Detection device and method for determining roughness coefficient of rock mass structural surface

Abstract

The invention belongs to the technical field of rock mechanics, and particularly relates to a detection device and method for determining the roughness coefficient of a rock mass structural plane, and the detection device is characterized in that the detection device comprises a workbench, a computer and a horizontal displacement sliding table which are arranged on the workbench, and a laser controller which is connected with the computer through a transmission data line; and the laser displacement sensor is connected with the laser controller through a laser data line, the laser displacement sensor is arranged above the horizontal displacement sliding table, and a camera is further arranged above the horizontal displacement sliding table. According to the invention, accurate measurement of the roughness coefficient of the rock mass structural surface is realized; a detailed rock surface roughness curve can be drawn and compared with a standard roughness grade curve, so that the JRC value of the rock mass is accurately determined, subjective errors and differences caused by traditional manual measurement are overcome, the moving speed of the horizontal displacement sliding table can be dynamically adjusted, the accuracy and consistency of data acquisition are ensured, and the measurement accuracy is improved. And objectivity and accuracy of rock mass structural surface roughness coefficient measurement are improved.

Description

Technical Field

[0001] This invention belongs to the technical field of rock mechanics, and in particular relates to a detection device and method for determining the roughness coefficient of rock mass structural surfaces. Background Technology

[0002] To differentiate between good and bad rock mass quality in engineering design and construction, it is necessary to classify rock mass quality appropriately. This classification serves as one of the bases for selecting engineering structural design parameters, scientifically managing production, and evaluating economic benefits, and is also a fundamental engineering aspect of rock mechanics and engineering applications. The joint roughness coefficient (JRC) of rock mass is one of the important indicators for determining the Q value of the Barton rock mass quality classification index. In 1977, based on extensive model tests and field observations, N. Barton proposed a 10-level rock mass structural surface roughness coefficient (JRC) value to describe the roughness of the structural surface, and proposed a standard roughness grade profile curve. This curve divides the JRC value into 10 intervals, with JRC values ​​ranging from 0 to 20. In practical applications, the actual structural surface profile curve is compared with the standard roughness grade profile curve to determine the JRC value. To quantitatively determine the roughness coefficient, the structural surface roughness curve is usually measured and plotted manually. However, manual estimation of the JRC value introduces many subjective factors, resulting in significant errors and variability.

[0003] Therefore, it is necessary to design a detection device and method for determining the roughness coefficient of rock mass structural surfaces in order to solve the problems existing in the current technology. Summary of the Invention

[0004] The purpose of this invention is to provide a detection device and method for determining the surface roughness coefficient of rock mass, to solve the problems existing in the current technology, to make reasonable classification of rock mass quality, and to serve as a basis for selecting engineering structure design parameters, scientifically managing production, and evaluating economic benefits.

[0005] The objective of this invention is achieved through the following technical solution: The present invention relates to a detection device for determining the surface roughness coefficient of rock mass, comprising a worktable, a computer and a horizontal displacement slide mounted on the worktable, a laser controller connected to the computer via a data transmission cable, a laser displacement sensor connected to the laser controller via a laser data cable, the laser displacement sensor being mounted above the horizontal displacement slide via a laser bracket, and a camera also being mounted above the horizontal displacement slide. The horizontal displacement slide includes a slide base, a circular slider disposed on the upper surface of the slide base, a scale and a knob disposed on the side of the slide base. The computer is equipped with a processing module and a control module. The control module is electrically connected to the horizontal displacement slide, laser controller, camera, and processing module. The control module includes an acquisition unit, a judgment unit, a processing unit, and a detection unit. The acquisition unit is configured to capture image data of the upper surface of the rock mass to be detected by the camera, obtain the rock surface undulation distribution density based on the image data, and determine the moving speed of the horizontal displacement slide based on the rock surface undulation distribution density. The judgment unit is configured to control the horizontal displacement slide to move horizontally, and based on the height data of each point on a cross section of the rock surface collected by the laser displacement sensor, plot a rock surface roughness curve, compare the rock surface roughness curve with the undulation data in the image data, and determine whether to adjust the moving speed of the horizontal displacement slide according to the comparison result. The processing unit is configured to, after the judgment unit determines whether to adjust the moving speed of the horizontal displacement slide, collect height data at three different cross-sections of the rock surface using the laser displacement sensor, plot the rock surface roughness curve for each cross-section, analyze the rock surface roughness curve for each cross-section, and determine whether the cross-section is qualified. The detection unit is configured to determine the roughness level of the rock mass to be tested based on the set of rock surface roughness curves and standard curves of each cross section when the processing unit determines that the cross section is qualified.

[0006] A parallel light emitter is also provided above the horizontal displacement slide, which is used to obliquely illuminate the rock mass to be detected when the camera captures image data.

[0007] When the acquisition unit obtains the rock surface undulation distribution density based on the image data, the acquisition unit obtains the gray value of each point in the image based on the image data, compares the gray value of each point with the gray value threshold, and when the gray value is greater than the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is large. When the gray value is less than or equal to the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is small. The proportion of areas with large rock surface undulation is counted to obtain the rock surface undulation distribution density.

[0008] When the acquisition unit determines the moving speed of the horizontal displacement slide based on the distribution density of rock surface undulations, the acquisition unit compares the distribution density of rock surface undulations with a first preset density and a second preset density respectively. The first preset density is less than the second preset density. The moving speed of the horizontal displacement slide is determined based on the comparison result. When the density of rock surface undulations is less than or equal to the first preset density, the acquisition unit determines the moving speed of the horizontal displacement slide as the first preset moving speed; when the density of rock surface undulations is greater than the first preset density and less than or equal to the second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide as the second preset moving speed; when the density of rock surface undulations is greater than the second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide as the third preset moving speed. The first preset moving speed is greater than the second preset moving speed, and the second preset moving speed is greater than the third preset moving speed.

[0009] When the judgment unit compares the rock surface roughness test curve with the undulation data in the image data and determines whether to adjust the moving speed based on the comparison result, the judgment unit obtains the number of laser detection bumps based on the rock surface roughness test curve, obtains the number of camera detection bumps based on the image data, compares the number of laser detection bumps with the number of camera detection bumps, and determines whether to adjust the moving speed based on the comparison result. When the number of camera-detected bumps is greater than the number of laser-detected bumps, it is determined that the moving speed of the horizontal displacement slide should be adjusted.

[0010] When the judgment unit determines that the moving speed of the horizontal displacement slide needs to be adjusted, the judgment unit obtains a data difference based on the number of camera-detected bumps and the number of laser-detected bumps, compares this data difference with a first preset data difference and a second preset data difference, and determines an adjustment coefficient based on the comparison result to adjust the moving speed of the horizontal displacement slide. The adjustment coefficient is inversely proportional to the data difference.

[0011] The processing unit analyzes the rock surface roughness curve of each section and determines whether the section is qualified. The processing unit obtains the height difference between the highest and lowest positions of each section based on the rock surface roughness curve of each section, compares the height difference of each section with a preset height difference threshold, and determines whether the section is qualified based on the comparison result. When the height difference of each section is less than or equal to the preset height difference threshold, the section is deemed qualified.

[0012] When the detection unit determines the roughness level of the rock mass to be tested based on the rock surface roughness curves of each cross section and the standard curve set, the detection unit fits three rock surface roughness curves to obtain the rock surface curve to be tested, calculates the similarity between the rock surface curve to be tested and each curve in the standard curve set, and selects the roughness level corresponding to the standard curve with the highest similarity value as the roughness level of the rock mass to be tested 7.

[0013] A method for determining the roughness coefficient of a rock mass structural surface, applied in the detection device for determining the roughness coefficient of a rock mass structural surface as described in any one of claims 1-8, characterized in that it comprises: S100: Based on image data of the upper surface of the rock mass to be detected captured by a camera, the rock surface undulation distribution density is obtained according to the image data, and the moving speed of the horizontal displacement slide is determined according to the rock surface undulation distribution density. S200: Control the horizontal displacement slide to move horizontally, and collect the height data of each point in a cross section of the rock surface based on the laser displacement sensor, draw the rock surface test roughness curve, compare the rock surface test roughness curve with the undulation data in the image data, and determine whether to adjust the moving speed of the horizontal displacement slide based on the comparison result; S300: After determining whether to adjust the moving speed of the horizontal displacement slide, the height data of each point at three different cross sections of the rock surface are collected based on the laser displacement sensor, and the rock surface roughness curves of each cross section are plotted respectively. The rock surface roughness curves of each cross section are analyzed to determine whether the cross section is qualified. S400: When the cross section is deemed qualified, the roughness grade of the rock mass to be tested is determined based on the set of rock surface roughness curves and standard curves for each cross section.

[0014] Advantages of this invention: The present invention provides a detection device and method for determining the roughness coefficient of rock mass structural surfaces. By introducing a laser displacement sensor, a laser controller, a horizontal displacement slide, a camera, a processing module, and a control module, it achieves accurate measurement of the roughness coefficient of rock mass structural surfaces. By acquiring image data of the rock mass surface through the camera and combining it with the height data acquired by the laser displacement sensor, a detailed rock surface roughness curve can be plotted and compared with a standard roughness grade curve, thereby accurately determining the JRC value of the rock mass. This overcomes the subjective errors and variability caused by traditional manual measurement, and can dynamically adjust the moving speed of the horizontal displacement slide to ensure the accuracy and consistency of data acquisition, thus improving the objectivity and accuracy of the measurement of the roughness coefficient of rock mass structural surfaces. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of the present invention.

[0016] Figure 2 This is a structural diagram of the horizontal displacement slide of the present invention.

[0017] Figure 3 A flowchart illustrating the detection method for determining the roughness coefficient of rock mass structural surfaces, provided in an embodiment of the present invention.

[0018] The components include: 1. Workbench; 2. Computer; 3. Laser controller; 4. Laser displacement sensor; 5. Laser support; 6. Horizontal displacement slide; 7. Rock mass to be tested; 8. Data transmission cable; 9. Laser data cable; 10. Circular slider; 11. Ruler; 12. Knob; and 13. Slide base. Detailed Implementation

[0019] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0020] like Figure 1-3 As shown, the detection device for determining the surface roughness coefficient of rock mass according to the present invention includes a worktable 1, a computer 2 and a horizontal displacement slide 6 mounted on the worktable 1, a laser controller 3 connected to the computer 2 via a data transmission cable 8, and a laser displacement sensor 4 connected to the laser controller 3 via a laser data cable 9. The laser displacement sensor 4 is mounted above the horizontal displacement slide 6 via a laser bracket 5. A camera is also mounted above the horizontal displacement slide 6. The horizontal displacement slide 6 includes a slide base 13, a circular slider 10 disposed on the upper surface of the slide base 13, a scale 11 and a knob 12 disposed on the side of the slide base 13. The computer 2 is equipped with a processing module and a control module. The control module is electrically connected to the horizontal displacement slide 6, the laser controller 3, the camera, and the processing module. The control module includes an acquisition unit, a judgment unit, a processing unit, and a detection unit. The acquisition unit is configured to acquire image data of the upper surface of the rock mass to be detected based on the camera, obtain the rock surface undulation distribution density based on the image data, and determine the moving speed of the horizontal displacement slide 6 based on the rock surface undulation distribution density. The judgment unit is configured to control the horizontal displacement slide 6 to move horizontally, and based on the height data of each point on a cross section of the rock surface collected by the laser displacement sensor 4, to plot a rock surface roughness curve, compare the rock surface roughness curve with the undulation data in the image data, and determine whether to adjust the moving speed of the horizontal displacement slide 6 based on the comparison result. The processing unit is configured to, after the judgment unit determines whether to adjust the moving speed of the horizontal displacement slide 6, collect height data at three different cross-sections of the rock surface using the laser displacement sensor 4, plot the rock surface roughness curves for each cross-section, analyze the rock surface roughness curves for each cross-section, and determine whether the cross-section is qualified. The detection unit is configured to determine the roughness level of the rock mass 7 to be tested based on the set of rock surface roughness curves and standard curves of each cross section when the processing unit determines that the cross section is qualified.

[0021] A parallel light emitter is also provided above the horizontal displacement slide 6, which is used to obliquely illuminate the rock mass 7 to be detected when the camera captures image data.

[0022] When the acquisition unit obtains the rock surface undulation distribution density based on the image data, the acquisition unit obtains the gray value of each point in the image based on the image data, compares the gray value of each point with the gray value threshold, and when the gray value is greater than the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is large. When the gray value is less than or equal to the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is small. The proportion of areas with large rock surface undulation is counted to obtain the rock surface undulation distribution density.

[0023] When the acquisition unit determines the moving speed of the horizontal displacement slide 6 based on the distribution density of rock surface undulations, the acquisition unit compares the distribution density of rock surface undulations with a first preset density and a second preset density respectively. The first preset density is less than the second preset density. The moving speed of the horizontal displacement slide 6 is determined based on the comparison result. When the density of rock surface undulations is less than or equal to the first preset density, the acquisition unit determines the moving speed of the horizontal displacement slide 6 as the first preset moving speed; when the density of rock surface undulations is greater than the first preset density and less than or equal to the second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide 6 as the second preset moving speed; when the density of rock surface undulations is greater than the second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide 6 as the third preset moving speed. The first preset moving speed is greater than the second preset moving speed, and the second preset moving speed is greater than the third preset moving speed.

[0024] When the judgment unit compares the rock surface roughness test curve with the undulation data in the image data and determines whether to adjust the moving speed based on the comparison result, the judgment unit obtains the number of laser detection bumps based on the rock surface roughness test curve, obtains the number of camera detection bumps based on the image data, compares the number of laser detection bumps with the number of camera detection bumps, and determines whether to adjust the moving speed based on the comparison result. When the number of camera-detected bumps is greater than the number of laser-detected bumps, it is determined that the moving speed of the horizontal displacement slide 6 should be adjusted. When the number of camera-detected bumps is less than or equal to the number of laser-detected bumps, it is determined that the moving speed of the horizontal displacement slide 6 will not be adjusted.

[0025] When the judgment unit determines that the moving speed of the horizontal displacement slide 6 needs to be adjusted, the judgment unit obtains the data difference based on the number of camera-detected bumps and the number of laser-detected bumps, compares this data difference with the first preset data difference and the second preset data difference respectively, and determines the adjustment coefficient based on the comparison result to adjust the moving speed of the horizontal displacement slide 6. The adjustment coefficient is inversely proportional to the data difference.

[0026] The processing unit analyzes the rock surface roughness curve of each section and determines whether the section is qualified. The processing unit obtains the height difference between the highest and lowest positions of each section based on the rock surface roughness curve of each section, compares the height difference of each section with a preset height difference threshold, and determines whether the section is qualified based on the comparison result. When the height difference of each section is less than or equal to the preset height difference threshold, the section is deemed qualified. If the height difference of at least one cross section is greater than the preset height difference threshold, the cross section is determined to be unqualified.

[0027] When the processing unit determines that a cross section is unqualified, it determines the number of unqualified cross sections, reselects the cross section location, detects the height data of each point on the cross section, and draws the rock surface roughness curve of the cross section until the height difference of the three cross sections is less than or equal to the preset height difference threshold.

[0028] When the detection unit determines the roughness level of the rock mass 7 to be tested based on the rock surface roughness curves of each cross section and the standard curve set, the detection unit fits three rock surface roughness curves to obtain the rock surface curve to be tested, calculates the similarity between the rock surface curve to be tested and each curve in the standard curve set, and selects the roughness level corresponding to the standard curve with the highest similarity value as the roughness level of the rock mass 7 to be tested.

[0029] A method for determining the roughness coefficient of a rock mass surface, applied in the aforementioned detection device for determining the roughness coefficient of a rock mass surface, includes: Based on image data of the upper surface of the rock mass to be detected captured by the camera, the rock surface undulation distribution density is obtained according to the image data, and the moving speed of the horizontal displacement slide 6 is determined according to the rock surface undulation distribution density. The horizontal displacement slide 6 is controlled to move horizontally, and the height data of each point in a cross section of the rock surface is collected based on the laser displacement sensor 4. The rock surface test roughness curve is plotted, and the rock surface test roughness curve is compared with the undulation data in the image data. Based on the comparison result, it is determined whether to adjust the moving speed of the horizontal displacement slide 6. After determining whether to adjust the moving speed of the horizontal displacement slide 6, the laser displacement sensor 4 collects height data at three different cross-sections of the rock surface, plots the rock surface roughness curves of each cross-section, analyzes the rock surface roughness curves of each cross-section, and determines whether the cross-section is qualified. When the cross section is deemed qualified, the roughness grade of the rock mass 7 to be tested is determined based on the set of rock surface roughness curves and standard curves of each cross section.

[0030] In some embodiments of this application, see Figure 1-2 As shown, a detection device for determining the roughness coefficient of a rock mass surface includes: a laser displacement sensor 4, a laser controller 3, a horizontal displacement slide 6, a camera, a processing module, and a control module. The control module is electrically connected to the horizontal displacement slide 6, the laser controller 3, the camera, and the processing module. The control module includes an acquisition unit, a judgment unit, a processing unit, and a detection unit.

[0031] The acquisition unit is configured to acquire image data of the upper surface of the rock mass 7 to be inspected based on the camera, obtain the rock surface undulation distribution density based on the image data, and determine the moving speed of the horizontal displacement slide 6 based on the rock surface undulation distribution density.

[0032] The judgment unit is configured to control the horizontal displacement slide 6 to move horizontally, and to collect the height data of each point in a cross section of the rock surface based on the laser displacement sensor 4, to draw the rock surface test roughness curve, to compare the rock surface test roughness curve with the undulation data in the image data, and to determine whether to adjust the moving speed based on the comparison result.

[0033] The processing unit is configured to, after the judgment unit determines whether to adjust the moving speed, collect height data of each point at three different cross sections of the rock surface based on the laser displacement sensor 4, draw the rock surface roughness curve of each cross section, analyze the rock surface roughness curve of each cross section, and determine whether the cross section is qualified.

[0034] The detection unit is configured to determine the roughness level of the rock mass 7 to be tested based on the set of rock surface roughness curves and standard curves of each cross section when the processing unit determines that the cross section is qualified.

[0035] Specifically, the detection device for determining the surface roughness coefficient of rock mass mainly includes a laser displacement sensor 4, a laser controller 3, a horizontal displacement slide 6, a camera, a processing module, and a control module. In practical applications, auxiliary components are also included, such as a worktable 1, a laser data cable 9, and a transmission data cable 8. In application, the control module and processing module can be housed in a computer 2, for example, as a program. The rock mass 7 to be detected is placed on the horizontal displacement slide 6. The laser displacement sensor 4 is mounted above the rock mass 7 via a laser bracket 5. The laser displacement sensor 4 is connected to the laser controller 3 via the laser data cable 9, and the laser controller 3 is connected to the computer 2 via the transmission data cable 8. The acquisition unit obtains the density of rock surface undulations based on image data captured by the camera and determines the moving speed of the horizontal displacement slide 6 based on this density. When the horizontal displacement slide 6 moves, the circular slider 10 is controlled to move horizontally along the slide base 13 by rotating the knob 12. The moving distance can be observed by measuring the scale 11. The judgment unit controls the horizontal movement of the horizontal displacement slide 6. During measurement, the horizontal movement of the horizontal displacement slide 6 moves the rock mass 7 to be inspected. The laser displacement sensor 4 measures the distance from the upper surface of the rock mass. Based on the distance data, the roughness curve of a cross-section of the rock mass is obtained and compared with the undulation data in the image data to determine whether the moving speed needs to be adjusted. After the judgment unit determines whether the moving speed needs to be adjusted, the processing unit collects the height data of each point at three different cross-sections of the rock surface based on the laser displacement sensor 4, plots the roughness curves respectively, and analyzes them to determine whether the cross-section is qualified. When the processing unit determines that the cross-section is qualified, the detection unit determines the roughness level of the rock mass 7 to be inspected based on the roughness curves of each cross-section and the standard curve set.

[0036] Understandably, by comprehensively using the laser displacement sensor 4 and a camera, combined with intelligent control and data processing modules, high-precision, automated measurement of the roughness coefficient of rock mass surface is achieved. Compared to traditional manual measurement methods, this device not only reduces human error and improves the objectivity and consistency of measurements, but also dynamically adjusts measurement parameters to ensure the accuracy and efficiency of the measurement process, thereby more accurately determining the JRC value of the rock mass.

[0037] In some embodiments of this application, the detection device for determining the roughness coefficient of the rock mass structure surface further includes: a parallel light emitter, used to obliquely illuminate the rock mass 7 to be detected when the camera captures image data.

[0038] Understandably, in order to make the image data captured by the camera clearer and improve the accuracy of grayscale value calculation, a parallel light emitter is used to obliquely illuminate the upper surface of the rock mass 7 to be detected, and the camera is perpendicular to the rock mass 7 to illuminate downwards to obtain grayscale values.

[0039] Understandably, the introduction of a parallel light emitter significantly improves the clarity of the camera-captured image data and the accuracy of grayscale value calculation. This results in higher quality image data, enabling more accurate determination of the rock mass roughness coefficient (JRC value) in subsequent analysis. It also enhances the performance of the detection device and improves the reliability and accuracy of the measurement results. In some embodiments of this application, when the acquisition unit obtains the rock surface undulation distribution density based on image data, the acquisition unit obtains the gray value of each point in the image based on the image data, compares the gray value of each point with a gray value threshold, and when the gray value is greater than the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is large, and when the gray value is less than or equal to the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is small, and counts the proportion of areas with large rock surface undulation to obtain the rock surface undulation distribution density.

[0040] Understandably, by utilizing the grayscale values ​​of images, the undulating regions of the rock surface were accurately distinguished, and their distribution density was quantified. This improved the accuracy and efficiency of rock roughness measurement. The grayscale value comparison method can quickly and objectively reflect the undulations of the rock surface, avoiding errors caused by subjective human judgment.

[0041] In some embodiments of this application, when the acquisition unit determines the moving speed of the horizontal displacement slide 6 based on the distribution density of rock surface undulations, the acquisition unit compares the distribution density of rock surface undulations with a first preset density and a second preset density, respectively. The first preset density is less than the second preset density. Based on the comparison result, the acquisition unit determines the moving speed of the horizontal displacement slide 6.

[0042] Specifically, when the density of rock surface undulations is less than or equal to a first preset density, the acquisition unit determines the moving speed of the horizontal displacement slide 6 as a first preset moving speed. When the density of rock surface undulations is greater than the first preset density and less than or equal to a second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide 6 as a second preset moving speed. When the density of rock surface undulations is greater than the second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide 6 as a third preset moving speed. The first preset moving speed is greater than the second preset moving speed, and the second preset moving speed is greater than the third preset moving speed.

[0043] Understandably, dynamically adjusting the moving speed of the horizontal displacement slide 6 improves the flexibility and accuracy of the detection device. Automatically adjusting the moving speed based on the density of rock surface undulations ensures both efficiency and precision in the measurement process. Adjusting the slide speed guarantees measurement accuracy under varying undulation conditions, avoiding data distortion caused by speed mismatch.

[0044] In some embodiments of this application, when the judgment unit compares the rock surface roughness test curve with the undulation data in the image data and determines whether to adjust the moving speed based on the comparison result, the judgment unit obtains the number of laser detection bumps based on the rock surface roughness test curve, obtains the number of camera detection bumps based on the image data, compares the number of laser detection bumps with the number of camera detection bumps, and determines whether to adjust the moving speed based on the comparison result.

[0045] Specifically, when the number of bumps detected by the camera is greater than the number of bumps detected by the laser, it is determined that the moving speed of the horizontal displacement slide 6 should be adjusted. When the number of bumps detected by the camera is less than or equal to the number of bumps detected by the laser, it is determined that the moving speed of the horizontal displacement slide 6 should not be adjusted.

[0046] In some embodiments of this application, when the judgment unit determines that the moving speed of the horizontal displacement slide 6 should be adjusted, the judgment unit obtains a data difference based on the number of camera-detected bumps and the number of laser-detected bumps, the data difference being the difference between the number of camera-detected bumps and the number of laser-detected bumps, compares the data difference with a first preset data difference and a second preset data difference respectively, and determines an adjustment coefficient based on the comparison result to adjust the moving speed, the adjustment coefficient being inversely proportional to the data difference.

[0047] Understandably, by comparing the number of bumps detected by the laser and the camera, it is possible to accurately determine whether the moving speed of the horizontal displacement slide 6 needs to be adjusted, and if necessary, the speed can be dynamically adjusted based on the difference in the number of bumps. This ensures that the detection device can always perform measurements at the optimal speed under different undulating conditions, avoiding data distortion and measurement errors caused by speed mismatch.

[0048] In some embodiments of this application, when the processing unit analyzes the rock surface roughness curve of each cross section and determines whether the cross section is qualified, the processing unit obtains the height difference between the highest and lowest positions of each cross section based on the rock surface roughness curve of each cross section, compares the height difference of each cross section with a preset height difference threshold, and determines whether the cross section is qualified based on the comparison result.

[0049] Specifically, a section is deemed acceptable when the height difference of each section is less than or equal to a preset height difference threshold. A section is deemed unacceptable when the height difference of at least one section is greater than the preset height difference threshold.

[0050] In some embodiments of this application, the preset height difference threshold can be obtained from the curve corresponding to the highest roughness value in the JRC value of the rock mass surface roughness coefficient. When the processing unit determines that the cross section is unqualified, it includes: determining the number of unqualified cross sections, reselecting the cross section position, detecting the height data of each point of the cross section and drawing the rock surface roughness curve of the cross section until the height difference of the three cross sections is less than or equal to the preset height difference threshold.

[0051] Understandably, by calculating and comparing the height differences of each cross-section, the passability of the cross-section can be effectively determined, and timely re-inspection and adjustment can be carried out when the cross-section is unqualified. This ensures the reliability and accuracy of the measurement results and avoids the propagation of errors caused by unqualified cross-sections. Through continuous repeated inspection and adjustment of positions, the accuracy of rock surface roughness measurement is ultimately guaranteed.

[0052] In some embodiments of this application, when the detection unit determines the roughness level of the rock mass 7 to be detected based on the rock surface roughness curves of each cross section and the standard curve set, the following steps are taken: the detection unit fits three rock surface roughness curves to obtain the rock surface curve to be detected, calculates the similarity between the rock surface curve to be detected and each curve in the standard curve set, and selects the roughness level corresponding to the standard curve with the highest similarity value as the roughness level of the rock mass 7 to be detected.

[0053] Understandably, by fitting the surface roughness curves of three cross-sections, a comprehensive curve for the rock surface to be tested is formed. Then, by calculating the similarity with curves in the standard curve set, the roughness grade of the rock mass 7 to be tested is determined. Utilizing data from multiple cross-sections improves the accuracy and reliability of the measurement results. The similarity calculation ensures the objectivity of the roughness grade assessment, avoiding errors from subjective human judgment.

[0054] In the above embodiments, by introducing a laser displacement sensor 4, a laser controller 3, a horizontal displacement slide 6, a camera, a processing module, and a control module, accurate measurement of the roughness coefficient of the rock mass surface is achieved. By acquiring image data of the rock mass surface through the camera and combining it with the height data acquired by the laser displacement sensor, a detailed rock surface roughness curve can be plotted and compared with a standard roughness grade curve, thereby accurately determining the JRC value of the rock mass. This overcomes the subjective errors and variability caused by traditional manual measurement, and allows for dynamic adjustment of the horizontal displacement slide's movement speed, ensuring the accuracy and consistency of data acquisition and improving the objectivity and accuracy of the rock mass surface roughness coefficient measurement.

[0055] On the other hand, see Figure 3 As shown, this application also provides a detection method for determining the roughness coefficient of a rock mass structural surface, applied in the aforementioned detection device for determining the roughness coefficient of a rock mass structural surface, comprising: S100: Based on the image data of the upper surface of the rock mass 7 to be detected captured by the camera, the rock surface undulation distribution density is obtained according to the image data, and the moving speed of the horizontal displacement slide 6 is determined according to the rock surface undulation distribution density. S200: Control the horizontal displacement slide 6 to move horizontally, and collect the height data of each point in a cross section of the rock surface based on the laser displacement sensor 4, draw the rock surface test roughness curve, compare the rock surface test roughness curve with the undulation data in the image data, and determine whether to adjust the moving speed based on the comparison result; S300: After determining whether to adjust the moving speed of the horizontal displacement slide 6, the height data of each point at three different sections of the rock surface are collected based on the laser displacement sensor 4, and the rock surface roughness curves of each section are plotted. The rock surface roughness curves of each section are analyzed to determine whether the section is qualified. S400: When the cross section is deemed qualified, the roughness grade of the rock mass to be tested is determined based on the set of rock surface roughness curves and standard curves for each cross section.

[0056] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0057] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0058] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0059] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A detection device for determining the roughness coefficient of rock mass structural surfaces, characterized in that, The system includes a worktable, a computer and a horizontal displacement slide mounted on the worktable, a laser controller connected to the computer via a data cable, a laser displacement sensor connected to the laser controller via a laser data cable, the laser displacement sensor being mounted above the horizontal displacement slide via a laser bracket, and a camera also being mounted above the horizontal displacement slide. The horizontal displacement slide includes a slide base, a circular slider disposed on the upper surface of the slide base, a scale and a knob disposed on the side of the slide base. The computer is equipped with a processing module and a control module. The control module is electrically connected to the horizontal displacement slide, laser controller, camera, and processing module. The control module includes an acquisition unit, a judgment unit, a processing unit, and a detection unit. The acquisition unit is configured to capture image data of the upper surface of the rock mass to be detected by the camera, obtain the rock surface undulation distribution density based on the image data, and determine the moving speed of the horizontal displacement slide based on the rock surface undulation distribution density. The judgment unit is configured to control the horizontal displacement slide to move horizontally, and based on the height data of each point on a cross section of the rock surface collected by the laser displacement sensor, plot a rock surface roughness curve, compare the rock surface roughness curve with the undulation data in the image data, and determine whether to adjust the moving speed of the horizontal displacement slide according to the comparison result. The processing unit is configured to, after the judgment unit determines whether to adjust the moving speed of the horizontal displacement slide, collect height data at three different cross-sections of the rock surface using the laser displacement sensor, plot the rock surface roughness curve for each cross-section, analyze the rock surface roughness curve for each cross-section, and determine whether the cross-section is qualified. The detection unit is configured to determine the roughness level of the rock mass to be tested based on the set of rock surface roughness curves and standard curves of each cross section when the processing unit determines that the cross section is qualified.

2. The detection device for determining the roughness coefficient of rock mass structural surfaces according to claim 1, characterized in that, A parallel light emitter is also provided above the horizontal displacement slide, which is used to obliquely illuminate the rock mass to be detected when the camera captures image data.

3. The detection device for determining the roughness coefficient of rock mass structural surfaces according to claim 1, characterized in that, When the acquisition unit obtains the rock surface undulation distribution density based on the image data, the acquisition unit obtains the gray value of each point in the image based on the image data, compares the gray value of each point with the gray value threshold, and when the gray value is greater than the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is large. When the gray value is less than or equal to the gray value threshold, the acquisition unit determines that the rock surface undulation at that point is small. The proportion of areas with large rock surface undulation is counted to obtain the rock surface undulation distribution density.

4. The detection device for determining the roughness coefficient of rock mass structural surfaces according to claim 1, characterized in that, When the acquisition unit determines the moving speed of the horizontal displacement slide based on the distribution density of rock surface undulations, the acquisition unit compares the distribution density of rock surface undulations with a first preset density and a second preset density respectively. The first preset density is less than the second preset density. The moving speed of the horizontal displacement slide is determined based on the comparison result. When the density of rock surface undulations is less than or equal to the first preset density, the acquisition unit determines the moving speed of the horizontal displacement slide as the first preset moving speed; when the density of rock surface undulations is greater than the first preset density and less than or equal to the second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide as the second preset moving speed; when the density of rock surface undulations is greater than the second preset density, the acquisition unit determines the moving speed of the horizontal displacement slide as the third preset moving speed. The first preset moving speed is greater than the second preset moving speed, and the second preset moving speed is greater than the third preset moving speed.

5. The detection device for determining the roughness coefficient of rock mass structural surfaces according to claim 1, characterized in that, When the judgment unit compares the rock surface roughness test curve with the undulation data in the image data and determines whether to adjust the moving speed based on the comparison result, the judgment unit obtains the number of laser detection bumps based on the rock surface roughness test curve, obtains the number of camera detection bumps based on the image data, compares the number of laser detection bumps with the number of camera detection bumps, and determines whether to adjust the moving speed based on the comparison result. When the number of camera-detected bumps is greater than the number of laser-detected bumps, it is determined that the moving speed of the horizontal displacement slide should be adjusted.

6. The detection device for determining the roughness coefficient of rock mass structural surfaces according to claim 5, characterized in that, When the judgment unit determines that the moving speed of the horizontal displacement slide needs to be adjusted, the judgment unit obtains a data difference based on the number of camera-detected bumps and the number of laser-detected bumps, compares this data difference with a first preset data difference and a second preset data difference, and determines an adjustment coefficient based on the comparison result to adjust the moving speed of the horizontal displacement slide. The adjustment coefficient is inversely proportional to the data difference.

7. The detection device for determining the roughness coefficient of rock mass structural surfaces according to claim 1, characterized in that, The processing unit analyzes the rock surface roughness curve of each section and determines whether the section is qualified. The processing unit obtains the height difference between the highest and lowest positions of each section based on the rock surface roughness curve of each section, compares the height difference of each section with a preset height difference threshold, and determines whether the section is qualified based on the comparison result. When the height difference of each section is less than or equal to the preset height difference threshold, the section is deemed qualified.

8. The detection device for determining the roughness coefficient of rock mass structural surfaces according to claim 1, characterized in that, When the detection unit determines the roughness level of the rock mass to be tested based on the rock surface roughness curves of each cross section and the standard curve set, the detection unit fits three rock surface roughness curves to obtain the rock surface curve to be tested, calculates the similarity between the rock surface curve to be tested and each curve in the standard curve set, and selects the roughness level corresponding to the standard curve with the highest similarity value as the roughness level of the rock mass to be tested 7.

9. A method for determining the roughness coefficient of a rock mass structural surface, applied in the detection device for determining the roughness coefficient of a rock mass structural surface as described in any one of claims 1-8, characterized in that, include: S100: Based on image data of the upper surface of the rock mass to be detected captured by a camera, the rock surface undulation distribution density is obtained according to the image data, and the moving speed of the horizontal displacement slide is determined according to the rock surface undulation distribution density. S200: Control the horizontal displacement slide to move horizontally, and collect the height data of each point in a cross section of the rock surface based on the laser displacement sensor, draw the rock surface test roughness curve, compare the rock surface test roughness curve with the undulation data in the image data, and determine whether to adjust the moving speed of the horizontal displacement slide based on the comparison result; S300: After determining whether to adjust the moving speed of the horizontal displacement slide, the height data of each point at three different cross sections of the rock surface are collected based on the laser displacement sensor, and the rock surface roughness curves of each cross section are plotted respectively. The rock surface roughness curves of each cross section are analyzed to determine whether the cross section is qualified. S400: When the cross section is deemed qualified, the roughness grade of the rock mass to be tested is determined based on the set of rock surface roughness curves and standard curves for each cross section.

Images