Integrated Mineral Data Acquisition Platform Based on Geological Exploration and Potential Assessment

Abstract

This invention discloses an integrated mineral data acquisition platform based on geological exploration and potential evaluation, belonging to the field of mineral data acquisition technology. It solves the technical problem in existing technologies where a data platform cannot be built based on mineral area data acquisition during mining, leading to low accuracy in mining operations. The platform statistically analyzes the collected mineral area information, matches timestamps to the acquisition time, and sorts and stores the data according to the timestamp order to construct the mineral area data platform. It also analyzes the information stored in real-time on the platform, performing timeliness analysis to determine whether the mineral area information acquisition is qualified, thereby improving the feasibility of building the mineral area data platform. Furthermore, it divides the mineral area into block types, analyzes the data corresponding to each block within the mineral area, and classifies the mineral area into block types through data analysis, improving the feasibility and targeting of block mining and ensuring accuracy in block mining selection.

Description

Technical Field

[0001] This invention relates to the field of mineral data acquisition technology, specifically to an integrated mineral data acquisition platform based on geological exploration and potential evaluation. Background Technology

[0002] A coalfield, or a portion thereof, that is planned and developed in a unified manner is called a mining area. It includes blocks of several mines or open-pit mines, with complete production processes, surface transportation, power supply, communication dispatching, production management, and living services. Its scope is often determined by the size of the ore deposit. Natural factors affecting the development of a mining area include: the morphology and spatial distribution of the ore deposit, resource reserves, ore quality and ore beneficiation, the complexity of the geological structure, hydrogeological conditions, the stability of the ore and rock, the topography and features of the mining area, and climatic conditions.

[0003] However, in the existing technology, it is impossible to build a data platform based on the mining data during the mining process, resulting in low accuracy of mining. At the same time, it is impossible to conduct type analysis of mining blocks during the data platform construction process, and it is impossible to conduct feasibility decision analysis based on the type of mining blocks, which leads to a reduction in the mining efficiency of mining blocks.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above by proposing an integrated mineral data acquisition platform based on geological exploration and potential evaluation.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] An integrated mineral data acquisition platform based on geological exploration and potential evaluation includes a data acquisition terminal, a data platform construction unit, a block type division unit, a feasibility decision-making unit, and a data processing and monitoring unit.

[0008] The data acquisition terminal collects data from the mining area and sends the collected mining area information to the data platform construction unit; the mining area information includes metal ore exploration results, resource reserves, and mineral deposits;

[0009] After receiving the mining area information, the data platform construction unit statistically analyzes the collected mining area information and matches the timestamps according to the acquisition time. It sorts and stores the information according to the timestamp order to build the mining area data platform. It also analyzes the information stored in real time on the mining area data platform. After the analysis of the real-time mining area information is completed, the block type division unit receives the block type division signal and divides the mining area into block types, dividing the mining area block into i sub-blocks, where i is a natural number greater than 1. Through analysis, the sub-blocks are divided into composite mining blocks and single mining blocks. The composite mining blocks and single mining blocks are sent together to the data platform construction unit.

[0010] The feasibility decision-making unit makes feasibility decisions for mining sub-blocks within the mining area, marks the current sub-block as a block to be mined, marks the mineral as the mining entity, and classifies the blocks to be mined into types through analysis and makes mining decisions based on the classification. After the mining decision is completed, the data processing and supervision unit conducts data processing and supervision on the mining area data platform and controls the information access of the mining area.

[0011] In a preferred embodiment of the present invention, the operation process of the data platform construction unit is as follows:

[0012] The deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points, as well as the excess of the collection and storage time of the current mining area information to be stored in the stored mining area information and the corresponding floating period of the mining area information value, are obtained. The deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points, as well as the excess of the collection and storage time of the current mining area information to be stored in the stored mining area information and the corresponding floating period of the mining area information value, are compared with the area deviation value threshold and the excess time value threshold, respectively.

[0013] In a preferred embodiment of the present invention, if the deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points exceeds the area deviation threshold, or if the time consumed in collecting and storing the current mining area information to be stored in the stored mining area information exceeds the time consumption threshold, then the current mining area data platform data collection is determined to be unqualified, and the current time is set as an unqualified timestamp. During the time period before the unqualified timestamp, the mining area information can be accessed with public access permissions. During the time period after the unqualified timestamp is set, the mining area information is re-collected.

[0014] If the deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points does not exceed the area deviation threshold, and the excess of the collection and storage time of the current mining area information to be stored in the stored mining area information and the corresponding mining area information value fluctuation period does not exceed the excess time threshold, then the data collection of the current mining area data platform is deemed qualified, and the current time is set as the construction timestamp. The mining area information collection within the time period corresponding to the construction timestamp is qualified, and the corresponding construction timestamp is added and updated in real time according to the data storage volume of the mining area data platform.

[0015] In a preferred embodiment of the present invention, the operation process of the block type partitioning unit is as follows:

[0016] The number of mineral types in the same profile within each sub-block of the mining block and the average mineral yield of the corresponding mineral type in the same profile are obtained; the maximum interval depth of mineral yield in different profiles within each sub-block of the mining block is collected; and the type classification coefficient of each sub-block within the mining block is obtained through analysis.

[0017] Compare the type classification coefficients of each sub-block within the mining area block with the type classification coefficient thresholds:

[0018] If the type classification coefficient of each sub-block within a mining block exceeds the type classification coefficient threshold, it is determined that the mineral types of the corresponding sub-block within the mining block are abundant, and the corresponding sub-block is marked as a composite mining block; a composite mining block indicates that the mineral types mined in the current block may not be unique; if the type classification coefficient of each sub-block within a mining block does not exceed the type classification coefficient threshold, it is determined that the mineral types of the corresponding sub-block within the mining block are singular, and the corresponding sub-block is marked as a single mining block.

[0019] In a preferred embodiment of the present invention, the operation process of the feasibility decision unit is as follows:

[0020] When the demand and frequency of the mining entity in the current mining block both exceed the corresponding thresholds, the current mining entity is marked as a high-demand entity; otherwise, it is marked as a low-demand entity. The difference in the proportion of high-demand entities and low-demand entities in the block to be mined, as well as the maximum difference in the distribution of high-demand entities in each profile of the block to be mined, are obtained. The difference in the proportion of high-demand entities and low-demand entities in the block to be mined, as well as the maximum difference in the distribution of high-demand entities in each profile of the block to be mined, are compared with the proportion difference threshold and the maximum distribution difference threshold, respectively.

[0021] In a preferred embodiment of the present invention, if the difference in the proportion of high-demand entities and low-demand entities in the block to be mined exceeds a threshold for the proportion difference, and the maximum difference in the distribution quantity of high-demand entities in each profile within the block to be mined does not exceed a threshold for the maximum difference in distribution quantity, then the supply and demand analysis of the current block to be mined is deemed qualified, and the corresponding block to be mined is marked as a high supply and demand block; if the difference in the proportion of high-demand entities and low-demand entities in the block to be mined does not exceed a threshold for the proportion difference, or the maximum difference in the distribution quantity of high-demand entities in each profile within the block to be mined exceeds a threshold for the maximum difference in distribution quantity, then the supply and demand analysis of the current block to be mined is deemed unqualified, and the corresponding block to be mined is marked as a low supply and demand block.

[0022] In a preferred embodiment of the present invention, the proportion of transportation cost in the mining cost of the block to be mined and the number of real-time alternative routes for each mining location within the block to be mined are obtained, and the proportion of transportation cost in the mining cost of the block to be mined and the number of real-time alternative routes for each mining location within the block to be mined are compared with the total cost proportion threshold and the route number threshold, respectively.

[0023] In a preferred embodiment of the present invention, if the total proportion of transportation costs in the mining cost of the block to be mined exceeds the total cost proportion threshold, or if the number of real-time alternative routes for each mining location within the block to be mined does not exceed the route number threshold, then the corresponding block to be mined is marked as a difficult-to-transport block; if the total proportion of transportation costs in the mining cost of the block to be mined does not exceed the total cost proportion threshold, and the number of real-time alternative routes for each mining location within the block to be mined exceeds the route number threshold, then the corresponding block to be mined is marked as an easy-to-transport block.

[0024] In a preferred embodiment of the present invention, the block to be mined is analyzed. If the block to be mined is a high-supply-demand block, the mining decision for the corresponding block is set as mineable. If the block to be mined is a low-supply-demand block and is easily transportable, the block to be mined is set as an alternative to mining. If there are no mineable blocks or the current sub-block is a composite mining block, mining is performed on the current block. If the block to be mined is a low-supply-demand block and is difficult to transport, the block to be mined is set as not to be mined.

[0025] In a preferred embodiment of the present invention, the operation of the data processing monitoring unit is as follows:

[0026] The frequency of readable permission execution for authorized users corresponding to mining area information and the percentage of authorized users corresponding to writable permission for mining area information during the decision-making process for mining blocks are obtained. These parameters are then compared with execution frequency thresholds and percentage thresholds, respectively.

[0027] If, during the decision-making process for the block to be mined, the frequency of execution of readable permissions for authorized users corresponding to the mining area information exceeds the execution frequency threshold, or if the proportion of authorized users with write permissions for the mining area information exceeds the proportion threshold, the data processing permission supervision of the mining area data platform is deemed unqualified. A data permission control signal is generated and sent to the data platform construction unit. Upon receiving the data permission control signal, the data platform construction unit resets the permissions of the user terminals accessing the mining area information within the mining area data platform. If, during the decision-making process for the block to be mined, the frequency of execution of readable permissions for authorized users corresponding to the mining area information does not exceed the execution frequency threshold, and the proportion of authorized users with write permissions for the mining area information does not exceed the proportion threshold, the data processing permission supervision of the mining area data platform is deemed qualified. A data permission security signal is generated and sent to the data platform construction unit.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] 1. In this invention, the collected mining area information is statistically analyzed and timestamps are matched according to the acquisition time. The data is then sorted and stored according to the timestamp order to construct a mining area data platform. The information stored in real time on the mining area data platform is analyzed, and timeliness analysis is performed based on the real-time stored information to determine whether the mining area information collection is qualified, thereby improving the feasibility of building the mining area data platform. The mining area is divided into block types, and data analysis is performed based on the mining area information corresponding to each block. Through data analysis, the mining area block types are divided, improving the feasibility and targeting of mining block mining, and ensuring the accuracy of block mining during mining selection.

[0030] 2. In this invention, feasibility decisions are made for the mining of sub-blocks within the mining area to ensure that the mining efficiency of the sub-blocks is up to standard, avoiding unnecessary land development within the blocks due to low mining efficiency, and preventing increased mining costs due to the inability to guarantee the amount of minerals extracted; data processing and supervision are carried out on the mining area data platform to determine whether the data permission settings within the mining area data platform are up to standard, thereby ensuring that the openness of the mining area data platform meets the requirements while ensuring the privacy of the mining area data platform, and improving the mining efficiency of the mining blocks. Attached Figure Description

[0031] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0032] Figure 1 This is a schematic diagram of the principle of the present invention. Detailed Implementation

[0033] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0035] Please see Figure 1 As shown, the integrated mineral data acquisition platform based on geological exploration and potential evaluation includes a data acquisition terminal, a data platform construction unit, a block type division unit, a feasibility decision-making unit, and a data processing and monitoring unit.

[0036] This system analyzes and collects data on mining areas using big data analytics. Data is collected through data acquisition terminals and the collected mining area information is sent to the data platform building unit. Mining area information includes metal ore exploration results (reports, boreholes, profiles), resource reserves (reserves, distribution), mineral deposits (scale, grade, metallogenic belts), and other information.

[0037] After receiving information from the mining area, the data platform construction unit will statistically analyze the collected information and match the timestamps according to the acquisition time. The data will be sorted and stored according to the timestamp order to build the mining area data platform. The unit will also analyze the information stored in real time on the mining area data platform and perform timeliness analysis based on the real-time stored information to determine whether the mining area information collection is qualified, thereby improving the feasibility of building the mining area data platform.

[0038] The mining area data platform is analyzed to obtain the deviation between the area of ​​the mining area distribution points at the corresponding timestamp in the stored mining area information and the current area of ​​the mining area distribution points, as well as the excess of the collection and storage time of the currently to-be-stored mining area information and the corresponding fluctuation period of the mining area information value. The deviation between the area of ​​the mining area distribution points at the corresponding timestamp in the stored mining area information and the current area of ​​the mining area distribution points, as well as the excess of the collection and storage time of the currently to-be-stored mining area information and the corresponding fluctuation period of the mining area information value, are compared with the area deviation threshold and the excess time threshold, respectively.

[0039] If the deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points exceeds the area deviation threshold, or if the time taken to collect and store the current mining area information to be stored exceeds the time taken to exceed the corresponding mining area information value fluctuation period, then the current mining area data platform data collection is deemed unqualified, and the current time is set as an unqualified timestamp. During the time period before the unqualified timestamp, the mining area information can be accessed with public access permissions. During the time period after the unqualified timestamp is set, the mining area information is re-collected.

[0040] If the deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points does not exceed the area deviation threshold, and the excess of the collection and storage time of the current mining area information to be stored in the stored mining area information and the corresponding mining area information value fluctuation period does not exceed the excess time threshold, then the data collection of the current mining area data platform is deemed qualified, and the current time is set as the construction timestamp. The mining area information collection within the time period corresponding to the construction timestamp is qualified, and the corresponding construction timestamp is added and updated in real time according to the data storage volume of the mining area data platform.

[0041] After the data platform is built, the data platform building unit generates a block type division signal and sends the block type division signal to the block type division unit. After receiving the block type division signal, the block type division unit divides the mining area into block types, performs data analysis based on the mining area information corresponding to each block, and divides the mining area into block types through data analysis, thereby improving the feasibility and targeting of mining block mining and ensuring the accuracy of block mining when selecting mining areas.

[0042] Divide the mining block into i sub-blocks, where i is a natural number greater than 1. Obtain the number of mineral types and the average mineral yield of the same mineral type in the same profile of each sub-block within the mining block. Label the number of mineral types and the average mineral yield of the same mineral type in the same profile of each sub-block within the mining block as LSi and KLi, respectively. Collect the maximum interval depth of mineral yield of different profiles in each sub-block within the mining block and label the maximum interval depth of mineral yield of different profiles in each sub-block within the mining block as SDi.

[0043] Through formula Obtain the type classification coefficient Xi for each sub-block within the mining block segment, where f1, f2, and f3 are all preset proportional coefficients, and f1 > f2 > f3 > 0, and β is used as the error correction coefficient with a value of 0.795.

[0044] Compare the type classification coefficient Xi of each sub-block within the mining area block with the type classification coefficient threshold:

[0045] If the type classification coefficient Xi of each sub-block within a mining block exceeds the type classification coefficient threshold, it is determined that the corresponding sub-block within the mining block has abundant mineral types, and the corresponding sub-block is marked as a composite mining block; a composite mining block means that the mineral types mined in the current block may not be unique;

[0046] If the type classification coefficient Xi of each sub-block within the mining block does not exceed the type classification coefficient threshold, it is determined that the mineral type of the corresponding sub-block within the mining block is single, and the corresponding sub-block is marked as a single mining block.

[0047] Both composite mining blocks and single mining blocks are sent to the data platform construction unit;

[0048] After receiving the data, the data platform building unit generates a feasibility decision signal and sends it to the feasibility decision unit. After receiving the feasibility decision signal, the feasibility decision unit makes a feasibility decision on the mining of sub-blocks within the mining area to ensure that the mining efficiency of the sub-blocks is up to standard and to avoid unnecessary land development within the blocks due to low mining efficiency, while also preventing the increase in mining costs due to the inability to guarantee the amount of minerals extracted.

[0049] The current sub-block is marked as the block to be mined, and the mineral is marked as the mining entity. If the demand and frequency of the mining entity in the current mining block both exceed the corresponding thresholds, then the current mining entity is a high-demand entity; otherwise, it is marked as a low-demand entity. The difference in the proportion of high-demand entities and low-demand entities in the block to be mined, as well as the maximum difference in the distribution of high-demand entities in each profile within the block to be mined, are obtained. The difference in the proportion of high-demand entities and low-demand entities in the block to be mined, and the maximum difference in the distribution of high-demand entities in each profile within the block to be mined, are compared with the proportion difference threshold and the maximum distribution difference threshold, respectively.

[0050] If the difference in the proportion of high-demand entities and low-demand entities in the block to be mined exceeds the threshold for the proportion difference, and the maximum difference in the distribution quantity of high-demand entities in each profile within the block to be mined does not exceed the threshold for the maximum difference in distribution quantity, then the supply and demand analysis of the current block to be mined is deemed qualified, and the corresponding block to be mined is marked as a high supply and demand block; if the difference in the proportion of high-demand entities and low-demand entities in the block to be mined does not exceed the threshold for the proportion difference, or the maximum difference in the distribution quantity of high-demand entities in each profile within the block to be mined exceeds the threshold for the maximum difference in distribution quantity, then the supply and demand analysis of the current block to be mined is deemed unqualified, and the corresponding block to be mined is marked as a low supply and demand block;

[0051] The process involves obtaining the proportion of transportation costs in the total mining cost of the block to be mined, as well as the number of real-time alternative routes for each mining location within the block. These figures are then compared with thresholds for the total cost proportion and the number of routes, respectively.

[0052] If the total transportation cost as a percentage of the total mining cost of a block to be mined exceeds the total cost percentage threshold, or if the number of available routes for real-time access at each mining location within the block to be mined does not exceed the route number threshold, then the corresponding block to be mined will be marked as a difficult-to-transport block. If the total transportation cost as a percentage of the total mining cost of a block to be mined does not exceed the total cost percentage threshold, and the number of available routes for real-time access at each mining location within the block to be mined exceeds the route number threshold, then the corresponding block to be mined will be marked as an easy-to-transport block.

[0053] The block to be mined is analyzed. If the block is a high-supply-demand block, the mining decision for the corresponding block is set as mineable. If the block is a low-supply-demand block and is easily transportable, the block is set as an alternative to mining. If there are no mineable blocks or the current sub-block is a composite mining block, mining is performed on the current block. If the block is a low-supply-demand block and is difficult to transport, the block is set as not to be mined.

[0054] After the data platform construction unit makes a decision on the block to be mined in real time, it generates a data processing supervision signal and sends the data processing supervision signal to the data processing supervision unit. After receiving the data processing supervision signal, the data processing supervision unit conducts data processing supervision on the mining area data platform and judges whether the data permission settings within the mining area data platform are qualified. This ensures that the openness of the mining area data platform meets the requirements while ensuring the privacy of the mining area data platform, thereby improving the mining efficiency of the mining block.

[0055] The frequency of readable permission execution for authorized users corresponding to mining area information and the percentage of authorized users corresponding to writable permission for mining area information during the decision-making process for mining blocks are obtained. These parameters are then compared with execution frequency thresholds and percentage thresholds, respectively.

[0056] If the frequency of execution of readable permissions for authorized users corresponding to mining area information exceeds the execution frequency threshold during the decision-making process for the block to be mined, or if the proportion of authorized users corresponding to writable permissions for mining area information exceeds the proportion threshold during the decision-making process, then the data processing permission supervision of the mining area data platform is deemed unqualified. A data permission control signal is generated and sent to the data platform construction unit. After receiving the data permission control signal, the data platform construction unit resets the permissions of the access user terminals corresponding to the mining area information within the mining area data platform.

[0057] If the frequency of execution of readable permissions for authorized users corresponding to mining area information does not exceed the execution frequency threshold during the decision-making process for the block to be mined, and the proportion of authorized users corresponding to writable permissions for mining area information does not exceed the proportion threshold during the decision-making process, then the data processing permission supervision of the mining area data platform is deemed qualified, a data permission security signal is generated, and the data permission security signal is sent to the data platform construction unit.

[0058] The above formulas are all derived from software simulation using a large amount of data, and are selected to be close to the true values. The coefficients in the formulas are set by those skilled in the art based on the actual situation.

[0059] In use, the data acquisition terminal collects data from the mining area and sends the collected mining area information to the data platform construction unit. Upon receiving the mining area information, the data platform construction unit statistically analyzes the collected information, matches timestamps based on the acquisition time, sorts and stores the data according to the timestamp order, and constructs the mining area data platform. It also analyzes the information stored in real-time on the mining area data platform. After completing the analysis, the block type division unit receives the block type division signal, divides the mining area into block types, and through analysis, divides the sub-blocks into composite mining blocks and single mining blocks. Both composite and single mining blocks are then sent to the data platform construction unit. The feasibility decision unit makes feasibility decisions for mining sub-blocks within the mining area, marking the current sub-block as a block to be mined and the mineral as the mining entity. Through analysis, it classifies the blocks to be mined into types and makes mining decisions based on these classifications. After completing the mining decisions, the data processing and supervision unit monitors the mining area data platform and controls the access permissions for mining area information.

[0060] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An integrated mineral data acquisition system based on geological exploration and potential evaluation, characterized in that, It includes a data acquisition terminal, a data platform construction unit, a block type division unit, a feasibility decision-making unit, and a data processing and supervision unit; The data acquisition terminal collects data from the mining area and sends the collected mining area information to the data platform construction unit; the mining area information includes metal ore exploration results, resource reserves, and mineral deposits; After receiving the mining area information, the data platform construction unit statistically analyzes the collected mining area information and matches the timestamps according to the acquisition time. It sorts and stores the information according to the timestamp order to build the mining area data platform. It also analyzes the information stored in real time on the mining area data platform. After the analysis of the real-time mining area information is completed, the block type division unit receives the block type division signal and divides the mining area into block types, dividing the mining area block into i sub-blocks, where i is a natural number greater than 1. Through analysis, the sub-blocks are divided into composite mining blocks and single mining blocks. The composite mining blocks and single mining blocks are sent together to the data platform construction unit. The feasibility decision-making unit makes feasibility decisions for mining sub-blocks within the mining area, marking the current sub-block as a block to be mined and the mineral as the mining entity. Through analysis, the blocks to be mined are categorized and mining decisions are made based on this categorization. After the mining decisions are completed, the data processing and supervision unit supervises the mining area data platform and controls access to mining information. The operation process of the data processing and supervision unit is as follows: The frequency of readable permission execution for authorized users corresponding to mining area information and the percentage of authorized users corresponding to writable permission for mining area information during the decision-making process for mining blocks are obtained. These parameters are then compared with execution frequency thresholds and percentage thresholds, respectively. If, during the decision-making process for the block to be mined, the frequency of execution of readable permissions for authorized users corresponding to the mining area information exceeds the execution frequency threshold, or if the proportion of authorized users with write permissions for the mining area information exceeds the proportion threshold, the data processing permission supervision of the mining area data platform is deemed unqualified. A data permission control signal is generated and sent to the data platform construction unit. Upon receiving the data permission control signal, the data platform construction unit resets the permissions of the user terminals accessing the mining area information within the mining area data platform. If, during the decision-making process for the block to be mined, the frequency of execution of readable permissions for authorized users corresponding to the mining area information does not exceed the execution frequency threshold, and the proportion of authorized users with write permissions for the mining area information does not exceed the proportion threshold, the data processing permission supervision of the mining area data platform is deemed qualified. A data permission security signal is generated and sent to the data platform construction unit.

2. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 1, characterized in that, The operation process of the data platform construction unit is as follows: The deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points, as well as the excess of the collection and storage time of the current mining area information to be stored in the stored mining area information and the corresponding floating period of the mining area information value, are obtained. The deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points, as well as the excess of the collection and storage time of the current mining area information to be stored in the stored mining area information and the corresponding floating period of the mining area information value, are compared with the area deviation value threshold and the excess time value threshold, respectively.

3. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 2, characterized in that, If the deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points exceeds the area deviation threshold, or if the time taken to collect and store the current mining area information to be stored exceeds the time taken to exceed the corresponding mining area information value fluctuation period, then the current mining area data platform data collection is deemed unqualified, and the current time is set as an unqualified timestamp. During the time period before the unqualified timestamp, the mining area information can be accessed with public access permissions. During the time period after the unqualified timestamp is set, the mining area information is re-collected. If the deviation between the area of ​​the mining area distribution points corresponding to the timestamp in the mining area information stored in the mining area data platform and the current area of ​​the mining area distribution points does not exceed the area deviation threshold, and the excess of the collection and storage time of the current mining area information to be stored in the stored mining area information and the corresponding mining area information value fluctuation period does not exceed the excess time threshold, then the data collection of the current mining area data platform is deemed qualified, and the current time is set as the construction timestamp. The mining area information collection within the time period corresponding to the construction timestamp is qualified, and the corresponding construction timestamp is added and updated in real time according to the data storage volume of the mining area data platform.

4. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 1, characterized in that, The operation process of the block type partitioning unit is as follows: The number of mineral types in the same profile within each sub-block of the mining block and the average mineral yield of the corresponding mineral type in the same profile are obtained; the maximum interval depth of mineral yield in different profiles within each sub-block of the mining block is collected; and the type classification coefficient of each sub-block within the mining block is obtained through analysis. Compare the type classification coefficients of each sub-block within the mining area block with the type classification coefficient thresholds: If the type classification coefficient of each sub-block within a mining block exceeds the type classification coefficient threshold, it is determined that the mineral types of the corresponding sub-block within the mining block are abundant, and the corresponding sub-block is marked as a composite mining block; a composite mining block indicates that the mineral types mined in the current block may not be unique; if the type classification coefficient of each sub-block within a mining block does not exceed the type classification coefficient threshold, it is determined that the mineral types of the corresponding sub-block within the mining block are singular, and the corresponding sub-block is marked as a single mining block.

5. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 1, characterized in that, The operation process of the feasibility decision-making unit is as follows: When the demand and frequency of the mining entity in the current mining block both exceed the corresponding thresholds, the current mining entity is marked as a high-demand entity; otherwise, it is marked as a low-demand entity. The difference in the proportion of high-demand entities and low-demand entities in the block to be mined, as well as the maximum difference in the distribution of high-demand entities in each profile of the block to be mined, are obtained. The difference in the proportion of high-demand entities and low-demand entities in the block to be mined, as well as the maximum difference in the distribution of high-demand entities in each profile of the block to be mined, are compared with the proportion difference threshold and the maximum distribution difference threshold, respectively.

6. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 5, characterized in that, If the difference in the proportion of high-demand entities and low-demand entities in the block to be mined exceeds the threshold for the proportion difference, and the maximum difference in the distribution of high-demand entities in each profile within the block to be mined does not exceed the threshold for the maximum difference in distribution, then the supply and demand analysis of the current block to be mined is deemed qualified, and the corresponding block to be mined is marked as a high supply and demand block. If the difference in the proportion of high-demand entities and low-demand entities in the block to be mined does not exceed the threshold for the proportion difference, or if the maximum difference in the distribution of high-demand entities in each profile within the block to be mined exceeds the threshold for the maximum difference in distribution, then the supply and demand analysis of the current block to be mined is deemed unqualified, and the corresponding block to be mined is marked as a low supply and demand block.

7. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 6, characterized in that, The total proportion of transportation costs in the mining cost of the block to be mined and the number of real-time alternative routes for each mining location within the block to be mined are obtained. The total proportion of transportation costs in the mining cost of the block to be mined and the number of real-time alternative routes for each mining location within the block to be mined are compared with the total cost proportion threshold and the route number threshold, respectively.

8. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 7, characterized in that, If the total transportation cost in the mining cost of the block to be mined exceeds the total cost percentage threshold, or if the number of available routes for each mining location in the block to be mined does not exceed the number of routes threshold, then the corresponding block to be mined will be marked as a difficult-to-transport block. If the total transportation cost as a percentage of the total cost of the mining segment does not exceed the threshold for the total cost percentage, and the number of available routes for each mining location within the segment exceeds the threshold for the number of routes, then the corresponding segment to be mined will be marked as an easily transportable segment.

9. The integrated mineral data acquisition system based on geological exploration and potential evaluation according to claim 8, characterized in that, The block to be mined is analyzed. If the block to be mined is a high-supply-demand block, the mining decision for the corresponding block is set as mineable. If the block to be mined is a low-supply-demand block and is easily transportable, the decision for the block to be mined is set as an alternative to mining. If there are no mineable blocks or the current sub-block is a composite mining block, mining is performed on the current block. If the block to be mined is a low-supply-demand block and is difficult to transport, the decision for the block to be mined is set as not to be mined.

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