Mid-term review 2024: SmartLivingNEXT is fully on track.

Since the start of the technology program at the beginning of August 2023, the SmartLivingNEXT flagship project, led by consortium partner Materna, has developed a Dataspace Blueprint that has been successfully rolled out at DuITeasy after less than a year. This enables the project to set up its own assistance dataspace (ADS) including intelligent applications and basic services. This ADS contains all the data, interfaces and systems required for assistance services. The first data is already flowing into the Dataspace via connected test apartments from easierLife. Load tests are now being carried out to determine the influence of devices on system capacities and the resource consumption required for this. In addition, general deployment processes have been standardized and optimized so that all SmartLivingNEXT projects can build their own use cases based on the Dataspace Blueprint.

SmartLivingNEXT simplifies programming and onboarding

The SmartLivingNEXT Toolbox was also made available as part of the provision of the Dataspace Blueprint. It currently contains 14 basic services and services for developers that are intended to simplify and accelerate the programming of intelligent services and applications in the technology program. In addition, partners in the technology program have been able to order a comprehensive system concept from the project office since the end of the second quarter. It focuses on the SmartLivingNEXT Dataspace as the central component of a smart living ecosystem. Because the SmartLivingNEXT Dataspace can only be used sensibly in conjunction with the other components of the Smart Living ecosystem, this document also describes the artifacts of the SmartLivingNEXT Toolbox.

Enrichment with data: semantics further developed

The semantics from the previous ForeSight project were further developed in the SmartLivingNEXT flagship project. Approaches for embedding non-semantic data in a semantic environment were investigated in a locally set up test environment. The lead project consortium partners German Research Center for Artificial Intelligence (DFKI) and Materna carried out an evaluation of ontologies for describing building parameters and energy consumption as well as a comparison of the ontologies with a sample data set. The result is an initial exemplary description of the available data based on the ontologies selected.