A real-time adaptive signal control in a connected vehicle environment

The state of the practice traffic signal control strategies mainly rely on infrastructure based vehicle detector data as the input for the control logic. The infrastructure based detectors are generally point detectors which cannot directly provide measurement of vehicle location and speed. With the advances in wireless communication technology, vehicles are able to communicate with each other and with the infrastructure in the emerging connected vehicle system. Data collected from connected vehicles provides a much more complete picture of the traffic states near an intersection and can be utilized for signal control. This paper presents a real-time adaptive signal phase allocation algorithm using connected vehicle data. The proposed algorithm optimizes the phase sequence and duration by solving a two-level optimization problem. Two objective functions are considered: minimization of total vehicle delay and minimization of queue length. Due to the low penetration rate of the connected vehicles, an algorithm that estimates the states of unequipped vehicle based on connected vehicle data is developed to construct a complete arrival table for the phase allocation algorithm. A real-world intersection is modeled in VISSIM to validate the algorithms. Results with a variety of connected vehicle market penetration rates and demand levels are compared to well-tuned fully actuated control. In general, the proposed control algorithm outperforms actuated control by reducing total delay by as much as 16.33% in a high penetration rate case and similar delay in a low penetration rate case. Different objective functions result in different behaviors of signal timing. The minimization of total vehicle delay usually generates lower total vehicle delay, while minimization of queue length serves all phases in a more balanced way.     

港口现有模拟化视频监控系统的数字化改造

为了提高对港口设备的监控水平，秦皇岛港口对SOLAS模拟监控系统实施了数字化改造。介绍监控技术的发展现状、设备背景和改造思路，以及改造所需的设备和改造方法。采用模拟与数字化相混合的数字监控系统，高效、安全，满足了生产需求。     

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.     

Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc.produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was impliedto treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.     

轨道交通信号设备实训课程体系的研究

高职院校以"服务为宗旨、就业为导向",与地方经济发展相结合,积极探索实践教学的方法,搭建技能型人才培养实践教学体系推动行业与自身的可持续发展。以此为出发点,建立一个完整而完善的信号设备实训课程体系,不仅有利于专业自身的发展,同时也对其他院校有着一定的借鉴意义。从而减少一些重复的工作,推动省内院校轨道信号相关专业整体水平的提升。     

某内燃机车司机室声固耦合噪声仿真分析

建立某内燃机车的白车身声固耦合有限元模型,对司机室的结构模态、空腔的声学模态以及声固耦合模态进行了分析计算,并在柴油机安装梁处施加单位激励载荷,对司机室前200 Hz的振动及声场响应进行计算分析.针对声场响应的仿真计算结果对声压的峰值产生的原因进行了详细的分析.结果表明:在91、119、131、143、170、198 Hz处由于司机室壁板共振产生了明显的声压峰值,在116、131、143以及164Hz处由于声固耦合使得声压级骤增,需要在实际操作中对该频域加以控制.     

定距桨直联稳频型轴带发电机系统

定距桨直联稳频型轴带发电机系统是在定距桨船舶上,通过双速比或多速比齿轮箱与自励无刷同步发电机相联接而成。其通过在主机遥控系统、主机控制与安保系统、电站管理系统、齿轮箱控制系统之间建立起复杂的逻辑关系,使相关控制、报警信号在不同系统中有序合理传递和反馈,从而达到建立一套低成本、硬件结构简单、电源品质高、能满足CCS、DNVGL等各大船级社无人机舱要求的新型定距桨直联稳频型轴带发电机系统FPP-DL-FSSG。文章介绍了该系统的作用、软硬件的构成和特点,分析了其优缺点并提出使用时的注意事项。对航运企业实行低成本运营以及节能减排具有重要意义。     

海上水声信号处理算法中的物理特性仿真研究

通过研究海上水声信号的产生和海上水声信号定位系统的构成,设计水声信号处理系统流程,指出陆地上的主控中心与水中的基站如何进行信号数据传递,以及环境噪声、传输损耗、多径传输、多普勒效应等物理特性对信号偏移产生何种影响。最后通过实验验证加入消除滤波器后可以有效地控制多普勒效应产生的频率偏移。     

一种基于DSP的实时图像处理仿真技术

海面运动舰船目标的定位检测是军事图像处理领域的一个重要方向,同时海面对光线的折射放射对检测的准确性造成了干扰。本文重点对目标检测法进行研究,分析了算法利弊。为解决目标检测算法对于目标背景的敏感度问题,以及提高算法的实时性,把小波变换运用到目标运动检测中,通过小波变换更新图像背景框图,使实时图像在可变模板背景进行运动物的提取。最后,设计基于DSP的仿真系统,通过实验证明新的方法能较好解决因背景更新以及目标物变形造成的检测误差,提高检测精度。