Design and implementation of a cesium-based 3D visualization platform for the Yellow River dam bank

Xianyu Zuo; Huaiyuan Sun; Lei Zhang; Lanxue Dang; Yang Liu; Yi Xie

doi:10.1117/12.2674314

28 April 2023 Design and implementation of a cesium-based 3D visualization platform for the Yellow River dam bank

Xianyu Zuo, Huaiyuan Sun, Lei Zhang, Lanxue Dang, Yang Liu, Yi Xie

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260S (2023) https://doi.org/10.1117/12.2674314
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

Flood control is one of the most important operations of Yellow River control. The dam bank danger in flood season every year has the characteristics of time-varying, multi-dimension and complex situation, which poses a certain threat to people's life and property safety. For timely, flood control engineering data quickly and implement management interface of information visualization, effectively reduce the labor intensity of artificial working risk, this paper puts forward a kind of based on three-dimensional library of Cesium Huang Heba shore the realization method of 3D visualization platform adopted the aerial drones to create dam shore entity 3D model, Combined with WebGIS technology and front-end technology, the system's 3D expression is realized. Through interface design and system function development, the system has three-dimensional model display, with the functions of dam bank cruise and measurement tools, the platform has strong sense of reality and good interaction effect, which realizes the three-dimensional visual display of the Madu control project in Zhengzhou, Henan Province.

Citation Download Citation

Xianyu Zuo, Huaiyuan Sun, Lei Zhang, Lanxue Dang, Yang Liu, and Yi Xie "Design and implementation of a cesium-based 3D visualization platform for the Yellow River dam bank", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260S (28 April 2023); https://doi.org/10.1117/12.2674314

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