In a World First, Yokogawa’s Autonomous Control AI Is Officially Adopted for Use at an ENEOS Materials Chemical Plant
This is the first example in the world of reinforcement learning AI being formally adopted for direct control of a plant*2.
- This is the first example in the world of reinforcement learning AI being formally adopted for direct control of a plant*2.
- By eliminating the production of off-spec products, the autonomous control AI reduced fuel, labor, and other costs, and made efficient use of raw materials.
- While producing good quality products that met shipment standards, the autonomous control AI reduced steam consumption and CO2 emissions by 40%*4 in comparison to conventional manual control.
- To promote plant autonomization, on February 27 Yokogawa launched the provision of an autonomous control AI service for edge controllers*5, also a world first*6.