Generative artificial intelligence (AI) can be used not only to write new programming for machine operations, but it’s able to convert and document code in industrial manufacturing processes.
Emerson’s Revamp cloud-based software is designed specifically to allow plants to modernize legacy technology to DeltaV automation architecture that digitizes operations. Revamp uses AI to automate system configuration, reduce errors and mitigate manual conversion work.
The applied AI in Revamp informs project teams of the engineering requirements before migration projects begin. The AI engine analyzes native files from the existing distributed control systems, safety instrumented systems or programmable logic controller backups while using a global library of projects to sort, select and automate engineering tasks. The modernization project is automatically fully documented, and significant portions can be generated in the DeltaV control system.
Organizations seeking to modernize control and safety systems often start with decades-old code that must be transitioned to current software. Manually converting and documenting this code is an arduous process that dramatically increases the time and capital requirements for these projects.
Emerson’s Revamp combines a knowledge base from similar modernization projects with Emerson’s experience library to develop continuously updating AI models. Each modernized control system feeds back into the cloud-based Revamp software, creating learning algorithms that perpetually get smarter and faster at converting legacy code.
“Modernization projects too often surprise teams late in the process with cumbersome, unanticipated work and errors from manual conversion,” said Claudio Fayad, vice president of technology for Emerson’s process systems and solutions business. “Emerson's Revamp helps project engineering teams modernize their systems more easily, on time and within budget, while also minimizing errors and disruptions to production.”
