MIDIH the Scope Susanne Kuehrer, Sergio Gusmeroli PROJECT - PowerPoint PPT Presentation

MIDIH – the Scope Susanne Kuehrer, Sergio Gusmeroli

PROJECT BACKGROUND

EC Communication April 19 th 2016 The purpose of this Communication is to reinforce the EU's competitiveness in digital technologies and to ensure that every industry in Europe, in whichever sector, wherever situated, and no matter of what size can fully benefit from digital innovations. Facilitated by a dynamic framework for coordination and experience sharing between public and private initiatives at EU, national and regional level, the proposed actions are expected to mobilise close to 50 B € of public and private investment in the next 5 years, explore and adapt when needed the legislative framework and reinforce coordination of efforts on skills and quality jobs in the digital age.

DEI Communication Four PILLARS

Background and Moti tivatio ions

THE MIDIH ECOSYSTEM

Str trong Partnership (23 (23 be bene neficiaries) • 9 CPS/IOT Competence Centers • 2 Teaching Factories • 2 Regional Manufacturing Digital Innovation Hubs • 3 Pan – European Digital Innovation Hubs • EIT Digital, IDS, FIWARE • 3 Industrial case-study providers • FIAT, IDS, NECO • 2 Open source digital platform providers • ATOS, Engineering • 2 IoT specialized SMEs • NISSA (Serbia) and HOPU (Spain)

The MIDIH Network of CCs CC1 CPS/IoT Networks and M2M Communication c/o FhG FOKUS (Berlin CC) CC2 CPS/IoT Trust Management and Cybersecurity c/o IMT (France CC) CC3 CPS/IoT Modelling and Simulation and Digital Twin of CPS-enabled Production Systems c/o fortiss (Munich CC) CC4 CPS/IoT Real Time Streams Analytics c/o VTT (Finland CC) CC5 CPS/IoT in Smart production systems and services c/o TUKE (Slovakia CC) CC6 CPS/IoT in Cloud Industrial Analytics Architectures and Tools c/o CEFRIEL (Italy CC) CC7 CPS/IoT based Edge Computing and Local Clouds c/o LTU (Sweden CC) CC8 CPS/IoT Data Value Chain Sovereignty in FhG IML (Dortmund CC) CC9 CPS/IoT HPC-based Cloud Manufacturing in PSNC (Poland CC)

MID IDIH In Innovatio ion Boo oosters: th the Ex Experim iments Predictive Maintenance in Automotive Product-Service Systems in Cutting Tools Coss-border Logistics Interoperability in Steel

Industrial Reference Models and Architectures for IIoT

Industrial Value Chain Reference Architecture (IVRA) The IVRA provides three perspectives to understand manufacturing industry as a whole: The knowledge/engineering flow, the demand/supply flow and hierarchical levels from the device level to the enterprise level. A key element is the introduction of Smart SMART FACTORY N Manufacturing Units (SMUs) in a way that allows I A H C to smoothly integrate human beings as elements Y L P with their autonomous nature – paying tribute to P U S the fact that it is the human being who discovers T R A a problem, defines a problem, and solves a M S problem in many cases not only in the past, but also in the foreseeable future. SMART PRODUCT Links with RAMI and IDSA are also available

IIRA Layered Databus: A Data-Driven approach The Inter-site Databus encompasses cross-site …. A Data -driven Industrial Internet approach interactions, so typically cross-Factory, cross- Enterprise value chain interactions The Site and Unit layers could also be coincident, but we can identify the Unit layer with Edge-Cloud layers in Production Line vs. Factory, Department Assets vs. Enterprise. This is the level of Real World Sensors, Objects, Devices, Machines, Products. Often, this Databus is embedded as Smart System (e.g. a CPPS, a Robot, a Car, a Truck, a Container.

The MIDIH Reference Architecture Industrial (DATA MANAGEMENT & INTEGRATION) STREAMING AND BATCH ANALYTICS Analytics Middleware Data-at-Rest Analytics DaR Visualization DaR Services DaR Information Bus Data Semantic Models DaR Security DaR Offline Processing Data Persistence Middleware Industrial Data-in-Motion IoT Middleware IoT DiM Visualization DiM Services DiM Events Broker DiM Security DiM Online Processing Field Gateway

SMART FACTORY & SMART PRODUCT Data Driven RA Condition Predictive Product End of Life Human SMART PRODUCT Pedigree Monitoring Preventive Modelling De- Re- Remote and Origin APPS ECOSYSTEM Diagnosis Maintenance Simulation Manufacturing Maintenance Diagnosis Production Sustainable Digital Twin Zero Remote SMART FACTORY Predictive Logistics Energy & Modelling Defect Training APPS ECOSYSTEM Analytics Optimisation Waste Simulation Manufactur Maintenance Industrial STREAMING AND BATCH ANALYTICS Analytics Middleware Data-at-Rest Analytics DaR Visualization DaR Models DaR Information Bus Semantic FRAMEWORK DaR Security DaR Offline Processing Interoperability Data Persistence Middleware Industrial Data-in-Motion IoT Middleware IoT DiM Visualization DiM Models DiM Events Broker DiM Security DiM Online Processing Field Gateway Factory PLC Process Robots Internal Warehouse VR / AR Discrete Industrial 61499 Au- Industry Cobots Logistics Management Human Manufacturing Shop floor tomation Plants Systems AGVs Systems Workspace Machine Tools Products Product Sharing Circular Fleet of Point of Sales People in open in the Service Economy Economy Vehicles Retail closed Spaces Systems Systems Systems Real World

THE MIDIH ARCHITECTURE & COMPONENTS

TECHNOLOGICAL SERVICES MIDIH: Alignment of main RAs in Smart Manufacturing Industrial Data Space Reference Architecture RAMI 4.0 Reference Architecture Model Industrie 4.0 IDS Alignment Smart Industry Advanced Services Public Portal Secure Data FIWARE for INDUSTRY (supporting Real-time Marketplace (Data Reference Architecture Reference Architecture Datasets) Economy support) Industrial Internet CEP rules Big Data KPIs Operation Simulation & actions Algorithms monitoring Dashboards Optimization Extended CKAN Event 3D Big Data Business Digital Mashup Processing Analytics Visualiser Intelligence Twin and Biz Framework API Management IdM & Access Control FIWARE Manufacturing Industry Context Information Management layer (Orion Context Broker) Keyrock / Wilma Optimisation Maintenance Logistics • location • • Zero Defect Waste Mgmt location location • route Shared car • • • traffic process • location Worker id • • next stop location • product • • description • pollution capacity • time next stop • status NGSI Agent Framework (ROS, OPC- UA, MQTT, OneM2M, LwM2M, ….) NGSI NGSI NGSI NGSI NGSI NGSI … NGSI NGSI … NGSI Agent Agent Agent Agent Agent Agent Agent Agent Agent IIRA Robotic Machine Process Warehouse Human … Traffic Waste … Design Operation Systems Tools Industry Control Mgmt Workspace Mgmt Engineerin Service Smart Factory scenarios Other information sources Smart Product scenarios 16

TECHNOLOGICAL SERVICES MIDIH Data-driven Reference Architecture Industrial Analytics Middleware Analytics Data at Rest DaR Visualisation DaR Services DaR Information Bus Data Semantic Models DaR Security DaR Offline Processing Data Persistence Middleware Industrial IOT Middleware Data in Motion IOT DiM Visualisation DiM Events Broker DiM Services Field Gateway DiM Security DiM Online Processing

TECHNOLOGICAL SERVICES Mapping FIWARE Components into MIDIH RA Industrial Analytics Middleware Analytics Data at Rest CKAN Knowage Biz Ecosys. DaR Visualisation DaR Services DaR Information Bus (DATA MODELS) AuthZForce WILMA Data Semantic Models Cosmos DaR Security DaR Offline Processing KeyRock STH-Comet Cygnus Data Persistence Middleware Industrial IOT Middleware Data in Motion IOT IoT Broker Kurento Wirecloud Orion CB Biz Ecosys. DiM Visualisation DiM Events Broker DiM Services IDAS IoT Discov. Field Gateway AuthZForce DiM Security DiM Online Processing WILMA Perseo CEP Cepheus KeyRock

TECHNOLOGICAL SERVICES Mapping APACHE Components in MIDIH RA Industrial Analytics Middleware MXNet Data at Rest Analytics DaR Visualisation Flume Sqoop PredictionIO DaR Services Zeppelin DaR Site Databus Mahout Clerezza MetaModel Hive Data Semantic Models DaR Security SPARK DaR Offline Processing Flink Fortress Kerby Syncope Crunch Pig Ranger HBase Data Persistence Middleware Cassandra Druid Hadoop Tez Hama Pheonix Industrial IOT Middleware Data in Motion IOT KAFKA DiM Visualisation DiM Site Databus DiM Services NiFi Field Gateway STORM SPARK Flink DiM Security DiM Online Processing Edgent Samza

MIDIH: Data-Driven Smart Factory-Product TECHNOLOGICAL SERVICES APPLICATIONS ECOSYSTEM Fleet Mgmt, PLM, PSS . APPLICATIONS ECOSYSTEM Optimisation, Energy, Maintenance Visualisation Privacy and Security Interoperating Data in Motion Data at Rest Visualisation Data Processing Persistence Brokering Event Processing Field Gateway INDUSTRIAL SHOPFLOOR Production Lines, Machinery, Robots, Warehouses, Logistics PRODUCTS OPERATION in REAL WORLD Retail, Post-sales operations, Logistics, Circular Economy

MIDIH: Data-driven Smart Supply Chain TECHNOLOGICAL SERVICES SMART SUPPLY CHAIN view External IDS App Store Broker Connector Internal IDS Internal IDS Internal IDS Connector Connector Connector

TECHNOLOGICAL SERVICES MID IDIH Ex Experim imentatio ion in in FIA IAT (Sfactory)