CN103513293B - Tunnel geology synthetical forecast expert system and its implementation - Google Patents
Tunnel geology synthetical forecast expert system and its implementation Download PDFInfo
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Abstract
A kind of tunnel geology synthetical forecast expert system and its implementation.To comprise in tunnel geology synthetical forecast expert system primary module, Tunnel physical prospecting device and advanced levels drilling rig in geologic examination device, Tunnel; Tunnel geology synthetical forecast expert system primary module is connected with physical prospecting device, advanced levels drilling rig in geologic examination device, Tunnel in Tunnel with output interface respectively by digital independent; Tunnel geology synthetical forecast expert system primary module to comprise in tunnel geology macroscopical prediction submodule, Tunnel that geologic examination analyzes submodule, geophysical prospecting method selects to analyze submodule with result of detection, front of tunnel heading unfavorable geology forecasts that submodule, advanced levels are drilled and interpretation of result submodule and generate Disposal Measures submodule.The present invention can help tunnel geological prediction worker to carry out tunnel geology forecast work, does not reduce accuracy of the forecast again.
Description
Technical field
The present invention relates to tunnel geology field, particularly a kind of tunnel geology synthetical forecast expert system and its implementation.
Background technology
In tunnel excavation work progress, often there is burst extensive landslide, roof fall, gushing water, gush the engineering accidents such as mud and bring out the disasters such as surface subsidence, surface water resources exhaustion and surface environment.Therefore, how whether accurate forecast construction front of tunnel heading exists the unfavorable geologies such as fault belt, rich water-band and solution cavity underground river just becomes key issue urgently to be resolved hurrily in constructing tunnel.
Tunnel geological prediction technology develops into from originally single forecast means the synthetic prediction technique that geological analysis is combined with physical prospecting.Chinese patent CN101403797A discloses a kind of underground engineering construction advanced geology prediction system and forecasting procedure thereof, mainly provides a kind of underground engineering construction advanced geology prediction system comprising seismic receiver in tunnel, seismic event collector and seismic data Treatment Analysis system.Chinese patent CN102495434A discloses a kind of method of underground works advance geologic prediction, mainly provide a kind of comprise long-term advance geologic prediction, mid-term advance geologic prediction, short-term advance geologic prediction and face the forecasting procedure of million advance geologic prediction four-stages.
Tunnel geological prediction is a very complicated process, and tunnel geological prediction worker should ensure that forecast result accuracy makes forecasting process not delay the engineering time again as far as possible.This just requires that tunnel geological prediction worker not only will have the ability of energy express-analysis arrangement geologic information and in-situ measurement data, also will have sturdy geologic knowledge and high-caliber physical prospecting Interpretation Technology simultaneously.But worker's technical merit that China is engaged in tunnel geology forecast is very different, and many times advance geologic prediction effect is unsatisfactory.Therefore, on the basis of existing technology, develop a set of tunnel geological forecast worker that some can be helped not overripened to be engaged in the expert system of tunnel geology forecast work, to the on-the-spot tunnel geological forecast precision of raising, reduce geologic hazard in tunnel construction process to occur, be of great practical significance.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the present invention proposes a kind of tunnel geology synthetical forecast expert system and its implementation.It can integration, intellectuality realizes geologic examination in tunnel geology macroscopical prediction, Tunnel, physical prospecting equipment choice and in-situ measurement, front of tunnel heading unfavorable geology forecasts, advanced levels drill survey and disposal method propose.
For achieving the above object, the technical solution used in the present invention is: a kind of tunnel geology synthetical forecast expert system, to comprise in tunnel geology synthetical forecast expert system primary module, Tunnel physical prospecting device and advanced levels drilling rig in geologic examination device, Tunnel; Tunnel geology synthetical forecast expert system primary module is connected with physical prospecting device, advanced levels drilling rig in geologic examination device, Tunnel in Tunnel with output interface respectively by digital independent; Tunnel geology synthetical forecast expert system primary module to comprise in tunnel geology macroscopical prediction submodule, Tunnel that geologic examination analyzes submodule, geophysical prospecting method selects to analyze submodule with result of detection, front of tunnel heading unfavorable geology forecasts that submodule, advanced levels are drilled and interpretation of result submodule and generate Disposal Measures submodule.
In described Tunnel, geologic examination device comprises face and abutment wall camera chain, geologic compass, tape measure and drawing instrument.
In described Tunnel, physical prospecting device comprises geological radar, Transient Electromagnetic Apparatus and TSP system three kinds of equipment.
Described advanced levels drilling rig comprises rig and field notes system.
Described tunnel geology macroscopical prediction submodule comprises baseline file typing, geological condition macroscopic view in Sui Zhi district judges, forecast result exports and stores, divide risk class and emphasis forecasts four, location part;
In described Tunnel, geologic examination is analyzed submodule and is comprised that face and abutment wall photographic data read baseline file typing relevant to other, excavation section geological data analyses, front of tunnel heading geological condition judges, result exports and preservation four parts;
Described geophysical prospecting method is selected to analyze with result of detection submodule and is comprised that geophysical prospecting method is selected, proposed instrument on-site parameters and measuring point or arrangement of measuring-line mode, physical prospecting result reads and storage, the preliminary decipher of physical prospecting result, interpretation result export and preservation five parts;
Described front of tunnel heading unfavorable geology forecast submodule is comprehensively analyzed geologic examination analysis result and physical prospecting interpretation result in tunnel geology macroscopical prediction result, Tunnel, judge front of tunnel heading geological condition, judged result is as the foundation proposing disposal method;
Described advanced levels probing and interpretation of result submodule comprise to be selected advanced levels rig and determines that a brill point installation position, the reading of field notes result, results of drilling analysis, the judgement of front of tunnel heading geological condition, result export and preservation five parts;
Described generation Disposal Measures submodule drills analysis result according to the forecast of front of tunnel heading unfavorable geology to advanced levels to propose corresponding disposal method.
Be applicable to an implementation method for described tunnel geology synthetical forecast expert system, comprise the steps:
(1) existing prospective design achievement, areal geology data and earth's surface supplement survey data is collected; Start tunnel geology macroscopical prediction submodule, by initial information needed for interface requirements typing macroscopic view geologic prediction, system is automatically carried out macroscopic view to Sui Zhi district geological condition and is judged, and carries out risk class and emphasis forecast location division; Macroscopical geologic prediction initial information and result are stored in database by pile No.,
(2) use geologic examination device record face and abutment wall geological condition in hole, in hole, geologic examination device comprises face and abutment wall camera chain, geologic compass, tape measure and drawing instrument; Start geologic examination in Tunnel and analyze submodule, read face and abutment wall geologic record data; System automatically judges front of tunnel heading geological condition according to face and abutment wall geologic record analysis tunnel excavation section geological condition according to excavation section geological condition; Geologic examination analysis result in tunnel tunnel face and abutment wall geologic record data and hole is stored in database by pile No.,
(3) start geophysical prospecting method to select to analyze submodule with result of detection, geologic examination conclusion and common various geophysical prospecting method feature in system automatic analysis tunnel geology macroscopical prediction, Tunnel, and suitable geophysical prospecting method combination, often kind of on-the-spot optimal detection parameter of instrument and measuring point or arrangement of measuring-line mode are proposed; According to expert system instruction, instrument parameter, layout measuring point or survey line are set and carry out in-situ measurement; Read often kind of detection method in-situ measurement result, extract detection image and data characteristics, and preliminary decipher result of detection; By face pile No., the classification of physical prospecting result, instrument parameter, measuring point or arrangement of measuring-line situation is stored in database,
(4) front of tunnel heading unfavorable geology forecast submodule is started, input forecast face pile No., system recalls geologic examination conclusion and the preliminary interpretation result of face physical prospecting in macroscopical geologic prediction conclusion, hole automatically, and the various result of comprehensive analysis judges front of tunnel heading geological condition, comprises and whether there is unfavorable geologic body, unfavorable geologic body type, position and scale; If front of tunnel heading geologic condition better, not exists unfavorable geologic body, then export forecast result, terminate forecast, carry out next step construction, if front of tunnel heading exists unfavorable geologic body, then enter advanced levels probing and interpretation of result submodule; By pile No., front of tunnel heading unfavorable geology forecast result is stored in database,
(5) start advanced levels probing and interpretation of result submodule, system is automatically selected advanced levels rig according to front of tunnel heading unfavorable geology forecast result and is determined to bore some installation position and carry out scene probing; Read field notes result, system automatic analysis results of drilling also finally determines front of tunnel heading geological condition; By pile No., advanced levels being drilled analysis result is stored in database,
(6) start generation Disposal Measures submodule, system is automatically transferred the forecast of front of tunnel heading unfavorable geology and is drilled analysis result with advanced levels, and generates corresponding disposal method, is stored in database by the Disposal Measures of pile No. by generation.
Outstanding advantages of the present invention is:
Can integration, intellectuality realizes geologic examination in tunnel geology macroscopical prediction, Tunnel, physical prospecting equipment choice and in-situ measurement, front of tunnel heading unfavorable geology forecasts, advanced levels drill survey and disposal method propose.Not overripened tunnel geological forecast worker can be helped to carry out tunnel geology forecast work, do not reduce accuracy of the forecast again.To the on-the-spot tunnel geological forecast precision of raising, reduce geologic hazard in tunnel construction process and occur, be of great practical significance.
Accompanying drawing explanation
Fig. 1 is tunnel geology synthetical forecast expert system one-piece construction schematic diagram of the present invention.
Fig. 2 is that tunnel geology synthetical forecast expert system primary module of the present invention specifically implements structural drawing.
Fig. 3 is tunnel geology synthetical forecast expert system workflow schematic diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, technical solution of the present invention is described further.
As shown in Figure 1, tunnel geology synthetical forecast expert system of the present invention, to comprise in tunnel geology synthetical forecast expert system primary module, Tunnel physical prospecting device and advanced levels drilling rig in geologic examination device, Tunnel; Tunnel geology synthetical forecast expert system is connected with physical prospecting device, advanced levels drilling rig in geologic examination device, Tunnel in Tunnel with output interface respectively by digital independent; Tunnel geology synthetical forecast expert system primary module to comprise in tunnel geology macroscopical prediction submodule, Tunnel that geologic examination analyzes submodule, geophysical prospecting method selects to analyze submodule with result of detection, front of tunnel heading unfavorable geology forecasts that submodule, advanced levels are drilled and interpretation of result submodule and generate Disposal Measures submodule
In described Tunnel, geologic examination device comprises face and abutment wall camera chain, geologic compass, tape measure and drawing instrument,
In described Tunnel, physical prospecting device comprises geological radar, Transient Electromagnetic Apparatus and TSP system three kinds of equipment,
Described advanced levels drilling rig comprises rig and field notes system.
Described tunnel geology macroscopical prediction submodule comprises baseline file typing, geological condition macroscopic view in Sui Zhi district judges, forecast result exports and stores, divide risk class and emphasis forecasts four, location part;
In described Tunnel, geologic examination is analyzed submodule and is comprised that face and abutment wall photographic data read baseline file typing relevant to other, excavation section geological data analyses, front of tunnel heading geological condition judges, result exports and preservation four parts;
Described geophysical prospecting method is selected to analyze with result of detection submodule and is comprised that geophysical prospecting method is selected, proposed instrument on-site parameters and measuring point or arrangement of measuring-line mode, physical prospecting result reads and storage, the preliminary decipher of physical prospecting result, interpretation result export and preservation five parts;
Described front of tunnel heading unfavorable geology forecast submodule is comprehensively analyzed geologic examination analysis result and physical prospecting interpretation result in tunnel geology macroscopical prediction result, Tunnel, judge front of tunnel heading geological condition, judged result is as the foundation proposing disposal method;
Described advanced levels probing and interpretation of result submodule comprise to be selected advanced levels rig and determines that a brill point installation position, the reading of field notes result, results of drilling analysis, the judgement of front of tunnel heading geological condition, result export and preservation five parts;
Described generation Disposal Measures submodule drills analysis result according to the forecast of front of tunnel heading unfavorable geology to advanced levels to propose corresponding disposal method.
As shown in Figure 2, for realizing each submodule function of tunnel geology synthetical forecast expert system primary module, this expert system primary module is specifically implemented to comprise knowledge base, inference machine, database, human-computer interaction interface and explanation engine.
(1) knowledge base
Knowledge base is one of expert system core component, and high-quality knowledge base is that tunnel geology synthetical forecast expert system is successfully crucial.
The design of knowledge base comprises Knowledge Source, knowledge acquisition, the representation of knowledge, knowledge classification and information management five aspects.
Tunnel geology synthetical forecast expert system knowledge source comprises geological theory analysis results, tunnel geology expertise and tunnel geology forecast case history.Theoretical analysis achievement comprises mature geological theory, computing formula, and tunnel geological prediction is correlated with code, specification, and geophysical prospecting method achievement in research, this type of knowledge confidence level is larger.Human expert's experience and knowledge is the important Knowledge Source of tunnel geology prediction expert system.Human expert, is not only included in the scholar that there are attainments tunnel geological prediction research aspect, also comprises the service technician of long campaigns tunnel geological prediction and constructing tunnel.With the knowledge of these experiences for source, often there is larger ambiguity.Summarizing to success or failed case in the tunnel geological prediction course of work, is also the important sources of systematic knowledge.
From above-mentioned all kinds of Knowledge Source, obtain knowledge process and technology are referred to as knowledge acquisition.Knowledge acquisition mode has artificial acquisition and intelligent acquisition two kinds, and this expert system adopts artificial acquisition to obtain with intelligent the mode combined.
Tunnel geological prediction knowledge kind is many and complicated, requires that the inner structure knowledge of its complexity and many cause-effect relationshiies can accurately intactly show by Knowledge Representation Schemes.Knowledge in described tunnel geological prediction expert system knowledge base adopts " production rule+framework " representation.
For the ease of information management and continuous renewal, need tunnel geological prediction knowledge to be carried out classification and store.Described knowledge base comprises geologic examination analysis in tunnel geology macroscopical prediction, Tunnel, geophysical prospecting method is selected to forecast with result of detection analysis, front of tunnel heading unfavorable geology, advanced levels is drilled and interpretation of result and generate Disposal Measures six class knowledge;
Knowledge base management system is the important component part of knowledge base, comprises knowledge amendment, knowledge query and knowledge interpretation function, is responsible for carrying out management and utilization to knowledge.
(2) inference machine
Inference machine acts on whole reasoning process, and be responsible for tissue, coordinate and control whole expert system reasoning, the design of inference machine comprises expert system language, inference direction, reasoning sequential control and uncertain inference.
Described expert system language adopts CLIPS and VC++ jointly to work out.
Described inference direction adopts forward and the reverse mixed inference mode combined.
Described reasoning sequential control adopts method control law execution sequencing rule being arranged to priority level.
In tunnel geology synthetical forecast expert system, a large amount of knowledge is coarse and uncertain, needing to adopt uncertain reasoning to process uncertain knowledge in reasoning process, is rule of thumb that genuine degree of faith is referred to as confidence level to a things or something.
Described uncertain inference adopts the Weighted Rule reasoning method under uncertainty based on confidence level.Not only solve the problem of representation that independence between different and each evidence of significance level that multiple evidence supports conclusion is different from dependence like this, but also solve the uncertain reasoning problem when evidence is imperfect, also can solve the incoordination of suggestion difference or different aspect knowledge between different expert simultaneously.
For there is multiple evidence and the different uncertain inference of each evidence significance level, be expressed as with production rule:
IFT
1(cf
1,w
1)ANDT
2(cf
2,w
2)AND…ANDT
n(cf
n,w
n)
THENH(cf(H,T),λ)
The final confidence of conclusion H is
1) T
i(i=1,2 ..., n) be regular different evidences, cf
i(i=1,2 ..., n) represent evidence T
iconfidence level, cf (H, T) represents that the prerequisite in this rule be true time conclusion is genuine confidence level, cf
iwith cf (H, T) in [0,1] upper value, its value is provided by domain expert,
2) w
ievidence T
iweights, represent the relative importance of evidence, in [0,1] upper value, and should meet normalizing condition, its value is provided by domain expert,
3) λ is rule threshold (0< λ <1), and its value is also provided by domain expert;
In systems in which, confidence values is following regulation: confidence level >=80% conclusion is completely credible; Confidence level 60 ~ 80% conclusion is substantially credible; Confidence level 40 ~ 60% decision confidence is on the low side; Confidence level 20 ~ 40% decision confidence is low; Confidence level < 20% conclusion is insincere.
(3) database
Described database is made up of static database and dynamic data base two parts.
The content that static database stores comprises: the initial information needed for the tunnel geology macroscopical prediction extracted from existing prospective design achievement, areal geology data and earth's surface supplement survey data, geological researching data in Tunnel, Geophysical parameters, on-the-spot point position and original detection data, advanced levels bores record material, tunnel macroscopic view geologic prediction conclusion, geologic examination result in Tunnel, the preliminary decipher achievement of physical prospecting, tunnel unfavorable geology analyzes the disposal method of conclusion and generation;
Static database adopts database software Access exploitation, realizes VC++6.0 and Access DataBase combining by ADO technology.User can realize static data typing, inquiry and amendment on human-computer interaction interface.
Dynamic data base refers to the storer being used for depositing the middle fact in system cloud gray model reasoning process, has erasable writability.Before system cloud gray model reasoning, to transfer in static database relevant initial information generate true list and be stored in fact.txt document, then the fact read in fact.txt document by CLIPS triggers inference rule, in the middle of the part simultaneously generated in reasoning process, the fact is also stored in fact.txt, and the reasoning results that final CLIPS runs passes through result.txt document stored in static database.In this process, fact.txt document and result.txt document belong to dynamic data base.
(4) human-computer interaction interface
Native system selects the human-computer interaction interface of VC++6.0 design specialist system, and adopts the embedded mode loading DLL dynamic link library to realize VC++6.0 to call CLIPS.VC++6.0 is powerful object based programming instrument, the human-computer interaction interface that wherein the very applicable design of MFC module is good.User and associated specialist carry out message exchange by human-computer interaction interface and knowledge base, explanation engine, database and inference machine, thus operate whole tunnel geology synthetical forecast expert system.
(5) explanation engine
Described explanation engine major function has: use in systematic procedure user, the behavior of system is made to the explanation that can be easily absorbed on a cognitive level by the user; Related description can be carried out to system knowledge base, make system transparent.Explanation in system operation is realized by record Induction matrix, and explanatory content comprises rule used in reasoning and corresponding literal interpretation.
As shown in Figure 3, the implementation method of tunnel geology synthetical forecast expert system provided by the invention:
(1) existing prospective design achievement, areal geology data and earth's surface supplement survey data is collected; Start tunnel geology macroscopical prediction submodule, by initial information needed for interface requirements typing macroscopic view geologic prediction, system is automatically carried out macroscopic view to Sui Zhi district geological condition and is judged, and carries out risk class and emphasis forecast location division; Macroscopical geologic prediction initial information and result are stored in database by pile No.,
(2) use geologic examination device record face and abutment wall geological condition in hole, in hole, geologic examination device comprises face and abutment wall camera chain, geologic compass, tape measure and drawing instrument; Start geologic examination in Tunnel and analyze submodule, read face and abutment wall geologic record data; System automatically judges front of tunnel heading geological condition according to face and abutment wall geologic record analysis tunnel excavation section geological condition according to excavation section geological condition; Geologic examination analysis result in tunnel tunnel face and abutment wall geologic record data and hole is stored in database by pile No.,
(3) start geophysical prospecting method to select to analyze submodule with result of detection, geologic examination conclusion and common various geophysical prospecting method feature in system automatic analysis tunnel geology macroscopical prediction, Tunnel, and suitable geophysical prospecting method combination, often kind of on-the-spot optimal detection parameter of instrument and measuring point or arrangement of measuring-line mode are proposed; According to expert system instruction, instrument parameter, layout measuring point or survey line are set and carry out in-situ measurement; Read often kind of detection method in-situ measurement result, extract detection image and data characteristics, and preliminary decipher result of detection; By face pile No., the classification of physical prospecting result, instrument parameter, measuring point or arrangement of measuring-line situation is stored in database,
(4) front of tunnel heading unfavorable geology forecast submodule is started, input forecast face pile No., system recalls geologic examination conclusion and the preliminary interpretation result of face physical prospecting in macroscopical geologic prediction conclusion, hole automatically, and the various result of comprehensive analysis judges front of tunnel heading geological condition, comprises and whether there is unfavorable geologic body, unfavorable geologic body type, position and scale; If front of tunnel heading geologic condition better, not exists unfavorable geologic body, then export forecast result, terminate forecast, carry out next step construction, if front of tunnel heading exists unfavorable geologic body, then enter advanced levels probing and interpretation of result submodule; By pile No., front of tunnel heading unfavorable geology forecast result is stored in database,
(5) start advanced levels probing and interpretation of result submodule, system is automatically selected advanced levels rig according to front of tunnel heading unfavorable geology forecast result and is determined to bore some installation position and carry out scene probing; Read field notes result, system automatic analysis results of drilling also finally determines front of tunnel heading geological condition; By pile No., advanced levels being drilled analysis result is stored in database,
(6) start generation Disposal Measures submodule, system is automatically transferred the forecast of front of tunnel heading unfavorable geology and is drilled analysis result with advanced levels, and generates corresponding disposal method, is stored in database by the Disposal Measures of pile No. by generation.
Application Example
Use described tunnel geology synthetical forecast expert system, pin tunnel, ridge in the Cen Shui highway of Guangxi, large tunnel, Cenxi, field tail tunnel and tunnel, 4, Chen Jinding tunnel are forecast, result shows that forecast result of the present invention is credible, has good practical value.
Ridge pin Tunnel Right Line mileage FK18+330 ~ FK18+160 section, by above-mentioned use step operation, result is as follows:
FK18+330 ~ FK18+160 section geology macroscopical prediction conclusion is the agensis of FK18+330 ~ FK18+220 section karst, and country rock local is broken, and containing a small amount of joint fissure water, country rock resistance to overturning is general, and geological disaster risk grade occurs lower, confidence level is 65%; The agensis of FK18+220 ~ FK18+160 section karst, be in fault belt coverage, country rock is smashed to pieces, is rich in underground water, and rock stability is poor, geological disaster risk grade occurs high, and be this emphasis forecast location, confidence level is 68%.
According to geologic examination in hole, judge that face FK18+220 front 15m geological condition is FK18+220 ~ FK18+213 section along with tunnel continues to tunnel forward, country rock is deteriorated gradually, and crack is comparatively grown, and crack mostly is clay filling, and confidence level is 73%; FK18+213 ~ FK18+205 section country rock is smashed to pieces, there is the rich water bodys such as fault gouge, and rock stability is poor, and confidence level is 78%.
Face FK18+220 place geophysical prospecting method selects TSP, geological radar method and transient electromagnetic method three kinds of methods to combine, physical prospecting Comprehensive analysis results is that FK18+220 ~ FK18+212 section Rock Mass Integrality is better, crack is comparatively grown, and there are stuff in crack, and confidence level is 79%; FK18+212 ~ FK18+206 section is tomography folder mud band, and country rock is smashed to pieces, there is weak intercalated layer, and right side exists cavity, based on weak filling material, greatly moisture, and confidence level is 82%; FK18+206 ~ FK18+191 section rock integrality is better, and containing a small amount of joint fissure water, confidence level is 78%; There is the rich water bodys such as fault gouge on the right side of FK18+191 ~ FK18+180 section, be about 8m along tunnel axis, wide about 4m, confidence level is 81%; FK18+180 ~ FK18+160 section rock integrality is better, and country rock local is broken, and confidence level is 79%.
200 type revolution core drills are adopted to carry out advanced levels probing to tunnel FK18+218 ~ FK18+167.5 section.Comprehensive analysis probing and unfavorable geology forecast result, determine that unfavorable geology body position is FK18+212.5 ~ FK18+206.2 and FK18+190.4 ~ FK18+181.2 section, unfavorable geologic body type is rich water fault belt and there is half packed type cavity, gushing water mud possibility of dashing forward occurs high, confidence level is 92%.
Determine that disposal method is in the operating technique that FK18+215 ~ FK18+202 and FK18+193 ~ FK18+178 section takes to strengthen preliminary bracing, high-pressure water-enriched cavity releases energy step-down and lead pipe-shed support.
Actual excavation result FK18+212 ~ FK18+206 section is fault disruption zone folder mud band, is mainly yellowly softly to mould ~ Fluidal plastic clay, and there is half packed type cavity; FK18+191 ~ FK18+180 section is fault belt, and is high pressure water enrichment.
Forecast result and actual excavation situation are coincide.
Claims (3)
1. a tunnel geology synthetical forecast expert system, is characterized in that, to comprise in tunnel geology synthetical forecast expert system primary module, Tunnel physical prospecting device and advanced levels drilling rig in geologic examination device, Tunnel; Tunnel geology synthetical forecast expert system primary module is connected with physical prospecting device, advanced levels drilling rig in geologic examination device, Tunnel in Tunnel with output interface respectively by digital independent; Tunnel geology synthetical forecast expert system primary module to comprise in tunnel geology macroscopical prediction submodule, Tunnel that geologic examination analyzes submodule, geophysical prospecting method selects to analyze submodule with result of detection, front of tunnel heading unfavorable geology forecasts that submodule, advanced levels are drilled and interpretation of result submodule and generate Disposal Measures submodule
In described Tunnel, geologic examination device comprises face and abutment wall camera chain, geologic compass, tape measure and drawing instrument,
In described Tunnel, physical prospecting device comprises geological radar, Transient Electromagnetic Apparatus and TSP system three kinds of equipment,
Described advanced levels drilling rig comprises rig and field notes system.
2. tunnel geology synthetical forecast expert system according to claim 1, is characterized in that:
Described tunnel geology macroscopical prediction submodule comprises baseline file typing, geological condition macroscopic view in Sui Zhi district judges, forecast result exports and stores, divide risk class and emphasis forecasts four, location part;
In described Tunnel, geologic examination is analyzed submodule and is comprised that face and abutment wall photographic data read baseline file typing relevant to other, excavation section geological data analyses, front of tunnel heading geological condition judges, result exports and preservation four parts;
Described geophysical prospecting method is selected to analyze with result of detection submodule and is comprised that geophysical prospecting method is selected, proposed instrument on-site parameters and measuring point or arrangement of measuring-line mode, physical prospecting result reads and storage, the preliminary decipher of physical prospecting result, interpretation result export and preservation five parts;
Described front of tunnel heading unfavorable geology forecast submodule is comprehensively analyzed geologic examination analysis result and physical prospecting interpretation result in tunnel geology macroscopical prediction result, Tunnel, judge front of tunnel heading geological condition, judged result is as the foundation proposing disposal method;
Described advanced levels probing and interpretation of result submodule comprise to be selected advanced levels rig and determines that a brill point installation position, the reading of field notes result, results of drilling analysis, the judgement of front of tunnel heading geological condition, result export and preservation five parts;
Described generation Disposal Measures submodule drills analysis result according to the forecast of front of tunnel heading unfavorable geology to advanced levels to propose corresponding disposal method.
3. be applicable to an implementation method for tunnel geology synthetical forecast expert system according to claim 1, it is characterized in that, comprise the steps:
(1) existing prospective design achievement, areal geology data and earth's surface supplement survey data is collected; Start tunnel geology macroscopical prediction submodule, by initial information needed for interface requirements typing macroscopic view geologic prediction, system is automatically carried out macroscopic view to Sui Zhi district geological condition and is judged, and carries out risk class and emphasis forecast location division; Macroscopical geologic prediction initial information and result are stored in database by pile No.,
(2) use geologic examination device record face and abutment wall geological condition in hole, in hole, geologic examination device comprises face and abutment wall camera chain, geologic compass, tape measure and drawing instrument; Start geologic examination in Tunnel and analyze submodule, read face and abutment wall geologic record data; System automatically judges front of tunnel heading geological condition according to face and abutment wall geologic record analysis tunnel excavation section geological condition according to excavation section geological condition; Geologic examination analysis result in tunnel tunnel face and abutment wall geologic record data and hole is stored in database by pile No.,
(3) start geophysical prospecting method to select to analyze submodule with result of detection, geologic examination conclusion and common various geophysical prospecting method feature in system automatic analysis tunnel geology macroscopical prediction, Tunnel, and suitable geophysical prospecting method combination, often kind of on-the-spot optimal detection parameter of instrument and measuring point or arrangement of measuring-line mode are proposed; According to expert system instruction, instrument parameter, layout measuring point or survey line are set and carry out in-situ measurement; Read often kind of detection method in-situ measurement result, extract detection image and data characteristics, and preliminary decipher result of detection; By face pile No., the classification of physical prospecting result, instrument parameter, measuring point or arrangement of measuring-line situation is stored in database,
(4) front of tunnel heading unfavorable geology forecast submodule is started, input forecast face pile No., system recalls geologic examination conclusion and the preliminary interpretation result of face physical prospecting in macroscopical geologic prediction conclusion, hole automatically, and the various result of comprehensive analysis judges front of tunnel heading geological condition, comprises and whether there is unfavorable geologic body, unfavorable geologic body type, position and scale; If front of tunnel heading geologic condition better, not exists unfavorable geologic body, then export forecast result, terminate forecast, carry out next step construction, if front of tunnel heading exists unfavorable geologic body, then enter advanced levels probing and interpretation of result submodule; By pile No., front of tunnel heading unfavorable geology forecast result is stored in database,
(5) start advanced levels probing and interpretation of result submodule, system is automatically selected advanced levels rig according to front of tunnel heading unfavorable geology forecast result and is determined to bore some installation position and carry out scene probing; Read field notes result, system automatic analysis results of drilling also finally determines front of tunnel heading geological condition; By pile No., advanced levels being drilled analysis result is stored in database,
(6) start generation Disposal Measures submodule, system is automatically transferred the forecast of front of tunnel heading unfavorable geology and is drilled analysis result with advanced levels, and generates corresponding disposal method, is stored in database by the Disposal Measures of pile No. by generation.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4899322A (en) * | 1987-10-02 | 1990-02-06 | Crutcher William C | Integrated geophysical survey system |
| CN101403797A (en) * | 2008-11-14 | 2009-04-08 | 北京市市政工程研究院 | Advanced geological prediction system and method for underground engineering construction |
| CN101526629A (en) * | 2009-04-02 | 2009-09-09 | 中铁二局股份有限公司 | Geological prediction system for constructing tunnel passing through coal measure strata |
| CN102322294A (en) * | 2011-05-31 | 2012-01-18 | 中铁二十局集团第一工程有限公司 | Comprehensive geological prediction method for karst tunnel construction |
| CN102495434A (en) * | 2011-11-25 | 2012-06-13 | 成都畅达通地下工程科技发展有限公司 | Advanced geological prediction method for underground engineering |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6246355B1 (en) * | 1999-12-22 | 2001-06-12 | Hot/Shot Radar Inspections, Llc | Radar cross-section measurement system for analysis of wooden structures |
-
2013
- 2013-10-12 CN CN201310475456.9A patent/CN103513293B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4899322A (en) * | 1987-10-02 | 1990-02-06 | Crutcher William C | Integrated geophysical survey system |
| CN101403797A (en) * | 2008-11-14 | 2009-04-08 | 北京市市政工程研究院 | Advanced geological prediction system and method for underground engineering construction |
| CN101526629A (en) * | 2009-04-02 | 2009-09-09 | 中铁二局股份有限公司 | Geological prediction system for constructing tunnel passing through coal measure strata |
| CN102322294A (en) * | 2011-05-31 | 2012-01-18 | 中铁二十局集团第一工程有限公司 | Comprehensive geological prediction method for karst tunnel construction |
| CN102495434A (en) * | 2011-11-25 | 2012-06-13 | 成都畅达通地下工程科技发展有限公司 | Advanced geological prediction method for underground engineering |
Non-Patent Citations (2)
| Title |
|---|
| 隧道超前地质预报技术与计算机辅助预报系统研究;孟陆波;《中国博士学位论文全文数据库·工程科技Ⅱ辑》;20091215(第12期);C034-40 * |
| 马桑哨隧道超前地质预报信息管理系统研究;尚亿军;《中国优秀硕士学位论文全文数据库·工程科技Ⅱ辑》;20121015(第10期);C034-483 * |
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