CN113175302A - Intelligent rock mass quality sensing small-sized drilling machine system and evaluation method - Google Patents
Intelligent rock mass quality sensing small-sized drilling machine system and evaluation method Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B7/00—Special methods or apparatus for drilling
- E21B7/04—Directional drilling
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- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
- E21B44/02—Automatic control of the tool feed
- E21B44/04—Automatic control of the tool feed in response to the torque of the drive ; Measuring drilling torque
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Abstract
The invention relates to a rock mass quality intelligent sensing small-sized drilling machine system and an evaluation method, wherein the small-sized drilling machine system comprises a drilling machine body, wherein a power system for providing drilling and rotation for a drilling machine is arranged on the drilling machine body; the bottom of the drilling machine body is provided with a walking and shifting device for controlling the drilling machine to move and fix; before leaving the factory, the drilling machine body is provided with a parameter acquisition and monitoring system capable of reflecting parameters while drilling in the interior and on the surface; the control system is connected with the parameter acquisition and monitoring system, is arranged on the drilling machine body, is loaded with intelligent analysis software, and is provided with a human-computer operation interface. The invention designs and processes the rock mass based on the response rule of the drilling process, provides an evaluation method for obtaining the physical and mechanical properties and the geological structure characteristics of the rock based on the drilling engineering parameters, avoids the defects of long periodicity and high cost of the traditional processes of sampling, packaging and sending the rock to a laboratory for testing and the like, and has more timely and reliable test results.
Description
Technical Field
The invention relates to the technical field of drilling machine systems and underground space fine detection, in particular to a small-sized drilling machine system for effectively obtaining drilling machine parameters and evaluating rock mass quality and an evaluation method, and the small-sized drilling machine system can be widely applied to the engineering investigation fields of tunnels, water conservancy and hydropower, road traffic, mines and the like.
Background
The physical and mechanical parameters and structural characteristics of the rock-soil body are the basic basis for classification, stability analysis and support design of the underground engineering surrounding rock, but the accurate acquisition of the parameters is very difficult because the underground rock-soil body is a very complex and invisible three-dimensional space body. The current testing method is to drill and sample on site and test physical and mechanical parameters of the rock and soil mass in a laboratory, the process is long in consumed time, high in cost and low in authenticity of the measured parameters, and the obtained result is difficult to reflect the physical and mechanical parameters and structural characteristics of the rock and soil mass in a real environment. The digital drilling is considered to be a direct and effective means for solving the problems of obtaining physical and mechanical parameters of rock masses and accurately detecting the quality of rock masses, a drilling machine carrying a high-precision sensor can record and transmit information of drilling conditions of the drilling machine in real time, and the mechanical parameters and the structural characteristics of the rock masses are inverted through the change of the working state of the drilling machine. In order to better explain the response relation between the mechanical parameters of the drilling machine and the quality characteristics of the rock mass, the drilling machine needs to be researched by means of field tests, indoor tests, numerical simulation and the like. Some relevant research has been carried out on digital drilling rigs, but very few have been directed to small rig devices and they have not given a more systematic and accurate conclusion on the response behavior of rig mechanical parameters under different rock mass conditions. Therefore, a small-sized drilling machine system is needed to be developed for detecting the quality of the rock and soil mass while drilling.
Disclosure of Invention
Therefore, the invention aims to provide a rock mass quality intelligent sensing small-sized drilling machine system, which aims at the problems that the existing integrated small-sized drilling machine for sensing the rock mass quality has less research and the acquisition of characteristic parameters and geological structure characteristics of the rock mass is difficult, and provides the intelligent sensing and real-time evaluation small-sized drilling machine system for the rock mass quality.
The invention provides a rock mass quality intelligent sensing small-sized drilling machine system, which comprises:
the drilling machine comprises a drilling machine body, wherein a power system for providing drilling and rotation for the drilling machine is arranged on the drilling machine body;
the walking and shifting device is arranged at the bottom of the drilling machine body and used for controlling the drilling machine to move and fix;
the drilling machine comprises a drilling machine body, a parameter acquisition and monitoring system and a parameter acquisition and monitoring system, wherein the drilling machine body is provided with the parameter acquisition and monitoring system capable of reflecting parameters while drilling in the interior and on the surface before leaving a factory;
and the control system is connected with the parameter acquisition and monitoring system, is arranged on the drilling machine body, is loaded with intelligent analysis software and is provided with a human-computer operation interface.
According to the technical scheme, compared with the prior art, the invention discloses and provides the intelligent rock mass quality sensing small-sized drilling machine system, the drilling machine and the drilling process monitoring system can be organically combined, the power and the motion state of the drilling machine can be continuously and completely recorded, the conventional drilling process monitoring system and the drilling machine are separated, and the mechanical parameters of the key parts of the drilling machine in the actual drilling process are difficult to accurately reflect.
Furthermore, a power system adopts a hydraulic system to provide power for the drilling process and also provide power for the walking and shifting device, so that the movement in the drilling direction and the integral movement of the drilling machine body are realized.
Furthermore, the control system comprises a control lever device and a display screen control system, wherein the control lever device is used for controlling the drilling, rotating and reversing operations of the drilling machine body and has an emergency stop function; the display screen control system is connected with the parameter acquisition and monitoring system and displays the data information acquired by the parameter acquisition and monitoring system in real time.
Further, the parameter acquisition monitoring system comprises a displacement sensor, a rotating speed sensor, a torque sensor, a pressure sensor and an oil pressure sensor which are arranged inside and on the surface of the drilling machine body.
Further, the walking and shifting device adopts a crawler-type walking device.
Further, the macroscopic size of the drilling machine body is 0.8mX0.5mX1m, and the drilling capacity is 2 m.
Another objective of the present invention is to provide an evaluation method of the intelligent sensing small-sized drilling machine system based on the rock mass quality, which comprises the following steps:
s1, analyzing and sorting the monitoring data of the while-drilling parameters collected in the drilling process of the drilling machine body by combining the existing geological data of the stratum to obtain the while-drilling parameters on the drilling depth;
s2, acquiring physical and mechanical parameters of the rock and soil mass and corresponding geological structure characteristics according to the drill core;
s3, based on the while-drilling parameters on the drilling depth obtained in S1 and the physical and mechanical parameters and the structural characteristics of the rock-soil body obtained in S2, building a model between the drilling response parameters and the rock characteristic parameters by adopting a software calculation method and a statistical regression method, further verifying and modifying the model by utilizing a numerical simulation method, and determining an identification model of the rock-soil body characteristic parameters based on the while-drilling parameters;
and S4, determining different rock stratum types and structural characteristics of the drilled stratum according to the rock and soil characteristic parameter identification model obtained in the S3, and comprehensively evaluating and grading the engineering geological conditions of the site area.
According to the technical scheme, compared with the prior art, the invention discloses an evaluation method based on the intelligent rock mass quality sensing small-sized drilling machine system, and the method disclosed by the invention is directed at a measurement while drilling technology, fills the blank of the existing intelligent rock mass quality sensing device, and solves the problems that the conventional indoor test and in-situ test are long in period, poor in effect and difficult to reflect the actual rock mass quality.
Further, the drilling parameters in S1 include torque, oil pressure, weight on bit, rotation speed, drilling speed, vibration signal of drill rod, and stress wave characteristics.
Further, the physical and mechanical parameters of the rock-soil mass in the S2 include: uniaxial compressive strength, hardness, abrasiveness, tensile strength, shear strength, cohesion, brittleness index, friction angle, and water content.
Further, in S2, the acquisition of the geologic structure characteristics is described based on the on-site drilling situation and the core obtained thereby, or the borehole television is used to recover the geologic structure characteristics in the borehole, so as to obtain the fracture length, width and attitude information of the structural surface.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a rock mass intelligent sensing small-sized drilling machine system provided by the invention;
FIG. 2 is a schematic diagram illustrating an arrangement position of an oil pressure sensor;
FIG. 3 the accompanying drawings illustrate a displacement sensor;
FIG. 4 the attached drawing shows a schematic view of the connection of an integrated sensor (three-dimensional sensor);
in the figure:
the system comprises a displacement sensor 1, a three-dimensional sensor 2, a mud pit 3, a mud pump 4, a mud tank 5, a hydraulic oil cylinder 6, a drill rod 7, a crawler 8 and an oil pressure sensor 9.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The embodiment of the invention discloses a rock mass quality intelligent sensing small-sized drilling machine system, which comprises: the drilling machine comprises a drilling machine body, wherein a power system for providing drilling and rotation for the drilling machine is arranged on the drilling machine body; the walking and shifting device is arranged at the bottom of the drilling machine body and used for controlling the drilling machine to move and fix; the drilling machine comprises a drilling machine body, a parameter acquisition and monitoring system and a parameter acquisition and monitoring system, wherein the drilling machine body is provided with the parameter acquisition and monitoring system capable of reflecting parameters while drilling in the interior and on the surface before leaving a factory; and the control system is connected with the parameter acquisition and monitoring system, is arranged on the drilling machine body, is loaded with intelligent analysis software and is provided with a human-computer operation interface.
Referring to fig. 1, the macro size of the drilling machine body of the invention is 0.8mx0.5mx1m, and the drilling capacity is 2 m. The drilling machine body mainly comprises a drill rod 7, a mud pit 3, a mud pump 4, a mud tank 5 and a walking and shifting device which adopts a crawler belt 8; the body of the drilling machine mostly operates the axial force provided by a hydraulic device, wherein the power for providing the torque of the drill rod is derived from a motor; a displacement sensor 1, a three-dimensional sensor 2 and an oil pressure sensor 9 are arranged in the drilling machine body; the mounting position of the sensor should be selected to be a key part capable of representing the movement and power state of the drilling machine, and the arrangement of the whole structure of the drilling machine is not influenced.
The structural schematic diagram of the hydraulic sensor 9 is shown in fig. 2, and the hydraulic sensors are arranged at the oil inlet and the oil outlet; the hydraulic oil sensor is connected to the oil inlet and outlet pipelines by a tee joint, the oil pressure directly acts on a diaphragm of the sensor, the diaphragm generates micro displacement in direct proportion to a pressure medium, the resistance of the sensor changes, and the pressure is measured by monitoring the change.
The structural schematic diagram of the displacement sensor 1 is shown in fig. 3, mechanical displacement corresponds to a resistance signal, and displacement information is represented by the resistance signal; the displacement sensor consists of a main body structure and a spring, and the spring is used for restoring the main body structure of the sensor to an initial position; the displacement sensor is arranged beside the hydraulic oil cylinder.
In the invention, three parameters of the torque, the rotating speed and the axial pressure of the drill rod are integrated into the same sensor to form a three-dimensional sensor 2, and the relation schematic diagram is shown in figure 4; the three-dimensional sensor is arranged at the chuck part of the drilling machine, the part is the concentrated part for torque and power transmission, the three-dimensional sensor measures various parameters in the drilling process, the number of sensor arrangement is reduced, and the test steps and procedures are optimized.
The data collected by the sensor is concentrated into a data recorder of the control system through a line, and the resistance/voltage data collected by the sensor is converted into binary data to be stored in a memory of the control system; the control system is provided with while-drilling monitoring software for real-time data display and analysis, multi-channel data can be displayed and played back in real time in various forms such as numbers, curves and the like, and a data controller exceeding a set threshold value can control an execution component to prompt or alarm; meanwhile, the working state of the drilling machine is adjusted in real time according to the change condition of the collected engineering parameter data by means of an artificial intelligence algorithm, and the construction parameters of the drilling machine are optimized.
The parameter acquisition and monitoring system for the working state of the drilling machine comprises a displacement sensor, a rotating speed sensor, a torque sensor, a pressure sensor and an oil pressure sensor which are arranged inside and on the surface of a drilling machine body. When the structure of the drilling machine is designed, the organic combination with the structure of the drilling machine is fully considered, the phenomenon that the finished drilling machine is transformed in the later period is avoided, and the data monitored by the sensor can represent the real working state of the drilling machine.
In the above embodiment, the power system adopts a hydraulic system to provide power for the drilling process and also provide power for the walking and shifting device, so that the movement in the drilling direction and the integral movement of the drilling machine body are realized.
The control system comprises a control lever device and a display screen control system, wherein the control lever device is used for controlling the drilling, rotating and reversing operations of the drilling machine body and has an emergency stop function; the display screen control system is connected with the parameter acquisition and monitoring system and displays the data information acquired by the parameter acquisition and monitoring system in real time.
The invention provides an evaluation method of a small drilling machine system based on intelligent rock mass quality perception, which comprises the following steps:
s1, analyzing and sorting the monitoring data of the while-drilling parameters collected in the drilling process of the drilling machine body by combining the existing geological data of the stratum to obtain the while-drilling parameters on the drilling depth;
s2, acquiring physical and mechanical parameters of the rock and soil mass and corresponding geological structure characteristics according to the drill core; such as rock mass fracture conditions and fracture development characteristics;
s3, based on the while-drilling parameters on the drilling depth obtained in S1 and the physical and mechanical parameters and the structural characteristics of the rock-soil body obtained in S2, building a model between the drilling response parameters and the rock characteristic parameters by adopting a software calculation method and a statistical regression method, further verifying and modifying the model by utilizing a numerical simulation method, and determining an identification model of the rock-soil body characteristic parameters based on the while-drilling parameters;
and S4, determining different rock stratum types and structural characteristics of the drilled stratum according to the rock and soil characteristic parameter identification model obtained in the S3, and comprehensively evaluating and grading the engineering geological conditions of the site area.
Because the original while-drilling parameters can not be well corresponding to the drilling depth, errors generally exist in the corresponding relation due to the fact that the drilling operation method and the stratum structure are complex, certain correction needs to be carried out according to the real-time condition of the drilling process, and deviation of stratum restoration is reduced; the method can be modified by optimizing construction operation and combining auxiliary means such as a drilling television and the like.
The physical and mechanical conditions of the rock-soil body mainly take uniaxial compressive strength, hardness and abrasiveness tests, and the parameters have a basic judgment on the geological conditions of the site area and provide a certain technical reference for the model selection of construction equipment of the site area; the rock abrasiveness index has very important significance for guiding TBM construction parameter selection and cutter head arrangement modes, and can be used for evaluating the abrasion condition of the stratum to the hob.
Or the parameters of tensile strength, shearing strength, cohesive force, brittleness index, friction angle, water content, mineral components and the like of the rock-soil mass.
The acquisition of geologic body structural features can be described based on the field drilling condition and the obtained rock core, or the geologic body structural features in the drill holes can be restored by using methods such as a drilling television and the like, so that the information such as the fracture length, the width, the occurrence and the like of the structural surface can be obtained.
Or the weathering degree of the geological structure can be further included, the weathering condition of the geological structure is identified and classified into various weathering degree grades such as non-weathering, slightly weathering, medium weathering, strong weathering and full weathering. The integrity of the geologic body is also included, and the integrity of the structure is evaluated semi-quantitatively.
The obtained parameters while drilling comprise torque, oil pressure, bit pressure, rotating speed, footage speed and the like; or also vibration signals, stress wave characteristics, etc. of the drill rod.
Based on the obtained while-drilling parameters, the physical and mechanical parameters of the rock and soil mass and the geological structure characteristics, a model between the drilling response parameters and the rock characteristic parameters is established by adopting a software calculation method and a statistical regression method, the model is further verified and modified by utilizing a numerical simulation method, and the method for obtaining the physical and mechanical parameters and the structural characteristic conditions of the rock and soil mass according to the drilling response parameters specifically comprises the following steps:
a: obtaining physical mechanical parameters of the rock-soil body through a physical mechanical inversion model of the rock-soil body based on the while-drilling parameters; the physical and mechanical parameters of rock-soil mass mainly include uniaxial compressive strength, hardness, abrasiveness and the like of rock; the physical mechanics inversion model of the rock-soil body is a database of different stratum parameters obtained by a large number of monitoring tests while drilling and tests of physical mechanics parameters of the rock body in the early stage. Analyzing and sorting the monitoring while drilling data collected in the drilling process by combining with an existing parameter database of the stratum to obtain the while drilling parameters on the drilling depth;
b: by analyzing the rock breaking mechanism of the rock, corresponding rock breaking theories and models are established based on different drill bits, the mathematical relationship between the drilling rock breaking theory and the while-drilling parameters is determined, and then the physical mechanical parameter inversion model of the rock-soil body is established.
C: establishing a relation between drilling parameters and geological structure characteristics through an energy analysis method (a software calculation method) and a statistical regression method, evaluating the development condition, the weathering degree and the integrity degree of rock mass cracks, and determining different stratum regions; and further verifying the geological structure characteristic identification model by combining the in-hole data obtained by the drilling television.
D: according to the obtained conditions of the compressive strength, the hardness, the abrasiveness distribution characteristics, the geological structure distribution characteristics and the like along the drilling depth direction, the mass attribute distribution conditions and the typical parameter salient change sections of different stratums in the drill hole are determined, and the geological conditions revealed by the drill hole are verified and checked.
E: the geological conditions of different layer stratums in the site area can be connected, and a rock-soil mass distribution condition diagram of the whole site area is obtained based on the drilling response parameters.
The mode established by the invention mainly aims at physical and mechanical parameters such as the compressive strength, the hardness, the abrasiveness and the like of the rock and the geological structure characteristics, and further comprises environmental characteristic parameters such as stress, temperature, electrical property, radioactivity and the like, so that a complete and detailed engineering geological investigation and evaluation system and grading standard are formed, the construction of each engineering field is served, and better social benefit, economic benefit and ecological benefit are achieved.
The above scheme is realized by selecting the prior art without specific mention.
Aiming at the measurement while drilling technology, the invention solves the blank of the existing rock-soil mass quality intelligent sensing device and solves the disadvantages of long period, poor effect and difficulty in reflecting the actual rock-soil mass quality in the conventional indoor test and in-situ test. The invention has the following advantages: 1. the drilling machine and the drilling process monitoring system can be organically combined, the power and motion state of the drilling machine can be continuously and completely recorded, and the conventional drilling process monitoring system and the drilling machine are separated and are difficult to accurately reflect the mechanical parameters of the key parts of the drilling machine in the actual drilling process. 2. The intelligent sensing small-sized drilling machine is small in size, convenient to carry and capable of achieving automatic control and geological information dynamic feedback of the drilling machine. 3. The method can directly obtain the physical and mechanical parameters of the rock and soil body in situ. 4. The invention establishes the relation between the drilling response parameters and the abrasiveness of the rock mass, and can provide important reference for material selection and construction parameter selection of mechanical equipment.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A rock mass intelligent sensing small-sized drilling machine system is characterized by comprising:
the drilling machine comprises a drilling machine body, wherein a power system for providing drilling and rotation for the drilling machine is arranged on the drilling machine body;
the walking and shifting device is arranged at the bottom of the drilling machine body and used for controlling the drilling machine to move and fix;
the drilling machine comprises a drilling machine body, a parameter acquisition and monitoring system and a parameter acquisition and monitoring system, wherein the drilling machine body is provided with the parameter acquisition and monitoring system capable of reflecting parameters while drilling in the interior and on the surface before leaving a factory;
and the control system is connected with the parameter acquisition and monitoring system, is arranged on the drilling machine body, is loaded with intelligent analysis software and is provided with a human-computer operation interface.
2. The system of claim 1, wherein the power system is a hydraulic system, which provides power for the drilling process and also provides power for the traveling and shifting device, so as to achieve movement in the drilling direction and movement of the drilling machine body as a whole.
3. The intelligent rock mass sensing small-sized drilling machine system according to claim 1, wherein the control system comprises a control lever device and a display screen control system, the control lever device is used for controlling the drilling, slewing and reversing operations of the drilling machine body and has an emergency stop function; the display screen control system is connected with the parameter acquisition and monitoring system and displays the data information acquired by the parameter acquisition and monitoring system in real time.
4. The small intelligent rock mass sensing drilling machine system according to claim 2, wherein the parameter acquisition and monitoring system comprises a displacement sensor, a rotating speed sensor, a torque sensor, a pressure sensor and an oil pressure sensor which are arranged inside and on the surface of the drilling machine body.
5. The intelligent rock mass sensing small drilling rig system as claimed in claim 2, wherein the walking and shifting device is a crawler-type walking device.
6. A rock mass intelligent sensing small drilling rig system according to any one of claims 1 to 5, wherein the macro size of the drilling rig body is 0.8mX0.5mX1m, and the drilling capacity is 2 m.
7. An evaluation method of a rock mass quality intelligent sensing small-sized drilling machine system based on any one of claims 1 to 6, characterized by comprising the following steps:
s1, analyzing and sorting the monitoring data of the while-drilling parameters collected in the drilling process of the drilling machine body by combining the existing geological data of the stratum to obtain the while-drilling parameters on the drilling depth;
s2, acquiring physical and mechanical parameters of the rock and soil mass and corresponding geological structure characteristics according to the drill core;
s3, based on the while-drilling parameters on the drilling depth obtained in S1 and the physical and mechanical parameters and the structural characteristics of the rock-soil body obtained in S2, building a model between the drilling response parameters and the rock characteristic parameters by adopting a software calculation method and a statistical regression method, further verifying and modifying the model by utilizing a numerical simulation method, and determining an identification model of the rock-soil body characteristic parameters based on the while-drilling parameters;
and S4, determining different rock stratum types and structural characteristics of the drilled stratum according to the rock and soil characteristic parameter identification model obtained in the S3, and comprehensively evaluating and grading the engineering geological conditions of the site area.
8. The method as claimed in claim 7, wherein the parameters while drilling in S1 include torque, oil pressure, weight on bit, rotation speed, footage speed, vibration signal of drill rod and stress wave characteristics.
9. The evaluation method of the intelligent sensing small-sized drilling machine system based on the rock mass quality as claimed in claim 7, wherein the physical and mechanical parameters of the rock mass in S2 comprise: uniaxial compressive strength, hardness, abrasiveness, tensile strength, shear strength, cohesion, brittleness index, friction angle, and water content.
10. The evaluation method of the intelligent sensing small-sized drilling machine system based on the rock mass quality as claimed in claim 7, wherein the acquisition of the geological structure characteristics in S2 is described based on the on-site drilling condition and the obtained rock core, or the geological structure characteristics in the drilling hole are restored by using a drilling television to obtain the fracture length, width and attitude information of the structural plane.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110633242.4A CN113175302A (en) | 2021-06-07 | 2021-06-07 | Intelligent rock mass quality sensing small-sized drilling machine system and evaluation method |
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| CN113686686A (en) * | 2021-08-24 | 2021-11-23 | 东北大学 | Test system and method for simulating detection of deep rock mass along drilling process |
| CN114017003A (en) * | 2021-11-03 | 2022-02-08 | 深圳市房屋安全和工程质量检测鉴定中心 | Intelligent core drilling monitoring system with early warning function and monitoring method |
| CN114109363A (en) * | 2021-09-17 | 2022-03-01 | 湖南斯福迈智能科技有限责任公司 | Drilling while-drilling inclination measuring system |
| CN114718546A (en) * | 2022-04-01 | 2022-07-08 | 中国矿业大学 | Novel anti-impact drilling robot pose adjusting method for spatial distribution IMU |
| CN116752949A (en) * | 2023-07-04 | 2023-09-15 | 中南大学 | Rock mass multidimensional information parameter in-situ acquisition device and method thereof |
| CN117514055A (en) * | 2023-12-12 | 2024-02-06 | 四川中铁二院环保科技有限公司 | Switchable drill bit system for drilling coring of different stratum |
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| CN113686686A (en) * | 2021-08-24 | 2021-11-23 | 东北大学 | Test system and method for simulating detection of deep rock mass along drilling process |
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| CN117514055A (en) * | 2023-12-12 | 2024-02-06 | 四川中铁二院环保科技有限公司 | Switchable drill bit system for drilling coring of different stratum |
| CN117514055B (en) * | 2023-12-12 | 2024-06-28 | 四川中铁二院环保科技有限公司 | Switchable drill bit system for drilling coring of different stratum |
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