A mine drilling peeping device and rock mass integrity test evaluation method
By using a detection component consisting of a panoramic camera and a host unit, the types of rock mass fractures are identified and quantified, and a quantitative evaluation system is constructed. This solves the problems of reliance on neural network models and inaccurate fracture rating in existing technologies, and enables accurate evaluation of rock mass integrity and scientific design of support schemes.
Patent Information
- Application Number
- CN202511171217.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-21
- Publication Date
- 2025-11-11
- Estimated Expiration
- 2045-08-21
AI Technical Summary
Existing mining borehole inspection technology relies on complex neural network model training, which requires a lot of effort to build massive amounts of labeled data. Furthermore, the model performance is easily affected by the distribution deviation of the training data, resulting in insufficient recognition stability. The fracture image rating model has not established a correlation with the specific physical indicators of the fracture, making it impossible to quantitatively evaluate the integrity of the rock mass and difficult to serve the precise design of support schemes.
The detection component, consisting of a panoramic camera and a host unit, identifies the type of crack in the borehole wall image, sets weight parameters, calculates crack analysis values, and constructs a quantitative evaluation system. Combined with a pushing mechanism, it realizes the automated movement and protection of the panoramic camera, avoids image contamination, and adapts to different environments.
It enables quantitative evaluation of rock mass integrity, provides accurate data support for support scheme design, improves the scientific nature of engineering decision-making, has strong adaptability, avoids the stability problem of neural network models, and has high image acquisition stability.
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Figure CN120649877B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of mining borehole inspection devices, specifically to a mining borehole inspection device and a method for testing and evaluating the integrity of rock mass. Background Technology
[0002] In the fields of mining and underground engineering construction, borehole inspection technology is a direct and effective detection method. Its core value lies in using specialized equipment to penetrate deep into the pre-constructed borehole and accurately collect image information of the rock mass of the borehole wall. This provides indispensable first-hand data support for geological exploration in the early stage of the project, stability assessment of the surrounding rock during construction, scientific formulation of support plans, and early warning of safety risks in the later stage.
[0003] In existing technologies, such as the method and system for determining the loosened zone of surrounding rock based on neural networks and borehole inspection disclosed in CN119048848A, the core of the method is to score the sub-images of the rock layer image by using a trained fracture image rating model, and then perform a weighted moving average to obtain the score of the degree of rock fragmentation. The score is then compared with the threshold for determining the loosened zone of surrounding rock to determine the depth range of the loosened zone.
[0004] However, the aforementioned existing technologies rely on complex neural network model training, which not only requires a lot of effort to build a training set containing massive amounts of labeled data, but also makes the model performance susceptible to the influence of training data distribution bias, resulting in insufficient recognition stability in different scenarios. At the same time, the scoring of sub-images by the fracture image rating model is based only on the abstract judgment of image features, without establishing a correlation with the specific physical indicators of the fracture. It is impossible to distinguish the differentiated impact of different fractures on the rock mass strength through quantitative parameters, and thus it is difficult to form a quantitative evaluation system for evaluating the integrity of the rock mass based on the specific characteristics of each fracture. As a result, the evaluation results are difficult to directly serve the accurate design of support schemes, and there are limitations in practical engineering applications. Summary of the Invention
[0005] To address the shortcomings of existing mine borehole inspection technologies, which rely on complex neural network models for training, requiring significant effort to build training sets with massive amounts of labeled data, and whose performance is susceptible to biases in training data distribution, resulting in insufficient recognition stability across different scenarios; furthermore, fracture image rating models score sub-images based solely on abstract judgments of image features, failing to establish a correlation with specific physical indicators of fractures. This makes it impossible to differentiate the varying impacts of different fractures on rock mass strength through quantitative parameters, hindering the formation of a quantitative evaluation system for assessing rock mass integrity based on the specific characteristics of each fracture. Consequently, the evaluation results are insufficient to directly support the precise design of support schemes, limiting their application in practical engineering. Therefore, this invention provides both a mine borehole inspection device and a method for testing and evaluating rock mass integrity.
[0006] To achieve the above objectives, the technical solution adopted by the mining borehole inspection device of the present invention is as follows:
[0007] A mining borehole inspection device includes a detection component, which includes a panoramic camera and a main unit. The panoramic camera is electrically connected to the main unit and is used to acquire images of the borehole wall within a preset depth range.
[0008] The host includes a data processing unit, which is configured to: receive borehole wall images, identify each fracture in the borehole wall images, classify fracture types based on the maximum opening width of each fracture, count the number of each type of fracture in the borehole wall images, set weight parameters corresponding to each type of fracture, calculate fracture analysis values based on the weight parameters of each type of fracture and the number of each type of fracture, and determine the rock mass zoning results based on the fracture analysis values.
[0009] Among them, the fracture types include open fractures, micro-open fractures and near-closed fractures. The maximum opening width of open fractures is greater than or equal to 3 mm, the maximum opening width of micro-open fractures is greater than or equal to 1 mm and less than 3 mm, and the maximum opening width of near-closed fractures is less than 1 mm.
[0010] The number of open-type cracks is The number of micro-opening cracks is The number of near-closed fractures is ;
[0011] The weight parameters for open-type fractures, micro-open-type fractures, and near-closed fractures are determined based on the current service life of the roadway.
[0012] The weighting parameter for open-type cracks is α, the weighting parameter for slightly open-type cracks is β, and the weighting parameter for near-closed cracks is γ, where α+β+γ=1;
[0013] The fracture analysis value is calculated based on the weight parameter of each fracture type and the number of each fracture type, including: the fracture analysis value is ζ, ζ = (α × +β× +γ× ) / 10;
[0014] The rock mass zoning results based on the fracture analysis values are as follows: if ζ>2, the rock mass zoning is determined to be a fractured zone; if 1≦ζ≦2, the rock mass zoning is determined to be a slightly fractured zone; if ζ<1, the rock mass zoning is determined to be a intact zone.
[0015] The above-mentioned scheme employs a detection component comprising a panoramic camera and a host unit. The panoramic camera acquires borehole wall images within a preset borehole depth range. The host unit, through a data processing unit, identifies and classifies the maximum opening width and type of each fracture in each borehole wall image, directly linking fracture characteristics with specific physical indicators. This solves the problem of existing technologies relying on abstract image feature scoring and lacking physical indicator support. Simultaneously, by setting weight parameters and calculating fracture analysis values, a quantitative evaluation system based on the specific characteristics of each fracture is constructed. This system can intuitively reflect the differentiated impact of different fractures on rock mass strength, upgrading rock mass integrity evaluation from abstract description to calculable and verifiable quantitative results, and from qualitative description to quantitative judgment. This solves the problems of vague and subjective traditional evaluation results, providing precise data support for surrounding rock stability assessment. It can directly serve the precise design of support schemes, matching targeted support parameters for different rock mass zones, and improving the scientific nature of engineering decisions.
[0016] In addition, this invention does not rely on complex neural network model training and massive labeled data, avoiding stability problems caused by training data bias affecting model performance. The operation process is simpler, and it can maintain stable evaluation accuracy in different mining environments and engineering scenarios, making it more adaptable.
[0017] This invention also clarifies the determination of fracture type based on the maximum fracture opening width, unifying fracture classification standards and quantitative analysis logic. This avoids the ambiguity in fracture type definition and the lack of basis for influence weights in traditional evaluations, making the analysis results comparable across different scenarios and personnel. By using specific formulas, the abstract rock mass integrity is transformed into calculable and verifiable numerical indicators, making the evaluation results more intuitive and engineering-guided, such as directly providing quantitative basis for support parameter design.
[0018] As a preferred implementation of a mining borehole inspection device, it also includes a pushing mechanism that can extend and retract along the borehole axis to push the panoramic camera.
[0019] Existing mining borehole inspection devices mostly use flexible tube probes, which require manual connection and pushing / pulling. The operation process is cumbersome, and the recorded video quality is poor, prone to shaking, angle deviation, and unclear images, affecting subsequent analysis and processing. The above-structure solution can realize the automated movement of the panoramic camera in the borehole, reducing the intensity of manual operation. Furthermore, the stable extension and retraction of the pushing mechanism can prevent the panoramic camera from shaking and angle deviation, ensuring the stability and continuity of borehole wall image acquisition, and providing high-quality image data for subsequent fracture analysis.
[0020] As a preferred implementation of a mining borehole inspection device, the pushing mechanism includes a probe handle, one end of which is connected to a telescopic probe, and the end of the telescopic probe away from the probe handle is connected to an inspection probe, with a panoramic camera mounted on the inspection probe.
[0021] The above-mentioned structural design makes the equipment layout more compact, which is convenient for operation in confined underground spaces. Furthermore, the panoramic camera is integrated into the viewing probe to ensure a stable distance between the lens and the borehole wall, reducing image distortion. At the same time, the probe can provide initial protection for the camera, reducing the risk of damage to the lens from dust and gravel inside the borehole.
[0022] As a preferred implementation of a mining borehole inspection device, the inspection probe is provided with a transparent probe cover.
[0023] By adopting the above structural design, the transparent probe cover can physically isolate impurities such as dust, water droplets, and rock debris inside the hole, preventing them from directly adhering to the lens of the panoramic camera. This solves the problem of lens contamination leading to blurred images in traditional devices. Furthermore, the transparent material does not affect the image acquisition effect, ensuring the clarity of the hole wall image while protecting the lens and reducing the difficulty of post-processing image processing.
[0024] As a preferred implementation of a mining borehole inspection device, a heating device is provided on the side of the inspection probe near the telescopic probe rod, and a temperature sensor is connected to the inner wall of the transparent probe cover. The temperature sensor is electrically connected to the heating device.
[0025] During borehole inspection, the temperature at the borehole tip is often much higher than outside the borehole. When the inspection probe is inserted deep into the borehole, the panoramic camera is often covered with water mist due to the temperature difference, resulting in unclear images and affecting the inspection effect. The above-mentioned structural solution uses a temperature sensor to sense the borehole temperature in real time, and a heating device simultaneously heats the inspection probe to a matching temperature, eliminating water mist at the source. This allows the panoramic camera to adapt to temperature changes at different borehole depths, ensuring that the lens remains clear and improving the adaptability of the device in complex environments.
[0026] As a preferred implementation of a mining borehole inspection device, the probe handle is equipped with a switch control panel, which includes a power switch, a probe lifting button, and a probe heating button. The probe lifting button is electrically connected to the telescopic probe, the probe heating button is electrically connected to the heating device, and the power switch is used to control the power supply.
[0027] The above-described structural design allows for quick control of probe raising and lowering and probe heating via buttons on the probe handle, eliminating the need for complex operating procedures and improving work efficiency. Furthermore, the clearly defined function buttons reduce the risk of misoperation, making it particularly suitable for low-light, complex environments such as underground mines, enhancing both the ease of use and safety of the equipment.
[0028] As a preferred implementation of a mining borehole inspection device, the telescopic probe includes a sleeve assembly, which includes several sleeve bodies coaxially sleeved from the outside to the inside.
[0029] One end of the sleeve body located at the outermost part of the sleeve assembly is fixedly connected to the probe handle, and the other end is fixedly connected to the machine housing;
[0030] The innermost part of the sleeve shaft assembly, away from the probe handle, is connected to the rack. The axial direction of the sleeve shaft body is consistent with the length direction of the rack. The housing contains a gear and a drive motor. The gear meshes with the rack, and the gear is coaxially and fixedly connected to the output shaft of the drive motor.
[0031] The aforementioned structural design ensures the straightness and stability of the probe extension and retraction, avoiding the bending and swaying of traditional flexible probes. This ensures the panoramic camera moves at a constant speed along the borehole axis, improving the spatial positioning accuracy of image acquisition. Furthermore, the gear, rack, and drive motor transmission method allows for precise control of the extension and retraction speed. Combined with preset parameters on the main unit, this enables uniform lifting and lowering, facilitating accurate depth control.
[0032] The technical solution adopted in the rock mass integrity testing and evaluation method of this invention is as follows:
[0033] A method for testing and evaluating the integrity of rock masses includes the following steps:
[0034] S1. Acquire and receive borehole wall images within a preset borehole depth range;
[0035] S2. Identify each crack in the borehole wall image, classify the crack type based on the maximum opening width of each crack, count the number of each type of crack in the borehole wall image, and set the weight parameter corresponding to each type of crack.
[0036] S3. Calculate the fracture analysis value based on the weight parameter of each fracture type and the number of each fracture type;
[0037] S4. Determine the rock mass zoning results based on the fracture analysis values.
[0038] As a preferred implementation method for evaluating the integrity of rock masses, it further includes the following steps:
[0039] S5. After grouting the surrounding rock, repeat steps S1-S3 to obtain the fracture analysis values after grouting.
[0040] The aforementioned method for testing and evaluating rock mass integrity enables a quantitative comparison of the state of fractures before and after grouting. It can scientifically evaluate the filling effect of grouting on fractures and provide data support for optimizing grouting parameters. This promotes the transformation of grouting reinforcement from experience-based operations to precise construction guided by quantitative standards, thereby improving the economy and effectiveness of surrounding rock reinforcement.
[0041] The beneficial effects of this invention include:
[0042] 1. The detection component includes a panoramic camera and a host. The panoramic camera is used to acquire borehole wall images within a preset depth range of the borehole. The host uses a data processing unit to identify and classify the maximum opening width of each crack in each borehole wall image, and directly associates the crack features with specific physical indicators, thus solving the problem of relying on abstract image features for scoring and lacking physical indicator support in the existing technology.
[0043] 2. By setting weight parameters and calculating fracture analysis values, a quantitative evaluation system based on the specific characteristics of each fracture was constructed. This system can intuitively reflect the differentiated impact of different fractures on rock mass strength, upgrading rock mass integrity evaluation from an abstract description to a calculable and verifiable quantitative result. It also upgrades rock mass integrity evaluation from a qualitative description to a quantitative judgment, solving the problems of vague and subjective traditional evaluation results. This provides accurate data support for surrounding rock stability assessment and can directly serve the precise design of support schemes. It can match targeted support parameters for different rock mass zones, improving the scientific nature of engineering decisions.
[0044] 3. This invention does not rely on complex neural network model training and massive labeled data, avoiding stability issues caused by training data bias affecting model performance. The operation process is simpler, and it can maintain stable evaluation accuracy in different mining environments and engineering scenarios, making it more adaptable. Attached Figure Description
[0045] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0046] Figure 1 This is a schematic diagram of a mining borehole inspection device according to a specific embodiment of the present invention;
[0047] Figure 2 This is a schematic cross-sectional view of the pushing mechanism during retraction in a specific embodiment of the present invention. Figure 1 ;
[0048] Figure 3 This is a schematic cross-sectional view of the pushing mechanism when it is extended according to a specific embodiment of the present invention. Figure 2 ;
[0049] Figure 4 This is a schematic diagram of the structure of the viewing probe according to a specific embodiment of the present invention.
[0050] List of components and reference numerals:
[0051] 1. Panoramic camera; 2. Main unit; 3. Pushing mechanism; 31. Probe handle; 32. Telescopic probe; 321. Sleeve body; 322. Housing; 323. Rack; 324. Gear; 325. Drive motor; 326. Output shaft; 33. Peeping probe; 34. Transparent probe cover; 35. Heating device; 36. Temperature sensor; 37. Switch control panel; 371. Power switch; 372. Probe lifting button; 373. Probe heating button. Detailed Implementation
[0052] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the specific embodiments. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0053] Reference Figure 1-4 This embodiment proposes a mining borehole inspection device, including a detection component and a pushing mechanism 3. The detection component includes a panoramic camera 1 and a host 2. The panoramic camera 1 is electrically connected to the host 2. The panoramic camera 1 is used to acquire borehole wall images within a preset depth range. For example, the preset depth range is 0-h, the borehole diameter is r, and the borehole wall image is an unfolded diagram with a size of h×2πr.
[0054] The pushing mechanism 3 is capable of extending and retracting along the borehole axis to push the panoramic camera 1. The pushing mechanism 3 includes a probe handle 31, one end of which is connected to a telescopic probe 32. The end of the telescopic probe 32 away from the probe handle 31 is connected to a viewing probe 33, on which the panoramic camera 1 is mounted. A transparent probe cover 34 is provided on the outside of the viewing probe 33. A heating device 35 is provided on the side of the viewing probe 33 near the telescopic probe 32. A temperature sensor 36 is connected to the inner wall of the transparent probe cover 34. The temperature sensor 36 is electrically connected to the heating device 35. The temperature sensor 36 is an intrinsically safe temperature sensor, and the temperature measured by the temperature sensor 36 can be used to indicate the temperature inside the borehole.
[0055] The telescopic probe 32 includes a sleeve assembly, which comprises several sleeve bodies 321 coaxially fitted from the outside in. One end of the outermost sleeve body 321 is fixedly connected to the probe handle 31, and the other end is fixedly connected to the housing 322. The innermost sleeve body 321, located away from the probe handle 31, is connected to a rack 323. The axial direction of the sleeve body 321 is consistent with the length direction of the rack 323. The viewing probe 33 is installed at the end of the rack 323 away from the probe handle 31. The housing 322 contains a gear 324 and a drive motor 325. The gear 324 is a micro gear 324 that meshes with the rack 323. The gear 324 is coaxially fixedly connected to the output shaft 326 of the drive motor 325. The drive motor 325 can drive the viewing probe 33 to automatically rise or fall at a uniform speed. The lifting speed can be preset on the host 2, so that the recording time of each panoramic camera 1 corresponds to the depth range of each image acquisition, which makes it easy to accurately control the drilling depth covered by each hole wall image.
[0056] The probe handle 31 is equipped with a switch control panel 37, which includes a power switch 371, a probe lifting button 372, and a probe heating button 373. The probe lifting button 372 is electrically connected to the drive motor 325 of the telescopic probe 32, and the probe heating button 373 is electrically connected to the heating device 35. The power switch 371 is used to control the power supply of the entire device. When the power switch 371 is turned on, each component is in standby mode.
[0057] The host 2 includes a data processing unit, which is configured to: receive borehole wall images, identify each fracture in the borehole wall images, classify fracture types based on the maximum opening width of each fracture, count the number of each type of fracture in the borehole wall images, set the weight parameters corresponding to each type of fracture, calculate fracture analysis values based on the weight parameters of each type of fracture and the number of each type of fracture, and determine the rock mass zoning results based on the fracture analysis values.
[0058] In this embodiment, the fracture types include open fractures, slightly open fractures, and near-closed fractures. The maximum opening width of a single open fracture is greater than or equal to 3 mm, the maximum opening width of a single slightly open fracture is greater than or equal to 1 mm and less than 3 mm, and the maximum opening width of a single near-closed fracture is less than 1 mm. The number of open fractures is... The number of micro-opening cracks is The number of near-closed fractures is The weighting parameter for open-type cracks is α, the weighting parameter for slightly open-type cracks is β, and the weighting parameter for near-closed cracks is γ, where α + β + γ = 1.
[0059] Different types of fissures have significantly different effects on rock mass stability. Open fissures significantly reduce the integrity and bearing capacity of the rock mass, and have the strongest destructive effect on rock mass stability. In the practice of mining and underground engineering construction, open fissures are often an important factor leading to the instability of surrounding rock and causing safety accidents. Micro-open fissures have a slightly lower impact on rock mass stability, while near-closed fissures have a relatively smaller impact on rock mass stability.
[0060] The service life of different types of roadways varies significantly, directly affecting the requirements for rock mass stability. For example, development roadways are built at the beginning of a coal mine and will be used until the mine is closed; their service life is as long as the mine itself, 50-60 years. Preparation roadways serve mining areas and are specifically used for mining operations in a particular area, with a service life of 10-20 years. Recovery roadways are used to form and serve the coal face during coal mining operations, with a service life of only 1-3 years. The longer the service life, the more critical the function of the roadway throughout the entire project lifecycle, the higher the requirements for surrounding rock stability, and the more stringent the requirements for safety risk avoidance. At the same time, in roadways with long service lives, fractures in the rock mass (especially open fractures) may further expand under the influence of long-term stress and groundwater erosion, and the destructive effect on rock mass stability will accumulate over time.
[0061] Therefore, for roadways used for a long time, it is necessary to increase the weighting parameter for open-type fractures, which pose a greater risk, to more sensitively reflect their potential risks and ensure that the evaluation results can meet the needs of long-term safety management.
[0062] Therefore, this embodiment adjusts the weighting parameters of various types of cracks in conjunction with the service life of the roadway, making the crack analysis values more closely reflect the actual service requirements of the roadway. Specifically:
[0063] (1) Development roadway: Due to its long service life and high importance, the weight parameter α for open fractures is 50%-70%, the weight parameter β for slightly open fractures is 20%-40%, and the weight parameter γ for near-closed fractures is 5%-15%. This setting makes it easier to determine the rock mass zoning results as a fractured zone, thereby matching more stringent support measures;
[0064] (2) Roadway preparation: The weighting parameter α for open fractures is 30%-50%, the weighting parameter β for slightly open fractures is 30%-40%, and the weighting parameter γ for near-closed fractures is 10%-20%;
[0065] (3) Mining roadway: The weight parameter α for open fractures is 10%-30%, the weight parameter β for slightly open fractures is 40%-50%, and the weight parameter γ for near-closed fractures is 20%-40%.
[0066] The fracture analysis value is calculated based on the weight parameter of each fracture type and the number of each fracture type, including: the fracture analysis value is ζ, ζ = (α × +β× +γ× ) / 10;
[0067] The rock mass zoning results based on the fracture analysis values are as follows: if ζ>2, the rock mass zoning is determined to be a fractured zone; if 1≦ζ≦2, the rock mass zoning is determined to be a slightly fractured zone; if ζ<1, the rock mass zoning is determined to be a intact zone.
[0068] This embodiment sets weight parameters differently based on the service life of the roadway, which makes the rock mass zoning judgment based on the fracture analysis value ζ more in line with the actual needs of different roadways, and provides a more accurate basis for support scheme design and maintenance cycle planning.
[0069] The following examples will illustrate this:
[0070] Example 1: Assume the number of fractures within a predetermined depth range of a borehole is: open fractures ( =5 lines, micro-opening type cracks ( =4 cracks, nearly closed cracks ( = 3 items.
[0071] For the development roadway, the preset values are α=60%, β=30%, γ=10%, and the fracture analysis value ζ=(0.6×5+0.3×4+0.1×3) / 10=(3+1.2+0.3) / 10=4.5 / 10=0.45. Since ζ=0.45<1, the rock mass zoning judgment result is a complete zone.
[0072] For the prepared roadway, the preset values are α=40%, β=35%, γ=15%, and the fracture analysis value ζ=(0.4×5+0.35×4+0.15×3) / 10=(2+1.4+0.45) / 10=3.85 / 10=0.385. Since ζ=0.385<1, the rock mass zoning judgment result is a complete zone.
[0073] For the mining roadway, with preset α=20%, β=45%, γ=35%, the fracture analysis value ζ=(0.2×5+0.45×4+0.35×3) / 10=(1+1.8+1.05) / 10=3.85 / 10=0.385. Since ζ=0.385<1, the rock mass zoning judgment result is a complete zone.
[0074] Example 2: Assume the number of fractures within a predetermined depth range of a borehole is: open fractures ( =25, micro-opening cracks ( =18 cracks, nearly closed cracks ( = 7 items.
[0075] For the development roadway, with preset α=70%, β=20%, γ=10%, the fracture analysis value ζ=(0.7×25+0.2×18+0.1×7) / 10=(17.5+3.6+0.7) / 10=21.8 / 10=2.18. Since ζ=2.18>2, the rock mass zoning judgment result is a fractured zone.
[0076] For the prepared roadway, the preset values are α=40%, β=35%, γ=25%, and the fracture analysis value ζ=(0.4×25+0.35×18+0.25×7) / 10=(10+6.3+1.75) / 10=18.05 / 10=1.805, 1<1.805<2, and the rock mass zoning judgment result is a slightly fractured zone.
[0077] For the mining roadway, with preset α=10%, β=40%, γ=50%, the fracture analysis value ζ=(0.1×25+0.4×18+0.5×7) / 10=(2.5+7.2+3.5) / 10=13.2 / 10=1.32. Since 1<1.32<2, the rock mass zoning judgment result is a slightly fractured zone.
[0078] Example 2 also shows that even if the number of each type of fracture is the same, the results of rock mass zoning may be different in different roadways.
[0079] The working process of the mine borehole inspection device is as follows:
[0080] Turn on the power switch 371 and preset the detection parameters on the host 2, including the preset detection depth range of the borehole, the lifting speed of the telescopic probe 32, and the weight parameters α, β, and γ of the fracture type.
[0081] The operator holds the probe handle 31 and aligns the viewing probe 33 with the borehole entrance. The telescopic probe 32 is activated via the probe raising / lowering button 372 on the control panel 37: the drive motor 325 rotates the gear 324, which meshes with the rack 323, causing the sleeve assembly to extend along the borehole axis, pushing the viewing probe 33 into the borehole. The sleeve assembly ensures smooth probe extension and retraction, avoiding the swaying of traditional flexible probes, and ensuring the panoramic camera 1 moves at a uniform speed along the borehole axis, accurately covering the preset depth range.
[0082] When there is a large temperature difference inside the borehole, the temperature sensor 36 on the inner wall of the transparent probe cover 34 monitors the borehole temperature in real time. If a sudden temperature change causes water vapor to form on the inner wall of the probe cover, the temperature sensor 36 sends a signal to the heating device 35 to automatically start heating, or it can be manually turned on via the probe heating button 373 to adjust the temperature of the viewing probe 33 to match the ambient temperature inside the borehole, eliminating the interference of water vapor on image acquisition. The transparent probe cover 34 can also physically isolate dust, rock cuttings, and water droplets inside the borehole, avoiding lens contamination and ensuring clear images.
[0083] As the telescopic probe 32 extends at a constant speed, the panoramic camera 1, installed inside the viewing probe 33, starts synchronously, continuously acquiring borehole wall images within a preset depth range. The panoramic camera 1 can capture 360° annular borehole wall information, generating an unfolded planar image, i.e., the borehole wall image. The host 2 receives and stores the borehole wall images in real time, providing raw data for subsequent analysis.
[0084] The data processing unit of host 2 processes the acquired hole wall images in the following way:
[0085] Each crack in the borehole wall image is identified, and the crack type is classified based on the maximum opening width of each crack. Specifically, the crack type is classified according to the maximum opening width of the crack using an image recognition algorithm.
[0086] Count the number of the three types of cracks separately, and record the number of opening cracks as follows: The number of micro-opening cracks is denoted as The number of near-closed fractures is denoted as ;
[0087] Through the formula ζ=(α× +β× +γ× ) / 10, calculate the fracture analysis value ζ;
[0088] Based on the fracture analysis value ζ, the rock mass zone corresponding to each borehole wall image is defined. If ζ>2, the rock mass zone is judged as a fractured zone; if 1≦ζ≦2, the rock mass zone is judged as a slightly fractured zone; if ζ<1, the rock mass zone is judged as a intact zone.
[0089] Finally, by reversing the operation of the probe lifting key 372, the drive motor 325 drives the gear 324 to reverse, the sleeve shaft assembly retracts, and the inspection probe 33 is uniformly and smoothly retracted from the borehole to the initial position.
[0090] This embodiment also proposes a method for testing and evaluating the integrity of rock masses, including the following steps:
[0091] S1. Acquire and receive borehole wall images within a preset borehole depth range;
[0092] S2. Identify each crack in the borehole wall image, classify the crack type based on the maximum opening width of each crack, count the number of each type of crack in the borehole wall image, and set the weight parameter corresponding to each type of crack.
[0093] S3. Calculate the fracture analysis value based on the weight parameter of each fracture type and the number of each fracture type;
[0094] S4. Determine the rock mass zoning results based on the fracture analysis values.
[0095] S5. After grouting the surrounding rock, repeat steps S1-S3 to obtain the fracture analysis values after grouting.
[0096] After grouting, the original internal fissures of the surrounding rock will be filled with grout to varying degrees, and the three types of fissures will be redistributed. By comparing the fissure analysis values after grouting with the original fissure analysis values, the fissure reduction rate can be obtained. The fissure reduction rate can be used to analyze and evaluate the strengthening effect of grouting on the surrounding rock.
[0097] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A mining borehole inspection device, comprising a detection component, characterized in that, The detection component includes a panoramic camera (1) and a host (2). The panoramic camera (1) is electrically connected to the host (2). The panoramic camera (1) is used to collect images of the borehole wall within a preset depth range of the borehole. The host (2) includes a data processing unit, which is configured to: receive borehole wall images, identify each fracture in the borehole wall images, classify fracture types based on the maximum opening width of each fracture, count the number of each type of fracture in the borehole wall images, calculate fracture analysis values based on the preset weight parameters of each type of fracture and the number of each type of fracture, and determine the rock mass zoning results based on the fracture analysis values. Among them, the fracture types include open fractures, micro-open fractures and near-closed fractures. The maximum opening width of open fractures is greater than or equal to 3 mm, the maximum opening width of micro-open fractures is greater than or equal to 1 mm and less than 3 mm, and the maximum opening width of near-closed fractures is less than 1 mm. The number of open-type cracks is The number of micro-opening cracks is The number of near-closed fractures is ; The weight parameters for open-type fractures, micro-open-type fractures, and near-closed fractures are determined based on the current service life of the roadway. The weighting parameter for open-type cracks is α, the weighting parameter for slightly open-type cracks is β, and the weighting parameter for near-closed cracks is γ, where α+β+γ=1; The fracture analysis value is calculated based on the weight parameter of each fracture type and the number of each fracture type, including: the fracture analysis value is ζ, ζ = (α × +β× +γ× ) / 10; The rock mass zoning results based on the fracture analysis values are as follows: if ζ>2, the rock mass zoning is determined to be a fractured zone; if 1≦ζ≦2, the rock mass zoning is determined to be a slightly fractured zone; if ζ<1, the rock mass zoning is determined to be a intact zone.
2. The mining borehole inspection device according to claim 1, characterized in that, It also includes a push mechanism (3), which can extend and retract along the borehole axis to push the panoramic camera (1).
3. A mining borehole inspection device according to claim 2, characterized in that, The pushing mechanism (3) includes a probe handle (31), one end of which is connected to a telescopic probe (32), and the end of the telescopic probe (32) away from the probe handle (31) is connected to a viewing probe (33). A panoramic camera (1) is installed on the viewing probe (33).
4. A mining borehole inspection device according to claim 3, characterized in that, The outside of the viewing probe (33) is provided with a transparent probe cover (34).
5. A mining borehole inspection device according to claim 4, characterized in that, A heating device (35) is provided on the side of the viewing probe (33) close to the telescopic probe rod (32). A temperature sensor (36) is connected to the inner wall of the transparent probe cover (34). The temperature sensor (36) is electrically connected to the heating device (35).
6. A mining borehole inspection device according to claim 5, characterized in that, The probe handle (31) is equipped with a switch control panel (37). The switch control panel (37) includes a power switch (371), a probe lifting button (372), and a probe heating button (373). The probe lifting button (372) is electrically connected to the telescopic probe (32), the probe heating button (373) is electrically connected to the heating device (35), and the power switch (371) is used to control the power supply.
7. A mining borehole inspection device according to claim 3, characterized in that, The telescopic probe (32) includes a sleeve assembly, which includes several sleeve bodies (321) that are coaxially connected from the outside to the inside. One end of the sleeve body (321) located at the outermost part of the sleeve assembly is fixedly connected to the probe handle (31), and the other end is fixedly connected to the housing (322); The innermost sleeve body (321) of the sleeve assembly is connected to the rack (323) at the end away from the probe handle (31). The axial direction of the sleeve body (321) is consistent with the length direction of the rack (323). The housing (322) is equipped with a gear (324) and a drive motor (325). The gear (324) meshes with the rack (323). The gear (324) and the output shaft (326) of the drive motor (325) are coaxially fixedly connected.
8. A method for testing and evaluating the integrity of rock mass, characterized in that, Includes the following steps: S1. Acquire and receive borehole wall images within a preset borehole depth range; S2. Identify each crack in the borehole wall image, classify the crack type based on the maximum opening width of each crack, count the number of each type of crack in the borehole wall image, and set the weight parameter corresponding to each type of crack. Among them, the fracture types include open fractures, micro-open fractures and near-closed fractures. The maximum opening width of open fractures is greater than or equal to 3 mm, the maximum opening width of micro-open fractures is greater than or equal to 1 mm and less than 3 mm, and the maximum opening width of near-closed fractures is less than 1 mm. The number of open-type cracks is The number of micro-opening cracks is The number of near-closed fractures is ; The weight parameters for open-type fractures, micro-open-type fractures, and near-closed fractures are determined based on the current service life of the roadway. The weighting parameter for open-type cracks is α, the weighting parameter for slightly open-type cracks is β, and the weighting parameter for near-closed cracks is γ, where α+β+γ=1; S3. Calculate the fracture analysis value based on the weight parameter of each fracture type and the number of each fracture type; The fracture analysis value is ζ, ζ = (α × +β× +γ× ) / 10; S4. Determine the rock mass zoning results based on the fracture analysis values; if ζ>2, the rock mass zoning is determined to be a fractured zone; if 1≦ζ≦2, the rock mass zoning is determined to be a slightly fractured zone; if ζ<1, the rock mass zoning is determined to be a intact zone.
9. The method for testing and evaluating the integrity of rock mass according to claim 8, characterized in that, It also includes the following steps: S5. After grouting the surrounding rock, repeat steps S1-S3 to obtain the fracture analysis values after grouting.
Citation Information
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