基于云平台的智能能源系统研究

为落实国家“碳达峰、碳中和”战略目标,紧扣《中国城市轨道交通智慧城轨发展纲要》智能能源建设 目标,以“更节能、更友好、更先进”为导向,以创新节能技术为核心,以信息化、智能化为手段,开展智能能 源系统深化研究。提出基于云平台的能源管理系统的构建和实施方案,以及采用双向变流牵引供电技术、专用 轨回流供电技术、永磁同步牵引供电技术、高效节能通风空调技术、直流集中供电智能照明技术等新技术的“供 用管”综合节能技术方案。     

激光扫描技术在轨道施工质量自检中的应用研究

轨道工程施工质量自检是铁路建设单位控制轨道初始不平顺的重要环节。传统的轨道几何形位检查方式数据采集信息单一、效率低。采用地面激光扫描技术对铁路轨道施工质量进行检测,结合线路专业技术特点,对线路点云数据从采集、处理、分析到利用进行试验,一次性完成了轨道中线、轨面高程、轨道静态平顺度等轨道设备尺寸检查。研究表明,激光扫描技术应用于新建铁路轨道施工质量检查,可极大地降低外业作业强度,提高工作效率,利于改善轨道初始不平顺状态。     

基于图像点云空间测距算法的隧道初期支护整体变形监测技术研究与应用

为快速、准确获取施工隧道初期支护整体及局部变形信息,基于计算机视觉算法获取的隧道初期支护图像稀疏点云和密集点云数据,结合基于Hausdorff 距离的整体模型和基于最小二乘拟合平面的局部模型各自的特点,提出将两者相结合的图像点云空间测距算法。该方法可为每个点保留整体模型和局部模型分别计算的距离值中的较小值,解决前者对点云密度要求高以及后者局部拟合平面存在较大偏差问题,实现多期隧道图像点云直接比较分析,简化计算步骤和后处理过程,提高隧道初期支护变形监测速率和精度。通过对云南香丽高速公路白岩子隧道进口左线ZK61+990~ +994 段初期支护整体变形的监测分析,结果表明: 该技术能直观、可视化反映隧道初期支护整体变形情况,计算结果准确、可靠。     

汽车行业工业APP云平台设计架构分析

随着工业互联网技术的蓬勃发展,工业APP云平台成为国内外企业争相研究的热点领域。但目前在汽车行业,国内还缺少一个统一的工业APP云平台进行资源的整合和管理。同时大量工程经验知识缺乏数字化的继承,制约了汽车行业更好更快地发展。对汽车行业工业APP云平台设计架构进行分析,设计了云平台的整体功能架构,简要介绍了平台各层级的功能实现以及平台架构特点,对云平台构建过程中的OpenStack设计架构和微服务架构进行分析,为云平台的实现提供了重要技术手段。汽车行业工业APP云平台建设对汽车行业数字化改革具有重要参考意义。     

A method based on potential theory for calculating air cavity formation of an air cavity resistance reduction ship

This research is intended to provide academic reference and design guidance for further studies to determine the most effective means to reduce a ship’s resistance through an air-cavity. On the basis of potential theory and on the assumption of an ideal and irrotational fluid, this paper drives a method for calculating air cavity formation using slender ship theory then points out the parameters directly related to the formation of air cavities and their interrelationships. Simulations showed that the formation of an air cavity is affected by cavitation number, velocity, groove geometry and groove size. When the ship’s velocity and groove structure are given, the cavitation number must be within range to form a steady air cavity. The interface between air and water forms a wave shape and could be adjusted by an air injection system.     

FasFast Triangulation and Local Optimization for Scan Data of Laser Radar

In order to study the triangulation for the point cloud data collected by three-dimensional laser radar,in accordance with the line-by-line characteristics of laser radar scanning,an improved Delaunay triangulation method is proposed to mesh the point cloud data as a triangulation irregular network.Based on the geometric topology location information among radar point cloud data,focusing on the position relationship between adjacent scanning line of the point data,a preliminary match network is obtained acc...     

Fast triangulation and local optimization for scan data of laser radar

In order to study the triangulation for the point cloud data collected by three-dimensional laser radar, in accordance with the line-by-line characteristics of laser radar scanning, an improved Delaunay triangulation method is proposed to mesh the point cloud data as a triangulation irregular network. Based on the geometric topology location information among radar point cloud data, focusing on the position relationship between adjacent scanning line of the point data, a preliminary match network is obtained according to their geometric relationship. A reasonable triangulation network for the object surface is acquired after the use of local optimization on initial mesh by Delaunay rule. Meanwhile, a new judging rule is proposed to contrast the triangulation before and after the optimization on the network. The result shows that triangulation for point cloud with full use of its own characteristics can improve the speed of the algorithm obviously, and the rule for judging the triangulation can evaluate the quality of network.     

城市轨道交通自主可控云平台业务系统迁移探析

城市轨道交通云平台对国外产品依存度高,关键环节存在"卡脖子"风险.通过分析该领域的现状,提出相应的解决方案,阐述城轨自主可控云平台的模型,讨论城市轨道交通业务系统向自主可控云平台迁移的可行性及评估方法,详细介绍迁移原则、迁移流程、资源规划以及中间件、数据库、应用等具体的迁移实施路径及典型案例,为解决城市轨道交通云平台面...     

一种基于激光与视频信息时空数据融合的行人检测方法

针对城市交通行人安全问题,本文提出了一种基于激光与视频数据融合的行人检测方法.通过激光与视频数据空间和时间上的融合,将激光数据映射到图像坐标;在激光聚类过程中,采用K-means 聚类算法对激光云点进行聚类分析,然后运用行人宽度模型提取候选行人区域;在基于图像的行人检测过程中,选取头肩、躯干以及腿部人体特征部位,采用Haar-like 特征集和Boosting 算法进行训练,得到部位检测器;最后,基于贝叶斯决策的组合策略对候选行人区域进行有效判定.实验结果表明,本文所述算法有较好的检测精度和实时性能.     

对抗红外热成像反舰导弹的方法探讨

本文从红外热成像反舰导弹对舰船威胁的实际情况出发，详尽分析了红外热成像反舰导弹成像系统的工作原理、导引头的制导机理、目标识别方法及工作特点，并在此基础上提出了相应的对抗思路及实施方法。