CN-122022210-A - Method, equipment and medium for evaluating development feasibility level of green mine

CN122022210ACN 122022210 ACN122022210 ACN 122022210ACN-122022210-A

Abstract

The invention discloses a method, equipment and medium for evaluating the development feasibility level of a green mine, which relate to the technical field of green mine development and comprise the steps of preliminarily defining and classifying four-dimensional evaluation indexes of resource conservation, environmental friendliness, ecology and harmony of mine land cooperation according to a mine development data set to construct a multi-dimensional comprehensive evaluation system; the method comprises the steps of obtaining each dimension index from a multi-dimensional comprehensive evaluation system, structuring a complex problem by combining a analytic hierarchy process, processing ambiguity and uncertainty in the evaluation process by combining a fuzzy comprehensive evaluation method, establishing a hierarchical evaluation model, inputting each dimension index into the hierarchical evaluation model for structural decomposition and fuzzy reasoning, outputting a mine development feasibility score, and dividing a preliminary development feasibility grade, so that the feasibility evaluation of mine development is more comprehensive and accurate, and each key factor is ensured to be effectively considered.

Inventors

YU CHENGXIANG
GUO HAILONG
LIU BIN
ZHAO LUYING
ZHANG LIQIANG
WANG XUANYI

Assignees

长春黄金设计院有限公司

Dates

Publication Date: 20260512
Application Date: 20260416

Claims (10)

1. A method for evaluating the development feasibility level of a green mine is characterized by comprising the following steps of, Acquiring mine development multidimensional evaluation data, and acquiring a mine development data set through data cleaning, denoising and standardization; According to a mine development data set, preliminary definition and classification are carried out from four-dimensional evaluation indexes of resource conservation, environmental friendliness, ecology and harmony of mine cooperation, and a multi-dimensional comprehensive evaluation system is constructed; acquiring each dimension index from a multi-dimensional comprehensive evaluation system, structuring a complex problem by combining a analytic hierarchy process, processing ambiguity and uncertainty in the evaluation process by combining a fuzzy comprehensive evaluation method, and establishing a hierarchical evaluation model; inputting each dimension index into a hierarchical evaluation model for structural decomposition and fuzzy reasoning, outputting a mine development feasibility score, and dividing a preliminary development feasibility grade; based on the mine development feasibility score and the preliminary development feasibility grade, the environment, economy and social benefits of the mine development activities are quantified by adopting a full life cycle evaluation method, and a comprehensive benefit quantification result is output; and dividing the comprehensive benefit quantification result through a multi-dimensional hierarchy to obtain the mine development feasibility level.
2. The method for evaluating a green mine development feasibility level according to claim 1, wherein said acquiring a mine development data set comprises the steps of, Checking the multi-dimensional evaluation data of mine development, identifying the missing value and the abnormal value, filling the missing value and correcting the abnormal value, and outputting a cleaned data set; identifying abnormal fluctuation in the cleaned data, removing noise through smoothing processing, correcting an abnormal fluctuation part, and outputting a denoised data set; And (3) adjusting the scale of the denoised data set, comparing all the numerical data in the same range, processing the category data into the numerical data, and outputting the mine development data set.
3. The method for evaluating the development feasibility level of the green mine according to claim 2, wherein the method is characterized in that the method is used for preliminarily defining and classifying the four-dimensional evaluation indexes of resource conservation, environmental friendliness, ecology and harmony and mine cooperation according to the mine development data set to construct a multi-dimensional comprehensive evaluation system, and comprises the following specific steps of, Carrying out statistical analysis and data mining on mine exploitation data, environment monitoring data, resource utilization data and social influence data in a mine exploitation data set, analyzing resource consumption, environment influence, ecological restoration and social coordination related in the mine exploitation process, defining four evaluation dimensions, and screening out corresponding evaluation indexes for each evaluation dimension; constructing a multi-dimensional comprehensive evaluation framework based on four evaluation dimensions, carrying out standardization processing on the evaluation indexes of each evaluation dimension, and simultaneously distributing preliminary weights for each evaluation index to obtain standardized weighted evaluation indexes; Performing hierarchical management on the evaluation index under each evaluation dimension in a multi-dimension comprehensive evaluation framework, and outputting a hierarchical index structure; integrating the hierarchical index structure, the standardized weighted evaluation index and the preliminary weight to construct a multi-dimensional comprehensive evaluation system.
4. The method for evaluating the development feasibility level of the green mine according to claim 3, wherein each dimension index is obtained from a multi-dimensional comprehensive evaluation system, the complex problem is structured by combining a analytic hierarchy process, the ambiguity and the uncertainty in the evaluation process are processed by combining a fuzzy comprehensive evaluation method, a hierarchical evaluation model is established, the specific steps are as follows, Extracting evaluation indexes under each evaluation dimension from a multi-dimension comprehensive evaluation system, numbering and classifying the evaluation indexes according to the dimension, and outputting a classified evaluation index set; Based on the classified evaluation index set, using a hierarchical analysis method to take the classified evaluation index set as a top layer, taking an evaluation dimension as a second layer and taking an evaluation index as a third layer, and constructing a hierarchical structured index system; automatically calculating the weight value of each evaluation dimension and each evaluation index based on the hierarchical structured index system, converting the specific numerical data of each evaluation index into a fuzzy language variable, and calculating the membership value of each evaluation index according to the membership function; and combining the membership value and the weight value, deducing a fuzzy comprehensive evaluation result of each evaluation dimension through fuzzy operation by each evaluation dimension and each evaluation index, and obtaining a hierarchical evaluation model.
5. The method for evaluating the development feasibility of the green mine according to claim 4, wherein the steps of inputting each dimension index into the hierarchical evaluation model for structural decomposition and fuzzy reasoning, outputting the development feasibility score of the mine are as follows, Inputting the evaluation indexes of each evaluation dimension and the corresponding weight values into a hierarchical evaluation model, classifying, sorting and hierarchically decomposing each evaluation index, and outputting dimension structure data; According to the dimension structure data and the membership value of each evaluation index, carrying out fuzzy comprehensive evaluation on each evaluation dimension by adopting a fuzzy reasoning algorithm, and calculating the comprehensive fuzzy score of each evaluation dimension; and carrying out weighted average on all the comprehensive fuzzy scores in combination with the dimension weights, and calculating the mine development feasibility score.
6. The method for evaluating the feasibility of developing a green mine according to claim 1, wherein the preliminary development feasibility level is determined by setting a feasibility score section based on the mine development feasibility score distribution, comparing the mine development feasibility score with the feasibility score section, and determining the section to which the mine development feasibility score belongs.
7. The method for evaluating the development feasibility level of the green mine according to claim 6, wherein the environment, economy and social benefits of the development activities of the mine are quantified by a full life cycle evaluation method based on the development feasibility score and the preliminary development feasibility level of the mine, and a comprehensive benefit quantification result is output, specifically comprising the following steps of, Determining the life cycle stages of mine development according to the mine development feasibility score and the preliminary development feasibility grade, and distributing corresponding stage weight values for each life cycle stage; Defining environmental, economic and social benefit quantification indexes of each life cycle stage according to each life cycle stage of the mine development activity, and obtaining corresponding benefit indexes; Calculating the environmental, economic and social benefit scores of each life cycle stage by combining the stage weight values and the benefit indexes of each life cycle stage; and integrating the environmental, economic and social benefit scores of each life cycle stage into a comprehensive benefit quantification result of mine development.
8. The method for evaluating the development feasibility of the green mine according to claim 7, wherein the comprehensive benefit quantification result is divided by a multi-dimensional hierarchy to obtain the development feasibility of the mine, specifically comprising the following steps of, Setting a multi-dimensional benefit dividing standard according to each comprehensive benefit quantization result, defining different benefit intervals for each comprehensive benefit quantization result, and dividing the intervals according to the multi-dimensional benefit dividing standard to obtain a plurality of hierarchy results; defining environmental benefits as primary dimensions according to the hierarchical result of each benefit dimension, economic benefits as secondary dimensions, social benefits as third priority dimensions, and obtaining priority orders; and merging the plurality of hierarchy results according to the priority order through a hierarchy merging rule to obtain the mine development feasibility level.
9. A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the computer program is characterized in that the processor executes the computer program to realize the steps of the method for evaluating the green mine development feasibility level according to any one of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method for evaluating a green mine development feasibility level according to any one of claims 1 to 8.

Description

Method, equipment and medium for evaluating development feasibility level of green mine Technical Field The invention relates to the technical field of green mine development, in particular to a method, equipment and medium for evaluating the feasibility level of green mine development. Background In recent years, as the global attention to green sustainable development is continuously deepened, the problem of sustainable development of the mining industry is gradually becoming an important research point in academia and industry. Particularly, due to limited resources, severe mining environment and possible influence on an ecological system, how to realize environmental protection, resource conservation and social harmony while ensuring economic benefits becomes a challenge to be solved in the mining industry. At present, in the gold mining process, technical means for evaluating the development feasibility and environmental impact of mines are gradually developed from a traditional single economic evaluation method to a multi-dimensional comprehensive evaluation method. For this reason, in recent years, research based on Life Cycle Assessment (LCA) and multidimensional comprehensive assessment models has been paid attention to, and the aim is to provide more comprehensive and scientific decision support for mining. Although existing evaluation methods promote the development of greening of gold mining to some extent, they still have some disadvantages in the data processing and comprehensive evaluation process. In the existing method, mine development and evaluation generally depend on a simpler index system, and multiple influences of mine development on resources, environment, ecology and society are difficult to comprehensively consider. In addition, the existing evaluation system has certain limitations on accuracy and stability of evaluation standards and data processing methods in the face of complex and diverse mining environments, and particularly, in the aspects of processing data noise, ambiguity and uncertainty, the conventional evaluation method is difficult to provide enough support. Therefore, how to scientifically evaluate the feasibility of gold mining under multi-dimensional and complex conditions, especially how to fully consider ecological and social benefits in evaluation, is an important problem in the current technical field. Disclosure of Invention The present invention has been made in view of the above-described problems occurring in the prior art. Therefore, the invention provides an evaluation method for the development feasibility level of the green mine, which solves the problem of the deficiency in the aspects of multi-dimensional influence comprehensive consideration and data noise processing. In order to solve the technical problems, the invention provides the following technical scheme: In a first aspect, the invention provides an evaluation method of a green mine development feasibility level, which comprises the steps of collecting mine development multidimensional evaluation data, and obtaining a mine development data set through data cleaning, denoising and standardization; According to a mine development data set, preliminary definition and classification are carried out from four-dimensional evaluation indexes of resource conservation, environmental friendliness, ecology and harmony of mine cooperation, and a multi-dimensional comprehensive evaluation system is constructed; acquiring each dimension index from a multi-dimensional comprehensive evaluation system, structuring a complex problem by combining a analytic hierarchy process, processing ambiguity and uncertainty in the evaluation process by combining a fuzzy comprehensive evaluation method, and establishing a hierarchical evaluation model; inputting each dimension index into a hierarchical evaluation model for structural decomposition and fuzzy reasoning, outputting a mine development feasibility score, and dividing a preliminary development feasibility grade; based on the mine development feasibility score and the preliminary development feasibility grade, the environment, economy and social benefits of the mine development activities are quantified by adopting a full life cycle evaluation method, and a comprehensive benefit quantification result is output; and dividing the comprehensive benefit quantification result through a multi-dimensional hierarchy to obtain the mine development feasibility level. As a preferable scheme of the method for evaluating the green mine development feasibility level, the method for acquiring the mine development data set comprises the following specific steps, Checking the multi-dimensional evaluation data of mine development, identifying the missing value and the abnormal value, filling the missing value and correcting the abnormal value, and outputting a cleaned data set; identifying abnormal fluctuation in the cleaned data, removing noise through smoothing processing, corre