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.

• Discover behavior patterns
  Building operators and users have individual requirements. PREDICTIVE INTELLIGENCE Solution for Smart Building discovers these behavior patterns, even in highly dynamic environments.
• 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.
• 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:

NTT Facilities

Failure Prediction For Critical Air-conditioning System

LG: Predictive Heating/Cooling

Adaptive Hotel Solution to Minimize Energy Costs

Hager Group

Predictive Building Control

Hotels: Reduced Operating Costs

Innovative software reduces heating costs > 10 %

Guided AB

Predictive and self-learning house automation

EnBW

Flexible Heat Power