Automatic analysis of a combustion process based on computer vision

Automatic analysis of a combustion process based on computer vision
Vyncke is a Belgian family-owned company active in the development and production of renewable energy solutions since 1912. The company has grown into a world leader in biomass energy systems and has a total of more than 400 employees around the world. Vyncke uses biomass combustion to make power plants. The company starts from an existing waste stream and exploits it by burning it and recovering the energy present. Preferably, the recovered energy is reused on site to create a closed loop.
It is very important for Vyncke to keep innovating and to take on challenges that the competition does not yet dare to take on, because competing on price is not sustainable. Automation often plays a crucial role here. To make the biomass combustion process measurable and digitisable, Vyncke collaborated with Flanders Make through a feasibility study.
The aim was to make the process more objective, as it currently depends mainly on operators' interpretation based on experience.
‘With smart vision systems, we are capturing and digitising biomass combustion.’
Vyncke
What did Flanders Make do for Vyncke?
Vyncke and Flanders Make's feasibility study resulted in the development of a software programme that uses computer vision and algorithms to interpret images of the fire scene. This can eliminate the subjectivity of manual analysis. Vyncke is now working on building a database that may enable AI applications in the future.
Vyncke is very satisfied with the developed code that is now effectively implemented. Data capture is also currently being carried out, after which the data stream should be analysed and correlated to see if it meets expectations. Through this development, Vyncke can now better understand the complex combustion process, which is a very important competitive advantage for them as this is their core competence.