基于PLC和WINCC的锅炉控制系统

以实际的工业锅炉为对象,设计了一种工业锅炉自动控制系统。该系统由上位机和下位机两大部分组成,上位机与下位机通过现场总线网络连接。本系统将可编程序控制器、组态软件与工业控制计算机相结合,采用计算机控制,替代了传统的控制,实现了汽包水位、燃烧、炉膛负压、蒸汽压力自动控制,达到较高的控制精度。     

多波速在扫海测量中的分析

扫海测量主要探明扫测范围内是否存在危及航道安全的障碍物，以确定最浅通航水深并绘制水下地形图。介绍了多波束在扫海测量中的作业方法，分析了工作中影响精度的主要因素，     

噪声与脉动压力的信号特征及其采集处理

作者根据螺旋桨空化噪声或激振力的产生机理,分析了它们的时间域和频率域特性,指出在噪声和激振力的信号处理中,必须实现对采样起始的控制及宽频域的高速采集.文中简要叙述了“高速采集贮存,慢速传送微机”系统的设计思想,介绍了以瞬态波形存贮器和微机为主体的多功能采集处理系统,并绘出了系统运行的一些实例图.文章还就数字信号处理的基本原理和瞬态波形存贮器的特点,论述了系统所具有的若干独特功能及其在水动力学研究中的应用前景.     

工程爆破振动信号分析中的小波方法

应用小波 富里叶综合分析方法对爆破振动信号进行时频域分析, 从爆破振动测试信号中分离出真实的振动信号, 并对爆破振动信号的频率特征进行精细地分析． 从而为在爆破振动安全规程中引入速度 频率准则提供了一种可行的技术手段     

城市道路复合交叉口交通渠化设计方法研究

复合交叉口渠化设计对于提高交通服务水平,保证交通安全,解决城市交通拥挤问题有非常重要的意义.以泰州一典型复合交叉口为例,通过多方案的设计及比选,提出了复合交叉口渠化设计的思路、程序和方法,并对所选择的设计方案进行了仿真测试,结果表明所选择的设计方案优于其他备选方案,改善了原有交叉口交通流的紊乱现象.文章所提出的方法对此类交叉口的设计提供了一个参考.     

Incorporating insights from signal optimization into reservation-based intersection controls

Reservation-based intersection control for autonomous vehicles has the potential to make greater use of intersection capacity. Indeed, previous studies on the first-come-first-served (FCFS) policy (which prioritizes vehicles by order of their reservation request) have shown improvements over optimized signals. However, in certain situations, such as asymmetric intersections, FCFS easily performs worse than signals. To address this issue, we propose two new reservation policies, WEIGHTED and PHASED. WEIGHTED weights vehicle delay by signal timings, and PHASED simulates a signal but allows red phase turning movements that will not cause a collision. We test these policies on a city network and an arterial bottleneck intersection subnetwork and show that PHASED performs better than WEIGHTED in some scenarios, and vice versa. Furthermore, we show that using a combination of PHASED and WEIGHTED can perform better than using either one alone for the entire network. Results show that these policies provide effective and easily implemented alternatives to FCFS for reservations.     

Estimating performance of traffic signals based on link travel times

Recent advances in communication and computing technology have made travel time measurements more available than ever before. In urban signalized arterials, travel times are strongly influenced by traffic signals. This study presents a novel method based on well‐known principles to estimate traffic signal performance (or more precisely their major “through” movements) based on travel time measurements. The travel times were collected between signals in the field by using point‐to‐point travel time measurement technologies. Closed‐circuit television cameras and signal databases were used to collect traffic demand and signal timings, respectively. Then, the volume/capacity ratio of major downstream signal movements was computed based on demand and signal timings. This volume/capacity ratio was then correlated with travel times on the relevant intersection approach. The best volume‐delay function was found, along with many other functions, to fit the field data. This volume‐delay function was then used to estimate volume/capacity ratios and, indirectly, a few other signal performance metrics. The method, called travel time‐based signal performance measurements, was automated and displayed on a Google Map. The findings show that the proposed method is accurate and robust enough to provide necessary information about signal performance. A newly developed volume‐delay function was found to work just slightly better than the Bureau of Public Roads curve. Several issues, which may reduce the accuracy of the proposed method, are identified, and their solutions are proposed for future research. Copyright © 2016 John Wiley & Sons, Ltd.     

Radar Emitter Signal Recognition Based on Complexity Features

Intra-pulse characteristics of different radar emitter signals reflect on signal waveform by way of changing frequency, phase and amplitude. A novel approach was proposed to extract complexity features of radar emitter signals in a wide range of signal-to-noise ratio ( SNR), and radial basis probability neural network (RBPNN) was used to recognize different radar emitter signals. Complexity features, including Lempel-Ziv complexity (LZC) and correlation dimension (CD), can measure the complexity and irregularity of signals, which mirrors the intra-pulse modulation laws of radar emitter signals. In an experiment, LZC and CD features of 10 typical radar emitter signals were extracted and RBPNN was applied to identify the 10 radar emitter signals. Simulation results show that the proposed approach is effective and has good application values because average accurate recognition rate is high when SNR varies in a wide range.     

城市交通信号配时的免疫算法

城市交通信号的在线控制可以归结为复杂动态环境下的优化问题,因此其配时算法要求具有快速的环境适应能力.生物免疫系统面对复杂的外部环境能够快速产生抗体,在变化的环境中体现出强大的优化能力和自适应能力.借鉴免疫机理提出的免疫算法在用于求解复杂动态环境下优化问题时能够取得较好效果.本文将免疫算法用于城市交通信号配时的在线优化控制,仿真结果表明该算法能够获得较好交通流实时控制效果.     

A reverse causal-effect modeling approach for signal control of an oversaturated intersection

A novel approach is presented in which signalized intersections are treated as normal highway bottlenecks for improved computational efficiency. It is unique in two ways. First, it treats the signalized intersections as common freeway bottlenecks by a reversed cause and effect modeling approach. Both traffic arrivals and departures are modeled by smooth continuous functions of time as if there were no interruptions to traffic flows from signals. The use of smooth continuous functions for departure curves instead of commonly used step functions makes it easy to apply differential calculus in optimization and future extension to a system of intersections. Second, a dynamic linear programming (LP) model is then developed to maximize the total vehicular output from the intersection during the entire period of congestion subject to prevailing capacity and other operational constraints. The continuous optimal departure flow rate (the effect) is then converted to signal timing parameters (the cause) that can be readily implemented. Two numerical examples are presented to demonstrate the properties of the proposed algorithm and examine its performance.