IoT: Internet of Things. Lew Gaskell - IBM Transportation Leader

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2 IoT: Internet of Things Lew Gaskell - IBM Transportation Leader

3 The transport ecosystem is confronting four critical global issues, which are creating a specific set of challenges for transport agencies. Drivers of change Industry challenges Imperatives Population explosion Urbanization System Inefficiencies Technology Capacity and congestion How to meet the growing, changing demand efficiently, consistently and profitably? Empowered customers How to deliver the greatest choice, convenience and value to consumers? Efficient operations How to improve efficiency and reduce costs, and improve service and reduce environmental impact? Safety and security How to unobtrusively reduce exposure to security risks and increase the safety of operations? Predict demand and optimize transportation assets and infrastructure Dramatically improve the endto-end traveler experience Improve operational efficiency while reducing environmental impact Ensure safety and security

4 Smart Cities Transportation is the lynchpin for economic viability and competitiveness Govt can infuse intelligence into their entire transportation system, improving drivers commutes, giving better information to city planners, increasing public transportation use and raising citizens quality of life. INSTRUMENTED Smarter transportation ecosystems are able to track traffic from source to destination, monitor conditions in real time and instantly identify faults and inefficiencies across assets and infrastructure. INTERCONNECTED Smarter connections provide customers access to continuously updated information as well as travel choices, with instant notification of any irregularities in the transport system. INTELLIGENT Advanced analytics from real-time to predictive and cognitive data, enables decisions to be made in optimizing the operations of a transportation system.

5 Internet of things Connect and Control Devices 94% Of w3.ibm.com/bluemine companies believe the IoT will impact global markets over the next three years. Ericsson *Internal use inly unless otherwise stated Solutions To Exploit The Potential Collect and Manage IoT Data Accelerating advances in technology Advanced analytics Cloud computing And transforming every part of business Improving operations and faster response Pervasive connectivity Creating new planning and business models Prepare and ACT Understand and Analyze Data Product Lifecycle Management Embedded sensors Driving engagement and improvement experience IBM Confidential Copyright IBM Corporation

6 Ecosystem Partners IBM The IoT value Chain Connectivity & Security technology Connectivity & Security technology Connectivity, Security and edge analytics Relationships & reach Cloud platform innovation platform IoT services IoT Industry solutions Transportation expertise Silicon IoT Devices Gateways Networks Cloud Solution & Applications Retail Insurance Automotive Aviation Life Science & Healthcare Energy & Utilities Electronics Transport & Rail Industrial Manufacturing Need for partnerships across the IoT value chain to provide end-end IoT solutions Silicon, sensors embedded OSes IoT devices & recipes for connecting them Gateways for connecting them Wireless Cell Network partners End-end IoT solution Additional value add scalable cloud services System Integrators 3 rd party client solutions on IoT technology platform

7 The rapid evolution of Technology.. what to do? Inexpensive sensors Internet of Things (IoT) Computing power Cloud Mobility Social Big Data & Analytics Cognition Open Platforms Privacy & Security 7 The way information technology is adopted and consumed is changing All coming together to create a perfect storm

8 Your digital intelligence is your competitive advantage Data you + Data outside + possess your firewall Historical records Transactional systems Predictive models Institutional expertise Operational systems News Events Geospatial Weather Social media Data that s coming Internet of Things Sensory data Images Video Audio Textual Structured and active Unstructured and dark 8

9 Cognitive systems are fundamentally different from what you have today Understand Adapt and make sense of all data; read text, see images and hear natural speech with context Reason Learn Interpret information, organize it and offer explanations of what it means, with rationale for the conclusions Accumulate data and derive insight at every interaction, perpetually 9

10 Connected Vehicles Connected vehicle innovations can be classified into four functional areas: Telematics, Advanced driver assistance systems (ADAS s), Info-tainment and Mobility Services. Traffic & navigation Traffic information Traffic prediction Route Optimization Multi-modal route planner e-intelligent driving Road warnings Congestion alert Driver status Parking Connected Fleets Asset Management Real and Predicted Maintenance Fleet as Condition Sensor Geo Spatial Assets SOGR Environment protection Public transport Vehicle usage Emissions Driver Behavior Communication/ collaboration Group tracking Inter-agency Collaboration Emergency & safety Emergency assistance Congestion Evacuation Safety alert Industry solutions Fleet management Taxi management Life cycle management IBM Confidential Copyright IBM Corporation

11 Instrumented, Intelligent, Integrated Structural Models Sensors Portal Vibration, Moisture Choice if sensors depends on the specific use-case: Moisture and crack detection in tunnels Multi-point strain and vibration measurement in large bridges Movement of embankments and joint movement in small/medium bridges Data is ingested from sensors directly via MQTT or web service The structural model is applied to acquire current structure condition Predictive models are applied using maintenance, weather and structure data Portal is the user interface for: Bridge/ tunnel/ embankment condition and predictive health Network and device management Will handle multiple sensors IBM Confidential Copyright IBM Corporation

12 Royal Albert Bridge: Measuring vertical displacement Takeaways: Providing unique data not available from visual inspections Quickly deployed solution getting data back from sensor within 30 minutes of being on site Tests asset design models/expectations Output lead to validation of current load limit and maintenance plan IBM Confidential Copyright IBM Corporation

13 Bus Sensor Data Automation & Analytics OBD CANceiver GPAC System Kit CAN Module CONFIDENTIAL & PROPRIETARY 13

14 IoT Data Automation & Analytics Value Service Reliability Know when buses are getting sick much sooner Decreased in-service breakdowns and increased on-time performance percentages Establish early failure predictors with higher frequency data Get alerts when sensor data approaches or exceeds thresholds Enhanced reliability and more bus service up time Predictive Maintenance Optimize mechanic productivity and proactive maintenance Improve comparative analysis predictive capability over time Stay ahead of crucial and costly repairs CONFIDENTIAL & PROPRIETARY 14

15 IoT Technology Implementation approach Top-down business driven approach Organizational obstacles, not data or financial concerns, are holding back adoption in our experience Identify and prioritize use-cases to be addressed based on Business Value. Address one or more pain points, grow by taking a stepped approach Leverage Analytics as a Service to implement those critical business needs in a common approach leveraging standard software, assets and best practices Identify and assess Data Elements to be leveraged in the context of these business needs Ensure security governance and build into process and vendors at all levels. IBM Confidential

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