油库工业控制系统信息安全防护措施简析

本文结合某港油库的工业控制系统信息安全升级项目,介绍了该港根据《工业控制系统信息安全防护指南》、《工业控制系统信息安全行动计划(2018-2020)》以及国内外相关标准规范的要求,通过多角度评估,建立健全油库工业控制系统的安全保障体系,实现对其全方位的防护。     

Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System (or a number of other positioning sensors) with a spatial road map with the aim of identifying the road segment on which a user (or a vehicle) is travelling and the location on that segment. Amongst the family of MM algorithms consisting of geometric, topological, probabilistic and advanced, topological MM (tMM) algorithms are relatively simple, easy and quick, enabling them to be implemented in real-time. Therefore, a tMM algorithm is used in many navigation devices manufactured by industry. However, existing tMM algorithms have a number of limitations which affect their performance relative to advanced MM algorithms. This paper demonstrates that it is possible by addressing these issues to significantly improve the performance of a tMM algorithm. This paper describes the development of an enhanced weight-based tMM algorithm in which the weights are determined from real-world field data using an optimisation technique. Two new weights for turn-restriction at junctions and link connectivity are introduced to improve the performance of matching, especially at junctions. A new procedure is developed for the initial map-matching process. Two consistency checks are introduced to minimise mismatches. The enhanced map-matching algorithm was tested using field data from dense urban areas and suburban areas. The algorithm identified 96.8% and 95.93% of the links correctly for positioning data collected in urban areas of central London and Washington, DC, respectively. In case of suburban area, in the west of London, the algorithm succeeded with 96.71% correct link identification with a horizontal accuracy of 9.81 m (2σ). This is superior to most existing topological MM algorithms and has the potential to support the navigation modules of many Intelligent Transport System (ITS) services.     

远程视频监控系统在南宁大桥缆索吊装中的运用

随着科技高速发展,远程视频监控系统用于建筑施工现场管理的技术越来越成熟,管理人员只需在可以接入互联网的地方,通过台式计算机、笔记本电脑、PDA等设备,就可以随时随地访问获取建筑工地施工现场的视频图像,并实现远程视频监控。文章介绍了远程视频监控系统在南宁大桥缆索吊装施工中的应用情况。     

BIM与GIS融合技术在航道整治工程中的应用

针对航道整治工程中BIM技术无法管理条带状工程、难以表达工程周边地理信息等难点,通过梳理BIM与GIS数据特点,研究探索BIM与GIS融合技术,提出了通过格式转换、坐标转换和数据关联实现BIM与GIS融合的方法。将研究成果应用在蕲春水道航道整治工程,验证了BIM与GIS融合方法的可行性,实现了BIM与GIS数据一体化浏览、显示、管理、分析等功能,解决了BIM无法管理大范围工程、无法反映工程周边环境的不足,为BIM与GIS技术在航道整治工程中的应用提供了技术支撑。     

汽车轻量化开展流程及方法研究

虽然国内汽车轻量化技术有了较快的发展,但在系统性开展轻量化工作的流程和方法上依然在摸索中前进.本文通过研究国内外轻量化开展现状,初步搭建了整车轻量化开展流程,制定出一套完整的重量管控流程,尝试提出了整车轻量化新的评价方法,努力推动建立一套规范的、切实可行的轻量化工作流程体系,以促进汽车主机厂降重节能减排的顺利实施以及轻...     

高速铁路CTC中心电源系统冗余方案探讨

介绍了一种高速铁路CTC中心电源系统冗余方案,并详细阐述了机房稳定电源提供、电源屏及UPS、双电源设备、单电源设备、电源监测系统、电源系统检修的具体方案。     

适用于我国Ⅲ、Ⅳ级铁路的列控系统

我国Ⅲ、Ⅳ级铁路有配备列控系统的需求.ITCS和ERTMS Regional是适合Ⅲ、Ⅳ级铁路的2种列控系统,介绍了它们的结构和功能特点.     

构建科学的员工绩效管理体系探讨

文章针对当前国有企业绩效管理中常见问题,分析存在问题的原因,并结合企业绩效管理实践,提出建立和改善绩效管理体系的对策和建议。     

Modeling the Car-Truck Interaction in a System-Optimal Dynamic Traffic Assignment Model

Several transportation problems, such as implementation of truck-only lanes, require understanding the interaction of heterogeneous dynamic traffic flows in order to provide accurate solutions. System-optimal dynamic traffic assignment can be modeled using a network loading procedure based on the cell transmission model, that is, the hydrodynamic wave model, and solved by linear programming. However, this framework cannot handle the asymmetric integration between the flow of trucks and cars. This article presents a novel formulation for network loading in system-optimal dynamic traffic assignment considering car–truck interactions. By using an embedded cell transmission model, this formulation incorporates a set of assumptions related to the kinematic characteristics of the flow of cars, trucks, and their interactions that can be solved using linear programming. We present numerical results supporting our modeling assumptions. Likewise, the observed emergent behavior captures the car–truck interactions accurately and indicates that minimum system-optimal travel time is obtained by encouraging cars to use highways with shorter distances.     

基于非参数回归的快速路行程速度短期预测算法

基于北京市快速路上的检测器所采集的历史数据，经过数据筛选，剔除判别，小波滤噪平稳处理，聚类分析等过程，建立了交通状态演变系列的历史样本数据库。基于所构建的历史数据库，通过数值试验，确定了状态向量、距离匹配原则，K近邻值等参量，构建了一种基于K近邻的非参数回归短时交通预测模型，实现了对路段行程速度的短时预测。最后，利用随机选取的历史数据系列对预测模型的精度进行了检验。结果表明，预测算法的精度可以达到90％以上，可以很好地满足ITS应用系统对于交通预测数据的精度要求。