Tunnel complete surrounding rock section identification method and system based on drilling parameters

Abstract

The present invention relates to the technical field of surrounding rock integrity identification, and specifically discloses a method and system for identifying complete surrounding rock sections of a tunnel based on drilling parameters, the method comprising: conducting an advance drilling experiment on the tunnel engineering site and collecting drilling parameters; determining the threshold of the change of drilling parameters of the complete surrounding rock section, continuously collecting drilling parameter data at a set time interval, and judging whether the change between two adjacent drilling parameter data is less than the minimum threshold, if so, recording the drilling section between the two adjacent drilling parameter data as the initial complete surrounding rock section, otherwise, as an incomplete surrounding rock section; calculating the mean of the drilling parameters of each initial complete surrounding rock section, clustering with the mean as a feature, and selecting the cluster with the lowest mean as the final complete surrounding rock section. The method of the present invention achieves a breakthrough from qualitative analysis to quantitative analysis, and can identify more accurate complete surrounding rock sections.

Description

Technical Field

[0001] The present invention relates to the technical field of surrounding rock integrity identification, and in particular to a method and system for identifying complete surrounding rock sections of a tunnel based on drilling parameters. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] In the field of tunnel construction, natural rock masses often contain a large number of joints and fissures due to geological tectonic effects, weathering, erosion, etc., which can easily reduce the strength and stability of the rock mass, causing engineering disasters such as rock bursts, landslides, and sudden water and mud. How to quickly and accurately obtain the integrity of the rock mass is an effective guarantee for safe and efficient construction of geotechnical engineering. If the intact surrounding rock sections of the unexcavated rock mass ahead can be identified in advance, the construction methods and support measures can be adjusted in advance, efficient excavation technology can be used in the intact surrounding rock sections, and necessary reinforcement can be carried out in the broken surrounding rock sections, thereby optimizing the construction plan, avoiding unnecessary support and reinforcement work, reducing construction costs, and speeding up construction efficiency.

[0004] Existing technologies mostly use geophysical exploration, coring and other methods to qualitatively identify the integrity of the surrounding rock, but such technologies are often time-consuming, labor-intensive, and complex, affecting the progress of on-site construction. Studies have found that there is a good correlation between drilling parameters and rock mass integrity. A large number of scholars have also conducted correlation analysis between drilling parameters and rock mass integrity, and proposed corresponding prediction models and solutions, but such solutions often require a large amount of sample data and focus more on the crushing of the surrounding rock, which has limitations for quickly judging the integrity of the surrounding rock section on site. Summary of the invention

[0005] In order to solve the above problems, the present invention proposes a method and system for identifying complete surrounding rock sections of a tunnel based on while-drilling parameters. The fluctuation degree of the while-drilling parameters is different when drilling an incomplete (i.e., broken) surrounding rock section and drilling a complete surrounding rock section. By selecting an appropriate while-drilling parameter fluctuation threshold, the changes in the while-drilling parameters during the drilling process can be used to quickly and efficiently realize the identification of complete surrounding rock sections of the unexcavated rock mass ahead.

[0006] In some embodiments, the following technical solutions are adopted:

[0007] A method for identifying complete surrounding rock sections of a tunnel based on drilling parameters, comprising:

[0008] Conduct advanced drilling experiments on tunnel engineering sites to collect drilling parameters and borehole imaging information;

[0009] According to the actual accuracy requirements of the project, a threshold range of the change of the drilling parameters of the complete surrounding rock section is set, and multiple different thresholds are set from small to large within the threshold range; the drilling parameter data are continuously collected at the set time interval, starting from the minimum threshold, and it is judged whether the change between two adjacent drilling parameter data is less than the minimum threshold. If so, the drilling section between the two adjacent drilling parameter data is recorded as the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section;

[0010] If an initial complete surrounding rock section is extracted, the mean values ​​of the drilling parameters of all the initial complete surrounding rock sections screened out under the minimum threshold condition are calculated, clustering is performed based on the mean value, and the cluster with the lowest mean value is selected as the final complete surrounding rock section under the minimum threshold condition;

[0011] The threshold is increased successively, and the final complete surrounding rock section corresponding to each threshold condition is calculated respectively;

[0012] Compare the final complete surrounding rock section corresponding to each threshold with the surrounding rock integrity in the borehole imaging, calculate the extraction accuracy corresponding to each threshold, and determine the optimal threshold;

[0013] Using the optimal threshold and the acquired while-drilling parameters, the intact surrounding rock sections of the unexcavated sections are identified.

[0014] The drilling parameters are drilling response parameters such as drilling speed or torque, and during the acquisition of drilling response parameters, drilling operation parameters such as drilling pressure and rotation speed controlled by the operator must remain stable.

[0015] As a further solution, the extraction process of the initial complete surrounding rock section is as follows:

[0016] Assumptions ( x i , y i ) is the drilling parameter data at the current moment, where x i Indicates the drilling depth. y i Indicates the drilling parameter value; ( x i+1 , y i+1 ) is the drilling parameter data at the next moment, ( x i+2 , y i+2 ) is the drilling parameter data at the next moment, and so on;

[0017] like y i+1 and y iIf the change between is less than the minimum threshold, then record x i and x i+1 The drilling interval between is the initial complete surrounding rock section, otherwise, record x i and x i+1 The drilling interval between is an incomplete surrounding rock section; similarly, if y i+2 and y i+1 If the change between is less than the minimum threshold, then record x i+1 and x i+2 The drilling interval between is the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section;

[0018] The above method is used to judge each while-drilling parameter data and extract all the initial complete surrounding rock sections.

[0019] In addition, if two or more adjacent surrounding rock sections are all initial complete surrounding rock sections, they can be merged into one initial complete surrounding rock section.

[0020] As a further solution, the mean is used as a feature and a clustering algorithm is used to cluster the features, so as to obtain clusters of truly complete surrounding rock sections and clusters of misjudged broken surrounding rock sections; the cluster with the lowest mean is selected as the final complete surrounding rock section.

[0021] As a further solution, the extraction accuracy corresponding to each threshold is calculated as follows:

[0022] ;

[0023] Among them, p is the accuracy of complete surrounding rock segment extraction, n is the length of the final complete surrounding rock segment extracted under a certain threshold condition that matches the real complete surrounding rock segment reflected by the borehole imaging image, and m is the real complete surrounding rock segment length reflected by the borehole imaging image.

[0024] The threshold with the highest extraction accuracy is selected as the optimal threshold.

[0025] When the lithology has not changed, the optimal threshold and the acquired while-drilling parameters are used to identify the intact surrounding rock sections of the unexcavated section.

[0026] In other embodiments, the following technical solutions are adopted:

[0027] A tunnel complete surrounding rock section identification system based on drilling parameters, comprising:

[0028] Data acquisition module, used to conduct advanced drilling experiments on the tunnel engineering site and collect drilling parameters and borehole imaging information;

[0029] The complete surrounding rock section initial screening module is used to set the threshold range of the drilling parameter change of the complete surrounding rock section according to the actual accuracy requirements of the project, and set multiple different thresholds from small to large within the threshold range; continuously collect drilling parameter data at the set time interval, starting from the minimum threshold, and judge whether the change between two adjacent drilling parameter data is less than the minimum threshold. If so, record the drilling section between the two adjacent drilling parameter data as the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section;

[0030] A complete surrounding rock section determination module is used to calculate the mean values ​​of the drilling parameters of all the initial complete surrounding rock sections screened out under the minimum threshold condition when the initial complete surrounding rock section is extracted, perform clustering based on the mean value as a feature, and select the cluster with the lowest mean value as the final complete surrounding rock section;

[0031] The optimal threshold determination module is used to increase the threshold in sequence and calculate the final complete surrounding rock section corresponding to each threshold condition; compare the final complete surrounding rock section corresponding to each threshold with the surrounding rock integrity in the borehole imaging, calculate the extraction accuracy corresponding to each threshold, and determine the optimal threshold;

[0032] The complete surrounding rock section identification module is used to identify the complete surrounding rock sections of the unexcavated section using the optimal threshold and the acquired drilling parameters.

[0033] In other embodiments, the following technical solutions are adopted:

[0034] A terminal device comprises a processor and a memory, wherein the processor is used to implement instructions; and the memory is used to store a plurality of instructions, wherein the instructions are suitable for being loaded by the processor and executing the above-mentioned method for identifying complete surrounding rock sections of a tunnel based on drilling parameters.

[0035] In other embodiments, the following technical solutions are adopted:

[0036] A computer-readable storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor of a terminal device and executing the above-mentioned method for identifying complete surrounding rock sections of a tunnel based on drilling parameters.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] (1) The present invention compares the variation of drilling parameters with the set threshold value to identify the complete surrounding rock section, so that the construction method and support measures can be adjusted in advance, high-efficiency technology can be used in the complete surrounding rock section, and necessary reinforcement can be carried out in the broken surrounding rock section, thereby optimizing the construction plan, avoiding unnecessary support and reinforcement work, reducing construction costs, and improving construction efficiency. Compared with traditional geophysical exploration and coring methods, the method of the present invention has achieved a breakthrough from qualitative analysis to quantitative analysis, and can identify more accurate complete surrounding rock sections.

[0039] (2) The present invention pre-sets a plurality of different thresholds according to the engineering accuracy requirements, and performs surrounding rock integrity identification for each threshold. Finally, the accuracy is calculated based on the surrounding rock integrity in the borehole imaging to obtain the optimal threshold for identifying surrounding rock integrity, thereby obtaining a more accurate and complete surrounding rock that meets the engineering accuracy requirements.

[0040] (3) The method of the present invention is applicable to various underground engineering construction scenarios, such as tunnel excavation and underground mining, and has broad application prospects.

[0041] Other features and advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flow chart of a method for identifying complete surrounding rock sections of a tunnel based on drilling parameters in an embodiment of the present invention;

[0043] Figure 2 It is a schematic diagram of the initial complete surrounding rock section selected in the embodiment of the present invention;

[0044] Figure 3 It is a schematic diagram of the final complete surrounding rock section determined in the embodiment of the present invention. DETAILED DESCRIPTION

[0045] It should be noted that the following detailed descriptions are illustrative and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0046] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0047] It should be noted that the complete surrounding rock in this embodiment does not mean complete in a strict sense, but is determined according to the actual engineering precision requirements. Different precision requirements have different requirements for complete surrounding rock. For example, for projects with low precision requirements, the final complete surrounding rock section may also include surrounding rock with a low degree of crushing, but because the precision requirements are not high, it is also regarded as complete surrounding rock.

[0048] Embodiment 1

[0049] In one or more embodiments, a method for identifying complete surrounding rock sections of a tunnel based on drilling parameters is disclosed, combined with Figure 1 , specifically including the following process:

[0050] Step (1): Conduct advance drilling experiments at the tunnel engineering site to collect drilling parameters and borehole imaging information.

[0051] Specifically, an on-site drilling test is carried out, and the required drilling parameters are read from the drilling rig's drilling parameter log file, including four parameters: drilling pressure, rotation speed, drilling speed and torque. Normally, drilling pressure and rotation speed are independent parameters controlled by the drill rig operator, and will not change significantly with the integrity or fragmentation of the surrounding rock. Drilling speed and torque are response parameters when drilling in different surrounding rocks. The fluctuation range is quite different when facing intact surrounding rock sections and fragmented surrounding rock sections. Therefore, drilling speed or torque is selected as the drilling parameter for filtering and extracting intact surrounding rock sections. In the process of obtaining drilling response parameters, the drilling operation parameters of drilling pressure and rotation speed controlled by the operator must remain stable.

[0052] This embodiment is explained by taking the drilling speed as an example. The borehole imaging information is to use a high-definition multifunctional borehole imaging analyzer to perform imaging monitoring on the borehole and collect the hole wall image data of the entire borehole.

[0053] Step (2): according to the actual accuracy requirements of the project, a threshold range of the change of drilling parameters of the complete surrounding rock section is set, and multiple different thresholds are set from small to large within the threshold range;

[0054] The drilling parameter data are continuously collected at the set time interval, starting from the minimum threshold, and it is judged whether the change between two adjacent drilling parameter data is less than the minimum threshold. If so, the drilling section between the two adjacent drilling parameter data is recorded as the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section; if the initial complete surrounding rock section can be extracted, it is considered that these discrete sections are the initial complete surrounding rock sections extracted under the minimum threshold condition; the mean of the drilling parameters of all the initial complete surrounding rock sections screened out under the minimum threshold condition is calculated, clustering is performed with the mean as the feature, and the cluster with the lowest mean is selected as the final complete surrounding rock section.

[0055] Step (3): Increase the threshold value in sequence and calculate the final complete surrounding rock section corresponding to each threshold condition.

[0056] Step (4): Compare the final complete surrounding rock section corresponding to each threshold with the surrounding rock integrity in the borehole imaging, calculate the extraction accuracy corresponding to each threshold, and determine the optimal threshold.

[0057] Step (5): When the lithology has not changed, the optimal threshold and the acquired drilling parameters are used to identify the complete surrounding rock section of the unexcavated section.

[0058] As a specific implementation method, in step (1) of this embodiment, an on-site drilling test is carried out, and the required drilling parameters are read from the drilling rig drilling parameter log file. The drilling parameters often include four parameters: drilling pressure, rotation speed, drilling speed and torque. Under normal circumstances, drilling pressure and rotation speed are independent parameters controlled by the driller, and will not change significantly with the integrity or fragmentation of the surrounding rock. The drilling speed and torque are response parameters when drilling into different surrounding rocks. When facing a complete surrounding rock section and a fragmented surrounding rock section, the fluctuation range is quite different. Therefore, the drilling speed or torque is selected as the drilling parameter for filtering and extracting the complete surrounding rock section.

[0059] This embodiment is described by taking drilling speed as an example. Figure 2 or Figure 3 The comparison of the drilling speed curve showing the variation of drilling speed with drilling depth and the corresponding drilling TV image is shown in FIG.

[0060] The borehole imaging information is obtained by using a high-definition multifunctional borehole imaging analyzer to monitor the borehole and collect the borehole wall image data of the entire borehole.

[0061] In step (2) to step (4) of this embodiment, the optimal threshold of the change of drilling parameters of the complete surrounding rock section is determined, and the specific process is as follows:

[0062] (2-1) According to the accuracy requirements of engineering construction and the fluctuation of the acquired drilling parameters, a reasonable threshold range is selected and evenly divided into β1, β2, β3, ···, βn.

[0063] (2-2) For a certain section of the tunnel project, the drilling parameter information and the borehole imaging information are obtained respectively; in this embodiment, the drilling parameter information is the drilling speed information, and the borehole imaging information is the imaging monitoring of the borehole using a high-definition multifunctional borehole imaging analyzer to collect the borehole wall image data of the entire borehole.

[0064] The drilling speed curve is formed by smoothly connecting data points at different times, including ( x 1, y 1) ( x 2, y 2) ( x3, y 3) … x i , y i )、…、( x n , y n ).in, x i Indicates the drilling depth (or drilling displacement) at the current moment, y i Indicates the drilling speed corresponding to the current moment. Figure 2 or Figure 3 The drilling speed curve shown in the figure has a drilling depth of 13m-14m. A total of 339 data points were collected, which are ( x 1, y 1) ( x 2, y 2) ( x 3, y 3)… x n , y n ).in,( x 1, y 1) is (13.0, 38.05), ( x 2, y 2) is (13.012, 38.15).

[0065] (2-3) Taking drilling speed as a drilling parameter, complete surrounding rock sections are filtered and extracted. The minimum threshold β1 is selected to filter and extract complete surrounding rock sections, that is, ( x 1, y 1) is the starting point, and the next point is calculated ( x 2, y 2) The change between y2 and y1.

[0066] If the change between y2 and y1 does not exceed the threshold β1, the initial complete surrounding rock segment extraction is performed, that is, the displacement between the two points is calculated. x 2- x 1, and record this distance as the initial complete surrounding rock section, and continue to calculate ( x 2, y 2) with the next point ( x 3, y 3) The change in the ordinate. If the change between y3 and y2 still does not exceed the threshold β1, the displacement between the two points is calculated. x 3- x 2. Also record this distance as the initial complete surrounding rock section; x3- x 2 and the previous calculated displacement x 2- x 1Merge and record directly x 3- x 1 is the initial complete surrounding rock segment; if the change between y3 and y2 exceeds the threshold β1, it is considered x 3- x 2 This distance is an incomplete surrounding rock section, and the initial complete surrounding rock section is not extracted; point ( x 3, y 3) Continue with the next point for the initial point ( x 4, y 4) Perform calculations.

[0067] If the change between y2 and y1 is higher than the threshold β1, it is considered that ( x 2- x 1) The distance between them is an incomplete surrounding rock section, and the initial complete surrounding rock section is not extracted; the next point ( x 2, y 2) is the initial point, and continues with the next point ( x 3, y 3) Perform calculations.

[0068] Subsequent points are calculated by analogy with this rule. After the calculation is completed, the result is a preliminary scattered segment that can characterize the integrity of the entire surrounding rock. Figure 2 The dotted boxes in the figure are the extracted initial complete surrounding rock sections, which are 13.1m-13.2m, 13.3m-13.42m, 13.48m-13.57m and 13.65m-14.0m respectively. Combined with the corresponding borehole TV images, it can be seen that there are still broken surrounding rock sections with similar degree of fragmentation, such as 13.1m-13.2m, 13.3m-13.42m and 13.48m-13.57m, which are mistakenly judged as complete surrounding rock sections.

[0069] Therefore, the initial complete surrounding rock sections preliminarily screened out include real complete surrounding rock sections and broken surrounding rock sections with similar degree of fragmentation that are misjudged as complete surrounding rock sections, but the average drilling speed of the complete surrounding rock sections is significantly lower than the average drilling speed of the broken surrounding rock sections. Therefore, cluster analysis is used for further screening to obtain the final complete surrounding rock sections. In this embodiment, the means of different complete surrounding rock sections are calculated respectively, and the mean of each complete surrounding rock section is used as a feature to form a data set for the cluster analysis algorithm. The K-means clustering algorithm is used to divide the initially screened complete surrounding rock sections into two categories, namely, real complete surrounding rock sections and misjudged broken surrounding rock sections.

[0070] According to the clustering results, the segment with the lowest mean is selected as the final complete surrounding rock segment, and the misjudged broken surrounding rock segment with a higher mean is excluded; Figure 3 As shown in the figure, the misjudged sections with higher average values ​​of 13.1m-13.2m, 13.3m-13.42m and 13.48m-13.57m were eliminated, and the section 13.65m-14.0m in the dotted box was selected as the final complete surrounding rock section. Combined with the corresponding borehole TV map, it can be seen that the complete surrounding rock section of the tunnel after eliminating the misjudged section is consistent with the actual complete surrounding rock section, which can better reflect the actual situation.

[0071] (2-4) The threshold is increased successively to perform preliminary extraction of the complete surrounding rock sections of the tunnel, and cluster analysis is performed to obtain the final complete surrounding rock sections, and finally multiple groups of complete surrounding rock sections under different threshold conditions are obtained.

[0072] (2-5) The extracted multiple groups of complete surrounding rock sections under different threshold conditions are compared and verified with the borehole imaging images to determine the optimal threshold. The technical solution is to calculate the extraction accuracy of the complete surrounding rock sections under different threshold conditions in turn. The specific calculation formula is as follows:

[0073] ;

[0074] Among them, p is the accuracy of complete surrounding rock segment extraction, n is the length of the complete surrounding rock segment extracted under different threshold conditions that matches the real complete surrounding rock segment reflected by the borehole imaging image, and m is the real complete surrounding rock segment length reflected by the borehole imaging image.

[0075] The extraction accuracy of complete surrounding rock sections under different threshold conditions was compared, and the threshold corresponding to the maximum extraction accuracy was selected as the optimal threshold.

[0076] In step (5) of this embodiment, when the lithology has not changed, the next section of the tunnel is identified based on the complete surrounding rock section of the tunnel based on the drilling parameters according to the optimal threshold and the collected drilling parameters.

[0077] The complete surrounding rock section identification method of the tunnel based on the drilling parameters in this embodiment can accurately and quickly identify the integrity of the surrounding rock. Compared with the traditional geophysical exploration and coring methods, it has achieved a breakthrough from qualitative analysis to quantitative analysis, and the identification results are more accurate.

[0078] Embodiment 2

[0079] In one or more embodiments, a system for identifying complete surrounding rock sections of a tunnel based on drilling parameters is disclosed, comprising:

[0080] Data acquisition module, used to conduct advanced drilling experiments on the tunnel engineering site and collect drilling parameters and borehole imaging information;

[0081] The complete surrounding rock section initial screening module is used to set the threshold range of the drilling parameter change of the complete surrounding rock section according to the actual accuracy requirements of the project, and set multiple different thresholds from small to large within the threshold range; continuously collect drilling parameter data at the set time interval, starting from the minimum threshold, and judge whether the change between two adjacent drilling parameter data is less than the threshold. If so, record the drilling section between the two adjacent drilling parameter data as the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section;

[0082] A complete surrounding rock section determination module is used to calculate the mean values ​​of the drilling parameters of all the initial complete surrounding rock sections screened out under the minimum threshold condition when the initial complete surrounding rock section is extracted, perform clustering based on the mean value as a feature, and select the cluster with the lowest mean value as the final complete surrounding rock section;

[0083] The optimal threshold determination module is used to increase the threshold in sequence and calculate the final complete surrounding rock section corresponding to each threshold condition; compare the final complete surrounding rock section corresponding to each threshold with the surrounding rock integrity in the borehole imaging, calculate the extraction accuracy corresponding to each threshold, and determine the optimal threshold;

[0084] The complete surrounding rock section identification module is used to identify the complete surrounding rock sections of the unexcavated section using the optimal threshold and the acquired drilling parameters.

[0085] The specific implementation of the above modules is the same as that in Example 1 and will not be described in detail.

[0086] Embodiment 3

[0087] In one or more embodiments, a terminal device is disclosed, including a server, the server including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method for identifying complete surrounding rock sections of a tunnel based on drilling parameters in Example 1 when executing the program. For the sake of brevity, it will not be described in detail here.

[0088] It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general-purpose processors, digital signal processors DSP, application-specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0089] The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory. For example, the memory may also store information about the device type.

[0090] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software.

[0091] Embodiment 4

[0092] In one or more embodiments, a computer-readable storage medium is disclosed, in which a plurality of instructions are stored, wherein the instructions are suitable for being loaded by a processor of a terminal device and executing the method for identifying complete surrounding rock sections of a tunnel based on drilling parameters described in Example 1.

[0093] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A method for identifying complete surrounding rock sections of a tunnel based on drilling parameters, characterized in that: include: Conduct advanced drilling experiments on tunnel engineering sites to collect drilling parameters and borehole imaging information; According to the actual accuracy requirements of the project, a threshold range of the change of the drilling parameters of the complete surrounding rock section is set, and multiple different thresholds are set from small to large within the threshold range; the drilling parameter data are continuously collected at the set time interval, starting from the minimum threshold, and it is judged whether the change between two adjacent drilling parameter data is less than the minimum threshold. If so, the drilling section between the two adjacent drilling parameter data is recorded as the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section; If an initial complete surrounding rock section is extracted, the mean values ​​of the drilling parameters of all the initial complete surrounding rock sections screened out under the minimum threshold condition are calculated, clustering is performed based on the mean value, and the cluster with the lowest mean value is selected as the final complete surrounding rock section under the minimum threshold condition; The threshold is increased successively, and the final complete surrounding rock section corresponding to each threshold condition is calculated respectively; Compare the final complete surrounding rock section corresponding to each threshold with the surrounding rock integrity in the borehole imaging, calculate the extraction accuracy corresponding to each threshold, and determine the optimal threshold; Using the optimal threshold and the acquired while-drilling parameters, the intact surrounding rock sections of the unexcavated sections are identified.

2. A method for identifying complete surrounding rock sections of a tunnel based on drilling parameters as claimed in claim 1, characterized in that: The drilling parameters are drilling response parameters such as drilling speed or torque.

3. A method for identifying complete surrounding rock sections of a tunnel based on drilling parameters as claimed in claim 1, characterized in that: The extraction process of the initial complete surrounding rock section is as follows: Assumptions ( x i , y i ) is the drilling parameter data at the current moment, where x i Indicates the drilling depth. y i Indicates the drilling parameter value; ( x i+1 , y i+1 ) is the drilling parameter data at the next moment, ( x i+2 , y i+2 ) is the drilling parameter data at the next moment, and so on; like y i+1 and y i If the change between is less than the minimum threshold, then record x i and x i+1 The drilling interval between is the initial complete surrounding rock section, otherwise, record x i and x i+1 The drilling interval between is an incomplete surrounding rock section; similarly, if y i+2 and y i+1 If the change between x i+1 and x i+2 The drilling interval between is the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section; The above method is used to judge each while-drilling parameter data and extract all the initial complete surrounding rock sections.

4. A method for identifying complete surrounding rock sections of a tunnel based on drilling parameters as claimed in claim 1, characterized in that: By using the mean as a feature and clustering the features using a clustering algorithm, clusters of truly complete surrounding rock sections and clusters of misjudged broken surrounding rock sections can be obtained; the cluster with the lowest mean is selected as the final complete surrounding rock section.

5. The method for identifying complete surrounding rock sections of a tunnel based on drilling parameters according to claim 1, characterized in that: Calculate the extraction accuracy corresponding to each threshold, specifically: ； Among them, p is the accuracy of complete surrounding rock segment extraction, n is the length of the final complete surrounding rock segment extracted under a certain threshold condition that matches the real complete surrounding rock segment reflected by the borehole imaging image, and m is the real complete surrounding rock segment length reflected by the borehole imaging image.

6. A method for identifying complete surrounding rock sections of a tunnel based on drilling parameters as claimed in claim 5, characterized in that: The threshold with the highest extraction accuracy is selected as the optimal threshold.

7. A method for identifying complete surrounding rock sections of a tunnel based on drilling parameters as claimed in claim 1, characterized in that: When the lithology has not changed, the optimal threshold and the acquired while-drilling parameters are used to identify the intact surrounding rock sections of the unexcavated section.

8. A tunnel complete surrounding rock section identification system based on drilling parameters, characterized in that: include: Data acquisition module, used to conduct advanced drilling experiments on the tunnel engineering site and collect drilling parameters and borehole imaging information; The complete surrounding rock section initial screening module is used to set the threshold range of the drilling parameter change of the complete surrounding rock section according to the actual accuracy requirements of the project, and set multiple different thresholds from small to large within the threshold range; continuously collect drilling parameter data at the set time interval, starting from the minimum threshold, and judge whether the change between two adjacent drilling parameter data is less than the minimum threshold. If so, record the drilling section between the two adjacent drilling parameter data as the initial complete surrounding rock section, otherwise, it is an incomplete surrounding rock section; A complete surrounding rock section determination module is used to calculate the mean values ​​of the drilling parameters of all the initial complete surrounding rock sections screened out under the minimum threshold condition when the initial complete surrounding rock section is extracted, perform clustering based on the mean value as a feature, and select the cluster with the lowest mean value as the final complete surrounding rock section; The optimal threshold determination module is used to increase the threshold in sequence and calculate the final complete surrounding rock section corresponding to each threshold condition; compare the final complete surrounding rock section corresponding to each threshold with the surrounding rock integrity in the borehole imaging, calculate the extraction accuracy corresponding to each threshold, and determine the optimal threshold; The complete surrounding rock section identification module is used to identify the complete surrounding rock sections of the unexcavated section using the optimal threshold and the acquired drilling parameters.

9. A terminal device, comprising a processor and a memory, wherein the processor is used to implement instructions; and the memory is used to store multiple instructions, characterized in that: The instructions are suitable for being loaded by a processor and executing the method for identifying complete surrounding rock sections of a tunnel based on drilling parameters as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a plurality of instructions, characterized in that: The instructions are suitable for being loaded by a processor of a terminal device and executing the method for identifying complete surrounding rock sections of a tunnel based on drilling parameters as described in any one of claims 1 to 7.

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