Abstract
Building information modeling (BIM) is the digital representation of physical and functional characteristics (such as geometry, spatial relationship, and geographic information) of a facility to support decisions during its life cycle. BIM has been extended beyond 3D geometrical representations in recent years, and now includes time as a fourth dimension and cost as a fifth dimension, as well as such other applications as virtual reality and augmented reality. The Internet of Things (IoT) has been increasingly applied in various products (smart homes, wearables) to enhance work productivity, living comfort, and entertainment. However, research addressing the integration of these two technologies (BIM and IoT) is still very limited, and has focused exclusively on the automatic transmission of sensor information to BIM models. This paper describes an attempt to represent and visualize sensor data in BIM with multiple perspectives in order to support complex decisions requiring interdisciplinary information. The study uses a university campus as an example and includes several scenarios, such as an auditorium with a dispersed audience and energy-saving options for rooms with different functions (mechanical/electrical equipment, classrooms, and laboratory). This paper also discusses the design of a common platform allowing communication among sensors with different protocols (Arduino, Raspberry Pi), the use of Dynamo to accept sensor data as input and automatically redraw visualized information in BIM, and how visualization may help in making energy-saving management decisions.
Highlights
With the advance of technology, data has grown exponentially during the past few years [1], which has spurred growing attention to data visualization in such fields as commercial finance, economics, medical MRI (Magnetic resonance imaging) applications [2] and so on
The building information modeling (BIM) concept was originally introduced in the book “Building
Virtual world (BIM model): After establishing a virtual 3D space and sensor locations, we input real environmental into the virtual environment through
Summary
With the advance of technology, data has grown exponentially during the past few years [1], which has spurred growing attention to data visualization in such fields as commercial finance, economics, medical MRI (Magnetic resonance imaging) applications [2] and so on. Data visualization allows the analysis and presentation of heterogeneous data in abstract form using computer graphics and interactive technologies [3]. The building information modeling (BIM) concept was originally introduced in the book “Building. Product Models” by Eastman [5], which describes the basic concept of architectural information modeling, relevant model components, and information exchange. BIM is a smart model-based process that seeks to achieve such goals as decreasing project cost, increasing productivity and quality, and shortening project delivery time [6]. Thanks to BIM’s simulation of architecture in a virtual
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