CN115660512B - Analysis and treatment method and system for green mine construction - Google Patents
Analysis and treatment method and system for green mine construction Download PDFInfo
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Abstract
The invention discloses an analysis and treatment method and system for green mine construction, which are used for extracting knowledge content from reference knowledge information of green mine construction, constructing a green mine index data set according to the knowledge content and constructing a green mine construction analysis system by combining relevant standards of green mine construction; according to the method, the analysis result is obtained by combining and analyzing the green mine index data and the geological mine geological data, and the weak points in the green mine construction process are determined according to the analysis result, so that the mine treatment scheme is formulated reasonably, and the problems of unsatisfactory mine treatment effect, resource waste and ecological environment damage caused by weak pertinence of the existing mine treatment scheme are solved.
Description
Technical Field
The invention relates to the field of green mine construction, in particular to an analysis and treatment method and system for green mine construction.
Background
Mineral resources are an important material basis upon which humans survive, build and develop. The large-scale development and utilization of mineral products greatly promote the development of human economy and society, bring a series of negative effects such as environmental pollution, landmark subsidence, mineral vibration and the like, the mineral development and environmental maintenance problems are important problems commonly faced by the current world, reasonable, orderly and safe development of mineral resources is the guarantee of keeping the economic growth and maintaining biological environment, and the construction of green mines is proposed when the mine industry implements the concept of ecological civilization. In the whole process of mineral resource development, scientific and orderly exploitation is implemented, disturbance to mining areas and surrounding ecological environments is controlled within a controllable range, and mines with mining area environment ecology, scientific exploitation mode, high efficiency of resource utilization, enterprise management standardization and mining area community harmony are realized.
At present, the mine is usually shut down directly after exploitation, which has great influence on natural landscape and ecological environment construction, meanwhile, the exploited mine is not treated or is simply treated and constructed, and also has certain potential safety hazard, a series of geological disasters occur, the safety of surrounding residents is influenced,
Therefore, the following problems also exist in the construction process of green mines:
1. the existing green mine construction process lacks a reasonable and accurate green mine construction analysis system, so that a mine treatment scheme cannot be formulated reasonably.
2. The existing mine treatment scheme has weak pertinence, so that the mine treatment effect is not ideal, and resource waste and ecological environment damage are formed.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an analysis and treatment method and system for green mine construction.
In a first aspect, the application provides an analysis and treatment method for green mine construction, which comprises the following steps:
setting a reference knowledge information selection range, and screening out the reference knowledge information related to green mine construction from a reference knowledge information database according to the reference knowledge information selection range;
Carrying out knowledge extraction on the reference knowledge information related to the green mine construction, and finishing the extracted knowledge content to construct a green mine index data set;
selecting a target mine area, and acquiring corresponding high-resolution remote sensing radar data and aerial survey live-action data according to the target mine area;
modeling the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model;
collecting corresponding green mine geological data according to the green mine three-dimensional model;
combining and analyzing the green mine geological data and index parameters in the green mine index data set to obtain an analysis result in the mine construction process;
And formulating a targeted governance scheme based on the analysis result.
Further, the knowledge extraction is performed on the reference knowledge information related to green mine construction, and the green mine index data set is constructed after the extracted knowledge content is arranged, including:
randomly selecting a preset number of reference knowledge information from the reference knowledge information related to green mine construction to form a corpus training library, and performing model training according to the corpus training library to obtain a green mine knowledge extraction model;
Carrying out knowledge extraction on the reference knowledge information related to green mine construction through the green mine knowledge extraction model to obtain knowledge content to be tidied;
carrying out standardized word matching on the knowledge content to be processed according to a green mine knowledge dictionary, and carrying out knowledge processing on the matched standardized words to obtain processed green mine knowledge;
And extracting index knowledge from the sorted green mine knowledge, and constructing a green mine index data set according to the extracted index knowledge.
Further, the modeling processing is performed on the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model, which comprises the following steps:
the high-resolution remote sensing radar data comprise regional geographic information, and the aerial survey live-action data comprise scene images of the target mine region;
importing the regional geographic information into three-dimensional software to generate an intermediate three-dimensional model;
preprocessing the scene image to obtain a preprocessed scene image;
Marking the regional position coordinates of the target mine region on the intermediate three-dimensional model according to the preprocessing scene image so as to obtain an irregular triangular mesh model;
And carrying out data laminating treatment based on the irregular triangular mesh model and the middle three-dimensional model to obtain the green mine three-dimensional model.
Further, in the process of acquiring the corresponding green mine geological data according to the green mine three-dimensional model,
The green mine three-dimensional model comprises: the method comprises the steps of acquiring corresponding surface data according to a green mine three-dimensional surface model and acquiring corresponding stratum data according to the green mine three-dimensional stratum model;
and respectively acquiring corresponding geological attribute data and geological function data based on the characteristics of the surface data, the stratum data and the geographic position of the target area.
Further, the green mine geological data and index parameters in the green mine index data set are combined and analyzed to obtain an analysis result in the mine construction process, which comprises,
Constructing a green mine construction analysis system;
determining a green mine geological index according to the green mine geological data, and determining a green mine standard index according to the green mine index data set;
and calculating an analysis result layer by combining the green mine geological index and the green mine standard index, so as to obtain an analysis result.
Further, the construction of the green mine construction analysis system comprises the following steps:
the green mine construction analysis system comprises an analysis result layer, a green mine standard index layer and a green mine geological index layer, wherein the standard index layer and the geological index layer jointly form an influence factor of the analysis result layer.
Further, the determining a green mine geological index according to the green mine geological data, and determining a green mine standard index according to the green mine index dataset, includes:
Determining a green mine standard index according to the green mine index data set, wherein the green mine standard index forms a green mine standard index layer, and the green mine standard index layer comprises mining area greening coverage rate, mining yield, mine resource utilization rate, pollutant emission rate and pollutant treatment rate;
And determining the green mine geological index according to the green mine geological data, wherein the green mine geological index forms the green mine geological index layer, and the green mine geological index layer comprises a mining area greening area, a mining area non-greening area, a mining distribution density, a mining grade, mining area geology, a pollutant type, a pollutant concentration, a pollutant distribution range and a wastewater utilization amount.
Further, the calculating the analysis result layer by combining the green mine geological index and the green mine standard index to obtain an analysis result includes:
constructing a comparison judgment matrix according to the analysis result layer, the green mine geological index layer and the green mine standard index layer;
and calculating an analysis result layer according to the comparison judgment matrix, thereby obtaining an analysis result.
Further, the method for preparing the targeted treatment scheme based on the analysis result comprises the steps of obtaining scheme defects of the current green mine construction treatment scheme according to the analysis result, and carrying out targeted adjustment according to the scheme defects.
In a second aspect, the application provides an analysis and treatment system for green mine construction: comprising
The data acquisition module is used for setting a reference knowledge information selection range and screening out the reference knowledge information related to green mine construction from a reference knowledge information database according to the reference knowledge information selection range;
the green mine index data set construction module is used for carrying out knowledge extraction on the reference knowledge information related to green mine construction, and constructing a green mine index data set after finishing the extracted knowledge content;
the mine data acquisition module is used for selecting a target mine area and acquiring corresponding high-resolution remote sensing radar data and aerial survey live-action data according to the target mine area;
the green mine three-dimensional model building module is used for carrying out modeling treatment on the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model;
The geological data acquisition module is used for acquiring corresponding green mine geological data according to the green mine three-dimensional model;
the data analysis module is used for carrying out combination analysis on the green mine geological data and index parameters in the green mine index data set to obtain an analysis result in the mine construction process;
And the scheme making module is used for making a targeted treatment scheme based on the analysis result.
The invention has the beneficial effects that:
Extracting knowledge content from reference knowledge information of green mine construction, constructing a green mine index data set according to the knowledge content, and constructing a green mine construction analysis system by combining relevant standards of green mine construction; according to the method, the analysis result is obtained by combining and analyzing the green mine index data and the geological mine geological data, and the weak points in the green mine construction process are determined according to the analysis result, so that the mine treatment scheme is formulated reasonably, and the problems of unsatisfactory mine treatment effect, resource waste and ecological environment damage caused by weak pertinence of the existing mine treatment scheme are solved.
Drawings
Fig. 1 is a general flow chart of the present invention.
Fig. 2 is a flowchart of green mine index dataset construction.
Fig. 3 is a flow chart of green mine three-dimensional model construction.
FIG. 4 is a flow chart of a treatment plan evaluation analysis.
Fig. 5 is a functional block diagram of the system of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In a first aspect, the present application provides an analysis and treatment method for green mine construction, as shown in fig. 1, including the following steps:
s100: setting a reference knowledge information selection range, and screening out the reference knowledge information related to green mine construction from a reference knowledge information database according to the reference knowledge information selection range;
The selection of the information content of the reference knowledge is determined based on different directions of the information content (including mine management, mine environmental protection, mine exploitation, mine planning and the like).
S200: carrying out knowledge extraction on the reference knowledge information related to green mine construction, and finishing the extracted knowledge content to construct a green mine index data set;
As shown in fig. 2, S201: randomly selecting a preset number of reference knowledge information from the reference knowledge information related to green mine construction to form a corpus training library, and performing model training according to the corpus training library to obtain a green mine knowledge extraction model;
Screening out the reference knowledge information related to green mine construction according to the screening category, randomly selecting part of the reference knowledge information from the target reference knowledge information to train a green mine knowledge extraction model, wherein an algorithm used by the green mine knowledge extraction model possibly changes according to a knowledge mode corresponding to the type of content knowledge in the extracted reference knowledge information related to green mine construction, namely the green mine knowledge extraction model can be divided into two parts including noun knowledge and sentence knowledge;
the entity categories in the noun knowledge include mine environment, mineral development mode, mineral comprehensive utilization, energy conservation and emission reduction, intelligent mine and green mine, for example: the mine environment also comprises mineral capacity and appearance, the mineral development mode also comprises labor efficiency, mining recovery rate and land reclamation rate, the mineral comprehensive utilization comprises production process and technology, mine resource utilization rate and waste water utilization rate, the intelligent mine comprises technological innovation and mine digitalization, and the green mine comprises mining area greening coverage rate and the like;
The relationship category in noun knowledge includes inheritance relationships, attribute relationships, and the like. Inheritance relationships are relationship categories that represent the relationship of the upper and lower affiliations between entity categories; an attribute relationship is a relationship category that represents a specific, related attribute under an entity category.
Statement knowledge is knowledge related to mine planning steps and/or mine exploitation steps and/or mine remediation steps, and is specifically classified into a condition class, a sequence class, and a parallel class.
The method comprises the steps that a training corpus is formed by randomly selecting a preset number of reference knowledge information from the reference knowledge information related to green mine construction, and the reference knowledge information and paragraphs or sentences of the reference knowledge information in the corpus are divided into a training set, a testing set and a verification set according to a preset proportion, wherein the preset proportion is preferably 6:2:2.
And then, labeling the samples in the training set according to the knowledge patterns corresponding to the knowledge content of the samples, for example, the knowledge patterns are declarative knowledge, and labeling entity types and relation types of the samples. The preset learning algorithm used by the model in this embodiment may include an LSTM deep learning algorithm;
In the training process, aiming at different entity types, the mine planning step and/or the mine exploitation step and/or the mine treatment step can be divided into a plurality of different sub-models for training, and then the sub-models are integrated into a combined model.
And inputting the samples in the test set to test the accuracy of the model to be tested for the model to be tested, if the accuracy does not exceed a preset threshold value after the test is performed, performing model verification on the model to be tested through a verification set to adjust parameters in the model to be tested, and performing model test on the model to be tested with the parameters adjusted, so that the final green mine knowledge extraction model is obtained.
S202: carrying out knowledge extraction on the reference knowledge information related to green mine construction through the green mine knowledge extraction model to obtain knowledge content to be tidied;
The knowledge of the reference knowledge is primarily extracted through a green mine knowledge extraction model obtained through training, knowledge integration and organization are carried out on the extracted intermediate knowledge content by taking a green mine as a center, and corresponding attribute information is added to each knowledge entity.
The expression form of knowledge in the intermediate knowledge content may be different due to different sources of reference knowledge information, and in order to unify the expression form, standardized processing needs to be performed on the knowledge content to be consolidated. Matching the knowledge content to be tidied with words in a preset knowledge dictionary in a matching mode, wherein the preset knowledge dictionary comprises word ids, word names, word languages, word relations, relational word ids and relational word names, and the word relations comprise synonyms, aliases, common names and the like. By identifying the fields in the knowledge content to be processed, the identified fields can be standard words, synonyms, aliases, common names and the like of the standard words, and non-standard words are converted into standard words to obtain the knowledge content to be processed.
S203: carrying out standardized word matching on the knowledge content to be processed according to a green mine knowledge dictionary, and carrying out knowledge processing on the matched standardized words to obtain processed green mine knowledge;
The expression of partial knowledge may exist in the knowledge content to be consolidated is not clear enough, but on the premise of acquiring the knowledge, a user needs to acquire more clear content, for example, a treatment scheme of a green mine, and what is respectively a planning scheme, a mining scheme and a greening scheme in the clear treatment scheme is needed.
And matching the knowledge content to be sorted with words in a preset fuzzy digestion dictionary in a matching mode, identifying words to be clarified through fields in standardized knowledge information, and converting the words to be clarified into definitions or optional definitions to obtain sorted green mine knowledge.
S204: and extracting index knowledge from the sorted green mine knowledge, and constructing a green mine index data set according to the extracted index knowledge.
According to the relevant standard and in combination with the relevant background of the green mine construction field, extracting index knowledge from the green mine knowledge after finishing, wherein the extracted index knowledge comprises the following steps: mining area greening coverage rate, mining exploitation rate, mine resource utilization rate, pollutant emission rate, pollutant treatment rate and the like.
S300: selecting a target mine area, and acquiring corresponding high-resolution remote sensing radar data and aerial survey live-action data according to the target mine area;
the high-resolution remote sensing radar data comprise regional geographic information, and the aerial survey live-action data comprise scene images of the target mine region;
wherein the regional geographic information and the scene image comprise: information and image data of fracture construction, mine location, vegetation coverage, drilling, exploratory slots, villages, river courses, roads, gradients, elevation differences, and the like.
S400: modeling the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model;
As shown in fig. 3, S410: importing the regional geographic information into three-dimensional software to generate an intermediate three-dimensional model;
s420: preprocessing the scene image to obtain a preprocessed scene image;
Preprocessing the scene photo by using ACDSee and other software to obtain a preprocessed scene image;
S430: marking the regional position coordinates of the target mine region on the intermediate three-dimensional model according to the preprocessing scene image so as to obtain an irregular triangular mesh model;
marking the regional position coordinates of the target mine region on the intermediate three-dimensional model according to the preprocessing scene image so as to obtain a point cloud model of the target mine region, and converting the point cloud model into an irregular triangular mesh model;
S440: and carrying out data laminating treatment based on the irregular triangular mesh model and the middle three-dimensional model to obtain the green mine three-dimensional model.
And based on the irregular triangular mesh model, attaching the acquired data of the surface texture and the vertical texture to the middle three-dimensional model of the area of the historical mine/position selection result, and generating a green mine three-dimensional model.
S500: collecting corresponding green mine geological data according to the green mine three-dimensional model;
The green mine three-dimensional model comprises: the method comprises the steps of acquiring corresponding surface data according to a green mine three-dimensional surface model and acquiring corresponding stratum data according to the green mine three-dimensional stratum model;
and respectively acquiring corresponding geological attribute data and geological function data based on the characteristics of the surface data, the stratum data and the geographic position of the target area.
According to the characteristics of geological properties, geological functions and the like of a target mine area, the earth surface data and stratum data are combined to obtain corresponding geological property data and geological function data, and the geological property data comprise basic geological data, engineering geological data, environmental geological data and mineral geological data;
The basic geological data comprise geologic age attribute data, geologic sedimentary facies attribute data, geologic fracture zone distribution data and the like;
Engineering geological data comprise geological bearing stratum characteristics, geological liquefaction characteristics, geological deformation modulus parameters and the like;
the environmental geological data comprise various soil pollutant concentration isosurface distribution data, similar soil pollutant distribution data, regional total soil pollutant distribution data and the like;
the mineral geological data comprise various mineral grade isosurface distribution data, similar mineral distribution data, all mineral distribution data and the like.
The geological function data includes contaminated geological function data and mined geological function data;
The polluted geological function data comprise a severe polluted geological function area, a moderate polluted geological function area and a low polluted geological function area;
(1) Severely contaminated geological functional areas: an area part containing single soil pollutants with high concentration and large distribution range; ② A region part containing a plurality of types of soil pollutants with medium concentration and large distribution range;
(2) Moderately contaminated geological functional areas: ① A region part containing single soil pollutants with medium concentration and large distribution range; ② The area part containing a plurality of types of soil pollutants with low concentration and wide distribution range.
(3) Low pollution geological functional area: the portions of the region other than the severely contaminated geologic functional area, the moderately contaminated geologic functional area.
Wherein, the standard of "high concentration" can be set as: the concentration of the soil pollutant exceeds 10 times of the three-level standard value specified in the soil environmental quality standard, the concentration is 5 times, and the concentration is 1-3 times.
Wherein the mined geological function data includes superior mined geological function regions, medium mined geological function regions and low mined geological function regions.
(1) Advanced mining of geological functional areas: the mining difficulty is low, the mineral grade is high, and the area part is concentrated in distribution;
(2) Medium mining geological functional areas: ① The mining difficulty is low, the mineral grade is centered and the area part is concentrated in distribution; ② The mining difficulty is low, the mineral grade is high, and the area part is not concentrated.
(3) Lower mining geological functional area: the portions of the region other than the superior mined geologic functional and the medium mined geologic functional.
S600: combining and analyzing the green mine geological data and index parameters in the green mine index data set to obtain an analysis result in the mine construction process;
As shown in fig. 4, S610: constructing a green mine construction analysis system;
The green mine construction analysis system comprises an analysis result layer, a green mine standard index layer and a green mine geological index layer, wherein the standard index layer and the geological index layer jointly form an influence factor of the analysis result layer.
S620: determining a green mine geological index according to the green mine geological data, and determining a green mine standard index according to the green mine index data set;
the method for determining the green mine geological index according to the green mine geological data comprises the steps of:
Determining a green mine standard index according to the green mine index data set, wherein the green mine standard index forms a green mine standard index layer, and the green mine standard index layer comprises mining area greening coverage rate, mining yield, mine resource utilization rate, pollutant emission rate and pollutant treatment rate;
And determining the green mine geological index according to the green mine geological data, wherein the green mine geological index forms the green mine geological index layer, and the green mine geological index layer comprises a mining area greening area, a mining area non-greening area, a mining distribution density, a mining grade, mining area geology, a pollutant type, a pollutant concentration, a pollutant distribution range and a wastewater utilization amount.
S630: and calculating an analysis result layer by combining the green mine geological index and the green mine standard index, so as to obtain an analysis result.
Constructing a comparison judgment matrix according to the analysis result layer, the green mine geological index layer and the green mine standard index layer; and calculating an analysis result layer according to the comparison judgment matrix, thereby obtaining an analysis result.
The relative importance of each layer of indexes is qualitatively described by adopting a scaling method to construct a comparison scale; the comparison scale value includes, in addition to the natural number of 1 to 9, an inverse, the inverse meaning that if the ratio of the importance of the element k to the importance of l is a kl, then the ratio of the importance of the element k to the importance of l is a kl＝1/akl; wherein, in the comparison scale values 1-9, the scale value 1 represents that the two elements are of the same importance compared; the scale value 3 indicates that the former is slightly more important than the latter than two elements; scale value 5 indicates that the former is significantly more important than the latter than two elements; the scale value 7 indicates that the former is of greater importance than the latter, compared to the two elements; the scale value 9 indicates that the former is extremely important compared to the latter, compared to the two elements; scale value 2 represents an intermediate value between the importance of comparing scale values 1 and 3, and scale value 4 represents an intermediate value between the importance of comparing scale values 3 and 5; scale value 6 represents an intermediate value between the importance of comparing scale values 5 and 7; the scale value 8 represents an intermediate value between the importance of comparing the scale values 7 and 9.
The analysis result layer is E, the green mine standard index layer is B, and the green mine geological index layer is D, wherein the green mine standard index layer B comprises the greening coverage rate of the mining areaMineral yield/>Mine resource utilization/>Pollutant emission Rate/>And pollutant treatment Rate/>; Wherein the green mine geological index layer D comprises a mining area greening area/>Area of ore area not greened/>Mineral distribution Density/>Mineral grade/>Geological/>, mining areaContaminant type/>Pollutant concentration/>Pollutant distribution Range/>And wastewater utilization/>Wherein, mining area greening coverage/>Corresponding to the greening area/>, of the mining areaAnd the non-greening area of the mining area/>Mineral yield/>Geological/>, corresponding to the mining areaMine resource utilization/>Corresponding mineral distribution Density/>And mineral grade/>Pollutant emission rate/>Corresponding contaminant type/>Pollutant concentration/>And contaminant distribution range/>Pollutant treatment Rate/>Corresponding to the waste water consumption/>。
The constructed comparison and judgment matrix comprises an analysis result layer E and a green mine standard index layer B comparison matrix and a green mine geological index layer D comparison matrix; the step of calculating the comprehensive evaluation index weight comprises the weight of the green mine geological index layer D relative to the green mine standard index layer B and the weight of the green mine standard index layer B relative to the analysis result layer E.
Establishing an index weight set W i of the green mine standard index layer B; setting a standard index layer of a green mine；
Set weight set of standard index layer index B i of green mineRefers to the importance of each index in the green mine geological index layer D contained in the index B i of the standard layer to the index Bi of the standard layer, and meets the requirements ofWherein i=1, 2, …, n; p=1, 2, …, k; k is the number of indexes in the green mine geological index layer D corresponding to the green mine standard index layer B i.
Standard index layer for green mineAnd (3) carrying out fuzzy comprehensive evaluation on factors:
Wherein R is a comprehensive evaluation membership matrix:
comprehensively evaluating the analysis result layer E according to the green mine standard index layer B to obtain an analysis result:
presetting a first analysis threshold value to be 0.2 according to expert scores, presetting a second analysis threshold value to be 0.6, judging that the current mine treatment scheme is bad if the final value of an analysis result E is smaller than 0.2, judging that the current mine treatment scheme is general if the final value of the analysis result E is [ 0.2-0.6 ], judging that the current mine treatment scheme is good if the final value of the analysis result E is larger than 0.6, and judging that the current mine treatment scheme is good according to the analysis result E in the follow-up process
In the process of green mine construction, the mining area environment construction and resource development mode transformation should be done.
S700: and formulating a targeted governance scheme based on the analysis result.
The method comprises the steps of establishing a targeted treatment scheme based on the analysis result, obtaining scheme defects of a current green mine construction treatment scheme according to the analysis result, and performing targeted adjustment according to the scheme defects, wherein the targeted adjustment comprises the steps of improving mine soil matrix, improving greening coverage rate, reducing pollutant production and the like.
In a second aspect, the application provides an analysis and treatment system for green mine construction, as shown in fig. 5, which comprises a data acquisition module, a data acquisition module and a data analysis module, wherein the data acquisition module is used for setting a reference knowledge information selection range, and screening out reference knowledge information related to green mine construction from a reference knowledge information database according to the reference knowledge information selection range;
the green mine index data set construction module is used for carrying out knowledge extraction on the reference knowledge information related to green mine construction, and constructing a green mine index data set after finishing the extracted knowledge content;
the mine data acquisition module is used for selecting a target mine area and acquiring corresponding high-resolution remote sensing radar data and aerial survey live-action data according to the target mine area;
the green mine three-dimensional model building module is used for carrying out modeling treatment on the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model;
The geological data acquisition module is used for acquiring corresponding green mine geological data according to the green mine three-dimensional model;
the data analysis module is used for carrying out combination analysis on the green mine geological data and index parameters in the green mine index data set to obtain an analysis result in the mine construction process;
And the scheme making module is used for making a targeted treatment scheme based on the analysis result.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and improvements made by those skilled in the art without departing from the present technical solution shall be considered as falling within the scope of the claims.
Claims (7)
1. The analysis and treatment method for the green mine construction is characterized by comprising the following steps of: the method comprises the following steps:
setting a reference knowledge information selection range, and screening out the reference knowledge information related to green mine construction from a reference knowledge information database according to the reference knowledge information selection range;
carrying out knowledge extraction on the reference knowledge information related to green mine construction, and finishing the extracted knowledge content to construct a green mine index data set;
selecting a target mine area, and acquiring corresponding high-resolution remote sensing radar data and aerial survey live-action data according to the target mine area;
modeling the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model;
collecting corresponding green mine geological data according to the green mine three-dimensional model;
Combining and analyzing the green mine geological data and index parameters in the green mine index data set to obtain an analysis result in the mine construction process, wherein the analysis result comprises the steps of constructing a green mine construction analysis system; determining a green mine geological index according to the green mine geological data, determining a green mine standard index according to the green mine index data set, wherein the green mine standard index comprises a green mine standard index layer which comprises mining area greening coverage rate, mining yield, mine resource utilization rate, pollutant emission rate and pollutant treatment rate; determining the green mine geological index according to the green mine geological data, wherein the green mine geological index forms the green mine geological index layer, and the green mine geological index layer comprises a mining area greening area, a mining area non-greening area, a mining distribution density, a mining grade, mining area geology, a pollutant type, a pollutant concentration, a pollutant distribution range and a wastewater utilization amount; calculating an analysis result layer by combining the green mine geological index and the green mine standard index, so as to obtain an analysis result; the method comprises the steps of constructing a comparison judgment matrix according to an analysis result layer, a green mine geological index layer and a green mine standard index layer; calculating an analysis result layer according to the comparison judgment matrix so as to obtain an analysis result;
The relative importance of each layer of indexes is qualitatively described by adopting a scaling method to construct a comparison scale; the comparison scale value includes, in addition to the natural number of 1 to 9, an inverse, the inverse meaning that if the ratio of the importance of the element k to the importance of l is a kl, then the ratio of the importance of the element k to the importance of l is a kl＝1/akl; wherein, in the comparison scale values 1-9, the scale value 1 represents that the two elements are of the same importance compared; the scale value 3 indicates that the former is slightly more important than the latter than two elements; scale value 5 indicates that the former is significantly more important than the latter than two elements; the scale value 7 indicates that the former is of greater importance than the latter, compared to the two elements; the scale value 9 indicates that the former is extremely important compared to the latter, compared to the two elements; scale value 2 represents an intermediate value between the importance of comparing scale values 1 and 3, and scale value 4 represents an intermediate value between the importance of comparing scale values 3 and 5; scale value 6 represents an intermediate value between the importance of comparing scale values 5 and 7; scale value 8 represents an intermediate value between the importance of comparing scale values 7 and 9;
Wherein the analysis result layer is E, the green mine standard index layer is B, and the green mine geological index layer is D, wherein the green mine standard index layer B comprises the greening coverage rate of the mining area Mineral yield/>Mine resource utilization/>Pollutant emission Rate/>And pollutant treatment Rate/>; Wherein the green mine geological index layer D comprises a mining area greening area/>Area of ore area not greened/>Mineral distribution Density/>Mineral grade/>Geological/>, mining areaContaminant type/>Pollutant concentration/>Pollutant distribution Range/>And wastewater utilization/>Wherein, mining area greening coverage/>Corresponding to the greening area/>, of the mining areaAnd the non-greening area of the mining area/>Mineral yield/>Geological/>, corresponding to the mining areaMine resource utilization/>Corresponding mineral distribution Density/>And mineral grade/>Pollutant emission rate/>Corresponding contaminant type/>Pollutant concentration/>And contaminant distribution range/>Pollutant treatment Rate/>Corresponding to the waste water consumption/>；
The constructed comparison and judgment matrix comprises an analysis result layer E and a green mine standard index layer B comparison matrix and a green mine geological index layer D comparison matrix; the step of calculating the comprehensive evaluation index weight comprises the weight of a green mine geological index layer D relative to a green mine standard index layer B and the weight of the green mine standard index layer B relative to an analysis result layer E;
Establishing an index weight set W i of the green mine standard index layer B; setting a standard index layer of a green mine ；
Set weight set of standard index layer index B i of green mineRefers to the importance of each index in the green mine geological index layer D contained in the index B i of the standard layer to the index Bi of the standard layer, and meets the requirements ofWherein i=1, 2, …, n; p=1, 2, …, k; k is the number of indexes in the green mine geological index layer D corresponding to the green mine standard index layer B i;
Standard index layer for green mine And (3) carrying out fuzzy comprehensive evaluation on factors:
Wherein R is a comprehensive evaluation membership matrix:
comprehensively evaluating the analysis result layer E according to the green mine standard index layer B to obtain an analysis result:
Presetting a first analysis threshold value to be 0.2 and a second analysis threshold value to be 0.6 according to expert scores, judging that the current mine treatment scheme is poor if the final value of an analysis result E is smaller than 0.2, judging that the current mine treatment scheme is general if the final value of the analysis result E is [ 0.2-0.6 ], and judging that the current mine treatment scheme is good if the final value of the analysis result E is larger than 0.6;
And formulating a targeted governance scheme based on the analysis result.
2. The analytical governance method for green mine construction according to claim 1, wherein: the method for carrying out knowledge extraction on the reference knowledge information related to green mine construction, and constructing a green mine index data set after finishing the extracted knowledge content comprises the following steps:
randomly selecting a preset number of reference knowledge information from the reference knowledge information related to green mine construction to form a corpus training library, and performing model training according to the corpus training library to obtain a green mine knowledge extraction model;
Carrying out knowledge extraction on the reference knowledge information related to green mine construction through the green mine knowledge extraction model to obtain knowledge content to be tidied;
carrying out standardized word matching on the knowledge content to be processed according to a green mine knowledge dictionary, and carrying out knowledge processing on the matched standardized words to obtain processed green mine knowledge;
And extracting index knowledge from the sorted green mine knowledge, and constructing a green mine index data set according to the extracted index knowledge.
3. The analytical governance method for green mine construction according to claim 2, wherein: the modeling processing is carried out on the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model, and the method comprises the following steps:
the high-resolution remote sensing radar data comprise regional geographic information, and the aerial survey live-action data comprise scene images of the target mine region;
importing the regional geographic information into three-dimensional software to generate an intermediate three-dimensional model;
preprocessing the scene image to obtain a preprocessed scene image;
Marking the regional position coordinates of the target mine region on the intermediate three-dimensional model according to the preprocessing scene image so as to obtain an irregular triangular mesh model;
And carrying out data laminating treatment based on the irregular triangular mesh model and the middle three-dimensional model to obtain the green mine three-dimensional model.
4. The analytical governance method for green mine construction according to claim 3, wherein: in the process of collecting the corresponding green mine geological data according to the green mine three-dimensional model,
The green mine three-dimensional model comprises: the method comprises the steps of acquiring corresponding surface data according to a green mine three-dimensional surface model and acquiring corresponding stratum data according to the green mine three-dimensional stratum model;
and respectively acquiring corresponding geological attribute data and geological function data based on the characteristics of the surface data, the stratum data and the geographic position of the target area.
5. The analytical governance method for green mine construction according to claim 4, wherein: the construction of the green mine construction analysis system comprises the following steps:
the green mine construction analysis system comprises an analysis result layer, a green mine standard index layer and a green mine geological index layer, wherein the standard index layer and the geological index layer jointly form an influence factor of the analysis result layer.
6. The analytical governance method for green mine construction according to claim 5, wherein the method comprises the steps of: and formulating a targeted treatment scheme based on the analysis result, wherein the method comprises the steps of obtaining scheme defects of the current green mine construction treatment scheme according to the analysis result, and performing targeted adjustment according to the scheme defects.
7. An analysis and treatment system for green mine construction, which is characterized in that: comprising
The data acquisition module is used for setting a reference knowledge information selection range and screening out the reference knowledge information related to green mine construction from a reference knowledge information database according to the reference knowledge information selection range;
the green mine index data set construction module is used for carrying out knowledge extraction on the reference knowledge information related to green mine construction, and constructing a green mine index data set after finishing the extracted knowledge content;
the mine data acquisition module is used for selecting a target mine area and acquiring corresponding high-resolution remote sensing radar data and aerial survey live-action data according to the target mine area;
the green mine three-dimensional model building module is used for carrying out modeling treatment on the green mine of the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a green mine three-dimensional model;
The geological data acquisition module is used for acquiring corresponding green mine geological data according to the green mine three-dimensional model;
The data analysis module is used for carrying out combination analysis on the green mine geological data and index parameters in the green mine index data set to obtain an analysis result in the mine construction process, and the analysis result comprises the steps of constructing a green mine construction analysis system; determining a green mine geological index according to the green mine geological data, determining a green mine standard index according to the green mine index data set, wherein the green mine standard index comprises a green mine standard index layer which comprises mining area greening coverage rate, mining yield, mine resource utilization rate, pollutant emission rate and pollutant treatment rate; determining the green mine geological index according to the green mine geological data, wherein the green mine geological index forms the green mine geological index layer, and the green mine geological index layer comprises a mining area greening area, a mining area non-greening area, a mining distribution density, a mining grade, mining area geology, a pollutant type, a pollutant concentration, a pollutant distribution range and a wastewater utilization amount; calculating an analysis result layer by combining the green mine geological index and the green mine standard index, so as to obtain an analysis result; the method comprises the steps of constructing a comparison judgment matrix according to an analysis result layer, a green mine geological index layer and a green mine standard index layer; calculating an analysis result layer according to the comparison judgment matrix so as to obtain an analysis result; the relative importance of each layer of indexes is qualitatively described by adopting a scaling method to construct a comparison scale; the comparison scale value includes, in addition to the natural number of 1 to 9, an inverse, the inverse meaning that if the ratio of the importance of the element k to the importance of l is a kl, then the ratio of the importance of the element k to the importance of l is a kl＝1/akl; wherein, in the comparison scale values 1-9, the scale value 1 represents that the two elements are of the same importance compared; the scale value 3 indicates that the former is slightly more important than the latter than two elements; scale value 5 indicates that the former is significantly more important than the latter than two elements; the scale value 7 indicates that the former is of greater importance than the latter, compared to the two elements; the scale value 9 indicates that the former is extremely important compared to the latter, compared to the two elements; scale value 2 represents an intermediate value between the importance of comparing scale values 1 and 3, and scale value 4 represents an intermediate value between the importance of comparing scale values 3 and 5; scale value 6 represents an intermediate value between the importance of comparing scale values 5 and 7; scale value 8 represents an intermediate value between the importance of comparing scale values 7 and 9; wherein the analysis result layer is E, the green mine standard index layer is B, and the green mine geological index layer is D, wherein the green mine standard index layer B comprises the greening coverage rate of the mining area Mineral yield/>Mine resource utilization/>Rate of pollutant emissionAnd pollutant treatment Rate/>; Wherein the green mine geological index layer D comprises a mining area greening area/>Area of ore area not greened/>Mineral distribution Density/>Mineral grade/>Geological/>, mining areaContaminant type/>Pollutant concentration/>Pollutant distribution Range/>And wastewater utilization/>Wherein, mining area greening coverage/>Corresponding to the greening area/>, of the mining areaAnd the non-greening area of the mining area/>Mineral yield/>Geological/>, corresponding to the mining areaMine resource utilization rateCorresponding mineral distribution Density/>And mineral grade/>Pollutant emission rate/>Corresponding contaminant type/>Pollutant concentration/>And contaminant distribution range/>Pollutant treatment Rate/>Corresponding to the waste water consumption/>；
The constructed comparison and judgment matrix comprises an analysis result layer E and a green mine standard index layer B comparison matrix and a green mine geological index layer D comparison matrix; the step of calculating the comprehensive evaluation index weight comprises the weight of a green mine geological index layer D relative to a green mine standard index layer B and the weight of the green mine standard index layer B relative to an analysis result layer E;
Establishing an index weight set W i of the green mine standard index layer B; setting a standard index layer of a green mine ；
Set weight set of standard index layer index B i of green mineRefers to the importance of each index in the green mine geological index layer D contained in the index B i of the standard layer to the index Bi of the standard layer, and meets the requirements ofWherein i=1, 2, …, n; p=1, 2, …, k; k is the number of indexes in the green mine geological index layer D corresponding to the green mine standard index layer B i;
Standard index layer for green mine And (3) carrying out fuzzy comprehensive evaluation on factors:
Wherein R is a comprehensive evaluation membership matrix:
comprehensively evaluating the analysis result layer E according to the green mine standard index layer B to obtain an analysis result:
Presetting a first analysis threshold value to be 0.2 and a second analysis threshold value to be 0.6 according to expert scores, judging that the current mine treatment scheme is poor if the final value of an analysis result E is smaller than 0.2, judging that the current mine treatment scheme is general if the final value of the analysis result E is [ 0.2-0.6 ], and judging that the current mine treatment scheme is good if the final value of the analysis result E is larger than 0.6;
And the scheme making module is used for making a targeted treatment scheme based on the analysis result.
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