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IoT
One of the new challenges arising with the use of edge, fog, and cloud architectures is the connection of components to each other and to the public cloud. An important element of developing a solution capturing all pieces is the IoT framework susietec
At the field, or edge level, data is collected by industrial computers, e.g. by gateways, which process, filter, analyze and act on these data in real-time right at the device.
Edge, fog and cloud applications demand increasing computing power. The interfaces to sensors or machines often require non-standard solutions. Especially in smaller machines, space is limited or restricted in some dimension and need a special solution.
Today, the connection from the sensor device to the embedded cloud takes place via real-time data communication, on sensor and edge level - for example Industrial Ethernet or fieldbuses - and gateways , which provide the transformation of real time data into the informational area.
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Use Case
Autonomous Underwater Vehicle
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Kontron has supported Club S.O.N.I.A (Systeme d' Operation Nautique Intelligent et Autonome) from the Ecole de technologie superieure (a Technical University) in Montreal, Canada, in the development of autonomous underwater vehicle. Now based on the Kontron ETX-CD computer-on-module paired with a PC/104 compatible carrier board from one of Kontron's Certified Design Partners, Club S.O.N.I.A. has been able to develop a sub with greater processing and decision-making capabilities as well as lower power consumption, reduces total solution weight, improved mobility, and more. The newly designed sub is anticipated to perform even better than its JREX SBC predecessor that was ranked third world wide when competing in the AUVSI and ONR's International Autonomous Underwater Vehicle Competition. (Team S.O.N.I.A is the source of these images)
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