CN112761524B - Intelligent drill boom of drill jumbo and rock mass quality detection and evaluation method - Google Patents
Intelligent drill boom of drill jumbo and rock mass quality detection and evaluation method Download PDFInfo
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- 239000011435 rock Substances 0.000 title claims abstract description 149
- 238000011156 evaluation Methods 0.000 title claims abstract description 22
- 238000001514 detection method Methods 0.000 title claims abstract description 19
- 238000005553 drilling Methods 0.000 claims abstract description 200
- 238000000034 method Methods 0.000 claims abstract description 61
- 230000008569 process Effects 0.000 claims abstract description 49
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000006073 displacement reaction Methods 0.000 claims description 23
- 238000005265 energy consumption Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000007405 data analysis Methods 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 238000000611 regression analysis Methods 0.000 claims description 4
- 238000009527 percussion Methods 0.000 claims 1
- 238000010276 construction Methods 0.000 abstract description 13
- 238000005422 blasting Methods 0.000 abstract description 7
- 230000004044 response Effects 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000004364 calculation method Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
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- 238000005457 optimization Methods 0.000 description 2
- 238000013441 quality evaluation Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 239000002893 slag Substances 0.000 description 2
- 229910000838 Al alloy Inorganic materials 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007600 charging Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B7/00—Special methods or apparatus for drilling
- E21B7/04—Directional drilling
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B45/00—Measuring the drilling time or rate of penetration
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/06—Measuring temperature or pressure
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B7/00—Special methods or apparatus for drilling
- E21B7/02—Drilling rigs characterised by means for land transport with their own drive, e.g. skid mounting or wheel mounting
- E21B7/025—Rock drills, i.e. jumbo drills
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D9/00—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
- E21D9/006—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries by making use of blasting methods
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D9/00—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
- E21D9/10—Making by using boring or cutting machines
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Abstract
The invention belongs to the technical field of tunnel construction equipment. An intelligent drill boom of a drill jumbo comprises a push beam, a drilling assembly, a hydraulic system, a sensor and a data acquisition and processing system, wherein the drilling assembly is arranged on the push beam and moves back and forth along the push beam; the hydraulic system is connected with the drilling assembly and drives the drilling assembly to act; the sensors are arranged on the propelling beam, the drilling assembly and the hydraulic system and used for detecting data information in the drilling process; the data acquisition and processing system is used for recording data information of the sensor, and processing and displaying the data. A rock mass quality detection and evaluation method is also disclosed. The method can record the drilling tool response parameters in the rock drilling process in real time by depending on the intelligent drilling jumbo drilling arm, and evaluate the quality of the rock mass in front of the working face, thereby realizing the high-efficiency and convenient intelligent drilling technology and the urgent need of drilling and blasting method construction for tunnels and underground engineering for quality acquisition.
Description
Technical Field
The invention belongs to the technical field of tunnel construction equipment, and particularly relates to an intelligent drill boom of a drill jumbo and a rock mass quality detection and evaluation method.
Background
In tunnel construction, the drilling and blasting method is a main selection method for excavating large-section tunnels due to the characteristics of strong applicability, economy and reliability. The drilling and blasting construction method can be divided into five main processes of face drilling, charging and blasting, slag discharging, erecting and wet blasting, wherein in the whole construction, the drilling is the first step, the rock mass property in front of the face is particularly important to obtain in the drilling process, and the specific implementation process and parameter optimization of the subsequent construction are determined to a great extent. In the construction process of tunnels and underground engineering, the rock sample parameters are usually measured through various indoor tests after on-site sampling, and then the quality of the rock mass in front of the tunnel is comprehensively analyzed and judged. The method is difficult to ensure the rapidity of the result obtained by the indoor test to a certain extent, and is more difficult to ensure the identity of the indoor environment and the site construction condition.
In the prior art, most tests are sampling tests, and the same effective result as a field can not be obtained, so that the data reliability is not high; although field data collection also exists, the collected data are disordered and have poor continuity, and the analysis and evaluation methods are unreasonable, which all cause great uncertainty in subsequent rock mass quality evaluation, have small guidance effect on subsequent construction operation, and often cannot realize further optimization.
Disclosure of Invention
The invention aims to solve the problems and the defects, provides the intelligent drill boom of the rock drilling jumbo and the rock mass quality detection and evaluation method, has reasonable structural design, can record the response parameters of a drilling tool in the rock drilling process in real time by depending on the intelligent drill boom of the rock drilling jumbo, and evaluates the rock mass quality in front of a tunnel face, thereby realizing the high-efficiency and convenient intelligent drilling technology and the urgent need of drilling and blasting construction of tunnels and underground engineering for quality acquisition.
In order to realize the purpose, the adopted technical scheme is as follows:
a rock drilling rig intelligent boom comprising:
a feed beam;
the drilling assembly is arranged on the propelling beam and moves back and forth along the propelling beam;
the hydraulic system is connected with the drilling assembly and drives the drilling assembly to act;
the sensors are arranged on the propelling beam, the drilling assembly and the hydraulic system and are used for detecting data information in the drilling process; and
and the data acquisition and processing system is used for recording the data information of the sensor and processing and displaying the data.
According to the intelligent drill boom of the rock drilling rig of the invention, preferably, the feed beam comprises:
the beam body is provided with a guide rail;
the rock drill supporting plate, the front drill clamping device supporting plate and the middle drill supporting device supporting plate are matched and slidably arranged on the guide rail;
a front guard plate provided at a front end of the beam body; and
and the tail guard plate is arranged at the rear end of the beam body.
According to the intelligent drill boom of the rock drilling rig of the invention, preferably, the drilling assembly comprises:
the rock drill is arranged on the propelling beam in a sliding support mode;
the drill rod is arranged at the output end of the rock drill and drives the drill rod to act, and the drill rod is supported and arranged on the propelling beam through a front drill clamp and a middle drill support;
a drill bit provided at a tip of the drill rod; and
and a propulsion drive unit that drives the rock drill to move along the feed beam.
According to the intelligent drill boom of the rock drilling rig of the invention, preferably, the hydraulic system comprises:
a hydraulic conduit for connecting the hydraulic pump and the drilling assembly; and
and the hydraulic pipe roller is arranged on the propelling beam and used for stretching the hydraulic pipeline when the drilling assembly moves back and forth.
According to the intelligent drill boom of the rock drilling rig of the invention, preferably, the sensor comprises:
the impact pressure sensor is used for detecting impact pressure in the rock breaking process;
the propelling pressure sensor is used for detecting propelling pressure in the rock breaking process;
the rotary pressure sensor is used for detecting the thrust in the rotary process of the drilling assembly;
a buffer pressure sensor for detecting a buffer force of the drilling assembly;
a rotational flow sensor for detecting a rotational speed of the drilling assembly; and
a displacement sensor for detecting displacement of the drilling assembly over different periods of time.
According to the intelligent drill boom of the rock drilling rig of the invention, preferably, the data acquisition and processing system comprises:
the data acquisition processor is used for acquiring and processing data information; and
a data display for display of the operating parameter.
A rock mass quality detection and evaluation method is used for performing rock mass quality detection and evaluation on the basis of a drill jumbo comprising the intelligent drill boom of the drill jumbo, and specifically comprises the following steps:
s1, drilling a rock body through the drill jumbo, and collecting and storing data information;
s2, dividing the data information according to the drilling depth to obtain drilling data of different depths;
and S3, constructing a mapping relation with the rock mass quality based on the obtained drilling data, and analyzing and evaluating the rock mass quality.
According to the rock mass quality detection and evaluation method of the present invention, preferably, in step S1, the data information includes an impact pressure parameter, a thrust pressure parameter, a gyration pressure parameter, a buffer pressure parameter, a rotation speed parameter and a drilling speed parameter of the drill jumbo;
in step S2, data analysis is performed on the continuous data information, the effective data information is spliced based on the drilling displacement of the drill jumbo, and each effective drilling depth and the corresponding effective parameter value are obtained to obtain drilling data of different depths.
According to the rock mass quality detection and evaluation method of the invention, preferably, in step S3, the characteristic parameters of the drilling energy consumption per unit volume EDP and the drilling process index DPI are obtained according to the drilling data, so as to obtain the rock mass parameters of the uniaxial compressive strength UCS and the integrity coefficient Kv, and the regression analysis model is used to perform the correlation model analysis of the characteristic parameters and the rock mass parameters, so as to evaluate the rock mass quality in the drilling process;
wherein,
in the formula: EDP unit is MJ/m3(ii) a N is the rotating speed of the drill rod, rev/sec; p is drilling oil pressure, MPa; v is the drilling speed, mm/sec; a is the fitting coefficient of pressure and torque, 10-3m3(ii) a b is the fitting coefficient of pressure and drilling oil pressure, 10-3m3(ii) a c is a fitting coefficient of impact pressure and pushing pressure, N.m; r is the radius of the drill bit, mm;
DPI＝d·V·(b·P)-0.5·N-0.5in the formula: DPI is a dimensionless parameter; n is the rotating speed of the drill rod, rev/sec; p is drilling oil pressure, MPa; v is the drilling speed, mm/sec; b is a fitting coefficient of pressure and drilling oil pressure; d is the DPI influence coefficient;
UCS＝e·(EDP)fin the formula, the uniaxial compressive strength of UCS rock mass is MPa; e is a UCS influence coefficient; f is UCS and EDP curve index;
Kvg (DPI-h) + k, wherein: g. h and k are fitting coefficients.
According to the rock mass quality detection and evaluation method, the method preferably further comprises the step S4 of repeating the steps S1-S3, realizing multi-point continuous rock drilling and intelligently analyzing the quality of the rock mass.
By adopting the technical scheme, the beneficial effects are as follows:
compared with the prior art, the method has the advantages that the intelligent drill boom of the drill jumbo is used for realizing digital and automatic monitoring of the response characteristics of the drilling tool in the drilling process, the rock mass quality evaluation is completed under the condition that no additional engineering quantity is added, and the method is efficient and economical; the digital display screen can display the mechanical parameters (such as impact pressure, rotary pressure, buffer pressure and rotary flow) of the drill arm rock drill, the indexes of the drilling process (such as drilling energy consumption per unit volume and drilling process index) and the quality of rock mass (such as uniaxial compressive strength and integrity coefficient), and realizes the parameter visualization of the drilling process; the cost for carrying out rock mass quality detection is far lower than that of the traditional large-scale equipment for carrying out rock mass mechanical property test, and an evaluation result can be quickly given on an engineering site.
This application can be more convenient for acquire continuous data information in drilling process in real time through arranging of sensor to the continuity record, the orderly distribution of data is realized to the cooperation drilling degree of depth, thereby the subsequent processing of data information of being convenient for, draws effectual data and carries out corresponding calculation and the evaluation of drilling process index and rock mass quality. By further optimizing the analysis and evaluation method, the real-time performance and effectiveness of the evaluation result of the rock mass quality can be improved by combining the real-time acquired continuous data information.
This application monitors the machines response parameter of drill jumbo drill boom at broken rock in-process through digital sensor, carries out correlation analysis with the rock mass quality, can establish the mapping relation of rock mass quality and drill jumbo drill boom mechanics response parameter (impact pressure, propulsion pressure, gyration pressure, buffer pressure and rotatory flow etc.) to can be fast, accurate, judge rock mass engineering characteristic, can provide technical support for tunnel construction's surpass owe to dig, safety, high efficiency and stable control. Under the background of the era of 5G technology, Internet of things and big data, the drilling arm of the rock drilling jumbo is used for acquiring the quality of a rock mass while drilling construction is carried out, and the rock drilling jumbo has important theoretical and practical significance for promoting the digital and intelligent development of drilling.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly described below. Wherein the drawings are only for purposes of illustrating some embodiments of the invention and are not to be construed as limiting the invention to all embodiments thereof.
Fig. 1 is a schematic diagram of the general assembly structure of the intelligent drill boom of the rock drilling rig according to the embodiment of the invention.
Fig. 2 is a schematic diagram of an elevation structure of an intelligent drill boom of a rock drilling rig according to an embodiment of the invention.
Fig. 3 is a schematic view of a top view of an intelligent drilling boom of a rock drilling rig according to an embodiment of the invention.
Fig. 4 is a schematic structural diagram of a drilling assembly in an intelligent drill boom of a rock-drilling rig according to an embodiment of the invention.
Fig. 5 is a schematic view of the structure of a feed beam in an intelligent boom of a rock drilling rig according to an embodiment of the invention.
Fig. 6 is a diagram of a hydraulic, sensor, digital monitoring system in a smart boom of a rock drilling rig according to an embodiment of the present invention.
Fig. 7 is a graph of drilling energy consumption per unit volume for an example application in accordance with an embodiment of the present invention.
FIG. 8 is an exponential graph of an example drilling process according to an embodiment of the present invention.
FIG. 9 is a graph of uniaxial compressive strength of rock mass according to an example of application of the embodiment of the invention.
Number in the figure:
1-a drill rod; 2-a drill bit; 3-a rock drill; 4-hydraulic tube drum; 5-a rock drilling platform bracket; 6-a propeller; 7-a push rod; 8-a guide rail; 9-front drill rod clamping device; 10-a middle drill rod supporting device; 11-a beam body; 12-a rock drill pallet; 13-rock drill pallet slide; 14-a middle drill supporting plate; 15-a supporting plate sliding block of the middle drill rod supporting device; 16-front drill holder pallet; 17-front drill rod clamping device supporting plate slide block; 18-tail guard board; 19-front guard plate; 20-a link; 21-impact pressure sensor; 22-a boost pressure sensor; 23-a rotary pressure sensor; 24-a buffer pressure sensor; 25-a rotary flow sensor; 26-a back up sensor; 27-a displacement sensor; 28-a displacement sensor target; 29-hydraulic piping; 30-hydraulic pipe interface; 31-a data acquisition processor; 32-data display.
Detailed Description
Illustrative aspects of embodiments of the invention are described more fully hereinafter with reference to the accompanying drawings, in which specific embodiments of the invention are shown. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art.
It should be noted that when an element is referred to as being "connected," "coupled," or "connected" to another element, it can be directly connected, coupled, or connected, but it is understood that intervening elements may be present therebetween; i.e., positional relationships encompassing both direct and indirect connections.
It should be noted that the use of the terms "a" or "an" and the like do not necessarily denote a limitation of quantity. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items.
It should be noted that terms indicating orientation or positional relationship such as "upper", "lower", "left", "right", and the like, are used only for indicating relative positional relationship, which is for convenience in describing the present invention, and do not indicate that the device or element must have a specific orientation, be constructed and operated in a specific orientation; when the absolute position of the object to be described is changed, the relative positional relationship may also be changed accordingly.
Referring to fig. 1-6, the application discloses an intelligent drill boom of a drill jumbo, which comprises a propelling beam, a drilling assembly, a hydraulic system, a sensor and a data acquisition and processing system, wherein the drilling assembly is arranged on the propelling beam and moves back and forth along the propelling beam; the hydraulic system is connected with the drilling assembly and drives the drilling assembly to act; the sensors are arranged on the propelling beam, the drilling assembly and the hydraulic system and are used for detecting data information in the drilling process; the data acquisition and processing system is used for recording the data information of the sensor and processing and displaying the data.
Further, the propelling beam in the embodiment comprises a beam body 11, a front guard plate 19, a tail guard plate 18, a rock drill supporting plate 12, a front drill clamping supporting plate 16 and a middle drill supporting plate 14 which are matched and slidably arranged on the beam body 11, wherein the beam body 11 is an aluminum alloy beam, the beam body 11 is used for supporting a drilling assembly and bearing a reverse acting force in the working process of the drilling assembly, a link 20 used for being connected with a rock drilling trolley is arranged at the lower part of the beam body 11, a guide rail 8 is arranged on the beam body 11, and the rock drill supporting plate 12, the front drill clamping supporting plate 16 and the middle drill supporting plate 14 are respectively slidably arranged on the guide rail 8 through a rock drill supporting plate sliding block 13, a front drill clamping sliding block 17 and a middle drill supporting plate sliding block 15; the front guard plate 19 is arranged at the front end of the beam body 11; a tail guard 18 is provided at the rear end of the beam body 11. The front guard 19 and the rear guard 18 can limit the maximum displacement of the drilling assembly to move back and forth, thereby improving the safety of the structure.
The drilling assembly comprises a rock drill 3, a drill rod 1, a drill bit 2 and a propelling driving part, wherein the rock drill 3 is arranged on a propelling beam through a rock drill supporting plate 12 and a sliding block arranged at the lower part in a sliding support manner; the drill rod 1 is arranged at the output end of the rock drill 3, the rock drill 3 drives the drill rod 1 to move, and the drill rod 1 is supported and arranged on the propelling beam through a front drill clamp 9 and a middle drill support 10; the drill bit 2 is arranged at the front end of the drill rod 1; the propulsion drive drives the rock drill 3 along the feed beam. In the working process, the propulsion driving part generates propulsion thrust to the rock drill to realize the forward and backward movement on the guide rail. The propulsion drive comprises a propeller 6 and a propulsion shaft 7 as shown in the figure. Which is actuated by a hydraulic drive. Or other forms of power may be used as appropriate.
The hydraulic system comprises a hydraulic pipeline 29 and a hydraulic pipe roller 4, wherein the hydraulic pipeline 29 is used for connecting the hydraulic pump and the drilling assembly; a hydraulic tube drum 4 is provided on the feed beam, the hydraulic tube drum 4 being used to telescope the hydraulic line 29 when the drilling assembly is moved to and fro. Specifically, the hydraulic pipeline 29 is a pressure pipeline for providing an acting force in the rock breaking process of the rock drilling machine 3, and a hydraulic pipeline interface 30 may be provided at an outer end of the hydraulic pipeline 29 so as to be connected to a hydraulic pump, perform hydraulic input, and provide impact pressure, propulsion pressure, rotation pressure, buffer pressure, swirl flow and the like.
The sensors comprise an impact pressure sensor 21, a propulsion pressure sensor 22, a rotary pressure sensor 23, a buffer pressure sensor 24, a rotary flow sensor 25 and a displacement sensor 27, and a standby sensor 26 is further arranged, wherein the standby sensor 26 is used when the sensors are in failure, and the impact pressure sensor 21 is used for detecting impact pressure in a rock breaking process; the propulsion pressure sensor 22 is used for detecting the propulsion pressure in the rock breaking process; the rotary pressure sensor 23 is used for detecting the thrust in the rotary process of the drilling assembly; the buffer pressure sensor 24 is used for detecting the buffer force of the drilling assembly; a rotary flow sensor 25 for detecting the rotational speed of the drilling assembly; the displacement sensor 27 is arranged to detect displacements of the drilling assembly over different periods of time, in particular, the equipment for measuring displacements of the rock drill 3 at different times, by emitting laser light which is received by the displacement sensor target 28 for displacement measurement.
The data acquisition and processing system comprises a data acquisition and processing instrument 31 and a data display 32, wherein the data acquisition and processing instrument 31 is used for acquiring and processing data information; the data display 32 is used for the display of operating parameters. Specifically, the data acquisition processor 31 is a device for recording sensor measurement values, and displays the data through the data display 32. The data display 32 mainly displays the operation parameters of the rock drilling process, including the monitoring values of the impact pressure sensor, the propulsion pressure sensor, the rotary pressure sensor, the buffer pressure sensor, the rotary flow sensor, the displacement sensor and the like, and calculates corresponding drilling calculation indexes and rock parameters through a built-in core algorithm, and displays the rock parameter values.
Referring to fig. 1 to 9, the application also discloses a rock mass quality detection and evaluation method, which is based on the drill jumbo comprising the intelligent drill boom of the drill jumbo to detect and evaluate the rock mass quality and specifically comprises the following steps:
s1, drilling a rock body through the drill jumbo, and collecting and storing data information, wherein the data information comprises an impact pressure parameter, a propulsion pressure parameter, a rotary pressure parameter, a buffer pressure parameter, a rotating speed parameter and a drilling speed parameter of the drill jumbo;
s2, dividing the data information according to the drilling depth to obtain the drilling data of different depths, specifically, performing data analysis on continuous data information, splicing effective data information based on the drilling displacement of the drill jumbo, and obtaining each effective drilling depth and the corresponding effective parameter value to obtain the drilling data of different depths;
s3, constructing a mapping relation with the rock mass quality based on the obtained drilling data, and analyzing and evaluating the rock mass quality; acquiring characteristic parameters of drilling energy consumption EDP and drilling process index DPI in unit volume according to drilling data, further acquiring rock parameters of single-axis compressive strength UCS and integrity coefficient Kv, performing correlation model analysis of the characteristic parameters and the rock parameters by using a regression analysis model, and evaluating the rock mass quality in the drilling process;
wherein,
in the formula: n is the rotating speed of the drill rod; p is drilling oil pressure; v is the drilling speed; a is a fitting coefficient of pressure and torque; b is a fitting coefficient of pressure and drilling oil pressure; c is a fitting coefficient of impact pressure and pushing pressure; r is the drill radius;
DPI＝d·V·(b·P)-0.5·N-0.5in the formula: n is the rotating speed c of the drill rod; p is drilling oil pressure; v is the drilling speed; b is a fitting coefficient of pressure and drilling oil pressure; d is the comprehensive influence coefficient;
UCS＝e·(EDP)fin the formula: e is a fitting coefficient; f is a fitting index;
Kvg (DPI-h) + k, wherein: g. h and k are fitting coefficients.
In order to enable the detection to be more accurate, systematization of data can be carried out based on the whole tunnel face, comprehensive overall analysis of the quality of the rock mass is more facilitated, the method further comprises the step S4 of repeating the steps S1-S3, multi-point continuous rock drilling is achieved, and intelligent analysis is carried out on the quality of the rock mass.
During the specific work, the whole detection evaluation method is further explained by combining the working principle of the drill jumbo:
z1: resetting the system: the hydraulic system is controlled to be contracted through the hydraulic pipeline interface 30, dragging force is generated on the propeller 6 and the propulsion rod 7, the rock drill 3 is integrally dragged to the tail guard plate 18 through the guide rail 8, at the moment, the drill rod 1 is contracted from the front drill rod clamping device 9, and the numerical value of the displacement sensor 24 is initialized.
Z2: drilling: the method comprises the steps of enabling a drill bit 2 to be in contact with a rock wall, starting an external hydraulic pump, inputting hydraulic flow through a hydraulic pipeline interface 30, distributing the hydraulic flow in an impact pressure hydraulic pipeline, a propulsion pressure hydraulic pipeline, a rotary pressure hydraulic pipeline, a buffer pressure hydraulic pipeline, a rotary flow hydraulic pipeline and the like, generating impact pressure, rotary pressure, buffer pressure and rotary flow in a rock drilling machine 3, enabling a propeller 6 to generate thrust through a propulsion rod 7 under the condition that a rock mass is broken, enabling a front drill clamp supporting plate 16 and a middle drill support supporting plate 14 fixed on the propulsion rod 7 to drive a drill rod 1 to step on a front drill clamp supporting plate sliding block 17 and a middle drill support supporting plate sliding block 15, measuring various pressure values through an impact pressure sensor 21, a propulsion pressure sensor 22, a rotary pressure sensor 23, a buffer pressure sensor 24 and a rotary flow sensor 25, and achieving digital parameter acquisition in the rock drilling process. Under the action of various pressures, the drilling system starts to drill rock, the stepping of the rock drill is realized through the guide rail 8, the hydraulic pipe roller 4 releases the hydraulic pipeline 29 in the process, the displacement sensor 27 emits laser to the displacement sensor target 28, the acquisition of displacement information of the rock drill at different moments is realized, and the real-time rock drilling speed is calculated based on the displacement information.
Z3: and (3) data analysis: and for the drilling process information monitored in real time, continuous drilling data are divided through a data analysis system, effective drilling data are spliced based on data of the displacement sensor 27, effective drilling depths and various effective pressure values corresponding to the depths are calculated, and drilling data of different depths are obtained.
Z4: rock mass analysis: according to the rock drilling depth calculation result obtained by Z3, calculating characteristic parameters (unit volume drilling energy consumption EDP and drilling process index DPI), and performing characteristic parameters and rock parameters (uniaxial compressive strength UCS and integrity coefficient K) by using a regression analysis modelv) And analyzing the correlation model, and then evaluating the rock mass quality of the rock drilling process according to the current standard.
Z5: and (5) contracting the drill rod. After drilling and excavating are finished, the propeller 6 and the push rod 7 generate dragging force, so that the drill rod 1 is contracted, and a working space is provided for subsequent slag removal and blasting excavation.
Z6: and repeating Z1-Z5 for a new rock drilling process, so as to realize continuous rock drilling and intelligently analyze the quality of the rock mass.
The rock mass quality analysis method comprises the steps of firstly calculating drilling indexes such as unit volume drilling energy consumption EDP, drilling process index DPI and the like according to parameters such as drill rod rotating speed, drilling oil pressure, drilling speed, torque and pressure recorded in the drilling process, and then carrying out rock mass parameters such as uniaxial compressive strength UCS and integrity coefficient K on the basisvAnd then, evaluating the rock mass quality according to the current standard. FIG. 7 is EDP graph showing drilling energy consumption per unit volume of an example of application of the present invention; FIG. 8 is a DPI graph illustrating an example of the application of the present invention; FIG. 9 is a graph of the rock uniaxial compressive strength UCS of an application example of the invention. A large number of tests are carried out in the calculation process of each parameter to obtain a correlation calculation model of the rock drilling parameter and the rock mass parameter, the values of the parameters a, b, c, d, e and f in the embodiment can be shown in the figure, and the values of g, h and k are shown in table 1; for different drilling jumbo equipment, the parameter values can also be corrected by combining test data and experience. As follows:
(1) unit volume drilling energy consumption EDP: the mechanical response parameters of the rock drilling process collected by the sensor are utilized, and the correlation coefficients such as a pressure and torque fitting coefficient, a pressure and drilling oil pressure fitting coefficient, an impact pressure and propelling pressure fitting coefficient and the like are considered, and the radius of the drill bit of the equipment is utilized to calculate by using a formula (1).
In the formula: EDP unit is MJ/m3(ii) a N is the rotating speed of the drill rod, rev/sec; p is drilling oil pressure, MPa; v is the drilling speed, mm/sec; a is the fitting coefficient of pressure and torque, 10-3m3(ii) a b is the fitting coefficient of pressure and drilling oil pressure, 10-3m3(ii) a c is a fitting coefficient of impact pressure and pushing pressure, N.m; r is the drill radius, mm.
(2) Drilling process index DPI: calculated using equation (2).
DPI＝d·V·(b·P)-0.5·N-0.5 (2)
In the formula: DPI is a dimensionless parameter; n is the rotating speed of the drill rod, rev/sec; p is drilling oil pressure, MPa; v is the drilling speed, mm/sec; b is a fitting coefficient of pressure and drilling oil pressure; d is the overall influence coefficient.
(3) Uniaxial compressive strength UCS of rock mass: calculating EDP according to unit volume drilling energy consumption, and comprehensively calculating by considering fitting coefficients, as shown in formula (3):
UCS＝e·(EDP)f (3)
in the formula, the uniaxial compressive strength of UCS rock mass is MPa; e is a UCS influence coefficient; f is UCS and EDP curve index; EDP is the drilling energy consumption per unit volume and is calculated according to the formula (1).
(4) Integrity coefficient of rock mass Kv: calculated from the drilling process index DPI in combination with a specific coefficient, as shown in equation (4):
Kv＝g·(DPI-h)+k (4)
in the formula, the DPI is a drilling process index and is calculated by the method shown in the formula (2); g. h and K are fitting coefficients according to DPI and KvThe three parameters are respectively different values, as shown in the table 1 of values of rock integrity calculation parameters.
TABLE 1 rock integrity calculation parameter value-taking table
While the preferred embodiments for carrying out the invention have been described in detail, it should be understood that they have been presented by way of example only, and not limitation as to the scope, applicability, or configuration of the invention in any way. The scope of the invention is defined by the appended claims and equivalents thereof. Many modifications may be made to the foregoing embodiments by those skilled in the art, which modifications are within the scope of the present invention.
Claims (9)
1. A rock drilling rig intelligent boom, comprising:
a feed beam;
the drilling assembly is arranged on the propelling beam and moves back and forth along the propelling beam;
the hydraulic system is connected with the drilling assembly and drives the drilling assembly to act;
the sensors are arranged on the propelling beam, the drilling assembly and the hydraulic system and are used for detecting data information in the drilling process; and
the data acquisition and processing system is used for recording data information of the sensor and processing and displaying the data;
the sensor includes:
the impact pressure sensor is used for detecting impact pressure in the rock breaking process;
the propelling pressure sensor is used for detecting propelling pressure in the rock breaking process;
the rotary pressure sensor is used for detecting the thrust in the rotary process of the drilling assembly;
a buffer pressure sensor for detecting a buffer force of the drilling assembly;
a rotational flow sensor for detecting a rotational speed of the drilling assembly; and
a displacement sensor for detecting displacement of the drilling assembly over different periods of time.
2. A rock drilling rig smart boom as claimed in claim 1, wherein the push beam comprises:
the beam body is provided with a guide rail;
the rock drill supporting plate, the front drill clamping device supporting plate and the middle drill supporting device supporting plate are matched and slidably arranged on the guide rail;
a front guard plate provided at a front end of the beam body; and
and the tail guard plate is arranged at the rear end of the beam body.
3. A rock drilling rig smart boom as recited in claim 1, wherein the drilling assembly comprises:
the rock drill is arranged on the propelling beam in a sliding support mode;
the drill rod is arranged at the output end of the rock drill and drives the drill rod to act, and the drill rod is supported and arranged on the propelling beam through a front drill clamp and a middle drill support;
a drill bit provided at a tip of the drill rod; and
and a propulsion drive unit that drives the rock drill to move along the feed beam.
4. A rock drilling rig smart boom as claimed in claim 1, wherein the hydraulic system comprises:
a hydraulic conduit for connecting the hydraulic pump and the drilling assembly; and
and the hydraulic pipe roller is arranged on the propelling beam and used for stretching the hydraulic pipeline when the drilling assembly moves back and forth.
5. A rock drilling rig intelligent boom as claimed in claim 1, wherein the data acquisition and processing system comprises:
the data acquisition processor is used for acquiring and processing data information; and
a data display for display of the operating parameter.
6. A rock mass quality detection and evaluation method, characterized in that the rock mass quality detection and evaluation is carried out based on a drill jumbo comprising the intelligent drill boom of the drill jumbo as claimed in any one of claims 1 to 5, and the method specifically comprises the following steps:
s1, drilling a rock body through the drill jumbo, and collecting and storing data information;
s2, dividing the data information according to the drilling depth to obtain drilling data of different depths;
and S3, constructing a mapping relation with the rock mass quality based on the obtained drilling data, and analyzing and evaluating the rock mass quality.
7. The rock mass quality detection and evaluation method according to claim 6, wherein in step S1, the data information includes a percussion pressure parameter, a thrust pressure parameter, a gyration pressure parameter, a cushion pressure parameter, a rotation speed parameter, and a drilling speed parameter of the drill jumbo;
in step S2, data analysis is performed on the continuous data information, the effective data information is spliced based on the drilling displacement of the drill jumbo, and each effective drilling depth and the corresponding effective parameter value are obtained to obtain drilling data of different depths.
8. The rock mass quality detection and evaluation method according to claim 6, characterized in that in step S3, characteristic parameters of drilling energy consumption per unit volume EDP and drilling process index DPI are obtained from the drilling data, rock mass parameters of uniaxial compressive strength UCS and integrity coefficient Kv are further obtained, and correlation model analysis of the characteristic parameters and the rock mass parameters is performed by using a regression analysis model to evaluate the rock mass quality in the drilling process;
wherein,
in the formula: EDP unit is MJ/m3(ii) a N is the rotating speed of the drill rod, rev/sec; p is drilling oil pressure, MPa; v is the drilling speed, mm/sec; a is the fitting coefficient of pressure and torque, 10-3m3(ii) a b is the fitting coefficient of pressure and drilling oil pressure, 10-3m3(ii) a c is a fitting coefficient of impact pressure and pushing pressure, N.m; r is the radius of the drill bit, mm;
DPI＝d·V·(b·P)-0.5·N-0.5in the formula: DPI is a dimensionless parameter; n is the rotating speed of the drill rod, rev/sec; p is drilling oil pressure, MPa; v is the drilling speed, mm/sec; b is a fitting coefficient of pressure and drilling oil pressure; d is the DPI influence coefficient;
UCS＝e·(EDP)fin the formula, the uniaxial compressive strength of UCS rock mass is MPa; e is a UCS influence coefficient; f is UCS and EDP curve index;
Kvg (DPI-h) + k, wherein: g. h and k are fitting coefficients.
9. The rock mass quality detection and evaluation method according to any one of claims 6 to 8, further comprising the step of S4, repeating the steps S1-S3, realizing multi-point continuous rock drilling, and carrying out intelligent analysis on the rock mass quality.
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