New embedded edge server technologies for the energy sector

28-08-2019 | Congatec | Subs & Systems

Congatec has introduced a new rugged class of embedded edge server technologies created for the digitisation of the upstream and midstream oil and gas industry. Both sectors are defined by distributed assets and infrastructures in harsh environments and consequently, demand ultra-robust embedded platforms for the digital transformation challenge that provides an enormous potential for cost savings.

"The International Energy Agency estimates that digitisation can reduce production costs in the oil and gas sector by up to 20%. According to auditing and consulting firm PWC, there is great potential for savings through more efficient maintenance and better operation of assets. There is also further potential for savings in the supply chain, through the use of artificial intelligence and integrated platforms that connect organisations with external partners," explains Diethard Fent, manager sales partner EMEA at Congatec.

"By digitising these processes, companies in the upstream and midstream sector can potentially save up to $1 trillion in the capital and operating costs Realising this potential requires extremely robust embedded edge server technologies such as those offered by Congatec. Our IoT and solution-ready system platforms for solution providers, system integrators and end-users are based on these technologies," said Martin Frederiksen, oil and gas computing expert and managing director of Diamond Point.

To satisfy the demands of the upstream and midstream oil and gas industry, the new embedded edge computing platforms are created for extended temperature ranges, with arbitrary conformal coating to shield against the effects of saltwater or condensation produced by large temperature fluctuations. As multicore designs with currently up to six cores and an especially low 25W TDP, they are fit for totally fanless and hence maintenance-free 24/7 operation in hermetically-sealed housings with the highest IP protection classes. Virtual machines based on RTS hypervisor technologies enable optimal utilisation of current computing resources by partitioning the many tasks - including local real-time control demands as well as over Tactile Internet.

SPE Offshore Europe in Hall 1, Stand 1AA62

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