某船用柴油机SCR尿素喷射系统结构参数仿真优化

在建立的SCR系统三维仿真模型基础上,首先通过仿真性能分析,初步确定了尿素喷嘴位置、喷孔直径、喷孔数目及喷射方向等尿素喷射结构参数范围,然后采用正交试验法确定尿素喷射结构参数仿真试验方案。以NO_X转化率为优化目标,通过极差分析和方差分析得到优化的尿素喷射结构参数方案为:喷嘴与催化剂入口距离为7倍管径,喷嘴孔数为6孔,喷嘴孔径为0.6 mm,喷射锥角为30°。     

构建西江现代物流体系 打造世界加工制造次中心

文章基于当前产业结构大调整背景,提出广西要在迎接产业转移的竞争中胜出,必须着力构建以西江水运为龙头的现代物流体系,从而把西江经济带打造成为与＂珠三角＂这一世界加工制造中心紧密联动的加工制造次中心。     

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.     

未开放代码整车系统间BOM传递方案研究及应用

整车企业系统之间,因为底层代码不开放,数据结构逻辑未知等困难,无法实现精准对接。致力于通过大数据分析,数据结构排列组合等方法,验证出未开放系统的底层数据逻辑,实现数据关键字段管理。得出工程数据系统关键字段,不仅包含业务信息,还存在内核字段的结论。在无法获知底层封装代码的情况下,找到一条系统间从数据本身研究数据底层逻辑结构的有效论证和系统开发方法,建立精准变更对接管理规则,实现数据快速准确传递。     

集装箱多式联运系统的协同模型

集装箱多式联运系统是一个由多种运输方式构成,每种运输方式又自成体系的复杂系统。采用系统科学的方法,分析了集装箱多式联运系统的结构和协同学特征,并运用协同学理论,构建了以系统综合运输能力为序参量的国际集装箱多式联运协同发展方程。研究表明,随着控制变量逐渐变化,系统的定常态从稳定点变为不稳定点,系统发生结构变化。     

载人潜器人因工程研究

对载人潜器人因工程的研究现状、研究范畴、技术手段和发展趋势进行梳理和总结,旨在为指导载人潜器设计总体集成优化、提高潜器综合效能、节省全寿命周期费用及缩减潜器人员编制提供参考。     

齿轨铁路基础设施综合维修体系研究

根据齿轨铁路的工程特点,分析齿轨铁路基础设施综合维修的相关需求。借鉴国内既有铁路的综合维修模式,提出适合齿轨铁路的综合维修模式。进而对综合维修体系的组织机构设置及具体机构布点提出了建。     

基于自适应神经模糊推理的交通状态判别方法

文章针对交通状态具有模糊性和主观性的特点,建立能够真实反映人对交通拥塞程度感觉的自适应-神经模糊推理系统,使具有变化连续的交通流参数模糊化处理,实现了道路交通状态的准确、快速辨别。     

基于EXCEL滑坡地质灾害技术分析系统的开发

当前的滑坡地质灾害预报预测存在很多问题,如精度不高、现场技术人员难以应用等,无法指导滑坡治理过程中的灾害防治。文章在简单易用的EXCEL软件的基础上进行二次开发,内嵌地质灾害技术标准,充分利用EXCEL软件中宏及VBA编程运算功能,开发滑坡地质灾害分析系统;较易应用到现场施工过程当中,同时也可以进行挂接相关的其他程序;为施工单位提供决策依据。     

Integrated solution for anomalous driving detection based on BeiDou/GPS/IMU measurements

There has been an increasing role played by Global Navigation Satellite Systems (GNSS) in Intelligent Transportation System (ITS) applications in recent decades. In particular, centimeter/decimetre positioning accuracy is required for some safety related applications, such as lane control, collision avoidance, and intelligent speed assistance. Lane-level Anomalous driving detection underpins these safety-related ITS applications. The two major issues associated with such detection are (1) accessing high accuracy vehicle positioning and dynamic parameters; and (2) extraction of irregular driving patterns from such information. This paper introduces a new integrated framework for detecting lane-level anomalous driving, by combining Global Positioning Systems (GPS), BeiDou, and Inertial Measurement Unit (IMU) with advanced algorithms. Specifically, we use Unscented Particle Filter (UPF) to perform data fusion with different positioning sources. The detection of different types of Anomalous driving is achieved based on the application of a Fuzzy Inference System (FIS) with a newly introduced velocity-based indicator. The framework proposed in this paper yield significantly improved accuracy in terms of positioning and Anomalous driving detection compared to state-of-the-art, while offering an economically viable solution for performing these tasks.