Industry Ontologies Foundry: Industrial applications of ontologies

Transcription

1 Industry Ontologies Foundry: Industrial applications of ontologies Dimitris Kiritsis EPFL, ICT for Sustainable Manufacturing EPFL/STI/IGM/ICT for Sustainable Manufacturing 1

2 Some words about DK STI-IGM Prof. ICT for Sustainable Manufacturing EC AG LEIT-NMBP Individual Member IFIP WG5.7 Advanced Production Management Systems Chair Member (representing EPFL) EPFL/STI/IGM/ICT for Sustainable Manufacturing 2

3 Closing the information loops of product life cycles EPFL/STI/IGM/ICT for Sustainable Manufacturing 3

4 It s about big lifecycle data transformations in the Product Lifecycle loops K Products / Assets D, I Manufacturers Lifecycle Data-Information-Knowledge Transformations IoT, CPS,... D, I D, I D: Data I: Information K: Knowledge Service Providers EPFL/STI/IGM/ICT for Sustainable Manufacturing 4

5 The Meaning of Data o C Body temperature Oven temperature EPFL/STI/IGM/ICT for Sustainable Manufacturing 5

6 Characteristics of Data Source of data Measurement (sensors, assessment, observation, records, ) Value Transformation / Interpretation Visualisation Meaning / Context EPFL/STI/IGM/ICT for Sustainable Manufacturing 6

7 Smart Manufacturing challenges Domain modeling for Big Industrial Data Analytics Content analytics enriched with semantic meaning Recommend data and analytics based on information / decision need Improve the ability of analysts to rapidly find and process relevant information in support of decision making The issue of interoperability: o How do we get the domain modeling going on in different communities to coalesce? EPFL/STI/IGM/ICT for Sustainable Manufacturing 7

8 Ontology Based Lifecycle Engineering EPFL/STI/IGM/ICT for Sustainable Manufacturing 8

9 Material Entity Information Entity Ontologies Ontologies BFO: Planned Product Life Cycle (PLC) Part of Part of Part of Part of Part of Part of Design process Follows Production Plan Generation Production Possession, Storage Use Follows Follows Follows Follows End of Life Guides Has output Is input for Is input for Has output Maintenance Plan Generation Guides Part of Maintenance Is input for Requirements Specification Product Model (Drawing, ) Production Plan Has output Has output Maintenance Plan Guides Has output Maintenance Report Technical Documentation User Documentation Has output Is input for Is input for Has output Portion of Raw Material Product Portion of Waste Material Human being (Designer, Manager, Machinist, Maintenance Engineer, User, ) Factory (Machine, Bulding, ) Utility Supply System (Energy, Water,Data ) Bring together the Physical (Real) Cyber (Digital) Bio (Human/Cognitive) worlds EPFL/STI/IGM/ICT for Sustainable Manufacturing 9

10 Ontologies & Big Data Scattered data in several sources, systems and services Different actors with multidisciplinary skills Semantic modelling module Data Analytics module EPFL/STI/IGM/ICT for Sustainable Manufacturing 10

11 What algorithm to apply? Taking the LEAP: The Methods and Tools of the Linked Engineering and Manufacturing Platform (LEAP) EPFL/STI/IGM/ICT for Sustainable Manufacturing 11

12 (Manufacturing) Industry Ontologies Foundry (IOF) (Manufacturing) Industry Ontologies Foundry (IOF) EPFL/STI/IGM/ICT for Sustainable Manufacturing 12

13 IOF Archtecture EPFL/STI/IGM/ICT for Sustainable Manufacturing 13

14 14 Draft of a generic PLC (Product Life Cycle) Ontology based on BFO (Basic Formal Ontology) With acknowledgments and thanks to Barry Smith (NCOR, Buffalo) for his ontological engineering approach EPFL/STI/IGM/ICT for Sustainable Manufacturing 14

15 Following the BFO principles BFO: Continuant BFO: Occurrent Material Entity Attribute Information Entity occupies occupies Spatial Region Temporal Region For some processes we have also process boundaries (beginning of process, end of process) at determinate Temporal Intervals. For some processes beginnings or endings may be indeterminate EPFL/STI/IGM/ICT for Sustainable Manufacturing 15

16 Material Entity instance examples Material Entity Portion of Material Part/Component Switch Boiler Furnace Tank Factory Access road Delivery vehicle Information Entity EPFL/STI/IGM/ICT for Sustainable Manufacturing 16

17 Information Entity instance examples Material Entity Information Entity Product Model (output of CAD system) Requirement Specification Plan Production Plan Part/Component List Maintenance Plan Maintenance Report Maintenance History EPFL/STI/IGM/ICT for Sustainable Manufacturing 17

18 instance examples Material Entity Information Entity Design Production Production Plan Generation Product Use Product Maintenance Product Inspection End Of Life EPFL/STI/IGM/ICT for Sustainable Manufacturing 18

19 Material Entity Information Entity Following the time time EPFL/STI/IGM/ICT for Sustainable Manufacturing 19

20 Material Entity Information Entity PLC ontology: the complete schema BFO: Planned Product Life Cycle (PLC) Guides Design process Has output Follows Is input for Production Plan Generation Is input for Has output Part of Part of Part of Part of Part of Part of Maintenance Plan Generation Production Guides Possession, Storage Is input for Use Follows Follows Follows Follows Part of Maintenance End of Life Requirements Specification Technical Documentation Product Model (Drawing, ) Production Plan User Documentation Has output Has output Maintenance Plan Has output Guides Is input for Has output Maintenance Report Is input for Has output Portion of Raw Material Product Human being (Designer, Manager, Machinist, Maintenance Engineer, User, ) Factory (Machine, Bulding, ) Utility Supply System (Energy, Water, Data ) Portion of Waste Material EPFL/STI/IGM/ICT for Sustainable Manufacturing 20

21 FALCON Ontology isspecialization isspecialization isspecialization White Goods Brown Goods Healthcare Products Clothing Textiles High-tech Products An FALCON upper ontology is a generalization of the five business scenarios of the FALCON project serving as an upper template for all FALCON business cases as well as future business cases in terms of Product-Service System. The FALCON ontology plays the roles o o o To define the structure and contact of the Triple Store To be used to define semantic search parameters for social media To be used to query PUI 11/20/

22 to create ontology Domain of Interest Reference ontologies Adoption to Basic Formal Ontology 11/20/

23 FALCON Ontology- Product Service Entities hasproductsystem Product Service System (PSS) IT (Software element) PEID hassubclass hasproduct Product System hassubclass Part Product originatedfromproduct hassubclass Sub-assembly Service hassubclass OT (Operational element) haspeid haspeid o o o o Product Service System (PSS) : a marketable set of products and services capable of jointly fulfilling a user s need Product system : a set of material products needed to jointly fulfil a user s needs Product : a tangible commodity manufactured to be sold Service : an activity (work) done for others with an economic value and on a commercial basis 11/20/

24 FALCON Ontology-Alignment to BFO Continuant Occurrent Independent Continuant Generically Dependent Continuant Specifically Dependent Continuant Temporal Attribute Entity Basic Formal Ontology Formal ontology framework developed by Barry Smith and his associates (Smith at al., 2014). Entities in the FALCON semantic framework are arranged based on the Basic Formal Ontology (BFO) In BFO Two varieties Continuants comprehending continuant entities such as three-dimensional enduring objects Occurrent comprehending processes conceived as extended through (or as spanning) time Dependent Occurrent Red font : Entities from BFO Black font : Entities originated from FALCON context 11/20/

25 FALCON Ontology-Alignment to BFO Independent Continuant PSS System Product System Service System Product Product Compon ent Actor Entity Softwar e Entity Immaterial Entity Spatial Region Material Entity Resourc e Entity Continuant Occurrent Generically Dependent Continuant Specifically Dependent Continuant Temporal Attribute Entity Normal Beginning Of LifeCycle Information Content Entity PSS Feature Product Status Product Life Cycle Middle Of Lifecycle Abnormal End Of Lifecycle Temporal Instant Machine Movement Descriptive Information Content Entity PSS type Data Source Realizable Entity Need/Requirement Entity Service Dependent Occurrent Performance Improvement Benefit_Entity Eco Friendliness Cost Reduction Risk Reduction Red font : Entities from BFO Black font : Entities originated from FALCON context 11/20/

26 Predictive Manufacturing EPFL/STI/IGM/ICT for Sustainable Manufacturing 26

27 BOOST 4.0: Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0 EPFL/STI/IGM/ICT for Sustainable Manufacturing 27

28 Merci Thank You The SatisFactory project