Our Digital Future: Industry perspective. EFECS 2017 December 6 th , 2017 Carmelo Papa CEO of STMicroelectronics Italy, EPoSS Chairman
The Digital Explosion (mild estimate) 2 Around 29 Billion connected devices are forecast by 2022, of which around 18 B will refer to IoT. IoT is expected to increase at a CAGR of 21%, driven by new use cases. 70% of wide-area IoT devices will use cellular technology in 2022 (i.e. 5G+) [Source: Ericsson Mobility Report 2016]
What Happens in a Internet minute? (2017)
By 2022 the Internet traffic will shift dramatically! 4 • Total mobile data traffic is expected to rise at a CAGR >45% (2016-2022) • According to a report issued by Cisco, the tot internet traffic will get close to 44 Zettabytes (i.e. 10^21 bytes) • Out of which 40% will come from connected sensors • Only Mobile traffic to reach 69 Exabytes/month (i.e. 10^18 bytes). • … all printed books in the whole history make 5 Exabytes [Source: Ericsson Mobility Report 2016]
By 2022 the Internet traffic will shift dramatically! 5 Global mobile traffic [ExaByte per month] [Source: Ericsson Mobility Report 2016]
By 2022 the Internet traffic will shift dramatically! 6 75% video [Source: Ericsson Mobility Report 2016]
What is different with the past? 7 Years to achieve 50 Millions Users
Smart Systems are the foundation of this revolution, based on tech and speed! 8 Smart Systems Smart Systems integrate cognitive provide safe and functions with reliable sensing, actuation, autonomous data communication operation under all and energy relevant management circumstances . 12/11/2017
IoT are Smart Systems based! Semi content estimated at $75B by 2020 9 • This excludes conventional devices such as smartphones and PCs Fab Automation, 7 Wearables, 5 Consumers, 15 Semicond. Value $75B by 2020 Smart City, 12 [$ Billion] Smart Buildings, 15 Medical, 10 Smart Homes, 11 [Source: Baird Equity Research, 2016]
Smart Driving is another opportunity for Smart Systems 113M $333 2022 2022 WW vehicle production WW average silicon content per vehicle $ in 2014 was 87Mu, in 2022 it will be 113Mu in 2014 was $295, in 2022 it will be $333 2014 2014 87M $295 Vehicle production and semiconductor content (*) data source: LMC, Strategic Analytics, ST, 2015
Some Examples of Smart Systems Applications 11 Smart Smart Smart Smart Industry Cities Home Things Internal knowledge sharing call - Internet of Things 12/11/2017 ST restricted
Smart Industry 12 Enabling smarter, safer and more efficient factories and workplaces Smart Industry • Factories that produce in a more efficient manner • More flexibility and customization possibilities in the supply chain • More sustainable production with less waste and less energy used • Safer working environments for people • Better man-machine cooperation in the work place • Optimized usage of machines and tools with Automation
Smart Industry Enabled by Connected Sensors & Actuators 13 IO-Link Master Controller Programmable • 4x IO-Link Master Controller Logic Controller • Protection devices Machine learning, AI • 32-Bit Microcontroller The Next Step Temperature Self organizing • Sensor Predictive maintenance • • IO-Link Transceiver • Temperature Sensor • 32-Bit Microcontroller Accelerometer • IO-Link Transceiver • Accelerometer Vibration Proximity Sensor • 32-Bit Microcontroller Sensor • IO-Link Transceiver • IO-Link Transceiver • Time-of-Flight Sensor • Vibration Sensor • 32-Bit Microcontroller • 32-Bit Microcontroller
Smart Homes Self-sufficient 14 Environmentally friendly Connected Generating energy through photovoltaic panels and photovoltaic coated building Photovoltaic walls panels Energy-efficient Air conditioning Increased power efficiency through zero lighting stand-by Efficient power supplies (TV, PC) Vehicle to grid and Anti-theft and ambient light control, E-vehicle charger Smart appliances: fridge, washing machine, ovens, air conditioning Smart appliances Energy, water, gas, meters Augmented Reality with wireless sensor The Next Step network, smart systems, fast power line modems
Smart Garbage Collection 15 Connected containers allow cities to manage more efficiently Improved garbage fleet management Smart Sensing Processing collection with better services sensors MCU Avoid overfilled containers leading to user frustration and dumping Connectivity Energy Management Wireless Management Connectivity & Harvesting Only collect when necessary Domestic robots that can differentiate The Next Step and automatically collect garbage
Smart Meters Energy, Gas, Water 16 Processing Smart Sensing Real-time bidirectional information for consumers and utility companies STCOMET MEMS Smart-Meter-on-Chip Energy Precise real-time consumption, Management Connectivity malfunction and fraud info for providers STarGRID™ Power PLC Management Energy RFID & Sub-GHz Harvesting NFC SPIRIT1 Real-time flexible tariff profiles visibility ICs Smart meters allow power generators to match consumption in a more efficient way and give users more control over their usage Electricity meters will be home gateways The Next Step enabling new services like high speed multimedia, home monitoring and control
Smart Street Lighting …Enabling New Services 17 Easy and fast maintenance with remote Smart Sensing Processing monitoring STM32 Motion Acoustic 32-bit MCU MEMS MEMS Environmental Sensors Energy Management Improved security with cameras light (Light, Temperature, Humidity, UV) dimming and light color control Digital Power Management Connectivity STarGRID Energy Wi-Fi ™ Harvesting Module PLC ICs Weather stations monitoring air quality Power Bluetooth Sub-GHz and pollution Module SPIRIT1 MOSFET Traffic monitoring and re-routing with The Next Step smart traffic lights and sensors
Smart Driving More efficient, safer and with 18 greener journeys Information for the city traffic controllers on a real-time basis Vision-based ADAS processors Radar Multi-constellation Active safety measures make driving satellite navigation safer information Secure car-to-car and car-to-infrastructure communication Best routing to avoid traffic and minimize fuel consumption Active safety systems Assisted and Autonomous The Next Step (Vision or radar based) Driving
Smart Parking and Tolling 19 Helping drivers to find a parking Smart Sensing Processing spot faster and comfortably Reducing traffic congestion with less fuel consumption and CO 2 emissions Sensors MCU Connectivity Energy Management Restricted city areas access with tolling Management Wireless Data Connectivity & Harvesting Concentrator Smart Phone with Parking Map Parking services with better space control, pricing flexibility and direct user banking charging Real-time data exchange between users Radar and camera assisted parking and service providers for best matching Car detection The Next Step of parking spot depending on space sensor embedded availability and user’s final destination in the road
Smart Museums and Theaters 20 Augmented Reality Bookings with personalised information and Context Awareness and geo-location content Smart Sensing Processing Museum interactivity Tiny, Low Power Inexpensive MCU Sensors Re-living historic live and events Connectivity Low Energy management Ultra-low- Battery Energy Power Harvesting Connectivity Musical scores, 3D vision Information sent directly to smart glasses The Next Step and phones
Smart Buildings and Infrastructure 21 Protecting and monitoring the structure of buildings MEMS sensors for pressure and stability real-time monitoring Smart Sensing Processing Chemical and MEMS MCU Sensors Chemical sensors for pH monitoring Connectivity Low Energy Management Energy Wireless Connectivity Harvesting Energy harvesting from structure vibrations for data transfer Big data analysis with massive numbers The Next Step aggregation for better understanding and structure collapse prevention
All that glitters is not gold! Smart cities will contribute to a better life for citizens but the benefits are not without risks! • Increasing alternative and distributed energy sources may lead to instability and congestion of the grid with possible power interruptions • Many software based services and increased data exchange can become a target for hackers, with disruptive consequences for the community • Privacy at risk due to too many connections and monitoring systems exploiting personal data
The Future Challenges for Digitalization 23 Integration of: • AI (Artificial Intelligence) • Data Analytics and Big-Data are necessary as we move forward. • Big Data models: Cloud, Client and “on - Smart Systems” • Photonics • Quantum Technology
AI industry still in “infancy” stage • Capabilities classified as AI nowadays include • understanding human speech,, autonomous cars, content delivery networks (e.g. 5G+), inferencing from complex data, including images and videos. • 70% of TOP-500 HPC applications are now driven by a combination of new AI algorithms and GPUs accelerators. • 2017 data centers TAM: 30B$ • By 2025, all Supercomputers with AI and Deep Learning!
Present Computers are missing the pace! What else? [Source: HP-E 2016]
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