CN105930451A - RDF-based CIM model difference data combination method - Google Patents

RDF-based CIM model difference data combination method Download PDF

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Publication number
CN105930451A
CN105930451A CN201610249698.XA CN201610249698A CN105930451A CN 105930451 A CN105930451 A CN 105930451A CN 201610249698 A CN201610249698 A CN 201610249698A CN 105930451 A CN105930451 A CN 105930451A
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China
Prior art keywords
cim
rdf
attribute
data
add
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CN201610249698.XA
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Chinese (zh)
Inventor
刘彬
谢萍萍
张继红
苏雪源
陈日辉
彭伟
陈荣
黄锋
郭永平
张翔
王震
梁添增
Original Assignee
国家电网公司
国网福建省电力有限公司
国网福建省电力有限公司厦门供电公司
厦门亿力吉奥信息科技有限公司
国网信息通信产业集团有限公司
国网信通亿力科技有限责任公司
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Priority to CN201610249698.XA priority Critical patent/CN105930451A/en
Publication of CN105930451A publication Critical patent/CN105930451A/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/16File or folder operations, e.g. details of user interfaces specifically adapted to file systems

Abstract

The invention discloses an RDF-based CIM model difference data combination method. The method comprises the following steps of 10, classifying model difference data: classifying the model difference data into addition, deletion and modification classes; 20, generating an RDF file according to the model difference data: according to the addition, deletion and modification classes, creating corresponding naming spaces xmlns:add, xmlns:del and xmlns:mod respectively, organizing the model difference data into an RDF standard file, and creating executive rules of the addition, deletion and modification classes in the RDF standard file; 30, analyzing the RDF file: automatically analyzing the RDF file by a power distribution network system to obtain a to-be-combined model; and 40, verifying and combining the model difference data: verifying the to-be-combined model by the power distribution network system to obtain a filtered to-be-combined model, and combining the filtered to-be-combined model with an original model of the system by the power distribution network system. According to the method, the system model is efficiently maintained; and according to actual model data volume, the development efficiency is improved, the resources are saved, and the system development and maintenance costs are reduced.

Description

A kind of merging method of CIM variance data based on RDF

Technical field

The present invention relates to a kind of merging method of CIM variance data based on RDF.

Background technology

In the application of distribution network system, the CIM of system is sometimes because increasing, deleting the situations such as equipment/transformer station and change Becoming, once CIM information needs to update, and the method being usually taken is to regenerate model file in systems, accordingly, is System is also required to re-establish model information (being Common Information Model (CIM)) according to new model file, and have a strong impact on is The work efficiency of system.

A kind of metadata token language that XML is designed by World Wide Web Consortium W3C, it is possible to provide the lattice of description scheme data Formula .XML, has been widely used, and can be used for the information between data exchange and the different application of machine and machinery compartment Exchange.Owing to XML system is independent of the information Description standard of any architecture and any program language, it is highly suitable for system Information exchange in integrated.

Resource description framework RDF(Resource Description Framework) it is a kind of general metadata knot Structure, be describe data preservation, be distributed, produce, the XML application of the situation such as use, it is provided that for model and the language of data Method, can be read by computer and understand.One useful characteristic of RDF is exactly that it allows any one of power system CIM Individual subset can represent in a document.Therefore, RDF file can completely describe CIM variance data, and has clear in structure Characteristic.

The present inventor, through further investigation, proposes a kind of merging method of CIM variance data based on RDF.

Summary of the invention

The present invention solves the problems referred to above, it is provided that a kind of merging method of CIM variance data based on RDF, logical Cross RDF/XML file identification CIM variance data, enable distribution network system automatically to identify CIM variance data, only close And the data that there are differences just can more new model, without re-establishing model, system CIM can be safeguarded efficiently, according to Actual CIM data volume size, is greatly improved development efficiency, economizes on resources, reduces system development and maintenance cost.

For achieving the above object, the technical solution used in the present invention is:

A kind of merging method of CIM variance data based on RDF, comprises the following steps:

10. classification CIM variance data: be referred to CIM variance data add, delete and change model object three In classification;

Adding and refer to add model object or add the attribute of model object, it includes two following situations:

Add new model object and the attribute information of newly-increased model object;

New attribute is added for existing model object;

Deleting and refer to case-deleted models object or the attribute of case-deleted models object, it includes two following situations:

Delete the model object that existed and attribute information thereof, and search the model object that is associated with this model object Attribute, and delete this attribute;

The part attribute of case-deleted models object;

Amendment refers to revise the property value of existing model object;

20. generate RDF file according to CIM variance data: CIM variance data tissue is become RDF file, organized Journey includes:

According to described interpolation, delete and change three classifications of model object, set up respectively correspondence NameSpace xmlns: add、xmlns:del、xmlns:mod;

Set up the executing rule adding, delete and change three classifications of model object;

30. resolve RDF file: distribution network system resolves RDF file automatically, obtains CIM data to be combined;

40. model difference data merge: distribution network system is by CIM data to be combined and system original CIM data Executing rule according to described RDF document addresses merges.

Executing rule in described step 20 particularly as follows:

Add model object time, indicate that the URI of model object goes out attribute and the property value of model object side by side, formed one complete Whole model object information;

When only adding the part attribute of model object, first with change identification model object, then add particular community in model object;

During case-deleted models object, the attribute of this model object is deleted together;

When only deleting the part attribute of object, first by particular community in change identification model object, then case-deleted models object;

When changing the property value of model object, directly new property value is set for attribute.

In described step 40, distribution network system treats pooled model, and to carry out proof procedure specific as follows:

If model object to be added has existed and completely the same in original system model data, the most do not carry out this interpolation behaviour Make;

If model object to be deleted does not exists in original system model data, the most do not carry out this deletion action;

If the property value of model object to be modified does not exists in original system model data or with attribute to be revised Value is coincide, and does not the most carry out this amendment operation.

In step 40, before CIM data merge, CIM data to be combined are verified by distribution network system, obtain CIM data to be combined after filtration, distribution network system is again by original with system for the CIM data to be combined after this filtration CIM merges according to the executing rule of described RDF document addresses.

In described step 40, CIM to be combined CIM original with system merges operation and includes: add new Model object, the existing model object of deletion and the property value of the existing model object of amendment.

The invention have the advantages that

(1) good intercommunication interconnectivity: identifying CIM variance data by RDF/XML, power distribution network application can be clog-free Automatically recognition data and information, facilitates system swapping data, shares information, it is achieved system intercommunication, interconnection, reduce difficulty and become This;

(2) data separate with realization: RDF file can recognize that computer system identifies automatically, it is achieved with data separating so that information Encapsulation is good, clear logic, maintainable strong;

(3) performance efficiency

RDF/XML clear layer, well-formed so that the process realizing variance data merging is very simple, has performance efficiency Feature.

In a word, the present invention fully complies with RDF standard convention and identifies the CIM information that there are differences, and information describes Completely so that any standardization distribution network system can obtain variance data, pooled model by this method, saves system Safeguard and development cost, improve the development efficiency of power distribution network application software according to the inventive method, system can be safeguarded efficiently Model, according to realistic model data volume size, can improve the development efficiency of more than 4 times, economizes on resources, reduces exploitation and safeguard into This.

Accompanying drawing explanation

Fig. 1 is the general flow chart of the present invention;

Fig. 2 be one embodiment of the invention RDF in the primary operational object paragraph of differential pattern;

Fig. 3 be one embodiment of the invention RDF in amendment interval, increase switch and connection end point paragraph;

Fig. 4 be one embodiment of the invention RDF in add/delete remote signalling paragraph.

Detailed description of the invention

In order to make the technical problem to be solved, technical scheme and beneficial effect clearer, clear, below tie Close drawings and Examples the present invention is further elaborated.Should be appreciated that specific embodiment described herein is only used To explain the present invention, it is not intended to limit the present invention.

The merging method of a kind of based on RDF CIM variance data that the present invention discloses, it comprises the following steps:

10. disaggregated model variance data: be referred to CIM variance data add, delete and change three classes of model object In not;

Adding and refer to add model object or add the attribute of model object, it includes two following situations:

Add new model object and the attribute information of newly-increased model object;

New attribute is added for existing model object;

Deleting and refer to case-deleted models object or the attribute of case-deleted models object, it includes two following situations:

Delete the model object that existed and attribute information thereof, and search the model object that is associated with this model object Attribute, and delete this attribute;

The part attribute of case-deleted models object;

Amendment refers to revise the property value of existing model object;

20. generate RDF file according to CIM variance data: CIM variance data tissue is become RDF file, organized Journey includes:

According to described interpolation, delete and change three classifications of model object, set up respectively correspondence NameSpace xmlns: add、xmlns:del、xmlns:mod;

Set up the executing rule adding, delete and change three classifications of model object;

30. resolve RDF file: distribution network system resolves RDF file automatically, obtains CIM data to be combined;

40. model difference data merge: distribution network system is by CIM data to be combined and system original CIM data Executing rule according to described RDF document addresses merges.

Executing rule in described step 20 particularly as follows:

Add model object time, indicate that the URI of model object goes out attribute and the property value of model object side by side, formed one complete Whole model object information;

When only adding the part attribute of model object, first with change identification model object, then add particular community in model object;

During case-deleted models object, the attribute of this model object is deleted together;

When only deleting the part attribute of object, first by particular community in change identification model object, then case-deleted models object;

When changing the property value of model object, directly new property value is set for attribute.

In described step 40, distribution network system treats pooled model, and to carry out proof procedure specific as follows:

If model object to be added has existed and completely the same in original system model data, the most do not carry out this interpolation behaviour Make;

If model object to be deleted does not exists in original system model data, the most do not carry out this deletion action;

If the property value of model object to be modified does not exists in original system model data or with attribute to be revised Value is coincide, and does not the most carry out this amendment operation.

In step 40, before CIM data merge, CIM data to be combined are verified by distribution network system, obtain CIM data to be combined after filtration, distribution network system is again by original with system for the CIM data to be combined after this filtration CIM merges according to the executing rule of described RDF document addresses.

In described step 40, CIM to be combined CIM original with system merges operation and includes: add new Model object, the existing model object of deletion and the property value of the existing model object of amendment.

As Figure 2-3, a specific embodiment of the present invention, is a distribution network system model, including following information: 1, have and an only transformer station sn1000,2, transformer station has electric pressure 220KV, 2,220KV comprises between two Every object bay1 and bay2,4, each interval comprises some device objects, digital & analog signal, digital & analog signal also comprises correspondence Value object.

One, switch and connection end point are increased

Variance data: increase switch and connection end point, i.e. newly-increased switch, entitled CB10 in the bay2 of interval, increases two companies newly simultaneously Meet end points Terminal, entitled T10 and T11, and become the connection end point of CB10;

The RDF file being organized into according to variance data as shown in Figure 2,

Wherein,<mod:Bay rdf:about=" #sn1000/220kV/bay2 ">mark represents to enter the attribute in the bay2 of interval Row amendment;

<add:EquipmentContainer.Contains_Equipmentsrdf:resource="http:// Td.sduept.com/mailman/listinfo/#sn1000/220kV/bay2/CB10 "/> represent and add one in that interval Unique mark of object in individual URI(RDF) it is http://td.sduept.com/mailman/listinfo/#sn1000/ The switch object of 220kV/bay2/CB10;

<add:Breaker rdf:about=" #sn1000/110kV/bay2/CB10 ">mark adds switch Breaker object CB10;

<add:Equipment.MemberOf_EquipmentContainerrdf:resource="http:// Td.sduept.com/mailman/listinfo/hunan#sn1000/110kV/bay2 "/> this switch is set belongs to interval bay2;

Pass through<add:IdentifiedObject.name>cB10</add:IdentifiedObject.name>switch is ordered Entitled CB10;

<add:ConductingEquipment.Terminalsrdf:resource="http://td.sduept.com/ Mailman/listinfo/hunan#sn1000/220kV/bay2/CB1/T10 "/> switch is associated with connection end point T10, close The mode of connection connection end point T11 is also same;

Connection end point is added by<add:Terminal rdf:about=" #sn1000/220kV/bay2/CB1/T10 ">mark Terminal;

<add:Terminal.ConductingEquipmentrdf:resource="http://td.sduept.com/ Mailman/listinfo/hunan#sn1000/220kV/bay2/CB10 "/> this Terminal and switch CB10 pass is set Connection,<add:IdentifiedObject.name>t10</add:IdentifiedObject.name>,<add: IdentifiedObject.mRID>1668000001024</add:IdentifiedObject.mRID>it is respectively provided with The name of Terminal and numeral ID.The addition manner of connection end point T11 is ibid.

Two, add/delete remote signalling

Variance data: delete remote signalling object " reactive power virtual value A phase amplitude " in the bay2 of interval;Add a new remote signalling pair As " current effective value A phase amplitude ", and associate with connection end point T10;Remote signalling object " the voltage effective value that one has been existed A phase amplitude " associate with connection end point T11, the description information changing this remote signalling is " voltage effective value is to ground A phase amplitude ";

RDF file:

Label<mod:Bayrdf:about=" #sn1000/220kV/bay2 ">is used del: PowerSystemResource.Contains_Measurements/> delete the remote signalling object in interval;

<add:PowerSystemResource.Contains_Measurements/>label adds remote signalling pair in interval As;It addition, add corresponding remote signalling object in connection end point with<add:Terminal.Measurements/>label;

As it is shown on figure 3, add remote signalling object in label<add:Analog>, and entitled " current effective value A phase width is set Value " and other attribute.The remote signalling that amendment has existed in label<mod:Analog>, with<mod:IdentifiedObject.d Escription>voltage effective value is to ground A phase amplitude</mod:IdentifiedObject.description>described Change " voltage effective value is to ground A phase amplitude " into;

<mod:Measurement.Terminalrdf:resource="http://td.sduept.com/mailman/ Listinfo/#sn1000/220kV/bay2/CB1/T11 "/> this remote signalling is associated with connection end point T11.

The structure chart of final RDF file is as in figure 2 it is shown, by this RDF file, distribution network system can identify automatically to be needed Object to be merged, and carry out the interpolation of corresponding contents, delete, change.

The present invention fully complies with RDF standard convention and identifies the CIM information that there are differences, and information describes complete, Make any standardization distribution network system can obtain variance data, pooled model by this method, save system maintenance And development cost, improve the development efficiency of power distribution network application software according to the inventive method, system model can be safeguarded efficiently, According to realistic model data volume size, the development efficiency of more than 4 times can be improved, economize on resources, reduce development and maintenance cost.

Described above illustrate and describes the preferred embodiments of the present invention, it should be understood that the present invention is not limited to institute herein The form disclosed, is not to be taken as the eliminating to other embodiments, and can be used for other combinations various, amendment and environment, and energy Enough in invention contemplated scope herein, it is modified by above-mentioned teaching or the technology of association area or knowledge.And people from this area The change that carried out of member and change, the most all should be in the protections of claims of the present invention without departing from the spirit and scope of the present invention In the range of.

Claims (5)

1. the merging method of a CIM variance data based on RDF, it is characterised in that comprise the following steps:
10. classification CIM variance data: be referred to CIM variance data add, delete and change model object three In classification;
Adding and refer to add model object or add the attribute of model object, it includes two following situations:
Add new model object and the attribute information of newly-increased model object;
New attribute is added for existing model object;
Deleting and refer to case-deleted models object or the attribute of case-deleted models object, it includes two following situations:
Delete the model object that existed and attribute information thereof, and search the model object that is associated with this model object Attribute, and delete this attribute;
The part attribute of case-deleted models object;
Amendment refers to revise the property value of existing model object;
20. generate RDF file according to CIM variance data: CIM variance data tissue is become RDF file, organized Journey includes:
According to described interpolation, delete and change three classifications of model object, set up respectively correspondence NameSpace xmlns: add、xmlns:del、xmlns:mod;
Set up the executing rule adding, delete and change three classifications of model object;
30. resolve RDF file: distribution network system resolves RDF file automatically, obtains CIM data to be combined;
40. model difference data merge: distribution network system is by CIM data to be combined and system original CIM data Executing rule according to described RDF document addresses merges.
A kind of merging method of CIM variance data based on RDF, it is characterised in that: described Executing rule in step 20 particularly as follows:
Add model object time, indicate that the URI of model object goes out attribute and the property value of model object side by side, formed one complete Whole model object information;
When only adding the part attribute of model object, first with change identification model object, then add particular community in model object;
During case-deleted models object, the attribute of this model object is deleted together;
When only deleting the part attribute of object, first by particular community in change identification model object, then case-deleted models object;
When changing the property value of model object, directly new property value is set for attribute.
A kind of merging method of CIM variance data based on RDF, it is characterised in that: described In step 40, distribution network system treats pooled model, and to carry out proof procedure specific as follows:
If model to be added has existed and completely the same in original system model, the most do not carry out this interpolation operation;
If model to be deleted does not exists in original system model, the most do not carry out this deletion action;
If model to be modified does not exists in original system model or coincide with value to be revised, the most do not carry out this amendment Operation.
A kind of merging method of CIM variance data based on RDF, it is characterised in that: described In step 40, before CIM data merge, CIM data to be combined are verified, after being filtered by distribution network system CIM data to be combined, distribution network system is again by the CIM data to be combined after this filtration and the original CIM of system Executing rule according to described RDF document addresses merges.
A kind of merging method of CIM variance data based on RDF, it is characterised in that: described In step 40, CIM to be combined CIM original with system merges operation and includes: add new model object, deletion Existing model object and the property value of the existing model object of amendment.
CN201610249698.XA 2016-04-21 2016-04-21 RDF-based CIM model difference data combination method CN105930451A (en)

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