CN101794341A - Ontology based rotor bearing system oriented collaborative design method - Google Patents
Ontology based rotor bearing system oriented collaborative design method Download PDFInfo
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- CN101794341A CN101794341A CN 201010144308 CN201010144308A CN101794341A CN 101794341 A CN101794341 A CN 101794341A CN 201010144308 CN201010144308 CN 201010144308 CN 201010144308 A CN201010144308 A CN 201010144308A CN 101794341 A CN101794341 A CN 101794341A
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Abstract
The invention discloses an ontology based rotor bearing system oriented collaborative design method, including the following steps: (1) the existing data in rotor bearing system is extracted, and data extraction is completed; (2) ontology expression is carried out on the obtained data, and purification on the ontology is completed and then the ontology is stored in a ontology library; (3) the data extracted in the step (1) is classified, a heterogeneous database is established, a mapping model is established for the ontology library and the heterogeneous database, and mapping algorithm is realized; (4) the heterogeneous database established in the step (3) is managed, and rotor bearing system collaborative design is completed. The invention has the beneficial effects that: effective solution is provided for rotor bearing system collaborative design proposition, and ontology based complex product oriented knowledge fusion supported ontology mapping which not only can realize knowledge sharing and reusing but also can assist allopatry design main body to coordinate and distribute design knowledge is formed.
Description
Technical field: the invention belongs to mechanical field, relate to a kind of collaborative design method of complex product, particularly a kind of rotor bearing system collaborative design method towards complex product based on body.
Background technology: (1) along with computer technology, the communication technology develops rapidly, with the machine of diverse geographic location, different field designer's network closely links together.For often needing the expert of different field, the design effort of finishing a complexity carries out collaborative development.(Computer Supported Collaborative Work CSCW) has obtained development widely to computer supported cooperative work just under this background.Computer Supported Collaborative Design (Computer Supported CollaborativeDesign, CSCD) be the effective application of CSCW theory and technology in product development process, it is target with the customer demand, with institute's development product is core, organize the multidisciplinary technology of different professional domains to carry out strange land distributed collaboration design, it can make under the distributed environment different subjects can both be synchronously or participate in asynchronously among the design of product, thereby has improved the quality and the efficient of product development greatly.
(2) realization of knowledge base relates generally to expression, transmission, the reasoning of knowledge and the aspect such as obtains, and finds the solution with problem of implementation, satisfies user's demand.Body is the explicit declaration to generalities, promptly certain field in the real world is abstracted into one group of notion, with each conception of species in the field and mutual relationship explicitly, express formally, make that notion and notion, notion and object, object and relation between objects in the Problem Areas are clearer and more definite, thereby significantly reduce the misunderstanding that may cause, with the expression, storage, the retrieval that realize knowledge better and share to notion in the problem and logical relation.The effect of body in knowledge base has: the formalization method that 1) a kind of structurized expression domain knowledge is provided; Body has offered some clarification on field concept, and the relation between the notion, and supports the description to domain-planning, is the formalization representation of domain knowledge.
2) improved the reusability of knowledge; Body provides the describing method that is independent of application, it can be reused between different system, improved the level of knowledge reuse, this not only makes the developer alleviate work load, and has promoted effectively from exchanging between the researchist of different field and tissue.
3) support static knowledge is separated with operative knowledge; Like this, the knowledge of same operation aspect can be applied in the different fields.
4) improved the sharing of knowledge.
The system development personnel of different field and the communication between the researchist have been made things convenient for.Body also is man-machine on semantically mutual best basis.
Summary of the invention: the objective of the invention is provides solution effectively for rotor bearing system collaborative design proposition, formed a kind of based on body, towards complex product, support can assisting of knowledge fusion to realize knowledge sharing, reuse, can assist the ontology knowledge storehouse mapping of strange land design agents coordinated allocation design knowledge again.
A kind of based on body towards the rotor bearing system collaborative design method, according to following steps: (1) extracts available data in the rotor-bearing system, finishes data extract; (2) data of being obtained are carried out ontology representation, and finish refining, deposit in the ontology library body; (3) data of extracting in the step (1) are classified, set up heterogeneous database, for ontology library and heterogeneous database are set up mapping model, the realization mapping algorithm; (4) heterogeneous database of setting up in the step (3) is managed, finish the collaborative design of rotor-bearing system.
Described step (1) is meant that design data, product model document and data, performance analysis data, expertise and the design experiences to rotor-bearing system extracts.
The data that described step (2) is obtained are meant: database, calculation procedure, design data, design experiences, successful case, personnel, test, customer information.
Described step (3) is according to following steps: (a) data qualification, and deposit the data of classification in Relational DBMS according to mutual relationship; Be referred to as the subclass name of associated class when (b) making up ontology library with the tables of data name, and the name of each row is referred to as the attribute of class in the tables of data, the value type of each row is with consistent with the type of the corresponding example value of attribute; (c) body of having set up is operated, be connected, utilize Structured Query Language (SQL) that tables of data in the database is operated, realize the mapping of ontology library and knowledge base with data base management system (DBMS); (d) realization of mapping algorithm.
The invention has the beneficial effects as follows: for rotor bearing system collaborative design proposition provides solution effectively, formed a kind of based on body, towards complex product, support can assisting of knowledge fusion to realize knowledge sharing, reuse, can assist the ontology knowledge storehouse mapping of strange land design agents coordinated allocation design knowledge again.
Description of drawings: Fig. 1 is whole realization flow figure of the present invention; Fig. 2 is ontology library and knowledge base mapping algorithm process flow diagram; Fig. 3 is a heterogeneous database coordinated management process flow diagram; Fig. 4 is the major function figure of collaborative design knowledge base; Fig. 5 is the architecture of rotor bearing system collaborative design knowledge base; Fig. 6 designs body associated class and attribute for sliding bearing; Fig. 7 is the mapping model of ontology library and knowledge base.
Embodiment: below in conjunction with accompanying drawing the present invention is done to describe in further detail: referring to Fig. 1,2,3,4,5,6,7, a kind of based on body towards the rotor bearing system collaborative design method, realize according to following steps: (1) extracts aspect knowledge informations such as machinery in the available data, control, power, electric, material; Design data, product model document and data, performance analysis data, expertise and design experiences etc. to aspects such as machinery, control, power, electric, materials extract.In the product collaborative performance history, the designer operates part knowledge and data in the product design process according to certain authority according to role of oneself and bearing of task.
(2) finish after the Knowledge Extraction, the knowledge of being obtained is carried out ontology representation, and finish refining, deposit in the ontology library body; With the sliding bearing in the rotor-bearing system is example, and the process of ontology representation, refining storage is described: the sliding bearing main design contents has: (1) selects bearing type; (2) selected lubricating oil and calculation of parameter thereof; (3) select bearing parameter; (4) quiet dynamic performance parameters calculates; (5) parameter is checked.After the parameter check met the demands, also need carry out axle was dynamics Design, that is: Calculation on stability, critical Speed Calculation and unbalance response calculate.If the calculating of this three aspect all meets the demands, just can carry out the drawing protract of parts such as rotor, bearing and bearing seat.Lubricating oil and quiet dynamic performance parameters calculate and can also can calculate by the bearing performance calculation procedure by corresponding data table interpolation in the database is obtained.The design knowledge base that this paper makes up is used to support rotor bearing system collaborative design, access speed there is certain requirement, professional in addition again bearing performance calculation procedure having relatively high expectations to the designer, be unfavorable for general designer's use, so this paper studies to the structure of bearing performance database.The associated class and the attribute of sliding bearing design body are seen Fig. 6.Six design procedure classes of sliding bearing all are the subclasses of class " sliding bearing design ", inherit its attribute, each design procedure class is divided into " input ", " output ", " calculating " class again as required, the attribute of " input " and " output " class comprises relevant parameters, the attribute of " calculating " class mainly is " calling ", the example is the memory address of corresponding program, so that can carry out computing during calling program.
(3) data of extracting in (1) are classified, set up database, and the mapping model that adopts Jena semantic net framework to set up for the ontology library that made up and knowledge base, the realization mapping algorithm; 1) data qualification, and with the classification data deposit Relational DBMS in according to mutual relationship; Be referred to as the subclass name of associated class when 2) making up ontology library with the tables of data name, and the name of each row is referred to as the attribute of class in the tables of data, the value type of each row is with consistent with the type of the corresponding example value of attribute.
3) body of having set up is operated, be connected, utilize Structured Query Language (SQL) that tables of data in the database is operated, realize the mapping of ontology library and knowledge base with data base management system (DBMS).Fig. 7 is the mapping model of ontology library and knowledge base.
4) the realization ontology library of mapping algorithm and the mapping program of knowledge base are developed by object oriented programming languages, need realize operation to ontology library and database based on corresponding key procedure bag.Here mainly use the body subsystem of Jena and the correlation function of reasoning subsystem.Here use two important java classes among the Jena: 1) ontology model OntModelOntModel expands rdf model, and the function of handling ontology data is provided.When using semantic net kit (this place Jena software package) to handle body, at first set up an ontology model, then method operation model by defining in the ontology model.For example: Jena creates ontology model by the ModelFactory class in the model bag.Be the statement of creating ontology model: an OntModel ontModel=ModelFactory.createOntologyModel () below; This statement is containing parameter not, uses default setting and creates an ontology model, uses the OWL language, based on internal memory that is:, supports the RDFS reasoning.
The present invention obtains body from body express language (having used the OWL language herein) file, calls the Read method that OntoModel provides when reading.For example: ontModel.read (" file:D:/rotor-bearing.owl "); Above-mentioned coded representation reads the rotor-bearing.owl file that is positioned under the D packing catalogue and sets up ontology model.
2) defined operation relevant with class in the body in this interface of interface OntClass, can return the iterator that all classes are formed in the model by the listClasses () among the OntModel, the whole bag of tricks that calls OntClass then carries out concrete operations.
JDBC is the java application interface that is used to carry out SQL statement, can be multiple relational database unified access interface is provided, and it is made up of one group of class and interface of writing with Java language.JDBC utilizes it to realize operation to tables of data in the database for the database development personnel provide the application programming interfaces of a standard, the present invention.
(4) heterogeneous database of setting up in above is managed, successfully support the collaborative design of rotor-bearing system; The rotor-bearing system ontology library provides unified interface for the associated treatment that realizes system emulation data and test figure, can realize coordinated management, inquiry and operation to heterogeneous database by body semantic reasoning machine (Jena).
In the rotor-bearing system design process, the system user visit dynamic web page of bearing a certain role sends request, by application programming interfaces user's request is sent to Web server.Application program on the server is carried out logic determines, and user's request is discerned, and draws access object.Based on body semantic reasoning machine (Jena) corresponding body in recognition result and the rotor-bearing system ontology library is mated, obtain emulated data or test figure body relevant class and attribute.By interface associated databases is connected then and visit, the connection of different isomerization database is also different with access mode, obtains to return to the user by interface and application programming interfaces again behind the desired data in the database.Here the rotor-bearing system ontology library is equivalent to an interface, the data structure and the key message of heterogeneous database have been caught, the user can operate body by body semantic reasoning machine (Jena), visit is to the data in the heterogeneous database of instances of ontologyization, thus the coordinated management of realization heterogeneous database.
Above content is to further describing that the present invention did in conjunction with concrete preferred implementation; can not assert that the specific embodiment of the present invention only limits to this; for the general technical staff of the technical field of the invention; without departing from the inventive concept of the premise; can also make some simple deduction or replace, all should be considered as belonging to the present invention and determine scope of patent protection by claims of being submitted to.
Claims (4)
- One kind based on body towards the rotor bearing system collaborative design method, it is characterized in that, according to following steps:(1) extracts available data in the rotor-bearing system, finish data extract;(2) data of being obtained are carried out ontology representation, and finish refining, deposit in the ontology library body;(3) data of extracting in the step (1) are classified, set up heterogeneous database, for ontology library and heterogeneous database are set up mapping model, the realization mapping algorithm;(4) heterogeneous database of setting up in the step (3) is managed, finish the collaborative design of rotor-bearing system.
- 2. a kind of according to claim 1 based on body towards the rotor bearing system collaborative design method, it is characterized in that: described step (1) is meant that design data, product model document and data, performance analysis data, expertise and the design experiences to rotor-bearing system extracts.
- 3. a kind of according to claim 1 based on body towards the rotor bearing system collaborative design method, it is characterized in that: the data that described step (2) is obtained are meant: database, calculation procedure, design data, design experiences, successful case, personnel, test, customer information.
- 4. a kind of according to claim 1 based on body towards the rotor bearing system collaborative design method, it is characterized in that described step (3) is according to following steps:(a) data qualification, and with the classification data deposit Relational DBMS in according to mutual relationship;Be referred to as the subclass name of associated class when (b) making up ontology library with the tables of data name, and the name of each row is referred to as the attribute of class in the tables of data, the value type of each row is with consistent with the type of the corresponding example value of attribute;(c) body of having set up is operated, be connected, utilize Structured Query Language (SQL) that tables of data in the database is operated, realize the mapping of ontology library and knowledge base with data base management system (DBMS);(d) realization of mapping algorithm.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104346438A (en) * | 2014-09-14 | 2015-02-11 | 北京航空航天大学 | Data management service system based on large data |
| CN104881515A (en) * | 2015-04-20 | 2015-09-02 | 广东工业大学 | Manufacturability-considered ontology-based design method |
| CN107239937A (en) * | 2017-06-12 | 2017-10-10 | 北京理工大学 | A kind of product design method for supporting Collaborative Design Knowledge shared |
| CN108647395A (en) * | 2018-04-11 | 2018-10-12 | 北京仿真中心 | A kind of construction method of the design ontology of Complex Product design process |
| CN114326581A (en) * | 2021-12-22 | 2022-04-12 | 科德数控股份有限公司 | Tip grinding process method based on numerical control machine tool |
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| CN101661520A (en) * | 2009-09-28 | 2010-03-03 | 西安交通大学 | Synergetic design method for mechanical and electrical products |
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| CN101661520A (en) * | 2009-09-28 | 2010-03-03 | 西安交通大学 | Synergetic design method for mechanical and electrical products |
Non-Patent Citations (3)
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| 《浙江大学学报（工学版）》 20070228 钱亚东等 支持协同设计的知识管理研究 第304-310页 1-4 第41卷, 第2期 2 * |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104346438A (en) * | 2014-09-14 | 2015-02-11 | 北京航空航天大学 | Data management service system based on large data |
| CN104346438B (en) * | 2014-09-14 | 2017-06-23 | 北京航空航天大学 | Based on big data data management service system |
| CN104881515A (en) * | 2015-04-20 | 2015-09-02 | 广东工业大学 | Manufacturability-considered ontology-based design method |
| CN104881515B (en) * | 2015-04-20 | 2018-10-12 | 广东工业大学 | A kind of design method based on ontology considering manufacturability |
| CN107239937A (en) * | 2017-06-12 | 2017-10-10 | 北京理工大学 | A kind of product design method for supporting Collaborative Design Knowledge shared |
| CN108647395A (en) * | 2018-04-11 | 2018-10-12 | 北京仿真中心 | A kind of construction method of the design ontology of Complex Product design process |
| CN114326581A (en) * | 2021-12-22 | 2022-04-12 | 科德数控股份有限公司 | Tip grinding process method based on numerical control machine tool |
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