A bionic approach for high-efficiency sensor data processing in building automation

Today´s building automation shifts from simple applications like controlling illumination and temperature towards complex applications like the observation of buildings for safety and security reasons or increasing the occupants´ comfort. Complex applications require more and more sensory information. Existing approaches of sensor data processing cannot cope with these demands. In this article, we present a new, bionically inspired approach for coping with such a huge amount of diverse sensory information. For this purpose, an information processing principle called neuro-symbolic information processing is introduced which bases on neuroscientific and neuro-psychological research findings about the perceptual system of the human brain.