Closed-loop control
Assembly Line
Achieving robust closed-loop control in remote locations with Kelvin’s edge-cloud communication
In today’s digital landscape, optimizing the performance of distributed assets in remote locations poses unique challenges. Achieving closed-loop control, where real-time monitoring and adjustments are made based on feedback, becomes particularly difficult when reliable and consistent connectivity is not guaranteed. However, with the advent of distributed edge computing, companies like Kelvin are revolutionizing the way we approach closed-loop control in remote areas. In this blog post, we will delve into Kelvin’s innovative edge-cloud communication mechanism and explore how it enables robust closed-loop control of distributed, networked assets in remote locations.
Kelvin, a leading next-gen industrial automation software company, provides artificial intelligence (AI)–powered asset performance optimization software that focuses on the industries of energy (for example, well construction and completions), upstream oil and gas production, midstream oil and gas operations, process manufacturing (for example, chemicals, food and beverages, and pulp and paper), mining and metals, and renewable energy. Multiple global enterprises that operate thousands of assets (e.g. BP, Halliburton and Santos) have used Kelvin solutions built on Amazon Web Services (AWS) to connect, create, and scale advanced closed-loop supervisory-control applications across their operations without needing to rip and replace any of their existing infrastructure.