Method and apparatus for evaluating benefits of coal mine construction, and electronic device and storage medium

Abstract

Disclosed in the present application is a method for evaluating benefits of coal mine construction. The method comprises the following steps: S1, acquiring data related to benefits of intelligent construction of an underground coal mine; S2, establishing a comprehensive evaluation index system for the benefits of the intelligent construction of the underground coal mine; S3, determining a numerical value and a weight which correspond to each evaluation index in the comprehensive evaluation index system; S4, building a comprehensive evaluation mathematical model for the benefits of the intelligent construction of the underground coal mine; S5, on the basis of the comprehensive evaluation mathematical model for the benefits of the intelligent construction of the underground coal mine, and in combination with the numerical value and the weight which correspond to each evaluation index in the comprehensive evaluation index system, calculating comprehensive evaluation index scores; and S6, determining an evaluation result of the benefits of the intelligent construction of the underground coal mine. Further disclosed are an apparatus for evaluating benefits of coal mine construction, an electronic device and a storage medium.

Description

Coal mine construction benefit evaluation method, device, electronic equipment and storage medium Technical Field

[0001] The present invention relates to the technical field of coal mine construction evaluation, and in particular to a method, device, electronic equipment and storage medium for evaluating the benefits of intelligent construction of underground coal mines. Background Art

[0002] Intelligent coal mines are a core technological pillar supporting the high-quality development of the coal industry. Building intelligent coal mines is a crucial task facing coal enterprises in the new era and has become an irreversible development trend. In recent years, with the application of information technologies such as big data, 5G, and the internet, a large number of intelligent underground coal mines have been built nationwide. However, once these intelligent underground coal mines are operational, evaluating their effectiveness is a key issue in further promoting and guiding their development. However, evaluating the effectiveness of intelligent underground coal mines is a complex systemic project, encompassing all aspects of production, safety, economics, and society. Currently, research on the effectiveness of intelligent underground coal mines is relatively limited. Most research focuses on areas such as the classification and grading of intelligent coal mines, an indicator system for the classification and grading of intelligent coal mining faces, and an indicator system for the acceptance of intelligent coal mine construction. Currently, the only available evaluation method relies on manual experience-based evaluation, which involves manually recording production results and economic investment before and after intelligent construction, and conducting comparative analysis to determine the ultimate benefits of intelligent construction.

[0003] Existing technologies primarily rely on manual judgment and experience, making it impossible to qualitatively and quantitatively comprehensively evaluate the benefits of intelligent construction in underground coal mines. Furthermore, existing technologies can only simply consider the impact of a single benefit aspect, failing to evaluate benefits from multiple dimensions or fully consider the correlations between different benefits. Therefore, it is necessary to provide an effective evaluation method for the benefits of intelligent construction in underground coal mines, and to comprehensively assess the effectiveness of intelligent construction. Summary of the Invention

[0004] In response to the above technical problems in the related art, the present invention provides a method, device, electronic equipment and storage medium for evaluating the benefits of intelligent construction of underground coal mines, which can solve the above problems.

[0005] To achieve the above technical objectives, the technical solution of the present invention is implemented as follows:

[0006] A method for evaluating the benefits of coal mine construction comprises the following steps:

[0007] S1. Acquire data related to the benefits of intelligent construction of underground coal mines and perform data analysis and processing on the acquired data;

[0008] S2. Determine the key evaluation indicators for the benefits of intelligent construction of underground coal mines and establish a comprehensive evaluation indicator system for the benefits of intelligent construction of underground coal mines;

[0009] S3. Determine the value and weight corresponding to each evaluation indicator in the comprehensive evaluation indicator system;

[0010] S4. Construct a mathematical model for comprehensive evaluation of the benefits of intelligent construction in underground coal mines;

[0011] S5. Based on the mathematical model for comprehensive evaluation of the benefits of intelligent construction of underground coal mines, and in combination with the numerical value and weight corresponding to each evaluation indicator in the comprehensive evaluation index system, calculate the comprehensive evaluation index score;

[0012] S6. Determine the benefit evaluation results of intelligent construction of underground coal mines.

[0013] Furthermore, in step S1, data related to the benefits of intelligent construction of underground coal mines are obtained from the underground coal mine intelligent management system, and the acquired relevant data are analyzed and processed using a time series analysis method.

[0014] Furthermore, the key evaluation indicators in the comprehensive evaluation index system for the benefits of intelligent construction of underground coal mines described in step S2 include first-level evaluation indicators, second-level evaluation indicators and third-level evaluation indicators.

[0015] Furthermore, there are production benefit evaluation indicators, safety benefit evaluation indicators, economic benefit evaluation indicators, and social benefit evaluation indicators; among which, the production benefit evaluation indicators include the following secondary evaluation indicators: tunneling benefit, comprehensive mining benefit, main transportation benefit, auxiliary transportation benefit, ventilation and compressed air benefit, power supply and drainage benefit; among which, the safety benefit evaluation indicators include the following secondary evaluation indicators: safety monitoring benefit, geological protection benefit, information security protection benefit, safe operation and management benefit, disaster accident reduction benefit; among which, the economic benefit evaluation indicators include the following secondary evaluation indicators: operating income change benefit, operating cost change benefit, financial profitability change benefit, government economic subsidy change benefit; among which, the social benefit evaluation indicators include the following secondary evaluation indicators: corporate visibility improvement benefit, mining area image improvement benefit, national demonstration benefit; the third-level evaluation indicators include: excellent, good, medium, poor, and extremely poor five indicators.

[0016] Furthermore, the specific steps of determining the value and weight of each evaluation indicator in the comprehensive evaluation indicator system described in step S3 include:

[0017] S3-1. Determination of evaluation index values: The first-level evaluation index values ​​and the third-level evaluation index values ​​are assigned using the objective assignment method, and the second-level evaluation index values ​​are assigned using the expert scoring method. The first-level evaluation index values ​​are assigned using the percentage principle based on the importance of the indicators to the benefits of the intelligent construction of underground coal mines; the third-level evaluation index values ​​are assigned as follows: 0.9≤Excellent≤1, 0.8≤Good<0.9, 0.7≤Fair<0.8, 0.6≤Poor<0.7, 0≤Extreme<0.6;

[0018] S3-2. Determination of the weight of evaluation indicators. The weight of evaluation indicators is calculated using the analytic hierarchy process. The specific steps include:

[0019] S3-2-1. Construct a judgment matrix to represent the relative importance of each evaluation indicator;

[0020] S3-2-2. Calculate the maximum eigenvalue and corresponding eigenvector of each judgment matrix, normalize the eigenvector, and obtain the relative weight of the evaluation indicators at each level;

[0021] S3-2-3. Perform consistency check on the calculated weight values.

[0022] Furthermore, a mathematical model for comprehensive evaluation of the benefits of intelligent construction of underground coal mines was constructed and calculated using the following formula:

[0023] ;

[0024] In the formula The total score of the benefit evaluation of intelligent construction of underground coal mines; Respectively represent the benefit evaluation scores of intelligent construction of underground coal mines in production, safety, economy and society; They are the production efficiency evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They are safety benefit evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; The economic benefit evaluation indicators are The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They are the social benefit evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They respectively represent the total number of secondary evaluation indicators included in the production benefit evaluation index, safety benefit evaluation index, economic benefit evaluation index and social benefit evaluation index; A, B, C and D respectively represent the numerical values ​​assigned to the production benefit evaluation index, safety benefit evaluation index, economic benefit evaluation index and social benefit evaluation index.

[0025] Furthermore, the benefit evaluation results of the intelligent construction of underground coal mines are determined according to the total score of the benefit evaluation of the intelligent construction of underground coal mines, among which It means the construction benefit is good. The construction benefit is good. Indicates that the construction benefit is average, Indicates that the construction benefit is poor, It indicates that the construction benefit is extremely poor.

[0026] A coal mine construction benefit evaluation device, comprising:

[0027] The data calling module is used to call the data required for benefit evaluation from the underground coal mine intelligent management system;

[0028] Data processing module, used to analyze and process the called data;

[0029] The benefit evaluation module is used to calculate the values ​​and weights of the evaluation indicators and to construct a mathematical model for the comprehensive evaluation of the benefits of the intelligent construction of underground coal mines. The total score of the benefit evaluation of the intelligent construction of underground coal mines is calculated through the mathematical model;

[0030] The result output module outputs the benefit evaluation results of the intelligent construction of underground coal mines.

[0031] An electronic device comprises a memory and a processor, wherein the memory stores a computer program and the processor implements a method for evaluating the benefits of coal mine construction when executing the program.

[0032] A computer-readable storage medium stores a computer program, which implements a coal mine construction benefit evaluation method when executed by a processor.

[0033] The beneficial effects of the present invention are as follows: After the intelligent construction of an underground coal mine has been in operation for a period of time, the present invention conducts a systematic and objective analysis and evaluation of the execution process, benefits, effects and impacts of the intelligent construction, and realizes a comprehensive evaluation of the benefits of the intelligent construction of coal mines from the four dimensions of production, safety, economy and society. It effectively overcomes the defect that the existing technology cannot conduct a comprehensive evaluation of the benefits of the intelligent construction of underground coal mines qualitatively and quantitatively, and provides a basis for evaluation for the optimization of the benefits of the intelligent construction of underground coal mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] The present invention will be described in further detail below with reference to the accompanying drawings.

[0036] FIG1 is a flow chart of a method for evaluating the benefits of coal mine construction according to an embodiment of the present invention;

[0037] FIG2 is a schematic diagram of a comprehensive evaluation index system for the benefits of intelligent construction of underground coal mines according to an embodiment of the present invention;

[0038] 3 is a flowchart of calculating the weights of evaluation indicators using the analytic hierarchy process according to an embodiment of the present invention;

[0039] FIG4 is a schematic diagram of a coal mine construction benefit evaluation device according to an embodiment of the present invention;

[0040] FIG5 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention are within the scope of protection of the present invention.

[0042] As shown in Figures 1-5, according to the present invention, a method for evaluating the benefits of coal mine construction is disclosed, which includes the following steps: S1. Acquiring information related to the benefits of intelligent construction of underground coal mines and performing data analysis and processing on the acquired information; S2. Determining the key evaluation indicators of the benefits of intelligent construction of underground coal mines, and establishing a comprehensive evaluation index system for the benefits of intelligent construction of underground coal mines; S3. Determining the numerical value and weight corresponding to each evaluation indicator in the comprehensive evaluation index system; S4. Constructing a mathematical model for comprehensive evaluation of the benefits of intelligent construction of underground coal mines; S5. Based on the mathematical model for comprehensive evaluation of the benefits of intelligent construction of underground coal mines, and combining the numerical value and weight corresponding to each evaluation indicator in the comprehensive evaluation index system, calculating the score of the comprehensive evaluation index; S6. Determining the evaluation results of the benefits of intelligent construction of underground coal mines. Also disclosed is a coal mine construction benefit evaluation device, comprising: a data call module for calling data required for benefit evaluation from an underground coal mine intelligent management system; a data processing module for analyzing and processing the called data; a benefit evaluation module for calculating the values ​​and weights of evaluation indicators, and constructing a mathematical model for comprehensive evaluation of the benefits of underground coal mine intelligent construction, and calculating a total score for the evaluation of the benefits of underground coal mine intelligent construction using the mathematical model; and a result output module for outputting the evaluation results of the benefits of underground coal mine intelligent construction. Furthermore, the electronic device disclosed in this application can be a computing device such as a desktop computer, notebook, PDA, or cloud server, and includes, but is not limited to, a memory and a processor, and may also include, for example, a communication bus, a power supply, a communication interface, an input / output interface, and the like. Example 1:

[0043] In this application, information related to the benefits of intelligent construction of underground coal mines is obtained from the intelligent management system of underground coal mines. The intelligent management system of underground coal mines is connected to the various operating subsystems of underground coal mines. The intelligent management system of underground coal mines manages the various operating subsystems of underground coal mines and receives and saves relevant operating data. The various operating subsystems of underground coal mines include geological support system, tunneling system, coal mining system, main coal flow transportation system, auxiliary transportation system, ventilation and compressed air system, power supply and drainage system, safety monitoring system, safety operation management system, enterprise operation statistics system, etc. The relevant information can be directly called and obtained from the intelligent management system of underground coal mines; and the time series analysis method is used to analyze and process the obtained information, which specifically includes the following steps: Data preparation: organize and clean the obtained information to ensure the integrity and accuracy of the data. Check whether the data has missing values, outliers or erroneous data, and perform necessary processing, such as filling missing values ​​or deleting outliers. Determine the time series model: select a suitable time series model based on the characteristics and objectives of the data. Common time series models include stationary models (such as the ARIMA model), trend models (such as the exponential smoothing model), and seasonal models (such as the seasonal ARIMA model). Selecting an appropriate model requires considering data characteristics such as trend, cyclicality, and randomness. Model fitting: Fitting the selected time series model to the data. Model parameters are calculated to estimate the model coefficients and error terms. Model fitting can be performed using statistical software or programming languages ​​(such as the statsmodels library in Python). Model diagnostics: Diagnosing the fitted time series model to assess its goodness of fit and rationality. Residual analysis can be performed to check whether the model's residual series meets basic assumptions, such as stationarity, independence, and normality. If there are any issues with the model, it may be necessary to adjust the model or select a different model. Model forecasting: Forecasting future data based on the fitted time series model. The model parameters and historical data can be used to predict future observations. Note that forecast results need to be interpreted and evaluated in conjunction with model diagnostics and the actual situation. Result interpretation and application: Interpreting the results of time series analysis and applying them according to practical needs. The predictive ability and reliability of the model can be displayed and evaluated through charts and statistical indicators (such as mean square error, mean absolute error, etc.). Example 2:

[0044] The key evaluation indicators in the comprehensive evaluation index system for the intelligent construction benefits of underground coal mines described in this application include 4 first-level evaluation indicators, 18 second-level evaluation indicators and 5 third-level evaluation indicators. Among them:

[0045] There are a total of four first-level evaluation indicators, including: production benefit evaluation index (A), safety benefit evaluation index (B), economic benefit evaluation index (C), and social benefit evaluation index (D).

[0046] A total of 18 secondary evaluation indicators include:

[0047] The first-level evaluation index of production efficiency includes 6 second-level evaluation indicators: tunneling efficiency (A1), comprehensive mining efficiency (A2), main transportation efficiency (A3), auxiliary transportation efficiency (A4), ventilation and compressed air efficiency (A5), power supply and drainage efficiency (A6).

[0048] The first-level safety benefit evaluation index includes five second-level evaluation indicators: safety monitoring benefit (B1), geological protection benefit (B2), information security protection benefit (B3), safety operation and management benefit (B4), and disaster accident reduction benefit (B5).

[0049] The first-level evaluation index of economic benefits includes four second-level evaluation indicators: the benefits of changes in operating income (C1), the benefits of changes in operating costs (C2), the benefits of changes in financial profitability (C3), and the benefits of changes in government economic subsidies (C4).

[0050] The first-level evaluation index of social benefits includes three second-level evaluation indicators: benefit of improving enterprise reputation (D1), benefit of improving mining area image (D2), benefit of national demonstration (D3),

[0051] There are a total of five three-level evaluation indicators, including excellent, good, medium, poor, and extremely poor. Example 3:

[0052] The specific method for determining the value and weight of each evaluation indicator in the comprehensive evaluation index system described in this application is as follows:

[0053] (1) Method for determining the numerical value of evaluation indicators

[0054] The method for determining the numerical value of the evaluation indicators adopts a method that combines objective assignment and expert scoring. Among them, the first-level evaluation indicators and third-level indicators adopt the objective assignment method, and the second-level indicators adopt the expert scoring method.

[0055] The values ​​of the first-level evaluation indicators are assigned according to the importance of the indicators to the benefits of intelligent construction of underground coal mines, using the percentage principle, for example: production benefit evaluation index (40 points), safety benefit evaluation index (30 points), economic benefit evaluation index (20 points), and social benefit evaluation index (10 points).

[0056] The three-level evaluation indicators are assigned numerical values, for example: excellent (0.9-1), good (0.8-0.9), medium (0.7-0.8), poor (0.6-0.7), and extremely poor (0-0.6).

[0057] The secondary evaluation index values ​​are assigned using the expert scoring method. The specific process is:

[0058] ① Establish a parameter set consisting of 18 secondary evaluation indicators

[0059] , ;in, Represents the set of secondary evaluation index parameters; Respectively represent parameters ; Respectively represent parameters Respectively represent parameters ; Respectively represent parameters .

[0060] ② Assume that There are evaluation experts, and the scoring results of each expert on the secondary evaluation indicators can be: ,in, .

[0061] ③ Calculate the value of the secondary evaluation index based on the following formula

[0062] ,in Indicates the number of experts who gave an excellent rating; represents the number of experts who gave a good rating; Indicates the number of experts who gave a rating; It indicates the number of experts who gave poor ratings; It indicates the number of experts who gave extremely poor ratings; .

[0063] (2) The method for determining the weight of evaluation indicators is as follows:

[0064] ① Establish a comparison matrix: Use the hierarchical analysis method to select the same-level indicators under the same level indicators (such as the second-level evaluation indicators under the first-level evaluation indicators of production efficiency). ), compare the relative importance of evaluation indicators pairwise and establish a comparison matrix of evaluation indicators ,in, is the importance judgment parameter vector; is the comparison matrix The parameter vector of , whose value can be calculated using the three-scaling method.

[0065] ② Determine the elements in the comparison matrix:

[0066] ;

[0067] ③ The judgment matrix is ​​constructed based on the range method, and the calculation formula is as follows:

[0068] ,in, is the consistency judgment matrix; is a matrix The sum of the elements in each row, is a matrix The sum of the elements in each column; is the relative importance of a given pair of extreme elements; For the very poor, .

[0069] ④ Determine the weight of evaluation indicators at each level: Calculate the judgment matrix The maximum eigenvalue of and its corresponding eigenvector , that is, the weight vector , normalizing it to get the relative weight of each evaluation indicator at a certain level with respect to the indicator at the previous level .

[0070] ⑤ Consistency test: The weight values ​​obtained by applying the hierarchical analysis method need to be checked for consistency. Calculate the maximum eigenvalue , and introduce compatibility indicators Check the consistency of the judgment matrix: ,when When , the judgment matrix is ​​considered to have satisfactory consistency; when When the judgment matrix is ​​corrected, the consistency test should be performed again. Example 4:

[0071] The idea of ​​constructing the mathematical model for the benefit evaluation of intelligent construction of underground coal mines in this application is based on the principle of hierarchical analysis method. The detailed steps are as follows: First, determine the mathematical model of the first-level evaluation indicators: ; Then, the mathematical models for determining the secondary evaluation indicators are: ; Again, the mathematical models for determining the three-level evaluation indicators are: Finally, based on the mathematical models of the first, second and third level evaluation indicators, a mathematical model for evaluating the benefits of intelligent construction of underground coal mines was constructed. It is calculated using the following formula:

[0072] ;

[0073] Where, It is the overall index for evaluating the benefits of intelligent construction in underground coal mines; Respectively represent the benefit evaluation index of intelligent construction of underground coal mines in production, safety, economy and society; They are the production efficiency evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They are safety benefit evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; The economic benefit evaluation indicators are The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They are the social benefit evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They respectively represent the total number of secondary evaluation indicators included in the production benefit evaluation index, safety benefit evaluation index, economic benefit evaluation index, and social benefit evaluation index. Embodiment 5:

[0074] In this application, the benefit evaluation results of the intelligent construction of underground coal mines are determined based on the total score of the benefit evaluation of the intelligent construction of underground coal mines, where It means the construction benefit is good. The construction benefit is good. Indicates that the construction benefit is average, Indicates that the construction benefit is poor, It indicates that the construction benefit is extremely poor.

[0075] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for evaluating the benefits of coal mine construction, characterized in that: The steps include: S1. Acquire data related to the benefits of intelligent construction of underground coal mines and perform data analysis and processing on the acquired data; S2. Determine the key evaluation indicators for the benefits of intelligent construction of underground coal mines and establish a comprehensive evaluation indicator system for the benefits of intelligent construction of underground coal mines; S3. Determine the value and weight corresponding to each evaluation indicator in the comprehensive evaluation indicator system; S4. Construct a mathematical model for comprehensive evaluation of the benefits of intelligent construction in underground coal mines; S5. Based on the mathematical model for comprehensive evaluation of the benefits of intelligent construction of underground coal mines, and in combination with the numerical value and weight corresponding to each evaluation indicator in the comprehensive evaluation index system, calculate the comprehensive evaluation index score; S6. Determine the benefit evaluation results of intelligent construction of underground coal mines.

2. A coal mine construction benefit evaluation method according to claim 1, characterized in that: In step S1, data related to the benefits of intelligent construction of underground coal mines are obtained from the underground coal mine intelligent management system, and the acquired relevant data are analyzed and processed using a time series analysis method.

3. A method for evaluating the benefits of coal mine construction according to claim 1, characterized in that: The key evaluation indicators in the comprehensive evaluation index system for the benefits of intelligent construction of underground coal mines described in step S2 include first-level evaluation indicators, second-level evaluation indicators and third-level evaluation indicators.

4. A method for evaluating the benefits of coal mine construction according to claim 3, characterized in that: The first-level evaluation indicators include: production benefit evaluation indicators, safety benefit evaluation indicators, economic benefit evaluation indicators, and social benefit evaluation indicators; among them, the production benefit evaluation indicators include the following second-level evaluation indicators: tunneling benefit, comprehensive mining benefit, main transportation benefit, auxiliary transportation benefit, ventilation and compressed air benefit, power supply and drainage benefit; among them, the safety benefit evaluation indicators include the following second-level evaluation indicators: safety monitoring benefit, geological protection benefit, information security protection benefit, safe operation and management benefit, and disaster accident reduction benefit; among them, the economic benefit evaluation indicators include the following second-level evaluation indicators: operating income change benefit, operating cost change benefit, financial profitability change benefit, and government economic subsidy change benefit; among them, the social benefit evaluation indicators include the following second-level evaluation indicators: corporate visibility improvement benefit, mining area image improvement benefit, and national demonstration benefit; the third-level evaluation indicators include: excellent, good, medium, poor, and extremely poor.

5. A method for evaluating the benefits of coal mine construction according to claim 4, characterized in that: The specific steps of determining the value and weight of each evaluation indicator in the comprehensive evaluation indicator system described in step S3 include: S3-1. Determination of evaluation index values: The first-level evaluation index values and the third-level evaluation index values are assigned using the objective assignment method, and the second-level evaluation index values are assigned using the expert scoring method. The first-level evaluation index values are assigned using the percentage principle based on the importance of the indicators to the benefits of the intelligent construction of underground coal mines; the third-level evaluation index values are assigned as follows: 0.9≤Excellent≤1, 0.8≤Good<0.9, 0.7≤Fair<0.8, 0.6≤Poor<0.7, 0≤Extreme<0.6; S3-2. Determination of the weight of evaluation indicators. The weight of evaluation indicators is calculated using the analytic hierarchy process. The specific steps include: S3-2-1. Construct a judgment matrix to represent the relative importance of each evaluation indicator; S3-2-2. Calculate the maximum eigenvalue and corresponding eigenvector of each judgment matrix, normalize the eigenvector, and obtain the relative weight of the evaluation indicators at each level; S3-2-3. Perform consistency check on the calculated weight values.

6. A method for evaluating the benefits of coal mine construction according to claim 1, characterized in that: A mathematical model for comprehensive evaluation of the benefits of intelligent construction of underground coal mines is constructed and calculated using the following formula: ； In the formula The total score of the benefit evaluation of intelligent construction of underground coal mines; Respectively represent the benefit evaluation scores of intelligent construction of underground coal mines in production, safety, economy and society; They are the production efficiency evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They are safety benefit evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; The economic benefit evaluation indicators are The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They are the social benefit evaluation indicators The corresponding value of the item, the weight of the first-level indicator, the weight of the second-level indicator and the weight of the third-level indicator; They respectively represent the total number of secondary evaluation indicators included in the production benefit evaluation index, safety benefit evaluation index, economic benefit evaluation index and social benefit evaluation index; A, B, C and D respectively represent the numerical values assigned to the production benefit evaluation index, safety benefit evaluation index, economic benefit evaluation index and social benefit evaluation index.

7. A method for evaluating the benefits of coal mine construction according to claim 6, characterized in that: The evaluation results of the benefits of intelligent construction of underground coal mines are determined according to the total score of the benefits evaluation of intelligent construction of underground coal mines. It means the construction benefit is good. The construction benefit is good. Indicates that the construction benefit is average, Indicates that the construction benefit is poor, It indicates that the construction benefit is extremely poor.

8. A coal mine construction benefit evaluation device, characterized in that: include: The data calling module is used to call the data required for benefit evaluation from the underground coal mine intelligent management system; Data processing module, used to analyze and process the called data; The benefit evaluation module is used to calculate the values and weights of the evaluation indicators and to construct a mathematical model for the comprehensive evaluation of the benefits of the intelligent construction of underground coal mines. The total score of the benefit evaluation of the intelligent construction of underground coal mines is calculated through the mathematical model; The result output module outputs the benefit evaluation results of the intelligent construction of underground coal mines.

9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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