汽车自动变速器阀体阀芯孔内壁面质量检测系统的研发

针对汽车自动变速器阀体的自动化加工质量检测,本文中提出了一套基于工业内窥镜拍摄的自动化检测系统设计方案。该方案融合机械、电控、视觉、软件等多个模块,以实现自动化视觉检测;并进行系统关键部分的原型研发及拍摄测试。结果表明,系统能够有效完成阀孔内壁面的完整图像拍摄和缺陷特征提取,有助于提高检测精度,且数据整理方便,有助于提升工厂的自动化水平。     

基于快速贝叶斯网络的S700K转辙机故障诊断研究

转辙机故障对铁路运输安全和效益影响重大,针对转辙机故障原因与现象之间的复杂不确定性关系,提出一种基于粗糙集约简的高效贝叶斯网络故障诊断方法。首先,建立故障诊断决策表,利用改进的差别矩阵算法剔除对结果影响较小的属性,得到最简故障诊断决策表。其次,根据表中故障现象与故障类型连接关系建立贝叶斯网络模型,利用推理算法求解各类故障发生的概率。算法通过约简属性简化贝叶斯网络结构,降低算法复杂度,加快计算速度。最后,用某车站转辙机故障实例验证该智能故障诊断方法的正确性。     

基于Qt跨平台的车载人机界面设计

车载人机界面(DMI)是目前列车自动防护系统(ATP)车载设备的重要组成部分,是唯一能实现列车司机与车载设备间二者交互的通道,所以其必须和用户有着很好的适应性,因此研究设计出高效稳定的人机界面有着非常重要的现实意义。基于软件的正向设计,从人机界面的功能需求出发,建立人机界面的基本模型框架,并疏理人机交互时序。最后使用Qt跨平台软件按其分层顺序依据各模块的功能流程图进行通用化的设计。     

The time slot allocation problem under uncertain capacity

This paper presents two stochastic programming models for the allocation of time slots over a network of airports. The proposed models address three key issues. First, they provide an optimization tool to allocate time slots, which takes several operational aspects and airline preferences into account; second, they execute the process on a network of airports; and third they explicitly include uncertainty. To the best of our knowledge, these are the first models for time slot allocation to consider both the stochastic nature of capacity reductions and the problem’s network structure. From a practical viewpoint, the proposed models provide important insights for the allocation of time slots. Specifically, they highlight the tradeoff between the schedule/request discrepancies, i.e., the time difference between allocated time slots and airline requests, and operational delays. Increasing schedule/request discrepancies enables a reduction in operational delays. Moreover, the models are computationally viable. A set of realistic test instances that consider the scheduling of four calendar days on different European airport networks has been solved within reasonable – for the application’s context – computation times. In one of our test instances, we were able to reduce the sum of schedule/request discrepancies and operational delays by up to 58%. This work provides slot coordinators with a valuable decision making tool, and it indicates that the proposed approach is very promising and may lead to relevant monetary savings for airlines and aircraft operators.     

筑养路机械在低温条件下的使用 与 保养

鉴于我国筑养路机械在低温条件下的使用与保护存在诸多问题， 通过对筑养路机械在低温条件下的使用与保养分析，提出筑养过程中要根据低温条件与机械技术情况变化，合理、有效地进行筑养路机械的使用与养护，从而确保机械的正常使用，同时避免事故发生，保证施工质量。     

Identifying multiclass vehicles using global positioning system data

It has been previously evidenced that global positioning system (GPS) data can be used to distinguish passenger cars from delivery trucks. In this paper, a machine learning approach is proposed to use GPS data to identify multiclass vehicles, including passenger cars, single unit trucks, and multi-trailer trucks. The method is acceleration and deceleration-based since it considers the variations of acceleration and deceleration as the most effective features to classify vehicles. The overall classification result for the three vehicle classes is about 75%. The major challenge is to distinguish single unit trucks from multitrailer trucks due to their somewhat similar mobility patterns. The paper also explores the impacts of GPS sampling frequency on vehicle classification. It is found that the proposed multiclass vehicle classification can be reasonably conducted if the data are collected frequently enough (i.e., every five seconds or more frequently) to capture the major acceleration and deceleration processes. The proposed method can be considered as a low-cost and non-intrusive approach to collect vehicle class information and to potentially supplement the existing classification schemes in urban areas.     

砂卵石层矩形顶管机切削技术及排渣系统研究与应用

为探索矩形顶管机在砂卵石层中的适应性,以成都市下穿人民南路人行通道矩形顶管项目为依托,对矩形顶管机在砂卵石地层中的组合式刀盘布置、下部刀盘减阻技术、螺旋机叶片安装位置和闸门结构形式等切削及排渣关键技术进行研究。结果表明： 1）采用同平面刀盘开挖形式,可减少前后刀盘布置带来的卡卵石现象,避免卵石对刀盘的的冲击,更能适应砂卵石地层的施工; 2）全部或部分切除下部刀盘加强大圆环,进行结构优化,在满足砂卵石地层开挖需求的同时,降低切削转矩20％左右; 3）带式双螺旋输送机螺旋叶片伸入土舱设计使螺旋输送机携渣能力提高3倍,且弧形闸门装置能够对渣土实现有效封堵。     

我国异形掘进机技术发展、应用及展望

20多年来,我国异形掘进机技术得到长足发展。首先,以异形掘进机领域的阶段性科研项目为主线,回顾我国异形掘进机技术从模仿跟随到同步突破再到创新引领的发展历程及所取得的成就,从异形掘进机全断面开挖技术、异形管片拼装技术、测控技术和施工技术等方面介绍我国异形掘进机技术的发展现状; 然后,通过大量案例分析,分别介绍矩形顶管机、矩形盾构、马蹄形盾构及其特殊施工技术在我国隧道建设中的应用情况; 最后,从地质适应性、施工效率、隧道截面形式等方面指出当前异形掘进机发展的局限性,并提出进一步的研究方向,同时对未来异形掘进机在新领域的应用提出几点思考。     

人工智能在本体映射中的应用

本体映射被认为是异构信息集成的关键,研究者们提出了很多本体映射的方法,论文主要从三个方面说明人工智能思想在本体映射中的应用。1）基于元素文本相似度计算的方法,往往会借助于自然语言处理技术,对文本进行相关处理。2）本体映射问题本质上是一个二元分类问题,可以借助于机器学习的方法提高本体映射的质量。3）利用聚类算法将本体分块,从而将大规模本体映射任务划分成若干个子任务,有效地解决了大规模本体映射的挑战。