Research on automatic maintenance algorithm of bridge axis based on Beidou RTK

Zhong-fan Guo; Fu-gen Sun; Cheng-xiang Tian

doi:10.1117/12.2681118

23 May 2023 Research on automatic maintenance algorithm of bridge axis based on Beidou RTK

Zhong-fan Guo, Fu-gen Sun, Cheng-xiang Tian

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126454P (2023) https://doi.org/10.1117/12.2681118
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In this paper, the precise orientation data provided by Beidou RTK equipment for the gate bridge is used as data input. Through application analysis, model construction and algorithm research, the precision power output is provided for the gate bridge, and a feasible technical path is provided for the automatic maintenance of the axis of the floating bridge. In this paper, aiming at many environmental factors of gate bridge and dynamic characteristics of power boat engine, a stable power output solution is put forward, which is an innovation of traditional floating bridge axis maintenance logic, aiming at promoting the unmanned and intelligent development of floating bridge erection.

Citation Download Citation

Zhong-fan Guo, Fu-gen Sun, and Cheng-xiang Tian "Research on automatic maintenance algorithm of bridge axis based on Beidou RTK", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126454P (23 May 2023); https://doi.org/10.1117/12.2681118

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