Edge, Fog and Cloud clarified

Tim Foreman
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The quote on the desk of Tim Foreman in his office at the European R&D headquarters reads: "If you want to go fast go alone, if you want to go far go together".

What do the terms Edge, Fog and Cloud mean in relation to artificial intelligence in industrial manufacturing? They are actually different layers of the Industrial Internet of Things (IIoT). Here is a quick overview on how we at Omron describe these terms in relation to AI, using an analogy with a nervous system.

Edge: Spinal reflex AI

You can compare data mining at the Edge to a spinal reflex. Lines and devices are monitored with real-time sensors and data on the machine level can be processed in microseconds. You can monitor a machine condition real-time but the data volume is limited. Real-time data processing at the Edge enables an immediate response on an abnormal situation in a process. With AI at the Edge, manufacturers can control complexity and security. Of course, technology is required that offers seamless integration to the Cloud directly from the machine controller with embedded secured IoT protocols. To translate information into action, manufacturers need efficient control and monitoring for a more natural, proactive relationship between operator and machine.

Fog and Cloud: Cerebral AI

A fog environment puts intelligence at the local area network (LAN). Fog computing, includes the data processing, storage and networking technology that sits beneath the Cloud. Big Data mining in the Cloud can be called ‘Cerebral AI’, as Cloud resources allow manufacturers to analyze data, collected from an entire factory over several years. However, communication between the manufacturing floor and the Cloud requires seconds to minutes of processing time. This also requires open and secure standards such as the MQTT protocol and the OPC UA communications standard for safe and easy transformation of machine and system data into high value information. Reacting to tiny process deviations in microseconds is impossible for AI in the Cloud.

Have a look at this overview for a visualization, and see our AI at the Edge solution in action at Hannover Messe!

 

Achieve real-time AI at the Edge with Omron’s Sysmac AI Controller for reduced downtime and preventive maintenance. Omron’s Sysmac Studio brings together all areas of automation including: logic, motion, vision, safety and visualization. This helps companies increase productivity in a very flexible way.

 

Tim Foreman
Written by
Tim Foreman

The quote on the desk of Tim Foreman in his office at the European R&D headquarters of Omron in Den Bosch reads: “If you want to go fast go alone, if you want to go far go together”. Omron’s European R&D Manager is a team player who really feels at home in the international and multicultural environment at Omron, where he started back in 1993 as a Software Engineer. ‘I had just finished my PhD on “Bottom quark production at the Z resonance” after being involved at CERN (European Organization for Nuclear Research) in Geneva on behalf of the Dutch National Institute for Subatomic Physics-Nikhef’, Tim explains. ‘During that period I experienced the dynamics of working in an international setting. Omron offered me the chance to continue that experience. Furthermore, the high ethical standards of Omron and its mission to develop new technology that benefits society really appeal to me.’ ‘At Omron I was able to put my skills obtained by my PhD and MSC in Physics from Utrecht University to practice. I held a variety of positions from Project Leader, and Group Leader to Development Manager’, Tim adds. In 2007 he was appointed to his current position as European R&D Manager. His passion for innovation resulted in contributions to three European patents and many new product developments.