Method and system for continuously evaluating rock mass quality by using drilled rock core

Abstract

The invention relates to the technical field of rock mass quality evaluation of mining engineering and underground rock engineering, discloses a method and a system for continuously evaluating rock mass quality by using a drilled rock core, and realizes refined, comprehensive and high-precision quality evaluation of the drilled rock core. Firstly, high-resolution three-dimensional image data of a drilled rock core are obtained through a high-precision laser scanning technology, the images can record geometrical characteristics and fracture characteristics of the rock core in detail, then the three-dimensional images are automatically analyzed by adopting an advanced image processing algorithm, information such as the geometrical characteristics, the fracture characteristics and mineral components of the rock core is extracted, and the rock core is subjected to real-time monitoring. The process greatly reduces the interference of human factors, ensures the objectivity and accuracy of data, and obtains the fault zone, crack and cavity information in the rock mass through the cross-hole radar tomography technology, so that the evaluation result is more comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of rock mass quality evaluation in mining engineering and underground rock engineering, and in particular to a method and system for continuously evaluating rock mass quality by using drill cores. Background Art

[0002] In underground engineering and geotechnical engineering, accurate assessment of rock mass quality is crucial to the safety and economy of the project. Traditional rock mass quality assessment methods mainly rely on physical and mechanical experiments of drill cores. Although drill core tests provide data on the physical and mechanical properties of rock mass, these data are often discrete and difficult to fully reflect the actual situation of rock mass within the entire borehole range. Traditional methods lack high-resolution three-dimensional image data, resulting in incomplete spatial distribution information of evaluation results. Existing core image processing technology often relies on manual analysis and cannot make full use of advanced image processing algorithms, such as deep learning algorithms, resulting in inaccurate identification and extraction of core features. In addition, existing evaluation methods usually only focus on a single indicator of rock mass, such as rock strength or crack density, ignoring factors that have an important impact on rock mass quality, such as mineral composition and groundwater status, resulting in incomplete evaluation results and a relatively single display method for traditional rock mass quality evaluation results. There is a lack of three-dimensional visualization and real-time update functions for rock mass quality data, making it difficult to provide users with intuitive and interactive data display and analysis tools.

[0003] In order to overcome the shortcomings of the existing technology, the present invention proposes an innovative method and system for continuous evaluation of rock mass quality using drill cores. The method achieves a comprehensive, accurate and real-time evaluation of rock mass quality by combining high-precision laser scanning technology, cross-hole radar tomography technology, image processing algorithms, deep learning technology and virtual reality technology. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method and system for continuous evaluation of rock quality using drill cores, which solves the problem that the existing evaluation methods usually only focus on a single indicator of the rock mass, such as rock strength or crack density, and ignore factors that have an important impact on the rock quality, such as mineral composition and groundwater status, resulting in incomplete evaluation results and a relatively single display method for traditional rock quality evaluation results.

[0005] To achieve the above objectives, the present invention is implemented by the following technical scheme: a method for continuously evaluating rock mass quality using drill cores, the method comprising the following steps:

[0006] S1. Obtain drilling information, including the hole number, location, inclination, depth, drilling equipment parameters and drilling speed of the drilling hole;

[0007] S2. Use high-precision laser scanning technology to perform three-dimensional scanning on the core to obtain a high-resolution three-dimensional image of the core;

[0008] S3, uploading the core 3D image data to the cloud platform and establishing a core 3D image database;

[0009] S4. Automated analysis of the three-dimensional image of the core using an image processing algorithm to extract information on the geometric features, fracture characteristics, and mineral composition of the core;

[0010] S5. Calculate the structural integrity index and fracture density index of the core according to the extracted geometric features and fracture features;

[0011] S6. Calculate the mineral composition ratio and rock strength index of the rock in combination with the mineral composition information;

[0012] S7. Use cross-hole radar tomography technology to image the rock mass between the boreholes to obtain information on the fracture zones, cracks and cavities inside the rock mass;

[0013] S8. Calculate the rock mass joint spacing index within each minimum measurement range;

[0014] S9, uploading the cross-hole radar tomography data to the cloud platform and establishing a radar imaging database;

[0015] S0, integrating the core 3D image data and cross-hole radar tomography data, establishing a core quality assessment model, evaluating the quality of each section of the core, and obtaining the rock mass quality assessment results;

[0016] S11. Upload the rock mass quality evaluation results to the cloud platform, generate a continuous distribution map of the rock mass quality, and perform a three-dimensional visual display.

[0017] Preferably, the drilling information also includes environmental parameters of the drilling, including temperature, pressure and humidity.

[0018] Preferably, the three-dimensional scanning technology is a lidar scanning technology.

[0019] Preferably, the image processing algorithm includes a deep learning algorithm for automatically identifying and extracting geometric features and fracture features of the core.

[0020] Preferably, the mineral composition information is obtained by X-ray fluorescence spectroscopy.

[0021] Preferably, the structural integrity indicators include continuity, integrity and degree of fracture of the core.

[0022] Preferably, the crack density index includes the number of cracks per unit length and the degree of opening of the cracks.

[0023] Preferably, the core quality assessment model is based on a multi-factor comprehensive evaluation method, which comprehensively considers factors such as structural integrity, fracture density and mineral composition ratio. The continuous distribution map of rock mass quality is generated through a data visualization tool on a cloud platform and supports multi-perspective and multi-scale three-dimensional display.

[0024] Preferably, the rock mass joint spacing index comprises the following steps:

[0025] Data collection: Extract core samples from the borehole and record the length of joints in each section of core;

[0026] Joint length standardization: joints longer than 1 cm are recorded according to their actual length; joints less than 1 cm but greater than or equal to 0.5 cm are standardized to 1 cm; joints less than 0.5 cm are recorded as "joint-dense areas" and are not included in the calculation of joint spacing;

[0027] Joint spacing measurement: Calculate the actual distance between each pair of adjacent joints and calculate the arithmetic mean of the joint spacing:

[0028]

[0029] Where D is the joint spacing index, d i is the distance between each pair of adjacent joints, and n is the number of joint pairs.

[0030] A system for continuously evaluating rock mass quality using drill cores, the system comprising:

[0031] Data acquisition module, used to automatically collect drilling information, core 3D images, and cross-hole radar tomography data;

[0032] Data processing module, used to process and analyze core 3D image data, radar tomography data, mineral composition data and structural integrity indicators;

[0033] Evaluation model module, used to calculate rock mass quality evaluation results based on multi-factor comprehensive evaluation method, and to perform model optimization and calibration;

[0034] A data storage module, used to store core three-dimensional image data, radar imaging data, quality evaluation results and related parameters;

[0035] Visualization module, used to generate and display continuous distribution maps of rock mass quality, including two-dimensional cloud maps and three-dimensional maps, supporting interactive data display;

[0036] Real-time update module, used to receive new data and update the evaluation results in real time, making dynamic adjustments to maintain the accuracy of the results;

[0037] The user interaction module is used to provide a user interface, allowing users to input parameters, view evaluation results, perform data analysis and export reports.

[0038] Beneficial Effects

[0039] The present invention provides a method and system for continuous rock mass quality evaluation using drill cores. Compared with the prior art, it has the following beneficial effects:

[0040] 1. In the present invention, the evaluation method realizes the refined, comprehensive and high-precision quality evaluation of the drill core through the comprehensive application of multiple advanced technologies. First, the high-resolution three-dimensional image data of the drill core is obtained through high-precision laser scanning technology. These images can record the geometric characteristics and crack characteristics of the core in detail. Then, the three-dimensional images are automatically analyzed by advanced image processing algorithms to extract the geometric characteristics, crack characteristics and mineral composition information of the core. This process greatly reduces the interference of human factors and ensures the objectivity and accuracy of the data. At the same time, the fault zone inside the rock body is obtained by cross-hole radar tomography technology. , cracks and voids information to make the evaluation results more comprehensive. Subsequently, these data are uploaded to the cloud platform to establish a three-dimensional core image database and a radar imaging database. Through comprehensive analysis of multi-dimensional data, the system can fully grasp the internal structure and quality characteristics of the rock mass, calculate the key parameters of structural integrity indicators, crack density indicators and mineral composition ratios, and ensure the scientificity and reliability of the evaluation results. The multi-factor comprehensive evaluation method further improves the accuracy of rock mass quality evaluation, making the evaluation results more comprehensive, accurate and credible, providing a reliable scientific basis for engineering construction and resource development, thereby improving the safety and economy of engineering projects.

[0041] 2. In the present invention, the system realizes the continuous distribution and three-dimensional visualization display of rock mass quality evaluation results by establishing a three-dimensional core image database and a radar imaging database. First, through high-precision laser scanning technology and cross-hole radar tomography technology, detailed drilling core data and rock mass internal structure information are obtained. After processing, these data are uploaded to the cloud platform to establish a complete database. Then, the system comprehensively analyzes these data and calculates the quality evaluation results of each section of the core using a multi-factor comprehensive evaluation model. After uploading the evaluation results to the cloud platform, a continuous distribution map of rock mass quality is generated. These distribution maps can not only intuitively reflect the structural characteristics and quality distribution inside the rock mass, but also support multi-perspective and multi-scale three-dimensional display. Users can view, analyze and export data through an interactive interface. The visualization display enables users to more intuitively understand the distribution of rock mass quality and provide important reference for decision-making. In addition, through the real-time update module, the system can dynamically receive new data and update the evaluation results in time, ensuring the real-time and accuracy of the results. This real-time dynamic update capability ensures that the system can still provide accurate and reliable rock mass quality evaluation results in a complex engineering environment, thereby greatly improving the management efficiency and safety of engineering projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A flow chart of a method for continuous rock mass quality evaluation using drill cores proposed by the present invention;

[0043] Figure 2 The radar wave velocity CT profile diagram in Embodiment 1;

[0044] Figure 3 This is a profile diagram of wave impedance logging in Example 1;

[0045] Figure 4 The radar skin depth CT profile in Example 1;

[0046] Figure 5 This is a system module flow chart of a system for continuously evaluating rock mass quality using drill cores proposed by the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1 - Figure 5 The present invention provides two technical solutions, which specifically include the following embodiments:

[0049] Embodiment 1:

[0050] A method and system for continuously evaluating rock mass quality using drill cores, the method comprising the following steps:

[0051] S1. Obtain drilling information, including the hole number, location, inclination, depth, drilling equipment parameters and drilling speed of the drilling hole;

[0052] S2. Use high-precision laser scanning technology to perform three-dimensional scanning on the core to obtain a high-resolution three-dimensional image of the core;

[0053] S3, uploading the core 3D image data to the cloud platform and establishing a core 3D image database;

[0054] S4. Automated analysis of the three-dimensional image of the core using an image processing algorithm to extract information on the geometric features, fracture characteristics, and mineral composition of the core;

[0055] S5. Calculate the structural integrity index and fracture density index of the core according to the extracted geometric features and fracture features;

[0056] S6. Calculate the mineral composition ratio and rock strength index of the rock in combination with the mineral composition information;

[0057] S7. Use cross-hole radar tomography technology to image the rock mass between the boreholes and obtain information about the fracture zones, cracks and cavities inside the rock mass. The radar's transmitting power is related to the wave impedance.

[0058] The transmission power of the antenna in the borehole varies with depth and is related to the wave impedance. Under the conditions of the antenna length L, current I, and wavelength λ, the antenna transmission power P is proportional to the wave impedance Z of the ambient medium, as shown in the following formula.

[0059]

[0060] Generally speaking, the higher the wave impedance, the greater the transmission power, and vice versa. Wave impedance is defined as the ratio of the electric field to the magnetic field in electromagnetic wave propagation, with the unit of Ω, which is a complex number. The wave impedance of air is the highest, at 377Ω, and the maximum transmission power is P0; the wave impedance in dry rock is 100-300Ω, and the transmission power is reduced; the wave impedance of rock containing metal minerals or water will be greatly reduced, even to 10-50Ω, and its transmission power is also greatly reduced. According to the correspondence between the transmission power Pi and the wave impedance Zi, wave impedance logging can be performed by the ratio of the power at the transmission point to the transmission power in the air. The wave impedance and DC resistivity here are different physical quantities. By analyzing the travel time difference between the transmitted signal and the received signal, the electromagnetic wave velocity CT is calculated, and the skin depth CT is calculated by the signal amplitude ratio. Specifically, cross-hole radar tomography can effectively reveal the wave impedance, wave velocity and skin depth inside the rock mass, thereby reflecting the compactness, mineral composition, water content and the integrity of its internal structure.

[0061] The wave velocity of rock represents the speed of electromagnetic wave propagation. It is inversely proportional to the square root of the relative dielectric constant ε of the medium:

[0062]

[0063] Where C is the electromagnetic wave speed in the air, which is 0.3m / ns.

[0064] The wave velocity reflects the differences in mineral composition, lithology, density, looseness and water content of rock and soil media. The vast majority of dry rock and soil media on Earth have a relative dielectric constant between 4 and 9, and an electromagnetic wave velocity between 0.1 and 0.15 m / ns. Compared with rock and soil media, the wave velocity of air is the highest, at 0.3 m / ns; the wave velocity of water is the lowest, at 0.033 m / ns. If the wave velocity of the rock and soil medium is lower than 0.1 m / ns, it means that the rock and soil medium is loose and contains water. The greater the amount of water, the lower the electromagnetic wave velocity. If the wave velocity is higher than 0.15 m / ns, it means that the rock and soil is loose and has gaps or cavities. The more gaps, the higher the electromagnetic wave velocity.

[0065] Skin depth δ is defined as the distance that electromagnetic waves propagate when their amplitude decays to 1 / e of the original value. It characterizes the attenuation characteristics of the medium to the propagation of electromagnetic waves. A large skin depth indicates that the electromagnetic wave has a strong ability to penetrate the medium and has a small attenuation, and vice versa. For electromagnetic waves with a frequency higher than 10 MHZ, the skin depth is inversely proportional to the conductivity of the medium and directly proportional to the square root of the dielectric constant, and is sensitive to the conductivity of the medium.

[0066]

[0067] The conductivity of rock and soil media varies within a range of several orders of magnitude, resulting in skin depth variations ranging from a few meters to tens of meters. This is beneficial for the resolution of water-bearing bodies, mineralized zones, karst, loose areas and voids. In the loess-covered area of ​​dry loose layers, the skin depth varies within the range of 3 to 5 meters. The skin depth of the rock mass varies within the range of 10 to 20 meters; for water-bearing zones, mineralized zones or clay layers and high-conductivity rock masses, the skin depth may be less than 3 meters. For porous loose layers and voids, the skin depth will be greater than 20 meters;

[0068] S8. Calculate the rock mass joint spacing index within each minimum measurement range;

[0069] S9, uploading the cross-hole radar tomography data to the cloud platform to establish a radar imaging database, wherein the cross-hole radar tomography data includes radar wave velocity CT imaging and radar skin depth CT imaging;

[0070] S0, integrating the core 3D image data and cross-hole radar tomography data, establishing a core quality assessment model, evaluating the quality of each section of the core, and obtaining the rock mass quality assessment results;

[0071] S11. Upload the rock mass quality evaluation results to the cloud platform, generate a continuous distribution map of the rock mass quality, and perform a three-dimensional visual display.

[0072] The drilling information also includes environmental parameters of the drilling, including temperature, pressure and humidity. The three-dimensional scanning technology is a laser radar scanning technology. The image processing algorithm includes a deep learning algorithm for automatically identifying and extracting geometric features and crack features of the core. The mineral composition information is obtained by X-ray fluorescence spectroscopy. The structural integrity index includes the continuity, integrity and degree of fracture of the core. The crack density index includes the number of cracks per unit length and the opening of the cracks. The core quality assessment model is based on a multi-factor comprehensive evaluation method, which comprehensively considers structural integrity, crack density and mineral composition ratio factors. The rock mass quality continuous distribution map is generated by a data visualization tool on a cloud platform and supports multi-view and multi-scale three-dimensional display. The rock mass joint spacing index includes the following steps:

[0073] Data collection: Extract core samples from the borehole and record the length of joints in each section of core;

[0074] Joint length standardization: joints longer than 1 cm are recorded according to their actual length; joints less than 1 cm but greater than or equal to 0.5 cm are standardized to 1 cm; joints less than 0.5 cm are recorded as "joint-dense areas" and are not included in the calculation of joint spacing;

[0075] Joint spacing measurement: Calculate the actual distance between each pair of adjacent joints and calculate the arithmetic mean of the joint spacing:

[0076]

[0077] Where D is the joint spacing index, d i is the distance between each pair of adjacent joints, and n is the number of joint pairs.

[0078] When working, the core of this evaluation method lies in the precise collection and comprehensive analysis of multi-dimensional data. First, the three-dimensional image data of the drill core is obtained through high-precision laser scanning technology. These high-resolution images can record the geometric characteristics and fracture characteristics of the core in detail to ensure the accuracy of the data. Then, the system uses advanced image processing algorithms to automatically analyze these three-dimensional image data and extract the geometric characteristics, fracture characteristics and mineral composition information of the core. At the same time, through cross-hole radar tomography technology, the fault zone, fracture and cavity information inside the rock body are imaged to further obtain detailed structural information inside the rock body. Subsequently, the system uploads these data to the cloud platform to establish a core three-dimensional image database and a radar imaging database. These databases not only store a large amount of core and rock internal structure data, but also realize centralized management and sharing of data through the cloud platform. Through the comprehensive analysis of multi-dimensional data, the system can fully grasp the internal structure and quality characteristics of the rock mass, calculate key parameters such as structural integrity index, fracture density index and mineral composition ratio, and ensure the scientificity and accuracy of the evaluation results. The multi-factor comprehensive evaluation method takes into account the geometric characteristics, fracture characteristics and mineral composition information of the core, making the evaluation results more comprehensive and accurate, and providing reliable technical support for the scientific evaluation of rock quality.

[0079] Embodiment 2:

[0080] Based on the first embodiment, a system for continuously evaluating rock mass quality using drill cores is provided, the system comprising:

[0081] The data acquisition module is used to automatically collect drilling information, core 3D images, and cross-hole radar tomography data;

[0082] The data processing module is used to process and analyze the core 3D image data, radar tomography data, mineral composition data and structural integrity indicators; the core 3D image acquisition is generated by laser scanning point cloud, and its specific algorithm is:

[0083]

[0084] Where: d is the distance from the laser to the object, c is the speed of light (about 3×10 8 m / s), t is the round trip time of the laser;

[0085] Radar tomography data is obtained by the following calculation method:

[0086] Reflection time formula:

[0087]

[0088] Where: t r is the arrival time of the reflected signal, d is the depth of the fault inside the rock mass, and c is the propagation speed of the electromagnetic wave in the rock mass.

[0089] Fourier transform formula:

[0090]

[0091] Where: X(f) is the frequency domain signal, x(t) is the time domain signal, and f is the frequency.

[0092] Imaging equation:

[0093]

[0094] Where: δ(x) is the tomographic image of the rock mass, R(t,x i ) is the received radar signal, Δt is the time interval;

[0095] The above formulas and algorithms express the specific processing process of core 3D images and cross-hole radar tomography in the data acquisition module.

[0096] Evaluation model module, used to calculate rock mass quality evaluation results based on multi-factor comprehensive evaluation method, and to perform model optimization and calibration;

[0097] A data storage module, used to store core three-dimensional image data, radar imaging data, quality evaluation results and related parameters;

[0098] Visualization module, used to generate and display continuous distribution maps of rock mass quality, including two-dimensional cloud maps and three-dimensional maps, supporting interactive data display;

[0099] Real-time update module, used to receive new data and update the evaluation results in real time, making dynamic adjustments to maintain the accuracy of the results;

[0100] The user interaction module is used to provide a user interface, allowing users to input parameters, view evaluation results, perform data analysis and export reports;

[0101] Based on the data processing module, the system uses a multi-factor comprehensive evaluation method to calculate the rock mass quality evaluation results by establishing an evaluation model module. First, the system comprehensively considers multiple factors such as the structural integrity of the core, the density of cracks and the proportion of mineral components to ensure the comprehensiveness and accuracy of the evaluation results. Through model optimization and calibration, the system can continuously adjust the parameters of the evaluation model to improve the accuracy and reliability of the evaluation results. Cross-hole radar tomography technology plays a key role in this process. Through the transmission and reception of radar signals between multiple boreholes, tomographic images of the fracture zones and crack structures inside the rock mass are generated. These image data provide detailed structural information inside the rock mass for the evaluation model, making the evaluation results more comprehensive and accurate. The data storage module is responsible for storing the three-dimensional image data of the core, radar imaging data, quality evaluation results and related parameters to ensure the security and traceability of the data. Through the visualization module, the system can generate and display continuous distribution maps of rock mass quality, including two-dimensional cloud maps and three-dimensional maps, and support interactive data display. Users can view, analyze and export data through the interactive interface to intuitively understand the distribution of rock mass quality. The real-time update module ensures that the system can receive new data and make dynamic adjustments to maintain the accuracy of the evaluation results. The user interaction module provides a friendly user interface, supports parameter input, evaluation result viewing, data analysis and report export, thus realizing the automation and intelligence of the whole process of rock mass quality evaluation. Through the collaborative work of these modules, the system can efficiently and accurately complete the evaluation and display of rock mass quality, providing reliable technical support and data basis for the planning and implementation of engineering projects.

[0102] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the application should be included in the scope of protection of the present application.

Claims

1. A method for continuous rock mass quality evaluation using drill cores, characterized in that: The method comprises the following steps: S1. Obtain drilling information, including the hole number, location, inclination, depth, drilling equipment parameters and drilling speed of the drilling hole; S2. Use high-precision laser scanning technology to perform three-dimensional scanning on the core to obtain a high-resolution three-dimensional image of the core; S3, uploading the core 3D image data to the cloud platform and establishing a core 3D image database; S4. Automated analysis of the three-dimensional image of the core using an image processing algorithm to extract information on the geometric features, fracture characteristics, and mineral composition of the core; S5. Calculate the structural integrity index and fracture density index of the core according to the extracted geometric features and fracture features; S6. Calculate the mineral composition ratio and rock strength index of the rock in combination with the mineral composition information; S7. Use cross-hole radar tomography technology to image the rock mass between the boreholes to obtain information on the fracture zones, cracks and cavities inside the rock mass; S8. Calculate the rock mass joint spacing index within each minimum measurement range; S9, uploading the cross-hole radar tomography data to the cloud platform and establishing a radar imaging database; S0, integrating the core 3D image data and cross-hole radar tomography data, establishing a core quality assessment model, evaluating the quality of each section of the core, and obtaining the rock mass quality assessment results; S11. Upload the rock mass quality evaluation results to the cloud platform, generate a continuous distribution map of the rock mass quality, and perform a three-dimensional visual display.

2. A method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The drilling information also includes environmental parameters of the drilling, including temperature, pressure and humidity.

3. The method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The three-dimensional scanning technology is a laser radar scanning technology.

4. The method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The image processing algorithm includes a deep learning algorithm for automatically identifying and extracting geometric features and fracture features of the core.

5. The method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The mineral composition information is obtained by X-ray fluorescence spectroscopy.

6. The method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The structural integrity indicators include the continuity, integrity and degree of fracture of the core.

7. The method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The crack density index includes the number of cracks per unit length and the opening degree of the cracks.

8. The method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The core quality assessment model is based on a multi-factor comprehensive evaluation method, which comprehensively considers factors such as structural integrity, fracture density and mineral composition ratio. The continuous distribution map of rock mass quality is generated through a data visualization tool on a cloud platform and supports multi-perspective and multi-scale three-dimensional display.

9. The method for continuous rock mass quality evaluation using drill core according to claim 1, characterized in that: The rock mass joint spacing index comprises the following steps: Data collection: Extract core samples from the borehole and record the length of joints in each section of core; Joint length standardization: joints longer than 1 cm are recorded according to their actual length; joints less than 1 cm but greater than or equal to 0.5 cm are standardized to 1 cm; joints less than 0.5 cm are recorded as "joint-dense areas" and are not included in the calculation of joint spacing; Joint spacing measurement: Calculate the actual distance between each pair of adjacent joints and calculate the arithmetic mean of the joint spacing: Where D is the joint spacing index, d i is the distance between each pair of adjacent joints, and n is the number of joint pairs.

10. A system for continuous rock mass quality evaluation using drill cores, characterized in that: The system includes: Data acquisition module, used to automatically collect drilling information, core 3D images, and cross-hole radar tomography data; Data processing module, used to process and analyze core 3D image data, radar tomography data, mineral composition data and structural integrity indicators; Evaluation model module, used to calculate rock mass quality evaluation results based on multi-factor comprehensive evaluation method, and to perform model optimization and calibration; A data storage module, used to store core three-dimensional image data, radar imaging data, quality evaluation results and related parameters; Visualization module, used to generate and display continuous distribution maps of rock mass quality, including two-dimensional cloud maps and three-dimensional maps, supporting interactive data display; Real-time update module, used to receive new data and update the evaluation results in real time, making dynamic adjustments to maintain the accuracy of the results; The user interaction module is used to provide a user interface, allowing users to input parameters, view evaluation results, perform data analysis and export reports.

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