Full-service monitoring management and control method and system for special project of comprehensive plan of power grid enterprise

Abstract

The invention relates to the technical field of power grid comprehensive plan management, and particularly discloses a power grid enterprise comprehensive plan special project full-service monitoring control method and system, and the method comprises the steps: constructing a full-service monitoring analysis index system of a power grid enterprise comprehensive plan special project, determining a standard threshold value of each monitoring index in the full-service monitoring analysis index system; obtaining current basic data of the special project of the comprehensive plan of the power grid enterprise, and calculating a current actual value of each monitoring index in the full-service monitoring analysis index system according to the current basic data; and comparing the current actual value of each monitoring index with a standard threshold value, and calculating a comprehensive score of the comprehensive plan special project of the power grid enterprise according to a comparison result and the weight of each monitoring index, so as to monitor and control the full service of the comprehensive plan special project of the power grid enterprise. According to the invention, the digital and intelligent management level of the special project of the comprehensive plan of the power grid enterprise can be promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated power grid planning and management, and more specifically, to a method, system, equipment and medium for monitoring and controlling the entire business of a comprehensive planning special project of a power grid enterprise. Background Art

[0002] In promoting both grid and company transformation, the company faces multiple challenges, including power market reform and the development of a new power system. On the one hand, regulatory requirements for grid investment are becoming increasingly stringent. Grid projects, from construction inception to final acceptance and throughout their entire lifecycle, are subject to multiple oversight and inspections by various regulatory authorities. With increasing regulatory scrutiny, effective asset verification and cost auditing are becoming increasingly stringent, placing higher demands on the standardization, effectiveness, and cost-effectiveness of grid project management throughout the entire process. On the other hand, advancing energy transformation and building a new power system are placing even higher demands on the company's lean management and control of comprehensive planning projects. Project management is becoming significantly more complex, placing even higher demands on the coordination of business processes, management requirements, and information exchange between various project departments, including development, infrastructure, equipment, materials, and finance. There is an urgent need to further strengthen the integration of the entire grid operation process, standardize the full-process management and control of comprehensive planning and special projects, and continuously improve lean management.

[0003] Comprehensive plan management has the characteristics of wide coverage, involving many departments, long management chain, and large amount of information. Moreover, each special plan management system is independently constructed by a professional department, and the management system is mostly isolated. There are problems such as scattered management objectives, unclear interfaces, and low management and control capabilities, resulting in insufficient coordination between comprehensive plan and special plan management. Summary of the Invention

[0004] In response to the above problems, the purpose of the present invention is to provide a full-business monitoring and control method, system, equipment and medium for special projects in the comprehensive plan of power grid enterprises, which is targeted at the characteristics of each special project in the comprehensive plan, with comprehensive coverage, reasonable nodes and strict rules.

[0005] As a first aspect of the present invention, a method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise is provided, comprising:

[0006] Step S1: constructing a full-service monitoring and analysis indicator system for a special project of a comprehensive plan of a power grid enterprise, and using a preset method to determine a standard threshold value for each monitoring indicator in the full-service monitoring and analysis indicator system;

[0007] Step S2: obtaining current basic data of the special project of the comprehensive plan of the power grid enterprise, and calculating the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data;

[0008] Step S3: Compare the current actual value of each monitoring indicator in the full-business monitoring and analysis indicator system with its standard threshold value, and calculate the comprehensive score of the power grid enterprise comprehensive plan special project based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system, so as to monitor and control the full business of the power grid enterprise comprehensive plan special project.

[0009] Furthermore, the full-service monitoring and analysis indicator system for the comprehensive plan special project of the power grid enterprise is constructed, and further includes:

[0010] Taking the entire business process of the power grid enterprise comprehensive plan special project as the main line, the power grid enterprise comprehensive plan special project is divided into four major links: planning, reserve, planning and budgeting, and project implementation;

[0011] Risk analysis is conducted for the entire process of each special project, and business monitoring is carried out based on four dimensions: project compliance, timeliness of milestone execution, value rationality, and investment effectiveness, in order to build a full-business monitoring and analysis indicator system for the special projects of the comprehensive plan of the power grid enterprise.

[0012] Furthermore, the use of a preset method to determine the standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system also includes:

[0013] Determine preliminary standard thresholds for each monitoring indicator in the full business monitoring and analysis indicator system based on business experience, company management regulations and business rules;

[0014] Using big data mining technology, optimizing the preliminary standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system to obtain the optimized standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system;

[0015] The optimized standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system is verified and adjusted by an experimental method to obtain the final standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system.

[0016] Furthermore, the use of big data mining technology to optimize the preliminary standard threshold of each monitoring indicator in the full business monitoring and analysis indicator system to obtain the optimized standard threshold of each monitoring indicator in the full business monitoring and analysis indicator system also includes:

[0017] For monitoring indicators where sample data is less than the preset value, statistical analysis methods are used to determine the optimized standard threshold;

[0018] For monitoring indicators whose sample data is greater than the preset value, the classification model or K-means clustering analysis method is used to determine its optimized standard threshold.

[0019] Furthermore, the obtaining of current basic data of the special project of the comprehensive plan of the power grid enterprise and calculating the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data also includes:

[0020] Acquire current basic data of the special project of the comprehensive plan of the power grid enterprise from different data source end systems, and pre-process the current basic data;

[0021] The current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system is calculated based on the pre-processed current basic data.

[0022] Furthermore, the preprocessing of the current basic data further includes:

[0023] Identify abnormal data in the current basic data using the 3σ principle or interquartile range, and eliminate the abnormal data in the current basic data;

[0024] Using a regression model or a KNN algorithm to predict missing data in the current basic data, and filling in the missing data in the current basic data;

[0025] The current basic data are standardized by Z-score standardization or Min-Max standardization, and the dimensions are unified to eliminate unit differences.

[0026] Furthermore, the comprehensive score of the special project of the comprehensive plan of the power grid enterprise is calculated based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system to monitor and control the full business of the special project of the comprehensive plan of the power grid enterprise, and further includes:

[0027] Establish a regular calibration and real-time feedback mechanism to optimize the comprehensive scoring rules of the special projects of the comprehensive plan of the power grid enterprise according to data changes or business adjustments.

[0028] As a second aspect of the present invention, a full-service monitoring and control system for a comprehensive plan special project of a power grid enterprise is provided, comprising:

[0029] A determination module is used to construct a full-service monitoring and analysis indicator system for a special project of a comprehensive plan of a power grid enterprise, and to determine the standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system using a preset method;

[0030] A calculation module, configured to obtain current basic data of a special project of a comprehensive plan of a power grid enterprise, and calculate the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data;

[0031] The management and control module is used to compare the current actual value of each monitoring indicator in the full-business monitoring and analysis indicator system with its standard threshold value, and calculate the comprehensive score of the special project of the comprehensive plan of the power grid enterprise based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system, so as to monitor and control the full business of the special project of the comprehensive plan of the power grid enterprise.

[0032] As a third aspect of the present invention, there is provided a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods described above.

[0033] As a fourth aspect of the present invention, a computing device is provided, comprising: one or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the methods described above.

[0034] The method and system for full-business monitoring and control of comprehensive plan special projects of power grid enterprises provided by the present invention have the following advantages: the present invention ensures data quality through real-time data collection and preprocessing, comprehensively adopts multiple methods to determine indicator standard thresholds, establishes a set of comprehensive plan project full-business monitoring and analysis indicator systems, and constructs a closed-loop early warning mechanism for the entire project process. It not only solves the problem of insufficient coordination between comprehensive plan and special plan management, but also establishes a full-process project management and monitoring system, conducts full-process project monitoring and analysis based on the normal operation of the project middle platform, establishes and improves the planning guidance and plan coordination management mechanism with project management as the starting point, realizes the intelligent and dynamic management of comprehensive plan, and provides a powerful grip for comprehensive plan project management business monitoring, thereby promoting the company's comprehensive plan special project digitalization and intelligent management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present invention, but do not constitute a limitation of the present invention.

[0036] Figure 1 This is a flow chart of a method for monitoring and controlling all business aspects of a comprehensive plan special project for a power grid enterprise provided by an embodiment of the present invention.

[0037] Figure 2 A scatter plot showing the proportion of the reported amount of material demand to the estimated amount provided in the embodiment of the present invention.

[0038] Figure 3 This is a graph showing the cumulative distribution of the proportion of the material demand submission amount to the estimated budget provided in an embodiment of the present invention.

[0039] Figure 4 A diagram illustrating a theoretical requirement submission time determination process according to an embodiment of the present invention.

[0040] Figure 5 This is a diagram of the overall alarm situation of a production technology transformation special company provided in an embodiment of the present invention.

[0041] 6A to 6D This is a diagram of the alarm status of the production technical transformation project by unit provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation method, structure, characteristics and effects of the full-business monitoring and control method and system for comprehensive planning special projects of power grid enterprises proposed in accordance with the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0043] The problem to be solved by the present invention is how to use a variety of analysis methods to mine the characteristics and rules of each special project based on the management characteristics and differences in project planning, reserve, planning, and execution, and build a set of full-business monitoring and analysis indicator systems for comprehensive plan special projects of power grid enterprises, so as to achieve vertical penetration and horizontal linking of processes, break through professional, departmental, and hierarchical barriers, monitor and analyze from the perspectives of project compliance, timeliness of milestone execution, value rationality, and investment effectiveness, discover problems in the project, conduct root cause analysis, analyze key influencing factors, and put forward project management and control suggestions, so as to provide a powerful grip for comprehensive plan project management business monitoring, thereby promoting the improvement of the company's comprehensive plan special project digitalization and intelligent management level.

[0044] Based on this, in some embodiments of the present invention, a method for monitoring and controlling the entire business of a comprehensive plan project of a power grid enterprise is provided. With project management business as the core and project management data as the basis, relying on the intelligent management means of the project middle platform, it is aimed at 16 special projects of the comprehensive plan, and the company's planning, project reserves, comprehensive plans and project execution are coordinated throughout the entire process, supervised throughout the entire process and covered with all elements. By establishing a full-process management and monitoring body for the project, the weak points of project construction control are accurately located, and the disconnected state of infrastructure, finance and development information is effectively changed, and cross-departmental and cross-business data is connected, providing a powerful grip for the comprehensive plan project management business monitoring, thereby promoting the digitalization and intelligent management level of the company's comprehensive plan special projects.

[0045] Correspondingly, in other embodiments of the present invention, a full-service monitoring and control system, equipment, and medium for a special project of a comprehensive plan of a power grid enterprise are provided.

[0046] Example 1

[0047] like Figure 1 As shown, this embodiment provides a method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise, and the method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise includes the following steps:

[0048] Step S1: constructing a full-service monitoring and analysis indicator system for a special project of a comprehensive plan of a power grid enterprise, and using a preset method to determine a standard threshold value for each monitoring indicator in the full-service monitoring and analysis indicator system;

[0049] Preferably, the full-service monitoring and analysis indicator system for building a special project of a comprehensive plan for a power grid enterprise further includes:

[0050] Step S11: Taking the entire business process of the power grid enterprise comprehensive plan special project as the main line, the power grid enterprise comprehensive plan special project is divided into four major links: planning, reserve, planning and budgeting, and project implementation;

[0051] Step S12: Conduct risk analysis for the entire process of each special project, and conduct business monitoring based on the four dimensions of project compliance, timeliness of milestone execution, value rationality, and investment effectiveness, so as to construct a full-business monitoring and analysis indicator system for the special project of the comprehensive plan of the power grid enterprise.

[0052] Furthermore, the above step S12 includes the following contents:

[0053] 1.2.1) Planning

[0054] For the planning phase, this embodiment conducts business monitoring from three dimensions: project compliance, value rationality, and investment effectiveness. Specifically, the project compliance dimension includes monitoring indicators such as the project planning information completeness rate and the delay in the entry of planned projects into the database; the value rationality dimension includes monitoring indicators such as the special plan investment scale exceeding the limit and the project plan investment deviation rate; and the investment effectiveness dimension includes monitoring indicators such as the plan implementation rate. See Table 1 for details.

[0055] Table 1 Preliminary indicators of planning phase

[0056] Business monitoring dimension Indicator name Project Compliance Project planning information completeness rate and planned project storage delay Value rationality Special planning investment scale exceeds the limit, project planning investment deviation rate Investment effectiveness Planning implementation rate

[0057] 1.2.2) Reserve

[0058] For the reserve phase, this embodiment conducts business monitoring from three dimensions: project compliance, milestone execution timeliness, and value rationality. Specifically, the project compliance dimension includes monitoring indicators such as insufficient project necessity, project reserve information completeness rate, project reserve information accuracy rate, project reserve information standardization rate, and exceeding approval authority; the milestone execution timeliness dimension includes monitoring indicators such as untimely reserve progress, untimely feasibility study approval, and overdue feasibility study approval; and the value rationality dimension includes monitoring indicators such as the deviation rate between project feasibility study estimates and planned investment, the deviation rate of feasibility study investment estimates, significant changes in reserve structure, and abnormal reserve size. See Table 2 for details.

[0059] Table 2 Preliminary indicators of the reserve link

[0060]

[0061] 1.2.3) Planning and budgeting

[0062] For the planning and budgeting phase, this embodiment conducts business monitoring from three dimensions: project compliance, timeliness of milestone execution, and value rationality. Specifically, the project compliance dimension includes monitoring indicators such as non-compliance with the plan submission process, non-compliance with the process for replacing undecomposed project details, cross-year project establishment, inconsistency between the issuance of pre-arranged project plans and the ERP project establishment year, insufficient project establishment accuracy, and non-compliance with the project adjustment process; the milestone schedule execution timeliness dimension includes monitoring indicators such as pre-arranged scale exceeding the limit, project plan decomposition and execution progress lagging, untimely decomposition of pre-arranged plans, untimely project establishment, and non-compliance with pre-arranged project adjustments; the value rationality dimension includes monitoring indicators such as inconsistency between the annual investment plan and the annual budget, untimely cost carry-over after the plan is reduced to zero, and unplanned implementation. See Table 3 for details.

[0063] Table 3 Preliminary indicators of planning and budgeting

[0064]

[0065] 1.2.4) Project implementation

[0066] For the project implementation phase, this embodiment conducts business monitoring from three dimensions: project compliance, timeliness of milestone execution, and reasonable value. Specifically, the project compliance dimension includes monitoring indicators such as large changes between the initial design and feasibility study plan, abnormal project start, non-compliant accounting, abnormal project completion, non-standard acceptance process, technical transformation project without updating the asset card capitalization date, and abnormal closure; the milestone progress execution timeliness dimension includes monitoring indicators such as untimely initial design approval, untimely submission of material requirements, untimely signing of material contracts, untimely submission of service requirements, untimely signing of service contracts, untimely project start, no progress in construction, suspected overdue projects, untimely arrival of goods, untimely accounting, untimely submission of project completion, Monitoring indicators include untimely provisional capital transfer, untimely settlement, untimely final settlement, and untimely project closure; the value rationality dimension includes the deviation rate between the initial estimate and the feasibility study estimate, inaccurate material demand submission, material contract deviation rate, inaccurate service demand submission, service contract deviation rate, mismatch between material collection and feasibility study demand scale, expired engineering material inventory, mismatch between fund payment progress and actual construction progress, delayed investment accounting progress, mismatch between fund payment progress and project cost accounting progress, insufficient provisional capital transfer, and project final settlement surplus rate, as shown in Table 4 for details.

[0067] Table 4 Preliminary indicators of project implementation

[0068]

[0069]

[0070] It should be noted that the standard thresholds of each monitoring indicator are determined by establishing a threshold management process, first setting a baseline based on business experience, then optimizing it using big data mining technology, and finally verifying it through experimental methods.

[0071] Preferably, the method of determining the standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system by a preset method further includes:

[0072] Determine preliminary standard thresholds for each monitoring indicator in the full business monitoring and analysis indicator system based on business experience, company management regulations and business rules;

[0073] In this embodiment, by inviting experts in the fields of relevant planning, reserves, plans and investment statistics, the threshold baselines of the monitoring indicators are preliminarily determined based on their professional knowledge and in combination with the company's management regulations and business rules.

[0074] Based on expert experience: Monitoring indicators determined based on expert experience include delayed entry of planned projects into the database, excessive investment in special plans, and untimely approval of feasibility studies. Standard thresholds for monitoring indicators are set by widely soliciting opinions from relevant business experts. Specific indicators and rules are shown in Table 5.

[0075] Table 5 Indicator monitoring rules determined by expert experience method

[0076]

[0077] Based on management regulations: The monitoring indicators of the indicator evaluation standards determined according to the company's management regulations and specific requirements include delayed project plan decomposition progress, untimely settlement, and untimely final accounting.

[0078] Taking the project plan decomposition and execution progress lag indicator as an example, according to the document "Equipment Plan

[2019] No. 25," when issuing plans in batches, within the unit's management limit for project investment, the initial decomposition and execution progress lag should, in principle, not be less than 60% of the unit's total project investment, and should not be less than 90% by the end of June. Therefore, the monitoring rule for the project plan decomposition and execution progress lag indicator is to issue an alarm if the initial decomposition of the annual plan falls below 60% and falls below 90% by the end of June.

[0079] The "Untimely Settlement" indicator refers to the "Project Financial Management Measures" (State Grid Enterprise Management

[2023] No. 28), which stipulates that for 110 kV and below power grid infrastructure projects, production technology transformation projects, small-scale power grid infrastructure, power marketing, power grid digitalization, and other projects, the project settlement preparation and review must be completed and approved within 60 days after completion and commissioning; for 220 kV and above to 750 kV power grid infrastructure projects, the project settlement preparation and review must be completed and approved within 100 days after completion and commissioning. Therefore, the monitoring rules for the "Untimely Settlement" indicator trigger an alarm if the following conditions are met: ① For 110 kV and below power grid infrastructure projects, production technology transformation projects, small-scale power grid infrastructure, power marketing, and power grid digitalization projects, the project settlement time is empty and the difference between the current time and the completion time exceeds a reasonable interval (60 days); ② For 220-750 kV power grid infrastructure projects, the project settlement time is empty and the difference between the current time and the completion time exceeds a reasonable interval (100 days).

[0080] Based on business rules: Considering that some indicators require comparing actual indicator values ​​with standard thresholds to determine their rationality, but standard thresholds cannot be directly obtained, a quantitative model is constructed based on business logic to reasonably determine the corresponding standard thresholds.

[0081] Taking the indicator of untimely submission of material demand as an example, a theoretical demand submission time determination model for 10kV and below distribution network materials (agreement inventory) is constructed (see Figure 4). First, determine the latest time for materials to arrive on site. Since the construction period of 10kV and below distribution network projects is relatively short, generally 2-3 months, the planned start time is used as the latest time for the main materials to arrive on site. Secondly, determine the reasonable supply cycle of materials (from demand submission to material arrival). According to the characteristics of the distribution network project and the time required to purchase materials from the agreed inventory, set 2 months as the upper limit of the theoretical material supply cycle, and set the upper limit of the reasonable material supply cycle of the ERP system as the lower limit of the theoretical material supply cycle, and calculate the lower limit of the material demand submission time. Thirdly, match the bidding batches. Match the State Grid bidding and procurement batches that are most recent and later / earlier than the upper / lower limit time as the upper / lower limit of the theoretical material demand submission time. Finally, determine the standard threshold. Compare with the actual demand submission time to judge the timeliness of the actual demand submission time.

[0082] Using big data mining technology, optimizing the preliminary standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system to obtain the optimized standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system;

[0083] In this embodiment, historical data is collected and analyzed, and big data mining techniques such as statistical analysis and machine learning algorithms are comprehensively adopted based on the data characteristics. A large amount of historical data is analyzed to discover its general rules and trends, and then the indicator threshold determined in the previous step is optimized.

[0084] Specifically, the use of big data mining technology to optimize the preliminary standard threshold of each monitoring indicator in the full business monitoring and analysis indicator system to obtain the optimized standard threshold of each monitoring indicator in the full business monitoring and analysis indicator system also includes:

[0085] For monitoring indicators where sample data is less than the preset value, statistical analysis methods are used to determine the optimized standard threshold;

[0086] Specifically, for small sample data (e.g., sample data <1000), statistical analysis methods are preferred. For example, when calculating the standard deviation of historical indicator data, anomalies are defined as those exceeding the mean ± N times the standard deviation, with the mean ± standard deviation (e.g., "mean + 2σ") used as the anomaly threshold. The percentile method uses the top 10% as the anomaly threshold. The normal distribution quantile method uses the upper limit of the 95% confidence interval as the anomaly threshold.

[0087] For monitoring indicators whose sample data is greater than the preset value, the classification model or K-means clustering analysis method is used to determine its optimized standard threshold.

[0088] Specifically, for large amounts of data (such as sample data >10,000), classification models (such as XGBoost and random forest) are used to train historical data, and risk level thresholds are divided by predicted probability; or data clusters are divided through clustering analysis algorithms such as K-means, and the boundary values ​​of outlier clusters are used as standard thresholds.

[0089] Taking the inaccuracy indicator of material requirements submission as an example, we selected 369 power grid infrastructure projects and calculated the proportion of their reported material requirements to the total project budget. We also analyzed the distribution of this proportion. The statistical results showed that the minimum and maximum values ​​for the reported material requirements to the total budget ranged from 14% to 105%, with a mode of 36% and a median of 59%. After excluding the mean ±3 times the standard deviation, the mean was 61%.

[0090] like Figure 2-3 As shown in the figure, the cumulative distribution of the proportion of material demand submissions to the estimated budget is 31%, 23%, and 34% for projects with a cumulative proportion of material demand submissions to the estimated budget between 20% and 40%, 40% and 60%, and 60% and 90%, respectively. 89% of projects have a cumulative proportion below 90%. Considering that approximately 11% of projects have a cumulative proportion exceeding 90%, the threshold for the material demand submission inaccuracy indicator rule is set at 90%. This means that an alarm is triggered if the material procurement requisition amount > estimated budget * 90%.

[0091] Furthermore, in view of the inaccuracy index of material demand submission, taking into account the differences in the construction costs of different types of projects, the production technical transformation special projects were used as the object to explore the distribution pattern of the proportion of materials and services in different types of projects, and then set the differentiation index threshold. For example, the proportion of materials in 500kV AC transformation (distribution) projects is 90%, and that in 10kV is 79%; for the same voltage level, such as 220kV technical transformation projects, the proportion of materials in AC transformation (distribution) and substation comprehensive transformation projects is 88% and 62% respectively, as shown in Table 6.

[0092] Table 6 Proportion of material and service costs of different types of production technology transformation projects AC power transformation (distribution)

[0093] Voltage level of the modified equipment Proportion of material cost Service cost ratio 500kV 90％ 10％ 220kV 88％ 12％ 110kV 71％ 29％ 35kV 74％ 26％ 10kV 79％ 21％

[0094] AC power transmission

[0095] Station and line voltage levels Proportion of material cost Service cost ratio 500kV 34％ 66％ 220kV 72％ 28％ 110kV 48％ 52％ 35kV 53％ 47％

[0096] Comprehensive automatic transformation of substation

[0097] Station and line voltage levels Proportion of material cost Service cost ratio 220kV 62％ 38％ 110kV 49％ 51％ 35kV 63％ 37％

[0098] AC relay protection

[0099] Voltage level of the modified equipment Proportion of material cost Service cost ratio 500kV 70％ 30％ 220kV 63％ 37％ 110kV 53％ 47％

[0100] Communication Engineering

[0101] Number of optical cable cores Proportion of material cost Service cost ratio 48-core optical cable 3％ 97％

[0102] The optimized standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system is verified and adjusted by an experimental method to obtain the final standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system.

[0103] In this embodiment, the rationality of the standard threshold can be verified through small-scale experiments, simulation operations, or comparison with actual cases. If the standard threshold is found to be unreasonable, such as too loose or too strict, adaptive adjustments need to be made to meet monitoring requirements.

[0104] In this embodiment, based on the determined indicators and indicator rules, a full-service monitoring and analysis indicator system is constructed to carry out a comprehensive evaluation of full-service monitoring, which mainly includes the following three steps: data collection and preprocessing, combining subjective and objective methods to determine indicator weights, and comprehensive monitoring and evaluation of the full service. The details are as follows:

[0105] Step S2: obtaining current basic data of the special project of the comprehensive plan of the power grid enterprise, and calculating the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data;

[0106] Preferably, the obtaining of current basic data of the special project of the comprehensive plan of the power grid enterprise and calculating the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data further includes:

[0107] Acquire current basic data of the special project of the comprehensive plan of the power grid enterprise from different data source end systems, and pre-process the current basic data;

[0108] In this embodiment, data collection: the data source end systems involved in indicator monitoring include the project middle platform planning library, the project middle platform reserve library, the project middle platform plan library, the online power grid, ERP, PMS, e-infrastructure 2.0, the economic and legal system, etc. The basic data collected include project name, project code, planned investment, feasibility study investment, budget estimate, start time, commissioning time, etc. The data source end systems and the basic data information to be collected are specifically shown in Table 7 below.

[0109] Table 7 Sources of basic information on indicators

[0110]

[0111] Specifically, the preprocessing of the current basic data further includes:

[0112] Identify abnormal data in the current basic data using the 3σ principle or interquartile range, and eliminate the abnormal data in the current basic data;

[0113] Using a regression model or a KNN algorithm to predict missing data in the current basic data, and filling in the missing data in the current basic data;

[0114] The current basic data are standardized by Z-score standardization or Min-Max standardization, and the dimensions are unified to eliminate unit differences.

[0115] The current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system is calculated based on the pre-processed current basic data.

[0116] In this embodiment, data preprocessing involves cleaning and standardizing the collected basic data. Outliers are identified using the 3σ principle or the IQR (interquartile range), and data exceeding the threshold is directly removed. Missing values ​​are predicted using a regression model or the KNN algorithm, and missing data are filled. Standardization is performed using Z-score standardization (for normally distributed data) or Min-Max standardization (compressing to the [0, 1] interval) to unify dimensions and eliminate unit differences. This ensures data quality and consistency, laying the foundation for subsequent analysis.

[0117] Step S3: Compare the current actual value of each monitoring indicator in the full-business monitoring and analysis indicator system with its standard threshold value, and calculate the comprehensive score of the power grid enterprise comprehensive plan special project based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system, so as to monitor and control the full business of the power grid enterprise comprehensive plan special project.

[0118] It should be noted that the weight of each monitoring indicator is determined by combining subjective and objective methods: combining business objectives and data characteristics, the hierarchical analysis method and the entropy weight method are selected to combine the subjective and objective weights, and the subjective weights and objective weights are integrated in proportion (usually 0.5 and 0.5 are taken based on experience) to determine the indicator weight.

[0119] Preferably, the step of calculating a comprehensive score of the special project of the comprehensive plan of the power grid enterprise based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system to monitor and control the full business of the special project of the comprehensive plan of the power grid enterprise further includes:

[0120] Establish a regular calibration and real-time feedback mechanism to optimize the comprehensive scoring rules of the special projects of the comprehensive plan of the power grid enterprise according to data changes or business adjustments.

[0121] It should be noted that the composite score is calculated using linear weighting or nonlinear transformations (such as piecewise functions) based on the comparison results and weights of each monitoring indicator. Scoring intervals must be tailored to the business scenario, such as excellent, good, and warning levels. Dynamic divisions can be achieved using threshold rules (such as regulatory standards) or clustering algorithms (such as K-means). Regular calibration and real-time feedback mechanisms should also be established to optimize scoring rules based on data changes or business adjustments to ensure the continued effectiveness of the model.

[0122] The present invention takes project management business as the core, project management data as the basis, and relies on the intelligent management means of the project middle platform to coordinate, supervise the entire process and cover all factors of company planning, project reserves, comprehensive planning and project execution. It can be widely used in the field of comprehensive planning management technology of power grids.

[0123] Example 2

[0124] This embodiment further introduces the full-business monitoring and control method for special projects of comprehensive plans of power grid enterprises proposed by the present invention through specific cases.

[0125] Based on the monitoring indicators and indicator rules for key monitoring points throughout the entire project process, including project planning, reserve, planning and budgeting, project implementation, and project operation, a comprehensive, full-scope, and comprehensive monitoring and analysis indicator system has been established for four comprehensive plan projects: power grid infrastructure, production technology upgrades, piecemeal procurement, and power grid digitalization. This system includes 65 monitoring indicators. Based on this indicator system, basic data is collected, and monitoring and analysis of comprehensive plan management projects is carried out based on the established indicator standard thresholds.

[0126] Taking the production technical transformation project as an example, a company has 44,021 planned projects issued in 2023-2024, and calculated the warning situations of 13 indicators in the company as a whole and each unit, including the deviation between the preliminary estimate and the feasibility study estimate, the untimely submission of material requirements, the inaccurate submission of material requirements, the deviation rate of material contracts, the lack of progress in project construction, and the overdue project construction.

[0127] like Figure 5 The following table shows the alarm status of various monitoring indicators. From a company-wide perspective, among the 13 monitoring indicators for the production technology transformation project, the alarm rates for four indicators, namely, inaccurate material demand reporting, no construction progress, mismatch between capital expenditure progress and cost accounting progress, and untimely production start-up, all exceeded 10%.

[0128] like Figures 6A-6DThe following table shows the alarm status of each unit. By unit, the alarm rate for the inaccurate material demand submission indicator monitored by 13 units, including Unit 1 and Unit 25, exceeded the company average by 12%. The alarm rate for the no construction progress indicator monitored by 12 units, including Unit 13 and Unit 11, exceeded the company average by 12.7%. The alarm rate for the mismatch between capital expenditure progress and cost accounting progress monitored by 8 units, including Unit 7 and Unit 12, exceeded the company average by 19%. The alarm rate for the untimely start of production indicator monitored by 6 units, including Unit 7 and Unit 26, exceeded the company average by 13%.

[0129] Example 3

[0130] The above-mentioned embodiment 1 provides a method for monitoring and controlling the entire business of a special project of a comprehensive plan of a power grid enterprise. Correspondingly, this embodiment provides a system for monitoring and controlling the entire business of a special project of a comprehensive plan of a power grid enterprise. The system provided by this embodiment can implement the method for monitoring and controlling the entire business of a special project of a comprehensive plan of a power grid enterprise of embodiment 1. The system can be implemented by software, hardware, or a combination of software and hardware. For example, the system may include integrated or separate functional modules or functional units to execute the corresponding steps in each method of embodiment 1. Since the system of this embodiment is basically similar to the method embodiment, the process described in this embodiment is relatively simple. For relevant matters, please refer to the partial description of embodiment 1. The embodiment of the system provided in this embodiment is merely illustrative.

[0131] The full-service monitoring and control system for special projects of comprehensive plans of power grid enterprises provided in this embodiment includes:

[0132] A determination module is used to construct a full-service monitoring and analysis indicator system for a special project of a comprehensive plan of a power grid enterprise, and to determine the standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system using a preset method;

[0133] A calculation module, configured to obtain current basic data of a special project of a comprehensive plan of a power grid enterprise, and calculate the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data;

[0134] The management and control module is used to compare the current actual value of each monitoring indicator in the full-business monitoring and analysis indicator system with its standard threshold value, and calculate the comprehensive score of the special project of the comprehensive plan of the power grid enterprise based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system, so as to monitor and control the full business of the special project of the comprehensive plan of the power grid enterprise.

[0135] Example 4

[0136] This embodiment provides a processing device corresponding to the full-business monitoring and control method for special projects of comprehensive plans of power grid enterprises provided in this embodiment 1. The processing device can be a processing device for a client, such as a mobile phone, a laptop computer, a tablet computer, a desktop computer, etc., to execute the method of embodiment 1.

[0137] The processing device includes a processor, a memory, a communication interface, and a bus. The processor, memory, and communication interface are connected via the bus to facilitate communication between them. The memory stores a computer program executable on the processor. When the processor executes the computer program, it executes the method for monitoring and controlling the full business of a special project in a comprehensive plan for a power grid enterprise provided in Example 1.

[0138] Preferably, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0139] Preferably, the processor may be a central processing unit (CPU), a digital signal processor (DSP), or other general-purpose processors of various types, which are not limited here.

[0140] Example 5

[0141] The method for monitoring and controlling the entire business of a special project of a comprehensive plan of a power grid enterprise in this embodiment 1 can be specifically implemented as a computer program product. The computer program product may include a computer-readable storage medium on which computer-readable program instructions are loaded for executing the method for monitoring and controlling the entire business of a special project of a comprehensive plan of a power grid enterprise described in this embodiment 1.

[0142] Computer readable storage media can be tangible devices that hold and store instructions used by instruction execution devices. Computer readable storage media can be, for example, but not limited to, electronic storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any combination thereof.

[0143] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, 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 magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0144] The present invention is described with reference to flowcharts and / or block diagrams of methods, 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 flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, 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 flowcharts and / or block diagrams. 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.

[0145] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work 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 The function specified in one or more boxes.

[0146] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0147] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment, it is not intended to limit the present invention. Any technician familiar with the present profession can make slight changes or modifications to equivalent embodiments using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise, characterized in that: The following steps are involved: Step S1: constructing a full-service monitoring and analysis indicator system for a special project of a comprehensive plan of a power grid enterprise, and using a preset method to determine a standard threshold value for each monitoring indicator in the full-service monitoring and analysis indicator system; Step S2: obtaining current basic data of the special project of the comprehensive plan of the power grid enterprise, and calculating the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data; Step S3: Compare the current actual value of each monitoring indicator in the full-business monitoring and analysis indicator system with its standard threshold value, and calculate the comprehensive score of the power grid enterprise comprehensive plan special project based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system, so as to monitor and control the full business of the power grid enterprise comprehensive plan special project.

2. The method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise according to claim 1 is characterized in that: The full-service monitoring and analysis indicator system for the comprehensive plan special project of the power grid enterprise mentioned above also includes: Taking the entire business process of the power grid enterprise comprehensive plan special project as the main line, the power grid enterprise comprehensive plan special project is divided into four major links: planning, reserve, planning and budgeting, and project implementation; Risk analysis is conducted for the entire process of each special project, and business monitoring is carried out based on four dimensions: project compliance, timeliness of milestone execution, value rationality, and investment effectiveness, in order to build a full-business monitoring and analysis indicator system for the special projects of the comprehensive plan of the power grid enterprise.

3. The method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise according to claim 1, characterized in that: The method of using a preset method to determine the standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system also includes: Determine preliminary standard thresholds for each monitoring indicator in the full business monitoring and analysis indicator system based on business experience, company management regulations and business rules; Using big data mining technology, optimizing the preliminary standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system to obtain the optimized standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system; The optimized standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system is verified and adjusted by an experimental method to obtain the final standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system.

4. The method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise according to claim 3 is characterized in that: The use of big data mining technology to optimize the preliminary standard threshold of each monitoring indicator in the full business monitoring and analysis indicator system to obtain the optimized standard threshold of each monitoring indicator in the full business monitoring and analysis indicator system also includes: For monitoring indicators where sample data is less than the preset value, statistical analysis methods are used to determine the optimized standard threshold; For monitoring indicators whose sample data is greater than the preset value, the classification model or K-means clustering analysis method is used to determine its optimized standard threshold.

5. The method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise according to claim 1 is characterized in that: The obtaining of current basic data of the special project of the comprehensive plan of the power grid enterprise and calculating the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data also includes: Acquire current basic data of the special project of the comprehensive plan of the power grid enterprise from different data source end systems, and pre-process the current basic data; The current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system is calculated based on the pre-processed current basic data.

6. The method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise according to claim 5 is characterized in that: The preprocessing of the current basic data further includes: Identify abnormal data in the current basic data using the 3σ principle or interquartile range, and eliminate the abnormal data in the current basic data; Using a regression model or a KNN algorithm to predict missing data in the current basic data, and filling in the missing data in the current basic data; The current basic data are standardized by Z-score standardization or Min-Max standardization, and the dimensions are unified to eliminate unit differences.

7. The method for monitoring and controlling all business of a special project of a comprehensive plan of a power grid enterprise according to claim 1, characterized in that: The comprehensive score of the special project of the comprehensive plan of the power grid enterprise is calculated based on the comparison results and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system to monitor and control the full business of the special project of the comprehensive plan of the power grid enterprise, and further includes: Establish a regular calibration and real-time feedback mechanism to optimize the comprehensive scoring rules of the special projects of the comprehensive plan of the power grid enterprise according to data changes or business adjustments.

8. A system for monitoring and controlling the entire business of a special project in a comprehensive plan of a power grid enterprise, for implementing the method for monitoring and controlling the entire business of a special project in a comprehensive plan of a power grid enterprise as claimed in any one of claims 1 to 7, characterized in that: The full-service monitoring and control system for special projects of comprehensive plans of power grid enterprises includes: A determination module is used to construct a full-service monitoring and analysis indicator system for a special project of a comprehensive plan of a power grid enterprise, and to determine the standard threshold value of each monitoring indicator in the full-service monitoring and analysis indicator system using a preset method; A calculation module, configured to obtain current basic data of a special project of a comprehensive plan of a power grid enterprise, and calculate the current actual value of each monitoring indicator in the full-service monitoring and analysis indicator system based on the current basic data; The management and control module is used to compare the current actual value of each monitoring indicator in the full-business monitoring and analysis indicator system with its standard threshold value, and calculate the comprehensive score of the special project of the comprehensive plan of the power grid enterprise based on the comparison result and the weight of each monitoring indicator in the full-business monitoring and analysis indicator system, so as to monitor and control the full business of the special project of the comprehensive plan of the power grid enterprise.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any one of the methods of claims 1 to 7 .

10. A computing device, characterized in that include: One or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, wherein the one or more programs include instructions for executing any one of the methods according to claims 1 to 7.

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