Transformer substation project green construction evaluation method based on multi-source data fusion

Abstract

The invention belongs to the technical field of electric power engineering construction management, and particularly relates to a transformer substation engineering green construction evaluation method based on multi-source data fusion, which comprises the following steps: S1, data acquisition and analysis; s2, constructing a green construction evaluation index system; s3, weight distribution and score calculation; and S4, performing comprehensive score and result output. According to the invention, an evaluation system covering the whole life cycle of the green construction of the transformer substation project is constructed, and green construction activities of all stages are comprehensively covered from green planning to green transfer. Through detailed evaluation of the green building level of each stage, the green building performance of the project in different stages can be systematically reflected, and the limitation of only paying attention to a single stage, such as the limitation of a design or construction stage, in a traditional evaluation method is avoided, so that the systematicness and comprehensiveness of green building evaluation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power engineering construction management, and in particular relates to a green construction evaluation method for a substation project based on multi-source data fusion. Background Art

[0002] In the field of green construction evaluation of substation projects, there are many problems that need to be solved in the existing technology. First, the existing evaluation index system has obvious shortcomings. It often only focuses on a single dimension such as energy consumption or environmental protection, lacks comprehensiveness and systematicness, and the weight distribution between the evaluation indicators lacks scientific basis, which makes it difficult to accurately reflect the overall green level of engineering construction. Secondly, in terms of data acquisition, it currently mainly relies on manual data extraction from CAD drawings. This method is not only time-consuming and labor-intensive, but also prone to errors when processing a large number of drawings. Especially when the drawing version is updated, it is necessary to repeat the tedious manual data extraction work, which seriously affects the efficiency of the evaluation work. In addition, the existing evaluation method relies too much on expert experience judgment, lacks standardized evaluation processes and quantitative indicators, resulting in strong subjectivity of the evaluation results, poor comparability and repeatability. Finally, in terms of data processing, the existing technology cannot effectively integrate the multi-dimensional information in the CAD drawings, lacks intelligent drawing parsing and data analysis methods, and it is difficult to establish an effective correlation between drawing data and evaluation indicators. Summary of the invention

[0003] The present invention aims to provide a green construction evaluation method for substation projects based on multi-source data fusion to solve the above problems.

[0004] The present invention is achieved through the following technical solutions:

[0005] A green construction evaluation method for substation projects based on multi-source data fusion includes the following steps:

[0006] S1: Data collection and analysis: Analyze the planning documents, design plans, construction records and completion acceptance reports provided by customers to extract quantifiable indicator data;

[0007] S2: Construct a green construction evaluation index system and determine the evaluation indicators and quantification methods for each stage based on the core requirements of green construction;

[0008] S3: Weight allocation and score calculation, based on the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, calculate the weight of each indicator and perform weighted synthesis of the evaluation results;

[0009] S4: Comprehensive scoring and result output, combining the evaluation scores of each stage, calculate the comprehensive score of green construction and form the final evaluation report.

[0010] Preferably, in S2, the green construction evaluation index system specifically includes green planning stage index, green design stage index, green construction stage index, and green handover stage index. The specific steps are as follows:

[0011] S2.1: Determination of indicators in the green planning stage. The green planning stage is the starting point of green construction work. Its indicators mainly evaluate the planning of green construction goals, resource optimization and environmental risk management in the planning stage of the project;

[0012] S2.2: Determination of indicators for the green design stage. The green design stage is the core link of green construction. Its indicators focus on evaluating the performance of the design scheme in terms of energy saving, resource utilization and environmental protection;

[0013] S2.3: Determination of indicators for the green handover stage. The green handover stage is the final stage of green construction. Its indicators focus on evaluating the achievement of green construction goals and operation and maintenance support during the completion acceptance and handover stages;

[0014] The evaluation methods for green construction stage indicators are the same as those for green design stage indicators.

[0015] Preferably, in S2.1, the green planning stage indicator is determined and obtained by the following steps:

[0016] S2.1.1: Establish clarity of green construction goals (Igp1), by analyzing the goal descriptions in the planning documents, and counting the number and quantification of green construction goals;

[0017] Calculation formula:

[0018]

[0019] Among them, N quantified To clearly quantify the number of green construction targets, N total The total number of green construction goals proposed during the planning phase.

[0020] Scoring Rules:

[0021] I gp1 ≥80%: full marks;

[0022] 50%≤I gp1 <80%:Score according to proportion;

[0023] Igp1<50%: 0 points;

[0024] S2.1.2: Develop resource optimization plan integrity (I gp2 ), by analyzing the planning documents, counting the types of resources and the number of measures covered by the resource optimization plan;

[0025] Calculation formula:

[0026]

[0027] Among them, N covered is the number of resource types covered, N required The number of resource types required to be covered, including material resources, energy resources, and water resources.

[0028] Scoring Rules:

[0029] I gp2 =100%: full marks;

[0030] 66.7%≤I gp2 <100%: score according to proportion;

[0031] I gp2 <66.7%: 0 points;

[0032] S2.1.3: Establish environmental risk assessment coverage (Igp3). Quantitative method: Analyze environmental assessment reports and count the number of risk types covered.

[0033] Calculation formula:

[0034]

[0035] Among them, N covered is the number of risk types covered, N total is the total number of risk types that need to be covered, including dust, noise, and water pollution;

[0036] Scoring Rules:

[0037] I gp3 =100%: full marks;

[0038] 66.7%≤I gp3 <100%: score according to proportion;

[0039] I gp3 <66.7%: 0 points.

[0040] Preferably, in S2.2, the green design stage indicator determination comprises the following steps:

[0041] S2.2.1: Develop energy-saving design optimization rate (I gd1 ), by analyzing the design documents, calculate the energy consumption reduction ratio after the optimized design;

[0042] Calculation formula:

[0043]

[0044] Among them, E original is the energy consumption of the original design, E optimized For optimized energy consumption.

[0045] Scoring Rules:

[0046] I gd1 ≥20%: full marks;

[0047] 10%≤I gd1 <20%:Score according to proportion;

[0048] I gd1 <10%: 0 points;

[0049] S2.2.2: Establish the proportion of green material application (Igd2), and calculate the proportion of green materials in the total materials by analyzing the design documents;

[0050] Calculation formula:

[0051]

[0052] Among them, Mgreen is the amount of green materials, including renewable materials and low-carbon materials, and M total is the total material usage;

[0053] Scoring Rules:

[0054] Igd2 ≥ 30%: full score;

[0055] 10%≤I gd2 <30%:Score according to proportion;

[0056] I gd2 <10%: 0 points.

[0057] S2.2.3: Establish a design rate for water recycling (Igd3) and determine whether water recycling facilities are designed by analyzing whether the design documents contain water recycling systems including rainwater recovery and wastewater treatment and reuse.

[0058] Scoring Rules:

[0059] Full marks for including a complete water recycling system;

[0060] Partial inclusion received a moderate score;

[0061] 0 points if not included.

[0062] Preferably, in S2.3, the green handover stage indicator determination comprises the following steps:

[0063] S2.3.1: Establish a green performance acceptance rate (Igh1). By analyzing the completion acceptance report, evaluate whether the green construction goals, including energy saving rate, resource utilization rate, and pollutant emission control, are achieved during the completion acceptance stage, and verify the qualification of relevant indicators. Count the number of green construction goals actually achieved in the planning stage and calculate the target achievement rate.

[0064] Calculation formula:

[0065]

[0066] Among them, N achieved is the number of green construction targets achieved at the completion stage, N total Total number of green construction targets set for the planning phase.

[0067] Scoring Rules:

[0068] I gh1 ≥90%: full marks;

[0069] 70%≤I gh1 <90%:Score according to proportion;

[0070] I gh1 <70%: 0 points.

[0071] S2.3.2: Develop green construction file integrity (I gh2 ), by checking the completeness of the transferred files, counting the number of types of files provided, including design plans, construction records, monitoring data, acceptance reports and operation and maintenance manuals, and comparing them with the types of files required to be provided.

[0072] Calculation formula:

[0073]

[0074] Among them, N provided is the number of file types provided, N required The total number of file types requested. ;

[0075] Scoring Rules:

[0076] I gh2 =100%: full marks;

[0077] 66.7%≤I gh2 <100%: score according to proportion;

[0078] I gh2 <66.7%: 0 points.

[0079] S2.3.3: Develop operational and maintenance guidance documents (Igh3 ) By analyzing the transferred operation and maintenance documents, it is determined whether the content of the documents covers key areas, including specific requirements and operating guidelines for equipment maintenance, energy management, resource recycling, etc., and whether they meet regulatory requirements.

[0080] Scoring Rules:

[0081] The document content is comprehensive and highly standardized, so it gets full marks;

[0082] The document content covers some areas or has some irregularities, so it gets a medium score;

[0083] If the content of the document is seriously missing or non-standard, 0 points will be awarded.

[0084] Preferably, in S3, the following steps are specifically included:

[0085] S3.1: Weight allocation, based on the analytic hierarchy process (AHP), combined with expert scores and the actual needs of green construction, to determine the weight of each stage;

[0086] S3.2: Construct a comprehensive evaluation formula to sum the weighted scores of each stage;

[0087] S3.3: Calculate the scores of each stage;

[0088] S3.4: Establish a fuzzy comprehensive evaluation model.

[0089] Preferably, in S3.2, the comprehensive evaluation formula is:

[0090] S total =W gp ·S gp +W gd ·S gd +W gc ·S gc +W gh ·S gh

[0091] in:

[0092] Sgp: Total score of green planning phase;

[0093] Sgd: total score of green design stage;

[0094] Sgc: Total score of green construction stage;

[0095] S gh : Total score of green handover stage;

[0096] W gp , W gd , W gc , Wgh They are the weight of the green planning stage, the weight of the green design stage, the weight of the green construction stage, and the weight of the green handover stage.

[0097] Preferably, in S3.3, the scores of each stage are obtained by the following formula:

[0098]

[0099] in:

[0100] S stage : The total score of a certain stage;

[0101] W i : The weight of the i-th indicator in a certain stage;

[0102] I i : The actual score of the ith indicator in a certain stage;

[0103] n: The total number of indicators in this stage.

[0104] Preferably, in S3.4, a fuzzy comprehensive evaluation model is established, which specifically includes the following steps:

[0105] S3.4.1: Evaluation factor set (U): includes the indicators to be evaluated;

[0106] Evaluation level set (V): set several evaluation levels, such as "excellent", "good", "average", "poor", and "bad", corresponding to fuzzy score values ​​1.0, 0.8, 0.6, 0.4, and 0.2 respectively;

[0107] S3.4.2: Determine the degree of membership of each indicator at different evaluation levels through expert scoring or data analysis to form a fuzzy evaluation matrix R;

[0108] S3.4.3: Use the analytic hierarchy process (AHP) or other weight allocation methods to determine the weight of each indicator and form a weight vector A = [W1, W2, …, W n ];

[0109] S3.4.4: The comprehensive membership vector B is obtained through fuzzy matrix operation:

[0110] B=A·R

[0111] Where B=[b1,b2,…,b m ], b i Indicates the membership degree of the comprehensive evaluation result at the i-th level;

[0112] S3.4.5: Based on the comprehensive membership vector B, the weighted average method or the maximum membership method is used to calculate the final evaluation result. The final score S is calculated by the following formula:

[0113]

[0114] Among them, V i is the score corresponding to the i-th evaluation level, and S is the final score.

[0115] Preferably, in S4, the comprehensive scoring and result output are specifically outputted through the following steps:

[0116] S4.1: Output a comprehensive scoring report, which includes the scores and comprehensive scores of each stage of green planning, green design, green construction and green handover, analyzes the advantages and disadvantages of each stage, and puts forward improvement suggestions;

[0117] S4.2: Output green construction rating. According to the comprehensive scoring results, the substation project is divided into different green construction grades, including "excellent", "good", "average" and "unqualified", which directly reflects the green construction level of the project;

[0118] S4.3: Output improvement suggestions and optimization directions, and put forward specific optimization suggestions for the weak links in each stage, so as to provide a reference for the green construction of similar projects;

[0119] S4.4: Output data support and traceability, through digital archiving, to provide data support for the green construction of subsequent projects.

[0120] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0121] 1. Covering the entire life cycle, improving the systematic nature of green construction;

[0122] The present invention constructs an evaluation system covering the entire life cycle of green construction of substation projects, from green planning to green handover, and comprehensively covers green construction activities at all stages. Through detailed evaluation of the green construction level at each stage, it can systematically reflect the green construction performance of the project at different stages, avoiding the limitation of traditional evaluation methods that only focus on a single stage (such as design or construction stage), thereby improving the systematicness and comprehensiveness of green construction evaluation.

[0123] 2. Based on multi-source data fusion, ensure the scientificity and objectivity of the evaluation results

[0124] The present invention achieves deep fusion and standardized processing of multi-source data by parsing various data forms provided by customers (such as PDF, Word files, design drawings, construction records and monitoring data, etc.). Compared with the traditional evaluation method that relies on a single data source, the present invention can more comprehensively obtain key information related to green construction and ensure the scientificity, objectivity and traceability of the evaluation results. At the same time, the fusion of multi-source data also provides important data support for the dynamic monitoring and optimization of green construction.

[0125] 3. Combine qualitative and quantitative evaluation to improve the accuracy of evaluation

[0126] In the process of index evaluation, the present invention adopts a combination of qualitative and quantitative methods, focusing not only on the quantitative achievement of green construction goals (such as energy saving rate, resource utilization rate, etc.), but also on fuzzy comprehensive evaluation of indicators that are difficult to quantify (such as the clarity of green planning goals, the management standardization of green construction, etc.). By introducing the fuzzy comprehensive evaluation method (FCE), the problem of combining qualitative and quantitative methods in a complex multidimensional index system is effectively solved, and the accuracy and reliability of the evaluation are significantly improved.

[0127] 4. Scientific weight distribution, highlighting the focus of green construction

[0128] The present invention uses the analytic hierarchy process (AHP) to assign weights to the evaluation indicators, combines the actual needs of green construction with expert experience, and scientifically determines the weights of each stage and each indicator. The rationality of weight assignment ensures that the evaluation results can fully reflect the key points and key links of green construction of the project, and avoids the evaluation distortion problem caused by the randomness of weight assignment in traditional evaluation methods.

[0129] 5. Provide comprehensive scores and improvement suggestions to promote green construction optimization

[0130] The present invention calculates the comprehensive score of green construction through a weighted scoring model, and combines the specific scores of each stage to clarify the advantages and weaknesses of the green construction of the project. The evaluation results can not only provide a basis for the green rating of substation projects, but also provide specific improvement suggestions for project optimization, guide the continuous improvement of subsequent projects in green construction, and ultimately achieve a comprehensive improvement in the level of green construction.

[0131] 6. Improve the operability and promotion of green construction projects

[0132] The evaluation method of the present invention has clear indicators and a clear quantitative method, and has strong operability. The evaluation system can be flexibly adjusted according to the characteristics of different projects and is applicable to substation projects of different scales and types. At the same time, the method can also be extended to other types of engineering projects, providing a scientific evaluation tool and theoretical support for the popularization and promotion of the concept of green construction.

[0133] 7. Support digital transformation and intelligent management

[0134] The present invention provides technical support for the digital transformation of green construction by analyzing and integrating multi-source data. The data accumulated in the evaluation process can provide data reference for the green construction of subsequent projects and realize the intelligent management of green construction. At the same time, the digital characteristics of the evaluation system can also be combined with intelligent construction, intelligent operation and maintenance and other systems to provide a more efficient solution for the full life cycle management of green construction.

[0135] 8. Promote the standardization and regularization of the green construction industry

[0136] The present invention provides a reference for the standardized evaluation of green construction of substation projects by constructing a scientific and systematic green construction evaluation system. Its evaluation method and index system can provide theoretical support for the standardized development of the green construction industry, help promote the formulation and improvement of green construction evaluation standards, and promote the widespread application of green construction technology in the industry.

[0137] Through scientific evaluation of the entire life cycle of green construction of substation projects, the present invention not only fills the gaps in existing evaluation methods in data fusion, combination of qualitative and quantitative methods, and coverage of the entire life cycle, but also provides important technical support for the promotion and optimization of green construction, with significant social, economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0138] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0139] Figure 1 is a flow chart of the steps of the method of the present invention;

[0140] Figure 2 is a flow chart of the steps of S2 of the present invention;

[0141] Figure 3 is a flow chart of the steps of S3 of the present invention;

[0142] Figure 4 This is a flow chart of the steps of S4 of the present invention. DETAILED DESCRIPTION

[0143] In order to enable those skilled in the art to better understand the solution of the present application, the following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0144] according to Figure 1-4 The green construction evaluation method of a substation project based on multi-source data fusion includes the following steps:

[0145] S1: Data collection and analysis: Analyze the planning documents, design plans, construction records and completion acceptance reports provided by customers to extract quantifiable indicator data;

[0146] S2: Construct a green construction evaluation index system and determine the evaluation indicators and quantification methods for each stage based on the core requirements of green construction;

[0147] S3: Weight allocation and score calculation, based on the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, calculate the weight of each indicator and perform weighted synthesis of the evaluation results;

[0148] S4: Comprehensive scoring and result output, combining the evaluation scores of each stage, calculate the comprehensive score of green construction and form the final evaluation report.

[0149] In this embodiment, in S2, the green construction evaluation index system specifically includes green planning stage index, green design stage index, green construction stage index, and green handover stage index. The specific steps are as follows:

[0150] S2.1: Determination of indicators in the green planning stage. The green planning stage is the starting point of green construction work. Its indicators mainly evaluate the planning of green construction goals, resource optimization and environmental risk management in the planning stage of the project;

[0151] S2.2: Determination of indicators for the green design stage. The green design stage is the core link of green construction. Its indicators focus on evaluating the performance of the design scheme in terms of energy saving, resource utilization and environmental protection;

[0152] S2.3: Determination of indicators for the green handover stage. The green handover stage is the final stage of green construction. Its indicators focus on evaluating the achievement of green construction goals and operation and maintenance support during the completion acceptance and handover stages;

[0153] The evaluation methods for green construction stage indicators are the same as those for green design stage indicators.

[0154] In this embodiment, in S2.1, the green planning stage indicator is determined and obtained by the following steps:

[0155] S2.1.1: Establish clarity of green construction goals (Igp1), by analyzing the goal descriptions in the planning documents, and counting the number and quantification of green construction goals;

[0156] Calculation formula:

[0157]

[0158] Among them, N quantified To clearly quantify the number of green construction targets, N total The total number of green construction goals proposed during the planning phase.

[0159] Scoring Rules:

[0160] I gp1 ≥80%: full marks;

[0161] 50%≤I gp1 <80%:Score according to proportion;

[0162] Igp1<50%: 0 points;

[0163] S2.1.2: Develop resource optimization plan integrity (I gp2 ), by analyzing the planning documents, counting the types of resources and the number of measures covered by the resource optimization plan;

[0164] Calculation formula:

[0165]

[0166] Among them, N covered is the number of resource types covered, N required The number of resource types required to be covered, including material resources, energy resources, and water resources.

[0167] Scoring Rules:

[0168] I gp2 =100%: full marks;

[0169] 66.7%≤I gp2 <100%: score according to proportion;

[0170] I gp2 <66.7%: 0 points;

[0171] S2.1.3: Establish environmental risk assessment coverage (Igp3). Quantitative method: Analyze environmental assessment reports and count the number of risk types covered.

[0172] Calculation formula:

[0173]

[0174] Among them, N covered is the number of risk types covered, N total is the total number of risk types that need to be covered, including dust, noise, and water pollution;

[0175] Scoring Rules:

[0176] I gp3 =100%: full marks;

[0177] 66.7%≤I gp3 <100%: score according to proportion;

[0178] I gp3 <66.7%: 0 points.

[0179] In this embodiment, in S2.2, the green design stage indicator is determined, including the following steps:

[0180] S2.2.1: Develop energy-saving design optimization rate (I gd1 ), by analyzing the design documents, calculate the energy consumption reduction ratio after the optimized design;

[0181] Calculation formula:

[0182]

[0183] Among them, E original is the energy consumption of the original design, E optimized For optimized energy consumption.

[0184] Scoring Rules:

[0185] I gd1 ≥20%: full marks;

[0186] 10%≤I gd1 <20%:Score according to proportion;

[0187] I gd1 <10%: 0 points;

[0188] S2.2.2: Establish the proportion of green material application (Igd2), and calculate the proportion of green materials in the total materials by analyzing the design documents;

[0189] Calculation formula:

[0190]

[0191] Among them, Mgreen is the amount of green materials, including renewable materials and low-carbon materials, and M total is the total material usage;

[0192] Scoring Rules:

[0193] Igd2 ≥ 30%: full score;

[0194] 10%≤I gd2 <30%:Score according to proportion;

[0195] I gd2 <10%: 0 points.

[0196] S2.2.3: Establish a design rate for water recycling (Igd3) and determine whether water recycling facilities are designed by analyzing whether the design documents contain water recycling systems including rainwater recovery and wastewater treatment and reuse.

[0197] Scoring Rules:

[0198] Full marks for including a complete water recycling system;

[0199] Partial inclusion received a moderate score;

[0200] 0 points if not included.

[0201] In this embodiment, in S2.3, the green handover stage indicator is determined, including the following steps:

[0202] S2.3.1: Establish green performance acceptance rate (I gh1 ), by analyzing the completion acceptance report, evaluate whether the green construction goals including energy saving rate, resource utilization rate, and pollutant emission control are achieved during the completion acceptance stage, and verify the qualification of relevant indicators, count the number of green construction goals actually achieved in the planning stage, and calculate the goal achievement rate.

[0203] Calculation formula:

[0204]

[0205] Among them, N achieved is the number of green construction targets achieved at the completion stage, N total Total number of green construction targets set for the planning phase.

[0206] Scoring Rules:

[0207] I gh1 ≥90%: full marks;

[0208] 70%≤I gh1 <90%:Score according to proportion;

[0209] I gh1 <70%: 0 points.

[0210] S2.3.2: Develop green construction file integrity (I gh2 ), by checking the completeness of the transferred files, counting the number of types of files provided, including design plans, construction records, monitoring data, acceptance reports and operation and maintenance manuals, and comparing them with the types of files required to be provided.

[0211] Calculation formula:

[0212]

[0213] Among them, N provided is the number of file types provided, N required The total number of file types requested. ;

[0214] Scoring Rules:

[0215] I gh2 =100%: full marks;

[0216] 66.7%≤I gh2 <100%: score according to proportion;

[0217] I gh2 <66.7%: 0 points.

[0218] S2.3.3: Develop operational and maintenance guidance documents (I gh3 ) By analyzing the transferred operation and maintenance documents, it is determined whether the content of the documents covers key areas, including specific requirements and operating guidelines for equipment maintenance, energy management, resource recycling, etc., and whether they meet regulatory requirements.

[0219] Scoring Rules:

[0220] The document content is comprehensive and highly standardized, so it gets full marks;

[0221] The document content covers some areas or has some irregularities, so it gets a medium score;

[0222] If the content of the document is seriously missing or non-standard, 0 points will be awarded.

[0223] In this embodiment, S3 specifically includes the following steps:

[0224] S3.1: Weight allocation, based on the analytic hierarchy process (AHP), combined with expert scores and the actual needs of green construction, to determine the weight of each stage;

[0225] In this embodiment, the green planning stage weight (Wgp ): 20%;

[0226] The planning stage is the starting point of green construction, and its goal setting and resource optimization plan play a guiding role in subsequent stages.

[0227] Green design stage weight (W gd ): 30%;

[0228] The design stage is the core link of green construction and directly affects the green performance of the construction and operation stages.

[0229] Green construction stage weight (W gc ): 35%;

[0230] The construction phase is the implementation link of green construction goals, and key indicators such as resource conservation and environmental protection are concentrated here.

[0231] Green transfer stage weight (W gh ): 15%;

[0232] The handover stage is the final link of green construction. The integrity of the files and the operation and maintenance guidance directly affect the subsequent green operation results.

[0233] S3.2: Construct a comprehensive evaluation formula to sum the weighted scores of each stage;

[0234] S3.3: Calculate the scores of each stage;

[0235] S3.4: Establish a fuzzy comprehensive evaluation model.

[0236] In this embodiment, S3 also includes:

[0237] S3.5: Risk management and response strategy formulation: Based on the risk assessment results, formulate corresponding risk management measures and response strategies to reduce the negative impacts that may occur during the construction process;

[0238] S3.6: Green technology innovation application evaluation, evaluate the green technology innovation applied in engineering construction, including the implementation effect of technological innovation, cost-benefit analysis and contribution to green construction goals, and incorporate the evaluation results into the comprehensive evaluation system to promote the continuous improvement and development of green construction technology.

[0239] In this embodiment, in S3.2, the comprehensive evaluation formula is:

[0240] S total =W gp ·S gp +W gd ·S gd +W gc ·S gc +Wgh ·S gh

[0241] in:

[0242] Sgp: Total score of green planning phase;

[0243] Sgd: total score of green design stage;

[0244] Sgc: Total score of green construction stage;

[0245] S gh : Total score of green handover stage;

[0246] Wgp, Wgd, W gc , W gh They are the weight of the green planning stage, the weight of the green design stage, the weight of the green construction stage, and the weight of the green handover stage.

[0247] In this embodiment, in S3.3, the scores of each stage are obtained by the following formula:

[0248]

[0249] in:

[0250] S stage : The total score of a certain stage;

[0251] W i : The weight of the i-th indicator in a certain stage;

[0252] I i : The actual score of the ith indicator in a certain stage;

[0253] n: the total number of indicators in this stage;

[0254] The weight distribution of indicators in each stage is determined based on the actual needs of green construction and expert experience, by constructing a judgment matrix and using the analytic hierarchy process (AHP) to perform consistency verification. In this embodiment, in the green design stage, the weight distribution of indicators such as energy-saving design optimization rate, green material application ratio, and resource recycling design are 0.4, 0.3, and 0.3 respectively. The specific weight distribution can be adjusted according to the actual situation of the project.

[0255] In this embodiment, in S3.4, a fuzzy comprehensive evaluation model is established, which specifically includes the following steps:

[0256] S3.4.1: Evaluation factor set (U): includes the indicators to be evaluated;

[0257] Evaluation level set (V): set several evaluation levels, such as "excellent", "good", "average", "poor", and "bad", corresponding to fuzzy score values ​​1.0, 0.8, 0.6, 0.4, and 0.2 respectively;

[0258] In this embodiment, for the green construction target clarity index, its membership matrix is:

[0259]

[0260] S3.4.2: Determine the degree of membership of each indicator at different evaluation levels through expert scoring or data analysis to form a fuzzy evaluation matrix R;

[0261] S3.4.3: Use the analytic hierarchy process (AHP) or other weight allocation methods to determine the weight of each indicator and form a weight vector A = [W1, W2, …, W n ];

[0262] S3.4.4: The comprehensive membership vector B is obtained through fuzzy matrix operation:

[0263] B=A·R

[0264] Where B=[b1,b2,…,b m ], b i Indicates the membership degree of the comprehensive evaluation result at the i-th level;

[0265] S3.4.5: Based on the comprehensive membership vector B, the weighted average method or the maximum membership method is used to calculate the final evaluation result. The final score S is calculated by the following formula:

[0266]

[0267] Among them, V i is the score corresponding to the i-th evaluation level, and S is the final score.

[0268] In this embodiment, in S4, the comprehensive scoring and result output are specifically outputted through the following steps:

[0269] S4.1: Output a comprehensive scoring report, which includes the scores and comprehensive scores of each stage of green planning, green design, green construction and green handover, analyzes the advantages and disadvantages of each stage, and puts forward improvement suggestions;

[0270] S4.2: Output green construction rating. According to the comprehensive scoring results, the substation project is divided into different green construction grades, including "excellent", "good", "average" and "unqualified", which directly reflects the green construction level of the project;

[0271] S4.3: Output improvement suggestions and optimization directions, and put forward specific optimization suggestions for the weak links in each stage, so as to provide a reference for the green construction of similar projects;

[0272] S4.4: Output data support and traceability, through digital archiving, to provide data support for the green construction of subsequent projects.

[0273] In this embodiment, S4 also includes S4.5: real-time monitoring and dynamic adjustment, by establishing a real-time monitoring system to track and monitor key green construction indicators in the construction process in real time. Once a deviation from the predetermined target is found, the system will automatically issue an early warning and provide adjustment suggestions to ensure the realization of the green construction target;

[0274] S4.6: Post-environmental impact assessment: After the project is completed, a post-assessment of the environmental impact of the construction process will be conducted, including but not limited to ecological restoration, pollutant emissions, resource consumption, etc. The assessment results will be fed back to the evaluation system to optimize future green construction projects.

[0275] In this embodiment, in S4, the following is further included:

[0276] S4.7: Multi-dimensional data analysis: Use big data analysis technology to conduct multi-dimensional analysis of the massive data generated during the construction process, including but not limited to energy consumption, material utilization efficiency, construction efficiency, environmental impact, etc., to identify key influencing factors in the green construction process;

[0277] S4.8: Intelligent decision support, based on multi-dimensional data analysis results and combined with artificial intelligence algorithms, provides project managers with intelligent decision support, including resource optimization allocation suggestions, construction plan optimization suggestions, environmental risk prevention measures, etc., to improve the efficiency and effectiveness of green construction.

[0278] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A green construction evaluation method for substation projects based on multi-source data fusion, characterized in that: The steps include: S1: Data collection and analysis: Analyze the planning documents, design plans, construction records and completion acceptance reports provided by customers to extract quantifiable indicator data; S2: Construct a green construction evaluation index system and determine the evaluation indicators and quantification methods for each stage based on the core requirements of green construction; S3: Weight allocation and score calculation, based on the hierarchical analysis method and fuzzy comprehensive evaluation method, calculate the weight of each indicator and perform weighted synthesis of the evaluation results; S4: Comprehensive scoring and result output, combining the evaluation scores of each stage, calculate the comprehensive score of green construction and form the final evaluation report.

2. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 1, characterized in that: In S2, the green construction evaluation index system specifically includes green planning stage indicators, green design stage indicators, green construction stage indicators, and green handover stage indicators. The specific steps are as follows: S2.1: Determination of indicators in the green planning stage. The green planning stage is the starting point of green construction work. Its indicators mainly evaluate the planning of green construction goals, resource optimization and environmental risk management in the planning stage of the project; S2.2: Green design stage indicators are determined. The green design stage is the core link of green construction. Its indicators focus on evaluating the performance of the design scheme in energy saving, resource utilization and environmental protection; S2.3: Determination of indicators for the green handover stage. The green handover stage is the final stage of green construction. Its indicators focus on evaluating the achievement of green construction goals and operation and maintenance support during the completion acceptance and handover stages; The evaluation methods for green construction stage indicators are the same as those for green design stage indicators.

3. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 2, characterized in that: In S2.1, the green planning stage indicators are determined and obtained through the following steps; S2.1.1: Establish clarity of green construction goals (Igp1), by analyzing the goal descriptions in the planning documents, and counting the number and quantification of green construction goals; Calculation formula: Among them, N quantified To clearly quantify the number of green construction targets, N total The total number of green construction goals proposed during the planning phase; Scoring Rules: I gp1 ≥80%: full marks; 50%≤I gp1 <80%:Score according to proportion; Igp1<50%: 0 points; S2.1.2: Develop resource optimization plan integrity (I gp2 ), by analyzing the planning documents, counting the types of resources and the number of measures covered by the resource optimization plan; Calculation formula: Among them, N covered is the number of resource types covered, N required The number of resource types required to be covered, including material resources, energy resources, and water resources; Scoring Rules: I gp2 =100%: full marks; 66.7%≤I gp2 <100%: score according to proportion; I gp2 <66.7%: 0 points; S2.1.3: Develop environmental risk assessment coverage (I gp3 ), Quantitative method: by analyzing the environmental assessment report, counting the number of risk types covered; Calculation formula: Among them, N covered is the number of risk types covered, N total is the total number of risk types that need to be covered, including dust, noise, and water pollution; Scoring Rules: I gp3 =100%: full marks; 66.7%≤I gp3 <100%: score according to proportion; I gp3 <66.7%: 0 points.

4. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 2, characterized in that: In S2.2, the green design stage indicators are determined, including the following steps: S2.2.1: Develop energy-saving design optimization rate (I gd1 ), by analyzing the design documents, calculate the energy consumption reduction ratio after the optimized design; Calculation formula: Among them, E original is the energy consumption of the original design, E optimized For optimized energy consumption; Scoring Rules: I gd1 ≥20%: full marks; 10%≤I gd1 <20%:Score according to proportion; I gd1 <10%: 0 points; S2.2.2: Establish the proportion of green materials used (I gd2 ), by analyzing the design documents, calculate the proportion of green materials in the total materials; Calculation formula: Among them, M green The amount of green materials, including renewable materials and low-carbon materials, M total is the total material usage; Scoring Rules: I gd2 ≥30%: full marks; 10%≤I gd2 <30%:Score according to proportion; I gd2 <10%: 0 points; S2.2.3: Develop a design rate for water resource recycling (I gd3 ), by analyzing whether the design documents contain water resource recycling systems, including rainwater recycling and wastewater treatment and reuse, to determine whether water resource recycling facilities have been designed; Scoring Rules: Full marks for including a complete water recycling system; Partial inclusion received a moderate score; 0 points if not included.

5. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 2, characterized in that: In S2.3, the green handover stage indicator is determined, including the following steps: S2.3.1: Establish green performance acceptance rate (I gh1 ), by analyzing the completion acceptance report, evaluating whether the green construction goals including energy saving rate, resource utilization rate, and pollutant emission control are achieved during the completion acceptance stage, and verifying the eligibility of relevant indicators, counting the number of green construction goals actually achieved in the planning stage, and calculating the target achievement rate; Calculation formula: Among them, N achieved is the number of green construction targets achieved at the completion stage, N total The total number of green construction targets set for the planning phase; Scoring Rules: I gh1 ≥90%: full marks; 70%≤I gh1 <90%:Score according to proportion; I gh1 <70%:0 points; S2.3.2: Develop green construction file integrity (I gh2 ), by checking the completeness of the transferred files, counting the number of types of files provided, including design plans, construction records, monitoring data, acceptance reports and operation and maintenance manuals, and comparing them with the types of files required to be provided; Calculation formula: Among them, N provided is the number of file types provided, N required The total number of types of files requested; Scoring Rules: I gh2 =100%: full marks; 66.7%≤I gh2 <100%: score according to proportion; I gh2 <66.7%: 0 points; S2.3.3: Develop operational and maintenance guidance documents (I gh3 ) By analyzing the handed-over operation and maintenance documents, determine whether the contents of the documents cover key areas, including specific requirements and operation guidelines for equipment maintenance, energy management, and resource recycling, and whether they meet regulatory requirements; Scoring Rules: The document content is comprehensive and highly standardized, so it gets full marks; The document content covers some areas or has some irregularities, so it gets a medium score; If the content of the document is seriously missing or non-standard, 0 points will be awarded.

6. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 1, characterized in that: In S3, the specific steps include: S3.1: Weight allocation, based on the analytic hierarchy process (AHP), combined with expert scores and the actual needs of green construction, to determine the weight of each stage; S3.2: Construct a comprehensive evaluation formula to sum the weighted scores of each stage; S3.3: Calculate the scores of each stage; S3.4: Establish a fuzzy comprehensive evaluation model.

7. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 6, characterized in that: In S3.2, the comprehensive evaluation formula is: S total =W gp ·S gp +W gd ·S gd +W gc ·S gc +W gh ·S gh in: Sgp: Total score of green planning phase; Sgd: total score of green design stage; Sgc: Total score of green construction stage; S gh : Total score of green handover stage; Wgp, Wgd, W gc , W gh They are the weight of the green planning stage, the weight of the green design stage, the weight of the green construction stage, and the weight of the green handover stage.

8. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 6, characterized in that: In S3.3, the scores of each stage are obtained by the following formula: in: S stage : The total score of a certain stage; W i : The weight of the i-th indicator in a certain stage; I i : The actual score of the ith indicator in a certain stage; n: The total number of indicators in this stage.

9. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 6, characterized in that: In S3.4, a fuzzy comprehensive evaluation model is established, which specifically includes the following steps: S3.4.1: Evaluation factor set (U): includes the indicators to be evaluated; Evaluation level set (V): set several evaluation levels, such as "excellent", "good", "average", "poor", and "bad", corresponding to fuzzy score values ​​1.0, 0.8, 0.6, 0.4, and 0.2 respectively; S3.4.2: Determine the degree of membership of each indicator at different evaluation levels through expert scoring or data analysis to form a fuzzy evaluation matrix R; S3.4.3: Use the analytic hierarchy process to determine the weight of each indicator and form a weight vector A = [W1, W2, ..., W n ]; S3.4.4: The comprehensive membership vector B is obtained through fuzzy matrix operation: B=A·R Where B=[b1,b2,…,b m ], b i Indicates the membership degree of the comprehensive evaluation result at the i-th level; S3.4.5: Based on the comprehensive membership vector B, the weighted average method or the maximum membership method is used to calculate the final evaluation result. The final score S is calculated by the following formula: Among them, V i is the score corresponding to the i-th evaluation level, and S is the final score.

10. A green construction evaluation method for substation engineering based on multi-source data fusion according to claim 1, characterized in that: In S4, the comprehensive scoring and result output are specifically output through the following steps: S4.1: Output a comprehensive scoring report, which includes the scores and comprehensive scores of each stage of green planning, green design, green construction and green handover, analyzes the advantages and disadvantages of each stage, and puts forward improvement suggestions; S4.2: Output green construction rating. According to the comprehensive scoring results, the substation project is divided into different green construction grades, including "excellent", "good", "average" and "unqualified", which directly reflects the green construction level of the project; S4.3: Output improvement suggestions and optimization directions, and put forward specific optimization suggestions for the weak links in each stage, so as to provide a reference for the green construction of similar projects; S4.4: Output data support and traceability, through digital archiving, to provide data support for the green construction of subsequent projects.

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