Subway civil engineering design scheme evaluation method based on carbon emission and related device

Abstract

The invention belongs to the technical field of metro station low-carbon construction, and discloses a metro civil engineering design scheme evaluation method based on carbon emission and a related device, and the method comprises the steps: obtaining a metro station low-carbon construction comprehensive evaluation index; based on the project quota and the to-be-evaluated design scheme, determining original data of subway station low-carbon construction comprehensive evaluation indexes corresponding to different design schemes; using an entropy weight-Topsis algorithm to calculate the relative closeness of different design schemes according to the original data of the subway station low-carbon construction comprehensive evaluation indexes corresponding to the different design schemes; sorting the relative closeness of the design schemes, and obtaining an optimal subway civil engineering design scheme according to a sorting result; according to the method, the entropy weight-Topsis algorithm is utilized to evaluate the design scheme, so that the interference of subjective factors is avoided, and the objectivity of an evaluation result is effectively ensured; and meanwhile, the mutual influence between different indexes can be comprehensively considered, and the accuracy of the evaluation result is effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of low-carbon construction of subway stations, relates to a construction design scheme evaluation technology based on carbon emissions, and in particular to a subway civil engineering design scheme evaluation method based on carbon emissions and related devices. Background Art

[0002] With the introduction of the concept of green subway construction, low-carbon construction evaluation technology for subway stations has gradually emerged. In the planning and design stage of subway stations, the evaluation of subway design schemes through carbon emissions to select the subway civil engineering design scheme with the best carbon emissions is the fundamental way to achieve green construction of subway stations. However, the existing low-carbon construction evaluation schemes for subway stations mainly focus on the quantitative calculation of carbon footprint during the construction stage, which cannot be directly applied to the evaluation of subway design schemes through carbon emissions. In addition, the existing evaluation schemes have too much calculation and a large number of indicators need to be estimated. The accuracy of the evaluation results is low and lacks guiding significance. Summary of the invention

[0003] In view of the technical problems existing in the prior art, the present invention provides a subway civil engineering design scheme evaluation method based on carbon emissions and related devices to solve the technical problems that the existing subway station low-carbon construction evaluation scheme cannot be directly applied to the evaluation of subway design schemes through carbon emissions, and the existing evaluation scheme has excessive calculation complexity, a large number of indicators need to be estimated, and the accuracy of the evaluation results is low.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] The present invention provides a method for evaluating subway civil engineering design schemes based on carbon emissions, comprising:

[0006] Obtain comprehensive evaluation indicators for low-carbon construction of subway stations;

[0007] Based on the engineering quota and the design scheme to be evaluated, determine the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes;

[0008] Using the entropy weight-Topsis algorithm, the relative closeness of different design schemes is calculated based on the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes;

[0009] The relative closeness of the design schemes is sorted, and the optimal subway civil engineering design scheme is obtained according to the sorting results.

[0010] Furthermore, the comprehensive evaluation indexes of low-carbon construction of subway stations include pressure layer indexes, state layer indexes and response layer indexes;

[0011] Among them, the pressure layer indicators include the consumption intensity of ready-mixed concrete P1, the steel consumption intensity P2, the energy consumption intensity P3, the electricity consumption intensity P4 and the water resource consumption intensity P5; the state layer indicators include the carbon footprint intensity S1 of ready-mixed concrete use, the carbon footprint intensity S2 of steel use, the carbon footprint intensity S3 of energy use, the carbon footprint intensity S4 of electricity use, the carbon footprint intensity S5 per unit of building area, the carbon footprint intensity S6 per unit of construction cost and the amount of waste earth and stone S7; the response layer indicators include the application degree of low-carbon design scheme R1, project investment R2, low-carbon environmental protection management measures R3 and low-carbon construction machinery selection R4.

[0012] Furthermore, the entropy weight-Topsis algorithm is used to calculate the relative closeness of different design schemes according to the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes. The specific process is as follows:

[0013] The entropy weight method is used to determine the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations;

[0014] According to the entropy weights of the comprehensive evaluation indicators of low-carbon construction of subway stations and the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes, a weighted normalized matrix X of the evaluation indicators is constructed;

[0015] According to the weighted normalized matrix X of the evaluation index, determine the positive ideal solution X of the evaluation scheme + and negative ideal solution X - ;

[0016] According to the positive ideal solution of the evaluation scheme X + and negative ideal solution X - , calculate the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution;

[0017] According to the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution, the relative closeness of each scheme to be evaluated is calculated;

[0018] The relative closeness c of each evaluation scheme i Sort from large to small and select the relative closeness c i The largest design solution, get the best subway civil engineering design solution.

[0019] Furthermore, the entropy weight method is used to determine the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations. The details are as follows:

[0020] According to the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to the different design schemes, an original data matrix R is constructed;

[0021] Performing dimensionless processing on the original data matrix R to obtain a dimensionless processed matrix;

[0022] Calculating the information entropy of each evaluation index according to the dimensionless matrix;

[0023] According to the information entropy of the evaluation indicators, the entropy weight of the comprehensive evaluation indicators for low-carbon construction of subway stations is calculated.

[0024] Furthermore, the calculation process of the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations is as follows:

[0025]

[0026] Among them, ω j is the entropy weight of the comprehensive evaluation index of low-carbon construction of the j-th subway station; e j is the information entropy of the comprehensive evaluation index of low-carbon construction of the jth subway station; k is the coefficient related to the number of comprehensive evaluation indicators; R i ' j is the weight of each comprehensive evaluation index after standardization; n is the number of comprehensive evaluation indicators for low-carbon construction of subway stations.

[0027] Furthermore, the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution is:

[0028]

[0029] in, is the Euclidean distance between the i-th solution to be evaluated and the positive ideal solution; r ij is the weighted normalized value of the i-th scheme to be evaluated under the j-th evaluation index; is the positive ideal solution of the i-th scheme to be evaluated under the j-th evaluation index; m is the number of schemes to be evaluated; is the Euclidean distance between the i-th solution to be evaluated and the negative ideal solution; is the negative ideal solution of the i-th evaluated solution under the j-th evaluation index.

[0030] Furthermore, the calculation process of the relative closeness of each scheme to be evaluated is:

[0031]

[0032] Among them, c i is the relative closeness of the i-th scheme to be evaluated; is the Euclidean distance between the i-th solution to be evaluated and the positive ideal solution; is the Euclidean distance between the i-th solution to be evaluated and the negative ideal solution.

[0033] The present invention also provides a subway civil engineering design scheme evaluation system based on carbon emissions, comprising:

[0034] Index determination module, used to obtain comprehensive evaluation indicators for low-carbon construction of subway stations;

[0035] The original data acquisition module is used to determine the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes based on the engineering quota and the design scheme to be evaluated;

[0036] The closeness calculation module is used to calculate the relative closeness of different design schemes based on the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes by using the entropy weight-Topsis algorithm;

[0037] The result output module is used to sort the relative closeness of the design schemes and obtain the optimal subway civil engineering design scheme based on the sorting results.

[0038] The present invention also provides a subway civil engineering design scheme evaluation device based on carbon emissions, comprising:

[0039] Memory for storing computer programs;

[0040] A processor is used to implement the steps of the method for evaluating subway civil engineering design schemes based on carbon emissions when executing the computer program.

[0041] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of implementing the method for evaluating subway civil engineering design schemes based on carbon emissions are implemented.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The carbon emission-based subway construction method evaluation method provided by the present invention uses the entropy weight-Topsis algorithm and calculates the relative closeness of different design schemes according to the original data of the subway station low-carbon construction comprehensive evaluation index corresponding to different design schemes; by sorting the relative closeness of different design schemes, the subway civil engineering design schemes are sorted based on carbon emissions, and then the optimal subway civil engineering design scheme is obtained; the calculation process of the present invention is simple, and the original data is determined based on the engineering quota and the design scheme to be evaluated, so that the evaluation process has strong operability; the entropy weight-Topsis algorithm is used to evaluate the design scheme, which avoids the interference of subjective factors and effectively ensures the objectivity of the evaluation result; at the same time, the mutual influence between different indicators can be comprehensively considered to effectively improve the accuracy of the evaluation result. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flow chart of the method for evaluating subway civil engineering design solutions based on carbon emissions described in the present invention. DETAILED DESCRIPTION

[0045] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail in the following specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0046] As attached Figure 1 As shown, the present invention provides a method for evaluating subway civil engineering design schemes based on carbon emissions, comprising the following steps:

[0047] Step 1: Construct a comprehensive evaluation index system for low-carbon construction of subway stations, wherein the comprehensive evaluation index system for low-carbon construction of subway stations includes a pressure index layer, a state index layer and a response index layer.

[0048] Specifically, based on the basic logic of the PSR model, a comprehensive evaluation index system for subway station and subway construction is constructed; wherein the steps of the construction process are as follows:

[0049] Step 11: Select pressure indicators to obtain a pressure indicator layer.

[0050] Pressure index refers to the power source of low-carbon construction of subway station projects, which is the main factor causing changes in the low-carbon construction level of subway stations; the quantitative analysis results of the carbon footprint of the subway station in the materialization stage show that the carbon footprint of the subway station in the materialization stage mainly comes from the use of ready-mixed concrete, steel and cement; in addition, in the construction process of subway stations, the consumption of gasoline, diesel and electricity is also one of the major sources of carbon footprint; the consumption of fossil and electric energy, the choice of construction methods, and the selection of high-efficiency engineering machinery, these factors all profoundly affect the low-carbon construction level of subway stations; therefore, the present invention selects the pressure index shown in Table 1 to construct a pressure index layer to incorporate it into the low-carbon construction evaluation system of subway station projects.

[0051] Table 1 Selection of pressure indicators in the pressure indicator layer

[0052]

[0053] It should be noted that in the construction of subway stations, the consumption intensity of ready-mixed concrete P1 is the ratio of the total consumption of ready-mixed concrete in the subway station to the building area of ​​the subway station; the consumption intensity of steel P2 is the ratio of the total amount of various types of steel used in the construction of the subway station to the building area of ​​the subway station; the energy consumption intensity P3 is that the transportation of construction materials and the use of mechanical equipment in the construction process of the subway station consume a large amount of fossil energy such as gasoline and diesel; among them, the energy consumption intensity P3 can be calculated by the ratio of the total amount of various types of energy used in the construction process of the subway station to the building area of ​​the subway station; the electricity consumption intensity P4 is that in addition to the use of fossil energy, a large amount of electricity is also consumed in the construction process of the subway station; among them, electricity is a clean energy, and the use of electricity can bring less carbon emissions than fossil energy; the electricity consumption intensity P 4 can be calculated by the ratio of the total electricity consumption in the subway station construction process to the subway station building area; water resource consumption intensity P5 means that the subway station construction process consumes a lot of water resources and also produces a lot of wastewater; among them, water resource consumption intensity P5 is the ratio of the total water consumption in the subway station construction process to the subway station building area; secondly, the difficulty of underground pipeline relocation is that the construction of subway stations will inevitably involve the construction of underground pipeline relocation. The complex pipeline relocation plan will seriously restrict the progress of the subway station project and increase the greenhouse gas emissions of the subway station construction. As a qualitative indicator, the difficulty of underground pipeline relocation is divided into five levels: difficult (0, 0.2], difficult (0.2, 0.4], general (0.4, 0.6], easy (0.6, 0.8], easy (0.8, 1.0].

[0054] Step 12: Select the status indicator and obtain the status indicator layer.

[0055] The state index is used to measure the feedback of the environment to "pressure", which is the negative impact of subway station construction on the surrounding environment. Changes in "state" indicators will cause changes in the level of low-carbon construction of subway stations; the present invention selects the state indicators shown in Table 2 to construct a state indicator layer to incorporate it into the low-carbon construction evaluation system of subway station projects.

[0056] Table 2 Selection of status indicators in the status indicator layer

[0057]

[0058] It should be noted that the carbon emission intensity of ready-mixed concrete S1 refers to the fact that there are a lot of greenhouse gas emissions in the whole process of production, transportation and use of ready-mixed concrete. The carbon emission intensity of ready-mixed concrete S1 is the ratio of the total carbon footprint of ready-mixed concrete in the subway station to the building area of ​​the subway station; the carbon footprint intensity of steel use S2 refers to the steel used in the construction process of the subway station, including various types of steel bars and steel sections. The carbon footprint intensity of steel use S2 is the ratio of the total carbon footprint formed by the use of various types of steel in the construction process of the subway station to the building area of ​​the subway station. ; The carbon footprint intensity of energy use S3 and the carbon footprint intensity of electricity use S4 can be calculated by the ratio of the total carbon footprint formed by the use of various types of energy and electricity in the construction stage of the subway station to the building area of ​​the subway station; the carbon footprint intensity per unit building area S5 is used to reflect the overall level of low-carbon construction of the subway station; the carbon footprint intensity per unit cost S6 is calculated by the ratio of the total carbon footprint of the subway station construction to the total building area of ​​the subway station; the volume of abandoned earth and stone S7 is the amount of construction waste such as abandoned earth and stone generated during the construction of the subway station.

[0059] Step 13: Select response indicators and obtain a response indicator layer.

[0060] Response indicators are measures taken to reduce the "pressure" of subway station construction on the environment and to alleviate the negative impact of "pressure" on the environment. The present invention selects the response indicators shown in Table 3 to construct a response indicator layer to incorporate it into the low-carbon construction evaluation system of subway station projects.

[0061] Table 3 Selection of response indicators in the response indicator layer

[0062]

[0063]

[0064] It should be noted that the application degree of low-carbon design scheme R1 is specifically: in the process of subway station construction, the use of efficient and energy-saving technologies and processes can effectively reduce the waste of materials and energy; for example: the recycling of steel, mud purification treatment, and the reuse of turnover materials are effective means to reduce the carbon footprint of subway station construction; the application degree of low-carbon design scheme R1, as a qualitative evaluation indicator, can more comprehensively reflect the level of low-carbon construction of subway stations; as a qualitative indicator, the application degree of low-carbon design scheme is divided into five levels: poor (0, 0.2], poor (0.2, 0.4], general (0.4, 0.6], good (0.6, 0.8], good (0.8, 1.0]); project investment R2, that is, economic benefits, is one of the important bases for the selection of subway station design schemes; under the premise of ensuring project safety, good economic benefits can enhance the competitiveness of low-carbon construction schemes for subway stations; low-carbon environmental protection management measures R3 are specifically: effective measures should be taken to reduce construction noise pollution during the construction of subway stations, and waste mud must be recycled. It must be discharged after sedimentation treatment to meet the standards. Construction sites should be covered and enclosed to reduce dust pollution. Low-carbon environmental protection management measures R3 is a qualitative indicator. Low-carbon environmental protection management measures are divided into five levels: poor (0, 0.2], poor (0.2, 0.4], general (0.4, 0.6], good (0.6, 0.8], and good (0.8, 1.0). (4) The degree of use of low-carbon construction machinery: The construction machinery used in the construction of subway stations consumes a lot of gasoline and diesel. In addition, most of them After high-intensity use, construction machinery may increase its energy consumption and exceed pollutant emissions. Choose construction machinery and equipment that meet emission standards, give priority to electricity-powered machinery and equipment, perform maintenance on machinery and equipment in a timely manner, and eliminate old equipment that does not meet emission standards and is inefficient. As a qualitative indicator, the degree of use of low-carbon construction machinery is divided into five levels: poor (0, 0.2], poor (0.2, 0.4], general (0.4, 0.6], better (0.6, 0.8], and good (0.8, 1.0].

[0065] Step 14: According to the causal logic of the pressure index layer, state index layer and response index layer constructed in steps 11-13, a detailed analysis is conducted on the main sources of carbon footprint of the subway station in the materialization stage and the construction characteristics of the subway station. Based on the index system construction principles, a comprehensive evaluation index system for low-carbon construction of subway stations is constructed, as shown in Table 4 below:

[0066] Table 4 Comprehensive evaluation index system for low-carbon construction of subway stations

[0067]

[0068] Step 2, from the comprehensive evaluation index system of low-carbon construction of subway stations, obtain comprehensive evaluation indexes of low-carbon construction of subway stations; wherein, the comprehensive evaluation indexes of low-carbon construction of subway stations include pressure layer indexes, state layer indexes and response layer indexes; wherein, the pressure layer indexes include ready-mixed concrete consumption intensity P1, steel consumption intensity P2, energy consumption intensity P3, electricity consumption intensity P4 and water resource consumption intensity P5; the state layer indexes include carbon footprint intensity S1 of ready-mixed concrete use, carbon footprint intensity S2 of steel use, carbon footprint intensity S3 of energy use, carbon footprint intensity S4 of electricity use, carbon footprint intensity S5 of unit building area, carbon footprint intensity S6 of unit construction cost and waste earthwork volume S7; the response layer indexes include the application degree of low-carbon design scheme R1, project investment R2, low-carbon environmental protection management measures R3 and selection of low-carbon construction machinery and tools R4.

[0069] It should be noted that the comprehensive evaluation index system for low-carbon construction of subway stations includes a total of 17 evaluation indicators, including 13 quantitative evaluation indicators and 4 qualitative indicators. The values ​​of quantitative evaluation indicators in the comprehensive evaluation index system for low-carbon construction of subway stations should be calculated based on the carbon footprint measurement results of the case engineering materialization stage, while the quantitative indicators that cannot be directly calculated should be determined based on the preset evaluation index grade standards. In the present invention, the comprehensive evaluation index system for low-carbon construction of subway stations with quantitative indicators as the main and qualitative indicators as the auxiliary can avoid the interference of subjective factors and ensure the scientificity, comprehensiveness and rationality of the comprehensive evaluation of low-carbon construction of subway stations.

[0070] Step 3: Use the entropy weight method to determine the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations. It should be noted that the entropy weight method is an objective weighting method that uses the entropy value of each indicator to reflect the amount of information provided by the evaluation indicator to determine its weight; the process of driving the entropy weight of the comprehensive evaluation index of subway station subway construction is as follows:

[0071] Step 31: Based on the engineering quota and the design scheme to be evaluated, determine the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes.

[0072] Step 32: construct an original data matrix R according to the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to the different design schemes; wherein the original data matrix R is specifically:

[0073]

[0074] Among them, r mn is the nth evaluation index in the mth design scheme; m is the total number of design schemes; n is the total number of evaluation indicators in each design scheme.

[0075] Step 33: perform dimensionless processing on the original data matrix R to obtain a dimensionless matrix; wherein, for the evaluation indicators with positive indicator directions in the comprehensive evaluation index system for low-carbon construction of subway stations, the dimensionless processing is performed as follows:

[0076]

[0077] Among them, R i ' j is the weight of each comprehensive evaluation index after standardization; R ij is the value of the i-th scheme to be evaluated under the j-th evaluation index.

[0078] For the negative evaluation indicators in the comprehensive evaluation index system for low-carbon construction of subway stations, dimensionless processing is performed as follows:

[0079]

[0080] Among them, R i ' j is the weight of each comprehensive evaluation index after standardization; R ij is the value of the i-th scheme to be evaluated under the j-th evaluation index.

[0081] Step 34: Calculate the information entropy e of each evaluation index according to the dimensionless matrix. j ; Among them, the information entropy of each evaluation index is specifically:

[0082]

[0083] Among them, ω j is the entropy weight of the comprehensive evaluation index of low-carbon construction of the j-th subway station; e j is the information entropy of the comprehensive evaluation index of low-carbon construction of the jth subway station; k is the coefficient related to the number of comprehensive evaluation indicators; R i ' j is the weight of each comprehensive evaluation index after standardization; n is the number of comprehensive evaluation indicators for low-carbon construction of subway stations.

[0084] Step 35: Calculate the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations according to the information entropy of each evaluation index; wherein the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations is:

[0085]

[0086] Among them, ω j is the entropy weight of the comprehensive evaluation index of low-carbon construction of the j-th subway station.

[0087] Step 4: construct a weighted normalized matrix X of evaluation indicators based on the entropy weights of the comprehensive evaluation indicators of low-carbon construction of subway stations and the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes. The weighted normalized matrix X of evaluation indicators is specifically:

[0088]

[0089] Wherein, X is the weighted normalized matrix of the evaluation index; ω n is the indicator weight; r m ' n is the initial matrix after normalization.

[0090] Step 5: Determine the positive ideal solution X of the evaluation scheme according to the weighted normalized matrix X of the evaluation index. + and negative ideal solution X - ; Among them, determine the positive ideal solution X of the evaluation scheme + and negative ideal solution X - The process is as follows:

[0091] For the positive ideal solution X + :

[0092] When j is a positive indicator,

[0093] When j is a negative indicator,

[0094] For the negative ideal solution X - :

[0095] When j is a positive indicator,

[0096] When j is a negative indicator,

[0097] in, is a positive ideal solution; X ij is the weighted standardized value matrix of the i-th scheme to be evaluated under the j-th evaluation index; is a negative ideal solution.

[0098] Step 6: According to the positive ideal solution X of the evaluation scheme + and negative ideal solution X - , calculate the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution; wherein the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution is:

[0099]

[0100] in, is the Euclidean distance between the i-th solution to be evaluated and the positive ideal solution; r ij is the weighted normalized value of the i-th scheme to be evaluated under the j-th evaluation index; is the positive ideal solution of the i-th scheme to be evaluated under the j-th evaluation index; m is the number of schemes to be evaluated; d i - is the Euclidean distance between the i-th solution to be evaluated and the negative ideal solution; is the negative ideal solution of the i-th evaluated solution under the j-th evaluation index.

[0101] Step 7: Calculate the relative closeness of each scheme to be evaluated based on the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution; wherein the relative closeness of each scheme to be evaluated is specifically:

[0102]

[0103] Among them, c i is the relative closeness of the i-th scheme to be evaluated; is the Euclidean distance between the i-th solution to be evaluated and the positive ideal solution; is the Euclidean distance between the i-th solution to be evaluated and the negative ideal solution.

[0104] Step 8: The relative closeness c of each evaluation scheme i Sort from large to small and select the relative closeness c i The largest design scheme is used to obtain the optimal subway civil engineering design scheme; it should be noted that the relative closeness of the evaluation scheme c i The larger the value is, the closer the scheme is to the Euclidean distance of the positive ideal solution, and the better the evaluation scheme is.

[0105] It should be noted that, in the process of calculating the relative closeness of different design schemes using the entropy weight-Topsis algorithm according to the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes, the Topsis algorithm, namely the "approximate ideal solution sorting method", is based on the normalized original data matrix, calculates the ideal solution in the scheme to be evaluated, measures the Euclidean distance between the evaluation object and the positive ideal solution and the negative ideal solution and sorts them, measures the relative closeness between the evaluation object and the optimal solution and the worst solution, and evaluates the pros and cons of each scheme; among them, the Topsis algorithm has no strict restrictions on the sample size of the data, the number of indicators, etc., and the calculation is relatively simple.

[0106] Step 9: Identify the obstacles that affect the low-carbon construction level of subway stations.

[0107] Specifically, for the evaluation of low-carbon construction of subway stations, in addition to evaluating the low-carbon construction level of subway stations, it is also to identify the obstacle factors that affect the low-carbon construction level of subway stations, so as to formulate corresponding strategies to improve the low-carbon construction level of subway stations; in order to analyze the obstacle factors that affect the low-carbon construction level of subway stations, the obstacle degree model is introduced to analyze the obstacle factors in the comprehensive evaluation index system of low-carbon construction of subway stations; the diagnostic analysis of obstacle degree mainly uses three indicators: factor contribution, indicator deviation and obstacle degree; among them, factor contribution degree represents the contribution of a single indicator to the overall goal, indicator deviation degree represents the difference between the actual value of the indicator and the optimal value, and obstacle degree reflects the influence of various low-carbon construction evaluation indicators on the low-carbon construction level of subway stations.

[0108] Among them, the index deviation I ij and obstacle degree O ij The calculation formulas are as follows:

[0109] I ij =1-R ij '

[0110]

[0111] Among them, I ij is the index deviation; ij is the obstacle degree; R i ' j It is a positive indicator or a negative indicator that is dimensionless in the low-carbon construction evaluation index system; ij The entropy weight is the comprehensive evaluation index for low-carbon construction of subway stations.

[0112] The carbon emission-based subway civil engineering design scheme evaluation method described in the present invention determines the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes based on the engineering quota and the design scheme to be evaluated, so that the evaluation process has strong operability; the entropy weight-Topsis algorithm is used and the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes are used to calculate the relative closeness of different design schemes, thereby avoiding the interference of subjective factors and effectively ensuring the objectivity of the evaluation results; at the same time, the mutual influence between different indicators can be comprehensively considered to effectively improve the accuracy of the evaluation results; by sorting the relative closeness of different design schemes, the subway civil engineering design schemes are sorted based on carbon emissions, and then the optimal subway civil engineering design scheme is obtained.

[0113] The present invention also provides a subway civil engineering design scheme evaluation method based on carbon emissions, including an index system construction module, a comprehensive evaluation index acquisition module, an entropy weight calculation module, a weighted normalization module, an ideal solution calculation module, a Euclidean distance calculation module, a proximity calculation module, a result output module and an obstacle factor identification module.

[0114] An index system construction module is used to construct a comprehensive evaluation index system for low-carbon construction of subway stations; a comprehensive evaluation index acquisition module is used to obtain comprehensive evaluation indicators for low-carbon construction of subway stations from the comprehensive evaluation index system for low-carbon construction of subway stations; an entropy weight calculation module is used to determine the entropy weight of the comprehensive evaluation indicators for low-carbon construction of subway stations by using the entropy weight method; a weighted normalization module is used to construct a weighted normalization matrix of evaluation indicators based on the entropy weight of the comprehensive evaluation indicators for low-carbon construction of subway stations and the original data of the comprehensive evaluation indicators for low-carbon construction of subway stations corresponding to different design schemes; an ideal solution calculation module is used to calculate the weighted normalization matrix of the evaluation indicators based on the weighted normalization matrix of the evaluation indicators A matrix is ​​used to determine the positive ideal solution and the negative ideal solution of the evaluation scheme; a Euclidean distance calculation module is used to calculate the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution according to the positive ideal solution and the negative ideal solution of the evaluation scheme; a closeness calculation module is used to calculate the relative closeness of each scheme to be evaluated according to the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution; a result output module is used to sort the relative closeness of each evaluation scheme from large to small, select the design scheme with the largest relative closeness, and obtain the optimal subway civil engineering design scheme; an obstacle factor identification module is used to identify the obstacle factors that affect the low-carbon construction level of subway stations.

[0115] The present invention also provides a subway civil engineering design scheme evaluation device based on carbon emissions, including: a memory for storing a computer program; a processor for implementing the steps of a subway civil engineering design scheme evaluation method based on carbon emissions when executing the computer program.

[0116] When the processor executes the computer program, the steps of the above-mentioned subway civil engineering design scheme evaluation method based on carbon emissions are implemented, for example: constructing a comprehensive evaluation index system for low-carbon construction of subway stations; obtaining comprehensive evaluation indicators for low-carbon construction of subway stations from the comprehensive evaluation index system for low-carbon construction of subway stations; using the entropy weight method to determine the entropy weight of the comprehensive evaluation index for low-carbon construction of subway stations; constructing a weighted normalized matrix of evaluation indicators based on the entropy weight of the comprehensive evaluation index for low-carbon construction of subway stations and the original data of the comprehensive evaluation index for low-carbon construction of subway stations corresponding to different design schemes; determining the positive ideal solution and the negative ideal solution of the evaluation scheme based on the weighted normalized matrix of evaluation indicators; calculating the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution based on the positive ideal solution and the negative ideal solution of the evaluation scheme; calculating the relative closeness of each scheme to be evaluated based on the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution; sorting the relative closeness of each evaluation scheme from large to small, selecting the design scheme with the largest relative closeness, and obtaining the optimal subway civil engineering design scheme; identifying the obstacle factors affecting the low-carbon construction level of subway stations.

[0117] Alternatively, when the processor executes the computer program, the functions of each module in the above system are realized, for example: an indicator system construction module, which is used to construct a comprehensive evaluation indicator system for low-carbon construction of subway stations; a comprehensive evaluation indicator acquisition module, which is used to obtain comprehensive evaluation indicators for low-carbon construction of subway stations from the comprehensive evaluation indicator system for low-carbon construction of subway stations; an entropy weight calculation module, which is used to determine the entropy weight of the comprehensive evaluation indicator for low-carbon construction of subway stations by using the entropy weight method; a weighted normalization module, which is used to construct a weighted normalization matrix of evaluation indicators according to the entropy weight of the comprehensive evaluation indicator for low-carbon construction of subway stations and the original data of the comprehensive evaluation indicator for low-carbon construction of subway stations corresponding to different design schemes; an ideal solution calculation module A block is used to determine the positive ideal solution and the negative ideal solution of the evaluation scheme according to the weighted normalized matrix of the evaluation index; a Euclidean distance calculation module is used to calculate the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution according to the positive ideal solution and the negative ideal solution of the evaluation scheme; a closeness calculation module is used to calculate the relative closeness of each scheme to be evaluated according to the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution; a result output module is used to sort the relative closeness of each evaluation scheme from large to small, select the design scheme with the largest relative closeness, and obtain the optimal subway civil engineering design scheme; an obstacle factor identification module is used to identify the obstacle factors that affect the low-carbon construction level of subway stations.

[0118] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of completing preset functions, and the instruction segments are used to describe the execution process of the computer program in the subway civil engineering design scheme evaluation device based on carbon emissions.

[0119] For example, the computer program can be divided into an indicator system construction module, a comprehensive evaluation index acquisition module, an entropy weight calculation module, a weighted normalization module, an ideal solution calculation module, a Euclidean distance calculation module, a closeness calculation module, a result output module and an obstacle factor identification module; the specific functions of each module are as follows: an indicator system construction module, used to construct a comprehensive evaluation indicator system for low-carbon construction of subway stations; a comprehensive evaluation indicator acquisition module, used to obtain comprehensive evaluation indicators for low-carbon construction of subway stations from the comprehensive evaluation indicator system for low-carbon construction of subway stations; an entropy weight calculation module, used to determine the entropy weight of the comprehensive evaluation indicators for low-carbon construction of subway stations using the entropy weight method; a weighted normalization module, used to calculate the entropy weight of the comprehensive evaluation indicators for low-carbon construction of subway stations according to the entropy weights of the comprehensive evaluation indicators for low-carbon construction of subway stations and the low-carbon construction of subway stations corresponding to different design schemes. The original data of the comprehensive evaluation indicators are used to construct a weighted normalized matrix of the evaluation indicators; an ideal solution calculation module is used to determine the positive ideal solution and the negative ideal solution of the evaluation scheme according to the weighted normalized matrix of the evaluation indicators; a Euclidean distance calculation module is used to calculate the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution according to the positive ideal solution and the negative ideal solution of the evaluation scheme; a closeness calculation module is used to calculate the relative closeness of each scheme to be evaluated according to the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution; a result output module is used to sort the relative closeness of each evaluation scheme from large to small, select the design scheme with the largest relative closeness, and obtain the optimal subway civil engineering design scheme; an obstacle factor identification module is used to identify the obstacle factors that affect the low-carbon construction level of subway stations.

[0120] The subway civil engineering design scheme evaluation device based on carbon emissions can be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The subway civil engineering design scheme evaluation device based on carbon emissions may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above examples of subway civil engineering design scheme evaluation devices based on carbon emissions do not constitute a limitation on the subway civil engineering design scheme evaluation device based on carbon emissions, and may include more components than the above, or a combination of certain components, or different components. For example, the subway civil engineering design scheme evaluation device based on carbon emissions may also include input and output devices, network access devices, buses, etc.

[0121] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The processor is the control center of the subway civil engineering design scheme evaluation device based on carbon emissions, and uses various interfaces and lines to connect various parts of the entire subway civil engineering design scheme evaluation device based on carbon emissions.

[0122] The memory can be used to store the computer program and / or module, and the processor implements various functions of the carbon emission-based subway civil engineering design scheme evaluation device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory.

[0123] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0124] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the method for evaluating subway civil engineering design schemes based on carbon emissions.

[0125] If the modules / units integrated in the subway civil engineering design scheme evaluation system based on carbon emissions 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.

[0126] Based on such understanding, the present invention implements all or part of the processes in the above-mentioned method for evaluating subway civil engineering design schemes based on carbon emissions, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned method for evaluating subway civil engineering design schemes based on carbon emissions can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or preset intermediate form, etc.

[0127] The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0128] It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electrical carrier signals and telecommunication signals.

[0129] Example

[0130] Taking a Guangzhou Metro station as an example, this embodiment provides a method for evaluating a subway civil engineering design scheme based on carbon emissions, including the following steps:

[0131] Step 1: Based on the engineering quota and the design scheme to be evaluated, determine the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes; as shown in Table 5, Table 5 gives the original data of the comprehensive evaluation index of the three design schemes of open-cut method, cover-and-excavation method and cover-and-excavation method.

[0132] Table 5 Original data of comprehensive evaluation indicators of three design schemes

[0133]

[0134] Step 2: construct an original data matrix R according to the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to the different design schemes; wherein the original data matrix R is specifically:

[0135]

[0136] Step 3: According to the basic steps of determining the weights of evaluation indicators using the entropy weight method, the weight results of each low-carbon construction evaluation indicator of the case are calculated, as shown in Table 6 below.

[0137] Table 6 Weights of comprehensive evaluation indicators for low-carbon construction of subway stations

[0138]

[0139] Step 4: The calculation results of the Euclidean distance and relative closeness between the scheme to be evaluated and the positive ideal solution and the negative ideal solution are shown in Table 7 below.

[0140] Table 7 Relative closeness of comprehensive evaluation of low-carbon construction of subway stations

[0141]

[0142] From Table 7 above, it can be seen that the relative closeness of the comprehensive evaluation indicators for low-carbon construction of subway stations is ranked as follows: cover-and-excavation method < open-cut method < cover-and-excavation method.

[0143] In this embodiment, combined with the actual situation of the case station, the low-carbon construction evaluation standards of the pre-selected case project are divided into four levels, as shown in Table 8 below:

[0144] Table 8 Comprehensive evaluation level of low-carbon construction of subway stations

[0145]

[0146] According to the evaluation criteria in Table 8, the calculation results of the relative closeness of the comprehensive evaluation indicators of low-carbon construction of subway stations determine that the low-carbon construction level of the open-cut design scheme for the subway station construction is general, the low-carbon construction level of the cover-and-excavation design scheme is general, and the low-carbon construction level of the cover-and-excavation design scheme is good.

[0147] Step 5: Weight analysis of low-carbon construction indicators for subway stations

[0148] In the evaluation index system of low-carbon construction of subway stations, the three indicators of power consumption intensity P4, power use carbon footprint intensity S4, and ready-mixed concrete use carbon footprint intensity P3 account for a large weight of the case project, indicating that the construction process of subway stations needs to focus on the impact of the above three indicators on the low-carbon construction level. Without affecting the safety and normal use functions of subway station buildings, optimizing the mix design of ready-mixed concrete and establishing an intelligent production and transportation system for ready-mixed concrete can effectively reduce the carbon footprint of ready-mixed concrete in the materialization stage of subway stations and improve the low-carbon construction level of the project.

[0149] Step 6: Analysis of barriers to low-carbon construction

[0150] The results of the low-carbon construction obstacle factor analysis of the three design schemes of subway stations: open-cut method, cover-and-excavation method, and cover-and-excavation method are shown in Table 9 below.

[0151] Table 9 Obstacle factors and degree of low-carbon construction of subway stations

[0152]

[0153]

[0154] It should be noted that for the open-cut design scheme of subway stations, the three indicators of underground pipeline relocation difficulty P6, unit cost carbon footprint intensity S6, and low-carbon environmental protection management measures R3 are ranked relatively high. They are important factors affecting the low-carbon construction level of the scheme and hinder the improvement of the low-carbon construction level of the scheme.

[0155] Compared with the cover-and-cut scheme, the carbon footprint intensity of electricity use S4, the carbon footprint intensity of ready-mixed concrete use S1, and the consumption intensity of ready-mixed concrete P1 are the top obstacle factors in the open-cut scheme. The reason is that compared with the open-cut and cover-and-cut schemes, the cover-and-cut scheme requires more concrete to support the earth slope, carry the upper structure, and correct structural deformation, which increases the amount of concrete and energy consumption.

[0156] For the reverse-cut-cover approach to subway stations, energy consumption intensity P3, energy use carbon footprint intensity S3, and electricity use carbon footprint intensity S4 have become important factors hindering the improvement of low-carbon construction levels. Promoting the electrification of construction machinery for subway station construction and achieving clean energy use for construction machinery and vehicles for subway construction are important means to improve the low-carbon construction level of the reverse-cut-cover approach to subway stations and even the greening of the subway construction system.

[0157] Judging from the evaluation results of the low-carbon construction level and obstacle analysis of subway stations, the high low-carbon construction level of the cover-and-dig reverse approach is also due to the good performance of this approach in many indicators such as the difficulty of underground pipeline relocation P6, the carbon footprint intensity of ready-mixed concrete use S1, the carbon footprint intensity of steel use S2, and the project investment R2. The cover-and-dig reverse approach not only has a cost advantage because the project investment is lower than the other two options, but also greatly shortens the construction period, reduces dust pollution and noise pollution at the construction site, and reduces the disturbance of the subway station construction on the surrounding environment, making the low-carbon construction level of this scheme higher than the other two options. In addition, measures such as establishing a systematic, efficient, and scientific construction management system, strengthening the cultivation of low-carbon construction awareness of construction site personnel, selecting efficient and safe construction methods based on the actual situation of the project, and selecting low-carbon construction machinery and tools will help to gradually improve the low-carbon construction level of subway stations.

[0158] The description of the relevant parts of the subway civil engineering design scheme evaluation system, equipment and computer-readable storage medium based on carbon emissions provided in this embodiment can be found in the detailed description of the corresponding parts of the subway civil engineering design scheme evaluation method based on carbon emissions described in this embodiment, and will not be repeated here.

[0159] The above embodiment is only one of the implementation methods that can realize the technical solution of the present invention. The scope of protection claimed by the present invention is not limited only to this embodiment, but also includes changes, replacements and other implementation methods that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention.

Claims

1. A method for evaluating subway civil engineering design schemes based on carbon emissions, characterized in that: include: Obtain comprehensive evaluation indicators for low-carbon construction of subway stations; Based on the engineering quota and the design scheme to be evaluated, determine the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes; Using the entropy weight-Topsis algorithm, the relative closeness of different design schemes is calculated based on the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes; The relative closeness of the design schemes is sorted, and the optimal subway civil engineering design scheme is obtained according to the sorting results.

2. A subway civil engineering design scheme evaluation method based on carbon emissions according to claim 1, characterized in that: The comprehensive evaluation indicators for low-carbon construction of subway stations include pressure layer indicators, state layer indicators and response layer indicators; Among them, the pressure layer indicators include the consumption intensity of ready-mixed concrete P1, the steel consumption intensity P2, the energy consumption intensity P3, the electricity consumption intensity P4 and the water resource consumption intensity P5; the state layer indicators include the carbon footprint intensity S1 of ready-mixed concrete use, the carbon footprint intensity S2 of steel use, the carbon footprint intensity S3 of energy use, the carbon footprint intensity S4 of electricity use, the carbon footprint intensity S5 per unit of building area, the carbon footprint intensity S6 per unit of construction cost and the amount of waste earth and stone S7; the response layer indicators include the application degree of low-carbon design scheme R1, project investment R2, low-carbon environmental protection management measures R3 and low-carbon construction machinery selection R4.

3. The method for evaluating subway civil engineering design schemes based on carbon emissions according to claim 1 is characterized in that: Using the entropy weight-Topsis algorithm, the process of calculating the relative closeness of different design schemes according to the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes is as follows: The entropy weight method is used to determine the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations; According to the entropy weights of the comprehensive evaluation indicators of low-carbon construction of subway stations and the original data of the comprehensive evaluation indicators of low-carbon construction of subway stations corresponding to different design schemes, a weighted normalized matrix X of the evaluation indicators is constructed; According to the weighted normalized matrix X of the evaluation index, determine the positive ideal solution X of the evaluation scheme + and negative ideal solution X - ; According to the positive ideal solution X of the evaluation scheme + and negative ideal solution X - , calculate the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution; According to the Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution, the relative closeness of each scheme to be evaluated is calculated; The relative closeness c of each evaluation scheme i Sort from large to small and select relative closeness c i The largest design solution, get the best subway civil engineering design solution.

4. A method for evaluating subway civil engineering design schemes based on carbon emissions according to claim 3, characterized in that: The entropy weight method is used to determine the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations. The details are as follows: According to the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to the different design schemes, an original data matrix R is constructed; Performing dimensionless processing on the original data matrix R to obtain a dimensionless processed matrix; Calculating the information entropy of each evaluation index according to the dimensionless matrix; According to the information entropy of the evaluation indicators, the entropy weight of the comprehensive evaluation indicators for low-carbon construction of subway stations is calculated.

5. A method for evaluating subway civil engineering design schemes based on carbon emissions according to claim 4, characterized in that: The calculation process of the entropy weight of the comprehensive evaluation index of low-carbon construction of subway stations is as follows: Among them, ω j is the entropy weight of the comprehensive evaluation index of low-carbon construction of the j-th subway station; e j is the information entropy of the comprehensive evaluation index of low-carbon construction of the jth subway station; k is the coefficient related to the number of comprehensive evaluation indicators; R i ' j is the weight of each comprehensive evaluation index after standardization; n is the number of comprehensive evaluation indicators for low-carbon construction of subway stations.

6. The method for evaluating subway civil engineering design schemes based on carbon emissions according to claim 3 is characterized in that: The Euclidean distance between the scheme to be evaluated and the positive ideal solution and the negative ideal solution is: in, is the Euclidean distance between the i-th solution to be evaluated and the positive ideal solution; r ij is the weighted normalized value of the i-th scheme to be evaluated under the j-th evaluation index; is the positive ideal solution of the i-th scheme to be evaluated under the j-th evaluation index; m is the number of schemes to be evaluated; is the Euclidean distance between the i-th solution to be evaluated and the negative ideal solution; is the negative ideal solution of the i-th evaluated solution under the j-th evaluation index.

7. The method for evaluating subway civil engineering design schemes based on carbon emissions according to claim 3 is characterized in that: The calculation process of the relative closeness of each scheme to be evaluated is: Among them, c i is the relative closeness of the i-th scheme to be evaluated; is the Euclidean distance between the i-th solution to be evaluated and the positive ideal solution; is the Euclidean distance between the i-th solution to be evaluated and the negative ideal solution.

8. A subway civil engineering design scheme evaluation system based on carbon emissions, characterized in that: include: Index determination module, used to obtain comprehensive evaluation indicators for low-carbon construction of subway stations; The original data acquisition module is used to determine the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes based on the engineering quota and the design scheme to be evaluated; The closeness calculation module is used to calculate the relative closeness of different design schemes based on the original data of the comprehensive evaluation index of low-carbon construction of subway stations corresponding to different design schemes by using the entropy weight-Topsis algorithm; The result output module is used to sort the relative closeness of the design schemes and obtain the optimal subway civil engineering design scheme based on the sorting results.

9. A subway civil engineering design scheme evaluation device based on carbon emissions, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the subway civil engineering design scheme evaluation method based on carbon emissions as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for evaluating subway civil engineering design schemes based on carbon emissions as described in any one of claims 1 to 7 are implemented.

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