A Brief Analysis of Operation Safety Management and Risk Prevention and Control Strategies for Ship Locks
DOI: https://doi.org/10.62381/ACS.EMIS2026.07
Author(s)
Peng Wu*, Zhenxiong Wu
Affiliation(s)
Three Gorges Navigation Authority, Yichang, Hubei, China
*Corresponding Author
Abstract
This paper studies and analyzes the operational characteristics of ship locks and the necessity of safety management, and identifies the main risk factors, including equipment failures, human errors, environmental factors and management defects. In response to these risks, this paper puts forward such prevention and control measures as improving management systems, strengthening equipment maintenance, enhancing staff competence and optimizing emergency plans. The paper also explores the application of intelligent technologies in ship lock safety management, including intelligent monitoring systems, big data analysis and artificial intelligence technologies. The research shows that the implementation of systematic risk prevention and control strategies and the application of advanced technologies can significantly enhance the safety and efficiency of ship lock operation. This not only provides strong support for the high-quality development of inland waterway transportation, but also helps unblock the "arteries" of inland waterway transportation and serve the coordinated development of regional economy and society.
Keywords
Ship Lock Operation; Safety Risk; Risk Management; Prevention and Control Strategy
References
[1] Qi Junlin, Chen Dongyuan, Wu Peng, et al. Key technology research and outlook for large ship lock navigation in Xijiang River and the Yangtze River. Port & Waterway Engineering, 2024(3):137-143.
[2] Zhang Hao, Ke Jiangcen. An Intelligent Scheduling System and Hybrid Optimization Algorithm for Ship Locks of the Three Gorges Hub on the Yangtze River. Mechanical Systems and Signal Processing, 2024, 208(15):110974.
[3] Liu Shun, Zhang Yu, Guo Wenjing, et al. Ship scheduling problem based on channel-lock coordination in flood season. Expert Systems with Applications, 2024, 254(15):124393.
[4] Sun Yao, Yang Jiaxuan, Wang Xinjian, et al. Integrating ship traffic conflicts into navigation risk modelling for safety at traffic-intensive waters. Ocean Engineering, 2025, 341(3):122570.
[5] Qing Liu, Yue Ma, Liu Yang, et al. Task allocation considering shipping safety: Workload resilient interval for inland passenger ship seafarers’ optimal safety performance in real navigation. Regional Studies in Marine Science, 2025, (81):103927.
[6] He Ji, Chen Jiachun, Li Kuangjia. Research of risk for warning indicators for operation safety management of Three Gorges Project. Water Resources Development Research, 2023, 23(11):45-51.
[7] Jong-Il Park, Sungyop Kim, Joon-Ki Kim. Exploring spatial associations between near-miss and police-reported crashes: The Heinrich’s law in traffic safety. Transportation Research Interdisciplinary Perspectives, 2023(19):100830.
[8] Sungwan Cho, Dohyeong Kim, Hiba Khan, et al. Heinrich’s Law for Traffic Incidents – Using the Digital Tachograph Data to Identify Traffic Accident Hotspots. Promet-Traffic & Transportation, 2023, 35(6):829-837.
[9] Yang Lili. Construction of Smart Ship Locks Based on Remote Centralized Control: A Case Study of the Yangzhou Navigation Lock Operation Dispatch Center. Construction Standardization, 2022, (15):93-95.
[10]Chen Yihao, Xu Ruizhe, An Xiaogang, et al. Shiplock information management method based on digital twin. Journal of Waterway and Harbor, 2023, 44(4):661-666.
[11]Ding Guangming, Zhao Yuzhong, Zheng Yong. Data Exchange and Decision Optimization for Intelligent Maintenance of Xinjiang Ship Locks. Water Resources Development Research, 2024, 51(S2):1038-1041.