Heat source inversion-based tunnel high-temperature heat hazard advanced geological detection method and system

Abstract

A heat source inversion-based tunnel high-temperature heat hazard advanced geological detection method and system. The method comprises: by means of multi-view joint observation of "rock wall and drilling", extracting two kinds of collected temperature data to form a new sequence, carrying out inversion interpretation on the sequence, constructing a least square-based three-dimensional heat source inversion objective function and an inversion equation, and solving for the inversion equation; and on the basis of a solution result, forming a heat source and temperature field imaging result graph of high-temperature heat hazard detection within a detection area range. The present invention achieves effective positioning and capturing of a high-temperature heat source, high-temperature heat hazard level division and heat hazard risk evaluation, and provides a reference basis for determining a tunnel design and construction scheme.

Description

Advanced geological detection method and system for high-temperature heat damage in tunnels based on heat source inversion

[0001] The present invention claims priority to the Chinese patent application filed with the Patent Office of China on November 24, 2023, with application number 202311586374.1 and invention name “Method and system for advanced geological detection of high-temperature thermal damage in tunnels based on heat source inversion”, the entire contents of which are incorporated by reference into the present invention. Technical Field

[0002] The present invention belongs to the technical field of tunnel geothermal field detection, and relates to a method and system for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion. Background Art

[0003] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0004] Some areas are located at high altitudes, feature diverse terrain, complex geological conditions, rich geothermal resources, frequent hydrothermal activity, and are home to numerous hot springs and hot water. Tunnel projects traversing high geothermal areas are constantly emerging, and high geothermal temperatures have become a major challenge in tunnel construction. High temperatures, caused by geothermal anomalies, significantly impact tunnel construction, especially the construction of deep and long tunnels. High geothermal temperatures not only increase the difficulty of tunnel construction, delay construction schedules, and reduce economic benefits, but also endanger the health of construction workers and the safety of structures. Specific existing problems are as follows:

[0005] (1) In high temperature environments, the work efficiency of machinery and workers decreases, and equipment failures increase. Working in high ground temperature conditions for a long time will cause heatstroke symptoms such as heat cramps, heat exhaustion, and heat stroke, which seriously endanger the physical and mental health of workers and the safety and quality of the project;

[0006] (2) High ground temperature not only affects the construction machinery and personnel inside the tunnel, but also affects the surrounding rock and the structure of the tunnel itself. Since the temperature of the rock layer in a high-temperature tunnel is relatively high, while the air temperature inside the tunnel is relatively low, a certain temperature difference will be generated in the lining structure. This temperature difference will cause an uneven stress distribution in the structure, resulting in tensile stress on the surface of the concrete structure. The tensile strength of the concrete structure is relatively weak, which poses a hidden danger to the safety of the tunnel structure.

[0007] Therefore, during the construction of the tunnel, in order to ensure the construction of the tunnel, effective advanced geological prediction methods are adopted to know the location and scale of high-temperature heat damage ahead in advance, understand the type and hazard level of high-temperature heat damage, prepare for the future, and take response measures in advance, which can effectively ensure the safety of the project construction.

[0008] High-temperature heat damage in tunnels is divided into high rock temperature and high-temperature hot water. In existing engineering construction, advanced horizontal drilling methods are often used to predict whether there is hot water or hot gas ahead, and temperature measurement is performed in the hole to obtain the rock temperature or hot water temperature in the hole, determine the type and level of heat damage, guide and ensure construction safety. However, high-temperature hot water in tunnels mostly develops in the form of fault-hard rock cracks or fault-karst cracks, pipes, and caves. The occurrence conditions are complex and diverse, and the temperature field is a diffusion field. The transmission range of small-volume high-temperature heat sources is limited. It is difficult to detect the hidden distribution of high-temperature hot water around the borehole using the borehole temperature measurement method alone, and there is a serious underreporting.

[0009] Summary of the Invention

[0010] To address the above-mentioned issues, the present invention proposes a method and system for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion. The present invention uses a heat source inversion method to quickly invert and interpret the detection results, obtain the distribution of the surrounding rock geothermal field in front of the tunnel excavation face, effectively locate and capture high-temperature heat sources, classify high-temperature heat damage levels, evaluate heat damage risks, and provide a reference basis for determining tunnel design and construction plans.

[0011] According to some embodiments, the present invention adopts the following technical solutions:

[0012] A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion includes the following steps:

[0013] Based on the preliminary survey data and high ground temperature monitoring data in the tunnel, predict the abnormally high temperature sections along the tunnel;

[0014] In the initially identified high-temperature thermal anomaly sections, advance boreholes are laid out, and temperature measuring equipment is placed in the advance boreholes to measure the internal temperature of the rock mass;

[0015] Obtain the scanning results of the apparent temperature of the tunnel surrounding rock;

[0016] The two types of temperature data collected are extracted to form a new sequence, which is then inverted and interpreted. A three-dimensional heat source inversion objective function and inversion equation based on least squares are constructed, and the inversion equation is solved.

[0017] Based on the solution results, the heat source and temperature field imaging result map of high temperature heat damage detection within the survey area is formed, and combined with the existing geology, the temperature, location, scale, type and hazard level of the high temperature heat damage are analyzed.

[0018] As an optional implementation method, the specific process of predicting abnormal high-temperature sections along the tunnel includes conducting geophysical exploration and deep drilling temperature measurements on the surface along the tunnel excavation axis, dividing geothermal abnormal sections, and predicting the type of high-temperature heat damage; monitoring high geothermal data on the surface temperature of the surrounding rock, the operating environment temperature, and the water temperature in the tunnel, and judging whether entering a high geothermal abnormality area based on changes in temperature and temperature rate in the excavated sections along the line.

[0019] After tunnel excavation, daily monitoring of the surrounding rock temperature and temperature rate changes after tunnel face excavation can provide a qualitative understanding of the temperature conditions ahead of the tunnel. Generally, if the surrounding rock temperature exceeds the set temperature and the surrounding rock temperature continues to rise and the temperature rate continues to increase as the tunnel advances, it can be qualitatively judged that the excavation is approaching an abnormally high ground temperature area.

[0020] As an optional implementation method, the specific process of laying out advance drilling holes and placing temperature measuring equipment in the advance drilling holes includes digging ear holes in the left and right side walls behind the tunnel face, drilling advance drilling holes from the ear holes to the front of the tunnel, installing distributed optical fibers into the boreholes, filling the boreholes with cement mortar, and collecting and analyzing the temperature data in the borehole when the surrounding rock temperature and the temperature in the borehole reach stability.

[0021] As an optional implementation, the specific process of obtaining the scanning results of the apparent temperature of the tunnel surrounding rock includes performing mobile scanning of the temperatures of the left wall, right wall, arch, and tunnel face of the tunnel, and matching the infrared temperature measurement results with the measurement space.

[0022] As an optional implementation, the objective function is specifically: S MP =(ΔT-J(F-F0)) T (ΔT-J(F-F0))+λ(C(F-F0)) T (C(F-F0)) +η(W1(FF r )) T (W1(FF r ))

[0023] Where △T is the difference vector between the actual observation data and the forward theoretical observation data, F is the model parameter vector to be solved by inversion, J is the sensitivity matrix, C is the smoothness matrix; λ is the Lagrange constant, which is used to control the weight between the data variance term and the model variance term; F0 is the model parameter parameter solved in the last inversion, F r is the reference model parameter vector for this inversion, W1 is the reference model coefficient matrix, and η is the weight coefficient of the reference model constraint.

[0024] As an optional implementation, the inversion equation is:

[0025] Among them, △F is the incremental vector of model parameters, J is the sensitivity matrix, C is the smoothness matrix; λ is the Lagrange constant, F r is the reference model parameter vector for this inversion, W1 is the reference model coefficient matrix, and η is the weight coefficient of the reference model constraint;

[0026] Among them, the matrix J is: J = K -1

[0027] Among them, K is the cumulative heat conduction coefficient at the discrete nodes of the objects contained in each unit and is a known quantity.

[0028] As an optional implementation, the specific process of solving the inversion equation includes:

[0029] Establish a finite difference model of three-dimensional thermal load model parameters and determine the initial values ​​of model parameters based on measured temperature data;

[0030] Conduct geological analysis and geophysical exploration to determine the prior information of anomalies and map it to the inversion calculation model to form a reference model;

[0031] For given model parameters, the finite difference method is used to perform simulation calculations to obtain theoretical observation data;

[0032] Perform inversion convergence judgment, using the mean square error between the measured data and the theoretical data as the criterion. If the mean square error obtained by inversion is less than the set convergence value or the set number of inversions is reached, the inversion is terminated, the model parameters at this time are output, and the temperature distribution is obtained by forward modeling. If the mean square error is greater than the set value and the set number of inversions has not been reached, the inversion step is continued;

[0033] According to the reference model constraints and the model parameters in this inversion, the inversion equation is solved to obtain the model parameter vector change;

[0034] Get the new model parameters, return to the step of simulation calculation using finite difference method, and perform the next generation of iterative inversion.

[0035] A tunnel high-temperature heat damage advance geological detection system based on heat source inversion, comprising:

[0036] The first acquisition system is used to measure the internal temperature of the rock mass in the advance boreholes arranged in the initially identified high-temperature thermal anomaly section;

[0037] The second acquisition system is used to obtain the scanning results of the apparent temperature of the tunnel surrounding rock;

[0038] The inversion interpretation module is configured to extract the two types of temperature data collected to form a new sequence, perform inversion interpretation on the sequence, construct a three-dimensional heat source inversion objective function and inversion equation based on least squares, and solve the inversion equation;

[0039] The imaging analysis module is configured to form a heat source and temperature field imaging result map of high temperature heat damage detection within the survey area based on the solution results, and analyze the temperature, location, scale, type and hazard level of the high temperature heat damage in combination with the existing geology.

[0040] As an optional implementation, the first acquisition system is a plurality of distributed optical fiber temperature measurement modules, which are respectively arranged in each advanced borehole.

[0041] As an optional implementation, the second acquisition system is a scanning robot.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] This paper proposes for the first time a method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion. Using tunnel rock wall apparent temperature and borehole temperature data, the method inverts the heat source term and reconstructs the temperature field within the surrounding rock ahead of the tunnel. This effectively locates and captures the high-temperature heat source, classifies the high-temperature heat damage based on the temperature distribution, and assesses the risk of heat damage, providing technical guidance for early warning and control of high-temperature heat damage.

[0044] The present invention proposes a multi-field joint observation system based on "rock wall + borehole". It adopts a rock wall temperature field scanning robot to realize the rapid perception of the apparent temperature of the surrounding rock, and adopts a distributed optical fiber temperature measuring device in the borehole to realize the perception of the temperature distribution inside the rock mass. It can obtain more effective geological information and improve the detection and identification capabilities of high-temperature thermal anomalies.

[0045] The present invention constructs a geothermal field constrained inversion equation with a priori reference model, adds prior information obtained by other geophysical exploration methods, and makes the model heat source parameters develop towards the reference model determined by the priori information. In theory, it is beneficial to suppress the multi-solution problem of inversion and achieve a better reflection of the heat source shape, scale, temperature value, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0047] FIG1 is a schematic diagram of a distributed optical fiber temperature measurement arrangement for tunnel drilling according to the present invention;

[0048] FIG2 is a schematic diagram of an infrared temperature measurement arrangement for a tunnel rock wall according to the present invention;

[0049] FIG3( a ) is a high temperature heat damage distribution model of a numerical example of the present invention;

[0050] FIG3( b ) is a diagram of heat source and temperature field distribution obtained by inversion of the present invention. DETAILED DESCRIPTION

[0051] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0052] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0053] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0054] A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion, comprising the following steps:

[0055] A. Based on the initial surface survey and borehole temperature measurement data, geothermal anomaly sections are divided from a macro perspective. Based on the high geothermal temperature monitoring data inside the cave, the abnormal temperature rate changes in the excavated sections are analyzed. From an engineering perspective, it is predicted that areas will soon be exposed to high geothermal disasters; and a scientific and reasonable drilling layout plan is designed in the predicted sections.

[0056] In this embodiment, as specifically shown in FIG1 , an ear hole is enlarged in the side wall about 2 m behind the tunnel, and an advance drill hole is drilled from the ear hole toward the front of the tunnel, as parallel to the tunnel axis as possible.

[0057] There can be multiple advance drilling holes.

[0058] B. Install distributed optical fibers in two pre-drilled holes and fill the holes with cement mortar to allow the temperature inside the holes to reach equilibrium with the surrounding rock temperature. This equilibrium takes a long time, so a layout plan for ear hole pre-drilling was designed. Subsequently, distributed optical fiber temperature measurement data in the holes was collected and analyzed to preliminarily determine the location of the heat source.

[0059] C. A thermal infrared scanning robot is used to perform mobile scanning of the temperature of the left and right walls, vault, and face of the tunnel. The thermal infrared scanning robot has a built-in positioning system that matches the infrared temperature measurement results with the measurement space, obtaining a large amount of tunnel rock wall apparent temperature data.

[0060] The thermal infrared scanning robot can be an existing robot. Figure 2 shows a feasible thermal infrared scanning robot structure. Specifically, it includes a walking mechanism equipped with a vertically movable structure, which in turn is equipped with an infrared thermal imager. By adjusting the positions of the walking mechanism and the vertically movable structure, infrared scanning can be performed on various rock wall areas that serve as fulcrums.

[0061] D. Steps B and C are superimposed to form a new "drillhole + rock wall" multi-view joint observation mode. The data collected by this new observation mode is extracted to form a new sequence, which is then comprehensively inverted and interpreted. This greatly increases the amount of collected data, allowing for more effective geological information ahead of the tunnel to be obtained, and improving the ability to detect and identify high-temperature thermal anomalies ahead of the tunnel.

[0062] In this embodiment, the new sequence extraction is related to the desired grid size. The extracted point temperatures must all be located on the grid nodes. It does not matter whether the data on the rock wall or the temperature measurement data in the borehole are sorted first, as long as they match the forward and inversion programs. The extracted temperature data can be used to invert the heat source distribution in front of the tunnel.

[0063] E. Aiming at the problem of strong multi-solution inversion of three-dimensional heat source inversion imaging of tunnels, a geothermal field constraint inversion method with a priori reference model is proposed. The objective function of three-dimensional high-temperature heat source detection inversion is: S MP =(ΔT-J(F-F0)) T (ΔT-J(F-F0))+λ(C(F-F0)) T (C(F-F0)) +η(W1(FF r )) T (W1(FF r ))

[0064] Where △T is the difference vector between the actual observation data and the forward theoretical observation data, F is the model parameter vector to be solved by inversion, J is the sensitivity matrix, C is the smoothness matrix; λ is the Lagrange constant, which is used to control the weight between the data variance term and the model variance term; F r is the reference model parameter vector for this inversion, W1 is the reference model coefficient matrix, and η is the weight coefficient of the reference model constraint.

[0065] By finding the minimum value of the objective function formula (1), we can obtain the corresponding inversion equation:

[0066] The above formula is the geothermal field constrained inversion equation that incorporates a priori reference models. Theoretically, applying prior information obtained from other geophysical exploration methods as constraints to the inversion equation will force the model heat source parameters to evolve toward the reference model determined by the prior information. This helps to mitigate the multi-solution problem of the inversion and achieve a better reflection of the heat source's shape, scale, and temperature.

[0067] F. In the process of three-dimensional heat source inversion, the partial derivative matrix J is different from the conventional calculation method. Its calculation expression is as follows: J = K -1

[0068] Among them, K is the sum of the heat conduction coefficients at the discrete nodes of the objects contained in each unit. In form, it is symmetrical and reversible and is a known quantity.

[0069] The specific calculation process of heat source inversion is as follows:

[0070] 1) Establish a finite difference model of three-dimensional thermal load model parameters and determine the initial values ​​of the model parameters based on the measured temperature data;

[0071] 2) Conduct geological analysis and geophysical exploration to determine the prior information of the anomaly and map it to the inversion calculation model to form a reference model;

[0072] 3) For given model parameters, the finite difference method is used to perform simulation calculations to obtain theoretical observation data;

[0073] 4) Perform inversion convergence judgment, using the mean square error between the measured data and the theoretical data as the criterion. If the mean square error obtained by inversion is less than the set convergence value or reaches the set number of inversions, the inversion is terminated, the model parameters at this time are output, and the temperature distribution is obtained by forward modeling. If the mean square error is greater than the set value and has not reached the set number of inversions, the inversion step is continued.

[0074] 5) Solve the inversion equation according to the reference model constraints and the model parameters in this inversion to obtain the model parameter vector change ΔF.

[0075] 6) Obtain new model parameters and proceed to step 3) for the next generation of iterative inversion.

[0076] G. After inversion and interpretation of the collected temperature data through the above steps, an inversion imaging result map of the high-temperature geothermal anomaly heat source within the survey area can be obtained. Figure 3(a) shows a numerical example model of heat source distribution, and Figure 3(b) is an isosurface map of the heat source and temperature field obtained by comprehensive inversion interpretation using the method described in this invention. The location, shape, and scale of the high-temperature heat source can be clearly seen in this map, which is basically consistent with the original model.

[0077] Through three-dimensional heat source detection, a relatively accurate heat source distribution temperature field imaging result map of the tunnel area can be obtained. Combined with existing geological analysis, the type of high-temperature heat damage and the level of damage caused to the tunnel can be further inferred, which can provide strong technical support and guarantee for the safe and efficient construction of high-geotemperature tunnels.

[0078] The type of heat damage ahead of the tunnel can be determined based on the gradient change of the three-dimensional geothermal field distribution obtained by inversion. Generally, if the lateral temperature change is relatively small, there is no hot water exposure, and the ground drilling temperature shows multiple broken lines, it can be determined that the heat damage is conductive heat damage; if the temperature change is relatively large, there is hot water exposure, and the ground drilling temperature shows an upward convex shape, it can be determined that the heat damage is convection heat damage with high-temperature hot water.

[0079] Although the above describes the specific embodiments of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without any creative work are still within the scope of protection of the present invention.

Claims

1. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion, characterized in that, it includes the following steps: Based on the preliminary exploration data and the in-tunnel high ground temperature monitoring data, predict the high-temperature abnormal sections along the tunnel; In the initially judged high-temperature heat abnormal sections, arrange advanced boreholes, and arrange temperature measuring equipment in the advanced boreholes to measure the internal temperature of the rock mass; Obtain the scanning results of the apparent temperature of the tunnel surrounding rock; Extract the two collected temperature data to form a new sequence, perform inversion interpretation on this sequence, construct a three-dimensional heat source inversion objective function and inversion equation based on the least squares, and solve the inversion equation; According to the solution results, form a heat source and temperature field imaging result map for the detection of high-temperature heat damage within the survey area, and combine the existing geology to analyze the temperature, location, scale, type and hazard level of the high-temperature heat damage.

2. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion as described in claim 1, characterized in that, The specific process of predicting the high-temperature abnormal sections along the tunnel includes carrying out geophysical exploration and deep borehole temperature measurement along the tunnel excavation axis on the ground, dividing the geothermal abnormal sections, and predicting the type of high-temperature heat damage; monitoring the high ground temperature data of the surface temperature of the surrounding rock in the tunnel, the operating environment temperature and the water temperature, and judging whether to enter the high ground temperature abnormal area according to the temperature and temperature rate changes in the already excavated sections along the line.

3. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion as described in claim 2, characterized in that, After the tunnel is excavated, monitor the temperature and temperature rate changes of the surrounding rock after the tunnel face is excavated. When the surrounding rock temperature exceeds the set temperature, and as the tunnel advances, the surrounding rock temperature continues to rise and the temperature rate continues to increase, it can be qualitatively judged that the high ground temperature abnormal area is getting closer with the excavation.

4. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion as described in claim 1, characterized in that, The specific process of arranging advanced boreholes and arranging temperature measuring equipment in the advanced boreholes includes excavating ear holes on the left and right side walls behind the tunnel face, drilling advanced boreholes from the ear holes towards the front of the tunnel, installing distributed optical fibers into the boreholes, filling the boreholes with cement mortar, and collecting and analyzing the temperature data in the boreholes when the surrounding rock temperature and the temperature in the boreholes reach stability.

5. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion as described in claim 1, characterized in that, The specific process of obtaining the scanning results of the apparent temperature of the tunnel surrounding rock includes performing mobile scanning on the temperatures of the left side wall, right side wall, arch top and tunnel face of the tunnel, and matching the infrared temperature measurement results with the measurement space.

6. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion as described in claim 1, characterized in that, The specific objective function is: S MP =(ΔT - J(F - F 0 )) T (ΔT - J(F - F 0 )) + λ(C(F - F 0 )) T (C(F - F 0 )) + η(W 1 (F - F r )) T (W 1 (F - F r )) where, △T is the difference vector between the actual observed data and the forward theoretical observed data, F is the model parameter vector to be solved by inversion, J represents the sensitivity matrix, and C represents the smoothness matrix; λ is the Lagrange constant used to control the weight between the data variance term and the model variance term; F 0 is the model parameter parameter solved by the previous inversion, F r is the reference model parameter vector for this inversion, W 1 is the reference model coefficient matrix, and η is the weight coefficient of the reference model constraint.

7. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion as described in claim 1, characterized in that, The inversion equation is as follows: where, △F is the increment vector of model parameters, J represents the sensitivity matrix, and C represents the smoothness matrix; λ is the Lagrange constant, F r is the model parameter vector for this inversion reference, W 1 is the reference model coefficient matrix, and η is the weight coefficient of the reference model constraint; wherein, the matrix J is: J = K -1 wherein, K is the sum of the thermal conductivity coefficients at the discrete nodes of the objects contained in each unit, and is a known quantity.

8. A method for advanced geological detection of high-temperature heat damage in tunnels based on heat source inversion as described in claim 1, characterized in that, The specific process of solving the inversion equation includes: Establish a finite difference model of the parameters of the three-dimensional thermal load model, and determine the initial values of the model parameters according to the measured temperature data; Conduct geological analysis and geophysical exploration, analyze and determine the prior information of the abnormal body, and map it to the inversion calculation model to form a reference model; For the given model parameters, use the finite difference method to perform simulation calculations to obtain theoretical observation data; Conduct inversion convergence judgment, using the mean square error between the measured data and the theoretical data as the criterion. If the mean square error obtained by inversion is less than the set convergence value or reaches the set number of inversion times, the inversion ends, and the model parameters at this time are output, and the temperature distribution is obtained by forward modeling. If the mean square error is greater than the set value and the set number of inversion times is not reached, continue to execute the inversion steps; According to the reference model constraints and the model parameters in this inversion, solve the inversion equation to obtain the change of the model parameter vector; Obtain the new model parameters, return to the step of performing simulation calculations using the finite difference method, and perform the next-generation iterative inversion.

9. A tunnel high-temperature heat damage advanced geological detection system based on heat source inversion, Characterized in that, It includes: The first acquisition system is used to measure the internal temperature of the rock mass in the advanced boreholes arranged in the initially judged high-temperature heat anomaly section; The second acquisition system is used to obtain the scanning results of the apparent temperature of the tunnel surrounding rock; The inversion and interpretation module is configured to extract the two kinds of temperature data collected to form a new sequence, perform inversion and interpretation on this sequence, construct a three-dimensional heat source inversion objective function and an inversion equation based on the least squares method, and solve the inversion equation; The imaging analysis module is configured to form an imaging result map of the heat source and temperature field for the detection of high-temperature heat damage in the survey area according to the solution results, and combine the existing geology to analyze the temperature, location, scale, type and hazard level of the high-temperature heat damage.

10. A tunnel high-temperature heat damage advanced geological detection system based on heat source inversion according to claim 9, Characterized in that, The first acquisition system is a plurality of distributed optical fiber temperature measurement modules, which are respectively arranged in each advanced borehole; Or, the second acquisition system is a scanning robot.

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