Self-adaptive planning mining process based on geological data

Abstract

The invention discloses a self-adaptive planning mining process based on geological data, and relates to the technical field of geological mining. According to a geological database, a coal seam geological model is established in a three-dimensional coordinate system according to a predicted value, mine drill holes are preset in the three-dimensional coordinate system for drilling, geological information is obtained in the drilling process, and the coal seam geological model is inverted and corrected in the three-dimensional coordinate system according to the geological information. A production monitoring system is built on the basis of a sampling technology, a testing technology, an information data processing technology, a remote sensing technology, a GIS technology, a big data platform and other information technologies, intelligentization of the mining production process is achieved, three-dimensional geological modeling of a mine is established, visual management of the geographic space level of the mine is achieved, and the mining production efficiency is improved. Meanwhile, information of all departments is shared, integration of production operation, management and coordination is achieved through digital transmission, mining work is integrally achieved, self-adaptive coordination management is conducted on a database and remote sensing work, and mining is facilitated.

Description

Technical Field

[0001] The invention relates to the technical field of geological mining, and in particular to a self-adaptive planning mining process based on geological data. Background Art

[0002] Publication No. CN107657365B provides a method and device for evaluating the mining value of geological resources, the method comprising: obtaining geological parameters of geological structures in multiple specified dimensions; wherein the geological parameters are used to characterize the state of the geological structures in the specified dimensions; matching the geological parameters with the thresholds of each of the specified dimensions respectively to obtain the characterization value of each of the specified dimensions; the characterization values ​​of the multiple specified dimensions form a characterization vector; performing evaluation operations based on the characterization vector to obtain the evaluation value of the geological resources in the geological structure. By fully considering the effect of the threshold of geological resources on the mining value of geological resources through the implementation of the present invention, the mining value of geological resources can be evaluated.

[0003] However, it has certain defects. It mainly evaluates mining based on address parameters on specified dimensions and cannot perform mining adaptively. Summary of the invention In view of the deficiencies of the prior art, the present invention provides an adaptive planning mining process based on geological data, which solves the problems raised by the background technology.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: Adaptive planning of mining process based on geological data, including the following steps: Step S1: Based on the geological database, a coal seam geological model is established in a three-dimensional coordinate system according to the predicted value, a mine borehole is pre-set in the three-dimensional coordinate system for drilling, geological information is obtained during the drilling process, and the coal seam geological model is inverted and corrected in the three-dimensional coordinate system according to the above geological information; Step S2: Using sampling technology, testing technology and information data processing technology, by monitoring the on-site environment of the mine geological process, using geological, air and other environmental parameters, timely discover possible anomalies in the mining space, and upload the data parameters to the dispatching command center at the fastest speed under the intelligent data processing mode, so that it can command and order the actions of the staff; Step S3: Based on information technologies such as remote sensing technology, GIS technology, and big data platforms, a production monitoring system is constructed to realize the intelligence of the mining production process. By establishing a three-dimensional geological model of the mine, visual management of its geographic space level is achieved. At the same time, information from various departments is shared, and production operations, management, and coordination are integrated through digital transmission to realize the overall mining work.

[0005] Preferably, step S2 specifically includes: first, before carrying out mining work, conduct a survey of the project area environment, understand the geology, hydrology, vegetation and mineral distribution, record and obtain address information, select information technology and equip intelligent mining equipment, establish a green and intelligent mining system, improve mining efficiency, and monitor the on-site environment of the mining process. By using geological, air and other environmental parameters, possible anomalies in the mining space can be discovered in time, and the data parameters can be uploaded to the dispatching command center as quickly as possible under the intelligent data processing mode so that it can direct and issue the actions of the staff.

[0006] Preferably, step S3 specifically includes: using remote sensing technology, GIS technology, big data platform and other information technologies as the basis to build a production monitoring system, realize the intelligence of the mining production process, and realize the visual management of its geographic space level by establishing a three-dimensional geological model of the mine. At the same time, the information of various departments is shared, and the integration of production operations, management and coordination is realized through digital transmission. The remote sensing technology includes: Y1: Information collection: Collect corresponding geological, geophysical and geochemical information, geomorphological information and multispectral remote sensing information for the target area, where multispectral remote sensing images are based on satellite positioning images or drone aerial images; Y2: Determine image interpretation: Based on the high-altitude landform information captured by satellites and the resource and environmental information investigated on site, 8×8 pixels are used as the basic points, and a term interpretation is formed according to the area selected by the user, and then correspondingly applied to the multispectral remote sensing image to form a color feature value; Y3: Establishing reflectance spectrum interval: Setting the reflectance spectrum interval with different reflectance spectral rates to distinguish detailed survey areas and blank areas, and combining the color feature values ​​in S2 to form the optimal spectrum, and normalizing it; Y4: Compare the database with the reflectance spectrum range and create an image.

[0007] Beneficial Effects The present invention provides an adaptive planning mining process based on geological data. Compared with the prior art, it has the following beneficial effects: The mining process is adaptively planned based on geological data. According to the geological database, a coal seam geological model is established in a three-dimensional coordinate system according to the predicted value. The mine borehole is pre-set in the three-dimensional coordinate system for drilling. The geological information is obtained during the drilling process. According to the above geological information, the coal seam geological model is inverted and corrected in the three-dimensional coordinate system. The sampling technology, testing technology and information data processing technology are used to monitor the on-site environment of the mine geological process, and the geological, air and other environmental parameters are used to timely discover possible anomalies in the mining space. The data parameters are uploaded to the dispatching command center at the fastest speed under the intelligent data processing mode so that it can command and control the actions of the staff. Based on information technologies such as remote sensing technology, GIS technology, and big data platform, a production monitoring system is built to realize the intelligence of the mining production process. By establishing a three-dimensional geological model of the mine, the visual management of its geographic space level is realized. At the same time, the information of various departments is shared, and the production operation, management, and coordination are integrated through digital transmission to realize the mining work as a whole. The database and remote sensing work are adaptively coordinated and managed to facilitate mining. DETAILED DESCRIPTION

[0008] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0009] The present invention provides a technical solution: an adaptive planning mining process based on geological data, comprising the following steps: Step S1: Based on the geological database, a coal seam geological model is established in a three-dimensional coordinate system according to the predicted value, a mine borehole is pre-set in the three-dimensional coordinate system for drilling, geological information is obtained during the drilling process, and the coal seam geological model is inverted and corrected in the three-dimensional coordinate system according to the above geological information; Step S2: Using sampling technology, testing technology and information data processing technology, by monitoring the on-site environment of the mine geological process, using geological, air and other environmental parameters, timely discover possible anomalies in the mining space, and upload the data parameters to the dispatching command center at the fastest speed under the intelligent data processing mode, so that it can command and order the actions of the staff; Step S3: Based on information technologies such as remote sensing technology, GIS technology, and big data platforms, a production monitoring system is constructed to realize the intelligence of the mining production process. By establishing a three-dimensional geological model of the mine, visual management of its geographic space level is achieved. At the same time, information from various departments is shared, and production operations, management, and coordination are integrated through digital transmission to realize the overall mining work.

[0010] Step S2 specifically includes: first, before carrying out mining work, conduct an investigation on the project area environment, understand the geology, hydrology, vegetation and mineral distribution, record and obtain address information, select information technology and equip intelligent mining equipment, establish a green and intelligent mining system, improve mining efficiency, and monitor the on-site environment of the mining process. By using geological, air and other environmental parameters, possible anomalies in the mining space can be discovered in time, and the data parameters can be uploaded to the dispatching command center as quickly as possible under the intelligent data processing mode so that it can direct and order the actions of the staff.

[0011] Step S3 specifically includes: using remote sensing technology, GIS technology, big data platform and other information technologies as the basis to build a production monitoring system, realize the intelligentization of the mining production process, and realize the visual management of its geographic space level by establishing a three-dimensional geological model of the mine. At the same time, the information of various departments is shared, and the integration of production operations, management and coordination is realized through digital transmission. The remote sensing technology includes: Y1: Information collection: Collect corresponding geological, geophysical and geochemical information, geomorphological information and multispectral remote sensing information for the target area, where multispectral remote sensing images are based on satellite positioning images or drone aerial images; Y2: Determine image interpretation: Based on the high-altitude landform information captured by satellites and the resource and environmental information investigated on site, 8×8 pixels are used as the basic points, and a term interpretation is formed according to the area selected by the user, and then correspondingly applied to the multispectral remote sensing image to form a color feature value; Y3: Establishing reflectance spectrum interval: Setting the reflectance spectrum interval with different reflectance spectral rates to distinguish detailed survey areas and blank areas, and combining the color feature values ​​in S2 to form the optimal spectrum, and normalizing it; Y4: Compare the database with the reflectance spectrum range and create an image.

[0012] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0013] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Adaptive planning mining process based on geological data, characterized by: The steps include: Step S1: Based on the geological database, a coal seam geological model is established in a three-dimensional coordinate system according to the predicted value, a mine borehole is pre-set in the three-dimensional coordinate system for drilling, geological information is obtained during the drilling process, and the coal seam geological model is inverted and corrected in the three-dimensional coordinate system according to the above geological information; Step S2: Using sampling technology, testing technology and information data processing technology, by monitoring the on-site environment of the mine geological process, using geological, air and other environmental parameters, timely discover possible anomalies in the mining space, and upload the data parameters to the dispatching command center at the fastest speed under the intelligent data processing mode, so that it can command and order the actions of the staff; Step S3: Based on information technologies such as remote sensing technology, GIS technology, and big data platforms, a production monitoring system is constructed to realize the intelligence of the mining production process. By establishing a three-dimensional geological model of the mine, visual management of its geographic space level is achieved. At the same time, information from various departments is shared, and production operations, management, and coordination are integrated through digital transmission to realize the overall mining work.

2. The adaptive planning mining process based on geological data according to claim 1 is characterized in that: Step S2 specifically includes: first, before carrying out mining work, conduct an investigation on the project area environment, understand the geology, hydrology, vegetation and mineral distribution, record and obtain address information, select information technology and equip intelligent mining equipment, establish a green and intelligent mining system, improve mining efficiency, and monitor the on-site environment of the mining process. By using geological, air and other environmental parameters, possible anomalies in the mining space can be discovered in time, and the data parameters can be uploaded to the dispatching command center as quickly as possible under the intelligent data processing mode so that it can direct and order the actions of the staff.

3. The adaptive planning mining process based on geological data according to claim 1, characterized in that: Step S3 specifically includes: using remote sensing technology, GIS technology, big data platform and other information technologies as the basis to build a production monitoring system, realize the intelligentization of the mining production process, and realize the visual management of its geographic space level by establishing a three-dimensional geological model of the mine. At the same time, the information of various departments is shared, and the integration of production operations, management and coordination is realized through digital transmission. The remote sensing technology includes: Y1: Information collection: Collect corresponding geological, geophysical and geochemical information, geomorphological information and multispectral remote sensing information for the target area, where multispectral remote sensing images are based on satellite positioning images or drone aerial images; Y2: Determine image interpretation: Based on the high-altitude landform information captured by satellites and the resource and environmental information investigated on site, 8×8 pixels are used as the basic points, and a term interpretation is formed according to the area selected by the user, and then correspondingly applied to the multispectral remote sensing image to form a color feature value; Y3: Establishing reflectance spectrum interval: Setting the reflectance spectrum interval with different reflectance spectral rates to distinguish detailed survey areas and blank areas, and combining the color feature values ​​in S2 to form the optimal spectrum, and normalizing it; Y4: Compare the database with the reflectance spectrum range and create an image.