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3D Warehousing: Enabling Intelligent Warehousing Visualization Based on Three.js

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Signal and Information Processing, Networking and Computers (ICSINC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 996))

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Abstract

In the industry 4.0 era, the 3D visualization and real-time automatic monitoring of intelligent warehousing supported are becoming increasingly important. In intelligent warehousing system, 2D chart mode is key component for visualization design. However, the requirements of 3D panoramic scene for warehousing data and the gap between interactive operation and data visualization challenge the development of visual warehousing. In order to solve the problems of untimely information sharing in the warehousing system, the inability to clearly and intuitively display the stockpiling of goods, and the difficulty of overall management and control of the warehouse. In this paper, we present a three.js-based warehousing system which can enable 3D warehousing visualization from the perspective of intelligent management. The proposed system includes five key components: warehousing data visualization, device data visualization, security monitoring visualization, visualization of roaming in the warehouse area, and visualization of inventory increases and decreases. Finally, the core technologies are identified to provide a visual depiction for warehousing function, particularly in intelligent warehousing visualization applications.

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Acknowledgment

This work is partially supported by the 3D Warehouse Area Modeling and Warehouse Location Intelligent Planning Project (No. 20211101303) and the Scientific Research Leader Studio of Jinan (No. 2021GXRC081), Joint Project for Smart Computing of Shandong Natural Science Foundation (No. ZR2020LZH007, ZR2020LZH015) and Natural Science Foundation of Shandong Province (No. ZR2020QF034).

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Shan, W. et al. (2023). 3D Warehousing: Enabling Intelligent Warehousing Visualization Based on Three.js. In: Wang, Y., Liu, Y., Zou, J., Huo, M. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2022. Lecture Notes in Electrical Engineering, vol 996. Springer, Singapore. https://doi.org/10.1007/978-981-19-9968-0_8

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  • DOI: https://doi.org/10.1007/978-981-19-9968-0_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9967-3

  • Online ISBN: 978-981-19-9968-0

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