CN-121745085-B - Intelligent evaluation method and system for mine detection result

Abstract

According to the mine detection result intelligent evaluation method and system provided by the application, when the mine detection result intelligent evaluation is carried out according to an analysis requirement determined from a mine geophysical prospecting data set, a group of mountain structure element description contents extracted from the mine geophysical prospecting data set and used for representing the analysis requirement are firstly obtained, and then a mine underground mine structure important information set constructed by each piece of undetermined mine information in a corresponding mine structure database is obtained; the method and the system have the advantages that the important content of the mine information with continuous content is fused, so that the unusual mountain structure condition can be integrated, the influence caused by inaccurate exploration of the mine structure can be overcome, and the accuracy and the referenceof the determined important content can be improved.

Inventors

• LIU WEIJUN
• HU ZHENGTAO
• LI ZHI
• ZHANG HONGCHAO
• HUANG XIAOGUANG
• HE CHENGLIN
• SUN CHONGBO
• FU YUXUAN
• WANG KE
• YANG HONGWEI
• LI LAN
• XIAO KUNHONG
• LIU BING
• Luo Rongtudeng
• YANG FAN
• ZHENG JIAYONG
• SUN QIWU

Assignees

• 四川省金属地质调查研究所

Dates

Publication Date

20260508

Application Date

20260227

Claims (9)

1. 1. The intelligent evaluation method for the mine detection result is characterized by comprising the following steps of: Obtaining a group of mountain structural element descriptive contents extracted based on a mine geophysical prospecting data set, wherein the group of mountain structural element descriptive contents comprise at least one mountain structural element descriptive content for representing a spatial position or a functional difference; The method comprises the steps of obtaining mine underground mine structure important information sets constructed by each piece of undetermined mine information in a corresponding mine structure database, wherein the mine underground mine structure important information sets are obtained by respectively extracting mine information important contents with importance meeting specified requirements from each piece of undetermined mine information, fusing mine information important contents with continuous contents by counting coexistence and difference conditions of every two pieces of mine information important contents in single undetermined mine information, and constructing the mine underground mine structure important information sets based on each piece of processed mine information important contents, wherein the importance is determined according to element heat of the corresponding mine information important contents in the extracted undetermined mine information and the occurrence condition of each piece of undetermined mine information; according to the bearing structural characteristics extracted from the descriptive content of the corresponding mountain structural elements, the commonality relation between the bearing structural characteristics and the word characteristics extracted from the corresponding important content is respectively determined, and each undetermined important content meeting the preset selection requirement is determined in each important content; Performing intelligent evaluation on the descriptive contents of at least one mountain structural element and the important contents to be determined to obtain a mine detection intelligent evaluation result; the method comprises the steps of carrying out intelligent evaluation on the descriptive contents of at least one mountain structural element and the important contents to be determined, and obtaining a mine detection intelligent evaluation result, wherein the method further comprises the following steps: In the mine structure database, according to a preset A analysis mode, analyzing and determining each piece of original mine information which is respectively matched with at least one analysis important content by combining each analysis important content; the three-dimensional information of the constructed mine information structure is obtained, wherein the three-dimensional information of the mine information structure comprises mountain space forms which are respectively constructed corresponding to various mine information data blocks in the undetermined mine information and space relations used for representing content stability cooperative relations and content attribution relations; Clustering the original mine information with stable cooperative relationship according to the three-dimensional information of the mine information structure to obtain target mine information sets of various important content of matching analysis, and respectively generating analysis results based on the various target mine information sets.
2. 2. The method according to claim 1, wherein in the mine structure database, according to a plurality of analysis modes set in advance, each piece of original mine information respectively matching not less than one piece of analysis important content is determined by analysis in combination with each piece of analysis important content, comprising any one of the following operations: In the mine structure database, according to a preset analysis mode A, combining the analysis important contents, and after carrying out A analysis processes in series, obtaining original mine information which is determined by the last analysis process and is respectively matched with at least one analysis important content; And in the mine structure database, combining the analysis important contents according to preset A analysis modes, executing A analysis processes in parallel to obtain at least one piece of matching mine information of the matching content matching degree determined in each analysis process, and selecting each piece of original mine information from each piece of matching mine information based on at least one piece of content matching degree of each piece of matching mine information.
3. 3. The method of claim 2, wherein the a analysis modes are obtained by at least one of: acquiring self-defined analysis logics, and determining analysis modes according to the analysis logics; and obtaining each analysis unit, and obtaining each corresponding analysis mode by loading each analysis unit.
4. 4. The method according to claim 2, characterized in that during any one of the analysis processes except the last one, the following operations are performed: Determining the information of each mine to be determined according to the analysis and an analysis mode according to the analysis; Determining each piece of matching mine information and the corresponding content matching degree in each piece of pending mine information according to each piece of analysis important content by adopting the analysis mode; Calculating the accumulated value of the content matching degree ending to the real-time analysis process according to each piece of the mine information to be determined according to the basis of the next analysis process, and selecting the appointed number of target mine information with the highest accumulated value to be used as each piece of the mine information to be determined according to the execution sequence of the analysis process; wherein, based on the matching degree of at least one content of each matching mine information, each original mine information is selected from the matching mine information, comprising: Determining at least one content matching degree matched with one matching mine information, determining target analysis modes corresponding to the at least one content matching degree, and determining a matching degree fusion value corresponding to the one matching mine information according to mode weights preset for the A analysis modes respectively and combining the content matching degree under at least one target analysis mode; and taking the corresponding matching mine information with the matching degree fusion value reaching the preset requirement as the original mine information.
5. 5. The method according to claim 1, wherein clustering the original mine information with stable cooperative relationship according to the three-dimensional information of the mine information structure comprises: for each raw mine information, the following operations are performed: Determining not less than one sample of important content contained in one piece of original mine information in each of the analysis important contents; For each sample important content, the following operation is carried out, namely, in the three-dimensional information of the mine information structure, a target mountain space morphology to which one sample important content belongs is determined, and in the determination of the target mountain space morphology and a sub-mountain space morphology belonging to the target mountain space morphology, when a spatial relation linked to other original mine information exists, the one original mine information and the other original mine information are clustered.
6. 6. The method according to any one of claims 1 to 5, wherein before obtaining the description of the set of mountain structural elements extracted based on the set of geophysical prospecting data for the mine, the method comprises: Analyzing a mine geophysical prospecting data set in response to an analysis request triggered by a target object for the mine geophysical prospecting data set to obtain description contents of each mountain structural element and bearing basic information corresponding to the description contents of each mountain structural element, wherein the bearing basic information is used for representing the mountain structural strength and various mountain states matched with the mountain structural strength; and determining mountain structural element description contents corresponding to the mountain structural strength according to the bearing basic information of the mountain structural element description contents, and aiming at each mountain structural element description content corresponding to the mountain structural strength, performing the following operation of constructing a corresponding mountain structural element description content group based on the mountain structural element description contents corresponding to one mountain structural strength and the mountain structural element description contents for describing the one mountain structural strength.
7. 7. The method according to any one of claims 1 to 5, wherein before obtaining the description of the mountain structural elements extracted based on the mine geophysical prospecting data set, the mine underground mine structural important information set is constructed by the following method: extracting important mine information content with importance meeting specified requirements from the undetermined mine information respectively; Dividing important content of every two mine information coexisting in single undetermined mine information into a mine information important content group; For each divided mine information important content group, performing the following operations of counting two corresponding mine information important contents, determining average differences when the two mine information important contents appear in each piece of undetermined mine information, and merging the two mine information important contents into one mine information important content when the two mine information important contents are determined to be continuous based on the average differences; constructing a mine underground mine structure important information set based on the processed important information content of each mine; the method for constructing the mine underground mine structure important information set based on the processed important information content of each mine comprises the following steps: for each processed mine information important content, performing the following operation of counting the total number of the rest important content which is shared with one mine information important content in single undetermined mine information in the mine information important content after each processing; taking the important content of each processed mine information as each current mountain space form, and establishing a mine internal structural space relation between the current mountain space forms with differences in the total number of the matched other important content to obtain a constructed mountain space important layout information set; In the mountain space important layout information set, fusing every three current mountain space forms meeting the fusion requirement into a current mountain space form corresponding to corresponding combined important content, wherein the fusion requirement is that the three mountain space form structures are met, and the combined important content obtained from the corresponding three mine information important content exists in each undetermined mine information; Constructing a mine underground mine structure important information set based on the important content corresponding to each current mountain space form in the mountain space important layout information set; wherein, the three mountain space morphology structure includes any one of the following: The two current mountain spatial morphologies point to one and the same current mountain spatial morphology; the two current mountain spatial morphologies point to one and the same current mountain spatial morphology, and a spatial relationship exists between the two current mountain spatial morphologies.
8. 8. The method according to any one of claims 1-5, characterized in that the importance of the important content of a mine information is determined by: Calculating the original element heat of important content of one mine information in the corresponding undetermined mine information and the abnormal mine information heat of the important content of the one mine information in each undetermined mine information; And obtaining target element heat after limiting the original element heat by taking the value, and taking the function processing result of the target element heat and the abnormal mine information heat as the value of the importance of the important content of the mine information.
9. 9. A mine detection result intelligent evaluation system, characterized by comprising a processor and a memory in communication with each other, the processor being adapted to read a computer program from the memory and execute it to implement the method of any one of claims 1-8.

Description

Intelligent evaluation method and system for mine detection result Technical Field The application relates to the technical field of detection result evaluation, in particular to an intelligent evaluation method and system for a mine detection result. Background The mine detection is a core front link of mineral resource development, mine safety production and geological disaster prevention and control, and the accurate evaluation of detection results directly determines the scientificity and rationality of mine exploitation planning, geological risk research and judgment and engineering scheme design. The current mine exploration mainly relies on geophysical exploration technology to acquire geophysical exploration data, and then core information such as mountain structures, mineral distribution, geological structures and the like is read and evaluated by combining a traditional analysis method manually, but the prior art system still has a plurality of problems to be solved in practical application. On the one hand, the mine geological structure has the characteristics of complexity, concealment and space heterogeneity, analysis of mine geophysical prospecting data in the prior art focuses on extraction of conventional mountain structural elements, the implicit unusual and special mountain structural conditions in the excavation data are difficult to integrate, in addition, information deviation is easy to occur due to data errors and exploration means limitation in the mine structure exploration process, the problems of insufficient integrity and low accuracy of mountain structural element information on which evaluation is based are caused, and the actual geological structural characteristics of a mine cannot be comprehensively represented. On the other hand, the existing mine detection result evaluation system lacks a standardized mine information important content extraction and fusion mechanism, and has low utilization efficiency on the historical undetermined mine information in the mine structure database. The traditional method only extracts mine information in a single dimension simply, does not consider the coexistence relation, difference characteristics and content continuity among important contents of different mine information, and is difficult to form a mine structure important information set with high reference value, so that the reliable comparison analysis basis in the evaluation process is insufficient, the detection data and the historical mine information cannot be effectively associated, and the reliability of the evaluation result is further affected. Meanwhile, in the subsequent analysis link of the detection result, the analysis mode of the prior art is single, a multidimensional and customizable analysis system is lacked, a three-dimensional space association model of mine information is not established, and stable cooperative relationship and content attribution relationship between mine information cannot be accurately represented. Whether in a serial or parallel analysis process, accurate matching and efficient clustering of mine information are difficult to realize, so that analysis results cannot effectively support mine production decisions, and the requirements of modern mines on accuracy, intellectualization and comprehensiveness of detection result evaluation are difficult to meet. In addition, the information interaction and the function expansion of the existing mine detection evaluation system are poor, the data and the functional units of each link are mutually independent, efficient fusion and dynamic update of mine geophysical prospecting data, historical mine information and analysis algorithm units cannot be realized, and a standardized interaction flow is lacked, so that the efficiency of an evaluation process is low, the analysis requirements of actual mine exploration are difficult to quickly respond, and the large-scale application of the mine detection result intelligent evaluation technology in actual engineering is limited. In summary, there is a need for an intelligent evaluation method and system for mine detection results, which can compensate for mine structure exploration deviation, efficiently integrate mine information, and realize multidimensional intelligent analysis, and improve accuracy, comprehensiveness and intelligence level of mine detection result evaluation by means of standardized important information extraction fusion, multi-feature commonality matching, three-dimensional space correlation analysis and the like, so as to provide reliable technical support for mine resource development and safety production. Disclosure of Invention In order to improve the technical problems in the related art, the application provides an intelligent evaluation method and system for a mine detection result. In a first aspect, a method for intelligently evaluating a mine detection result is provided, the method comprising: Obtaining a group of mountain s