CN116431567A - Coal rock data acquisition, management and evaluation method based on digital rock mechanics - Google Patents
Coal rock data acquisition, management and evaluation method based on digital rock mechanics Download PDFInfo
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Abstract
The invention relates to the field of coal mine coal rock digitizing technology and application, in particular to a coal rock data acquisition, management and evaluation method based on digital rock mechanics. The method comprises the steps of obtaining a coal core sample, recording drilling sampling information and coal core sample information, collecting basic physical properties and mesoscopic structural parameters of the coal core, collecting mechanical index parameters of the coal core, constructing a digital coal core library, and carrying out rapid nondestructive evaluation on the mechanical index parameters of the coal core. The invention improves the management efficiency of coal rock data and the capability of data depth application analysis, and reduces the land and cost required by building the entity coal core library; the method has the advantages that various functional modules are provided, so that the three-dimensional structure inside the coal core can be conveniently and quickly accessed and checked, and related parameters can be conveniently and quickly checked; the invention also improves the precision and efficiency of the evaluation of the mechanical index parameters of the coal core, and provides a rapid and efficient decision support for mining design, safety evaluation, disaster prevention and control and other works required in the coal development process.
Description
Technical Field
The invention relates to the field of coal mine coal rock digitizing technology and application, in particular to a coal rock data acquisition, management and evaluation method based on digital rock mechanics.
Background
The coal core is the most important physical geological data reflecting the underground geology and mineral conditions. Along with the trend of digital transformation in the coal field becoming more remarkable, the demands for the integrity of geological data are increasingly increased, and the coal core data are the bottom support for constructing a digital scene, so the demands for long-term storage and full utilization of the coal core data in the coal field are near, and the digitization of the coal core is urgent due to the restrictions of large occupied space, low retrieval efficiency and other problems of the solid coal core.
The coal core digitizing technology maps details of real world coal cores in equal proportion to a virtual space, wherein the most common means are X-ray CT scanning and three-dimensional reconstruction technology. CT is totally called Computed Tomography, is a computed tomography technology, and has the physical principle that after X-rays pass through a coal core, the energy levels of the emitted rays are different due to different densities in the coal core, so that the internal structure of the coal core is obtained; and carrying out three-dimensional reconstruction on the scanned slice by the computer on the image of the coal core after X-ray scanning to obtain a three-dimensional model of the coal core. The digital rock mechanics solves the mechanics problem in the rock engineering by utilizing a machine learning and artificial intelligence method on the premise of comprehensively digitizing the coal core, and the related technology has better reference value for the coal field and plays an important role in the aspects of underground resource exploration and development of coal, coal bed methane reservoir analysis, hydraulic fracturing permeability improvement and the like.
However, in the current-stage coal field, a standardized concept and corresponding digital technical equipment means are not available for utilizing the coal core. Therefore, the digital coal core library with the functions of coal rock multidimensional data standardized acquisition, structured storage, low threshold acquisition and large depth mining is constructed, and the rapid nondestructive evaluation algorithm of coal rock parameters can be constructed by using the digital coal core library, so that the problems of large difficulty in acquiring comprehensive data of the coal core and low data utilization efficiency of the coal mine are solved.
For coal mines, the physical properties, the structural information and the mechanical behavior information of coal and rock are key bases for making construction schemes and design measure parameters, and for scientific research institutions, the information is a fundamental guarantee for developing basic research and obtaining high-quality conclusions. However, the coal mine does not have the capability of self-testing the attribute parameters related to the coal and rock, and the data volume relied on by the scientific research institutes to obtain the reliable conclusion is extremely large, so that the situation that the time cost and the economic cost for obtaining the related data of target clients are high is caused, and sharing barriers exist among the target clients, so that the situation of repeated testing of multiple parties in the same area of the same mine is caused.
The testing of basic information of coal and rock in coal mines and scientific research institutions is the basis for developing related work, a large amount of coal core data is accumulated for many years, but due to the fact that unified management cannot be achieved, data formats are various, storage media are disordered, even though the requirements for deep mining and effective utilization of the data exist objectively, the problem is not really solved, and a large amount of data is put into use after corresponding projects are serviced. In addition, the sharing obstacle of the existing data among the target clients causes a limited data volume of a single mechanism, and the defect of insufficient supporting capability is shown when mass data mining work is actually performed in a digital background.
Disclosure of Invention
Aiming at the technical problems, the invention provides a coal rock data acquisition, management and evaluation method based on digital rock mechanics, which comprises the following steps:
step one: acquiring a coal core sample and recording drilling sampling information and coal core sample information, wherein the drilling sampling information mainly refers to the information of a certain coring drilling, the coal core sample information refers to the information specific to a certain coal core sample, and the recorded drilling sampling information and the recorded coal core sample information are manufactured into an electronic file; the electronic files of the drilling sampling information and the coal core sampling information are classified according to multiple stages, and corresponding folders are established for local storage;
step two: near-field acquisition of basic data of the coal core sample is carried out by using a movable CT scanning system, CT scanning is carried out on the coal core sample, and scanned data are stored in folders corresponding to the coal core sample in a slice mode; the basic physical properties and the mesoscopic structure parameters of the coal core can be further obtained by CT scanning the coal core sample, and are manufactured into electronic files and stored in corresponding folders;
step three: collecting mechanical index parameters of the coal core through a laboratory mechanical experiment, manufacturing the obtained mechanical index parameter information of the coal core into an electronic file, and storing the electronic file into a corresponding folder;
step four: constructing a digital coal core library, wherein Windows is used as a development platform, a relational database Microsoft Access is used as a carrier, and a B/S network service architecture is used to construct the digital coal core library; the digital coal core library comprises 5 functional modules, namely a coal core data uploading module, a coal core data searching module, a coal core data visualizing module, a coal core data management module and a coal core data storage module;
step five: and (5) quick nondestructive evaluation of the mechanical index parameters of the coal core.
Preferably, in the first step, three-level classification is adopted, wherein the name of a first-level folder is mine name+mine area code, and the folder comprises a coring drilling distribution map and mine basic geological data and also comprises a second-level folder; the secondary folder is named as the drilling number of the coring drilling holes in the mine, and the storage content comprises all the coring drilling holes in the upper mine, and different coring drilling holes respectively form a secondary folder; the storage content of the tertiary file comprises all coal cores in the upper-level coring drill hole, each coal core forms a tertiary file, the tertiary file name is stratum name, stratum number and coal core number, and the tertiary file comprises all data corresponding to the coal cores.
Preferably, in the third step, a uniaxial/triaxial compression-in-situ CT scanning system is adopted to carry out mechanical loading and CT scanning experiments on the processed coal core sample, the destabilization and destruction process of the coal core sample is recorded, the stress-strain relation of the coal core sample under the uniaxial/triaxial compression condition is obtained, the crack evolution process and the characteristic rule of the coal core sample are obtained, and the obtained coal core sample is stored in a folder corresponding to the coal core.
Preferably, the coal core data uploading module is divided into manual uploading and batch uploading.
Preferably, the coal core data searching module is divided into step-by-step searching and feature searching, wherein the step-by-step searching is to search a target coal core step by step according to the position of the coal core; the characteristic search is to search a target coal core according to the data characteristics of the coal core.
Preferably, a coal core data visualization module is developed based on an Openinventor platform, and can perform three-dimensional visual display on CT scanning images, and has the functions of zooming in, zooming out, moving basic operation, slice display and transparency adjustment high-order operation.
Preferably, the coal core data management module provides different operation authorities for different user groups, and updates, inquires, extracts and deletes various stored data in real time according to requirements.
Preferably, in the fifth step, statistics is performed on basic physical properties and mesoscopic structural parameters and mechanical index parameters of a certain area, the same diagenetic year and the same type of coal core, and an average value of the same diagenetic year and the same type of coal core parameters in the area is given and used as a reference value of values of related parameters in the area.
Preferably, in the fifth step, for a newly collected coal core sample, a slice image, basic physical properties and microscopic structural parameters of the newly collected coal core sample are obtained through a nondestructive testing method mainly based on CT scanning, coal core data of the same area in a digital coal core library are called, multiple groups of coal core data of the slice image, the basic physical properties and the microscopic structural parameters are screened, the Min distance between the newly collected coal core sample and the closest coal core sample screened in the database is calculated, and the relevant mechanical index parameter data of the newly collected coal core sample is rapidly estimated by adopting an inverse distance weighted interpolation method.
Preferably, mechanical index parameters of the newly acquired coal core sample are further acquired through a laboratory mechanical experiment, the mechanical index parameters obtained through actual measurement are compared with the parameters of the rapid nondestructive evaluation, the effectiveness of the rapid nondestructive evaluation is verified, and meanwhile, the newly acquired coal core data are uploaded to a digital coal core library.
The beneficial effects achieved by the invention are as follows: according to the invention, a coal core digital acquisition method is adopted, all information in the coal core acquisition process is rapidly stored and managed in a digital manner, and the data management efficiency and the subsequent further application analysis capability are improved; the digital coal core library is adopted to manage the coal core data, so that compared with the prior art, the method not only reduces the land and cost required for building the entity coal core library, but also provides a plurality of functional modules for conveniently and rapidly accessing and checking the three-dimensional structure and related parameters inside the coal core; in addition, the invention uses an intelligent method to carry out relevance analysis on the digitized coal core data, correlates the physical attribute parameters of the coal rock foundation, the microscopic structural parameters of the coal rock and the mechanical index parameters thereof, provides a new thought for rapid evaluation of the coal core parameters, improves the evaluation precision and efficiency, and provides a rapid and efficient decision support for mining design, safety evaluation, disaster prevention and the like required by the coal development process.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is an electronic archive of borehole sampling information according to the present invention;
FIG. 2 is an electronic record of the information of the coal core sample according to the present invention;
FIG. 3 is a schematic diagram of a mobile CT scanning system according to the present invention;
FIG. 4 is an electronic profile of basic physical properties and mesostructural parameters of a coal core according to the invention;
FIG. 5 is an electronic profile of the mechanical index parameters of the coal core of the present invention;
fig. 6 is a schematic representation of actual point selection in the nondestructive evaluation of a coal core according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention relates to a coal rock data acquisition, management and evaluation method based on digital rock mechanics, which comprises the following steps:
step one: acquiring a coal core sample and recording drilling sampling information and coal core sample information
Constructing a coring borehole to obtain a coal core sample, and recording borehole sampling information and coal core sample information, wherein the borehole sampling information mainly refers to information of a certain coring borehole and mainly comprises information such as borehole numbers, sampling time, sampling positions, borehole apertures, segmentation number, corresponding coal core samples and the like; the coal core sample information mainly refers to information specific to a certain coal core sample and mainly comprises a coal core number, a coal core depth, a coal core horizon, a coal core picture, main geological features of the coal core (coal core color, a rock stratum structure, a layer structure, a joint, a hardness degree, a rock stratum shape and a rock stratum contact relation), special phenomena and the like; and (3) making the recorded drilling sampling information and the coal core sample information into electronic files, wherein the electronic files of the drilling sampling information and the coal core sample information can be respectively in the form of tables shown in fig. 1 and 2.
Referring to fig. 1 and fig. 2, electronic files of drilling sampling information and coal core sampling information are classified according to three levels, corresponding folders are respectively established for local storage, the names of the primary folders are mine names and mine area codes, the folders comprise a drilling distribution diagram for coring, basic geological data of a mine and the like, and the electronic files also comprise secondary folders; the secondary folder name is the drilling number of the coring drilling holes in the mine, and the storage content comprises all the coring drilling holes in the upper mine, and the different coring drilling holes respectively form a secondary folder; the storage content of the tertiary file comprises all coal cores in the upper-level coring drill hole, each coal core forms a tertiary file, the tertiary file name is stratum name, stratum number and coal core number, and the tertiary file comprises all data corresponding to the coal cores.
The method for acquiring the coal core picture comprises the following steps: image acquisition is carried out on the coal core samples acquired on site one by one, and a digital camera or an image acquisition scanner is adopted to carry out image shooting or scanning on the surface of the coal core samples; based on the obtained coal core picture, the main characteristics of the coal core can be clearly observed, the image acquisition resolution of the digital camera is not lower than 100PPI, the image acquisition resolution of the image acquisition scanner is not lower than 300DPI, and the definition is not lower than 24 true colors.
Step two: near-field CT acquisition of basic physical properties and mesoscopic structural parameters of coal core
The near-field acquisition of the basic data of the coal core sample is performed by using a movable CT scanning system, the movable CT scanning system is shown in fig. 3, the CT scanning system is integrated into the container protection device, and the CT scanning system can be moved into any region range in land transportation, sea transportation and air transportation modes, so that the movable CT scanning system has higher flexibility and environment adaptation capability.
The movable CT scanning system is moved to be as close to a coal core sample collecting area as possible, the just-taken coal core sample is placed in a scanning bin of the movable CT scanning system and is fixed in a clamping device of the scanning bin, the influence of shaking of the coal core sample on the measuring effect in the scanning process is avoided, CT scanning is carried out on the coal core sample, and scanning data are stored in a three-level folder corresponding to the coal core sample in a slice mode.
The coal core sample is subjected to CT scanning to obtain the coal core basic physical attribute parameters such as weight, geometric dimension, density, CT value distribution diagram, coal core lithology, mineral component distribution and the like of the coal core sample, and meanwhile, the coal core microscopic structural parameters such as porosity, crack space distribution, crack number, crack fractal dimension, crack length, crack area and the like can be obtained; the basic physical properties and the mesoscopic structural parameters of the coal core are manufactured into electronic files, which can be in the form of the electronic files shown in fig. 4 and stored in the corresponding three-level folders.
The movable CT scanning system can be arranged in a shaft bottom yard or a main roadway chamber under a coal mine and near a coal mine wellhead on the ground, the arrangement position is in a ventilated, dry and vibration-free environment, if the arrangement position should avoid the vicinity of a main transportation equipment line or large mechanical equipment, and obvious vibration of the arrangement area is avoided as much as possible in the scanning process.
Step three: mechanical index parameter acquisition of coal core
Wrapping the coal core sample with plastic wrap, marking the related information of the coal core sample, loading the coal core sample into a wooden box, fixing the coal core sample by using a binding belt, filling the internal space of the wooden box with scraps or plastic foam, and reducing the damage to the coal core sample in the transportation process. The method comprises the steps of selecting a coal core sample in a laboratory, and then drilling, cutting and trimming to obtain standard coal core samples, wherein the size and the number of the standard coal core samples meet the requirements of GB/T23561.1-2009 coal and rock physical and mechanical property determination method part 1: sampling general rules, related rules in.
The method comprises the steps of mechanically loading a processed coal core sample by adopting a single-axis/triaxial compression-in-place CT scanning system (refer to patent No. CN107436133A, publication No. CN114894621A, a method for quantitatively measuring the volume deformation of a frozen soil sample by utilizing a CT scanning technology in the mechanical loading process), and patent No. CN114894621A, wherein the coal core sample is arranged in a compression device and is fixed in-place CT scanning equipment, and a stable circumferential pressure and an increasing axial pressure are applied to the coal core sample until the coal core sample is destroyed. Selecting different axial pressure conditions before the coal core sample is destroyed, performing pressure-maintaining CT scanning on the coal core sample, and recording the destabilization destruction process of the coal core sample by adopting an acoustic emission sensor; and obtaining the stress-strain relation of the coal core sample under the uniaxial/triaxial compression condition through CT scanning, and obtaining the crack evolution process and the characteristic rule of the coal core sample through analyzing CT scanning images of the coal core sample under different axial pressure conditions. When the circumferential pressure is 0, the coal core sample is in a uniaxial compression state, and when the circumferential pressure is not 0, the coal core sample is in a triaxial compression state. Before single-axis/triaxial compression-in-place CT scanning, estimating the maximum axial strength of the coal core sample through experience or reference of the rock strength of the same region and the same horizon before the in-place CT scanning, and carrying out pressure-maintaining CT scanning on the coal core sample when the axial pressure reaches 0%, 10%, 30%, 50%, 70%, 85%, 90% and 95% of the estimated maximum axial strength so as to acquire the dynamic damage process of the coal core sample. And storing the stress-strain relation diagram of the coal core sample under the uniaxial/triaxial compression condition, CT scanning images of the coal core sample under different axial pressure conditions in a slice form, and a crack evolution process and a characteristic rule of the coal core sample in a three-level folder corresponding to the coal core.
The uniaxial/triaxial compression-in-situ CT scanning test data are processed, so that the uniaxial compressive strength, the elastic modulus, the Poisson's ratio, the volume strain, the internal friction angle, the cohesive force and other mechanical index parameters of the coal core can be obtained; by referring to the related experimental standards in GB/T23561.1-2009 method for measuring the physical and mechanical properties of coal and rock, the tensile experiment, the shearing experiment and other experiments are carried out on the coal core sample, so that the mechanical index parameters of the coal core, such as tensile strength, shearing strength, point load, bending strength, rheology and the like, can be obtained. The mechanical index parameter information of the coal core obtained through experiments is manufactured into an electronic file, and the electronic file can be in a table form shown in fig. 5 and stored in a three-level folder corresponding to the coal core.
The method of nondestructive testing can be adopted for the basic physical properties and the microscopic structural indexes of the coal core in the process of acquisition, so that relevant index parameters need to be collected comprehensively as much as possible; in the process of collecting the mechanical index parameters of the coal core, a destructive experimental method is required to be adopted in the actual measurement process of certain index parameters, so that only one or a plurality of parameters can be measured aiming at a single coal core, and comprehensive parameter collection cannot be performed, and therefore, the intelligent association of the multidimensional parameters of the coal core is particularly important.
Step four: construction of digital coal core warehouse
Under the support of a large amount of coal core data, a digital coal core library is built by taking Windows as a development platform, adopting a relational database Microsoft Access as a carrier and adopting a B/S network service architecture; the digital coal core library comprises 5 functional modules, namely a coal core data uploading module, a coal core data searching module and a coal core data visualizing module, and a coal core data management module and a coal core data storage module; wherein:
1. and a coal core data uploading module: the coal core data uploading module can be divided into manual uploading and batch uploading, wherein: the manual uploading needs to input data one by one for the uploaded coal cores to finally form available digital core data (a three-level folder corresponding to one coal core) of the digital coal core library; and uploading in batches, namely importing folders of a plurality of coal cores (a plurality of tertiary folders corresponding to the plurality of coal cores) at a time, and generating a plurality of pieces of available digital core data of the digital coal core library.
2. And the coal core data searching module is used for: the coal core data searching module can be divided into step-by-step searching and characteristic searching, wherein the step-by-step searching is to search for a target coal core along the sequence of country-province-city-district (county) -mine according to the administrative division of the position of the coal core; the feature search is an accurate search based on one or more coal core data features of the coal core.
3. And a coal core data visualization module: the coal core data visualization module is developed based on an Openinventor platform, can perform three-dimensional visualization efficient and fine display on CT scanning images, and has basic operation functions such as zooming in, zooming out, moving and the like, and high-order operation functions such as slice display, transparency adjustment and the like.
4. And the coal core data management module is used for: different operation authorities are provided for different user groups, the safety of data is ensured, and various stored data are subjected to standard input, real-time updating, on-demand inquiry, classified extraction and deletion.
The method comprises the steps of processing basic physical properties, mesoscopic structural parameters and mechanical index parameters of a coal core in a certain area by using a Gelubucs method, and determining whether the coal core data containing abnormal values are stored, re-measured or directly abandoned and deleted by manual screening after the abnormal values are found.
5. The coal core data storage module comprises: the coal core data obtained by the coal core data uploading module enters the coal core data storage module. The digital coal core library adopts a storage mode of 'local + cloud' double insurance, coal core data is stored on a local server, and the safety of data storage and the local use efficiency of the data are ensured; when a client requests data, the data of the local server is transmitted to the cloud server and is sent to the client by the cloud server, so that the data transmission efficiency is ensured and the storage space of the cloud server is saved.
Step five: rapid nondestructive evaluation of mechanical index parameters of coal core
Counting the multidimensional parameters of the coal core in a certain area, taking the sampling area, the diagenetic age and the lithology type of the coal core as classification basis, counting the basic physical properties, the mesoscopic structural parameters and the mechanical index parameters of the coal core in the certain area, the same diagenetic age and the lithology, and giving out the average value of the parameters of the coal core in the area as a reference value of the values of the related parameters in the area; the area may be a mine or a panel or sector of a mine.
Aiming at a newly acquired coal core sample, obtaining basic physical properties such as slice images, densities and the like and mesoscopic structural parameters of the newly acquired coal core sample by a nondestructive testing method based on CT scanning, calling the coal core data in the same mining area in a digital coal core library, comparing the data with the data of the newly acquired coal core sample, calculating the Min distance between the newly acquired coal core sample and the nearest coal core sample in a database, finally screening out 5 groups of coal core data with the slice images and the basic physical properties nearest to the mesoscopic structural parameters, rapidly estimating the related mechanical index parameter data of the newly acquired coal core sample by adopting a counter-distance weighted interpolation method, wherein the calculation formula is shown as follows,
wherein:
——x 0 a predicted value of the point;
wherein:
-prediction pointx 0 And each real measurement pointiThe distance between them;
P-the level of influence of the measured value on the predicted value.
In the same mining area range, if 5 groups of slice images and coal core data with basic physical properties similar to the mesostructure cannot be screened out, the screening range can be expanded to an adjacent mining area until enough groups of slice images and coal core data with basic physical properties similar to the mesostructure are screened out; or the screening number is reduced to 3 groups.
And carrying out actual measurement and collection of mechanical index parameters on the newly collected coal core sample through a laboratory mechanical experiment, comparing the mechanical index parameters obtained through actual measurement with parameters of rapid nondestructive evaluation, verifying the effectiveness of the rapid nondestructive evaluation, and uploading the newly collected coal core data to a digital coal core library.
While the invention has been described in terms of preferred embodiments, it is not intended to be limiting. Those skilled in the art will appreciate that various modifications and adaptations can be made without departing from the spirit and scope of the present invention. Accordingly, the scope of the invention is defined by the appended claims.
Claims (8)
1. The coal rock data acquisition, management and evaluation method based on digital rock mechanics is characterized by comprising the following steps of:
step one: acquiring a coal core sample and recording drilling sampling information and coal core sample information, wherein the drilling sampling information mainly refers to the information of a certain coring drilling, the coal core sample information refers to the information specific to a certain coal core sample, and the recorded drilling sampling information and the recorded coal core sample information are manufactured into an electronic file; the electronic files of the drilling sampling information and the coal core sampling information are classified according to multiple stages, and corresponding folders are established for local storage;
step two: near-field acquisition of basic data of the coal core sample is carried out by using a movable CT scanning system, CT scanning is carried out on the coal core sample, and scanned data are stored in folders corresponding to the coal core sample in a slice mode; the basic physical properties and the mesoscopic structure parameters of the coal core can be further obtained by CT scanning the coal core sample, and are manufactured into electronic files and stored in corresponding folders;
step three: collecting mechanical index parameters of the coal core through a laboratory mechanical experiment, manufacturing the obtained mechanical index parameter information of the coal core into an electronic file, and storing the electronic file into a corresponding folder;
step four: constructing a digital coal core library, wherein Windows is used as a development platform, a relational database Microsoft Access is used as a carrier, and a B/S network service architecture is used to construct the digital coal core library; the digital coal core library comprises 5 functional modules, namely a coal core data uploading module, a coal core data searching module, a coal core data visualizing module, a coal core data management module and a coal core data storage module;
step five: carrying out rapid nondestructive evaluation on the mechanical index parameters of the coal core, carrying out statistics on basic physical properties and mesoscopic structural parameters and mechanical index parameters of the coal core of a certain area and the same diagenetic year, and giving out an average value of the parameters of the coal core of the same diagenetic year and the same type in the area as a reference value of the values of the related parameters in the area;
aiming at a newly acquired coal core sample, acquiring slice images, basic physical properties and microscopic structural parameters of the newly acquired coal core sample by a nondestructive testing method mainly comprising CT scanning, calling coal core data of the same area in a digital coal core library, screening a plurality of groups of coal core data of which the slice images, the basic physical properties and the microscopic structural parameters are the closest, calculating the mintype distance between the newly acquired coal core sample and the closest coal core sample screened out from a database, and rapidly estimating relevant mechanical index parameter data of the newly acquired coal core sample by an inverse distance weighted interpolation method.
2. The method for collecting, managing and evaluating coal and rock data according to claim 1, wherein in the first step, three-level classification is adopted, the name of a first-level folder is mine name+mine area code, the folder comprises a coring drilling distribution map and mine basic geological data, and the method further comprises a second-level folder; the secondary folder is named as the drilling number of the coring drilling holes in the mine, and the storage content comprises all the coring drilling holes in the upper mine, and different coring drilling holes respectively form a secondary folder; the storage content of the tertiary file comprises all coal cores in the upper-level coring drill hole, each coal core forms a tertiary file, the tertiary file name is stratum name, stratum number and coal core number, and the tertiary file comprises all data corresponding to the coal cores.
3. The method for collecting, managing and evaluating coal and rock data according to claim 1, wherein in the third step, a uniaxial/triaxial compression-in-situ CT scanning system is adopted to carry out mechanical loading and CT scanning experiments on the processed coal core sample, the destabilization and destruction process of the coal core sample is recorded, the stress-strain relation of the coal core sample under the uniaxial/triaxial compression condition is obtained, the crack evolution process and the characteristic rule of the coal core sample are obtained, and the obtained coal core sample is stored in a folder corresponding to the coal core.
4. The method for collecting, managing and evaluating coal rock data according to claim 1, wherein the coal rock core data uploading module is divided into manual uploading and batch uploading.
5. The method for collecting, managing and evaluating coal and rock data according to claim 1, wherein the coal and rock data searching module is divided into a step-by-step searching and a feature searching, and the step-by-step searching is that a target coal core is searched step by step according to the position of the coal core; the characteristic search is to search a target coal core according to the data characteristics of the coal core.
6. The coal rock data acquisition, management and evaluation method according to claim 1, wherein a coal rock core data visualization module is developed based on an Openinventor platform, and the coal rock core data visualization module can perform three-dimensional visual display on a CT scanning image and has the functions of zooming in, zooming out, moving basic operation, slice display and transparency adjustment high-order operation.
7. The method for collecting, managing and evaluating coal rock data according to claim 1, wherein the coal rock core data management module provides different operation authorities for different user groups, and updates, inquires, extracts and deletes various stored data in real time according to requirements.
8. The method for collecting, managing and evaluating coal and rock data according to claim 1, wherein in the fifth step, mechanical index parameters of the newly collected coal and rock samples are collected through laboratory mechanical experiments, the mechanical index parameters obtained through actual measurement are compared with the parameters of rapid nondestructive evaluation, the effectiveness of the rapid nondestructive evaluation is verified, and meanwhile, the newly collected coal and rock data are uploaded to a digital coal and rock core library.
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