Emerson's Revamp advanced software uses cloud computing and AI to automate up to 70% of system configuration, which reduces errors and manual conversion work.

The system combines an extensive knowledge base from similar modernisation projects with Emerson's experience library to develop continuously updating AI models.

That creates learning algorithms that get smarter and faster at converting legacy code.

Emerson vice president of technology Claudio Fayad said modernisation projects often surprised teams late in the process with cumbersome, unanticipated work and errors from manual conversion.

"Emerson's Revamp helps project engineering teams modernise their systems more easily, on time and within budget, while also minimising errors and disruptions to production," he said.

"The applied AI in Revamp informs project teams of the engineering requirements before migration projects even begin, making planning easy."

Fayad said the AI engine analysed native files from the existing distributed control systems, safety instrumented systems or programmable logic controller backups while using a global library of thousands of successful projects to sort, select and automate engineering tasks.

He said the modernisation project was fully documented automatically, and significant portions could be generated in the DeltaV control system, enabling the latest capabilities and using modern standards.

"Emerson project teams around the world have access to the most recent functionalities and libraries of this secure, cloud-native tool," Fayad said.

"And with embedded machine learning, the libraries grow and improve as projects become more efficient over time."