Modularized drill carriage and method capable of rapidly detecting rock mass strength parameters

Abstract

The invention discloses a modular drill carriage and method capable of rapidly detecting rock mass strength parameters, and relates to the technical field of geotechnical engineering investigation, and the modular drill carriage comprises a continuous drilling subsystem used for drilling field surrounding rock; the hydraulic loading subsystem is used for providing drilling power for the continuous drilling subsystem; the self-positioning subsystem is used for controlling the continuous drilling subsystem to drill at different angles and different heights; and the remote control monitoring subsystem is used for collecting the while-drilling parameters, and after the while-drilling parameters are corrected according to the defined drill bit wear degree coefficient, the rock mass hardness prediction model is adopted to obtain a rock mass hardness prediction value. On-site surrounding rock drilling in all directions and in a high-low position mode under different geological conditions is achieved, meanwhile, while-drilling parameters in the drilling process are monitored and analyzed in real time, and prediction of the accurate value of rock mass hardness under the in-situ condition is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of geotechnical engineering investigation, and in particular to a modular drilling vehicle and a method for quickly detecting rock mass strength parameters. Background Art

[0002] During tunnel excavation and roadway construction, blasting methods are often required, such as drilling and blasting, mining blasting, etc. Among them, rock hardness is an important indicator reflecting the hardness, drillability and difficulty of blasting of rock formations, and is particularly important for roadway and tunnel blasting construction.

[0003] At present, the testing methods for rock mass hardness mainly include rock mass hardness identification by rock cuttings logging, hardness tester, etc. Among them, rock mass hardness identification by rock cuttings logging not only takes a lot of time, manpower and funds, but also depends on the quality of logging data; hardness tester often needs to take samples and conduct tests, etc., and there are requirements for the rock mass after sampling, and the data is difficult to feedback in time. Therefore, there is currently a lack of equipment that can quickly detect the hardness of underground engineering rock mass and a method for quickly and effectively testing the hardness of underground engineering surrounding rocks in situ. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a modular drilling vehicle and method that can quickly detect rock strength parameters, realize on-site surrounding rock drilling in all directions and high and low positions under different geological conditions, and simultaneously perform real-time monitoring and analysis of the drilling parameters during the drilling process, so as to predict the precise value of rock hardness under in-situ conditions.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a modular drilling vehicle capable of quickly detecting rock mass strength parameters, comprising: Continuous drilling subsystem, used to drill into the surrounding rock on site; A hydraulic loading subsystem, used to provide drilling power to the continuous drilling subsystem; Autonomous positioning subsystem, used to control the continuous drilling subsystem to drill at different angles and heights; The remote control monitoring subsystem is used to collect drilling parameters. After the drilling parameters are corrected according to the defined drill bit wear coefficient, the rock hardness drilling prediction model is used to obtain the rock hardness prediction value. The rock hardness drilling prediction model is as follows: by constructing the relationship between the drilling parameters and the rock crushing specific energy, and by fitting the relationship between the rock crushing specific energy and the rock hardness, a rock hardness drilling prediction model based on the drilling parameters is constructed.

[0006] As an optional implementation, the autonomous positioning subsystem performs omnidirectional drilling and high and low position opening by controlling the drill rod of the continuous drilling subsystem, thereby achieving surrounding rock drilling at different angles and different heights.

[0007] As an optional implementation, in the remote control monitoring subsystem, a mechanical analysis is performed on the rock drilling process to establish a relationship between the drilling parameters and the rock crushing specific energy: ; In the formula, d The specific energy of rock mass crushing, that is, the energy required to cut and crush a unit volume of rock mass; V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion; R is the drill bit radius; L is the main cutting edge length of the drill bit; l is the length of the secondary cutting edge of the drill bit; m is the friction coefficient between the drill bit and the rock at the bottom of the hole.

[0008] As an optional implementation method, the process of constructing a rock mass hardness prediction while drilling model includes: performing a Pusch hardness test on a rock mass sample to obtain the Pusch hardness value of the rock mass, performing a regression analysis on the rock mass crushing specific energy and the rock mass hardness, fitting the relationship between the rock mass crushing specific energy and the rock mass hardness, and combining the relationship between the drilling parameters and the rock mass crushing specific energy to establish a rock mass hardness prediction while drilling model: ; In the formula, f is the rock hardness, α and β are the fitting coefficient and the fitting constant respectively.

[0009] As an optional implementation, the drill bit wear coefficient is: by establishing the relationship between the drill bit service life and the rock mass hardness, and defining the drill bit wear coefficient according to the drill bit service life: ; ; In the formula, W The working life of the drill bit when drilling a rock with a certain hardness. W 0 is the standard service life of the drill bit, k is a parameter related to drill bit life, e is the drill wear coefficient, f The hardness of the rock mass.

[0010] As an optional implementation, the drilling parameters are corrected based on the drill bit wear coefficient, and the correction models of each drilling parameter are: ; ; ; ; In the formula, V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion, e is the drill wear coefficient; is the correction value of propulsion speed, A revised model for propulsion speed; is the correction value of the rotation speed, is the correction model of the rotation speed; is the correction value of the propulsion force, A revised model for propulsion; is the correction value of the rotation torque, is the correction model of the rotary torque; a1 and b1 are the fitting coefficient and fitting constant between the drilling pressure increment caused by drill bit wear and the drill bit wear degree coefficient, respectively; a2 and b2 are the fitting coefficient and fitting constant between the torque increment caused by drill bit wear and the drill bit wear degree coefficient, respectively.

[0011] In a second aspect, the present invention provides a method for quickly detecting rock mass strength parameters, comprising: Obtaining drilling parameters, and building the relationship between the drilling parameters and rock mass crushing specific energy based on the drilling parameters; The rock mass is tested for hardness to obtain the Pugh hardness value of the rock mass, the relationship between rock mass crushing specific energy and rock mass hardness is fitted, and a rock mass hardness prediction model based on the drilling parameters is established by combining the relationship between the drilling parameters and the rock mass crushing specific energy. The real-time drilling parameters are obtained, and after the real-time drilling parameters are corrected according to the defined drill bit wear coefficient, the rock hardness prediction model is used to obtain the predicted value of rock hardness.

[0012] As an optional implementation, the process of constructing a rock mass hardness while drilling prediction model includes: Through mechanical analysis of the rock drilling process, the relationship between the drilling parameters and the rock crushing specific energy is established as follows: ; By conducting a Pusch hardness test on a rock sample, the Pusch hardness value of the rock mass is obtained; By performing regression analysis on rock mass crushing specific energy and rock mass hardness, fitting the relationship between rock mass crushing specific energy and rock mass hardness, and combining the relationship between drilling parameters and rock mass crushing specific energy, a rock mass hardness while drilling prediction model is established: ; In the formula, d The specific energy of rock mass crushing, that is, the energy required to cut and crush a unit volume of rock mass; V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion; f is the rock mass hardness; R is the drill bit radius; L is the main cutting edge length of the drill bit; l is the length of the secondary cutting edge of the drill bit; m is the friction coefficient between the drill bit and the rock at the bottom of the hole, α and β are the fitting coefficient and the fitting constant respectively.

[0013] As an optional implementation, the drill bit wear coefficient is: by establishing the relationship between the drill bit service life and the rock mass hardness, and defining the drill bit wear coefficient according to the drill bit service life: ; ; In the formula, W The working life of the drill bit when drilling a rock with a certain hardness. W 0 is the standard service life of the drill bit, k is a parameter related to drill bit life, e is the drill wear coefficient, f The hardness of the rock mass.

[0014] As an optional implementation, the drilling parameters are corrected based on the drill bit wear coefficient, and the correction models of each drilling parameter are: ; ; ; ; In the formula, V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion, e is the drill wear coefficient; is the correction value of propulsion speed, A revised model for propulsion speed; is the correction value of the rotation speed, is the correction model of the rotation speed; is the correction value of the propulsion force, A revised model for propulsion; is the correction value of the rotation torque, is the correction model of the rotary torque; a1 and b1 are the fitting coefficient and fitting constant between the drilling pressure increment caused by drill bit wear and the drill bit wear degree coefficient, respectively; a2 and b2 are the fitting coefficient and fitting constant between the torque increment caused by drill bit wear and the drill bit wear degree coefficient, respectively.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a modular drilling vehicle and method that can quickly detect rock strength parameters, realize on-site surrounding rock drilling in all-round and high-low modes under different geological conditions, realize 360° all-round angle adjustment and high-low opening operations at any height between 700-2900mm, and simultaneously monitor and analyze the drilling parameters in real time during the drilling process, so as to predict the precise value of rock hardness under in-situ conditions.

[0016] The present invention proposes a modular drilling vehicle and method for quickly detecting rock strength parameters. The modular drilling vehicle is used to carry out drilling detection of surrounding rocks on site. The acquired drilling parameters are used to establish a relationship between the drilling parameters and the rock crushing specific energy. On this basis, the rock crushing specific energy and rock hardness are fitted to obtain a rock hardness drilling prediction model, and a drill wear coefficient is defined. The drill wear coefficient is used to correct the real-time drilling parameters, thereby obtaining a more accurate rock hardness drilling prediction value, realizing the prediction of the precise value of rock hardness under in-situ conditions, and providing an intelligent device and acquisition method for the accurate and real-time in-situ acquisition of surrounding rock hardness in underground engineering.

[0017] 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 practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0019] Figure 1 It is a schematic structural diagram of a modular drilling vehicle capable of quickly detecting rock mass strength parameters provided by Example 1 of the present invention; Figure 2 A technical roadmap of a method for quickly detecting rock mass strength parameters provided in Example 2 of the present invention; Among them, 1. Continuous drilling subsystem, 2. Hydraulic loading subsystem, 3. Remote control monitoring subsystem, 4. Autonomous positioning subsystem, 5. Explosion-proof displacement sensor, 6. Intrinsically safe rotation speed sensor, 7. Explosion-proof rotation torque sensor, 8. Intrinsically safe pressure sensor. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0022] It should be noted that the terms used herein are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention. 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 the terms "include" and "comprise" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0024] Example 1 like Figure 1 As shown, this embodiment provides a modular drilling vehicle capable of quickly detecting rock mass strength parameters, comprising: Continuous drilling subsystem 1, used for drilling surrounding rock on site; The hydraulic loading subsystem 2 is used to provide drilling power to the continuous drilling subsystem; The autonomous positioning subsystem 4 is used to control the continuous drilling subsystem to drill at different angles and heights; The remote control monitoring subsystem 3 is used to collect the drilling parameters. After the drilling parameters are corrected according to the defined drill bit wear coefficient, the rock hardness drilling prediction model is used to obtain the rock hardness prediction value; wherein, the rock hardness drilling prediction model is: by constructing the relationship between the drilling parameters and the rock crushing specific energy, and by fitting the relationship between the rock crushing specific energy and the rock hardness, a rock hardness drilling prediction model based on the drilling parameters is constructed.

[0025] In this embodiment, the continuous drilling subsystem 1 realizes the drilling of surrounding rocks at the underground engineering site, and mainly includes parts such as drilling guides and drill rods. Existing devices for surrounding rock drilling can be used. As long as the same function can be achieved, they will not be elaborated here.

[0026] In this embodiment, the hydraulic loading subsystem 2 provides drilling power through hydraulics to push the drill rod of the continuous drilling subsystem to drill the surrounding rock on site. It mainly includes parts such as a motor and a hydraulic cylinder. The existing device for hydraulic loading can be used. As long as it can achieve the same function, it will not be elaborated here.

[0027] In this embodiment, the autonomous positioning subsystem 4 can control the drilling vehicle through local operation and wireless remote control operation, control the drilling vehicle to move, and at the same time control the drill rod of the continuous drilling subsystem to perform all-round drilling and high and low-position openings, thereby realizing surrounding rock drilling at different angles and different heights.

[0028] As an optional implementation, the autonomous positioning subsystem 4 mainly includes a main machine and a crawler frame. The main machine can be rotated and positioned on the crawler frame to achieve 360° all-round angle adjustment and high and low position opening operations at any height between 700-2900mm.

[0029] It is understandable that the more specific structures of the continuous drilling subsystem, the hydraulic loading subsystem and the autonomous positioning subsystem are not limited, and conventional devices can be used as long as the same functions can be achieved.

[0030] In this embodiment, the remote control monitoring subsystem 3 is used to control the propulsion speed and rotation speed during the drilling process, and monitor and analyze the drilling parameters such as drilling depth, propulsion speed, rotation speed, propulsion force and rotation torque through sensors.

[0031] As an optional implementation, in the remote control monitoring subsystem 3, the drilling displacement, rotation speed, rotation torque and propulsion force are respectively collected by means of an explosion-proof displacement sensor 5, an intrinsically safe rotation speed sensor 6, an explosion-proof rotation torque sensor 7 and an intrinsically safe pressure sensor 8. At the same time, the propulsion speed is obtained according to the drilling displacement, and the drilling parameters are analyzed in real time through the processing module to realize the prediction of rock hardness.

[0032] In this embodiment, the process of the processing module performing real-time analysis on the drilling parameters includes: (1) Through mechanical analysis of the rock drilling process, the relationship between the drilling parameters and the rock crushing specific energy is established based on the principle of energy conservation: ; In the formula, d The specific energy of rock mass crushing, that is, the energy required to cut and crush a unit volume of rock mass; V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion, R is the drill bit radius, Lis the main cutting edge length of the drill bit, l is the length of the secondary cutting edge of the drill bit, m is the friction coefficient between the drill bit and the rock at the bottom of the hole.

[0033] (2) The Pujol hardness value of the rock mass is obtained by performing a Pujol hardness test on the rock mass sample. The relationship between the rock mass crushing specific energy and the rock mass hardness is fitted by performing a regression analysis on the rock mass crushing specific energy and the rock mass hardness. Combined with the relationship between the drilling parameters and the rock mass crushing specific energy, a drilling prediction model for rock mass hardness based on the drilling parameters is established: ; In the formula, f Indicates the hardness of the rock mass being tested. α and β are the fitting coefficient and the fitting constant respectively.

[0034] (3) The drill bit wear coefficient is defined and the collected while-drilling parameters are corrected by the drill bit wear coefficient to eliminate the influence of drill bit wear on the while-drilling parameters. The coefficient is then substituted into the while-drilling prediction model of rock hardness to obtain a more accurate prediction value of rock hardness.

[0035] Specifically: In order to calculate the service life of the drill bit when drilling a rock with a certain hardness, the relationship between the drill bit service life and the rock hardness is established, and the drill bit wear degree coefficient is defined according to the drill bit service life: ; ; In the formula, W To extend the service life of the drill bit when drilling rock of a certain hardness, W 0 is the standard service life of the drill bit, k is a parameter related to drill bit life, e is the drill bit wear coefficient.

[0036] The drilling parameters are corrected based on the drill bit wear coefficient. The correction models of the four drilling parameters are: ; ; ; ; In the formula, is the correction value of propulsion speed, A revised model for propulsion speed; is the correction value of the rotation speed, is the correction model of the rotation speed; is the correction value of the propulsion force, A revised model for propulsion; is the correction value of the rotation torque, is the correction model of the rotary torque; a1 and b1 are the fitting coefficient and fitting constant between the drilling pressure increment caused by drill bit wear and the drill bit wear degree coefficient, respectively; a2 and b2 are the fitting coefficient and fitting constant between the torque increment caused by drill bit wear and the drill bit wear degree coefficient, respectively.

[0037] In this embodiment, the drilling parameters collected in real time are substituted into the drilling prediction model of rock hardness to obtain the equivalent drilling hardness of the rock mass. The drilling parameters are corrected according to the defined drill wear coefficient and then inserted into the drilling prediction model of rock hardness to obtain an accurate rock hardness prediction value.

[0038] Example 2 like Figure 2 As shown, this embodiment provides a method for quickly detecting rock mass strength parameters, including: (1) Performing a digital drilling test on the surrounding rock using the modular drilling vehicle described in Example 1 to obtain drilling parameters during the drilling process, including thrust speed, rotation speed, thrust force, and rotation torque.

[0039] (2) Establish the relationship between rock crushing specific energy and drilling parameters.

[0040] (3) Conduct a Pugh hardness test on the rock mass to obtain the Pugh hardness value of the rock mass.

[0041] (4) Perform regression analysis on rock hardness and rock crushing specific energy, fit the relationship between rock crushing specific energy and rock hardness, and build a rock hardness prediction model based on drilling parameters by combining the relationship between rock crushing specific energy and drilling parameters; (5) The drill bit wear coefficient is defined and the collected while-drilling parameters are corrected by the drill bit wear coefficient to eliminate the influence of drill bit wear on the while-drilling parameters. The coefficient is then substituted into the while-drilling prediction model of rock hardness to obtain a more accurate prediction value of rock hardness.

[0042] In this embodiment, by performing mechanical analysis on the rock drilling process, the relationship between the drilling parameters and the rock crushing specific energy is established based on the energy conservation principle: ; In the formula, d The specific energy of rock mass crushing, that is, the energy required to cut and crush a unit volume of rock mass; V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion; R is the drill bit radius; L is the main cutting edge length of the drill bit; lis the length of the secondary cutting edge of the drill bit; m is the friction coefficient between the drill bit and the rock at the bottom of the hole.

[0043] In this embodiment, the Puerto Rico hardness value of the rock mass is obtained by performing a Puerto Rico hardness test on the rock mass sample, and the relationship between the rock mass crushing specific energy and the rock mass hardness is fitted by performing a regression analysis on the rock mass crushing specific energy and the rock mass hardness. In combination with the relationship between the drilling parameters and the rock mass crushing specific energy, a drilling prediction model for rock mass hardness based on the drilling parameters is established: ; In the formula, f is the rock hardness, α and β are the fitting coefficient and the fitting constant respectively.

[0044] In this embodiment, in order to calculate the service life of the drill bit when drilling a rock mass of a certain hardness, the relationship between the working life of the drill bit and the hardness of the rock mass is established, and the drill bit wear degree coefficient is defined according to the working life of the drill bit: ; ; In the formula, W To extend the service life of the drill bit when drilling rock of a certain hardness, W 0 is the standard service life of the drill bit, k is a parameter related to drill bit life, e is the drill bit wear coefficient.

[0045] In this embodiment, the drilling parameters are corrected based on the drill bit wear coefficient, and the correction models of each drilling parameter are respectively: ; ; ; ; In the formula, V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion, e is the drill wear coefficient; is the correction value of propulsion speed, A revised model for propulsion speed; is the correction value of the rotation speed, is the correction model of the rotation speed; is the correction value of the propulsion force, A revised model for propulsion; is the correction value of the rotation torque, is the correction model of the rotary torque; a1 and b1 are the fitting coefficient and fitting constant between the drilling pressure increment caused by drill bit wear and the drill bit wear degree coefficient, respectively; a2 and b2 are the fitting coefficient and fitting constant between the torque increment caused by drill bit wear and the drill bit wear degree coefficient, respectively.

[0046] In this embodiment, in actual underground projects, a modular drilling vehicle is first used to drill and detect the surrounding rock of the underground project, and the real-time acquired drilling parameters are substituted into the drilling prediction model of rock hardness to obtain the drilling equivalent hardness of the rock mass. The drilling parameters are then corrected according to the defined drill bit wear coefficient and then substituted into the drilling prediction model of rock hardness to obtain an accurate rock hardness prediction value.

[0047] 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 modular drilling vehicle capable of quickly detecting rock mass strength parameters, characterized in that: include: Continuous drilling subsystem, used to drill into the surrounding rock on site; A hydraulic loading subsystem, used to provide drilling power to the continuous drilling subsystem; Autonomous positioning subsystem, used to control the continuous drilling subsystem to drill at different angles and heights; The remote control monitoring subsystem is used to collect drilling parameters. After the drilling parameters are corrected according to the defined drill bit wear coefficient, the rock hardness drilling prediction model is used to obtain the rock hardness prediction value. The rock hardness drilling prediction model is as follows: by constructing the relationship between the drilling parameters and the rock crushing specific energy, and by fitting the relationship between the rock crushing specific energy and the rock hardness, a rock hardness drilling prediction model based on the drilling parameters is constructed.

2. The modular drilling vehicle capable of quickly detecting rock mass strength parameters as claimed in claim 1, characterized in that: The autonomous positioning subsystem performs omnidirectional drilling and high and low position opening by controlling the drill rod of the continuous drilling subsystem, thereby achieving surrounding rock drilling at different angles and different heights.

3. The modular drilling vehicle capable of quickly detecting rock mass strength parameters as claimed in claim 1, characterized in that: In the remote control monitoring subsystem, the relationship between the drilling parameters and the rock mass crushing specific energy is established by conducting mechanical analysis on the rock mass drilling process: ； In the formula, δ The specific energy of rock mass crushing, that is, the energy required to cut and crush a unit volume of rock mass; V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion; R is the drill bit radius; L is the main cutting edge length of the drill bit; l is the length of the secondary cutting edge of the drill bit; μ is the friction coefficient between the drill bit and the rock at the bottom of the hole.

4. The modular drilling vehicle capable of quickly detecting rock mass strength parameters as claimed in claim 3, characterized in that: The construction process of the rock mass hardness prediction while drilling model includes: obtaining the rock mass hardness value by performing a Pusch hardness test on the rock mass sample, fitting the relationship between the rock mass crushing specific energy and the rock mass hardness by performing a regression analysis on the rock mass crushing specific energy and the rock mass hardness, and establishing the rock mass hardness prediction while drilling model by combining the relationship between the drilling parameters and the rock mass crushing specific energy: ; In the formula, f is the rock hardness, α and β are the fitting coefficient and the fitting constant respectively.

5. The modular drilling vehicle capable of quickly detecting rock mass strength parameters as claimed in claim 1, characterized in that: The drill bit wear coefficient is: By establishing the relationship between the drill bit working life and the rock hardness, and defining the drill bit wear coefficient according to the drill bit working life: ； ； In the formula, W The working life of the drill bit when drilling a rock with a certain hardness. W 0 is the standard service life of the drill bit, k is a parameter related to drill bit life, ε is the drill wear coefficient, f The hardness of the rock mass.

6. The modular drilling vehicle capable of quickly detecting rock mass strength parameters as claimed in claim 1, characterized in that: The drilling parameters are corrected based on the drill bit wear coefficient. The correction models of each drilling parameter are: ； ； ； ； In the formula, V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion, ε is the drill wear coefficient; is the correction value of propulsion speed, A revised model for propulsion speed; is the correction value of the rotation speed, is the correction model of the rotation speed; is the correction value of the propulsion force, A revised model for propulsion; is the correction value of the rotation torque, is the correction model of the rotary torque; a1 and b1 are the fitting coefficient and fitting constant between the drilling pressure increment caused by drill bit wear and the drill bit wear degree coefficient, respectively; a2 and b2 are the fitting coefficient and fitting constant between the torque increment caused by drill bit wear and the drill bit wear degree coefficient, respectively.

7. A method for rapidly detecting rock mass strength parameters, characterized in that: include: Obtaining drilling parameters, and building the relationship between the drilling parameters and rock mass crushing specific energy based on the drilling parameters; The rock mass is tested for hardness to obtain the Pugh hardness value of the rock mass, the relationship between rock mass crushing specific energy and rock mass hardness is fitted, and a rock mass hardness prediction model based on the drilling parameters is established by combining the relationship between the drilling parameters and the rock mass crushing specific energy. The real-time drilling parameters are obtained, and after the real-time drilling parameters are corrected according to the defined drill bit wear coefficient, the rock hardness prediction model is used to obtain the predicted value of rock hardness.

8. The method for rapidly detecting rock mass strength parameters according to claim 7, characterized in that: The construction process of the rock hardness while drilling prediction model includes: Through mechanical analysis of the rock drilling process, the relationship between the drilling parameters and the rock crushing specific energy is established as follows: ; By conducting a Pusch hardness test on a rock sample, the Pusch hardness value of the rock mass is obtained; By performing regression analysis on rock mass crushing specific energy and rock mass hardness, fitting the relationship between rock mass crushing specific energy and rock mass hardness, and combining the relationship between drilling parameters and rock mass crushing specific energy, a rock mass hardness while drilling prediction model is established: ; In the formula, δ The specific energy of rock mass crushing, that is, the energy required to cut and crush a unit volume of rock mass; V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion; f is the rock mass hardness; R is the drill bit radius; L is the main cutting edge length of the drill bit; l is the length of the secondary cutting edge of the drill bit; μ is the friction coefficient between the drill bit and the rock at the bottom of the hole, α and β are the fitting coefficient and the fitting constant respectively.

9. The method for rapidly detecting rock mass strength parameters according to claim 7, characterized in that: The drill bit wear coefficient is: By establishing the relationship between the drill bit working life and the rock hardness, and defining the drill bit wear coefficient according to the drill bit working life: ； ； In the formula, W The working life of the drill bit when drilling a rock with a certain hardness. W 0 is the standard service life of the drill bit, k is a parameter related to drill bit life, ε is the drill wear coefficient, f The hardness of the rock mass.

10. The method for rapidly detecting rock mass strength parameters according to claim 7, characterized in that: The drilling parameters are corrected based on the drill bit wear coefficient. The correction models of each drilling parameter are: ； ； ； ； In the formula, V For the propulsion speed; N is the rotation speed; M is the rotation torque; F For propulsion, ε is the drill wear coefficient; is the correction value of propulsion speed, A revised model for propulsion speed; is the correction value of the rotation speed, is the correction model of the rotation speed; is the correction value of the propulsion force, A revised model for propulsion; is the correction value of the rotation torque, is the correction model of the rotary torque; a1 and b1 are the fitting coefficient and fitting constant between the drilling pressure increment caused by drill bit wear and the drill bit wear degree coefficient, respectively; a2 and b2 are the fitting coefficient and fitting constant between the torque increment caused by drill bit wear and the drill bit wear degree coefficient, respectively.

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