关于完善航道监管机制的思考

近年来,航道部门不断增强对航道的监管力度,保障航道安全与规范,但其中还存在一些不足。本文分析了两起船舶安全事故,指出航道监管的重要性,分析西方国家航道监管的经验,指出对我国航道监管的启示,并提出健全现行航道监管机制的建议。

无人机三角法测量技术在航道施工监管中的快速判定应用研究

文章通过对消费级无人机三角法测量技术的快速判定研究,结合航道施工监管应用实践,为航道管理提出高性价比的快速判定应用方法。

Research on Key Techniques for Video Surveillance System Applied to Shipping Channel Management

A video patrol and inspection system is an important part of the government's shipping channel information management. This system is mainly applied to video information gathering and processing as a patrol is carried out. The system described in this paper can preview,edit,and add essential explanation messages to the collected video data. It then transfers these data and messages to a video server for the leaders and engineering and technical personnel to re-trieve,play,chart,download or print. Each department of the government will use the system's functions according to that department's mission. The system can provide an effective means for managing the shipping enterprise. It also pro-vides a valuable reference for the modernizing of waterborne shipping.

基于MHA⁃BiGRU的内河航道水位预测分析

针对山区内河航道水位预测技术难题,分析了影响航道水位预测的环境因素和技术难点,总结了当前航道水位预测模型的技术方法,提出一种新型的MHA⁃BiGRU航道水位预测模型,将多头注意力机制引入GRU模型,实现了模型对航道水位序列数据时间和空间等重要因素的特征权重划分,使模型聚焦影响航道水位变化的关键因素。以乌江下游航道为研究对象,通过建设水位和流速实时动态监测站,建立监测数据集,选取平均绝对误差(MAE)、纳什效率系数(NSE)和均方根误差(RMSE)等参数作为评价指标对该模型进行验证。结果表明,模型通过多头注意力机制和双向循环神经网络的应用,提升了航道水位预测性能;与传统的LSTM和GRU等经典时序预测模型相比,该模型具有更好的鲁棒性和更高的精度。将模型嵌入系统平台中进行示范应用,实现了航道水位的实时动态监测和中短期预测,具有较高的工程应用价值。