Rapid deployment of IoT connectivity, data collection, and applications.
This solution use case, provided by Recogizer Analytics on the MindSphere® platform, enables automated, predictive control of HVAC systems to improve energy efficiency.
For the perfect control strategy, all individual influences on energy consumption of the specific building are taken into account: weather, occupancy use and opening hours as well as complex plant contexts. With current measurement data and forecasts, cutting-edge AI algorithms continually learn and adapt more and more precisely to the building and its respective energy demand. As a result, HVAC systems operate at the most efficient levels to achieve desired comfort level within managed facilities and rooms.
The application is the perfect extension for every Building Management System, can be implemented fast and pays off very quickly.
Algorithms based on artificial intelligence allow customers to reduce the energy consumption and CO2 emissions of heating, ventilation, and air conditioning systems by more than 20%. HVAC Control is a self-learning system that improves comfort in buildings while reducing energy consumption – 24 hours a day, 7 days a week.
Recogizer Analytics offers a range of professional services to deploy this solution, depending on your needs, and accelerate your digital transformation. Services may include consulting, implementation, integration, customization and training.
MindAccess™ IoT Value Plan connects your assets and uses MindSphere applications to leverage your data.
MindService® offers training and professional services to support the development and implementation of your MindSphere solution.
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