Rock sample intelligent integrated comprehensive management method, device, medium and equipment

Abstract

The application relates to a rock and mineral specimen intelligent integrated comprehensive management method, device, medium and equipment, and relates to the technical field of rock and mineral specimen management, wherein the method comprises the following steps: acquiring initial image data of a target rock and mineral specimen, and acquiring a collection position and a collection time of the target rock and mineral specimen; determining an initial rock and mineral type of the target rock and mineral specimen based on the initial image data through a preset rock and mineral type identification model; classifying the initial image data, the initial rock and mineral type, the collection position and the collection time into a ledger data set of the target rock and mineral specimen, generating a specimen two-dimensional code corresponding to the target rock and mineral specimen based on the ledger data set; after a printed piece of the specimen two-dimensional code is pasted on the target rock and mineral specimen, acquiring target image data of the target rock and mineral specimen on a turntable; based on the target image data, the initial rock and mineral type is verified, and when the verification is passed, a storage instruction is issued for the target rock and mineral specimen. The application has the effect of improving the management efficiency of rock and mineral specimens.

Description

Technical Field

[0001] This application relates to the field of rock and mineral specimen management technology, specifically to an intelligent integrated management and control method, device, medium and equipment for rock and mineral specimens. Background Technology

[0002] Rock and mineral specimens refer to rock or mineral samples collected from nature, which have been processed and identified. They are core physical materials for geological research, teaching, and popular science, used to visually demonstrate the inherent characteristics of rocks and minerals, such as their mineral composition, structure, and physicochemical properties. Rock and mineral specimens include collected rock, ore, and fossil specimens, possessing significant scientific research, teaching, and popular science value. Each year, various geological projects accumulate a large number of rock and mineral specimens. Furthermore, with the implementation of a new round of strategic actions for mineral exploration breakthroughs, the quantity of such physical specimens will further increase. Therefore, how to scientifically and effectively manage rock and mineral specimens is of great significance for fully realizing the value of these physical data, reducing costs and increasing efficiency, and supporting geological prospecting.

[0003] Currently, the management of rock and mineral specimens typically involves multiple stages from collection to storage. Each stage has its own independent operating procedures and recording methods, and the connection between these stages relies heavily on manual communication, resulting in low efficiency in the management of rock and mineral specimens. Summary of the Invention

[0004] To improve the management efficiency of rock and mineral specimens, this application provides an intelligent integrated management and control method, device, medium, and equipment for rock and mineral specimens.

[0005] The first aspect of this application provides an intelligent integrated management and control method for rock and mineral specimens, specifically including:

[0006] Acquire initial image data of the target rock and mineral specimen, and acquire the collection location and collection time of the target rock and mineral specimen. The target rock and mineral specimen is a rock and mineral specimen collected in the field, and the initial image data is image data of the target rock and mineral specimen collected by the terminal of the on-site rock and mineral collection personnel.

[0007] Based on the initial image data, the initial rock and mineral type of the target rock and mineral specimen is determined by a preset rock and mineral type recognition model;

[0008] The initial image data, the initial rock and mineral type, the collection location, and the collection time are classified into a ledger dataset for the target rock and mineral specimen. Based on the ledger dataset, a specimen QR code corresponding to the target rock and mineral specimen is generated. The specimen QR code is bound to the ledger dataset. The specimen QR code allows the terminal to scan and operate on the ledger dataset.

[0009] After the printed QR code of the target rock and mineral specimen is affixed to the target rock and mineral specimen, the target rock and mineral specimen is transported to a turntable in a preset dark box by a preset conveyor belt, and the target image data of the target rock and mineral specimen on the turntable is acquired. The target image data is the image data collected during the 360-degree rotation of the target rock and mineral specimen with the turntable.

[0010] Based on the target image data, the initial rock and mineral type is verified. When the verification is successful, a submission and storage instruction is issued for the target rock and mineral specimen.

[0011] If the verification fails, the final rock and mineral type of the target rock and mineral specimen is determined, the initial rock and mineral type in the ledger dataset is replaced with the final rock and mineral type, and a submission instruction is issued for the target rock and mineral specimen.

[0012] By adopting the above technical solution, when field rock and mineral collectors collect target rock and mineral specimens in the field, they can acquire initial image data in real time from their terminals. Based on this initial image data, the rock and mineral type of the target specimen is preliminarily identified, facilitating the initial registration of relevant information. Then, based on the ledger dataset, a specimen QR code containing detailed information about the target rock and mineral specimen is generated, and a printed copy of the QR code is affixed to the surface of the specimen. This enables real-time manipulation of the target rock and mineral specimen information through scanning during the entire lifecycle management process, avoiding manual intervention between stages and improving specimen management efficiency to some extent. Furthermore, the combination of conveyor belts and turntables allows for more refined image acquisition of the target rock and mineral specimens automatically. Based on the acquired target image data, a secondary identification of the target rock and mineral specimen is performed to verify the initial rock and mineral type, ensuring the accuracy of the ledger dataset. Finally, after verification, a submission and storage instruction is issued to complete the storage process for the target rock and mineral specimens. The system has a high degree of automation in the full lifecycle management of target rock and mineral specimens, which improves the management efficiency of rock and mineral specimens.

[0013] In one implementation, the step of verifying the initial rock and mineral type based on the target image data specifically includes:

[0014] Based on the target image data, determine the three-dimensional modeling data of the target rock and mineral specimen;

[0015] Based on the 3D modeling data and the target image data, the reference rock and mineral type of the target rock and mineral specimen is determined using the rock and mineral type identification model.

[0016] If the reference rock and mineral type is consistent with the initial rock and mineral type, then the initial rock and mineral type is determined to have passed the verification.

[0017] If the reference rock and mineral type is inconsistent with the initial rock and mineral type, then the verification of the initial rock and mineral type is determined to have failed.

[0018] When the verification fails, determining the final rock and mineral type of the target rock and mineral specimen specifically includes:

[0019] If the verification fails, the reference rock and mineral type will be determined as the final rock and mineral type of the target rock and mineral specimen.

[0020] In one embodiment, acquiring the target image data of the target rock and mineral specimen on the turntable specifically includes:

[0021] Identify at least one depression area on the surface of the target rock and mineral specimen and the corresponding maximum depression depth;

[0022] Based on the maximum depression depth, the target speed of the turntable and the target focal length of the imaging device are determined. The greater the maximum depression depth, the more important the image of the depression area is for the identification of the rock and mineral type of the target rock and mineral specimen. The smaller the target speed, the larger the target focal length.

[0023] When the camera captures the recessed area, the preset speed of the turntable is reduced to the target speed, and the preset focal length of the camera is increased to the target focal length, thereby obtaining target image data containing the recessed area.

[0024] In one embodiment, acquiring the target image data of the target rock and mineral specimen on the turntable further includes:

[0025] During the rotation of the turntable, real-time video stream data of the rotating target rock and mineral specimen is acquired through a preset camera;

[0026] Based on the real-time video stream data, it is determined whether there is a target light spot on the surface of the target rock and mineral specimen, and the brightness of the target light spot exceeds a preset brightness threshold;

[0027] If a target light spot exists on the surface of the target rock and mineral specimen, the current encoder angle value of the turntable is obtained, and the optimal observation angle value with the largest target light spot area is determined.

[0028] Based on the angle deviation between the encoder angle value and the optimal observation angle value, the turntable is controlled to rotate to the optimal observation angle value;

[0029] Using a pre-set photographic device, multiple crystal refraction patterns of the target rock and mineral specimen are acquired at the optimal observation angle, and each crystal refraction pattern is determined as the target image data of the target rock and mineral specimen.

[0030] In one implementation, the step of verifying the initial rock and mineral type based on the target image data specifically includes:

[0031] Based on the target image data, the refractive index of the target mineral crystal contained in the target rock and mineral specimen is determined, and the target crystal system to which the target mineral crystal belongs is determined according to the refractive index;

[0032] Based on the target crystal system, the target mineral contained in the target rock and mineral specimen is determined, and multiple easily confused rock and mineral types corresponding to the initial rock and mineral type are determined. The rock and mineral of the easily confused rock and mineral type contains the target mineral. The easily confused rock and mineral type is a rock and mineral type that is easily confused with the initial rock and mineral type.

[0033] Obtain the geological type of the collection location, determine the target genetic environment type of the target rock and mineral specimen based on the geological type, and verify the initial rock and mineral type based on the target genetic environment type and each of the easily confused rock and mineral types.

[0034] In one embodiment, the method further includes:

[0035] A first video stream of the turntable rotating 360 degrees without a specimen is obtained through a preset camera, and a second video stream of the target rock and mineral specimen rotating 360 degrees with the turntable is obtained through a preset camera.

[0036] Perform pixel difference operation between the second image frame in the second video stream and the corresponding first image frame in the first video stream to obtain the image after difference operation. The rotation angle of the turntable under the first image frame is the same as the rotation angle of the turntable under the second image frame.

[0037] Based on the images obtained after the differential operations, determine the overall mask corresponding to the target rock and mineral specimen;

[0038] Based on the overall mask, the edge contour of the target rock and mineral specimen is determined, and based on the edge contour, the weathering score of the target rock and mineral specimen is determined. The higher the weathering score, the higher the degree of weathering of the target rock and mineral specimen.

[0039] Based on the weathering score, the reference genetic environment type of the target rock and mineral specimen is determined. When the reference genetic environment type is consistent with the target genetic environment type, the target genetic environment type is determined to have passed the verification.

[0040] The step of verifying the initial rock and mineral type based on the target formation environment type and each of the easily confused rock and mineral types specifically includes:

[0041] When the target genetic environment type verification passes, the initial rock and mineral type is verified based on the target genetic environment type and each of the easily confused rock and mineral types.

[0042] In one implementation, the step of verifying the initial rock and mineral type based on the target genetic environment type and each of the easily confused rock and mineral types specifically includes:

[0043] Determine the formation coefficient of each of the easily confused rock and mineral types under the target genetic environment type. The larger the formation coefficient, the greater the probability of the formation of the corresponding easily confused rock and mineral type under the target genetic environment type.

[0044] Based on the formation coefficient, determine the risk value of confusion between each of the easily confused rock and mineral types and the initial rock and mineral type;

[0045] The risk values ​​are summed to obtain the overall risk value. If the overall risk value is not greater than the preset risk value threshold, the initial rock and mineral type is deemed to have passed the verification.

[0046] The second aspect of this application provides an intelligent integrated management and control device for rock and mineral specimens, specifically comprising:

[0047] The data acquisition module is used to acquire the initial image data of the target rock and mineral specimen, and to acquire the collection location and collection time of the target rock and mineral specimen. The target rock and mineral specimen is a rock and mineral specimen collected in the field, and the initial image data is the image data of the target rock and mineral specimen collected by the terminal of the on-site rock and mineral collection personnel.

[0048] The type recognition module is used to determine the initial rock and mineral type of the target rock and mineral specimen based on the initial image data and through a preset rock and mineral type recognition model.

[0049] The information management module is used to classify the initial image data, the initial rock and mineral type, the collection location, and the collection time into a ledger dataset of the target rock and mineral specimen. Based on the ledger dataset, a specimen QR code corresponding to the target rock and mineral specimen is generated. The specimen QR code is bound to the ledger dataset. The specimen QR code supports terminal scanning to operate the ledger dataset.

[0050] The image acquisition module is used to transfer the target rock and mineral specimen to a turntable in a preset dark box via a preset conveyor belt after the printed QR code of the specimen is affixed to the target rock and mineral specimen, and to acquire the target image data of the target rock and mineral specimen on the turntable. The target image data is the image data acquired by the target rock and mineral specimen during the 360-degree rotation of the turntable.

[0051] The first storage module is used to verify the initial rock and mineral type based on the target image data, and when the verification is successful, to issue a submission storage instruction for the target rock and mineral specimen.

[0052] The second entry module is used to determine the final rock and mineral type of the target rock and mineral specimen when the verification fails, replace the initial rock and mineral type in the ledger dataset with the final rock and mineral type, and issue a submission entry instruction for the target rock and mineral specimen.

[0053] A third aspect of this application provides a computer-readable storage medium storing a computer program that, when loaded and executed by a processor, performs the steps of the method described in any one of the first aspects.

[0054] A fourth aspect of this application provides an electronic device, specifically comprising:

[0055] A processor, a memory, and a computer program stored in the memory and capable of running on the processor, the processor being configured to load and execute the computer program stored in the memory to cause the electronic device to perform the method as described in any one of the first aspects.

[0056] In summary, this application includes at least one of the following beneficial technical effects: It acquires initial image data collected in real-time by the terminal of the on-site rock and mineral sampling personnel, and based on this initial image data, performs preliminary identification of the rock and mineral type of the target rock and mineral specimen, facilitating subsequent preliminary registration of relevant information. Then, based on the ledger dataset, it generates a specimen QR code bound to detailed information of the target rock and mineral specimen, and affixes a printed copy of the QR code to the surface of the target rock and mineral specimen. This enables real-time operation of the target rock and mineral specimen information through scanning during the entire lifecycle management of the specimen, avoiding manual intervention between stages and improving specimen management efficiency to a certain extent. Furthermore, the cooperation of conveyor belts and turntables allows for more refined image acquisition of the target rock and mineral specimens through automation. Based on the acquired target image data, secondary identification of the target rock and mineral specimen is performed to verify the initial rock and mineral type, ensuring the accuracy of the ledger dataset. Finally, after verification, a submission and storage instruction is issued to complete the storage process for the target rock and mineral specimens. The system has a high degree of automation in the full lifecycle management of target rock and mineral specimens, which improves the management efficiency of rock and mineral specimens. Attached Figure Description

[0057] Figure 1 This is a flowchart illustrating an intelligent integrated management and control method for rock and mineral specimens provided in an embodiment of this application;

[0058] Figure 2This is a schematic diagram illustrating the relationship between key rock and mineral types and key genetic environment types, provided in an embodiment of this application.

[0059] Figure 3 This is a schematic diagram of the structure of an intelligent integrated management and control device for rock and mineral specimens provided in an embodiment of this application;

[0060] Figure 4 This is a schematic diagram of another intelligent integrated management and control device for rock and mineral specimens provided in this application embodiment.

[0061] Explanation of reference numerals in the attached diagram: 11. Data acquisition module; 12. Type recognition module; 13. Information management module; 14. Image acquisition module; 15. First data entry module; 16. Second data entry module; 17. Cause verification module. Detailed Implementation

[0062] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0063] In the description of the embodiments of this application, words such as "exemplarily," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplarily," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplarily," "for example," or "for instance" is intended to present the relevant concepts in a specific manner.

[0064] In the description of the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, B existing alone, or A and B existing simultaneously. Furthermore, unless otherwise stated, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and their variations all mean "including but not limited to," unless otherwise specifically emphasized.

[0065] See Figure 1This application discloses a flowchart illustrating an intelligent integrated management and control method for rock and mineral specimens. This method can be implemented using a computer program or run on an intelligent integrated management and control device for rock and mineral specimens based on the von Neumann architecture. The computer program can be integrated into an application or run as a standalone tool application, specifically including:

[0066] S101: Obtain the initial image data of the target rock and mineral specimen, and obtain the collection location and collection time of the target rock and mineral specimen.

[0067] Specifically, in this embodiment of the application, the target rock and mineral specimen is a rock and mineral specimen collected in the field by on-site rock and mineral collectors, and the initial image data is the image data of the target rock and mineral specimen collected by the on-site rock and mineral collectors' terminal. The terminal can be a smartphone or tablet computer with a camera function.

[0068] The intelligent integrated management and control method for rock and mineral specimens disclosed in this application uses a server as its execution entity. The server communicates wirelessly with the terminal, which has an application related to specimen integrated management and control installed on it. The server is the backend server for this application, which can be an independent physical server or a cluster of multiple physical servers. One implementation scenario is as follows: During on-site rock and mineral collection, personnel collect target rock and mineral specimens and photograph them using a portable terminal to obtain initial image data. This initial image data is then sent to the server, which identifies the rock and mineral type of the specimen based on this data, achieving preliminary identification of the rock and mineral type during the specimen collection stage. Another feasible method for obtaining the collection location and time is as follows: On-site rock and mineral collectors send pre-recorded collection location and time to the server via an application on their terminal. The server then obtains the collection location and time.

[0069] S102: Based on the initial image data, determine the initial rock and mineral type of the target rock and mineral specimen through a preset rock and mineral type identification model.

[0070] Specifically, after acquiring the initial image data, it is preprocessed, including data cleaning, data transformation, and data alignment. The processed image data is then input into a pre-defined rock and mineral type recognition model. Based on the image data of the target rock and mineral specimen, the rock and mineral type is identified to obtain the initial rock and mineral type. The rock and mineral type recognition model is a trained ViT model or a MobileNetV3 model. The training process is briefly described as follows: image data and 3D modeling data of different groups of rock and mineral specimens labeled with the correct rock and mineral type are preprocessed to obtain processed data. Then, all processed data are divided into training, testing, and validation sets according to a pre-defined ratio (e.g., 7:2:1). The model is trained using the divided datasets. During training, the model parameters are tuned using the backpropagation algorithm, continuously minimizing the loss function (e.g., cross-entropy loss) until the model converges, ultimately yielding the rock and mineral type recognition model. In addition, the three-dimensional modeling data of rock and mineral specimens is a set of digital data that can fully describe the spatial geometry, surface texture and structural features of the specimens after three-dimensional reconstruction.

[0071] S103: Assign the initial image data, initial rock and mineral type, collection location and collection time to the ledger dataset of the target rock and mineral specimen, and generate the specimen QR code corresponding to the target rock and mineral specimen based on the ledger dataset.

[0072] Specifically, the initial image data, initial rock and mineral type, collection location, and collection time are defined as the ledger dataset for the target rock and mineral specimen. This dataset is then input into a pre-set QR code generation tool to obtain a QR code corresponding to the target rock and mineral specimen. This establishes a binding relationship between the specimen QR code and the ledger dataset. Personnel can then scan this specimen QR code using a terminal to operate on the ledger dataset, such as viewing, modifying, and deleting information related to the target rock and mineral specimen. The QR code generation tool can be QR Code Monkey.

[0073] S104: After affixing a printed copy of the specimen's QR code to the target rock and mineral specimen, the specimen is transported to a turntable in a pre-set dark box via a pre-set conveyor belt, and the target image data of the target rock and mineral specimen on the turntable is acquired.

[0074] Specifically, after the target rock and mineral specimen is affixed with a printed copy of its QR code and placed on a conveyor belt, the conveyor belt is activated, and the target rock and mineral specimen is transported to a turntable in a pre-set dark box. In this embodiment, the dark box can be understood as a closed device that isolates external stray light interference and precisely controls lighting conditions in the image acquisition scenario of the rock and mineral specimen. The dark box is located at the end of the conveyor belt, and the target rock and mineral specimen is transported to the turntable inside the dark box via the conveyor belt. The dark box includes, but is not limited to, a lighting module (used to provide lighting effects for image data acquisition of the rock and mineral specimen inside the dark box), a turntable, a photography device, and a camera. The photography device adopts a high-speed document scanner or other external photography device with network transmission capabilities. The turntable rotates at a preset speed, and the target rock and mineral specimen is located on the turntable, which can rotate 360 ​​degrees. In this way, the imaging device can capture images of the target rock and mineral specimen from multiple angles. The preset focal length is set as the initial focal length of the imaging device when capturing images of the target rock and mineral specimen, thereby obtaining the target image data of the target rock and mineral specimen on the turntable, that is, the image data of the target rock and mineral specimen collected during the 360-degree rotation of the turntable.

[0075] In other embodiments, a preset lidar is used to acquire three-dimensional point cloud data (including the three-dimensional coordinates of surface feature points of the target rock and mineral specimen). Based on this three-dimensional point cloud data, an ideal outer contour surface of the target rock and mineral specimen is obtained through a spherical fitting method. Then, points with Z coordinates lower than the ideal outer contour surface are selected from all surface feature points. The areas covered by these points are determined as concave regions on the surface of the target rock and mineral specimen. At least one concave region exists. Then, for each surface feature point in the concave region, the Z coordinate of the surface feature point is subtracted from the Z coordinate of the surface feature point to obtain the concave depth of the surface feature point. The maximum value is selected from the concave depths of all surface feature points to determine the maximum concave depth of a single concave region. It should be noted that the concave region is a direct product of the formation of the rock and mineral itself, and its morphological characteristics are clear. The greater the depth, the more prominent the characteristics, the higher the recognizability, and the greater the help in identifying the rock and mineral type.

[0076] Furthermore, based on the maximum depression depth, the target speed of the turntable and the target focal length of the imaging device are determined. The greater the maximum depression depth, the more important the image of the depression area is for identifying the rock and mineral type of the target rock and mineral specimen. The smaller the target speed (the turntable rotates slowly, which facilitates better acquisition of image data of the depression area), the larger the target focal length (which facilitates obtaining clearer and more detailed image data of the depression area). Specifically, the target speed and target focal length can be determined through a preset mapping table. The mapping table includes different depression depth ranges and corresponding turntable speeds and imaging focal lengths, all of which are set based on human experience.

[0077] When acquiring image data of a target rock and mineral specimen that rotates with the turntable, if the imaging device captures a concave area, the preset speed of the turntable is reduced to the target speed, and the preset focal length of the imaging device is increased to the target focal length.

[0078] In one embodiment, during image acquisition of the target rock and mineral specimen as the turntable rotates, real-time video stream data of the rotating target rock and mineral specimen is acquired through a preset camera. Then, each frame of the real-time video stream is converted to grayscale to reduce computation. Based on a preset brightness threshold (e.g., 220), the grayscale image is binarized to obtain a binarized image. Pixels with brightness higher than the brightness threshold are set to white. The white connected regions in the binarized image are analyzed. If the area of ​​the white connected regions is greater than a preset area threshold, then a target light spot is determined to exist on the surface of the target rock and mineral specimen. Further, the current encoder angle value of the turntable is acquired through a preset rotary encoder. For each frame of the image where a light spot is detected, the pixel area (light spot area) of the corresponding white connected region and the angle value of the turntable in that frame are calculated. Based on different angle values ​​and their corresponding light spot areas, a discrete data sequence is formed. Then, through curve fitting, the peak point of the light spot area change is found based on the discrete data sequence. The angle value corresponding to this peak point is the optimal observation angle value.

[0079] The absolute value of the difference between the current encoder angle value and the optimal observation angle value is determined as the angle deviation. Based on the angle deviation, the turntable is controlled to rotate to the optimal observation angle value, thus facilitating the acquisition of clearer and more information-rich crystal refraction images. Finally, the lighting module inside the darkroom is adjusted to switch between different illumination angles, and the target rock and mineral specimen is photographed using a preset imaging device to obtain multiple crystal refraction images. These crystal refraction images are also designated as the target image data of the target rock and mineral specimen. The crystal refraction image can be understood as an image of a clear crystal outline, crystal faces, and cleavage fractures delineated by reflected light.

[0080] S105: Based on the target image data, verify the initial rock and mineral type. If the verification is successful, issue a submission instruction to the database for the target rock and mineral specimen.

[0081] Specifically, since the target image data was acquired during the 360-degree rotation of the target rock and mineral specimen, feature points of each image in the target image data were extracted using SIFT or SURF algorithms. Feature points of adjacent images were matched, and the pixel position offset of feature points under different viewpoints was calculated to infer the spatial coordinates of the feature points. Based on the matching relationship of feature points from multiple viewpoints, the three-dimensional spatial coordinates (X, Y, Z) of each feature point were calculated using the principle of triangulation. The set of three-dimensional coordinates of all feature points formed a three-dimensional point cloud. The density of the point cloud was determined by the shooting angle interval (the smaller the angle, the denser the point cloud and the more detailed the model). The sparse point cloud was densified to fill surface gaps and generate a continuous three-dimensional mesh. The texture of the original two-dimensional image was then applied to the surface of the three-dimensional mesh to finally obtain the three-dimensional modeling data of the target rock and mineral specimen.

[0082] After preprocessing the 3D modeling data and target image data, they are input into the rock and mineral type recognition model to perform secondary recognition of the rock and mineral type of the target rock and mineral specimen, obtaining a reference rock and mineral type for the target rock and mineral specimen. If the reference rock and mineral type is consistent with the initial rock and mineral type, then the initial rock and mineral type verification is determined to have passed; otherwise, if the reference rock and mineral type is inconsistent with the initial rock and mineral type, then the initial rock and mineral type verification is determined to have failed.

[0083] In other embodiments, after the target image data of the target rock and mineral specimen is determined, the refractive index of the target mineral crystal contained in the target rock and mineral specimen is determined based on the crystal refraction diagram in all target image data. One feasible method is to use a preset Michelson interferometer or Fabry-Perot interferometer to determine the refractive index of the target mineral crystal by moving the interference fringes. This is prior art and will not be elaborated here. Next, the crystal system corresponding to the refractive index is determined through a preset crystal system matching table, that is, the target crystal system to which the target mineral crystal belongs. The crystal system matching table includes different refractive indices and their corresponding crystal systems, all of which are based on the experience of rock and mineral experts. Since a mineral crystal can only belong to a specific crystal system, the crystal system directly determines the core physical properties of the mineral and thus becomes a key basis for determining the mineral type. Therefore, the target mineral contained in the target rock and mineral specimen is determined based on the target crystal system. The specific process is as follows: if the target crystal system is isometric, then the color of the target mineral crystal is obtained. If the color is golden yellow, then the target mineral is determined to be pyrite; if the color is lead gray, then the target mineral is determined to be galena, and so on.

[0084] Furthermore, based on the database cache of rock and mineral type identification records, multiple historical rock and mineral types that have been confused with the initial rock and mineral type are obtained. Among all historical rock and mineral types, there may be identical rock and mineral types. The frequency of recurrence of a single historical rock and mineral type is counted. If the frequency exceeds a preset frequency threshold, it indicates that the historical rock and mineral type has a high recurrence frequency, and thus it is identified as a key rock and mineral type. That is, during rock and mineral type identification, at least one historical rock and mineral type that is easily confused with the initial rock and mineral type is identified as a key rock and mineral type. Then, a first weight is determined for each key rock and mineral type. The first weight is the ratio of the frequency of recurrence of a single key rock and mineral type to the sum of the frequencies of recurrence of all key rock and mineral types, representing the likelihood of confusion between the key rock and mineral type and the initial rock and mineral type. For example, consider three key rock and mineral types: a, b, and c. Key rock and mineral type a appears 20 times, key rock and mineral type b appears 60 times, and key rock and mineral type c appears 20 times. Therefore, the first weight of key rock and mineral type a is: 20 times / (20 times + 60 times + 20 times) = 0.2. The problem of confusion between the initial rock and mineral type and the key rock and mineral type can be understood as follows: in rock and mineral type identification, what is actually an initial rock and mineral type may be misidentified as a key rock and mineral type, or vice versa. Furthermore, the rock and mineral type identification record includes the rock and mineral types that the initial rock and mineral type was historically misidentified as, as well as the genetic environment type corresponding to each rock and mineral type.

[0085] Furthermore, from all key rock and mineral types, several easily confused rock and mineral types containing the target mineral were screened out. It should be noted that the minerals contained in the rock and mineral can be understood as the basic units that make up the rock. They are naturally formed, have fixed chemical compositions and crystal structures, and determine the physical and chemical properties of the rock. For example, the rock and mineral type is granite, whose mineral assemblage is quartz + feldspar + mica, where quartz, feldspar, and mica can all be understood as minerals.

[0086] Furthermore, using a pre-set online geological map query tool, the corresponding geological type is determined based on the collection location. Then, based on the geological type, the target genetic environment type of the target rock and mineral specimen is determined. For example, if the geological type is a plate collision orogenic belt, the corresponding target genetic environment type is "slow cooling of magma deep underground," which easily forms granite and gneiss; if the geological type is a mid-ocean ridge rift belt, the corresponding target genetic environment type is "mantle magma upwelling + rapid cooling," which easily forms basalt, etc. It should be noted that the genetic environment can be understood as the sum of the physicochemical conditions and geological background during the formation of rocks and minerals, which determines the core characteristics of rocks and minerals such as mineral composition, structure, and chemical composition.

[0087] Once the target formation environment type is determined, it needs to be verified. One feasible implementation method is as follows: Before the target rock and mineral specimen is conveyed to the turntable by the conveyor belt, the turntable is controlled to rotate 360 ​​degrees. During the rotation, a camera preset in the dark box captures a first video stream of the turntable rotating 360 degrees without a specimen. Then, when the target rock and mineral specimen is conveyed to the turntable, a second video stream of the target rock and mineral specimen rotating 360 degrees with the turntable is captured by the camera. Further, each second image frame in the second video stream is compared with the corresponding first image frame in the first video stream to obtain the corresponding image after the difference operation. This eliminates interference from stains and scratches on the turntable on the edge extraction of the target rock and mineral specimen to a certain extent. The rotation angle of the turntable in the first image frame is the same as the rotation angle of the turntable in the second image frame. Then, the image after the difference operation is globally thresholded, and opening operations (erosion followed by dilation) and closing operations (dilation followed by erosion) are performed sequentially to obtain local masks. These local masks are then spatially aligned and superimposed to obtain the overall mask corresponding to the target rock and mineral specimen. Further, a preset contour extraction algorithm is used to extract the edge contours of the target rock and mineral specimen from the overall mask. The contour extraction algorithm can employ the Canny operator or the Sobel operator. Based on the edge contours, the weathering score of the target rock and mineral specimen is determined. A higher weathering score indicates a higher degree of weathering. One feasible method is to use a preset weathering score model based on the edge contours to determine the weathering score of the target rock and mineral specimen. The weathering score model is a trained support vector machine or random forest. The training process is briefly described as follows: the edge contour information of rock and mineral specimens manually labeled with weathering scores is used as training data, and the training data is divided into training, testing, and validation sets. The model is trained using these datasets until convergence. This is existing technology and will not be elaborated further. The weathering score ranges from 0 to 10.

[0088] Finally, based on the genetic environment mapping table cached in the database, the reference genetic environment type corresponding to the weathering score is determined. The genetic environment mapping table includes the mapping relationship between different weathering score ranges and their corresponding genetic environment types. For example, a weathering score range of 0-2 corresponds to a high-pressure metamorphic environment; a range of 2-4 corresponds to a plate compression environment; a range of 4-6 corresponds to a magmatic intrusion environment, and so on. If the weathering score is within the range of 2-4, then the reference genetic environment type is a plate compression environment. It should be noted that different genetic environment types of rock and mineral specimens result in different weathering resistance and varying degrees of weathering on the rock and mineral surface. Furthermore, if the reference genetic environment type matches the target genetic environment type, then the target genetic environment type is correctly determined, and the verification passes.

[0089] Furthermore, after the target genetic environment type verification is passed, the initial rock and mineral type is verified based on the target genetic environment type and various easily confused rock and mineral types. One feasible implementation method is as follows:

[0090] Based on the aforementioned rock and mineral type identification records, multiple historical genetic environment types for a single key rock and mineral type are obtained. The frequency of recurrence of a single historical genetic environment type is counted across all historical genetic environment types. If the frequency exceeds a preset threshold, the historical genetic environment type is identified as the key genetic environment type corresponding to that key rock and mineral type; that is, the historical genetic environment type that is likely to form the key rock and mineral type. At least one key genetic environment type exists. Next, a second weight is determined for each key genetic environment type corresponding to that key rock and mineral type. The second weight is the ratio of the frequency of recurrence of a single key genetic environment type to the sum of the frequencies of recurrence of all key genetic environment types, representing the probability of the rock and mineral type of that key rock and mineral forming under the corresponding key genetic environment type. For example, the key rock and mineral type 'a' corresponds to key genetic environment types a1, a2, and a3. Key genetic environment type a1 appears 10 times, key genetic environment type a2 appears 30 times, and key genetic environment type a3 appears 60 times. Therefore, the second weight of key genetic environment type a1 is: 10 times / (10 times + 30 times + 60 times) = 0.1. See details. Figure 2 .

[0091] Furthermore, if a target genetic environment type exists among the key genetic environment types corresponding to easily confused rock and mineral types, then the second weight of that target genetic environment type is determined as the formation coefficient; if no target genetic environment type exists, then the formation coefficient is set to 0. The larger the formation coefficient, the greater the probability of formation of the corresponding easily confused rock and mineral type under the target genetic environment type. Then, the first weight of each easily confused rock and mineral type is multiplied by the corresponding formation coefficient to obtain the risk value of confusion between the easily confused rock and mineral type and the initial rock and mineral type. The risk value represents the probability of confusion between the initial rock and mineral type and the easily confused rock and mineral type under the target genetic environment type. Finally, the risk values ​​corresponding to each easily confused rock and mineral type are summed to obtain the overall risk value, which represents the overall probability of misidentification of the initial rock and mineral type. If the overall risk value is not greater than the preset risk value threshold, it means that the initial rock and mineral type is less likely to be confused with each easily confused rock and mineral type, and the overall probability of misidentification is low. This indicates that the initial rock and mineral type is correct, so the initial rock and mineral type verification is confirmed to be passed, and a submission instruction is issued. Conversely, if the overall risk value is greater than the risk value threshold, it means that the overall probability of misidentification of the initial rock and mineral type is higher, so the verification is confirmed to be failed, and the easily confused rock and mineral type corresponding to the highest risk value among the various risk values ​​is determined as the final rock and mineral type of the target rock and mineral specimen.

[0092] S106: If the verification fails, determine the final rock and mineral type of the target rock and mineral specimen, replace the initial rock and mineral type in the ledger data with the final rock and mineral type, and issue a submission instruction for the target rock and mineral specimen.

[0093] Specifically, in this embodiment, when the verification fails, the reference rock and mineral type is determined as the final rock and mineral type. In other embodiments, the easily confused rock and mineral type corresponding to the maximum risk value can also be determined as the final rock and mineral type of the target rock and mineral specimen. Further, the initial rock and mineral type in the ledger dataset is replaced with the final rock and mineral type, and a submission instruction is issued for the target rock and mineral specimen, reminding personnel to submit the target rock and mineral specimen for storage.

[0094] The implementation principle of the intelligent integrated management and control method for rock and mineral specimens in this application embodiment is as follows: Initial image data collected in real time by the terminal of the on-site rock and mineral collection personnel is acquired. Based on the initial image data, the rock and mineral type of the target rock and mineral specimen is preliminarily identified, facilitating the initial registration of relevant information. Then, based on the ledger dataset, a specimen QR code binding with detailed information of the target rock and mineral specimen is generated, and a printed copy of the specimen QR code is affixed to the surface of the target rock and mineral specimen. This enables real-time operation of the target rock and mineral specimen information through scanning during the entire lifecycle management of the specimen, avoiding manual intervention between stages and improving specimen management efficiency to a certain extent. Furthermore, the cooperation of conveyor belts and turntables allows for more refined image acquisition of the target rock and mineral specimens automatically. Based on the acquired target image data, secondary identification of the target rock and mineral specimen is performed to verify the initial rock and mineral type, ensuring the accuracy of the ledger dataset. Finally, after verification, a submission and storage instruction is issued to complete the storage process for the target rock and mineral specimens. The system has a high degree of automation in the full lifecycle management of target rock and mineral specimens, which improves the management efficiency of rock and mineral specimens.

[0095] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0096] Please see Figure 3 This is a schematic diagram of the intelligent integrated management and control device for rock and mineral specimens provided in this embodiment of the application. This intelligent integrated management and control device for rock and mineral specimens can be implemented as all or part of the device through software, hardware, or a combination of both. The device includes a data acquisition module 11, a type identification module 12, an information management module 13, an image acquisition module 14, a first storage module 15, and a second storage module 16.

[0097] The data acquisition module 11 is used to acquire the initial image data of the target rock and mineral specimen, and to acquire the collection location and collection time of the target rock and mineral specimen. The target rock and mineral specimen is a rock and mineral specimen collected in the field, and the initial image data is the image data of the target rock and mineral specimen collected by the terminal of the on-site rock and mineral collection personnel.

[0098] The type recognition module 12 is used to determine the initial rock and mineral type of the target rock and mineral specimen based on the initial image data and through a preset rock and mineral type recognition model.

[0099] Information management module 13 is used to classify the initial image data, initial rock and mineral type, collection location and collection time into the ledger dataset of the target rock and mineral specimen. Based on the ledger dataset, a specimen QR code corresponding to the target rock and mineral specimen is generated. The specimen QR code is bound to the ledger dataset. The specimen QR code supports terminal scanning to operate the ledger dataset.

[0100] The image acquisition module 14 is used to transfer the target rock and mineral specimen to a turntable in a preset dark box via a preset conveyor belt after the printed specimen QR code is affixed to the target rock and mineral specimen, and to acquire the target image data of the target rock and mineral specimen on the turntable. The target image data is the image data acquired by the target rock and mineral specimen during the 360-degree rotation of the turntable.

[0101] The first storage module 15 is used to verify the initial rock and mineral type based on the target image data. When the verification is successful, it issues a submission storage instruction for the target rock and mineral specimen.

[0102] The second entry module 16 is used to determine the final rock and mineral type of the target rock and mineral specimen when the verification fails, replace the initial rock and mineral type in the ledger data with the final rock and mineral type, and issue a submission entry instruction for the target rock and mineral specimen.

[0103] Optionally, the first inbound module 15 is specifically used for:

[0104] Based on the target image data, determine the three-dimensional modeling data of the target rock and mineral specimen;

[0105] Based on the 3D modeling data and target image data, the reference rock and mineral type of the target rock and mineral specimen is determined by the rock and mineral type identification model.

[0106] If the reference rock and mineral type is consistent with the initial rock and mineral type, then the initial rock and mineral type verification is confirmed to be successful.

[0107] If the reference rock and mineral type is inconsistent with the initial rock and mineral type, then the verification of the initial rock and mineral type is determined to have failed.

[0108] Optional, the second inbound module 16 is specifically used for:

[0109] If the verification fails, the reference rock and mineral type will be determined as the final rock and mineral type of the target rock and mineral specimen.

[0110] Optionally, the image acquisition module 14 is specifically used for:

[0111] Identify at least one depression area on the surface of the target rock and mineral specimen and its corresponding maximum depression depth;

[0112] Based on the maximum depression depth, the target speed of the turntable and the target focal length of the imaging device are determined. The greater the maximum depression depth, the more important the image of the depression area is for the identification of the rock and mineral type of the target rock and mineral specimen. The smaller the target speed, the larger the target focal length.

[0113] When the camera captures a concave area, the preset speed of the turntable is reduced to the target speed, and the preset focal length of the camera is increased to the target focal length to obtain target image data containing the concave area.

[0114] Optionally, the image acquisition module 14 is specifically used for:

[0115] During the rotation of the turntable, real-time video stream data of the rotating target rock and mineral specimen is acquired through a pre-set camera;

[0116] Based on real-time video stream data, determine whether there is a target light spot on the surface of the current target rock and mineral specimen, and whether the brightness of the target light spot exceeds the preset brightness threshold;

[0117] If a target light spot exists on the surface of the target rock and mineral specimen, the current encoder angle value of the turntable is obtained, and the optimal observation angle value with the largest target light spot area is determined.

[0118] Based on the angle deviation between the encoder angle value and the optimal observation angle value, the turntable is controlled to rotate to the optimal observation angle value;

[0119] Using a pre-set photographic device, multiple crystal refraction images of the target rock and mineral specimen are acquired at the optimal observation angle, and each crystal refraction image is determined as the target image data of the target rock and mineral specimen.

[0120] Optionally, the first inbound module 15 is specifically used for:

[0121] Based on the target image data, determine the refractive index of the target mineral crystal contained in the target rock and mineral specimen, and determine the target crystal system to which the target mineral crystal belongs based on the refractive index;

[0122] Based on the target crystal system, determine the target mineral contained in the target rock and mineral specimen, and determine multiple easily confused rock and mineral types corresponding to the initial rock and mineral type. The target mineral is contained in the rock and mineral of the easily confused rock and mineral type. The easily confused rock and mineral type is the rock and mineral type that is easy to be confused with the initial rock and mineral type.

[0123] Obtain the geological type of the collection location, determine the target genetic environment type of the target rock and mineral specimen based on the geological type, and verify the initial rock and mineral type based on the target genetic environment type and various easily confused rock and mineral types.

[0124] Optional, such as Figure 4 As shown, the device also includes a cause verification module 17, specifically used for:

[0125] The first video stream is obtained by using a preset camera when the turntable rotates 360 degrees without a specimen, and the second video stream is obtained by using a preset camera when the target rock and mineral specimen rotates 360 degrees with the turntable.

[0126] Perform pixel difference operation between the single second image frame in the second video stream and the corresponding first image frame in the first video stream to obtain the image after difference operation. The rotation angle of the turntable under the first image frame is the same as the rotation angle of the turntable under the second image frame.

[0127] Based on the images obtained from each difference operation, determine the overall mask corresponding to the target rock and mineral specimen;

[0128] Based on the overall mask, determine the edge contour of the target rock and mineral specimen, and based on the edge contour, determine the weathering score of the target rock and mineral specimen. The higher the weathering score, the higher the degree of weathering of the target rock and mineral specimen.

[0129] Based on the weathering score, the reference genetic environment type of the target rock and mineral specimen is determined. When the reference genetic environment type is consistent with the target genetic environment type, the target genetic environment type is deemed to have passed the verification.

[0130] Optionally, the first inbound module 15 is specifically used for:

[0131] Determine the formation coefficient of each easily confused rock and mineral type under the target genetic environment type. The larger the formation coefficient, the greater the probability of the formation of the corresponding easily confused rock and mineral type under the target genetic environment type.

[0132] Based on the formation coefficient, determine the risk value of confusion between each easily confused rock and mineral type and the initial rock and mineral type;

[0133] The risk values ​​are summed to obtain the overall risk value. If the overall risk value is not greater than the preset risk value threshold, the initial rock and mineral type is deemed to have passed the verification.

[0134] It should be noted that the above-described integrated intelligent management and control device for rock and mineral specimens, when executing the integrated intelligent management and control method for rock and mineral specimens, is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. Furthermore, the integrated intelligent management and control device for rock and mineral specimens and the integrated intelligent management and control method embodiment provided in the above embodiments belong to the same concept, and their implementation process is detailed in the method embodiment, which will not be repeated here.

[0135] This application also discloses a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the intelligent integrated management and control method for rock and mineral specimens described in the above embodiments.

[0136] The computer program can be stored in a computer-readable medium. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or certain middleware. The computer-readable medium includes any entity or device capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the computer-readable medium includes, but is not limited to, the above-mentioned components.

[0137] The above-described intelligent integrated management and control method for rock and mineral specimens is stored in the computer-readable storage medium and loaded and executed on the processor to facilitate the storage and application of the above method.

[0138] This application also discloses an electronic device in which a computer program is stored in a computer-readable storage medium. When the computer program is loaded and executed by a processor, it realizes the above-mentioned intelligent integrated management and control method for rock and mineral specimens.

[0139] The electronic device can be a desktop computer, a laptop computer, or a cloud server, and includes, but is not limited to, a processor and a memory. For example, the electronic device may also include input / output devices, network access devices, and buses.

[0140] The processor can be a central processing unit (CPU). Of course, depending on the actual use, it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc., and this application does not limit it.

[0141] The memory can be an internal storage unit of an electronic device, such as a hard disk or RAM, or an external storage device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD), or flash memory card (FC) equipped on the electronic device. Furthermore, the memory can be a combination of an internal storage unit and an external storage device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or will be output. This application does not limit this.

[0142] In this electronic device, the intelligent integrated management and control method for rock and mineral specimens described in the above embodiment is stored in the memory of the electronic device and loaded and executed on the processor of the electronic device for convenient use.

[0143] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for intelligent integrated management and control of rock and mineral specimens, characterized in that, The method includes: Acquire initial image data of the target rock and mineral specimen, and acquire the collection location and collection time of the target rock and mineral specimen. The target rock and mineral specimen is a rock and mineral specimen collected in the field, and the initial image data is image data of the target rock and mineral specimen collected by the terminal of the on-site rock and mineral collection personnel. Based on the initial image data, the initial rock and mineral type of the target rock and mineral specimen is determined by a preset rock and mineral type recognition model; The initial image data, the initial rock and mineral type, the collection location, and the collection time are classified into a ledger dataset for the target rock and mineral specimen. Based on the ledger dataset, a specimen QR code corresponding to the target rock and mineral specimen is generated. The specimen QR code is bound to the ledger dataset. The specimen QR code allows the terminal to scan and operate on the ledger dataset. After the printed QR code of the target rock and mineral specimen is affixed to the specimen, the specimen is conveyed to a turntable in a pre-set dark box via a pre-set conveyor belt. Target image data of the specimen on the turntable is acquired, including: identifying at least one recessed area on the surface of the target rock and mineral specimen and its corresponding maximum recessed depth; determining the target speed of the turntable and the target focal length of the imaging device based on the maximum recessed depth, wherein the greater the maximum recessed depth, the more important the image of the recessed area is for identifying the rock and mineral type of the target specimen; and the smaller the target speed, the larger the target focal length; when the imaging device captures the recessed area, the pre-set speed of the turntable is reduced to the target speed, and the pre-set focal length of the imaging device is increased to the target focal length, resulting in target image data containing the recessed area. The target image data is the image data collected during the 360-degree rotation of the target rock and mineral specimen along with the turntable. Based on the target image data, the initial rock and mineral type is verified. When the verification is successful, a submission and storage instruction is issued for the target rock and mineral specimen. If the verification fails, the final rock and mineral type of the target rock and mineral specimen is determined, the initial rock and mineral type in the ledger dataset is replaced with the final rock and mineral type, and a submission instruction is issued for the target rock and mineral specimen.

2. The intelligent integrated management and control method for rock and mineral specimens according to claim 1, characterized in that, The verification of the initial rock and mineral type based on the target image data specifically includes: Based on the target image data, determine the three-dimensional modeling data of the target rock and mineral specimen; Based on the 3D modeling data and the target image data, the reference rock and mineral type of the target rock and mineral specimen is determined using the rock and mineral type identification model. If the reference rock and mineral type is consistent with the initial rock and mineral type, then the initial rock and mineral type is determined to have passed the verification. If the reference rock and mineral type is inconsistent with the initial rock and mineral type, then the verification of the initial rock and mineral type is determined to have failed. When the verification fails, determining the final rock and mineral type of the target rock and mineral specimen specifically includes: If the verification fails, the reference rock and mineral type will be determined as the final rock and mineral type of the target rock and mineral specimen.

3. The intelligent integrated management and control method for rock and mineral specimens according to claim 1, characterized in that, The acquisition of target image data of the target rock and mineral specimen on the turntable specifically includes: During the rotation of the turntable, real-time video stream data of the rotating target rock and mineral specimen is acquired through a preset camera; Based on the real-time video stream data, it is determined whether there is a target light spot on the surface of the target rock and mineral specimen, and the brightness of the target light spot exceeds a preset brightness threshold; If a target light spot exists on the surface of the target rock and mineral specimen, the current encoder angle value of the turntable is obtained, and the optimal observation angle value with the largest target light spot area is determined. Based on the angle deviation between the encoder angle value and the optimal observation angle value, the turntable is controlled to rotate to the optimal observation angle value; Using a pre-set photographic device, multiple crystal refraction patterns of the target rock and mineral specimen are acquired at the optimal observation angle, and each crystal refraction pattern is determined as the target image data of the target rock and mineral specimen.

4. The intelligent integrated management and control method for rock and mineral specimens according to claim 3, characterized in that, The verification of the initial rock and mineral type based on the target image data specifically includes: Based on the target image data, the refractive index of the target mineral crystal contained in the target rock and mineral specimen is determined, and the target crystal system to which the target mineral crystal belongs is determined according to the refractive index; Based on the target crystal system, the target mineral contained in the target rock and mineral specimen is determined, and multiple easily confused rock and mineral types corresponding to the initial rock and mineral type are determined. The rock and mineral of the easily confused rock and mineral type contains the target mineral. The easily confused rock and mineral type is a rock and mineral type that is easily confused with the initial rock and mineral type. Obtain the geological type of the collection location, determine the target genetic environment type of the target rock and mineral specimen based on the geological type, and verify the initial rock and mineral type based on the target genetic environment type and each of the easily confused rock and mineral types.

5. The intelligent integrated management and control method for rock and mineral specimens according to claim 4, characterized in that, The method further includes: A first video stream of the turntable rotating 360 degrees without a specimen is obtained through a preset camera, and a second video stream of the target rock and mineral specimen rotating 360 degrees with the turntable is obtained through a preset camera. Perform pixel difference operation between the second image frame in the second video stream and the corresponding first image frame in the first video stream to obtain the image after difference operation. The rotation angle of the turntable under the first image frame is the same as the rotation angle of the turntable under the second image frame. Based on the images obtained after the differential operations, determine the overall mask corresponding to the target rock and mineral specimen; Based on the overall mask, the edge contour of the target rock and mineral specimen is determined, and based on the edge contour, the weathering score of the target rock and mineral specimen is determined. The higher the weathering score, the higher the degree of weathering of the target rock and mineral specimen. Based on the weathering score, the reference genetic environment type of the target rock and mineral specimen is determined. When the reference genetic environment type is consistent with the target genetic environment type, the target genetic environment type is determined to have passed the verification. The step of verifying the initial rock and mineral type based on the target formation environment type and each of the easily confused rock and mineral types specifically includes: When the target genetic environment type verification passes, the initial rock and mineral type is verified based on the target genetic environment type and each of the easily confused rock and mineral types.

6. The intelligent integrated management and control method for rock and mineral specimens according to claim 4, characterized in that, The step of verifying the initial rock and mineral type based on the target formation environment type and each of the easily confused rock and mineral types specifically includes: Determine the formation coefficient of each of the easily confused rock and mineral types under the target genetic environment type. The larger the formation coefficient, the greater the probability of the formation of the corresponding easily confused rock and mineral type under the target genetic environment type. Based on the formation coefficient, determine the risk value of confusion between each of the easily confused rock and mineral types and the initial rock and mineral type; The risk values ​​are summed to obtain the overall risk value. If the overall risk value is not greater than the preset risk value threshold, the initial rock and mineral type is deemed to have passed the verification.

7. A smart integrated management and control device for rock and mineral specimens, used to implement the smart integrated management and control method for rock and mineral specimens as described in any one of claims 1 to 6, characterized in that, include: The data acquisition module (11) is used to acquire the initial image data of the target rock and mineral specimen, and to acquire the collection location and collection time of the target rock and mineral specimen. The target rock and mineral specimen is a rock and mineral specimen collected in the field, and the initial image data is the image data of the target rock and mineral specimen collected by the terminal of the on-site rock and mineral collection personnel. The type recognition module (12) is used to determine the initial rock and mineral type of the target rock and mineral specimen based on the initial image data and through a preset rock and mineral type recognition model; The information management module (13) is used to classify the initial image data, the initial rock and mineral type, the collection location and the collection time into the ledger dataset of the target rock and mineral specimen, and generate a specimen QR code corresponding to the target rock and mineral specimen based on the ledger dataset. The specimen QR code is bound to the ledger dataset, and the specimen QR code supports terminal scanning to operate the ledger dataset. The image acquisition module (14) is used to transfer the target rock and mineral specimen to a turntable in a preset dark box via a preset conveyor belt after the printed QR code of the specimen is affixed to the target rock and mineral specimen, and to acquire the target image data of the target rock and mineral specimen on the turntable. The target image data is the image data acquired by the target rock and mineral specimen during the 360-degree rotation of the turntable. The first storage module (15) is used to verify the initial rock and mineral type based on the target image data, and when the verification is passed, to issue a submission storage instruction for the target rock and mineral specimen. The second entry module (16) is used to determine the final rock and mineral type of the target rock and mineral specimen when the verification fails, replace the initial rock and mineral type in the ledger dataset with the final rock and mineral type, and issue a submission entry instruction for the target rock and mineral specimen.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by the processor, it implements the method of any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor loads and executes the computer program, it implements the method of any one of claims 1-6.

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