A technology and software company is helping its customers move faster and more efficiently from older technology to a modern DeltaV™ automation architecture that modernises and digitises operations. The software solution uses cloud computing and artificial intelligence (AI). This allows up to 70 percent of system configuration to be automated, reducing errors and manual changeover work and lowering capital costs by up to 15 percent.
Companies that want to modernise their control and safety systems often start with decades-old code. This must be converted to the current software. Manual conversion and documentation is a tedious process. It drastically increases the time and capital required for such projects.
The software combines an extensive knowledge base from similar modernisation projects with Emerson's experience library. In this way, continuously updated AI models can be developed. For the software, each modernised control system means input that generates learning algorithms that become smarter and faster as they transform older code.
Worldwide access
Project teams are already informed about the technical requirements by the AI used before migration projects begin. This facilitates planning. The AI engine analyses native files from existing decentralised process control systems, safety-related system instrumentation or backups of PLC controllers. It uses a global library of thousands of successful projects to sort, select and automate technical tasks. The modernisation project is automatically fully documented and essential parts can be generated in the DeltaV control system. Thus, the latest functions are available and modern standards are applied.
Project teams worldwide have access to the latest functions and libraries of this secure, cloud-native tool. And with embedded machine learning, libraries grow and improve as projects become more efficient over time.
