Case Study: Yokogawa Electric Corporation achieves autonomous plant control and energy savings with Valin Corporation and FKDPP AI

Yokogawa Electric Corporation cuts settling time 50% to 70% with Valin Corporation

Yokogawa Electric Corporation, a global industrial automation provider, faced the challenge of automating complex plant processes that could not be controlled by conventional methods like PID or APC, necessitating difficult and costly manual valve adjustments by personnel.

Valin Corporation's case study details how Yokogawa developed and implemented its Autonomous Control AI service, powered by the FKDPP reinforcement learning algorithm, to directly control these challenging processes. The solution, deployed at its Komagane plant and an ENEOS chemical plant, achieved stable autonomous operation for over 35 consecutive days—a world first—resulting in improved product quality, significant energy savings, and the elimination of off-spec production losses.

Yokogawa Electric Corporation