Exploration network degree quality evaluation system and evaluation method thereof

Abstract

The invention provides an exploration network quality evaluation system and an evaluation method thereof, and relates to the technical field of mine geological exploration. The evaluation method comprises the following steps: S1, defining basic data; s2, performing classification association and spatial sequence judgment; s3, performing network degree detail calculation and classified statistics; s4, constructing a standard transmission and evaluation method; and S5, outputting an exploration network degree evaluation report. According to the method, a numerical standard calculation model is adopted, a digital decision support method is provided for mineral resource exploration network degree quality evaluation, and the scientificity of exploration quality evaluation is improved.

Description

Technical Field

[0001] The present application relates to the technical field of mining geological exploration, and in particular to an exploration network quality evaluation system and an evaluation method thereof. Background Art

[0002] At present, the construction of intelligent mines is in full swing in China. Various types of systems and intelligent equipment have been gradually applied to mine production. Some mines have also realized the computerization of traditional business flows and data flows, and accumulated a large amount of data in the process. Based on mine data, building new application scenarios that meet the application needs of mines and guiding mine managers to make scientific decisions are important contents of knowledge mining and knowledge enrichment in intelligent mining technology. Therefore, it is urgent to carry out innovations in intelligent mine data application scenarios and model algorithms in terms of deep data mining and application, gradually improve new applications of mine data business, further improve the quality of intelligent mine construction, and serve the needs of mining enterprise development.

[0003] The density of exploration grid, also known as exploration spacing or exploration engineering density, is usually expressed as the distance of the engineering along the strike of the ore body and the distance along the dip. Reasonable exploration grid depends on the size of the ore body, the degree of change in shape and occurrence, the complexity of the structure and internal structure of the ore body, the uniformity of the distribution of useful components in the ore body, the accuracy requirements of the expected proven reserves and the type of engineering adopted. Therefore, there are clear grid requirements in the exploration specifications of various minerals, such as DZ / T 2014-2020. After the construction of the exploration project is completed, how to use digital means to quickly know the gap between the actual grid and the standard specifications has become an issue that needs to be studied urgently.

[0004] However, the quality evaluation of mining exploration network has not yet been effectively standardized and digitized. In view of this, it is necessary to study a method that uses a numerical standard calculation model to provide digital decision-making support for the quality evaluation of mineral resource exploration network to solve the above technical problems. Summary of the invention

[0005] In view of the technical problems existing in the background technology, the present application provides an exploration network quality evaluation system and an evaluation method thereof.

[0006] Based on the above technical objectives, the present invention provides a method for evaluating the quality of exploration grid, which comprises the following steps:

[0007] S1, basic data definition: define the elements of basic data required for exploration grid, as well as the business fields and associated fields contained in each element;

[0008] S2, classification association and spatial order judgment: clarify the business affiliation relationship of each basic data in the space in step S1 and the judgment of the distribution direction of the basic data in the space;

[0009] S3, detailed calculation and classification statistics of grid degree: calculate the spacing in the specified direction of each grid degree through spatial search, and perform classification statistics;

[0010] S4, standard transfer and evaluation method construction: the standard of step S3 is transferred through the built-in grid standard, and the evaluation method is further independently constructed to determine the score of specific data indicators;

[0011] S5, output of exploration network evaluation report: the classified statistical data of step S3 is combined with the score determined by the evaluation method of step S4, and finally an overall network evaluation report of the geological exploration quality is output.

[0012] As a further improvement of the present invention, in step S1, the elements of the basic data include exploration line elements, drilling elements, grid level grading elements and grid level standard elements;

[0013] The business fields of the exploration line element include: mineral type, exploration line number, starting coordinate X, starting coordinate Y, ending coordinate X, and ending coordinate Y;

[0014] The business fields of the drilling element include: drilling number, exploration line number, opening X, opening Y;

[0015] The business fields of the grid-level classification element include: starting exploration line number, ending exploration line number, and exploration type;

[0016] The business fields of the grid standard elements include: mineral type, survey type, survey spacing requirements, and direction;

[0017] Among them, the survey types include Type I, Type II, and Type III;

[0018] The direction includes along the strike and along the dip.

[0019] As a further improvement of the present invention, in step S2, the process of classifying and associating data includes: using a relational database to construct a computer data table, and performing data association of mineral types, exploration line numbers, and exploration types, and the association mechanism uses the association fields between the data tables;

[0020] Among them, the drilling element is associated with the exploration line element through the exploration line number; the grid classification element is associated with the exploration line element through the exploration line number; the grid classification element is associated with the grid standard element through the survey type; and the grid standard element is associated with the exploration line element through the mineral type.

[0021] As a further improvement of the present invention, in step S2, the process of determining the spatial order includes: based on the exploration line element data, using the plane geometry method to solve the azimuth of each exploration line, using the formula αAB=arctan(Δy / Δx) and determining the quadrant in which the azimuth is located;

[0022] At the same time, the distribution law of the azimuth of the exploration line is statistically analyzed, and the distribution median of the azimuth of 80% of the exploration lines is used as the azimuth of the exploration line, and further as the dip azimuth;

[0023] Then calculate the strike azimuth according to the strike definition formula β = αAB ± 90°;

[0024] In addition, based on the strike azimuth, an auxiliary straight line intersecting the exploration line is drawn, and the coordinates X and Y of the intersection of the auxiliary straight line and the exploration line are calculated. The size order of the intersection X / Y is compared to obtain the adjacent relationship of the exploration line in the plane.

[0025] As a further improvement of the present invention, in step S3, the process of calculating the grid detail includes: calculating the strike spacing based on the boreholes on adjacent exploration lines and calculating the dip spacing based on the boreholes on the same exploration line;

[0026] The strike spacing calculated based on the boreholes on the adjacent exploration lines is based on the opening X and opening Y of a certain borehole as the base point, and the opening X and opening Y of a borehole on the adjacent exploration line are selected as the end points in sequence to calculate the straight-line distance between the two points. At the same time, it is determined that the minimum value of the adjacent spacing is the strike spacing between the borehole and the adjacent exploration line;

[0027] The dip spacing calculated based on the boreholes on the same exploration line is based on the opening X and opening Y of a certain borehole as the base point, and the opening X and opening Y of the boreholes on the same exploration line are selected as the end points in sequence to calculate the straight-line distance between the two points. The minimum distance between the same exploration line and the drill hole is the dip distance.

[0028] As a further improvement of the present invention, in step S3, the classification and statistics process includes: based on the grid standard data, classifying and counting the strike spacing and dip spacing, and respectively counting the number of strike spacing and dip spacing under different survey types.

[0029] As a further improvement of the present invention, the evaluation method process in step S4 is: based on the grid standard data, the percentage of the trend and dip process spacing data that meets the survey spacing requirements is counted;

[0030] Among them, when more than 80% of the process spacing data meet the survey spacing requirements, the survey quality evaluation level is excellent;

[0031] When the process spacing data is more than 60% and less than 80% meeting the survey spacing requirements, the survey quality evaluation level is good;

[0032] When less than 60% of the process spacing data meets the survey spacing requirements, the survey quality evaluation level is poor.

[0033] As a further improvement of the present invention, in step S5, the grid evaluation report includes: a report containing grid requirements, drilling data, exploration line data, plane drawings, strike grid distribution histograms, dip grid distribution histograms and exploration quality evaluation levels.

[0034] Based on the above exploration network quality evaluation method, the present invention also provides an exploration network quality evaluation system, which includes: a basic data module connected in sequence, a classification association and spatial order judgment module, a network detail calculation and classification statistics module and an exploration network quality evaluation module;

[0035] It also includes: grid standard module, evaluation method module;

[0036] The output end of the grid standard module is connected to the input end of the grid detail calculation and classification statistics module and the evaluation method module respectively;

[0037] The input end and the output end of the evaluation method module are respectively connected to the output end of the exploration grid quality evaluation module and the input end of the grid standard module.

[0038] As a further improvement of the present invention, the classification association and spatial order judgment module includes a classification association submodule and a spatial order judgment submodule; the network detail calculation and classification statistics module includes a network detail calculation submodule and a classification statistics submodule.

[0039] Beneficial effects of the present invention:

[0040] 1. The exploration network quality evaluation method provided by the present invention has a simple basic data structure and is easy to obtain from the content of the geological report; and the calculation process is simple and easy to implement.

[0041] 2. The exploration network quality evaluation method provided by the present invention adopts a standardized and numerical method for judging the exploration network quality, which can provide a scientific reference basis for project owners; it adopts a numerical standard calculation model to provide a digital decision-making support method for the mineral resource exploration network quality evaluation, thereby improving the scientific nature of the exploration quality evaluation.

[0042] 3. The exploration grid quality evaluation method provided by the present invention is an example demonstration of the application of secondary data mining, which can provide a reference direction for deep mining of mine data and enrichment of knowledge.

[0043] 4. The exploration network quality evaluation system provided by the present invention has a streamlined module architecture, high system integration, and adopts a numerical standard calculation model, which is an effective verification of intelligent mine applications.

[0044] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings used in the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 It is a flow chart of the exploration grid quality evaluation method provided by an embodiment of the present invention;

[0047] Figure 2 It is a schematic diagram of the actual application of the exploration grid quality evaluation method provided by an embodiment of the present invention;

[0048] Figure 3 It is a structural diagram of an exploration grid quality evaluation system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0051] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0052] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0053] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0054] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0055] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present application.

[0056] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integrated connection; it can also be a mechanical connection, an electrical connection, or a data connection; it can be a direct connection, or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0057] See also Figure 1As shown, the present invention provides a method for evaluating the quality of exploration grid, including the definition of the elements, types and structures of basic data, including the elements of various types of required basic data, and the business fields and associated fields contained in each element; the classification association and spatial order judgment of data, clarifying the business affiliation relationship of each data in space and the distribution orientation of data in space; then calculating the spacing in the specified direction of each grid through spatial search, and classifying and counting according to rules; further determining the score of specific indicators through built-in evaluation methods, and outputting the overall evaluation report of exploration grid quality evaluation based on the above calculation process. That is, the use of a numerical standard calculation model provides a digital decision support method for the quality evaluation of mineral resource exploration grid, which improves the scientific nature of exploration quality evaluation.

[0058] Example 1

[0059] See also Figure 1 to Figure 2 As shown, the exploration grid quality evaluation method provided by Example 1 of the present invention specifically includes the following steps:

[0060] S1, basic data definition: define the elements of basic data required for exploration grid, as well as the business fields and associated fields contained in each element;

[0061] Specifically, in step S1, the elements of the basic data include exploration line elements, drilling elements, grid level grading elements and grid level standard elements;

[0062] The business fields of the exploration line element include: mineral type, exploration line number, starting coordinate X, starting coordinate Y, ending coordinate X, and ending coordinate Y;

[0063] The business fields of the drilling element include: drilling number, exploration line number, opening X, opening Y;

[0064] The business fields of the grid-level classification element include: starting exploration line number, ending exploration line number, and exploration type;

[0065] The business fields of the grid standard elements include: mineral type, survey type, survey spacing requirements, and direction;

[0066] Among them, the survey types include Type I, Type II, and Type III;

[0067] The direction includes along the strike and along the dip.

[0068] S2, classification association and spatial order judgment: clarify the business affiliation relationship of each basic data in the space in step S1 and the judgment of the distribution direction of the basic data in the space;

[0069] Specifically, in step S2, the process of classifying and associating data includes: using a relational database to construct a computer data table, and associating the data of mineral types, exploration line numbers, and exploration types, and the association mechanism uses the association fields between the data tables;

[0070] Among them, the drilling element is associated with the exploration line element through the exploration line number; the grid classification element is associated with the exploration line element through the exploration line number; the grid classification element is associated with the grid standard element through the survey type; and the grid standard element is associated with the exploration line element through the mineral type.

[0071] In step S2, the process of determining the spatial order includes: based on the exploration line element data, using the plane geometry method to solve the azimuth of each exploration line, using the formula αAB=arctan(Δy / Δx) and determining the quadrant where the azimuth is located;

[0072] At the same time, the distribution law of the azimuth of the exploration line is statistically analyzed, and the distribution median of the azimuth of 80% of the exploration lines is used as the azimuth of the exploration line, and further as the dip azimuth;

[0073] Then calculate the strike azimuth according to the strike definition formula β = αAB ± 90°;

[0074] In addition, based on the strike azimuth, an auxiliary straight line intersecting the exploration line is drawn, and the coordinates X and Y of the intersection of the auxiliary straight line and the exploration line are calculated. The size order of the intersection X / Y is compared to obtain the adjacent relationship of the exploration line in the plane.

[0075] S3, detailed calculation and classification statistics of grid degree: calculate the spacing in the specified direction of each grid degree through spatial search, and perform classification statistics;

[0076] Specifically, in step S3, the process of calculating the grid detail includes: calculating the strike spacing based on the boreholes on adjacent exploration lines and calculating the dip spacing based on the boreholes on the same exploration line;

[0077] The strike spacing calculated based on the boreholes on the adjacent exploration lines is based on the opening X and opening Y of a certain borehole as the base point, and the opening X and opening Y of a borehole on the adjacent exploration line are selected as the end points in sequence to calculate the straight-line distance between the two points. At the same time, it is determined that the minimum value of the adjacent spacing is the strike spacing between the borehole and the adjacent exploration line;

[0078] The dip spacing calculated based on the boreholes on the same exploration line is based on the opening X and opening Y of a certain borehole as the base point, and the opening X and opening Y of the boreholes on the same exploration line are selected as the end points in sequence to calculate the straight-line distance between the two points. The minimum distance between the exploration line and the borehole is the dip distance.

[0079] In step S3, the classification and statistics process includes: based on the grid standard data, classifying and counting the strike spacing and dip spacing, and respectively counting the number of strike spacing and dip spacing under different survey types.

[0080] S4, standard transfer and evaluation method construction: the standard of step S3 is transferred through the built-in grid standard, and the evaluation method is further independently constructed to determine the score of specific data indicators;

[0081] Specifically, the evaluation method process in step S4 is: based on the grid standard data, the percentage of the trend and dip process spacing data that meets the survey spacing requirements is counted;

[0082] Among them, when more than 80% of the process spacing data meet the survey spacing requirements, the survey quality evaluation level is excellent;

[0083] When the process spacing data is more than 60% and less than 80% meeting the survey spacing requirements, the survey quality evaluation level is good;

[0084] When less than 60% of the process spacing data meets the survey spacing requirements, the survey quality evaluation level is poor.

[0085] S5, output of exploration network evaluation report: the classified statistical data of step S3 is combined with the score determined by the evaluation method of step S4, and finally an overall network evaluation report of the geological exploration quality is output.

[0086] Specifically, in step S5, the grid evaluation report includes: a report containing grid requirements, drilling data, exploration line data, plane drawings, strike grid distribution histograms, dip grid distribution histograms and exploration quality evaluation levels.

[0087] Example 2

[0088] See also Figure 3 As shown, based on the above exploration grid quality evaluation method, embodiment 2 of the present invention further provides an exploration grid quality evaluation system, which includes: a basic data module connected in sequence, a classification association and spatial order judgment module, a grid detail calculation and classification statistics module and an exploration grid quality evaluation module;

[0089] It also includes: grid standard module, evaluation method module;

[0090] The output end of the grid standard module is connected to the input end of the grid detail calculation and classification statistics module and the evaluation method module respectively;

[0091] The input end and the output end of the evaluation method module are respectively connected to the output end of the exploration grid quality evaluation module and the input end of the grid standard module.

[0092] The basic data module is used to define the elements of basic data required for exploration grid, as well as the business fields and associated fields contained in each element.

[0093] The classification association and spatial order judgment module is used to clarify the business affiliation relationship of each basic data in space and the judgment of the distribution direction of the basic data in space. It mainly includes: interconnected classification association submodules and spatial order judgment submodules.

[0094] The classification association submodule uses a relational database to construct a computer data table, and performs data association of mineral types, exploration line numbers, and exploration types. The association mechanism uses the association fields between the data tables. The spatial order judgment submodule uses plane geometry methods based on the exploration line element data to solve the azimuth of each exploration line, and draws auxiliary straight lines that intersect with the exploration lines, and finally calculates the adjacent relationship of the exploration lines in the plane.

[0095] The mesh detail calculation and classification statistics module calculates the spacing in the specified direction of each mesh through spatial search and performs classification statistics. It mainly includes interconnected mesh detail calculation submodules and classification statistics submodules.

[0096] The grid detail calculation submodule calculates the strike spacing based on the boreholes on adjacent exploration lines and the dip spacing based on the boreholes on the same exploration line. The classification statistics submodule classifies and counts the strike spacing and dip spacing based on the grid standard data, and respectively counts the strike spacing and dip spacing under different exploration types.

[0097] The exploration grid quality evaluation module is used to conduct a comprehensive analysis of the classified statistical data output by the classification statistics submodule and the scores determined by the evaluation method module, and finally output an overall grid evaluation report on the geological exploration quality.

[0098] The mesh standard module is used to formulate mesh standard data.

[0099] The evaluation method module: based on the grid standard data provided by the grid standard module, the percentage of the strike and dip process spacing data that meets the survey spacing requirements is counted.

[0100] In summary, the present invention provides an exploration grid quality evaluation system and an evaluation method thereof, which relate to the field of mine exploration technology. The evaluation method comprises the following steps: S1, basic data definition: defining the elements of the basic data required for the exploration grid, as well as the business fields and associated fields contained in each element; S2, classification association and spatial order judgment: clarifying the business affiliation relationship of each basic data in space in step S1 and the judgment of the distribution orientation of the basic data in space; S3, grid detail calculation and classification statistics: calculating the spacing in the specified direction of each grid through spatial search, and performing classification statistics; S4, standard transfer and evaluation method construction: performing standard transfer on step S3 through the built-in grid standard, and further independently constructing an evaluation method to determine the score of specific data indicators; S5, exploration grid evaluation report output: combining the classified statistical data of step S3 with the score determined by the evaluation method of step S4, and finally outputting the overall grid evaluation report of geological exploration quality. The present invention adopts a numerical standard calculation model to provide a digital decision support method for the evaluation of mineral resource exploration grid quality, thereby improving the scientific nature of exploration quality evaluation.

[0101] It should be noted that the present application is not limited to the above-mentioned embodiments. The above-mentioned embodiments are only examples, and the embodiments having the same structure as the technical idea and exerting the same effect within the scope of the technical solution of the present application are all included in the technical scope of the present application. In addition, without departing from the scope of the main purpose of the present application, various modifications that can be thought of by those skilled in the art to the embodiments and other methods of combining some of the constituent elements in the embodiments are also included in the scope of the present application.

Claims

1. A method for evaluating exploration grid quality, characterized in that: The steps include: S1, basic data definition: define the elements of basic data required for exploration grid, as well as the business fields and associated fields contained in each element; S2, classification association and spatial order judgment: clarify the business affiliation relationship of each basic data in the space in step S1 and the judgment of the distribution direction of the basic data in the space; S3, detailed calculation and classification statistics of grid degree: calculate the spacing in the specified direction of each grid degree through spatial search, and perform classification statistics; S4, standard transfer and evaluation method construction: the standard transfer of step S3 is carried out through the built-in grid standard, and the evaluation method is further independently constructed to determine the score of specific data indicators; S5, output of exploration network evaluation report: the classified statistical data of step S3 is combined with the score determined by the evaluation method of step S4, and finally an overall network evaluation report of geological exploration quality is output.

2. A method for evaluating exploration grid quality according to claim 1, characterized in that: In step S1, the elements of the basic data include exploration line elements, drilling elements, grid level grading elements and grid level standard elements; The business fields of the exploration line element include: mineral type, exploration line number, starting coordinate X, starting coordinate Y, ending coordinate X, and ending coordinate Y; The business fields of the drilling element include: drilling number, exploration line number, opening X, opening Y; The business fields of the grid-level classification element include: starting exploration line number, ending exploration line number, and exploration type; The business fields of the grid standard elements include: mineral type, survey type, survey spacing requirements, and direction; Among them, the survey types include Type I, Type II, and Type III; The direction includes along the strike and along the dip.

3. A method for evaluating exploration grid quality according to claim 2, characterized in that: In step S2, the process of classifying and associating data includes: using a relational database to construct a computer data table, and associating the data of mineral types, exploration line numbers, and exploration types, and the association mechanism uses the association fields between the data tables; Among them, the drilling element is associated with the exploration line element through the associated field exploration line number; the grid classification element is associated with the exploration line element through the associated field exploration line number; the grid classification element is associated with the grid standard element through the associated field exploration type; the grid standard element is associated with the exploration line element through the associated field mineral type.

4. A method for evaluating exploration grid quality according to claim 3, characterized in that: In step S2, the process of determining the spatial order includes: based on the exploration line element data, using the plane geometry method to solve the azimuth of each exploration line, using the formula αAB=arctan(Δy / Δx) and determining the quadrant where the azimuth is located; At the same time, the distribution law of the azimuth of the exploration line is statistically analyzed, and the distribution median of the azimuth of 80% of the exploration lines is used as the azimuth of the exploration line, and further as the dip azimuth; Then calculate the strike azimuth according to the strike definition formula β = αAB ± 90°; In addition, based on the strike azimuth, an auxiliary straight line intersecting the exploration line is drawn, and the coordinates X and Y of the intersection of the auxiliary straight line and the exploration line are calculated. The size order of the intersection X / Y is compared to obtain the adjacent relationship of the exploration line in the plane.

5. A method for evaluating exploration grid quality according to claim 4, characterized in that: In step S3, the process of calculating the grid detail includes: calculating the strike spacing based on the boreholes on adjacent exploration lines and calculating the dip spacing based on the boreholes on the same exploration line; The strike spacing calculated based on the boreholes on the adjacent exploration lines is based on the opening X and opening Y of a certain borehole as the base point, and the opening X and opening Y of a borehole on the adjacent exploration line are selected as the end points in sequence to calculate the straight-line distance between the two points. At the same time, it is determined that the minimum value of the adjacent spacing is the strike spacing between the borehole and the adjacent exploration line; The dip spacing calculated based on the boreholes on the same exploration line is based on the opening X and opening Y of a certain borehole as the base point, and the opening X and opening Y of the boreholes on the same exploration line are selected as the end points in sequence to calculate the straight-line distance between the two points. The minimum distance between the exploration line and the borehole is the dip distance.

6. A method for evaluating exploration grid quality according to claim 5, characterized in that: In step S3, the classification and statistics process includes: based on the grid standard element data, classifying and counting the strike spacing and dip spacing, and respectively counting the number of strike spacing and dip spacing under different survey types.

7. The method for evaluating exploration grid quality according to claim 1, characterized in that: The evaluation method process of step S4 is: based on the grid standard element data, statistical trend and dip process spacing data, and the percentage that meets the survey spacing requirements; Among them, when more than 80% of the process spacing data meet the survey spacing requirements, the survey quality evaluation level will be excellent; When the process spacing data is more than 60% and less than 80% meeting the survey spacing requirements, the survey quality evaluation level is good; When less than 60% of the process spacing data meets the survey spacing requirements, the survey quality evaluation level is poor.

8. The method for evaluating exploration grid quality according to claim 1, characterized in that: In step S5, the grid density evaluation report includes: a report containing grid density requirements, drilling data, exploration line data, plane drawings, strike grid density distribution histograms, dip grid density distribution histograms and exploration quality evaluation levels.

9. A survey network quality evaluation system, characterized in that: Evaluation is performed based on an exploration grid quality evaluation method according to any one of claims 1 to 8, wherein the exploration grid quality evaluation system comprises: a basic data module connected in sequence, a classification association and spatial order judgment module, a grid detail calculation and classification statistics module, and an exploration grid quality evaluation module; It also includes: grid standard module, evaluation method module; The output end of the grid standard module is connected to the input end of the grid detail calculation and classification statistics module and the evaluation method module respectively; The input end and the output end of the evaluation method module are respectively connected to the output end of the exploration grid quality evaluation module and the input end of the grid standard module.

10. The exploration grid quality evaluation system according to claim 9, characterized in that: The classification association and spatial order judgment module includes a classification association submodule and a spatial order judgment submodule; the network detail calculation and classification statistics module includes a network detail calculation submodule and a classification statistics submodule.

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