Open AccessPlatform of Attitude Monitoring for Freight High Speed Trains
Author(s) -
Jiaxin Wang,
Ying Zou,
Yun-tong An,
Peng Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1972/1/012041
Subject(s) - train , inertial measurement unit , real time computing , computer science , speed measurement , core (optical fiber) , engineering , simulation , transport engineering , automotive engineering , embedded system , telecommunications , artificial intelligence , geography , cartography
For freight high speed railways with increasing speed up to 250 km/h, it is vital to monitor the running attitude of the high-speed railways in real time. By reviewing and analyzing the existing train attitude detection technologies at home and abroad, this paper presents a novel platform of attitude monitoring for freight high speed trains. We take the inertial navigation unit as the core unit, and develop a platform system to detect the running attitude detection straightforwardly. Various tests are implemented in the laboratory to validate the platform, demonstrating the superiorities and potentialities in railway applications.