A tunnel collapse emergency rescue path generation method and system

Abstract

The present application relates to the technical field of tunnel emergency rescue, in particular to a tunnel collapse emergency rescue path generation method and system, wherein the tunnel collapse emergency rescue path generation method comprises the following steps: obtaining advanced geological prediction data; dividing the collapse into multiple crossing sections and assigning values; selecting an i-th crossing point on the i-th crossing section; selecting an i+1-th crossing point on the i+1-th crossing section with the steering performance of the shield machine as the boundary condition; repeating the selection of the crossing points until the predetermined rescue position is reached; connecting the crossing points to obtain a candidate path; obtaining at least two candidate paths, and selecting one candidate path as the rescue path based on the tunneling performance of the shield machine. The present application can overcome the technical problem that the existing tunnel rescue path planning lacks consideration of the steering performance and tunneling performance of the shield machine, which cannot guarantee the tunneling efficiency and speed of the shield machine, and easily leads to obstruction of rescue operations.

Description

Technical Field

[0001] This invention relates to the field of tunnel emergency rescue technology, and in particular to a method and system for generating emergency rescue paths for collapsed bodies in tunnels. Background Technology

[0002] When a tunnel collapses, the tunnel's connection to the outside world is blocked by the collapsed material. In order to rescue trapped people as quickly as possible, it is necessary to quickly dig a rescue channel in the collapsed material. Compared with traditional methods such as manual excavation, tunnel boring machines have a faster tunneling speed and stronger tunneling performance. They can quickly break through the collapsed material to reach the trapped people, form a rescue channel, and deliver rescue supplies to the trapped people, thereby giving them a greater chance of survival.

[0003] However, tunnel collapses often contain a large number of hard objects (such as collapsed concrete or rock blocks that have collapsed from the surrounding rock), metallic objects (such as large metal structures or engineering equipment), and loose objects (such as loose silt or sand). Different tunnel boring machines (TBMs) have different steering performance and different tunneling performance in different objects. If the rescue path of the TBM is planned only according to the rescue needs without considering the steering and tunneling performance of the TBM, the tunneling efficiency and speed of the TBM in the collapse cannot be guaranteed. In some cases, the TBM may even get stuck in the collapse and be unable to continue tunneling, which can easily lead to the obstruction of rescue work. Therefore, it is urgent to develop a reasonable and effective method for generating emergency rescue paths for tunnel collapses. Summary of the Invention

[0004] The purpose of this invention is to overcome the technical problems of existing tunnel rescue path planning lacking consideration of the shield machine's turning and tunneling performance, failing to guarantee the shield machine's tunneling efficiency and speed, and easily causing the shield machine to get stuck, thus hindering rescue operations. The invention provides a method and system for generating emergency rescue paths for collapsed bodies in tunnels.

[0005] In a first aspect, the present invention provides a method for generating an emergency rescue path for a collapsed body in a tunnel, comprising the following steps: S1. Obtain advanced geological prediction data of the collapsed body; divide the collapsed body into multiple crossing sections along a predetermined direction, and let the crossing sections from the location near the rescue initiation point to the predetermined rescue location be the i-th crossing section, where i is the number, i=1, 2, 3...; assign the advanced geological prediction data to the corresponding crossing section. S2. Select the i-th crossing point of the tunnel boring machine on the i-th crossing section; S3. Taking the i-th crossing point as the starting point and the turning performance of the tunnel boring machine as the boundary condition, select the i+1 crossing point of the tunnel boring machine on the i+1 crossing section. S4. Repeat S2 to S3, incrementing the value of i by one each time, until the crossing point reaches the predetermined rescue location; connect the crossing points into a line to obtain alternative routes. S5. Reset the value of i to one, repeat S2 to S4, obtain at least two different alternative paths, and select one of the alternative paths as the rescue path based on the tunneling performance of the tunnel boring machine.

[0006] Preferably, the advanced geological prediction data includes the location and size of hard objects, metallic objects, and loose objects in the collapsed body.

[0007] Preferably, when selecting the crossing point in S2 and S3, the location of the metal object is excluded.

[0008] Preferably, when selecting crossing points in S2 and S3, crossing points with higher priority are selected according to priority sorting; priority sorting includes a first sort, in which the location of the loose object is higher than the location of the hard object.

[0009] Preferably, the priority ranking also includes a second ranking, in which positions closer to the center line of the collapsed body are ranked higher than positions farther from the center line of the collapsed body; the priority of the second ranking is lower than that of the first ranking.

[0010] Preferably, S5 includes the following steps: S51. Eliminate alternative paths that pass through metal objects; count the lengths of hard and loose objects passed through each alternative path. S52. Select the shortest alternative path with the shortest length of the hard object as the rescue path; when there is more than one alternative path with the shortest length of the hard object, select the alternative path with the shortest length of both the hard object and the loose object as the rescue path.

[0011] Preferably, when i≥2, S3 includes the following steps: S31. Create a conical region. The vertex of the conical region is the i-th crossing point. The apex angle of the conical region is twice the maximum turning angle of the tunnel boring machine. The axis of the conical region is the line connecting the (i-1)-th crossing point and the i-th crossing point. S32. Obtain the cross-sectional area of ​​the conical region on the (i+1)th crossing section, and select the (i+1)th crossing point within the cross-sectional area.

[0012] Preferably, S1 acquires advanced geological prediction data through ground-penetrating radar and / or transient electromagnetic methods.

[0013] Preferably, the predetermined direction includes the tunnel axis.

[0014] In a second aspect, the present invention provides an emergency rescue path generation system for tunnel collapses, comprising: The memory stores at least one instruction; The processor is communicatively connected to the memory and is capable of executing instructions in the memory, thereby executing the method for generating emergency rescue paths for collapsed structures in tunnels according to the present invention.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention provides a method for generating emergency rescue paths for tunnel collapses. The method involves dividing the collapse into multiple crossing sections, selecting crossing points on these sections based on the tunnel boring machine's (TBM) turning performance as a boundary condition, connecting these crossing points to obtain alternative paths, and finally selecting a rescue path from the alternative paths based on the TBM's tunneling performance. This ensures that the rescue path meets the TBM's turning performance requirements, preventing the TBM from being blocked by the collapse, while also allowing the TBM to maintain high tunneling efficiency and speed. This provides a lifeline for the rescue of trapped personnel as early as possible, effectively guaranteeing their safety.

[0016] 2. This invention provides an emergency rescue path generation system for tunnel collapses, which can execute the emergency rescue path generation method for tunnel collapses of this invention, thereby planning a rescue path for the tunnel boring machine that takes into account both the tunnel boring machine's turning performance and tunneling performance, which is beneficial to improving the speed of rescue operations. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a method for generating emergency rescue paths for collapsed structures within a tunnel, according to the present invention. Figure 2 This is an isometric view of advanced geological prediction data for a method of generating emergency rescue paths for tunnel collapses according to the present invention; Figure 3 This is a top-view longitudinal section schematic diagram of the advanced geological prediction data for the method of generating emergency rescue paths for tunnel collapses according to the present invention. Figure 4 This is a schematic diagram illustrating the selection steps of crossing points and alternative routes in a method for generating emergency rescue routes for collapsed bodies in tunnels according to the present invention. Detailed Implementation The present invention will now be described in further detail with reference to specific embodiments. However, this should not be construed as limiting the scope of the present invention to the following embodiments; all technologies implemented based on the content of the present invention fall within the scope of the present invention.

[0018] Unless otherwise specified, the use of terms such as "upper," "lower," "left," "right," "center," "inner," and "outer" to indicate orientation or positional relationships in the description of specific embodiments of the present invention is based on the orientation or positional relationships shown in the accompanying drawings, or the orientation or positional relationship in which the product / equipment / device is typically placed during use. These terms are merely for the purpose of facilitating the description of the present invention or simplifying the description in specific embodiments, enabling those skilled in the art to quickly understand the solution, and do not indicate or imply that a particular device / component / element must have a specific orientation, or be constructed and operated in a specific positional relationship. Therefore, they should not be construed as limitations on the present invention.

[0019] Furthermore, the use of terms such as "horizontal," "vertical," "suspended," and "parallel" does not imply that the corresponding device / component / element must be absolutely horizontal, vertical, suspended, or parallel, but rather that it can be slightly tilted or have a deviation. For example, "horizontal" merely means that its direction is more horizontal relative to "vertical," not that the structure must be completely horizontal, but that it can be slightly tilted. Alternatively, it can be simplified to mean that the corresponding device / component / element, when set in a "horizontal," "vertical," "suspended," or "parallel" direction, can have an error / deviation of ±10% relative to the corresponding direction, more preferably within ±8%, more preferably within ±6%, more preferably within ±5%, and more preferably within ±4%. As long as the corresponding device / component / element is within the error / deviation range, it can still achieve its function in the present invention.

[0020] Furthermore, the use of terms such as "first," "second," and "third" in terminology is merely for distinguishing descriptions of identical or similar components and should not be interpreted as emphasizing or implying the relative importance of a particular component.

[0021] Furthermore, in the description of the embodiments of the present invention, "several", "more than", and "a number of" represent at least two. The number can be any number, such as 2, 3, 4, 5, 6, 7, 8, or 9, and can even exceed nine.

[0022] Furthermore, in the description of the technical solution of this invention, unless otherwise explicitly specified / limited / restricted, the terms "set up," "install," "connect," "link," "provided with," "laid out," and "arranged" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to common connection methods in the art, such as welding, riveting, bolting, and threaded connections. Such connections can be mechanical, electrical, or communication connections; they can be direct connections or indirect connections through an intermediate medium; and they can refer to the internal communication between two components.

[0023] Example 1 like Figures 1 to 4 As shown, a method for generating an emergency rescue path for a collapsed body inside a tunnel includes the following steps: S1. Obtain advanced geological prediction data of the collapsed body; divide the collapsed body into multiple crossing sections along a predetermined direction, and let the crossing sections from the location near the rescue initiation point to the predetermined rescue location be the i-th crossing section, where i is the number, i=1, 2, 3...; assign the advanced geological prediction data to the corresponding crossing section.

[0024] S2. Select the i-th crossing point of the tunnel boring machine on the i-th crossing section.

[0025] S3. Taking the i-th crossing point as the starting point and the turning performance of the tunnel boring machine as the boundary condition, select the i+1 crossing point of the tunnel boring machine on the i+1 crossing section.

[0026] S4. Repeat S2 to S3, incrementing the value of i by one each time, until the crossing point reaches the predetermined rescue location; connect the crossing points into a line to obtain alternative paths.

[0027] S5. Reset the value of i to one, repeat S2 to S4, obtain at least two different alternative paths, and select one of the alternative paths as the rescue path based on the tunneling performance of the tunnel boring machine.

[0028] The emergency rescue path generation method for tunnel collapses in this embodiment divides the collapse into multiple crossing sections, selects crossing points on the crossing sections based on the turning performance of the tunnel boring machine (TBM), connects the crossing points to obtain alternative paths, and finally selects a rescue path from the alternative paths based on the tunneling performance of the TBM. This ensures that the rescue path meets the turning performance requirements of the TBM, thus preventing the TBM from being stuck by the collapse, and also helps the TBM maintain a high tunneling efficiency and speed. As a result, a lifeline can be provided for the rescue of trapped personnel as early as possible, effectively ensuring the safety of the trapped personnel.

[0029] It is important to note that the rescue initiation location refers to the starting point of the tunnel boring machine (TBM). The specific location depends on the actual situation, such as the tunnel entrance or the side of the tunnel. The planned rescue location also depends on the actual situation, such as the middle of the tunnel or the tunnel face. The naming of the crossing point is only for the convenience of describing the intersection of the alternative path and the corresponding crossing section. However, for the TBM, when it actually crosses the crossing point, the crossing point will form a circular or elliptical area.

[0030] In an optional implementation, S1 acquires advanced geological prediction data using ground-penetrating radar and / or transient electromagnetic methods.

[0031] In optional implementations, the advanced geological prediction data includes the location and size of hard objects, metallic objects, and loose objects within the collapsed body; hard objects include collapsed concrete or rock blocks that have collapsed from the surrounding rock of the tunnel; metallic objects include large metal structures or engineering equipment; and loose objects include loose silt or sand. For example... Figure 2 As shown, the black coordinate axis in the figure is parallel to the tunnel axis, the red coordinate axis is parallel to the tunnel width direction, and the dark blue coordinate axis is parallel to the height direction. The bright yellow, dark blue, and light blue dot clouds represent the tunnel outline; the brown objects are loose collapsed material (i.e., loose objects in this embodiment), the light blue objects are concrete / hard rock blocks (i.e., hard objects in this embodiment), and the red objects are metal components (i.e., metal objects in this embodiment). The empty parts are voids. Figure 3 This shows a top-down longitudinal section of the advanced geological prediction data corresponding to the collapse body, where the dashed lines represent the crossing sections divided by the point cloud.

[0032] Since small tunnel boring machines (TBMs) are often used in rescue operations for tunnel collapse accidents, and these machines have great difficulty penetrating metal objects; for hard objects, although they can be excavated by injecting softening agents, the excavation efficiency is low; while loose objects are the parts that small TBMs can quickly pass through; therefore, in this embodiment, the geological data of hard objects, metal objects and loose objects are acquired in S1 to guide the selection of subsequent crossing points.

[0033] In an optional embodiment, the predetermined direction includes the tunnel axis (parallel to the centerline of the tunnel), that is, in this embodiment, the tunnel is divided into several cross sections with normals parallel to the tunnel axis along the tunnel axis.

[0034] In an optional implementation, assigning advanced geological prediction data to the corresponding crossing section includes the following steps: The location coordinates and boundary coordinates of hard and metallic objects in the advanced geological prediction data are projected onto the corresponding crossing sections, and the remaining areas are filled with loose objects. This allows the areas occupied by hard, metallic, and loose objects to be marked on the crossing sections, serving as one of the bases for selecting subsequent crossing points.

[0035] In an optional implementation, when selecting the crossing point in S2 and S3, the location of the metal object is excluded, that is, the crossing point avoids the location of the metal object.

[0036] As mentioned above, since small tunnel boring machines (TBMs) have great difficulty passing through metal objects, this implementation method directly excludes the location of metal objects when selecting crossing points to avoid the small TBMs being stuck by metal objects.

[0037] In the above implementation, when selecting crossing points in S2 and S3, crossing points with higher priority are selected according to priority ranking. Priority ranking includes a first ranking, which is: the location of loose objects is higher than the location of hard objects. That is, within the range allowed by the turning performance of the tunnel boring machine, if there are both loose and hard objects, the crossing point is selected first in the location of the loose objects; if there are only hard objects, the crossing point is selected in the location of the hard objects.

[0038] As mentioned above, since the tunneling efficiency of small tunnel boring machines is higher in loose objects than in hard objects, this embodiment prioritizes selecting loose objects and then hard objects when selecting crossing points, so that the small tunnel boring machine can operate with the highest possible tunneling efficiency, thereby helping to speed up the implementation of rescue operations.

[0039] In the above embodiments, the priority ranking also includes a second ranking, in which the position closer to the center line of the collapsed body is ranked higher than the position farther away from the center line of the collapsed body; the priority of the second ranking is lower than the first ranking.

[0040] When selecting crossing points, there may be multiple selectable locations for loose or hard objects on the same crossing section. Therefore, this implementation method proposes a second sorting based on the first sorting to select a location closer to the centerline of the collapsed body, thereby reserving more space for subsequent path changes. For example, when there are multiple selectable locations for loose objects on the crossing section, the location closest to the centerline of the collapsed body is selected; when there are multiple selectable locations for hard objects on the crossing section, the location closest to the centerline of the collapsed body is selected; when there are both multiple selectable locations for loose objects and multiple selectable locations for hard objects on the crossing section, all hard object locations are first excluded according to the first sorting, and then the location closest to the centerline of the collapsed body is selected according to the second sorting.

[0041] In the above embodiments, after determining whether the crossing point is located at the location of a loose object or a hard object through the first sorting, the crossing point can also be randomly selected directly at the location of the loose object or the hard object to increase the diversity of alternative paths as much as possible, thereby helping to select the most efficient rescue path through more alternative paths.

[0042] In an optional implementation, the steering performance of the tunnel boring machine includes at least one of the following: steering radius, steering arc, guiding accuracy, and cutterhead deflection angle.

[0043] In an optional implementation, when i≥2, S3 includes the following steps: S31, for example Figure 4As shown, a conical region is created, with the vertex of the conical region being the i-th crossing point. The apex angle of the conical region is twice the maximum turning angle of the tunnel boring machine. The axis of the conical region is the line connecting the (i-1)-th crossing point and the i-th crossing point (i.e., ...). Figure 4 (The tunnel boring machine's travel path is shown by the dashed line in the middle). S32. Obtain the cross-sectional area of ​​the conical region on the (i+1)th crossing section, and select the (i+1)th crossing point within the cross-sectional area.

[0044] This embodiment proposes a specific method that uses the turning performance of the tunnel boring machine (TBM) as a boundary condition to limit the selection range of crossing points on the (i+1)th crossing section. This method can ensure that the alternative paths meet the requirements of the TBM's turning performance, thereby avoiding the situation where the TBM gets stuck in the collapsed body.

[0045] In the above embodiments, the maximum turning angle of the tunnel boring machine depends on the actual model of the tunnel boring machine used, and is generally the ratio of the maximum turning arc to the turning radius.

[0046] In an optional implementation, S5 includes the following steps: S51. Eliminate alternative paths that pass through metal objects; count the lengths of hard and loose objects passed through each alternative path. S52. Select the shortest alternative path with the shortest length of the hard object as the rescue path; when there is more than one alternative path with the shortest length of the hard object, select the alternative path with the shortest length of both the hard object and the loose object as the rescue path.

[0047] As mentioned above, the tunneling efficiency of a tunnel boring machine (TBM) decreases sequentially through loose objects, hard objects, and metal objects. The alternative paths in this embodiment are obtained by connecting the crossing points on the cross-section. Therefore, even if the crossing point does not pass through a metal object, the alternative path may still pass through a metal object. Thus, in S5, this embodiment eliminates alternative paths that pass through metal objects and optimizes the remaining alternative paths from the perspective of tunneling efficiency. This allows the TBM to travel through loose objects as much as possible, cross hard objects as little as possible, and avoid metal objects, thereby maintaining a high tunneling efficiency and accelerating the rescue operation. For example, when the length of a hard object in an alternative path is 0, it means that this alternative path will not cross a hard object. In this case, the TBM can reach the predetermined rescue location and begin rescue operations more quickly by traveling through this alternative path.

[0048] Example 2 An emergency rescue path generation system for tunnel collapse includes a memory and a processor; the memory stores at least one instruction; the processor is communicatively connected to the memory and can execute the instructions in the memory, thereby executing the emergency rescue path generation method for tunnel collapse in Embodiment 1.

[0049] In an optional implementation, the processor can be further divided into an acquisition unit, a partitioning unit, a traversal unit, a path unit, a looping unit, and a selection unit; wherein: The acquisition unit is used to acquire advanced geological prediction data of the collapsed body, the steering performance of the tunnel boring machine, and the tunneling performance of the tunnel boring machine.

[0050] The division unit is used to divide the collapsed body into multiple crossing sections along a predetermined direction, and to define each crossing section sequentially from the location near the rescue initiation position to the predetermined rescue position as the i-th crossing section, where i is the number, i=1, 2, 3..., and to assign advanced geological prediction data to the corresponding crossing section.

[0051] The crossing unit is used to select the i-th crossing point of the tunnel boring machine on the i-th crossing section, and with the i-th crossing point as the starting point and the turning performance of the tunnel boring machine as the boundary condition, select the i+1-th crossing point of the tunnel boring machine on the i+1-th crossing section.

[0052] The path unit is used to connect the selected crossing points to form alternative paths.

[0053] The loop unit controls the traversal unit and the path unit to work in a loop, and increments the value of i by one in each loop until the alternative path reaches the predetermined rescue position, at which point the value of i is reset to 1; then the loop unit and the path unit are controlled to work in a loop again, and the value of i is incremented by one in each loop until at least two alternative paths are obtained.

[0054] The optimization unit is used to compare the alternative paths and select one of the alternative paths as the rescue path based on the tunneling performance of the tunnel boring machine.

[0055] It should be understood that the system disclosed in the embodiments of the present invention can be implemented in other ways. For example, the above division of units is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the communication connection between units may be through some interface, server, or indirect coupling or communication connection, and may be electrical or other forms.

[0056] Furthermore, the functional units in the embodiments of the present invention can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0057] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0058] In optional implementations, the specific form of the memory includes, but is not limited to, hard disk drives, solid-state drives, memory cards, magnetic tapes, or optical discs.

[0059] In optional implementations, the processor may take the form of, but is not limited to, a CPU, GPU, embedded processor, or neural network processor.

[0060] 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 and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for generating emergency rescue paths for collapsed structures within tunnels, characterized in that, Includes the following steps: S1. Obtain advanced geological prediction data of the collapsed body; divide the collapsed body into multiple crossing sections along a predetermined direction, and let the crossing sections from the location near the rescue initiation point to the predetermined rescue location be the i-th crossing section, where i is the number, i=1, 2, 3...; assign the advanced geological prediction data to the corresponding crossing section. S2. Select the i-th crossing point of the tunnel boring machine on the i-th crossing section; S3. Taking the i-th crossing point as the starting point and the turning performance of the tunnel boring machine as the boundary condition, select the i+1 crossing point of the tunnel boring machine on the i+1 crossing section. S4. Repeat S2 to S3, incrementing the value of i by one each time, until the crossing point reaches the predetermined rescue location; connect the crossing points into a line to obtain alternative routes. S5. Reset the value of i to one, repeat S2 to S4, obtain at least two different alternative paths, and select one of the alternative paths as the rescue path based on the tunneling performance of the tunnel boring machine.

2. The method for generating an emergency rescue path for a collapsed body in a tunnel according to claim 1, characterized in that, Advanced geological forecast data includes the location and size of hard, metallic, and loose objects within the collapsed body.

3. The method for generating an emergency rescue path for a collapsed body in a tunnel according to claim 2, characterized in that, When selecting crossing points in S2 and S3, exclude locations where metal objects are located.

4. The method for generating an emergency rescue path for a collapsed body in a tunnel according to claim 3, characterized in that, When selecting crossing points in S2 and S3, crossing points with higher priority are selected according to priority sorting; priority sorting includes the first sort, which is: the location of the loose object is higher than the location of the hard object.

5. The method for generating an emergency rescue path for a collapsed body in a tunnel according to claim 4, characterized in that, The priority ranking also includes a second ranking, in which positions closer to the center line of the collapsed body are ranked higher than positions farther away from the center line of the collapsed body; the priority of the second ranking is lower than that of the first ranking.

6. The method for generating an emergency rescue path for a collapsed body in a tunnel according to claim 2, characterized in that, S5 includes the following steps: S51. Eliminate alternative paths that pass through metal objects; count the lengths of hard and loose objects passed through each alternative path. S52. Select the shortest alternative path with the shortest length of the hard object as the rescue path; when there is more than one alternative path with the shortest length of the hard object, select the alternative path with the shortest length of both the hard object and the loose object as the rescue path.

7. A method for generating an emergency rescue path for a collapsed body in a tunnel according to any one of claims 1 to 6, characterized in that, When i≥2, S3 includes the following steps: S31. Create a conical region. The vertex of the conical region is the i-th crossing point. The apex angle of the conical region is twice the maximum turning angle of the tunnel boring machine. The axis of the conical region is the line connecting the (i-1)-th crossing point and the i-th crossing point. S32. Obtain the cross-sectional area of ​​the conical region on the (i+1)th crossing section, and select the (i+1)th crossing point within the cross-sectional area.

8. A method for generating an emergency rescue path for a collapsed body in a tunnel according to any one of claims 1 to 6, characterized in that, S1 acquires advanced geological prediction data through ground-penetrating radar and / or transient electromagnetic methods.

9. A method for generating an emergency rescue path for a collapsed body in a tunnel according to any one of claims 1 to 6, characterized in that, The predetermined direction includes the tunnel axis.

10. A system for generating emergency rescue routes for collapsed structures within tunnels, characterized in that, include: The memory stores at least one instruction; The processor is communicatively connected to the memory and is capable of executing instructions in the memory to perform the method for generating an emergency rescue path for a collapsed body in a tunnel as described in any one of claims 1 to 9.

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