A drilling design parameter adjusting system and method for an electric drive rotary drill

Abstract

The application discloses a kind of electric drive roller bit drilling machine drilling design parameter adjusting system and method, the system includes equipment acquisition system, drilling tool acquisition system, comprehensive analysis system and post-processing system;Equipment acquisition system is arranged on each component of electric drive roller bit drilling machine, and the working parameter of drilling machine is detected;Drilling tool acquisition system is arranged on construction drilling tool, and rock stratum parameter is collected, data information detected by constructing two kinds of systems is passed through, and respective comprehensive coefficient is obtained, output discrimination method is established using comprehensive analysis system, corresponding output result is output to post-processing system, and post-processing system guides the drilling construction of electric drive roller bit drilling machine in succession.The control system of the application is widely applicable, does not need manual intervention, and the identification method is stable and reliable, with high identification accuracy, can provide a theoretical basis for large open-pit coal mine electric drive roller bit drilling machine construction working parameter optimization and construction area drilling design parameter updating.

Description

Technical Field

[0001] This invention belongs to the field of geological formation identification technology for electric rotary drilling rigs, and relates to a drilling design parameter adjustment system and method for electric rotary drilling rigs. Background Technology

[0002] Currently, with the increasing intensity and difficulty of large-scale open-pit coal mining, electric rotary drilling rigs are commonly used to construct blasting holes. However, due to the lack of real-time and reliable rock strata detection information in the open-pit coal mining area, it is impossible to accurately obtain the specific spatial range, interval, and borehole information before construction. Furthermore, the unevenness of the entire working plane before construction by electric rotary drilling rigs means that all the boreholes cannot be on the same plane at the end, affecting the efficiency of subsequent construction processes. At present, the design and layout of boreholes mainly rely on manual experience and historical data, and the drilling depth and layout lack scientific basis, resulting in a significant reduction in the construction efficiency of electric rotary drilling rigs. Insufficient adaptability to geological conditions has become a technical bottleneck restricting the intelligent and precise construction of electric rotary drilling rigs. Currently, all methods for rock strata identification and depth control require on-site rock strata sampling for analysis. Furthermore, different sampling and evaluation methods are typically required for different geological characteristics. Existing geological characteristic identification methods cannot be directly applied to electric roller cone drilling rigs (EDRs). Inappropriate selection can easily lead to inaccurate results and a failure to obtain effective geological data. Additionally, the working structure and construction characteristics of EDRs differ from traditional equipment, lacking readily available construction techniques for reference. This often results in qualitative construction operations during EDR operation, with delayed adjustments, significant ineffective construction, and waste, failing to guide safe production. Precise real-time detection of the construction area and adjustment of drilling parameters have become critical technical aspects severely restricting the construction efficiency of EDRs. Summary of the Invention

[0003] To address the shortcomings of existing technologies, the present invention aims to provide a drilling design parameter adjustment system and method for electric-driven roller cone drilling rigs. By receiving comprehensive datasets from the equipment acquisition system and the drill string acquisition system in real time, a precise output discrimination method is established. This allows for rapid updating and adjustment of the drilling rig's operating parameters and drilling design parameters for the next borehole, ensuring that all subsequent drilling schemes meet design requirements. The system is simple and reliable to operate, offers high parameter adjustment accuracy, requires no manual intervention, and exhibits good stability, thereby improving the construction efficiency and safety of electric-driven roller cone drilling rigs.

[0004] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0005] A drilling design parameter adjustment system for an electrically driven roller cone drill includes an equipment acquisition system, a drill string acquisition system, a comprehensive analysis system, and a post-processing system, wherein: The equipment acquisition system is arranged on each working component of the electric drive roller cone drill, including speed sensor, torque sensor, displacement sensor, force sensor, voltage sensor and current sensor, and is used to collect the real-time working parameters of the electric drive roller cone drill. The drilling tool acquisition system is deployed on the drilling tool and includes an in-hole mechanical parameter acquisition system and a rock stratum performance parameter acquisition system, used to detect rock stratum information parameters; The comprehensive analysis system is used to process the datasets obtained by the equipment acquisition system and the drilling tool acquisition system, perform data processing, establish an output discrimination method, and complete the fine identification of all borehole data. The post-processing system guides the construction of the electric-driven roller cone drilling rig based on the results of the comprehensive analysis system.

[0006] The present invention also includes the following technical features: Specifically, the speed sensors are arranged as follows: two are arranged 50mm from the motor output end of the electric drive head, two are arranged 50mm from the air box output end, and two are arranged 50mm from the drive shaft output end. The torque sensors are arranged in the following manner: two are arranged in parallel with the speed sensors, two are arranged 50mm from the motor output end of the electric drive head, two are arranged 50mm from the air box output end, and two are arranged 50mm from the drive shaft output end. The displacement sensors are arranged as follows: one sensor is placed at each of the four corners of the electric drive head slide at a distance of 30mm, and two sensors are placed at a distance of 30mm from the output end of the electric drive head drive shaft. The mechanical sensors are arranged as follows: they are arranged in parallel with the displacement sensors, with one sensor at each of the four corners of the electric drive head slide at a distance of 30mm, and two sensors at a distance of 30mm from the output end of the electric drive head drive shaft. The voltage sensor is arranged as follows: one is connected in parallel on the power supply line of the distance electric drive head motor, one is connected in parallel on the control line of the distance electric drive head motor, one is connected in parallel on each of the two sets of power supply circuits of the feeding device motors, and one is connected in parallel on each of the two sets of control circuits of the feeding device motors. The current sensors are arranged as follows: they are arranged in parallel with the voltage sensors, with one in parallel on the power supply line of the distance electric drive head motor, one in parallel on the control line of the distance electric drive head motor, one in parallel on each of the power supply lines of the two sets of feed device motors, and one in parallel on each of the control circuits of the two sets of feed device motors.

[0007] Specifically, the borehole mechanical parameter acquisition system is located at the connection between the drill string and the drill bit, and collects various borehole mechanical parameters in real time during drilling, including the axial force, tangential force, frictional resistance, vibration frequency and amplitude of the drill string; The rock strata performance parameter acquisition system is located at the drill bit and spaced between each cutting tooth. It is used to collect parameters of the rock strata, including rock compressive strength, shear strength, rock saturation, contrast, and porosity.

[0008] A method for adjusting drilling design parameters for an electric rotary drill rig, the method being implemented based on the aforementioned drilling design parameter adjustment system for an electric rotary drill rig; comprising the following steps: Step 1: Collect historical data and information on the characteristics of rock strata in the area to be constructed, and prepare rock samples of each typical rock stratum. Check whether the working performance and parameters of the electric drive roller cone drill meet the requirements. Set up the equipment acquisition system and the drill bit acquisition system to collect information on each operating status in real time, and connect them to the comprehensive analysis system and the post-processing system in sequence to ensure smooth data transmission. Step Two: The equipment acquisition system and the drilling tool acquisition system acquire data in real time, and the comprehensive analysis system processes the data to obtain a comprehensive dataset of equipment acquisition systems for each typical rock stratum. A 0 and Drill Tool Acquisition System Integrated Dataset B 0; Simultaneously, collect and organize datasets of coal and petrological geological characteristic parameters. C 0 and the borehole spatial position parameter dataset acquired in real time using a trajectory measuring instrument. D 0; The comprehensive analysis system constructs output discrimination rules based on the above dataset; Step 3: When the electric-driven roller cone drilling rig is operating normally, the equipment collects the comprehensive dataset from the system in real time. A Integrated dataset with drill string acquisition system B After completing a drilling operation, calculate the arithmetic mean of each borehole. A D and B D The comprehensive analysis system uses output discrimination rules to output the corresponding... CC ɛ and DD θ The output is sent to the post-processing system, which adjusts the drilling rig operating parameters and drilling design parameters for the next borehole. Step 4: The electric-driven roller cone drilling rig proceeds with the next drilling operation based on the adjusted drilling rig operating parameters and drilling design parameters, while simultaneously continuing to collect comprehensive datasets from the equipment's data acquisition system in real time. A Integrated dataset with drill string acquisition system B Continue using the method in step three to adjust the parameters for the next borehole; and use the above methods to complete the subsequent borehole construction.

[0009] Specifically, step two includes: S2.1, Based on real-time data collected by the equipment acquisition system and the drilling tool acquisition system, calculate the comprehensive coefficients: Speed ​​Combination Coefficient (1) Torque Combination Coefficient (2) Displacement composite coefficient (3) Mechanical comprehensive coefficient (4) Voltage comprehensive coefficient (5) Current composite coefficient (6) Comprehensive coefficient of mechanical properties within the hole (7) Comprehensive coefficient of rock strata performance (8) In the formula: i The number of items in the dataset. i =1,2,...,n; , , , , , These are data collected by the speed sensor; , , , , , These are data collected by the torque sensor; , , , , , , , , , , , These are weighting coefficients, and , ; a , b c d, e, f This is the adjustment coefficient; , , , , , These are data collected by the displacement sensor; , , , , , These are data collected by the mechanical sensors; , , , , , , , , , , , These are weighting coefficients, and , ; g , h , j, k, l, m This is the adjustment coefficient; , , , , , These are data collected by voltage sensors; , , , , , These are data collected by the current sensor; , , , , , , , , , , , These are weighting coefficients, and , ; o , p , q , r, s, t This is the adjustment coefficient; , , , , These are the collected axial force, tangential force, frictional resistance, vibration frequency, and amplitude data, respectively. , , , , These are weighting coefficients, and ;aa , bb , cc , dd, ee This is the adjustment coefficient; , , , , These are the collected rock compressive strength, shear strength, rock saturation, contrast, and porosity, respectively. , , , , These are weighting coefficients, and ; ff , gg , hh , ii, jj This is the adjustment coefficient; S2.2, derive the comprehensive dataset of the equipment acquisition system. A = Integrated dataset of drilling tool acquisition system B = They are respectively: = (9) = (10) in, For the first i The comprehensive data value acquired by the device acquisition system at each data point. ; For the first i The comprehensive data value of the drill string acquisition system at each time point ; , , , , , , , These are the weighting coefficients, both real numbers between 0 and 1. + + + + + =1, + =1; S2.3, Based on the methods in S2.1 and S2.2, obtain the comprehensive dataset of the equipment acquisition system for each typical rock stratum. A 0= Integrated dataset of drilling tool acquisition systemB 0= Coal and petrological geological characteristic parameter dataset C 0= Borehole spatial location parameter dataset D 0= The number of data in each dataset is 1. N One, and it must be a multiple of 6; S2.4 Sort the data in the four datasets in S2.3 from smallest to largest, and then divide each dataset into 6 intervals: AA 1. AA 2. AA 3. AA 4. AA 5. AA 6; BB 1. BB 2. BB 3. BB 4. BB 5. BB 6; CC 1. CC 2. CC 3. CC 4. CC 5. CC 6; DD 1. DD 2. DD 3. DD 4. DD 5. DD 6; S2.5, the output discrimination rules are constructed as follows: Output discrimination rule one:

[0010] Output discrimination rule two:

[0011] Among them, ɛ and θ are one of 1 to 5.

[0012] Specifically, in step three, the post-processing system adjusts the drilling rig operating parameters and drilling design parameters for the next borehole, including: S3.1, Determine the original coal and petrological characteristics parameters. C D Is it in CC ɛ Within the interval: S3.1.1, if C D Within the interval, compare C D and CC ɛDifference between midpoints of the interval: If the distance difference is less than the set value Then there is no need to adjust the drilling rig operating parameters for the next drilling operation; The values ​​are determined based on the on-site construction conditions in the open-pit coal mine and the actual working performance of the electric-driven roller cone drilling rig. If the distance difference is greater than or equal to Then, fine-tune the drilling rig operating parameters for the next borehole operation, adjusting the ratio as follows: ; S3.1.2, if C D Not in the range CC ɛ Inside, the drilling rig's operating parameters are manually adjusted for the next borehole drilling operation; S3.2, Determine the original borehole spatial location parameters. D D Is it in DD θ Within the interval: S3.2.1, if D D Within the interval, compare D D and DD θ Difference between midpoints of the interval: If the distance difference is less than the set value If so, there is no need to adjust the drilling design parameters for the next drilling operation; The values ​​are determined based on the on-site construction conditions in the open-pit coal mine and the actual working performance of the electric-driven roller cone drilling rig. If the distance difference is greater than or equal to Then, fine-tune the drilling design parameters for the next drilling operation, adjusting the ratio as follows: ; S3.2.2, if D D Not in the range DD θ Inside, the drilling design parameters for the next drilling operation are manually adjusted.

[0013] Specifically, in S3.1.1, the adjustment ratio for: (11) If the initial drilling rig operating parameter set for the next drilling operation is M Then the adjustment amount for each parameter is · M Among them, when C D Less than the midpoint of the interval When that happens, the adjustment amount is increased. ·M ;when C D Greater than the midpoint of the interval In this case, the adjustment amount should be reduced. · M In the above formula, The number of data points in each of the six intervals divided into the coal and petrological geological characteristic parameter dataset; ɛ is 1 to 5 One of them.

[0014] Specifically, in S3.2.1, the adjustment ratio for: (12) If the initial borehole design parameter set for the next borehole operation is N Then the adjustment amount for each parameter is · N Among them, when D D Less than the midpoint of the interval When that happens, the adjustment amount is increased. · N ;when D D Greater than the midpoint of the interval In this case, the adjustment amount should be reduced. · N In the above formula, The number of data points in each of the six intervals that divide the borehole spatial location parameter dataset; θ is 1 to... 5 One of them.

[0015] Compared with the prior art, the present invention has the following technical effects: This invention establishes a precise output discrimination method that can quickly update and adjust the drilling rig's operating parameters and drilling design parameters for the next borehole, ensuring that all subsequent drilling schemes meet design requirements. The method is simple and reliable to operate, improving the construction efficiency and safety of electric-driven roller cone drilling rigs. This invention requires no manual intervention, features a stable and reliable rock strata identification method, high parameter adjustment accuracy, small error, wide identification range, and strong applicability. It provides a theoretical basis for optimizing operating parameters and updating borehole design parameters in large open-pit coal mines using electric-driven roller cone drilling rigs. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the arrangement of the drilling design parameter adjustment system for the electric drive roller cone drill of the present invention.

[0017] Figure 2 This is a schematic diagram showing the arrangement of the equipment acquisition system on the electric drive head.

[0018] Figure 3This is a schematic diagram showing the arrangement of the equipment acquisition system on the two sets of feed device motors.

[0019] Figure 4 This is a schematic diagram of the layout of the drill bit acquisition system inside the borehole.

[0020] Figure 5 A comparison chart showing the drilling time for the original drilling rig and the drilling rig optimized using the present invention.

[0021] Figure 6 This is a comparison diagram of the final positions of the original and the two drilling position parameters optimized using this invention.

[0022] Figure 7 This is a comparison chart showing the drilling evaluation effects of the original and the two drilling position parameters optimized by this invention.

[0023] The meanings of the labels in the diagram are as follows: 1. Equipment acquisition system; 2. Comprehensive analysis system; 3. Post-processing system; 4. Drill tool acquisition system; 5. Rotation speed sensor; 6. Torque sensor; 7. Displacement sensor; 8. Mechanical sensor; 9. Voltage sensor; 10. Current sensor; 11. In-hole mechanical parameter acquisition system; 12. Rock stratum performance parameter acquisition system. Detailed Implementation

[0024] The following are specific embodiments of the present invention. It should be noted that the present invention is not limited to the following specific embodiments. All equivalent modifications made based on the technical solutions of this application fall within the protection scope of the present invention.

[0025] Example: This invention provides a drilling design parameter adjustment system for an electric rotary drilling rig. The system, deployed on the electric rotary drilling rig, includes an equipment acquisition system 1, a drill string acquisition system 4, a comprehensive analysis system 2, and a post-processing system 3, wherein: The equipment acquisition system 1 is arranged on each working part of the electric drive roller cone drill, including speed sensor 5, torque sensor 6, displacement sensor 7, force sensor 8, voltage sensor 9, and current sensor 10. It is used to collect the real-time working parameters of the electric drive roller cone drill, set them as required, and complete the detection of working parameters. The drilling tool acquisition system 4 is installed on the drilling tool and includes the in-hole mechanical parameter acquisition system 11 and the rock stratum performance parameter acquisition system 12. It is set up as required to complete the detection of rock stratum information parameters. The integrated analysis system 2 is used to process the datasets obtained by the equipment acquisition system 1 and the drill acquisition system 4, perform data processing, establish an output discrimination method, and complete the fine identification of all borehole data. The post-processing system 3 guides the electric-driven roller cone drilling rig's subsequent construction based on the results of the comprehensive analysis system 2.

[0026] The speed sensors are arranged as follows: two sensors are evenly distributed 50mm from the motor output end of the electric drive head, two sensors are evenly distributed 50mm from the air box output end, and two sensors are evenly distributed 50mm from the drive shaft output end. These sensors are used to collect speed data at each location. Speed ​​data is collected at all connection points from the source motor output end to the final drill bit input end, ensuring that speed losses at each connection point are considered. Furthermore, evenly distributing two sensors on the same detection component prevents the possibility of one sensor malfunctioning, ensuring that the collected data can effectively measure speed data. A total of six speed data sets are generated. , , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0027] The torque sensors are arranged in parallel with the speed sensors. Two sensors are evenly distributed 50mm from the motor output end of the electric drive head, two are evenly distributed 50mm from the air box output end, and two are evenly distributed 50mm from the drive shaft output end. These sensors are used to collect torque data at various points. Torque data is collected at each connection point from the source motor output end to the final drill bit input end, ensuring that torque loss at each connection point is considered. Furthermore, evenly distributing two sensors on the same detection component prevents the possibility of one sensor malfunctioning, ensuring that the collected data can effectively measure torque data. A total of six torque data sets are generated. , , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0028] The displacement sensors are arranged as follows: one sensor is placed 30mm from each of the four corners of the electric drive head slide, and two sensors are evenly placed 30mm from the output end of the electric drive head's drive shaft. These sensors are used to collect displacement data at various locations. The electric drive head slide, as the main structural component, has four corner sensors that can represent the displacement changes of the entire electric drive head structure. Additionally, the output end of the drive shaft may experience slight displacement changes during actual construction. Furthermore, evenly distributing two sensors on the same detection component prevents the possibility of one sensor malfunctioning, ensuring that the collected data can effectively measure displacement data. A total of six displacement data sets are generated. , , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0029] The mechanical sensors are arranged as follows: all sensors are placed alongside the displacement sensors, with one sensor positioned 30mm from each of the four corners of the electric drive head slide, and two sensors evenly distributed 30mm from the output end of the electric drive head's drive shaft. These sensors are used to collect mechanical data at various locations. The electric drive head slide, as the main structural component, is represented by its four corners, allowing for accurate measurement of the mechanical changes across the entire structure. Furthermore, the position of the drive shaft output end may experience minor mechanical changes during actual construction. The evenly distributed placement of two sensors on the same detection component prevents the possibility of one sensor malfunctioning, ensuring effective measurement of mechanical data. A total of six sets of mechanical data acquisition datasets are generated. , , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0030] The voltage sensors are arranged as follows: one in parallel on the power supply line of the electric drive head motor, one in parallel on the control line of the electric drive head motor, one in parallel on each of the two sets of feed device motor power supply circuits, and one in parallel on each of the two sets of feed device motor control circuits. These sensors are used to collect voltage data at various points. Since the electric drive rotary drill head uses a motor-driven system, and the feed device uses two separate motors, each motor requires measurement of its power supply and control lines to ensure effective voltage data measurement. A total of six voltage data sets are generated. , , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0031] The current sensors are arranged as follows: all are arranged in parallel with the voltage sensors. One sensor is connected in parallel on the power supply line of the electric drive head motor, one sensor is connected in parallel on the control line of the electric drive head motor, one sensor is connected in parallel on the power supply lines of the two sets of feed device motors, and one sensor is connected in parallel on the control circuits of the two sets of feed device motors. These sensors are used to collect the current magnitude at each location. Since the electric drive rotary drill head uses a motor-driven system, and the feed device uses two sets of motors for independent drive, the power supply and control lines of each motor need to be measured to ensure that the current data can be effectively measured through these data acquisitions. A total of 6 sets of current acquisition datasets are generated. , , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0032] The drilling tool acquisition system mainly includes an in-hole mechanical parameter acquisition system and a rock stratum performance parameter acquisition system.

[0033] The borehole mechanical parameter acquisition system is located at the connection between the drill string and the drill bit, secured with bolts, and integrates various measuring instruments. It can acquire various borehole mechanical parameters in real time during drilling operations without affecting the drilling process. It primarily collects the axial force, tangential force, frictional resistance, vibration frequency, and amplitude of the drill string. Axial force, tangential force, and frictional resistance represent all static loads borne by the drill string, while vibration frequency and amplitude represent all dynamic loads. These five parameters encompass all borehole mechanical parameters during drilling operations, fully reflecting the borehole mechanical characteristics during construction. A total of five sets of borehole mechanical parameter data are collected. , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0034] The rock strata performance parameter acquisition system is mainly located at the drill bit, spaced between each cutting tooth and fixed with bolts. It integrates various measuring instruments and can collect rock strata performance parameters in real time during drill bit operation without affecting drilling. The system primarily collects key rock strata parameters, including compressive strength, shear strength, rock saturation, contrast ratio, and porosity. Compressive strength and shear strength reflect the stress state of the rock strata during drill bit operation, while rock saturation, contrast ratio, and porosity reflect the physical properties of the rock strata. These five parameters encompass all rock strata performance parameters during drill bit operation, fully reflecting the rock strata performance characteristics at the time of drilling. A total of five sets of rock strata performance parameter data are collected. , , , , Each dataset underwent error and redundancy filtering and data standardization.

[0035] The comprehensive analysis system is mainly used to receive real-time data from the equipment acquisition system and the drilling tool acquisition system. The sampling interval is determined based on the on-site construction conditions and accuracy requirements. When the electric-driven roller cone drilling rig completes a borehole, both the equipment acquisition system and the drilling tool acquisition system collect n data points. The comprehensive analysis system then calculates the comprehensive coefficients for each system, mainly including the following steps: The combined speed coefficient and the combined torque coefficient are as follows: (1) (2) In the formula: i The number of items in the dataset. i =1,2,...,n; This is the overall speed coefficient; This is the overall torque coefficient; , , , , , These are data collected by the speed sensor; , , , , , These are data collected by the torque sensor; , , , , , , , , , , , These are weighting coefficients, all of which are real numbers between 0 and 1. , ; a , b c d, e, f The adjustment coefficient is determined based on the on-site construction conditions in the open-pit coal mine, and its value ranges from 0 to 3.

[0036] The displacement comprehensive coefficient and the mechanical comprehensive coefficient are respectively: (3) (4) In the formula: i The number of items in the dataset. i =1,2,...,n; This is the comprehensive displacement coefficient; This is the comprehensive coefficient for mechanics; , , , , , These are data collected by the displacement sensor; , , , , , These are data collected by the mechanical sensors; , , , , , , , , , , , These are weighting coefficients, all of which are real numbers between 0 and 1. , ; g , h , j, k, l, m The adjustment coefficient is determined based on the on-site construction conditions in the open-pit coal mine, and its value ranges from 0 to 3.

[0037] The voltage and current composite coefficients are respectively: (5) (6) In the formula: i The number of items in the dataset. i =1,2,...,n; This is the voltage comprehensive coefficient; This is the current comprehensive coefficient; , , , , , These are data collected by voltage sensors; , , , , , These are data collected by the current sensor; , , , , , , , , , , , These are weighting coefficients, all of which are real numbers between 0 and 1. , ; o , p , q , r, s, tThe adjustment coefficient is determined based on the on-site construction conditions in the open-pit coal mine, and its value ranges from 0 to 3.

[0038] The comprehensive mechanical coefficient of the hole is: (7) In the formula: i The number of items in the dataset. i =1,2,...,n; This is the comprehensive mechanical coefficient within the hole; , , , , These are the collected axial force, tangential force, frictional resistance, vibration frequency, and amplitude data, respectively. , , , , These are weighting coefficients, all of which are real numbers between 0 and 1. ; aa , bb , cc , dd, ee The adjustment coefficient is determined based on the on-site construction conditions in the open-pit coal mine, and its value ranges from 0 to 3.

[0039] The comprehensive coefficient of rock strata performance is: (8) In the formula: i The number of items in the dataset. i =1,2,...,n; This is the comprehensive coefficient of rock strata performance; , , , , These are the collected rock compressive strength, shear strength, rock saturation, contrast, and porosity, respectively. , , , , These are weighting coefficients, all of which are real numbers between 0 and 1. ; ff , gg , hh , ii, jj The adjustment coefficient is determined based on the on-site construction conditions in the open-pit coal mine, and its value ranges from 0 to 3.

[0040] Further, a comprehensive dataset of the equipment acquisition system was obtained. A = Integrated dataset of drilling tool acquisition systemB = ( i =1,2,...,n) are respectively: = (9) = (10) in, For the first i The comprehensive data value acquired by the device acquisition system at each data point. ; For the first i The comprehensive data value of the drill string acquisition system at each time point ; , , , , , , , These are the weighting coefficients, both real numbers between 0 and 1. + + + + + =1, + =1.

[0041] The integrated analysis system outputs control parameters to the post-processing system according to the output discrimination rules, ensuring that the post-control system operates as required. The method for constructing the output discrimination rules is as follows: 1) Select rock samples from typical rock strata in the area to be constructed in advance, mainly including weak interlayers, soft coal seams, hard coal seams, mudstone layers, and sandy mudstone layers. During fabrication, collect data on the coal and petrological characteristics of each typical rock strata. Use an electric-driven roller cone drilling rig for construction, and employ a trajectory measuring instrument to collect borehole spatial position parameters in real time. Simultaneously, use the aforementioned comprehensive coefficient calculation method, utilizing the equipment acquisition system and drill bit acquisition system to collect data in real time, obtaining a comprehensive dataset of typical equipment acquisition systems. A 0= ， Drill string acquisition system integrated dataset B 0= Coal and rock geological characteristic parameter dataset C 0= and borehole spatial location parameter dataset D 0= The number of data in each dataset is 1. N One, and it must be a multiple of 6.

[0042] 2) Comprehensive dataset of typical equipment acquisition systems A 0 ， Drill string acquisition system integrated dataset B 0. Coal and petrological geological characteristic parameter dataset C 0 and borehole spatial location parameter dataset D Sort the data in 0 from smallest to largest, then divide it into intervals, with each interval containing the number of data items. indivual, The integer quotient of N, the total number of data points in the comprehensive dataset of the typical equipment acquisition system, divided by 6. A The sorted dataset is then divided into 6 intervals. AA 1~ AA 6, that is, [ A 01 , A 0( +1) ), [ A 0( +1) , A 0(2 +1) ), [ A 0(2 +1) , A 0(3 +1) ), [ A 0(3 +1) , A 0(4 +1) ), [ A 0(4 +1) , A 0(5 +1) ), [ A 0(5 +1) , A 0N ],and A 01 < A 0( +1) < A 0(2 +1) < A 0(3 +1) < A 0(4 +1) < A 0(5 +1) < A 0N ; Integrate the dataset of typical drill string acquisition systems B The sorted dataset is then divided into 6 intervals. BB 1~ BB 6, that is, [ B 01 , B 0( +1) ), [ B 0( +1) , B 0(2 +1) ), [ B 0(2 +1) , B 0(3 +1) ), [ B 0(3 +1) , B 0(4 +1) ), [ B 0(4 +1) , B 0(5 +1) ), [ B 0(5 +1) , B 0N ],and B 01 < B 0( +1) < B 0(2 +1)< B 0(3 +1) < B 0(4 +1) < B 0(5 +1) < B 0N ; Dataset of typical coal and petrological characteristics parameters C The sorted dataset is then divided into 6 intervals. CC 1~ CC 6, that is, [ C 01 , C 0( +1) ), [ C 0( +1) , C 0(2 +1) ), [ C 0(2 +1) , C 0(3 +1) ), [ C 0(3 +1) , C 0(4 +1) ), [ C 0(4 +1) , C 0(5 +1) ), [ C 0(5 +1) , C 0N ],and C 01 < C 0( +1) < C 0(2 +1) <C 0(3 +1) < C 0(4 +1) < C 0(5 +1) < C 0N ; Dataset of typical borehole spatial location parameters D The sorted dataset is then divided into 6 intervals. DD 1~ DD 6, that is, [ D 01 , D 0( +1) ), [ D 0( +1) , D 0(2 +1) ), [ D 0(2 +1) , D 0(3 +1) ), [ D 0(3 +1) , D 0(4 +1) ), [ D 0(4 +1) , D 0(5 +1) ), [ D 0(5 +1) , D 0N ],and D 01 < D 0( +1) < D 0(2 +1) < D0(3 +1) < D 0(4 +1) < D 0(5 +1) < D 0N The output discrimination rules are constructed as follows: Table 1 Output Judgment Rule 1

[0043] Table 2 Output Judgment Rule 2

[0044] The judgment rules ɛ and θ are one of 1 to 5. The specific values ​​need to be determined based on the on-site construction conditions in the open-pit coal mine and the actual working performance of the electric rotary drilling rig, and with reference to the collected rock sample data of each typical rock stratum.

[0045] By analyzing the comprehensive dataset of the equipment acquisition system A 0= ， Drill string acquisition system integrated dataset B 0= Coal and rock geological characteristic parameter dataset C 0= and borehole spatial location parameter dataset D 0= All data will take values ​​from AA 1 and BB All data within the interval 1 C 0i and Statistical analysis was performed to determine the interval with the highest number of occurrences. CC ɛ and DD θ (ɛ and θ are 1 to 5), and the values ​​of ɛ and θ are taken as... AA 1 and BB The rule for determining the corresponding intervals is as follows: if two corresponding intervals have the same amount of data, calculate the average of all corresponding data, determine which interval the average falls into, and use that interval as the final corresponding interval. Similarly, all intervals are derived. AA 1~ AA 6 and interval BB 1~ BB The interval corresponding to 6 CC 1~ CC 6 and interval DD 1~DD 6. Complete the values ​​of all ɛ and θ in Tables 1 and 2.

[0046] After each hole is drilled by the electric-driven roller cone drilling rig, the data is collected in real time by the equipment's data acquisition system. A Integrated dataset with drill string acquisition system B Calculate their respective arithmetic means A D and B D By determining the interval to which each element belongs, the corresponding output is generated using output discrimination rules. CC ɛ and DD θ To the post-processing system.

[0047] The post-processing system collects the original formation data from this borehole, including the original coal and petrological geological parameters. C D and original borehole spatial location parameters D D ,according to CC ɛ and DD θ The output range is used to adjust the drilling operating parameters and drilling design parameters of the electric drive roller cone drill. The main methods for adjusting these parameters include: 1) By judging the original coal and petrological characteristics parameters C D Is it in CC ɛ Within the interval: a. If C D Within the interval, compare C D and CC ɛ Midpoint of the interval The distance difference, if the distance difference is less than hour, The values ​​are determined based on the on-site construction conditions in the open-pit coal mine and the actual working performance of the electric-driven roller cone drilling rig, so there is no need to adjust the drilling rig working parameters for the next borehole construction. b. If C D Within the interval, compare C D and CC ɛ Midpoint of the interval The distance difference, if the distance difference is greater than or equal to If necessary, the drilling rig operating parameters for the next borehole operation need to be fine-tuned, with the adjustment ratio as follows: (11) If the initial drilling rig operating parameter set for the next drilling operation is M Then the adjustment amount for each parameter is · M Among them, when C D Less than the midpoint of the interval When that happens, the adjustment amount is increased. · M ;when C D Greater than the midpoint of the interval In this case, the adjustment amount should be reduced. · M。

[0048] c. If C D Not in the range CC ɛ If the error is within the acceptable range, it indicates that there is a significant error in the on-site construction conditions or the actual working performance of the electric drive roller cone drilling rig. In this case, manual intervention is required to analyze the problem and adjust the drilling rig's working parameters for the next borehole operation manually.

[0049] 2) By determining the original borehole spatial location parameters D D Is it in DD θ Within the range: a. If D D Within the interval, compare D D and DD θ Midpoint of the interval The distance difference, if the distance difference is less than hour, The values ​​are determined based on the on-site construction conditions in the open-pit coal mine and the actual working performance of the electric-driven rotary drilling rig, so there is no need to adjust the drilling design parameters for the next drilling operation. b. If D D Within the interval, compare D D and DD θ Midpoint of the interval The distance difference, if the distance difference is greater than or equal to If necessary, the drilling design parameters for the next drilling operation need to be fine-tuned, with the adjustment ratio as follows: (12) If the initial borehole design parameter set for the next borehole operation is N Then the adjustment amount for each parameter is · N Among them, when D D Less than the midpoint of the interval When that happens, the adjustment amount is increased. · N ;when D D Greater than the midpoint of the interval In this case, the adjustment amount should be reduced. · N。

[0050] c. If D D Not in the range DD θ If the error is within the acceptable range, it indicates that there is a significant error in the on-site construction conditions or the actual working performance of the electric drive roller cone drilling rig. In this case, manual intervention is required to analyze the problem and adjust the drilling design parameters for the next drilling operation manually.

[0051] This invention also provides a method for adjusting drilling design parameters for an electric rotary drill rig, which is based on the aforementioned drilling design parameter adjustment system for an electric rotary drill rig; the method mainly includes the following steps: Step 1: Collect historical data and information on the characteristics of the rock strata in the area to be constructed, and prepare rock samples of each typical rock stratum. Check whether the working performance and main parameters of the electric drive roller cone drill meet the requirements. Fix and arrange the equipment acquisition system and drill bit acquisition system as required to collect various operating status information in real time, and connect them to the comprehensive analysis system and post-processing system in sequence to ensure smooth and reliable data transmission. At the same time, the electric drive roller cone drill works reliably and stably and is in normal condition. Step Two: The equipment acquisition system and the drilling tool acquisition system work together to collect comprehensive datasets from the equipment acquisition system for each typical rock stratum in real time. A 0 and Drill Tool Acquisition System Integrated Dataset B 0. Simultaneously, collect and organize datasets of coal and petrological geological characteristic parameters. C 0. The borehole spatial position parameters are collected in real time using a trajectory measuring instrument to obtain a borehole spatial position parameter dataset. D 0. The comprehensive analysis system constructs output discrimination rules and outputs the results to the post-processing system; Step 3: When the electric-driven roller cone drilling rig is operating normally, the equipment acquisition system and the drill bit acquisition system work together to collect the comprehensive dataset from the equipment acquisition system in real time. A Integrated dataset of drilling tool acquisition system B After completing a drilling operation, the arithmetic mean of each borehole is calculated. A D and B D The comprehensive analysis system uses output discrimination rules to output the corresponding...CC ɛ and DD θ The output is sent to the post-processing system, which adjusts the drilling rig operating parameters and drilling design parameters for the next borehole according to the above parameter adjustment method. Step 4: The electric-driven roller cone drilling rig proceeds with the next drilling operation based on the adjusted drilling rig operating parameters and drilling design parameters, while simultaneously continuing to collect comprehensive datasets from the equipment's data acquisition system in real time. A Integrated dataset of drilling tool acquisition system B Continue using the method in step three to adjust the parameters for the next borehole, and then use the above methods to complete the subsequent borehole operations.

[0052] Historical data and information on the characteristics of rock strata in a certain open-pit coal mine construction area were collected. Rock samples of various typical rock strata were tested and prepared, including weak interlayers, soft coal seams, hard coal seams, mudstone layers, and sandy mudstone layers. Equipment acquisition systems and drilling tool acquisition systems were fixedly arranged as required.

[0053] Real-time acquisition of comprehensive datasets from equipment acquiring various typical rock strata. A 0 and Drill Tool Acquisition System Integrated Dataset B 0. Simultaneously, collect and organize datasets of coal and petrological geological characteristic parameters. C 0 and borehole spatial position parameters D 0, After completing 100 boreholes, a total of 9,600 data points were collected, including rotation speed data sets. , , , , , Torque acquisition dataset , , , , , Displacement acquisition dataset , , , , , Mechanical data acquisition dataset , , , , , Voltage acquisition dataset , , , , , Current acquisition dataset , , , , , ; ( i =1,2...9600).

[0054] Pick =0.2, =0.2, =0.2, =0.2, =0.1, =0.1, =0.2, =0.2, =0.2, =0.2, =0.1, =0.1; a =1, b =1, c =1, d =1, e =1, f =1, thus obtaining the corresponding speed comprehensive coefficient. Combined torque coefficient ( i =1,2...9600). Similarly, take... =0.2, =0.2, =0.2, =0.2, =0.1, =0.1, =0.2, =0.2, =0.2, =0.2, =0.1, =0.1; g =1, h =1, j =1, k =1, l =1, m =1, thus obtaining the corresponding displacement comprehensive coefficient. and mechanical comprehensive coefficient ( i =1,2...9600). Similarly, take... =0.2, =0.2, =0.2, =0.2, =0.1, =0.1, =0.2, =0.2, =0.2, =0.2, =0.1, =0.1; o =1, p =1, q =1, r =1, s =1, t =1, thus obtaining the corresponding voltage comprehensive coefficient. and current comprehensive coefficient ( i =1,2...9600).

[0055] Simultaneously take =0.2, =0.2, =0.2, =0.2, =0.2. aa =1, bb =1, cc =1, dd =1, ee =1, thus obtaining the corresponding comprehensive mechanical coefficient within the hole. Similarly, take =0.2, =0.2, =0.2, =0.2, =0.2, ff =1, gg =1, hh =1, ii =1, jj =1, thus obtaining the corresponding comprehensive coefficient of rock layer performance. .

[0056] Pick =0.2, =0.2, =0.2, =0.2, =0.1, =0.1, =0.5, =0.5, thus obtaining the comprehensive dataset of the corresponding device acquisition system. A 0= Combined data values ​​from the drill string acquisition system B 0= ,N =9600. A trajectory measuring instrument is used to collect borehole spatial location parameters and coal and rock geological characteristic parameter datasets in real time. C 0= and borehole spatial location parameter dataset D 0= , N =9600. After sorting them separately, we get the corresponding 6 intervals. AA 1~ AA The six intervals are [0.709, 0.798), [0.798, 0.852), [0.852, 0.884), [0.884, 0.925), [0.925, 0.963), and [0.963, 1]. BB 1~ BB The six intervals are [0.658, 0.694), [0.694, 0.736), [0.736, 0.798), [0.798, 0.857), [0.857, 0.929), and [0.929, 1]. CC 1~ CC The six intervals are [0.323, 0.452), [0.452, 0.573), [0.573, 0.694), [0.694, 0.767), [0.767, 0.895), and [0.895, 1]. DD 1~ DD The values ​​6 are [0.784, 0.824), [0.824, 0.868), [0.868, 0.901), [0.901, 0.935), [0.935, 0.968), and [0.968, 1], respectively. Output discrimination rules are constructed as follows: Table 1 Output Judgment Rule 1

[0057] Table 2 Output Judgment Rule 2

[0058] After completing the construction of output discrimination rules, when an electric-driven roller cone drilling rig completes a drilling operation, the system collects the comprehensive dataset in real time. A Integrated dataset of drilling tool acquisition system B Each dataset contains 96 data points, and the corresponding arithmetic mean is calculated. A D 0.864 and B D The value is 0.769. The corresponding value is output using the discrimination rule. CC 2 and DD 2. Post-processing system.CC 2 = [0.452, 0.573), DD 2 = [0.824, 0.868) Simultaneously, collect original stratigraphic data for subsequent borehole drilling, mainly including original coal and petrological geological characteristics parameters. C D 0.524 and the original borehole spatial location parameters D D It is 0.837.

[0059] Based on the judgment, C D exist CC Within the interval 2, take =0.01, and the distance difference is 0.0115, which is greater than or equal to The calculated adjustment ratio is as follows: 0.095, the adjustment ratio of each parameter is 0.095, and C D If the value is greater than 0.513 from the midpoint of the interval, then the adjustment amount for each parameter in the drilling rig's operating parameters for the next borehole operation is a decrease. · M .

[0060] Based on the judgment, D D exist DD Within the interval 2, take =0.01, and the distance difference is 0.009, which is less than This means that no adjustments are needed in the drilling design parameters for the next drilling operation.

[0061] To further verify the engineering applicability and practical effectiveness of the optimization method proposed in this invention, 20 sets of parallel comparative borehole tests were systematically carried out in the area to be constructed, under the premise that the geological conditions, construction technology and working environment were completely consistent at the construction site.

[0062] like Figure 5 The results show a comparison of drilling time between traditional drilling rig operating parameters and those optimized using the parameters of this invention. The test data clearly demonstrates that by optimizing the key operating parameters of the drilling rig using this invention, the equipment's operating parameters are better suited to the site's geological conditions, resulting in a significant improvement in overall construction efficiency. The average drilling time per hole is reduced, with an average decrease of up to 3.6%, effectively shortening the single-hole operation cycle and accelerating the overall project construction progress.

[0063] like Figure 6This section compares the design position deviations between the original borehole location parameters and the optimized borehole location parameters of this invention. Experimental results show that although the optimized borehole spatial location parameters, after some minor adjustments compared to the original scheme, remain within the allowable error range of 0.2, fully meeting the technical requirements for borehole positioning accuracy in engineering construction. This ensures the standardization and accuracy of borehole layout while allowing for reasonable fine-tuning.

[0064] like Figure 7 This study compares and evaluates the drilling quality and overall application effect of the original drilling position parameters with those optimized by this invention. The evaluation considers multiple key indicators, including borehole flatness, axis straightness, borehole wall integrity, and subsequent drilling performance, using a comprehensive manual scoring method. The comparative analysis shows that the optimized parameters of this invention result in better borehole formation quality, higher borehole shape regularity, significantly reduced subsequent drilling and processing workload, and a significant improvement in overall borehole quality and performance. The overall construction efficiency is improved by approximately 1.9%, fully demonstrating that this invention can simultaneously improve construction efficiency and engineering benefits while ensuring drilling accuracy and borehole quality, possessing significant value for engineering promotion and application.

[0065] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the specific details of the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0066] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0067] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. A drilling design parameter adjustment system for an electrically driven roller cone drill, characterized in that, It includes an equipment acquisition system (1), a drill string acquisition system (4), a comprehensive analysis system (2), and a post-processing system (3), wherein: The equipment acquisition system (1) is arranged on each working part of the electric drive roller drill, including a speed sensor (5), a torque sensor (6), a displacement sensor (7), a mechanical sensor (8), a voltage sensor (9), and a current sensor (10), which are used to collect the real-time working parameters of the electric drive roller drill. The drilling tool acquisition system (4) is arranged on the drilling tool and includes an in-hole mechanical parameter acquisition system (11) and a rock stratum performance parameter acquisition system (12) for detecting rock stratum information parameters; The comprehensive analysis system (2) is used to process the datasets obtained by the equipment acquisition system (1) and the drill acquisition system (4), and to perform data processing, establish an output discrimination method, and at the same time complete the fine identification of all borehole data; The post-processing system (3) guides the construction of the electric-driven roller cone drilling rig based on the results of the comprehensive analysis system (2).

2. The drilling design parameter adjustment system for an electric-driven roller cone drill as described in claim 1, characterized in that, The speed sensors (5) are arranged as follows: two are arranged 50mm from the motor output end of the electric drive head, two are arranged 50mm from the air box output end, and two are arranged 50mm from the drive shaft output end. The torque sensor (6) is arranged in the following manner: it is arranged in parallel with the speed sensor (5), with two arranged at 50mm from the motor output end of the electric drive head, two arranged at 50mm from the air box output end, and two arranged at 50mm from the drive shaft output end. The displacement sensor (7) is arranged as follows: one sensor is arranged at each of the four corners of the electric drive head slide at a distance of 30mm, and two sensors are arranged at the output end of the electric drive head drive shaft at a distance of 30mm. The mechanical sensors (8) are arranged in the following manner: they are arranged in parallel with the displacement sensors (7), with one sensor arranged at each of the four corners of the electric drive head slide at a distance of 30mm, and two sensors arranged at the output end of the electric drive head drive shaft at a distance of 30mm. The voltage sensor (9) is arranged as follows: one is connected in parallel on the power supply line of the distance electric drive head motor, one is connected in parallel on the control line of the distance electric drive head motor, one is connected in parallel on the power supply circuit of the two sets of feeding device motors respectively, and one is connected in parallel on the control circuit of the two sets of feeding device motors respectively. The current sensor (10) is arranged in the following manner: it is arranged in parallel with the voltage sensor (9), with one in parallel on the power supply line of the distance electric drive head motor, one in parallel on the control line of the distance electric drive head motor, one in parallel on the power supply lines of the two sets of feeding device motors, and one in parallel on the control circuits of the two sets of feeding device motors.

3. The drilling design parameter adjustment system for an electric-driven roller cone drill as described in claim 1, characterized in that, The borehole mechanical parameter acquisition system (11) is arranged at the connection between the drill string and the drill bit. During the drilling operation, it collects the borehole mechanical parameters in real time, including the axial force, tangential force, frictional resistance, vibration frequency and amplitude of the drill string. The rock strata performance parameter acquisition system (12) is located at the drill bit and is arranged at the distance between each cutting tooth. It is used to collect parameters of the rock strata, including rock compressive strength, shear strength, rock saturation, contrast and porosity.

4. A method for adjusting drilling design parameters for an electrically driven roller cone drill, characterized in that, This method is based on the drilling design parameter adjustment system for an electrically driven roller cone drill as described in claim 3; it includes the following steps: Step 1: Collect historical data and information on the characteristics of rock strata in the area to be constructed, and prepare rock samples of each typical rock stratum. Check whether the working performance and parameters of the electric drive roller cone drill meet the requirements. Set up the equipment acquisition system and the drill bit acquisition system to collect information on each operating status in real time, and connect them to the comprehensive analysis system and the post-processing system in sequence to ensure smooth data transmission. Step Two: The equipment acquisition system and the drilling tool acquisition system acquire data in real time, and the comprehensive analysis system processes the data to obtain a comprehensive dataset of equipment acquisition systems for each typical rock stratum. A 0 and Drill Tool Acquisition System Integrated Dataset B 0; Simultaneously, collect and organize datasets of coal and petrological geological characteristic parameters. C 0 and the borehole spatial position parameter dataset acquired in real time using a trajectory measuring instrument. D 0; The comprehensive analysis system constructs output discrimination rules based on the above dataset; Step 3: When the electric-driven roller cone drilling rig is operating normally, the equipment collects the comprehensive dataset from the system in real time. A Integrated dataset of drilling tool acquisition system B After completing a drilling operation, calculate the arithmetic mean of each borehole. A D and B D The comprehensive analysis system uses output discrimination rules to output the corresponding... CC ɛ and DD θ The output is sent to the post-processing system, which adjusts the drilling rig operating parameters and drilling design parameters for the next borehole. Step 4: The electric-driven roller cone drilling rig proceeds with the next drilling operation based on the adjusted drilling rig operating parameters and drilling design parameters, while simultaneously continuing to collect comprehensive datasets from the equipment's data acquisition system in real time. A Integrated dataset of drilling tool acquisition system B Continue using the method in step three to adjust the parameters for the next borehole; and use the above methods to complete the subsequent borehole construction.

5. The method for adjusting drilling design parameters for an electric-driven roller cone drill as described in claim 4, characterized in that, Step two includes: S2.1, Based on real-time data collected by the equipment acquisition system and the drilling tool acquisition system, calculate the comprehensive coefficients: Speed ​​Combination Coefficient (1) Torque Combination Coefficient (2) Displacement composite coefficient (3) Mechanical comprehensive coefficient (4) Voltage comprehensive coefficient (5) Current composite coefficient (6) Comprehensive coefficient of mechanical properties within the hole (7) Comprehensive coefficient of rock strata performance (8) In the formula: i The number of items in the dataset. i =1,2,...,n; , , , , , These are data collected by the speed sensor; , , , , , These are data collected by the torque sensor; , , , , , , , , , , , These are weighting coefficients, and , ; a , b c d, e, f This is the adjustment coefficient; , , , , , These are data collected by the displacement sensor; , , , , , These are data collected by the mechanical sensors; , , , , , , , , , , , These are weighting coefficients, and , ; g , h , j, k, l, m This is the adjustment coefficient; , , , , , These are data collected by voltage sensors; , , , , , These are data collected by the current sensor; , , , , , , , , , , , These are weighting coefficients, and , ; o , p , q , r, s, t This is the adjustment coefficient; , , , , These are the collected axial force, tangential force, frictional resistance, vibration frequency, and amplitude data, respectively. , , , , These are weighting coefficients, and ; aa , bb , cc , dd、ee This is the adjustment coefficient; , , , , These are the collected rock compressive strength, shear strength, rock saturation, contrast, and porosity, respectively. , , , , These are weighting coefficients, and ; ff , gg , hh , ii、jj This is the adjustment coefficient; S2.2, derive the comprehensive dataset of the equipment acquisition system. A = Integrated dataset of drilling tool acquisition system B = They are respectively: = （9） = （10） in, For the first i The comprehensive data value acquired by the device acquisition system at each data point. ; For the first i The comprehensive data value of the drill string acquisition system at each time point ; , , , , , , , These are the weighting coefficients, both real numbers between 0 and 1. + + + + + =1, + =1; S2.3, Based on the methods in S2.1 and S2.2, obtain the comprehensive dataset of the equipment acquisition system for each typical rock stratum. A 0= Integrated dataset of drilling tool acquisition system B 0= Coal and petrological geological characteristic parameter dataset C 0= Borehole spatial location parameter dataset D 0= The number of data in each dataset is 1. N One, and it must be a multiple of 6; S2.4 Sort the data in the four datasets in S2.3 from smallest to largest, and then divide each dataset into 6 intervals: AA 1. AA 2. AA 3. AA 4. AA 5. AA 6; BB 1. BB 2. BB 3. BB 4. BB 5. BB 6; CC 1. CC 2. CC 3. CC 4. CC 5. CC 6; DD 1. DD 2. DD 3. DD 4. DD 5. DD 6; S2.5, the output discrimination rules are constructed as follows: Output discrimination rule one: Output discrimination rule two: Among them, ɛ and θ are one of 1 to 5.

6. The method for adjusting drilling design parameters for an electric-driven roller cone drill as described in claim 5, characterized in that, In step three, the post-processing system adjusts the drilling rig operating parameters and drilling design parameters for the next borehole, including: S3.1, Determine the original coal and petrological characteristics parameters. C D Is it in CC ɛ Within the interval: S3.1.1, if C D Within the interval, compare C D and CC ɛ Difference between midpoints of the interval: If the distance difference is less than the set value Then there is no need to adjust the drilling rig operating parameters for the next drilling operation; The values ​​are determined based on the on-site construction conditions in the open-pit coal mine and the actual working performance of the electric-driven roller cone drilling rig. If the distance difference is greater than or equal to Then, fine-tune the drilling rig operating parameters for the next borehole operation, adjusting the ratio as follows: ; S3.1.2, if C D Not in the range CC ɛ Inside, the drilling rig's operating parameters are manually adjusted for the next borehole drilling operation; S3.2, Determine the original borehole spatial location parameters. D D Is it in DD θ Within the interval: S3.2.1, if D D Within the interval, compare D D and DD θ Difference between midpoints of the interval: If the distance difference is less than the set value If so, there is no need to adjust the drilling design parameters for the next drilling operation; The values ​​are determined based on the on-site construction conditions in the open-pit coal mine and the actual working performance of the electric-driven roller cone drilling rig. If the distance difference is greater than or equal to Then, fine-tune the drilling design parameters for the next drilling operation, adjusting the ratio as follows: ; S3.2.2, if D D Not in the range DD θ Inside, the drilling design parameters for the next drilling operation are manually adjusted.

7. The method for adjusting drilling design parameters for an electric-driven roller cone drill as described in claim 6, characterized in that, In S3.1.1, the adjustment ratio for: （11） If the initial drilling rig operating parameter set for the next drilling operation is M Then the adjustment amount for each parameter is · M Among them, when C D Less than the midpoint of the interval When that happens, the adjustment amount is increased. · M ;when C D Greater than the midpoint of the interval In this case, the adjustment amount should be reduced. · M In the above formula, The number of data points in each of the six intervals divided into the coal and petrological geological characteristic parameter dataset; ɛ is 1 to 5 One of them.

8. The method for adjusting drilling design parameters for an electric-driven roller cone drill as described in claim 7, characterized in that, In S3.2.1, the adjustment ratio for: （12） If the initial borehole design parameter set for the next borehole operation is N Then the adjustment amount for each parameter is · N Among them, when D D Less than the midpoint of the interval When that happens, the adjustment amount is increased. · N ;when D D Greater than the midpoint of the interval In this case, the adjustment amount should be reduced. · N In the above formula, The number of data points in each of the six intervals that divide the borehole spatial location parameter dataset; θ is 1 to... 5 One of them.

Images