Emerson is helping customers more quickly and efficiently transition legacy technology to modern DeltaV™ automation architecture. Accordingly, this promotes modernization and digitalization of operations. 

Emerson’s REVAMP advanced software solution uses cloud computing and artificial intelligence (AI) to automate up to 70% of system configuration. Thus, reducing errors and manual conversion work, and slashes capital costs by up to 15%.

“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.”

Simplifies, Speeds Transitions

Organizations seeking to modernize control and safety systems often start with decades-old code, which is necessary to transition to current software. Manually converting and documenting this code is an arduous process. Hence, dramatically increases the time and capital requirements for these projects. 

Emerson’s REVAMP advanced software combines an extensive 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 REVAMP software, creating learning algorithms that perpetually get smarter and faster at converting legacy code. 

The applied AI in REVAMP informs project teams of the engineering requirements before migration projects even begin, making planning easy. The AI engine analyzes native files from the existing distributed control systems, safety instrumented systems, or programmable logic controller backups. At the same time, using a global library of thousands of successful projects to sort, select, and automate engineering tasks.

For that reason, the DeltaV control system can fully document and generate significant portions of the modernization project. Thus, 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. Furthermore, with embedded machine learning, the libraries grow and improve as projects become more efficient over time.