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IntelliSense.io

IntelliSense.io. Beyond the hype - Real World Applications / Solutions of Internet of Things. What is IoT ?. S mall packets of data to a large set of nodes, so as to integrate and automate everything from home appliances to entire factories IEEE Spectrum 1994.

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IntelliSense.io

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  1. IntelliSense.io Beyond the hype - Real World Applications / Solutions of Internet of Things

  2. What is IoT? Small packets of data to a large set of nodes, so as to integrate and automate everything from home appliances to entire factories IEEE Spectrum 1994 The Internet of Things (IoT) is the network of physical objects accessed through the Internet, as defined by technology analysts and visionaries. CISCO 2014 ….the concept of basically connecting any device with an on and off switch to the Internet (and/or to each other) FORBES 2014 inanimate objects interact, potentially independently, with each other and with their environment MORGAN STANLEY 2014

  3. Gartner Hype Curve 2014

  4. Industrial IoTvs Consumer IoT vs

  5. Industrial IoT in 2014 • Industrial IoT Today • Sensors in Place • Ethernet / Network connectivity in place • Factory Control Systems in place

  6. IoT Challenges Data in SILOS Security (related to data storage & residency) Multiple user types with different requirements

  7. IoT’s Impact on Industrials 80% of energy / opex is generated from 20% of systems

  8. IoT Application Mining Industry Well Effectiveness Injection & Extraction wells Well Efficiency Recovery wells & Pump stations Risk Control Monitor wells & Transportation piping Environmental H&S • Pressure • Inlet/Outlet Generation - WSN • Activity • Running cycles • Flow Capacity • Temperature • Energy • Load Injection well as case example.

  9. IoTApplication Process Industries • Utility Generation Systems: Optimise air, gas, water systems • Distribution: track air leakage in distribution • Consumption: Factory productions systems

  10. IoTApplication Common Themes • IoT impact on industrials can make them efficient and sustainable • It is not the technology, but what “Use Case” it supports is what matters? • Traditional processes and factories have: • Local control and supervisory systems (INTEGRATION) • Only Instrument assets where data is not available (INSTRUMENTATION) • Predict performance based on correlations (BIG DATA) • An intuitive user interface to implement and track optimisation (HUMAN COMPUTER INTERFACE)

  11. Key Takeaways • Data is increasing exponentially • 90% of all the data that has ever existed • was created in the last 2 years • Potential global industrial savings are vast: • 1% efficiency gains in Oil & Gas • = $90Bn reduction in CapEx • CAMBRIDGE leading the way with • IntelliSense.ioplaying it’s part

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