液压机械无级传动系统综合控制策略研究

拟合出了发动机稳态输出转矩模型和燃油消耗率模型,给出了发动机最佳动力性和最佳燃油经济性的目标速比。在此基础上建立了液压机械无级变速传动系统和发动机的综合控制方案,给出了相应的油门-速比综合控制策略框图。最后应用Matlab/Simulink软件建立系统仿真模型对其进行仿真分析,仿真结果表明:所设计的综合控制策略能够实现最佳动力性和最佳燃油经济性控制。     

VxWorks环境下socket的实现

介绍了TCP/IP模型下socket的实现过程,详细阐述了socket接口所提供的常用函数及其使用方法,解决了嵌入式系统同PC或工作站之间的网络通信问题,并给出一种基于VxWorks操作系统的TCP服务器端的实现方法。     

海上油气田长距离输电方式研究与应用分析

从系统构成、拓扑结构、技术特点、经济成本等方面对高压交流输电、电流源型高压直流输电、电压源型高压直流输电技术几种常见长距离输电方式进行比选分析,重点论述了各种输电方式的优缺点、在海上应用的技术方案可行性以及适用情况。工程实际中,最优方案需根据负荷规模、输电距离、供电质量、经济成本等进行综合论证比选。在此基础上,侧重对电压源型高压直流输电在海上输电领域的应用进行了分析和论证,为其在海上油气田的应用和发展提供了技术基础。作为一种新型输电方式,可有效提高输电距离、减小海上平台面积、提高电力系统运行可靠性和稳定性,是未来海上油气田长距离输电技术的趋势。     

船舶智能感知车间的网络构建及系统应用

针对船舶制造现场缺乏实时感知系统、船舶制造车间未构建数据传输至工位的通信系统等问题,应用网络构建技术和信息采集与传输技术,构建船舶智能感知车间网络,实现船舶制造车间内部的“人、机、料”互联,达到数据采集的多源异构性和实时性,提高设备综合利用率和船厂管理水平。     

地铁车辆部件隔声性能指标研究

地铁车辆部件作为重要噪声传递路径,其隔声性能对车内噪声有重要影响。文章以我国某型地铁车辆部件为研究对象,通过建立车内噪声预测分析模型,研究了车辆部件的隔声性能指标。结果表明,改变车门、车窗和风挡的隔声量,对车内噪声的抑制效果最显著。     

在线监测系统在工业水管网中的应用

该文针对上海石化地区工业水管网的运行情况,研究了在线监测方法,建立了管网在线监测系统,并对系统运行效果进行了分析评价。研究表明,该系统反馈及时、信息准确、运行经济,可实现远端无人值守,提高水厂的运行质量。     

An efficient and exact event-based algorithm for solving simplified first order dynamic network loading problems in continuous time

In this paper a novel solution algorithm is proposed for exactly solving simplified first order dynamic network loading (DNL) problems for any generalised network. This DNL solution algorithm, termed eLTM (event-based Link Transmission Model), is based on the seminal Lighthill–Witham–Richards (LWR) model, adopts a triangular fundamental diagram and includes a generalised first order node model formulation. Unlike virtually all DNL solution algorithms, eLTM does not rely on time discretisation, but instead adopts an event based approach. The main advantage of this approach is the possibility of yielding exact results. Furthermore, an approximate version of the same algorithm is introduced. The user can configure an a-priori threshold that dictates the approximation error (measurable a-posteriori). Using this approximation the computational effort required decreases significantly, making it especially suitable for large scale applications. The computational complexity is investigated and results are demonstrated via theoretical and real world case studies. Fixed periods of stationary demands are included adopting a matrix demand profile to mimic basic departure time demand fluctuations. Finally, the information loss of the approximate solution is assessed under different configurations.     

Virtual 3D city model as a priori information source for vehicle localization system

This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi-sensor data fusion. Global Navigation Satellite Systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking, multipath phenomena and lack of visibility, especially in urban areas. That leads to degradation or even a total loss of the positioning information and then unsatisfactory performances. Dead-reckoning and inertial sensors are then often added to back up GPS in case of inaccurate or unavailable measurements or if high frequency location estimation is required. However, the dead-reckoning localization may drift in the long term due to error accumulation. To back up GPS and compensate the drift of the dead reckoning sensors based localization, two approaches integrating a virtual 3D model are proposed in registered with respect to the scene perceived by an on-board sensor. From the real/virtual scenes matching, the transformation (rotation and translation) between the real sensor and the virtual sensor (whose position and orientation are known) can be computed. These two approaches lead to determine the pose of the real sensor embedded on the vehicle. In the first approach, the considered perception sensor is a camera and in the second approach, it is a laser scanner. The first approach is based on image matching between the virtual image extracted from the 3D city model and the real image acquired by the camera. The two major parts are: 1. Detection and matching of feature points in real and virtual images (three features points are compared: Harris corner detector, SIFT and SURF). 2. Pose computation using POSIT algorithm. The second approach is based on the on–board horizontal laser scanner that provides a set of distances between it and the environment. This set of distances is matched with depth information (virtual laser scan data), provided by the virtual 3D city model. The pose estimation provided by these two approaches can be integrated in data fusion formalism. In this paper the result of the first approach is integrated in IMM UKF data fusion formalism. Experimental results obtained using real data illustrate the feasibility and the performances of the proposed approaches.     

基于文化粒子群网络优化算法的医学图像研究

文章提出了基于文化粒子群的网络优化算法的医学图像方法，通过在50例唇裂矫正术中运用BP神经网络进行学习．对唇部进行解剖观察和美学分析，在矫正修复手术中不断学习和调整来接近期望输出，并通过实验仿真及客观的图像提出了评估准则。实验结果表明，在美学研究基础上的基于文化粒子群BP神经网络的医学图像研究，适用于唇裂的矫正修复。     

海底地声参数对浅海低频声传播的影响

用分层介质中点声源激发声场的积分表示法得到海水中声源外任意一点的声场表达式,用波数积分的数值计算方法得到声场传播在距离上的传播损失,针对不同的海底沉积物参数进行了声场的仿真计算和分析,得出浅海低频声传播的基本规律和特点。