044] In this embodiment, the specific calculation formula of the personnel arrangement influencing factor is: In the formula, Y4 is the personnel arrangement influencing factor, ΔRS is the change in the number of engineering team members, ΔGL is the number of management personnel changes, XB is the number of new teams, and JL is the construction supervision level. The closer the personnel arrangement influencing factor is to 0, the higher the safety level, and vice versa.

[0045] Specifically, the impact of personnel arrangements on safety levels includes personnel surges, changes in management personnel, new work teams, and types of construction supervision units. When the number of personnel increases rapidly, the risk of accidents increases. Changes in management personnel may lead to instability in the management system and affect the continuity of safety management. Different supervision units may have different experiences and standards, which will have an impact on the safety management system and require regular evaluation and coordination. By comprehensively considering changes in the number of engineering teams, changes in management personnel, the number of new work teams, and the level of construction supervision, a comprehensive evaluation of the factors affecting personnel arrangements is achieved. The weighted sum and hyperbolic cotangent function are used for normalization to improve the accuracy and comparability of the analysis results, making the factors affecting personnel arrangements more specific and quantitative, which helps to accurately evaluate the potential impact of personnel allocation on infrastructure safety and provide a scientific basis for effective safety management.

[0046] Furthermore, usually, the supervision level is divided into level 1, level 2, level 3 and level 4 from low to high, among which level 4 supervision refers to the highest level, with the most complex tasks and the widest scope of responsibility. Level 1 supervision unit: suitable for small-scale, low-complexity projects, mainly responsible for technical document review, construction guidance and problem analysis; Level 2 supervision unit: suitable for medium-scale, medium-complexity projects, mainly focusing on decision-making document review, construction measures supervision, and ensuring that planning, design and construction meet standards; Level 3 supervision unit: suitable for large-scale, high-complexity projects, responsibilities include supervising construction, reviewing technical documents, reviewing progress, etc.; Level 4 supervision unit: suitable for extremely large-scale, extremely complex projects, fully responsible for the management of the entire project, including technology development, construction planning, supervision, etc., emphasizing quality, safety and economy.

[0047] Furthermore, the analysis method of the weight corresponding to the infrastructure safety monitoring factor data is as follows: obtain the historical construction safety monitoring data of the power grid infrastructure project; count the events of safety anomalies in the power grid base station project and their corresponding times, use the times as the first weight of the event, and the event is the abnormal event corresponding to the infrastructure safety monitoring factor data; at the same time, obtain the second weight of the event through the expert investigation method; average the first weight and the second weight of the event to obtain the weight corresponding to the infrastructure safety monitoring factor data.

[0048] In this embodiment, the calculation method of the weight corresponding to the infrastructure safety monitoring factor data is: In the formula, is the first weight of the event, is the second weight of the event, y iis the weight corresponding to the infrastructure safety monitoring factor data, i is the number of the infrastructure safety monitoring factor data, representing the operation safety index factor, working condition safety index factor, engineering information influencing factor, and personnel arrangement influencing factor respectively. By combining the weight calculation method of infrastructure safety monitoring factor data with historical construction safety monitoring data and expert surveys, a multivariate evaluation of weights is achieved. It relies on both actual project historical data and expert experience, ensuring the objectivity and comprehensiveness of the weights and improving the accuracy and reliability of weight calculation. This helps to more accurately reflect the importance of each monitoring factor in overall safety supervision, thereby improving the scientificity and practicality of infrastructure safety management.

[0049] Furthermore, the method for obtaining the comprehensive infrastructure safety monitoring index is as follows: according to the infrastructure safety monitoring factor data and its weight, input them into the multi-factor algorithm model to obtain the output result; normalize the output result to obtain the comprehensive infrastructure safety monitoring index; the calculation method of the comprehensive infrastructure safety monitoring index is: Where ψ is the comprehensive infrastructure safety monitoring index, Y i is the infrastructure safety monitoring factor data, y i is the weight corresponding to the infrastructure safety monitoring factor data, i is the number of the infrastructure safety monitoring factor data, i=1, 2, 3, 4 represent the operation safety index factor, working condition safety index factor, engineering information influencing factor, and personnel arrangement influencing factor, respectively, and δ is the error term.

[0050] Furthermore, the monitoring and early warning method is: when the comprehensive infrastructure safety monitoring index is not higher than the first threshold, no warning is issued; when the comprehensive infrastructure safety monitoring index is higher than the first threshold, a warning is issued; when a warning is issued, the abnormal situation of the infrastructure safety monitoring factor data is monitored, and when the warning is issued, the infrastructure safety monitoring factor data with abnormal situation is visualized and displayed to the user.

[0051] In this embodiment, the closer the comprehensive infrastructure safety monitoring index is to 0, the fewer abnormalities there are in the power grid infrastructure project, that is, the higher the safety level is, and the closer it is to 1, the lower the safety level of the power grid infrastructure project is.

[0052] In summary, the present invention obtains construction safety monitoring data of power grid infrastructure sites, and pre-processes the collected construction safety monitoring data to obtain infrastructure safety monitoring factor data; obtains historical construction safety monitoring data of power grid infrastructure projects, and analyzes weights corresponding to the infrastructure safety monitoring factor data; inputs the infrastructure safety monitoring factor data and its corresponding weights into a multi-factor algorithm model to obtain a comprehensive infrastructure safety monitoring index, thereby issuing an early warning based on the comprehensive infrastructure safety monitoring index, thereby achieving the goal of improving the comprehensiveness of safety supervision on infrastructure sites.

[0053] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0054] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0055] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0056] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0057] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An active power grid infrastructure safety management and control system based on multi-factor algorithm analysis, characterized in that: include: Factor data acquisition module, weight acquisition module, comprehensive situation acquisition module and early warning management module; The factor data acquisition module is used to obtain construction safety monitoring data of the power grid infrastructure site and pre-process the construction safety monitoring data to obtain infrastructure safety monitoring factor data, wherein the infrastructure safety monitoring factor data includes: operation safety index factor, working condition safety index factor, engineering information influencing factor and personnel arrangement influencing factor; The weight acquisition module is used to obtain historical construction safety monitoring data of power grid infrastructure projects, analyze the weights corresponding to the infrastructure safety monitoring factor data, and the weights corresponding to the infrastructure safety monitoring factor data represent the importance of the infrastructure safety monitoring factor in the comprehensive infrastructure safety monitoring index; The comprehensive situation acquisition module is used to input the infrastructure safety monitoring factor data and its corresponding weights into the multi-factor algorithm model to obtain a comprehensive infrastructure safety monitoring index, which is used to reflect the comprehensive safety monitoring situation of the current power grid base station construction; The early warning management module is used to issue monitoring early warnings based on the comprehensive infrastructure safety monitoring index; in, The method for obtaining the operation safety index factor is: According to the pre-processed construction safety monitoring data, the engineering type safety index corresponding to each engineering type of power grid infrastructure project and the eight types of operation safety indexes of each operation are analyzed; from the engineering type safety index corresponding to each engineering type of power grid infrastructure project and the eight types of operation safety indexes of each operation, the maximum value of the engineering type safety index and the maximum value of the eight types of operation safety index are extracted respectively; the maximum value of the engineering type safety index and the maximum value of the eight types of operation safety index are weighted and normalized; and the operation safety index factor is obtained; The method for obtaining the working condition safety index factor is: Determine the existence of special meteorological conditions and special terrain conditions; weight the judgment results respectively and normalize them using a hyperbolic sine function; and derive the operating condition safety index factor; The method for obtaining the engineering information impact factor is: Obtain the construction interruption time and actual construction duration of the power grid infrastructure project; obtain the maximum construction interruption time and the standard construction duration at the same time; analyze the ratio of the construction interruption time and the maximum construction interruption time, recorded as the first ratio; analyze the ratio of the standard construction duration and the actual construction duration, recorded as the second ratio; normalize the first ratio and the second ratio using the hyperbolic tangent function; and obtain the engineering information influencing factor; The method for obtaining the personnel arrangement influencing factor is: Obtain the change value of the number of engineering team members, the number of changes in management personnel, the number of new teams and the level of construction supervision; perform weighted summation on the change value of the number of engineering team members, the number of changes in management personnel and the number of new teams to obtain preliminary analysis results; divide the preliminary analysis results by the level of construction supervision and normalize them using the hyperbolic cotangent function; obtain the influencing factors of personnel arrangement; The analysis method of the weights corresponding to the infrastructure safety monitoring factor data is as follows: Obtain historical construction safety monitoring data of power grid infrastructure projects; count the events of safety anomalies in power grid base station projects and their corresponding times, use the times as the first weight of the event, and the event is an abnormal event corresponding to the infrastructure safety monitoring factor data; at the same time, obtain the second weight of the event through expert investigation method; average the first weight of the event and the second weight of the event to obtain the weight corresponding to the infrastructure safety monitoring factor data.

2. The active power grid infrastructure safety management and control system based on multi-factor algorithm analysis as claimed in claim 1, characterized in that: The method for obtaining the engineering type safety index is: Determine the abnormality of the sub-projects of the power grid infrastructure project. If any sub-project is abnormal, the power grid infrastructure project is currently abnormal. If the result is abnormal, the judgment result is recorded as a value of 1, otherwise it is recorded as 0; The judgment result is compared with the total number of engineering types of power grid infrastructure projects and normalized by an exponential function; Obtain the first slope and derive the engineering type safety index.

3. The active power grid infrastructure safety management and control system based on multi-factor algorithm analysis as claimed in claim 1, characterized in that: The method for obtaining the eight types of operation safety indexes is as follows: Determine the abnormality of the eight types of jobs. If any one of the eight types of jobs is abnormal, the current abnormality of the eight types of jobs is recorded. If the result is abnormal, the judgment result is recorded as 1, otherwise it is recorded as 0; The judgment results were compared with the total number of job types in the eight categories of jobs and normalized using an exponential function; The second slope is obtained to derive eight types of operation safety indexes.

4. The active power grid infrastructure safety management and control system based on multi-factor algorithm analysis as claimed in claim 1, characterized in that: The method for obtaining the comprehensive infrastructure safety monitoring index is: According to the infrastructure safety monitoring factor data and its weight, it is input into the multi-factor algorithm model to obtain the output result; The output results are normalized to obtain a comprehensive infrastructure safety monitoring index; The calculation method of the comprehensive infrastructure safety monitoring index is: Where ψ is the comprehensive infrastructure safety monitoring index, Y i is the infrastructure safety monitoring factor data, y i is the weight corresponding to the infrastructure safety monitoring factor data, i is the number of the infrastructure safety monitoring factor data, i=1, 2, 3, 4 represent the operation safety index factor, working condition safety index factor, engineering information influencing factor, and personnel arrangement influencing factor, respectively, and δ is the error term.

5. The active power grid infrastructure safety management and control system based on multi-factor algorithm analysis as claimed in claim 1, characterized in that: The monitoring and early warning method is: When the comprehensive infrastructure safety monitoring index is not higher than the first threshold, no warning is issued; When the comprehensive infrastructure safety monitoring index is higher than the first threshold, an early warning is issued; When an early warning is issued, the abnormal situation of the infrastructure safety monitoring factor data is monitored, and when the early warning is issued, the infrastructure safety monitoring factor data with abnormal situation is visualized and displayed to the user.

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