CN108154555A - A kind of complex geological structure three-dimensional modeling method under knowledge rule constraint - Google Patents

A kind of complex geological structure three-dimensional modeling method under knowledge rule constraint Download PDF

Info

Publication number
CN108154555A
CN108154555A CN201711447911.9A CN201711447911A CN108154555A CN 108154555 A CN108154555 A CN 108154555A CN 201711447911 A CN201711447911 A CN 201711447911A CN 108154555 A CN108154555 A CN 108154555A
Authority
CN
China
Prior art keywords
rule
knowledge
geologic
geological structure
geology
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201711447911.9A
Other languages
Chinese (zh)
Other versions
CN108154555B (en
Inventor
王永志
赵爱国
杨路生
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangxi University of Science and Technology
Original Assignee
Jiangxi University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangxi University of Science and Technology filed Critical Jiangxi University of Science and Technology
Priority to CN201711447911.9A priority Critical patent/CN108154555B/en
Publication of CN108154555A publication Critical patent/CN108154555A/en
Application granted granted Critical
Publication of CN108154555B publication Critical patent/CN108154555B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models

Abstract

A kind of complex geological structure three-dimensional modeling method under being constrained the invention discloses knowledge rule.According to geologic rule and expert's domain knowledge, the extraction and summary of geology domain knowledge rules are carried out with reference to the spatial relationship between geological structure object and attributive character first for this method;Then it to the geologic knowledge rule extracted and summed up, is expressed using Object-oriented Technique, and build geology domain knowledge rules library;On this basis, geology domain-planning inference engine is built based on NxBRE regulation engines, with realizing geology domain knowledge rules reasoning obtains more detailed geological structure information;Finally, these information architecture complex geological structure threedimensional models are utilized.Complex geological structure three-dimensional modeling method under being constrained the present invention is based on knowledge rule can build and be more in line with geology reality, the higher complex geological structure threedimensional model of precision, and strong model basis and support are provided with calculating for geoanalysis.

Description

A kind of complex geological structure three-dimensional modeling method under knowledge rule constraint
Technical field
The present invention relates to the fields such as Geographical Information Sciences, computer graphics, geology, and in particular to a kind of knowledge rule Complex geological structure three-dimensional modeling method under constraint.
Background technology
During the related work in geology field, since underground situation is extremely complex, it is very difficult to find out under normal circumstances The details of the underground space, therefore, to the three-dimensional modeling of complex geologic body, often precision is not high.
A large amount of geologic rule and expertise knowledge are contained in geology field, and many geology practitioners can be from itself The geological changes rule of grasp goes to be inferred to some geology and geomorphology information, and some scholars establish geology expert system, comes Auxiliary carries out the deduction of geology and geomorphology.But existing geology expert system expresses expertise knowledge in which cannot be apparent from, and ties up Shield is difficult, limits the application of geologic rule and expertise knowledge.If the Heuristics of geology domain expert is taken into rule Form extract and express, can be more clear, intuitively give expression to the various pieces of knowledge, and then can be intricately The three-dimensional modeling of plastid construction provides a kind of more efficient accurately method.
Invention content
In order to solve the problems such as complex geological structure data acquisition means are rare, data are deficient, it is proposed that a kind of knowledge rule Complex geological structure three-dimensional modeling method under then constraining effectively promotes underground space complex geologic body three-dimensional modeling precision.
To achieve these goals, the technical solution adopted by the present invention is as follows:
Complex geological structure three-dimensional modeling method under a kind of knowledge rule constraint, including following steps:
S1, the acquisition and expression of geologic knowledge rule:By the way that geologic rule and expertise are excavated and refined, obtain To relevant geologic knowledge rule;Then geologic knowledge rule is expressed in the form of classes using Object--oriented method;
S2, builds the geologic knowledge rule base for storing the geologic knowledge rule, and geologic knowledge rule base includes thing Real library and rule base;
S3 builds geologic knowledge rule base inference engine, realizes the inference function of geologic knowledge rule base, and reasoning is obtained To geologic knowledge be applied to complex geological structure three-dimensional modeling in, the specific steps are:
S31 builds geologic knowledge rule base inference engine based on NxBRE regulation engines;
S32, inference engine carry out mould using the pattern matcher of regular expression to the rule in geology knowledge base Formula matches, and the rule of successful match is instantiated, the result of instantiation is made inferences by inference engine;
S33 inquires the reasoning results, determines whether the reasoning results meet the requirements, and satisfactory the reasoning results are converted Into RuleML rule languages;
S34 parses the RuleML rule languages of step S33 conversions, obtains formation information, and by formation information more Newly in factbase;
S35 utilizes drill hole information, stratigraphic structure figure and the new knowledge obtained through reasoning in updated factbase, structure Build stratum irregular triangle network;
S36 using the stratum irregular triangle network of structure, establishes multi-DEMs, obtains regional stratum threedimensional model, by this Model is exported and is visualized.
Further, in the step S1, the member of class includes the association attributes of rule and for the credible journey of description rule The confidence level of degree, function is instantiated different classes in a different configuration, obtains specific rule objects, then to each rule Object carries out assignment;With reference to embedded production KR, further each rule objects are clearly expressed.
Further, in the step S32, it is assumed that there is n items rule to be matched in geologic knowledge rule base, and each is regular Object condition part has p kind match patterns, has m factual data in some point, then carries out the detailed process of pattern match such as Under:1. take out a rule r from n items rule to be matched;2. the combination c being made of the p fact is taken out from the m item facts;③ With combination c test order r, if meeting current rule condition, regular r is added in rule match queue;If 4. m thing It is real also to there are other combination c, jump to step 3.;5. taking out next rule r, step is jumped to 2..
The method of the present invention can refine geology data, geologic rule and expertise knowledge, be excavated, and obtain Required geology field relevant knowledge rule.And using the thought of object-oriented, by geology domain knowledge rules with the shape of class Formula is expressed, and more visual in image shows geologic knowledge characteristic, and the Spatial three-dimensional dispersion model for complex geological structure is built Mould is studied provides effective geological information support with application.This method constructs geology rule based on NxBRE regulation engines and pushes away Manage engine, can realize the reasoning to geology domain knowledge rules, by RuleML language to the geological information that reasoning obtains into Row Organization And Management is applied it in the building process of complex geological structure threedimensional model, can be built and is more in line with geology Practical, the higher complex geological structure threedimensional model of precision provides strong model basis and support for geoanalysis with calculating.
Description of the drawings
Fig. 1 is the flow chart of complex geological structure three-dimensional modeling method of the present invention.
Fig. 2 is the structural model figure of geologic knowledge rule in the embodiment of the present invention.
Specific embodiment
In order to more clearly from illustrate the purpose of the present invention, technical solution and feature, below in conjunction with attached drawing and example, to this Invention is further described.It should be appreciated that the specific embodiments described herein are only used to explain the present invention, and do not have to It is of the invention in limiting.
The complex geological structure three-dimensional modeling method under a kind of knowledge rule constraint is present embodiments provided, as shown in Figure 1, This method includes the following steps:
1st, by the way that geologic rule and expertise are excavated and refined, the relevant knowledge rule in geology field is obtained. Then using the thought expression geologic knowledge of object-oriented rule, geologic knowledge rule is expressed in the form of classes, more Visual in image shows knowledge characteristics, for knowledge rule drive under geological structure three-dimensional modeling method provide in further detail, it is rich Rich geological information.
2nd, the structure of geologic knowledge rule base, it is more convenient for better organization and management geology domain knowledge rules Geology domain knowledge is expanded and reasoning application, the thought for using for reference geospatial database construct geology domain knowledge Rule base is laid a good foundation for subsequent knowledge rule reasoning and three-dimensional modeling application.
3rd, geology rule-based reasoning engine is built based on NxBRE regulation engines, on the basis of NxBRE regulation engines, utilized Object-Oriented Programming Languages, structure geology domain-planning library inference engine, the inference function of realization geologic knowledge rule base, And the geology domain knowledge for obtaining reasoning is applied in complex geological structure three-dimensional modeling.
The present embodiment the specific implementation process is as follows:
1st, the acquisition and expression of the rule of geologic knowledge
Since geological phenomenon has the characteristics that complexity, non-intellectual with uncertain, so needing the geology to collecting Rule and expertise knowledge are excavated, are abstracted and expressed, and then obtain geology field relevant knowledge rule.For space (attribute data is examined for spatial relation rule existing for object (topological relation, position relation and metric relation) and attribute knowledge rule Look into rule, attribute information derivation rule), geology knowledge rule is summarized and extracted, in this course, the present invention uses The thought of object-oriented, knowledge and expertise knowledge to complicated, various geology field carry out tissue and expression, will be different Knowledge rule be expressed as the class formation of object-oriented.Using the encapsulation characteristic and inheritance of class, knowledge and warp are preferably embodied The hierarchy tested.The design of class members mainly includes the association attributes about rule, such as rule numbers, title, precondition With conclusion etc.;Meanwhile a regular confidence level member is devised to indicate the credibility of the rule, carrying out knowledge rule Reasoning when, the preferential rule for selecting confidence level high participates in reasoning.The knowledge representation model of object-oriented is as shown in Figure 2.At this In model, different rules obtains specific rule objects by the way that different constructed fuctions is called to be instantiated.With reference to insertion Production KR, further each rule objects are clearly expressed.Causal expression-form is geology rule Most of form of expression, that is, result is shifted onto by condition, it is possible to be indicated by production expression-form.Entirely Production is meant that:If precondition is satisfied, conclusion can be shifted out onto or perform the operation of defined.
2nd, geologic knowledge rule base is established
Due to the expertise knowledge in geology field, can constantly increase over time, in order to preferably manage and It safeguards, the present invention stores these knowledge rules by building knowledge base, and independence and the reduction data for increasing data are superfluous Remaining, reasoning and application for later stage knowledge rule lay the foundation.Knowledge base is the best side of organization and management knowledge rule Formula is primarily used to store various rule examples.The present invention uses for reference the thought of geospatial database, carries out geology neck The structure of domain knowledge rule base.According to the attribute feature of geology domain knowledge rules itself, and fully consider later stage rule-based reasoning Application carry out the structure of design rule library and factbase, so as to more efficient storage and managerial knowledge.What is stored in factbase is Geologic information data are the numbers that rule-based reasoning can be carried out after information extraction, Data Integration, standardization and formatting processing The result data obtained according to this and after reasoning, these data informations constantly increase over time.
3rd, the design of the geology rule-based reasoning engine based on NxBRE
NxBRE is the Business Rule Engine of a lightweight of increasing income under .NET platforms, it is drawn by the reasoning of forward-chaining Hold up with XML driving flow control engine compositions, it is simple in structure and be easy to the advantage of extension with its, be commonly used for solving in complicated business The skimble-scamble problem of Rule Expression.The present invention carries out Function Extension to NxBRE, constructs geology domain knowledge rules reasoning and draws It holds up, the reasoning for geology domain knowledge rules provides technical support.When being made inferences using geology domain knowledge rules engine, mould The design of formula adaptation directly affects the efficiency of reasoning process, and the present invention uses the pattern match of regular expression, Ke Yishi Now fast and accurately rule match.Specially:
S31, the initialization of inference engine, the engine interface that NxBRE is called to carry are loaded into rule engine module;
S32, the pattern matcher based on regular expression match the rule in rule base;
Assuming that have n items rule to be matched in geology knowledge base, and each rule objects condition part has the matching of p kinds Pattern has m factual data in some point, then the detailed process for carrying out pattern match is as follows:1. it is taken from n items rule to be matched Go out a rule r;2. the combination c being made of the p fact is taken out from the m item facts;3. with combination c test order r, if met Current rule condition adds in regular r in rule match queue;4. if the m items fact also has other combination c, jump to Step is 3.;5. taking out next rule r, step is jumped to 2.;
S33 instantiates the rule of successful match, and the result of instantiation is made inferences by inference engine;
S34 inquires the reasoning results, checks whether the reasoning results meet the requirements, and satisfactory the reasoning results are converted Into RuleML language, (Rule Modeling Language, RuleML, it is a kind of regular modeling language, is used on web Shared and rule of the publication based on XML).
4th, the geological structure 3 D model construction method of knowledge based rule-based reasoning
Based on geology domain knowledge rules inference engine, with reference to factual data and knowledge rule, can excavate impliedly Matter structural information.Tissue and expression are carried out to the result information of reasoning using RuleML, and applies it to geological structure three-dimensional In model construction process, precision higher, the geological structure threedimensional model for being more in line with practical geological condition can be obtained.Specifically For:
The reasoning results by RuleML rule languages are parsed and converted, obtain formation information by S41;
S42, will be in formation information update to factual database;
S43 builds stratum Triangulation Network Model;
S45, multi-DEMs suture, obtains regional stratum threedimensional model, and on this basis, binding rule inference engine carries out The three-dimensional modeling of geological structure object and expression, realize the structure of geological structure threedimensional model, and output it as PLY files (PLY file formats are a set of three-dimensional mesh model data forms of Stanford universities exploitation.);
S46, model three-dimensional visualization and expression, using VTK, (visualization toolkit, VTK are one and are based on C++ programming languages structure the freeware system increased income, be mainly used for three dimensional computer graphics, image procossing and visually Change.) carry out complex geological structure three-dimensional modeling visualization.

Claims (3)

1. the complex geological structure three-dimensional modeling method under a kind of knowledge rule constraint, which is characterized in that including following step Suddenly:
S1, the acquisition and expression of geologic knowledge rule:By the way that geologic rule and expertise are excavated and refined, phase is obtained The geologic knowledge rule of pass;Then geologic knowledge rule is expressed in the form of classes using Object--oriented method;
S2, builds the geologic knowledge rule base for storing the geologic knowledge rule, and geologic knowledge rule base includes the fact that library And rule base;
S3 builds geologic knowledge rule base inference engine, realizes the inference function of geologic knowledge rule base, and reasoning is obtained Geologic knowledge is applied in complex geological structure three-dimensional modeling, the specific steps are:
S31 builds geologic knowledge rule base inference engine based on NxBRE regulation engines;
S32, inference engine is using the pattern matcher of regular expression to the regular carry out pattern in geology knowledge base Match, the rule of successful match is instantiated, the result of instantiation is made inferences by inference engine;
S33 inquires the reasoning results, determines whether the reasoning results meet the requirements, and satisfactory the reasoning results are converted to RuleML rule languages;
S34 parses the RuleML rule languages of step S33 conversions, obtains formation information, and formation information update is arrived In factbase;
S35 utilizes drill hole information, stratigraphic structure figure and the new knowledge obtained through reasoning in updated factbase, structure ground Layer irregular triangle network;
S36 using the stratum irregular triangle network of structure, establishes multi-DEMs, obtains regional stratum threedimensional model, by the model It exports and is visualized.
2. the complex geological structure three-dimensional modeling method under a kind of knowledge rule constraint according to claim 1, feature It is, in the step S1, the member of class includes regular association attributes and the confidence level for description rule credibility, no Function is instantiated same class in a different configuration, obtains specific rule objects, then carries out assignment to each rule objects; With reference to embedded production KR, further each rule objects are clearly expressed.
3. the complex geological structure three-dimensional modeling method under a kind of knowledge rule constraint according to claim 1, feature It is, in the step S32, it is assumed that there is n items rule to be matched in geologic knowledge rule base, and each rule objects condition part There are p kind match patterns, have m factual data in some point, then the detailed process for carrying out pattern match is as follows:1. it is treated from n items A rule r is taken out in matching rule;2. the combination c being made of the p fact is taken out from the m item facts;3. with combination c test rule If meeting current rule condition, regular r is added in rule match queue by then r;4. if also there are other for the m items fact Combination c, jump to step 3.;5. taking out next rule r, step is jumped to 2..
CN201711447911.9A 2017-12-27 2017-12-27 Three-dimensional modeling method for complex geological structure under knowledge rule constraint Active CN108154555B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711447911.9A CN108154555B (en) 2017-12-27 2017-12-27 Three-dimensional modeling method for complex geological structure under knowledge rule constraint

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711447911.9A CN108154555B (en) 2017-12-27 2017-12-27 Three-dimensional modeling method for complex geological structure under knowledge rule constraint

Publications (2)

Publication Number Publication Date
CN108154555A true CN108154555A (en) 2018-06-12
CN108154555B CN108154555B (en) 2021-08-10

Family

ID=62462400

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711447911.9A Active CN108154555B (en) 2017-12-27 2017-12-27 Three-dimensional modeling method for complex geological structure under knowledge rule constraint

Country Status (1)

Country Link
CN (1) CN108154555B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110765526A (en) * 2019-10-18 2020-02-07 北京申信达成科技有限公司 Ancient building structure analysis model reconstruction method based on knowledge rule driving
CN111583394A (en) * 2020-05-07 2020-08-25 金航数码科技有限责任公司 Knowledge manufacturability inspection method and system based on feature recognition
CN112732939A (en) * 2021-01-15 2021-04-30 中国科学院空天信息创新研究院 Spatiotemporal knowledge graph construction method, device, medium and equipment based on GraphDB

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6085335A (en) * 1997-10-02 2000-07-04 Nortel Networks Limited Self engineering system for use with a communication system and method of operation therefore
CN103500208A (en) * 2013-09-30 2014-01-08 中国科学院自动化研究所 Deep layer data processing method and system combined with knowledge base
CN103699663A (en) * 2013-12-27 2014-04-02 中国科学院自动化研究所 Hot event mining method based on large-scale knowledge base
CN104268642A (en) * 2014-09-16 2015-01-07 杭州文海信息技术有限公司 Road smoothness predicting method based on minimum variable coefficient assessment and inference model
CN104866630A (en) * 2015-06-16 2015-08-26 吉林大学 GIS (Geographic Information System) and ES (Expert System) automatic spatial modeling system and method for use in metallogenic prediction

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6085335A (en) * 1997-10-02 2000-07-04 Nortel Networks Limited Self engineering system for use with a communication system and method of operation therefore
CN103500208A (en) * 2013-09-30 2014-01-08 中国科学院自动化研究所 Deep layer data processing method and system combined with knowledge base
CN103699663A (en) * 2013-12-27 2014-04-02 中国科学院自动化研究所 Hot event mining method based on large-scale knowledge base
CN104268642A (en) * 2014-09-16 2015-01-07 杭州文海信息技术有限公司 Road smoothness predicting method based on minimum variable coefficient assessment and inference model
CN104866630A (en) * 2015-06-16 2015-08-26 吉林大学 GIS (Geographic Information System) and ES (Expert System) automatic spatial modeling system and method for use in metallogenic prediction

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
KHOROSHKO, LARISA 等: "Sulfur organic compounds in bottom sediments of the Eastern Gulf of Finland", 《ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH》 *
孙懿青: "基于规则引擎的自解析匹配推理原型系统研究-以土壤系统分类为例", 《中国优秀硕士学位论文全文数据库 基础科学辑》 *
王永志: "盐岩地质三维建模及分析平台研发与实现", 《地下空间与工程学报》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110765526A (en) * 2019-10-18 2020-02-07 北京申信达成科技有限公司 Ancient building structure analysis model reconstruction method based on knowledge rule driving
CN110765526B (en) * 2019-10-18 2023-03-10 北京申信达成科技有限公司 Ancient building structure analysis model reconstruction method based on knowledge rule driving
CN111583394A (en) * 2020-05-07 2020-08-25 金航数码科技有限责任公司 Knowledge manufacturability inspection method and system based on feature recognition
CN111583394B (en) * 2020-05-07 2023-11-17 金航数码科技有限责任公司 Knowledge technology inspection method and system based on feature recognition
CN112732939A (en) * 2021-01-15 2021-04-30 中国科学院空天信息创新研究院 Spatiotemporal knowledge graph construction method, device, medium and equipment based on GraphDB

Also Published As

Publication number Publication date
CN108154555B (en) 2021-08-10

Similar Documents

Publication Publication Date Title
Smith On the development of commercial expert systems
CN103744846B (en) A kind of multidimensional dynamic local knowledge map and construction method thereof
CN108154555A (en) A kind of complex geological structure three-dimensional modeling method under knowledge rule constraint
Albrecht Universal analytical GIS operations: A task-oriented systematization of data structure-independent GIS functionality
Sarjakoski Conceptual models of generalisation and multiple representation
CN109857870A (en) Visual Ontology for knowledge mapping constructs system and method
CN103744647B (en) A kind of Java workflow development system and method based on workflow visualization toolkit
CN202041837U (en) Intelligent power distribution grid operation ticket generation management system
He et al. Deep reinforcement learning for generalizable field development optimization
CN104866630B (en) GIS and the automatic spatial modeling system and methods of ES in metallogenic prognosis
CN114117645A (en) Ship overall performance prediction integrated application system
Angehrn Modeling by example: a link between users, models and methods in DSS
Dalal et al. Designing Case-based reasoning applications with Colibri Studio
CN115358477B (en) Fight design random generation system and application thereof
GB2369460A (en) Knowledge based project management system
CN113625620A (en) Operation control method and system of rotary drilling rig
Kunz et al. Contingent analysis for project management using multiple worlds
Kremenová Fuzzy modeling of soil maps
McCann et al. ISIS: The interactive spatial information system
Ramiaramanana et al. A COGNITIVE APPROACH FOR LANDSYSTEM IDENTIFICATION USING A GRAPH DATABASE–TOWARDS THE IDENTIFICATION OF LANDFORMS IN CONTEXT
KR102617823B1 (en) Recommendation System of Rail Infrastructure Building Information Modeling Education Contents
Dean et al. NETPAD: An interactive graphics system for network modeling and optimization
Donato et al. Discovering geographic knowledge: The INGENS system
Noppens et al. Interactive visualization of large OWL instance sets
Cheng Logic of Digital Landscape Architecture

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant