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1 March 18, 2014 The Internet Evolution Goals of the IoT What makes IoT different Complexities of the new model Breakdown of an IoT solution 3 First we connected Computers Then we connected People What’s left? Lots of “Things” 4 5 IDC says, 212 billion things by 2020 $4.8 trillion in 2012, $8.9 trillion in 2020 GE says, Industry savings (waste/productivity) of $150 billion/year Add $15 trillion to the global GDP by 2030 Cisco says, 25 billion connected devices by 2015, 50 billion by 2020 $14.4 trillion in “value at stake” (up for grabs) in the next 10 years 6 “Internet of Everything” “Industrial Internet” “Internet 4.0” “Smarter Planet” Gartner hype cycle, 2014 gartner.com 7 Smart Maintenance Operational Efficiency Improved Productivity Safety improvements Extend Equipment Life Reduce Waste Increase Productivity Cost reduction Environmental sustainability Improved Service Availability Supply & Process Optimization Reduce Unplanned Downtime Increase Efficiency 8 9 Axeda, 2013 10 We’ve networked computers We’ve networked people ? What’s the big deal about “things” 11 A human-centric model People originate most content People originate most information requests Multitude of client platforms – Macs/PC’s, tablets, phones, readers… Servers are heavy computing platforms Many applications: Web, mail, file-xfer A large family of standardized protocols suited to the applications – HTTP, SMTP, DHCP, SSH, SNMP…. All built on a standardized, IP based networking infrastructure A machine driven model, no human intervention A “thing” autonomously generates content (data) A “thing” autonomously requests content “Things” are the servers – sensors and devices publishing data “Things” can be any physical device or asset “Things” don’t have an RJ45 jack “Things” often have minimal computing capabilities, without access to electrical power “SCADA” Supervisory Control and Data Acquisition An industrial specialty for decades for the remote monitoring of systems SCADA is a silo of automation, not an internet of connected devices and shared information – limiting its value and scalability 14 What are the challenges of implementing IoT Solutions? 15 Market & Technology Fragmentation ▪ Hardware, software, protocols... all different, independent ▪ Lack of integration…between devices, to enterprise systems M2M Development Complexity ▪ Many different skills required... ▪ Hardware, Embedded, Software, IT, Telecom ▪ No common architectural guidelines ▪ Security risks Vendor Lock-In ▪ Proprietary SDKs, protocols ▪ Device specific, application specific 16 Applications & Services Device Management CONCLUSION Multiple disciplines, technologies, vendors combine to create a highfriction development environment that is not easy to navigate Database & Analytics Gateway Connectivity Device Sensor 17 Intelligent Irrigation Current State Irrigated agriculture accounts for over 85% water consumption in the US System efficiencies as low as 30-40% Herbicide/pesticide contamination caused by excessive watering Desired State Water called for only as required Current weather conditions and forecast are factored Availability and demand levels placed on the water supply are factored Automatic leak detection & alerts Mechanical failures are predicted in advance, eliminating unplanned downtime 18 Sensors Sensor Nodes Flow rate • • • • • • Monitor Soil Conditions: Soil temp and moisture sensors Monitor Environmental Conditions: Solar, temp, humidity and wind sensors Monitor Supply Capacity: Level, pressure, flow sensors Leak Detection: Moisture and flow sensors Fault Prognostics: Current, temperature and vibration sensors monitor pumps & motors Sensor Nodes digitize sensor data and sends it to the Gateway over wired or wireless connections Pressure Current Voltage Vibration Temperature 19 Device Device Connectivity Existing systems include devices with data ports that can be integrated into the solution • • • Water meters Electric meters Programmable Logic Controller (PLC) Specialized converters and device servers convert and connect these data streams to the intelligent gateway or IP network Database & Analytics Typically a mix of physical and protocol layers 20 Gateway Intelligent Gateways The Gateway performs three critical functions Intelligent Gateways 1. 2. 3. Collects and aggregates data from local sensors and devices as well as external data feeds Multiple disciplines, technologies, Applies a set of user defined rules to that data vendors combine to create high-friction 1. IF soil is dry AND weatheraconditions are favorable AND we have supply available AND its development environment that is not not about to rain THEN turn on the pumps easy2.to navigate IF pumps are failing OR water is leaking THEN send an alarm condition to the service team. IF the service team doesn’t take corrective action in time THEN reduce function of the system Provides backhaul data connectivity to one or more applications 1. Business Systems – accounting, billing 2. Maintenance Systems 3. Regulatory/Compliance Systems Applications Flow rate Pressure Gateway Current Voltage Vibration Temperature Wireless Sensor Network Devices 21 Connectivity Connectivity Primary or failover backhaul connections are often cellular. This generates its own challenges • Provisioning – the gateway attached to a carrier • SIM card, M2M data plan • From the carrier themselves, or • MVNO – virtual network operator • Data connectivity • May need a VPN tunnel from remote router to target network Wireless Network Internet Database & Analytics Cellular Data Gateway 22 Device Management Device Management Connectivity IoT Solutions are machine-centric, not people-centric They can involve very large quantities of devices They’re often remote Maintenance, upgrades diagnostics, data management must all be remotely managed Gateway 23 Database, Analytics, Applications Database, Analytics, Applications • • • Integrate Data into automated billing systems New applications for smart maintenance programs Automated reporting for environmental regulations • Private Enterprise Server/ ERP Integration • Oracle, SAP, etc Emerging Players, Hosted Application Environments • Thingworx, Xively, SeeControl • 24 Adding new devices and applications creates new security risks We’ve already seen examples of IoT hacks Technology, protocols and practices exist but require Considerable risk 25 IoT will change the profile of network traffic Shifting from a human-centric internet to “thing” centric internet impacts system design and expectations of reliability The value gains of optimized use of assets and resources has profound potential 26 27 System Integrators OEM/Machine Builders Technical VARs Application Service Providers 29 • B&B is agnostic to which platforms and services our customer prefer. We partner with and support a broad ecosystem of partners without bias. We don’t compete with our customers. • We co-sell with our partners, bringing revenue to them and helping them close their opportunities by providing a complete hardware solution. • We match the technology capabilities and business models of our partners to our customer’s objectives. CONNECTIVITY PARTNERS DEVICE MANAGEMENT PLATFORMS APPLICATION PLATFORMS 30 Contact Information Corporate Headquarters 707 Dayton Road, PO Box 1040 Ottawa, IL 61350 European Headquarters Westlink Commerical Park, Oranmore, Co. Galway, Ireland Phone: 1-800-346-3119 Fax: 815-433-5109 Phone: +353 91 792444 Fax: +353 91 792445 Customer Service: [email protected] Tech Support: [email protected] General Inquiries: [email protected] Customer Service: [email protected] Tech Support: [email protected] General Inquiries: [email protected] 32