Real-time optimization
of a cement mill

Leading manufacturer of cement powder​

Objective

A leading producer of cement powders wanted to make sure the grinder was always operating at 100% efficiency even when switching from one recipe to another. By monitoring sensors at different stages in real-time, an AI agent is able to quickly adjust machine set-points to meet this requirement.

Methodology

Making use of reinforcement learning

Giving an AI agent control over proportioning equipment & the grinding mill, we removed bottleneck for the production line.

Sensor data-based
optimization of setpoints

Impact

“We built a digital twin of this process to act as an environment for the RL agent. The task of the agent is to produce as much high-quality output material as possible.”
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