Living life on the edge - Thingmonk 2016

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  • Living life on the edge.Martin Gale Master Inventor and CTO for Industrial Sector, IBM UK and Ireland

    @martinjgale

  • In the beginning, we did things the hard way.

    Most expensiveLeast expensive

  • Connected sensors moved the boundaries of enterprise systems and the edge became a thing.

    Remote sites Headquarters

    e.g. MQTT

    Edge of the network

  • 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.

  • Capable devices, capable edge.

    HeadquartersRemote sites

    e.g. MQTT

    Shift towards actionable insight. More efficient use of comms.

    Autonomy of remote sites. More possibilities.

  • What we do at the edge varies in complexity.

    Complexity

    Filtering/aggregation

    Media analytics

    Com

    pute

    pow

    er Stream analytics

    Data mediation and flow control

    Application/device

    integration

  • Very few IoT reference architectures break the edge down.

    Control Code Local applicationsAnalytics Models

    Sensor SDKs Back-end SDK

    Application Runtime

    Wide Area Network

    Local Area Network

    Assets

    Sensors and Actuators

    Loca

    l Mon

    itorin

    g an

    d

    Man

    agem

    ent

    Rem

    ote

    Mon

    itorin

    g an

    d M

    anag

    emen

    t

    Phys

    ical

    Sec

    urity

    Devic

    e Pl

    atfo

    rm

    Secu

    rity

    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?

  • 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

  • In manufacturing, halted production costs big money.

    Many manufacturers only know when production will halt when it happens!

    per minute10ks 5-10

    minutes a day

  • Incremental use of the edge helps reduce risk of lost production.

    Spot the trend and automatically

    respond

    Understand the trend and its context

  • 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 nights planned

    maintenance window

    Re-routes high priority work order to another cell in

    the meantime

  • Thank you!