Daniel Neal

Linde’s global standardized automation model, including global remote control centers managing hundreds of plants, have challenged conventional automation principles over the past 30+ years. This shift has unlocked new automation potential and delivered significant OPEX savings, giving Linde a competitive edge.

This presentation explores how advancements in computing power, AI/ ML technology, and modern instrumentation paved the way for autonomous plant operations to be what it is today for Linde. Routine tasks traditionally performed by human operators are now automated and standardized across all DCS platforms, accelerating project delivery and allowing personnel to focus on higher-value activities. Machine learning now augments Linde’s model, enabling autonomous modes for complex decisions traditionally made by DCS consoles operators.

By integrating advanced automation technologies, Linde’ transformation has optimized human capital, enhanced ROI, and achieved substantial OPEX improvements—all while maintaining strong cyber security and functional safety. This approach empowers businesses to fully realize the benefits to realize more from autonomous operations, driving profitability, throughput, reliability, and long-term competitiveness.