铁路跨区间无缝线路自动设计软件研究

铁路跨区间无缝线路设计具有数据种类多样,计算工作繁琐,绘制无缝线路布置图的工作量较大等特点。依据铁路跨区间无缝线路设计理论及规范要求,基于Python语言对AutoCAD进行二次开发,按照数据输入、数据处理、数据输出、绘制图形、界面设计的思路编制了铁路跨区间无缝线路自动设计软件。软件实现了铁路跨区间无缝线路复杂车站及区间范围内位移观测桩、道岔焊接接头、单元轨节接头、设计锁定轨温等无缝线路信息的自动分析计算,并按照规范要求自动绘制无缝线路轨条布置图和单元轨节布置表。应用结果表明:程序界面友好、操作简单、运行稳定,大幅提高了无缝线路设计的效率和正确率。     

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介绍了基于GPRS的自动车辆定位系统的数据链路，并结合GPRS数据用户的工作流程，介绍了实现链路的关键技术。从语音传输和数据传输两个方面给出了基于GPRS数据链路的自动车辆定位系统（AVLS）系统模型。着重对数据接入延时与语音负载、数据长度、数据发送间隔、系统容量等参数之间的关系进行了仿真分析。仿真结果表明,对于语音负载小、数据长度小的自动车辆定位系统，GPRS可以用来实现系统的大容量。     

基于源路由的多路径路由协议

为了进一步有效地利用网络资源，采用多路径机制改善最佳链路状态路由协议OLSR的网络性能．提出了基于源路由的多路径SR-MPOLSR协议．首先利用MPR多点中继机制高效获取网络的拓扑图，并在网络节点中用多重Dijkstra算法计算出多路径．然后采用加权分配的循环调度实现负载分配，最后引人源路由机制完成报文的选径转发．这种SR-MPOLSR协议较之OLSR协议可进一步利用网络资源，改善链路的吞吐量和平均延迟．增加网络健壮性和可靠性．仿真结果显示，与OLSR算法相比，SR-MPOLSR算法的数据传输率提高20％-40％。端对端平均延迟降低10％-30％．     

混凝土拉压杆模型最小拉压杆夹角取值范围研究

混凝土深梁抗剪设计和应力非规则区设计一直是工程界的难题，目前普遍认为拉-压杆模型法是设计混凝土深梁和应力非规则区比较有效的方法之一，已经被多国规范所采纳。虽然各规范都认识到拉、压杆之间的夹角取值对设计和验算结果的影响，并对此做了相应的规定，但都没有明确地将腹板的配筋率，腹板钢筋的屈服强度和混凝土的极限抗压强度等因素联系起来，因此有必要对此做进一步深入的研究。通过控制腹板钢筋屈服先于混凝土压杆的破坏，防止结构发生脆性破坏为条件，推导了拉、压杆之间最小夹角与腹板的配筋率，腹板钢筋的屈服强度和混凝土的极限抗压强度等因素之间的关系表达式，得到了一些有意义的结论。     

风积沙填筑路基的施工技术探讨

结合内蒙古自治区某高速公路2标风积沙路基施工,阐述了风积沙路基的施工工艺和施工方法,详细介绍了施工中的关键环节控制,指出了施工中应该注意的事项,为风积沙地区合理利用风积沙填筑路基提供了一定的施工经验。     

巴基斯坦某浮式液化天然气(LNG)码头控制系统的解决方案

为系统研究巴基斯坦某浮式LNG码头工程的控制系统设计方法,针对浮式LNG码头特殊的系泊、靠泊和作业要求,绘出适合浮式LNG码头的控制系统框架;详细阐述船岸连接系统、消防控制系统、靠泊及辅助控制系统等各子系统之间的相互关系以及各控制子系统的具体配置;根据巴基斯坦某浮式LNG码头平面布置条件,通过研究各国规范相关规定、并结合现行国内控制系统设计标准,总结出一套区别于常规LNG码头控制系统的设计思路和解决方案。结果表明,浮式LNG码头在常规LNG码头搭建控制系统框架的基础上,在数据传输通道、线缆合理布局以及主控对象选择等方面,有进一步优化提升的空间。     

新型机车信号检测环线安装方法探究

针对目前传统的机车信号测试环线安装在钢轨内侧腰部存在一定的磁屏蔽、安装相对不是很容易、施工钢轨穿孔困难等缺点,结合具体施工等实际因素,设计并实现了一种成本较为低廉、安装方便、削弱构成磁屏蔽的一种机车信号测试环线支架法。该方法采用自主设计,特定加工的环线支架固定在钢轨上,环线通过支架安装在钢轨外侧,高度基本与钢轨高度水平。实践证明,这种环线支架法较之前传统的安装方式使用效果良好、信号检测稳定,设计经过实践检验基本合理,能满足机车信号的正常检测,在一定程度上优化了设计,方便了施工,达到了预期目标。     

Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment

The paper proposes a first-order macroscopic stochastic dynamic traffic model, namely the stochastic cell transmission model (SCTM), to model traffic flow density on freeway segments with stochastic demand and supply. The SCTM consists of five operational modes corresponding to different congestion levels of the freeway segment. Each mode is formulated as a discrete time bilinear stochastic system. A set of probabilistic conditions is proposed to characterize the probability of occurrence of each mode. The overall effect of the five modes is estimated by the joint traffic density which is derived from the theory of finite mixture distribution. The SCTM captures not only the mean and standard deviation (SD) of density of the traffic flow, but also the propagation of SD over time and space. The SCTM is tested with a hypothetical freeway corridor simulation and an empirical study. The simulation results are compared against the means and SDs of traffic densities obtained from the Monte Carlo Simulation (MCS) of the modified cell transmission model (MCTM). An approximately two-miles freeway segment of Interstate 210 West (I-210W) in Los Ageles, Southern California, is chosen for the empirical study. Traffic data is obtained from the Performance Measurement System (PeMS). The stochastic parameters of the SCTM are calibrated against the flow-density empirical data of I-210W. Both the SCTM and the MCS of the MCTM are tested. A discussion of the computational efficiency and the accuracy issues of the two methods is provided based on the empirical results. Both the numerical simulation results and the empirical results confirm that the SCTM is capable of accurately estimating the means and SDs of the freeway densities as compared to the MCS.     

边界扫描技术在某导航雷达控制电路板测试与诊断中的研究运用

针对某导航雷达控制电路板PCB中大量采用集成度很高的芯片,传统的测试方法无法进行测试与诊断的问题;通过对边界扫描技术的研究,运用边界扫描技术锯决高集成度、高性能的PCB板的测试与故障诊断;详细阐述了某导航雷达控制电路板的测试诊断策略以及测试诊断的开发流程。     

Optimization of a feeder-bus route design by using a multiobjective programming approach

This paper presents a feeder-bus route design model, capable of minimizing route length, minimizing maximum route travel time of planned routes, and maximizing service coverage for trip generation. The proposed model considers constraints of route connectivity, subtour prevention, travel time upper bound of a route, relationships between route layout and service coverage, and value ranges of decision variables. Parameter uncertainties are dealt with using fuzzy numbers, and the model is developed as a multiobjective programming problem. A case study of a metro station in Taichung City, Taiwan is then conducted. Next, the programming problem in the case study is solved, based on the technique for order preference by similarity to ideal solution approach to obtain the compromise route design. Results of the case study confirm that the routes of the proposed model perform better than existing routes in terms of network length and service coverage. Additionally, increasing the number of feeder-bus routes decreases maximum route travel time, increases service coverage, and increases network length. To our knowledge, the proposed model is the first bus route design model in the literature to consider simultaneously various stakeholder needs and support for bus route planners in developing alternatives for further evaluation efficiently and systematically.