About the project
GUIDED-AB addresses in particular the collaborative development of intelligent autonomous systems in intelligent environments that interact with each other (M2M) and with users via intelligent networks.
Details
The object of research is the improvement of energy efficiency, comfort, safety and quality of life through intelligent building and home networking with a dual-reality service and assistance platform for autonomous, networked and resource-efficient residential buildings (smart buildings) with a high degree of individual service and user integration.
Resource-efficient, smart buildings are technologically very complex systems and place high demands on the home networking and building automation addressed in the tender, on the internal and external networkability of the control components, on the degree of individual functional flexibility, on the operating concepts and on the configuration options. In addition, intelligent, self-learning systems are required that autonomously configure and control heating, air conditioning, lighting, monitoring and multimedia systems based on usage patterns, specific usage scenarios and the respective environmental conditions, while at the same time giving users greater scope for influence than they have today. According to the solution approaches of hybrid value creation, this opens up a wide range of competitive advantages as well as efficiency and value creation potential.
Only a few of the aforementioned aspects, in particular those relating to human-technology interaction (HTI), are implemented to some extent by current building automation systems. Using mobile smartphones and tablet PCs as an interaction medium has so far only led to a shift of the classic user interface to another medium.
Unfortunately, their operation offers the user few advantages in practice. There is no overall concept for fully exploiting the advantages offered by autonomous, comprehensive building automation. In addition to optimizing energy consumption, there are functions in the area of "ambient assisted living" that require comprehensive networking and configurability without the need for a technician to intervene in the configuration. For example, the user should be able to use the assistance system to activate the relevant ambient assisted living services at the touch of a button if a family member falls ill or needs care.
With the help of presence and geolocation functions, the building interacts with its residents via all devices connected to the assistance system and automatically configures them according to the wishes of its residents.
Hager Electro GmbH & Co KG (consortium leader), German Research Center for Artificial Intelligence GmbH, INTERACTIVE Software Solutions GmbH, IS Predict GmbH, QBUS eNET GmbH & Co KG, Scheer Management GmbH