aedifion.analytics offers you a fully digitalized operational optimization of your buildings or properties with the help of artificial intelligence. The add-on is an AI-powered tool for automatic and continuous monitoring, data-based analysis and evaluation of complex building operations. Thus, .analytics relieves the operating team and helps to identify operating errors and savings potentials, reduce energy consumption and maintenance effort and thus sustainably saves operating costs. Simultaneous monitoring of room comfort guarantees thermal comfort and good air quality. This turns your building into a real smart building!
With aedifion.analytics, operational optimization has never been easier. The .io Data Hub is used as the data basis. This data is structured with the help of artificial intelligence and assigned to digital twins of the facilities in the building. Automated analyses examine the functioning of the technical building equipment (TGA). The AI automatically detects malfunctions in operation and derives recommendations for the economic optimization of the TGA operation. Your advantage: Without manual effort, you receive a catalog of measures that can be used to improve building operation. And the success control of this? Taken over by .analytics, of course!
With our aedifion.elevate service package, we get you on track. Our experienced engineers are at your disposal and take over, for example, the mapping of all your building's systems and the creation of digital twins. This provides you with additional, external resources for optimizing your building operations. Depending on your needs, we will relieve you of the burden of working with the software and take care of all tasks related to the platform.
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Once set up, the aedifion platform can perform automated inspections of the plant technology on a permanent basis. In the process, patterns occurring during plant operation are compared by our artificial intelligence with patterns stored in our databases. Typical errors, such as setpoint overruns or deviations from planned values, are detected in the same way as a suboptimal degree of utilization of the plant technology, excessive cycle behavior, plant failure or faulty control sequences. If deviations from standard operation occur, the underlying causes are identified on the basis of our error databases and recommendations for corrective action are generated. The recommendations automatically adapt to changes in the building and enable a continuous improvement process of the building operation. In this way, economically optimized operation of the building can be achieved throughout its entire life cycle.
Use of .analytics for data analysis and collection of optimization recommendations of the supply technology.