Emerson announced that its DeltaV Automation Platform for Data Centers contains an automation portfolio designed for AI-scale data centers through a unified automation system for the monitoring and control of data center infrastructure. 

The company claimed that its platform combines the thermal, mechanical and electrical sub-systems under a scalable architecture.   

The platform has an integrated automation architecture, which Emerson said can help reduce engineering effort, simplify integration and improve consistency across commissioning, operations and maintenance. 

"Data center performance is no longer defined by individual components alone, but by how effectively critical systems work together," said Nathan Pettus, president of Emerson’s process systems and solutions business. "The DeltaV Automation Platform for Data Centers gives operators the unified visibility and coordinated control they need to commission projects predictably, operate reliably at scale and meet aggressive timelines. It's the foundation that turns speed into sustainable competitive advantage." 

According to Emerson, the platform delivers:  

• Precision control: Real-time monitoring and management of variable loads and cooling optimization, providing equipment level and facility-wide control that adjusts to changing thermal loads. 
• Reliability: Integrated control and operational visibility in the platform can help data center teams detect abnormal conditions earlier. 
• Project expertise: Standardized designs and expertise can help engineering teams reduce execution risk, compress timelines and deliver reliable projects. 
• Continuous improvement: Emerson provides repeatable operating models and continuous intelligence that help data centers optimize lifecycle operations. 

The platform provides a comprehensive automation portfolio including its industry-leading DeltaV distributed control system and DeltaV programmable logic controllers that connect to the DCS for system-wide process control. Both the DeltaV DCS and DeltaV PLCs incorporate context-specific AI technologies to enable data centers to integrate AI optimization models, according to Emerson.