Predictive Building
Digitalization does not stop in front of buildings. Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE discovers needs of building users and equipments, like future maintenance demand for air conditioning systems. Self-learning algorithms optimize maintenance, energy efficiency, comfort, security, building usage and quality of living.
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Discover behavior patterns
Building operators and users have individual requirements. PREDICTIVE INTELLIGENCE discovers these behavior patterns, even in highly dynamic environments.
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Simulate optimum
All possibilities of available building control are simulated in order to reach optimization goals. For conflicting gloas, dynamic conflict resolution strategies are applied.
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Predictive building control
Best strategies for reaching defined targets are realized. Depending on the individual building, this can be automated, for example for energy-efficient control of heating/cooling or for optimal comfort. However, also recommendations are given to building users, such as for predictive maintenance of machinery or how to use office resources most efficiently.
PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in building and machine behavior. Customized algorithms are automatically rolled out to all building and machinery instances.
Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:
Failure Prediction for Critical Air-conditioning System
Adaptive Hotel Solution to Minimize Energy Costs
Predictive Building Control
Flexible Heat Power
Innovative software reduces heating costs > 10 %
Predictive and self-learning house automation
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