Feature: Industrial electronics


Embracing the edge in industrial settings By Johan Jonzon,


CMO and Co-Founder, Crosser


E


dge computing is data processing done at or near the devices that are generating the data. Typically, the data collected from machines or devices would be sent straight to a local data centre for storage and analysis. But, now, enterprises want to leverage that data using


big-data analytics and extensive cloud services, which raises concerns about the security, latency, bandwidth, costs and reliability of the entire data chain. These concerns are magnified for facilities with a high


number of devices transmitting data at the same time. A large number of devices working simultaneously generate a massive amount of data. Instead, edge analytics can form a bridge between the devices and the cloud or data centre, providing a local source of processing and storage. On-premise analytics can collect and filter data, storing or sending it to the correct location based on abnormalities, business rules and algorithms. Only the necessary data is sent to the cloud or data centre, enabling large savings in bandwidth and cloud service costs. What’s more, the real-time ability at the edge can leverage


automatic changes to production according to a pre- determined algorithm, or be evaluated by equipment operators and facility managers to make informed decisions.


Edge analytics can form a bridge between devices and the cloud or data centre, providing a local source of data processing and storage


34 December 2021/January/2022 www.electronicsworld.co.uk


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