CN102855310B - 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 art, in particular, the present invention relates to a kind of ordered electric data transfer device based on scalable user Segmentation Model and device.
Background technology
Along with electric system is towards high voltage, bulk power grid, 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 system application continues to bring out, and its data conversion requirements covers different levels, all requires conveniently, realizes information sharing flexibly.
In ordered electric management platform, the object of spatial load forecasting is with the stoichiometric point of power user power consumption information acquisition system and non-immediate is corresponding, and customer profile, Metrological archives are also incomplete same.Ordered electric management platform will realize the analysis of various dimensions load data, to grasp ordered electric business Developing Condition in real time comprehensively, for ordered electric program decisions provides support, users classification model must be built, realize specially becoming subscriber segmentation, rationally determine orderly power program user object, spatial load forecasting object, to adapt to the strengthened research of ordered electric management.
But subscriber segmentation model is an abstract model, the specification of its both undefined model database, the also form that exchanges of undefined data.Need to make clear and definite, feasible regulation to the implementation of subscriber segmentation model in engineering.
Meanwhile, in later stage ordered electric management platform operational process, subscriber segmentation model may change, and needs a kind ofly to support subscriber segmentation model extension for this reason, can realize the method that ordered electric data change automatically.
Summary of the invention
Object of the present invention, exactly for solving the problem, proposes a kind of ordered electric data transfer device based on scalable user Segmentation Model, finally reaches the effective conversion of user power utilization information acquisition system archives to ordered electric archives.
For achieving the above object, the present invention adopts following technical scheme:
Based on an ordered electric data transfer device for scalable user Segmentation Model, performing step is as follows:
A imports the Segmentation Model based on UML form of initial user, the main object in ordered electric management system is expressed as class, attribute and the relation between them;
B expands subscriber segmentation model;
Subscriber segmentation model conversion based on UML form is RDF Schema document by C;
D is according to the definition of RDF Schema document, and ordered electric management system record model power information acquisition system file data being converted to XML format exchanges document;
E ordered electric management system is quoted the ordered electric administer archive data of RDF Schema document to XML format and is resolved, and extracts information wherein.
In described step B to subscriber segmentation model extension mainly through defining different NameSpaces and expand new class and attribute completing, adopt independently NameSpace, the XML document of subscriber segmentation model is clearly divided into subscriber segmentation model criteria and user-defined.
In described step C, subscriber segmentation model conversion process is:
C1. initialization, in subscriber segmentation model select one with all related class of other class as root element, it be mapped as RDF Schema 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 root node element representation is { ∑, Γ, type
root, ∑
root;
C2. the class of in subscriber segmentation model is mapped to the top-level elements i in RDF Schema, is designated as ε
i, then ∑={ ε
i, its Type mapping is complexType, is designated as τ, then Γ={ τ }, and the attribute type of class is mapped as existing identical data type in RDF Schema, is designated as type
τ, then i node element is expressed as { ∑, Γ, τ, type
τ;
Building data type or custom data type if C3. exist in class, then its Type mapping is simpleType, is designated as τ ', and Γ={ τ, τ ' }, its best property of attribute mapping is the data type of restriction type, is designated as type
τ', be incorporated in the set of node elements i;
If C4. the attribute of class exists multiplicity, then its Type mapping is complexType, is designated as τ ", Γ={ τ, τ " }, unique (reg exp of its statement
τ", type
τ") ordered pair represents, regular expression reg exp
τ" have expressed the quantitative range of the daughter element be nested in 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 being nested in daughter element in complicated type, be designated as type
τ", all information is incorporated in the set of node elements i;
C5. C2, C3, C4 step is repeated, until all summits all process;
C6. adopt polymorphic mechanism, by polymorphic list, obtain the attribute of an element that will inherit from parent there, utilize blocking-up and rename to solve the conflict caused because of succession between element, utilize element and quoting of attribute to solve quoting between element.
In described step e, ordered electric administer archive Data Analysis process comprises:
E1. read subscriber segmentation model XML file, obtain Document object;
Read required subscriber segmentation model file of resolving according to path, read-write XML document depends on org.dom4j.io bag, uses 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 path, and be put in List;
E3. child nodes all under certain node are traveled through, and certain attribute-name under obtaining certain node and property value.
Based on an ordered electric data transfer device conversion equipment for scalable user Segmentation Model, this device comprises:
Visualization Model editing machine, is responsible for user's multidimensional Segmentation Model to show, and expands by the mode of operation such as dragging, drag existing model for user;
Model conversion device, the subscriber segmentation model conversion of UML form is RDF Schema document by primary responsibility, and 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 the ordered electric management system file data of XML format by power information acquisition system file data;
File data parsing module, parses useful data in XML format 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 the true index system that each business object of ordered electric sets up characterizing objects by subscriber segmentation model, comprise the index of the aspects such as electricity, load, loss, the quality of power supply, give a kind of clear and definite, the feasible implementation of subscriber segmentation model in concrete engineering simultaneously;
2, support the expansion of subscriber segmentation model, this method to be supported in later stage ordered electric management platform use procedure according to spatial load forecasting actual conditions subscriber segmentation model extension;
3, can be ordered electric data model according to the subscriber segmentation model after expansion by power information acquisition system data model translation automatically.
Accompanying drawing explanation
Fig. 1 is the ordered electric data transfer device overview flow chart based on 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 scalable user Segmentation Model;
Fig. 5 is the subscriber segmentation illustraton of model after expansion;
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 described:
With reference to figure 1, be the process flow diagram of a kind of ordered electric data transfer device based on scalable user Segmentation Model of the present invention, comprise the following steps:
A. initial user Segmentation Model is imported;
B. subscriber segmentation model is expanded;
C. be RDF Schema document by the subscriber segmentation model conversion based on UML form;
D. according to the definition of RDF Schema document, ordered electric management system record model power information acquisition system file data being converted to XML format exchanges document;
E. ordered electric management system is quoted the ordered electric administer archive data of RDF Schema document to XML format and is resolved, and extracts information wherein.
The initial user Segmentation Model imported in described steps A is illustrated in fig. 5 shown below, and in ordered electric subscriber segmentation model, negative control family, negative control point are for defining and the archive information managed in ordered electric system.Negative control family comprises two kinds of situations: be divided into multiple contract account for same operating account due to sales service needs, need the object managed to be this operating account in negative control business, then this operating account can be corresponding with a negative control family; The metering outfit of multiple user is arranged on Same Physical position, a terminal device has only been installed at scene, if these users can carry out Load Control Management as unified management object in negative control business, then these Electricity customers should carry out spatial load forecasting as unified negative control management object, and these Electricity customers are corresponding with a negative control family.Whether negative control family can be segmented, thus construct the subscriber segmentation model of Electricity customers according to ordered electric trade classification, light/heavy industry classification, emphasis/non-key enterprise, highly energy-consuming, continuously/dimension such as discontinuous enterprise, military project/unmilitary industry enterprise, control mode.
In described step B, subscriber segmentation model extension is mainly through defining different NameSpaces and expand new class and attribute completing, owing to have employed independently NameSpace, the XML document of subscriber segmentation model can be clear and definite which content of differentiation be subscriber segmentation model criteria, which is user-defined.In 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 this expansion, this customized mark can simply be neglected.Be illustrated in fig. 6 shown below, the attribute in workers' day off indicated in dotted line frame is the new attribute of later stage expansion.
With reference to figure 2, in described step C, subscriber segmentation model conversion comprises:
C1. initialization, in subscriber segmentation model select one with all related class of other class as root element, it be mapped as RDF Schema 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 root node element representation is { ∑, Γ, type
root, ∑
root;
C2. the class of in subscriber segmentation model is mapped to the top-level elements i in RDF Schema, is designated as ε
i, then ∑={ ε
i, its Type mapping is complexType, is designated as τ, then Γ={ τ }, and the attribute type of class is mapped as existing identical data type in RDF Schema, is designated as type
τ, then i node element is expressed as { ∑, Γ, τ, type
τ;
Building data type or custom data type if C3. exist in class, then its Type mapping is simpleType, is designated as τ ', and Γ={ τ, τ ' }, its best property of attribute mapping is the data type of restriction type, is designated as type
τ', be incorporated in the set of node elements i;
If C4. the attribute of class exists multiplicity, then its Type mapping is complexType, is designated as τ ", Γ={ τ, τ " }, unique (reg exp of its statement
τ", type
τ") ordered pair represents, regular expression reg exp
τ" have expressed the quantitative range of the daughter element be nested in 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 being nested in daughter element in complicated type, be designated as type
τ", all information is incorporated in the set of node elements i;
C5. C2, C3, C4 step is repeated, until all summits all process;
C6. adopt polymorphic mechanism, by polymorphic list, obtain the attribute of an element that will inherit from parent there, utilize blocking-up and rename to solve the conflict caused because of succession between element, utilize element and quoting of attribute to solve quoting between element.
RDF Schema document through being converted to is as follows:
<rdfs:Classrdf:ID=" negative control family " >
<rdfs:labelxml:lang=" zh-CN " > negative control family </rdfs:label>
<rdfs：subClassOfrdf：resource=”rdfs：Resource″/>
It is define in ordered electric management system and the archive information managed that <rdfs:comment> bears control family, and negative control family may correspond to the one or more operating account </rdfs:comment> in marketing system
<dw：stereotype>″″<dw：stereotype>
</rdfs：Class>
<rdfs:Propertyrdf:ID=" negative control family. negative control family mark " >
<rdfs:labelxml:lang=" zh-CN " > negative control family mark </rdfs:label>
<rdfs:domainrdf:resource=" # negative control family "/>
<rdfs:rangerdf:resource=" # negative control family mark "/>
<rdfs:comment> " unique identification of negative control family in ordered electric management system "
</rdfs：comment></rdf：Property>
<rdfs:Propertyrdf:ID=" negative control family. workers' day off " >
<rdfs:labelxml:lang=" zh-CN " > </rdfs:label> in workers' day off
<rdfs:domainrdf:resource=" # negative control family "/>
<rdfs:rangerdf:resource=" # workers' day off "/>
<rdfs:comment> " according to the negative workers' day off controlling family the some day in one week or some skies being chosen to be workers' day off when negative prosecutor case performs, and the start time that regulation is rationed the power supply workers' day off, duration section "
</rdfs：comment></rdf：Property>
Ordered electric administer archive in described step D after conversion is:
_ 5 <dw: negative control family rdf:ID=" " >
<dw: negative control family. negative control family mark >11010000001</dw: negative control family. negative control family mark >
<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. and negative control name in an account book claims >
<kz: negative control family. workers' day off > bis-, four </kz: negative control family. workers' day off >
With reference to figure 3, in described step e, ordered electric administer archive Data Analysis process comprises:
E1. read subscriber segmentation model XML file, obtain Document object; Read required subscriber segmentation model file of resolving according to path, read-write XML document depends on org.dom4j.io bag, uses 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 path, and be put in List;
E3. child nodes all under certain node are traveled through, and certain attribute-name under obtaining certain node and property value.
Are a kind of ordered electric file conversion device based on customizable user multidimensional Segmentation Model with reference to figure 4, this device comprises:
Visualization Model editing machine 402, is responsible for user's multidimensional Segmentation Model to show, and expands by the mode of operation such as dragging, drag existing model for user;
Model conversion device 401, the subscriber segmentation model conversion of UML form is RDF Schema document by primary responsibility, and the definition procedure of RDF Schema is exactly the process of practical RDF Schema lexical representation user multidimensional Segmentation Model;
Data processing engine 403, is converted to the ordered electric management system file data of XML format by power information acquisition system file data;
File data parsing module 404, parses useful data in XML format ordered electric management system file data for orderly power consuming administrative system based on subscriber segmentation model RDF Schema document.
Claims (2)
1., based on an ordered electric data transfer device for scalable user Segmentation Model, it is characterized in that, performing step is as follows:
A imports the Segmentation Model based on UML form of initial user, the main object in ordered electric management system is expressed as class, attribute and the relation between them;
B expands subscriber segmentation model; In described step B to subscriber segmentation model extension mainly through defining different NameSpaces and expand new class and attribute completing, adopt independently NameSpace, the XML document of subscriber segmentation model is clearly divided into subscriber segmentation model criteria and user-defined;
Subscriber segmentation model conversion based on UML form is RDF Schema document by C;
In described step C, subscriber segmentation model conversion process is:
C1. initialization, in subscriber segmentation model select one with all related class of other class as root element, it be mapped as RDF Schema 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 root node element representation is { ∑, Γ, type
root, ∑
root;
C2. the class of in subscriber segmentation model is mapped to the top-level elements i in RDF Schema, is designated as ε
i, then ∑={ ε
i, its Type mapping is complexType, is designated as τ, then Γ={ τ }, and the attribute type of class is mapped as existing identical data type in RDF Schema, is designated as type
τ, then i node element is expressed as { ∑, Γ, τ, type
τ;
Building data type or custom data type if C3. exist in class, then its Type mapping is simpleType, is designated as τ ', and Γ={ τ, τ ' }, its best property of attribute mapping is the data type of restriction type, is designated as type
τ ', be incorporated in the set of node elements i;
If C4. the attribute of class exists multiplicity, then its Type mapping is complexType, is designated as τ ", Γ={ τ, τ " }, unique (reg exp of its statement
τ ", type
τ ") ordered pair represents, regular expression reg exp
τ "have expressed the quantitative range of the daughter element be nested in 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 being nested in daughter element in complicated type, be designated as type
τ ", all information is incorporated in the set of node elements i;
C5. C2, C3, C4 step is repeated, until all summits all process;
C6. adopt polymorphic mechanism, by polymorphic list, obtain the attribute of an element that will inherit from parent there, utilize blocking-up and rename to solve the conflict caused because of succession between element, utilize element and quoting of attribute to solve quoting between element;
D is according to the definition of RDF Schema document, and ordered electric management system record model power information acquisition system file data being converted to XML format exchanges document;
E ordered electric management system is quoted the ordered electric administer archive data of RDF Schema document to XML format and is resolved, and extracts information wherein;
In described step e, ordered electric administer archive Data Analysis process comprises:
E1. read subscriber segmentation model XML file, obtain Document object;
Read required subscriber segmentation model file of resolving according to path, read-write XML document depends on org.dom4j.io bag, uses SAXReader mode to read,
E2. obtain all nodes of required type according to path, and be put in List;
E3. child nodes all under certain node are traveled through, and certain attribute-name under obtaining certain node and property value.
2. based on an ordered electric DTU (Data Transfer unit) for scalable user Segmentation Model, it is characterized in that, this device comprises:
Import module: the Segmentation Model based on UML form importing initial user, is expressed as class, attribute and the relation between them by the main object in ordered electric management system;
Expansion module: subscriber segmentation model is expanded; In described expansion module to subscriber segmentation model extension mainly through defining different NameSpaces and expand new class and attribute completing, adopt independently NameSpace, the XML document of subscriber segmentation model is clearly divided into subscriber segmentation model criteria and user-defined;
First modular converter: be RDF Schema document by the subscriber segmentation model conversion based on UML form;
Described first modular converter comprises:
First map unit: initialization, in subscriber segmentation model select one with all related class of other class as root element, it be mapped as RDF Schema 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 root node element representation is { ∑, Γ, type
root, ∑
root;
Second map unit: the class of in subscriber segmentation model is mapped to the top-level elements i in RDF Schema, is designated as ε
i, then ∑={ ε
i, its Type mapping is complexType, is designated as τ, then Γ={ τ }, and the attribute type of class is mapped as existing identical data type in RDF Schema, is designated as type
τ, then i node element is expressed as { ∑, Γ, τ, type
τ;
3rd map unit: building data type or custom data type if exist in class, then its Type mapping is simpleType, is designated as τ ', and Γ={ τ, τ ' }, its best property of attribute mapping is the data type of restriction type, is designated as type
τ ', be incorporated in the set of node elements i;
4th map unit: if the attribute of class exists multiplicity, then its Type mapping is complexType, is designated as τ ", Γ={ τ, τ " }, unique (reg exp of its statement
τ ", type
τ ") ordered pair represents, regular expression reg exp
τ "have expressed the quantitative range of the daughter element be nested in 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 being nested in daughter element in complicated type, be designated as type
τ ", all information is incorporated in the set of node elements i;
Repetitive: the work repeating the second map unit, the 3rd map unit, the 4th map unit, until all summits all process;
Conflict solving unit: adopt polymorphic mechanism, by polymorphic list, obtain the attribute of an element that will inherit from parent there, utilize blocking-up and rename to solve the conflict caused because of succession between element, utilize element and quoting of attribute to solve quoting between element;
Second modular converter: according to the definition of RDF Schema document, ordered electric management system record model power information acquisition system file data being converted to XML format exchanges document;
Parsing module: ordered electric management system is quoted the ordered electric administer archive data of RDF Schema document to XML format and resolved, extracts information wherein;
Described parsing module comprises:
File reading unit: read subscriber segmentation model XML file, obtain Document object;
Read required subscriber segmentation model file of resolving according to path, read-write XML document depends on org.dom4j.io bag, uses SAXReader mode to read,
Obtain node unit: all nodes obtaining required type according to path, and be put in List;
Traversal Unit: child nodes all under certain node are traveled through, and certain attribute-name under obtaining certain node and property value.
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| 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 |
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