Optimization method and system for mapping of standard operation cost library and operation standard library

Abstract

The invention discloses a standard operation cost library and operation standard library mapping optimization method and system, and relates to the technical field of cost optimization, and the method comprises the following steps: collecting operation inspection project cost data, and building a standard operation cost library; screening the to-be-assigned operation through a matching algorithm based on a standard operation cost library to obtain an operation range of the operation inspection project; based on the operation range of the operation inspection project, the feasibility of the final reference operation is judged through the accurate matching degree of the work content, and if the work content is completely matched, the cost data of the existing operation is directly referred; if the work content cannot be accurately matched, analyzing a corresponding relation between the to-be-assigned work and the reference work, and calculating an adjustment coefficient; and establishing an adjustment model based on the adjustment coefficient, and optimizing the reference operation to obtain a cost assignment. By effectively connecting the standards of different jobs with the corresponding costs, an enterprise can ensure that all jobs follow the consistent standards during execution, so that the overall operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of standard operation cost library, and more specifically, to an optimization method and system for mapping a standard operation cost library with an operation standard library. Background Art

[0002] In recent years, with the deepening of power system reform, the scale of power grid investment has continued to expand, and the scale of power grid equipment assets has gradually increased. In order to implement the work deployment of improving the quality and efficiency of equipment assets, the mapping between the standard operation cost library and the operation standard library has been improved. The power grid maintenance, operation and management cost standards are an important basis for realizing scientific and lean budget and cost management, mainly including the maintenance operation costs of transmission assets, the maintenance operation costs of substation assets, the maintenance operation costs of distribution network assets, the operation costs of substation assets, the maintenance operation costs of communication assets, and the operation costs of information system operations. The operation standard library is the source of standard operations for various professions such as transmission, substation and distribution, and is recorded on the operation work order. Promote the comprehensive mapping of standard operation costs and standard operations, and realize the linkage update of the two databases; combine the application of new technologies, new processes, and new equipment in various professions, cooperate with the Finance Department to update the power grid production and operation operation cost standards, and realize that equipment assets fully adapt to the requirements of transmission and distribution price cost supervision and audit. Operation costs can provide important references for cost budget preparation and execution analysis, and provide strong support for fine evaluation of input-output, optimization of economic resource allocation, and enhancement of value creation capabilities. By focusing on promoting the integration of operation cost standardization, equipment asset integration, business data standardization, and production cost data pools, reasonably formulate production cost collection and allocation rules, clarify the matching logic and iteration principles of the two databases, and carry out statistical analysis and scenario applications. The project will strengthen the lean management of power grid maintenance operation costs throughout the entire process of operation and maintenance operations, which is of great significance to continuously improve the input-output efficiency and value creation capabilities of power grid assets, and improve the precise control level of operation and inspection production costs and the lean management level of power grid equipment assets.

[0003] The above disclosed technical solutions have at least the following technical problems: there is a disconnection between production management and capital control to a certain extent; different operating regions face different operating environments, which require further refinement of cost standards, improvement of standard cost management capabilities, and further precision and refinement to promote further improvement of cost management levels; different business forms face different standard cost management focuses, which require further refinement of cost standards between different business forms and strengthening control of maintenance cost processes. In view of the above problems, the present invention proposes a solution. Summary of the invention

[0004] In order to overcome the above defects of the prior art, an embodiment of the present invention provides an optimization method and system for mapping a standard operation cost library with an operation standard library, so as to solve the problems raised in the above background technology through XX.

[0005] To achieve the above object, the present invention provides the following technical solutions: The optimization method and system for mapping the standard operation cost library with the operation standard library include the following steps: collecting the operation and inspection project cost data and establishing the standard operation cost library; Based on the standard operation cost library, the matching algorithm is used to screen the operations to be assigned, and the operation scope of the operation and inspection project is obtained; Based on the scope of work of the operation and inspection project, the feasibility of the final reference work is judged by the degree of accurate matching of the work content. If the work content is completely matched, the cost data of the existing work is directly referenced; If the work content cannot be accurately matched, the correspondence between the work to be assigned and the reference work is analyzed and the adjustment coefficient is calculated; An adjustment model is established based on the adjustment coefficient and the reference operation is optimized to obtain the cost assignment.

[0006] In a preferred embodiment, the cost data of operation and maintenance projects is collected and a standard operation cost library is established, specifically: cost data, industry benchmark data and market conditions in past operation and maintenance projects are collected to obtain the cost structure of related projects; the collected cost data is classified based on cost elements and a classification catalog is established; according to the classification catalog, top-level classifications and sub-classifications are set and unique codes are set for the top-level classifications and sub-classifications respectively; cost analysis is performed on each operation based on the unique code and cost structure to obtain the standard operation volume and standard operation unit price of each operation; based on actual project experience and data analysis, the content and structure of the standard operation cost library are continuously improved and perfected.

[0007] In a preferred embodiment, the standard operation cost library is used to screen the operations to be assigned through a matching algorithm to obtain the operation scope of the operation and inspection project, specifically: the data of the operations to be assigned are collected, and the data of the operations to be assigned include specific requirements, time limits, personnel requirements, and equipment requirements of the operations; the data of the standard operation cost library and the operations to be assigned are feature defined to obtain feature vectors; the extracted feature vectors are standardized based on the box plot method; the similarity between the operations to be assigned and the operation features in the standard operation cost library is calculated based on the KNN algorithm to obtain the degree of matching between each operation to be assigned and the standard operation; a matching threshold is set according to project requirements to determine which operations to be assigned are considered qualified operations; and the operations to be assigned with a similarity higher than the threshold are screened out to form a candidate operation range.

[0008] In a preferred embodiment, the similarity calculation is performed on the job characteristics to be assigned and the job features in the standard job cost library based on the KNN algorithm to obtain the matching degree of each job to be assigned and the standard job, specifically: selecting a suitable K value according to actual needs; using the distance measurement method in the KNN algorithm to calculate the distance between the job to be assigned and the standard job; using the inverse of the distance as the similarity metric; for each job to be assigned, selecting the K standard jobs with the smallest distance to it as the nearest neighbors; according to the cost values ​​and similarities of the K nearest neighbors, calculating the matching degree or predicted cost value of the job to be assigned by weighted average or other methods.

[0009] In a preferred embodiment, the operation scope based on the operation and maintenance project determines the feasibility of the final reference operation by the degree of accurate matching of the work content, specifically: obtaining the specific work content of the operation and maintenance project, including equipment maintenance, troubleshooting, and data analysis; classifying the work content by type, complexity, required skills, etc.; preliminarily screening out potentially matching jobs by quickly browsing the content of the project to be evaluated and the existing jobs; performing a detailed comparison and analysis on the preliminarily screened jobs to ensure that the work content is fully matched at all levels; and scoring the degree of matching based on the comparison results; When the work content matches completely, the cost data of the existing work is directly referenced as the basis for cost estimation of the project to be evaluated.

[0010] In a preferred embodiment, the adjustment coefficient includes a basic adjustment coefficient, a voltage level adjustment coefficient and a maintenance level adjustment coefficient; the specific method for obtaining the basic adjustment coefficient is as follows: the basic attributes of the job to be assigned and the reference job are analyzed in detail, including the job type, work content, working environment, and required skills; by comparing these attributes, the similarities and differences between the two are obtained; according to the analysis results of the job attributes, the main factors affecting the job assignment are identified, and the main factors include the complexity of the working environment, the difficulty of the job, and the number of required resources; according to the quantitative standards, each adjustment factor in the job to be assigned and the reference job is quantitatively evaluated to obtain a quantitative score; the quantitative score of each adjustment factor is multiplied by its weight to obtain a weighted score of the adjustment factor; the weighted scores of all adjustment factors are summed to obtain a total score; the total score is divided by the sum of all weights to obtain the basic adjustment coefficient.

[0011] In a preferred embodiment, the specific method for obtaining the voltage level adjustment coefficient is as follows: according to the standard of the power system, the voltage level involved is obtained; parameter data of the operation to be assigned and the reference operation are collected, including voltage, current, power, equipment type, and load characteristics; by performing statistical analysis on the collected parameter data, a relationship model between the voltage level operation to be analyzed and the reference operation is established to obtain the difference in operation efficiency between different voltage levels; based on the difference in operation efficiency, the corresponding relationship between the operation to be assigned and the reference operation is calculated to obtain the voltage level adjustment coefficient.

[0012] In a preferred embodiment, the specific method for obtaining the maintenance level adjustment coefficient is as follows: Collect historical data of past maintenance operations, including workload, working hours and resource consumption; Preprocess the collected historical data, including removing duplicate records and processing missing values; compare the key indicators between the assigned job and the reference job, analyze the differences between the key indicators, and obtain the key indicators including the complexity of the work content, the required skill level, resource consumption, and time requirements; evaluate the impact of different independent variables on the dependent variable through a multivariate linear regression model; calculate the maintenance level adjustment coefficient through regression analysis based on the impact of different independent variables on the dependent variable.

[0013] Technical effects and advantages of the optimization method and system for mapping the standard operation cost library with the operation standard library of the present invention: 1. The present invention optimizes the mapping between the operation cost library and the operation standard library, so that enterprises can more accurately calculate and control the cost of each operation. This accuracy reduces unnecessary expenses and improves the rationality of the budget, allowing enterprises to allocate resources more effectively.

[0014] 2. The present invention can help enterprises achieve standardized management in the operation standard library through the optimized mapping method. By effectively connecting the standards of different operations with their corresponding costs, enterprises can ensure that all operations follow consistent standards when they are executed, thereby improving overall operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a structural schematic diagram of the optimization method for mapping the standard operation cost library and the operation standard library of the present invention.

[0016] Figure 2 It is a schematic diagram of the optimization system structure for mapping the standard operation cost library and the operation standard library of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1, Figure 1 The present invention provides an optimization method for mapping the standard operation cost library with the operation standard library, comprising the following steps: Collect the cost data of operation and inspection projects and establish a standard operation cost database; Based on the standard operation cost library, the matching algorithm is used to screen the operations to be assigned, and the operation scope of the operation and inspection project is obtained; Based on the scope of work of the operation and inspection project, the feasibility of the final reference work is judged by the degree of accurate matching of the work content. If the work content is completely matched, the cost data of the existing work is directly referenced; If the work content cannot be accurately matched, the correspondence between the work to be assigned and the reference work is analyzed and the adjustment coefficient is calculated; The reference operation is optimized based on the adjustment coefficient to obtain the cost assignment; S1, collect the cost data of operation and inspection projects, establish and improve the standard operation cost library; The standard operation cost database refers to a cost database established based on standard operation volume and standard operation unit price. The standard operation volume usually comes from the product design book, while the standard operation unit price depends on the standard consumption of resources and the standard price of resources during the operation.

[0019] The standard operating cost library provides a benchmark for cost management, allowing enterprises to more accurately predict and control product costs. By comparing with actual operating costs, enterprises can promptly discover cost differences and take corresponding management measures to reduce costs and improve efficiency.

[0020] The collection of operation and inspection project cost data and the establishment of a standard operation cost library are specifically as follows: Collect cost data, industry benchmark data and market conditions from past operation and inspection projects to obtain the cost structure of related projects; Classify the collected cost data based on cost elements and establish a classification catalog; According to the classification catalog, set up top-level categories and sub-categories and set unique codes for the top-level categories and sub-categories respectively; Perform cost analysis on each job based on unique coding and cost structure to obtain the standard workload and unit price of each job; Based on actual project experience and data analysis, continuously improve and perfect the content and structure of the standard operation cost library.

[0021] When adding new tasks to the equipment maintenance and operation database, some basic principles are needed to ensure the rationality of the task division. These principles include the following aspects.

[0022] First, it is necessary to meet the requirements of management. Meeting the requirements of management is the primary condition for the division of operations. The degree of refinement of operations should be balanced according to the key areas and non-key areas of enterprise management. For example, line maintenance is the top priority of power grid management, and it is necessary to divide it in detail. Activities are set up according to different professions to meet the needs of professional management; the requirements of maintenance management are met by setting up processes such as planned maintenance and daily maintenance; and operations related to work preparation and waiting are to meet the requirements of managers for production efficiency.

[0023] The second is the frequency of the operation. The operation should be a highly repetitive task within the department and consume resources within an operation cycle, so the operation has a certain cost.

[0024] The third is the singleness of the motivation. Cost objects consume operations in different ways. Operations should be divided into different categories to ensure that they are consumed in the same way.

[0025] Fourth, the appropriateness of the number of activities. For each maintenance enterprise, more activities are not necessarily better. Although increasing the number of activities can lead to fine management, it also increases the difficulty of management and the requirements for data accuracy. Too fine data is often difficult to collect, which increases costs and imposes an additional burden on the enterprise.

[0026] S2, based on the standard operation cost library, screen the operations to be assigned through the matching algorithm to obtain the operation scope of the operation and inspection project; Unassigned tasks refer to tasks that have not yet been assigned resources or clearly assigned. They are tasks that have not yet been assigned specific costs or values, but need to be costed or assigned in the subsequent process. These tasks are usually an indispensable part of the operation and inspection project, but due to various reasons (such as missing data, unclear cost drivers, etc.), cost calculation has not yet been completed. Usually, the following situations: Planned inspection and maintenance projects.

[0027] Urgent tasks that require priority scheduling.

[0028] The task of optimizing resource allocation.

[0029] These tasks need to be compared with the records in the existing job cost library through a matching algorithm to select the most suitable tasks to be performed.

[0030] The standard operation cost library is used to screen the operations to be assigned through a matching algorithm to obtain the operation scope of the operation and inspection project, specifically: The data of the job to be assigned is collected, and the data of the job to be assigned includes specific requirements, time limits, personnel requirements, and equipment requirements of the job; Define the characteristics of the data of the standard operation cost base and the operation to be assigned, and obtain the characteristic vector; The extracted feature vectors are standardized based on the box plot method; Based on the KNN algorithm, the similarity between the job characteristics in the to-be-assigned job and the standard job cost library is calculated to obtain the matching degree between each to-be-assigned job and the standard job. Set matching thresholds according to project requirements to determine which pending assignments are considered qualified; The jobs to be assigned with similarity higher than the threshold are screened out to form a candidate job range.

[0031] The KNN algorithm is used to calculate the similarity between the task to be assigned and the task features in the standard task cost library to obtain the matching degree between each task to be assigned and the standard task, specifically: Select K value: Select an appropriate K value based on actual needs. The K value indicates the number of nearest neighbors to refer to when making predictions.

[0032] Use the distance measurement method in the KNN algorithm to calculate the distance between the task to be assigned and the standard task; Use the inverse of the distance as a measure of similarity; Determine the degree of matching: For each job to be assigned, select the K standard jobs with the smallest distance to it as the nearest neighbors. Then, based on the cost values ​​and similarities of these K nearest neighbors, calculate the matching degree or predicted cost value of the job to be assigned by weighted average or other means.

[0033] The specific calculation formula of the distance measurement method is as follows:

[0034] Among them, x and y are the feature vectors of the task to be assigned and the standard task respectively. , are the i-th eigenvalues ​​of x and y respectively, and n is the number of features.

[0035] The specific calculation formula of similarity is as follows:

[0036] in, is a small positive number used to avoid the situation where the denominator is zero. By calculating the similarity between each job to be assigned and the standard job, a similarity matrix can be obtained.

[0037] Screening the tasks to be assigned based on the standard task cost library through matching algorithms has the following benefits: Improved accuracy: The KNN algorithm can find the standard job that is closest to the job to be assigned by calculating the similarity between the job to be assigned and the standard job. This helps to estimate the cost of the job to be assigned more accurately because the cost estimate is based on the standard job with known cost similar to the job to be assigned.

[0038] Automation and efficiency improvement: The KNN algorithm can automatically screen and match the pending assignment tasks with the standard tasks, reducing the need for manual intervention. This greatly improves the efficiency of job cost estimation, especially when dealing with a large number of tasks.

[0039] Cost savings: By accurately matching the work to be assigned with the standard work, unnecessary cost overruns can be avoided. Enterprises can manage resources more effectively, reduce waste, and achieve cost savings.

[0040] Decision support: Based on the results of KNN matching, enterprises can make more informed decisions. For example, they can select the optimal job execution plan based on the matching degree, or adjust the budget and resource allocation based on the cost estimate.

[0041] Flexibility and adaptability: The KNN algorithm is able to adapt to different data sets and characteristics. This means that even if the standard activity cost base changes (for example, adding new activities or updating costs), the KNN algorithm can easily adapt to these changes and continue to provide accurate matching results.

[0042] Interpretability: The results of the KNN algorithm are relatively easy to interpret. Companies can understand which standard tasks are most similar to the tasks to be assigned and how these similarities affect the cost estimates. This helps increase transparency and promotes communication and understanding within the organization.

[0043] Identify potential problems: During the matching process, if the similarity between the unassigned activity and all standard activities is very low, this may indicate that there are some unknown or insufficiently considered factors. This can serve as a signal to further review and adjust the characteristics of the standard activity cost base or the unassigned activity.

[0044] In summary, screening the assigned tasks based on the standard job cost library through the KNN matching algorithm can improve the accuracy, efficiency and flexibility of cost estimation, provide strong support for the decision-making support of the enterprise, and help discover potential problems.

[0045] S3, based on the scope of work of the operation and inspection project, the feasibility of the final reference work is judged by the degree of accurate matching of the work content. If the work content is completely matched, the cost data of the existing work is directly referenced; The job content matching principles include: Completeness matching: Ensure that the work content of the operation and maintenance project to be evaluated is completely consistent with the existing work content in all aspects, including but not limited to the specific steps of the work, required resources, technical requirements, etc.

[0046] Accurate matching: A meticulous comparison of the work content is carried out to ensure that no key information or detail differences are missed. Any minor differences may affect the accuracy and applicability of the cost data.

[0047] Logical consistency matching: Check whether the logical sequence and process of the work content are consistent to ensure that there are no cost changes caused by process adjustments or optimizations.

[0048] The operation scope based on the operation and inspection project determines the feasibility of the final reference operation by the degree of accurate matching of the work content, specifically: Obtain the specific work content of the operation and maintenance project, including equipment maintenance, troubleshooting, and data analysis; Categorize job content by type, complexity, required skills, etc.; Preliminary screening of potential matching jobs by quickly browsing the content of the projects to be evaluated and existing jobs; Carry out detailed comparison and analysis of the initially screened jobs to ensure that the work content is fully matched at all levels; According to the comparison results, the matching degree is scored; When the work content matches completely, the cost data of the existing work is directly referenced as the basis for cost estimation of the project to be evaluated.

[0049] Although the work content is completely matched, the cost data of existing jobs may need to be appropriately adjusted to take into account changes in time, market environment, resource prices and other factors.

[0050] Based on the reference cost data, a cost-benefit analysis is conducted to evaluate the economic feasibility and return on investment of the project to be evaluated.

[0051] S4, if the work content cannot be accurately matched, the correspondence between the work to be assigned and the reference work is analyzed and the adjustment coefficient is calculated; The adjustment coefficients include a basic adjustment coefficient, a voltage level adjustment coefficient and a maintenance level adjustment coefficient.

[0052] The basic adjustment coefficient is usually used to reflect the difference between the basic attributes or conditions of the task to be assigned and the reference task. This difference may be caused by differences in working environment, task requirements, resource allocation, etc.

[0053] The specific method for obtaining the basic adjustment coefficient is as follows: Detailed analysis of the basic attributes of the pending assignment and reference assignment, including assignment type, work content, work environment, and required skills; By comparing these properties, we can find the similarities and differences between the two. Based on the analysis results of the job attributes, identify the main factors that affect the job assignment, including the complexity of the working environment, the difficulty of the job, and the number of resources required; According to the quantitative standards, quantitative evaluation is performed on each adjustment factor in the assigned task and the reference task to obtain a quantitative score; Multiply the quantitative score of each adjustment factor by its weight to obtain the weighted score of the adjustment factor; The weighted scores of all adjustment factors were summed to obtain a total score; Divide the total score by the sum of all weights to get the base adjustment factor.

[0054] The specific calculation formula for the difference score between the assignment to be assigned and the reference assignment is as follows:

[0055] The specific calculation formula of the basic adjustment coefficient is as follows:

[0056] in, is the difference score between the task to be assigned and the reference task on the i-th feature, is the number of resources required for the job to be assigned, is the complexity of the working environment of the job to be assigned, is the difficulty of the task to be assigned, JC is the basic adjustment coefficient, is the weight of the i-th feature, and q is the number of features.

[0057] The voltage level adjustment factor is a factor used to adjust the workload or work standards between different voltage levels. This factor is set to ensure that in the power system, due to different voltage levels, the complexity, risk and technical requirements of the work may be different. Therefore, when conducting work assessment or resource allocation, it is necessary to make appropriate adjustments through the voltage level adjustment factor.

[0058] The specific method for obtaining the voltage level adjustment coefficient is as follows: According to the standards of the power system, it is first necessary to clarify the voltage levels involved. For example, common voltage levels include low voltage (such as 380V), medium voltage (such as 10kV, 35kV) and high voltage (such as 110kV, 220kV and above).

[0059] Collect parameter data of the operation to be assigned and the reference operation, including voltage, current, power, equipment type, and load characteristics; By statistically analyzing the collected parameter data, a relationship model between the voltage level operation to be analyzed and the reference operation is established to obtain the differences in operation efficiency between different voltage levels; The corresponding relationship between the to-be-assigned job and the reference job is calculated based on the job efficiency difference to obtain the voltage level adjustment coefficient.

[0060] The specific calculation formula of the voltage level adjustment coefficient is as follows:

[0061] In the formula, DY is the voltage level adjustment coefficient, V is the voltage of the operation to be assigned, P is the power of the operation to be assigned, I is the current of the operation to be assigned, F is the standard value of the equipment type, and f is the standard value of the load characteristic.

[0062] The maintenance level adjustment factor is usually used in engineering management and maintenance management to ensure that the workload, working hours and costs of different maintenance operations can be reasonably adjusted and matched when evaluating and comparing different maintenance operations. This adjustment factor helps to evaluate the workload of the operation to be assigned based on the existing reference operation in the absence of an exact match.

[0063] The specific method for obtaining the maintenance level adjustment coefficient is as follows: Collect historical data of past maintenance operations, including workload, working hours and resource consumption; Preprocess the collected historical data, including removing duplicate records and processing missing values; Compare the key indicators between the assigned task and the reference task, analyze the differences between the key indicators, and obtain the key indicators including the complexity of the work content, the required skill level, resource consumption (such as materials, equipment, etc.), and time requirements (such as maintenance cycle, urgency, etc.); Use multiple linear regression models to assess the impact of different independent variables (such as workload, technical difficulty, etc.) on dependent variables (such as working hours or costs); According to the influence of different independent variables on the dependent variable, the maintenance level adjustment coefficient is calculated through regression analysis.

[0064] The specific calculation formula of the maintenance level adjustment coefficient is as follows:

[0065] Among them, JX is the maintenance level adjustment coefficient, T is the maintenance cycle, H is the maintenance workload, and W is the resource consumption.

[0066] The benefits of the maintenance level adjustment factor for evaluating the workload of the work to be assigned are: Improve the accuracy of workload assessment: The maintenance level adjustment coefficient can make a more refined division and assessment of workload according to the characteristics and requirements of different maintenance levels. This avoids the "one-size-fits-all" phenomenon that may exist in traditional assessment methods, making workload assessment closer to reality and improving the accuracy of assessment.

[0067] Optimize resource allocation and personnel scheduling: By introducing the maintenance level adjustment coefficient, enterprises can more accurately understand the workload required for different maintenance levels, thereby optimizing resource allocation and personnel scheduling. This helps ensure that each maintenance task can be supported by appropriate personnel and equipment, avoid waste of resources and idle personnel, and improve overall work efficiency.

[0068] Enhance the rationality and flexibility of work arrangements: The maintenance level adjustment coefficient enables the work arrangements to be flexibly adjusted according to the needs of different maintenance levels. Enterprises can reasonably arrange the priority and sequence of maintenance tasks according to actual conditions to ensure that the maintenance of key equipment and important systems is given priority. At the same time, this flexibility also helps to deal with emergencies and urgent tasks and improve emergency response capabilities.

[0069] Promoting cost-benefit analysis: The maintenance level adjustment coefficient can also provide strong support for cost-benefit analysis. By comparing the workload and cost of different maintenance levels, enterprises can more clearly understand the economic benefits and input-output ratio of each maintenance task. This helps enterprises to formulate more reasonable maintenance strategies and budget plans to minimize costs and maximize benefits.

[0070] Improve the quality and safety of maintenance work: Accurate workload assessment helps ensure the quality and safety of maintenance work. By properly arranging the workload, quality problems and safety hazards caused by overload or underload can be avoided. At the same time, the maintenance level adjustment coefficient can also guide enterprises to focus on the maintenance of key equipment and important systems to ensure the safety and reliability of these equipment and systems.

[0071] In summary, the maintenance level adjustment coefficient has many benefits for evaluating the workload of the assigned work, including improving the accuracy of the evaluation, optimizing resource allocation and personnel scheduling, enhancing the rationality and flexibility of work arrangements, promoting cost-benefit analysis, and improving the quality and safety level of maintenance work. The realization of these benefits will help enterprises better manage and optimize maintenance work and improve overall operational efficiency and competitiveness.

[0072] S5, establishing an adjustment model based on the adjustment coefficient and optimizing the reference operation to obtain a cost assignment; The specific calculation formula of the adjustment model is as follows:

[0073] in, is the optimized cost assignment, C is the basic cost of the reference operation, JC is the basic adjustment coefficient, DY is the voltage level adjustment coefficient, JX is the maintenance level adjustment coefficient, is the preset basic adjustment coefficient weight factor, is the preset voltage level adjustment coefficient weight factor, Adjust the coefficient weighting factors for the preset maintenance level.

[0074] Embodiment 2, the optimization system for mapping the standard operation cost library with the operation standard library, comprises the following modules: a data collection module, a screening module, a work content matching module, an adjustment module and a model building module.

[0075] Data collection module: used to collect operation and inspection project cost data and establish a standard operation cost database; Screening module: used to screen the operations to be assigned based on the standard operation cost library through matching algorithms to obtain the operation scope of the operation and inspection project; Work content matching module: used to determine the feasibility of the final reference work based on the work scope of the operation and inspection project by accurately matching the work content. If the work content is completely matched, the cost data of the existing work is directly referenced; Adjustment module: used to analyze the correspondence between the task to be assigned and the reference task and calculate the adjustment coefficient if the task content cannot be accurately matched; Model building module: used to build an adjustment model based on the adjustment coefficient and optimize the reference operation to obtain the cost assignment.

[0076] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0077] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0078] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0079] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0080] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0081] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The optimization method for mapping the standard operation cost library with the operation standard library is characterized by: The following steps are involved: Collect the cost data of operation and inspection projects and establish a standard operation cost database; Based on the standard operation cost library, the matching algorithm is used to screen the operations to be assigned, and the operation scope of the operation and inspection project is obtained; Based on the scope of work of the operation and inspection project, the feasibility of the final reference work is judged by the degree of accurate matching of the work content. If the work content is completely matched, the cost data of the existing work is directly referenced; If the work content cannot be accurately matched, the correspondence between the work to be assigned and the reference work is analyzed and the adjustment coefficient is calculated; An adjustment model is established based on the adjustment coefficient and the reference operation is optimized to obtain the cost assignment.

2. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 1, characterized in that: The collection of operation and inspection project cost data and the establishment of a standard operation cost library are specifically as follows: Collect cost data, industry benchmark data and market conditions from past operation and inspection projects to obtain the cost structure of related projects; Classify the collected cost data based on cost elements and establish a classification catalog; According to the classification catalog, set up top-level categories and sub-categories and set unique codes for the top-level categories and sub-categories respectively; Perform cost analysis on each job based on unique coding and cost structure to obtain the standard workload and unit price of each job; Based on actual project experience and data analysis, continuously improve and perfect the content and structure of the standard operation cost library.

3. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 2, characterized in that: The standard operation cost library is used to screen the operations to be assigned through a matching algorithm to obtain the operation scope of the operation and inspection project, specifically: The data of the job to be assigned is collected, and the data of the job to be assigned includes specific requirements, time limits, personnel requirements, and equipment requirements of the job; Define the characteristics of the data of the standard operation cost base and the operation to be assigned, and obtain the characteristic vector; The extracted feature vectors are standardized based on the box plot method; Based on the KNN algorithm, the similarity between the job characteristics in the to-be-assigned job and the standard job cost library is calculated to obtain the matching degree between each to-be-assigned job and the standard job. Set matching thresholds according to project requirements to determine which pending assignments are considered qualified; The jobs to be assigned with similarity higher than the threshold are screened out to form a candidate job range.

4. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 3 is characterized in that: The KNN algorithm is used to calculate the similarity between the task to be assigned and the task features in the standard task cost library to obtain the matching degree between each task to be assigned and the standard task, specifically: Select the appropriate K value according to actual needs; Use the distance measurement method in the KNN algorithm to calculate the distance between the task to be assigned and the standard task; Use the inverse of the distance as a measure of similarity; For each job to be assigned, select the K standard jobs with the smallest distance to it as the nearest neighbors; According to the cost values ​​and similarities of the K nearest neighbors, the matching degree or predicted cost value of the job to be assigned is calculated by weighted average or other methods.

5. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 4, characterized in that: The operation scope based on the operation and inspection project determines the feasibility of the final reference operation by the degree of accurate matching of the work content, specifically: Obtain the specific work content of the operation and maintenance project, including equipment maintenance, troubleshooting, and data analysis; Categorize job content by type, complexity, required skills, etc.; Preliminary screening of potential matching jobs by quickly browsing the content of the projects to be evaluated and existing jobs; Carry out detailed comparison and analysis of the initially screened jobs to ensure that the work content is fully matched at all levels; According to the comparison results, the matching degree is scored; When the work content matches completely, the cost data of the existing work is directly referenced as the basis for cost estimation of the project to be evaluated.

6. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 5, characterized in that: The adjustment coefficients include basic adjustment coefficients, voltage level adjustment coefficients and maintenance level adjustment coefficients; The specific method for obtaining the basic adjustment coefficient is as follows: Detailed analysis of the basic attributes of the pending assignment and reference assignment, including assignment type, work content, work environment, and required skills; By comparing these properties, we can find the similarities and differences between the two. Based on the analysis results of the job attributes, identify the main factors that affect the job assignment, including the complexity of the working environment, the difficulty of the job, and the number of resources required; According to the quantitative standards, quantitative evaluation is performed on each adjustment factor in the assigned task and the reference task to obtain a quantitative score; Multiply the quantitative score of each adjustment factor by its weight to obtain the weighted score of the adjustment factor; The weighted scores of all adjustment factors were summed to obtain a total score; Divide the total score by the sum of all weights to get the base adjustment factor.

7. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 6, characterized in that: The specific method for obtaining the voltage level adjustment coefficient is as follows: Obtain the voltage levels involved according to the standards of the power system; Collect parameter data of the operation to be assigned and the reference operation, including voltage, current, power, equipment type, and load characteristics; By statistically analyzing the collected parameter data, a relationship model between the voltage level operation to be analyzed and the reference operation is established to obtain the differences in operation efficiency between different voltage levels; The corresponding relationship between the to-be-assigned job and the reference job is calculated based on the job efficiency difference to obtain the voltage level adjustment coefficient.

8. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 7, characterized in that: The specific method for obtaining the maintenance level adjustment coefficient is as follows: Collect historical data of past maintenance operations, including workload, working hours and resource consumption; Preprocess the collected historical data, including removing duplicate records and processing missing values; Compare the key indicators between the assigned task and the reference task, analyze the differences between the key indicators, and obtain the key indicators including the complexity of the work content, the required skill level, resource consumption, and time requirements; Multiple linear regression models were used to assess the impact of different independent variables on the dependent variable; According to the influence of different independent variables on the dependent variable, the maintenance level adjustment coefficient is calculated through regression analysis.

9. The optimization method for mapping the standard operation cost library with the operation standard library according to claim 8, characterized in that: The specific calculation formula of the basic adjustment coefficient is as follows: in, is the difference score between the task to be assigned and the reference task on the i-th feature, is the number of resources required for the job to be assigned, is the complexity of the working environment of the job to be assigned, is the difficulty of the task to be assigned, JC is the basic adjustment coefficient, is the weight of the i-th feature, and q is the number of features.

10. A system for optimizing the mapping between a standard operation cost library and an operation standard library, used to implement the method for optimizing the mapping between a standard operation cost library and an operation standard library as claimed in any one of claims 1 to 9, characterized in that: It includes the following modules: data collection module, screening module, work content matching module, adjustment module and model building module. Data collection module: used to collect operation and inspection project cost data and establish a standard operation cost database; Screening module: used to screen the operations to be assigned based on the standard operation cost library through matching algorithms to obtain the operation scope of the operation and inspection project; Work content matching module: used to determine the feasibility of the final reference work based on the work scope of the operation and inspection project by accurately matching the work content. If the work content is completely matched, the cost data of the existing work is directly referenced; Adjustment module: used to analyze the correspondence between the task to be assigned and the reference task and calculate the adjustment coefficient if the task content cannot be accurately matched; Model building module: used to build an adjustment model based on the adjustment coefficient and optimize the reference operation to obtain the cost assignment.

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