CN102855310A - Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model - Google Patents
Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model Download PDFInfo
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Abstract
The invention relates to a well-organized electricity utilization data conversion method and device based on an extensible customer segmentation model, and aims to achieve an effect that file data of a customer electricity utilization information acquisition system can be automatically converted into well-organized electricity utilization file data. The method comprises the following steps of: A, introducing a segmentation model based on a unified modeling language (UML) format of an initial user, and representing main objects in a well-organized electricity utilization management system as types, attributes and relations between the types and the attributes; B, extending the customer segmentation model; C, converting the customer segmentation model of a unified modeling language (UML) format into a radial distribution function (RDF) Schema document; D, converting the file data of the customer electricity utilization information acquisition system into a well-organized electricity utilization management system file model exchange document of an extensible markup language (XML) format according to a definition of the RDF Schema document; and E, resolving the well-organized electricity utilization management file data of the XML format by the well-organized electricity utilization management system by using the RDF Schema document, and extracting information of the well-organized electricity utilization management file data.
Description
Technical field
The present invention relates to electric power system data conversion field, in particular, the present invention relates to a kind of ordered electric data transfer device and device based on the scalable user Segmentation Model.
Background technology
Along with electric system towards high voltage, large electrical network, increasingly automated development, and the propelling of the power industry marketization, more and more urgent to the demand of enterprise-level and industry-level information sharing and application integration.All kinds of automated systems are used and are continued to bring out, and its data-switching demand has covered different levels, all require to realize conveniently, flexibly information sharing.
In the ordered electric management platform, the object of load control is not direct corresponding with the stoichiometric point of power consumer power information acquisition system, and customer profile, Metrological archives are also incomplete same.The ordered electric management platform will realize the analysis of various dimensions load data, to grasp in real time the professional Developing Condition of ordered electric comprehensively, for the ordered electric program decisions provides support, must make up user's disaggregated model, realize specially becoming subscriber segmentation, rationally determine orderly power program user object, load control object, use with the in-depth that adapts to the ordered electric management.
But the subscriber segmentation model is an abstract model, and it is the standard of undefined model database both, also the form of undefined data exchange.In engineering, need the implementation of subscriber segmentation model is made clear and definite, feasible regulation.
Simultaneously, in later stage ordered electric management platform operational process, the subscriber segmentation model may change, and needs a kind of method of supporting the subscriber segmentation model extension, can realizing the automatic conversion of ordered electric data for this reason.
Summary of the invention
Purpose of the present invention proposes a kind of ordered electric data transfer device based on the scalable user Segmentation Model exactly for addressing the above problem, and finally reaches user power utilization information acquisition system archives to effective conversion of ordered electric archives.
For achieving the above object, the present invention adopts following technical scheme:
A kind of ordered electric data transfer device based on the scalable user Segmentation Model, performing step is as follows:
A imports the Segmentation Model of the UML-based form of initial user, and the main object in the ordered electric management system is expressed as class, attribute and the relation between them;
B expands the subscriber segmentation model;
C is RDF Schema document with the subscriber segmentation model conversion of UML-based form;
D is converted to power information acquisition system file data the ordered electric management system archives model exchange document of XML form according to the definition of RDF Schema document;
E ordered electric management system is quoted RDF Schema document the ordered electric administer archive data of XML form is resolved, and extracts information wherein.
Among the described step B subscriber segmentation model extension is mainly finished by defining different new class and the attributes of NameSpace expansion, adopt independently NameSpace, the XML document of subscriber segmentation model is clearly divided into subscriber segmentation model standard and user-defined.
Subscriber segmentation model conversion process is among the described step C:
C1. initialization, in the subscriber segmentation model, select one with other class all related class as root element, it be mapped as RDF Schema the root ∑={ root}, the type of root is designated as type
Root, Γ={ type
Root, the best property of attribute mapping of root is type
RootUnder daughter element sequence ∑={ { root}, ∑
Root, then the root node element representation is { ∑, Γ, type
Root, ∑
Root;
C2. a class in the subscriber segmentation model is mapped to top layer element i among the RDF Schema, is designated as ε
i, ∑={ ε then
i, its Type mapping is complexType, is designated as τ, Γ={ τ } then, and the attribute type of class is mapped as existing identical data type among the RDF Schema, is designated as type
τ, then the i node element is expressed as { ∑, Γ, τ, type
τ;
Building data type or custom data type if C3. exist in the class, then its Type mapping is simpleType, is designated as τ ', Γ={ τ, τ ' }, and its best property of attribute mapping is the data type of restriction type, is designated as type
τ', incorporate in the set of node elements i;
If C4. there is multiplicity in the attribute of class, then its Type mapping is complexType, is designated as τ ", Γ={ τ, τ " }, it is stated with unique (reg exp
τ", type
τ") ordered pair represents, regular expression reg exp
τ" expressed the quantitative range that is nested in the daughter element in the element, be designated as L (reg exp
τ"), the corresponding mapping relations table of each complicated type is designated as ∑ ", ∑={ { ε
i, ∑ " }, and provide the type that is nested in daughter element in the complicated type, be designated as type
τ", all information is incorporated in the set of node elements i;
C5. repeat C2, C3, C4 step, until all handle on all summits;
C6. adopt polymorphic mechanism, by polymorphic tabulation, obtain the attribute of an element that to inherit there from parent, utilize blocking-up and rename to solve the conflict that causes because of succession between the element, utilize quoting of element and attribute to solve quoting between the element.
Ordered electric administer archive Data Analysis process comprises in the described step e:
E1. read subscriber segmentation model XML file, obtain the Document object;
Read the subscriber segmentation model file of required parsing according to the path, the read-write XML document mainly depends on the org.dom4j.io bag, uses the SAXReader mode to read,
SAXReader?reader=new?SAXReader()；
Document?document=reader.read(new?File(cim.xml))；
E2. obtain all nodes of required type according to the path, and be put among the List;
E3. all child nodes under certain node are traveled through, and obtain certain attribute-name and property value under certain node.
A kind of ordered electric data transfer device conversion equipment based on the scalable user Segmentation Model, this device comprises:
The Visualization Model editing machine is responsible for user's multidimensional Segmentation Model is showed, and for the user to existing model by the mode of operation such as dragging, drag to expand;
The model conversion device, the main subscriber segmentation model conversion of being responsible for the UML form is RDF Schema document, the definition procedure of RDF Schema is exactly the process of practical RDF Schema lexical representation user multidimensional Segmentation Model;
Data processing engine is converted to power information acquisition system file data the ordered electric management system file data of XML form;
The file data parsing module parses useful data in the XML form ordered electric management system file data for orderly power consuming administrative system based on subscriber segmentation model RDF Schema document.
The invention has the beneficial effects as follows:
1, be that each business object of ordered electric is set up the true index system that characterizes object by the subscriber segmentation model, comprise the index of the aspects such as electric weight, load, loss, the quality of power supply, provided simultaneously a kind of clear and definite, the feasible implementation of subscriber segmentation model in concrete engineering;
2, support the expansion of subscriber segmentation model, this method is supported in the later stage ordered electric management platform use procedure and controls actual conditions to the subscriber segmentation model extension according to load;
3, can be the ordered electric data model according to the subscriber segmentation model after the expansion with power information acquisition system data model translation automatically.
Description of drawings
Fig. 1 is the ordered electric data transfer device overview flow chart based on the scalable user Segmentation Model;
Fig. 2 is subscriber segmentation model conversion process flow diagram;
Fig. 3 is ordered electric administer archive Data Analysis process flow diagram;
Fig. 4 is the ordered electric DTU (Data Transfer unit) based on the scalable user Segmentation Model;
Fig. 5 is the subscriber segmentation illustraton of model after expanding;
Fig. 6 is the subscriber segmentation model attributes exemplary plot of expansion.
Embodiment
Below in conjunction with drawings and Examples the present invention is further specified:
With reference to figure 1, be the process flow diagram of a kind of ordered electric data transfer device based on the scalable user Segmentation Model of the present invention, may further comprise the steps:
A. import the initial user Segmentation Model;
B. the subscriber segmentation model is expanded;
C. the subscriber segmentation model conversion with the UML-based form is RDF Schema document;
D. according to the definition of RDF Schema document, power information acquisition system file data is converted to the ordered electric management system archives model exchange document of XML form;
E. the ordered electric management system is quoted RDF Schema document and the ordered electric administer archive data of XML form is resolved extraction information wherein.
The initial user Segmentation Model that imports in the described steps A is illustrated in fig. 5 shown below, negative control family, a negative control archive information for definition in the ordered electric system and management in the ordered electric subscriber segmentation model.Negative control family comprises two kinds of situations: for same operating account owing to sales service needs are divided into a plurality of contract accounts, the object that needs to manage in negative control business be this operating account, then this operating account can be born with one and control the family correspondence; A plurality of users' metering outfit is installed in the Same Physical position, a terminal device has only been installed at the scene, if these users can carry out Load Control Management as unified management object in negative control business, then these electricity consumptions client should be as the control of loading of unified negative keyholed back plate reason object, and these electricity consumptions client is with a negative control family correspondence.Negative control family can be according to ordered electric trade classification, light/the heavy industry classification, emphasis/non-key enterprise, whether highly energy-consuming, continuously/dimensions such as discontinuous enterprise, military project/unmilitary industry enterprise, control mode segment, thereby construct electricity consumption client's subscriber segmentation model.
The subscriber segmentation model extension is mainly finished by defining different new class and the attributes of NameSpace expansion among the described step B, owing to having adopted independently NameSpace, the XML document of subscriber segmentation model can be clear and definite which content of differentiation be subscriber segmentation model standard, which is user-defined.In the subscriber segmentation model, we can add the subscriber segmentation model attributes " workers' day off " of an expansion to negative control family class.If other system is lost interest in to this expansion, this customized mark can simply be neglected.Be illustrated in fig. 6 shown below, the attribute in workers' day off that indicates in the dotted line frame is the new attribute of later stage expansion.
With reference to figure 2, the subscriber segmentation model conversion comprises among the described step C:
C1. initialization, in the subscriber segmentation model, select one with other class all related class as root element, it be mapped as RDF Schema the root ∑={ root}, the type of root is designated as type
Root, Γ={ type
Root, the best property of attribute mapping of root is type
RootUnder daughter element sequence ∑={ { root}, ∑
Root, then the root node element representation is { ∑, Γ, type
Root, ∑
Root;
C2. a class in the subscriber segmentation model is mapped to top layer element i among the RDF Schema, is designated as ε
i, ∑={ ε then
i, its Type mapping is complexType, is designated as τ, Γ={ τ } then, and the attribute type of class is mapped as existing identical data type among the RDF Schema, is designated as type
τ, then the i node element is expressed as { ∑, Γ, τ, type
τ;
Building data type or custom data type if C3. exist in the class, then its Type mapping is simpleType, is designated as τ ', Γ={ τ, τ ' }, and its best property of attribute mapping is the data type of restriction type, is designated as type
τ', incorporate in the set of node elements i;
If C4. there is multiplicity in the attribute of class, then its Type mapping is complexType, is designated as τ ", Γ={ τ, τ " }, it is stated with unique (reg exp
τ", type
τ") ordered pair represents, regular expression reg exp
τ" expressed the quantitative range that is nested in the daughter element in the element, be designated as L (reg exp
τ"), the corresponding mapping relations table of each complicated type is designated as ∑ ", ∑={ { ε
i, ∑ " }, and provide the type that is nested in daughter element in the complicated type, be designated as type
τ", all information is incorporated in the set of node elements i;
C5. repeat C2, C3, C4 step, until all handle on all summits;
C6. adopt polymorphic mechanism, by polymorphic tabulation, obtain the attribute of an element that to inherit there from parent, utilize blocking-up and rename to solve the conflict that causes because of succession between the element, utilize quoting of element and attribute to solve quoting between the element.
As follows through the RDF Schema document that is converted to:
＜rdfs:Classrdf:ID=" negative control family "
＜rdfs:labelxml:lang=" the negative control of zh-CN "〉family＜/rdfs:label 〉
<rdfs：subClassOfrdf：resource=”rdfs：Resource″/>
＜rdfs:comment〉negative control family is the archive information of definition and management in the ordered electric management system, the one or more operating accounts of negative control family in can corresponding marketing system＜/rdfs:comment 〉
<dw：stereotype>″″<dw：stereotype>
</rdfs：Class>
＜rdfs:Propertyrdf:ID=" negative control family. negative control family sign "
＜rdfs:labelxml:lang=" the negative control of zh-CN "〉family sign＜/rdfs:label 〉
＜rdfs:domainrdf:resource=" the negative control of # family "/
＜rdfs:rangerdf:resource=" the negative control of # family sign "/
＜rdfs:comment〉" unique identification of negative control family in the ordered electric management system "
</rdfs：comment></rdf：Property>
......
＜rdfs:Propertyrdf:ID=" negative control family. workers' day off "
＜rdfs:labelxml:lang=" zh-CN "〉workers' day off＜/rdfs:label 〉
＜rdfs:domainrdf:resource=" the negative control of # family "/
＜rdfs:rangerdf:resource=" # workers' day off "/
＜rdfs:comment〉" be chosen to be workers' day off with the some day in the week or some days the workers' day off according to negative control family when negative prosecutor case is carried out, and regulation start time of rationing the power supply workers' day off, the duration section "
</rdfs：comment></rdf：Property>
Ordered electric administer archive among the described step D after the conversion is:
＜dw: negative control family rdf:ID=" _ 5 "
＜dw: negative control family. negative control family sign〉11010000001＜/dw: negative control family. negative control family sign 〉
＜dw: negative control family. negative control family numbering〉1＜/dw: negative control family. negative control family numbering 〉
＜dw: negative control family. negative control name in an account book claims〉XXXX client＜/dw: negative control family. negative control name in an account book claims 〉
......
＜kz: negative control family. workers' day off〉two, four＜/kz: negative control family. workers' day off 〉
......
With reference to figure 3, ordered electric administer archive Data Analysis process comprises in the described step e:
E1. read subscriber segmentation model XML file, obtain the Document object; Read the subscriber segmentation model file of required parsing according to the path, the read-write XML document mainly depends on the org.dom4j.io bag, uses the SAXReader mode to read,
SAXReader?reader=new?SAXReader()；
Document?document=reader.read(new?File(cim.xml))；
E2. obtain all nodes of required type according to the path, and be put among the List;
E3. all child nodes under certain node are traveled through, and obtain certain attribute-name and property value under certain node.
Are a kind of ordered electric archives conversion equipments based on customizable user's multidimensional Segmentation Model with reference to figure 4, this device comprises:
Visualization Model editing machine 402 is responsible for user's multidimensional Segmentation Model is showed, and for the user to existing model by the mode of operation such as dragging, drag to expand;
File data parsing module 404 parses useful data in the XML form ordered electric management system file data for orderly power consuming administrative system based on subscriber segmentation model RDF Schema document.
Claims (5)
1. the ordered electric data transfer device based on the scalable user Segmentation Model is characterized in that, performing step is as follows:
A imports the Segmentation Model of the UML-based form of initial user, and the main object in the ordered electric management system is expressed as class, attribute and the relation between them;
B expands the subscriber segmentation model;
C is RDF Schema document with the subscriber segmentation model conversion of UML-based form;
D is converted to power information acquisition system file data the ordered electric management system archives model exchange document of XML form according to the definition of RDF Schema document;
E ordered electric management system is quoted RDF Schema document the ordered electric administer archive data of XML form is resolved, and extracts information wherein.
2. the ordered electric data transfer device based on the scalable user Segmentation Model as claimed in claim 1, it is characterized in that, among the described step B subscriber segmentation model extension is mainly finished by defining different new class and the attributes of NameSpace expansion, adopt independently NameSpace, the XML document of subscriber segmentation model is clearly divided into subscriber segmentation model standard and user-defined.
3. the ordered electric data transfer device based on the scalable user Segmentation Model as claimed in claim 1 is characterized in that, subscriber segmentation model conversion process is among the described step C:
C1. initialization, in the subscriber segmentation model, select one with other class all related class as root element, it be mapped as RDF Schema the root ∑={ root}, the type of root is designated as type
Root, Γ={ type
Root, the best property of attribute mapping of root is type
RootUnder daughter element sequence ∑={ { root}, ∑
Root, then the root node element representation is { ∑, Γ, type
Root, ∑
Root;
C2. a class in the subscriber segmentation model is mapped to top layer element i among the RDF Schema, is designated as ε
i, ∑={ ε then
i, its Type mapping is complexType, is designated as τ, Γ={ τ } then, and the attribute type of class is mapped as existing identical data type among the RDF Schema, is designated as type
τ, then the i node element is expressed as { ∑, Γ, τ, type
τ;
Building data type or custom data type if C3. exist in the class, then its Type mapping is simpleType, is designated as τ ', Γ={ τ, τ ' }, and its best property of attribute mapping is the data type of restriction type, is designated as type
τ', incorporate in the set of node elements i;
If C4. there is multiplicity in the attribute of class, then its Type mapping is complexType, is designated as τ ", Γ={ τ, τ " }, it is stated with unique (reg exp
τ", type
τ") ordered pair represents, regular expression reg exp
τ" expressed the quantitative range that is nested in the daughter element in the element, be designated as L (reg exp
τ"), the corresponding mapping relations table of each complicated type is designated as ∑ ", ∑={ { ε
i, ∑ " }, and provide the type that is nested in daughter element in the complicated type, be designated as type
τ", all information is incorporated in the set of node elements i;
C5. repeat C2, C3, C4 step, until all handle on all summits;
C6. adopt polymorphic mechanism, by polymorphic tabulation, obtain the attribute of an element that to inherit there from parent, utilize blocking-up and rename to solve the conflict that causes because of succession between the element, utilize quoting of element and attribute to solve quoting between the element.
4. the ordered electric data transfer device based on the scalable user Segmentation Model as claimed in claim 1 is characterized in that, ordered electric administer archive Data Analysis process comprises in the described step e:
E1. read subscriber segmentation model XML file, obtain the Document object;
Read the subscriber segmentation model file of required parsing according to the path, the read-write XML document mainly depends on the org.dom4j.io bag, uses the SAXReader mode to read,
SAXReader?reader=new?SAXReader()；
Document?document=readet.read(new?File(cim.xml))；
E2. obtain all nodes of required type according to the path, and be put among the List;
E3. all child nodes under certain node are traveled through, and obtain certain attribute-name and property value under certain node.
5. the ordered electric data transfer device conversion equipment based on the scalable user Segmentation Model claimed in claim 1 is characterized in that, this device comprises:
The Visualization Model editing machine is responsible for user's multidimensional Segmentation Model is showed, and for the user to existing model by the mode of operation such as dragging, drag to expand;
The model conversion device, the main subscriber segmentation model conversion of being responsible for the UML form is the RDFSchema document, the definition procedure of RDF Schema is exactly the process of practical RDF Schema lexical representation user multidimensional Segmentation Model;
Data processing engine is converted to power information acquisition system file data the ordered electric management system file data of XML form;
The file data parsing module parses useful data in the XML form ordered electric management system file data for orderly power consuming administrative system based on subscriber segmentation model RDF Schema document.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104050516A (en) * | 2014-06-19 | 2014-09-17 | 国家电网公司 | Fair and orderly electricity utilization method based on user interaction ability |
| CN104156219A (en) * | 2014-08-20 | 2014-11-19 | 国家电网公司 | Electric power marketing and distributing model verifying method based on ontology technology |
| CN109918050A (en) * | 2019-02-01 | 2019-06-21 | 上海交通大学 | A kind of software requirement description rule language and conversion method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1482432A2 (en) * | 2003-05-27 | 2004-12-01 | Cognos Incorporated | System and method of modelling of a multi-dimensional data source in an entity-relationship model |
| US7111018B1 (en) * | 2000-10-30 | 2006-09-19 | Margaret E Goodrich | System and method for integrating electrical power grid and related data from various proprietary raw data formats into a single maintainable electrically connected database |
| CN101149748A (en) * | 2007-10-29 | 2008-03-26 | 浙江大学 | Editing method of semantic mapping information between ontology schema and relational database schema |
| CN101789042A (en) * | 2010-01-29 | 2010-07-28 | 华东电网有限公司 | Model increment comparing tool of common information model (CIM) of electric network enterprise |
| CN102542513A (en) * | 2012-01-17 | 2012-07-04 | 上海交通大学 | Body-based verification tool of power grid public information model and method thereof |
-
2012
- 2012-08-23 CN CN201210301835.1A patent/CN102855310B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7111018B1 (en) * | 2000-10-30 | 2006-09-19 | Margaret E Goodrich | System and method for integrating electrical power grid and related data from various proprietary raw data formats into a single maintainable electrically connected database |
| EP1482432A2 (en) * | 2003-05-27 | 2004-12-01 | Cognos Incorporated | System and method of modelling of a multi-dimensional data source in an entity-relationship model |
| CN101149748A (en) * | 2007-10-29 | 2008-03-26 | 浙江大学 | Editing method of semantic mapping information between ontology schema and relational database schema |
| CN101789042A (en) * | 2010-01-29 | 2010-07-28 | 华东电网有限公司 | Model increment comparing tool of common information model (CIM) of electric network enterprise |
| CN102542513A (en) * | 2012-01-17 | 2012-07-04 | 上海交通大学 | Body-based verification tool of power grid public information model and method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 陈振庆: "基于XMI的UML模型向OWL本体转换方案", 《贺州学院学报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104050516A (en) * | 2014-06-19 | 2014-09-17 | 国家电网公司 | Fair and orderly electricity utilization method based on user interaction ability |
| CN104156219A (en) * | 2014-08-20 | 2014-11-19 | 国家电网公司 | Electric power marketing and distributing model verifying method based on ontology technology |
| CN109918050A (en) * | 2019-02-01 | 2019-06-21 | 上海交通大学 | A kind of software requirement description rule language and conversion method |
| CN109918050B (en) * | 2019-02-01 | 2021-10-26 | 上海交通大学 | Software requirement description rule language and conversion method |
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