图像智能识别技术在舰船电力系统远程设备监控的应用

当前图像智能识别技术在人脸识别、指纹识别等领域获得了非常广泛的应用。舰船电力系统设备是保障舰船作战能力的关键,实现舰船电力系统设备的远程监控具有非常重要的意义。图像智能识别技术需要处理的数据量较大,本文使用了一种基于VB和Matlab混合编程的方法,充分结合了VB和Matlab的优点,设计了舰船电力远程设备监控系统的架构和软件界面,给出了BP神经网络进行图像识别的工作流程。系统能够正确提取图像并识别仪器上的数字,且具有速度快等优点。     

新时代职业教育重构思维下的铁路行车组织课改研究

随着新时代国际互联互通的发展,在"一带一路"铁路基础设施建设和运营中,铁路行车组织发挥着重要的作用。为适应时代发展和职业教育重构的需要,铁路行车组织课程要进行改革,其内容应精简且以技术技能为主,使之符合现场工作的需要。课程应该将知识学习与职业资格考证密切对接,提高人才培养质量和工学转化效率。课程应该平衡校企需求,使校企以人才培养为纽带紧密结合起来。     

舰船远程通信信号的定位算法研究与仿真

舰船通信过程中对信号源进行通信定位,能够准确捕捉舰船所在位置。传统远程通信信号的定位算法无法进行高精度的定位,同时舰船运行速率会影响通信定位质量,针对上述问题,提出舰船远程通信信号的定位算法。在传统信号定位算法基础上进行加权处理,优化测距误差自校正流程,降低行速率对通讯定位的影响,增设自校正定位计算,加强定位计算质量。实验数据表明,提出的通信信号定位算法能够对舰船进行高精度的信号定位。     

我国本科职业教育的发展路径选择

英国本科职业教育是在大学之外建立职业教育机构实施本科职业教育,美国本科职业教育是在大学中通过职业性的教学计划实施本科职业教育。结合我国高等职业教育发展现状,英美发展本科职业教育的路径具有一定的借鉴意义,可以对我国发展本科职业教育的路径选择提供启示。     

绵阳公交跨入智能化管理时代

今年7月底．绵阳市公交公司1044辆公交车都将全部安装GPS系统，实现实时远程监控。这意味着绵阳公交真正跨入了智能化管理时代。公交车全部安装GPS系统，将有效从技术上保证公交车在运行中的准点率，改善全市居民的出行条件。     

天津港建成地源热泵远程监控平台

天津港集团国际物流公司通过多方研究和试验，建立了天津港首个地源热泵远程监控智能平台，成为国际物流公司打造绿色低碳园区的重要标志之一。     

Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［Objective ］ To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. ［Method］On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. ［Results］The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. ［Conclusions］The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved.