Projects

2023: Testing an Artificial Intelligence-Based Boiler Filter System Control Process

The aim of the demonstration project is to develop self-learning control algorithms for the electrostatic precipitators of small boilers with non-continuous combustion cycles and different heating materials. The algorithms are expected to significantly improve the functionality of the device, reduce energy consumption and increase environmental friendliness. As a result of the learning functions, the filter controller will tune itself to the user’s behaviour and predict the user’s heating cycles.