Abstract
Abstract. 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.
Highlights
One of the key challenges in Facility Management (FM) is visualization of historic and current sensor data within as-is built environment representations, e.g., digital floor plans or 3D building models, derived from a building’s Digital Twin (DT)
Visualizing sensor data within its spatial context offered by point cloud representations, which depict the physical locations of where this data occurs and is measured in, can enhance analysis, intervention, forecasting, and decision making processes within the context of FM (Operations and Maintenance (OM))
There is a lack of approaches and related methods in current research for service-oriented systems integration and visualization of indoor sensor data with 3D point cloud representations
Summary
One of the key challenges in FM is visualization of historic and current sensor data within as-is built environment representations, e.g., digital floor plans or 3D building models, derived from a building’s DT. There is a lack of approaches and related methods in current research for service-oriented systems integration and visualization of indoor sensor data with 3D point cloud representations. The presented research addresses this problem by providing a conceptual system architecture and approach for combined visualization of indoor sensor data and as-is point cloud representations. With this architecture, we address the following requirements and challenges: (1) routine acquisition and processing of the digital representation of the built environment using low-cost devices (e.g., commodity mobile devices), (2) acquisition and processing of data from multiple sensors, and (3) its interactive mapping and visualization in a service-oriented system. With a case study and empirical results, we further evaluate our visualization approach, using point cloud representations of actual indoor offices (Fig. 1)
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