CN104462244B - A kind of smart city isomeric data sharing method based on meta-model - Google Patents

A kind of smart city isomeric data sharing method based on meta-model Download PDF

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CN104462244B
CN104462244B CN201410664605.0A CN201410664605A CN104462244B CN 104462244 B CN104462244 B CN 104462244B CN 201410664605 A CN201410664605 A CN 201410664605A CN 104462244 B CN104462244 B CN 104462244B
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陈能成
李佳
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Wuhan University WHU
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Abstract

The invention discloses a kind of smart city isomeric data sharing method based on meta-model, including 1:It is theoretical based on MOF Meta Models, build Urban Data meta-model modeling framework;2:According to Urban Data feature and description demand, Urban Data meta-model general element collection is built;3:According to Urban Data basic classification and special element set mode of extension, the special element set of development dataset meta-model;4:Based on the modeling of XML templates, meta-model general element collection and special element set formalization method are formed;5:Network directory service, data, services are realized, open Urban Data meta-model registration and management platform is set up;6:According to user's practical application request, design city data fine granularity finds interface and obtains data.The present invention has provided the user a kind of shared solution of open, standard urban isomeric data, and support is provided for city isomeric data online access, subsequent treatment and synergistic application, is the reliable method of the shared middle highly effective of city isomeric data.

Description

A kind of smart city isomeric data sharing method based on meta-model
Technical field
The invention belongs to smart city information sharing and bridging technology field, it is related to what a kind of city isomeric data was shared Method, more particularly to a kind of smart city isomeric data sharing method based on meta-model.
Background technology
With continuing to develop for city, the urban issues such as population expansion, traffic jam, environmental pollution, energy shortage is continuous Increase, smart city concept is arisen at the historic moment.Smart city is the urban development theory according to science, utilizes generation information skill Art, on the basis of ubiquitous information complete perception and interconnection, realizes and is seamlessly connected between people, thing, city function system with cooperateing with The intelligence of linkage is from perception, adaptive, self-optimizing, so that many to the people's livelihood, environmental protection, public safety, city function, commercial activity etc. Kind of city demand makes intelligent response, formed the inner system dynamics that possess sustainable development safely, conveniently, efficiently, green Urban morphology.
At this stage, with the fast development that China smart city is built, Urban Data holds amount and type and explosion type increasing is presented Long, data source is rich and varied, isomeric data characteristic remarkable, especially substantial amounts of stream medium data(As traffic video, security are supervised The data such as control) and real-time dynamic city real-time observed data(Such as meteorological, environmental protection, positioning sensing data)Emerge in large numbers, effectively These data of management and use turn into a major challenge.Simultaneously as China's city operations and management informationization be one progressively Perfect process, for different application fields in the scattered system implemented of different times, due in running environment, data base set System, method of service, information coding rule, operation flow perform different standards in terms of defining, system can not be interconnected, believed Breath can not be shared extensively.When in face of specific city is cross-cutting, many data synergistic applications when, Urban Data resource show it is not only many but also Few situation:The running status that city possesses the archive data existed in a variety of ways of the big scale of construction and continually produced is real When data, because data source is different, data format is different, data content description is fuzzy, the quality of data is uneven, data are obtained The reason that takes mode difference huge etc., is caused when for specific cross-cutting, many data synergistic applications, data can not be sufficient Understand, widely obtain and effective utilization.
Therefore, in face of such magnanimity, isomery, scattered Urban Data, how to unify huge and complicated isomeric data, The integrated management for comprehensively describing and being opened promotees there is provided user is accurate, convenient, effective data are found and obtains interface Make the extensive Share and interoperability of Urban Data, key problem urgently to be resolved hurrily is built as smart city at this stage.
At the shared aspect of internet data, traditional data sharing technology mainly includes semantic tagger and Web API technologies, The standard of semantic tagger technology mainly includes Microformat, RDFa, Microdata etc., but semantic tagger technology has and made With the shortcoming that scope is narrower, descriptive power is limited, Web API technologies are that current data sharing application uses most forms, are lacked Point is that open interface is inconsistent, and the data of return do not have relevance, thus can not realize the interconnection between data.In addition, Tim Berners-Lee proposed internet data first in 2006(Linked Data)Concept, it is one of theme of semantic net, The method for describing by linkable URI modes to issue, share, connect all kinds of resources in Web.Internet data(Linked Data)The realization of the data describing framework in semantic net, it be it is a kind of by issue structural data make data interconnection and then Improve the framework of data application value.Its description to data is fairly simple, technical sophistication, difficult in maintenance.Fan et al. is proposed A kind of thought --- IOD for extending Internet of Things(Internet of Data)Data are analogized to the entity in Internet of Things, utilized Data label carries out data correlation, is a kind of new thinking for realizing data sharing.But its major limitation is used for multi-medium data And there are problems that content distortion, algorithm.
At the shared aspect of geographic information services, OGC(Open Geographic Information System association)Propose Web Map Services (WMS), Web Feature Services(WFS), Web geography covering services(WCS), slice map Web service(WMTS)Etc. geography information Service standard.WMS can return to corresponding map according to the request of user(Including PNG, GIF, the grid such as JPEG, or It is SVG and WEB CGM isovector forms);WFS supports the insertion to geographic element, updates, and deletes, retrieval and discovery service; WCS provides the space lattice figure layer for containing geographical location information or attribute, rather than static map access.WMTS pairs Slice of data access stencil is answered, such as realizes that world figure stepless zooming operation is accomplished by calling WMTS to service.Microsoft provides Internet Information Services(IIS, Internet Information Service), sent out by setting up the form of website There is provided to local static data, such as multi-medium data, such as video, picture, the quick access of text for cloth local resource.These nets Network service be it is single presence or certain it is several exist together, one or several kinds of data modes can only be confined in the access, Lack for the unified discovery of diversiform data, access.
At the shared aspect of real-time observed data, Open Geospatial Consortium in 2006(OGC)SOS is issued(Sensor is seen Survey service)1.0 versions, Open Geospatial Consortium in 2012 has issued the versions of SOS 2.0.SOS is noted there is provided management of sensor The API of volume and discovery sensor data, is serviced by this, and client can obtain one or more with SOS standard interface The observation data of sensor.Sensor observation service is suitable for the data of hourly observation attribute-observation form, does not support other Data type.
, there is problems with towards city isomeric data sharing method at present in comprehensive analysis:
1)Existing to lack Top-layer Design Method and the many-side detailed description to diversiform data, various data easily form information Isolated island, various data sources can not be fully understanded, found;
2)Lack a kind of cross-platform, general data and find and obtain interface, it is impossible to meet user to data fine granularity essence Really find, various data can not be utilized by abundant, effective;
3)It can not realize and interconnect between the unified informationization integration management platform of shortage, each data message system, Corporate action ability can not be formed.
The content of the invention
In order to solve the above-mentioned technical problem, the present invention proposes a kind of smart city isomeric data based on meta-model and shared Method.
The technical solution adopted in the present invention is:A kind of smart city isomeric data sharing method based on meta-model, its It is characterised by, comprises the following steps:
Step 1:Based on MOF(meta object facility)Meta Model is theoretical, builds the modeling of Urban Data meta-model Framework;
Step 2:According to Urban Data feature and description demand, Urban Data meta-model general element collection is built;
Step 3:According to Urban Data basic classification and special element set mode of extension, the special element of development dataset meta-model Collection;
Step 4:Based on the modeling of XML templates, meta-model general element collection and special element set formalization method are formed;
Step 5:Network directory service, data, services are realized, open Urban Data meta-model registration is set up and management is flat Platform;
Step 6:According to user's practical application request, design city data fine granularity finds interface and obtains data.
Preferably, described step 1 is implemented including following sub-step:
Step 1.1:It is theoretical based on MOF Meta Models, actual features are modeled according to Urban Data, using conclusion, abstract method, Four layer data meta-model modeling frameworks of the unified abstract syntax of structure and standard;
Step 1.2:Demand and data substantive characteristics are shared according to Urban Data under the background of smart city, information description is built " label ", " content ", " quality ", " distribution " and " reference " five big element module class in meta-model.
Preferably, described step 2 is implemented including following sub-step:
Step 2.1:According to data characteristics and description demand, on the basis of five big element module classes, develop DMM_ identifacation、DMM_producteTag、DMM_distrubutionFormat、DMM_dataQuality、DMM_ transferType、DMM_distrubutorContact、DMM_spatialDimension、DMM_ The big meta-model component of temporalDimension, DMM_ contentType, DMM_metaReference ten;
Step 2.2:Associated metadata elements in reference or the existing geographic information standard of extension, in ten big meta-model structures Development dataset meta-model general element set on the basis of part.
Preferably, described step 3 is implemented including following sub-step:
Step 3.1:Classified according to available data, it is considered to Urban Data characteristic, build data under smart city and classify, specifically Including vector, image, landform, threedimensional model, in real time thematic attribute, monitoring, Streaming Media, the big type city number of document data eight According to;
Step 3.2:The special element set mode of extension of meta-model is provided, all types of data characteristics are investigated, with " five yuan of meta-model Group " framework is core, with " ten big meta-model components " for border, data meta-model is built on the basis of general element collection special Element set, forms the eight big special element sets of type data meta-model.
Preferably, described step 4 is implemented including following sub-step:
Step 4.1:Based on Meta model framework and each element collection, uml class figure is set up, using XML coding techniques, is designed general Element set and special element set formalization template;
Step 4.2:Corresponding type element model form template is loaded, according to specific data set each side feature, is passed through Wizard-like modeling format flow piecemeal, data meta-model example is set up by different level.
Preferably, described step 5 is implemented including following sub-step:
Step 5.1:Network directory service, data, services are realized, the meta-model example of completion is registered and number is issued According to service;
Step 5.2:To registered meta-model instance management, increased, deleted, being changed, updating operation.
Preferably, described step 6 is implemented including following sub-step:
Step 6.1:According to user's practical application request, design includes " data label ", " data content ", " data matter Amount ", " data distribution ", the combination fine granularity of " data reference " five broad aspect different levels find interface;
Step 6.2:The data meta-model provided is returned to retrieval to parse, and is obtained data each side information, is passed through number Data needed for being obtained according to service.
The present invention has the advantages that:
(1)The unified comprehensive description of city isomeric data is realized, is easy to network share.By being built to multi-source heterogeneous Urban Data Mould, reflects Data Identification, content, quality, distribution, the information with reference in terms of comprehensively, and the public attribute of data is carried out entirely Express and Unify legislation in face;Special element set mode of extension is devised, the table to the otherness information of numerous types of data is supported Reach.Realize to isomery, magnanimity Urban Data various aspects Unified Expression, while meeting diversified sign demand;
(2)City isomeric data fine granularity discovery is realized, data service efficiency is improved.It is many based on data meta-model multi-angle Level is retrieved, and is resulted in the data available set for meeting specific demand data, is realized data set and efficiently accurately find.Logarithm According to trace to the source, assess, analyze and using there is great contribution.
Brief description of the drawings
Fig. 1:It is the flow chart of the present invention.
Fig. 2:It is the modeling frame of the Urban Data meta-model based on MOF Meta Models of step 1.1 foundation in the embodiment of the present invention Frame.
Fig. 3:It is the data meta-model general framework of step 1.2 foundation in the embodiment of the present invention.
Fig. 4:It is the Urban Data classification of step 3.1 foundation in the embodiment of the present invention.
Fig. 5:It is the special element set mode of extension of data meta-model of step 3.2 foundation in the embodiment of the present invention.
Fig. 6:It is the data meta-model uml diagram of step 4.1 foundation in the embodiment of the present invention.
Fig. 7:It is the data meta-model example of step 4.2 foundation in the embodiment of the present invention.
Embodiment
Understand for the ease of those of ordinary skill in the art and implement the present invention, below in conjunction with the accompanying drawings and embodiment is to this hair It is bright to be described in further detail, it will be appreciated that implementation example described herein is merely to illustrate and explain the present invention, not For limiting the present invention.
Under the background of smart city, the present invention more fully supports the description to all city isomeric datas, is that user carries Supplied a kind of city isomeric data shared and interoperability by way of being city isomeric data online access, subsequent treatment and collaboration Using there is provided support, be city isomeric data it is shared in efficient practical reliable method.
See Fig. 1, the present embodiment is directed to the city that fuel gas pipeline leakage blast emergency response disposal is related in smart city Data set up shared mechanism, embodiment to implement flow as follows:
Step 1:It is theoretical based on MOF Meta Models, build Urban Data meta-model modeling framework.
Step 1.1:Based on MOF(meta object facility)Meta Model is theoretical, abstract, conclusion city isomeric data Basic conception, basic object, set up the metamodel metadata layer, meta-model layer, model layer of city isomeric data Meta Model from top to bottom And the modeling framework of instance layer(Such as Fig. 2).
Step 1.2:Shared demand is called etc. according to Urban Data integrated management under the background of smart city, collaboration, number is analyzed According to substantive characteristics, emphasis, which is built, includes " label(Tag)", " content(Content)", " quality(Quality)", " distribution (Distribution)" and " reference(Reference)" etc. five big element module classes information descriptor metamodel.This five big first mould Block class covers the various aspects that data sharing is related to substantially, disclosure satisfy that smart city management is such as comprehensive by subsequently inheriting, extending Close the demand to data sharing such as emergency response disposal.
Step 2:According to Urban Data feature and description demand, Urban Data meta-model general element collection is built.
Step 2.1:According to data characteristics and description demand, on the basis of five big element module classes, develop basic identification (DMM_identifacation), production mark(DMM_producteTag), content type(DMM_contentType), space Dimension(DMM_spatialDimension), time dimension(DMM_temporalDimension), the quality of data(DMM_ dataQuality), distribution formats(DMM_distrubutionFormat), distribution contact(DMM_ distrubutorContact), ways of distribution(DMM_transferType), reference information(DMM_metaReference)Deng Ten big meta-model components(Such as Fig. 3);
Step 2.2:Reference extends existing geographic information standard(Such as geographical spatial data set metadata content mark Standard, ISO geographic information metadatas standard, scientific library metadata standard, China sustainable development information sharing metadata mark Standard etc.)In associated metadata elements, the development dataset meta-model general element set on ten big meta-model member bases, it is included Metadata more common to the data type of different cities describes item, such as basic title, keyword, date;
Step 3:According to Urban Data basic classification and special element set mode of extension, the special element of development dataset meta-model Collection.
Step 3.1:Classified according to available data, it is considered to the characteristic of Urban Data, build smart city using lower data point Class, specifically includes vector, image, landform, threedimensional model, in real time thematic attribute, eight major classes such as monitoring, Streaming Media, document data Type Urban Data(Such as Fig. 4);
Step 3.2:The special element set mode of extension of meta-model is provided, Fig. 5 illustrates the special element set of data meta-model and expanded Exhibition pattern, using meta-model " five-tuple " framework as core, with " ten big meta-model components " for border, on the basis of general element collection The upper structure special element set of data meta-model, forms the eight big special element sets of type data meta-model.
Step 4:Based on the modeling of XML templates, meta-model general element collection and special element set formalization method are formed.
Step 4.1:Based on Meta model framework and each element collection, uml class figure is set up(Such as Fig. 6), skill is encoded using XML accordingly Art, design general element collection and the eight big special element set formalization templates of categorical data, are stored in the ATL of system, the mould Plate is easy to system loads template quickly, standardization to set up required data meta-model example;
Step 4.2:According to specific data type, the corresponding type element model form template of system loads, according to tool Volumetric data set each side feature, by wizard-like modeling format flow piecemeal, sets up data meta-model example by different level.For The concrete application of smart city fuel gas pipeline leakage blast emergency response disposal, can be pre-created extensive Urban Data element of set Model instance, such as urban underground gas Monitoring Pinpelines data, the special element set of selection " Real-time Monitoring Data " type loading correspondence Template, fills in the every terms of information of element set template, forms the meta-model example of gas pipeline Monitoring Data(If Fig. 7 is public transport line Road vector data meta-model), by that analogy, can set up each comprising city orthography, topographic map, threedimensional model, pipeline etc. The meta-model case library of type data.The model instance of these canonical forms not only have recorded the letter of data various aspects Breath, in addition to data acquiring mode.
Step 5:Network directory service, data, services are realized, open Urban Data meta-model registration is set up and management is flat Platform.
Step 5.1:The model instance of foundation is registered to the directory service center of system, distributed data member mould can be achieved Registration management in type example set.According to data type and specific externally acquisition modes, data acquisition service is set up.Such as real-time The data of monitoring set up sensor observation service(SOS);Can delivery network Feature Service WFS for vector data;For grid Data can delivery network covering service(WCS)Etc.;
Step 5.2:To registered city isomeric data meta-model example, integrated management can be carried out to it, system is provided Increase, delete, modification, update etc. operation, while also provide the association to data, services, update operation, alloing management, this is right The various Urban Datas being physically distributed carry out integrated management in logic.
Step 6:According to user's practical application request, design city data fine granularity finds interface and obtains data.
Step 6.1:According to user's practical application request, design includes " data label ", " data content ", " data matter The combination fine granularity of the five broad aspect different levels such as amount ", " data distribution ", " data reference " finds interface, and is shown in system Interactive interface, allows users to obtain preferable data for particular demands.As needed one in gas leakage response process of emergency system Determine spatial dimension, the different themes of time range, different types of data acquisition system, can find interface accurately to examine by data Rope;
Step 6.2:The data meta-model provided is returned to retrieval to parse, and obtains Data Identification, content, quality, lattice The multi-aspect informations such as formula, director, by comprising data, services can obtain data, such as pass through gas pipeline Monitoring Data member The sensor observation service of model record(SOS)The Monitoring Data of real-time and history can be obtained, passes through the vector of record Data, services mode can obtain corresponding vector data etc..
So far, that is, complete the city isomeric data based on meta-model in smart city and share overall process, be related to meta-model and carry Go out, model instance is set up, model instance is managed, model instance is found and data acquisition.The data meta-model of proposition this cover Data various aspects information, and Unified Formization expression is encoded by XML, realize comprehensive table to city heterogeneous data information Levy, Unified Expression, while based on network registry service, sensor observation service and other a variety of services isomeric data management With each field in smart city that is embodied as of shared platform efficient instrument is provided using the data integration, synergistic application being related to.Always It, is efficient practical reliable method during city isomeric data is shared.
It should be appreciated that the part that this specification is not elaborated belongs to prior art.
It should be appreciated that the above-mentioned description for preferred embodiment is more detailed, therefore it can not be considered to this The limitation of invention patent protection scope, one of ordinary skill in the art is not departing from power of the present invention under the enlightenment of the present invention Profit is required under protected ambit, can also be made replacement or be deformed, each fall within protection scope of the present invention, this hair It is bright scope is claimed to be determined by the appended claims.

Claims (3)

1. a kind of smart city isomeric data sharing method based on meta-model, it is characterised in that comprise the following steps:
Step 1:Based on MOF(meta object facility)Meta Model is theoretical, builds Urban Data meta-model modeling framework;
Implement including following sub-step:
Step 1.1:It is theoretical based on MOF Meta Models, actual features are modeled according to Urban Data, using conclusion, abstract method, built Unified abstract syntax and four layer data meta-model modeling frameworks of standard;
Step 1.2:Demand and data substantive characteristics are shared according to Urban Data under the background of smart city, the first mould of information description is built " label ", " content ", " quality ", " distribution " and " reference " five big element module class in type;
Step 2:According to Urban Data feature and description demand, Urban Data meta-model general element collection is built;
Implement including following sub-step:
Step 2.1:According to data characteristics and description demand, on the basis of five big element module classes, develop DMM_ identifacation、DMM_producteTag、DMM_distrubutionFormat、DMM_dataQuality、DMM_ transferType、DMM_distrubutorContact、DMM_spatialDimension、DMM_ The big meta-model component of temporalDimension, DMM_ contentType, DMM_metaReference ten;
Step 2.2:Associated metadata elements in reference or the existing geographic information standard of extension, in ten big meta-model component bases Development dataset meta-model general element set on plinth;
Step 3:According to Urban Data basic classification and special element set mode of extension, the special element set of development dataset meta-model;
Implement including following sub-step:
Step 3.1:Classified according to available data, it is considered to Urban Data characteristic, build data under smart city and classify, specifically include Vector, image, landform, threedimensional model, in real time thematic attribute, monitoring, Streaming Media, the big type Urban Data of document data eight;
Step 3.2:The special element set mode of extension of meta-model is provided, all types of data characteristics are investigated, with meta-model " five-tuple " Framework is core, with " ten big meta-model components " for border, and the special member of data meta-model is built on the basis of general element collection Element collection, forms the eight big special element sets of type data meta-model;
Step 4:Based on the modeling of XML templates, meta-model general element collection and special element set formalization method are formed;
Implement including following sub-step:
Step 4.1:Based on Meta model framework and each element collection, uml class figure is set up, using XML coding techniques, general element is designed Collection and special element set formalize template;
Step 4.2:Corresponding type element model form template is loaded, according to specific data set each side feature, passes through guide Formula modeling format flow piecemeal, data meta-model example is set up by different level;
Step 5:Network directory service, data, services are realized, open Urban Data meta-model registration and management platform is set up;
Step 6:According to user's practical application request, design city data fine granularity finds interface and obtains data.
2. the smart city isomeric data sharing method according to claim 1 based on meta-model, it is characterised in that:It is described Step 5 implement including following sub-step:
Step 5.1:Network directory service, data, services are realized, the meta-model example of completion is registered and data clothes are issued Business;
Step 5.2:To registered meta-model instance management, increased, deleted, being changed, updating operation.
3. the smart city isomeric data sharing method according to claim 1 based on meta-model, it is characterised in that:It is described Step 6 implement including following sub-step:
Step 6.1:According to user's practical application request, design includes " data label ", " data content ", " quality of data ", " number According to distribution ", the combination fine granularity of " data reference " five broad aspect different levels find interface;
Step 6.2:The data meta-model provided is returned to retrieval to parse, and is obtained data each side information, is taken by data Data needed for business is obtained.
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CN111404905B (en) * 2020-03-10 2022-04-08 南京三眼精灵信息技术有限公司 Cross-domain data security calculation and model cooperation method
CN113032353A (en) * 2020-12-30 2021-06-25 北京市农林科学院 Data sharing method, system, electronic device and medium
CN112527687A (en) * 2020-12-31 2021-03-19 武汉烽火富华电气有限责任公司 Intelligent city management system test case design method based on UML activity diagram
CN113344334A (en) * 2021-05-11 2021-09-03 武汉大学 City multi-scale comprehensive perception index system construction and query method based on ontology

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198137A (en) * 2013-04-15 2013-07-10 武汉大学 Access protocol transfer method and system for multi-source heterogeneous remote sensing data system
CN103235855A (en) * 2013-04-27 2013-08-07 武汉大学 Construction method of sensor network heterogeneous node element model
CN103279344A (en) * 2013-05-27 2013-09-04 武汉大学 Method and system for supporting isomeric sensor semantic registration

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003083610A2 (en) * 2002-03-25 2003-10-09 Myriagon Corporation Information management structure
US8949175B2 (en) * 2012-04-17 2015-02-03 Turn Inc. Meta-data driven data ingestion using MapReduce framework

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198137A (en) * 2013-04-15 2013-07-10 武汉大学 Access protocol transfer method and system for multi-source heterogeneous remote sensing data system
CN103235855A (en) * 2013-04-27 2013-08-07 武汉大学 Construction method of sensor network heterogeneous node element model
CN103279344A (en) * 2013-05-27 2013-09-04 武汉大学 Method and system for supporting isomeric sensor semantic registration

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
对地观测网传感器资源共享管理模型与方法研究;胡楚丽;《中国优秀博士学位论文全文数据库》;20130915;第A008-2页 *

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