Living life on the edge - Thingmonk 2016


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Presentation given at Thingmonk 2016 (13th September) on the importance of the edge of network in the Internet of Things in the context of industrial and manufacturing.

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Living life on the edge - Thingmonk 2016

  1. 1. Living life on the edge. Martin Gale Master Inventor and CTO for Industrial Sector, IBM UK and Ireland @martinjgale
  2. 2. In the beginning, we did things the hard way. Most expensiveLeast expensive
  3. 3. Connected sensors moved the boundaries of enterprise systems and “the edge” became a thing. Remote sites Headquarters e.g. MQTT Edge of the network
  4. 4. There are some important factors we learned from this. Impact on enterprise systems design and capacity The cost of remote communications Latency between sense and respond. Good old fashioned common sense.
  5. 5. Capable devices, capable edge. HeadquartersRemote sites e.g. MQTT Shift towards actionable insight. More efficient use of comms. Autonomy of remote sites. More possibilities.
  6. 6. What we do at the edge varies in complexity. Complexity Filtering/ aggregation Media analytics Computepower Stream analytics Data mediation and flow control Application/ device integration
  7. 7. Very few IoT reference architectures break the edge down. Control Code Local applications Analytics Models Sensor SDKs Back-end SDK Application Runtime Wide Area Network Local Area Network Assets Sensors and Actuators LocalMonitoringand Management RemoteMonitoringand Management PhysicalSecurity DevicePlatform Security Device Device installation and maintenance Device and asset management Technology Organisational Who can access the running box? How? Who installs and fixes the device? How do we apply fixes remotely? What do we build our applications out of? What type of device is really needed?
  8. 8. The edge applies to multiple areas of “Industry 4.0”. Flexible manufacturing Internet of People and Things Autonomous systems Analytics and cognitive Internet of services
  9. 9. In manufacturing, halted production costs big money. Many manufacturers only know when production will halt when it happens! per minute £10ks 5-10 minutes a day
  10. 10. Incremental use of the edge helps reduce risk of lost production. Spot the trend and automatically respond Understand the trend and its context
  11. 11. A hybrid of analytics on the cloud and edge enable a smarter factory. sound, vibration, temperature Synthesis of readings indicates head will break within 24 hours Triggers creation of work order for that night’s planned maintenance window Re-routes high priority work order to another cell in the meantime
  12. 12. Thank you!