CN109989740A - Coal measure strata drilling intelligent identifying system and its method based on Multi-source Information Fusion - Google Patents

Coal measure strata drilling intelligent identifying system and its method based on Multi-source Information Fusion Download PDF

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CN109989740A
CN109989740A CN201910282818.XA CN201910282818A CN109989740A CN 109989740 A CN109989740 A CN 109989740A CN 201910282818 A CN201910282818 A CN 201910282818A CN 109989740 A CN109989740 A CN 109989740A
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drilling
parameter
data
measure strata
coal measure
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CN109989740B (en
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张幼振
石智军
张宁
李泉新
李晓鹏
李旭涛
阚志涛
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Xian Research Institute Co Ltd of CCTEG
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Xian Research Institute Co Ltd of CCTEG
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic 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
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B45/00Measuring the drilling time or rate of penetration
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/003Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells by analysing drilling variables or conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22Fuzzy logic, artificial intelligence, neural networks or the like

Abstract

The present invention relates to a kind of, and the coal measure strata based on Multi-source Information Fusion creeps into intelligent identifying system and its method.Intelligent identifying system construction efficiency of the present invention is high, easy to operate, parameter information identifies the formation lithology of drill bit current location and the structural information of coal measure strata in real time in effective use hole and outside hole, and the three-dimensional formation prediction model of target area can be obtained, accurate information can not only be provided for coal measure strata intelligent recognition, also offer reference and instruct for geotechnical engineering constructions such as other Tunnel Engineering, slope projects.

Description

Coal measure strata drilling intelligent identifying system and its method based on Multi-source Information Fusion
Technical field
The present invention relates to a kind of coal measure strata identifying system and its methods, belong to geological exploration field, are specifically related to one Coal measure strata drilling intelligent identifying system and its method of the kind based on Multi-source Information Fusion.
Background technique
China's coal field geology complicated condition, the diversity of the condition of coal formation, more phase property of coal-forming age, coal metamorphism it is folded Additivity, the full-length property of tectonism and complexity, so that the coal mining in China faces serious geological disaster.Especially as close The increase of year coal mining depth, underground geomechanics environment have occurred significant changes, and coal measure strata characteristic, including coal and rock The mine constructions such as lithology and structure feature design, the reasonability of engineering design more inadequate with underlying parameter necessary to safe construction It is greatly affected with the safety guarantee of recovery process.Utilize the evaluation of geological conditions in drilling project conducting shaft engineering and pre- Research is surveyed, can realize that safe high-efficiency green exploitation provides a strong guarantee for coal in China.
Currently, deficiencies such as the characteristic of coal measure strata identify that there are parameter extracting methods to fall behind, and accuracy of identification is low, it is difficult to realize To formation characteristics identification it is timely with it is accurate, effectively field engineering can not be instructed to practice.Also, existing prediction technique is using single When a or multiple indexs and its threshold value are judged, based on information content it is less, the threshold value of different each parameters of mine is also not to the utmost It is identical, when multiple indexs in various degree close to threshold value when, how comprehensive descision, still without good solution.It learns both at home and abroad Person, which has carried out, knows stratum using various information, including mathematical analysis model, Analysis on monitoring data, drilling parameter response characteristic etc. Other problem is studied, but it is less consider mechanical-electrical-hydraulic integration drilling machine coal mine down-hole tunnel job execution particularity, suddenly Depending on the effect for the unstructured object of bad ground that drilling construction is faced, to can not be made to coal measure strata credible in real time Description.
Summary of the invention
A brief summary of one or more aspects is given below to provide to the basic comprehension in terms of these.This general introduction is not The extensive overview of all aspects contemplated, and be both not intended to identify critical or decisive element in all aspects also non- Attempt to define the range in terms of any or all.Its unique purpose is to provide the one of one or more aspects in simplified form A little concepts are with the sequence for more detailed description given later.
The coal measure strata drilling intelligent identifying system that the purpose of the present invention is to provide a kind of based on Multi-source Information Fusion and Its method, construction efficiency is high, easy to operate, can obtain accurately to apply in real time and bore coal measure strata lithology and structural surface information, can Effective means is provided for coal mine down-hole drilling construction parameter scientific design and optimization.It can not only be coal measure strata intelligent recognition It provides and supports, can also offer reference and instruct for geotechnical engineering constructions such as other Tunnel Engineering, slope projects.
To solve the above problems, the scheme of the invention is:
Please first supplement other contents.
As can be seen from the above description, the present invention has the effect that
Construction efficiency is high, easy to operate, efficiently uses in hole and parameter information identifies drill bit current location in real time outside hole The structural information of formation lithology and coal measure strata, and the three-dimensional formation prediction model of target area can be obtained, it can not only Accurate information is provided for coal measure strata intelligent recognition, is also provided for geotechnical engineering constructions such as other Tunnel Engineering, slope projects It uses for reference and instructs.
Detailed description of the invention
It is incorporated herein and the attached drawing for forming part of specification instantiates the embodiment of the present invention, and attached drawing and explanation Book is further used for explaining the principle of the present invention together and one of ordinary skill in the art is enabled to make and use the disclosure.
Fig. 1 is the structural representation that a kind of coal measure strata based on Multi-source Information Fusion of the invention creeps into intelligent identifying system Figure;
Fig. 2 is the structural schematic diagram of drilling machine working-condition monitoring system of the invention;
Fig. 3 is the structural schematic diagram of data detection system in hole of the invention;
Fig. 4 is the structural schematic diagram of data collection system in hole of the invention;
Fig. 5 is intelligent expert schematic diagram of the invention;
Fig. 6 is method schematic diagram of the invention.
The mark meaning of attached drawing is as follows:
1 it is intelligent expert system, 2 be data collection system in hole, 3 be image processing system, 4 is drilling machine monitoring of working condition system System, 5 be underground drill rig, 6 be data detection system in hole, 7 be data collector, 8 be data set grow up to be a useful person, 9 be torque sensor, 10 be vibrating sensor, 11 be speed probe, 12 be obliquity sensor, 13 be signal amplifier, 14 be data converter one, 15 it is intelligent drilling rod, 16 is that data converter two, 17 is input unit, 18 is microprocessor, 19 is reservoir, 20 is expert Model, 21 be output device, 22 be warning device, 23 displays, 24 be power supply device.
Specific embodiment
Embodiment
It is a kind of coal measure strata drilling intelligent recognition based on Multi-source Information Fusion provided by the present embodiment referring to Fig. 1 Data detection system 6 in system, including drilling machine working-condition monitoring system 4, hole, data collection system 2, image processing system 3 in hole With intelligent expert system 1.
Data detection system 6 is arranged in the drilling tool of underground drill rig 5 in hole, is mainly used for drilling parameter information in hole and is surveyed It measures, and data collection system 2 in real-time delivery to hole, data collection system 2 is mainly used for the interior information collection that drills in the hole With communication, i.e., obtained each drilling parameter is recorded, converted, being transmitted to intelligent expert system 1, described image processing system 3 will Aperture return slag image feature information is output to intelligent expert system 1, and the drilling machine working-condition monitoring system 4 believes drilling machine operating parameter Breath is output to intelligent expert system 1, real time information in 1 device to hole of intelligent expert system, drilling machine monitoring information and return slag outside hole Image information carry out comprehensive analysis arrangement, in real time identification drilling column formation characteristics, and to target area stratum distribution character into Row prediction, differentiates the variation of rock stratum transverse direction tendency, and drawing three-dimensional visualizes stratum prediction model.
Referring to fig. 2, the drilling machine working-condition monitoring system 4 mainly includes data collector 7 and data integrator 8, the number The parameters such as rate of penetration, drilling depth, drilling pressure, drilling machine revolving speed and drilling tool position of drilling machine, institute are mainly acquired according to collector 7 It states data set and grows up to be a useful person and 8 be mainly used for that key data is extracted and merged in aperture.
Referring to Fig. 3, data detection system 6 includes torque sensor 9, vibrating sensor 10, speed probe in the hole 11, obliquity sensor 12.It is respectively used to the drilling such as torque-on-bit, nearly drill vibration, drill speed, bit orientation in detection drilling Parameter.
Referring to fig. 4, data collection system 2 includes signal amplifier 13, data converter 1, intelligent drilling rod in the hole 15 and data converter 2 16.The signal amplifier 13 is mainly used for the acquisition and amplification of signal, the data converter one 14 are mainly used for recompiling, modulating for data, the intelligent drilling rod 15 is mainly used for data integration and transmission, the number It is mainly used for the demodulation, parsing and fusion of data according to converter 2 16.
The intelligent drilling rod 15 is connected by dedicated tool joint thread, and increases insulation bullet in male and female electric connection Property body, elastic force can guarantee male and female electric connection it is tightly compacted, drilling rod is internally provided with the transmission cable of attaching type structure, use Flat conductor form, drilling rod distribution of forces is uniform, has blocked the contact of drilling fluid with drilling rod inner wall, can extend Life of drill rod, female It being weldingly connected in electric connection with the transfer wire in insulating elastomer, transfer wire is connected with the transmission cable in drilling rod, thus Guarantee the circle transmission of data.
Described image processing system 3 by acquiring aperture return slag figure, the color of available rock, gray scale, lumpiness in real time Equal characteristic parameters.
Referring to Fig. 5, the intelligent expert system 1 mainly includes input unit 17, microprocessor 18, memory 19, expert Model 20, output device 21, warning device 22, display 23 and power supply device 24.
Wherein, the input unit 17 is used to input basic drilling data source and in real time drilling data to expert model 20 Source, the basic drilling data source include the characterisitic parameter and drilling parameter correspondence database of coal measure strata, typical coal petrography image Feature, history are similar to drilling parameter database;The real-time drilling data source mainly includes being obtained by data detection system 6 in hole Hole in outside drilling parameter, drilling machine working-condition monitoring system 4 acquire in real time hole drilling machine operating parameter and image processing system 3 obtain Real-time aperture return slag image.
The expert model 20 mainly includes PDC drill bit stress model, coal measure strata mechanics model, target area Layer analysis model and prediction model.The PDC drill bit stress model mainly reads relevant parameter, obtains drilling tool structure, drill bit-like Not, drilling tool length, and the crucial drilling parameter of cutting force and horizontal force etc. suffered by drill bit is calculated in real time.The coal measure strata mechanics mould Type is mainly used for reading the characterisitic parameter of coal measure strata, obtains coal measure strata Differentiation Features, establishes classification foundation.The target area Stratigraphic analysis model in domain mainly carries out stratum boundary to the variation tendency of real-time drilling parameter reflection, obtains the ground in drilling process Layer feature distribution, the prediction model is changed using discrete borehole formation column, using Generalized Prediction method to target area Layer tendency is estimated to analyze comprehensively, automatic to calculate identification object region formation lithology.
The PDC drill bit stress model mainly includes the axial force F of PDC cutting toothaWith tangential force Ft
Contact pressure F can be obtained by carrying out integral along the y-axis direction using infinitesimal contact stressN1Are as follows:
In formula: l FN2The maximum compression distance that direction generates,
According to the definition of contact stiffness, abbreviation can obtain contact pressure F after calculatingN2Are as follows:
In formula: d ' is that PDC cutting tooth front end face is pressed into mean depth, d'=l/2.
According to equivalent force systems principle, axial force F can be obtained after abbreviationaWith tangential force FtAre as follows:
Fa=FN1(cosθ+fsinθ)+FN2(sinθ+fcosθ)(3)
In formula: angle of the θ between PDC cutting tooth axial direction and rock contact surface is defined as entrance angle;E* is hole bed rock The equivalent elastic modulus of stone,MPa;A is cylinder contacts face area, mm2;D is normal direction compression distance, mm;S is water Flat tangential displacement, mm;β is constant, determines that circular cross-section takes 1 by contact surface shape;F is the rock coefficient of sliding friction;FsFor Frictional force between PDC cutting tooth bottom and rock, PNFor the contact stress of tangential contact surface.
By formula (3) and (4) it can be concluded that the stress rule of PDC drill bit, i.e., obtain PDC by the operating parameter of drilling machine The stress of cutting tooth.
The coal measure strata mechanics model is the axis pressure and torsional moment effect pushing that PDC drill bit is provided in drilling machine Enter, cut simultaneously fractured rock.According to the mechanical characteristic of rock, since the Cutting Process of coal measure strata rock is mostly that brittleness is disconnected It splits, the zone of action deformation small and time of cutting tooth is short before being crushed, so the citation form that PDC cutting tooth rock drilling is crushed can It is divided into 2 kinds: first is that being crushed under responsive to axial force by the indentation that feed movement is formed, generates certain compression distance;Second is that The shearing-crushing formed under cutting force effect by rotary motion.
Fa1σkSk1 (5)
In formula: η1For the PDC cutting tooth axial direction coefficient of waste;σkFor the uniaxial compressive strength of rock, MPa; Sk1It is cut for PDC Cut the area that is axially forced to of tooth, mm2;N is PDC anchor bit revolving speed, r/min;For the internal friction angle of coal measure strata rock, (°);C is contact stiffness.
By formula (5) and (6) it can be concluded that the broken condition of coal measure strata rock, in conjunction with formula (3) and (4) to Establish the changing rule of drilling machine operating parameter Yu coal measure strata catalase.
The microprocessor 18 mainly completes that expert model 20 is quickly calculated and analyzed, and shown power supply device 24 is main It is used to carry out offer UPS supply to microprocessor 18 and display 23.The display 23 is mainly used for showing coal It is identification of formation result and three-dimensional visualization prediction model, the warning device 22 is used to when result parameter be more than to preset threshold When value, display and transmitting alarm signal.
Referring to Fig. 6, intelligent identifying system is crept into for the coal measure strata provided in this embodiment based on Multi-source Information Fusion Method specifically includes:
Step 1. determines formation characteristics and the prediction of the target area according to the geologic information in target coal measure strata region Range, building drilling tool-coal measure strata creep into kinetic model, with carrying out drilling parameter-coal measures using finite element emulation software Layer characteristic variations signature analysis.
Step 2. utilizes underground drill rig construction data hole, so that it is obtained rock sample at the corresponding coal petrography heart, is tried by analog simulation It tests and is tested with rotary drilling test platform, determine coal petrography response characteristic value, establish the data of drilling parameter Yu coal measure strata characteristic Library.
Step 3. carries out drilling construction using underground drill rig, obtains drilling machine operating parameter letter by drilling machine working-condition monitoring system Breath, while image processing system obtains real-time aperture return slag image information, is transferred to intelligent expert system together.
Step 4. carries out information real-time detection in hole using data detection system in hole, and data collection system will in through hole Major parameter is acquired and communicates, and is transferred to intelligent expert system.It is real in step 5. intelligent expert system rapidly extracting hole When information and hole outside drilling machine monitoring information, while return slag image information is handled.
Step 6. intelligent expert system carries out comprehensive analysis arrangement according to multi-source information, removes uncorrelated features, obtains phase Drilling sensitive parameter is closed, n dimensional feature parameter information is then mapped to by the smallest k Wei Te by PCA method (Principal Component Analysis) It levies in parameter (k < n), realizes the dimension-reduction treatment to data characteristics, be configured to completely new orthogonal k dimension principal component information, and to brill Data obfuscation is carried out according to subordinating degree function into parameter.Subordinating degree function uses normal distyribution function type:
Wherein σ and x0For adjustment parameter, which determines according to practical drilling parameter level, can be it is determining, It can use deep learning algorithm according to the actual situation to adjust it in real time.
According to coal measure strata-characteristic parameter mapping relations, fuzzy rule is determined, form Expert Rules collection.According to fuzzy rule Recognition result output is then carried out, recognition result (formation properties, intensity etc.) sharpening is exported, clear subordinating degree function uses three Angle function, parameter equally can be determining or real-time adjustment.Identification in real time judges drilling column formation characteristics and/or sentences Other rock stratum transverse direction tendency variation, completes the identification and prediction of target area coal measure strata, draws target by three-dimensional Voronoi diagram Regional stratum three-dimensional quantifies prediction model, and will be as the result is shown on display.
In the present embodiment, although the above method to be illustrated to and is described as a series of actions to simplify to explain, answer It is appreciated and understood that, the order that these methods are not acted is limited, because according to one or more embodiments, some movements can be by not Occur with order and/or with from depicted and described herein or not shown herein and describe but those skilled in the art can be with Other movements understood concomitantly occur.
Those skilled in the art will further appreciate that, the various illustratives described in conjunction with the embodiments described herein Logic plate, module, circuit and algorithm steps can be realized as electronic hardware, computer software or combination of the two.It is clear Explain to Chu this interchangeability of hardware and software, various illustrative components, frame, module, circuit and step be above with Its functional form makees generalization description.Such functionality be implemented as hardware or software depend on concrete application and It is applied to the design constraint of total system.Technical staff can realize every kind of specific application described with different modes Functionality, but such realization decision should not be interpreted to cause departing from the scope of the present invention.
It is noted that " one embodiment ", " embodiment ", " example embodiment ", " some embodiments " etc. in specification Reference instruction described embodiment may include a particular feature, structure, or characteristic, but each embodiment may not necessarily include The a particular feature, structure, or characteristic.Moreover, such phrase is not necessarily referring to the same embodiment.In addition, ought retouch in conjunction with the embodiments When stating a particular feature, structure, or characteristic, regardless of whether being expressly recited, such feature, structure are realized in conjunction with other embodiments Or characteristic will be in the knowledge of those skilled in the art.
Offer is to make any person skilled in the art all and can make or use this public affairs to the previous description of the disclosure It opens.The various modifications of the disclosure all will be apparent for a person skilled in the art, and as defined herein general Suitable principle can be applied to other variants without departing from the spirit or scope of the disclosure.The disclosure is not intended to be limited as a result, Due to example described herein and design, but should be awarded and principle disclosed herein and novel features phase one The widest scope of cause.

Claims (8)

1. a kind of coal measure strata based on Multi-source Information Fusion creeps into intelligent identifying system characterized by comprising
Data detection system in hole, is arranged in the drilling tool of underground drill rig, for drilling parameter information in measured hole;
Data collection system in hole, for drill interior information collection with communicate;
Drilling machine working-condition monitoring system, for monitoring and acquiring drilling machine trip information;
Image processing system, for acquiring aperture return slag image feature information;
Intelligent expert system is based on drilling parameter information, drilling machine trip information, return slag image feature information in the hole, Drilling sensitive parameter is obtained, and data obfuscation is carried out according to subordinating degree function to drilling sensitive parameter, according to fuzzy rule reality When identification drilling column formation characteristics and/or differentiate rock stratum transverse direction tendency variation.
2. a kind of coal measure strata based on Multi-source Information Fusion according to claim 1 creeps into intelligent identifying system, special Sign is that data detection system includes torque sensor, vibrating sensor, speed probe, obliquity sensor in the hole, divides Torque-on-bit parameter, nearly drill vibration parameter, drill speed parameter, bit orientation parameter in drilling Yong Yu not detected.
3. a kind of coal measure strata based on Multi-source Information Fusion according to claim 1 creeps into intelligent identifying system, special Sign is that data collection system includes signal amplifier, data converter one, intelligent drilling rod and data converter in the hole Two, the signal amplifier is mainly used for the acquisition and amplification of signal, the data converter one for the recompiling of data, Modulation etc., the intelligent drilling rod for data integration and transmission, the data converter two for data demodulation, parsing and Fusion.
4. a kind of coal measure strata based on Multi-source Information Fusion according to claim 1 creeps into intelligent identifying system, special Sign is,
The drilling machine working-condition monitoring system includes data collector and data integrator, the brill of the data collector acquisition drilling machine Into speed, drilling depth, drilling pressure, drilling machine revolving speed and drilling tool location parameter, the data set is grown up to be a useful person for that will lead outside hole Data are wanted to extract and merge.
5. a kind of coal measure strata based on Multi-source Information Fusion according to claim 1 creeps into intelligent identifying system, special Sign is that described image processing system obtains the color of rock, gray scale, lumpiness feature ginseng by acquiring aperture return slag figure in real time Number.
6. a kind of coal measure strata based on Multi-source Information Fusion according to claim 1 creeps into intelligent identifying system, special Sign is that the intelligent expert system includes:
PDC drill bit stress model for obtaining drilling tool structure, drill bit classification, drilling tool length, and calculates the suffered cutting of drill bit in real time Power and horizontal force key drilling parameter;
Coal measure strata mechanical model is mainly used for reading the characterisitic parameter of coal measure strata, obtains coal measure strata Differentiation Features, establish It is classified foundation;
Target area stratigraphic analysis model, the variation tendency for reflecting to real-time drilling parameter carry out stratum boundary, are bored Into stratum characteristic distribution in the process;
Prediction model, for being changed using discrete borehole formation column, using Generalized Prediction method to target area stratum tendency Estimation analysis comprehensively, it is automatic to calculate identification object region formation lithology.
Obscurity specialist rule collection, drilling parameter carry out data obfuscation according to subordinating degree function,
Using coal measure strata-characteristic parameter mapping relations, the output of recognition result sharpening is carried out according to fuzzy rule.
7. a kind of coal measure strata based on Multi-source Information Fusion according to claim 5 creeps into intelligent identifying system, special Sign is that the PDC drill bit stress model calculates the axial force F of PDC cutting tooth based on following formulaaWith tangential force Ft:
Fa=FN1(cosθ+fsinθ)+FN2(sinθ+fcosθ)
In formula: angle of the θ between PDC cutting tooth axial direction and rock contact surface is defined as entrance angle;E* is bottom hole rock Equivalent elastic modulus,MPa;A is cylinder contacts face area, mm2;D is normal direction compression distance, mm;S is horizontal tangential Displacement, mm;β is constant, determines that circular cross-section takes 1 by contact surface shape;F is the rock coefficient of sliding friction;FsFor PDC cutting Frictional force between bottom of the tooth portion and rock, PNFor the contact stress of tangential contact surface, in formula, contact pressure FN1Are as follows:
In formula, contact pressure FN2Are as follows:
In formula: l FN2The maximum compression distance that direction generates, d ' are that PDC cutting tooth front end face is pressed into mean depth, d'=l/2.
8. a kind of method of the coal measure strata drilling intelligent identifying system based on Multi-source Information Fusion characterized by comprising
Step 1. determines the formation characteristics and prediction model of the target area according to the geologic information in target coal measure strata region It encloses, building drilling tool and coal measure strata creep into kinetic model, carry out drilling parameter and coal measure strata using finite element emulation software Characteristic variations signature analysis;
Step 2. utilizes underground drill rig construction data hole, it is made to obtain rock sample at the corresponding coal petrography heart, by analog simulation test and The test of rotary drilling test platform, determines coal petrography response characteristic value, establishes the database of drilling parameter Yu coal measure strata characteristic;
Step 3. carries out drilling construction using underground drill rig, obtains drilling machine trip information by drilling machine working-condition monitoring system, Image processing system obtains real-time aperture return slag image information simultaneously, is transferred to intelligent expert system together;
Step 4. carries out information real-time detection in hole using data detection system in hole, and data collection system will be main in through hole Parameter is acquired and communicates, and is transferred to intelligent expert system;
Drilling machine monitoring information outside real time information and hole in step 5. intelligent expert system rapidly extracting hole, while return slag image is believed Breath is handled;
Step 6. intelligent expert system carries out comprehensive analysis arrangement according to multi-source information, removes uncorrelated features, obtains related brill Into sensitive parameter, n dimensional feature parameter information is then mapped to by the smallest k dimensional feature by PCA method (Principal Component Analysis) and is joined On number (k < n), the dimension-reduction treatment to data characteristics is realized, be configured to completely new orthogonal k dimension principal component information, and join to drilling Number carries out data obfuscation according to subordinating degree function.Subordinating degree function uses normal distyribution function type:
Wherein σ and x0For adjustment parameter, which determines according to practical drilling parameter level, can be it is determining, can also benefit It is adjusted in real time according to the actual situation with deep learning algorithm.
According to coal measure strata-characteristic parameter mapping relations, fuzzy rule is determined, form Expert Rules collection.According to fuzzy rule into The output of row recognition result, recognition result sharpening is exported, and clear subordinating degree function uses trigonometric function, and parameter equally can be with It is determining or real-time adjustment.The drilling column formation characteristics of identification judgement in real time and/or differentiation rock stratum transverse direction tendency variation, it is complete At the identification and prediction of target area coal measure strata, stratum three-dimensional amountization prediction in target area is drawn by three-dimensional Voronoi diagram Model, and will be as the result is shown on display.
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