智能混凝土超声波检测装置的研发

由于智能混凝土超声检测装置应用于野外桥梁检测,因此要求设备可实现长时间电池供电,体积小、重量轻,同时由于分析处理的信息量大,不仅包括声参量,而且包括每一测点的波形信息。在项目的总体设计思想方案的要求下,在分析超声仪的各个发展阶段的优劣的基础上,研制成功了新型的非金属超声检测仪。     

静探技术在尼罗河地质勘察中的应用

通过介绍静探技术的研究理论,比较了国内外常用的单、双桥探头的优缺点。依照英国场地勘察实施规范,利用静探技术对尼罗河覆盖层进行勘察,并结合钻探信息,验证了静探勘察所得地层信息的准确性,为设计提供了可靠的地质资料。     

基于CAN总线的汽车倒车控制系统研究

汽车倒车控制系统是一种智能电子监控系统。在驾驶员停车或倒车时,检测车辆侧面和后面的障碍物距离并输出方向盘转向提示,当障碍物与车之间的距离超过设定的域值及安全驾驶距离时倒车系统会发出声音报警,提醒驾驶员控制汽车与障碍物保持一定的安全距离。这样一来即使驾驶员视野处于盲区也能使车辆有效躲避障碍物,避免发生碰撞,从而实现安全倒车。     

交通网络中动态OD矩阵估计模型研究

动态起点-迄点（OD）矩阵为智能交通系统提供所需的基础数据。为了提高交通网络中动态OD矩阵估计的精度,在最小化路段实际交通量和分配交通量之间差值以及最小化历史OD矩阵和待估计OD矩阵之间差值的基础上,将浮动车采集信息融合到OD矩阵估计过程中;在动态网络加载过程中,OD矩阵估计值如果大于加载车辆数会使网络中的定点问题求解发散。为了避免该情况的发生,基于广义最小二乘模型并引入容量约束,提出1种带不等式约束的动态OD矩阵估计方法。仿真实验表明,该方法对于OD矩阵估计的精度较好,优于带滑动窗的广义最小二乘算法。     

Efficiency of routing and scheduling system for small and medium size enterprises utilizing vehicle location data

The routing and scheduling for trucks and vans in an urban road network depends critically on the state of the road network. Trucks and vans impose significant costs on other road users and the environment, so improved routing and scheduling benefits more than just the logistics industry. However, small and medium size enterprises (SMEs) in the logistics business cannot justify investment in planning systems. In this paper, an autonomous routing and scheduling system which is available to SMEs is proposed and the efficiency of the system is investigated. The proposed system accumulates vehicle location data in a central server and uses it to generate traffic information. Test simulations using a grid network demonstrate the effects of utilizing and sharing vehicle location data on delivery efficiency. The simulation results show that the improvement of delivery efficiency is mainly due to the reduction of penalty cost for early and late arrival at the customer location. It is also shown that the system leads to the buffer effect from variations in traffic conditions on delivery cost and this effect is enhanced by taking travel time uncertainty into consideration. It is further shown that the presence of measurement periods with insufficient data results in unreliable routing and scheduling. For a reliable system, data collection over a wider area is required rather than dense data in a subset of links.     

基于浮动车移动检测与感应线圈融合技术的行程时间估计模型

综合考虑到浮动车检测技术与感应线圈检测技术的优缺点,为了提高道路行程时间估计的精度及完备性,提出基于浮动车与感应线圈的融合检测技术的行程时间估计模型。该模型利用神经网络技术对两种检测技术同一路段的检测数据进行融合,从而达到提高道路行程时间估计精度和完备性的目的。最后,以广州市7 000多辆装有GPS装置的出租车所提供的浮动车数据、100多个安装在广州市各主要道路口上的感应线圈检测器提供的感应线圈数据以及广州市交通电子地图为基础,在10条道路上分别随机选取的500个两种检测数据对提出的模型进行了验证,试验结果表明,此模型在道路行程时间估计的精度方面较浮动车移动检测技术与感应线圈技术有较大提高。     

汽车整车传导抗扰度试验技术研究

通过理论计算和实际测量．将汽车整车抗扰度试验标准ISO 11451中大电流注入的闭环法和替代法2种试验方法进行了比较,探讨了测试仪器规格和严酷等级的实现程度,研究了电流探头相对位置对测量结果的影响。     

Bandwidth Numerical Analysis of Triangular Patch Antenna Fed by L-Shaped Probe

IntroductionA triangular patch antenna's major weaknessis its intrinsic narrow bandwidth.Some techniqueshave been suggested for widening its bandwidthsuch as the employmentof a thicker substrate witha coaxial feed[1] ,which will limit the achievablebandwidth due to the increased inductance of thelonger probe. Recently a novel feeding approachemploying an L- shaped probe has been devel-oped[2 ] ,butno numerical analysis has been provid-ed.Physically this L- shaped probe introduces a ca-pacitan…     

An extended generalized filter algorithm for urban expressway traffic time estimation based on heterogeneous data

Travel time estimation and its variation for urban expressways are vital to both the information provision to road users, and the system evaluation and management for traffic administrators. Fruitful research efforts have been made to develop methodologies of reconstructing spatiotemporal traffic states mainly for freeways based on one or multiple data sources. However, few studies specifically focused on urban expressways. There are more intensive merging and diverging traffic due to short distances between ramps, for example, 300–500 m. Based on the empirical analysis of traffic data collected on a typical segment of a congested urban expressway, this study proposes an extended generalized filter algorithm for the urban expressway traffic state estimation based on heterogeneous data. More specifically, the multiple sources of data include both fixed sensor data (e.g., inductive loops or radar data) and global positioning system (GPS) probe vehicle data. This study compares the proposed algorithm and the traditional algorithm for freeways using data collected on the segment of expressway in Beijing, China. Results demonstrate the advantage of the proposed method, as well as its feasibility and effectiveness.     

钢轨探伤车综合智能检测系统

大型钢轨探伤车普遍采用超声波检测钢轨内部疲劳伤损,但国内已有的超声波系统架构平台在复杂线路区间探伤检测运用时存在数据拥塞和计算机死机现象而导致区段漏检,并且伤损的识别主要依靠人工全程回放.为提高信号处理速度和伤损识别能力,降低人工回放的工作量,进行了基于新型总线的超声波探伤系统和基于卷积神经网络深度学习的伤损智能识别技...