Spiro MPC is a multivariable model predictive control application. The application comes embedded on a small footprint edge device, designed to connect to any control system easily. When embedded with Spiro MPC, the edge device is able to automate control of connected assets and can maintain processes at their optimal operating point.

Spiro MPC employs highly efficient state space control algorithms which achieve millisecond execution frequency. By continuously monitoring and analysing sensor data, Spiro MPC can calculate and execute the optimal set of control moves needed to move a process to its most profitable limits.

In addition, support for cloud platform integration through the Industrial Internet of Things (IIOT) makes the solution future ready.

Using a model of the process together with sensor data captured by the edge device, Spiro MPC can map where a process is going and predict the impact that anticipated disturbances will have on your operation. Using this predictive information together with knowledge of operational constraints, Spiro MPC effects actions that minimise the impact of disturbances while also moving the process closer to the economic optimum point.

The benefits delivered by Spiro MPC all ultimately translate to increased profitability. Typically a full return on investment is achieved within 3-6 months.