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Intel Global IoT DevFest IV


T13_T1 - Achieving Transformational Business Results with Industrial Edge Condition Monitoring for Video-Based Analytics & Machine Learning


Description

The session will showcase insights into the drivers, solution, and benefits of real-time edge intelligence in a gas refinery, leveraging FogHorn video analytics and machine learning software, combined with ADLINK hardware.

FogHorn, a leading developer of “edge intelligence” software for industrial and commercial IoT solutions will provide a detailed overview on how leading global producers of energy and chemicals can use an Intel RRK Solution including FogHorn’s software for edge computing, real-time analytics, AI and machine learning (ML), combined with ADLINK hardware, to drive enhanced industrial performance for a variety of realworld, industrial use cases.

This session will discuss and demonstrate use cases of flare stack monitoring in a gas refinery, in combination with leading Industrial IoT Cloud solutions. The discussion will break down the challenges leading Oil & Gas companies face with flare stack monitoring, including the number of stacks monitored, limited communications, constrained compute resources, environmental and regulatory compliance goals and tightening maintenance budgets. The session will also share lessons learned to date, and the benefits edge-based analytics, AI and ML technologies offer to improve operational efficiencies, lower maintenance costs, enhance compliance-related activities and improve safety.

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