A method and system for comprehensive control of rotation and absorption suitable for a tunnel of a flow state of extremely soft rock

Abstract

The application provides a comprehensive control method for flow state extremely soft rock tunnel, comprising: obtaining geological exploration data and first expected convergence data of a target soft rock tunnel; selecting a mud burst treatment scheme; calculating second expected convergence data; selecting a release and absorption treatment scheme from a preset release and absorption scheme group; and controlling soft rock of the flow state extremely soft rock tunnel during excavation. The application also provides a comprehensive control system for flow state extremely soft rock tunnel. The application uses four schemes of elimination, conversion, release and energy absorption to process the flow state extremely soft rock tunnel surrounding rock, and determines the specific use scheme by using the tunnel site data, which greatly improves the safety of the flow state extremely soft rock tunnel construction, is beneficial to expand the stratum types of the tunnel construction, and has very good economic and social benefits.

Description

Technical Field

[0001] This invention relates to the field of computer control technology, specifically to a comprehensive control method and system for the absorption, release, and dissipation of fluid in extremely soft rock tunnels. Background Technology

[0002] The stability problem of surrounding rock in soft rock tunnels is essentially the problem of surrounding rock instability. The loss of stability in soft rock tunnels is mainly due to large displacements of the surrounding rock, the development of joints forming large-area slip surfaces, and the creation of discontinuous displacement fields between the rock blocks, leading to instability and collapse. Therefore, the essence of studying the stability of surrounding rock in soft rock tunnels is to analyze the displacement characteristics of the surrounding rock blocks. In recent years, domestic and international scholars have mainly conducted research and analysis on the stability of soft rock tunnels from several aspects, including theoretical analysis, experimental models, numerical simulations, and field monitoring.

[0003] However, for tunnels with extremely soft, flowing rock surroundings, the lack of basic stability makes them prone to collapse upon excavation, greatly increasing the risk of construction safety accidents. Therefore, current on-site construction methods for such situations typically employ single approaches such as pre-support. However, pre-support itself is very expensive, making it highly uneconomical for construction sites with large-scale occurrences of extremely soft, flowing rock surroundings. Furthermore, pre-support for extremely soft, flowing rock surroundings is difficult to implement and has very low safety. Summary of the Invention

[0004] In order to at least overcome the above-mentioned shortcomings in the prior art, the purpose of this application is to provide a comprehensive control method for the absorption, transformation and release of fluid in extremely soft rock tunnels.

[0005] In a first aspect, embodiments of this application provide a comprehensive control method for the elimination, transformation, release, and absorption of fluid-state extremely soft rock tunnels, including:

[0006] Obtain geological survey data of the target soft rock tunnel, and calculate the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data;

[0007] Based on the first expected convergence data, at least one mud inrush treatment scheme is selected from the preset mud inrush elimination scheme group;

[0008] The second expected convergence data for the excavation of the target soft rock tunnel under the action of the mudslide treatment scheme is calculated based on the geological survey data.

[0009] Based on the difference between the second expected convergence data and the target convergence data, at least one release processing scheme is selected from the preset release scheme group;

[0010] Based on the selected mudslide treatment scheme and the release and absorption treatment scheme, soft rock control is carried out during the excavation of the extremely soft rock tunnel.

[0011] In the current technology, the research on the surrounding rock of extremely soft rock tunnels is still in its early stages. Due to the high fluidity of the surrounding rock of extremely soft rock tunnels, the excavation and construction risks of extremely soft rock tunnels are greatly increased, and ordinary treatment solutions for the surrounding rock of soft rock tunnels are no longer applicable.

[0012] To address the shortcomings of the existing technologies, this application proposes a comprehensive control method for eliminating, converting, releasing, and absorbing energy in extremely soft rock tunnels. The main idea is to propose four schemes—elimination, conversion, release, and energy absorption—to treat the surrounding rock of extremely soft, fluid-state tunnels. Elimination refers to the pre-emptive elimination of mudslides; conversion refers to the transformation of the soft rock's morphology, such as freezing, to convert the fluid state of the extremely soft rock into a solid state, preventing mudslides; release refers to allowing the surrounding rock to deform or pre-deform to release energy; and energy absorption refers to using energy-absorbing structures or materials to absorb the energy released by the surrounding rock of extremely soft, fluid-state tunnels.

[0013] Based on the above concept, this application embodiment adopts a scheme for selecting mud inrush elimination, conversion, release, and absorption schemes based on actual geological survey data. This involves calculating first expected convergence data based on the geological survey data. It should be understood that the first expected convergence data may be a calculated, definite value or a value approaching infinity. Similarly, the first expected convergence data may be related data such as convergence rate, convergence acceleration, or convergence displacement; this application embodiment does not impose further limitations on this. In practice, the inventors have found that since the mud inrush elimination and conversion scheme can treat the surrounding rock of extremely soft, fluid rock tunnels before tunnel excavation, reducing the risk of surrounding rock instability between excavation and support, this application embodiment uses the first expected convergence data as a benchmark to select at least one mud inrush treatment scheme from the mud inrush elimination and conversion scheme group. The mud inrush elimination and conversion scheme group consists of elimination and conversion schemes, thereby reducing the risks generated during tunnel excavation.

[0014] In this embodiment, further post-excavation treatment of the extremely soft, fluid rock is required to ensure that instability does not occur during the period from excavation to the completion of support. Therefore, this embodiment uses second expected convergence data for further scheme selection. To ensure the predictability of subsequent initial support operations, an allowable target convergence data needs to be set, i.e., the maximum allowable convergence data for the surrounding rock. Based on the comparison between the second expected convergence data and the target convergence data, a release treatment scheme can be selected from the release scheme group, further ensuring the smooth progress and safety of construction. This application innovatively uses four schemes—elimination, conversion, release, and energy absorption—to treat the surrounding rock of extremely soft, fluid rock tunnels. Specific application schemes are determined by using on-site tunnel data, greatly improving the safety of extremely soft, fluid rock tunnel construction, and facilitating the expansion of the types of geological formations that can be used for tunnel construction, resulting in significant economic and social benefits.

[0015] In one possible implementation, the mudslide treatment scheme in the mudslide elimination scheme group includes an elimination scheme for eliminating extremely soft, fluid rock and a transformation scheme for transforming the morphology of extremely soft, fluid rock.

[0016] In one possible implementation, acquiring geological survey data of the target soft rock tunnel and calculating the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data includes:

[0017] A stratigraphic simulation model was established based on the geological exploration data.

[0018] Based on the excavation plan of the target soft rock tunnel, the geological simulation model is used to perform corresponding excavation calculations, and the deformation data of the target soft rock tunnel under the preset time of unsupported condition after excavation is used as the first expected convergence data.

[0019] In one possible implementation, each of the mudslide treatment schemes is configured with a corresponding first convergence data interval;

[0020] Based on the first expected convergence data, at least one mudslide treatment scheme is selected from the preset mudslide mitigation scheme group, including:

[0021] Select the mud inrush treatment scheme from the mud inrush mitigation scheme group that has the first expected convergence data falling into the corresponding first convergence data interval.

[0022] In one possible implementation, the release schemes in the release scheme group include a release scheme for releasing soft rock deformation and an absorption scheme for absorbing the energy of soft rock deformation.

[0023] In one possible implementation, selecting at least one release processing scheme from a preset group of release schemes based on the difference between the second expected convergence data and the target convergence data includes:

[0024] The second expected convergence data is input into the cost screening model corresponding to the target convergence data; the input data of the cost screening model is the convergence data, and the output data of the cost screening model is a release processing scheme or a combination of at least two release processing schemes that meet the minimum cost of the target convergence data, as well as the parameters of the release processing scheme;

[0025] The output data of the cost screening model is used as at least one release treatment scheme selected from the preset release scheme group.

[0026] In one possible implementation, soft rock control during the excavation of a fluid-state extremely soft rock tunnel, based on the selection of the mudslide treatment scheme and the release and absorption treatment scheme, includes:

[0027] The design scheme was revised based on the aforementioned release and absorption treatment scheme, and the construction scheme was revised based on the aforementioned mudslide treatment scheme and the aforementioned release and absorption treatment scheme to control soft rock.

[0028] 8. A comprehensive control system for the elimination, conversion, release, and absorption of fluid-state extremely soft rock tunnels using the method described in any one of claims 1 to 7, characterized in that it comprises:

[0029] The acquisition module is configured to acquire geological survey data of the target soft rock tunnel and calculate the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data.

[0030] The first selection module is configured to select at least one mud inrush treatment scheme from a preset mud inrush mitigation scheme group based on the first expected convergence data.

[0031] The calculation module is configured to calculate, based on the geological survey data, the second expected convergence data for the excavation of the target soft rock tunnel under the action of the mudslide treatment scheme;

[0032] The second selection module is configured to select at least one release processing scheme from a preset release scheme group based on the difference between the second expected convergence data and the target convergence data.

[0033] The control module is configured to perform soft rock control on the excavation of the fluidized extremely soft rock tunnel according to the selected mudslide treatment scheme and the release and absorption treatment scheme.

[0034] In one possible implementation, the acquisition module is further configured as follows:

[0035] A stratigraphic simulation model was established based on the geological exploration data.

[0036] Based on the excavation plan of the target soft rock tunnel, the geological simulation model is used to perform corresponding excavation calculations, and the deformation data of the target soft rock tunnel under the preset time of unsupported condition after excavation is used as the first expected convergence data.

[0037] In one possible implementation, each of the mudslide treatment schemes is configured with a corresponding first convergence data interval;

[0038] The first selection module is also configured to:

[0039] Select the mud inrush treatment scheme from the mud inrush mitigation scheme group that has the first expected convergence data falling into the corresponding first convergence data interval.

[0040] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0041] This invention presents a comprehensive control method and system for eliminating, converting, releasing, and absorbing energy in extremely soft, fluid rock tunnels. It innovatively uses four schemes—elimination, conversion, release, and energy absorption—to treat the surrounding rock of extremely soft, fluid rock tunnels. The specific application scheme is determined by using on-site tunnel data, which greatly improves the safety of construction of extremely soft, fluid rock tunnels, helps to expand the types of geological formations that can be used for tunnel construction, and has very good economic and social benefits. Attached Figure Description

[0042] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0043] Figure 1 This is a schematic diagram of the method steps in an embodiment of this application;

[0044] Figure 2 This is a schematic diagram of the system architecture of an embodiment of this application. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0046] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0047] Please refer to the following: Figure 1 This is a schematic flowchart illustrating a comprehensive control method for the elimination, transformation, release, and absorption of fluidized extremely soft rock tunnels, provided by an embodiment of the present invention. This comprehensive control method for the elimination, transformation, release, and absorption of fluidized extremely soft rock tunnels can be applied to… Figure 2The integrated control system for absorption, transformation, release, and absorption in extremely soft rock tunnels is described in the following steps S1-S5.

[0048] S1: Obtain geological survey data of the target soft rock tunnel, and calculate the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data;

[0049] S2: Select at least one mud inrush treatment scheme from the preset mud inrush elimination scheme group based on the first expected convergence data;

[0050] S3: Calculate the second expected convergence data for the excavation of the target soft rock tunnel under the action of the mudslide treatment scheme based on the geological survey data;

[0051] S4: Select at least one release processing scheme from the preset release scheme group based on the difference between the second expected convergence data and the target convergence data;

[0052] S5: Based on the selected mudslide treatment scheme and the release and absorption treatment scheme, soft rock control is carried out during the excavation of the extremely soft rock tunnel.

[0053] In the current technology, the research on the surrounding rock of extremely soft rock tunnels is still in its early stages. Due to the high fluidity of the surrounding rock of extremely soft rock tunnels, the excavation and construction risks of extremely soft rock tunnels are greatly increased, and ordinary treatment solutions for the surrounding rock of soft rock tunnels are no longer applicable.

[0054] To address the shortcomings of the existing technologies, this application proposes a comprehensive control method for eliminating, converting, releasing, and absorbing energy in extremely soft rock tunnels. The main idea is to propose four schemes—elimination, conversion, release, and energy absorption—to treat the surrounding rock of extremely soft, fluid-state tunnels. Elimination refers to the pre-emptive elimination of mudslides; conversion refers to the transformation of the soft rock's morphology, such as freezing, to convert the fluid state of the extremely soft rock into a solid state, preventing mudslides; release refers to allowing the surrounding rock to deform or pre-deform to release energy; and energy absorption refers to using energy-absorbing structures or materials to absorb the energy released by the surrounding rock of extremely soft, fluid-state tunnels.

[0055] Based on the above concept, this application embodiment adopts a scheme for selecting mud inrush elimination, conversion, release, and absorption schemes based on actual geological survey data. This involves calculating first expected convergence data based on the geological survey data. It should be understood that the first expected convergence data may be a calculated, definite value or a value approaching infinity. Similarly, the first expected convergence data may be related data such as convergence rate, convergence acceleration, or convergence displacement; this application embodiment does not impose further limitations on this. In practice, the inventors have found that since the mud inrush elimination and conversion scheme can treat the surrounding rock of extremely soft, fluid rock tunnels before tunnel excavation, reducing the risk of surrounding rock instability between excavation and support, this application embodiment uses the first expected convergence data as a benchmark to select at least one mud inrush treatment scheme from the mud inrush elimination and conversion scheme group. The mud inrush elimination and conversion scheme group consists of elimination and conversion schemes, thereby reducing the risks generated during tunnel excavation.

[0056] In this embodiment, further post-excavation treatment of the extremely soft, fluid rock is required to ensure that instability does not occur during the period from excavation to the completion of support. Therefore, this embodiment uses second expected convergence data for further scheme selection. To ensure the predictability of subsequent initial support operations, an allowable target convergence data needs to be set, i.e., the maximum allowable convergence data for the surrounding rock. Based on the comparison between the second expected convergence data and the target convergence data, a release treatment scheme can be selected from the release scheme group, further ensuring the smooth progress and safety of construction. This application innovatively uses four schemes—elimination, conversion, release, and energy absorption—to treat the surrounding rock of extremely soft, fluid rock tunnels. Specific application schemes are determined by using on-site tunnel data, greatly improving the safety of extremely soft, fluid rock tunnel construction, and facilitating the expansion of the types of geological formations that can be used for tunnel construction, resulting in significant economic and social benefits.

[0057] In one possible implementation, the mudslide treatment scheme in the mudslide elimination scheme group includes an elimination scheme for eliminating extremely soft, fluid rock and a transformation scheme for transforming the morphology of extremely soft, fluid rock.

[0058] In one possible implementation, acquiring geological survey data of the target soft rock tunnel and calculating the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data includes:

[0059] A stratigraphic simulation model was established based on the geological exploration data.

[0060] Based on the excavation plan of the target soft rock tunnel, the geological simulation model is used to perform corresponding excavation calculations, and the deformation data of the target soft rock tunnel under the preset time of unsupported condition after excavation is used as the first expected convergence data.

[0061] In the implementation of this application embodiment, the calculation of the first expected convergence data can be performed using a geological simulation model to simulate excavation. This can be achieved using various existing finite element software or by self-programming, and this application will not impose any limitations on it here. It should be understood that for the acquisition of deformation data, at least one of the corresponding velocity, acceleration, and displacement data can be acquired. If the calculation of the geological simulation model fails to converge after excavation, the deformation data can be recorded as infinity and used as the first expected convergence data to adapt to the state of extremely soft fluid rock.

[0062] In one possible implementation, each of the mudslide treatment schemes is configured with a corresponding first convergence data interval;

[0063] Based on the first expected convergence data, at least one mudslide treatment scheme is selected from the preset mudslide mitigation scheme group, including:

[0064] Select the mud inrush treatment scheme from the mud inrush mitigation scheme group that has the first expected convergence data falling into the corresponding first convergence data interval.

[0065] When implementing the embodiments of this application, when selecting a scheme from the mud inrush elimination and conversion scheme group, it is necessary to select the mud inrush treatment scheme based on the first convergence data interval into which the first expected convergence data falls. Since eliminating mud inrush and converting mud inrush schemes are generally not easy to implement simultaneously, scheme conflicts generally do not occur. For different first expected convergence data, different mud inrush treatment schemes can be used for initial control, which is beneficial to the safety of subsequent construction.

[0066] In one possible implementation, the release schemes in the release scheme group include a release scheme for releasing soft rock deformation and an absorption scheme for absorbing the energy of soft rock deformation.

[0067] In one possible implementation, selecting at least one release processing scheme from a preset group of release schemes based on the difference between the second expected convergence data and the target convergence data includes:

[0068] The second expected convergence data is input into the cost screening model corresponding to the target convergence data; the input data of the cost screening model is the convergence data, and the output data of the cost screening model is a release processing scheme or a combination of at least two release processing schemes that meet the minimum cost of the target convergence data, as well as the parameters of the release processing scheme;

[0069] The output data of the cost screening model is used as at least one release treatment scheme selected from the preset release scheme group.

[0070] In implementing this application, selecting at least one release-absorption treatment scheme generally requires choosing corresponding process parameters, such as the timing of deformation and the allowable degree of deformation. Due to cost differences among different release-absorption schemes, a cost-screening model is used for configuration and selection. This cost-screening model corresponds to different target convergence data. Its input data is the second expected convergence data, and its output data is the scheme or combination of schemes with the lowest cost and its corresponding parameters. The cost-screening model is mainly generated using a decision tree mechanism, which sets the expected cost of the scheme under different parameter conditions, as well as the selectable schemes or combinations of schemes and their corresponding parameters under different differences between the second expected convergence data and the target convergence data. In this way, the optimal scheme can be selected for secondary treatment of soft rock.

[0071] In one possible implementation, soft rock control during the excavation of a fluid-state extremely soft rock tunnel, based on the selection of the mudslide treatment scheme and the release and absorption treatment scheme, includes:

[0072] The design scheme was revised based on the aforementioned release and absorption treatment scheme, and the construction scheme was revised based on the aforementioned mudslide treatment scheme and the aforementioned release and absorption treatment scheme to control soft rock.

[0073] Based on the same inventive concept, and for the purpose of elaborating on the above-mentioned integrated control system for the elimination, transformation, release, and absorption of fluid-state extremely soft rock tunnels, please refer to the references. Figure 2 This invention provides a schematic diagram of the communication architecture for a comprehensive control system for the absorption, release, and dissipation of fluid-state extremely soft rock tunnels, as disclosed in an embodiment of the present invention.

[0074] The acquisition module is configured to acquire geological survey data of the target soft rock tunnel and calculate the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data.

[0075] The first selection module is configured to select at least one mud inrush treatment scheme from a preset mud inrush mitigation scheme group based on the first expected convergence data.

[0076] The calculation module is configured to calculate, based on the geological survey data, the second expected convergence data for the excavation of the target soft rock tunnel under the action of the mudslide treatment scheme;

[0077] The second selection module is configured to select at least one release processing scheme from a preset release scheme group based on the difference between the second expected convergence data and the target convergence data.

[0078] The control module is configured to perform soft rock control on the excavation of the fluidized extremely soft rock tunnel according to the selected mudslide treatment scheme and the release and absorption treatment scheme.

[0079] In one possible implementation, the acquisition module is further configured as follows:

[0080] A stratigraphic simulation model was established based on the geological exploration data.

[0081] Based on the excavation plan of the target soft rock tunnel, the geological simulation model is used to perform corresponding excavation calculations, and the deformation data of the target soft rock tunnel under the preset time of unsupported condition after excavation is used as the first expected convergence data.

[0082] In one possible implementation, each of the mudslide treatment schemes is configured with a corresponding first convergence data interval;

[0083] The first selection module is also configured to:

[0084] Select the mud inrush treatment scheme from the mud inrush mitigation scheme group that has the first expected convergence data falling into the corresponding first convergence data interval.

[0085] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0086] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, or may be electrical, mechanical or other forms of connection.

[0087] The units described as separate components may or may not be physically separate. As will be apparent to those skilled in the art, the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0088] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0089] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present 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 grid device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0090] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A comprehensive control method for the elimination, transformation, release, and absorption of fluid-state extremely soft rock tunnels, characterized in that, include: Obtain geological survey data of the target soft rock tunnel, and calculate the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data; Based on the first expected convergence data, at least one mud inrush treatment scheme is selected from the preset mud inrush elimination scheme group; The second expected convergence data for the excavation of the target soft rock tunnel under the action of the mudslide treatment scheme is calculated based on the geological survey data. Based on the difference between the second expected convergence data and the target convergence data, at least one release processing scheme is selected from the preset release scheme group; Based on the selected mudslide treatment scheme and the release and absorption treatment scheme, soft rock control is carried out during the excavation of the extremely soft rock tunnel. Obtaining geological survey data for the target soft rock tunnel and calculating the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data includes: establishing a stratigraphic simulation model based on the geological survey data; According to the excavation scheme of the target soft rock tunnel, the stratum simulation model is used to perform corresponding excavation calculations, and the deformation data of the target soft rock tunnel under the preset time of unsupported condition after excavation is used as the first expected convergence data. Selecting at least one release processing scheme from a preset release scheme group based on the difference between the second expected convergence data and the target convergence data includes: inputting the second expected convergence data into a cost screening model corresponding to the target convergence data; the input data of the cost screening model is the convergence data, and the output data of the cost screening model is a release processing scheme or a combination of at least two release processing schemes that meet the minimum cost of the target convergence data, as well as the parameters of the release processing scheme; The output data of the cost screening model is used as at least one release treatment scheme selected from the preset release scheme group.

2. The integrated control method for absorption, transformation, release, and resorption applicable to tunnels in extremely soft, fluidized rock, as described in claim 1, is characterized in that... The mudslide treatment schemes in the mudslide elimination and transformation scheme group include elimination schemes for eliminating extremely soft, fluid rocks and transformation schemes for transforming the morphology of extremely soft, fluid rocks.

3. The integrated control method for absorption, transformation, release, and resorption applicable to tunnels in extremely soft, fluidized rock, as described in claim 1, is characterized in that... Each mudslide treatment scheme is configured with a corresponding first convergence data interval. Selecting at least one mud inrush treatment scheme from a preset mud inrush mitigation scheme group based on the first expected convergence data includes: selecting the mud inrush treatment scheme from the mud inrush mitigation scheme group whose first expected convergence data falls within the corresponding first convergence data interval.

4. The integrated control method for absorption, transformation, release, and resorption in extremely soft rock tunnels according to claim 1, characterized in that, The release scheme group includes a release scheme for releasing soft rock deformation and an absorption scheme for absorbing the energy of soft rock deformation.

5. The integrated control method for absorption, transformation, release, and resorption in extremely soft rock tunnels according to claim 1, characterized in that, The soft rock control for the excavation of a fluid-state extremely soft rock tunnel based on the selected mudslide treatment scheme and the release and absorption treatment scheme includes: modifying the design scheme according to the release and absorption treatment scheme, and modifying the construction scheme according to the mudslide treatment scheme and the release and absorption treatment scheme to control soft rock.

6. A comprehensive control system for the elimination, transformation, release, and absorption of fluid-state extremely soft rock tunnels using the method described in any one of claims 1 to 5, characterized in that, include: The acquisition module is configured to acquire geological survey data of the target soft rock tunnel and calculate the first expected convergence data for the excavation of the target soft rock tunnel based on the geological survey data. The first selection module is configured to select at least one mud inrush treatment scheme from a preset mud inrush mitigation scheme group based on the first expected convergence data. The calculation module is configured to calculate, based on the geological survey data, the second expected convergence data for the excavation of the target soft rock tunnel under the action of the mudslide treatment scheme; The second selection module is configured to select at least one release processing scheme from a preset release scheme group based on the difference between the second expected convergence data and the target convergence data. The control module is configured to perform soft rock control on the excavation of the fluidized extremely soft rock tunnel according to the selected mudslide treatment scheme and the release and absorption treatment scheme.

7. A comprehensive control system for the elimination, conversion, release, and absorption of fluid-state extremely soft rock tunnels according to claim 6, characterized in that, The acquisition module is also configured to: establish a stratigraphic simulation model based on the geological exploration data; Based on the excavation plan of the target soft rock tunnel, the geological simulation model is used to perform corresponding excavation calculations, and the deformation data of the target soft rock tunnel under the preset time of unsupported condition after excavation is used as the first expected convergence data.

8. A comprehensive control system for the elimination, transformation, release, and absorption of fluid-state extremely soft rock tunnels according to claim 6, characterized in that, Each mudslide treatment scheme is configured with a corresponding first convergence data interval. The first selection module is also configured to: Select the mud inrush treatment scheme from the mud inrush mitigation scheme group that has the first expected convergence data falling into the corresponding first convergence data interval.

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