A mine exploration result intelligent evaluation method and system

Abstract

The application provides a mine exploration result intelligent evaluation method and system. When the mine exploration result intelligent evaluation is performed for an analysis requirement determined from a mine geophysical data set, a group of mountain structure element description contents for representing the analysis requirement is obtained from the mine geophysical data set, and a mine underground mine structure important information set corresponding to each to-be-determined mine information in the mine structure database is obtained. The important contents of the mine information are extracted from the to-be-determined mine information, and the important contents of the mine information are fused to obtain the important contents of the mine information. This helps to integrate the mountain structure conditions that are not commonly used, thereby making up for the influence of inaccurate mine structure exploration and improving the accuracy and reference of the determined important contents.

Description

Technical Field

[0001] This application relates to the field of detection result evaluation technology, and more specifically, to an intelligent evaluation method and system for mine detection results. Background Technology

[0002] Mine exploration is a core preliminary step in mineral resource development, mine safety production, and geological disaster prevention. The accurate assessment of exploration results directly determines the scientific validity and rationality of mine planning, geological risk assessment, and engineering scheme design. Currently, mine exploration mainly relies on geophysical exploration technology to obtain geophysical data, and then uses manual methods combined with traditional analysis to interpret and assess core information such as mountain structure, mineral distribution, and geological structure. However, the existing technical system still has many problems that urgently need to be solved in practical applications.

[0003] On the one hand, the geological structure of mines is characterized by complexity, concealment, and spatial heterogeneity. Existing technologies for analyzing mine geophysical exploration data mostly focus on extracting conventional mountain structure elements, making it difficult to integrate and excavate the less commonly used and special mountain structure conditions hidden in the data. Furthermore, during the exploration of mine structures, information deviations are easily caused by data errors and limitations in exploration methods, resulting in insufficient completeness and low accuracy of the mountain structure element information on which the assessment is based, and failing to fully characterize the actual geological structure characteristics of the mine.

[0004] On the other hand, the existing mine exploration result evaluation system lacks a standardized mechanism for extracting and integrating key mine information, resulting in low efficiency in utilizing historical undetermined mine information in the mine structure database. Traditional methods simply extract mine information from a single dimension without considering the coexistence, differences, and continuity of key mine information. This makes it difficult to form a set of key mine structure information with high reference value, leading to insufficient comparative analysis basis during the evaluation process, and an inability to effectively link exploration data with historical mine information, thus affecting the reliability of the evaluation results.

[0005] Meanwhile, in the subsequent analysis of the detection results, existing technologies rely on relatively simple analytical methods, lacking a multi-dimensional and customizable analytical system. Furthermore, they fail to establish a three-dimensional spatial correlation model for mine information, making it impossible to accurately characterize the stable collaborative relationships and content attribution relationships between mine information. Whether in sequential or parallel analysis processes, it is difficult to achieve accurate matching and efficient clustering of mine information, resulting in analysis results that cannot effectively support mine production decisions and fail to meet the demands of modern mines for precise, intelligent, and comprehensive evaluation of detection results.

[0006] Furthermore, existing mine exploration and assessment systems suffer from poor information interaction and functional scalability. Data and functional units at each stage are independent of each other, making it impossible to achieve efficient integration and dynamic updates of mine geophysical data, historical mine information, and analysis algorithm units. In addition, the lack of standardized interaction processes leads to low efficiency in the assessment process, making it difficult to quickly respond to the analysis needs of actual mine exploration and limiting the large-scale application of intelligent assessment technology for mine exploration results in actual engineering projects.

[0007] In summary, there is an urgent need for an intelligent evaluation method and system for mine exploration results that can compensate for deviations in mine structure exploration, efficiently integrate mine information, and achieve multi-dimensional intelligent analysis. Through standardized extraction and fusion of important information, matching of common features, and three-dimensional spatial correlation analysis, the accuracy, comprehensiveness, and intelligence level of mine exploration result evaluation can be improved, providing reliable technical support for mine resource development and safe production. Summary of the Invention

[0008] To address the technical problems existing in related technologies, this application provides an intelligent evaluation method and system for mine exploration results.

[0009] Firstly, a method for intelligent evaluation of mine exploration results is provided, the method comprising:

[0010] Obtain a set of mountain structure element descriptions extracted from a set of mine geophysical exploration data, wherein the set of mountain structure element descriptions includes at least one mountain structure element description for characterizing a spatial location or functional difference.

[0011] A set of important information on the underground mine structure is obtained by constructing a database of information on each undetermined mine in the mine structure database. This set of important information is obtained as follows: Important content of mine information meeting specified importance requirements is extracted from each undetermined mine information; the coexistence and differences of important content from each pair of mine information within a single undetermined mine information are statistically analyzed; continuously related important content is then merged; and the set of important information on the underground mine structure is constructed based on the processed important content of each mine information. The importance is determined based on the element popularity of the corresponding important content in the extracted undetermined mine information and its occurrence in each undetermined mine information.

[0012] Based on the common relationship between the bearing structure features extracted from the description of the corresponding set of mountain structure elements and the word features extracted from each important content, each pending important content that meets the pre-set selection requirements is determined among the important content.

[0013] The description of at least one mountain structure element and each undetermined important content are intelligently evaluated to obtain the intelligent evaluation result of mine exploration.

[0014] In this application, after intelligently evaluating the description of at least one mountain structure element and each pending important content to obtain the intelligent evaluation result of mine exploration, the method further includes:

[0015] In the mine structure database, based on the pre-set analysis method A, and in conjunction with the key analysis contents, the original mine information that matches no less than one key analysis content is analyzed and determined.

[0016] Obtain the three-dimensional information of the constructed mine information structure, wherein the three-dimensional information of the mine information structure includes: the spatial morphology of the mountain body constructed respectively corresponding to the various mine information data blocks in each undetermined mine information, and the spatial relationship used to characterize the stable collaborative relationship and the content ownership relationship;

[0017] Based on the three-dimensional information of the mine information structure, the original mine information with stable collaborative relationships is clustered to obtain target mine information sets with important matching analysis content for each type, and analysis results are generated based on each type of target mine information set.

[0018] In this application, the step of analyzing and determining, based on multiple pre-defined analysis methods and in conjunction with the key analytical content, each original mine information that matches at least one key analytical content in the mine structure database includes any one of the following operations:

[0019] In the mine structure database, based on a pre-set analysis method A, and in conjunction with the key analysis content, after executing A analysis processes in sequence, the original mine information determined by the last analysis process is obtained, each matching at least one key analysis content;

[0020] In the mine structure database, based on a pre-defined A type of analysis method and in combination with the important content of each analysis, A analysis processes are executed in parallel to obtain at least one matching mine information with a matching content matching degree determined in each analysis process, and at least one content matching degree matched based on each matching mine information, and each original mine information is selected from the matching mine information.

[0021] In this application, the analysis method A is obtained by at least one of the following methods:

[0022] Obtain the custom analysis logic and determine the analysis method based on the analysis logic;

[0023] Each analysis unit is obtained, and the corresponding analysis method is obtained by loading each analysis unit.

[0024] In this application, the following operations are performed in any analytical process other than the last analytical process:

[0025] The analysis will be based on information about each mine to be identified, as well as an analytical method.

[0026] Using the aforementioned analysis method, based on the key analytical content, each matching mine information and its corresponding content matching degree are determined from the pending mine information.

[0027] For each pending mine information as referenced, the cumulative value of the content matching degree up to the end of the real-time analysis process is calculated, and a specified number of target mine information with the highest cumulative value are selected as the pending mine information for the next analysis process; the specified number is determined according to the execution order of the analysis process.

[0028] In this application, the step of selecting original mine information from the matched mine information based on at least one content matching degree for each matched mine information includes:

[0029] For each matching mine information, perform the following operations: determine at least one content matching degree for a matching mine information, determine the target analysis method corresponding to each of the at least one content matching degree, and determine the matching degree fusion value corresponding to the matching mine information based on the method weights preset for each of the A analysis methods and the content matching degree under at least one target analysis method.

[0030] The matching mine information that meets the pre-set requirements is used as the original mine information.

[0031] In this application, the step of clustering the original mine information with stable collaborative relationships based on the three-dimensional information of the mine information structure includes:

[0032] For each piece of raw mine information, perform the following operations:

[0033] Among the key contents of the analysis, at least one sample of key contents is identified that is covered in a single original mine information.

[0034] For each important sample content, perform the following operations: In the three-dimensional information of the mine information structure, determine the target mountain spatial morphology to which the important sample content belongs, and when it is determined that the target mountain spatial morphology and the sub-mountain spatial morphology belonging to the target mountain spatial morphology have spatial relationships linking to other original mine information, cluster the original mine information and the other original mine information.

[0035] In this application, before obtaining a set of mountain structure element descriptions extracted from a set of mine geophysical exploration data, the process includes:

[0036] In response to an analysis request triggered by a target object for a set of mining geophysical exploration data, the set of mining geophysical exploration data is parsed to obtain the description content of each mountain structure element and the bearing capacity information corresponding to each description content of the mountain structure element. The bearing capacity information is used to characterize the strength of the mountain structure and the various mountain states that match the strength of the mountain structure.

[0037] Based on the load-bearing foundation information of each mountain structure element description, determine the mountain structure element description content corresponding to the mountain structure strength, and for each mountain structure element description content corresponding to the mountain structure strength, perform the following operations: Based on the mountain structure element description content corresponding to a mountain structure strength, and the mountain structure element description content used to describe the mountain structure strength, form a corresponding mountain structure element description content group.

[0038] In this application, before obtaining a set of descriptions of mountain structure elements extracted from a set of mine geophysical exploration data, a set of important information about the underground mine structure is constructed in the following manner:

[0039] Extract the important content of the mine information that meets the specified requirements from each of the pending mine information;

[0040] Each pair of important mine information items coexisting in a single pending mine information item is grouped into a mine information important content group;

[0041] For each group of important mine information content, perform the following operations: Calculate the average difference between the two corresponding important mine information contents when they appear in each pending mine information, and based on the average difference, determine if the two important mine information contents are consecutive, then merge the two important mine information contents into one important mine information content;

[0042] Based on the processed information of each mine, a set of important information about the underground mine structure is constructed.

[0043] In this application, the construction of a set of important information on the underground mine structure based on the processed information of each mine includes:

[0044] For each processed important piece of mine information, perform the following operations: In each processed important piece of mine information, count the total number of other important pieces of information that coexist with an important piece of mine information in a single pending mine information;

[0045] Using the important content of each processed mine information as the current mountain spatial form, and establishing the internal structural spatial relationship of the mine among the current mountain spatial forms where the total number of other important content differs, we obtain the set of important layout information of the mountain space.

[0046] In the set of important layout information of the mountain space, every three current mountain space forms that meet the fusion requirements are merged into a current mountain space form corresponding to the corresponding combination of important content; wherein, the fusion requirements are: conforming to the pre-set three-mountain space form structure, and the combination of important content obtained from the corresponding three mine information contents exists in each pending mine information;

[0047] Based on the important content corresponding to each current mountain spatial form in the aforementioned important layout information set of mountain space, an important information set of underground mine structure is constructed.

[0048] In this application, the spatial morphological structure of the three mountains includes any one of the following:

[0049] Two current mountain spatial forms point to the same current mountain spatial form;

[0050] Two current mountain spatial forms point to the same current mountain spatial form, and there is a spatial relationship between the two current mountain spatial forms.

[0051] In this application, the importance of a significant piece of mine information is determined in the following manner:

[0052] Calculate the original element popularity of an important piece of mine information in the corresponding pending mine information, and the abnormal mine information popularity of the same important piece of mine information in each pending mine information.

[0053] After narrowing down the original element heat values, the target element heat value is obtained. The result of the function processing of the target element heat value and the abnormal mine information heat value is used as the importance value of the important content of the mine information.

[0054] Secondly, an intelligent evaluation system for mine exploration results is provided, comprising a processor and a memory that communicate with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above-mentioned method.

[0055] The intelligent evaluation method and system for mine exploration results provided in this application, when performing intelligent evaluation of mine exploration results for an analysis requirement determined from a set of mine geophysical exploration data, first obtains a set of mountain structure element descriptions extracted from the set of mine geophysical exploration data to characterize an analysis requirement, and then obtains a set of important information on the underground mine structure composed of information on each pending mine in the corresponding mine structure database. Each important content in the set of important information on the underground mine structure is obtained by extracting important mine information content that meets specified importance requirements from each pending mine information, and then fusing consecutive important mine information content from all extracted important mine information content. This allows for the integration of less frequently used mountain structure conditions by fusing consecutive important mine information content, thereby compensating for the impact of inaccurate mine structure exploration and improving the accuracy and reference value of the determined important content.

[0056] Furthermore, by calculating the common feature relationship between the bearing structure characteristics corresponding to a set of mountain structure element descriptions and the word features of each important content, each undetermined important content is selected from each important content. This allows for an overall assessment of the correlation between important content and its spatial location or functional differences, helping to expand the identification of undetermined important content with a high degree of fit with its spatial location or functional differences, thus improving the accuracy of intelligent assessment of mine exploration results. Then, at least one mountain structure element description from a set of mountain structure element descriptions, along with each selected undetermined important content, are taken as each analytical important content. This means that the analytical important content determined for a given spatial location or functional difference includes both at least one mountain structure element description directly extracted from the mine geophysical data set and undetermined important content selected from the analytical important content set. This is equivalent to expanding and identifying more analytical important content based on the mine geophysical data set. Therefore, on the one hand, it improves the quality of intelligent assessment of mine exploration results; on the other hand, it provides more analytical basis for subsequent analysis processes, thereby improving the accuracy and confidence of the assessment. Attached Figure Description

[0057] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0058] Figure 1 This is a flowchart of an intelligent evaluation method for mine exploration results provided in an embodiment of this application. Detailed Implementation

[0059] To better understand the above technical solutions, the technical solutions of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this application and the specific features in the embodiments are detailed descriptions of the technical solutions of this application, rather than limitations on the technical solutions of this application. In the absence of conflict, the embodiments of this application and the technical features in the embodiments can be combined with each other.

[0060] Please see Figure 1 This paper presents an intelligent evaluation method for mine exploration results, which may include the technical solutions described in steps 201-204.

[0061] Step 201: Obtain a set of mountain structure element descriptions extracted from the mine geophysical exploration data set, wherein the set of mountain structure element descriptions includes at least one mountain structure element description used to characterize a spatial location or functional difference.

[0062] Among them, the description of the mountain structure elements in this group includes at least one description of the mountain structure elements that can characterize a specific spatial location or functional difference.

[0063] Mining geophysical exploration datasets refer to the collection of various raw and preprocessed data related to the geological structure of mountains, collected in mining exploration areas using mining geophysical exploration techniques such as seismic exploration, electromagnetic exploration, gravity exploration, and magnetic exploration. Data types include seismic wave propagation velocity, electromagnetic field response, gravity anomalies, magnetic field strength, and rock density. Data formats include numerical, waveform, and image types, serving as the fundamental data source for extracting structural elements of mountains.

[0064] Description of mountain structure elements: This refers to structured information extracted and processed from the mining geophysical data set to characterize the core features of the mountain's geological structure. This information can take the form of textual descriptions, numerical parameters, logical identifiers, or graphical representations. Specifically, mountain structure elements refer to key geological features related to mountain stability, mineral distribution, and geological structure, such as the occurrence (strike, dip, angle) of rock strata, fault location and scale, ore body boundaries and thickness, depth of rock strata interfaces, material composition of geological bodies, and the degree of joint and fracture development. The description must accurately characterize these elements to meet the requirements of clarity and reproducibility for patent protection.

[0065] Spatial location representation: refers to the information dimensions in the description of mountain structure elements used to clarify the three-dimensional spatial orientation of geological features, including absolute location (latitude and longitude, altitude), relative location (distance relative to the mine shaft / exploration line, spatial relationship with adjacent geological bodies), spatial range (fault extension length, ore body distribution area), etc. Its core function is to define the spatial boundaries of geological features and provide location basis for mine mining planning and geological disaster early warning.

[0066] Functional difference characterization: refers to the information dimensions in the description of mountain structure elements used to distinguish the differences in use function, physical characteristics, and engineering value of different geological regions or geological bodies. These include differences in geological stability, mineral enrichment, hydrological conditions, and engineering applicability. Its core function is to provide a basis for functional differentiation for mine production decisions (selection of mining areas and design of support schemes).

[0067] Quantity Limitation: The extracted descriptions of mountain structure elements can be single elements or combinations of multiple elements depending on exploration needs, and must include at least one complete element description. They must meet the requirements of "clear features, quantifiable parameters, and logical consistency" to ensure effective characterization of a core geological feature of the mountain.

[0068] In this application, the description of mountain structure elements mainly includes the rock structure of the mountain and the spatial location of mineral sources. In practical applications, all or part of the core and important content can be extracted based on the spatial location or functional differences covered by the mining geophysical data set to form a group of mountain structure element descriptions that meet the analysis requirements.

[0069] The description of mountain structure elements in this application includes: the rock structure of the mountain, the spatial location of mineral sources, etc.

[0070] For example, in order to process a difference in spatial location or function, a set of mountain structure element descriptions extracted from a set of mining geophysical data is obtained. The obtained set of mountain structure element descriptions is used to characterize an analysis requirement and includes no less than one mountain structure element description.

[0071] It is understandable that, depending on the spatial location or functional differences covered by the geophysical data set, the obtained description of a set of mountain structure elements may include all the important content obtained from the mine structure exploration based on the geophysical data set; or, the obtained description of a set of mountain structure elements may only include some of the important content obtained from the mine structure exploration based on the geophysical data set.

[0072] Step 202: Obtain the set of important information on the underground mine structure of the mine, which is composed of information on each pending mine in the corresponding mine structure database. The set of important information on the underground mine structure is obtained in the following way: important content of mine information that meets the specified importance requirements is extracted from each pending mine information, and the coexistence and differences of important content of each pair of mine information in a single pending mine information are statistically analyzed. The important content of mine information with continuous content is merged, and the set of important information on the underground mine structure is constructed based on the processed important content of each mine information. The importance is determined according to the element heat of the corresponding important content of mine information in the extracted pending mine information and the occurrence of it in each pending mine information.

[0073] In this embodiment of the application, when constructing a set of important information on the underground mine structure corresponding to each undetermined mine information in the mine structure database, important content of mine information can be extracted from each undetermined mine information. Then, among all the extracted important content of mine information, multiple important content of mine information with continuous content can be merged. Finally, based on the processed important content of each mine information, a set of important information on the underground mine structure can be constructed.

[0074] In this application embodiment, there are two feasible methods for constructing the important information set of underground mine structure, which are described below:

[0075] Method 1: After merging every two consecutive pieces of important mine information, the merged important mine information, as well as the important mine information that cannot be merged with other important mine information, will be regarded as each important piece of information.

[0076] This application embodiment illustrates a process for constructing a set of important information about the underground mine structure, and explains the processing procedures performed when constructing the set of important information about the underground mine structure:

[0077] Step 301: Extract the important content of each pending mine information that meets the specified requirements.

[0078] When performing step 301, all the pending mine information included in the real-time mine structure database is used as the basis for extracting the set of important information of the underground mine structure. Then, for each pending mine information, the following operations are performed: mine structure exploration processing is performed on a pending mine information to obtain the corresponding important content; the importance of each important content is calculated, and the important content that meets the specified requirements is selected as the important content of each mine information.

[0079] Understandably, the selection criteria for important content in the mining information can be any of the following: the Y most important pieces of content; or important content whose importance reaches a specified target value; where Y is a specified positive integer. When calculating the importance of important content, its importance is determined based on the element popularity of the corresponding important content in the extracted candidate mining information and its occurrence in each candidate mining information set.

[0080] For example, in the embodiments of this application, the process of determining the important content of each pending mine information is illustrated. Assuming the specified requirement is to select the 10 most important content items, then for each pending mine information in the mine structure database, the 10 most important content items can be determined as the 10 selected important content items of the mine information.

[0081] In addition, it should be understood that after exploring the mine structure in the pending mine information, what is directly obtained is the important content of each item. Then, by performing importance calculation and selection, some important content can be selected as important content of the mine information. Therefore, in describing the importance calculation process, it can be described from the dimension of important content or important content of mine information.

[0082] Taking the description of the importance calculation process from the perspective of important content of mine information as an example, when determining the importance of any important content of mine information in a pending mine information, the original element heat of an important content of mine information in the corresponding pending mine information and the abnormal mine information heat of an important content of mine information in each pending mine information can be calculated; after narrowing the value of the original element heat, the target element heat is obtained, and the result of the function processing of the target element heat and the abnormal mine information heat is taken as the importance value of an important content of mine information.

[0083] In this way, by limiting the value of element popularity when calculating importance, we can avoid element popularity having too much influence in the importance calculation. This will prevent the low importance value of specialized information due to the infrequent appearance of obscure specialized information in the mining information when extracting important content from vertical mining information, thereby improving the extraction effect of important content from mining information.

[0084] Step 302: Divide the important content of each pair of mine information coexisting in a single pending mine information into a mine information important content group.

[0085] For example, after determining the important content of mine information from each pending mine information, the two pieces of important mine information that coexist in a single pending mine information are divided into a group of important mine information. In other words, each group of important mine information includes two pieces of important mine information that coexist in a single pending mine information.

[0086] Optionally, in determining the important content groups of each mine information within the scope of each pending mine information, each pair of important content belonging to the same pending mine information can be combined once to obtain the important content groups of each mine information belonging to the same pending mine information; then, deduplication is performed on the important content groups of each mine information determined for different pending mine information to finally obtain the processed important content groups of each mine information.

[0087] Step 303: For each group of important mine information content, perform the following operations: Calculate the average difference between the two corresponding important mine information contents when they appear in each pending mine information, and merge the two important mine information contents into one important mine information content when the two important mine information contents are consecutive based on the average difference.

[0088] After dividing the important content groups of each mine information, it is determined whether the two important content groups of each mine information are continuous, and two important content groups of mine information with continuous content are merged into one important content group of mine information. The method to determine the continuity between two important content groups of mine information can be: the average difference determined under the corresponding combination method is the difference corresponding to the continuity between the two important content groups of mine information.

[0089] It is understandable that, for two important pieces of mine information, there are two possible combinations depending on the prior important pieces of mine information. Therefore, in some feasible implementations, the calculated average difference specifically includes the average difference under different combinations; in other feasible implementations, combined with actual processing needs, the calculated average difference may be the mean difference under the combination that can obtain the minimum difference.

[0090] When calculating the average difference between important contents of two mine information under a certain combination method when they appear in each undetermined mine information, one can first determine at least one coexisting mine information corresponding to the important contents of the two mine information in each undetermined mine information, then calculate the difference between the important contents of the two mine information in each undetermined mine information, and then calculate the average value of at least one difference to obtain the average difference.

[0091] Based on this, there are two feasible processing methods in the process of integrating important mine information:

[0092] In a feasible process of integrating important content of mine information, the following operations can be performed for each group of important content of mine information: according to the two combination methods determined for the two important content of mine information, the average difference when the two important content of mine information appears in each pending mine information is calculated; when the two important content of mine information are determined to be continuous based on any average difference, the two important content of mine information are integrated into one important content of mine information according to the corresponding combination method.

[0093] In other feasible processes of merging important mine information content, the following operations can be performed for each group of important mine information content: Calculate the minimum difference between the two corresponding important mine information contents when they appear in each pending mine information, and determine the combination method corresponding to the minimum difference; then obtain the average difference based on each minimum difference, and determine the two important mine information contents as consecutive according to the average difference, and merge them into one important mine information content according to the corresponding combination method; When merging two important mine information contents, the two important mine information contents can be concatenated according to the corresponding combination method, and consecutive repeated characters in the concatenation result can be removed to obtain the merged important mine information content; the repeated characters can be single or multiple.

[0094] Step 304: Based on the processed information of each mine, construct a set of important information on the underground mine structure.

[0095] In a feasible implementation, after merging two important pieces of mine information from the corresponding continuous content, the merged important pieces of mine information, as well as the important pieces of mine information that cannot be merged with the other important pieces of mine information, can be used as each important piece of information to form a corresponding set of important information on the underground mine structure.

[0096] In other feasible implementations, steps 301-304 can be repeated for the important content of the fused mine information and the important content of the mine information that cannot be fused with the other important content of the mine information, until the number of repetitions is met. Based on the important content of the fused mine information obtained after the last step and the important content of the mine information that cannot be fused with the other important content of the mine information, a set of important information of the underground mine structure can be constructed.

[0097] In this way, by integrating continuous important content from mine information that meets the specified importance requirements, the impact of erroneous mine structure exploration can be compensated for. This allows the identified important content to include information that does not appear frequently, thus enabling the compilation of effective important content for any type of pending mine information.

[0098] Method 2: After merging every two consecutive pieces of important mine information, based on the merged important mine information and the important mine information that cannot be merged with other important mine information, a set of important mountain spatial layout information is constructed. Based on the mountain spatial morphology and structure in the set of important mountain spatial layout information, each important piece of information is sorted out.

[0099] This application embodiment illustrates another process for constructing a set of important information about an underground mine structure, and explains the construction process involved:

[0100] Step 401: Extract the important content of the mine information that meets the specified requirements from each pending mine information.

[0101] When performing step 401, the same processing method as step 301 can be used, and this application will not elaborate further here.

[0102] Step 402: Divide the important content of each pair of mine information coexisting in a single pending mine information into a mine information important content group.

[0103] When performing step 402, the same processing method as step 302 can be used, and this application will not elaborate further here.

[0104] Step 403: For each group of important mine information content, perform the following operations: Calculate the average difference between the two corresponding important mine information contents when they appear in each pending mine information, and based on the average difference, determine when the two important mine information contents are consecutive, and merge the two important mine information contents into one important mine information content.

[0105] Step 404: For each processed important content of mine information, perform the following operation: In each processed important content of mine information, count the total number of other important content that coexists with an important content of mine information in a single pending mine information.

[0106] For example, when performing step 404, the following operations can be performed for each processed important content of the mine information: determine the pending mine information that covers the important content of the mine information, and count the total number of processed important content of the mine information included in the pending mine information, and based on the determined total number of important content of the mine information, determine the total number of other important content that coexists with the important content of the mine information in a single pending mine information.

[0107] For example, taking a pending mine information as an example, the key mine information extracted from this pending mine information is definite. By integrating these consecutive key pieces of information, the processed key mine information included in the pending mine information can be determined. Furthermore, for each processed key piece of mine information, its coverage within the pending mine information can be determined, thereby allowing for the calculation of the total number of other key pieces of information.

[0108] Step 405: Using the important content of each processed mine information as the current mountain spatial form, and establishing the internal structural spatial relationship of the mine among the current mountain spatial forms where the total number of the remaining important content differs, a set of important layout information of the mountain space is obtained.

[0109] In this embodiment of the application, a set of important spatial layout information of the mountain is constructed based on the coexistence relationship between important contents of the processed mine information.

[0110] For example, taking the important content of each processed mine information as each current mountain spatial form, the internal structural spatial relationship of the mine is established between the current mountain spatial forms where the total number of the remaining important content differs. Finally, a set of important layout information of the mountain space is obtained. The direction of the internal structural spatial relationship of the mine is: from the current mountain spatial form with a smaller total number of the remaining important content to the current mountain spatial form with a larger total number of the remaining important content.

[0111] Step 406: In the set of important layout information of mountain space, merge every three current mountain space forms that meet the fusion requirements into a current mountain space form corresponding to the corresponding combination of important content; wherein, the fusion requirements are: conforming to the pre-set three-mountain space form structure, and the combination of important content obtained from the corresponding three mine information contents exists in each pending mine information.

[0112] When performing step 406, in the set of important layout information of the mountain space, every three current mountain space forms that meet the fusion requirements are merged into a current mountain space form corresponding to the corresponding combination of important content.

[0113] For example, three current mountain spatial forms that match the pre-defined three-mountain spatial structure can be found in the set of important layout information of mountain spaces. Then, according to the pre-defined content fusion method, based on the important content of the mine information corresponding to the three current mountain spatial forms, a combined important content is obtained. After that, if the total number of occurrences of the combined important content in each pending mine information is higher than a specified threshold, the fusion operation of the important content can be determined to be valid. Therefore, the three current mountain spatial forms can be merged into a new current mountain spatial form, and the original three current mountain spatial forms can be deleted. The specified threshold value is set according to the actual processing needs. When combining important content, the three important mine information contents can be concatenated with suffixes. One feasible way to implement suffix concatenation is to directly concatenate the content and then remove duplicate single or multiple characters in the concatenation result. The pre-set content fusion method can be to randomly combine the three important mine information contents to obtain all possible combined important content; or, if there is a pre-statistical combination pattern, to fuse the content according to the determined combination pattern to obtain a combined important content. This application does not impose specific restrictions on this.

[0114] It is understandable that the spatial morphology of a mountain includes any of the following: two current mountain spatial forms point to the same current mountain spatial form; two current mountain spatial forms point to the same current mountain spatial form, and there is a spatial relationship between the two current mountain spatial forms.

[0115] For example, consider the pre-defined three-mountain spatial structure in this embodiment. Assume that the current mountain spatial structure X and Z both point to the current mountain spatial structure Y; or, the current mountain spatial structure X and Z both point to the current mountain spatial structure Y, and there is a spatial relationship between the current mountain spatial structure X and Z. Then, if the subsequent splicing is pre-defined according to the order (X, Y, Z), the important mine information content corresponding to the current mountain spatial structure X, the current mountain spatial structure Y, and the current mountain spatial structure Z can be suffixed and spliced ​​according to the order XYZ to obtain new combined important content. Furthermore, when the combined important content is determined to be valid, that is, when the total number of times the combined important content appears in each pending mine information reaches a specified threshold, the three current mountain spatial structures that are isomorphic to the pre-defined three-mountain spatial structure are merged in the set of important layout information of mountain space to obtain a new current mountain spatial structure, and the combined important content is used as the important content corresponding to the new current mountain spatial structure.

[0116] In this way, by using the pre-defined spatial morphology of the three mountains, the current spatial morphology can be analyzed and organized in the important layout information set of the mountain space. This reduces the complexity of the important layout information set of the mountain space while combining important content with continuous content, thereby further reducing the impact of mine structure exploration.

[0117] Step 407: Based on the important content corresponding to each current mountain spatial form in the important layout information set of mountain space, construct an important information set of underground mine structure.

[0118] Based on the pre-defined spatial morphology of the three mountains, after organizing the important layout information set of the mountain space, the important content corresponding to each current mountain spatial morphology in the important layout information set of the mountain space can be used as important content to form the corresponding important information set of the underground mine structure.

[0119] Furthermore, after completing the construction of the important information set of the underground mine structure, during the execution of step 202, the important information set of the underground mine structure of the mine can be obtained from the information of each pending mine in the corresponding mine structure database.

[0120] In addition, it should be understood that in this application embodiment, the pending mine information uploaded by other devices is obtained, and the content of the mine structure database is updated based on the newly obtained pending mine information. Based on the updated mine structure database, the above-mentioned processing method one or method two is used again to construct the set of important information of the underground mine structure.

[0121] In this way, during the processing of steps 401-407, the important content of mine information with continuous content can be effectively determined based on the average difference between the important content of mine information and the relationship of the spatial morphology and structure of the mountain. This makes up for the impact caused by the poor results of mine structure exploration and provides a guarantee for the construction of the set of important information of underground mine structure.

[0122] Step 203: Based on the commonalities between the load-bearing structural features extracted from the description of the corresponding set of mountain structural elements and the word features extracted from each important content, determine the pending important content that meets the pre-set selection requirements among each important content.

[0123] For example, when extracting key information from a set of important information about an underground mine structure that meets pre-defined selection criteria, the corresponding load-bearing structural features can be extracted from the obtained description of a set of mountain structure elements. Then, by calculating the similarity between the load-bearing structural features and the word features of each key information, the commonalities between each key information and its real-time spatial location or functional differences can be obtained, and the L most similar key information can be selected as key information that meets the pre-defined selection criteria. The value of L needs to be set according to the actual processing requirements.

[0124] In extracting word features that carry structural features and important content, various feasible text feature extraction methods can be used, and this application does not impose specific restrictions on them.

[0125] Step 204: Perform intelligent evaluation on at least one description of the mountain structure element and each pending important content to obtain the intelligent evaluation result of mine exploration.

[0126] For example, at least one key analytical element that represents the spatial location or functional differences in real time, along with newly selected key elements to be determined, can be intelligently evaluated to obtain intelligent evaluation results for mine exploration, which can then be used in subsequent analysis processes.

[0127] Furthermore, this is a schematic diagram of the analysis process based on each key analytical content in the embodiments of this application, and the analysis process performed based on each key analytical content after obtaining it is explained:

[0128] Step 501: In the mine structure database, based on the pre-set analysis method A, and in combination with the key analysis content, analyze and determine the original mine information that matches no less than one key analysis content.

[0129] In this embodiment of the application, when performing step 501, it is necessary to first determine the analysis method A on which the analysis is based.

[0130] It is understandable that analysis method A can be obtained in any of the following ways: obtaining custom analysis logic and determining analysis methods based on the analysis logic; obtaining analysis units and obtaining corresponding analysis methods by loading the analysis units. The custom analysis logic can be defined by the development object or the target object using the analysis function; loading analysis units from an external system allows calling the analysis methods provided by the external system for analysis; the value of A is determined based on the actual analysis method obtained.

[0131] This allows for processing based on multiple feasible analysis methods during the analysis phase, enabling the comprehensive processing of analysis results from various methods during the analysis process. Furthermore, since the analysis methods used may include custom analysis logic, personalized customization of the analysis methods is supported, which helps to improve the analysis results.

[0132] Furthermore, after determining the analysis method A as the basis for analysis, based on the analysis method A and in combination with the important content of each analysis, each original mine information that matches no less than one important content of analysis is determined from each pending mine information in the mine structure database.

[0133] It is understood that this application does not limit the analysis logic corresponding to analysis method A. Depending on the actual processing needs, various feasible text analysis logics can be selected for processing. For example, feasible analysis logics may include: performing content matching based on each important analysis content; and performing vector similarity matching between each important analysis content and each text to be determined.

[0134] In this embodiment of the application, during the process of analyzing and obtaining the original mine information according to analysis method A, the following two execution methods can be used for analysis, which are described separately below:

[0135] Execution Method 1: Perform serial analysis based on analysis method A.

[0136] For example, in the processing of method one, in the mine structure database, according to the pre-set analysis method A, and in combination with the important content of each analysis, after executing A analysis processes in sequence, the original mine information determined by the last analysis process is obtained, which matches no less than one important content of each analysis.

[0137] Understandably, during serial analysis, the execution order of various analysis methods can be determined first according to the actual processing needs. Based on this, for any analysis process, the corresponding analysis method can be determined according to the pre-set execution order. In the serial processing, one analysis process corresponds to one analysis method.

[0138] Taking any analysis process other than the last one as an example, perform the following operations: Determine the information of each pending mine as the basis for the analysis, and the analysis method used (assuming the analysis method used in the real-time analysis process is: analysis method Z); Using analysis method Z, based on the important content of each analysis, determine each matching mine information and its corresponding content matching degree among the information of each pending mine; then, for each information of each pending mine, calculate the cumulative value of the content matching degree up to the real-time analysis process, and select the specified number of target mine information with the highest cumulative value as the information of each pending mine as the basis for the next analysis process; the specified number is determined according to the execution order of the analysis process; the value of the specified number determined for different analysis processes may be different.

[0139] It is understandable that, for the information on each undetermined mine based on an analysis process, the initial analysis process uses all undetermined mine information from the mine structure database, while the information on each undetermined mine based on subsequent analysis processes is obtained after selection from the previous analysis process. Moreover, given the existence of A analysis methods, there are corresponding A analysis processes. Furthermore, in each analysis process, based on the key content of each analysis, it is possible to analyze and determine each matching mine information and its corresponding content matching degree among the undetermined mine information used for analysis. The content matching degree can be obtained using various feasible processing methods in the field of analysis, and this application does not impose specific limitations on it. The content matching degree is used to describe the degree of matching between the analyzed matching mine information and its spatial location or functional differences.

[0140] In this way, during the serial processing, the input of the subsequent analysis process is the output of the previous analysis process. This allows the analysis scope to be gradually narrowed by executing the serial analysis process. Finally, based on the cumulative value of the matching degree of the content determined by each analysis process for the information of the mine to be determined, the original mine information that meets the requirements can be effectively analyzed.

[0141] Execution Method 2: Perform parallel analysis based on Analysis Method A.

[0142] In the processing of Method 2, in the mine structure database, according to the pre-set Analysis Method A, combined with the important content of each analysis, A analysis processes are executed in parallel to obtain at least one matching mine information with a matching content matching degree determined in each analysis process, and at least one content matching degree matched based on each matching mine information, and each original mine information is selected from each matching mine information.

[0143] For example, in the process of selecting original mine information from a set of matched mine information based on at least one content matching degree for each matched mine information, the following operations can be performed for each matched mine information: determine at least one content matching degree for a matched mine information, determine the target analysis method corresponding to each of the at least one content matching degree, and determine the matching degree fusion value corresponding to a matched mine information by combining the content matching degree under at least one target analysis method according to the pre-set method weights for each method A. Then, the matched mine information whose corresponding matching degree fusion value reaches the pre-set requirements is taken as the original mine information.

[0144] Understandably, during the parallel analysis process, analysis method A can be adopted, in which A analysis processes are executed in parallel among the various undetermined mine information included in the mine structure database. Then, by sorting the matching degree fusion values ​​of the matching mine information in the A analysis processes, the Q matching mine information with the highest matching degree fusion value is selected as the original mine information that meets the pre-set requirements. The value of Q is set according to the actual processing needs and is not specifically restricted here.

[0145] In some feasible implementations, taking the calculation of the matching degree fusion value for a matching mine information as an example, the matching degree of the content determined by the A analysis methods for the matching mine information can be weighted and superimposed according to the method weights set for the corresponding A analysis methods to obtain the matching degree fusion value corresponding to the matching mine information. Among them, when the analysis result of an analysis method does not include the matching mine information, the matching degree fusion value of the matching mine information under that analysis method is 0.

[0146] In this way, during parallel processing, the analysis process is executed in parallel, and the results of each analysis process are comprehensively selected and merged into a final analysis result. This allows for the effective analysis of the original mine information that meets the requirements based on the matching situation under various analysis processes.

[0147] Step 502: Obtain the three-dimensional information of the constructed mine information structure, wherein the three-dimensional information of the mine information structure includes: the spatial morphology of the mountain body constructed respectively corresponding to the various mine information data blocks in each undetermined mine information, and the spatial relationship used to characterize the stable collaborative relationship and the content ownership relationship.

[0148] In this embodiment, to analyze the information of each undetermined mine in the mine structure database from the perspective of mine information structure, after constructing a set of important information on the underground mine structure for the mine structure database, corresponding three-dimensional information of the mine information structure can be constructed for each undetermined mine information included in the mine structure database. Based on this, in the processing of step 502, the pre-constructed three-dimensional information of the mine information structure can be processed. The three-dimensional information of the mine information structure includes mountain spatial morphologies constructed respectively for each type of mine information data block in each undetermined mine information, as well as spatial relationships used to characterize the stable collaborative relationship and the content belonging relationship; each mountain spatial morphology has multiple types, used to correspond to data blocks with different structures in the mine information, and each mountain spatial morphology matches the corresponding element content.

[0149] The process of constructing the three-dimensional information structure of a mine is explained below:

[0150] When constructing a three-dimensional information structure for mine information, the first step is to segment the mine information data of each undetermined mine and store it as mountain spatial morphology in a graph database. Then, based on the constructed set of important information about the underground mine structure, corresponding important content is matched to the spatial morphology content of each mountain. Next, based on the coverage or stable collaborative relationships between the undetermined mine information, the connection relationships between the mountain spatial morphologies in the graph database are generated. Based on this, after constructing the corresponding three-dimensional information structure for mine information based on each mountain spatial morphology and the spatial relationships between them, the three-dimensional information structure for mine information can represent the stable collaborative relationships between the undetermined mine information and the attribution of important content within the undetermined mine information.

[0151] It is understandable that the construction of the three-dimensional information of the mine information structure and the updating of the important information set of the underground mine structure can be synchronized. When the important information set of the underground mine structure is updated, the corresponding three-dimensional information of the mine information structure needs to be updated.

[0152] Step 503: Based on the three-dimensional information of the mine information structure, cluster the original mine information with stable collaborative relationships to obtain target mine information sets of various matching analysis contents, and generate analysis results based on various target mine information sets respectively.

[0153] When performing step 503, the following operations can be performed for each original mine information: Among the important content of each analysis, determine at least one sample important content that is covered in one original mine information; and for each sample important content, perform the following operations: In the three-dimensional information of the mine information structure, determine the target mountain spatial morphology to which the sample important content belongs, and when it is determined that the target mountain spatial morphology and the sub-mountain spatial morphology belonging to the target mountain spatial morphology have spatial relationships linked to other original mine information, cluster one original mine information and the other original mine information.

[0154] For example, for each important analytical content, the following operations can be performed: In each original mine information set, identify at least one key mine result information that covers one important analytical content; thus, for each original mine information set, identify at least one corresponding sample of important content within each important analytical content. Furthermore, to ensure strong matching between the clustered original mine information sets, we can start with the sample of important content from the original mine information sets. In the mine information data block with the highest matching sample of important content, we search for links to other original mine information sets, and based on the established stable collaborative relationships, cluster the original mine information sets.

[0155] In determining the mining information data block with the highest matching of important sample content, the target mountain spatial morphology to which the important sample content belongs, as well as the sub-mountain spatial morphology of the target mountain spatial morphology, can be determined in the three-dimensional information of the mining information structure. Furthermore, taking the processing of a piece of original mining information as an example, after determining the target mountain spatial morphology and sub-mountain spatial morphology corresponding to the original mining information, it is searched in the three-dimensional information of the mining information structure to see if there is a spatial relationship between the determined target mountain spatial morphology and sub-mountain spatial morphology and the other pieces of original mining information. And if it is determined that there is such a relationship, the other pieces of original mining information that are pointed to are clustered with the original mining information processed in real time.

[0156] In this way, by determining the stable collaborative relationships between mine information based on the three-dimensional information structure of mine information, it is possible to identify situations where a piece of original mine information needs to be linked to other original mine information for supplementary content description. Furthermore, by clustering the original mine information that has close matching, the usability of the analysis results can be improved.

[0157] In summary, in the embodiments of this application, when realizing intelligent evaluation and, for example, analysis and processing of mine exploration results, an analysis system including different functional units can be constructed to perform relevant important content extraction and analysis processes.

[0158] This application embodiment illustrates the process of the auxiliary customer service system performing analysis, and explains the analysis and interaction process under feasible processing scenarios:

[0159] Step 701: The business equipment sends the imported mine information.

[0160] Step 702: Build the analysis index.

[0161] The components include three-dimensional information about the mine's information structure and a set of important information about the underground mine structure.

[0162] Step 703: Send the representation information of the completed analysis index assembly to the business equipment.

[0163] Step 704: The external device registers the search algorithm unit.

[0164] Among them, the analysis function can be realized by means of the search algorithm unit.

[0165] Step 705: The external device assigns weights to the configuration search algorithm unit.

[0166] Step 706: Complete the loading of the search algorithm unit.

[0167] Step 707: Send a confirmation message indicating that loading is complete to an external device.

[0168] Step 708: The client device inputs the set of mining geophysical exploration data into the business device.

[0169] Step 709: The business equipment sends the mining geophysical data set to the data analysis network.

[0170] Step 710: Feed back the description of the mountain structure elements extracted from the mining geophysical data set to the business equipment.

[0171] Step 711: Based on the obtained description of the mountain structure elements, the business device initially feeds back to the client device content related to the description of the mountain structure elements.

[0172] Step 712: The business equipment triggers content analysis based on a set of mountain structure element descriptions.

[0173] Step 713: Complete the intelligent evaluation of the mine exploration results, and based on the important content of the analysis, obtain the clustering results of the original mine information.

[0174] Step 714: Feed back the clustering results of each original mine information to the business equipment.

[0175] Step 715: The business equipment processes each clustering result.

[0176] Step 716: The business device presents the response content based on the mining geophysical data set to the client device.

[0177] Based on the above, an intelligent evaluation system for mine exploration results is presented, including a processor and a memory that communicate with each other. The processor is used to read computer programs from the memory and execute them to implement the above-described method.

[0178] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method during runtime.

[0179] In summary, based on the above scheme, when conducting intelligent evaluation of mine exploration results for an analysis requirement determined from the mine geophysical exploration data set, a set of mountain structure elements describing the analysis requirement is first obtained from the mine geophysical exploration data set. Then, a set of important information on the underground mine structure is obtained from the information of each undetermined mine in the corresponding mine structure database. The important content in the set of important information on the underground mine structure is obtained by extracting important mine information that meets the specified importance requirements from each undetermined mine information set, and then fusing the continuous important mine information content from all extracted important mine information content. This allows for the integration of less frequently used mountain structure conditions by fusing continuous important mine information content, thereby compensating for the impact of inaccurate mine structure exploration and improving the accuracy and reference value of the determined important content.

[0180] Furthermore, by calculating the common feature relationship between the bearing structure characteristics corresponding to a set of mountain structure element descriptions and the word features of each important content, each undetermined important content is selected from each important content. This allows for an overall assessment of the correlation between important content and its spatial location or functional differences, helping to expand the identification of undetermined important content with a high degree of fit with its spatial location or functional differences, thus improving the accuracy of intelligent assessment of mine exploration results. Then, at least one mountain structure element description from a set of mountain structure element descriptions, along with each selected undetermined important content, are taken as each analytical important content. This means that the analytical important content determined for a given spatial location or functional difference includes both at least one mountain structure element description directly extracted from the mine geophysical data set and undetermined important content selected from the analytical important content set. This is equivalent to expanding and identifying more analytical important content based on the mine geophysical data set. Therefore, on the one hand, it improves the quality of intelligent assessment of mine exploration results; on the other hand, it provides more analytical basis for subsequent analysis processes, thereby improving the accuracy and confidence of the assessment.

[0181] It should be understood that the systems and modules described above can be implemented in various ways. For example, in some embodiments, the systems and modules can be implemented by hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the methods and systems described above can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The systems and modules of this application can be implemented not only by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field-programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, or by a combination of the aforementioned hardware circuits and software (e.g., firmware).

[0182] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects may be any one or a combination of the above, or any other possible beneficial effects.

Claims

1. A method for intelligent evaluation of mine exploration results, characterized in that, include: Obtain a set of mountain structure element descriptions extracted from a set of mine geophysical exploration data, wherein the set of mountain structure element descriptions includes at least one mountain structure element description for characterizing a spatial location or functional difference. A set of important information on the underground mine structure is obtained by constructing a database of information on each undetermined mine in the mine structure database. This set of important information is obtained as follows: Important content of mine information meeting specified importance requirements is extracted from each undetermined mine information; the coexistence and differences of important content from each pair of mine information within a single undetermined mine information are statistically analyzed; continuously related important content is then merged; and the set of important information on the underground mine structure is constructed based on the processed important content of each mine information. The importance is determined based on the element popularity of the corresponding important content in the extracted undetermined mine information and its occurrence in each undetermined mine information. Based on the common relationship between the bearing structure features extracted from the description of the corresponding set of mountain structure elements and the word features extracted from each important content, each pending important content that meets the pre-set selection requirements is determined among the important content. The description of at least one mountain structure element and each pending important content are intelligently evaluated to obtain the intelligent evaluation result of mine exploration. The method further includes, after performing intelligent evaluation on the description of at least one mountain structure element and each undetermined important content to obtain the intelligent evaluation result of mine exploration, the method further includes: In the mine structure database, based on the pre-set analysis method A, and in combination with each important analysis content, the original mine information that matches no less than one important analysis content is analyzed and determined. Obtain the three-dimensional information of the constructed mine information structure, wherein the three-dimensional information of the mine information structure includes: the spatial morphology of the mountain body constructed respectively corresponding to the various mine information data blocks in each undetermined mine information, and the spatial relationship used to characterize the stable collaborative relationship and the content ownership relationship; Based on the three-dimensional information of the mine information structure, the original mine information with stable collaborative relationships is clustered to obtain target mine information sets with important matching analysis content for each type, and analysis results are generated based on each type of target mine information set.

2. The method according to claim 1, characterized in that, In the mine structure database, based on pre-defined multiple analysis methods and combined with the key analysis content, the original mine information that matches at least one key analysis content is analyzed and determined, including any one of the following operations: In the mine structure database, based on a pre-set analysis method A, and in conjunction with the key analysis content, after executing A analysis processes in sequence, the original mine information determined by the last analysis process is obtained, each matching at least one key analysis content; In the mine structure database, based on a pre-defined A type of analysis method and in combination with the important content of each analysis, A analysis processes are executed in parallel to obtain at least one matching mine information with a matching content matching degree determined in each analysis process, and at least one content matching degree matched based on each matching mine information, and each original mine information is selected from the matching mine information.

3. The method according to claim 2, characterized in that, The aforementioned analysis method A is obtained using at least one of the following methods: Obtain the custom analysis logic and determine the analysis method based on the analysis logic; Each analysis unit is obtained, and the corresponding analysis method is obtained by loading each analysis unit.

4. The method according to claim 2, characterized in that, In any analysis procedure except the last one, perform the following operations: The analysis will be based on information about each mine to be identified, as well as an analytical method. Using the aforementioned analysis method, based on the key analytical content, each matching mine information and its corresponding content matching degree are determined from the pending mine information. For each pending mine information as referenced, the cumulative value of the content matching degree up to the real-time analysis process is calculated, and a specified number of target mine information with the highest cumulative value are selected as the pending mine information for the next analysis process. The specified number is determined according to the execution order of the analysis process; The step of selecting original mine information from each matched mine information based on at least one content matching degree includes: For each matching mine information, perform the following operations: determine at least one content matching degree for a matching mine information, determine the target analysis method corresponding to each of the at least one content matching degree, and determine the matching degree fusion value corresponding to the matching mine information based on the method weights preset for each of the A analysis methods and the content matching degree under at least one target analysis method. The matching mine information that meets the pre-set requirements is used as the original mine information.

5. The method according to claim 1, characterized in that, The step of clustering the original mine information with stable collaborative relationships based on the three-dimensional information of the mine information structure includes: For each piece of raw mine information, perform the following operations: Among the key contents of the analysis, at least one sample of key contents is identified that is covered in a single original mine information. For each important sample content, perform the following operations: In the three-dimensional information of the mine information structure, determine the target mountain spatial morphology to which the important sample content belongs, and when it is determined that the target mountain spatial morphology and the sub-mountain spatial morphology belonging to the target mountain spatial morphology have spatial relationships linking to other original mine information, cluster the original mine information and the other original mine information.

6. The method according to any one of claims 1-5, characterized in that, Before obtaining a set of mountain structure element descriptions extracted from a set of mine geophysical exploration data, the following steps are included: In response to an analysis request triggered by a target object for a set of mining geophysical exploration data, the set of mining geophysical exploration data is parsed to obtain the description content of each mountain structure element and the bearing capacity information corresponding to each description content of the mountain structure element. The bearing capacity information is used to characterize the strength of the mountain structure and the various mountain states that match the strength of the mountain structure. Based on the load-bearing foundation information of each mountain structure element description, determine the mountain structure element description content corresponding to the mountain structure strength, and for each mountain structure element description content corresponding to the mountain structure strength, perform the following operations: Based on the mountain structure element description content corresponding to a mountain structure strength, and the mountain structure element description content used to describe the mountain structure strength, form a corresponding mountain structure element description content group.

7. The method according to any one of claims 1-5, characterized in that, Before obtaining a set of descriptions of mountain structure elements extracted from the mine geophysical exploration data set, the following method is used to construct a set of important information about the underground mine structure: Extract the important content of the mine information that meets the specified requirements from each of the pending mine information; Each pair of important mine information items coexisting in a single pending mine information item is grouped into a mine information important content group; For each group of important mine information content, perform the following operations: Calculate the average difference between the two corresponding important mine information contents when they appear in each pending mine information, and based on the average difference, determine if the two important mine information contents are consecutive, then merge the two important mine information contents into one important mine information content; A set of important information on the underground mine structure was constructed based on the processed information of each mine. The aforementioned construction of a set of important information on the underground mine structure based on the processed information of each mine includes: For each processed important piece of mine information, perform the following operations: In each processed important piece of mine information, count the total number of other important pieces of information that coexist with an important piece of mine information in a single pending mine information; Using the important content of each processed mine information as the current mountain spatial form, and establishing the internal structural spatial relationship of the mine among the current mountain spatial forms where the total number of other important content differs, we obtain the set of important layout information of the mountain space. In the set of important layout information of the mountain space, every three current mountain space forms that meet the fusion requirements are merged into a current mountain space form corresponding to the corresponding combination of important content; wherein, the fusion requirements are: conforming to the pre-set three-mountain space form structure, and the combination of important content obtained from the corresponding three mine information contents exists in each pending mine information; Based on the important content corresponding to each current mountain spatial form in the set of important layout information of mountain space, a set of important information on underground mine structure is constructed. The spatial morphological structure of the three mountains includes any one of the following: Two current mountain spatial forms point to the same current mountain spatial form; Two current mountain spatial forms point to the same current mountain spatial form, and there is a spatial relationship between the two current mountain spatial forms.

8. The method according to any one of claims 1-5, characterized in that, The importance of key information about a mine is determined using the following methods: Calculate the original element popularity of an important piece of mine information in the corresponding pending mine information, and the abnormal mine information popularity of the same important piece of mine information in each pending mine information. After narrowing down the original element heat values, the target element heat value is obtained. The result of the function processing of the target element heat value and the abnormal mine information heat value is used as the importance value of the important content of the mine information.

9. An intelligent evaluation system for mine exploration results, characterized in that, The method includes a processor and a memory that communicate with each other, the processor being configured to read a computer program from the memory and execute it to implement the method of any one of claims 1-8.

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