IoT in Connected Spaces

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1 IoT in Connected Spaces Aniruddha Deodhar Senior Manager, IoT Solutions, ARM ARM Tech Forum Singapore July 12 th 2017

2 Why? 2

3 Rapid Urban Growth means more time spent in Buildings Today ~7 billion people Need to add graphics, pie charts 55% live in cities (82% in N.A.) 75% CO2 from cities Spend 90% of time indoors Need 1.6 planets worth of resources ~10 billion people 66% in cities 22% senior citizens +70% food

4 Smart Buildings equal smart people! 90% of time spent indoors 1 90% of a building s lifetime costs is personnel costs 2 The rule 3 Enhanced indoor environmental quality doubled cognitive functions 4 131% higher crisis response 288% higher strategy 299% higher information usage 4 1. US EPA Region 3. (2016). Air and Radiation: Basic Information. Retrieved from 2. Center for the Built Environment, University of California, Berkeley. (2007). The Impact of Ventilation on Productivity. Retrieved from 3. Green + Productive Workplace, Jones Lange LaSalle, Retrieved from 4. The Cogfx study, United Technologies, Retrieved from

5 Climate Change mitigation starts with Buildings Energy/CO2 Electricity 39% 68% Raw Material Waste 60% 26% 5 The fastest-growing demand for energy comes from commercial buildings and infrastructure.

6 Highest potential IoT opportunities lie in the built environment* Human $170B 1.6T Retail environments $410B 1.2T IoT s Total economic impact of $3.9 trillion - $11.1 trillion per year in 2025 Home $200B 350B Offices $70B 150B Factories $1.2T 3.7T Cities $930B 1.7T Vehicles $210B 740B Outside $560B 850B Worksites $160B 930B 50-60% from the built environment 6 *Source: Unlocking the potential of the Internet of Things, June 2015, McKinsey ** Factories includes Data centers, Hospitals and Farms

7 What? 7

8 Smart Buildings Grid Cloud Analytics Remote Access Microgrid 8 Electric Vehicle Meters (Electricity, Gas, Water)

9 IoT Installed Base for the Highest-Volume Business Applications (mu in 2020, Gartner) 1,

Most Influential Reasons for Smart Buildings Additional Economic Benefits Market differentiation related to improvements and tenant satisfaction May include utility and tax incentives Improved asset

10 Most Influential Reasons for Smart Buildings Additional Economic Benefits Market differentiation related to improvements and tenant satisfaction May include utility and tax incentives Improved asset value can result from market differentiation Enhanced talent acquisition and retention can result from higher tenant satisfaction 10

Field Level Automation Level Management Level Typical Smart Building Architecture Ethernet, Cellular Cloud,

Energy Generation, Storage, EV Primary Bus BACNet, Ethernet TCP/IP Router HTTP, HTTPS, XML Smart Device

BACNet Proprietary, Brillo/Weave Secondary Bus Legend 11 Meter, Sensors, Valves Switches Lighting, Sensors,

11 Field Level Automation Level Management Level Typical Smart Building Architecture Ethernet, Cellular Cloud, Storage, Remote Access Central Workstation Enterprise Server On-prem access Gateway Ethernet, Wifij Zigbee Energy Generation, Storage, EV Primary Bus BACNet, Ethernet TCP/IP Router HTTP, HTTPS, XML Smart Device Controllers PLCs, DDCs WiFi Edge Computer CCTV Cellular, Sub-Ghz Grid Lonwork Modbus Zigbee Thread, LWM2M BACNet Proprietary, Brillo/Weave Secondary Bus Legend 11 Meter, Sensors, Valves Switches Lighting, Sensors, Thermostats VAV Boxes, Boilers, Roof Top Units Actuators, Security, Air Handler Units Cortex-A Cortex-R Cortex-M Mali, Spirit Cordio mbed

12 Smart Lighting (Philips Hue) STM32F217 Cortex-M3 12 Philips Hue

13 Smart Camera Architecture (Ambarella) Image Processor Video encoder uprocessor CMOS Image sensor Sony, Aptina, Omnivision, Panasonic Radio Ethernet MAC 13

14 Smart Meter Architecture (Renesas) 14

15 How? 15

16 100 bn ARM-based chips shipped since

17 Architecting the IoT opportunity Efficiency, Scalability, Standards, Flexibility Compute Security Connectivity Services 17

18 Architecting the IoT opportunity Compute Security Connectivity Services 18

19 Cortex-M23: TrustZone in the smallest footprint Smallest footprint Maximum efficiency Constrained applications Secure Ultra efficient +50% more efficient than Cortex-M33 Smart lock Safe Smart bandage Ubiquitous 75% smaller than Cortex-M33 same ultra-high efficiency as Cortex-M0+ Making energy harvesting IoT viable Medical nanorobot Asset tracking 19

replacement Auto-initialization Self-tuning/calibration Built-in self test (BIST)

20 Smart analog + TrustZone = IoT sensor security Cortex-M0 and Cortex-M23 enable: Data processing Digital filtering and regulation Improved efficiency State machine replacement Auto-initialization Self-tuning/calibration Built-in self test (BIST) Safety monitoring And trust, with Cortex-M23 Analog IC Smart analog IC Trusted smart analog IC 20

21 Ecosystem has adopted ARMv8-M Public silicon partners Public ecosystem partners 21

22 Architecting the IoT opportunity Compute Security Connectivity Services 22

23 Initial Root of Trust & Chain of Trust Apps OS/RTOS Trusted Software TrustZone Extended Root of Trust irot TrustZone CryptoCell RTOS Trusted Apps/Libs Extended Root of Trust e.g. TrustZone based TEE Initial Root of Trust: Dependable Security functions Keys Provisioned keys/certs 23

24 Security Principles: Isolation and Least Privilege Non-Trusted Majority of software Operating system Graphics Applications Data processing non-trusted Trusted Hardware Hardware that can only be accessed by trusted software Memory and peripherals that can only be accessed from trusted mode Trusted Software Crypto functions Key management Attack detection Sensitive data crypto trusted software trusted hardware secure system trusted secure storage TRNG Trusted hardware includes security hardware Hardware to protect critical data and keys True random number generator Crypto accelerators 24

Secure IPC ARM is defining the Platform Security Architecture (PSA) Ecosystem needs Reduce the SW ecosystem s time to secure implementations by reducing architecture and API fragmentation Non-secure

25 Secure IPC ARM is defining the Platform Security Architecture (PSA) Ecosystem needs Reduce the SW ecosystem s time to secure implementations by reducing architecture and API fragmentation Non-secure processing environment (NSPE) Application Platform Security Architecture Secure processing environment (SPE) mbed Cloud client Reduce commercial risk associated with IoT device security (e.g. standardize approach for evaluation, align architectural framework) mbed OS Secure Partition API Trusted Firmware-M TBSA - M mbed Boot Reduce cost and complexity for SoC designers. Functional security blocks based on use-case decomposition across verticals. ARMv8-M (M33) SoC Root of Trust keys 25 Reduce partner development cost

26 Architecting the IoT opportunity Compute Security Connectivity Services 26

NB-IoT a growth opportunity Fastest growing connectivity segment,

2017 2018 2019 2020 2021 By 2022, ~70% of wide area connections

5 billion 2 Open standards based technologies like 3GPP are key to

27 NB-IoT a growth opportunity Fastest growing connectivity segment, fueling the growth of IoT CAGR % 1 NB-IoT Growth >100Mu >1Mu By 2022, ~70% of wide area connections expected to be cellular, approx. 1.5 billion 2 Open standards based technologies like 3GPP are key to adoption Proprietary 30% Open 70% 27 1: IHS Low Power Wide Area (LPWA) Market Report : Ericsson Mobility Report 2016

28 ARM s Cordio-N IP Sensors Cordio-N Protocol stack runs on Cortex-M processor (with h/w acceleration) Conforms to 3GPP Rel-13 Supports flexible SoC architectures Trace, Debug & Cal. tools RTOS reference platform (e.g. mbed) Cortex-M Application Layer & Device Management Protocol stack PHY Radio Application layer & Control Device management Connection management Secure Sub-System e.g. SIM Communications Protocol Stack L3, L2 & L1 PHY Channel estimation, Mapping Demodulation RF transceiver Sub-GHz band support External PA (1 st gen) TSMC 40nm ULP 28

29 Cordio-N IP - Summary Global open standard Carrier certified IP Complete solution - Antenna-to-App 29

30 Architecting the IoT opportunity Compute Security Connectivity Services 30

deployments This was rather ingenious as it allowed the evolution to begin.

31 ARM mbed IoT Device Platform We offer standards-based services to securely create, manage and unlock value from connected products to fast-track IoT deployments This was rather ingenious as it allowed the evolution to begin. ARM mbed Cloud: A Much Needed Step For The Internet Of Things (IoT) Nov 2016, Forbes 31

ARM mbed IoT Platform differentiators Cortex-M mbed OS

connectivity for low power Highest performance and

discrete processing and microcontrollers Platform OS built

for high-level operating systems Optimized for secure device

32 ARM mbed IoT Platform differentiators Cortex-M mbed OS Cortex-A mbed Cloud Smallest/lowest power Secure connectivity for low power Highest performance and flexibility Chip-to-cloud IoT platform Optimized for discrete processing and microcontrollers Platform OS built for secure IoT for the most constrained devices Optimized for high-level operating systems Optimized for secure device management and analytics for at-scale IoT Underpinned by the industry s largest ecosystem on IoT 32

Connecting chip to cloud Device software

33 Connecting chip to cloud Device software Device services Third-party cloud services IoT device application mbed Cloud Update IoT cloud applications Analytics and rules App management mbed clients mbed OS, mbed Cloud Client Provision Web servers Scale-out Device silicon and hardware Connect Load balancing Data storage 33

Simplifies firmware update across any device Device to

34 mbed Cloud: Trust and productivity at IoT scale Device management optimized for IoT Any device Any network Simplifies firmware update across any device Device to cloud trust as a service enabler On boarding process 34

35 Proven across a broad range of devices Low power and high efficiency solutions using BLE devices with 16kb memory Security and connectivity are unified and strengthened on a shared platform Deployed across many mbed OS based Cortex-M platforms Proven in heterogeneous and hierarchical networks with gateways Deployed on Linux based mobile devices Demonstrated as beta on FreeRTOS 35

36 Case Studies 36

$250,000 annual savings in San Diego from 100,000 nodes

37 Proven at scale for connected city operations Deployed in smart street lighting solutions since $250,000 annual savings in San Diego from 100,000 nodes deployed. Reduced OpEx and improved citizen safety. Deployed throughout USA and South America. 37

38 Smart parking meter 38

39 STM32-LoRa /SubGhz Ref. Architecture 39

40 STM32-LoRa /SubGhz Ref. Architecture 40

41 mangoh Red specs 2G 3G 4G LPWA CF3 Socket CF3 Cortex-M4 IoT Expansion Card connector Sierra Wireless SIM Raspberry Pi connector Battery connector WiFi Bluetooth Sensors Audio Jack and USB 41

42 IoT Development Board: mangoh Integrated Module 550 MHz 1.2 GHz 256 MBytes FLASH 128 MBytes RAM Application Core Telecom Core Multicore Baseband SPI I2C SDIO UART USB FLASH/RAM Memory Cellular RF GNSS RF 42

43 A smarter Ballpark will reduce opex by >25% QUALCOMM INTELLIGENT SOLUTIONS, INC. 43

Architecture:sensors gateways analytics Power Circuits Power

Data Archive Back of House Operations Screens Chilled Water

Framework Front of House Fan Experience Screens Natural Gas

intelligence gateways Connectivity Qualcomm Snapdragon is a

PI Connector Node PI Coresight On-Premises PI System

44 Architecture:sensors gateways analytics Power Circuits Power BMS PI UFL Interface Irrigation Risers Modbus Gateway PI Data Archive Back of House Operations Screens Chilled Water Modbus Gateway PI Modbus Interface Domestic Water PI Asset Framework Front of House Fan Experience Screens Natural Gas LP Natural Gas HP Petco Park Assets Sensors QISI edge intelligence gateways Connectivity Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc. PI Connector Node PI Coresight On-Premises PI System Infrastructure (Petco Datacenter) Reporting, Data Sharing, and other Tools User Tools and Dashboards 44

An Energy Network of Things for better grid utilization Reduce Energy

Drivers 400% increase in Distributed Energy Resources (EIA) 55% of facility

management will give them a competitive advantage (Deloitte survey)

45 An Energy Network of Things for better grid utilization Reduce Energy Consumption Avoid Power Outages Lower Carbon Footprints with Microgrids Drivers 400% increase in Distributed Energy Resources (EIA) 55% of facility owners would like to generate own power and 79% believe real time energy management will give them a competitive advantage (Deloitte survey) Solution Template driven, automated connection of all energy devices on a single platform 45

cooling from outside air with predictive

Affordable edge devices can be placed as

46 Edge Analytics Controllers for more responsive HVAC Challenge Seize free cooling from outside air with predictive analytics to save energy Solution Retrofit rooftop units with edge controllers that can support a full IoT workflow Run Built-in Analytics and optimize Control and Visualize in Real-time Results Reduced energy use Straightforward control logic designs. Affordable edge devices can be placed as needed to generate actionable items. Easy remote monitoring Block Logic 46

47 Responsive Energy Intelligence for Complex Buildings Sense-Learn-Act Automated Demand Management Equipment Health, Fault Detection & Diagnostics Device Level Energy Transparency How does it do it? Proprietary high-resolution sensors give device level details Artificial Intelligence to enrich data, deliver building-specific insights and enable new use cases Transform data stream into real time alerts Create hyper-localized load forecasts for deeper savings 47

48 Real-time building energy management and control drives resource efficiency Challenge Allowing downstream commercial customers to monitor/control their power use Solution Secure, flexible sub-metering solution installed behind gate meter Applications Energy Monitoring Tenant Billing Autonomous Operation Demand Response Environmental Data Monitoring 48

49 Autonomous solar panels for direct participation in incentive markets Challenge Solar Renewable Energy Certifications (RECs) require extensive auditing and are only accessible to large commercial installations Solution Proof of concept: Solar panel is connects to a meter and Filament device, which securitizes the asset in the field and connects to secure market platform, powered by Nasdaq Linq. Applications Other renewables Incentives for energy usage Asset allocation 49

50 In Conclusion 50

51 Needs driving smart buildings neither new nor unique to humans 51

52 But new challenges require better intelligence 52

53 IoT is already transforming lives Personal Industrial Societal The next transformation requires 53 Efficiency Security Scale

54 Architecting the IoT opportunity Compute Security Connectivity Services 54

55 100 bn ARM-based chips shipped since

56 The trademarks featured in this presentation are registered and/or unregistered trademarks of ARM Limited (or its subsidiaries) in the US and/or elsewhere. All rights reserved. All other marks featured may be trademarks of their respective owners. Copyright 2017 ARM Limited

ARM mbed: Internet of Possible

ARM mbed: Internet of Possible Bill Woo Director ISG Sales El Tower / 2017 Tech Forum June 28, 2017 Introduction Today enterprises are under pressure to unlock the value in the Internet of Things. Our