CN115660512A - Analysis and treatment method and system for green mine construction - Google Patents
Analysis and treatment method and system for green mine construction Download PDFInfo
- Publication number
- CN115660512A CN115660512A CN202211692235.2A CN202211692235A CN115660512A CN 115660512 A CN115660512 A CN 115660512A CN 202211692235 A CN202211692235 A CN 202211692235A CN 115660512 A CN115660512 A CN 115660512A
- Authority
- CN
- China
- Prior art keywords
- mine
- green mine
- green
- data
- index
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 86
- 238000010276 construction Methods 0.000 title claims abstract description 85
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000008569 process Effects 0.000 claims abstract description 15
- 238000005065 mining Methods 0.000 claims description 47
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 31
- 239000011707 mineral Substances 0.000 claims description 31
- 239000003344 environmental pollutant Substances 0.000 claims description 22
- 231100000719 pollutant Toxicity 0.000 claims description 19
- 238000000605 extraction Methods 0.000 claims description 17
- 238000012549 training Methods 0.000 claims description 16
- 239000011159 matrix material Substances 0.000 claims description 11
- 230000001788 irregular Effects 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 8
- 230000007547 defect Effects 0.000 claims description 7
- 239000002351 wastewater Substances 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 4
- 239000002699 waste material Substances 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 15
- 239000000356 contaminant Substances 0.000 description 8
- 238000011161 development Methods 0.000 description 7
- 239000002689 soil Substances 0.000 description 5
- 239000003802 soil pollutant Substances 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 238000012795 verification Methods 0.000 description 3
- 241000282414 Homo sapiens Species 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000002372 labelling Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 208000035126 Facies Diseases 0.000 description 1
- 238000012356 Product development Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses an analysis and treatment method and system for green mine construction, wherein knowledge content is extracted from reference knowledge information of the green mine construction, a green mine index data set is constructed according to the knowledge content, and a green mine construction analysis system is constructed by combining relevant standards of the green mine construction; the analysis result is obtained by combining and analyzing the green mine index data and the geological mine geological data, and the weak point in the green mine construction process is determined according to the analysis result, so that a mine treatment scheme is reasonably formulated, and the problems of resource waste and ecological environment damage caused by unsatisfactory mine treatment effect due to 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 the important material basis on which human beings live, build and develop. The large-scale development and utilization of mineral products greatly promote the development of human economy and society, and bring a series of negative effects such as environmental pollution, landmark subsidence, mineral earthquake and the like, the problems of mineral product development and environmental maintenance are major problems facing the world at present, and the reasonable, orderly and safe development of mineral resources is the guarantee of keeping economic growth and maintaining biological environment, wherein the mine industry proposes the construction of green mines when implementing the concept of 'ecological civilization'. In the whole process of mineral resource development, scientific and orderly mining is implemented, the disturbance of the mining area and the surrounding ecological environment is controlled within a controllable range, and the mines with ecological mining area environment, scientific mining mode, high resource utilization efficiency, enterprise management standardization and harmonious mining area community are realized.
At present, most of mines are directly shut down after mining, which causes great influence on natural landscape and ecological environment construction, meanwhile, the mined mines have certain potential safety hazards without treatment or simple treatment construction, 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 reasonably formulated.
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 caused.
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.
The application of the first aspect 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 reference knowledge information related to green mine construction from a reference knowledge information database according to the reference knowledge information selection range;
performing knowledge extraction on the reference knowledge information related to the green mine construction, and organizing 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 a green mine in a target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a three-dimensional model of the green mine;
collecting corresponding green mine geological data according to the green mine three-dimensional model;
combining and analyzing the green mine geological data and the index parameters in the green mine index data set to obtain an analysis result in the mine construction process;
and formulating a targeted treatment scheme based on the analysis result.
Further, the method for extracting knowledge of reference knowledge information related to green mine construction, and constructing a green mine index data set after arranging the extracted knowledge content includes:
randomly selecting a preset amount of reference knowledge information from the reference knowledge information related to the 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;
performing knowledge extraction on reference knowledge information related to green mine construction through the green mine knowledge extraction model to obtain knowledge content to be collated;
carrying out standardized word matching on the knowledge content to be sorted according to a green mine knowledge dictionary, and carrying out knowledge sorting on the matched standardized words to obtain sorted green mine knowledge;
and extracting index knowledge of 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 in the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data, and a three-dimensional model of the green mine is obtained, 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 a middle three-dimensional model;
preprocessing the scene image to obtain a preprocessed scene image;
marking the region position coordinates of the target mine region on the middle three-dimensional model according to the preprocessing scene image to obtain an irregular triangulation network model;
and performing data fitting treatment based on the irregular triangulation network model and the middle three-dimensional model to obtain a green mine three-dimensional model.
Furthermore, in the corresponding green mine geological data collected according to the green mine three-dimensional model,
the green mine three-dimensional model comprises: the method comprises the steps that a green mine three-dimensional surface model and a green mine three-dimensional stratum model are used, corresponding surface data are obtained according to the green mine three-dimensional surface model, and corresponding stratum data are obtained 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 earth surface data, the stratum data and the geographic position of the target area.
Further, the green mine geological data and the index parameters in the green mine index data set are combined and analyzed to obtain the analysis result in the mine construction process, including,
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, thereby obtaining an analysis result.
Further, the method for constructing 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 influence factors 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 a mining area greening coverage rate, a mining rate, a mine resource utilization rate, a pollutant discharge rate and a pollutant treatment rate;
and determining the green mine geological index according to the green mine geological data, wherein the green mine geological index forms a green mine geological index layer, and the green mine geological index layer comprises a mining area greening area, a mining area non-greening area, mineral distribution density, mineral grade, mining area geology, pollutant types, pollutant concentration, pollutant distribution range and waste water utilization amount.
Further, the calculating an analysis result layer by combining the green mine geological index and the green mine standard index to obtain an analysis result, including:
establishing 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 so as to obtain an analysis result.
And further, formulating a targeted treatment scheme based on the analysis result, wherein the targeted treatment scheme comprises 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.
The application provides an analysis and treatment system for green mine construction: comprises that
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 extracting knowledge of reference knowledge information related to green mine construction, and constructing a green mine index data set after the extracted knowledge content is sorted;
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 modeling a green mine in a 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 performing combined analysis on the green mine geological data and the 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 the green mine construction; the analysis result is obtained by combining and analyzing the green mine index data and the geological mine geological data, and the weak point in the green mine construction process is determined according to the analysis result, so that a mine treatment scheme is reasonably formulated, and the problems of resource waste and ecological environment damage caused by unsatisfactory mine treatment effect due to weak pertinence of the existing mine treatment scheme are solved.
Drawings
FIG. 1 is a general flow diagram of the present invention.
FIG. 2 is a flow chart of green mine index data set construction.
FIG. 3 is a flow chart of the construction of a three-dimensional model of a green mine.
FIG. 4 is a flow chart of the treatment protocol evaluation analysis.
FIG. 5 is a schematic 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 analytical 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 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 reference knowledge information content is selected and determined based on different directions (including mine treatment, mine environmental protection, mine exploitation, mine planning and the like) of the information content.
S200: carrying out knowledge extraction on reference knowledge information related to green mine construction, and constructing a green mine index data set after arranging extracted knowledge contents;
as shown in fig. 2, S201: randomly selecting a preset amount of reference knowledge information from the reference knowledge information related to the 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 reference knowledge information related to green mine construction according to the screening categories, and then 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 may change 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;
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 mining environment comprises mine appearance, the mining development mode comprises man-average work efficiency, mining recovery rate and land reclamation rate, the comprehensive utilization of the mineral comprises production process and technology, mine resource utilization rate and waste water utilization rate, the intelligent mine comprises scientific innovation and mine digitization, and the green mine comprises mining area greening coverage rate and the like;
the relationship category in noun knowledge includes inheritance relationship, attribute relationship, and the like. The inheritance relationship is a relationship category which represents the relationship of upper and lower belongings among entity categories; an attribute relationship is a relationship class that represents a specific, related attribute under an entity class.
The sentence knowledge is knowledge related to a mine planning step and/or a mine mining step and/or a mine governing step, and is specifically classified into a condition class, a sequence class and a parallel class.
The method includes the steps that a training corpus is formed by a preset number of pieces of reference knowledge information randomly selected from reference knowledge information related to green mine construction, the reference knowledge information in the corpus and paragraphs or sentences of the reference knowledge information are divided into a training set, a testing set and a verification set according to a preset proportion, and the preset proportion is preferably 6.
And then, labeling the samples in the training set according to a knowledge mode corresponding to the knowledge content of the samples, for example, labeling entity categories and relationship categories for the samples if the knowledge mode is declarative knowledge. The preset learning algorithm used by the model in the embodiment may include an LSTM deep learning algorithm;
in the training process, different entity types, mine planning steps and/or mine mining steps and/or mine treatment steps 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 samples in the test set for the model to be tested obtained through training to test the accuracy of 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 the verification set to adjust parameters in the model to be tested, performing model test on the model to be tested with the parameters adjusted, and repeating the steps to obtain the final green mine knowledge extraction model.
S202: performing knowledge extraction on reference knowledge information related to green mine construction through the green mine knowledge extraction model to obtain knowledge content to be collated;
the method comprises the steps that knowledge is preliminarily extracted from reference knowledge information through a green mine knowledge extraction model obtained through training, extracted intermediate knowledge content is subjected to knowledge integration and organization 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 reference knowledge information sources, and in order to unify the expression forms, the knowledge content to be collated needs to be standardized. Matching the knowledge content to be sorted with the vocabulary in a preset knowledge dictionary in a matching mode, wherein the preset knowledge dictionary comprises a word id, a word name, a word language, a word relation, a relational word id and a relational word name, and the word relation comprises synonyms, aliases, common names and the like. By identifying the fields in the knowledge content to be sorted, the identified fields may be standard words or synonyms, aliases, common names and the like of the standard words, and all the non-standard words are converted into the standard words to obtain the knowledge content to be sorted.
S203: carrying out standardized word matching on the knowledge content to be sorted according to a green mine knowledge dictionary, and carrying out knowledge sorting on the matched standardized words to obtain sorted green mine knowledge;
the knowledge content to be collated may have a condition that the expression of part of knowledge is not clear and specific, but for a user, under the premise of acquiring knowledge, more clear content needs to be acquired, for example, a governing scheme of a green mine, and what a planning scheme, a mining scheme and a greening scheme are respectively in the governing scheme needs to be clear.
Matching the knowledge content to be sorted with the vocabulary in the preset fuzzy resolution dictionary in a matching mode, and performing word recognition to be clarified on the field in the standardized knowledge information to convert the words to be clarified into definitions or optional definitions so as to obtain the green mine knowledge after sorting.
S204: and extracting index knowledge of the green mine knowledge after finishing, and constructing a green mine index data set according to the extracted index knowledge.
And extracting index knowledge of the green mine knowledge after arrangement according to the relevant standard and by combining with the relevant background in the green mine construction field, wherein the extracted index knowledge comprises the following steps: the greening coverage rate of the mining area, the mining rate of mineral products, the utilization rate of mine resources, the pollutant discharge rate, the 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, regional geographic information and scene image include: information and image data such as fracture structure, mining area position, vegetation coverage, drilling, exploration groove, village, river channel, road, gradient and altitude difference.
S400: modeling the green mine in the target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a three-dimensional model of the green mine;
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 software such as ACDSee and the like to obtain a preprocessed scene image;
s430: marking the region position coordinates of the target mine region on the middle three-dimensional model according to the preprocessing scene image to obtain an irregular triangulation network model;
marking the region position coordinates of the target mine region on the intermediate three-dimensional model according to the preprocessing scene image to obtain a point cloud model of the target mine region, and converting the point cloud model into an irregular triangulation network model;
s440: and performing data fitting treatment based on the irregular triangulation network model and the middle three-dimensional model to obtain a green mine three-dimensional model.
And fitting the acquired data of the surface texture and the vertical texture to a middle three-dimensional model of the region of the historical mine/position selection result based on the irregular triangulation network model to generate 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 that a green mine three-dimensional surface model and a green mine three-dimensional stratum model are used, corresponding surface data are obtained according to the green mine three-dimensional surface model, and corresponding stratum data are obtained 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 earth surface data, the stratum data and the geographic position of the target area.
The method comprises the steps of obtaining corresponding geological attribute data and geological function data by combining surface data and stratum data according to characteristics such as geological attributes, geological functions and the like of a target mine area, wherein the geological attribute data comprises basic geological data, engineering geological data, environmental geological data and mineral geological data;
the basic geological data comprise geological age attribute data, geological sedimentary facies attribute data, geological fracture zone distribution data and the like;
the engineering geological data comprises geological bearing stratum characteristics, geological liquefaction characteristics, geological deformation modulus parameters and the like;
the environmental geological data comprises various soil dye concentration isosurface distribution data, similar soil pollutant distribution data, regional all-soil pollutant distribution data and the like;
the mineral geological data comprises various mineral grade equivalent surface distribution data, similar mineral distribution data, all mineral distribution data and the like.
The geological function data comprises pollution geological function data and exploitation geological function data;
the polluted geological function data comprises a heavily polluted geological function area, a moderately polluted geological function area and a lowly polluted geological function area;
(1) The heavily polluted geological functional area: a region portion containing a single type of soil contaminant having a high concentration and a wide distribution range; (2) the regional part contains various soil pollutants with medium concentration and large distribution range;
(2) Moderately-polluted geological functional areas: (1) a region portion containing a single type of soil contaminant having a medium concentration and a large distribution range; (2) the area part containing various types of soil pollutants with low concentration and large distribution range.
(3) Low-pollution geological functional area: the parts of the area other than the heavily and moderately contaminated geo-functional areas.
The criterion of "high concentration" may be set as: the concentration of the soil pollutants exceeds 10 times of a three-level standard value specified in soil environment quality standard, the concentration can be set to be 5 times, and the concentration can be set to be 1-3 times.
The mining geological function data comprises a superior mining geological function area, a medium mining geological function area and a low mining geological function area.
(1) Preferably exploiting geological functional areas: the mining difficulty is low, the mineral grade is high, and the distribution is concentrated in the area part;
(2) Medium mining of geologic functional zones: (1) the mining difficulty is low, the mineral grade is intermediate, and the distribution is concentrated in the area part; (2) the mining difficulty is low, the mineral product grade is high, and the distribution is not concentrated too much.
(3) Low-grade exploitation of geological functional zones: the area parts except the superior exploitation geological functional area and the medium exploitation geological functional area.
S600: combining and analyzing the green mine geological data and the 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 influence factors 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;
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, wherein the determining comprises the following steps:
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 a mining area greening coverage rate, a mining rate, a mine resource utilization rate, a pollutant discharge rate and a pollutant treatment rate;
and determining the green mine geological index according to the green mine geological data, wherein the green mine geological index forms a green mine geological index layer, and the green mine geological index layer comprises a mining area greening area, a mining area non-greening area, mineral distribution density, mineral grade, mining area geology, pollutant types, pollutant concentration, pollutant distribution range and waste water utilization amount.
S630: and calculating an analysis result layer by combining the green mine geological index and the green mine standard index, thereby obtaining an analysis result.
Establishing 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 so as to obtain an analysis result.
Wherein, a scale method is adopted to qualitatively describe the relative importance of each layer of index to construct a comparison scale; the comparison scale value includes a reciprocal, which means if the ratio of the importance of the elements k to l is a, in addition to natural numbers from 1 to 9 kl Then the ratio of the importance of elements k and l is a kl =1/a kl (ii) a Wherein, in the comparison scale value 1-9, the scale value 1 represents that two elements are compared and has the same importance; scale value 3 indicates that the former is slightly more important than the latter, compared to the two elements; scale value 5 indicates that the former is significantly more important than the latter when compared to the two elements; the scale value 7 indicates that the former is more important than the latter in comparison with the two elements; scale value 9 indicates that the former is extremely important compared to the latter; scale value 2 represents the median of the importance of comparing scale values 1 and 3, and scale value 4 represents the median of 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.
Setting an analysis result layer as E, a green mine standard index layer as B and a green mine geological index layer as D, wherein the green mine standard index layer B comprises the greening coverage rate of a mining areaAnd the mining rate of mineral productsMine resource utilization ratePollutant discharge rateAnd pollutant treating rate(ii) a Wherein the geological index layer D of the green mine comprises a mining area greening areaArea of non-green area of mining areaMineral distribution densityGrade of mineral productGeology of mining areaType of contaminantConcentration of contaminantsRange of distribution of contaminantsAnd the amount of waste water usedWherein the green coverage of the mining areaCorresponding to the greening area of the mining areaArea of non-green area of mine areaMining rate of mineral productionCorresponding to the geology of the mining areaMine resource utilization rateCorresponding mineral distribution densityAnd grade of mineral productsDischarge rate of pollutantsCorresponding to the type of contaminantConcentration of contaminantsAnd extent of distribution of contaminantsRate of treatment of pollutantsCorresponding amount of waste water。
The constructed comparison judgment matrix comprises an analysis result layer E and a green mine standard index layer B comparison matrix, and a green mine standard index layer B and a green mine geological index layer D comparison matrix; in the step of calculating the comprehensive evaluation index weight, 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 are included.
Establishing an index weight set W of a green mine standard index layer B and the green mine standard index layer B i (ii) a Standard index layer for green mine;
Set green mine standard index layer index B i Weight set ofIs a criterion layer index B i The importance of each index in the geological index layer D of the green mine to the index Bi of the standard layer is metWhere i =1,2, …, n; p =1,2, …, k; k is a green mine standard index layer B i And each index number in the corresponding green mine geological index layer D.
wherein, R is a comprehensive evaluation membership matrix:
and 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 of 0.2 and a second analysis threshold value of 0.6 according to expert scores, if the final value of an analysis result E is less than 0.2, judging that the current mine treatment scheme is poor, if the final value of the analysis result E is (0.2-0.6), judging that the current mine treatment scheme is general, if the final value of the analysis result E is more than 0.6, judging that the current mine treatment scheme is excellent, and according to the analysis result E, subsequently judging that the current mine treatment scheme is excellent
In the process of green mine construction, mine area environment construction and resource development mode conversion should be done.
S700: and formulating a targeted treatment scheme based on the analysis result.
And establishing a specific treatment scheme based on the analysis result, wherein the specific treatment scheme comprises the scheme defects of the current green mine construction treatment scheme obtained according to the analysis result, and the specific adjustment is carried out according to the scheme defects, wherein the specific adjustment comprises the steps of improving the mine soil matrix, improving the greening coverage rate, reducing the pollutant generation amount and the like.
The application of the second aspect provides an analysis and treatment system for green mine construction, which comprises a data acquisition module, a data analysis module and a data analysis module, wherein the data acquisition module is used for setting a reference knowledge information selection range and screening 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 extracting knowledge of reference knowledge information related to green mine construction, and constructing a green mine index data set after the extracted knowledge content is sorted;
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 modeling a green mine in a 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 performing combined analysis on the green mine geological data and the 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 above is only a preferred embodiment of the present invention, and it should be noted that several modifications and improvements made by those skilled in the art without departing from the technical solution should also be considered as falling within the scope of the claims.
Claims (10)
1. An analysis and treatment method for green mine construction is characterized in that: the method comprises the following steps:
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;
carrying out knowledge extraction on reference knowledge information related to green mine construction, and constructing a green mine index data set after arranging extracted knowledge contents;
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 a green mine in a target mine area according to the high-resolution remote sensing radar data and the aerial survey live-action data to obtain a three-dimensional model of the green mine;
collecting corresponding green mine geological data according to the green mine three-dimensional model;
combining and analyzing the green mine geological data and the index parameters in the green mine index data set to obtain an analysis result in the mine construction process;
and formulating a targeted treatment scheme based on the analysis result.
2. The analytical treatment method for green mine construction according to claim 1, wherein: the method for extracting knowledge from reference knowledge information related to green mine construction, and constructing a green mine index data set after arranging the extracted knowledge content comprises the following steps:
randomly selecting a preset amount of reference knowledge information from the reference knowledge information related to the 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;
performing knowledge extraction on reference knowledge information related to green mine construction through the green mine knowledge extraction model to obtain knowledge content to be collated;
carrying out standardized word matching on the knowledge content to be sorted according to a green mine knowledge dictionary, and carrying out knowledge sorting on the matched standardized words to obtain sorted green mine knowledge;
and extracting index knowledge of the green mine knowledge after finishing, and constructing a green mine index data set according to the extracted index knowledge.
3. The analytical treatment 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, and a green mine three-dimensional model is obtained, and the modeling processing 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 region position coordinates of the target mine region on the middle three-dimensional model according to the preprocessing scene image to obtain an irregular triangulation network model;
and performing data fitting treatment based on the irregular triangulation network model and the middle three-dimensional model to obtain a green mine three-dimensional model.
4. The analytical treatment method for green mine construction according to claim 3, wherein: in the corresponding green mine geological data collected according to the green mine three-dimensional model,
the green mine three-dimensional model comprises: the method comprises the steps that a green mine three-dimensional surface model and a green mine three-dimensional stratum model are used, corresponding surface data are obtained according to the green mine three-dimensional surface model, and corresponding stratum data are obtained 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 earth surface data, the stratum data and the geographic position of the target area.
5. The analytical treatment method for green mine construction according to claim 4, wherein: analyzing the green mine geological data and the index parameters in the green mine index data set in a combined manner to obtain an analysis result in the mine construction process, including,
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, thereby obtaining an analysis result.
6. The analytical treatment method for green mine construction according to claim 5, 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 influence factors of the analysis result layer.
7. The analytical treatment method for green mine construction according to claim 6, wherein: the determining of the green mine geological index according to the green mine geological data and the determining of the green mine standard index according to the green mine index data set comprise:
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 a mining area greening coverage rate, a mineral exploitation rate, a mine resource utilization rate, a pollutant emission rate and a pollutant treatment rate;
and determining the green mine geological index according to the green mine geological data, wherein the green mine geological index forms a green mine geological index layer, and the green mine geological index layer comprises a mining area greening area, a mining area non-greening area, mineral distribution density, mineral grade, mining area geology, pollutant types, pollutant concentration, pollutant distribution range and waste water utilization amount.
8. The analytical treatment method for green mine construction according to claim 7, wherein: and calculating an analysis result layer by combining the green mine geological index and the green mine standard index, thereby obtaining an analysis result, wherein the analysis result comprises the following steps:
establishing 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 so as to obtain an analysis result.
9. The analytical treatment method for green mine construction according to claim 8, wherein: and formulating a targeted treatment scheme based on the analysis result, wherein the targeted treatment scheme comprises 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.
10. The utility model provides an analysis and treatment system for green mine construction which characterized in that: comprises that
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 extracting knowledge of reference knowledge information related to green mine construction, and constructing a green mine index data set after the extracted knowledge content is sorted;
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 processing on a green mine in a 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 performing combined analysis on the green mine geological data and the 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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211692235.2A CN115660512B (en) | 2022-12-28 | 2022-12-28 | Analysis and treatment method and system for green mine construction |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211692235.2A CN115660512B (en) | 2022-12-28 | 2022-12-28 | Analysis and treatment method and system for green mine construction |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115660512A true CN115660512A (en) | 2023-01-31 |
CN115660512B CN115660512B (en) | 2024-06-04 |
Family
ID=85022294
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211692235.2A Active CN115660512B (en) | 2022-12-28 | 2022-12-28 | Analysis and treatment method and system for green mine construction |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115660512B (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20180055518A (en) * | 2016-11-17 | 2018-05-25 | 한국지질자원연구원 | System and method of 3d mineral prospectivity |
CN108305184A (en) * | 2017-12-22 | 2018-07-20 | 安徽海螺集团有限责任公司 | A kind of number mining softwares platform |
CN109272227A (en) * | 2018-09-11 | 2019-01-25 | 中国地质科学院矿产资源研究所 | Green mine site selection method based on remote sensing data and geographic information system |
CN110210790A (en) * | 2019-06-18 | 2019-09-06 | 北京蓝尊科技有限公司 | A kind of Green Mine construction monitoring and managing method and system |
CN112330168A (en) * | 2020-11-12 | 2021-02-05 | 中国葛洲坝集团易普力股份有限公司 | Green mine construction evaluation method based on fuzzy mathematics and hierarchical analysis |
CN113780719A (en) * | 2021-07-26 | 2021-12-10 | 重庆地质矿产研究院 | Comprehensive evaluation method for mine geological environment |
WO2022251888A1 (en) * | 2021-05-25 | 2022-12-01 | Minerp South Africa (Pty) Limited | System and method for creating, ranking, integrating and implementing plans in a mining and production process |
CN115526544A (en) * | 2022-11-03 | 2022-12-27 | 北京昊华能源股份有限公司 | Green mine construction planning method and system based on multi-type data |
-
2022
- 2022-12-28 CN CN202211692235.2A patent/CN115660512B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20180055518A (en) * | 2016-11-17 | 2018-05-25 | 한국지질자원연구원 | System and method of 3d mineral prospectivity |
CN108305184A (en) * | 2017-12-22 | 2018-07-20 | 安徽海螺集团有限责任公司 | A kind of number mining softwares platform |
CN109272227A (en) * | 2018-09-11 | 2019-01-25 | 中国地质科学院矿产资源研究所 | Green mine site selection method based on remote sensing data and geographic information system |
CN110210790A (en) * | 2019-06-18 | 2019-09-06 | 北京蓝尊科技有限公司 | A kind of Green Mine construction monitoring and managing method and system |
CN112330168A (en) * | 2020-11-12 | 2021-02-05 | 中国葛洲坝集团易普力股份有限公司 | Green mine construction evaluation method based on fuzzy mathematics and hierarchical analysis |
WO2022251888A1 (en) * | 2021-05-25 | 2022-12-01 | Minerp South Africa (Pty) Limited | System and method for creating, ranking, integrating and implementing plans in a mining and production process |
CN113780719A (en) * | 2021-07-26 | 2021-12-10 | 重庆地质矿产研究院 | Comprehensive evaluation method for mine geological environment |
CN115526544A (en) * | 2022-11-03 | 2022-12-27 | 北京昊华能源股份有限公司 | Green mine construction planning method and system based on multi-type data |
Also Published As
Publication number | Publication date |
---|---|
CN115660512B (en) | 2024-06-04 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107038505B (en) | Ore finding model prediction method based on machine learning | |
CN113344050B (en) | Lithology intelligent recognition method and system based on deep learning | |
CN102184423B (en) | Full-automatic method for precisely extracting regional impervious surface remote sensing information | |
CN111062544A (en) | Prediction method for uranium mineralization distant scenic region | |
CN114138923B (en) | Method for constructing geological map knowledge graph | |
CN110544286B (en) | Large-scale-range site rapid classification method and device for constructing site classification map | |
CN105467449A (en) | Deep thin interbedded reservoir quantitative characterization method based on seismic grading sensitive attribute fusion | |
CN115248863A (en) | Oil-gas geology evaluation method and system based on knowledge map | |
CN111257962A (en) | Method for positioning and predicting ore body by using three-dimensional geological modeling technology | |
CN116797083A (en) | Coalbed methane investigation and development method and system | |
Yu et al. | Downscaling mapping method for local climate zones from the perspective of deep learning | |
CN117743620B (en) | Large rock-soil intelligent counting system | |
Sun et al. | Research on the traditional zoning, evolution, and integrated conservation of village cultural landscapes based on “production-living-ecology spaces”–A case study of villages in Meicheng, Guangdong, China | |
CN113656868A (en) | BIM technology-based hospital construction collaborative management platform | |
CN115660512B (en) | Analysis and treatment method and system for green mine construction | |
CN115526544A (en) | Green mine construction planning method and system based on multi-type data | |
Briggs et al. | Pattern recognition applied to uranium prospecting | |
CN115619275A (en) | Railway engineering ecological restoration decision-making method and device | |
Ma et al. | Finding a Trend Out of Chaos, A Machine Learning Approach for Well Spacing Optimization | |
CN115457386A (en) | Village land informatization generation method | |
Zhong et al. | Local Climate Zone Mapping by Coupling Multi-Level Features with Prior Knowledge Based on Remote Sensing Images | |
Li et al. | Research on Intelligent Recognition of Violation Based on Big Data of Urban Construction | |
Griewank et al. | Size‐Dependent Characteristics of Surface‐Rooted Three‐Dimensional Convective Objects in Continental Shallow Cumulus Simulations | |
Cao et al. | Study on inferring interwell connectivity of injection-production system based on decision tree | |
CN111709189A (en) | Copper ore deposit scale prediction method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |