Computational moisture model

Real-time computational moisture content data

By systematic sampling, we have been able to create a real-time computational moisture model for wood-based materials. With the model, the moisture and energy content of incoming biomass loads can be predicted reliably without an actual moisture measurement.

During several years, Prometec has collected important load-specific quality measurement information of biomass loads. Meanwhile, Q-Robot has collected comprehensive process data of both sampling and the loads. The model combines these pieces of information into data that can be used, for example, in optimizing and conducting logistics, inventory balances, processes, and supply chain of industrial plants.

We are constantly developing the model, and it can soon be applied in new geographical markets and new feedstock types. In the future, commercial solutions for moisture content measurement and particle size analysis can also be integrated into the Q-Robot.

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