Use the Ultra Wide Band localization technology to observe and analyze behavior patterns of the people in the indoor exhibition space, providing designers with decision-making advice and data that can support the redesign of the plan layout.
— Inspiration —
In traditional architecture design, architects rely on experience to design the architectural interior traffic flow, so the actual utilization of space is not accurately estimated at the design stage. Thus, our team managed to observe and analyze the behavior of people in architectural spaces through the Ultra Wideband localization technology.
We made a prototype from the perspective of data collection and analysis of behavior data, and provided data basis for the traffic flow design and architectural space design.
— Ultra wide band system—
The UWB localization equipment includes labels and base stations. When the interior space has more than three base stations, by using the Trilateration, the location of the tag will be converted into coordinate data.
In this exhibition, we installed six base stations in the exhibition hall, to calculate the location of the label. After that, we allocated the labels to each visitor.
Super six categories UTP lines are used as the data transmission channel and power supply system of localization devices. Besides, they connect base stations, switches and calculation servers, setting up the whole localization system.
— Traffic flow —
By continuously receiving data of tourists from the API, we used the Javascript programming language to build a real-time traffic flow map. With generating traffic flow automatically, the visiting line and the visiting time of each visitor are visualized and quantified.
— Heat map —
The longer the tourist stays, the higher the thermal value of the site would be. The heat map can show the population distribution, density, and variation trends, reflecting tourists’ preference regarding exhibits, aggregated area and the usage of traffic arteries. Accordingly, those feedback can facilitate the redesign.
— Cluster analysis —
Under algorithms’ control, the scattered points with similar characteristics would be classified and self-organized by the program without supervision. Through the structure of data, we can analyze the tourists' preferred viewing area, the constellation effect of tourists and the best display location of exhibits.
— Spatial form —
We not only used real-time data as the basis for studying the behavior of people in space, but also managed to make use of the data in designing architectural space. According to the actual size of the exhibition hall, we draw a blue cube in the program. Tourists in the exhibition hall would gradually ``erode`` space. The longer a tourist stays at a specific location, the more the area of a particular scope would be eroded.
After the program accumulates enough behavior data, the space shape would be gradually carved out. As a result, this program could show tourists’ movement in 3D, and provide a tool for the optimal redesign of space as well.
In this exhibition, by using the accumulated of tourists' behavior data, the program carves out the exhibition space’s inherent form.
The remaining vertical blue strips in the images correspond to the form of display boards in the exhibition hall, and gaps between the boards are walking tracks of tourists. At the right of the cube, the wood structure model takes a great deal of room, and thus the tourists can only take a detour to avoid it. Due to the high utilization rate, the region of the entrances and the exits come into being flat and red.
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Instructor: Feng Yuan, Hao Yin
Workshop: ``Visualization vs. Materialization``
Team Work (8 students contained)
Contribution: Programming of the cluster analysis, calibration of the Ultra Wide Band system, adjustment of the space generation
Location: the College of Architecture and Urban Design, Tongji University, Shanghai, China
Duration: June 24, 2017 - July 1, 2017
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Exhibition: Digital Future Shanghai 2017
July 1, 2017 - September 30, 2017
- Project: Behavior Visualization (Exhibition of the system)
