When buildings become intelligent as a system
SmartLivingNEXT creates the federated data infrastructure for AI-based, sustainable living environments.
Buildings and technical building systems are technically mature today. Heating, energy, security, comfort and automation function reliably and have been continuously optimized over the years. These systems are stable, proven and highly efficient locally. At the same time, the framework conditions are changing fundamentally. Dynamic energy markets, increasing regulatory requirements, new mobility needs and the growing use of artificial intelligence mean that buildings can no longer be viewed in isolation. Added value, efficiency and controllability are increasingly being created through the interaction of many buildings, systems and players. The key bottleneck here is not the available technology, but the lack of a structural connection between existing systems. Historically grown architectures are designed for local optimization and reach their limits where scaling, reuse, cross-sector use or AI-supported services are required.
This is precisely where SmartLivingNEXT comes in.
SmartLivingNEXT is an AI-based, federated data ecosystem for the smart living domain. It is not a new building automation system, product or central platform, but a manufacturer-neutral data infrastructure that enables the secure, purpose-specific and interoperable exchange of data across existing systems and buildings. At its heart is a secure access point to relevant data in residential buildings. The underlying semantic dataspace concept leaves data in its original environment and at the same time creates the conditions for making this data usable across systems. This allows proven digital technologies already in use in residential buildings to be integrated, combined and reused – without replacing existing systems.
On this basis, SmartLivingNEXT provides the community with AI-supported basic services for data analysis, forecasting and pattern recognition. The necessary catalogs, tools and connectors are being developed in the ForeSightNEXT flagship project. Six other SmartLivingNEXT projects are conducting parallel research into the implementation of specific use cases, particularly in the areas of energy and assistance, and it is not the individual building that is becoming “smarter”. The system in which buildings interact with each other becomes intelligent. SmartLivingNEXT thus creates the basis for scalable services, new business models and cost-effective real operation of intelligent buildings in a network.
SmartLivingNEXT is a call for funding applications carried out by the Federal Ministry of Research, Technology and Space (BMFTR) on the basis of the “Development of Digital Technologies” funding program. Funding of around 25 million euros is available in the overall program.
SmartLivingNEXT – The first universal and AI-based ecosystem for all digital smart living services according to European values.
Whitepaper SmartLivingNEXT
The white paper contains the guideline and reference framework for the future technical development of the SmartLivingNEXT Dataspace and the desired governance structure. It was created with the collaboration of teams from German Research Center for Artificial Intelligence (DFKI), the Research Association for Electrical Engineering at ZVEI e.V., Ludwig-Maximilians-Universität München (LMU) and Materna Information & Communications SE. You can have the white paper sent to you as a PDF. Please contact our project office at projektbuero@smartlivingnext.de.
Smart living on course for growth
97
Millions of European households will use smart living applications by 2025.
180
Global sales from Smart Living will amount to billion euros by 2025.
Figures based on data from the German Federal Ministry for Economic Affairs and Climate Action (BMWK)
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Become a partner of SmartLivingNEXT
Associated partners accompany SmartLivingNEXT throughout its entire duration and actively support the objectives of the call for funding applications. Numerous companies and institutions have already expressed their interest in participating as associated project partners.