Colegio Ingenieros - IOT and Industry 4.0 _ version 3.key
Transcripción
Colegio Ingenieros - IOT and Industry 4.0 _ version 3.key
Internet of Thinks + Cognitive Industry 4.0 Are these Connected? 2 Are these Connected? 3 Are these Connected? 4 What is IoT(Internet of Things)? 5 An Illustration 6 La GRAN pregunta 44 zettabytes Datos no estructurados Estamos aquí Datos estructurados 2010 2020 Computación Cognitiva la forma en la que pensamos la forma en la que pensamos observar decidir interpretar evaluar ¿Podemos reproducir este proceso en un sistema? Los sistemas cognitivos democratizan la innovación escalando el conocimiento SENSORS DATA ANALYTICS INFORMATION COGNITIVE Knowledge Haytrescapacidadesquediferencianlossistemascognitivos delossistemastradicionalesprogramados: Aprenden Razonan Entienden Los sistemas Cognitivos entienden como lo hacen los humanos , a través del lenguaje natural , palabras escritas , voz o videos Entienden información pero también ideas no explícitas y conceptos . Esta capacidad de razonar es mayor según pasa el tiempo Nunca paran de aprender . No ejecutan un modelo matemático y dan una respuesta que consideramos exacta. Los Sistemas cognitivos razonan y dan las evidencias de su respuesta exponiendo las razones por las que han llegado a esa conclusión. From IBM Smarter Planet Strategy to Industry 4.0 Smarter Planet = Smarter Value Chain Big Data & Analytics INTELLIGENT + INTERCONNECTED + INSTRUMENTED End-to-End Integration Internet of Things or M2M IoT, Industry 4.0 and Cyber Physical Systems Business B Internet ot Things Industry 4.0 Vertical Integration P Presentation A Analytics D Data Enterprise IT B I P A C D B AC P Production IT Production IT C I D A C T 34 Smarter Products I Integration C Connectivity T Thing/Machine Cyber Physical System Production IT Machines Machines Machines C Smarter Production C I D A Smarter Machines Possible Business Models: ‘pay how you use’ B Business Internet of Things Industry4.0 Vertical Integration P Presentation A Analytics D Data Enterprise IT B I P A B D C A C P Production IT Production IT C I D A C T Smarter Products Machine Machine Machines as a Service Machines Machines C Smarter Production I Integration C Connectivity T Thing/Machine IBM Watson Watson technologies can be leveraged to apply cognitive capabilities Typical Challenges in the production environment... Separate Systems in Production Data as raw material and information as gold Lack of insights 37 Increasing threat of Cyber-Hacks • Different proprietary protocols and data formats • Lack of communication between machines, shopfloor and IT systems • Monolithic inflexible systems (no modularity) • Enormous amount of data created - Decentralized data storage, overwritten before used - Lack of consistent data models and a holistic view • Differentiation between gold and waste in data • Insufficient insights concerning ideal setting of parameter in order to optimize machines and product quality • Increasing connectivity in production = more potential targets of attacks • Security risk through to safety risk for human life • Loss of reputation and trust What would it be like if you could take advantage of... Connectivity as enabler for data collection. • Bidirectional communication between machines, shopfloor and IT-systems Vertical Integration in Production Gain data out of your machine Change parameter within your machine • Modularity and Flexibility Transparency of your company gold. Collection of Production Data • Space-saving and performant data collection • Consolidated data at factory level and beyond Turning Data into Insights. Insights into Actions. Analysis of Production Data • Real-time analysis • Analysis of production parameter • Predict failure patterns (predictive maintenance) Maximize OEE: Availability Scrap rate Optimized production speed Close your Security gap. Connected Devices = Target of Hackers. 38 Industrial Security • Secured network transition from Office-IT to Shopfloor-IT • Industrial security from machine, to shopfloor, IT floor, even Internet • Detective and forensic analysis of anomalies Con IoT, se puede obtener IoT Solutions ✓ Conexión rápida y segura de dispositivos ✓ Optimizar Operaciones Operaciones ✓ Permitir nuevos modelos de negocio ✓ Nuevas formas de interactuar con los clientes y mercados Edificios/Instal RendimientoActivos Gest.Edificios Salud&Seguridad Gest.Trabajos Productosconectados Desarrollo Producto IoT Cloud Platform Vehículos Casa Salud Fabricas Transporte 39 The IBM IoT Cloud Platform Everything you need to Innovate with IoT Third Party Third Apps Party Apps IBM IoT Cloud Platform IBM IoT Foundation Connect Attach, Collect & Organize, Device Management, Secure Connectivity, Visualization IBM IoT Foundation Information Management Storage & Archive, Metadata Management, Reporting, Streaming data, Parsing and Transformation, Manage unstructured data IBM IoT Foundation Analytics Predictive, Cognitive, Real-time, and Contextual IBM IoT Foundation Risk Management Security Analytics, Data Protection, Auditing/Logging, Firmware Updates, Key/Cert Mgmt, Org Specific Security 40 IBM IoT Transformational Offerings Habilitando nuevos modelos de negocio con soluciones integradas Availabl enow or1H ‘16 Future 41