CN112664174B - Tunnel surrounding rock grade determination method and system based on multiple drill holes - Google Patents
Tunnel surrounding rock grade determination method and system based on multiple drill holes Download PDFInfo
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Abstract
The invention discloses a tunnel surrounding rock grade judging method and system based on multiple drill holes, belonging to the technical field of tunnel engineering and comprising the following steps: collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data by using the drilling parameters and the surrounding rock grades; training the constructed neural network model by using sample data to obtain a surrounding rock grade evaluation model; and processing the drilling parameters of a certain mileage by using a surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage. According to the method, the grade of the surrounding rock is judged according to the drilling parameters, so that the efficiency of judging the tunnel face and the advanced surrounding rock grade is greatly improved, and the automation degree is high.
Description
Technical Field
The invention relates to the technical field of tunnel engineering, in particular to a tunnel surrounding rock grade judging method and system based on multiple drill holes.
Background
In tunnel engineering, geological conditions frequently change violently, so that interpretation of geological conditions in certain mileage ranges is mistaken before construction, surrounding rock grading is inaccurate, tunnel design and construction are influenced, and even serious consequences are caused.
The research aiming at the automatic classification of the surrounding rock is numerous, corresponding data are generally collected on site by special personnel, time and labor are wasted, the construction safety problem is easy to generate, and the influence is caused on the tunnel construction. Although some grading methods do not have the problems, the analysis parameters do not fully consider the spatial distribution characteristics of the rock mass of the working face, and the grading results do not necessarily meet the actual requirements.
Disclosure of Invention
The invention aims to overcome the defects in the background technology and realize the rapid and automatic judgment of the grade of the tunnel face and the surrounding rock in front.
In order to achieve the purpose, the tunnel surrounding rock grade judging method based on the multiple drill holes comprises the following steps:
collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data according to the drilling parameters and the surrounding rock grades;
training the constructed neural network model by using the sample data to obtain a surrounding rock grade evaluation model;
and processing the drilling parameters of a certain mileage by using a surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
Further, the drilling parameters include impact pressure Ps, revolution pressure Pr, thrust pressure Pa, thrust speed Va, water pressure Pw, and water flow rate Qw.
Further, the collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data by using the drilling parameters and the surrounding rock grades comprises:
collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range;
calculating drilling parameters at interpolation points distributed at a specified mileage section of the tunnel according to a certain distance through an interpolation algorithm, and calculating an average value of the drilling parameters at each interpolation point;
arranging all interpolation points according to a fixed sequence, and calculating the number ratio of the maximum value points in the drilling parameter arrangement result at all interpolation points;
and constructing and obtaining the sample data by using the average value of drilling parameters, the number ratio of maximum values and the grade of the surrounding rock.
Further, the calculating, by an interpolation algorithm, drilling parameters at interpolation points distributed at a specified mileage section of the tunnel at a certain interval, and calculating an average value of the drilling parameters at each interpolation point, includes:
extracting drilling parameter values at the intersection of the cross section of the specified mileage K and each drill hole within the mileage range of the drill hole;
setting interpolation points P at a certain interval in the area of the tunnel face to be excavated at the mileage KiObtaining a point P through an interpolation algorithm according to the drilling parameter values and the positions of the intersection points of the mileage section and the drill holesiThe interpolation result of the drilling parameters;
calculating each interpolation point PiAverage value of drilling parameters, including percussion pressure average value
Mean value of revolution pressure
Mean value of propulsion pressure
Mean value of propulsion speed
Average value of water pressure
Average water flow
Further, the processing the drilling parameters of a certain mileage by using the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage includes:
calculating the drilling parameters at the interpolation points distributed at a certain interval at the section of the certain mileage through an interpolation algorithm to obtain the average value of the drilling parameters at each interpolation point of the certain mileage;
arranging all interpolation points of the certain mileage according to a fixed sequence, and calculating the number ratio of the maximum value points in the arrangement result of the drilling parameters at all interpolation points;
and taking the ratio of the average value of the drilling parameters at each interpolation point of the certain mileage to the number of the maximum value points as the input of the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
On the other hand, adopt a tunnel country rock grade decision-making system based on many drilling, include: sample data construction module, training module and decision module, wherein:
the sample data construction module is used for acquiring drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data by using the drilling parameters and the surrounding rock grades;
the training module is used for training the constructed neural network model by using the sample data to obtain a surrounding rock grade evaluation model;
the judging module is used for processing the drilling parameters of a certain mileage by using the surrounding rock grade evaluating model to obtain the surrounding rock grade of the certain mileage.
Further, the drilling parameters include impact pressure Ps, revolution pressure Pr, thrust pressure Pa, thrust speed Va, water pressure Pw, and water flow rate Qw.
Further, the sample data construction module comprises an acquisition unit, an interpolation calculation unit, a maximum value number ratio calculation unit and a construction unit, wherein:
the acquisition unit is used for acquiring drilling parameters in the drilling process and surrounding rock grades in the drilling process range;
the interpolation calculation unit is used for calculating drilling parameters at interpolation points distributed at a specified mileage section of the tunnel according to a certain distance through an interpolation algorithm and calculating the average value of the drilling parameters at each interpolation point;
the maximum value number ratio calculation unit is used for arranging all interpolation points according to a fixed sequence and calculating the maximum value number ratio in the drilling parameter arrangement result at all the interpolation points;
and the construction unit is used for constructing and obtaining the sample data by utilizing the average value of drilling parameters, the number proportion of maximum values and the grade of the surrounding rock.
Further, the interpolation calculation unit includes an extraction subunit, an interpolation result calculation subunit, and an average value calculation subunit, wherein:
the extraction subunit is used for extracting drilling parameter values at intersection points of the cross section at the specified mileage K and each drill hole in the mileage range where the drill holes are located;
the interpolation result calculation subunit is used for setting interpolation points P at certain intervals in the area of the tunnel face to be excavated at the mileage KiObtaining a point P through an interpolation algorithm according to the drilling parameter values and the positions of the intersection points of the mileage section and the drill holesiThe interpolation result of the drilling parameters;
the average value operator unit is used for calculating each interpolation point PiAverage value of drilling parameters, including percussion pressure average value
Mean value of revolution pressure
Mean value of propulsion pressure
Mean value of propulsion speed
Average value of water pressure
Average water flow
Further, the determination module includes a first data processing unit, a second data processing unit, and a determination unit, wherein:
the first data processing unit is used for calculating the drilling parameters at interpolation points distributed at a certain interval on the section of a certain mileage through an interpolation algorithm to obtain the average value of the drilling parameters at each interpolation point of the certain mileage;
the second data processing unit is used for arranging the interpolation points of the certain mileage according to a fixed sequence and calculating the number ratio of the maximum value points in the arrangement result of the drilling parameters at the interpolation points;
and the judging unit is used for taking the ratio of the average value of the drilling parameters at each interpolation point of the certain mileage to the number of the maximum value points as the input of the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
Compared with the prior art, the invention has the following technical effects: according to the invention, the drilling parameter information of the face and the front of the trolley is automatically acquired by drilling, so that the safety risk in the data acquisition process is low, and the tunnel construction is not influenced; the surrounding rock grade is judged according to the drilling parameters, so that the efficiency of judging the tunnel face and the advanced surrounding rock grade is greatly improved, and the neural network model is adopted for judging the surrounding rock grade, so that the automation degree is high; the distribution rule of drilling parameters in the tunnel face area is considered, and the grade evaluation result is better; meanwhile, the surrounding rock grade evaluation of the area which is drilled in front of the current tunnel face and is not excavated is considered.
Drawings
The following detailed description of embodiments of the invention refers to the accompanying drawings in which:
FIG. 1 is a flow chart of a tunnel surrounding rock grade determination method based on multiple boreholes;
FIG. 2 is a schematic diagram of the spatial distribution of tunnel boreholes;
FIG. 3 is a schematic diagram of a tunnel mileage section drilling point and a point to be interpolated;
FIG. 4 is a flow chart of an implementation of a tunnel surrounding rock grade determination method based on multiple boreholes;
fig. 5 is a block diagram of a tunnel surrounding rock grade determination system based on multiple boreholes.
In the figure:
1-tunnel centerline; 2-palm surface; 3-blasting and drilling holes in the area without excavation; 4-excavating a tunnel area; 10-a sample data construction module; 20-a training module; 30-decision block 30.
Detailed Description
To further illustrate the features of the present invention, refer to the following detailed description of the invention and the accompanying drawings. The drawings are for reference and illustration purposes only and are not intended to limit the scope of the present disclosure.
As shown in fig. 1 and 4, the present embodiment discloses a tunnel surrounding rock grade determination method based on multiple boreholes, including the following steps S1 to S3:
s1, collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data by using the drilling parameters and the surrounding rock grades;
it should be noted that, as shown in fig. 2, in the tunnel construction, drilling parameters collected in the process of drilling a blast hole by the rock drilling jumbo are collected, the drilling parameters include impact pressure Ps, rotation pressure Pr, propulsion pressure Pa, propulsion speed Va, water pressure Pw, and water flow rate Qw, and the drilling parameters are collected once every time the drill rod drills at a certain depth. The drilling depth of the drill rod can be set according to actual needs, the depth distance can be smaller if the geological condition is complex, and can be larger if the geological condition is simple. Specifically, the drilling parameters can be set at intervals of 0.02m, so that the drilling parameters of different depths can be obtained, and the drilling parameter values of different mileage positions can be conveniently obtained later and used for calculating the interpolation point drilling parameters of the mileage section.
And recording the position, the direction and the length of the drilled hole, and simultaneously recording the corresponding tunnel face mileage, the surrounding rock grade and the surrounding rock grade change condition of the mileage of the drilled area determined after the drilling blasting excavation.
It should be noted that the grade of the surrounding rock as a sample parameter should include all grades from I to VI as much as possible, and should include at least grade II to V when limited by site conditions.
The sample number should include at least 400 sets of data, i.e., there are at least 100 sets of data for each of the II-V class surrounding rocks, and there should be at least 100 sets of data for each of the I-class or VI class surrounding rock class data.
S2, training the constructed neural network model by using the sample data to obtain a surrounding rock grade evaluation model;
and S3, processing the drilling parameters of a certain mileage by using the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
As a more preferable embodiment, as shown in fig. 3, the step S1: collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data by using the drilling parameters and the surrounding rock grades, wherein the method comprises the following subdivision steps S11-S14:
s11, collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range;
s12, calculating drilling parameters at interpolation points distributed at a specified mileage section of the tunnel according to a certain distance through an interpolation algorithm, and calculating an average value of the drilling parameters at each interpolation point;
s13, arranging the interpolation points according to a fixed sequence, and calculating the ratio of the maximum value points in the arrangement result of the drilling parameters at the interpolation points, namely the ratio R of the maximum value of the impact pressurePsMaximum number of revolution pressure values in ratio RPrMaximum number of propulsion pressure values in ratio RPaMaximum number of propulsion speed ratio RVaMaximum value of water pressure, ratio of number to number RPwMaximum water flow rate ratio RQw；
The method specifically comprises the following steps: in fig. 3, points on the broken line are interpolation points, the connection order of the broken lines is equivalent to the fixed order of each interpolation point, and the impact pressure values in the fixed order are sequentially R1 and R2.. Rn, if the ith value Ri (1< i < n) satisfies: ri > R (i-1) and Ri > R (i +1), Ri value points are counted as one maximum value point, and if the number of the maximum value points is k, the number ratio of the maximum value points is as follows: k/n.
And S14, constructing and obtaining the sample data by using the average value of drilling parameters, the number ratio of maximum values and the grade of the surrounding rock.
As a more preferable embodiment, in step S12: through an interpolation algorithm, drilling parameters at interpolation points distributed at a specified mileage section of the tunnel according to a certain distance are calculated, and an average value of the drilling parameters at each interpolation point is calculated, and the method specifically comprises the following steps:
according to the spatial position relation determined by the position, the direction and the length of each drill hole, extracting the drilling parameter values at the intersection of the cross section of the appointed mileage K and each drill hole in the current working face and the drilling mileage range;
setting interpolation points P at a certain interval in the area of the tunnel face to be excavated at the mileage KiObtaining a point P through an interpolation algorithm according to the drilling parameter values and the positions of the intersection points of the mileage section and the drill holesiThe interpolation result of the drilling parameters; the interval set by the interpolation points can be set according to actual conditions, if the geological conditions are too complex, the interval can be set to be smaller, and otherwise, the interval is set to be larger. It may take 1 m. The method has the advantages that the drilling parameters of the whole face area are obtained, and the evaluation result of the surrounding rock grade of the whole face is conveniently analyzed.
Calculating each interpolation point PiAverage value of drilling parameters, including percussion pressure average value
Mean value of revolution pressure
Mean value of propulsion pressure
Mean value of propulsion speed
Average value of water pressure
Average water flow
It should be noted that the drilling parameter interpolation point PiThe number is not less than 20 points, and the points are evenly distributed in each mileage cross section area corresponding to the drilling face.
As a more preferable embodiment, in step S3: processing the drilling parameters of a certain mileage by using a surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage, wherein the surrounding rock grade comprises the following steps:
calculating the drilling parameters at the interpolation points distributed at a certain interval at the section of the certain mileage through an interpolation algorithm to obtain the average value of the drilling parameters at each interpolation point of the certain mileage;
arranging all interpolation points of the certain mileage according to a fixed sequence, and calculating the number ratio of the maximum value points in the arrangement result of the drilling parameters at all interpolation points;
and taking the ratio of the average value of the drilling parameters at each interpolation point of the certain mileage to the number of the maximum value points as the input of the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
It should be noted that, at a certain tunnel mileage where the surrounding rock grade needs to be analyzed, drilling parameters of the drilling holes at the mileage are collected according to the method of step S1, input parameters of the specified mileage, that is, the average value of the drilling parameters at each interpolation point and the ratio of the number of the maximum value points in the arrangement results of the drilling parameters at each interpolation point are obtained through data processing, the input parameters are input into the surrounding rock grade evaluation model, and a surrounding rock grade determination result is automatically obtained.
As shown in fig. 5, the present embodiment discloses a tunnel surrounding rock grade determination system based on multiple boreholes, including: sample data construction module 10, training module 20 and decision module 30, wherein:
the sample data construction module 10 is used for collecting drilling parameters in the drilling process and surrounding rock grades in a drilling process range, and constructing sample data by using the drilling parameters and the surrounding rock grades;
the training module 20 is used for training the constructed neural network model by using the sample data to obtain a surrounding rock grade evaluation model;
the decision module 30 is configured to process the drilling parameters of a certain mileage by using the surrounding rock grade evaluation model to obtain a surrounding rock grade of the certain mileage.
As a further preferable embodiment, the drilling parameters include the impact pressure Ps, the rotation pressure Pr, the thrust pressure Pa, the thrust speed Va, the water pressure Pw, and the water flow rate Qw.
As a further preferred technical solution, the sample data construction module 10 includes an acquisition unit, an interpolation calculation unit, a maximum value number ratio calculation unit, and a construction unit, wherein:
the acquisition unit is used for acquiring drilling parameters in the drilling process and surrounding rock grades in the drilling process range;
the interpolation calculation unit is used for calculating drilling parameters at interpolation points distributed at a specified mileage section of the tunnel according to a certain distance through an interpolation algorithm and calculating the average value of the drilling parameters at each interpolation point;
the maximum value number ratio calculation unit is used for arranging all interpolation points according to a fixed sequence and calculating the maximum value number ratio in the drilling parameter arrangement result at all the interpolation points;
and the construction unit is used for constructing and obtaining the sample data by utilizing the average value of drilling parameters, the number proportion of maximum values and the grade of the surrounding rock.
As a further preferred technical solution, the interpolation calculation unit includes an extraction subunit, an interpolation result calculation subunit, and an average value calculation subunit, wherein:
the extraction subunit is used for extracting drilling parameter values at intersection points of the cross section at the specified mileage K and each drill hole in the mileage range where the drill holes are located;
the interpolation result calculation subunit is used for setting interpolation points P at certain intervals in the area of the tunnel face to be excavated at the mileage KiObtaining a point P through an interpolation algorithm according to the drilling parameter values and the positions of the intersection points of the mileage section and the drill holesiThe interpolation result of the drilling parameters;
the average value operator unit is used for calculating each interpolation point PiAverage value of drilling parameters, including percussion pressure average value
Mean value of revolution pressure
Pressure of propulsionMean value of
Mean value of propulsion speed
Average value of water pressure
Average water flow
As a further preferred technical solution, the determination module 30 includes a first data processing unit, a second data processing unit and a determination unit, wherein:
the first data processing unit is used for calculating the drilling parameters at interpolation points distributed at a certain interval on the section of a certain mileage through an interpolation algorithm to obtain the average value of the drilling parameters at each interpolation point of the certain mileage;
the second data processing unit is used for arranging the interpolation points of the certain mileage according to a fixed sequence and calculating the number ratio of the maximum value points in the arrangement result of the drilling parameters at the interpolation points;
and the judging unit is used for taking the ratio of the average value of the drilling parameters at each interpolation point of the certain mileage to the number of the maximum value points as the input of the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A tunnel surrounding rock grade judging method based on multiple drill holes is characterized by comprising the following steps:
collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data according to the drilling parameters and the surrounding rock grades;
training the constructed neural network model by using the sample data to obtain a surrounding rock grade evaluation model;
processing the drilling parameters of a certain mileage by using a surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage;
the drilling parameters comprise impact pressure Ps, rotation pressure Pr, propelling pressure Pa, propelling speed Va, water pressure Pw and water flow Qw;
the method for acquiring the drilling parameters and the surrounding rock grade in the drilling process range and constructing sample data by using the drilling parameters and the surrounding rock grade comprises the following steps:
collecting drilling parameters in the drilling process and surrounding rock grades in the drilling process range;
calculating drilling parameters at interpolation points distributed at a specified mileage section of the tunnel according to a certain distance through an interpolation algorithm, and calculating an average value of the drilling parameters at each interpolation point;
arranging all interpolation points according to a fixed sequence, and calculating the number ratio of the maximum value points in the drilling parameter arrangement result at all interpolation points;
and constructing and obtaining the sample data by using the average value of drilling parameters, the number ratio of maximum values and the grade of the surrounding rock.
2. The method for judging the grade of the tunnel surrounding rock based on the multiple drill holes as claimed in claim 1, wherein the calculating the drilling parameters at the interpolation points distributed according to a certain interval at the appointed mileage section of the tunnel and the calculating the average value of the drilling parameters at each interpolation point by an interpolation algorithm comprises:
extracting drilling parameter values at the intersection of the cross section of the specified mileage K and each drill hole within the mileage range of the drill hole;
setting interpolation points P at a certain interval in the area of the tunnel face to be excavated at the mileage KiObtaining a point P by interpolation algorithm according to the drilling parameter value and the position of the mileage section and each drill hole intersection pointiThe interpolation result of the drilling parameters;
calculating each interpolation point PiAverage value of drilling parameters, including average value of percussion pressure
Mean value of revolution pressure
Mean value of propulsion pressure
Mean value of propulsion speed
Average value of water pressure
Average water flow
3. The method for judging the surrounding rock grade of the tunnel based on the multiple drill holes as claimed in claim 1, wherein the step of processing the drilling parameters of a certain mileage by using a surrounding rock grade evaluation model to obtain the surrounding rock grade of a certain mileage comprises the following steps:
calculating the drilling parameters at the interpolation points distributed at a certain interval at the section of the certain mileage through an interpolation algorithm to obtain the average value of the drilling parameters at each interpolation point of the certain mileage;
arranging all interpolation points of the certain mileage according to a fixed sequence, and calculating the number ratio of the maximum value points in the arrangement result of the drilling parameters at all interpolation points;
and taking the ratio of the average value of the drilling parameters at each interpolation point of the certain mileage to the number of the maximum value points as the input of the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
4. The utility model provides a tunnel country rock grade decision-making system based on many drilling, its characterized in that includes: sample data construction module, training module and decision module, wherein:
the sample data construction module is used for acquiring drilling parameters in the drilling process and surrounding rock grades in the drilling process range, and constructing sample data by using the drilling parameters and the surrounding rock grades;
the training module is used for training the constructed neural network model by using the sample data to obtain a surrounding rock grade evaluation model;
the judging module is used for processing the drilling parameters of a certain mileage by using a surrounding rock grade evaluating model to obtain the surrounding rock grade of the certain mileage;
the drilling parameters comprise impact pressure Ps, rotation pressure Pr, propelling pressure Pa, propelling speed Va, water pressure Pw and water flow Qw;
the sample data construction module comprises an acquisition unit, an interpolation calculation unit, a maximum value number ratio calculation unit and a construction unit, wherein:
the acquisition unit is used for acquiring drilling parameters in the drilling process and surrounding rock grades in the drilling process range;
the interpolation calculation unit is used for calculating drilling parameters at interpolation points distributed at a specified mileage section of the tunnel according to a certain distance through an interpolation algorithm and calculating the average value of the drilling parameters at each interpolation point;
the maximum value number ratio calculation unit is used for arranging all interpolation points according to a fixed sequence and calculating the maximum value number ratio in the drilling parameter arrangement result at all the interpolation points;
and the construction unit is used for constructing and obtaining the sample data by utilizing the average value of drilling parameters, the number proportion of maximum values and the grade of the surrounding rock.
5. The multi-borehole based tunnel wall rock grade determination system of claim 4, wherein the interpolation calculation unit comprises an extraction subunit, an interpolation result calculation subunit, and an average value calculation subunit, wherein:
the extraction subunit is used for extracting drilling parameter values at intersection points of the cross section at the specified mileage K and each drill hole in the mileage range where the drill holes are located;
the interpolation result calculation subunit is used for setting interpolation points P at certain intervals in the area of the tunnel face to be excavated at the mileage KiObtaining a point P through an interpolation algorithm according to the drilling parameter values and the positions of the intersection points of the mileage section and the drill holesiThe interpolation result of the drilling parameters;
the average value operator unit is used for calculating each interpolation point PiAverage value of drilling parameters, including percussion pressure average value
Mean value of revolution pressure
Mean value of propulsive pressure
Mean value of propulsion speed
Average value of water pressure
Mean value of water flow
6. The multi-borehole based tunnel wall rock grade determination system of claim 4, wherein the determination module comprises a first data processing unit, a second data processing unit, and a determination unit, wherein:
the first data processing unit is used for calculating the drilling parameters at interpolation points distributed at a certain interval on the section of a certain mileage through an interpolation algorithm to obtain the average value of the drilling parameters at each interpolation point of the certain mileage;
the second data processing unit is used for arranging the interpolation points of the certain mileage according to a fixed sequence and calculating the number ratio of the maximum value points in the arrangement result of the drilling parameters at the interpolation points;
and the judging unit is used for taking the ratio of the average value of the drilling parameters at each interpolation point of the certain mileage to the number of the maximum value points as the input of the surrounding rock grade evaluation model to obtain the surrounding rock grade of the certain mileage.
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| CN116975623B (en) * | 2023-05-04 | 2024-01-30 | 西南交通大学 | Method, device and medium for predicting large deformation grade in tunnel construction stage by drilling and blasting method |
| CN117112999B (en) * | 2023-07-24 | 2024-03-29 | 西南交通大学 | Drilling parameter standardized cleaning method and device based on dynamic linear piecewise representation |
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