TBM tunnel construction surrounding rock classification method and system

Abstract

To solve the technical problem that the existing tunnel surrounding rock classification method for TBM construction does not form a quantitative classification standard, resulting in low accuracy, the present embodiment provides a TBM construction tunnel surrounding rock classification method and system, comprising: obtaining noise decibel values of multiple positions of the edge of the shield close to the cutter head of the TBM during tunneling, and obtaining video images of the starting position of the belt conveyor of the TBM; controlling the TBM main machine during tunneling, obtaining the noise decibel values, and obtaining the video images to synchronously collect data and record geological data during tunneling at the same time interval; generating a surrounding rock classification parameter arrangement summary table; generating a new surrounding rock classification parameter arrangement summary table; generating a tunneling mileage-average noise decibel value summary table; establishing a surrounding rock classification and average noise decibel value comparison table; generating a tunneling mileage-average noise decibel value-surrounding rock classification line summary table; and classifying the tunnel surrounding rock according to the tunneling mileage-average noise decibel value-surrounding rock classification line summary table.

Description

Technical Field

[0001] The present invention relates to a method and system for classifying surrounding rocks of a TBM-constructed tunnel. Background Art

[0002] The TBM (Transport Bomb Machine) is currently the most advanced tunnel construction machine in the world. Its advantages include minimal disturbance to the surrounding rock, smooth and rounded excavation surfaces, minimal over-excavation and under-excavation, high speed, high quality, and safe construction. It is widely used in industries such as water conservancy, hydropower, railways, and rail transit. Due to the lack of logging space between the TBM and the tunnel and the short downtime of the TBM, conventional geological logging and surrounding rock classification according to existing standards cannot be carried out on-site. Therefore, previous research has focused on the classification of surrounding rock for tunnels constructed using TBMs. The main approach relies on preliminary assessments of the size and composition of rock fragments, combined with the experience of geologists, to conduct macroscopic qualitative classification of tunnel surrounding rock.

[0003] At present, conventional geological cataloging and surrounding rock classification standards based on existing specifications are not applicable to TBM construction tunnels; the existing surrounding rock classification methods for TBM construction tunnels are macro-qualitative classification methods, without forming quantitative grading standards, and have low accuracy. Summary of the Invention

[0004] In order to solve the technical problem that the existing TBM construction tunnel surrounding rock classification method has no quantitative classification standard and leads to low accuracy, the embodiment of the present invention provides a TBM construction tunnel surrounding rock classification method and system.

[0005] The embodiments of the present invention are implemented through the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides a method for classifying surrounding rock of a tunnel constructed by a TBM, comprising:

[0007] Obtain noise decibel values ​​at multiple locations near the edge of the TBM's shield near the cutterhead during excavation, and obtain video images of the starting position of the TBM's conveyor belt;

[0008] Controlling the TBM host during excavation, obtaining the noise decibel value, and obtaining the video image to synchronously collect data at the same time interval and record geological data during the excavation process;

[0009] Calculating the average of the noise decibel values ​​at the multiple locations at the same time point, and generating a summary table of surrounding rock classification parameters according to different time points;

[0010] Deleting the average value of the noise decibel values ​​of the multiple locations at the same time point that are abnormal in the surrounding rock classification parameter summary table, and generating a new surrounding rock classification parameter summary table;

[0011] The noise decibel value data is processed based on the average noise decibel value at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segmentation, and the average noise decibel value at each pile number segmentation time point is obtained and a summary table of excavation mileage-average noise decibel value is generated;

[0012] Based on prior knowledge and geological data records, a comparison table between surrounding rock classification and average noise decibel value is established;

[0013] Based on the summary table of tunneling mileage-average noise decibel value and the comparison table of surrounding rock classification and average noise decibel value, a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line is generated;

[0014] The tunnel surrounding rock is classified according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line.

[0015] Furthermore, the tunnel surrounding rock is classified according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line, including:

[0016] Draw a two-dimensional line graph of tunneling mileage-average noise decibel value-surrounding rock classification line based on the tunneling mileage-average noise decibel value-surrounding rock classification line summary table;

[0017] The tunnel surrounding rock is classified according to the two-dimensional broken line graph of excavation mileage-average noise decibel value-surrounding rock classification line.

[0018] Furthermore, the data collection includes noise decibel value data and video images; the geological data includes preliminary geological judgment data of rock slag conditions and noise decibel values ​​of tunnel sections divided by key surrounding rock categories.

[0019] Furthermore, the average value of the noise decibel values ​​at the multiple locations at the same time point of the abnormality in the surrounding rock classification parameter summary table is deleted to generate a new surrounding rock classification parameter summary table; including:

[0020] Determine an average value of the noise decibel values ​​at the multiple locations at the same time point of the anomaly based on the geological data, the noise decibel values ​​obtained during the excavation process, the video images obtained, and TBM operating parameters;

[0021] The TBM operating parameters include thrust, torque, rotation speed and / or tunneling speed during TBM excavation.

[0022] Furthermore, the method controls the TBM host during excavation, obtains the noise decibel value, and obtains the video image to synchronously collect data at the same time interval and record geological data during the excavation process; including:

[0023] Synchronize the TBM host, obtain the noise decibel value, and obtain the time of the video image.

[0024] Furthermore, noise decibel value data processing is performed on the average noise decibel value at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segment, including:

[0025] The average noise decibel value is obtained by summing up the average noise decibel values ​​at the time points corresponding to the pile number segments and then calculating the average value.

[0026] In a second aspect, an embodiment of the present invention provides a system for classifying surrounding rock of a tunnel constructed by a TBM, comprising:

[0027] An acquisition unit, used to acquire noise decibel values ​​at multiple locations of the TBM shield near the edge of the cutterhead during excavation and to acquire a video image of the starting position of the TBM belt conveyor;

[0028] A control unit is used to control the TBM host during excavation, obtain the noise decibel value and obtain the video image at the same time interval to synchronously perform data acquisition and record geological data during the excavation process;

[0029] A surrounding rock classification parameter summary table generating unit is used to calculate the average value of the noise decibel values ​​of the multiple locations at the same time point, and generate a surrounding rock classification parameter summary table according to different time points;

[0030] a deletion unit, configured to delete the average value of the noise decibel values ​​of the plurality of locations at the same abnormal time point in the surrounding rock classification parameter summary table, and generate a new surrounding rock classification parameter summary table;

[0031] A unit for generating a summary table of excavation mileage and average noise decibel values ​​is used to process the noise decibel value data of the average noise decibel values ​​at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segment, obtain the average noise decibel value at each pile number segment time point, and generate a summary table of excavation mileage and average noise decibel values;

[0032] A unit for generating a comparison table between surrounding rock classification and average noise decibel value is used to establish a comparison table between surrounding rock classification and average noise decibel value based on prior knowledge and geological data records;

[0033] a unit for generating a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line, for generating a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line based on the summary table of tunneling mileage-average noise decibel value and the comparison table of surrounding rock classification and average noise decibel value; and

[0034] The classification unit is used to classify the tunnel surrounding rock according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line.

[0035] Furthermore, the deletion unit includes:

[0036] a determination unit for determining an average value of the noise decibel values ​​at the multiple locations at the same time point of the anomaly based on the geological data, the noise decibel values ​​obtained during the excavation process, the video images obtained, and TBM operating parameters; the TBM operating parameters including thrust, torque, rotation speed, and / or excavation speed during TBM excavation.

[0037] In a third aspect, an embodiment of the present invention provides a system for classifying surrounding rock of a tunnel constructed by a TBM, comprising:

[0038] The noise measurement system includes: a plurality of sound level meters, respectively disposed at a plurality of locations on the edge of the TBM shield near the cutterhead, to obtain noise decibel values ​​at the plurality of locations; and a data acquisition device, respectively connected to the plurality of sound level meters;

[0039] The rock slag video recording system includes: a camera for acquiring a video image of the starting position of the TBM belt conveyor; and a video memory for connecting to the camera;

[0040] TBM host; and

[0041] The controller is used to connect to the noise measurement system, the rock slag video recording system and the TBM host respectively; and is used to implement the TBM construction tunnel surrounding rock classification method.

[0042] Furthermore, the camera is a high-definition camera.

[0043] Compared with the prior art, the embodiments of the present invention have the following advantages and beneficial effects:

[0044] The embodiment of the present invention provides a method and system for classifying surrounding rock of a tunnel under TBM construction. The method comprises the following steps: obtaining noise decibel values ​​at multiple positions of the TBM shield near the edge of the cutter head during tunneling and obtaining a video image of the starting position of the TBM belt conveyor; controlling the TBM host during tunneling, obtaining the noise decibel values ​​and obtaining the video image to synchronously collect data at the same time interval and record geological data during tunneling; calculating the average value of the noise decibel values ​​at the multiple positions at the same time point, and generating a summary table of surrounding rock classification parameters according to different time points; deleting the abnormal average value of the noise decibel values ​​at the multiple positions at the same time point in the summary table of surrounding rock classification parameters, and generating a new summary table of surrounding rock classification parameters; and according to the tunneling pile number. Noise decibel value data processing is performed on the average noise decibel values ​​at each time point in the new surrounding rock classification parameter summary table in sections to obtain the average noise decibel value at each pile number section time point and generate a summary table of excavation mileage-average noise decibel value; based on prior knowledge and geological data records, a surrounding rock classification and average noise decibel value comparison table is established; based on the excavation mileage-average noise decibel value summary table and the surrounding rock classification and average noise decibel value comparison table, a summary table of excavation mileage-average noise decibel value-surrounding rock classification line is generated; based on the said summary table of excavation mileage-average noise decibel value-surrounding rock classification line, the tunnel surrounding rock is classified, thereby solving the technical problem that the existing TBM construction tunnel surrounding rock classification method has no quantitative grading standard and thus has low accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without making any creative efforts.

[0046] Figure 1 This is a flow chart of the surrounding rock classification method for TBM tunnel construction.

[0047] Figure 2 This is a schematic diagram of the structure of a surrounding rock classification system for TBM-constructed tunnels.

[0048] Figure 3 This is a schematic diagram of the structure of another TBM construction tunnel surrounding rock classification system.

[0049] Figure 4 It is a two-dimensional line graph of excavation mileage-average noise decibel value-surrounding rock classification line.

[0050] Among them, 1-surrounding rock classification line (1), 2-surrounding rock classification line (2), 3-surrounding rock classification line (3), 4-surrounding rock classification line (4), 5-average noise decibel value. DETAILED DESCRIPTION

[0051] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with examples and drawings. The exemplary embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention.

[0052] In the following description, numerous specific details are set forth to provide a thorough understanding of the present invention. However, it will be apparent to one skilled in the art that these specific details are not necessarily required to practice the present invention. In other embodiments, well-known structures, circuits, materials, or methods are not described in detail to avoid obscuring the present invention.

[0053] Throughout this specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment of the present invention. Therefore, appearances of the phrases "one embodiment," "an embodiment," "an example," or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combinations and / or subcombinations. Furthermore, it will be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes only and are not necessarily drawn to scale. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0054] In the description of the present invention, the terms "front", "back", "left", "right", "up", "down", "vertical", "horizontal", "high", "low", "inside", "outside", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they should not be understood as limiting the scope of protection of the present invention.

[0055] Example

[0056] In order to solve the technical problem that the existing TBM construction tunnel surrounding rock classification method has not formed a quantitative classification standard and has low accuracy, the embodiment of the present invention provides a TBM construction tunnel surrounding rock classification method, referring to Figure 1 Shown, including:

[0057] S1. Obtaining noise decibel values ​​at multiple locations near the edge of the TBM shield near the cutterhead during excavation and obtaining a video image of the starting position of the TBM conveyor belt;

[0058] S2. Control the TBM host during excavation, obtain the noise decibel value and obtain the video image at the same time interval to synchronize data acquisition and record geological data during excavation;

[0059] S3. Calculate the average noise decibel value of the multiple locations at the same time point, and generate a summary table of surrounding rock classification parameters at different time points;

[0060] S4. Delete the average noise decibel values ​​of the multiple locations at the same time point in the abnormal surrounding rock classification parameter summary table to generate a new surrounding rock classification parameter summary table;

[0061] S5. Process the noise decibel value data according to the new surrounding rock classification parameter summary table at each time point in the tunneling pile number segment to obtain the average noise decibel value within each pile number segment time point and generate a tunneling mileage - average noise decibel value summary table;

[0062] S6. Based on prior knowledge and geological data records, establish a comparison table between surrounding rock classification and average noise decibel value;

[0063] S7. Generate a summary table of tunneling mileage-average noise decibel values-surrounding rock classification lines based on the summary table of tunneling mileage-average noise decibel values ​​and the comparison table of surrounding rock classification and average noise decibel values;

[0064] S8. Classify the tunnel surrounding rock according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line.

[0065] Therefore, the embodiment of the present invention obtains the noise decibel values ​​at multiple positions of the edge of the TBM shield close to the cutter head during excavation and obtains a video image of the starting position of the TBM belt conveyor; controls the TBM host during excavation, obtains the noise decibel values ​​and obtains the video image to synchronously collect data at the same time interval and record geological data during the excavation process; calculates the average value of the noise decibel values ​​at the multiple positions at the same time point, and generates a surrounding rock classification parameter summary table according to different time points; deletes the abnormal average value of the noise decibel values ​​at the multiple positions at the same time point in the surrounding rock classification parameter summary table, and generates a new surrounding rock classification parameter summary table; and classifies the new surrounding rock classification parameters according to the excavation pile number segment. The noise decibel value data is processed based on the average noise decibel value at each time point in the class parameter summary table to obtain the average noise decibel value at each pile number segment time point and generate a summary table of tunneling mileage-average noise decibel value; based on prior knowledge and geological data records, a comparison table of surrounding rock classification and average noise decibel value is established; based on the summary table of tunneling mileage-average noise decibel value and the comparison table of surrounding rock classification and average noise decibel value, a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line is generated; based on the summary table of tunneling mileage-average noise decibel value-surrounding rock classification line, the tunnel surrounding rock is classified according to the summary table of tunneling mileage-average noise decibel value-surrounding rock classification line, which solves the technical problem that the existing TBM construction tunnel surrounding rock classification method has no quantitative grading standard and thus has low accuracy.

[0066] Furthermore, the tunnel surrounding rock is classified according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line, including:

[0067] Draw a two-dimensional line graph of tunneling mileage-average noise decibel value-surrounding rock classification line based on the tunneling mileage-average noise decibel value-surrounding rock classification line summary table;

[0068] The tunnel surrounding rock is classified according to the two-dimensional broken line graph of excavation mileage-average noise decibel value-surrounding rock classification line.

[0069] Furthermore, the data collection includes noise decibel value data and video images; the geological data includes preliminary geological judgment data of rock slag conditions and noise decibel values ​​of tunnel sections divided by key surrounding rock categories.

[0070] Furthermore, the average value of the noise decibel values ​​at the multiple locations at the same time point of the abnormality in the surrounding rock classification parameter summary table is deleted to generate a new surrounding rock classification parameter summary table; including:

[0071] Determine an average value of the noise decibel values ​​at the multiple locations at the same time point of the anomaly based on the geological data, the noise decibel values ​​obtained during the excavation process, the video images obtained, and TBM operating parameters;

[0072] The TBM operating parameters include thrust, torque, rotation speed and / or tunneling speed during TBM excavation.

[0073] Furthermore, the method controls the TBM host during excavation, obtains the noise decibel value, and obtains the video image to synchronously collect data at the same time interval and record geological data during the excavation process; including:

[0074] Synchronize the TBM host, obtain the noise decibel value, and obtain the time of the video image.

[0075] Furthermore, noise decibel value data processing is performed on the average noise decibel value at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segment, including:

[0076] The average noise decibel value is obtained by summing up the average noise decibel values ​​at the time points corresponding to the pile number segments and then calculating the average value.

[0077] For example, the specific operating steps of the TBM tunnel construction surrounding rock classification method of the present invention are as follows:

[0078] 1. Three sound level meters were installed on the inner wall of the TBM shield near the cutterhead edge, located on the left, right, and top sides. These were connected to a data acquisition system to form a noise measurement system. A high-definition camera was aimed at the starting point of the conveyor belt and connected to a video storage device to form a rock slag video recording system. The sound level meters were used to measure noise decibels.

[0079] 2. Connect the noise measurement system and rock slag video recording system to the TBM host power circuit respectively; set the time of the noise measurement system and rock slag video recording system to be consistent with the TBM host system time.

[0080] 3. Set the data collection interval. When the TBM engine is in operation, the sound level meter, data acquisition instrument, high-definition camera, and video storage device simultaneously collect data and record video. Geological data is also recorded, focusing on the initial geological assessment of the rock debris and the noise decibel levels of tunnel sections classified by key surrounding rock types. This allows for the subsequent establishment of a relationship between surrounding rock classification and noise decibel levels.

[0081] 4. After tunneling a certain distance, data from the noise measurement system, the TBM host system (time and distance traveled, thrust, torque, rotational speed, excavation speed, and other parameters), and the rock slag video recording system are imported into a computer. Data processing and analysis are performed using a data processing program (such as Excel).

[0082] 4.1 Data collation of the noise measurement system: Calculate the average noise decibel value measured by the three sound level meters at the same time point, and then generate a summary table of surrounding rock classification parameters by time point, see Table 1.

[0083] Table 1 Summary of surrounding rock classification parameters

[0084]

[0085] 4.2 Generate a two-dimensional line chart of tunneling distance and parameters. Based on on-site geological data records, rock slag video recordings, thrust, torque, rotational speed, tunneling speed, and other parameters, comprehensively evaluate the noise decibel values ​​(average values) at each time point / tunneling distance, and eliminate abnormal noise decibel values ​​(average values). Generate a summary table (verification) of surrounding rock classification parameters (see Table 2).

[0086] Table 2 Summary of surrounding rock classification parameters (verification)

[0087]

[0088]

[0089] 4.3 Based on the level of surrounding rock mass classification, noise decibel data was processed by pile number segmentation (e.g., 10 cm as one segment). The specific data processing measures were: The noise decibel values ​​(average values) at the time points corresponding to the pile number segmentation were summed and then averaged to obtain the average noise decibel value. A summary table of average noise decibel values ​​by pile number segmentation was generated, as shown in Table 3.

[0090] Table 3 Summary of tunneling mileage and average noise decibel values

[0091] Drive distance (m) Average noise decibel value 0 0.1 85.1 0.2 79.3 0.3 76.2 0.4 70.3 0.5 73.2 0.6 79.2 0.7 83.4

[0092] 4.4 Based on the test section experience and geological data records, a comparison table of surrounding rock classification and average noise decibel value is established, see Table 4.

[0093] Table 4 Comparison table of surrounding rock classification and average noise decibel value

[0094] Surrounding rock classification Average noise decibel value (x) Surrounding rock stability Ⅰ x＞100 Very good Ⅱ 90＜x≤100 Good Ⅲ 80＜x≤90 Fair Ⅳ 70＜x≤80 Poor Ⅴ x＜70 Very poor

[0095] 4.5 Establish a summary table of excavation mileage, average noise decibel value, and surrounding rock classification line, see Table 5.

[0096] Table 5 Summary of tunneling mileage, average noise decibel value, and surrounding rock classification line

[0097]

[0098]

[0099] 4.6 Based on the summary table of tunneling mileage, average noise decibel value and surrounding rock classification line, draw a two-dimensional line graph of tunneling mileage-average noise decibel value-surrounding rock classification line, see Figure 4 .in, Figure 4The broken lines in the figure are surrounding rock classification line (1) 1, surrounding rock classification line (2) 2, surrounding rock classification line (3) 3, surrounding rock classification line (4) 4 and average noise decibel value 5.

[0100] 4.7 Manual corrections are made to special excavation faults (machine jamming, sudden mud and water gushing), and further improvements are made based on geological data records and experience.

[0101] 5. According to the above method and steps, complete the classification of tunnel surrounding rock.

[0102] In the second aspect, the embodiment of the present invention provides a TBM construction tunnel surrounding rock classification system, referring to Figure 2 Shown, including:

[0103] An acquisition unit, used to acquire noise decibel values ​​at multiple locations of the TBM shield near the edge of the cutterhead during excavation and to acquire a video image of the starting position of the TBM belt conveyor;

[0104] A control unit is used to control the TBM host during excavation, obtain the noise decibel value and obtain the video image at the same time interval to synchronously perform data acquisition and record geological data during the excavation process;

[0105] A surrounding rock classification parameter summary table generating unit is used to calculate the average value of the noise decibel values ​​of the multiple locations at the same time point, and generate a surrounding rock classification parameter summary table according to different time points;

[0106] a deletion unit, configured to delete the average value of the noise decibel values ​​of the plurality of locations at the same abnormal time point in the surrounding rock classification parameter summary table, and generate a new surrounding rock classification parameter summary table;

[0107] A unit for generating a summary table of excavation mileage and average noise decibel values ​​is used to process the noise decibel value data of the average noise decibel values ​​at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segment, obtain the average noise decibel value at each pile number segment time point, and generate a summary table of excavation mileage and average noise decibel values;

[0108] A unit for generating a comparison table between surrounding rock classification and average noise decibel value is used to establish a comparison table between surrounding rock classification and average noise decibel value based on prior knowledge and geological data records;

[0109] a unit for generating a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line, for generating a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line based on the summary table of tunneling mileage-average noise decibel value and the comparison table of surrounding rock classification and average noise decibel value; and

[0110] The classification unit is used to classify the tunnel surrounding rock according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line.

[0111] Furthermore, the deletion unit includes:

[0112] a determination unit for determining an average value of the noise decibel values ​​at the multiple locations at the same time point of the anomaly based on the geological data, the noise decibel values ​​obtained during the excavation process, the video images obtained, and TBM operating parameters; the TBM operating parameters including thrust, torque, rotation speed, and / or excavation speed during TBM excavation.

[0113] In a third aspect, an embodiment of the present invention provides a TBM construction tunnel surrounding rock classification system, referring to Figure 3 Shown, including:

[0114] The noise measurement system includes: a plurality of sound level meters, respectively disposed at a plurality of locations on the edge of the TBM shield near the cutterhead, to obtain noise decibel values ​​at the plurality of locations; and a data acquisition device, respectively connected to the plurality of sound level meters;

[0115] The rock slag video recording system includes: a camera for acquiring a video image of the starting position of the TBM belt conveyor; and a video memory for connecting to the camera;

[0116] TBM host; and

[0117] The controller is used to connect to the noise measurement system, the rock slag video recording system and the TBM host respectively; and is used to implement the TBM construction tunnel surrounding rock classification method.

[0118] Furthermore, the camera is a high-definition camera.

[0119] Thus, the embodiments of the present invention measure the decibel level of noise generated by the cutterhead during TBM excavation. The data obtained is quantitative and can intuitively reflect the surrounding rock strength. High decibel levels indicate high rock strength, while low decibel levels indicate low rock strength. The noise decibel levels are then combined with relevant parameters to generate corresponding tables and graphs. This allows accurate use of noise decibel levels for surrounding rock classification, which can then be refined based on the experience of geologists, significantly improving the efficiency and accuracy of geological work.

[0120] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method 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 in the scope of protection of the present invention.

Claims

1. A method for classifying surrounding rock of a TBM-constructed tunnel, characterized in that: include: Obtain noise decibel values ​​at multiple locations near the edge of the TBM's shield near the cutterhead during excavation, and obtain video images of the starting position of the TBM's conveyor belt; Controlling the TBM host during excavation, obtaining the noise decibel value, and obtaining the video image to synchronously collect data at the same time interval and record geological data during the excavation process; Calculating the average of the noise decibel values ​​at the multiple locations at the same time point, and generating a summary table of surrounding rock classification parameters according to different time points; Deleting the average value of the noise decibel values ​​of the multiple locations at the same time point that are abnormal in the surrounding rock classification parameter summary table, and generating a new surrounding rock classification parameter summary table; The noise decibel value data is processed based on the average noise decibel value at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segmentation, and the average noise decibel value at each pile number segmentation time point is obtained and a summary table of excavation mileage-average noise decibel value is generated; Based on prior knowledge and geological data records, a comparison table between surrounding rock classification and average noise decibel value is established; Based on the summary table of tunneling mileage-average noise decibel value and the comparison table of surrounding rock classification and average noise decibel value, a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line is generated; The tunnel surrounding rock is classified according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line.

2. The surrounding rock classification method for TBM tunnel construction according to claim 1, characterized in that: The tunnel surrounding rock is classified according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line, including: Draw a two-dimensional line graph of tunneling mileage-average noise decibel value-surrounding rock classification line based on the tunneling mileage-average noise decibel value-surrounding rock classification line summary table; The tunnel surrounding rock is classified according to the two-dimensional broken line graph of excavation mileage-average noise decibel value-surrounding rock classification line.

3. The surrounding rock classification method for TBM tunnel construction according to claim 1, characterized in that: The data collection includes noise decibel value data and video images; the geological data includes preliminary geological judgment data on rock slag conditions and noise decibel values ​​of tunnel sections divided by key surrounding rock categories.

4. The surrounding rock classification method for TBM tunnel construction according to claim 1, characterized in that: Deleting the average value of the noise decibel values ​​of the multiple locations at the same time point of the abnormality in the surrounding rock classification parameter summary table to generate a new surrounding rock classification parameter summary table; including: Determine an average value of the noise decibel values ​​at the multiple locations at the same time point of the anomaly based on the geological data, the noise decibel values ​​obtained during the excavation process, the video images obtained, and TBM operating parameters; The TBM operating parameters include thrust, torque, rotation speed and / or tunneling speed during TBM excavation.

5. The method for classifying surrounding rock of a TBM-constructed tunnel according to claim 1, wherein: Controlling the TBM host during excavation, obtaining the noise decibel value, and obtaining the video image to synchronously collect data at the same time interval and record geological data during the excavation process; including: Synchronize the TBM host, obtain the noise decibel value, and obtain the time of the video image.

6. The method for classifying surrounding rock of a TBM-constructed tunnel according to claim 1, wherein: The noise decibel value data processing is performed based on the average noise decibel value at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segment, including: The average noise decibel value is obtained by summing up the average noise decibel values ​​at the time points corresponding to the pile number segments and then calculating the average value.

7. A TBM tunnel surrounding rock classification system, characterized by: include: An acquisition unit, used to acquire noise decibel values ​​at multiple locations of the TBM shield near the edge of the cutterhead during excavation and to acquire a video image of the starting position of the TBM belt conveyor; A control unit is used to control the TBM host during excavation, obtain the noise decibel value and obtain the video image at the same time interval to synchronously perform data acquisition and record geological data during the excavation process; A surrounding rock classification parameter summary table generating unit is used to calculate the average value of the noise decibel values ​​of the multiple locations at the same time point, and generate a surrounding rock classification parameter summary table according to different time points; a deletion unit, configured to delete the average value of the noise decibel values ​​of the plurality of locations at the same abnormal time point in the surrounding rock classification parameter summary table, and generate a new surrounding rock classification parameter summary table; A unit for generating a summary table of excavation mileage and average noise decibel values ​​is used to process the noise decibel value data of the average noise decibel values ​​at each time point in the new surrounding rock classification parameter summary table according to the excavation pile number segment, obtain the average noise decibel value at each pile number segment time point, and generate a summary table of excavation mileage and average noise decibel values; A unit for generating a comparison table between surrounding rock classification and average noise decibel value is used to establish a comparison table between surrounding rock classification and average noise decibel value based on prior knowledge and geological data records; a unit for generating a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line, for generating a summary table of tunneling mileage-average noise decibel value-surrounding rock classification line based on the summary table of tunneling mileage-average noise decibel value and the comparison table of surrounding rock classification and average noise decibel value; and The classification unit is used to classify the tunnel surrounding rock according to the summary table of excavation mileage-average noise decibel value-surrounding rock classification line.

8. The surrounding rock classification system for TBM tunnel construction according to claim 7, characterized in that: The deletion unit includes: a determination unit for determining an average value of the noise decibel values ​​at the multiple locations at the same time point of the anomaly based on the geological data, the noise decibel values ​​obtained during the excavation process, the video images obtained, and TBM operating parameters; the TBM operating parameters including thrust, torque, rotation speed, and / or excavation speed during TBM excavation.

9. A TBM tunnel surrounding rock classification system, characterized by: include: The noise measurement system includes: a plurality of sound level meters, respectively disposed at a plurality of locations on the edge of the TBM shield near the cutterhead, to obtain noise decibel values ​​at the plurality of locations; and a data acquisition device, respectively connected to the plurality of sound level meters; The rock slag video recording system includes: a camera for acquiring a video image of the starting position of the TBM belt conveyor; and a video memory for connecting to the camera; TBM host; and A controller is used to connect to the noise measurement system, the slag video recording system and the TBM host respectively; and is used to implement the TBM construction tunnel surrounding rock classification method according to any one of claims 1 to 6.

10. The TBM tunnel surrounding rock classification system according to claim 9, characterized in that: The camera is a high-definition camera.

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