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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
Future Perfect: Predictive Maintenance and AI
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Kontron's latest, most powerful Rackmount Server KISS 4U V3 SKX helps realize growing potential of AI-enabled predictive maintenance for energy and industrial automation sectors.
In such capital-intensive and competitive industries as these, power generation and manufacturing industries are increasingly moving away from purely preventative maintenance regimes to the implementation of IoT-enabled predictive maintenance strategies.
Furthermore, energy and industrial companies are increasingly looking to AI and Machine Learning (a derivative of AI) to complement and take their predictive strategies to a whole new level.
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