Near-zero carbon emission park comprehensive evaluation method and system

Abstract

The invention discloses a comprehensive evaluation method and system for a near-zero carbon emission park, and relates to the technical field of carbon emission evaluation, and the method comprises the steps: building an evaluation index system of the near-zero carbon emission park; calculating the weight of each index by adopting a set value iteration-evaluation method and combining a matrix theory; and determining an evaluation result through a multi-level fuzzy comprehensive evaluation method. The evaluation system of the near-zero carbon emission park comprehensive evaluation method provided by the invention covers multiple fields of energy, management and the like. The multi-dimensional design ensures the comprehensiveness and rationality of the evaluation system, so that the evaluation system can comprehensively reflect all aspects of the near-zero carbon park. The operability of the index is enhanced, the practicability of the index and the method in practical application is ensured, and application in engineering practice is facilitated. The index combination weight is determined by adopting a subjective and objective combined set value iteration-evaluation method, and the evaluation process is more scientific and objective by combining a fuzzy comprehensive evaluation calculation method of qualitative and quantitative indexes.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission assessment, and specifically to a comprehensive assessment method and system for a near-zero carbon emission park. Background Art

[0002] There have been a lot of research results on the evaluation index system and methods of Regional Integrated Energy System (RIES). However, there are still some shortcomings in the relevant research: 1) A comprehensive evaluation index system for near-zero carbon emission parks that can be applied to actual engineering evaluation has not yet been fully established. The current RIES evaluation system has differences in coverage and fails to fully consider the unique factors of near-zero carbon parks, resulting in the index setting being unable to meet the needs of effective evaluation of near-zero carbon parks. 2) Existing studies have not explained the meaning of each indicator in detail, nor have they made necessary corrections based on actual conditions, resulting in information duplication between evaluation indicators, and no consideration of longitudinal comparison between indicators. These factors make the existing indicators lack practical evaluation significance. 3) Due to the small number of near-zero carbon parks at present, there is a lack of evaluation models and typical case analysis specifically constructed for near-zero carbon emission parks.

[0003] The fundamental goal of near-zero carbon emissions is to use various low-carbon technologies to achieve zero total greenhouse gas emissions in energy, industry, construction, transportation and other fields within a limited area. At present, various industrial parks have become regional carbon emission hotspots and are the key focus of energy conservation and emission reduction. Researching, building and evaluating near-zero carbon parks can help achieve the "dual carbon" goals.

[0004] In terms of the evaluation index system and methods of regional integrated energy system (RIES), there are currently a large number of research results: 1) Based on the considerations of economy, reliability, energy consumption, and environmental protection, an index evaluation model for the park integrated energy system was constructed, and a multi-criteria evaluation system was established. 2) The HA efficiency was introduced, and the HA efficiency level of each subsystem in the energy system was calculated, and a RIES evaluation index system considering efficiency was proposed from the aspects of economy, energy consumption, environment, and reliability. 3) The "driving force-pressure-state-impact response" model was introduced, and a regional integrated energy system evaluation model based on the variable weight extension cloud model was proposed. 4) An evaluation including three primary indicators of economy, technology, and environmental protection and 14 secondary indicators was constructed. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problems solved by the present invention are: first, a comprehensive evaluation index system applicable to near-zero carbon emission parks has not yet been established, and the existing system does not take into account unique factors and cannot meet the evaluation needs. Secondly, the meaning of the indicators is not explained, there is information duplication, and no vertical comparison is conducted, resulting in insufficient evaluation significance. Finally, there are few near-zero carbon parks, and there is a lack of targeted evaluation models and typical case analysis.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a comprehensive evaluation method for a near-zero carbon emission park, comprising:

[0008] Establish an evaluation index system for near-zero carbon emission parks;

[0009] Calculate the weights of park evaluation indicators;

[0010] The evaluation results are determined through a multi-level fuzzy comprehensive evaluation method.

[0011] As a preferred solution of the comprehensive evaluation method for near-zero carbon emission parks described in the present invention, the evaluation index system includes energy indicators, industrial indicators and management indicators.

[0012] As a preferred scheme of the comprehensive evaluation method of the near-zero carbon emission park described in the present invention, the calculation of the park evaluation index weights includes determining the subjective weights and objective weights of the indicators through the set value iteration-critical method, and calculating the indicator combination weights according to matrix theory.

[0013] As a preferred solution of the comprehensive evaluation method for near-zero carbon emission parks described in the present invention, the subjective weight is expressed as:

[0014]

[0015] The objective weight is expressed as,

[0016]

[0017] The combined weight is expressed as,

[0018]

[0019] The combined weight vector of all indicators is expressed as W = [ω1, ω2, …, ω n ]′.

[0020] As a preferred solution of the comprehensive evaluation method for near-zero carbon emission parks described in the present invention, the multi-level fuzzy comprehensive evaluation method includes calculating qualitative indicators and quantitative indicators to construct a fuzzy comprehensive evaluation model.

[0021] As a preferred scheme of the comprehensive evaluation method of the near-zero carbon emission park described in the present invention, the calculation of qualitative indicators includes dividing the evaluation levels and constructing an evaluation set; determining the corresponding values ​​of different evaluation levels, fuzzy processing the scores, and obtaining the quantitative values ​​of the qualitative indicators.

[0022] As a preferred solution of the comprehensive evaluation method for near-zero carbon emission parks described in the present invention, wherein: determining the evaluation results includes dividing the evaluation levels, constructing an evaluation set, determining the corresponding values ​​of different evaluation levels, and fuzzy processing the scores to obtain the quantitative values ​​of the qualitative indicators;

[0023] Construct the index membership function, normalize the initial result, and obtain the index membership value;

[0024] Construct a trapezoidal distribution membership function for positive definite index, expressed as,

[0025]

[0026] Among them, m is the lower limit of the indicator value that meets the specified requirements; n is the upper limit of the indicator value that meets the specified requirements; if there is no specific evaluation standard interval for the indicator, and the initial calculation result can be directly used as the indicator quantitative value, the indicator value is used as the membership function value, expressed as,

[0027] u(b ij )=b ij

[0028] For the reverse indicator b ij Construct a trapezoidal distribution membership function, expressed as,

[0029]

[0030] The membership values ​​of all indicators after normalization are expressed as B = [b ij ], the final evaluation score matrix F is expressed as,

[0031] F=BW.

[0032] Another object of the present invention is to provide a near-zero carbon emission park comprehensive evaluation system, which can solve the problems of insufficient indicator selection, unreasonable weight calculation and unclear evaluation results in existing evaluation methods by constructing a near-zero carbon emission park comprehensive evaluation system.

[0033] To solve the above technical problems, the present invention provides the following technical solutions: a comprehensive evaluation system for a near-zero carbon emission park, comprising: a system construction module, a weight calculation module and a result evaluation module; the system construction module is used to establish an evaluation index system for a near-zero carbon emission park; the weight calculation module is used to adopt a set value iteration-critical method and combine it with matrix theory to calculate the weight of each indicator; the result evaluation module is used to determine the evaluation result through a multi-level fuzzy comprehensive evaluation method.

[0034] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned near-zero carbon emission park comprehensive assessment method are implemented.

[0035] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned near-zero carbon emission park comprehensive assessment method.

[0036] Beneficial effects of the present invention: The evaluation system of the comprehensive evaluation method for near-zero carbon emission parks provided by the present invention covers multiple fields such as energy and management. This multi-dimensional design ensures the comprehensiveness and rationality of the evaluation system, enabling it to fully reflect all aspects of the near-zero carbon park.

[0037] This patent clarifies the connotation of each indicator and provides calculation methods for some quantitative indicators. This approach not only enhances the operability of the indicators, but also ensures the practicality of the proposed indicators and methods in actual applications, facilitating their application in engineering practice.

[0038] The subjective and objective combination of set value iteration-critical method is used to determine the index combination weight, and the fuzzy comprehensive evaluation calculation method of qualitative and quantitative indicators is combined to make the evaluation process more scientific and objective. This method can effectively reduce the influence of subjective factors on the evaluation results and improve the accuracy of the evaluation.

[0039] The effectiveness of the proposed evaluation model was verified by analyzing the evaluation results of a near-zero-carbon park. This empirical study provides reliable support for the theoretical framework and method of this patent and enhances its credibility in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0041] Figure 1An overall flow chart of a comprehensive evaluation method for a near-zero carbon emission park provided by an embodiment of the present invention.

[0042] Figure 2 The overall structure diagram of a near-zero carbon emission park comprehensive evaluation system provided by the second embodiment of the present invention DETAILED DESCRIPTION

[0043] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0044] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0045] Example 1

[0046] Reference Figure 1 , which is an embodiment of the present invention, provides a method for comprehensive evaluation of a near-zero carbon emission park, including:

[0047] Step (1): Construction of the park evaluation index system

[0048] In order to make the constructed comprehensive evaluation index system more scientific and comprehensive, firstly, by collecting RIES evaluation literature, we screened out indicators with high frequency of occurrence and significant impact on the evaluation value, such as indicators in the fields of energy, industry, and environment, and added indicators in the fields of construction, transportation, and management according to the research object of this article. Then, by consulting experts, we further enriched the number and types of secondary indicators included in the index system. Finally, we conducted a redundancy analysis on the index system and deleted indicators with large information redundancy and difficult data acquisition.

[0049] Energy indicators: 1) Renewable energy consumption ratio: The importance of renewable energy in the park's energy system can be measured by the renewable energy consumption ratio. Near-zero-carbon parks consume typical renewable energy, including solar energy, wind energy, geothermal energy, etc. 2) Clean energy consumption ratio: The purpose of setting the clean energy consumption ratio is to measure the energy structure of the park. The clean energy consumed by the park is defined as low-pollution or non-polluting energy other than renewable energy, including nuclear energy, natural gas, clean coal, etc. 3) Reduction rate of energy consumption per unit of GDP: Energy consumption per unit of GDP refers to the energy consumed by a region to produce 1 unit of GDP. This patent uses the reduction rate of energy consumption per unit of GDP to measure the reduction in the energy consumption per unit of GDP of the park this year compared with the energy consumption per unit of GDP in the previous year.

[0050] Industrial indicators: 1) Proportion of low-carbon industries: Low-carbon industries refer to industries with low carbon emissions during production and consumption, and with characteristics such as low energy consumption and low pollution. 2) Waste heat utilization rate: Waste heat utilization refers to the process of recycling the heat energy contained in solid, liquid, and gaseous substances that are higher than the ambient temperature generated in the industrial production process. 3) Energy consumption level of production equipment: Energy consumption is an important indicator for measuring energy consumption and energy conservation and consumption reduction levels. The energy consumption level of production equipment depends on the total energy consumption of the park, the total output, and the corresponding relationship between the working hours of each equipment and the production time of each single product. The energy consumption level of production equipment reflects the degree of energy utilization in the production activities of the park.

[0051] Management indicators: 1) The degree of perfection of the carbon emission management system: The carbon management system is a comprehensive and documented management system established within the organization through the PDCA (plan, do, check, act) cycle, drawing on the energy management system model and combining the specific requirements of carbon management. For near-zero carbon emission parks, a complete carbon emission management system is an important feature that distinguishes them from ordinary industrial parks. The purpose of establishing a carbon emission management system: to guide carbon emission units, that is, near-zero carbon parks, to reduce the total amount and intensity of carbon emissions as much as possible, and eventually make them close to zero; through the evaluation of this system, continuously improve the carbon management capabilities of the park and improve energy utilization efficiency. 2) The degree of perfection of the carbon emission detection system: The purpose of implementing carbon detection is to realize the dataization and visualization of carbon emissions. The carbon emission detection system should have functions such as online monitoring, carbon accounting, and low-carbon database, and its detection results can provide important decision-making basis for the analysis and management of carbon emissions in the park.

[0052] Step (2): Calculation of park evaluation index weights

[0053] The calculation process of the model is as follows: first, construct an evaluation index system; second, determine the subjective and objective weights of the indicators through the set value iteration-critical method, and calculate the combined weights of the indicators according to the matrix theory; finally, fuzzy process the qualitative and quantitative indicators and conduct a fuzzy comprehensive evaluation of the park.

[0054] 1. Subjective Weight Calculation Based on Set-Valued Iteration

[0055] The set-valued iteration method is a subjective weighting method further developed on the basis of the analytic hierarchy process and the G1 method. Its core is that experts, based on their personal experience, expertise, and preferences, determine the importance degree of the evaluation indicators to be evaluated and rank them.

[0056] Calculation steps of the set-valued iteration method: Invite station experts and select an initial value q that satisfies 1 ≤ q < n; sequentially let l experts (1 ≤ l < L) select the sg most important indicators (s is an integer starting from 1 and incrementing by 1 each time) until n = sg + v (where 0 ≤ v < q) is satisfied; calculate the coverage frequency m(x i ), and perform normalization to obtain the subjective weight w si .

[0057]

[0058] 2. Objective Weight Calculation Based on the Criticism Method

[0059] The criticism method is an objective weighting method superior to the entropy weight method and the standard deviation method. Its characteristic is to focus on variability and conflict, that is, to evaluate indicators based on the objective attributes of the data itself.

[0060] When measuring variability with the standard deviation, the greater the standard deviation, the greater the data fluctuation, and the higher the corresponding weight; when measuring conflict with the correlation coefficient, the greater the correlation coefficient value, the smaller the conflict, and the lower the corresponding weight. The criticism method can reduce the influence of highly correlated indicators, avoid information overlap of indicators, and make the calculated evaluation results more scientific and reasonable.

[0061] Suppose there are n samples to be evaluated and p evaluation indicators, then the original data matrix of the indicators is expressed as:

[0062]

[0063] In the formula: x ji is the value of the i-th indicator of the j-th sample.

[0064] Since it is difficult to quantitatively compare different dimensions, it is necessary to perform dimensionless processing on the data of each indicator. The dimensionless processing methods include normalization and standardization. The disadvantage of standardization processing is that it will make the standard deviations of all indicators the same, and the volatility indicators lose their meaning. Therefore, this patent uses the positive / inverse method in the normalization method for processing.

[0065] For positive indicators:

[0066]

[0067] For negative indicators:

[0068]

[0069] The indicator variability is calculated as follows:

[0070]

[0071] Where: S i is the standard deviation of the ith indicator.

[0072] The calculation method of indicator conflict is as follows:

[0073]

[0074] Where: r ji is the correlation coefficient between indicators j and i.

[0075] The amount of information in the indicator is expressed in C i The larger the value, the greater the influence of the i-th indicator in the indicator system, and the higher the weight to be assigned. The calculation method is as follows:

[0076]

[0077] Therefore, the objective weight of the i-th indicator is:

[0078]

[0079] 3. Combination weight calculation

[0080] According to the basic theory of matrix theory, the relative importance of subjective and objective weights is calculated first, and then the subjective and objective combined weights are calculated.

[0081] Assume that the relative importance of subjective index weight is η i , the relative importance of the objective indicator weight is λ i , then the relationship coefficient η of the subjective and objective weights of the indicator i , i It is expressed as:

[0082]

[0083] Where: k is the dimension of the normalized feature vector.

[0084] The weight of subjective and objective combination is:

[0085]

[0086] At this time, the combined weight vector of all indicators is expressed as W = [ω1, ω2, …, ω n ]′.

[0087] Step (3): Comprehensive evaluation model of the park

[0088] The evaluation index system of near-zero carbon emission parks constructed in this paper has a certain degree of fuzziness. Considering that multi-level fuzzy comprehensive evaluation can better balance the uncertainty of subjective decision-making and the fuzziness of objective data, this paper adopts the method of multi-level fuzzy comprehensive evaluation to evaluate near-zero carbon parks: first, calculate the evaluation index, and process the data of indicators of different natures such as qualitative, quantitative indicators, positive and negative indicators: secondly, construct a fuzzy comprehensive evaluation model and calculate the final evaluation results.

[0089] 1. Calculation of qualitative indicators

[0090] First, the evaluation levels are divided and the evaluation set is constructed. Second, the corresponding values ​​of different evaluation levels are determined. To ensure the consistency of calculation, the value range is set to [0,1]. Finally, the score is fuzzy processed to obtain the quantitative value of the qualitative indicator.

[0091] The evaluation of qualitative indicators is divided into 5 evaluation levels, namely V = {v1, v2, v3, v4, v5} = {excellent, good, medium, pass, fail}. The corresponding values ​​of different evaluation levels in V are set as 1.00, 0.85, 0.70, 0.55, and 0.40 respectively. Invite relevant industry experts to score the corresponding indicators of the near-zero carbon emission park to be evaluated, and use the arithmetic mean value as the membership value of the qualitative indicator.

[0092] 2. Quantitative indicator calculation

[0093] Based on the actual operation data of the near-zero carbon park to be evaluated, the initial results of the quantitative indicators are calculated. The indicator membership function is constructed, and the initial results are normalized to obtain the indicator membership value.

[0094] Construct a trapezoidal distribution membership function for positive definite indices:

[0095]

[0096] Where: m is the lower limit of the indicator value that meets the specified requirements; n is the upper limit of the indicator value that meets the specified requirements.

[0097] If there is no specific evaluation standard interval for the indicator, and the initial calculation result can be directly used as the indicator quantification value, the indicator value is used as the membership function value:

[0098] u(b ij )=b ij #(13)

[0099] For the reverse indicator b ij Construct a trapezoidal distribution membership function:

[0100]

[0101] 3) Comprehensive evaluation

[0102] The membership values ​​of all indicators after normalization are expressed as B = [b ij ]. The final evaluation score matrix F is:

[0103] F=BW#(15

[0104] For example, if the comprehensive evaluation of a certain park is 0.674, then the overall evaluation of the park is passing, and the same applies to the first-level indicators.

[0105] It should be noted that the evaluation system includes indicators in multiple fields such as energy and management, ensuring that the evaluation system architecture is comprehensive and reasonable. The connotation of each indicator is clarified, and the calculation method of some quantitative indicators is given, thus ensuring the practicality of the indicators and methods proposed in this paper. The set value iteration-critical method combining subjective and objective factors is used to determine the combination weight of indicators, and the fuzzy comprehensive evaluation calculation method of qualitative and quantitative indicators is adopted. The evaluation results of a near-zero carbon park verify the effectiveness of the evaluation model proposed in this paper.

[0106] Example 2

[0107] Reference Figure 2 , which is an embodiment of the present invention, provides a near-zero carbon emission park comprehensive evaluation system, including:

[0108] System construction module 100, weight calculation module 200 and result evaluation module 300;

[0109] The system construction module 100 is used to establish an evaluation index system for a near-zero carbon emission park;

[0110] The weight calculation module 200 is used to calculate the weight of each indicator by using the set value iteration-critique method and combining it with matrix theory;

[0111] The result evaluation module 300 is used to determine the evaluation result through a multi-level fuzzy comprehensive evaluation method.

[0112] Example 3

[0113] An embodiment of the present invention is different from the first two embodiments in that:

[0114] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0115] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0116] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0117] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0118] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A comprehensive evaluation method for near-zero carbon emission parks, characterized in that: include: Establish an evaluation index system for near-zero carbon emission parks; Calculate the weights of park evaluation indicators; The evaluation results are determined through a multi-level fuzzy comprehensive evaluation method.

2. The comprehensive evaluation method for near-zero carbon emission parks according to claim 1, characterized in that: The evaluation index system includes energy index, industrial index and management index.

3. The comprehensive evaluation method for near-zero carbon emission parks according to claim 2 is characterized in that: The calculation of the park evaluation index weights includes determining the subjective weights and objective weights of the indexes through set value iteration-critical method, and calculating the index combination weights according to matrix theory.

4. The comprehensive evaluation method for near-zero carbon emission parks according to claim 3 is characterized by: The subjective weight is expressed as, The objective weight is expressed as, The combined weight is expressed as, The combined weight vector of all indicators is expressed as W = [ω1, ω2, …, ω n ]'.

5. The comprehensive evaluation method for near-zero carbon emission parks according to claim 4, characterized in that: The multi-level fuzzy comprehensive evaluation method includes calculating qualitative indicators and quantitative indicators and constructing a fuzzy comprehensive evaluation model.

6. The comprehensive evaluation method for near-zero carbon emission parks according to claim 5, characterized in that: The calculation of the qualitative index includes dividing the evaluation levels and constructing the evaluation set; determining the corresponding values ​​of different evaluation levels, performing fuzzy processing on the scores, and obtaining the quantitative values ​​of the qualitative index.

7. The comprehensive evaluation method for near-zero carbon emission parks according to claim 6, characterized in that: Determining the evaluation results includes dividing the evaluation levels, constructing the evaluation set, determining the corresponding values ​​of different evaluation levels, and performing fuzzy processing on the scores to obtain the quantitative values ​​of the qualitative indicators; Construct the index membership function, normalize the initial result, and obtain the index membership value; Construct a trapezoidal distribution membership function for positive definite index, expressed as, Among them, m is the lower limit of the indicator value that meets the specified requirements; n is the upper limit of the indicator value that meets the specified requirements; if there is no specific evaluation standard interval for the indicator, and the initial calculation result can be directly used as the indicator quantitative value, the indicator value is used as the membership function value, expressed as, u(b ij )=b ij For the reverse indicator b ij Construct a trapezoidal distribution membership function, expressed as, The membership values ​​of all indicators after normalization are expressed as B = [b ij ], the final evaluation score matrix F is expressed as, F=BW.

8. A system using the comprehensive evaluation method for near-zero carbon emission parks as described in any one of claims 1 to 7, characterized in that: include: A system construction module (100), a weight calculation module (200) and a result evaluation module (300); The system construction module (100) is used to establish an evaluation index system for a near-zero carbon emission park; The weight calculation module (200) is used to calculate the weight of each indicator by using a set value iteration-critique method combined with matrix theory; The result evaluation module (300) is used to determine the evaluation result through a multi-level fuzzy comprehensive evaluation method.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the near-zero carbon emission park comprehensive assessment method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the comprehensive evaluation method for a near-zero carbon emission park according to any one of claims 1 to 7 are implemented.

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