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Towards Digital Twin standards following an open source approach
The document discusses the development and standardization of digital twin technology through an open-source approach, focusing on interoperability and integration across various sectors such as smart cities and smart manufacturing. It highlights the role of the FIWARE Foundation in establishing key standards, including the NGSI-LD API and the Smart Data Models initiative, aimed at creating common data models for multiple application domains. The document emphasizes the importance of these advancements for enabling effective data sharing and implementing solutions that are adaptable and future-proof.
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Overview of Digital Twin standards and an open-source approach by Juanjo Hierro, CTO of FIWARE Foundation.
Digital Twin represents real-world assets for integration in systems using standardized APIs and common data models.
FIWARE promotes ETSI NGSI-LD for context data, detailing various entities like buses and medical equipment.
NGSI-LD API facilitates powerful data handling operations including geo-queries and temporal functions.
Collaboration in defining common data models across sectors like Smart Cities and Health, relying on established standards.
Endorsement of FIWARE by key organizations and governments for real-time data access and smart data models.
Digital Twin integration frameworks for organizations focusing on data acquisition, management, and application layers.
Reference architectures in Smart Vertical Solutions and Organizations, addressing areas like Manufacturing and Agrifood.
Plans for advancing Digital Twin standardization, integration with AI/ML, and fostering multi-side data marketplaces.
Conclusion emphasizing FIWARE's commitment to open standards and interoperability along with contact details.
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Towards Digital Twin standards following an open source approach
- 1. Towards Digital Twinstandards following an open source approach Juanjo Hierro CTO FIWARE Foundation juanjose.hierro@fiware.org, @FIWARE
- 2. Digital Twins: anapproach for integration at multiple levels 1 Digital Twin representation Digital Twin representation Digital Twin representation 3rd systems sensors Smart Solution System 3 System 4 System 1 System 2 Smart City Smart Building Smart Logistics Smart Grid Architecting Smart Solutions Integrating systems and data within organizations (system of systems) Sharing Data across organizations (Data Spaces)
- 3. What are wereferring to as Digital Twin? ▪ Digital Twin = Digital representation of a real-world asset • Characterized by attributes □ Properties □ Relationships Linked Data • Values of attributes may change over time (or not) • Typically have a location (but it is not a must requirement) ▪ (digital representation of) Context = Digital Twins Collection ▪ Cornerstone for the development of interoperable and replicable (portable) Smart Solutions: • Standard API for getting access to Digital Twin data (context) • Common Data Models associated to Digital Twin classes ▪ FIWARE has driven standardization+adoption: • NGSI: NGSIv2 ETSI NGSI-LD API • Smart Data Models initiative (500+ data models) 2
- 4. FIWARE driving keystandards: ETSI NGSI-LD 3 Application/Service FIWARE NGSI API (NGSIv2 → NGSI-LD) Bus • Location • No. passengers • Driver • Licence plate Citizen • Name-Surname • Birthday • Preferences • Location • ToDo list Shop • Location • Business name • Franchise • offerings Context Broker Entities (Digital Twins) Bus • Location • No. passengers • Driver • License plate Citizen • Birthday • Preferences • Location • ToDo list Incident / claim • Date • Location • Type • Issuer • Description Shop • Location • Business name • Franchise • offerings Attribute
- 5. FIWARE driving keystandards: ETSI NGSI-LD 4 Application/Service FIWARE NGSI API (NGSIv2 → NGSI-LD) Context Broker Tractor • Location • Speed • Planed route Crop • Humidity • Leaf area • Age Drone • Location • Battery level • Speed • Planed route 4 Tractor • Location • Speed • Planed route Crop • Humidity • Leaf area • Age Drone • Location • Battery level • Speed • Planed route Attribute Entities (Digital Twins)
- 6. Ambulance • License plate •location • speed • equipment • current alert FIWARE driving key standards: ETSI NGSI-LD 5 Application/Service FIWARE NGSI API (NGSIv2 → NGSI-LD) Context Broker 5 Hospital • name • address • total patient rooms • occupied patient rooms • total surgery rooms • occupied surgery rooms Surgery Room • id • hospital • equipment • surgery plan Doctor • id • specialties • location • visits plan Attribute Entities (Digital Twins) Patient • id • location • patient record • treatment Ambulance • license plate • location • speed • equipment • current alert Alert • alert id • emergency level • description • location • patient id Surgery Room • id • hospital • equipment • surgery plan
- 7. FIWARE driving keystandards: ETSI NGSI-LD 6 Palletizer robot • Id • product • Items quantity • La<yers • Size • weight Operator • Id • Location • Assigned task • Profile Transport robot • Id • location • speed • transported items • destination Application/Service FIWARE NGSI API (NGSIv2 → NGSI-LD) Context Broker Palletizer robot • id • product • Items quantity • Layers • Size • Weight Transport robot • Id • location • speed • transported items • destination Operator • Id • location • assigned task • profile Shopfloor Door • Id • location • status (open/close) Attribute Entities (Digital Twins)
- 8. FIWARE driving keystandards: ETSI NGSI-LD 7 Smart Home • location • address • installed PV • energy consumption Wind Plant • Location • Active Power • Reactive Power • Frequency Application/Service FIWARE NGSI API (NGSIv2 → NGSI-LD) Context Broker Wind Turbine • location • power • wind speed • pitch angle Wind Turbine • location • power • wind speed • pitch angle Energy Storage • active power • reactive power • SoC • SoH Attribute Entities (Digital Twins) Substation • Hi voltage • Lo voltage • nominal power • power flow
- 9. FIWARE driving keystandards: ETSI NGSI-LD ▪ NGSI-LD is a simple yet powerful REST API ▪ Simple: simple operations are rather simple, what you would expect in a RESTful API • Entity types, entities, attributes have a path • You perform standard GET, POST, PUT, PATCH, DELETE operations ▪ Yet powerful: powerful operations supported • Geo-queries • Subscription / Notification • Pull/Push styles for gathering data • Multiple data ”renderings” (key value, normalized, GeoJSON) • Temporal operations • Federation mechanisms 8 Smart Home • location • address • installed PV • energy consumption Wind Plant • Location • Active Power • Reactive Power • Frequency Application/Service FIWARE NGSI API (NGSIv2 → NGSI-LD) Context Broker Wind Turbine • location • power • wind speed • pitch angle
- 10. https://github.com/smart-data-models FIWARE driving keystandards: Smart Data Models ▪ FIWARE Foundation is collaborating with relevant organizations towards definition of common data models for multiple application domains • Smart Cities • Smart Health • Smart Energy • Smart Environment • Smart Manufacturing • … ▪ Defined data models rely on well-established ”de-facto” standards (e.g., schema.org, SAREF, IEC CIM in Energy or UNE 178503 for Tourism) 9
- 11. data-models Umbrella repo Smart Water Subject 1 (sewage) Smart Cities Cross Sector Smart Environment Smart Destinations Smart Manufacturing Smart Agrifood Subject2 (parking) Subject 3 (weather) Subject 4 (Power Transformer) DOMAINS REPOSITORIES Readme pointing to the list of subjects General info or shared resources DATA-MODELS - Guides for coding new data models - Template for new data models and examples - Directory for scripting tools to check data models - Inventory of domains and data models - Inventory of attributes and terms - @Context for json-ld SUBJECTS’ REPOSITORIES Readme pointing to the list of data models for the objects Contributors.md subject-schema.json DATA MODELS README.md /doc/spec.md /examples schema.json Adopters LICENSE Smart Data Models: domains and subjects 10 LIFECYCLE MANAGEMENT REPOSITORIES Incubated Harmonization Smart Aeronautics Smart Robotics Smart Energy
- 12. Endorsement at globallevel: Relevant standard and industry bodies 11 TM Forum supports FIWARE NGSI for real-time access to context information in cities TM Forum and FIWARE collaborate in development of data marketplace platform components TM Forum and FIWARE also collaborate in definition of common data models (smart data models initiative) ETSI created Jan 2017 an Industry Specification Group (ISG CIM) for defining a Context Information Management API FIWARE NGSIv2 provided the basis for the NGSI-LD specs published by ETSI FIWARE provides several open source implementations of ETSI NGSI-LD The GSMA has published a Reference Architecture for IoT Big Data Ecosystem which recommends to mobile operators NGSI-LD plays the core role for the integration of components and the development of applications in the defined Reference Architecture
- 13. Endorsement at globallevel: Recommendations at region/country level 12 The FIWARE Context Broker Technology (hence, NGSI- LD) is a CEF (Connecting Europe Facility) Building Block recommended by the EC to public and private sector for publication of right-time context data The European Data portal will support the publication of right-time Open Data IUDX, which provides the trusted data exchange framework recommended to cities by the government of India, has adopted NGSI- LD as API for data exchange IUDX will join the smart data models initiative and play a leading role in definition of data models for cities
- 14. Digital Twins: anapproach for integration at multiple levels 13 Digital Twin representation Digital Twin representation Digital Twin representation 3rd systems sensors Smart Solution System 3 System 4 System 1 System 2 Smart City Smart Building Smart Logistics Smart Grid Architecting Smart Solutions Integrating systems and data within organizations (system of systems) Sharing Data across organizations (Data Spaces)
- 15. Smart Vertical solution:Reference Architecture (Smart Cities) ▪ Four major layers: • Data acquisition • Data management • Data processing/analysis & visualization • Application layer ▪ Data acquisition layer • Interface to IoT devices • Interface to cameras • Interface to robots ▪ Processing/analysis and visualization • Integration with most popular Apache processing engines (Spark, Flink, …) • Advanced web mashup and if-then-else tools ▪ You may use FIWARE components … or pick those you are interested and combine with 3rd components to create hybrid platforms 14
- 16. Smart Vertical solution:Reference Architecture (Smart Cities) ▪ Four major layers: • Data acquisition • Data management • Data processing/analysis & visualization • Application layer ▪ Data acquisition layer • Interface to IoT devices • Interface to cameras • Interface to robots ▪ Processing/analysis and visualization • Integration with most popular Apache processing engines (Spark, Flink, …) • Advanced web mashup and if-then-else tools ▪ You may use FIWARE components … or pick those you are interested and combine with 3rd components to create hybrid platforms 15
- 17. Smart Vertical solution:Reference Architecture (Smart Manufacturing) 16
- 18. Smart Vertical solution:Reference Architecture (Smart Agrifood) 17
- 19. Smart Vertical solution:Reference Architecture (Smart Energy) 18
- 20. Smart Organizations: ReferenceArchitecture following a System of Systems approach (Smart Manufacturing) 19
- 21. Smart Organizations: ReferenceArchitecture following a System of Systems approach (Smart Agrifood) 20
- 22. Smart Organizations: ReferenceArchitecture following a System of Systems approach (Smart Energy) 21
- 23. Smart Organizations: ReferenceArchitecture following a System of Systems approach (Smart Cities) 22
- 24. IdP Auth Smart Port SmartBuilding Context Consumers Context Producers Smart City Context Consumers Context Broker Effective and trusted data sharing 23 Context Broker Context Broker Data Space Trust Authority Marketplace / Publication Platform IdP Auth IdP Auth
- 25. IdP Auth Smart Grid SmartBuilding Context Consumers Context Producers Smart City Context Consumers Context Broker Effective and trusted data sharing 24 Context Broker Context Broker Data Space Trust Authority Marketplace / Publication Platform IdP Auth IdP Auth
- 26. FIWARE: what isgoing on ▪ Digital Twin standardization • Consolidate NGSI-LD as reference standard • Standardization of advanced Digital Twin features ▪ Continue with the definition of standard Data Models • Smart Data Models initiative – JOIN US ! • Cross-domain perspective ▪ Integration with blockchain / DLTs: • Transparency in processes - quality certification • Audits and forensics ▪ Integration with AI/ML technologies: • Standard architecture enabling ”AI/ML as a service” • plug&play extensibility of systems with AI/ML services ▪ Integration with Robotic systems: • Standardization of interfaces to robotics systems • Context-aware, smart, collaborative robots 25 ▪ Data Spaces / Marketplaces – Data Economy • Creation of multi-side markets • Monetization of data to incentivize sharing • Federated Identity and Access Management (IAM) • Data Usage Control
- 27. FIWARE: what itbrings 26 Technology that is free, for all, for ever • Curated framework of open source components for smart solutions • Royalty-free Common Smart Data Models • Inclusive approach, lowering barriers to contribution • Compelling Roadmap (blockchain, AI, robotics, …) • Enabling multiple business models • De-facto standard in Smart Cities, growing adoption in other domains • FIWARE Marketplace website publishing validated offerings “Powered by FIWARE” Solutions and Platforms “FIWARE-ready” Systems, IoT Devices FIWARE Services (consultancy, training, integration, support) A growing Ecosystem around the technology A vibrant Community engaged in the success • Growing number of members: 85+ organizations, 250+ individuals • Board of Directors (BoD) providing strategic direction • Technical Steering Committee driving technical decisions • Domain Committees through which members setup collaborations • Growing network of iHubs and Evangelists acting locally A Foundation bringing support and doing for the common good • Protecting the FIWARE brand and compliance with Code of Conduct • Augmenting global reach through relevant partnerships • Empowering the Community bringing support to their activities • Promoting FIWARE and recruiting new Community members • Bring means for validating FIWARE technologies and offerings
- 28. Conclusions ▪ FIWARE bringsresponse to existing challenges regarding interoperability and replicability of smart solutions in multiple sectors: ▪ Relying on Digital Twin vision ▪ Supporting System of Systems – Data Spaces integration ▪ An approach paving the way for the connection of systems across domains ▪ An approach that is future proof – comprehensive roadmap in place ▪ And don’t forget … 27 FIWARE is open, for all, for ever !!
- 29. http://fiware.org Follow @FIWARE onTwitter Sounds nice? - Contact us! Juanjo Hierro FIWARE Foundation CTO juanjose.hierro@fiware.org