Mineral resource one-code management method and system

Abstract

The application discloses a mineral resource one-code management method and system, which comprises the following steps: obtaining a business review code, the business review code has a corresponding relationship with a first three-dimensional model, and the first three-dimensional model is obtained by processing scanning data of a mineral area or mine to be reviewed; obtaining the first three-dimensional model based on the business review code; and determining a target three-dimensional model based on target parameter information and the first three-dimensional model, so that a user can use the target three-dimensional model to review and manage mineral resources of the mineral area or mine to be reviewed, and the target three-dimensional model is used for displaying mineral-related information of the mineral area or mine to be reviewed. The corresponding relationship between different business review codes and different first three-dimensional models is established in advance, so that the first three-dimensional model can be directly obtained through the business review code, fine three-dimensional modeling is not needed at the local end, the first three-dimensional model only needs to be processed in combination with the target parameter information concerned by the user at the local end, and therefore, fine three-dimensional modeling at the local end is avoided, and the computing power requirement of the local end is greatly reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mineral resource review, and in particular to a mineral resource one-code management method and system. BACKGROUND

[0002] When reviewing the resources of a mining area, a three-dimensional model can be displayed on a terminal used by a reviewer, so that the reviewer can more intuitively review the resources of the mining area.

[0003] However, in the process of fine three-dimensional modeling, a very high computing power is usually required, and the computing power of the terminal used by the reviewer (such as a general computer, or even a tablet computer or a mobile phone) may not be able to meet the computing power required for fine three-dimensional modeling. SUMMARY

[0004] To solve the above technical problems, the present application provides a mineral resource one-code management method and system.

[0005] In a first aspect, the present application provides a mineral resource one-code management method, comprising:

[0006] In response to a review operation of a user, a business review code matched with a mining area or a mine to be reviewed is obtained, wherein the business review code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or the mine to be reviewed, and the scanning data includes image data obtained by scanning;

[0007] The first three-dimensional model is obtained based at least on the business review code;

[0008] Target parameter information corresponding to user attention information indicated by the review operation is obtained;

[0009] A target three-dimensional model is determined based at least on the target parameter information and the first three-dimensional model, so that the user uses the target three-dimensional model to review and manage the mineral resources of the mining area or the mine to be reviewed, wherein the target three-dimensional model is used to display related information of the mineral resources of the mining area or the mine to be reviewed, and the related information includes at least one of the following: mineral location, mineral reserves, and mineral form.

[0010] Optionally, the target three-dimensional model is determined based at least on the target parameter information and the first three-dimensional model, comprising:

[0011] A second three-dimensional model is determined, wherein the second three-dimensional model includes a third three-dimensional model and / or a fourth three-dimensional model;

[0012] The first three-dimensional model and the second three-dimensional model are fused to obtain the target three-dimensional model.

[0013] wherein,

[0014] In a case where the second three-dimensional model comprises the third three-dimensional model, the user attention information comprises first user attention information, and the determining the second three-dimensional model comprises: acquiring first target image data corresponding to the first user attention information in the image data, adjusting the first target image data based on the target parameter information to obtain second target image data, and performing three-dimensional modeling based on the second target image data to obtain the third three-dimensional model.

[0015] In a case where the second three-dimensional model comprises the fourth three-dimensional model, the determining the second three-dimensional model comprises: modifying the first three-dimensional model according to the target parameter information to obtain the fourth three-dimensional model.

[0016] Optionally, the user attention information comprises second user attention information, the second user attention information is adapted to indicate a key mineral reserve region in the mining area or mine to be reviewed, the mining area or mine to be reviewed comprises a plurality of sampling positions, the image data comprises a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position.

[0017] The fusing the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model comprises:

[0018] acquiring the plurality of sampling positions and a plurality of scanning directions of each sampling position;

[0019] determining at least one key sampling position from the plurality of sampling positions according to the key mineral reserve region;

[0020] For each key sampling position, determining a target scanning direction from a plurality of scanning directions of the key sampling position based on a relative positional relationship between the key mineral reserve region and the key sampling position, and regarding each scanning direction of the plurality of scanning directions of the key sampling position except the target scanning direction as a remaining scanning direction of the key sampling position;

[0021] fusing the first three-dimensional model and the second three-dimensional model based on the target scanning direction and the remaining scanning direction to obtain the target three-dimensional model.

[0022] Optionally, the first three-dimensional model comprises first voxel data, the second three-dimensional model comprises second voxel data, and the fusing the first three-dimensional model and the second three-dimensional model based on the target scanning direction and the remaining scanning direction to obtain the target three-dimensional model comprises:

[0023] In the second voxel data, third voxel data corresponding to each of the target scan orientations is determined, and fourth voxel data corresponding to each of the remaining scan orientations is determined;

[0024] For each of the target scan orientations, the corresponding third voxel data is divided into a plurality of first voxel subsets arranged along the target scan orientation according to a preset first granularity, and part of the plurality of first voxel subsets is removed according to a preset screening rule, to form a plurality of first voxel target subsets of the target scan orientation;

[0025] For each of the remaining scan orientations, the corresponding fourth voxel data is divided into a plurality of second voxel subsets arranged along the remaining scan orientation according to a preset second granularity, and part of the plurality of second voxel subsets is removed according to the preset screening rule, to form a plurality of second voxel target subsets of the remaining scan orientation, wherein the first granularity is finer than the second granularity;

[0026] All the first voxel target subsets and all the second voxel target subsets are added to the first voxel data of the first three-dimensional model to obtain the target three-dimensional model.

[0027] Optionally, the user attention information includes second user attention information, and the obtaining of the first three-dimensional model based on at least the business review code comprises:

[0028] sending a model obtaining message to a modeling computing device, wherein the model obtaining message carries the business review code and the second user attention information, and the model obtaining message is used to instruct the modeling computing device to perform lightweight processing on an initial three-dimensional model matching the business review code according to the second user attention information to obtain the first three-dimensional model, the initial three-dimensional model being constructed by the modeling computing device by performing three-dimensional modeling on the scan data in advance;

[0029] receiving a model response message returned by the modeling computing device for the model obtaining message, wherein the model response message carries the first three-dimensional model or address information of the first three-dimensional model, and the address information is used to obtain the first three-dimensional model.

[0030] Optionally, the initial three-dimensional model includes initial voxel data, and the lightweight processing of the modeling computing device on the initial three-dimensional model matching the business review code according to the second user attention information to obtain the first three-dimensional model comprises:

[0031] The modeling computing device obtains a first lightweight three-dimensional model by mapping and inverse mapping processing of spatial information in the initial voxel data based on the second user attention information.

[0032] The modeling computing device maps at least part of the feature information in the initial voxel data into the first lightweight three-dimensional model according to the second user attention information, to obtain the first three-dimensional model.

[0033] Optionally, the second user attention information is adapted to indicate a key mineral reserve area in the mining area or mine to be reviewed, the mining area or mine to be reviewed includes a plurality of sampling positions, the image data includes a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position.

[0034] The modeling computing device obtains a first lightweight three-dimensional model by mapping and inverse mapping processing of spatial information in the initial voxel data based on the second user attention information, including:

[0035] The modeling computing device determines at least one key sampling position from the plurality of sampling positions according to the key mineral reserve area.

[0036] The modeling computing device determines a target scanning direction from a plurality of scanning directions of each key sampling position based on a relative positional relationship between the key mineral reserve area and the key sampling position, and determines key spatial information corresponding to the key sampling position from the spatial information.

[0037] The modeling computing device performs mapping and inverse mapping processing on the key spatial information corresponding to the at least one key sampling position based on the target scanning direction corresponding to each key sampling position, to obtain the first lightweight three-dimensional model.

[0038] Optionally, the second user attention information is adapted to indicate a key mineral reserve area in the mining area or mine to be reviewed, the mining area or mine to be reviewed includes a plurality of sampling positions, the image data includes a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position. The second user attention information further contains a target feature type.

[0039] The modeling computing device maps at least part of the feature information in the initial voxel data into the first lightweight three-dimensional model according to the second user attention information, to obtain the first three-dimensional model, including:

[0040] The modeling computing device determines at least one key sampling position from the plurality of sampling positions according to the key mineral reserve area;

[0041] The modeling computing device determines a target scanning direction from a plurality of scanning directions of each key sampling position based on a relative positional relationship between the key mineral reserve area and the key sampling position, and takes each scanning direction of the key sampling position except the target scanning direction as a remaining scanning direction of the key sampling position, and extracts information belonging to the target feature type from information corresponding to the remaining scanning direction in the feature information as target feature information corresponding to the key sampling position.

[0042] The modeling computing device maps information corresponding to the target scanning direction of each key sampling position in the feature information to the first lightweight three-dimensional model to obtain a second lightweight three-dimensional model, and maps the target feature information of each key sampling position to the second lightweight three-dimensional model to obtain the first three-dimensional model.

[0043] In a second aspect, an embodiment of the present application provides a mineral resource one-code management method, applicable to a modeling computing device, and the method comprises:

[0044] Receiving a model acquisition message from a sending end, wherein the model acquisition message carries a business review code, the business review code matches a mining area or a mine to be reviewed, the business review code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or the mine to be reviewed, and the scanning data includes image data obtained by scanning.

[0045] In response to the model acquisition message, a model response message is sent to the sending end, wherein the model response message carries the first three-dimensional model, the model response message is used to instruct the sending end to acquire target parameter information corresponding to user attention information indicated by a review operation of a user, and at least based on the target parameter information and the first three-dimensional model, a target three-dimensional model is determined to facilitate the user to use the target three-dimensional model to review and manage mineral resources of the mining area or the mine to be reviewed, wherein the target three-dimensional model is used to display related information of the mineral resources of the mining area or the mine to be reviewed, and the related information includes at least one of the following: mineral position, mineral reserve, and mineral form.

[0046] In a third aspect, an embodiment of the present application provides a mineral resource one-code management system, comprising:

[0047] a sending end configured to perform the method of any one of the first aspect; and

[0048] a modeling computing device configured to perform the method of the second aspect.

[0049] In summary, the embodiments of the present application have at least the following beneficial effects:

[0050] With the embodiments of the present application, by responding to the review operation of the user, a business review code matched with the mining area or mine to be reviewed is obtained, wherein the business review code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or mine to be reviewed, and the scanning data includes image data obtained by scanning; at least based on the business review code, the first three-dimensional model is obtained; target parameter information corresponding to user attention information indicated by the review operation is obtained; at least based on the target parameter information and the first three-dimensional model, a target three-dimensional model is determined, so that the user uses the target three-dimensional model to review and manage the mineral resources of the mining area or mine to be reviewed, wherein the target three-dimensional model is used to display related information of the mineral resources of the mining area or mine to be reviewed, and the related information includes at least one of the following: mineral location, mineral reserves, and mineral form. Thus, the embodiments of the present application pre-establish the corresponding relationship between different business review codes and different first three-dimensional models, so as to directly obtain the corresponding first three-dimensional model through the business review code, without the need to perform complete and fine three-dimensional modeling at the local end, and the local end only needs to adjust and / or modify and / or process the first three-dimensional model in combination with the target parameter information concerned by the user, thereby avoiding fine three-dimensional modeling at the local end and greatly reducing the requirement for computing power at the local end. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 is a flowchart of a mineral resource one-code management method provided by the embodiments of the present application;

[0052] Figure 2 is a schematic diagram of a mineral resource one-code management system provided by the embodiments of the present application;

[0053] Figure 3 is a schematic diagram of a review business code provided by the embodiments of the present application;

[0054] Figure 4 is a flowchart of a mineral resource one-code management method executed by a modeling computing device provided by the embodiments of the present application;

[0055] Figure 5 is a structural schematic diagram of a computer device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0056] With reference to the drawings and the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only some of the embodiments of the present application, but not all of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts are within the scope of the present application.

[0057] In the description of the present application, the terms "first", "second", "third", etc. are used only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second", "third", etc. can be explicitly or implicitly included one or more of the features. In the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified. In the description of the present application, the term "comprising" and its variants are open-ended, that is, "including but not limited to". The term "based on" is "at least partially based on". The term "according to" is "at least partially according to". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments".

[0058] In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, or it can be the communication inside two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0059] In the description of the present application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present application have the same meaning as understood by those skilled in the art. The terms used in the specification of the present application are only for the purpose of describing the specific embodiments, and are not intended to limit the present application. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0060] In the first aspect, see Figure 1 , a flowchart of a mineral resource one-code management method provided by an embodiment of the present application is shown. In some examples, the method can be executed by a sending end, see Figure 2The sending end 201 can include a terminal (such as a common computer, even a tablet, a mobile phone, etc.) used by an evaluation personnel, or a regional server accessed by the terminal (such as a server of a network accessed by the terminal, assuming that the terminal is an office computer used by the evaluation personnel, the server can be a server of a local area network accessed by the office computer, etc.), and the method includes S101-S104, which are as follows.

[0061] S101, in response to an evaluation operation of a user, obtaining a business evaluation code matched with a mining area or mine to be evaluated, wherein the business evaluation code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or mine to be evaluated, and the scanning data includes image data obtained by scanning. The mining area or mine to be evaluated includes a mining area to be explored, a mining area where a mining right is to be established after exploration is completed, a mine where a mining right exists but a change in mineral reserves occurs (such as a change in mining right, a significant change in cumulative identified resources during mining, a construction project covering important minerals, etc.), and a mine where illegal mining occurs with a certificate crossing the border and / or without a certificate. In summary, the business corresponding to the business evaluation code of the embodiment of the application covers the following aspects: a mining area that has not been explored or has been explored, or a mine that has been put into production, and the exploration of mineral reserves or the mining right of the mine is in different stages of establishment, extension, and change. That is, when the mineral reserves change, the evaluation management of the embodiment of the application is usually involved.

[0062] Specifically, for the case of changing or newly establishing a mining right, the subsequent evaluation management can include development and utilization scheme evaluation; for a mining area to be explored, the subsequent evaluation management can include evaluation of a pre-exploration exploration implementation scheme.

[0063] In some examples, if the sending end is a terminal used by the evaluation personnel, the user can directly input the above evaluation operation through a microphone and / or a touch screen and / or a keyboard and the like in the terminal. On the other hand, if the sending end is a regional server accessed by the terminal, the regional server can obtain the evaluation operation by receiving an evaluation request message sent by the sending end in response to the above evaluation operation and carrying the evaluation operation, which will not be described here.

[0064] In some examples, the above evaluation operation can include the above business evaluation code so that the sending end directly obtains the business evaluation code therefrom, and / or the above evaluation operation can include a related identifier of the above mining area or mine to be evaluated so as to obtain the corresponding business evaluation code therefrom.

[0065] In some examples, the coding rule of the business review code can stipulate that the business review code contains one or more of the following information of the mining area or mine to be reviewed: administrative region code (usually 6 digits), mineral feature code (usually 1 digit), sequence number (usually 3 digits), registration classification number (usually 4 digits). Specifically, see Figure 3 At this time, the business review code is composed of the administrative region code, the mineral feature code, the sequence number, and the registration classification number, and has a total of 14 digits.

[0066] In some examples, the above-mentioned administrative region code can be encoded according to the relevant rules of GB / T 2260, such as 100000 for the Ministry of Natural Resources and 440000 for Guangdong Province.

[0067] In some examples, the above-mentioned mineral feature code can be encoded according to the “Mineral Resources Classification Rules”, in which the classification codes corresponding to the four major categories of mineral resources are as follows: the energy mineral code is 0, the metal mineral code is 1, the non-metallic mineral code is 2, and the water and gas mineral code is 3.

[0068] In some examples, the above-mentioned sequence number can be sequentially encoded from 001 to 999 to ensure uniqueness.

[0069] In some examples, the above-mentioned registration classification number can be encoded according to the following rules: 1000 represents an unused mining area in the exploration stage; 2001-2999 represents mining business data of mines occupying mining areas in the exploration-to-mining or new mining right stage; 3001-3999 represents business data of corresponding mines that are suspended or closed; 4001-4999 represents business data of construction projects that cover mines or mining areas; and 5001-5999 represents business data of illegal mining areas that cover mines or mining areas.

[0070] S102, obtaining the first three-dimensional model based at least on the business review code.

[0071] In some examples, since the business review code has a corresponding relationship with the first three-dimensional model, it is not difficult to understand that the sending end can determine the first three-dimensional model corresponding to the business review code by virtue of the corresponding relationship, and directly obtain the first three-dimensional model. For example, the corresponding relationship can be used to indicate the address information of the first three-dimensional model, so that the sending end can directly download the first three-dimensional model to the local according to the address information.

[0072] In this way, the sending end can obtain the first three-dimensional model only according to the business review code.

[0073] In some examples, the first three-dimensional model can be obtained by modeling scanning data of the mining area or mine to be reviewed by a modeling computing device, and the first three-dimensional model can be directly stored in the modeling computing device after modeling generation and / or stored in a model database corresponding to the modeling computing device / mining area or mine to be reviewed by the modeling computing device (at this time, the address information can be used to indicate the address of the first three-dimensional model in the modeling computing device and / or the model database), so as to be obtained by the sending end according to the business review code.

[0074] S103, obtaining target parameter information corresponding to the user attention information indicated by the review operation.

[0075] In some examples, the target parameter information and / or a related description of the target parameter information can be contained in the user attention information, and the related description is used to describe the expected target parameter information. For example, the user can add the target parameter information and / or the related description in the input review operation, so as to obtain the target parameter information by the sending end (if it is the related description, such as a language description, the corresponding target parameter information can be extracted by natural language processing of the related description).

[0076] S104, determining a target three-dimensional model based at least on the target parameter information and the first three-dimensional model, so as to utilize the target three-dimensional model by the user to review and manage the mineral resources of the mining area or mine to be reviewed, wherein the target three-dimensional model is used to display related information of the mineral resources of the mining area or mine to be reviewed, and the related information includes at least one of the following: mineral position, mineral reserves, and mineral form.

[0077] In some examples, the above-mentioned target parameter information can include a spatial region parameter and / or a lighting parameter and / or a model display style parameter corresponding to a key mineral reserves region concerned by the user, and the spatial region parameter and / or the lighting parameter and / or the model display style parameter can be determined by the type of mineral contained in the key mineral reserves region. It should be understood that for a complete review and management of the mineral resources of the mining area or mine to be reviewed, there are many process nodes and related users, for example, the types of minerals contained in the mineral resources of the mining area or mine to be reviewed can be various, and different types can be managed by different departments, so the types of minerals concerned by different users can be different, and each user does not need to concern other types of minerals beyond his / her responsibility, so the first three-dimensional model can be processed according to the target parameter information to obtain the target three-dimensional model, so as to utilize the target three-dimensional model by the user to review and manage the mineral resources of the mining area or mine to be reviewed which matches the user.

[0078] In the above example, the target three-dimensional model can be a part of the first three-dimensional model cut according to the above-mentioned spatial region parameter, for representing the target three-dimensional model corresponding to the key mineral reserves region. In addition, the target three-dimensional model can also be a part of the first three-dimensional model corresponding to the key mineral reserves region, which is set according to the above-mentioned lighting parameter (e.g., color and / or transparency and / or brightness, etc.) to display the part of the target three-dimensional model corresponding to the key mineral reserves region according to the lighting characteristics of the corresponding mineral type. In addition, the target three-dimensional model can also be a part of the first three-dimensional model corresponding to the key mineral reserves region, which is set according to the above-mentioned model display style parameter (e.g., the model display style parameter can be used to determine whether to display one or more of the mineral location, mineral reserves, and mineral morphology) to display the part of the target three-dimensional model corresponding to the key mineral reserves region according to the display characteristics of the corresponding mineral type. In addition, the above-mentioned lighting parameter and / or model display style parameter can also be obtained by user setting / adjustment, to represent the user preference.

[0079] In the embodiment, the target three-dimensional model can be obtained by processing the first three-dimensional model in combination with the user preference and / or the type of mineral contained in the key mineral reserves region, which only involves general simple processing, and can make the displayed three-dimensional model more consistent with the user preference and / or the type characteristics of the mineral contained in the key mineral reserves region without requiring large computing power.

[0080] In some examples, if the sending end is a region server, the region server can feed back the target three-dimensional model to the terminal after obtaining the target three-dimensional model, so that the user can use the target three-dimensional model displayed on the terminal to evaluate and manage the mineral resources of the mining area or mine to be evaluated.

[0081] In an optional implementation, the determining the target three-dimensional model based on at least the target parameter information and the first three-dimensional model comprises:

[0082] determining a second three-dimensional model, the second three-dimensional model comprising a third three-dimensional model and / or a fourth three-dimensional model;

[0083] fusing the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model;

[0084] wherein,

[0085] In a case where the second three-dimensional model comprises the third three-dimensional model, the user attention information comprises first user attention information, and the determining the second three-dimensional model comprises: obtaining first target image data corresponding to the first user attention information in the image data, adjusting the first target image data based on the target parameter information to obtain second target image data, and performing three-dimensional modeling based on the second target image data to obtain the third three-dimensional model.

[0086] In a case where the second three-dimensional model comprises the fourth three-dimensional model, the determining the second three-dimensional model comprises: modifying the first three-dimensional model according to the target parameter information to obtain the fourth three-dimensional model.

[0087] It can be understood that, in the embodiment, the target three-dimensional model can be determined only according to the target parameter information and the first three-dimensional model, or the target three-dimensional model can be further determined in combination with the obtained first target image data. In the embodiment in which the first target image data is combined to perform three-dimensional modeling, since the first target image data is only a part of the image data, the required computing power for modeling based on the first target image data is lower than that for complete modeling, and therefore the embodiment still has an advantage in computing power requirement. However, the embodiment is generally more suitable for an execution subject with certain computing power, for example, is more suitable for being executed by the above-mentioned regional server, but it should be understood that the embodiment can also be executed by a terminal, for example, a terminal with certain computing power and / or a scene with low real-time requirement.

[0088] In some examples, the model precision of the third three-dimensional model can be higher than that of the first three-dimensional model.

[0089] In some examples, at least part of the model parameters of the third three-dimensional model can be more fine than at least part of the model parameters of the first three-dimensional model.

[0090] In some examples, the information included in the first user attention information can refer to the description of the user attention information in the above-mentioned related embodiments, which will not be described here again.

[0091] In some examples, the similarity between the parameter information of the second target image data and the target parameter information meets a parameter similarity condition, so that the parameter information of the second target image data obtained by adjusting the first target image data can meet the requirement of the target parameter information.

[0092] In some examples, the specific operation of modifying the first three-dimensional model according to the target parameter information can refer to the description in the above-mentioned related embodiments of processing the first three-dimensional model by using the space region parameter and / or the lighting parameter and / or the model display style parameter, which will not be described here again.

[0093] In the embodiment, a second three-dimensional model matching the target parameter information can be obtained and fused into the first three-dimensional model to strengthen the part of the first three-dimensional model matching the target parameter information, so that the target three-dimensional model finally presented has a higher correlation with the target parameter information.

[0094] In an optional implementation, the user attention information includes second user attention information, the second user attention information is adapted to indicate a key mineral reserve area in the mining area or mine to be reviewed, the mining area or mine to be reviewed includes a plurality of sampling positions, the image data includes a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position.

[0095] The first three-dimensional model and the second three-dimensional model are fused to obtain the target three-dimensional model.

[0096] The plurality of sampling positions and the plurality of scanning directions of each sampling position are obtained.

[0097] According to the key mineral reserve area, at least one key sampling position is determined from the plurality of sampling positions.

[0098] For each key sampling position, a target scanning direction is determined from the plurality of scanning directions of the key sampling position based on the relative positional relationship between the key mineral reserve area and the key sampling position, and each scanning direction of the plurality of scanning directions of the key sampling position except the target scanning direction is taken as a remaining scanning direction of the key sampling position.

[0099] The first three-dimensional model and the second three-dimensional model are fused based on the target scanning direction and the remaining scanning direction to obtain the target three-dimensional model.

[0100] It should be noted that the above sampling position can refer to a position for scanning in the mining area or mine to be reviewed, for example, at each sampling position, image scanning / image acquisition is performed for different scanning directions to obtain scanning images corresponding to the plurality of scanning directions of the sampling position respectively. Exemplarily, one scanning direction can correspond to at least one scanning image.

[0101] In some examples, the above key sampling position can be a position close to the key mineral reserve area (for example, whether it is close can be judged according to the shortest straight line distance between the sampling position and the key mineral reserve area) in the plurality of sampling positions, and / or can be a position located in the key mineral reserve area in the plurality of sampling positions.

[0102] In some examples, the second user attention information is adapted to indicate a type of mineral that the user pays attention to, so that the focus mineral reserve area can be a region in which the above-mentioned mineral that the user pays attention to is located in the mine area or the mine.

[0103] In some examples, the target scanning orientation is determined from a plurality of scanning orientations of the focus sampling location according to the relative position relationship. For example, if the relative position relationship indicates that the focus sampling location is located in the focus mineral reserve area, all scanning orientations of the focus sampling location can be determined as the target scanning orientation, and the number of the remaining scanning orientations of the focus sampling location is 0. If the relative position relationship indicates that the focus sampling location is close to the focus mineral reserve area, the scanning orientations of the focus sampling location that are directed towards the focus mineral reserve area can be determined as the target scanning orientation. Further, a fusion weight can be assigned to the focus sampling location according to the distance between the focus sampling location and the focus mineral reserve area indicated by the relative position relationship. Thus, the fusion of the first three-dimensional model and the second three-dimensional model based on the target scanning orientation and the remaining scanning orientations can further specifically include: fusion of the first three-dimensional model and the second three-dimensional model based on the target scanning orientation, the remaining scanning orientations, and the fusion weight.

[0104] In the embodiment, the focus mineral reserve area is indicated by introducing the second user attention information, and the key sampling location (focus sampling location) and the target scanning orientation thereof are screened according to the focus mineral reserve area, so that resources can be concentrated to perform fine model fusion on the area that the user cares most about, so that the part that the user pays attention to in the target three-dimensional model obtained by fusion can be more finely displayed to the user, and the user can dynamically adjust the model display content and accuracy according to the focus mineral area, which is especially suitable for in-depth analysis of high-potential areas in mine exploration. This personalized three-dimensional model presentation helps the user to more intuitively and efficiently evaluate mineral resources and make subsequent development decisions, thereby improving the accuracy and efficiency of the user's review.

[0105] In addition, when the first three-dimensional model and the second three-dimensional model are fused, instead of simply superimposing, the data of different scanning orientations is intelligently selected to participate in fusion according to the spatial relationship between the focus mineral area and the sampling point, so that the target three-dimensional model has higher resolution and detail performance in the focus area, and is appropriately simplified in the non-focus area, thereby balancing the model quality and performance. In the data utilization process of the image data of the plurality of scanning orientations, the most valuable data is selected for processing in combination with the user attention information, which improves the overall data processing efficiency and visualization effect.

[0106] In an alternative embodiment, the first three-dimensional model comprises first voxel data, the second three-dimensional model comprises second voxel data, and the fusing the first three-dimensional model and the second three-dimensional model based on the target scan orientation and the remaining scan orientations to obtain the target three-dimensional model comprises:

[0107] In the second voxel data, third voxel data corresponding to each of the target scan orientations is determined, and fourth voxel data corresponding to each of the remaining scan orientations is determined;

[0108] For each of the target scan orientations, the corresponding third voxel data is divided into a plurality of first voxel subsets arranged along the target scan orientation according to a preset first granularity, and part of the plurality of first voxel subsets is removed according to a preset screening rule to form a plurality of first voxel target subsets of the target scan orientation;

[0109] For each of the remaining scan orientations, the corresponding fourth voxel data is divided into a plurality of second voxel subsets arranged along the remaining scan orientation according to a preset second granularity, and part of the plurality of second voxel subsets is removed according to the preset screening rule to form a plurality of second voxel target subsets of the remaining scan orientation, wherein the first granularity is finer than the second granularity;

[0110] All the first voxel target subsets and all the second voxel target subsets are added to the first voxel data of the first three-dimensional model to obtain the target three-dimensional model.

[0111] In some examples, there can be no intersection between the third voxel data and the fourth voxel data.

[0112] In some examples, the above-mentioned preset screening rule can be used to indicate that the earlier voxel subset in each adjacent two voxel subsets is removed, or can be used to indicate that the later voxel subset in each adjacent two voxel subsets is removed, or can be used to indicate that the voxel subset at a specified position in each adjacent preset number of voxel subsets is removed (for example, the second voxel subset in each adjacent three voxel subsets, the third voxel subset in each adjacent five voxel subsets, etc.). Thus, the data amount of the voxel target subset is less than that of the corresponding voxel subset, reducing data storage and computing overhead, and reducing the algorithmic requirement of data processing.

[0113] In some examples, adding all the first voxel target subsets and all the second voxel target subsets to the first voxel data of the first three-dimensional model can include, for each target subset, adding the target subset to the data position corresponding to the target subset in the first voxel data of the first three-dimensional model, thereby achieving the effect of model fusion.

[0114] In the embodiment, by dividing and screening the third voxel data corresponding to the target scanning orientation in a finer granularity (first granularity), more detailed information is retained, thereby realizing high-precision modeling in the key area; and for the remaining scanning orientations which are not key, a coarser granularity (second granularity) is used for processing, thereby reducing redundant data and improving system performance on the premise of ensuring the overall structure is reasonable. In addition, the importance of different scanning orientations is distinguished in the fusion process, and targeted data screening and processing are performed respectively, so that the final generated target three-dimensional model can more truly and accurately reflect the mineral distribution of the key area of the mining area, while maintaining the lightweight of the overall model.

[0115] In an optional implementation, the user attention information includes second user attention information, and the obtaining the first three-dimensional model based on at least the business review code includes:

[0116] sending a model obtaining message to a modeling computing device, wherein the model obtaining message carries the business review code and the second user attention information, and the model obtaining message is used to instruct the modeling computing device to perform lightweight processing on an initial three-dimensional model matching the business review code according to the second user attention information to obtain the first three-dimensional model, the initial three-dimensional model being constructed by the modeling computing device by pre-modeling the scanning data;

[0117] receiving a model response message returned by the modeling computing device for the model obtaining message, wherein the model response message carries the first three-dimensional model or address information of the first three-dimensional model, and the address information is used to obtain the first three-dimensional model.

[0118] In some examples, referring to Figure 2 , the modeling computing device 202 can be a device with high computing power such as a cloud, which can pre-collect scanning data of different mining areas and construct corresponding first three-dimensional models, and then establish a corresponding relationship between the constructed first three-dimensional models and the business review codes of the corresponding mining areas for subsequent user calling.

[0119] In some examples, the above lightweight processing can include compression processing, and the first three-dimensional model can be obtained by decompressing the initial three-dimensional model according to the second user attention information by the modeling computing device, so that the sending end can further decompress the first three-dimensional model according to the second user attention information to obtain a decompressed first three-dimensional model after obtaining the first three-dimensional model and before determining the target three-dimensional model.

[0120] In an alternative embodiment, the initial three-dimensional model comprises initial voxel data, and the modeling computing device performs lightweight processing on the initial three-dimensional model matching the business review code according to the second user attention information to obtain the first three-dimensional model, comprising:

[0121] The modeling computing device obtains a first lightweight three-dimensional model by mapping and inverse mapping processing of the spatial information in the initial voxel data based on the second user attention information;

[0122] The modeling computing device maps at least part of the feature information in the initial voxel data into the first lightweight three-dimensional model according to the second user attention information to obtain the first three-dimensional model.

[0123] In some examples, the mapping and inverse mapping processing in this application refers to first mapping the spatial information in the initial voxel data according to the second user attention information, then inverse mapping the mapped data according to the second user attention information, thereby realizing lightweight of the model through mapping and inverse mapping processing based on the second user attention information, and finally mapping at least part of the feature information in the initial voxel data matching the second user attention information into the first lightweight three-dimensional model to obtain the first three-dimensional model, ensuring that the first three-dimensional model carries the feature information of user attention and eliminates the feature information of user disinterest, further realizing lightweight of the model, so as to reduce the communication pressure of model transmission.

[0124] In an alternative embodiment, the second user attention information is adapted to indicate a key mineral reserve area in the mine area or mine to be reviewed, the mine area or mine to be reviewed comprises a plurality of sampling positions, the image data comprises a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position.

[0125] The modeling computing device obtains a first lightweight three-dimensional model by mapping and inverse mapping processing of the spatial information in the initial voxel data based on the second user attention information, comprising:

[0126] The modeling computing device determines at least one key sampling position from the plurality of sampling positions according to the key mineral reserve area;

[0127] The modeling computing device determines a target scanning direction from the plurality of scanning directions of each key sampling position based on the relative positional relationship between the key mineral reserve area and the key sampling position, and determines key spatial information corresponding to the key sampling position from the spatial information;

[0128] The modeling computing device maps and inversely maps the key space information corresponding to each of the at least one key sampling position based on the target scanning orientation corresponding to each of the at least one key sampling position, to obtain the first lightweight three-dimensional model.

[0129] It should be noted that in the mapping and inverse mapping processing described in the embodiment, since each key sampling position corresponds to at least one target scanning orientation, the target scanning orientation corresponding to each key sampling position can be used as a basis for mapping and inverse mapping processing of the key space information corresponding to the key sampling position, that is, the key space information is first mapped according to the basis, and then the mapped key space information is inversely mapped according to the basis, so as to realize the lightweight processing of the space information.

[0130] In the embodiment, the key sampling positions and the target scanning orientations corresponding to the key sampling positions are dynamically screened based on the key mineral reserve area, and only the key space information corresponding to the key sampling positions is mapped and inversely mapped, so that the most valuable information is retained in the lightweight modeling process, the redundant calculation of non-key areas is avoided, and the modeling efficiency and the relevance of the model are significantly improved. Moreover, in this way, the overall data amount is reduced, the lightweight three-dimensional model is realized, the modeling accuracy and the visualization quality of the key mineral reserve area that the user is most concerned about are ensured, and the demand for high-fidelity display of the key area in resource review is met.

[0131] In an optional implementation, the second user attention information is adapted to indicate a key mineral reserve area in the mining area or mine to be reviewed, the mining area or mine to be reviewed includes a plurality of sampling positions, the image data includes a plurality of scanning images of each of the sampling positions, and the plurality of scanning images correspond to a plurality of scanning orientations of the sampling position; and the second user attention information further includes a target feature type.

[0132] The modeling computing device maps at least part of the feature information in the initial voxel data into the first lightweight three-dimensional model according to the second user attention information, to obtain the first three-dimensional model, including:

[0133] The modeling computing device determines at least one key sampling position from the plurality of sampling positions according to the key mineral reserve area.

[0134] The modeling computing device determines, for each of the key sampling positions, a target scanning direction from a plurality of scanning directions of the key sampling position based on a relative positional relationship between the key mineral reserve region and the key sampling position, and takes each scanning direction of the plurality of scanning directions of the key sampling position except the target scanning direction as a remaining scanning direction of the key sampling position, and extracts information belonging to the target feature type from information corresponding to the remaining scanning direction in the feature information as target feature information corresponding to the key sampling position;

[0135] The modeling computing device maps the information corresponding to the target scanning direction of each of the key sampling positions in the feature information into the first lightweight three-dimensional model to obtain a second lightweight three-dimensional model, and maps the target feature information of each of the key sampling positions into the second lightweight three-dimensional model to obtain the first three-dimensional model.

[0136] In the embodiment, not only the spatial region (key mineral reserve region) concerned by the user is considered, but also the target feature type (such as a specific mineral composition, a geological structure, etc.) specified by the user is combined, so that the feature information highly relevant to the review intention of the user can be extracted from the information corresponding to the remaining scanning direction in the feature information and mapped into the lightweight model. This makes the finally generated first three-dimensional model not only retain the key details in the geometric structure, but also enhance the expression ability of the properties of the mineral resources and improve the semantic value of the model. In addition, by distinguishing the target scanning direction from the remaining scanning direction and extracting only the information conforming to the target feature type in the latter to perform mapping, the introduction of redundant features is avoided, so that the model is more focused on the mineral features that the user is really concerned about. In this way, the user can more accurately identify the type, distribution rule and potential development value of the mineral in the three-dimensional visualization environment, thereby improving the review efficiency and decision-making quality. Further, under the premise of ensuring the lightness of the model, by embedding the key feature information into the lightweight model, the effect of a small volume and a large amount of information is realized, which not only meets the system performance requirements (such as fast loading and smooth interaction), but also ensures that the model has sufficient information expressiveness in the key region.

[0137] Further, the mapping sequence is specifically defined in the embodiment, which can have at least one of the following beneficial effects:

[0138] 1. Since the target scanning orientation is the direction that users are most concerned about, it will contain the clearest and most relevant spatial and feature information. Therefore, the information in the feature information corresponding to the target scanning orientation of each key sampling location is preferentially mapped into the lightweight model. This can ensure that high-quality and highly relevant data are retained in the model in the initial stage, which helps to maintain the geometric integrity and feature expression accuracy of the key area and avoids interference or dilution of this part of the information in subsequent processing.

[0139] 2. While information from other scanning directions also contains valuable content, its perspective is usually less clear or crucial than that of the target scanning direction. Mapping and fusing this information simultaneously with the information corresponding to the target scanning direction may introduce noise or interference, damaging the information corresponding to the target scanning direction and affecting the expression of primary and secondary information in the model. Therefore, the sequential mapping method in this embodiment allows for the filtering, weighting, or semantic enhancement of this information, which is then selectively superimposed onto the existing model, thereby improving the overall model's fusion quality and the accuracy of information expression.

[0140] In some examples, the target feature type may include at least one of the following:

[0141] Mineral composition refers to the specific types and contents of minerals in the ore that need to be focused on in the mining area, mine, or key mineral reserve area to be reviewed, such as metallic minerals such as gold, silver, copper, and iron, or non-metallic minerals such as quartz and calcite.

[0142] Ore body morphology and distribution refers to the shape, size, direction of extension, and relative positional relationships of ore bodies that require special attention in the mining area, mine, or key mineral reserve area.

[0143] Ore grade refers to the content of useful components in the ore that needs to be assessed in the mining area, mine, or key mineral reserve area. It is usually expressed as a percentage and is an important parameter for evaluating the economic value of a mineral deposit.

[0144] Geological structural features, including faults, folds, joints, etc., have a significant impact on the spatial distribution of ore bodies and the difficulty of mining.

[0145] Rock types, namely the different types of rocks (such as igneous rocks, sedimentary rocks, metamorphic rocks) and their physicochemical properties that need to be focused on in the mining area, mine, or key mineral reserve area to be reviewed, are crucial for understanding the formation conditions of ore bodies and predicting potential mineralization areas.

[0146] Geochemical anomalies, which are areas of unusual concentration of specific elements on or beneath the Earth's surface, are often used as clues for mineral exploration.

[0147] Surrounding rock alteration, i.e. chemical changes such as silicification, carbonatization, etc. that occur in the rocks surrounding the ore body in the mining area or mine or key mineral reserves area to be reviewed, which helps to determine the range and intensity of mineralization.

[0148] Groundwater characteristics, i.e. the form of existence, flow path and water quality of groundwater in the mining area or mine or key mineral reserves area to be reviewed, which is of great significance to mine design and environmental protection.

[0149] Physical properties, i.e. physical properties such as density, magnetism and / or electrical conductivity in the mining area or mine or key mineral reserves area to be reviewed, which can be used for indirect detection and identification of ore bodies.

[0150] In some examples, whether the final review result of a certain review management business (which can be represented by a review operation) is passed or not, the review management business exists as a piece of historical achievement of the current mining area or mine (e.g. mining area and / or mine) to be reviewed, and all businesses are associated with the business review code before being handled, which is conducive to real-time viewing of relevant information of associated businesses and business subjects in subsequent links. In addition, the target three-dimensional model corresponding to the review management business can be returned to the modeling computing device and / or the model database corresponding to the mining area or mine to be reviewed, so as to be directly called by other users subsequently.

[0151] In a second aspect, the embodiments of the present application provide a mineral resource one-code management method, which is suitable for a modeling computing device, as shown in Figure 4 , a flowchart of a mineral resource one-code management method executed by a modeling computing device is shown, which includes S401-S402, and the details are as follows.

[0152] S401, receiving a model acquisition message from a sending end, wherein the model acquisition message carries a business review code, the business review code matches a mining area or mine to be reviewed, the business review code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or mine to be reviewed, and the scanning data includes image data obtained by scanning;

[0153] S402, in response to the model obtaining message, sending a model response message to the sending end, wherein the model response message carries the first three-dimensional model, the model response message is used to instruct the sending end to obtain target parameter information corresponding to the user attention information indicated by the review operation of the user, and at least based on the target parameter information and the first three-dimensional model, a target three-dimensional model is determined, so that the user uses the target three-dimensional model to review and manage the mineral resources of the mining area or mine to be reviewed, wherein the target three-dimensional model is used to display the related information of the mineral resources of the mining area or mine to be reviewed, and the related information includes at least one of the following: mineral location, mineral reserves, and mineral form.

[0154] In an optional implementation, the determining of the target three-dimensional model based on at least the target parameter information and the first three-dimensional model comprises:

[0155] determining a second three-dimensional model, the second three-dimensional model comprising a third three-dimensional model and / or a fourth three-dimensional model;

[0156] fusing the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model;

[0157] wherein,

[0158] In the case where the second three-dimensional model comprises the third three-dimensional model, the user attention information comprises first user attention information, and the determining of the second three-dimensional model comprises: obtaining first target image data corresponding to the first user attention information in the image data, adjusting the first target image data based on the target parameter information to obtain second target image data, and performing three-dimensional modeling based on the second target image data to obtain the third three-dimensional model.

[0159] In the case where the second three-dimensional model comprises the fourth three-dimensional model, the determining of the second three-dimensional model comprises: modifying the first three-dimensional model according to the target parameter information to obtain the fourth three-dimensional model.

[0160] In an optional implementation, the user attention information comprises second user attention information, the second user attention information is suitable for indicating a key mineral reserves area in the mining area or mine to be reviewed, the mining area or mine to be reviewed comprises a plurality of sampling positions, the image data comprises a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position.

[0161] The fusing of the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model comprises:

[0162] acquiring the plurality of sampling positions and a plurality of scanning orientations of each of the sampling positions;

[0163] determining at least one key sampling position from the plurality of sampling positions according to the key mineral reserves area;

[0164] For each of the key sampling positions, determining a target scanning orientation from the plurality of scanning orientations of the key sampling position based on a relative positional relationship between the key mineral reserves area and the key sampling position, and determining each scanning orientation of the plurality of scanning orientations of the key sampling position other than the target scanning orientation as a remaining scanning orientation of the key sampling position;

[0165] fusing the first three-dimensional model and the second three-dimensional model based on the target scanning orientation and the remaining scanning orientation to obtain the target three-dimensional model.

[0166] In an optional implementation, the first three-dimensional model includes first voxel data, the second three-dimensional model includes second voxel data, and the fusing the first three-dimensional model and the second three-dimensional model based on the target scanning orientation and the remaining scanning orientation to obtain the target three-dimensional model includes:

[0167] In the second voxel data, determining third voxel data corresponding to each of the target scanning orientations, and determining fourth voxel data corresponding to each of the remaining scanning orientations;

[0168] For each of the target scanning orientations, dividing the corresponding third voxel data into a plurality of first voxel subsets arranged along the target scanning orientation according to a preset first granularity, and removing part of the plurality of first voxel subsets according to a preset screening rule to form a plurality of first voxel target subsets of the target scanning orientation;

[0169] For each of the remaining scanning orientations, dividing the corresponding fourth voxel data into a plurality of second voxel subsets arranged along the remaining scanning orientation according to a preset second granularity, and removing part of the plurality of second voxel subsets according to the preset screening rule to form a plurality of second voxel target subsets of the remaining scanning orientation, wherein the first granularity is finer than the second granularity;

[0170] adding all the first voxel target subsets and all the second voxel target subsets to the first voxel data of the first three-dimensional model to obtain the target three-dimensional model.

[0171] In an optional implementation, the user attention information includes second user attention information, and the model acquisition message carries the business review code and the second user attention information.

[0172] The method further comprises:

[0173] In response to the model acquisition message, performing lightweight processing on an initial three-dimensional model matched with the business review code according to the second user attention information to obtain the first three-dimensional model, wherein the initial three-dimensional model is constructed by the modeling computing device by performing three-dimensional modeling on the scanning data in advance;

[0174] The method further comprises:

[0175] In an optional implementation, the initial three-dimensional model comprises initial voxel data, and the lightweight processing on the initial three-dimensional model matched with the business review code according to the second user attention information to obtain the first three-dimensional model comprises:

[0176] Based on the second user attention information, mapping and inverse mapping processing are performed on the spatial information in the initial voxel data to obtain a first lightweight three-dimensional model;

[0177] According to the second user attention information, at least part of the feature information in the initial voxel data is mapped into the first lightweight three-dimensional model to obtain the first three-dimensional model.

[0178] In an optional implementation, the second user attention information is adapted to indicate a key mineral reserve region in the mining area or mine to be reviewed, the mining area or mine to be reviewed comprises a plurality of sampling positions, the image data comprises a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position.

[0179] The mapping and inverse mapping processing on the spatial information in the initial voxel data based on the second user attention information comprises:

[0180] According to the key mineral reserve region, at least one key sampling position is determined from the plurality of sampling positions;

[0181] For each key sampling position, based on a relative positional relationship between the key mineral reserve region and the key sampling position, a target scanning direction is determined from the plurality of scanning directions of the key sampling position, and key spatial information corresponding to the key sampling position is determined from the spatial information;

[0182] According to the second user attention information, at least part of the feature information in the initial voxel data is mapped into the first lightweight three-dimensional model to obtain the first three-dimensional model.

[0183] In an optional implementation, the second user attention information is adapted to indicate a key mineral reserve area in the mining area or mine to be reviewed, the mining area or mine to be reviewed includes a plurality of sampling locations, the image data includes a plurality of scanning images of each sampling location, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling location; and the second user attention information further includes a target feature type.

[0184] According to the second user attention information, at least part of the feature information in the initial voxel data is mapped into the first lightweight three-dimensional model to obtain the first three-dimensional model.

[0185] According to the key mineral reserve area, at least one key sampling location is determined from the plurality of sampling locations.

[0186] For each key sampling location, a target scanning direction is determined from a plurality of scanning directions of the key sampling location based on a relative positional relationship between the key mineral reserve area and the key sampling location, each scanning direction of the key sampling location except the target scanning direction is taken as a remaining scanning direction of the key sampling location, and information belonging to the target feature type is extracted from information corresponding to the remaining scanning direction in the feature information as target feature information corresponding to the key sampling location.

[0187] The information corresponding to the target scanning direction of each key sampling location in the feature information is mapped into the first lightweight three-dimensional model to obtain a second lightweight three-dimensional model, and the target feature information of each key sampling location is mapped into the second lightweight three-dimensional model to obtain the first three-dimensional model.

[0188] In a third aspect, referring to Figure 2 The mineral resource one-code management system provided by the embodiments of the present application comprises:

[0189] The sending end 201 is configured to perform the method of any one of the first aspect; and

[0190] The modeling computing device 202 is configured to perform the method of the second aspect.

[0191] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, having stored thereon a computer program, which, when executed by a processor, implements the steps of any of the above methods.

[0192] In a fifth aspect, an embodiment of the present application provides a computer program product, comprising computer instructions, which, when executed by a processor, implement the steps of any of the above methods.

[0193] In a sixth aspect, an embodiment of the present application provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the steps of any of the above methods.

[0194] Referring to Figure 5 The computer device of this embodiment comprises a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501, such as a mineral resource code management program. The processor 501, when executing the computer program, implements the steps in each of the above mineral resource code management method embodiments, such as steps S101-S104 shown in the figure. Figure 1

[0195] For example, the computer program can be divided into one or more modules / units, which are stored in the memory 502 and executed by the processor 501 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the computer device.

[0196] The computer device can be a desktop computer, a notebook, a palm computer, a cloud server, and the like. The computer device can include, but is not limited to, the processor 501 and the memory 502. Those skilled in the art can understand that the schematic diagram is only an example of the computer device, and does not limit the computer device, which can include more or fewer components than the diagram, or combine certain components, or different components, for example, the computer device can also include an input / output device, a network access device, a bus, and the like.

[0197] ​The processor 501 can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor 501 can also be any conventional processor. The processor 501 is a control center of the computer device, and is connected with various parts of the computer device through various interfaces and lines.

[0198] The memory 502 can be used to store computer programs and / or modules, and the processor 501 realizes various functions of the computer device by running or executing the computer programs and / or modules stored in the memory 502, and calling data stored in the memory 502. The memory 502 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playing function, an image playing function, etc.), etc.; and the data storage area can store data created according to use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 502 can include a high-speed random access memory, and can also include a nonvolatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash storage device, or other volatile solid-state storage device.

[0199] The modules / units integrated in the computer device, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by the processor 501, the steps of the above-mentioned various method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. that can carry the computer program code.

[0200] In summary, the embodiments of the present application have at least the following beneficial effects:

[0201] By responding to the review operation of the user, the business review code matched with the mining area or mine to be reviewed is obtained, wherein the business review code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or mine to be reviewed, and the scanning data includes image data obtained by scanning. At least based on the business review code, the first three-dimensional model is obtained. Target parameter information corresponding to the user attention information indicated by the review operation is obtained. At least based on the target parameter information and the first three-dimensional model, a target three-dimensional model is determined, so that the user uses the target three-dimensional model to review and manage the mineral resources of the mining area or mine to be reviewed, wherein the target three-dimensional model is used to display related information of the mineral resources of the mining area or mine to be reviewed, and the related information includes at least one of the following: mineral location, mineral reserves, and mineral form. Thus, the embodiments of the present application pre-establish the corresponding relationship between different business review codes and different first three-dimensional models, so as to directly obtain the corresponding first three-dimensional model through the business review code, without performing complete and fine three-dimensional modeling at the local end. The local end only needs to adjust and / or modify and / or process the first three-dimensional model in combination with the target parameter information concerned by the user, thereby avoiding fine three-dimensional modeling at the local end and greatly reducing the algorithm requirement of the local end.

[0202] Those skilled in the art can clearly understand the application by the description of the above embodiments that the application can be implemented by means of software and necessary hardware platform, and of course, can also be implemented by hardware. Based on such understanding, all or part of the technical solutions of the application that make contributions to the background art can be embodied in the form of a software product. The computer software product can be stored in a storage medium, such as a ROM (Read-Only Memory), a RAM (Random Access Memory), a magnetic disk, an optical disk, and the like, and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in various embodiments or some parts of the embodiments of the application.

[0203] The above is the preferred embodiment of the application, and it should be pointed out that for those skilled in the art, without departing from the principles of the application, a number of improvements and refinements can be made, which are also considered within the protection scope of the application.​

Claims

1. A method for managing mineral resources in one code, characterized by, The method comprises: in response to a user's review operation, obtaining a business review code matched with a mining area or mine to be reviewed, wherein the business review code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or mine to be reviewed, and the scanning data comprises image data obtained by scanning; obtaining the first three-dimensional model based at least on the business review code; obtaining target parameter information corresponding to user attention information indicated by the review operation; determining a target three-dimensional model based at least on the target parameter information and the first three-dimensional model, so that the user uses the target three-dimensional model to review and manage mineral resources of the mining area or mine to be reviewed, wherein the target three-dimensional model is used to display related information of the mineral resources of the mining area or mine to be reviewed, and the related information comprises at least one of the following: mineral location, mineral reserves, and mineral form; wherein the determination of the target three-dimensional model based at least on the target parameter information and the first three-dimensional model comprises: determining a second three-dimensional model comprising a third three-dimensional model and / or a fourth three-dimensional model; and fusing the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model; wherein, in the case that the second three-dimensional model comprises the third three-dimensional model, the user attention information comprises first user attention information, and the determination of the second three-dimensional model comprises: obtaining first target image data corresponding to the first user attention information in the image data, adjusting the first target image data based on the target parameter information to obtain second target image data, and performing three-dimensional modeling based on the second target image data to obtain the third three-dimensional model; in the case that the second three-dimensional model comprises the fourth three-dimensional model, the determination of the second three-dimensional model comprises: modifying the first three-dimensional model according to the target parameter information to obtain the fourth three-dimensional model; wherein the user attention information comprises second user attention information, the second user attention information is suitable for indicating a key mineral reserves area in the mining area or mine to be reviewed, the mining area or mine to be reviewed comprises a plurality of sampling positions, the image data comprises a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position; wherein the fusion of the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model comprises: obtaining the plurality of sampling positions and the plurality of scanning directions of each sampling position; and determining at least one key sampling position from the plurality of sampling positions according to the key mineral reserves area; for each key sampling position, determining a target scanning direction from the plurality of scanning directions of the key sampling position based on a relative positional relationship between the key mineral reserves area and the key sampling position, and regarding each scanning direction of the plurality of scanning directions of the key sampling position except the target scanning direction as a remaining scanning direction of the key sampling position. Fusing the first three-dimensional model and the second three-dimensional model based on the target scanning orientations and the remaining scanning orientations to obtain the target three-dimensional model; The first three-dimensional model includes first voxel data, and the second three-dimensional model includes second voxel data. The fusing of the first three-dimensional model and the second three-dimensional model based on the target scanning orientations and the remaining scanning orientations to obtain the target three-dimensional model includes: In the second voxel data, third voxel data corresponding to each target scanning orientation is determined, and fourth voxel data corresponding to each remaining scanning orientation is determined. For each target scanning orientation, the corresponding third voxel data is divided into a plurality of first voxel subsets arranged along the target scanning orientation according to a preset first granularity, and part of the plurality of first voxel subsets is removed according to a preset screening rule to form a plurality of first voxel target subsets of the target scanning orientation. For each remaining scanning orientation, the corresponding fourth voxel data is divided into a plurality of second voxel subsets arranged along the remaining scanning orientation according to a preset second granularity, and part of the plurality of second voxel subsets is removed according to the preset screening rule to form a plurality of second voxel target subsets of the remaining scanning orientation, wherein the first granularity is finer than the second granularity. All the first voxel target subsets and all the second voxel target subsets are added to the first voxel data of the first three-dimensional model to obtain the target three-dimensional model.

2. The method of claim 1, wherein, The user attention information includes second user attention information, and the obtaining of the first three-dimensional model based at least on the business review code includes: sending a model obtaining message to a modeling computing device, wherein the model obtaining message carries the business review code and the second user attention information, and the model obtaining message is used to instruct the modeling computing device to perform lightweight processing on an initial three-dimensional model matching the business review code according to the second user attention information to obtain the first three-dimensional model, the initial three-dimensional model being constructed by the modeling computing device by performing three-dimensional modeling on the scanning data in advance; receiving a model response message returned by the modeling computing device in response to the model obtaining message, wherein the model response message carries the first three-dimensional model or address information of the first three-dimensional model, and the address information is used to obtain the first three-dimensional model.

3. The method of claim 2, wherein, The initial three-dimensional model includes initial voxel data, and the lightweight processing of the modeling computing device on the initial three-dimensional model matching the business review code according to the second user attention information to obtain the first three-dimensional model includes: The modeling computing device obtains a first lightweight three-dimensional model by mapping and inverse mapping processing of spatial information in the initial voxel data based on the second user attention information. The modeling computing device obtains a first lightweight three-dimensional model by mapping and inverse mapping processing of spatial information in the initial voxel data based on the second user attention information. The modeling computing device maps at least part of feature information in the initial voxel data into the first lightweight three-dimensional model according to the second user attention information, to obtain the first three-dimensional model.

4. The method of claim 3, wherein, The second user attention information is adapted to indicate a key mineral reserve area in the mining area or mine to be reviewed, the mining area or mine to be reviewed includes a plurality of sampling positions, the image data includes a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position. The modeling computing device obtains the first lightweight three-dimensional model by mapping and inverse mapping processing of spatial information in the initial voxel data based on the second user attention information, including: The modeling computing device determines at least one key sampling position from the plurality of sampling positions according to the key mineral reserve area. The modeling computing device determines a target scanning direction from a plurality of scanning directions of each key sampling position based on a relative positional relationship between the key mineral reserve area and the key sampling position, and determines key spatial information corresponding to the key sampling position from the spatial information. The modeling computing device performs mapping and inverse mapping processing on the key spatial information corresponding to the at least one key sampling position based on the target scanning direction corresponding to each key sampling position, to obtain the first lightweight three-dimensional model.

5. The method of claim 3, wherein, The second user attention information is adapted to indicate a key mineral reserve area in the mining area or mine to be reviewed, the mining area or mine to be reviewed includes a plurality of sampling positions, the image data includes a plurality of scanning images of each sampling position, and the plurality of scanning images correspond to a plurality of scanning directions of the sampling position; and the second user attention information further contains a target feature type. The modeling computing device maps at least part of feature information in the initial voxel data into the first lightweight three-dimensional model according to the second user attention information, to obtain the first three-dimensional model, including: The modeling computing device determines at least one key sampling position from the plurality of sampling positions according to the key mineral reserve area. The modeling computing device determines a target scanning direction from a plurality of scanning directions of each key sampling position based on a relative positional relationship between the key mineral reserve area and the key sampling position, and determines key spatial information corresponding to the key sampling position from the spatial information. The modeling computing device determines a target scanning direction from a plurality of scanning directions of each key sampling position based on a relative positional relationship between the key mineral reserve area and the key sampling position, and determines key spatial information corresponding to the key sampling position from the spatial information. The modeling computing device maps information corresponding to the target scanning orientation of each of the key sampling positions in the feature information to the first lightweight three-dimensional model to obtain a second lightweight three-dimensional model, and maps the target feature information of each of the key sampling positions to the second lightweight three-dimensional model to obtain the first three-dimensional model.

6. A mineral resource one-code management method characterized by, The method is suitable for a modeling computing device, and the method comprises: receiving a model acquisition message from a sending end, wherein the model acquisition message carries a business review code, the business review code matches a mining area or mine to be reviewed, the business review code has a corresponding relationship with a first three-dimensional model, the first three-dimensional model is obtained by processing scanning data of the mining area or mine to be reviewed, and the scanning data comprises image data obtained by scanning; in response to the model acquisition message, sending a model response message to the sending end, wherein the model response message carries the first three-dimensional model, the model response message is used to instruct the sending end to acquire target parameter information corresponding to user attention information indicated by a review operation of a user, and a target three-dimensional model is determined based at least on the target parameter information and the first three-dimensional model, so that the user uses the target three-dimensional model to review and manage mineral resources of the mining area or mine to be reviewed, wherein the target three-dimensional model is used to display related information of the mineral resources of the mining area or mine to be reviewed, and the related information comprises at least one of the following: mineral position, mineral reserves, and mineral form; wherein the determination of the target three-dimensional model based at least on the target parameter information and the first three-dimensional model comprises: determining a second three-dimensional model, the second three-dimensional model comprising a third three-dimensional model and / or a fourth three-dimensional model; and fusing the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model; wherein in a case where the second three-dimensional model comprises the third three-dimensional model, the user attention information comprises first user attention information, and the determination of the second three-dimensional model comprises: acquiring first target image data corresponding to the first user attention information in the image data, adjusting the first target image data based on the target parameter information to obtain second target image data, and performing three-dimensional modeling based on the second target image data to obtain the third three-dimensional model; in a case where the second three-dimensional model comprises the fourth three-dimensional model, the determination of the second three-dimensional model comprises: modifying the first three-dimensional model according to the target parameter information to obtain the fourth three-dimensional model; wherein the user attention information comprises second user attention information, the second user attention information is suitable for indicating a key mineral reserves area in the mining area or mine to be reviewed, the mining area or mine to be reviewed comprises a plurality of sampling positions, the image data comprises a plurality of scanning images of each of the sampling positions, and the plurality of scanning images correspond to a plurality of scanning orientations of the sampling position. The fusing the first three-dimensional model and the second three-dimensional model to obtain the target three-dimensional model comprises: obtaining the plurality of sampling positions and a plurality of scanning orientations of each of the sampling positions; determining at least one key sampling position from the plurality of sampling positions according to the key mineral reserves area; for each of the key sampling positions, determining a target scanning orientation from the plurality of scanning orientations of the key sampling position based on the relative positional relationship between the key mineral reserves area and the key sampling position, and regarding each scanning orientation of the plurality of scanning orientations of the key sampling position except the target scanning orientation as a remaining scanning orientation of the key sampling position; fusing the first three-dimensional model and the second three-dimensional model based on the target scanning orientation and the remaining scanning orientation to obtain the target three-dimensional model; The first three-dimensional model comprises first voxel data, and the second three-dimensional model comprises second voxel data. The fusing the first three-dimensional model and the second three-dimensional model based on the target scanning orientation and the remaining scanning orientation to obtain the target three-dimensional model comprises: determining third voxel data corresponding to each of the target scanning orientations and fourth voxel data corresponding to each of the remaining scanning orientations in the second voxel data; for each of the target scanning orientations, dividing the corresponding third voxel data into a plurality of first voxel subsets arranged along the target scanning orientation according to a preset first granularity, and removing part of the plurality of first voxel subsets according to a preset screening rule to form a plurality of first voxel target subsets of the target scanning orientation; for each of the remaining scanning orientations, dividing the corresponding fourth voxel data into a plurality of second voxel subsets arranged along the remaining scanning orientation according to a preset second granularity, and removing part of the plurality of second voxel subsets according to the preset screening rule to form a plurality of second voxel target subsets of the remaining scanning orientation, wherein the first granularity is finer than the second granularity; adding all the first voxel target subsets and all the second voxel target subsets to the first voxel data of the first three-dimensional model to obtain the target three-dimensional model.

7. A mineral resource one-code management system characterized by, comprise: a sending end configured to perform the method of any one of claims 1-5; and a modeling computing device. The computer program, when executed by a processor, implements the method of any one of claims 1-6.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer instructions, when executed by a processor, implement the method of any one of claims 1-6.

9. A computer program product comprising computer instructions, characterized in that, comprise a processor, a memory, and computer programs stored in the memory and configured to be executed by the processor, the processor implementing the method of any one of claims 1-6 when executing the computer programs.

10. A computer device, comprising: ​

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