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​MOBISTYLE - The Expert tool

Within the MOBISTYLE project, the Expert Tool allows the visualization and management of a big amount of data available in the different demonstration cases. The experts are able to filter the information they need, to calculate pre-defined KPIs, but also to set up their own KPIs. The Expert Tool has been designed in such a way that it fixes only some boundary conditions. It  allows the user to filter information, make simple calculations, and export the data in the most suitable way.

The Expert Tool is built upon the existing RE Suite software package developed and commercialized by the consortium partner DEMO Consultants. In general terms the Expert Tool will be an additional module to the RE Suite package for real estate asset management.


Due to low cost sensor techniques the amount of data collected from various physical quantities is expanding rapidly. In the construction sector, building managers and owners deal with a lot of different data and information – such as sensors data, smart meter data, and energy bills – coming from different sources and available in different formats. Nevertheless, in some situations this data is easy accessible, available or readable; whereas in other situations the required data can be difficult to extract and difficult to interpret in a homogeneous way.

With the Expert Tool, you can:

1.    Manage data. The expert has access to the data for visualization, filtering and validation purposes.

2.    Calculate KPI's. The expert is able to visualize and download KPIs on energy, comfort and health.

3.   Support the needs of third parties tools. The expert is able to export the data in the most suitable format. This functionality guarantees the interoperability between the Expert Tool and the other software programs used by the expert for evaluation and analysis purposes.

Peter Op 't Veld
Huygen Installatie Adviseurs B.V.
Urmonderbaan 22 (Gate 2), Gebouw 220 6167 RD Sittard-Geleen, The Netherlands
T: +3188 0322222
T his project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No. 723032.