CN104346130A - Fusion mapping method of common information model and IEC61850 model - Google Patents
Fusion mapping method of common information model and IEC61850 model Download PDFInfo
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- CN104346130A CN104346130A CN201410696411.9A CN201410696411A CN104346130A CN 104346130 A CN104346130 A CN 104346130A CN 201410696411 A CN201410696411 A CN 201410696411A CN 104346130 A CN104346130 A CN 104346130A
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Abstract
The invention discloses a fusion mapping method of a common information model and an IEC61850 model, and fusion mapping of the common information model and the IEC61850 model is realized by using a rule reasoning method and combining rule description language. According to the fusion mapping method, model mapping is performed on the common information model and the IEC61850 model by using the rule reasoning technique, so that interoperation of the common information model and the IEC61850 model is realized, model fusion of a distribution master station and a transformer substation is realized, the workload of interaction of the common information model and the IEC61850 model is reduced and the work management efficiency of the distribution master station and the transformer substation is improved.
Description
Technical field
The present invention relates to a kind of common information model and IEC61850 Model Fusion mapping method, particularly a kind of common information model of Process Based and IEC61850 Model Fusion mapping method.
Background technology
IEC 61850 is standards about substation automation system communication network and system that technical committee of International Electrotechnical Commission the 57th formulates.IEC 61850 comprises OO standard, COMMUNICATION NETWORK PERFORMANCES requirement, interface and many-sided detailed content such as mapping, system and project management, uniformity test etc.
For Automation of Electric Systems, in order to realize modularization, not only need the Interoperability Mechanism providing inter-module mutual, and need common information model mutual between definitions component and component interface specification.Therefore, IEC TC57 proposes public information standard, and it is the application program defining interface for energy management system (EMS), but in fact, and this standard is applicable to the application Integrating of power automation, informationization and even other industry.
Along with electrical network scale is increasing, the information integerated degree of transparent integratedization progressively improves, and is one of feature of power system development instantly.It is the important foundation that intelligent power grid technology develops that the mapping of model is merged.Common information model and IEC61850 belong to the core standard of intelligent grid, but their model can not merge unification.Common information model is applied to the fields such as scheduling, power distribution automation.IEC61850 is applied to transformer station.This model disunity, causes adverse influence to power system information is integrated, and the model information that result in different system can not be shared, and various intelligent automation application cannot realize source maintenance, the overall situation is shared.
Summary of the invention
The object of the invention is to overcome deficiency of the prior art, a kind of common information model and IEC61850 Model Fusion mapping method of Process Based is provided, the interoperability of common information model and IEC61850 model can be realized.
For achieving the above object, the technical solution adopted in the present invention is: a kind of common information model and IEC61850 Model Fusion mapping method, by the method for rule-based reasoning, binding rule descriptive language, realizes common information model and IEC61850 Model Fusion maps.
The concrete operation step of described fusion mapping method is as follows:
Step one: the similarities and differences analyzing common information model and IEC61850 model, proposes Model Mapping strategy;
Step 2: based on IEC61850-6 SCL and common information model standard, set up respective ontology library respectively;
Step 3: utilize rule description language to set up inference rule between body;
Step 4: be the class definition Sum fanction storehouse that rule-based reasoning machine can identify by the format conversion of body and inference rule;
Step 5: utilize inference machine to carry out forward inference, carries out fusion by common information model and IEC61850 model and maps;
Step 6: be the file meeting common information model syntax rule by instance transfer by rule-based reasoning output module, to complete in substation configuration description file configuration information to the conversion of common information model file.
The concrete operation step of step one is as follows:
First from class aspect, relation layer and attribute layer, the difference of systematic analysis two models;
Then respectively from equipment level and topological relation, conductive equipment class, measure object class, markers, unit, quality and object identifier and provide Model Mapping strategy, and the Model Mapping strategy of complete set is proposed.
The concrete operation step of step 4 is as follows:
Adopt rule-based reasoning technology, by the category information in the hybrid knowledge representation method representation common information model of object-oriented and production rule and IEC61850 model ontology storehouse, and mapping ruler is converted to rule-based reasoning knowledge base, complete the model conversion of IEC61850 model to the configuration information of common information model.
Compared with prior art, the present invention produces
beneficial effectbe: by rule-based reasoning technology, common information model and IEC61850 model are carried out Model Mapping, achieve the interoperability of common information model and IEC61850 model, thus achieve the Model Fusion of distribution main website and transformer station, reduce common information model and the mutual workload of IEC61850 model, improve the work management efficiency of distribution main website and transformer station; The weak shortcoming of ontology inferential capability is solved by rule-based reasoning machine.
Accompanying drawing explanation
Fig. 1 is operational flowchart of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.Following examples only for technical scheme of the present invention is clearly described, and can not limit the scope of the invention with this.
As shown in Figure 1, be operational flowchart of the present invention, specifically comprise the following steps:
Step one: the similarities and differences analyzing common information model and IEC61850 model, finds out both identical points, and both selective analysis distinguish the modeling process of part, and proposes Model Mapping strategy accordingly, specific as follows:
First from class aspect, relation layer and attribute layer, the difference of systematic analysis two models;
Then respectively from equipment level and topological relation, conductive equipment class, measure object class, markers, unit, quality and object identifier and provide Model Mapping strategy, and the Model Mapping strategy of complete set is proposed.
Step 2: based on IEC61850-6 SCL and common information model standard, set up respective ontology library respectively.
Step 3: utilize rule description language to set up inference rule between body;
Step 4: be the class definition Sum fanction storehouse that rule-based reasoning machine can identify by the format conversion of body and inference rule: have employed rule-based reasoning technology, by the category information in the hybrid knowledge representation method representation common information model of object-oriented and production rule and IEC61850 model ontology storehouse, and mapping ruler is converted to rule-based reasoning knowledge base, realized standardization and the interoperability of Rule Expression in Semantic Web by inferenctial knowledge storehouse, complete the model conversion of IEC61850 model to the configuration information of common information model.
Step 5: utilize inference machine to carry out forward inference, carries out fusion by common information model and IEC61850 model and maps.
Step 6: by rule-based reasoning output module by instance transfer for meeting the file of common information model (CIM) syntax rule, to complete in substation configuration description file (SCD) configuration information to the conversion of CIM file.
The present invention is by rule-based reasoning technology, common information model and IEC61850 model are carried out Model Mapping, achieve the interoperability of common information model and IEC61850 model, thus achieve the Model Fusion of distribution main website and transformer station, reduce common information model and the mutual workload of IEC61850 model, improve the work management efficiency of distribution main website and transformer station; The weak shortcoming of ontology inferential capability is solved by rule-based reasoning machine.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and distortion, these improve and distortion also should be considered as protection scope of the present invention.
Claims (4)
1. common information model and an IEC61850 Model Fusion mapping method, is characterized in that, by the method for rule-based reasoning, binding rule descriptive language, realizes common information model and IEC61850 Model Fusion maps.
2. common information model according to claim 1 and IEC61850 Model Fusion mapping method, is characterized in that, the concrete operation step of described fusion mapping method is as follows:
Step one: the similarities and differences analyzing common information model and IEC61850 model, proposes Model Mapping strategy;
Step 2: based on IEC61850-6 SCL and common information model standard, set up respective ontology library respectively;
Step 3: utilize rule description language to set up inference rule between body;
Step 4: be the class definition Sum fanction storehouse that rule-based reasoning machine can identify by the format conversion of body and inference rule;
Step 5: utilize inference machine to carry out forward inference, carries out fusion by common information model and IEC61850 model and maps;
Step 6: be the file meeting common information model syntax rule by instance transfer by rule-based reasoning output module, to complete in substation configuration description file configuration information to the conversion of common information model file.
3. common information model according to claim 2 and IEC61850 Model Fusion mapping method, it is characterized in that, the concrete operation step of step one is as follows:
First from class aspect, relation layer and attribute layer, the difference of systematic analysis two models;
Then respectively from equipment level and topological relation, conductive equipment class, measure object class, markers, unit, quality and object identifier and provide Model Mapping strategy, and the Model Mapping strategy of complete set is proposed.
4. common information model according to claim 2 and IEC61850 Model Fusion mapping method, it is characterized in that, the concrete operation step of step 4 is as follows:
Adopt rule-based reasoning technology, by the category information in the hybrid knowledge representation method representation common information model of object-oriented and production rule and IEC61850 model ontology storehouse, and mapping ruler is converted to rule-based reasoning knowledge base, complete the model conversion of IEC 61850 model to the configuration information of common information model.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11263262B2 (en) | 2019-06-28 | 2022-03-01 | Capital One Services, Llc | Indexing a dataset based on dataset tags and an ontology |
| US11531703B2 (en) | 2019-06-28 | 2022-12-20 | Capital One Services, Llc | Determining data categorizations based on an ontology and a machine-learning model |
-
2014
- 2014-11-27 CN CN201410696411.9A patent/CN104346130A/en active Pending
Non-Patent Citations (2)
| Title |
|---|
| 王雅: "基于OWL的IEC61850与CIM模型协调实现技术研究", 《万方数据知识服务平台》 * |
| 高志远 等: "公共信息模型和IEC61850模型协调方案分析", 《电力系统自动化》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11263262B2 (en) | 2019-06-28 | 2022-03-01 | Capital One Services, Llc | Indexing a dataset based on dataset tags and an ontology |
| US11531703B2 (en) | 2019-06-28 | 2022-12-20 | Capital One Services, Llc | Determining data categorizations based on an ontology and a machine-learning model |
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