CN103714050B - Resource modeling framework for manufacturing multi-layer cloud with multi-granularity characteristic - Google Patents
Resource modeling framework for manufacturing multi-layer cloud with multi-granularity characteristic Download PDFInfo
- Publication number
- CN103714050B CN103714050B CN201310689629.7A CN201310689629A CN103714050B CN 103714050 B CN103714050 B CN 103714050B CN 201310689629 A CN201310689629 A CN 201310689629A CN 103714050 B CN103714050 B CN 103714050B
- Authority
- CN
- China
- Prior art keywords
- resource
- information
- function
- functional
- layer
- 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.)
- Expired - Fee Related
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a resource modeling framework for manufacturing multi-layer cloud with multi-granularity characteristic, provides uniform description specification for heterogeneous manufacturing resources in cloud manufacturing environment, realizes global shared resources and improves utilization rate of resources. The resource modeling framework is divided into three layers comprising a resource model layer, a function model layer and a semantic meta model layer in sequence from bottom to top, wherein the resource model layer is associated with the function model layer through a many-to-many mapping relation, so that the resources are coupled together with corresponding function characteristics loosely, thus flexibility of the modeling framework is improved; and the function model layer is associated with the semantic meta model layer through a conversion relation, so that the resource description has accurate semantic.
Description
Technical field
The present invention relates in a kind of manufacturing environment in cloud for resource semantic description realize there are the many of many particle properties
Stratus manufacturing recourses modeling framework, belongs to manufacturing recourses description technique field.
Background technology
Resource description is the basis of resource discovering and resource selection, and the adequacy of resource description and accuracy determine resource
The height of utilization rate, therefore resource description are that cloud manufactures one of key issue.Resource description specification depends on effective resource to build
Mold framework, currently main Resource Modeling Frame Design technology includes measured Resource Modeling Frame Design, is based on body
Resource Modeling Frame Design.
Measured Resource Modeling frame design method mainly adopts the related series of standards of web service, for example：
Application WSDL is described to web services, by UDDI, service is registered, based on keyword method, service is looked into
Look for.But it is semantic that this resource description mode lacks machine understandable resource, and resource discovering is not comprehensive, inaccurate, lead to resource
Utilization rate is relatively low.
Resource Modeling frame design method based on body improves measured Resource Modeling framework from many aspects
The deficiency of method for designing.For example：OWL-S provides the semantic information of resource description, for automating resource discovering and combining offer
Basis.WSMO use state machine is modeled to resource behavior, realizes between the description of resource internal capacity and combination of resources
Ability layout.
Existing Resource Modeling framework cannot directly apply in the description to cloud manufacturing recourses, because cloud manufacturing recourses tool
There are the characteristics such as quantity is many, species is many, isomery, dynamic, many granularities.For the adequacy of resource information, measured resource
Modeling framework lacks the description to cloud manufacturing recourses many granularities functional characteristic and QoS information specific to cloud manufacturing recourses.From
For the semantic accuracy of resource, be provide only to the input of resource function characteristic, output letter based on the Resource Modeling framework of body
The semantic tagger of breath, lacks the semantic description the information that interoperates between resource context information and resource.Therefore, base of the present invention
In not enough above, design a kind of multi layer cloud manufacturing recourses modeling framework with many particle properties.
Content of the invention
Goal of the invention：The present invention provides a kind of multi layer cloud manufacturing recourses modeling framework with many particle properties, is cloud system
Make resource description to submit necessary information and accurately semanteme.The many granularities representing cloud manufacturing recourses from different abstraction hierarchies are special
Property, multilayer Resource Modeling framework is adapted to the abstraction hierarchy of the dynamic characteristic of resource requirement and difference in functionality in cloud manufacturing environment
Expression, such that it is able to realize resource-sharing.
Technical scheme：A kind of multi layer cloud manufacturing recourses modeling framework with many particle properties, can be in cloud manufacturing environment
The middle each resource realizing distribution provides Resource Abstract and shares.This model framework is divided into three layers, is the resource mould of bottom respectively
Type layer, the functional mode layer in middle level is with high-rise based on semantic meta-model layer.The bottom describes various physical resources, and it is cloud
The basis manufacturing, is made up of the heterogeneous resource being had in the enterprise of location distribution；Intermediate layer describes what resource had
Various functions, provide unified resource function view for cloud manufacturing platform；The top concept defining resource correlation and resource
Between relation, applying for resource provides sufficient semantic information, promotes the Semantic Interoperation between collaborative enterprise.
The multi layer cloud manufacturing recourses modeling framework with many particle properties includes following relation：
Multi-to-multi mapping relations, correlated resources model layer and functional mode layer, by will be corresponding for cloud manufacturing recourses
Functional character decouples, and improves the flexibility of Resource Modeling, resource can dynamically add or exit cloud manufacture system, meet cloud
The dynamic characteristic of manufacture system, a resource has multiple functional characteristics, and One function characteristic can be by different resources
There is provided, multi-to-multi mapping relations reflect the multi-functional, multitask of resource, the characteristic of many purposes；
Semantic conversion relation, correlation function model layer with based on semantic meta-model layer, by meta-model layer define general
Read the resource information being isomery from relation and carry out semantic tagger it is ensured that heterogeneous resource can be by just in different context environmentals
True explanation is it is ensured that the semantic consistency of resource.
Further, resource model layer, receives the heterogeneous resource information of distributed enterprise registration, according to the original money of enterprise
Source Description mode designs the corresponding XML-schema of resource information, the resource information of isomery is converted to corresponding XML document so that
The resource information Homogeneous of isomery.
Further, functional mode layer, extracts resource function information, by similar resource from the corresponding XML document of resource
Function information merges, the result being merged according to function information, and the corresponding XML-schema of design function information sets up function information XML
Document views.
Further, meta-model layer, is extended to general body member, provides concept, relation, constraint, the axiom to be
Resource correlation semanteme is labeled；In terms of four define cloud manufacturing recourses semantic information, resource non-functional Feature Semantics information,
There is the resource function Feature Semantics information of many particle properties, cloud manufactures context environmental semantic information and supports cloud manufacturing service
The semantic information of level protocol mechanism.
Further, many-to-many relationship：For each of resource model layer registration resource, sequential search function information
View, functional characteristic corresponding for resource is linked, if there is not functional characteristic corresponding with registration resource, in work(
New functional character item can be created in information view, resource be linked with new feature item, resource is linked with functional character
Relation record is in resource function mapping table；For each of function view functional characteristic, search in resource registering table
All resources of this functional characteristic are provided, by it with corresponding resource link together, and related information be recorded functional characteristic
In mapping table；If there is not the resource providing this functional characteristic in resource registering table, delete this functional character item.
Further, semantic conversion relation：Concept according to defined in semantic meta-model, relates to in resource and functional characteristic
And vocabulary of equal value be labeled；Relation according to defined in semantic meta-model, to the pass and functional characteristic between resource
System is labeled；Constraint according to defined in semantic meta-model, is carried out with the constraints meeting needed for functional characteristic to resource
Description；Axiom according to defined in semantic meta-model, is labeled to the logical relation and functional characteristic between resource, carries
For machine understandable inferencing information.
Beneficial effect：The invention provides the describing mode of cloud manufacturing recourses many granularities functional characteristic, there is provided cloud manufacture
The required QoS information of resource application, manufactures context environmental to cloud and is modeled, there is provided support service-level agreement mechanism
Description information.The present invention embodies the characteristic of cloud manufacturing recourses, and model framework ensure that the information exchange of the isomery enterprise of cooperation
Property, there is provided manufacturing recourses and the manufacture corresponding dynamic relationship of function, it is ensured that the flexibility of cloud manufacture, are effectively made to distribution
Make resource to be managed.
Brief description
Fig. 1 is semantic meta-model conceptual framework figure；
Fig. 2 is many granularities functional characteristic description figure；
Fig. 3 describes exemplary plot for many spindle Lathe functional characteristic；
Fig. 4 is that the cloud based on historical experience manufactures context-descriptive exemplary plot；
Fig. 5 is the multi layer cloud manufacturing recourses modeling framework figure with many particle properties.
Specific embodiment
With reference to specific embodiment, it is further elucidated with the present invention it should be understood that these embodiments are merely to illustrate the present invention
Rather than restriction the scope of the present invention, after having read the present invention, the various equivalences to the present invention for the those skilled in the art
The modification of form all falls within the application claims limited range.
There is the multi layer cloud manufacturing recourses modeling framework of many particle properties（As shown in Figure 5）, it is divided into three layers, be bottom respectively
The resource model layer of layer, the functional mode layer in middle level is with high-rise based on semantic meta-model layer（As shown in Figure 1）.The bottom is retouched
State various physical resources, it is the basis that cloud manufactures, and is made up of the heterogeneous resource being had in the enterprise of location distribution；In
Interbed describes the various functions that resource has, and provides unified resource function view for cloud manufacturing platform；Top definition money
Relation between the related concept in source and resource, applying for resource provides sufficient semantic information, promotes between collaborative enterprise
Semantic Interoperation.
The multi layer cloud manufacturing recourses modeling framework with many particle properties includes following relation：
Multi-to-multi mapping relations, correlated resources model layer and functional mode layer, by will be corresponding for cloud manufacturing recourses
Functional character decouples, and improves the flexibility of Resource Modeling, resource can dynamically add or exit cloud manufacture system, meet cloud
The dynamic characteristic of manufacture system, a resource has multiple functional characteristics, and One function characteristic can be by different resources
There is provided, multi-to-multi mapping relations reflect the multi-functional, multitask of resource, the characteristic of many purposes；
Semantic conversion relation, correlation function model layer with based on semantic meta-model layer, by meta-model layer define general
Read the resource information being isomery from relation and carry out semantic tagger it is ensured that heterogeneous resource can be by just in different context environmentals
True explanation is it is ensured that the semantic consistency of resource.
Resource model layer, receives the heterogeneous resource information of distributed enterprise registration, according to original resource description side of enterprise
Formula designs the corresponding XML-schema of resource information, the resource information of isomery is converted to corresponding XML document so that the money of isomery
Source information Homogeneous.
Functional mode layer, extracts resource function information from the corresponding XML document of resource, similar resource function information is closed
And, the result being merged according to function information, the corresponding XML-schema of design function information, set up function information XML document view.
Meta-model layer, is extended to general body member, provides concept, relation, constraint, axiom to be resource correlative
Justice is labeled；Define cloud manufacturing recourses semantic information, resource non-functional Feature Semantics information in terms of four, there are many granularities
The resource function Feature Semantics information of characteristic（As shown in Figure 2）, cloud manufacture context environmental semantic information and support cloud manufacture clothes
The semantic information of business level protocol mechanism.
Many-to-many relationship：For each of resource model layer registration resource, sequential search function information view, will provide
The corresponding functional characteristic in source is linked, if there is not functional characteristic corresponding with registration resource, regards in function information
In figure creates new functional character item, and resource is linked with new feature item, by resource and functional character linking relationship record
To in resource function mapping table；For each of function view functional characteristic, searching in resource registering table provides this work(
Can characteristic all resources, and related information be recorded in functional characteristic mapping table by it with corresponding resource link together；
If there is not the resource providing this functional characteristic in resource registering table, delete this functional character item.
Semantic conversion relation：Concept according to defined in semantic meta-model, to the equivalence being related in resource and functional characteristic
Vocabulary is labeled；Relation according to defined in semantic meta-model, enters rower to the relation and functional characteristic between resource
Note；Constraint according to defined in semantic meta-model, is described with the constraints meeting needed for functional characteristic to resource；According to
Axiom defined in semantic meta-model, is labeled to the logical relation and functional characteristic between resource, provides the machine can
The inferencing information understanding.
1. more than spindle Lathe functional characteristic describes example
As shown in figure 3, many spindle Lathe with smart car functional characteristic describe example.Based on many particle properties multilayer resource
Modeling framework, the functional characteristic of many spindle Lathe can be extended to the many granularities work(in three different levels according to inclusion relation
Energy characteristic, such as：Punching, car, smart car.The description granularity of these three functional hierarchies corresponds to three different grains by thick to thin respectively
Degree level, alliance's layer, enterprises level, resource layer.By the extension of the functional characteristic of many granularities, many spindle Lathe can at three not
It is found on same granularity level and uses, improve resource utilization.
2. the cloud based on historical experience manufactures context-descriptive example
As shown in figure 4, the cloud based on historical experience manufactures context-descriptive example.One has the many of smart car functional characteristic
Spindle Lathe, its resource provider is NEV.Company@ChengDu, according to the historical experience of resource application, Resource consumers
ISS.Company@Anchorage once sent resource request, had machined type function, and executable car operates, can people
Power resource assists, and resource location is 3 hours in Shanghai, completion date, based on above demand, can find that this is many according to historical experience
Spindle Lathe is chosen to provide service, and the physical record of its service assists for prosthetic, and completion in 2 hours, according to this clothes
The situation of business, Resource consumers can be graded to resource, characterizes the degree of support for such demand for the resource, if cloud platform
When receiving similar resource requirement, can be by the history ratings feedback of this resource to demander, demander directly determines according to grading
Whether select this resource to be serviced, increased resource utilization and resource discovery efficiency.
Claims (2)
1. a kind of multi layer cloud manufacturing recourses modeling framework with many particle properties it is characterised in that：Resource mould including bottom
Type layer, the functional mode layer in middle level, and high level based on semantic meta-model layer；Resource model layer describes various physics moneys
Source, is made up of the heterogeneous resource that the enterprise in location distribution is had；It is various that functional mode layer describes that resource has
Function, provides unified resource function view for cloud manufacturing platform；Meta-model layer define the related concept of resource and resource it
Between relation；
The multi layer cloud manufacturing recourses modeling framework with many particle properties includes multi-to-multi mapping relations and semantic conversion relation：
Multi-to-multi mapping relations, correlated resources model layer and functional mode layer, by by function corresponding for cloud manufacturing recourses
Feature decouples, and improves the flexibility of Resource Modeling, resource dynamically adds or exits cloud manufacture system, meets cloud manufacture system
Dynamic characteristic, a resource has multiple functional characteristics, and One function characteristic is provided by different resources, and multi-to-multi reflects
The relation of penetrating reflects the multi-functional, multitask of resource, the characteristic of many purposes；
Semantic conversion relation, correlation function model layer with based on semantic meta-model layer, the concept being defined by meta-model layer with
Relation is that the resource information of isomery carries out semantic tagger；
Resource model layer receives the heterogeneous resource information of distributed enterprise registration, is designed according to enterprise's original resource description mode
The corresponding XML-schema of resource information, the resource information of isomery is converted to corresponding XML document so that the resource information of isomery
Homogeneous；
Functional mode layer extracts resource function information from the corresponding XML document of resource, similar resource function information is merged, root
The result merging according to function information, the corresponding XML-schema of design function information, set up function information XML document view；
Meta-model layer is extended to general body member, provides concept, relation, constraint, axiom to be that resource correlation semanteme enters
Rower is noted；Semantic information, the resource non-functional feature language of cloud manufacturing recourses is defined in terms of concept, relation, constraint, axiom four
Adopted information, the resource function Feature Semantics information with many particle properties, cloud manufacture context environmental semantic information and support cloud
The semantic information of manufacturing service level protocol mechanism；
Multi-to-multi mapping relations, for each of resource model layer registration resource, sequential search resource function view, will provide
The corresponding functional characteristic in source is linked, if there is not functional characteristic corresponding with registration resource, regards in resource function
In figure creates new functional character item, and resource is linked with new feature item, by resource and functional character linking relationship record
To in resource function mapping table；For each of resource function view functional characteristic, search in resource function mapping table
All resources of this functional characteristic are provided, by it with corresponding resource link together, and related information be recorded resource function
In mapping table；If there is not the resource providing this functional characteristic in resource function mapping table, delete this functional character item.
2. there is the multi layer cloud manufacturing recourses modeling framework of many particle properties as claimed in claim 1 it is characterised in that semanteme
Concept according to defined in semantic meta-model for the transformational relation, is labeled to the vocabulary of equal value being related in resource and functional characteristic；
Relation according to defined in semantic meta-model, is labeled to the relation and functional characteristic between resource；According to semantic unit
Constraint defined in model, is described with the constraints meeting needed for functional characteristic to resource；According in semantic meta-model
The axiom of definition, is labeled to the logical relation and functional characteristic between resource, provides machine understandable reasoning letter
Breath.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310689629.7A CN103714050B (en) | 2013-12-13 | 2013-12-13 | Resource modeling framework for manufacturing multi-layer cloud with multi-granularity characteristic |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310689629.7A CN103714050B (en) | 2013-12-13 | 2013-12-13 | Resource modeling framework for manufacturing multi-layer cloud with multi-granularity characteristic |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103714050A CN103714050A (en) | 2014-04-09 |
| CN103714050B true CN103714050B (en) | 2017-02-15 |
Family
ID=50407042
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310689629.7A Expired - Fee Related CN103714050B (en) | 2013-12-13 | 2013-12-13 | Resource modeling framework for manufacturing multi-layer cloud with multi-granularity characteristic |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103714050B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104615671A (en) * | 2015-01-16 | 2015-05-13 | 北京仿真中心 | Ontology-based manufacturing capacity multi-granularity description framework and method |
| US10079730B2 (en) | 2015-09-30 | 2018-09-18 | Amazon Technologies, Inc. | Network based resource configuration discovery service |
| US9979596B2 (en) | 2016-06-22 | 2018-05-22 | Amazon Technologies, Inc. | Configuration discovery service data visualization |
| US10742498B2 (en) | 2016-06-22 | 2020-08-11 | Amazon Technologies, Inc. | Application migration system |
| US10212031B2 (en) | 2016-06-22 | 2019-02-19 | Amazon Technologies, Inc. | Intelligent configuration discovery techniques |
| US9983823B1 (en) | 2016-12-09 | 2018-05-29 | Amazon Technologies, Inc. | Pre-forking replicas for efficient scaling of a distribued data storage system |
| US11228490B1 (en) | 2016-12-20 | 2022-01-18 | Amazon Technologies, Inc. | Storage management for configuration discovery data |
| CN115936420B (en) * | 2023-03-14 | 2023-06-27 | 深圳普菲特信息科技股份有限公司 | Equipment process flow control method, system and medium based on business flow construction |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102176723A (en) * | 2011-03-25 | 2011-09-07 | 北京航空航天大学 | Manufacturing cloud system for supporting on-demand use and dynamic collaboration of manufacturing resources and manufacturing capacities |
-
2013
- 2013-12-13 CN CN201310689629.7A patent/CN103714050B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102176723A (en) * | 2011-03-25 | 2011-09-07 | 北京航空航天大学 | Manufacturing cloud system for supporting on-demand use and dynamic collaboration of manufacturing resources and manufacturing capacities |
Non-Patent Citations (4)
| Title |
|---|
| A multilevel modeling framework for semantic representation of cloud manufacturing resources;Ning Liu等;《Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on》;20160629;摘要、第401页左栏第15行-第405页左栏第20行，图1-7 * |
| A resource & capability virtualization method for cloud manufacturing systems;Ning Liu等;《Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on》;20111012;第1003-1008页 * |
| 云制造环境下基于工作流的多粒度资源组合方法;李海波;《计算机集成制造系统》;20130131;第19卷(第1期);第210-215页 * |
| 多粒度制造资源统一模型及其语义服务发现;谭伟 等;《中国科技论文》;20131031;第8卷(第10期);第1044-1048页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103714050A (en) | 2014-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103714050B (en) | Resource modeling framework for manufacturing multi-layer cloud with multi-granularity characteristic | |
| Wan et al. | IoT sensing framework with inter-cloud computing capability in vehicular networking | |
| Peraković et al. | Challenges and Issues of ICT in Industry 4.0 | |
| CN101873334B (en) | State-driven executable service flow execution method | |
| CN101174210A (en) | Method and system for managing the lifecycle of a service oriented architecture | |
| CN102054224A (en) | SOA (Service Oriented Architecture)-based clothes enterprise collaborative management system development method and system | |
| Li et al. | Product data model for PLM system | |
| CN102034173A (en) | Service-oriented architecture (SOA) mold information collaborative management system developing method and system | |
| Kapuruge et al. | ROAD4WS--Extending Apache Axis2 for Adaptive Service Compositions | |
| CN102571400A (en) | Method, system and device for updating communication network resource model | |
| Zou et al. | A new service-oriented grid-based method for AIoT application and implementation | |
| CN102087595A (en) | Method and system for developing patent agency collaborative management system based on SOA (service oriented architecture) | |
| CN102594851A (en) | Method for dynamically building marine application service chain | |
| Zheng et al. | An RBF neural network–based dynamic virtual network embedding algorithm | |
| CN103064688A (en) | Workflow universal service method and system | |
| CN102929628A (en) | Service framework supporting multi-internet service center construction and operation | |
| CN103297538A (en) | Aggregation method for resource environmental models | |
| CN103973799A (en) | Resource and environment data decision support platform | |
| CN102136097A (en) | Service oriented architecture (SOA)-based clothing enterprise collaborative management system development method and system | |
| CN102929605A (en) | Cloud-computing-based open interface of data mining system | |
| Simnani et al. | Architectural standards for internet of things: standardising IoT architecture | |
| CN101882076A (en) | Manufacturing grid resource encapsulation method based on control | |
| Cox et al. | Architecturally significant interfaces for the smart grid | |
| Gong et al. | A context-aware computing mediated dynamic service composition and reconfiguration for ubiquitous environment | |
| Ismaili et al. | Web services research challenges, limitations and opportunities |
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: 20170215 Termination date: 20201213 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |