Hydraulic power plant intelligent level evaluation method based on maturity model

Abstract

The invention provides a hydraulic power plant intelligent level evaluation method based on a maturity model, relates to the technical field of hydraulic power plant intelligence, and is suitable for intelligent level evaluation of a newly-built intelligent hydraulic power plant and an existing hydraulic power plant upgrading and reconstruction project. The method includes the steps of water and electricity intelligent development stage division of an intelligent hydraulic power plant evaluation system, intelligent maturity model construction, maturity scoring standard establishment, intelligent level evaluation process implementation and the like, and the method constructs an intelligent level maturity hierarchical model covering the field of hydraulic power plant production and management business. A hydropower intelligent development level evaluation index system and a weight scoring method are provided, staged evaluation and guidance of hydraulic power plant intelligent development and construction are realized, and accurate, comprehensive, objective and scientific evaluation of hydraulic power plant intelligent construction is realized. A whole set of, full-period, multi-dimensional and staged intelligent development thought is provided for intelligent reconstruction and construction of a newly-built intelligent hydraulic power plant and a built power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower plant intelligence, and particularly relates to a method for evaluating the intelligence level of hydropower plants based on a maturity model. Background Art

[0002] Different from the intelligent construction of other industries, the intelligence of hydropower plants has typical complex characteristics, specifically manifested as involving many departments, many systems, a wide range of specialties, miscellaneous technologies, a wide field, and strong professional natures, making it difficult to unify the intelligent construction standards of hydropower plants, with uneven levels, and there are significant differences in the intelligence levels of each system and part of the hydropower plant. Therefore, formulating a hydropower intelligence evaluation mechanism, constructing a maturity model for the hydropower intelligence level, and promoting the hydropower intelligence evaluation standard have gradually become an important part of intelligent hydropower construction. At present, the coal industry and smart cities have studied, established, and successfully practiced an evaluation index system reflecting the intelligent level, but there is no ready-made single quantitative index in the hydropower industry to measure the intelligence level of hydropower plants, because whether a hydropower plant reaches the intelligent level is the result of a comprehensive evaluation from multiple aspects, perspectives, dimensions, and specialties.

[0003] Currently, in the national standard "Technical Guidelines for Intelligent Hydropower Plants" (GB / T 40222-2021), the technical characteristics and ability requirements for the initial, intermediate, and advanced levels of intelligent hydropower plants are clarified, but the hydropower intelligence evaluation indicators have not been refined and quantified, and cannot directly and specifically guide the intelligent construction of each specialty, system, business, and department of hydropower plants. The current evaluation of hydropower plant intelligence is usually too macroscopic, not suitable for the characteristics of the long life cycle, multi-business scenarios, and cross-professional fields of hydropower plant construction, and tends to be a post-project evaluation, with poor guidance.

[0004] Therefore, there is an urgent need to propose a method for evaluating the intelligence level of hydropower plants for the construction of intelligent hydropower plants, which is applicable to the evaluation of the intelligence level of newly built intelligent hydropower plants and the upgrading and transformation projects of existing hydropower plants, to solve the problems of non-quantification, non-uniform standards, imperfect systems, and insufficient guidance of the current intelligent hydropower plant intelligence level evaluation indicators, so as to standardize and guide the phased and orderly progress of hydropower intelligence construction work, achieve accurate, comprehensive, objective, and scientific evaluation of hydropower plant intelligence construction, and strongly promote the intelligent development of the hydropower industry. Summary of the Invention

[0005] Aiming at the defects of the existing technologies, the purpose of the present invention is to propose an evaluation method for the intelligent level of hydropower plants based on a maturity model. This method is applicable to the evaluation of the intelligent level of newly built intelligent hydropower plants and the upgrading and transformation projects of existing hydropower plants, including the division of the hydropower intelligent development stages of the intelligent hydropower plant evaluation system, the construction of the intelligent maturity model, the establishment of the maturity scoring criteria, the implementation of the intelligent level evaluation process, etc. This method constructs a hierarchical model of the intelligent level maturity covering the production and management business fields of hydropower plants, proposes an evaluation index system and a weight scoring method for the hydropower intelligent development level, realizes the phased evaluation and guidance of the intelligent development construction of hydropower plants, and realizes the accurate, comprehensive, objective and scientific evaluation of the intelligent construction of hydropower plants, providing a set of, full-cycle, multi-dimensional and phased intelligent development ideas for the construction of newly built intelligent hydropower plants and the intelligent transformation of existing power plants, and having important guiding significance for the field of evaluating the intelligent level of hydropower plants.

[0006] In order to achieve the above technical features, the purpose of the present invention is realized as follows: An evaluation method for the intelligent level of hydropower plants based on a maturity model, including:

[0007] Division of hydropower intelligent development stages: Qualitatively divide the intelligent development stages of hydropower plants from a macroscopic perspective, define the intelligent hydropower development stages from the two business levels of production and management. The division of the intelligent hydropower development stages includes the overall characteristics, stage characteristics and typical characteristics of each stage of the intelligent development of hydropower plants;

[0008] Construction of the intelligent maturity model: On the premise of the division of the hydropower intelligent development stages, construct an intelligent maturity evaluation model for hydropower plants, and divide the ability elements, ability domains, ability sub-domains and their weights for each production and management business of hydropower plants. Among them, the ability elements are composed of ability domains, and the ability domains are composed of ability sub-domains. Conduct multi-dimensional evaluations on each ability sub-domain, and construct a multi-dimensional five-level evaluation standard for the intelligent maturity of each ability sub-domain;

[0009] Establishment of the maturity scoring criteria: By comparing the actual research status of the ability sub-domains of the hydropower plant intelligent maturity model with the maturity requirements of the five-level evaluation criteria, score each requirement of the evaluation domain according to the degree of satisfaction, and realize the quantitative analysis of the satisfaction degree scores of the maturity requirements of each evaluation dimension of the ability sub-domains, so as to obtain the calculation methods for the maturity level scores of the ability domains, ability elements and finally the hydropower plants;

[0010] Implementation of the intelligent level evaluation process: The specific application realization of the evaluation method for the intelligent level of hydropower plants based on the maturity model, realizing the landing application of intelligent evaluation, improvement suggestions for intelligent construction, and the correction and improvement of the maturity model.

[0011] Preferably, the division of the hydropower intelligent development stages specifically includes the following steps:

[0012] Step 1.1: Divide the development stages of intelligent hydropower from two business levels covering the production and management of hydropower plants; construct a five-level evaluation system for the maturity of hydropower plant intelligence, including:

[0013] Level 1: Paper-based / Manual; Level 2: Electronic / Automated; Level 3: Informatization / Networked; Level 4: Digital; and Level 5: Intelligent;

[0014] Step 1.2: According to the intelligent hydropower development stage division criteria in Step 1.1, propose the overall characteristics of each stage in the five-level evaluation system for intelligent hydropower development, including:

[0015] ① Manual / Paper-based stage: The basis of management methods and production operations, and dependent on paper records and manual operations;

[0016] ② Automated / Electronic stage: The management process changes from paper records to electronic records and storage; through mechanical equipment, automated equipment and control system means, the automation of repetitive tasks in the production process is realized;

[0017] ③ Networked / Informatized stage: The process of digital processing, storage, transmission and application of various information through computer technology and information technology means; using mobile devices and mobile Internet technology to improve the operation efficiency and management level of hydropower plants;

[0018] ④ Digital stage: The process of converting things, processes and concepts in the real world into digital signals that can be processed by computers;

[0019] ⑤ Intelligent stage: Through artificial intelligence technology means, enable machines to have human-like perception, cognition, learning and decision-making abilities;

[0020] Step 1.3: According to the overall characteristics of the intelligent hydropower development stages in Step 1.2, propose the stage characteristics of each stage in the five-level evaluation system for intelligent hydropower development, including:

[0021] ① Manual / Paper-based stage: Data is manually recorded and stored on paper, with low information retrieval efficiency; equipment operation is completed manually and manually inspected; decision execution depends on manual experience; maintenance plan and execution depend on manual compilation and tracking;

[0022] ② Automated / Electronic stage: Electronic management process and automated production process;

[0023] ③ Networked / Informatized stage: Realize the integration, sharing, mobile Internet and effective utilization of information resources, including enterprise resource planning, customer relationship management and supply chain management;

[0024] ④Digitalization stage: Help hydropower plants achieve visualization, controllability, and optimization of the production process;

[0025] ⑤Intelligentization stage: Help hydropower plants achieve functions of automated decision-making, autonomous control, and intelligent perception;

[0026] Step 1.4: According to the overall characteristics of the intelligent hydropower development stage in Step 1.2, propose the typical characteristics of each stage in the five-level evaluation system for intelligent hydropower development, including:

[0027] ①Manual / paper-based stage: In terms of production, the main characteristics are manual operation, experience-based decision-making, and lagging maintenance; at the management level, the main characteristics are paper-based data and paper-based storage;

[0028] ②Automation / electronic stage: In terms of production, the main characteristics are remote monitoring and automatic regulation; at the management level, the main characteristics are institutionalized processes and electronic elements;

[0029] ③Networked / information-based stage: In terms of production, the main characteristics are mobile interconnection of equipment and remote integrated monitoring; at the management level, the main characteristics are full information coverage and information-based control. In this stage, the information application system covers all business operations of the hydropower plant and can analyze and utilize information to a certain extent;

[0030] ④Digitalization stage: Based on comprehensive informatization, comprehensively perceive the real-time dynamics of hydropower plants, employees, and operations through digital means, realize the fusion analysis of data, drive the production and management of hydropower plants with data, achieve optimized operation and predictive maintenance functions, and through preset models, can automatically execute some operations and assist manual decision-making;

[0031] ⑤Intelligentization stage: Based on digitalization, can independently use data for decision-making judgment, and conduct independent analysis and learning on the decision-making results, continuously optimize and adjust the decision-making judgment mechanism, and achieve "self-perception, self-learning, self-adaptation, self-decision-making, self-execution".

[0032] Preferably, in Step 1.1, the intelligent hydropower plant is specifically divided into manual, automated, and networked stages in terms of production, and correspondingly divided into paper-based, electronic, and information-based stages in terms of management. After the production and management operations break through network isolation and information silos and achieve integrated control and data fusion, they gradually enter the digital and intelligent stages.

[0033] Preferably, the construction of the intelligent maturity model specifically includes the following steps:

[0034] Step 2.1, divide the ability elements, ability domains, and ability sub-domains; among them, the intelligent hydropower maturity model consists of ability elements, ability domains, ability sub-domains, and their respective weights. Ability elements are composed of ability domains, and ability domains are composed of ability sub-domains;

[0035] Step 2.2, after the ability elements, ability domains, and ability sub-domains of the intelligent hydropower plant maturity evaluation model are divided according to Step 2.1, comprehensively evaluate the impact of each ability on intelligent hydropower, determine the weight values of each ability element, ability domain, and ability sub-domain, and dynamically adjust the weight values of the ability elements, ability domains, and ability sub-domains according to the differences in the business types and intelligent construction directions of each hydropower plant;

[0036] Step 2.3, after the weight values are assigned to each ability element, ability domain, and ability sub-domain of the intelligent hydropower plant maturity evaluation model according to Step 2.2, construct a five-level maturity evaluation standard for each ability sub-domain.

[0037] Preferably, in Step 2.1, the ability elements, ability domains, and ability sub-domains cover all aspects of the production and management of intelligent hydropower plants, including the intelligent level of equipment, the degree of system automation, data management and analysis capabilities, and operation and maintenance intelligent capabilities.

[0038] Preferably, the intelligent hydropower ability elements include 3 sectors: production, management, and infrastructure. Among them, the production ability elements are divided into 5 ability domains: operation, maintenance, assets, technology, and safety. The management ability elements are divided into 5 ability domains: organizational strategy, human resources, scientific and technological innovation, standardization, and comprehensive. The infrastructure ability elements are divided into 2 ability domains: resources and technology. According to the differences in the business types and intelligent construction directions of each hydropower plant, the division of ability elements, ability domains, and ability sub-domains is dynamically adjusted.

[0039] Preferably, the establishment of the maturity scoring standard specifically includes the following steps:

[0040] Step 3.1, calculate the satisfaction score X of the maturity requirements of each evaluation dimension of the ability sub-domain at a certain maturity level, compare the current situation evidence of the actually investigated hydropower plant with the maturity requirements, and score each requirement of the evaluation domain according to the satisfaction degree; among them, the corresponding relationship between the maturity requirement satisfaction degree and the score X is: not satisfied, X takes 0 points; partially satisfied, X takes 0 - 0.5 points; mostly satisfied, X takes 0.5 - 0.8 points; basically satisfied, X takes 0.8 - 1 point;

[0041] Step 3.2, calculate the score D of the ability sub-domain at a certain maturity level. This score is the arithmetic mean of the scores of each requirement of the ability sub-domain. The score D of the ability sub-domain is calculated according to Equation (1), where D is the score of the ability sub-domain; X is the requirement score of the ability sub-domain; n is the number of requirements of the ability sub-domain;

[0042]

[0043] Step 3.3: Calculate the score C of the capability domain at a certain maturity level. This score is the weighted sum of the scores of the sub - capability domains under this capability domain. The capability domain score C is calculated according to Equation (2), where C is the capability domain score; γ is the weight of the sub - capability domain;

[0044]

[0045] Step 3.4: Calculate the score B of the capability element at a certain maturity level. This score is the weighted sum of the scores of the capability domains under this capability element. The capability element score B is calculated according to Equation (3), where B is the capability element score; β is the weight of the capability domain;

[0046]

[0047] Step 3.5: Calculate the score A of the hydropower plant at this maturity level. This score is the weighted sum of the scores of the capability elements at this maturity level. The maturity level score A is calculated according to Equation (4), where A is the maturity level score; α is the weight of the capability element;

[0048]

[0049] Step 3.6: Maturity level determination: After calculating the score A of the hydropower plant at each maturity level i i When the maturity score A at a certain level i exceeds the lowest score of the score range, it is considered to meet the requirements of this level. Otherwise, it is considered not to meet the requirements. When calculating the overall score, the maturity score A of the level that has been met i takes the value of 1, and the maturity score A of the level that does not meet the requirements i takes the actual score of this level. The total score S of the intelligent hydropower capability maturity is calculated according to Equation (5), which is the cumulative sum of the scoring results of each level;

[0050]

[0051] Preferably, in the said Step 3.6, the corresponding relationship between the maturity level of the hydropower plant and the total score S of the intelligent hydropower capability maturity is as follows: when 0.8 ≤ S < 1.8, the hydropower plant is at Level 1: Paper - based / Manual; when 1.8 ≤ S < 2.8, the hydropower plant is at Level 2: Electronic / Automated; when 2.8 ≤ S < 3.8, the hydropower plant is at Level 3: Informatization / Networking; when 3.8 ≤ S < 4.8, the hydropower plant is at Level 4: Digital; when 4.8 ≤ S ≤ 5, the hydropower plant is at Level 5: Intelligent.

[0052] Preferably, the implementation of the intelligent level assessment process specifically includes the following steps:

[0053] Step 4.1, Preliminary assessment of the intelligent level of the hydropower plant: The preliminary assessment needs to clarify the assessment scope and baseline. The main contents include forming an assessment team, preparing assessment materials, conducting preliminary research and assessment, defining the dimensions of the assessment scope, etc.

[0054] Step 4.2, Formal assessment of the intelligent level of the hydropower plant: The formal assessment needs to quantitatively analyze the intelligent level based on the maturity model. The main contents include collecting assessment evidence, conducting in-depth research covering the whole plant, scoring item by item according to the maturity scoring standard, determining the maturity level, and forming assessment findings and an assessment report;

[0055] Step 4.3, Releasing the assessment results of the intelligent level of the hydropower plant: The release of the assessment results includes releasing the assessment results of the current intelligent level status of the hydropower plant; forming visual charts and reports for displaying the maturity of each dimension; identifying key gaps by comparing with industry benchmarks or target levels; marking the areas that need to be urgently improved and proposing the priority ranking of intelligent construction;

[0056] Step 4.4, Proposing the direction of intelligent improvement and construction for the hydropower plant: Based on the assessment results of the intelligent level in Step 4.3, propose the direction of intelligent improvement for the hydropower plant, formulate corresponding measures, and carry out activities to enhance intelligent capabilities; the direction of intelligent improvement and construction should include short-term optimization, medium-term construction, and long-term planning, and formulate an intelligent construction roadmap and resource allocation;

[0057] Step 4.5, Revising and improving the maturity model: According to the research and assessment results, the business development of the hydropower plant, and the development of industry intelligent technologies, dynamically and continuously update, revise, and improve the maturity model. Through systematic assessment, feedback, and iterative optimization, form a closed-loop management of the intelligent evaluation work of the hydropower plant of "assessment - improvement - re-assessment".

[0058] Preferably, the closed-loop management method for the intelligent evaluation work of the hydropower plant in Step 4.5 includes: index update, weight reallocation, scoring standard iteration, and standard dynamic expansion;

[0059] Specifically manifested as:

[0060] ① Index update: According to the dynamic development of industry technologies, adopt the expert research method to screen key new indicators and update the indicators of the maturity evaluation model;

[0061] ② Weight reallocation: Calculate the actual data distribution based on the entropy weight method, and adjust it in combination with the Analytic Hierarchy Process (AHP). If it is found that the actual contribution degree of the ability sub-domain does not meet the expectation, then re-adjust the weight distribution ratio;

[0062] ③ Scoring standard iteration: According to the change of industry technology maturity, re-define the evaluation threshold index system of the five-level maturity evaluation system;

[0063] ④ Standard dynamic expansion: Design a modular index system and allow regional custom expansion modules.

[0064] The present invention has the following beneficial effects:

[0065] 1. The present invention realizes an intelligent level evaluation method for hydropower plants based on a maturity model. This method is applicable to the evaluation and guidance of the intelligent levels of newly built intelligent hydropower plants and the upgrading and transformation projects of existing hydropower plants, making the evaluation of the intelligent construction level of hydropower plants more accurate, comprehensive, objective, and scientific.

[0066] 2. The present invention realizes the division of the intelligent development stages of hydropower plants, and puts forward the overall characteristics, stage characteristics, typical characteristics, etc. of each stage of the intelligent development of hydropower plants, qualitatively guiding the intelligent evaluation and construction of each production and management business link of hydropower plants from a macro perspective.

[0067] 3. The present invention realizes the construction of an intelligent maturity model evaluation standard system for hydropower plants, creates an intelligent maturity model for each production and management business link of hydropower plants, and conducts quantitative calculation and evaluation.

[0068] 4. The present invention realizes the closed-loop implementation of the intelligent level evaluation process and model correction of hydropower plants. Through the implementation of the intelligent level evaluation process of hydropower plants, the intelligent evaluation maturity model and standards are continuously corrected and improved, forming a closed-loop feedback regulation of the intelligent evaluation implementation and the model standard system. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] The present invention will be further described below in conjunction with the drawings and embodiments.

[0070] Figure 1 It is a full-process schematic diagram of an intelligent level evaluation method for hydropower plants based on a maturity model of the present invention.

[0071] Figure 2 It is a schematic diagram of the division of the intelligent hydropower development stages of the present invention.

[0072] Figure 3 It is a schematic diagram of the intelligent hydropower maturity model evaluation system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0073] The embodiments of the present invention will be further described below in conjunction with the drawings.

[0074] Example 1:

[0075] In order to make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0076] Referring to Figure 1 , the present invention proposes an evaluation method for the intelligent level of hydropower plants based on a maturity model. This method constructs a hierarchical maturity model for the intelligent level covering the production and management business fields of hydropower plants, proposes an evaluation index system and a weight scoring method for the development level of hydropower intelligence, and realizes the accurate, comprehensive, objective, and scientific evaluation of the intelligent construction of hydropower plants. This method includes four stages: the division of the development stage of hydropower intelligence, the construction of the intelligent maturity model, the establishment of the maturity scoring standard, and the implementation of the intelligent level evaluation process.

[0077] Furthermore, in the stage of dividing the development stage of hydropower intelligence, the development stage of hydropower plant intelligence is qualitatively divided from a macro perspective, and the development stage of intelligent hydropower is defined from two business levels of production and management. The division of the development stage of intelligence includes the overall characteristics, stage characteristics, typical characteristics, etc. of each stage of the development of hydropower plant intelligence. The division of the development stage of hydropower intelligence conducts a hierarchical evaluation of the intelligent level of intelligent hydropower from a macro perspective, and as a guiding ideology, it is the basic premise for the subsequent intelligent evaluation of each production and management business.

[0078] Furthermore, in the stage of constructing the intelligent maturity model, based on the guiding ideology of the division of the development stage of hydropower intelligence, the ability elements, ability domains, ability sub-domains and their weights of each production and management business of the hydropower plant are divided. Among them, the ability elements are composed of ability domains, and the ability domains are composed of ability sub-domains. The stage of constructing the intelligent maturity model conducts multi-dimensional evaluations of each ability sub-domain and proposes evaluation criteria for each dimension at different stages of the development of intelligence. The stage of constructing the intelligent maturity model is the core link of the intelligent level evaluation of hydropower plants.

[0079] Furthermore, the stage of establishing the maturity scoring standard is an important stage for quantifying the intelligent maturity model. Through the quantitative analysis of the scores of the satisfaction degree of the maturity requirements of the evaluation dimensions of the ability sub-domains, the calculation methods for the ability domains, ability elements, and finally the maturity level scores are obtained, and the quantitative evaluation of the intelligent level of the hydropower plant is realized according to the maturity level scores of the hydropower plant. The stage of establishing the maturity scoring standard is an important content for realizing the accurate, comprehensive, objective, and scientific quantitative evaluation of the intelligent level of hydropower plants.

[0080] Furthermore, the implementation stage of the intelligent level assessment process is the specific application implementation of the intelligent level evaluation method for hydropower plants based on the maturity model. The assessment process includes steps such as pre-assessment, formal assessment, releasing assessment results, proposing improvement directions, and improving the maturity model. The implementation stage of the intelligent level assessment process is not only the specific application implementation of the intelligent evaluation method for hydropower plants, but also the actual source of the specific scheme for the intelligent improvement of hydropower plants. At the same time, it is also necessary to continuously revise and improve the intelligent assessment maturity model and standards based on the implementation results of the assessment process.

[0081] Embodiment 2:

[0082] Figure 1 The full process of an intelligent level evaluation method for hydropower plants based on the maturity model proposed by the present invention is shown. By constructing an intelligent maturity model evaluation standard system for hydropower plants, quantitative evaluation of the intelligent levels of various production and management business links of hydropower plants is realized, including four stages: division of the intelligent development stage of hydropower, construction of the intelligent maturity model, establishment of the maturity scoring standard, and implementation of the intelligent level assessment process.

[0083] Furthermore, in the stage of dividing the intelligent development stage of hydropower, the stage division, overall characteristics, stage characteristics, typical characteristics, etc. of the development of intelligent hydropower are put forward from a macroscopic perspective. As the guiding ideology, it is the basic premise for the intelligent evaluation of subsequent various production and management operations, including the steps:

[0084] Step 1.1: Divide the intelligent development stage of hydropower from two business levels covering production and management of hydropower plants. Construct a five-level evaluation system for the intelligent maturity of hydropower plants, including level 1 (paper-based / manual), level 2 (electronic / automated), level 3 (information-based / networked), level 4 (digital), and level 5 (intelligent), as Figure 2 shown.

[0085] In terms of production, intelligent hydropower plants can be divided into manual, automated, and networked stages. Correspondingly, in terms of management, they can be divided into paper-based, electronic, and information-based stages. After the production and management operations break through network isolation and information islands and achieve integrated control and data fusion, they can gradually move towards the digital and intelligent stages.

[0086] Step 1.2: According to the intelligent hydropower development stage division standard in Step 1.1, put forward the overall characteristics of each stage in the five-level evaluation system for the development of intelligent hydropower, including:

[0087] ① Manual / paper-based stage: The management method and production operation are very basic and rely on paper records and manual operations.

[0088] ②Automation / Electronic Phase: The management process is transformed from paper records to electronic records and storage; certain repetitive tasks in the production process are automated through means such as mechanical equipment, automation equipment, and control systems.

[0089] ③Networking / Informatization Phase: The process of digitally processing, storing, transmitting, and applying various information through computer technology and information technology means; using mobile devices and mobile Internet technology to improve the operation efficiency and management level of hydropower plants.

[0090] ④Digital Phase: The process of transforming things, processes, and concepts in the real world into digital signals that can be processed by computers. Digitalization is an important part of informatization, but it emphasizes more the process of virtualizing, modeling, and networking the physical world.

[0091] ⑤Intelligent Phase: Through artificial intelligence (AI) technology means, machines are equipped with capabilities similar to human perception, cognition, learning, and decision-making.

[0092] Step 1.3: According to the overall characteristics of the intelligent hydropower development stages in Step 1.2, propose the stage characteristics of each stage in the five-level evaluation system for intelligent hydropower development, including:

[0093] ①Manual / Paper Phase: Data is manually recorded and stored on paper, with low information retrieval efficiency; equipment operation is completed manually and manually inspected; decision execution depends on manual experience; maintenance plan and execution depend on manual compilation and tracking, with little preventive maintenance and mostly after-the-fact repairs.

[0094] ②Automation / Electronic Phase: Through the electronicization of management processes and the automation of production processes, hydropower plants can greatly improve production and management efficiency, reduce paper records, manual operations, and human errors, thereby reducing costs and improving product quality.

[0095] ③Networking / Informatization Phase: Achieve the integration, sharing, mobile interconnection, and effective utilization of information resources, improve the decision-making efficiency and response speed of hydropower plants, including multiple aspects such as enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM).

[0096] ④Digital Phase: Help hydropower plants achieve visualization, controllability, and optimization of the production process, and improve production efficiency and product quality.

[0097] ⑤Intelligent Phase: Help hydropower plants achieve functions such as automated decision-making, autonomous control, and intelligent perception, and further improve production efficiency and product quality.

[0098] Step 1.4: According to the overall characteristics of the intelligent hydropower development stage in Step 1.2, extract the typical characteristics of each stage in the five-level evaluation system for intelligent hydropower development, including:

[0099] ① Manual / paper-based stage: In terms of production, the main characteristics are manual operation, experience-based decision-making, and lagged maintenance; at the management level, the main characteristics are paper-based data and paper-based storage.

[0100] ② Automated / electronic stage: In terms of production, the main characteristics are remote monitoring and automatic adjustment; at the management level, the main characteristics are institutionalized processes and electronic elements.

[0101] ③ Networked / information-based stage: In terms of production, the main characteristics are mobile interconnection of equipment and remote integrated monitoring; at the management level, the main characteristics are full information coverage and information-based control. At this stage, the information application system covers all hydropower plant operations, can analyze and utilize information to a certain extent, and has a relatively complete information-based control system.

[0102] ④ Digital stage: Based on comprehensive informatization, comprehensively perceive the real-time dynamics of hydropower plants, employees, and operations through digital means, realize the fusion analysis of data, drive the production and management of hydropower plants with data, and achieve functions such as optimized operation and predictive maintenance. Through preset models, some operations can be automatically executed to assist manual decision-making.

[0103] ⑤ Intelligent stage: Based on digitalization, it can independently use data for decision-making judgments, and conduct independent analysis and learning on the decision results, continuously optimize and adjust the decision-making judgment mechanism, and achieve "self-perception, self-learning, self-adaptation, self-decision-making, and self-execution".

[0104] In the stage of constructing the hydropower intelligent maturity model, construct an intelligent maturity evaluation model for hydropower plants, and realize the division of ① ability elements, ② ability domains, ③ ability sub-domains and their weightings for each production and management operation of hydropower plants, and construct five-level evaluation criteria for the intelligent maturity of multiple dimensions for each ability sub-domain. The stage of constructing the hydropower intelligent maturity model is the core link for evaluating the intelligent level of hydropower plants, including steps:

[0105] Step 2.1: The division of ability elements, ability domains, and ability sub-domains is the first step in the stage of constructing the hydropower intelligent maturity model. The intelligent hydropower maturity model consists of ability elements, ability domains, ability sub-domains and their respective weightings, where ability elements are composed of ability domains, and ability domains are composed of ability sub-domains. The primary task of constructing an intelligent maturity evaluation model for intelligent hydropower plants is to divide ① ability elements, ② ability domains, ③ ability sub-domains.

[0106] In this step, it is necessary to clearly divide the key capabilities and domains involved in intelligent hydropower. These capability elements, capability domains, and sub-capability domains generally cover all aspects of the production and management operations of an intelligent hydropower plant, such as the level of equipment intelligence, the degree of system automation, data management and analysis capabilities, operation and maintenance intelligence capabilities, etc. Through a detailed division of capability domains, a comprehensive evaluation framework can be established, providing a solid foundation for subsequent stages.

[0107] Taking a specific hydropower plant as an example, according to the requirements of the intelligent development and construction of the hydropower plant, the intelligent hydropower capability elements focus on three sectors: production, management, and infrastructure. Among them, the production capability elements can be divided into five capability domains: operation, maintenance, assets, technology, and safety. The management capability elements can be divided into five capability domains: organizational strategy, human resources, technological innovation, standardization, and integration. The infrastructure capability elements can be divided into two capability domains: resources and technology, as Figure 3 shown. According to the differences in the business types and intelligent construction directions of each hydropower plant, the division of capability elements, capability domains, and sub-domains can be dynamically adjusted.

[0108] Step 2.2: After dividing the ① capability elements, ② capability domains, and ③ sub-capability domains of the intelligent hydropower plant maturity evaluation model in Step 2.1, it is necessary to comprehensively evaluate the impact of each capability on intelligent hydropower and determine the weight values of each capability element, capability domain, and sub-capability domain. According to the differences in the business types and intelligent construction directions of each hydropower plant, the weight values of capability elements, capability domains, and sub-domains can be dynamically adjusted.

[0109] Table 1 shows the weight distribution of the capability domains in the intelligent hydropower plant maturity model of a certain hydropower plant.

[0110] Table 1 Weight Distribution of Capability Domains in the Intelligent Hydropower Plant Maturity Model

[0111]

[0112] Step 2.3: After assigning weight values to each capability element, capability domain, and sub-capability domain of the intelligent hydropower plant maturity evaluation model in Step 2.2, it is necessary to construct a five-level maturity evaluation standard for each sub-capability domain. Construct a five-level maturity evaluation standard for the sub-capability domains divided in Table 1 of Step 2.2. Table 2 shows the five-level evaluation standard of the sub-capability domains in the intelligent hydropower plant maturity model of a certain hydropower plant.

[0113] Table 2 Five-Level Evaluation Standard of Sub-Capability Domains in the Intelligent Hydropower Plant Maturity Model

[0114]

[0115]

[0116]

[0117]

[0118]

[0119]

[0120]

[0121]

[0122]

[0123]

[0124]

[0125]

[0126]

[0127]

[0128]

[0129]

[0130]

[0131] In the stage of establishing the scoring criteria for the maturity of hydropower intelligence, by comparing the actual research status of the ability sub-domains of the hydropower plant intelligence maturity model with the maturity requirements of the five-level evaluation criteria, each requirement in the evaluation domain is scored according to the degree of satisfaction, realizing the quantitative analysis of the satisfaction degree scores of the maturity requirements of each evaluation dimension in the ability sub-domain, so as to obtain the calculation methods for the maturity level scores of the ability domain, ability elements, and finally the hydropower plant. According to the maturity level scores of the hydropower plant, a precise, comprehensive, objective, and scientific quantitative evaluation of the intelligence level of the hydropower plant is achieved, including the steps:

[0132] Step 3.1: Calculate the satisfaction degree score X of the maturity requirements of each evaluation dimension of the ability sub-domain at a certain maturity level. Compare the actual research status evidence of the hydropower plant with the maturity requirements, and score each requirement in the evaluation domain according to the degree of satisfaction. The corresponding relationship between the degree of satisfaction of the maturity requirements and the score X is: if not satisfied, X takes 0 points; if partially satisfied, X takes 0 - 0.5 points; if mostly satisfied, X takes 0.5 - 0.8 points; if basically satisfied, X takes 0.8 - 1 point.

[0133] Step 3.2: Calculate the score D of the capability sub-domain at a certain maturity level. This score is the arithmetic mean of the scores of each requirement of the capability sub-domain, and the score D of the capability sub-domain is calculated according to Equation (1). Where D is the score of the capability sub-domain; X is the score of the requirement of the capability sub-domain; n is the number of requirements of the capability sub-domain.

[0134]

[0135] Step 3.3: Calculate the score C of the capability domain at a certain maturity level. This score is the weighted sum of the scores of the capability sub-domains under the capability domain, and the score C of the capability domain is calculated according to Equation (2). Where C is the score of the capability domain; γ is the weight of the capability sub-domain.

[0136]

[0137] Step 3.4: Calculate the score B of the capability element at a certain maturity level. This score is the weighted sum of the scores of the capability domains under the capability element, and the score B of the capability element is calculated according to Equation (3). Where B is the score of the capability element; β is the weight of the capability domain.

[0138]

[0139] Step 3.5: Calculate the score A of the hydropower plant at this maturity level. This score is the weighted sum of the scores of the capability elements at this maturity level, and the score A of this maturity level is calculated according to Equation (4). Where A is the score of this maturity level; α is the weight of the capability element.

[0140]

[0141] Step 3.6: Maturity level determination. Calculate the score A of the hydropower plant at each maturity level i i After that, when the maturity score A at a certain level i exceeds the lowest score of the score range, it is considered to meet the requirements of this level; otherwise, it is considered not to meet. When calculating the overall score, the maturity score A of the levels that have been met i takes the value of 1, and the maturity score A of the levels that do not meet i takes the actual score of this level. The total score S of the intelligent hydropower capability maturity is calculated according to Equation (5), which is the cumulative sum of the scoring results of each level.

[0142]

[0143] The corresponding relationship between the maturity level of the hydropower plant and the total score S of the intelligent hydropower capacity maturity is as follows: when 0.8 ≤ S < 1.8, the hydropower plant is at level 1 (paper-based / manual); when 1.8 ≤ S < 2.8, the hydropower plant is at level 2 (electronic / automated); when 2.8 ≤ S < 3.8, the hydropower plant is at level 3 (information-based / networked); when 3.8 ≤ S < 4.8, the hydropower plant is at level 4 (digital); when 4.8 ≤ S ≤ 5, the hydropower plant is at level 5 (intelligent).

[0144] The implementation stage of the intelligent level assessment process of the hydropower plant is the specific application and realization of the intelligent level evaluation method of the hydropower plant based on the maturity model, realizing functions such as the implementation of intelligent evaluation, suggestions for improving intelligent construction, and the revision and improvement of the maturity model. Its core goal is to form a closed-loop management of the intelligent evaluation work of the hydropower plant of "evaluation - improvement - re-evaluation" through systematic evaluation, feedback and iterative optimization, promote the continuous improvement of the intelligent construction of the hydropower plant, and at the same time promote the dynamic evolution of the maturity model to fit the actual needs of the power plant. The implementation stage of the intelligent level assessment process of the hydropower plant mainly includes steps such as pre-assessment, formal assessment, release of assessment results, proposal of improvement directions, and improvement of the maturity model, specifically including:

[0145] Step 4.1: Pre-assessment of the intelligent level of the hydropower plant. The pre-assessment needs to clarify the assessment scope and baseline, and the main contents include forming an assessment team, preparing assessment materials, conducting preliminary research and assessment, and defining the dimensions of the assessment scope, etc.

[0146] Step 4.2: Formal assessment of the intelligent level of the hydropower plant. The formal assessment needs to quantitatively analyze the intelligent level based on the maturity model, and the main contents include collecting assessment evidence, conducting in-depth research covering the whole plant, scoring item by item according to the maturity scoring standard, determining the maturity level, and forming assessment findings and assessment reports.

[0147] Step 4.3: Release the assessment results of the intelligent level of the hydropower plant. The release of the assessment results includes the release of the assessment results of the current intelligent level status of the hydropower plant; forming visual charts and reports for displaying the maturity of each dimension; identifying key gaps by comparing with industry benchmarks or target levels; marking areas that need to be urgently improved and proposing the priority ranking of intelligent construction.

[0148] Step 4.4: Propose the direction of intelligent improvement and construction of the hydropower plant. Based on the assessment results of the intelligent level in Step 4.3, propose the direction of intelligent improvement of the hydropower plant, formulate corresponding measures, and carry out activities to improve intelligent capabilities. The direction of intelligent improvement and construction should include short-term optimization, medium-term construction, and long-term planning, and formulate an intelligent construction roadmap and resource allocation.

[0149] Step 4.5: Revise and improve the maturity model. According to the research and evaluation results, the business development of hydropower plants, and the development of industry intelligent technologies, dynamically and continuously update, revise, and improve the maturity model. Through systematic evaluation, feedback, and iterative optimization, form a closed-loop management of the intelligent evaluation work of hydropower plants, namely "evaluation - improvement - re-evaluation". The methods include but are not limited to: index update, weight reallocation, scoring standard iteration, standard dynamic expansion, etc., and the specific manifestations are as follows:

[0150] ① Index update. According to the dynamic development of industry technologies, use expert research methods such as the Delphi method to solicit expert opinions, screen key new indicators, and update the indicators of the maturity evaluation model.

[0151] ② Weight reallocation. Calculate the actual data distribution based on the entropy weight method, and adjust it in combination with the Analytic Hierarchy Process (AHP). If it is found that the actual contribution degree of the ability sub-domain does not meet the expectation, then re-adjust the weight allocation ratio.

[0152] ③ Scoring standard iteration. According to the change of industry technology maturity, re-define the evaluation threshold index system of the five-level maturity evaluation system.

[0153] ④ Standard dynamic expansion. Design a modular index system, allowing regional custom expansion modules, such as the expansion of the business scope of hydropower plants.

[0154] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. An evaluation method for the intelligent level of hydropower plants based on a maturity model, characterized in that Including: Division of the development stages of hydropower intelligence: Qualitatively divide the development stages of hydropower plant intelligence from a macroscopic perspective, define the development stages of intelligent hydropower from two business levels of production and management. The division of the development stages of intelligent hydropower includes the overall characteristics, stage features and typical characteristics of each stage of the development of hydropower plant intelligence; Construction of the intelligence maturity model: On the premise of the division of the development stages of hydropower intelligence, construct an intelligence maturity evaluation model for hydropower plants, and divide the ability elements, ability domains, ability sub-domains and their weights for each production and management business of the hydropower plant. Among them, the ability elements are composed of ability domains, and the ability domains are composed of ability sub-domains. Conduct multi-dimensional evaluations on each ability sub-domain, and construct a five-level evaluation standard for multi-dimensional intelligence maturity for each ability sub-domain; Establishment of the maturity scoring standard: By comparing the actual research status of the ability sub-domains of the hydropower plant intelligence maturity model with the maturity requirements of the five-level evaluation standard, score each requirement of the evaluation domain according to the degree of satisfaction, and realize the quantitative analysis of the satisfaction degree scores of the maturity requirements of each evaluation dimension of the ability sub-domain, so as to obtain the calculation methods for the maturity level scores of the ability domain, ability elements and finally the hydropower plant; Implementation of the intelligent level evaluation process: Based on the specific application implementation of the hydropower plant intelligent level evaluation method based on the maturity model, realize the landing application of intelligent evaluation, improvement suggestions for intelligent construction, and correction and improvement of the maturity model.

2. The intelligent level evaluation method of a hydropower plant based on a maturity model according to claim 1, characterized in that The division of the development stages of the above-mentioned hydropower intelligence specifically includes the following steps: Step 1.1, divide the development stages of intelligent hydropower from two business levels covering the production and management of hydropower plants; construct a five-level evaluation system for the intelligence maturity of hydropower plants, including: Level 1: Paper-based / manual; Level 2: Electronic / automated; Level 3: Information-based / networked; Level 4: Digital; and Level 5: Intelligent; Step 1.2, according to the intelligent hydropower development stage division standard in Step 1.1, put forward the overall characteristics of each stage in the five-level evaluation system for intelligent hydropower development, including: ① Manual / paper-based stage: The basis of management methods and production operations, and relies on paper records and manual operations; ② Automated / electronic stage: Realize the transformation of the management process from paper records to electronic records and storage; through mechanical equipment, automated equipment and control system means, realize the automation of repetitive tasks in the production process; ③ Networked / information-based stage: The process of digitally processing, storing, transmitting and applying various information through computer technology and information technology means; use mobile devices and mobile Internet technology to improve the operation efficiency and management level of hydropower plants; ④ Digital stage: The process of transforming things, processes and concepts in the real world into digital signals that can be processed by a computer; ⑤ Intelligent stage: Through artificial intelligence technology means, enable machines to have human-like perception, cognition, learning and decision-making abilities; Step 1.3: According to the overall characteristics of the intelligent hydropower development stage in Step 1.2, put forward the stage features of each stage in the five-level evaluation system for intelligent hydropower development, including: ① Manualization / Paper-based Stage: Data is manually recorded and stored on paper, with low information retrieval efficiency; equipment operation is completed manually, and manual inspections are carried out; decision-making execution relies on manual experience; maintenance plans and execution rely on manual compilation and tracking; ② Automation / Electronic Stage: Management processes are electronic and production processes are automated; ③ Networking / Informatization Stage: Achieve the integrated sharing, mobile interconnection, and effective utilization of information resources, including enterprise resource planning, customer relationship management, and supply chain management; ④ Digital Stage: Help hydropower plants achieve visualization, controllability, and optimization of the production process; ⑤ Intelligent Stage: Help hydropower plants achieve automated decision-making, autonomous control, and intelligent perception functions; Step 1.4: According to the overall characteristics of the intelligent hydropower development stage in Step 1.2, propose the typical characteristics of each stage in the five-level evaluation system for intelligent hydropower development, including: ① Manualization / Paper-based Stage: In terms of production, the main characteristics are manual operation, experience-based decision-making, and lagging maintenance; at the management level, the main characteristics are paper-based data and paper-based storage; ② Automation / Electronic Stage: In terms of production, the main characteristics are remote monitoring and automatic adjustment; at the management level, the main characteristics are institutionalized processes and electronic elements; ③ Networking / Informatization Stage: In terms of production, the main characteristics are mobile interconnection of equipment and remote integrated monitoring; at the management level, the main characteristics are full information coverage and informatization control. In this stage, the informatization application system covers all hydropower plant operations and can analyze and utilize information to a certain extent; ④ Digital Stage: On the basis of comprehensive informatization, comprehensively perceive the real-time dynamics of hydropower plants, employees, and operations through digital means, realize the fusion analysis of data, drive the production and management of hydropower plants with data, and achieve optimized operation and predictive maintenance functions. Through preset models, some operations can be automatically executed to assist manual decision-making; ⑤ Intelligent Stage: On the basis of digitalization, it can independently use data for decision-making judgments, and conduct autonomous analysis and learning on the decision results, continuously optimize and adjust the decision-making judgment mechanism, and achieve "self-perception, self-learning, self-adaptation, self-decision-making, and self-execution".

3. The intelligent level evaluation method for a hydropower plant based on a maturity model according to claim 2, wherein In Step 1.1, the intelligent hydropower plant is specifically divided into manualization, automation, and networking stages in terms of production, and correspondingly divided into paper-based, electronic, and informatization stages in terms of management. After breaking through network isolation and information silos in production and management operations and achieving integrated control and data fusion, it gradually enters the digital and intelligent stages.

4. The intelligent level evaluation method of a hydropower plant based on a maturity model according to claim 2, characterized in that The construction of the intelligent maturity model specifically includes the following steps: Step 2.1, divide the capability elements, capability domains, and capability sub-domains; among them, the intelligent hydropower maturity model consists of capability elements, capability domains, capability sub-domains, and their respective weights. Capability elements are composed of capability domains, and capability domains are composed of capability sub-domains; Step 2.

2. After the capability elements, capability domains, and capability sub-domains of the intelligent hydropower plant maturity evaluation model are divided according to Step 2.1, comprehensively evaluate the impact of each capability on intelligent hydropower, determine the weight values of each capability element, capability domain, and capability sub-domain, and dynamically adjust the weight values of the capability elements, capability domains, and capability sub-domains according to the differences in the business types and intelligent construction directions of each hydropower plant. Step 2.

3. After the weight values are assigned to each capability element, capability domain, and capability sub-domain of the intelligent hydropower plant maturity evaluation model according to Step 2.2, construct a five-level maturity evaluation criterion for each capability sub-domain.

5. The intelligent level evaluation method of a hydropower plant based on a maturity model according to claim 4, characterized in that, In Step 2.1, the capability elements, capability domains, and capability sub-domains cover all aspects of the production and management operations of an intelligent hydropower plant, including the level of equipment intelligence, the degree of system automation, data management and analysis capabilities, and operation and maintenance intelligence capabilities.

6. The method for evaluating the intelligent level of a hydropower plant based on a maturity model according to claim 5, characterized in that: The intelligent hydropower capability elements include three sections: production, management, and infrastructure. Among them, the production capability elements are divided into five capability domains: operation, maintenance, assets, technology, and safety; the management capability elements are divided into five capability domains: organizational strategy, human resources, scientific and technological innovation, standardization, and integration; the infrastructure capability elements are divided into two capability domains: resources and technology. The division of the capability elements, capability domains, and capability sub-domains is dynamically adjusted according to the differences in the business types and intelligent construction directions of each hydropower plant.

7. The intelligent level evaluation method for a hydropower plant based on a maturity model according to claim 4, wherein The establishment of the maturity scoring criterion specifically includes the following steps: Step 3.

1. Calculate the satisfaction degree score X of the maturity requirements of each evaluation dimension of the capability sub-domain at a certain maturity level. Compare the actual surveyed current situation evidence of the hydropower plant with the maturity requirements, and score each requirement of the evaluation domain according to the satisfaction degree. The corresponding relationship between the maturity requirement satisfaction degree and the score X is as follows: when not satisfied, X takes 0 points; when partially satisfied, X takes 0 - 0.5 points; when mostly satisfied, X takes 0.5 - 0.8 points; when basically satisfied, X takes 0.8 - 1 point. Step 3.

2. Calculate the score D of the capability sub-domain at a certain maturity level. This score is the arithmetic mean of the scores of each requirement of the capability sub-domain. The score D of the capability sub-domain is calculated according to Equation (1), where D is the score of the capability sub-domain; X is the requirement score of the capability sub-domain; n is the number of requirements of the capability sub-domain. Step 3.

3. Calculate the score C of the capability domain at a certain maturity level. This score is the weighted sum of the scores of the capability sub-domains under the capability domain. The score C of the capability domain is calculated according to Equation (2), where C is the score of the capability domain; γ is the weight of the capability sub-domain. Step 3.

4. Calculate the score B of the capability element at a certain maturity level. This score is the weighted sum of the scores of the capability domains under the capability element. The score B of the capability element is calculated according to Equation (3), where B is the score of the capability element; β is the weight of the capability domain. Step 3.

5. Calculate the score A of the hydropower plant at this maturity level. This score is the weighted sum of the scores of the capability elements at this maturity level. The score A of this maturity level is calculated according to Equation (4), where A is the score of this maturity level; α is the weight of the capability element. Step 3.6, Maturity Level Judgment: Calculate the score A of the hydropower plant at each maturity level i i After that, when the maturity score A at a certain level i exceeds the lowest score of the scoring range, it is considered to meet the requirements of that level; otherwise, it is considered not to meet the requirements. When calculating the overall score, the maturity score A of the level that has been met i takes the value of 1, and the maturity score A of the level that does not meet the requirements i takes the actual score of that level. The total score S of the intelligent hydropower capacity maturity is calculated according to formula (5) as the cumulative sum of the scoring results of each level; 8. The intelligent level evaluation method of a hydropower plant based on a maturity model according to claim 7, wherein, In step 3.6, the corresponding relationship between the maturity level of the hydropower plant and the total score S of the intelligent hydropower capability maturity is as follows: when 0.8 ≤ S < 1.8, the hydropower plant is at level 1: paper-based / manual; when 1.8 ≤ S < 2.8, the hydropower plant is at level 2: electronic / automated; when 2.8 ≤ S < 3.8, the hydropower plant is at level 3: informatization / networking; when 3.8 ≤ S < 4.8, the hydropower plant is at level 4: digitalization; when 4.8 ≤ S ≤ 5, the hydropower plant is at level 5: intelligentization.

9. The intelligent level evaluation method of a hydropower plant based on a maturity model according to claim 7, characterized in that, The implementation of the intelligent level evaluation process specifically includes the following steps: Step 4.1, preliminary evaluation of the intelligent level of the hydropower plant: The preliminary evaluation needs to clarify the evaluation scope and baseline. The main contents include forming an evaluation team, preparing evaluation materials, conducting preliminary research and evaluation, and defining the dimension of the evaluation scope, etc. Step 4.2, formal evaluation of the intelligent level of the hydropower plant: The formal evaluation needs to quantitatively analyze the intelligent level based on the maturity model. The main contents include collecting evaluation evidence, conducting in-depth research covering the whole plant, scoring item by item according to the maturity scoring standard, determining the maturity level, and forming evaluation findings and an evaluation report; Step 4.3, releasing the evaluation results of the intelligent level of the hydropower plant: The release of the evaluation results includes the release of the evaluation results of the current intelligent level status of the hydropower plant; forming visual charts and reports for displaying the maturity of each dimension; identifying key gaps by comparing with industry benchmarks or target levels; marking areas that need to be urgently improved and putting forward the priority ranking of intelligent construction; Step 4.4, putting forward the direction of intelligent improvement and construction of the hydropower plant: Based on the evaluation results of the intelligent level in step 4.3, put forward the direction of intelligent improvement of the hydropower plant, and formulate corresponding measures to carry out intelligent capacity improvement activities; the direction of intelligent improvement and construction should include short-term optimization, medium-term construction, and long-term planning, and formulate an intelligent construction roadmap and resource allocation; Step 4.5, revising and improving the maturity model: According to the research and evaluation results, the business development of the hydropower plant, and the development of industry intelligent technologies, dynamically and continuously update, revise, and improve the maturity model. Through systematic evaluation, feedback, and iterative optimization, form a closed-loop management of the intelligent evaluation work of the hydropower plant of "evaluation - improvement - re-evaluation".

10. The evaluation method for the intelligent level of a hydropower plant based on a maturity model according to claim 9, characterized in that, The closed-loop management method of the intelligent evaluation work of the hydropower plant in step 4.5 includes: index update, weight reallocation, scoring standard iteration, and standard dynamic expansion; Specifically manifested as: ① Index update: According to the dynamic development of industry technologies, adopt the expert research method to screen key new indicators and update the indicators of the maturity evaluation model; ② Weight reallocation: Calculate the actual data distribution based on the entropy weight method and adjust it in combination with the analytic hierarchy process AHP. If it is found that the actual contribution degree of the ability sub-domain does not meet the expectation, then re-adjust the weight distribution ratio; ③ Scoring standard iteration: According to the change of industry technology maturity, re-define the evaluation threshold index system of the maturity five-level evaluation system; ④ Standard dynamic expansion: Design a modular index system to allow regional self-defined expansion modules.

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