Drilling operation parameter automatic matching method and system, drilling system of rock drilling jumbo, and rock drilling jumbo
By automatically matching the operating parameters of the rock drilling rig, the problems of low efficiency, high energy consumption and severe wear in rock drilling rig operations have been solved, realizing a high-efficiency and low-consumption drilling process, reducing the phenomenon of stuck drills and reducing the labor intensity of operators.
Patent Information
- Application Number
- PCT/CN2025/070804
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-04-22
- Filing Date
- 2025-01-06
- Publication Date
- 2025-10-30
AI Technical Summary
In existing rock drilling rig operations, operators adjust operating parameters based on experience, resulting in low drilling efficiency, high energy consumption, severe wear of drill bits, frequent stuck drill bits, and increased labor intensity for operators.
This paper provides a method and system for automatically matching drilling operation parameters. By acquiring the drill bit type and rock properties, and using database and neural network analysis, the system calculates and automatically adjusts parameters such as the impact frequency, rotation speed and thrust of the rock drill, thereby achieving automatic matching of operation parameters.
It improves drilling efficiency, reduces energy consumption, reduces drill bit wear and stuck drill bit occurrence, and reduces the labor intensity of operators.
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Figure CN2025070804_30102025_PF_FP_ABST
Abstract
Description
Automatic matching method and system for drilling operation parameters, drilling rig drilling system and drilling rig
[0001] Cross-reference to related applications
[0002] This disclosure is based on and claims priority to CN application No. 202410491120.X, filed on April 22, 2024, the contents of which are incorporated herein by reference in their entirety. Technical Field
[0003] This disclosure relates to an automatic matching method and system for drilling operation parameters, a drilling rig system and a drilling rig, belonging to the field of drilling rig technology. Background Technology
[0004] As the dominant equipment in drill-and-blast construction, rock drilling rigs are mainly used in the construction of underground engineering projects such as railway and highway tunnels, underground mine roadways, and hydropower culverts, playing an increasingly important role in underground engineering construction. The operation of a rock drilling rig mainly involves four processes: impact, propulsion, rotation, and flushing. The flushing process generally ensures sufficient water volume to promptly remove broken rock cuttings. The other processes mainly involve operating parameters such as impact frequency, rock drill impact energy, propulsion force, and rotation speed. For different rock properties and selected drill bit types, there is an optimal combination of these operating parameters that can improve drilling efficiency, reduce energy consumption, and minimize drill bit wear and stuck drill bit phenomena. Summary of the Invention
[0005] In a first aspect, this disclosure provides an automatic matching method for drilling operation parameters, including: obtaining the current drill bit type and rock properties; obtaining a set of datasets corresponding to the current drill bit type and rock properties from a database to obtain the rock drill impact frequency and rock drill impact energy, wherein the database includes multiple sets of datasets; calculating the drill bit rotation speed based on the drill bit type and rock drill impact frequency; calculating the propulsion force based on the rock properties, rock drill impact frequency, and rock drill impact energy; and automatically adjusting the hydraulic flow and pressure of the impact system based on the rock drill impact frequency and rock drill impact energy, automatically adjusting the hydraulic flow of the rotation system based on the drill bit rotation speed, and automatically adjusting the hydraulic pressure of the propulsion system based on the propulsion force, thereby achieving automatic matching of operation parameters.
[0006] In some embodiments, the parameters of the dataset include drill bit type, rock properties, rock drill impact frequency, rock drill impact energy, and drilling speed.
[0007] In some embodiments, the database is obtained through experimental testing, with the goal of maximizing drilling speed, and the optimal combination relationship between drill bit type, rock properties, rock drill impact frequency, and rock drill impact energy is obtained through neural network analysis.
[0008] In some embodiments, calculating the drill bit rotation speed based on the drill bit type and the rock drill impact frequency specifically includes: the drill bit type includes the drill bit diameter and the diameter of the carbide teeth embedded in the drill bit; specifically calculated by the following formula:
[0009] In the formula: n is the drill bit rotation speed, f is the rock drill impact frequency, D is the drill bit diameter, and d is the diameter of the carbide teeth embedded in the drill bit.
[0010] In some embodiments, calculating the propulsion force based on rock properties, rock drill impact frequency, and rock drill impact energy specifically includes: the rock properties include the uniaxial compressive strength of the rock; specifically calculated by the following formula:
[0011] In the formula: F T For propulsion, R c Let f be the uniaxial compressive strength of the rock, f be the impact frequency of the rock drill, m be the mass of the rock drill impact piston, E be the impact energy of the rock drill, α be the stroke-time ratio, and F be the uniaxial compressive strength of the rock. f F is the frictional force of the rock drill moving on the guide rail. G This is the component of the rock drill's gravity.
[0012] In some embodiments, the value of α ranges from [0.33, 0.37].
[0013] Secondly, this disclosure provides an automatic matching system for drilling operation parameters. The system includes: a database module for acquiring the current drill bit type and rock properties, and acquiring a set of datasets corresponding to the current drill bit type and rock properties from the database to obtain the rock drill impact frequency and rock drill impact energy, wherein the database includes multiple sets of datasets; a calculation module for calculating the drill bit rotation speed according to the drill bit type and rock drill impact frequency, and calculating the propulsion force according to the rock properties, rock drill impact frequency, and rock drill impact energy; and an adjustment module for automatically adjusting the hydraulic flow and pressure of the impact system according to the rock drill impact frequency and rock drill impact energy, automatically adjusting the hydraulic flow of the rotation system according to the drill bit rotation speed, and automatically adjusting the hydraulic pressure of the propulsion system according to the propulsion force, thereby achieving automatic matching of operation parameters.
[0014] In some embodiments, the automatic drilling operation parameter matching system further includes a display, a controller, and a storage device. The display and the storage device are both electrically connected to the controller. The controller is used to implement the automatic drilling operation parameter matching method described in the first aspect. The storage device is used to store the database module. The display device is used to manually input the drill bit type and rock properties.
[0015] Thirdly, this disclosure provides a rock drilling rig drilling system, including the automatic matching system for drilling operation parameters described in the second aspect.
[0016] In some embodiments, the rock drilling rig drilling system further includes a rock drill housing and a drill rod. The rock drill housing is provided with a piston and a drill bit. One end of the drill rod is rotatably connected to the drill bit via a connecting sleeve, and the other end of the drill rod is provided with a drill bit.
[0017] Fourthly, this disclosure provides a rock drilling rig, including: the rock drilling rig drilling system described in the third aspect. Attached Figure Description
[0018] Figure 1 is a flowchart illustrating an automatic matching method for drilling operation parameters according to an embodiment of the present disclosure;
[0019] Figure 2 is a schematic diagram of an automatic matching system for drilling operation parameters provided according to an embodiment of the present disclosure;
[0020] Figure 3 is a flowchart of the operation of an automatic matching system for drilling operation parameters provided according to an embodiment of the present disclosure;
[0021] Figure 4 is a schematic diagram of a drilling system for a rock drilling rig provided according to an embodiment of the present disclosure.
[0022] In the diagram: 11. Rock drill housing; 12. Piston; 13. Chisel shank; 14. Connecting sleeve; 15. Drill rod; 16. Drill bit; 21. Rock; 22. Rock cuttings. Detailed Implementation
[0023] The technical solutions of this disclosure will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this disclosure and the specific features in the embodiments are detailed descriptions of the technical solutions of this disclosure, rather than limitations thereof. In the absence of conflict, the embodiments of this disclosure and the technical features in the embodiments can be combined with each other.
[0024] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.
[0025] In related technologies, when operating a rock drilling rig, operators often adjust the operating parameters based on experience, or even do not adjust them at all and drill according to the factory settings. This results in low drilling efficiency, high energy consumption, severe wear of the drill bit, and frequent jamming, which seriously affects the construction progress and quality.
[0026] When operating a rock drilling rig, the operator usually operates directly according to the relevant operating parameters set by the factory. Experienced operators will consider matching the operating parameters and manually adjust the hydraulic flow and pressure of the impact system, propulsion system and rotation system according to the properties of the rock being drilled and the type of drill bit used. They will select operating parameters such as impact frequency, impact energy, propulsion force and rotation speed that they consider suitable. To a certain extent, this can improve drilling efficiency, reduce energy consumption, reduce drill bit wear and reduce the frequency of stuck drill.
[0027] However, the inventors of this disclosure have discovered that when operating a rock drilling rig in related technologies, the operator manually adjusts the hydraulic flow and pressure of the impact system, propulsion system, and rotation system based on experience. This cannot guarantee that the operating parameters such as impact frequency, rock drill impact energy, propulsion force, and rotation speed will reach the optimal combination. Improper adjustments by the operator will not only fail to improve drilling efficiency but will also cause many problems, such as severe wear of the drill bit, frequent jamming of the drill bit, and even damage to the rock drill. Manual adjustments by the operator will also increase the labor intensity.
[0028] In view of this, embodiments of the present disclosure provide an automatic matching method for drilling operation parameters to solve at least one of the above-mentioned problems as much as possible.
[0029] Figure 1 is a flowchart illustrating an automatic matching method for drilling operation parameters provided according to an embodiment of the present disclosure.
[0030] As shown in Figure 1, the automatic matching method for drilling operation parameters includes: obtaining the current drill bit type and rock properties; retrieving a set of datasets corresponding to the current drill bit type and rock properties from the database to obtain the rock drill impact frequency and rock drill impact energy, wherein the database includes multiple sets of datasets; calculating the drill bit rotation speed based on the drill bit type and rock drill impact frequency; calculating the propulsion force based on the rock properties, rock drill impact frequency, and rock drill impact energy; and automatically adjusting the hydraulic flow and pressure of the impact system based on the rock drill impact frequency and rock drill impact energy, automatically adjusting the hydraulic flow of the rotation system based on the drill bit rotation speed, and automatically adjusting the hydraulic pressure of the propulsion system based on the propulsion force, thereby achieving automatic matching of operation parameters.
[0031] In some embodiments, the parameters of the dataset include drill bit type, rock properties, rock drill impact frequency, rock drill impact energy, and drilling speed. The database is obtained through experimental testing (e.g., extensive experimental testing) with the goal of maximizing drilling speed, and the optimal combination relationship between drill bit type, rock properties, rock drill impact frequency, and rock drill impact energy is obtained through neural network analysis.
[0032] For example, in the early stages, different types of drill bits are selected to drill into rocks of different properties. The impact frequency and rock drill impact energy are adjusted, the drilling speed is monitored, and a large amount of data is obtained. With the goal of the fastest drilling speed, the optimal impact frequency and rock drill impact energy corresponding to different types of drill bits drilling into rocks of different properties are obtained through neural network analysis, forming a dataset, and a database is established based on multiple datasets.
[0033] In some embodiments, calculating the drill bit rotation speed based on the drill bit type and the rock drill impact frequency specifically includes: the drill bit type includes the drill bit diameter and the diameter of the carbide teeth embedded in the drill bit; specifically calculated by the following formula:
[0034] In the formula: n is the drill bit rotation speed (r / min), f is the rock drill impact frequency (Hz), D is the drill bit diameter (mm), and d is the diameter of the carbide teeth embedded in the drill bit (mm).
[0035] For example, during the drilling process of a rock drill, there is an optimal combination relationship between the drill bit rotation speed during the drill bit rotation process, the rock drill impact frequency, and the drill bit type. When the rock drill impact frequency and the selected drill bit type are fixed, if the drill bit rotation speed is too low, it will be unable to peel off the rock that has been broken by impact, causing the rock drill to repeatedly impact the already broken rock, resulting in energy loss and reduced drilling efficiency. If the drill bit rotation speed is too high, the rotation shear area will increase, and the torque during drilling will increase. When the torque exceeds the limit value, it will cause the drill to jam and cause abnormal wear of the drill bit. Therefore, the optimal rotation speed can be calculated based on the rock drill impact frequency and the drill bit type. Through analysis, the logical relationship is as shown in the above formula (1).
[0036] In some embodiments, calculating the propulsion force based on rock properties, rock drill impact frequency, and rock drill impact energy specifically includes: the rock properties include the uniaxial compressive strength of the rock; specifically calculated by the following formula:
[0037] In the formula: F T For propulsion (N (Newtons)), R c Let f be the uniaxial compressive strength of the rock (MPa), f be the impact frequency of the rock drill (Hz), m be the mass of the rock drill impact piston (kg), which can be obtained from rock drill sample data, E be the impact energy of the rock drill (J), α be the stroke-time ratio, and F be the uniaxial compressive strength of the rock (MPa). f F represents the frictional force (N) exerted by the rock drill as it moves along the guide rail. G This represents the component of gravity (N) of the rock drill. Generally, rock drilling rigs operate horizontally, so the component of gravity can be ignored. For example, the value of α ranges from [0.33, 0.37]. Smaller values are used for rock drills with shorter strokes, and larger values are used for rock drills with longer strokes. Generally, 0.35 is used.
[0038] For example, the propulsion process mainly involves propelling the rock drill to ensure close contact between the drill bit and the rock, allowing the impact energy of the piston to be transmitted to the rock through the drill bit and drill string. If the propulsion force is too small, the drill bit will retract after impact, failing to maintain good contact with the rock at the bottom of the hole, resulting in wasted impact energy. If the propulsion force is too large, the friction between the drill bit and the rock at the bottom of the hole will be greater, leading to excessive drill rod torque, preventing normal rotation of the drill rod, or even jamming the drill. If the rock drill impact frequency and impact energy are too high, the impact reaction force on the drill bit will be greater. To ensure good contact between the drill bit and the rock at the bottom of the hole, the propulsion force can be increased. Similarly, under the action of rock drill impact energy, the harder the rock, the easier it is for the drill bit to rebound. That is, different types of rock require different propulsion forces. Therefore, the propulsion force can be calculated based on the impact frequency, rock drill impact energy, and rock properties. Through analysis, the relationship between the propulsion force and the impact frequency and rock drill impact energy is as follows:
[0039] The harder the rock, the easier it is for the drill bit to bounce back after impact, and the greater the thrust required. Considering the influence of rock properties, the thrust is calculated as follows:
[0040] In the automatic matching method for drilling operation parameters of this disclosure, before the start of work, the optimal impact frequency and impact energy of the rock drill can be extracted from the database according to the drill bit type and rock properties, which helps to improve drilling efficiency; the optimal rotation speed and thrust can be obtained through logical calculation, and the overall operation parameters are more reasonably matched, which helps to increase drilling speed, reduce energy consumption, and reduce drill bit wear and stuck drill phenomenon; this disclosure can automatically adjust the corresponding hydraulic system through the optimal combination of operation parameters, which improves the accuracy of adjustment, reduces the harm caused by blind adjustment by the operator, eliminates the need for manual adjustment, and reduces the labor intensity of the operator.
[0041] Figure 2 is a schematic diagram of an automatic drilling operation parameter matching system according to an embodiment of the present disclosure. Figure 3 is a flowchart of the operation of an automatic drilling operation parameter matching system according to an embodiment of the present disclosure.
[0042] As shown in Figures 2-3, this disclosure provides an automatic matching system for drilling operation parameters, the system comprising: a database module, a calculation module, and an adjustment module.
[0043] The database module is used to obtain the current drill bit type and rock properties. It retrieves a set of datasets corresponding to the current drill bit type and rock properties from the database to obtain the rock drill impact frequency and rock drill impact energy. The database includes multiple sets of datasets.
[0044] The calculation module is used to calculate the drill bit rotation speed based on the drill bit type and rock drill impact frequency, and to calculate the propulsion force based on the rock properties, rock drill impact frequency, and rock drill impact energy.
[0045] The adjustment module is used to automatically adjust the hydraulic flow and pressure of the impact system according to the impact frequency and impact energy of the rock drill, automatically adjust the hydraulic flow of the rotation system according to the drill bit rotation speed, and automatically adjust the hydraulic pressure of the propulsion system according to the propulsion force, so as to achieve automatic matching of operating parameters.
[0046] In some embodiments, the automatic drilling operation parameter matching system further includes a display, a controller, and a storage device. Both the display and the storage device are electrically connected to the controller. The controller is used to implement the automatic drilling operation parameter matching method as described above.
[0047] The storage device is used to store the database module.
[0048] The display is used for manually inputting the drill bit type and rock properties.
[0049] (1) Database module:
[0050] When a rock drilling rig is in operation, different types of drill bits are selected to drill into rocks of different properties. The required impact frequency and impact energy of the rock drill vary. The harder the rock, the greater the required impact energy and the lower the impact frequency. Using high impact energy in soft rock will inevitably result in energy loss. Therefore, appropriate impact frequency and impact energy can improve drilling efficiency and reduce energy consumption. In the early stages, different types of drill bits are selected to drill into rocks of different properties. The impact frequency and impact energy are adjusted, the drilling speed is monitored, and a large amount of data is obtained. With the goal of maximizing drilling speed, neural network analysis is used to obtain the optimal impact frequency and impact energy for different types of drill bits drilling into rocks of different properties. A database is established, forming a database module, and stored in the memory. Before each drilling operation, the selected drill bit type and the properties of the rock being drilled are input into the controller through the display. The controller then retrieves the database module from the memory and recommends the optimal impact frequency and impact energy for the rock drill.
[0051] (2) Solving module:
[0052] During rock drill drilling, there exists an optimal combination relationship between the rotational speed, impact frequency, and drill bit type. When the rock drill impact frequency and selected drill bit type are fixed, excessively low rotational speed will cause energy loss and reduce drilling efficiency; excessively high rotational speed will lead to stuck drill bit and abnormal wear of the drill bit. Therefore, a logical relationship between rotational speed, impact frequency, and drill bit type is established, and the optimal rotational speed is calculated based on the impact frequency and drill bit type. The propulsion process mainly propels the rock drill to ensure close contact between the drill bit and the rock, guaranteeing that the rock drill impact energy of the piston is effectively transmitted to the rock through the shank and drill bit. The propulsion force... Too little thrust will waste the rock drill's impact energy; too much thrust will prevent the drill rod from rotating properly or even cause the drill to jam. If the rock drill's impact frequency and energy are too high, the thrust needs to be increased. Different types of rock require different thrusts. Therefore, a logical relationship needs to be established between the thrust and impact frequency, rock drill impact energy, and rock properties. The optimal thrust is calculated based on these factors. The logical expressions for calculating the rotational speed and thrust are then input into the controller to form a calculation module. This module can calculate the optimal rotational speed and thrust based on the known parameters and the logical expressions.
[0053] (3) Adjustment module:
[0054] The controller automatically adjusts the hydraulic flow and pressure of the impact system based on the recommended impact frequency and the rock drill's impact energy, automatically adjusts the hydraulic flow of the slewing system based on the slewing speed calculated by the calculation module, and automatically adjusts the hydraulic pressure of the propulsion system based on the propulsion force calculated by the calculation module. Ultimately, this achieves automatic matching of operating parameters, improving the drilling efficiency of the rock drill, reducing energy consumption, and minimizing wear and stuck drill phenomena.
[0055] In some embodiments, the rock drill is mounted on a rock drilling rig. Once the rock drilling rig's operating parameters are automatically matched, the operation can begin. After the operation is completed, the rock drilling rig is shut down and withdraws from the working face to await the next cycle. In each operating cycle, the rock drilling rig typically drills blasting holes 3-5 meters deep on the working face for explosive blasting. Within a drilling depth of 3-5 meters, the rock properties do not change significantly and can be considered consistent. Therefore, after the optimal operating parameters are matched before each drilling cycle, the rock drilling rig does not need to make real-time adjustments to the operating parameters during the drilling process.
[0056] In the specific operation of the automatic drilling parameter matching system of this embodiment, before the rock drilling rig begins operation, the known properties of the drilling rock and the selected drill bit type are input into the controller via a display. The controller retrieves the database module in its memory and recommends the optimal impact frequency and impact energy for the rock drill. The calculation module within the controller calculates the optimal slewing speed and propulsion force based on the input drilling rock properties, selected drill bit type, and recommended impact frequency and impact energy. The adjustment module automatically adjusts the hydraulic flow and pressure of the impact system, propulsion system, and slewing system to achieve optimal matching of the above operating parameters, eliminating the need for operator adjustment based on experience. This system helps improve the drilling efficiency of the rock drilling rig, reduce energy consumption, reduce drill bit wear and stuck drill bit phenomena, and improve the working effect of the system.
[0057] Figure 4 is a schematic diagram of a drilling system for a rock drilling rig provided according to an embodiment of the present disclosure.
[0058] This disclosure provides a drilling system for a rock drilling rig, including the automatic matching system for drilling operation parameters as described above.
[0059] In some embodiments, as shown in FIG4, the drilling system of the rock drilling rig further includes a rock drill housing 11 and a drill rod 15. The rock drill housing 11 is provided with a piston 12 and a drill bit 13. One end of the drill rod 15 is rotatably connected to the drill bit 13 through a connecting sleeve 14, and the other end of the drill rod 15 is provided with a drill bit 16.
[0060] For example, in Figure 4, A represents the impact process of the drilling rig during drilling, B represents the propulsion process, C represents the rotation process, and D represents the flushing process.
[0061] During operation, the impact process is as follows: Impact process A mainly involves breaking the rock 21. The hydraulic system of the rock drilling rig provides impact energy to the rock drill, pushing the piston 12 forward and accelerating it to a certain speed to impact the drill bit 13. The impact energy of the rock drill is transmitted to the rock 21 in the form of stress waves through the connecting sleeve 14, along the drill rod 15 and the drill bit 16, causing the rock 21 to break.
[0062] The propulsion process: Propulsion process B is to apply a thrust to the rock drill housing 11 during drilling, so that the drill bit 16 is always in close contact with the rock 21 during drilling, to prevent the drill bit 16 from rebounding and to ensure that the impact energy of the rock drill is effectively transmitted to the rock 21.
[0063] Rotation process: The main function of rotation process C is to rotate the drill bit 16 to a new position after each impact to break new rocks 21 and peel off the rocks 21 that have already cracked.
[0064] Flushing process: Flushing process D is to flush out the rock cuttings 22 that have broken off from the borehole. If the flushing is not sufficient, the drill bit 16 will repeatedly grind the rock cuttings 22 in the borehole, which will not only slow down the drilling speed, but also accelerate the wear of the drill bit 16, and may even cause the drill to get stuck.
[0065] In the above four processes, the flushing process D generally ensures sufficient flushing water to flush out the rock cuttings 22 in time. The other three processes mainly involve operating parameters such as impact frequency, rock drill impact energy, rotation speed, and thrust. For different types of drill bits 16 and different properties of rock 21, there is an optimal combination of the above operating parameters, which can improve the efficiency of the drilling rig during the drilling process, reduce energy consumption, and reduce wear and stuck drill phenomena.
[0066] In some embodiments of this disclosure, a rock drilling rig is also provided, including: the rock drilling rig drilling system as described above.
[0067] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0068] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more flowchart illustrations and / or one or more block diagrams.
[0069] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more block diagrams.
[0070] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions, which execute on the computer or other programmable apparatus, provide steps for implementing the functions specified in one or more flowcharts and / or one or more block diagrams.
[0071] The above description is only a preferred embodiment of this disclosure. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of this disclosure, and these improvements and modifications should also be considered within the scope of protection of this disclosure.
Claims
1. An automatic matching method for drilling operation parameters, comprising: Obtain the current drill bit type and rock properties, and retrieve a set of datasets corresponding to the current drill bit type and rock properties from the database to obtain the rock drill impact frequency and rock drill impact energy. The database includes multiple sets of datasets. Calculate the drill bit rotation speed based on the drill bit type and the rock drill impact frequency; The propulsion force is calculated based on the rock properties, the rock drill's impact frequency, and the rock drill's impact energy; and The hydraulic flow and pressure of the impact system are automatically adjusted according to the impact frequency and impact energy of the rock drill, the hydraulic flow of the rotation system is automatically adjusted according to the drill bit rotation speed, and the hydraulic pressure of the propulsion system is automatically adjusted according to the propulsion force, so as to achieve automatic matching of operating parameters.
2. The automatic matching method for drilling operation parameters according to claim 1, wherein, The parameters of the dataset include drill bit type, rock properties, rock drill impact frequency, rock drill impact energy, and drilling speed.
3. The automatic matching method for drilling operation parameters according to claim 2, wherein, The database was obtained through experimental testing. With the goal of maximizing drilling speed, the optimal combination relationship between drill bit type, rock properties, rock drill impact frequency, and rock drill impact energy was obtained through neural network analysis.
4. The automatic matching method for drilling operation parameters according to any one of claims 1 to 3, wherein, The calculation of drill bit rotation speed based on drill bit type and rock drill impact frequency specifically includes: The drill bit type includes the drill bit diameter and the diameter of the carbide teeth embedded in the drill bit; Specifically, it is calculated using the following formula: In the formula: n is the drill bit rotation speed, f is the rock drill impact frequency, D is the drill bit diameter, and d is the diameter of the carbide teeth embedded in the drill bit.
5. The automatic matching method for drilling operation parameters according to any one of claims 1 to 4, wherein, The calculation of propulsion force based on rock properties, rock drill impact frequency, and rock drill impact energy specifically includes: The rock properties include the uniaxial compressive strength of the rock; Specifically, it is calculated using the following formula: In the formula: F T For propulsion, R c Let f be the uniaxial compressive strength of the rock, f be the impact frequency of the rock drill, m be the mass of the rock drill impact piston, E be the impact energy of the rock drill, α be the stroke-time ratio, and F be the uniaxial compressive strength of the rock. f F is the frictional force of the rock drill moving on the guide rail. G This is the component of the rock drill's gravity.
6. The automatic matching method for drilling operation parameters according to claim 5, wherein, The value range of α is [0.33, 0.37].
7. An automatic matching system for drilling operation parameters, comprising: The database module is used to obtain the current drill bit type and rock properties. It retrieves a set of datasets corresponding to the current drill bit type and rock properties from the database to obtain the rock drill impact frequency and rock drill impact energy. The database includes multiple sets of datasets. The calculation module is used to calculate the drill bit rotation speed based on the drill bit type and rock drill impact frequency, and to calculate the propulsion force based on rock properties, rock drill impact frequency, and rock drill impact energy; and The adjustment module is used to automatically adjust the hydraulic flow and pressure of the impact system according to the impact frequency and impact energy of the rock drill, automatically adjust the hydraulic flow of the rotation system according to the drill bit rotation speed, and automatically adjust the hydraulic pressure of the propulsion system according to the propulsion force, so as to achieve automatic matching of operating parameters.
8. The automatic matching system for drilling operation parameters according to claim 7 further includes: The system includes a display, a controller, and a storage device, wherein the display and the storage device are both electrically connected to the controller. The controller is used to implement the automatic matching method for drilling operation parameters as described in any one of claims 1 to 6; The storage device is used to store the database module; The display is used for manually inputting the drill bit type and rock properties.
9. A rock drilling rig drilling system, comprising: The automatic matching system for drilling operation parameters as described in any one of claims 7 to 8.
10. The drilling system for a rock drilling rig according to claim 9, further comprising: The rock drill housing and drill rod are provided. The rock drill housing is equipped with a piston and a drill bit. One end of the drill rod is rotatably connected to the drill bit through a connecting sleeve, and the other end of the drill rod is equipped with a drill bit.
11. A rock drilling rig, comprising: The drilling system of the rock drilling rig as described in any one of claims 9 to 10.
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