Optimization Study on Limit Detection of Anti-collision Warning Device of Three Gorges Shiplock

DOI

10.2991/978-94-6463-404-4_3How to use a DOI?

Keywords

Three Gorges Shiplock; anti-collision warning device; limit detection; empirical test

Abstract

The anti-collision warning device of Three Gorges Shiplock is a kind of protection device for miter gate of shiplock. Which can absorb the energy of impacting, and slow down the ship before the crossing ship hits the miter gate because of the operation error or sudden fault. The limit detection of the anti-collision warning device is the key link to ensure the safe operation of the anti-collision warning device. By combing the operation characteristics of the anti-collision warning device of the Three Gorges Shiplock, this paper analyzes the advantages and disadvantages of the existing limit detection device of the anti-collision warning device, puts forward the optimal scheme of limit detection, and carries out an empirical test. The test data show that the optimized scheme meets the function and performance requirements of the limit detection of the anti-collision warning device of the Three Gorges Shiplock.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shu Gao
AU  - Zhou Jiang
AU  - Lei Dong
PY  - 2024
DA  - 2024/04/29
TI  - Optimization Study on Limit Detection of Anti-collision Warning Device of Three Gorges Shiplock
BT  - Proceedings of the 2024 3rd International Conference on Structural Seismic Resistance, Monitoring and Detection (SSRMD 2024)
PB  - Atlantis Press
SP  - 16
EP  - 22
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-404-4_3
DO  - 10.2991/978-94-6463-404-4_3
ID  - Gao2024
ER  -