[go: up one dir, main page]

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 PDF

Info

Publication number
CN102855310A
CN102855310A CN2012103018351A CN201210301835A CN102855310A CN 102855310 A CN102855310 A CN 102855310A CN 2012103018351 A CN2012103018351 A CN 2012103018351A CN 201210301835 A CN201210301835 A CN 201210301835A CN 102855310 A CN102855310 A CN 102855310A
Authority
CN
China
Prior art keywords
type
user
segmentation model
power consumption
root
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2012103018351A
Other languages
Chinese (zh)
Other versions
CN102855310B (en
Inventor
黄建军
候兴哲
杨永加
慕福林
田野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd
Original Assignee
Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd filed Critical Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd
Priority to CN201210301835.1A priority Critical patent/CN102855310B/en
Publication of CN102855310A publication Critical patent/CN102855310A/en
Application granted granted Critical
Publication of CN102855310B publication Critical patent/CN102855310B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

本发明涉及一种基于可扩展用户细分模型的有序用电数据转换方法及装置,用以解决用户用电信息采集系统档案数据到有序用电档案数据的自动转换问题。包括以下步骤:A导入初始用户的基于UML格式的细分模型,将有序用电管理系统里的主要对象表示为类、属性以及它们之间的关系;B对用户细分模型进行扩展;C将基于UML格式的用户细分模型转换为RDF Schema文档;D根据RDF Schema文档的定义,将用电信息采集系统档案数据转换为XML格式的有序用电管理系统档案模型交换文档;E有序用电管理系统引用RDF Schema文档对XML格式的有序用电管理档案数据进行解析,提取其中的信息。

Figure 201210301835

The invention relates to a method and device for converting ordered power consumption data based on an extensible user subdivision model, which are used to solve the problem of automatic conversion from file data of a user power consumption information collection system to ordered power consumption file data. It includes the following steps: A. Import the subdivision model based on UML format of the initial user, and express the main objects in the orderly power consumption management system as classes, attributes and the relationship between them; B. Extend the user subdivision model; C Convert the user segmentation model based on UML format into an RDF Schema document; D According to the definition of the RDF Schema document, convert the archive data of the electricity consumption information collection system into an XML format orderly power consumption management system archive model exchange document; Eorderly The power consumption management system refers to the RDF Schema document to analyze the orderly power consumption management file data in XML format and extract the information.

Figure 201210301835

Description

Ordered electric data transfer device and device based on the scalable user Segmentation Model
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;
Model conversion device 401, 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 403 is converted to power information acquisition system file data the ordered electric management system file data of XML form;
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)

1.一种基于可扩展用户细分模型的有序用电数据转换方法,其特征是,实现步骤如下:1. A method for converting orderly electricity consumption data based on an expandable user subdivision model, characterized in that the implementation steps are as follows: A导入初始用户的基于UML格式的细分模型,将有序用电管理系统里的主要对象表示为类、属性以及它们之间的关系;A Import the UML-based subdivision model of the initial user, and express the main objects in the orderly power consumption management system as classes, attributes and the relationship between them; B对用户细分模型进行扩展;B expands the user segmentation model; C将基于UML格式的用户细分模型转换为RDF Schema文档;C converts the UML-based user segmentation model into an RDF Schema document; D根据RDF Schema文档的定义,将用电信息采集系统档案数据转换为XML格式的有序用电管理系统档案模型交换文档;D According to the definition of the RDF Schema document, the file data of the power consumption information collection system is converted into an orderly power consumption management system file model exchange document in XML format; E有序用电管理系统引用RDF Schema文档对XML格式的有序用电管理档案数据进行解析,提取其中的信息。E The orderly power consumption management system refers to the RDF Schema document to analyze the orderly power consumption management file data in XML format and extract the information. 2.如权利要求1所述的基于可扩展用户细分模型的有序用电数据转换方法,其特征是,所述步骤B中对用户细分模型扩展主要通过定义不同的命名空间扩充新的类和属性完成,采用独立的命名空间,将用户细分模型的XML文档明确区分为用户细分模型标准的以及用户自定义的。2. The method for transforming ordered power consumption data based on an extensible user segmentation model as claimed in claim 1, wherein in said step B, the user segmentation model is expanded mainly by defining different namespaces to expand new Classes and attributes are completed, and an independent namespace is used to clearly distinguish the XML document of the user segmentation model into standard user segmentation models and user-defined ones. 3.如权利要求1所述的基于可扩展用户细分模型的有序用电数据转换方法,其特征是,所述步骤C中用户细分模型转换过程为:3. The method for converting orderly electricity consumption data based on an extensible user segmentation model as claimed in claim 1, wherein the user segmentation model conversion process in the step C is as follows: C1.初始化,在用户细分模型中选择一个与其它类都有关联的类作为根元素,把它映射为RDF Schema的根∑={root},根的类型记为typeroot,Γ={typeroot},根的属性映射为typeroot下的子元素序列∑={{root},∑root},则根节点元素表示为{∑,Γ,typeroot,∑root};C1. Initialization, select a class related to other classes in the user segmentation model as the root element, and map it to the root of RDF Schema ∑={root}, the type of the root is recorded as type root , Γ={type root }, the attribute of the root is mapped to the sub-element sequence ∑={{root}, ∑ root } under type root , then the root node element is expressed as {∑, Γ, type root , ∑ root }; C2.对用户细分模型中的一个类映射成RDF Schema中的顶层元素i,记为εi,则∑={εi},它的类型映射为complexType,记为τ,则Γ={τ},类的属性类型映射为RDF Schema中已有的相同的数据类型,记为typeτ,则i元素节点表示为{∑,Γ,τ,typeτ};C2. Map a class in the user segmentation model to the top element i in the RDF Schema, denoted as ε i , then ∑={ε i }, its type is mapped to complexType, denoted as τ, then Γ={τ }, the attribute type of the class is mapped to the same data type existing in RDF Schema, which is recorded as type τ , and the i element node is expressed as {∑, Γ, τ, type τ }; C3.若类中存在在建数据类型或用户自定义的数据类型,则它的类型映射为simpleType,记为τ′,Γ={τ,τ′},其属性映射为restriction型的数据类型,记为typeτ′,并入节点元素i的集合中;C3. If there is a data type under construction or a user-defined data type in the class, its type mapping is simpleType, which is recorded as τ′, Γ={τ, τ′}, and its attribute mapping is a restriction data type. Recorded as type τ ′, merged into the set of node element i; C4.若类的属性存在多重性,则它的类型映射为complexType,记为τ″,Γ={τ,τ″},其声明用唯一的(reg expτ″,typeτ″)序对表示,正则表达式reg expτ″表达了嵌套在元素中的子元素的数量范围,记为L(reg expτ″),每个复杂类型对应一个映射关系表,记为∑″,∑={{εi},∑″},并给出嵌套在复杂类型中子元素的类型,记为typeτ″,把所有的信息并入节点元素i的集合中;C4. If there is multiplicity in the attributes of the class, its type mapping is complexType, which is recorded as τ″, Γ={τ, τ″}, and its declaration is represented by a unique (reg exp τ ″, type τ ″) sequence pair , the regular expression reg exp τ ″ expresses the range of the number of sub-elements nested in the element, denoted as L(reg exp τ ″), each complex type corresponds to a mapping table, denoted as ∑ ″, ∑={ {ε i }, ∑″}, and give the type of sub-element nested in the complex type, denoted as type τ ″, merge all the information into the set of node element i; C5.重复C2、C3、C4步骤,直至所有顶点都处理完;C5. Repeat steps C2, C3, and C4 until all vertices are processed; C6.采用多态机制,通过多态列表,从父类那里得到所要继承的元素的属性,利用阻断和重命名来解决元素之间因继承而引发的冲突,利用元素和属性的引用来解决元素之间的引用。C6. Adopt the polymorphic mechanism, obtain the attributes of the elements to be inherited from the parent class through the polymorphic list, use blocking and renaming to resolve conflicts caused by inheritance between elements, and use element and attribute references to resolve References between elements. 4.如权利要求1所述的基于可扩展用户细分模型的有序用电数据转换方法,其特征是,所述步骤E中有序用电管理档案数据解析过程包括:4. The method for converting ordered power consumption data based on an extensible user segmentation model as claimed in claim 1, wherein the data analysis process of ordered power consumption management files in the step E comprises: E1.读取用户细分模型XML文件,获得Document对象;E1. Read the XML file of the user segmentation model to obtain the Document object; 根据路径读取所需解析的用户细分模型文件,读写XML文档主要依赖于org.dom4j.io包,使用SAXReader方式进行读取,Read the user segmentation model file that needs to be parsed according to the path. Reading and writing XML documents mainly depends on the org.dom4j.io package, and use SAXReader to read. SAXReader reader=new SAXReader();SAXReader reader = new SAXReader(); Document document=readet.read(new File(cim.xml));Document document=readet.read(new File(cim.xml)); E2.根据路径取得所需类型的所有节点,并放到List中;E2. Obtain all nodes of the required type according to the path, and put them into the List; E3.对某节点下所有子节点进行遍历,并取得某节点下的某属性名和属性值。E3. Traverse all child nodes under a certain node, and obtain a certain attribute name and attribute value under a certain node. 5.一种权利要求1所述的基于可扩展用户细分模型的有序用电数据转换方法用转换装置,其特征是,该装置包括:5. A conversion device for the method for converting power consumption data based on the scalable user subdivision model according to claim 1, characterized in that the device comprises: 可视化模型编辑器,负责将用户多维细分模型进行展示,并供用户对已有模型通过拖、拽等操作方式进行扩展;The visual model editor is responsible for displaying the user's multi-dimensional subdivision model and allowing the user to expand the existing model by dragging and dropping; 模型转换器,主要负责将UML格式的用户细分模型转换为RDFSchema文档,RDF Schema的定义过程就是实用RDF Schema词汇表达用户多维细分模型的过程;The model converter is mainly responsible for converting the user segmentation model in UML format into an RDFSchema document. The definition process of RDF Schema is the process of expressing the user multi-dimensional segmentation model with RDF Schema vocabulary; 数据处理引擎,将用电信息采集系统档案数据转换为XML格式的有序用电管理系统档案数据;The data processing engine converts the file data of the power consumption information collection system into the file data of the orderly power consumption management system in XML format; 档案数据解析模块,基于用户细分模型RDF Schema文档将XML格式有序用电管理系统档案数据中有用数据解析出来供有序用电管理系统使用。The file data parsing module, based on the RDF Schema document of the user segmentation model, parses the useful data in the file data of the orderly power consumption management system in XML format for use by the orderly power use management system.
CN201210301835.1A 2012-08-23 2012-08-23 Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model Expired - Fee Related CN102855310B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210301835.1A CN102855310B (en) 2012-08-23 2012-08-23 Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210301835.1A CN102855310B (en) 2012-08-23 2012-08-23 Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model

Publications (2)

Publication Number Publication Date
CN102855310A true CN102855310A (en) 2013-01-02
CN102855310B CN102855310B (en) 2014-12-17

Family

ID=47401898

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210301835.1A Expired - Fee Related CN102855310B (en) 2012-08-23 2012-08-23 Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model

Country Status (1)

Country Link
CN (1) CN102855310B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
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 software requirement description rule language and conversion method

Citations (5)

* Cited by examiner, † Cited by third party
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

Patent Citations (5)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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 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

Also Published As

Publication number Publication date
CN102855310B (en) 2014-12-17

Similar Documents

Publication Publication Date Title
CN101794226B (en) Service software construction method and system adapting to multiple business abstraction levels
CN102750406B (en) Multi-version management method for model set and difference model-based power grid model
CN103699572B (en) A method for integrating and sharing digital media content resources in a cloud environment
CN101488086A (en) Software generation method and apparatus based on field model
CN103279454A (en) Document automatic generation method, device and system
CN110032594B (en) Customizable data extraction method and device for multi-source database and storage medium
CN105574303A (en) Enterprise informatization operation system
US20110106516A1 (en) Automated derivation, design and execution of industry-specific information environment
CN110489749A (en) Intelligent Office-Automation System Work Flow Optimizing
CN104112004A (en) Method for intelligently copying data on user interface
CN104731606A (en) System and method based on identification grasping technology to achieve enterprise application integration management
KR102339897B1 (en) Method for providing business process management system based on automatic report generation
JP2006244467A5 (en)
CN102855310A (en) Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model
CN109597603B (en) An automatic generation method of requirements document based on document component
CN118012419B (en) Software function generation method and system based on deep learning
Zhang et al. A system modeling process based on SysML to support data consistency across system requirement, function, and solution model layers
WO2016000563A1 (en) Method for unifying tool and information coming from multiple information sources, and computer program product and device using same
CN108205564B (en) Knowledge system construction method and system
Bardi et al. Aggregative data infrastructures for the cultural heritage
Parreira et al. The role of rdf stream processing in an smart city ict infrastructure-the aspern smart city use case
CN107301239A (en) A kind of database converter and conversion method
JP2006331390A (en) Model construction and solution implementation method for conducting optimal campaign for large-scale one-to-one marketing
CN112597121A (en) Logic script processing method and device, electronic equipment and storage medium
Wang et al. OpenGeo: an open geometric knowledge base

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20141217

Termination date: 20150823

EXPY Termination of patent right or utility model