低品位热能回收发电应用研究

本文介绍了一种有机朗肯循环(ORC)余热回收发电系统的研究情况,分析了影响系统热电效率的主要因素,讨论了本系统装置的市场应用前景.     

电子车辆识别技术的性能、安全性和成本分析及应用

电子车辆识别(EVI)是利用电子信号对车辆进行自动识别和监测的技术.随着RFID技术的不断发展,EVI应用的领域和范围不断扩大,这对EVI的性能、安全性和成本提出了更高的要求.     

基于PANDA软件的框架网坐标解算可靠性分析

应用高精度定位解算软件PANDA对框架网进行解算,并与Bernese解进行比较,探讨不同软件模型下框架网的点位坐标解算方法及其精度;通过算例表明PANDA软件的定位解算结果与Bernese的解有较好的一致性,表明PANDA软件有较高的可靠性和稳定性。     

基于有限元分析的五相感应电机参数计算

以自行设计的一台五相感应电机为例,分析了多相感应电动机内部的电磁关系,建立了多相感应电机二维静、瞬态电磁场考虑边界条件的偏微分方程,并在此基础上,对五相感应电动机的暂、稳态电磁场和电机性能进行计算;分别应用场算和路算方法计算了励磁电感,并与设计值进行对比,结果表明本文所用的电磁场计算方法准确有效。     

高铁预制道岔板钢筋绑扎技术改进

道岔是高速铁路(客运专线)无砟轨道线路的重要组成部分.以京秦客专为依托,针对工厂化大批量预制道岔板,面临钢筋绑扎费工费时等实际问题,分析了钢筋长度、间距等变化的特点,就道岔板钢筋绑扎技术进行了必要的改进,开发出“高速铁路预制道岔板钢筋网可调式预绑扎模架”技术和“带有保护功能的绝缘涂层钢筋撬移器”技术,取得良好效果,谨供类似工程参考.     

STCW公约马尼拉修正案背景下对高职航海技术专业实践教学的思考

文章概述了STCW公约马尼拉修正案对航海技术专业修改的主要内容及影响，并从实践教学出发．分析了现阶段高职航海技术专业实践教学中师资队伍、教学实训设备、教学内容等方面存在的问题，提出了相应对策和建议．以期为履约过程中全面的教学改革提供思路。     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

潮位变化对上海某越江盾构隧道变形的影响规律研究

为了探究潮位变化与越江盾构隧道的沉降和收敛变形之间的关联性,采用数据统计分析、相关性分析和周期性分析方法,对上海某越江盾构隧道的监测数据与同时期隧道上部的潮位变化进行研究分析。研究表明:1)江中段隧道在潮位变化的作用下产生均匀沉降,其波动性与潮位起伏具有近似的周期性;2)陆域段隧道沉降变化的波动性程度与河流的距离有关;3)潮位变化引起隧道管片断面的横径和竖径产生循环的收敛变形,其横径收敛变形大于竖径收敛变形。以上研究可为越江盾构隧道设计、施工和运维提供参考。     

小直径盾构施工中管片纵向应力监测研究

为了探索小直径盾构法隧道在施工过程中管片纵向应力的变化规律,对北京槐房再生水厂污水隧道管片纵向应力进行了现场监测:将第976环、第1 054环管片分别设为第1和第2监测断面,2监测断面各预埋5个纵向应力计,各监测断面从本监测断面管片安装后即开始监测,当盾构掘进至第1 129环时停止监测。研究表明:1)在管片离开盾尾50环后,其纵向应力波动值小于管片拼装期间应力值的5%。2)在盾构掘进期间,管片距离盾构越远,其纵向压应力值越小。3)在管片拼装期间,管片距离盾构越远,其纵向压应力经历了先增大后减小的过程。4)管片距离盾构108环后,该管片纵向压应力趋近于0.2~0.3 MPa。5)随着盾构推进,管片纵向应力经历了4个阶段的变化过程,即周期性剧烈波动阶段—动态稳定阶段—逐渐衰减阶段—趋于稳定阶段。     

A signal-based fault detection and classification method for heavy haul wagons

This paper proposes a signal-based fault detection and isolation (FDI) system for heavy haul wagons considering the special requirements of low cost and robustness. The sensor network of the proposed system consists of just two accelerometers mounted on the front left and rear right of the carbody. Seven fault indicators (FIs) are proposed based on the cross-correlation analyses of the sensor-collected acceleration signals. Bolster spring fault conditions are focused on in this paper, including two different levels (small faults and moderate faults) and two locations (faults in the left and right bolster springs of the first bogie). A fully detailed dynamic model of a typical 40t axle load heavy haul wagon is developed to evaluate the deterioration of dynamic behaviour under proposed fault conditions and demonstrate the detectability of the proposed FDI method. Even though the fault conditions considered in this paper did not deteriorate the wagon dynamic behaviour dramatically, the proposed FIs show great sensitivity to the bolster spring faults. The most effective and efficient FIs are chosen for fault detection and classification. Analysis results indicate that it is possible to detect changes in bolster stiffness of ±25% and identify the fault location.