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Predictive maintenance

Predictive maintenance

Predictive maintenance means predictive maintenance. With this approach, machines and systems are maintained proactively. In the best case, malfunctions or failures are predicted before they occur. The aim of the principle is to minimize downtime, avoid wear-and-tear material costs and extend the service life of plant and machinery. Predictive maintenance is based on the evaluation of real-time data. Only with an appropriate database can changes, trends and developments be predicted by algorithms or by the use of AI.

In building operations, the use of a digital twin in particular can be the cornerstone for automated processes and thus also for predictive maintenance. By avoiding malfunctions and failures, the comfort for users increases considerably. Building operators have the opportunity to make operations more efficient, save operating costs and increase energy efficiency.

Success Stories

Trinity

As one of the world’s largest real estate investment managers, AEW places great emphasis on the consistent digitalization and sustainability of its existing buildings. A prime example is the “Trinity” located in the vibrant Zollstock district of Cologne. This was made possible through a tailored digital retrofit and subsequent optimization of the system operation via a cloud platform.

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SPRINGER QUARTIER

SPRINGER QUARTIER, developed by the MOMENI Group, stands as a flagship project in Hamburg‘s urban quarter landscape, seamlessly linking the city center with the Gängeviertel and Neustadt districts. The property offers an enticing mix of office, retail, and restaurant spaces, complemented by contemporary apartments that meet the latest energy standards.

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The Ship

THE SHIP in Cologne-Ehrenfeld, operated by the evolutiq Group, is the pioneer of a new generation of buildings: fully digitalized, forward-looking and equipped with high-end technologies, the building creates a very special atmosphere for tenants and visitors.

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