Mountain building green low-carbon technology cost benefit evaluation method based on matter element extension

Abstract

The invention aims to provide a mountain building green low-carbon technology cost-benefit evaluation method based on matter element extension, and belongs to the technical field of green building cost-benefit evaluation. An evaluation index system covering six dimensions of land saving, material saving, water saving, energy saving, indoor environment and operation management is constructed; the incremental cost and benefit of the green low-carbon technology are estimated, a subjective weight is determined by adopting a G1 method, an objective weight is determined by adopting an entropy weight method, and a comprehensive weight is obtained through game theory combination. The method comprises the following steps: dividing evaluation characteristics into a basic level, a first-star level, a second-star level and a third-star level by utilizing a matter element extension evaluation model, determining a classical domain, a node domain and matter elements to be evaluated, calculating correlation degree and comprehensive correlation degree, and finally determining the level of an evaluation index. The invention provides a scientific and comprehensive evaluation method for the cost benefit evaluation of the green low-carbon technology of the mountain building, fills up the research blank in the field, and promotes the application of the green low-carbon technology in the mountain building.

Description

Technical Field

[0001] The present invention relates to the technical field of cost - benefit evaluation of green buildings, and particularly to a method for evaluating the cost - benefit of green and low - carbon technologies for mountain buildings based on matter - element extension Background Art

[0002] With the acceleration of the urbanization process, flat land resources are becoming increasingly scarce, and the construction of mountain towns has gradually become an important development trend. However, during the mountain construction process, environmental and ecological protection as well as the rational utilization of resources are important issues that must be considered. The rise of green and low - carbon technologies provides new ideas for the sustainable development of mountain buildings.

[0003] At present, the research on green and low - carbon technologies for mountain buildings mainly focuses on single aspects, such as the design of mountain buildings, the application of green and low - carbon technologies, etc. There is a relative lack of systematic research on the coupling of the two aspects, the theoretical research is not sufficient, and a scientific, comprehensive, and complete evaluation system has not been formed. In addition, the current analysis and evaluation of the cost - benefit of green and low - carbon technologies are usually carried out separately, lacking an overall study that combines the two. Especially for the evaluation model of the cost - benefit of green and low - carbon technologies for mountain buildings, the current research still has obvious deficiencies and cannot make a reasonable and accurate evaluation of the cost - benefit of green and low - carbon technologies for mountain buildings.

[0004] In actual mountain building projects, due to the lack of scientific and effective evaluation methods and models, there are many problems in the application and decision - making process of green and low - carbon technologies. For example, it is impossible to accurately evaluate the cost - benefit of different green and low - carbon technologies, and it is difficult to determine the optimal technology combination and implementation plan, which affects the popularization and application of green and low - carbon technologies in mountain buildings and is not conducive to the sustainable development of mountain buildings.

[0005] Therefore, there is an urgent need for a method and model that can accurately, scientifically, and comprehensively evaluate the cost - benefit of green and low - carbon technologies for mountain buildings to fill the gaps in existing research and provide strong support and guidance for the application and development of green and low - carbon technologies for mountain buildings. Summary of the Invention

[0006] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a method for evaluating the cost - benefit of green and low - carbon technologies for mountain buildings based on matter - element extension. By constructing a systematic evaluation index system covering six dimensions of land saving, material saving, water saving, energy saving, indoor environment, and operation management, the purpose of comprehensively evaluating the cost - benefit of green and low - carbon technologies for mountain buildings is achieved; by adopting a combined weighting method that combines subjective weight (G1 method) and objective weight (entropy weight method), the purpose of scientifically determining the weights of evaluation indexes is achieved; by using a matter - element extension evaluation model to calculate the correlation degree and the characteristic value of the grade variable, the purpose of accurately evaluating the grade of the cost - benefit of green and low - carbon technologies is achieved.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The present invention provides a method for evaluating the cost - benefit of green and low - carbon technologies for mountainous buildings based on matter - element extension, including the following steps:

[0009] S1. Construct an evaluation index system for the cost - benefit of green and low - carbon technologies for mountainous buildings. The evaluation index system includes six sub - target levels: land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, energy saving and energy utilization, indoor environmental quality, and operation management. Each sub - target level has relevant criterion levels below it, and each criterion level includes two indicators: payback period and benefit - cost ratio;

[0010] S2. Estimate the incremental cost and incremental benefit of the green and low - carbon technologies for mountainous buildings;

[0011] S3. Use the combined weighting method to determine the weights of each evaluation index in the evaluation index system in S1;

[0012] S4. Construct a matter - element extension evaluation model and output the evaluation grade.

[0013] Further, the step S2 includes:

[0014] S2.1. Estimate the incremental costs in four aspects: land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, and energy saving and energy utilization;

[0015] S2.2. Estimate the incremental benefits of land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, and energy saving and energy utilization.

[0016] Further, the step S3 includes:

[0017] S3.1. Use the G1 method to determine the subjective weight;

[0018] S3.2. Use the entropy weight method to determine the objective weight;

[0019] S3.3. Use the game theory method to combine the subjective weight and the objective weight to obtain the combined weight.

[0020] Further, the calculation formula for the subjective weight coefficient w i of the i - th evaluation index in the step S3.1 is:

[0021]

[0022] where w i is the subjective weight coefficient of the i - th evaluation index, m is the number of experts participating in scoring, s is the expert serial number, It is the weight score value of the sth expert for the ith index.

[0023] Furthermore, the entropy weight Q of the ith evaluation index in step S3.2 i is calculated by the formula:

[0024] and

[0025] where Q i is the entropy weight value of the ith evaluation index, d i is the information entropy value of the ith evaluation index, and p is the number of evaluation indexes.

[0026] Furthermore, the calculation formula of the final comprehensive weight S1 in step S3.3 is:

[0027]

[0028] where S1 is the final comprehensive weight, α1 is the first linear combination coefficient of the game theory method, α2 is the second linear combination coefficient of the game theory method, is the optimal solution of the subjective weight; is the optimal solution of the objective weight.

[0029] Furthermore, step S4 includes:

[0030] S4.1. Divide the evaluation features into four levels: basic level, one-star level, two-star level and three-star level;

[0031] S4.2. Determine the classical domain of the cost-benefit evaluation of green and low-carbon technologies;

[0032] S4.3. Determine the extension domain of the cost-benefit evaluation of green and low-carbon technologies;

[0033] S4.4. Determine the matter element to be evaluated;

[0034] S4.5. Calculate the correlation degree and the comprehensive correlation degree;

[0035] S4.6. For the indexes in the same technology layer of the evaluation index system, calculate the grade variable characteristic values of the indexes to determine the evaluation grades of the evaluation indexes.

[0036] Furthermore, the matter element to be evaluated in step S4.4 is determined according to the following matrix:

[0037]

[0038] where R0 is the matter element to be evaluated, N0 represents the cost-benefit evaluation grade, and X 0i represents N0 with respect to c iThe measured value, c i is the i-th evaluation index, and n is the number of evaluation indexes.

[0039] Furthermore, the eigenvalue J of the rank variable in the step S4.5 * has the following calculation formula:

[0040]

[0041] where J * is the eigenvalue of the rank variable of thing N, k represents the number of types of evaluation grades, j is the serial number of the evaluation grade, is the index specification processing value, is the target layer correlation matrix.

[0042] Furthermore, in the step S2.2, the incremental benefit of water conservation and water resource utilization is calculated by multiplying the water saving amount by the water fee, and the incremental benefit of energy conservation and energy utilization is calculated by multiplying the energy saving amount by the energy cost.

[0043] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0044] (1) The present invention constructs a comprehensive evaluation index system from six dimensions of land saving, material saving, water saving, energy saving, indoor environment and operation management, covering all aspects of green and low-carbon technologies for mountain buildings. Such a systematic evaluation system can comprehensively reflect the cost-benefit of green and low-carbon technologies in mountain buildings, make up for the deficiencies in the cost-benefit evaluation of green and low-carbon technologies for mountain buildings in existing research, and enrich the research methods in this field.

[0045] (2) The present invention uses the combined weighting method to determine the weights of evaluation indexes, integrating the advantages of subjective weights and objective weights. By using the G1 method to determine the subjective weight, the experience and judgment of experts can be fully considered; by using the entropy weight method to determine the objective weight, the objectivity and rationality of weight distribution can be ensured. Finally, the game theory method is used to combine the subjective weight and the objective weight, and the obtained combined weight can more accurately reflect the importance of each evaluation index, thus improving the scientificity and accuracy of the evaluation results.

[0046] (3) The technical process of the cost-benefit evaluation of green and low-carbon technologies for mountain buildings proposed by the present invention, including steps such as inputting evaluation index data, estimating incremental costs and incremental benefits, constructing an evaluation model and outputting evaluation grades, has a clear operation process and specific method guidance. Such a practical and operable evaluation method can provide a powerful tool for the cost-benefit evaluation of green and low-carbon technologies for mountain buildings, facilitating popularization and use in practical applications.

[0047] (4) In the evaluation process of the present invention, two indicators, namely the investment payback period and the benefit-cost ratio, are fully considered. It not only pays attention to the economic benefits of green and low-carbon technologies but also takes into account their environmental benefits. Through this comprehensive evaluation, while ensuring economic benefits, the environmental benefits of green and low-carbon technologies can be maximally exerted, achieving a balanced development of economic and environmental benefits.

[0048] In summary, the present invention can objectively and accurately evaluate the cost-benefit of green and low-carbon technologies for mountain buildings, which helps to identify the advantages and disadvantages of green and low-carbon technologies in mountain buildings and provides a basis for the improvement and optimization of green and low-carbon technologies. Through scientific evaluation, it can better promote the application and development of green and low-carbon technologies in mountain buildings, accelerate the green and low-carbon process of mountain buildings, and contribute to the realization of sustainable development goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The drawings forming a part of the specification depict embodiments of the present invention and, together with the specification, are used to explain the principles of the present invention.

[0050] Referring to the drawings, the present invention can be more clearly understood according to the following detailed description, wherein:

[0051] Figure 1 is a schematic flow chart of the cost-benefit evaluation method for green and low-carbon technologies of mountain buildings based on matter-element extension, covering the construction of the index system, weight calculation, model operation, and result output;

[0052] Figure 2 is a schematic flow chart of the specific implementation process of the cost-benefit evaluation method for green and low-carbon technologies of mountain buildings based on matter-element extension, including the definition of the classical domain, the calculation of the correlation degree, and the grade determination. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] The technical solution of the present invention will be described in detail below with reference to the drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present application and the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. Without conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other. The following embodiments are only used to illustrate the technical solution of the present invention more clearly and cannot be used to limit the protection scope of the present invention.

[0054] The term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the front and back associated objects.

[0055] Embodiment 1

[0056] Figure 1 This is the flowchart of a cost - benefit evaluation method for green and low - carbon technologies of mountain architecture based on matter - element extension in Embodiment 1 of the present invention. This flowchart only shows the logical sequence of the method described in this embodiment. On the premise of no conflict, in other possible embodiments of the present invention, the steps shown or described can be completed in a different order from Figure 1 that shown.

[0057] This embodiment is a typical implementation manner of the present invention, providing a cost - benefit evaluation method for green and low - carbon technologies of mountain architecture based on matter - element extension. As Figure 1 shown, the method of this embodiment specifically includes the following steps:

[0058] A cost - benefit evaluation method for green and low - carbon technologies of mountain architecture based on matter - element extension, characterized by including the following steps:

[0059] S1. Construct an evaluation index system for the cost - benefit of green and low - carbon technologies of mountain architecture. The evaluation index system includes six sub - target levels: land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, energy saving and energy utilization, indoor environmental quality, and operation management. Each sub - target level has relevant criterion levels below it, and each criterion level contains two indicators: payback period and benefit - cost ratio;

[0060] S2. Estimate the incremental cost and incremental benefit of green and low - carbon technologies of mountain architecture;

[0061] S3. Use the combination weighting method to determine the weights of each evaluation index in the evaluation index system in S1;

[0062] S4. Construct a matter - element extension evaluation model and output the evaluation grade.

[0063] Further, for the cost - benefit evaluation method for green and low - carbon technologies of mountain architecture based on matter - element extension, step S2 includes:

[0064] S2.1. Estimate the incremental costs in four aspects: land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, and energy saving and energy utilization;

[0065] S2.2. Estimate the incremental benefits of land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, and energy saving and energy utilization.

[0066] Further, for the cost - benefit evaluation method for green and low - carbon technologies of mountain architecture based on matter - element extension, step S3 includes:

[0067] S3.1. Use the G1 method to determine the subjective weight;

[0068] S3.2. Determine the objective weight by using the entropy weight method;

[0069] S3.3. Use the game theory method to combine the subjective weight and the objective weight to obtain the combined weight.

[0070] Furthermore, for the cost - benefit evaluation method of green and low - carbon technologies for mountain buildings based on matter - element extension, in step S3.1, the subjective weight coefficient \(w_{i}\) of the \(i\) - th evaluation index i is calculated by the formula:

[0071]

[0072] where \(w_{i}\) i is the subjective weight coefficient of the \(i\) - th evaluation index, \(m\) is the number of experts, \(s\) is the expert serial number, is the weight score value of the \(s\) - th expert for the \(i\) - th index.

[0073] Furthermore, for the cost - benefit evaluation method of green and low - carbon technologies for mountain buildings based on matter - element extension, in step S3.2, the entropy weight \(Q_{i}\) of the \(i\) - th evaluation index i is calculated by the formula:

[0074] and

[0075] where \(Q_{i}\) i is the entropy weight value of the \(i\) - th evaluation index, \(d_{i}\) i is the information entropy value of the \(i\) - th evaluation index, and \(p\) is the number of evaluation indexes.

[0076] Furthermore, for the cost - benefit evaluation method of green and low - carbon technologies for mountain buildings based on matter - element extension, in step S3.3, the calculation formula of the final comprehensive weight \(S1\) is:

[0077]

[0078] where \(S1\) is the final comprehensive weight, \(\alpha_{1}\) is the first linear combination coefficient of the game theory method, \(\alpha_{2}\) is the second linear combination coefficient of the game theory method, is the optimal solution of the subjective weight; is the optimal solution of the objective weight.

[0079] Furthermore, for the cost - benefit evaluation method of green and low - carbon technologies for mountain buildings based on matter - element extension, step S4 includes:

[0080] S4.1. Divide the evaluation features into four levels: basic level, one - star level, two - star level, and three - star level;

[0081] S4.2. Determine the classical domain of the cost - benefit evaluation of green and low - carbon technologies;

[0082] S4.3. Determine the universe of discourse for the cost-benefit evaluation of green and low-carbon technologies;

[0083] S4.4. Determine the matter element to be evaluated;

[0084] S4.5. Calculate the correlation degree and the comprehensive correlation degree;

[0085] S4.6. For the indicators in the same technology layer of the evaluation index system, calculate the eigenvalue of the grade variable of the indicator to determine the evaluation grade of the evaluation indicator.

[0086] Furthermore, for the cost-benefit evaluation method of green and low-carbon technologies for mountain buildings based on matter-element extension, the matter element to be evaluated in step S4.4 is determined according to the following matrix:

[0087]

[0088] Among them, R0 is the matter element to be evaluated, N0 represents the cost-benefit evaluation grade, X 0i represents the measured value of N0 with respect to c i The ci is the i-th evaluation indicator, and n is the number of evaluation indicators.

[0089] Furthermore, for the cost-benefit evaluation method of green and low-carbon technologies for mountain buildings based on matter-element extension, the calculation formula for the eigenvalue of the grade variable J * in step S4.5 is:

[0090]

[0091] Among them, J * is the eigenvalue of the grade variable of the thing N, k represents the number of types of evaluation grades, j is the grade serial number, is the index specification processing value, is the target layer correlation matrix.

[0092] Furthermore, for the cost-benefit evaluation method of green and low-carbon technologies for mountain buildings based on matter-element extension, in step S2.2, the incremental benefit of water conservation and water resource utilization is calculated by multiplying the water conservation amount by the water fee, and the incremental benefit of energy conservation and energy utilization is calculated by multiplying the energy conservation amount by the energy cost.

[0093] Compared with the prior art, the present invention provides a cost-benefit evaluation model for green and low-carbon technologies for mountain buildings based on combined weighting-matter-element extension, constructs a cost-benefit evaluation index system for green and low-carbon technologies for mountain buildings from six dimensions of land saving, material saving, water saving, energy saving, indoor environment, and operation management, and selects a method coupling combined weighting and matter-element extension to evaluate the model, objectively evaluates the cost-benefit of green and low-carbon technologies for mountain buildings, effectively makes up for the blank of the cost-benefit evaluation of green and low-carbon technologies for mountain buildings, and enriches the research methods in this field.

[0094] 2. This invention patent establishes an evaluation index system for the cost - benefit of green and low - carbon technologies in mountainous buildings, constructs an evaluation model for the cost - benefit of green and low - carbon technologies in mountainous buildings, effectively supplements the evaluation framework for the cost - benefit of green and low - carbon technologies, broadens the current research width on the cost - benefit of green and low - carbon technologies in mountainous buildings, conducts application research on the evaluation model, and verifies the scientificity and effectiveness of the model.

[0095] Example 2

[0096] Taking the empirical research on the cost - benefit evaluation of green and low - carbon technologies in a certain mountainous building in Chongqing as an example, the present invention will be further described in conjunction with the attached drawings. The method for evaluating the cost - benefit of green and low - carbon technologies in mountainous buildings based on matter - element extension specifically includes the following steps:

[0097] Step S1: Construct an evaluation index system for the cost - benefit of green and low - carbon technologies in mountainous buildings. Sub - goals are constructed from six dimensions: land saving, material saving, water saving, energy saving, indoor environment, and operation management, and then relevant criteria are set below. Each criterion includes two indicators: payback period and benefit - cost ratio.

[0098] Through literature research and on - site investigation, determine the sub - goals, criteria, and indicators for the cost - benefit evaluation of green and low - carbon technologies in mountainous buildings, as shown in Table 1.

[0099] Table 1 is the evaluation index system for the cost - benefit of green and low - carbon technologies in mountainous buildings:

[0100]

[0101]

[0102] Step S2: Estimate the incremental cost and incremental benefit of green and low - carbon technologies;

[0103] In this example, the network inquiry method is adopted, combined with the market research method, to understand the costs of various green technologies. Combining with the design budget estimate documents of the residential project, the incremental cost of adopting green and low - carbon technologies in Community M is finally obtained. At the same time, analyze the green and low - carbon technologies adopted in this mountainous building, calculate the incremental benefit of each energy - saving technology, and finally calculate the payback period (ΔT) and benefit - cost ratio (ΔCBR) by combining the incremental cost and incremental benefit. Among them, ΔT and ΔCBR can be calculated using the following formulas:

[0104]

[0105] Step S3: Determine the combined weight;

[0106] In this example, 10 experts in the field of mountain architecture were invited to score the questionnaire. The subjective weights of the evaluation indicators were determined using the G1 method, and the objective weights of the evaluation indicators were determined using the entropy weight method. Finally, the method of game theory was used to construct the basic weight vector set, optimize and solve the linear combination weight coefficients, combine the subjective and objective weights, and finally obtain the combined weight coefficients of the indicators in the criterion layer and sub-goal layer and their corresponding comprehensive weights, as shown in Table 2 specifically.

[0107] Table 2 shows the weights based on the combined weighting of game theory:

[0108]

[0109]

[0110] Step S4: Construct a matter-element extension evaluation model for the cost-benefit of green and low-carbon technologies in mountain architecture;

[0111] This example uses multi-level extension evaluation to solve the complex problem of weighting multiple indicators in the criterion layer, sub-goal layer, and goal layer. The specific evaluation process is shown in Figure 2 ;

[0112] According to the characteristics and features of the evaluation matter-elements and relevant standards, the evaluation features are divided into 4 levels: basic level, one-star level, two-star level, and three-star level. Then, the data of the evaluation levels are dimensionless processed to obtain the evaluation level table, as shown in Table 3 specifically;

[0113] Determine the classical domain, joint domain, and matter-elements to be evaluated for the cost-benefit evaluation of green and low-carbon technologies. In the process of determining the matter-elements to be evaluated, due to the difference in the dimensions of the two specific indicators reflecting the cost-benefit of green and low-carbon technologies in mountain architecture in the evaluation index system, it is necessary to standardize the original numerical values. Therefore, in this example, the extreme value method is adopted to perform dimensionless processing on the 8 indicator values obtained in step S2;

[0114] Calculate the correlation degree of the correlation function, and then multiply the weight vector Wi of the index layer, criterion layer, sub-goal layer, and goal layer by its corresponding correlation degree matrix, and perform extension evaluation on the criterion layer, sub-goal layer, and goal layer in turn. The calculation results are as follows:

[0115] A m =W i ×B m ×X m =[0.0163 -0.2458 -0.2580 -0.2681];

[0116] For the goal level, the index belongs to the final level, and it is necessary to calculate its deviation eigenvalue, K J (C i )=maxK J(C i ), it can be seen from the calculation index that the star level of the target is the basic level. The deviation eigenvalue is calculated as: J* = 3.10, J* > 3. Therefore, the belonging level is the basic level, and the degree of this project being at the basic level is high.

[0117] Table 3 Evaluation Grade Table of Green Low-carbon Technology Cost-benefit for Mountain Buildings:

[0118]

[0119] Step S5: Based on the above basic operations, propose the technical process for evaluating the cost-benefit of green low-carbon technology for mountain buildings.

[0120] In this example, the data of the evaluation index of the cost-benefit of the green low-carbon technology of Chongqing M Community is selected as the input data and input into the above-established evaluation model of the cost-benefit of the green low-carbon technology of mountain buildings. Finally, the evaluation grade of the cost-benefit of the green low-carbon technology of Chongqing M Community is output as the basic level.

[0121] The evaluation research on the cost-benefit of the green low-carbon technology of mountain buildings is carried out by using the combined weighting - matter-element extension method. An evaluation model of the cost-benefit of the green low-carbon technology of mountain buildings is constructed, and the cost-benefit evaluation structure of the green low-carbon technology of a certain mountain building in Chongqing is given. The purpose is to promote the green low-carbon process of mountain buildings and promote the development of green low-carbon technologies in mountain buildings. The above is only the preferred implementation manner of the present invention. It should be noted that for those of ordinary skill in the art of this technology, without departing from the technical principle of the present invention, several improvements and deformations can still be made, and these improvements and deformations should also be regarded as the protection scope of the present invention.

Claims

1. A cost-effectiveness evaluation method for green and low-carbon technology for mountain buildings based on matter-element extension is characterized by: The following steps are involved: S1. Construct an evaluation index system for the cost-effectiveness of green and low-carbon technologies for mountain buildings. The evaluation index system includes six sub-target layers: land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, energy saving and energy utilization, indoor environmental quality and operation management. Each sub-target layer has a related criterion layer, and each criterion layer includes two indicators: investment payback period and benefit-cost ratio; S2. Estimate the incremental cost and incremental benefit of the green and low-carbon technology for mountain buildings; S3, using the combined weighting method to determine the weight of each evaluation index in the evaluation index system in S1; S4. Construct a physical-element extension evaluation model and output the evaluation grade.

2. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 1 is characterized in that: The step S2 comprises: S2.

1. Estimate the incremental costs in four areas: land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, and energy saving and energy utilization; S2.

2. Estimate the incremental benefits of land saving and outdoor environment, material saving and green building materials, water saving and water resource utilization, and energy saving and energy utilization.

3. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 1 is characterized in that: The step S3 comprises: S3.1, use G1 method to determine subjective weight; S3.2, use the entropy weight method to determine the objective weight; S3.

3. Using game theory methods, the subjective weight and the objective weight are combined to obtain a combined weight.

4. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 3 is characterized in that: The subjective weight coefficient w of the i-th evaluation index in step S3.1 i The calculation formula is: Among them, w i is the subjective weight coefficient of the i-th evaluation index, m is the number of experts participating in the scoring, s is the expert serial number, is the weighted score given by the s-th expert to the i-th indicator.

5. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 3 is characterized in that: The entropy weight Q of the i-th evaluation index in step S3.2 i The calculation formula is: and Among them, Q i is the entropy weight of the i-th evaluation index, d i is the information entropy value of the i-th evaluation index, and p is the number of evaluation indicators.

6. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 3 is characterized in that: The calculation formula of the final comprehensive weight S1 in step S3.3 is: Among them, S1 is the final comprehensive weight, α1 is the first linear combination coefficient of the game theory method, and α2 is the second linear combination coefficient of the game theory method. is the optimal solution of subjective weight; is the objective weighted optimal solution.

7. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 1 is characterized in that: The step S4 comprises: S4.

1. The evaluation characteristics are divided into four levels: basic, one-star, two-star and three-star; S4.

2. Determine the classic domain for cost-effectiveness evaluation of green and low-carbon technologies; S4.

3. Determine the scope of cost-effectiveness evaluation of green and low-carbon technologies; S4.4, determine the matter-element to be evaluated; S4.

5. Calculate the correlation and comprehensive correlation; S4.

6. For indicators at the same technical level in the evaluation indicator system, calculate the grade variable characteristic value of the indicator to determine the evaluation grade of the evaluation indicator.

8. The cost-effectiveness evaluation method for green and low-carbon technology of mountain buildings based on matter-element extension according to claim 7 is characterized in that: In step S4.4, the matter-element to be evaluated is determined according to the following matrix: Among them, R0 is the object element to be evaluated, N0 represents the cost-effectiveness evaluation level, X 0i represents N0 with respect to c i The value taken, ci is the i-th evaluation index, and n is the number of evaluation indicators.

9. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 7 is characterized in that: The level variable characteristic value J in step S4.5 * The calculation formula is: Among them, J * is the characteristic value of the level variable of thing N, k represents the number of evaluation levels, j is the evaluation level sequence number, Normalize the processing value for the indicator, is the target layer association matrix.

10. The cost-effectiveness evaluation method of green and low-carbon technology for mountain buildings based on matter-element extension according to claim 2 is characterized in that: In step S2.2, the incremental benefits of water saving and water resource utilization are calculated by multiplying the amount of water saved and the water fee, and the incremental benefits of energy saving and energy utilization are calculated by multiplying the amount of energy saved and the energy fee.

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