Smart Building

Building Intellligence

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Smart building from the inside

Digitalization is one of the biggest factors in the success of industrial companies. In the industrial environment, this transformation is known as Industry 4.0 and it describes the digitalization of production. Added value and benefits are created by networking processes. It becomes possible to interpret all available data and optimally utilize data and resources in applications. 

In buildings where numerous trades, such as facades, electricity, and heating, need to be integrated, a platform is required to exchange information in the building Internet of Things (building IoT). The building is not turned into an automaton with rigid trade functions, instead it becomes an interactive assistance system for the people who use and operate it, and it can be extended with individual smart functions as desired. New and innovative operator concepts are created that strike the perfect balance between individual demands for comfort and the expected benefits.

What is a smart home and what is a smart building?

Smart Home

The term smart home refers to the communicative networking of the integral building services and appliances of a residential building. The occupants achieve a higher level of comfort through the use of smart functions: for example, they can control and adjust the lighting, room automation, and heating individually.

In addition to controlling the integral building services, occupants can also communicate with consumer products and appliances. Whether it's mowing the lawn or adjusting the settings of washing machine or coffee maker, networked devices open up opportunities to automate processes and make them more convenient.

Smart Building

A smart building is a non-residential building where information from all trades for building services (facades, heating, ventilation, and air conditioning technology, electrical engineering, etc.) is included in the optimization of the building operation by means of communicative networking.

The data and information from the individual trades is made available in a platform and processed further. Through technical and energy monitoring, the various demands can be determined and appropriate action scenarios selected. The goal is to use data analysis to provide energy resources and human resources in a way that is both predictive and driven by demand. As a result, resources are conserved and costs are reduced over the lifecycle.

Optimization has a proven influence on:

  • Reducing maintenance costs, for example, through predictive maintenance with augmented reality.
  • Increasing energy efficiency and the associated cost reduction.
  • Increasing the efficiency of employees through optimized room climate and comfort.