Our Digital Future: Industry perspective.
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1 Our Digital Future: Industry perspective. EFECS 2017 December 6 th, 2017 Carmelo Papa CEO of STMicroelectronics Italy, EPoSS Chairman
2 The Digital Explosion (mild estimate) 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+) 2 [Source: Ericsson Mobility Report 2016]
3 What Happens in a Internet minute? (2017)
4 By 2022 the Internet traffic will shift Total mobile data traffic is expected to rise at a CAGR >45% ( ) 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 dramatically! 4 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]
5 Global mobile traffic [ExaByte per month] By 2022 the Internet traffic will shift dramatically! 5 [Source: Ericsson Mobility Report 2016]
6 By 2022 the Internet traffic will shift dramatically! 6 75% video [Source: Ericsson Mobility Report 2016]
7 What is different with the past? 7 Years to achieve 50 Millions Users
8 Smart Systems are the foundation of this revolution, based on tech and speed! 8 Smart Systems integrate cognitive functions with sensing, actuation, data communication and energy management Smart Systems provide safe and reliable autonomous operation under all relevant circumstances. 12/11/2017
9 IoT are Smart Systems based! Semi content estimated at $75B by This excludes conventional devices such as smartphones and PCs Wearables, 5 Smart City, 12 Fab Automation, 7 [$ Billion] Consumers, 15 Semicond. Value $75B by 2020 Smart Buildings, 15 Medical, 10 Smart Homes, 11 [Source: Baird Equity Research, 2016]
10 Smart Driving is another opportunity for Smart Systems 113M 2022 WW vehicle production in 2014 was 87Mu, in 2022 it will be 113Mu $ WW average silicon content per vehicle $ in 2014 was $295, in 2022 it will be $ M 2014 $295 Vehicle production and semiconductor content (*) data source: LMC, Strategic Analytics, ST, 2015
11 Some Examples of Smart Systems Applications 11 Smart Industry Smart Cities Smart Home Smart Things Internal knowledge sharing call - Internet of Things 12/11/2017 ST restricted
12 Smart Industry Enabling smarter, safer and more efficient factories and workplaces 12 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
13 Smart Industry Enabled by Connected Sensors & Actuators 13 Programmable Logic Controller Temperature Sensor IO-Link Master Controller 4x IO-Link Master Controller Protection devices 32-Bit Microcontroller The Next Step Machine learning, AI Self organizing Predictive maintenance IO-Link Transceiver Temperature Sensor 32-Bit Microcontroller Accelerometer Vibration Sensor IO-Link Transceiver Vibration Sensor 32-Bit Microcontroller Proximity Sensor IO-Link Transceiver Time-of-Flight Sensor 32-Bit Microcontroller IO-Link Transceiver Accelerometer 32-Bit Microcontroller
14 Self-sufficient Environmentally friendly Connected Smart Homes Photovoltaic panels Generating energy through photovoltaic panels and photovoltaic coated building walls 14 Air conditioning Efficient power supplies (TV, PC) Energy-efficient lighting Increased power efficiency through zero stand-by Vehicle to grid and E-vehicle charger Anti-theft and ambient light control, Smart appliances Energy, water, gas, meters The Next Step Smart appliances: fridge, washing machine, ovens, air conditioning Augmented Reality with wireless sensor network, smart systems, fast power line modems
15 Smart Garbage Collection 15 Connected containers allow cities to manage more efficiently collection with better services Smart Sensing Processing Improved garbage fleet management sensors MCU Connectivity Energy Management Avoid overfilled containers leading to user frustration and dumping Wireless Connectivity Management & Harvesting Only collect when necessary The Next Step Domestic robots that can differentiate and automatically collect garbage
16 Smart Meters Energy, Gas, Water 16 Processing STCOMET Smart-Meter-on-Chip Smart Sensing MEMS Real-time bidirectional information for consumers and utility companies Connectivity STarGRID PLC Energy Management Power Management Precise real-time consumption, malfunction and fraud info for providers Smart meters allow power generators to match consumption in a more efficient way and give users more control over their usage RFID & NFC Sub-GHz SPIRIT1 The Next Step Energy Harvesting ICs Real-time flexible tariff profiles visibility Electricity meters will be home gateways enabling new services like high speed multimedia, home monitoring and control
17 Smart Street Lighting Enabling New Services 17 Smart Sensing Motion MEMS Wi-Fi Module Bluetooth Module Connectivity Acoustic MEMS Environmental Sensors (Light, Temperature, Humidity, UV) STarGRID PLC Sub-GHz SPIRIT1 Processing STM32 32-bit MCU Energy Management Digital Power Management Energy Harvesting ICs Power MOSFET Easy and fast maintenance with remote monitoring Improved security with cameras light dimming and light color control Weather stations monitoring air quality and pollution The Next Step Traffic monitoring and re-routing with smart traffic lights and sensors
18 Smart Driving More efficient, safer and with greener journeys Radar Vision-based ADAS processors Information for the city traffic controllers on a real-time basis 18 Multi-constellation satellite navigation information Active safety measures make driving safer Secure car-to-car and car-to-infrastructure communication Best routing to avoid traffic and minimize fuel consumption Active safety systems (Vision or radar based) The Next Step Assisted and Autonomous Driving
19 Smart Parking and Tolling Helping drivers to find a parking spot faster and comfortably Smart Sensing Sensors Processing MCU Reducing traffic congestion with less fuel consumption and CO2 emissions 19 Connectivity Energy Management Data Concentrator Wireless Connectivity Management & Harvesting Restricted city areas access with tolling Smart Phone with Parking Map Parking services with better space control, pricing flexibility and direct user banking charging Car detection sensor embedded in the road Radar and camera assisted parking The Next Step Real-time data exchange between users and service providers for best matching of parking spot depending on space availability and user s final destination
20 Smart Museums and Theaters Augmented Reality and Context Awareness Bookings with personalised information and geo-location content 20 Smart Sensing Tiny, Inexpensive Sensors Processing Low Power MCU Museum interactivity Connectivity Ultra-low- Power Connectivity Low Energy management Battery Energy Harvesting Re-living historic live and events Musical scores, 3D vision The Next Step Information sent directly to smart glasses and phones
21 Smart Buildings and Infrastructure Protecting and monitoring the structure of buildings MEMS sensors for pressure and stability real-time monitoring 21 Smart Sensing Chemical and MEMS Sensors Connectivity Wireless Connectivity Processing MCU Low Energy Management Energy Harvesting Chemical sensors for ph monitoring Energy harvesting from structure vibrations for data transfer The Next Step Big data analysis with massive numbers aggregation for better understanding and structure collapse prevention
22 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
23 The Future Challenges for Digitalization Integration of: 23 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
24 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 data centers TAM: 30B$ By 2025, all Supercomputers with AI and Deep Learning!
25 Present Computers are missing the pace! What else? [Source: HP-E 2016]
26 Photonics can fill the gap now! Silicon Photonics today is a niche market with limited volumes. Nevertheless Photonics has the potential to meet the challenges: FLOPS increase faster than chip performance Data Bandwidth increase even faster! Power, size & cost MUST be scaled down!
27 Quantum Technology: the next step EU Flagship on QT Quantum computing: 50+ QBits Quantum computing Quantum communications: QT Internet Chip scale atomic clock Quantum networks Secure banking Quantum simulations Quantum sensing/metrology Quantum simulation QT HPC Medicine (fast HR Scans) Q interferometric Lithography
28 QT shows large collective investments
29 Conclusions The Digital Explosion calls us to face with an unprecedented amount of data. The IoT has the potential to connect tens of billions of smart systems through internet, generating demand for sensors, microcontrollers, data connectivity, energy management, SW tools and services. AI/Big Data, Photonics, Quantum Computing are breakthrough key pillars. EU has all the ingredients to win these Challenges provided adequate investments are devoted to R&D.
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