Underground goaf high-resolution cross-hole CT imaging system, method, equipment and medium

Abstract

The invention relates to the field of underground detection, and discloses an underground goaf high-resolution cross-hole CT imaging method, device and medium, and a system comprises a cross-hole detector module, a signal processing module, an imaging calculation module and a control and display module; the cross-hole detector module is used for collecting underground goaf data and sending the underground goaf data to the signal processing module for enhancement to obtain enhanced data; the enhanced data is subjected to multi-scale high-resolution imaging through the imaging calculation module, and is finally displayed by the control and display module; the method can effectively improve the fineness of the image, can recognize a micron-sized structure, remarkably improves the imaging accuracy, can adapt to various complex geological conditions, and is suitable for mining areas, tunnels, underground pipe networks and other scenes.

Description

Technical Field

[0001] The present invention relates to the field of underground detection, and in particular to a method, equipment and medium for high-resolution cross-hole CT imaging of underground void areas. Background Art

[0002] High-resolution cross-hole CT imaging of underground voids is widely used in mine safety assessments and geological disaster warnings. Traditional cross-hole CT imaging systems typically achieve imaging by placing radiation sources and detectors within a borehole, using radiation to penetrate the strata. However, existing technologies also have significant drawbacks in complex geological conditions: First, the placement of detectors and radiation sources within the borehole is often limited by borehole curvature and borehole wall friction, making it difficult for the equipment to maintain a stable spatial position, thereby affecting imaging accuracy. Second, in long-distance cross-hole imaging, the synchronization and spatial orientation of the radiation source and detector are difficult to precisely control, resulting in discontinuous image data acquisition or accumulated errors. Third, due to the lack of efficient real-time monitoring and adjustment methods underground, the equipment's execution relies on mechanical presets, lacking flexibility, and easily leading to equipment failure or damage in complex geological conditions. Fourth, existing systems mostly use low-resolution imaging, with limited ability to accurately depict void boundaries, making it difficult to meet the needs of refined monitoring. These technical bottlenecks seriously restrict the application of cross-hole CT imaging technology in complex geological conditions. Summary of the Invention

[0003] The purpose of the present invention is to propose a high-resolution cross-hole CT imaging method for underground voids, so as to solve the technical problem of low precision in underground void imaging in the prior art.

[0004] Specifically, the present invention provides a high-resolution cross-hole CT imaging system for underground void areas, comprising:

[0005] Cross-hole detector module, signal processing module, imaging calculation module and control and display module; The cross-hole detector module is used to collect underground void area data and send the underground void area data to the signal processing module for enhancement to obtain enhanced data; the enhanced data is subjected to multi-scale high-resolution imaging by the imaging calculation module and finally displayed by the control and display module.

[0006] A method for high-resolution cross-hole CT imaging of underground voids, applied to the system, comprises the following steps: S1. Arrange multiple boreholes on both sides of the target detection area, and place the transmitting end probe and the receiving end probe in different boreholes respectively; S2. Start the transmitter probe through the operating console and transmit high-frequency signals at the preset frequency and power; S3, the receiving end probe is started synchronously to capture the original signal after being transmitted by the medium; S4, enhancing the original signal through the signal enhancer and transmitting the original signal to the signal collector, which performs denoising processing to obtain preliminary spatiotemporal signal distribution data; S5. The image processing unit pre-processes the preliminary spatiotemporal signal distribution data, and then the imaging unit performs three-dimensional reconstruction and correction; S6. Transmit the reconstructed and corrected result to a display for display.

[0007] A storage medium stores instructions and data for implementing a high-resolution cross-hole CT imaging method for underground void areas.

[0008] A high-resolution cross-hole CT imaging device for underground voids comprises: a processor and a storage medium; the processor loads and executes instructions and data in the storage medium to implement a high-resolution cross-hole CT imaging method for underground voids.

[0009] The present invention provides the following beneficial effects: a high-resolution cross-hole CT imaging system and method for underground voids based on an optimized detection structure and adaptive control technology is proposed. Through precise detection and high-resolution imaging under complex geological conditions, this system addresses the existing issues of insufficient detection accuracy, low imaging resolution, and poor equipment adaptability. By employing a multi-mode sensor and an optimized inverse scattering imaging algorithm, the system achieves millimeter-level (<1 mm) tomographic imaging accuracy in complex geological environments. By designing an integrated detection device and adaptive control program, the present invention achieves efficient and automated detection. Through integrated design and automated control, the present invention significantly reduces operational complexity and labor intensity. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 Schematic diagram of the system structure of the present invention; Figure 2 It is a detailed flow chart of the method of the present invention; Figure 3 It is a schematic diagram of the working of the hardware device of an embodiment of the present invention. DETAILED DESCRIPTION

[0011] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0012] Before formally explaining the present invention, the scheme of the present invention is first generally explained for easy understanding.

[0013] Please refer to Figure 1 The present invention provides a high-resolution cross-hole CT imaging system for underground void areas, comprising: Cross-hole detector module, signal processing module, imaging calculation module and control and display module; The cross-hole detector module is used to collect underground void area data and send the underground void area data to the signal processing module for enhancement to obtain enhanced data; the enhanced data is subjected to multi-scale high-resolution imaging by the imaging calculation module and finally displayed by the control and display module.

[0014] It should be noted that the functions of each module are as follows: Among them, the cross-hole detector module includes a transmitting end probe and a receiving end probe, which are respectively arranged in different boreholes for transmitting and receiving detection signals.

[0015] Specifically, the transmitting probe generates high-frequency ultrasonic or electromagnetic wave signals with adjustable frequency and power. Receiving probe: Equipped with a highly sensitive sensor, it is used to receive the transmitted signal and convert it into a digital signal. Among them, the signal processing module includes a data collector and a signal enhancer.

[0016] Specifically, the data collector: collects and receives signals in real time and supports multi-channel synchronous collection. Signal Booster: Improves the signal-to-noise ratio of the received signal to ensure data quality.

[0017] Among them, the imaging calculation module includes an image processing unit and an imaging unit. Specifically, the image processing unit: adopts optimized inverse scattering imaging algorithm and multi-scale resolution reconstruction technology.

[0018] Imaging unit: realizes data preprocessing, noise suppression, signal inversion and three-dimensional imaging. Among them, the control and display module includes an operation console and a visual display, which are used for system operation and image result display.

[0019] Please refer to Figure 2 , Figure 2 It is a detailed flow chart of the method of the present invention.

[0020] A method for high-resolution cross-hole CT imaging of underground voids, applied to the system, comprises the following steps: S1. Arrange multiple boreholes on both sides of the target detection area, and place the transmitting end probe and the receiving end probe in different boreholes respectively; As an example, the present invention arranges multiple boreholes on both sides of the target detection area to form a stable cross-hole measurement network. The borehole spacing and depth are optimized based on geological conditions and the location of the void area. Transmitter and receiver probes are installed in each borehole, ensuring that the probes can be flexibly adjusted to cover the target area.

[0021] S2. Start the transmitter probe through the operating console and transmit high-frequency signals at the preset frequency and power; S3, the receiving end probe is started synchronously to capture the original signal after being transmitted by the medium; As an embodiment, the signal propagated through the medium in the present invention includes waveform, arrival time and intensity information. During the detection process, the positions of the transmitting end and the receiving end are gradually adjusted to cover the signal path of the entire target area.

[0022] As an embodiment, the transmitting probe in the present invention is a Geospace GS 5000 series ultrasonic probe, and the receiving probe is an Olympus 38DL PLUS digital ultrasonic probe.

[0023] S4, enhancing the original signal through the signal enhancer and transmitting the original signal to the signal collector, which performs denoising processing to obtain preliminary spatiotemporal signal distribution data; In one embodiment, the raw signal is transmitted via a signal enhancer to a data acquisition device for real-time, high-precision sampling. The data acquisition device then performs noise reduction processing on the signal, including filtering, normalization, and background signal removal. This generates preliminary spatiotemporal signal distribution data for subsequent imaging reconstruction.

[0024] In the present invention, the signal enhancer adopts ZHL-16W-43+ of Mini-Circuits, and the data collector adopts NI5922.

[0025] It should be noted that filtering, normalization and elimination of background signals are all common technologies in the field and will not be described in detail here.

[0026] S5. The image processing unit pre-processes the preliminary spatiotemporal signal distribution data, and then the imaging unit performs three-dimensional reconstruction and correction; It should be noted that step S5 is specifically as follows: S51. Use MIMO multipath correction to correct the signal propagation path and extract effective signal features using spectral subtraction, a noise suppression method based on spectrum analysis. S52. Inverse scattering imaging (inverse scattering imaging based on Bayesian inversion) is performed based on an optimized inverse scattering imaging method (inverse scattering imaging based on Bayesian inversion technology). Specifically, inverse scattering imaging based on Bayesian inversion technology is combined with a simulated annealing algorithm to minimize signal errors during the inversion process. Imaging parameters are continuously adjusted using the simulated annealing algorithm to reduce inversion errors caused by signal distortion, thereby generating highly accurate tomographic slice images of the target area. This optimization method can improve imaging stability and accuracy in complex geological environments. S53. A multi-scale resolution reconstruction method (multi-scale convolutional neural network (MS-CNN)) is used to reconstruct the resolution of the target area fault slice images, and the two-dimensional slice images are superimposed. At the same time, the regional geological model is introduced to correct the geometric distortion caused by the change of medium wave velocity during the imaging process, and a complete three-dimensional underground void area model is constructed.

[0027] During the high-resolution reconstruction process, the regional geological model is combined with a back-propagation algorithm to correct geometric distortion during imaging. The geological model is automatically updated through integration with field exploration data, and geometric distortion correction is performed in real time during the reconstruction process to ensure the accuracy of the 3D imaging results. During this process, the Canny edge detection algorithm is used to enhance the boundary features of voids, making the geometric boundaries of voids clearer. Simultaneously, histogram equalization, an image enhancement method, is used to effectively increase contrast, thereby improving image quality.

[0028] It should be noted that the present invention incorporates a regional geological model to correct for geometric distortion caused by variations in wave velocity during the imaging process. Edge detection algorithms are applied to enhance void boundary features, and image enhancement methods are used to improve overall contrast. Secondary optimization is performed using actual exploration data to verify and adjust the imaging results.

[0029] S6. Transmit the reconstructed and corrected result to a display for display.

[0030] In this method, the final 3D tomographic image is imported into a visual display, dynamically displaying the distribution and characteristics of underground voids. Image segmentation and quantitative analysis techniques are used to accurately measure the geometric parameters of the voids (such as volume, depth, and shape). A detailed detection report is generated, providing a basis for engineering design and safety assessment.

[0031] See Figure 3 , Figure 3 4 is a schematic diagram of the working of the hardware device of an embodiment of the present invention, wherein the hardware device specifically comprises: a high-resolution cross-hole CT imaging device 401 for underground voids, a processor 402 and a storage medium 403.

[0032] A high-resolution cross-hole CT imaging device 401 for an underground void: The high-resolution cross-hole CT imaging device 401 for an underground void implements the high-resolution cross-hole CT imaging method for an underground void.

[0033] Processor 402: The processor 402 loads and executes the instructions and data in the storage medium 403 to implement the high-resolution cross-hole CT imaging method for underground voids.

[0034] Storage medium 403: The storage medium 403 stores instructions and data; the storage medium 403 is used to implement the high-resolution cross-hole CT imaging method for underground voids.

[0035] The present invention provides a high-resolution, cross-hole CT imaging system and method for underground voids based on an optimized detection structure and adaptive control technology. This system addresses the existing challenges of insufficient detection accuracy, low imaging resolution, and poor equipment adaptability through precise detection and high-resolution imaging under complex geological conditions. By employing a multi-mode sensor and an optimized inverse scattering imaging algorithm, the system achieves millimeter-level (<1 mm) tomographic imaging accuracy in complex geological environments. By designing an integrated detection device and adaptive control program, the present invention achieves efficient and automated detection. Through integrated design and automated control, the present invention significantly reduces operational complexity and labor intensity.

[0036] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A high-resolution cross-hole CT imaging system for underground voids, characterized by: include: Cross-hole detector module, signal processing module, imaging calculation module and control and display module; The cross-hole detector module is used to collect underground void area data and send the underground void area data to the signal processing module for enhancement to obtain enhanced data; The enhanced data is processed into multi-scale high-resolution images by the imaging calculation module and finally displayed by the control and display module.

2. The high-resolution cross-hole CT imaging system for underground voids according to claim 1, characterized in that: The cross-hole detector module includes: a transmitting end probe and a receiving end probe; the transmitting end probe and the receiving end probe are respectively arranged in different boreholes for transmitting and receiving detection signals.

3. The high-resolution cross-hole CT imaging system for underground voids according to claim 1, characterized in that: The signal processing module includes a data collector and a signal enhancer; the signal enhancer and the data collector are used to enhance the signal and process the enhanced signal respectively to form preliminary spatiotemporal signal distribution data.

4. The high-resolution cross-hole CT imaging system for underground voids according to claim 1, characterized in that: The imaging calculation module includes an image processing unit and an imaging unit; the image processing unit is used to preprocess data; the imaging unit uses optimized inverse scattered imaging and multi-scale resolution methods to perform three-dimensional reconstruction of underground voids based on the preprocessed data.

5. The high-resolution cross-hole CT imaging system for underground voids according to claim 1, characterized in that: The control and display module includes: a console and a display; the console is used to control the start and stop of the cross-hole detector module; the display is used to display the three-dimensional reconstruction results.

6. A method for high-resolution cross-hole CT imaging of underground voids, applied to a high-resolution cross-hole CT imaging system for underground voids according to any one of claims 1 to 5, characterized in that: The method comprises the following steps: S1. Arrange multiple boreholes on both sides of the target detection area, and place the transmitting end probe and the receiving end probe in different boreholes respectively; S2. Start the transmitter probe through the operating console and transmit high-frequency signals at the preset frequency and power; S3, the receiving end probe is started synchronously to capture the original signal after being transmitted by the medium; S4, enhancing the original signal through the signal enhancer and transmitting the original signal to the signal collector, which performs denoising processing to obtain preliminary spatiotemporal signal distribution data; De-noising processing includes: filtering, normalization and background signal removal; S5. The image processing unit pre-processes the preliminary spatiotemporal signal distribution data, and then the imaging unit performs three-dimensional reconstruction and correction; S6. Transmit the reconstructed and corrected result to a display for display.

7. The method for high-resolution cross-hole CT imaging of underground voids according to claim 6, characterized in that: The original signal in step S3 includes waveform, arrival time and intensity information.

8. The method for high-resolution cross-hole CT imaging of underground voids according to claim 6, characterized in that: Step S5 is specifically as follows: S51. Using a multipath correction method to correct the signal propagation path, and extracting effective signal features based on a noise suppression method using spectrum analysis; S52. Based on the optimized inverse scatter imaging method, invert the corrected signal propagation path to generate a tomographic slice image of the target area; S53. A multi-scale resolution reconstruction method is used to reconstruct the resolution of the target area fault slice image, and the two-dimensional slice images are superimposed. At the same time, a regional geological model is introduced to correct the geometric distortion caused by the change of medium wave velocity during the imaging process, and a complete three-dimensional underground void area model is constructed.

9. A storage medium, characterized in that: The storage medium stores instructions and data for implementing a high-resolution cross-hole CT imaging method for underground voids as described in any one of claims 6 to 8.

10. A high-resolution cross-hole CT imaging device for underground voids, characterized by: include: A processor and a storage medium; the processor loads and executes instructions and data in the storage medium to implement a high-resolution cross-hole CT imaging method for underground voids as described in any one of claims 6 to 8.

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