Three-dimensional visualization of thermal environments in urban canyons

Wu, Ko-Chiu; Chen, Chia-Hsing; Hsu, Chien-Hui

doi:10.1080/10106049.2022.2107713

Cited by 1 publication

(1 citation statement)

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“…Referring to the Gestalt theory in psychology, Wu et al proposed a visualization method using color coding. 17 The method uses 3D spheres to represent temperature data at corresponding locations in space and provides them with spectral colors to display temperatures. To visualize the positional relationships between temperature data, the spheres feature a transparency attribute.…”

Section: Introductionmentioning

confidence: 99%

Online temperature‐monitoring technology for grain storage: a three‐dimensional visualization method based on an adaptive neighborhood clustering algorithm

2023

J Sci Food Agric

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BACKGROUNDPost‐harvest quality assurance is a crucial link between grain production and end users. It is essential to ensure that grain does not deteriorate due to heating during storage. To visualize the temperature distribution of a grain pile, the present study proposed a three‐dimensional (3D) temperature field visualization method based on an adaptive neighborhood clustering algorithm (ANCA). The ANCA‐based visualization method contains four calculation modules. First, discrete grain temperature data, obtained by sensors, are collected and interpolated using back propagation (BP) neural networks to model the temperature field. Then a new adaptive neighborhood clustering algorithm is applied to divide interpolation data into different categories by combining spatial characteristics and spatiotemporal information. Next, the Quickhull algorithm is used to compute the boundary points of each cluster. Finally, the polyhedrons determined by boundary points are rendered into different colors and are constructed in a 3D temperature model of the grain pile.RESULTSThe experimental results show that ANCA is much better than the DBSCAN and MeanShift algorithms on compactness (around 95.7% of tested cases) and separation (approximately 91.3% of tested cases). Moreover, the ANCA‐based visualization method for grain pile temperatures has a shorter rendering time and better visual effects.CONCLUSIONThis research provides an efficient 3D visualization method that allows managers of grain depots to obtain temperature field information for bulk grain visually in real time to help them protect grain quality during storage. © 2023 Society of Chemical Industry.

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Section: Introductionmentioning

confidence: 99%

Online temperature‐monitoring technology for grain storage: a three‐dimensional visualization method based on an adaptive neighborhood clustering algorithm

2023

J Sci Food Agric

View full text Add to dashboard Cite

show abstract

Three-dimensional visualization of thermal environments in urban canyons

Cited by 1 publication

References 77 publications

Online temperature‐monitoring technology for grain storage: a three‐dimensional visualization method based on an adaptive neighborhood clustering algorithm

Online temperature‐monitoring technology for grain storage: a three‐dimensional visualization method based on an adaptive neighborhood clustering algorithm

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