TP1700型运梁车驱动系统同步控制设计与应用

TP1700型运梁车采用分体式4车独立驱动系统,针对其同步精度要求高的问题,进行了理论分析及仿真研究,提出了使用压力与转速信号的同步控制方法。基于液压传动系统的规律,将其简化成泵变量机构与泵控马达两部分。以某一车为基准信号,调节其余车泵的排量,根据系统结构特点,分别满足不同车之间压力同步或转速同步。利用AMESim软件对系统进行建模与仿真,通过与实测数据进行对比,验证了仿真模型的准确性和系统原理的正确性。仿真和实际使用结果表明,采用压力与转速信号的同步控制方法,能够有效保证系统的同步性。     

论造型线采用的几种驱动方式

对造型线常用的几种驱动方式（气压驱动、液压驱动和电机驱动）进行了历史回顾，介绍了各驱动方式的特点及适用范围，指出了各驱动方式在实际使用中存在的一些问题，并提出了在造型线设计中选用驱动方式的几点建议，对造型线设计有一定参考价值。     

手轮脉冲驱动均匀化控制

本文分析了数控系统手轮驱动存在的问题，提出了全新的手脉冲驱动均匀化控制法，这种方法基于运动控制芯片MCX314的“固定脉冲驱动过程中脉冲数可改变”这一性能来实现，在手轮大倍率快速放心转时驱动脉冲序列保持均匀高速输出，脉冲不会丢失，实现加减速控制和驱动速度控制，克服步进电机失步问题，解决了目前手轮驱动存在的一系列关键问题。     

不同组配P91钢焊接接头断裂性能分析

作为马氏体耐热钢，P91钢具有很强的抗氧化和抗高温蒸汽腐蚀性能，在大功率火力发电设备中得到广泛应用，而其接头的断裂性能对该材料的推广及应用至关重要。采用数值分析及实验的方法，讨论裂纹位于焊接接头的不同位置时，组配发生变化的焊接接头的断裂驱动力和断裂抵抗力。结果表明，材料组配的不同会对焊接接头的断裂驱动力产生一定的影响。从断裂阻力的角度来看，低组配焊接接头的断裂抵抗力要高于高组配。实际工程结构应采用低组配接头形式，以提高焊接接头的抗断性能。     

免烧粉煤灰制砖机液压驱动系统

为了推动我国制砖业的发展，提出了一种免烧粉煤灰制砖机的液压驱动系统，该系统利用输出力大，动作灵敏，实现过程无级调控的特点，再加上振动，使砖被压制成型。     

旋压机成型辊装置的运动机构设计与驱动力矩计算

分析了成型辊装置的工况条件及运动机构设计 ,提出了一种恒功率自适应同步容积调速系统 ,并对其驱动力矩进行理论计算与实测比较 ,分析、测试了该控制系统的相应的参数 ,为一步法封头冷成型机的系列设计提出具有参考价值的参数数据     

基于红外图像的眼睛开闭检测方法

基于红外眼睛图像,提出一种红外环境下判断眼睛开闭状态的方法,并应用于疲劳驾驶检测当中。对图像采用基于余弦的Gamma校正压缩灰度值域的高低两端,同时扩展中间灰度值范围提高对比度,使用多尺度Retinex变换消除阴影的干扰以获取更准确的眼睛形态,根据眼角角度和上下眼睑间的高度在平面坐标上的分布特征对眼睛状态进行分类。实验结果表明,该方法可以有效地判断眼睛的状态。     

An adaptive generation method for electrophoretic display driving waveform design

Electrophoretic display (EPD) technology is attractive when used for reading devices such as e‐paper because of its paper‐like appearance. EPD driving is more complex than other display technologies such as liquid crystal display or organic light emission diode because the driving result of a pixel strongly depends on the initial display state. The particle size and distribution in the EPD film may vary, even if the initial state is the same. Therefore, the display devices vary between different manufacturing batches. Furthermore, different display modes such as videos, pictures or documents need different driving waveforms to achieve an optimal result. EPD manufacturers need to build a customized driving waveform for every manufacturing batch. This is very inconvenient if new applications on EPD are to be developed. And the workload is huge. In this work, an adaptive method is described for automatically creating EPD driving waveforms to fit different conditions. The central idea of this method is generally adjusting the driving time and the voltage state after getting the feedback from a measurement model. In this method, a new driving waveform is used to reduce refresh time and visual flicker. The experimental results show that the proposed approach can automatically and adaptively generate an EPD driving waveform with reasonable quality.     

高分辨高灵敏度CCD图像传感器驱动时序设计

在分析面阵CCD图像传感器结构和驱动时序基础上,针对高分辨率高灵敏度ICX694ALG大面阵CCD图像传感器,研究其驱动时序发生器;以现场可编程门阵列(FPGA)作为硬件平台,通过Verilog HDL硬件描述语言对该驱动时序发生器进行了硬件描述,采用ISE软件进行功能仿真,并针对XILINX公司的可编程逻辑器件XC3S1000进行了硬件适配;仿真测试表明,FPGA驱动时序发生器能够满足高分辨高灵敏ICX694ALG大面阵CCD图像传感器驱动要求,达到了设计要求。     

Personal driving diary: Automated recognition of driving events from first-person videos

In this paper, we introduce the concept of personal driving diary. A personal driving diary is a multimedia archive of a person’s daily driving experience, describing important driving events of the user with annotated videos. This paper presents an automated system that constructs such multimedia diary by analyzing videos obtained from a vehicle-mounted camera. The proposed system recognizes important interactions between the driving vehicle and the other actors in videos (e.g., accident, overtaking, etc.), and labels them together with its contextual knowledge on the vehicle (e.g., mean velocity) to construct an event log. A decision tree based activity recognizer is designed, detecting driving events of vehicles and pedestrians from the first-person view videos by analyzing their trajectories and spatio-temporal relationships. The constructed diary enables efficient searching and event-based browsing of video clips, which helps the users when retrieving videos of dangerous situations. Our experiment confirms that the proposed system reliably generates driving diaries by annotating the vehicle events learned from training examples.