Intelligent core box and core data automatic analysis method

Abstract

The application discloses a kind of intelligent core box and core data automatic analysis method, visual imaging module, ultrasonic measuring module and machine vision processor, AI operation processor are embedded in traditional core box, each power module is powered by mobile power supply, image data acquisition of core, ultrasonic detection data acquisition are completed in core box, and according to built-in machine vision processing system and AI operation processing system, the data obtained are analyzed and calculated in real time, the occurrence plane control parameter of core, mineral content, weathering degree, RQD value and other data are quickly obtained, so as to improve the utilization turnover rate of core box, also reduce the loss rate of core box due to long-distance transport, greatly reduce the problem that core data standard is not unified, data accuracy is poor, data acquisition is not timely due to artificial naked-eye observation, paper and pen record of on-site exploration personnel.

Description

Technical Field

[0001] This invention relates to the field of geological exploration technology, and in particular to an intelligent core box and an automatic core data analysis method. Background Technology

[0002] Core boxes are containers used to store rock cores extracted during drilling. Currently, most core boxes on the market are made of materials such as wood, aluminum alloy, and plastic. They are used to place the exploration cores in the order of stratigraphic layers, facilitating observation, logging, transportation, and storage by geologists. However, their function is singular and has the following drawbacks:

[0003] First, existing core boxes, after storing exploration core samples, need to be transported to designated storage warehouses before further processing can proceed. For linear projects such as highways, railways, and power lines, the transportation of exploration core samples involves long distances, high energy consumption, and significant investment of manpower and resources. Furthermore, the condition of road conditions and transportation equipment can easily cause damage to the core samples or cause them to lose their original state, resulting in inaccurate retained samples.

[0004] Secondly, for linear engineering projects such as highways, railways, and power lines, the number of survey sites is numerous and the workload is large. Furthermore, the initial investment in core boxes is enormous due to the dispersed nature of these sites and the constraints of simultaneous work. However, because core boxes themselves lack the conditions for further core testing and recording, their cycle time is long and their utilization rate is poor. In addition, the limited material and structural strength of existing core boxes make them highly susceptible to damage during storage and transportation, further hindering recycling and increasing consumption. This contradicts the current principles of resource conservation and environmental protection.

[0005] Furthermore, current core sampling, storage, and recording methods all rely on manual operation, visual observation, and paper-and-pen records, with a low level of electronic information technology. Manual recording of core data is also susceptible to human error, such as the professional competence of the recorders, leading to inconsistent data collection standards and insufficient accuracy. Additionally, for emergency rescue projects involving lifeline infrastructure such as roads and power lines, core testing data collection still requires the core containers to be transported from the site to the laboratory, resulting in poor timeliness and failing to meet the need for timely provision of basic geological data for emergency rescue design. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent core box and a method for automatically analyzing core data using the intelligent core box, so as to solve the problems of high wear and low reuse rate of existing core boxes, as well as the problems of untimely acquisition of core data, reliance on the professional quality of the recorders, and poor data accuracy.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] The intelligent core box of the present invention includes an upper box and a lower box, which are movably connected on one side. The upper box is characterized in that: the upper box is provided with a high-transparency screen, a visual imaging module, a transmission module, and a power module; the power module is located at the central axis of the upper box, and drives the visual imaging module to rotate along the central axis through the transmission module for collecting image data of the core.

[0009] The lower housing is equipped with an ultrasonic measurement module, a measurement data processing module, a data storage module, a data transmission and reception module, and a control module.

[0010] The ultrasonic measurement module includes an ultrasonic generator, a detector, and a processing host, and is used to perform ultrasonic testing on rock cores.

[0011] The measurement data processing module includes a machine vision processor, an AI computing processor, and supporting circuitry, used to analyze core characteristics and indicators.

[0012] The data storage module is used to store the analysis results of the measurement data processing module and related data standards;

[0013] The data sending and receiving module is used to send the analysis results to external devices;

[0014] The control module includes several function keys and indicator lights, used to control the opening and closing of each module of the core box and to display the operating status of the core box.

[0015] Furthermore, the visual imaging module rotates 180 degrees along the central axis.

[0016] Furthermore, a core tray is provided inside the lower housing. Grooves are provided on both sides of the core tray, and track grooves are provided on the outer side of the grooves. The core tray is used to place the core. An ultrasonic measuring point guide caliper is installed in the track groove. The ultrasonic measuring point guide caliper is used to fix the ultrasonic measuring point guide. The transmitting and receiving contacts of the ultrasonic measuring point guide are located in the grooves and are higher than the lowest point of the core tray.

[0017] Furthermore, a core alignment scale is provided on the track groove to determine the placement position of the core and the positions of the transmitting and receiving contacts of the ultrasonic measuring point guide plate.

[0018] Furthermore, the machine vision processor uses OpenCV's blob analysis to examine the bedding and joint lines in the core image data acquired by the vision imaging module, establishes a cylindrical coordinate system for the plane containing the joint lines and bedding, extracts the coordinates of any three points, and determines the core attitude plane control parameters.

[0019] Furthermore, the machine vision processor converts the core image data acquired by the vision imaging module into the HSV color space, and determines the core mineral content by performing feature comparison analysis with the mineral component HSV color space in the data storage module.

[0020] Furthermore, the AI ​​processing processor includes a convolutional neural network system based on a support vector machine, which performs blob analysis on the ultrasonic detection data obtained by the ultrasonic measurement module to complete the core column length statistics and RQD value calculation; and analyzes the core weathering degree in conjunction with the relationship between wave velocity and weathering degree in the data storage module.

[0021] Furthermore, the intelligent rock core box is powered by a mobile power supply.

[0022] The automatic core data analysis method of the intelligent core box described in this invention specifically includes the following steps:

[0023] S1, place the lower box on a flat surface, and flip the upper box along the movable connection direction between the upper and lower boxes to open the intelligent core box;

[0024] S2. Place the core sample horizontally and radially north-facing, according to the sequence of advance, bottom layer, and depth, and into the intelligent core box, referring to the core alignment scale.

[0025] S3, push the ultrasonic measuring point guide caliper along the track groove to move the ultrasonic measuring point guide to the middle of the rock core, so that the transmitting contact and receiving contact of the ultrasonic measuring point guide correspond to the same value on the rock core aiming scale.

[0026] S4, remove the rock core, apply grease to the transmitting and receiving contacts, put the rock core back in its original position, and turn on the ultrasonic measuring point guide plate connection switch;

[0027] S5, turn off the intelligent core box and automatically perform a self-test of the intelligent core box;

[0028] S6, activate the visual imaging module to acquire core image data;

[0029] S7, the measurement data processing module uses OpenCV's blob analysis to examine the bedding and joint lines in the core image data based on the acquired core image data, establishes a cylindrical coordinate system for the plane where the joint lines and bedding are located, extracts the coordinates of any three points, and determines the core attitude plane control parameters.

[0030] S8, the measurement data processing module converts the core image data into the HSV color space, and determines the core mineral content by comparing and analyzing the features with the mineral component HSV color space in the data storage module.

[0031] S9, activate the ultrasonic measurement module to obtain ultrasonic detection data from the rock core;

[0032] S10, using the convolutional neural network system of the support vector machine in the AI ​​computing processor, perform blob analysis on the ultrasonic detection data to complete the core column length statistics and RQD value calculation; and combine the relationship between wave velocity and weathering degree in the data storage module to analyze the weathering degree of the core.

[0033] S11 transmits the automatically analyzed core data to an external device for review and verification, and then uploads it to the cloud platform for storage.

[0034] This invention represents a creative improvement on traditional core boxes. Its advantages lie in embedding a visual imaging module, an ultrasonic measurement module, a machine vision processor, and an AI processing processor into the traditional core box. Power is supplied to each module via a mobile power supply. Image data acquisition and ultrasonic detection data acquisition from the core are completed within the core box. Based on the built-in machine vision and AI processing systems, the acquired data is analyzed and calculated in real time to quickly obtain data such as the core's attitude plane control parameters, mineral content, weathering degree, and RQD value. Because this invention enables rapid on-site data acquisition and analysis of exploration cores, it improves the utilization rate of the core box and reduces the loss rate caused by long-distance transportation. Furthermore, leveraging computer technology, the intelligent core box provided by this invention significantly reduces the problems of inconsistent core data standards, poor data accuracy, and untimely data acquisition caused by manual visual observation and paper-and-pen recording by on-site exploration personnel. This invention is highly practical, easy to use, and accurate, greatly reducing the workload of on-site exploration personnel and improving the accuracy and digitization level of on-site recording. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the intelligent rock core box described in this invention.

[0036] Figure 2 This is a top view of the upper box of the intelligent rock core box described in this invention.

[0037] Figure 3 yes Figure 2 AA sectional view.

[0038] Figure 4 This is a top view of the lower chamber of the intelligent rock core box described in this invention.

[0039] Figure 5 yes Figure 2 BB cross-sectional view.

[0040] Figure 6 This is a schematic diagram of the cylindrical three-dimensional coordinate system described in this invention.

[0041] Figure 7 This is a schematic diagram of the visual plane coordinate system of the present invention.

[0042] Figure 8 This is a schematic diagram of the intelligent core box control module described in this invention.

[0043] Figure 9 This is a flowchart of the automatic core data analysis method described in this invention. Detailed Implementation

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0045] like Figure 1 As shown, the intelligent rock core box of the present invention includes an upper box body 1 and a lower box body 2. The rear sides of the upper and lower box bodies are movably connected by connecting components 3 such as hinges, bolts, and latches. After the upper and lower box bodies are closed, a hollow, complete box structure is formed.

[0046] Among them, such as Figure 2 , Figure 3 As shown, a high-transparency screen 1.1 is installed on the upper surface of the upper housing 1, allowing a view of the interior of the housing. Power modules 1.2, such as motors, are installed on the left and right surfaces of the upper housing 1 along its central axis. These two motors operate synchronously. Each motor is connected to a vision imaging module 1.4 via a transmission module 1.3, such as a drive shaft. When the two motors operate synchronously, they drive the vision imaging module 1.4 to rotate 180 degrees along the central axis of the upper housing 1 via the drive shaft, thus acquiring image data from the rock core.

[0047] During use, when the rock core is placed in the intelligent rock core box and the visual imaging module 1.4 is activated, the synchronous motors on both sides of the intelligent rock core box drive the visual imaging module 1.4 to slowly rotate 180 degrees at a constant speed via the drive shaft, taking pictures of the rock core and forming image data of the rock core. After the picture is taken, the synchronous motors on both sides drive the visual imaging module 1.4 to rotate in the opposite direction via the drive shaft, so that the visual imaging module 1.4 returns to its initial position, waiting for the next acquisition.

[0048] Meanwhile, the intelligent rock core box shown in this invention is powered by a mobile power supply, and a power interface or a reserved battery installation position can be set on the upper box 1 or the lower box 2. For example, a battery module can be set on the right side of the upper box 1 to power all the power modules of the entire intelligent rock core box. The circuits of each power module can be laid out along the upper box 1 or the lower box 2 as appropriate.

[0049] like Figure 4 , Figure 5 As shown, the lower housing 2 of this invention is equipped with a core tray 2.1. Grooves 2.2 are respectively provided on both sides of the core tray 2.1, and track grooves 2.3 are provided on the outer side of the grooves 2.2. The core tray 2.1 is used to place the core. An ultrasonic measuring point guide caliper 2.6 is installed in the track groove 2.3 and can slide along the track groove. The ultrasonic measuring point guide caliper 2.6 is used to fix the ultrasonic measuring point guide 2.5. The transmitting contact 2.5.1 and receiving contact 2.5.2 of the ultrasonic measuring point guide 2.5 are located in the groove 2.2 and are higher than the lowest point of the core tray 2.1, allowing them to contact the core. Simultaneously, a core alignment scale 2.4 is provided on the track groove 2.3 to determine the placement position of the core and the positions of the transmitting contact 2.5.1 and receiving contact 2.5.2 of the ultrasonic measuring point guide 2.5.

[0050] In addition, the left side 2.7 of the lower housing 2 of this invention is also provided with a data storage module and a data transmission and reception module, and the right side 2.8 is also provided with an ultrasonic measurement module, a measurement data processing module and a control module;

[0051] The data storage module is used to store the analysis results of the measurement data processing module and related data standards, such as the relationship between wave velocity and weathering degree, and the HSV color space of mineral components.

[0052] The data sending and receiving module is used to send the analysis results to external devices, such as mobile phones, tablets, other exploration software platforms, cloud storage platforms, etc.

[0053] The ultrasonic measurement module includes an ultrasonic generator, a detector, and a processing unit, used for ultrasonic testing of rock cores. The ultrasonic generator is connected via wires to the transmitting contact 2.5.1 and receiving contact 2.5.2 on the ultrasonic measuring point guide plate 2.5. The transmitting electrode of the ultrasonic generator is connected to the transmitting contact 2.5.1, and the receiving electrode is connected to the receiving contact 2.5.2. In use, after the rock core is placed in the intelligent rock core box, the ultrasonic measuring point guide plate caliper 2.6 is first pushed along the track groove 2.3 to move the ultrasonic measuring point guide plate 2.5 to the center of the rock core, aligning the transmitting contact 2.5.1 and receiving contact 2.5.2 of the same ultrasonic measuring point guide plate 2.5 with the same value on the rock core alignment scale 2.4. Then, remove the rock core and apply grease to the transmitting contact 2.5.1 and receiving contact 2.5.2 as an excitation medium. Replace the rock core in its original position, ensuring that the transmitting contact 2.5.1 and receiving contact 2.5.2 of the ultrasonic measuring point guide 2.5 located in the groove 2.2 can contact the rock core. Next, turn on the switch connecting the ultrasonic generator to the ultrasonic measuring point guide 2.5; turn off the intelligent rock core box; start the ultrasonic measurement module; and the ultrasonic detection data of the rock core can be obtained through the detector.

[0054] The measurement data processing module includes a machine vision processor, an AI computing processor, and supporting circuitry, used to analyze core characteristics and indicators. When the measurement data processing module acquires core image data from the vision imaging module, it activates the machine vision processor to analyze and examine the bedding and joint lines in the core image data using OpenCV's blob analysis, establishing a three-dimensional coordinate system for the cylindrical surfaces containing the joint lines and bedding. For example... Figure 6 As shown, a three-dimensional coordinate system is established with the center of the exploration core as the origin and the z-axis along the core length direction. The coordinates of any three points A, B, and C are then extracted to determine the core's attitude plane control parameters, and the dip δ and dip angle θ of the bedding and joint attitudes are calculated.

[0055] Specifically, the three-dimensional coordinates of points A, B, and C are obtained through the planar coordinate system of the visual image, and then the values ​​of the inclination δ and tilt angle θ are calculated according to the following formula.

[0056] like Figure 7 As shown, on the plane formed by points A, B, and C along the bedding and joint lines, a visual plane coordinate system with the x and z axes is established with the center of the exploration core as the origin. This allows us to intuitively obtain the coordinates of point A (l1, z1), point B (l2, z2), and point C (l3, z3). Here, z1, z2, and z3 correspond to the Z-axis coordinates of points A, B, and C in the cylindrical three-dimensional coordinate system, respectively. Using the coordinate transformation formula, the angle φ between points A, B, and C and the x-axis of the cylindrical three-dimensional coordinate system can be calculated. A positive φ value indicates an acute angle, and a negative φ value indicates an obtuse angle. The coordinate transformation formula is as follows:

[0057]

[0058] Where l is the x-axis coordinate of the point in the visual plane coordinate system.

[0059] The three-dimensional coordinates of points A, B, and C can be obtained from the above formula: A(rcosφ1,rsinφ1,z1), B(rcosφ2,rsinφ2,z2), and C(rcosφ3,rsinφ3,z3). Here, r is the radius of the core column.

[0060] The formula for calculating the dip angle θ of the attitude of bedding and joints is as follows:

[0061] The values ​​of dip δ and dip angle θ are calculated using the following formulas:

[0062] θ = arccos(S' / S)

[0063] S'=1 / 2[(rcosφ1 rsinφ2-rcosφ2 rsinφ1)+ (rcosφ2 rsinφ3-rcosφ3rsinφ2) +(rcosφ3 rsinφ1-rcosφ1 rsinφ3)]

[0064]

[0065] Where i, j, and k are imaginary units.

[0066] The formula for calculating the dip δ of bedding and joint orientation is as follows:

[0067] By finding the equation of the normal to the plane passing through points A, B, and C, we can derive the unit normal vector OP = (x, y, z) of the normal direction. We define the normal vector from the inside out as positive, and vice versa. Let be the angle between the projection of the normal vector onto the horizontal plane and the y-axis. Then we have the following relationship:

[0068]

[0069] Based on the operating settings of the core sample oriented due north and directly upward, the dip δ is:

[0070] δ=arccos (x > 0, y > 0)

[0071] δ=360°-arccos (x≤0, y>0)

[0072] δ=180°-arccos (x>0,y≤0)

[0073] δ=180°+arccos (x≤0, y≤0)

[0074] Meanwhile, the machine vision processor can also convert the core image data acquired by the vision imaging module into the HSV color space, and determine the mineral content of the core by comparing and analyzing the features with the HSV color space of mineral components in the data storage module.

[0075] When the measurement data processing module acquires the ultrasonic detection data of the rock core, it will activate the AI ​​computing processor and use the convolutional neural network system of the support vector machine to perform blob analysis on the ultrasonic detection data obtained by the ultrasonic measurement module, complete the rock core column length statistics and RQD value calculation; and combine the relationship between wave velocity and weathering degree in the data storage module to analyze the rock core weathering degree.

[0076] Finally, as Figure 8 The diagram shows the control module. The control module includes several function keys and indicator lights, used to control the opening and closing of each module of the core box and to display the operating status of the core box. Specifically, in this embodiment, the control module includes six function keys and three status indicator lights: power, self-test, vision, wave speed, analysis, and transmission. The power key controls the power on / off of the entire intelligent core box. The self-test function initiates the self-test program of the intelligent core box. The vision function activates the visual imaging module of the intelligent core box to acquire core image data. The wave speed function activates the ultrasonic measurement module of the intelligent core box to acquire ultrasonic detection data from the core. The analysis function activates the measurement data processing module of the intelligent core box to analyze and process the core image data and ultrasonic detection data to obtain the core column length, RQD value, weathering degree, mineral content, and attitude plane control parameters, etc. The transmission function activates the data sending and receiving module of the intelligent core box to transmit the analytical data of the surveyed core to external devices such as mobile phones and tablets, and can also receive updates to the internally stored data from external devices.

[0077] The indicator lights include a power indicator, a running status start indicator, and a running status end indicator, with yellow lights indicating the running status and green lights indicating the running status end.

[0078] like Figure 9 As shown, the automatic core data analysis method based on the above-mentioned intelligent core box specifically includes the following steps:

[0079] S1, Place the core box

[0080] Place the lower box on a flat surface, and flip the upper box along the movable connection direction between the upper and lower boxes to open the intelligent rock core box;

[0081] S2, Place the rock core

[0082] Place the core sample horizontally along the axis and with the radial direction facing due north and directly upward, according to the footage, stratigraphic sequence, and depth, and in the intelligent core box by referring to the core alignment scale.

[0083] S3, Ultrasonic measuring point guide plate alignment

[0084] Push the ultrasonic measuring point guide caliper along the track groove to move the ultrasonic measuring point guide to the middle of the rock core, so that the transmitting and receiving contacts of the ultrasonic measuring point guide correspond to the same value on the rock core aiming scale.

[0085] S4, remove the rock core, apply grease to the transmitting and receiving contacts, put the rock core back in its original position, and turn on the ultrasonic measuring point guide plate connection switch;

[0086] S5, Core Box Adjustment

[0087] Close the intelligent core box, turn on the power button, press the self-test function button, and start the intelligent core box self-test.

[0088] S6, Core imaging

[0089] The core box self-test is normal, and the green status indicator light on the control panel is on, indicating that the self-test is complete. Then press the "Vision" function key to start the vision imaging module and begin core imaging. The yellow status indicator light will illuminate, indicating that the intelligent core box is currently in operation.

[0090] At this point, the synchronous motors on both sides of the intelligent core box drive the visual imaging module to slowly rotate 180 degrees at a constant speed via the drive shaft to take pictures of the core and acquire image data. After the picture is taken, the synchronous motors on both sides drive the visual imaging module to rotate in the opposite direction via the drive shaft, so that the visual imaging module returns to its initial position and waits for the next acquisition. At this time, the yellow indicator light goes out and the green light comes on, indicating that the acquisition is over.

[0091] S7, Machine Vision Module Analysis Record

[0092] Press the "Analyze" function key, the yellow indicator light will illuminate and the green light will turn off. The measurement data processing module will start the machine vision processor based on the acquired core image data. Through OpenCV blob analysis, it will examine the bedding and joint lines in the core image data, establish a three-dimensional coordinate system for the cylindrical surfaces where the joint lines and bedding are located, extract the coordinates of any three points, and determine the core attitude plane control parameters.

[0093] S8, the machine vision processor in the measurement data processing module also converts the core image data into the HSV color space, and determines the core mineral content by comparing and analyzing the features with the mineral composition HSV color space in the data storage module; after saving the data, the yellow indicator light goes out and the green light turns on.

[0094] S9, Ultrasonic Measurement

[0095] Press the "Wave Speed" function key to start the ultrasonic measurement module. The running status indicator light will illuminate yellow and turn off green. The ultrasonic measurement module performs ultrasonic measurements on the rock core according to the scale values ​​and the pairs of transmitting and receiving contacts on the ultrasonic measuring point guide plates connected to the rock core. The measurement data of each ultrasonic measuring point guide plate is recorded according to the guide plate number, and the records are stored. After obtaining the ultrasonic detection data of the rock core, the running status indicator light will turn off yellow and illuminate green.

[0096] S10, Core Information AI Analysis

[0097] Press the "Analyze" function key; the yellow indicator light will illuminate, and the green light will turn off. The measurement data processing module, based on the ultrasonic testing data from the core, uses the convolutional neural network system of the support vector machine in the AI ​​processing unit to name each core block and verify the ultrasonic measurement values ​​using the naming. It then performs blob analysis on the ultrasonic testing data, completing core column length statistics and RQD value calculation. Furthermore, it analyzes the core weathering degree in conjunction with the relationship between wave velocity and weathering degree in the data storage module. Simultaneously, it records and stores the core information for this cycle according to the ultrasonic measuring point guide plate number. Once storage is complete, the yellow indicator light will turn off, and the green light will illuminate.

[0098] S11, Core Data and Transmission

[0099] Press the "Transfer" function button. The yellow indicator light will illuminate, and the green light will turn off. The automatically analyzed core data will be transferred to an external device for review and verification before being uploaded to the cloud platform for storage. Once the transfer is complete, the yellow indicator light will turn off, and the green light will illuminate.

[0100] Core data is compared with regional data and data from other exploration boreholes in the site. Once the comparison is confirmed to be correct, the data is stored and confirmed. If the results of the two are significantly different, or if there is a human error, the recorded data can be cleared and remeasured using the function keys.

Claims

1. An intelligent core box, comprising an upper box and a lower box, wherein the upper box and the lower box are movably connected on one side, characterized in that: The upper housing is equipped with a high-transparency screen, a visual imaging module, a transmission module, and a power module; the power module is located at the central axis of the upper housing, and drives the visual imaging module to rotate along the central axis through the transmission module, for collecting image data of the rock core; The lower housing is equipped with an ultrasonic measurement module, a measurement data processing module, a data storage module, a data transmission and reception module, and a control module. The ultrasonic measurement module includes an ultrasonic generator, a detector, and a processing host, and is used to perform ultrasonic testing on rock cores. The measurement data processing module includes a machine vision processor, an AI computing processor, and support circuitry, used to analyze core characteristics and indicators. The machine vision processor uses OpenCV's blob analysis to examine bedding and joint lines in the core image data acquired by the vision imaging module, establishing a three-dimensional coordinate system for the column surfaces containing the joint lines and bedding, extracting the coordinates of any three points, and determining the core's attitude plane control parameters. The AI ​​computing processor includes a convolutional neural network system with a support vector machine, performing blob analysis on the ultrasonic detection data obtained by the ultrasonic measurement module to complete core column length statistics and RQD value calculation; and combining this with the relationship between wave velocity and weathering degree in the data storage module to analyze the core's weathering degree. The data storage module is used to store the analysis results of the measurement data processing module and related data standards; The data sending and receiving module is used to send the analysis results to external devices; The control module includes several function keys and indicator lights, used to control the opening and closing of each module of the core box and to display the operating status of the core box.

2. The intelligent core box according to claim 1, characterized in that: The visual imaging module rotates 180 degrees along the central axis.

3. The intelligent core box according to claim 1, characterized in that: The lower housing contains a core tray with grooves on both sides and a track groove on the outside of the grooves. The core tray is used to hold the core. An ultrasonic measuring point guide caliper is installed in the track groove. The ultrasonic measuring point guide caliper is used to fix the ultrasonic measuring point guide. The transmitting and receiving contacts of the ultrasonic measuring point guide are located in the grooves and are higher than the lowest point of the core tray.

4. The intelligent core box according to claim 3, characterized in that: The track groove is equipped with a core aiming scale, which is used to determine the placement position of the core and the positions of the transmitting and receiving contacts of the ultrasonic measuring point guide plate.

5. The intelligent core box according to claim 1, characterized in that: The machine vision processor converts the core image data acquired by the vision imaging module into the HSV color space, and determines the core mineral content by comparing and analyzing the features with the mineral composition HSV color space in the data storage module.

6. The intelligent core box according to claim 1, characterized in that: The intelligent rock core box is powered by a mobile power supply.

7. An automatic core data analysis method for an intelligent core box as described in claim 1, characterized in that: S1, place the lower box on a flat surface, and flip the upper box along the movable connection direction between the upper and lower boxes to open the intelligent core box; S2. Place the core sample horizontally and radially north-facing, according to the sequence of advance, bottom layer, and depth, and into the intelligent core box, referring to the core alignment scale. S3, push the ultrasonic measuring point guide caliper along the track groove to move the ultrasonic measuring point guide to the middle of the rock core, so that the transmitting contact and receiving contact of the ultrasonic measuring point guide correspond to the same value of the rock core aiming scale. S4, remove the rock core, apply grease to the transmitting and receiving contacts, put the rock core back in its original position, and turn on the ultrasonic measuring point guide plate connection switch; S5, turn off the intelligent core box and automatically perform a self-test of the intelligent core box; S6, activate the visual imaging module to acquire core image data; S7, the measurement data processing module uses OpenCV's blob analysis to examine the bedding and joint lines in the core image data based on the acquired core image data, establishes the cylindrical coordinate system of the plane where the joint lines and bedding are located, extracts the coordinates of any three points, and determines the core attitude plane control parameters. S8, the measurement data processing module converts the core image data into the HSV color space, and determines the core mineral content by comparing and analyzing the features with the mineral component HSV color space in the data storage module. S9, activate the ultrasonic measurement module to obtain ultrasonic detection data from the rock core; S10, using the convolutional neural network system of the support vector machine in the AI ​​computing processor, perform blob analysis on the ultrasonic detection data to complete the core column length statistics and RQD value calculation; and combine the relationship between wave velocity and weathering degree in the data storage module to analyze the weathering degree of the core. S11 transmits the automatically analyzed core data to an external device for review and verification, and then uploads it to the cloud platform for storage.

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