Sensor Data Visualization for Indoor Point Clouds

Stojanovic, Vladeta; Trapp, Matthias; Hagedorn, Benjamin; Klimke, Jan; Richter, Rico; Döllner, Jürgen

Integration and analysis of real-time and historic sensor data provides important insights into the operational status of buildings. There is a need for the integration of sensor data and digital representations of the built environment for furthering stakeholder engagement within the realms of Real Estate 4.0 and Facility Management (FM), especially in a spatial representation context. In this paper, we propose a general system architecture that integrates point cloud data and sensor data for visualization and analysis. We further present a prototypical web-based implementation of that architecture and demonstrate its application for the integration and visualization of sensor data from a typical office building, with the aim to communicate and analyze occupant comfort. The empirical results obtained from our prototypical implementation demonstrate the feasibility of our approach for the provisioning of light-weight software components for the service-oriented integration of Building Information Modeling (BIM), Building Automation Systems (BASs), Integrated Workplace Management Systems (IWMSs), and future Digital Twin (DT) platforms.

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Stojanovic, Vladeta / Trapp, Matthias / Hagedorn, Benjamin / et al: Sensor Data Visualization for Indoor Point Clouds. 2019. Copernicus Publications.

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Rechteinhaber: Vladeta Stojanovic et al.

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