THE IOT CORE INDUSTRIAL EDGE INTELLIGENCE PLATFORM

Transcription

1 THE IOT CORE INDUSTRIAL EDGE INTELLIGENCE PLATFORM

2 FOG/ EDGE REAL-TIME ANALYTICS AND MACHINE LEARNING The IoT Core enables a broad range of industrial IoT applications providing new levels of autonomy, resilience, data security and lightning fast analytics on-the-spot. Despite its broadly recognized power, the applicability of Cloud Computing for time-critical operations is highly limited. Especially in manufacturing, automotive or telemedicine scenarios, where latencies caused by the roundtrip to cloud servers can have fatal consequences. Real-time intelligence at the fog/edge level is required. Fog/ Edge intelligence also provides new levels of resilience and autonomy, as poor connectivity or network outages do not affect local, mission-critical control loops. Wireless Fog-to-Fog communication mechanisms allow for autonomous device-to-device communication which, unlike cloud-based communication still functions during network performance degradation. By aggregating and analyzing data locally fog/edge-based data processing yields several data-security related advantages compared to traditional cloud-computing mechanisms. Not only can communication and exposition of sensitive data to external data centers be fully omitted, but also finely configured, which data is being sent to external parties, how data is being filtered, anonymized and encrypted and how the communication channels between local and external infrastructures are being secured. Among several other advantages, fog-computing allows for significant network capacity optimization, as less bandwidth is utilized on shop-floor-, enterprise-network and internet uplinks, significantly reducing bottlenecks and enabling fewer network congestions. Depending on the number of networked sensor devices and controlled actuators, the frequency and format of data exchanged (sensor on video data) and on the complexity of analytic computations, the IoT Core can be deployed on embedded mini-computers, industrial gateways and edge nodes, micro-datacenters as well as Cloud backends. As topologies and heterogeneity of distributed fog-/ edge-/ cloud-computing infrastructures can vary considerably, in many cases intelligent application orchestration systems are required, capable of dynamically deploying, managing and elastically scaling the compute infrastructure. Benefits of Fog-/ Edge Intelligence MES ERP PLM Cloud Edge Global Edge, Device Management and Controllers IoT Platform Edge Node Orchestration Wide Area Enterprise Latency Security Autonomy Fog Local and Controllers Data Protection Fog Node Field/ Shop Floor Fog to Fog

3 WITH ADVANCED DATA ANALYTICS AND MACHINE LEARNING TECHNIQUES THE IOT CORE ENABLES ARTIFICIAL INTELLIGENCE AT THE EDGE MISSION-CRITICAL INTELLIGENCE ON-THE-SPOT Combining fog-/ edge-/ cloud computing mechanisms with advanced real-time stream analytics and machine learning techniques enables a broad range of mission-critical industrial IoT applications. By providing advanced M2M connectivity through latest low-power wide area networks (LPWAN) and deterministic time-sensitive networking (TSN) technologies, edge intelligence is brought to smart cities in just the same way as to Industry 4.0 environments. Industrial IoT Standards, M2M Protocols and APIs (OPC UA, OneM2M) are provided to assure seamless integration and interoperability. Time-Critical Stream is enabled by latest Complex Event Processing (CEP), Machine Learning and Video modules, deployed on COTS fog-/ edge- as well as cloud-hardware infrastructures. Stream analytics algorithms (CEP, classification and regression models, decision trees, clustering, statistical analysis), as well as video analytics Applications Devices Network & Infrastructures & Platforms Connectivity Condition Monitoring Stram Processing Video Machine Learning Fog & Edge Computing LoRa NB-IoT Smart City Predictive Maintainance CPS/ Gateway SDN/ NFV Safety Retrofitting Device Management Data Management M2M Management & Orchestration TSN iwireless Industry 4.0 PLC Offerings: IoT Core Solution: Hardware selection, Deployment, Integration and Licensing IoT Testbeds: Feasibility-, Stress- Safety-, Security-Testing and Quality Assurance CPS-Enablement and Retrofitting: Mounting and interconnecting industrial sensors, drives and controllers with subsequent real-time data aggregation and controller logic programming Predictive & Artificial Intelligence: Modelling, Calibration and Application of advanced AI and Machine Learning Techniques for condition monitoring, predictive maintenance and safety applications IoT and Data Training, Consultation & Knowledge Transfer Goals and Focal Points: Demonstration, implementation and testing of IoT Technologies & Applications Versatile infrastructure enabling rapid implementation of IoT projects with industry partners and academia Key Application Domains and Customers: Industrial IoT: Shop-floor owners, operators and vendors of manufacturing and logistics equipment Public IoT: Smart Cities, ehealth, ministries and IT service providers functions (object, motion detection, tracking, counting & diagnosis, 3D video analysis) enable a broad range of use cases. The IoT Core is provided as a module of the OpenIoT- Fog Industry 4.0 toolkit on Contact us for an IoT Core live demonstration or join us at one of our upcoming events to learn more about the IoT Core and our services: iot-lab@fokus.fraunhofer.de!

4 The next multi-billion-dollar tech market was quietly born this year. A large portion of computation that gets done in the cloud today will return to the edge. Peter Levine, General Partner at Andreessen Horowitz, 2016

5 THE COST EFFECTIVE IOT CORE PROVIDES UNPRECEDENTED LEVELS OF AUTOMATION, OPERATIONAL EFFICIENCY AND COST SAVINGS FOR INDUSTRIAL IOT EDGE INTELLIGENCE USE CASES Edge Intelligence enables Industry 4.0 With edge intelligence a plethora of use cases from automotive to smart manufacturing, telehealth and smart city safety are enabled. The following few example applications realized within the Transfer Center IoT show the power of fog-/ edge-based data processing and local actuation. Edge Intelligence enables Public Safety & Privacy Through intelligent, distributed, autonomous Fog-based (video) data analysis and public surveillance systems are enabled to autonomously analyze public surveillance video data and trigger safety and defense actions without violating data protection and privacy regulations. Thereby an entirely new generation of public surveillance and safety services can readily be rolled out. By enforcing strict video data protection rules at the fog/edge level, the overall system complies with German privacy regulations. Through Fog-to-Fog communication mechanisms ultra-low latency levels are achieved. Highest levels of autonomy, resilience and robustness are achieved by local data processing and local actuator control. Retrofitting Industry 3.0 Shop Floor Assets allows for the monitoring of equipment performance and factory processes thus enabling the digital twin. Combined with hard real-time networking (TSN), hard & soft PLC interworking and fast stream analytics the IoT Core provides cost-effective means for monitoring and increasing Overall Equipment Effectiveness (OEE), enables Condition Monitoring & Predictive Maintenance as well as industrial Safety applications. Factory integration involves Deployment of IIoT Core Gateways in the field, monitoring and control through OPC UA based PLCs, Mounting of e.g. Micro-Electro-Mechanical Systems (MEMS) and many other sensors for aggregation of missing asset/ equipment data Local, real-time data analytics for rapid and direct asset control (safety, hazards, etc.) exploiting Machine Learning techniques Fog-/ Edge Intelligence for public surveillance Fog-/ Edge Intelligence for Retrofitting and Condition Monitoring Global Global Cloud Condition Monitoring Predictive Maintainance Safety Retrofitting Fog to Cloud Cloud to Fog Stram Processing Data Protection & Filtering Sensor Analyzed Data w/o security relevance Actuator Fog Node Fog Node Fog Node Video Machine Learning Fog & Edge Computing Integration CPS/ Gateway Retrofitting Fog to Fog Industrial Devices, Sensors, PLC s Local Smart City PLC

6 supported by: EUROPEAN UNION European Regional Development Fund CONTACT Prof. Dr. rer. nat Adrian Paschke Head of Data Center Phone Fax Dr.-Ing. Alexander Willner Head of IIoT Center Phone Fax Dr.-Ing. Florian Schreiner Head of Transfer Center IoT Phone Fax Fraunhofer FOKUS Kaiserin-Augusta-Allee Berlin Germany mfr 1710 (Photos: Phonlamai Photo/ shutterstock; Zapp2Photo/ shutterstock; Fraunhofer FOKUS)