CN106447174A - Ontology modeling method for high-value-added steel product production technology knowledge based on three-dimensional framework - Google Patents
Ontology modeling method for high-value-added steel product production technology knowledge based on three-dimensional framework Download PDFInfo
- Publication number
- CN106447174A CN106447174A CN201610805387.7A CN201610805387A CN106447174A CN 106447174 A CN106447174 A CN 106447174A CN 201610805387 A CN201610805387 A CN 201610805387A CN 106447174 A CN106447174 A CN 106447174A
- Authority
- CN
- China
- Prior art keywords
- iron
- knowledge
- production technology
- steel
- class
- 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
Links
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 136
- 239000010959 steel Substances 0.000 title claims abstract description 136
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 107
- 238000005516 engineering process Methods 0.000 title claims abstract description 84
- 238000000034 method Methods 0.000 title claims abstract description 39
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 174
- 229910052742 iron Inorganic materials 0.000 claims abstract description 87
- 238000013507 mapping Methods 0.000 claims abstract description 33
- 238000011161 development Methods 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 230000008569 process Effects 0.000 claims description 13
- 238000003723 Smelting Methods 0.000 claims description 9
- 238000007726 management method Methods 0.000 claims description 9
- 230000008520 organization Effects 0.000 claims description 9
- 238000005097 cold rolling Methods 0.000 claims description 7
- 238000009749 continuous casting Methods 0.000 claims description 7
- 238000007670 refining Methods 0.000 claims description 7
- 238000009628 steelmaking Methods 0.000 claims description 7
- 238000005098 hot rolling Methods 0.000 claims description 6
- 230000007613 environmental effect Effects 0.000 claims description 4
- 230000003447 ipsilateral effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 239000000356 contaminant Substances 0.000 claims description 2
- 230000006870 function Effects 0.000 claims description 2
- 230000036541 health Effects 0.000 claims description 2
- 238000013506 data mapping Methods 0.000 abstract description 3
- 230000008093 supporting effect Effects 0.000 abstract description 2
- 238000010438 heat treatment Methods 0.000 description 16
- 238000010276 construction Methods 0.000 description 6
- 238000003745 diagnosis Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 241000707825 Argyrosomus regius Species 0.000 description 1
- 229910001341 Crude steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000000275 quality assurance Methods 0.000 description 1
- 238000003303 reheating Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000013550 semantic technology Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to an ontology modeling method for high-value-added steel product production technology knowledge based on a three-dimensional framework. The method comprises the steps that the three-dimensional framework based on the product-process-objective high-value-added steel product production technology knowledge is built; according to the three-dimensional framework, the high-value-added steel product production technology knowledge is subjected to conceptual analysis, concepts of the high-value-added steel product production technology knowledge are extracted, classes, relations, properties and individuals are defined, the hierarchical structure of all the classes and object properties and data properties of the individuals are clarified, and a concept model of the high-value-added steel product production technology knowledge is built; according to the rules of mapping from the concept model to an ontology model, an ontology model of the high-value-added steel product production technology knowledge is built; the ontology model of the high-value-added steel product production technology knowledge and actual production data are subjected to data mapping, and RDF data is generated. Through the method, the semantic discrepancy of the multi-source heterogeneous high-value-added steel product production technology knowledge is eliminated, and therefore an important supporting effect is achieved for innovative development of knowledge-based high-value-added products of iron and steel enterprises.
Description
Technical field
The invention belongs to steel industry Knowledge Management Technology field, specially a kind of iron and steel based on three-dimensional framework is high to be added
The ontology modeling method of value product processes knowledge.
Background technology
Iron and steel enterprise is the mainstay industry of Chinese national economy development, and China's crude steel yield reaches 7.75 hundred million within 2013
Ton, accounts for Gross World Product 48%, and the continuous 17 years world produces steel and ranks the first.Currently, complete with world market economic pattern
Face adjusts, and Iron and Steel Enterprises in China faces the even loss etc. of shortage of resources, environmental protection, production capacity surplus, product low side, enterprise's meagre profit
Severe challenge, the development of iron and steel enterprise is had difficulty in taking a step.In this regard, except taking various means to solve production capacity surplus and environmental problem
Outward, lifting iron and steel enterprise high-grade, high value added product production capacity be solve iron and steel enterprise's Transformation Development, to strengthen core competing
Strive the effective way of power.
High-grade, high added value steel are mainly some production difficulties greatly, and performance requirement is high, the high product form of profit,
Including：High toughness, lighting Automobile Plate, superhigh intensity, toughness steel, engineering machinery high-strength steel, High Strength Container plate and
Railway compartment steel and in/heavy truck steel etc..It is high-end that high added value steel products are in value chain, and its production technology is multiple
Miscellaneous, with high content of technology, knowledge-intensive.The productive prospecting of comprehensive analysis high added value steel products, either high value added product
Itself or its production process are all put forward higher requirement to intelligent level.Compare general steel product, high added value steel
Iron product is developed to Knowledge based engineering innovation has more urgent demand.In this sense, for improving the skill of steel products
Art content and high added value, its production process is not only simply to be converted into steel from ore through processing, more important
Be a kind of Knowledge Creation, the shared and process that updates.
The production technology Knowledge Source of high added value steel products is complicated, and structure is heterogeneous.According to its source, it is broadly divided into：
Domain knowledge, expertise, the Knowledge Discovery of data-driven；According to its structure type, it is broadly divided into：Structuring, semi-structured,
Destructuring；According to its type of service, it is broadly divided into：Production standard, path, quality assurance, the production schedule, operation are known
Knowledge, equipment knowledge, the Organization And Management producing, working specification etc..As can be seen here, high added value steel products production technology knowledge
Multi-source increased difficulty and the complexity that iron and steel enterprise carries out Knowledge Innovation Activities.Physically, existing iron and steel enterprise
The production technology knowledge of industry is mainly distributed in different application systems, and, the knowledge of separate sources and type is semantically
There is obvious inconsistency, cause the distribution on a large scale of " Islands of Knowledge ", how effectively the polyphyly of organization and management knowledge,
The Semantic Heterogeneous of normative knowledge, strengthen knowledge and the important support of high added value steel products autonomous innovation are acted on, be iron and steel
Enterprise is currently needed for a difficult problem for key breakthrough, is also the study hotspot in information management subject field.
For the representation of knowledge or knowledge Modeling problem, academia expands in-depth study.At present, Knowledge Representation Model master
Including the model based on framework, based on matrix norm type, the model based on level, the model based on state, be based on
The model of Folksonomies, the model based on key element and the model based on body.Wherein, body is due to can preferably solve
The heterogeneity of knowledge receives the extensive concern of scholar.《Systems,Man,and Cybernetics:Systems》Deliver
《Ontology-Based Schema to Support Maintenance Knowledge Representation With a
Case Study of a Pneumatic Valve》The knowledge of text data is extracted and is utilized body to knowledge Modeling,
Solve semanteme inconsistence problems therein using inference mechanism；《Expert Systems with Applications》Deliver
《Expert system for medicine diagnosis using software agents》In conjunction with body and Bayes
Network graphics drawing, is that probabilistic knowledge provides expression and inference method；《Semantic Technology》Deliver
《Ontology Based Inferences Engine for Veterinary Diagnosis》The field using ontological construction
Knowledge model, and provided the user diagnosis decision support by designing inference engine；《Expert Systems with
Applications》Deliver《An ontology-based CBR approach for personalized itinerary
search systems for sustainable urban freight transport》Provide a kind of basis based on event
Body inference pattern, improves the accuracy of knowledge retrieval；《Expert Systems with Applications》Deliver《An
ontology-based approach to conflict resolution in Home and Building
Automation Systems》Achieve the environment sense of intelligence system using the reasoning of ontology model and the feature of knowledge Modeling
Know, machine according to the information automatic sensing of people and decision-making, can change the environment of surrounding.Additionally, it is multiple for extensive and relation
Miscellaneous knowledge hierarchy, some scholars start from the angle of network, the representation of knowledge to be studied.《Expert Systems with
Applications》Deliver《APN model construction for malicious email detection》Build
The representation of knowledge based on improved Petri net and modeling expert system, solve the reasoning to complex relationship network；
《Knowledge-based systems》Deliver《Hy-SN:Hyper-graph based semantic network》Design
A kind of semantic construction method based on Hypergraph Theory is it is achieved that the knowledge representation and reasoning of many causes and effects factor.Above-mentioned literary composition
Offer, mainly for ontology representation method, research is launched to knowledge Modeling, be mainly used in knowledge reasoning activity, knowledge Modeling is not associated with
Industry and field feature, do not consider the organization and management problem of the huge multi-source heterogeneous knowledge of the scale of construction yet.For different works
Industry field, the multi-source of knowledge has the industrial nature of its own, and as knowledge scale is increasingly huge and knowledge relation
Increasingly complicated, being effectively organized in of knowledge increasingly highlights in problem of management, and existing knowledge represents does not consider this demand.
In sum, patent of the present invention can make up existing knowledge modeling not yet consideration industry characteristic and knowledge organization not
Foot, ties up three dimensions and sets up multi-source heterogeneous iron and steel high value added product production technology knowledge from product dimension, operation peacekeeping target
Organization framework；In terms of knowledge representation, based on the modeling method of body, introduce product, operation, the dimensional attribute of target, build
The ontology model of vertical iron and steel high value added product production technology knowledge.It is high that the ontologies modeling method proposing is directed to steel industry
The production technology knowledge feature of value-added product, has industry characteristic, simultaneously takes account of the significantly multi-source heterogeneous characteristic of knowledge.
Content of the invention
The purpose of the present invention is exactly to make up the limitation that above-mentioned prior art exists, provide a kind of based on three-dimensional framework
The ontology modeling method of iron and steel high value added product production technology knowledge.
A kind of Ontology Modeling of iron and steel high value added product production technology knowledge based on three-dimensional framework proposed by the present invention
Method, comprises the following steps that：
(1)：Set up the three-dimensional framework of the iron and steel high value added product production technology knowledge based on product, operation and target；
Described three-dimensional framework is tieed up three dimensions and is realized multi-source heterogeneous iron and steel high value added product production from product dimension, operation peacekeeping target
The classification of process knowledge, Organization And Management；
(2)：The structure of conceptual model：Iron and steel high value added product production technology knowledge is carried out by concept according to three-dimensional framework
Analysis, extracts to its concept, obtains basic semantic, described basic semantic includes class, relation, attribute and example, clearly
Hierarchical structure between class, relation and attribute, the object properties between example and numerical attribute, set up iron and steel high added value and produce
The conceptual model of product production technology knowledge；
(3)：The structure of ontology model：The structure of the ontology model of iron and steel high value added product production technology knowledge is with step
(2) conceptual model obtaining as guidance, according to the mapping ruler of conceptual model to ontology model, thus it is high additional to set up iron and steel
The ontology model of value product processes knowledge；
(4)：The ontology model of the iron and steel high value added product production technology knowledge that step (3) is obtained and actual production number
According to carrying out data mapping, generate RDF data；
(4.1) mapping ruler is formulated according to D2RQ mapping language, main contents include URI template, class mapping (d2rq:
ClassMaps) and attribute mapping (d2rq:PropertyBridge)；
URI template：In associated data, resource is identified with URI template to conduct interviews, wherein, d2rq:
UriPattern is described as a URI template, and shape such as FurnaceTable/@@FurnaceTable.furnaceID@@, before "/"
Face represents table name, represents the row in table between "@@"；
Class maps：d2rq:ClassMap in ClassMaps represents similar one group of class in a class or body, with pass
It is that in database, table is corresponding, important attribute d2rq in class mapping:Class represents the corresponding Class of current class mapping,
Its value can come from the class in existing ontology model it is also possible to define new Class according to data characteristics；
Attribute maps：d2rq:PropertyBridge represents the attribute of Class in ontology model, it and relational database
In certain table row corresponding, attribute mapping may be summarized to be several basic attributes：d2rq:BelongsToClassMap table
Show the ClassMap belonging to this PropertyBridge；d2rq:Property represents corresponding to this PropertyBridge
Property, its value can come from the attribute in existing ontology model it is also possible to define new according to data characteristics
property；d2rq:Column represents the row in certain concrete table of this PropertyBridge association；
(4.2) mapped file is write according to (4.1) described mapping ruler；
(4.3) it is based on Jena development platform, calls D2RQ mapping engine, be loaded into ontology model and mapped file, set up this
Body Model and the connection of data source, actual production data are mapped as the instance data of body, generate RDF data.
In the present invention, the dimension of product described in step (1) describes the product type of iron and steel high value added product, described product
Type includes：High toughness, lighting Automobile Plate, superhigh intensity, toughness steel, engineering machinery high-strength steel, High Strength Container
Plate and railway compartment steel and in/heavy truck steel；
The dimension of operation described in step (1) describes smelting to the work producing high added value steel products from ore
Sequence, described operation includes：Ironmaking, steel-making, refining, continuous casting, hot rolling and cold rolling；
Target described in step (1) ties up the manufacture characteristic according to iron and steel high value added product, and described manufacture characteristic is divided into intelligence
Energyization, greenization and safe；Wherein：Intellectuality describes the producing line of iron and steel high value added product and technological equipment should be able to be real
Existing automation mechanized operation and control, the function of Information Collecting ＆ Processing；Greenization requires producing line and the technique of iron and steel high value added product
The operation of equipment should be able to reduce energy resource consumption, reduces environmental contaminants discharge；Safe requires iron and steel high value added product
Producing line and technological equipment possess emergency capability of taking refuge of taking precautions against natural calamities, body and mind safety and the health of protection producers, set up lossless, no
The operating environment do harm to, do not hindered, do not die；
Three-dimensional framework described in step (1) provides iron and steel high value added product from product, operation, three dimensions of target respectively
The method for organizing of production technology knowledge, the particular content of each dimension describes the not ipsilateral of production technology knowledge；Work as product
The specific descriptions of product dimension are set as a certain product type of iron and steel high value added product, production technology knowledge package contain all and such
The related knowledge content of the product type of iron and steel high value added product；When the specific descriptions of operation dimension are set as iron and steel high added value
Certain operation of product, production technology knowledge package relevant knowledge content in this operation containing all iron and steel high value added products；
When the specific descriptions of target dimension are set as a certain manufacture characteristic of iron and steel high value added product, production technology knowledge package contains all steel
Related to the manufacture characteristic knowledge content in whole operations of iron high value added product；For example：When the specific descriptions of product dimension set
In being set to/heavy truck steel, production technology knowledge package is containing all knowledge contents related to such product；Tool when operation dimension
Body description is set as smelting iron, production technology knowledge package relevant knowledge content in Iron-smelting containing all products；When target dimension
Specific descriptions be set as safe, know related to safety feature in whole operations containing all products of production technology knowledge package
Know content；The description of the particular content of three dimensions combination defines a certain class production technology knowledge；For example：When above three dimension
Degree simultaneously specifically describe when, production technology knowledge package contain be directed in/heavy truck product made from steel in Iron-smelting with safe
Related knowledge content.
In the present invention, the basic language of the iron and steel high value added product production technology knowledge concepts model described in step (2)
Justice is：
Define 1：Conceptual model
According to three-dimensional framework, build the conceptual model of iron and steel high value added product production technology knowledge, its basic semantic isWherein：X describes product dimension, x={ x1,
x2,x3,x4,x5Correspond respectively to that { engineering machinery is with high-strength for high toughness, lighting Automobile Plate, superhigh intensity, toughness steel
Steel, High Strength Container plate and railway compartment steel, in/heavy truck steel }；Y describes operation dimension, y={ y1,y2,y3,y4,
y5,y6Correspond respectively to ironmaking, steel-making, refining, continuous casting, hot rolling, cold rolling；Z describes target dimension, z={ z1,z2,z3Respectively
Corresponding to { greenization, intelligent, safe }；C describes class (Class, C), represents the class belonging to this conceptual model；SUP
Describe parent (Superclass, SUP), represent the parent of the affiliated class of this conceptual model；SUB describe subclass (Subclass,
SUB), represent the subclass of the affiliated class of this conceptual model；POP and BOP all describes object properties (Object Property, OP),
Represent the object properties that this conceptual model is had, POP represents the relation in current class and parent between example, BOP represents and works as
Relation between example in front class and subclass；DP describes numerical attribute (Data Property, DP), represents this conceptual model
The numerical attribute being had；I describes example (Individual, I), represents the object that this conceptual model is had.Concept mould
Type formula is：For example：Fx1y2z1(C,SUP,
SUB, POP, BOP, DP, I) represent be directed to x1Product is in y2With z in operation1Related conceptual knowledge, different conceptual models it
Between be associated with C, SUP, SUB, POP, BOP, DP, I and organize, that is, pass through class hierarchy relation and Attribute Association relational implementation be general
Read the inner link of knowledge；The Definitions of Conceptual Model of iron and steel high value added product production technology knowledge is the set of conceptual knowledge,
I.e.：
In the present invention, the construction method of the iron and steel high value added product production technology knowledge concepts model described in step (2)
It is specially：
(4.1) set up the F of subrangexiyjzk(C,SUP,SUB,POP,BOP,DP,I)
The a certain office in three-dimensional framework is collected successively from expertise, technical documentation, bibliography and creation data
The conceptual knowledge of portion's scope (a certain specific descriptions of corresponding three dimensions), extracts to the related notion in conceptual knowledge,
Determine its parent, subclass, object properties, numerical attribute and example, specify parent, subclass, object properties, numerical attribute, with
And the object properties between example and numerical attribute；
(4.2) set up global scope
The conceptual model F of the subrange that integrated step (4.1) is set upxiyjzk(C, SUP, SUB, POP, BOP, DP, I), obtains iron and steel
The conceptual model of the global scope of high value added product production technology knowledge is：
Wherein,
C：Represent the class belonging to this conceptual model；
SUP：Represent the parent of the affiliated class of this conceptual model；
SUB：Represent the subclass of the affiliated class of this conceptual model；
POP：Represent the relation between example in current class and parent；
BOP：Represent the relation between example in current class and subclass；
DP：Represent the numerical attribute that this conceptual model is had；
I：Represent the object that this conceptual model is had.
In the present invention, the mapping ruler of conceptual model described in step (3) to ontology model, as shown in table 1：
Table 1 conceptual model is to the mapping ruler of ontology model
In upper table, the ontology model of iron and steel high value added product production technology knowledge adopts OWL Ontology Modeling language, its
In, conceptual model Fxiyjzk(C, null, null, null, null, null, null) represents that working as three dimensions is respectively xi,yj,zk
When, for the description of class C；SubClassOf represents the hierarchical structure between parent and subclass；ObjectProperty represents right
As attribute, the relation between description individuality；DataProperty represents data attribute, the individual pass and data type between of description
System.
The beneficial effects of the present invention is：The present invention makes production technology knowledge enter according to product, operation, three dimensions of target
Row tissue, realizes the various dimensions management of knowledge, is the multi-source heterogeneous expression of iron and steel high value added product production technology knowledge, divides
Class and tissue provide general method, and the semanteme eliminating multi-source heterogeneous iron and steel high value added product production technology knowledge is inconsistent
Property, thus the important supporting role of offer is developed in the innovation to iron and steel enterprise's Knowledge based engineering high value added product.
Brief description
The organization framework based on the iron and steel high value added product production technology knowledge of product sequence target for the Fig. 1.
The specific descriptions of tri- dimensions of Fig. 2 determine a certain subrange in three-dimensional framework.
The iron and steel high value added product production technology Ontology Model of Fig. 3 subrange.
Fig. 4 ontology model maps flow process with the data of actual production data.
The mapping of class in Fig. 5 D2RQ mapped file.
The mapping of attribute in Fig. 6 D2RQ mapped file.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment 1：A kind of ontology modeling method of the iron and steel high value added product production technology knowledge based on three-dimensional framework,
Comprise the following steps,
Step 1：Set up the tissue frame of the iron and steel high value added product production technology knowledge based on product sequence target
Frame.
Step 1 ties up three multi-source heterogeneous iron and steel high value added products of dimensions offer from product dimension, operation dimension, target respectively
The method for organizing of production technology knowledge, as shown in Figure 1.Wherein：Three-dimensional framework={ target is tieed up, and operation is tieed up, and product is tieed up }.Target is tieed up
={ greenization, intelligent, safe }；Operation dimension=ironmaking, steel-making, refining, continuous casting, hot rolling, cold rolling；Product dimension={ high
Toughness, lighting Automobile Plate, superhigh intensity, toughness steel, engineering machinery high-strength steel, High Strength Container plate and railway compartment
With steel, in/heavy truck steel }.
The particular content of each of three-dimensional framework dimension describes the not ipsilateral of production technology knowledge.For example：Work as product
During the specific descriptions of product dimension are set as/heavy truck steel, production technology knowledge package is containing all knowledge related to such product
Content；When the specific descriptions of operation dimension are set as smelting iron, production technology knowledge package correlation in Iron-smelting containing all products
Knowledge content；When the specific descriptions of target dimension are set as safe, production technology knowledge package contains all products in whole operations
The knowledge content related to safety feature.Further, the description of the particular content of three dimensions combination defines a certain class and produces
Process knowledge.For example：When above three dimension specifically describes simultaneously, production technology knowledge package contain be directed in/heavy truck use
The security-related knowledge content in Iron-smelting of product made from steel, as shown in Figure 2.
Step 2：Iron and steel high value added product production technology knowledge is carried out generally by the structure of conceptual model according to three-dimensional framework
Read analysis, its concept extracted, define class, relation, attribute and example, specify all kinds of between hierarchical structure, individual
Between object properties and numerical attribute, set up the conceptual model of iron and steel high value added product production technology knowledge.
The construction method of iron and steel high value added product production technology knowledge concepts model is specially：
1) set up the F of subrangexiyjzk(C,SUP,SUB,POP,BOP,DP,I)
Work as i=1, when j=1, k=1, that is, from high toughness, lighting automobile panel products Iron-smelting with greenization
Concept is extracted, its conceptual model is in the related knowledge of target：
Work as i=1, when j=2, k=1, that is, from high toughness, lighting automobile panel products steel making working procedure with greenization
Concept is extracted, its conceptual model is in the related knowledge of target：
Work as i=1, when j=3, k=1, that is, from high toughness, lighting automobile panel products refining procedure with greenization
Concept is extracted, its conceptual model is in the related knowledge of target：
Work as i=1, when j=4, k=1, that is, from high toughness, lighting automobile panel products continuous casting working procedure with greenization
Concept is extracted, its conceptual model is in the related knowledge of target：
Work as i=1, when j=5, k=1, that is, from high toughness, lighting automobile panel products hot-rolled process with greenization
Concept is extracted, its conceptual model is in the related knowledge of target：
Work as i=1, when j=6, k=1, that is, from high toughness, lighting automobile panel products cold rolling process with greenization
Concept is extracted, its conceptual model is in the related knowledge of target：
2) set up the conceptual model of global scope
With integrated high toughness, lighting automobile panel products in ironmaking, steel-making, refining, continuous casting, hot rolling, cold rolling process
As a example the knowledge model related to greenization target, obtain conceptual model
Step 3：The structure of ontology model, the structure of the ontology model of iron and steel high value added product production technology knowledge is with it
As guidance, the mapping ruler according to conceptual model to ontology model produces conceptual model thus setting up iron and steel high value added product
The ontology model of process knowledge.
Corresponding to the conceptual model built upAccording to table 1
Conceptual model to the mapping ruler of ontology model, set up ontology model as shown in Figure 3.
Step 4：The ontology model of iron and steel high value added product production technology knowledge and actual production data are carried out data
Mapping, generates RDF data.
Ontology model maps flow process as shown in figure 4, specially step is with the data of actual production data：
1) customize D2RQ mapping ruler.Taking the mapping of table 2FurnaceTable as a example illustrate：As shown in figure 5, by table
In 2FurnaceTable, different types of heating furnace is mapped as the example of " heating furnace " class.Wherein, the name label of example is
Furnace, corresponding to " d2rq:ClassDefinitionLable ' Furnace ' " sentence；Example be mapped in body " plus
Hot stove " class, corresponding to " d2rq:class ex:Heating furnace " sentence；Value in example is in table 2FurnaceTable
FurnaceType field, corresponding to " d2rq:uriPattern‘FurnaceTable/@@
FurnaceTable.furnaceType@@' " sentence.As shown in fig. 6, heating furnace ID value (furnaceID) is " heating furnace " class
Attribute, corresponding to " d2rq:property ex:FurnaceID " sentence, its property value is in table 2FurnaceTable
FurnaceID field, corresponding to " d2rq:Pattern '@@FurnaceTable.furnaceID@@' " sentence；Heating furnace type
(furnaceType) it is the attribute of " heating furnace " class, corresponding to " d2rq:property ex:FurnaceType " sentence, its genus
Property value is the furnaceType field in table 2FurnaceTable, corresponding to " d2rq:pattern‘@@
FurnaceTable.furnaceType@@' " sentence；Heating furnace numbering (furnaceNumber) is the attribute of " heating furnace " class,
Correspond to " d2rq:property ex:FurnaceNumber " sentence, its property value is in table 2FurnaceTable
FurnaceNumber field, corresponding to " d2rq:Pattern '@@FurnaceTable.furnaceNumber@@' " sentence.
2) table 2 heating furnace information table
| Heating furnace ID | Heating furnace model | Heating furnace is numbered |
| 1 | One-part form heating furnace | #001 |
| 2 | Two-period form heating furnace | #002 |
| 3 | Multi-zone reheating furnace | #003 |
| 4 | Walking beam heating furnace | #004 |
| 5 | Pusher-type furnace | #005 |
3) mapped file is write according to above-mentioned D2RQ mapping ruler.
4) it is based on Jena development platform, calls D2RQ mapping engine, be loaded into ontology model and mapped file, set up body mould
Type and the connection of data source, actual production data are mapped as the instance data of body, generate RDF data.
The RDF data that step 4 generates can be used for knowledge reasoning, knowledge query and big data analysis, there is provided a kind of
Convenient effective organization and administration means.
Claims (5)
1. a kind of ontology modeling method of the iron and steel high value added product production technology knowledge based on three-dimensional framework, its feature exists
In comprising the following steps that：
(1)：Set up the three-dimensional framework of the iron and steel high value added product production technology knowledge based on product, operation and target；Described
Three-dimensional framework is tieed up three dimensions and is realized multi-source heterogeneous iron and steel high value added product production technology from product dimension, operation peacekeeping target
The classification of knowledge, Organization And Management；
(2)：The structure of conceptual model：According to three-dimensional framework, iron and steel high value added product production technology knowledge is carried out concept to divide
Analysis, its concept is extracted, obtains basic semantic, described basic semantic includes class, relation, attribute and example, specify class,
Hierarchical structure between relation and attribute, the object properties between example and numerical attribute, set up iron and steel high value added product
The conceptual model of production technology knowledge；
(3)：The structure of ontology model：The structure of the ontology model of iron and steel high value added product production technology knowledge is with step (2)
The conceptual model obtaining as guidance, according to the mapping ruler of conceptual model to ontology model, thus setting up iron and steel high added value
The ontology model of product processes knowledge；
(4)：The ontology model of the iron and steel high value added product production technology knowledge that step (3) is obtained is entered with actual production data
Row data maps, and generates RDF data；
(4.1) mapping ruler is formulated according to D2RQ mapping language, main contents include URI template, class mapping (d2rq:
ClassMaps) and attribute mapping (d2rq:PropertyBridge)；
URI template：In associated data, resource is identified with URI template to conduct interviews, wherein, d2rq:
UriPattern is described as a URI template, and shape such as FurnaceTable/@@FurnaceTable.furnaceID@@, before "/"
Face represents table name, represents the row in table between "@@"；
Class maps：d2rq:ClassMap in ClassMaps represents similar one group of class in a class or body, with pass coefficient
Corresponding according to table in storehouse, in class mapping important attribute d2rq:Class represents the corresponding Class of current class mapping, its value
Can come from the class in existing ontology model it is also possible to new Class is defined according to data characteristics；
Attribute maps：d2rq:PropertyBridge represents the attribute of Class in ontology model, it with relational database in certain
The row of individual table are corresponding, and attribute mapping may be summarized to be several basic attributes：d2rq:BelongsToClassMap represents this
ClassMap belonging to PropertyBridge；d2rq:Property represents corresponding to this PropertyBridge
Property, its value can come from the attribute in existing ontology model it is also possible to define new according to data characteristics
property；d2rq:Column represents the row in certain concrete table of this PropertyBridge association；
(4.2) mapped file is write according to (4.1) described mapping ruler；
(4.3) it is based on Jena development platform, calls D2RQ mapping engine, be loaded into ontology model and mapped file, set up body mould
Type and the connection of data source, actual production data are mapped as the instance data of body, generate RDF data.
2. the body of a kind of iron and steel high value added product production technology knowledge based on three-dimensional framework according to claim 1
Modeling method it is characterised in that：
The dimension of product described in step (1) describes the product type of iron and steel high value added product, and described product type includes：High-strength
Toughness, lighting Automobile Plate, superhigh intensity, toughness steel, engineering machinery high-strength steel, High Strength Container plate and railway compartment are used
Steel and in/heavy truck steel；
The dimension of operation described in step (1) describes smelting to the operation producing high added value steel products from ore,
Described operation includes：Ironmaking, steel-making, refining, continuous casting, hot rolling and cold rolling；
Target described in step (1) tie up according to iron and steel high value added product manufacture characteristic, described manufacture characteristic be divided into intellectuality,
Greenization and safe；Wherein：Intellectuality describes the producing line of iron and steel high value added product and technological equipment should be able to be realized certainly
Dynamicization operation and control, the function of Information Collecting ＆ Processing；Greenization requires producing line and the technological equipment of iron and steel high value added product
Operation should be able to reduce energy resource consumption, reduce environmental contaminants discharge；Safe requires the producing line of iron and steel high value added product
And technological equipment possesses emergency capability of taking refuge of taking precautions against natural calamities, body and mind safety and the health of protection producers, set up lossless, harmless, no
Wound, the operating environment do not died；
Three-dimensional framework described in step (1) provides iron and steel high value added product to produce from product, operation, three dimensions of target respectively
The method for organizing of process knowledge, the particular content of each dimension describes the not ipsilateral of production technology knowledge；When product dimension
Specific descriptions be set as a certain product type of iron and steel high value added product, production technology knowledge package contain all with such iron and steel
The related knowledge content of the product type of high value added product；When the specific descriptions of operation dimension are set as iron and steel high value added product
Certain operation, production technology knowledge package relevant knowledge content in this operation containing all iron and steel high value added products；Work as mesh
The specific descriptions of mark dimension are set as a certain manufacture characteristic of iron and steel high value added product, and it is high that production technology knowledge package contains all iron and steel
Related to the manufacture characteristic knowledge content in whole operations of value-added product；When the specific descriptions of target dimension are set as safety
Change, production technology knowledge package contains related to the safety feature knowledge content in whole operations of all products；The tool of three dimensions
The internal description held combination defines a certain class production technology knowledge.
3. the body of a kind of iron and steel high value added product production technology knowledge based on three-dimensional framework according to claim 1
Modeling method it is characterised in that the iron and steel high value added product production technology knowledge concepts model described in step (2) basic
Semanteme is：
Define 1：Conceptual model
According to three-dimensional framework, build the conceptual model of iron and steel high value added product production technology knowledge, its basic semantic isWherein：X describes product dimension, x={ x1,x2,x3,x4,
x5Correspond respectively to { high toughness, lighting Automobile Plate, superhigh intensity, toughness steel, engineering machinery high-strength steel, high-strength collection
Box loading plate and railway compartment steel, in/heavy truck steel }；Y describes operation dimension, y={ y1,y2,y3,y4,y5,y6Respectively
Corresponding to ironmaking, and steel-making, refining, continuous casting, hot rolling, cold rolling；Z describes target dimension, z={ z1,z2,z3Correspond respectively to { green
Color, intelligent, safe }；C describes class (Class, C), represents the class belonging to this conceptual model；SUP describes parent
(Superclass, SUP), represents the parent of the affiliated class of this conceptual model；SUB describes subclass (Subclass, SUB), represents
The subclass of the affiliated class of this conceptual model；POP and BOP all describes object properties (Object Property, OP), represents that this is general
Read the object properties that model has, POP represents the relation in current class and parent between example, BOP represents current class and son
Relation between example in class；DP describes numerical attribute (Data Property, DP), represents what this conceptual model was had
Numerical attribute；I describes example (Individual, I), represents the object that this conceptual model is had.Conceptual model formula is：For example：
Represent and be directed to x1Product is in y2With z in operation1Related conceptual knowledge, between different conceptual models with C, SUP, SUB,
POP, BOP, DP, I are associated and organize, that is, pass through the inherent connection of class hierarchy relation and Attribute Association relational implementation conceptual knowledge
System；The Definitions of Conceptual Model of iron and steel high value added product production technology knowledge is the set of conceptual knowledge, that is,：
4. the body of a kind of iron and steel high value added product production technology knowledge based on three-dimensional framework according to claim 3
Modeling method is it is characterised in that the structure side of iron and steel high value added product production technology knowledge concepts model described in step (2)
Method is specially：
(4.1) set up subrange
The a certain local model in three-dimensional framework is collected successively from expertise, technical documentation, bibliography and creation data
Enclose the conceptual knowledge of (a certain specific descriptions of corresponding three dimensions), the related notion in conceptual knowledge is extracted, determines
Its parent, subclass, object properties, numerical attribute and example, specify parent, subclass, object properties, numerical attribute, Yi Jishi
Object properties between example and numerical attribute；
(4.2) set up global scope
The conceptual model of the subrange that integrated step (4.1) is set up?
Conceptual model to the global scope of iron and steel high value added product production technology knowledge is：
Wherein,
C：Represent the class belonging to this conceptual model；
SUP：Represent the parent of the affiliated class of this conceptual model；
SUB：Represent the subclass of the affiliated class of this conceptual model；
POP：Represent the relation between example in current class and parent；
BOP：Represent the relation between example in current class and subclass；
DP：Represent the numerical attribute that this conceptual model is had；
I：Represent the object that this conceptual model is had.
5. the body of a kind of iron and steel high value added product production technology knowledge based on three-dimensional framework according to claim 1
Modeling method is it is characterised in that the conceptual model described in step (3), to the mapping ruler of ontology model, is shown in Table 1：
Table 1 conceptual model is to the mapping ruler of ontology model
In upper table, the ontology model of iron and steel high value added product production technology knowledge adopts OWL Ontology Modeling language, wherein, generally
Read modelRepresent and be respectively x when three dimensionsi,yj,zkWhen, for class C
Description；SubClassOf represents the hierarchical structure between parent and subclass；ObjectProperty represents object properties, description
Relation between body；DataProperty represents data attribute, the individual relation and data type between of description.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610805387.7A CN106447174B (en) | 2016-09-07 | 2016-09-07 | A kind of ontology modeling method of the steel high value added product production technology knowledge based on three-dimensional framework |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610805387.7A CN106447174B (en) | 2016-09-07 | 2016-09-07 | A kind of ontology modeling method of the steel high value added product production technology knowledge based on three-dimensional framework |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106447174A true CN106447174A (en) | 2017-02-22 |
| CN106447174B CN106447174B (en) | 2019-11-29 |
Family
ID=58164777
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610805387.7A Expired - Fee Related CN106447174B (en) | 2016-09-07 | 2016-09-07 | A kind of ontology modeling method of the steel high value added product production technology knowledge based on three-dimensional framework |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106447174B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018206346A1 (en) * | 2017-05-11 | 2018-11-15 | Siemens Aktiengesellschaft | Method for processing digital production data in a computer-assisted manner in order to produce one or more products |
| CN109376466A (en) * | 2018-11-16 | 2019-02-22 | 北京卫星制造厂有限公司 | Spacecraft process knowledge modeling method based on ontology |
| CN109740856A (en) * | 2018-12-07 | 2019-05-10 | 浙江恒逸集团有限公司 | A kind of modeling method of the polyester fiber production management system based on single ingot data flow |
| CN113039499A (en) * | 2018-11-19 | 2021-06-25 | 西门子股份公司 | Object tagging to support tasks through autonomous machines |
| CN116629585A (en) * | 2023-07-24 | 2023-08-22 | 南昌大学 | Process management system and method using ontology |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101887544A (en) * | 2010-06-10 | 2010-11-17 | 同济大学 | Optimization modeling method for coupling of production and energy of continuous enterprises |
| CN104221069A (en) * | 2012-02-02 | 2014-12-17 | 林肯环球股份有限公司 | Virtual welding system |
| CN104463957A (en) * | 2014-11-24 | 2015-03-25 | 北京航空航天大学 | Three-dimensional scene generation tool integration method based on materials |
| CN105427373A (en) * | 2015-10-30 | 2016-03-23 | 上海交通大学 | Three-dimensional scene cooperative construction system based on three-layer body, and realization method thereof |
| CN105808734A (en) * | 2016-03-10 | 2016-07-27 | 同济大学 | Semantic web based method for acquiring implicit relationship among steel iron making process knowledge |
-
2016
- 2016-09-07 CN CN201610805387.7A patent/CN106447174B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101887544A (en) * | 2010-06-10 | 2010-11-17 | 同济大学 | Optimization modeling method for coupling of production and energy of continuous enterprises |
| CN104221069A (en) * | 2012-02-02 | 2014-12-17 | 林肯环球股份有限公司 | Virtual welding system |
| CN104463957A (en) * | 2014-11-24 | 2015-03-25 | 北京航空航天大学 | Three-dimensional scene generation tool integration method based on materials |
| CN105427373A (en) * | 2015-10-30 | 2016-03-23 | 上海交通大学 | Three-dimensional scene cooperative construction system based on three-layer body, and realization method thereof |
| CN105808734A (en) * | 2016-03-10 | 2016-07-27 | 同济大学 | Semantic web based method for acquiring implicit relationship among steel iron making process knowledge |
Non-Patent Citations (2)
| Title |
|---|
| JULIAN KRUMEICH 等: "Advanced Planning and Control of Manufacturing Processes in Steel Industry through Big Data Analytics", 《2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA》 * |
| 黄美丽 等: "基于形式概念分析的领域本体构建方法研究", 《计算机科学》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018206346A1 (en) * | 2017-05-11 | 2018-11-15 | Siemens Aktiengesellschaft | Method for processing digital production data in a computer-assisted manner in order to produce one or more products |
| CN109376466A (en) * | 2018-11-16 | 2019-02-22 | 北京卫星制造厂有限公司 | Spacecraft process knowledge modeling method based on ontology |
| CN113039499A (en) * | 2018-11-19 | 2021-06-25 | 西门子股份公司 | Object tagging to support tasks through autonomous machines |
| US11951631B2 (en) | 2018-11-19 | 2024-04-09 | Siemens Aktiengesellschaft | Object marking to support tasks by autonomous machines |
| CN109740856A (en) * | 2018-12-07 | 2019-05-10 | 浙江恒逸集团有限公司 | A kind of modeling method of the polyester fiber production management system based on single ingot data flow |
| CN116629585A (en) * | 2023-07-24 | 2023-08-22 | 南昌大学 | Process management system and method using ontology |
| CN116629585B (en) * | 2023-07-24 | 2023-09-19 | 南昌大学 | Process management system and method using ontology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106447174B (en) | 2019-11-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106447174B (en) | A kind of ontology modeling method of the steel high value added product production technology knowledge based on three-dimensional framework | |
| CN102682122B (en) | Method for constructing semantic data model for material science field based on ontology | |
| CN104572709B (en) | Data digging system for enterprise innovation system | |
| CN106127395A (en) | A kind of product unified model constructing system based on semantic meta-model and construction method | |
| CN113191497B (en) | Knowledge graph construction method and system for substation site selection | |
| CN103425774A (en) | Tacit knowledge acquisition method based on HWME (Hall for Workshop of Metasynthetic Engineering) | |
| CN109947950A (en) | The construction method and device of the domain knowledge map of based intermediate layer core ontology | |
| Guo et al. | An automatic machining process decision-making system based on knowledge graph | |
| CN115438199A (en) | Knowledge platform system based on smart city scene data middling platform technology | |
| CN105930942A (en) | Intelligent system for predicting energy technologies under big data background | |
| CN105205537B (en) | A kind of device and method of the feature machining Process Knowledge Representation reasoning based on body | |
| Wang | Research on sustainable evolution of China's cloud manufacturing policies | |
| Zhang et al. | The innovation effect of intelligent connected vehicle policies in China | |
| Yang | Construction of graduate behavior dynamic model based on dynamic decision tree algorithm | |
| CN102270190B (en) | Computer modeling and solving processing method of complex decision-making problem | |
| CN102930030A (en) | Ontology-based intelligent semantic document indexing reasoning system | |
| Yang et al. | Picture fuzzy soft Bonferroni mean aggregation operators and their applications | |
| Abdellaoui et al. | Semantic data warehouse at the heart of competitive intelligence systems: Design approach | |
| CN107368302A (en) | A kind of design mode identification method based on body | |
| Shi et al. | A knowledge graph constructed for job-related crimes | |
| TAO et al. | INTELLIGENT DESIGN SYSTEM OF MECHANICAL PRODUCTS BASED ON DATA MINING AND KNOWLEDGE BASED ENGINEERING. | |
| Li et al. | Social-economic assessment of integrated waste pickers in municipal solid waste management system: A case of Tianjin in China | |
| Zhu | The construction safety accident emergency decision support system based on ontology and CBR | |
| CN107247810B (en) | Method for constructing knowledge base system based on device operation of styrene chemical process | |
| CN108121866A (en) | A kind of city planning design intelligent noumenon model building method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20191129 |