With its intelligent AOPSTM software products, Linde – in combination with its deep operational expertise and broad installation base – is paving the way of industrial plants towards self-optimizing systems that can predict changes and autonomously adjust operations in real time.
Instead of relying on manual step tests or predefined models, AI powered AOPSTM software by Linde trains neural networks using historical plant data.
To continuously optimize OPEX, the new reinforced learning agents learn outside the actual plant operations through trial and error, adjusting control variables to maximize rewards such as energy efficiency, product yield, and operational stability.