Research on trajectory detection technology of cavern flow based on inertial navigation

Yuxin Shang, Xiaojie Cheng, Yunpeng Feng*, Hongfeng Chen, Haobo Cheng

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The trajectories detection of carven flow is estimated generally through the calculation of changes in various physical fields and the hydrogeological conditions. This paper uses inertial components to solve the trajectory of carven flow. Due to the characteristics and the complex movement attitude of the inertial components in the flow, the calculation error accumulate over time, even cover the true trajectory. Based on the characteristics of carven flow and inertial components, this paper proposes a new trajectory detection technology to obtain relatively accurate trajectory.

Original languageEnglish
Article number01049
JournalE3S Web of Conferences
Volume131
DOIs
Publication statusPublished - 19 Nov 2019
Event2nd International Conference on Biofilms, ChinaBiofilms 2019 - Guangzhou, China
Duration: 10 Oct 201913 Oct 2019

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Shang, Y., Cheng, X., Feng, Y., Chen, H., & Cheng, H. (2019). Research on trajectory detection technology of cavern flow based on inertial navigation. E3S Web of Conferences, 131, Article 01049. https://doi.org/10.1051/e3sconf/201913101049