基于红外热成像的机车变流柜温度监测系统

为了防止机车变流柜内电气端子因电流过大造成电气火灾等问题,采用了无线通信技术、红外热成像技术和图像处理技术,设计并实现了机车变流柜温度实时监测系统;通过将系统采集模块放置于变流柜内部,在司机室通过PC机监测变流柜内部电气端子温度实时变化,试验表明：实时温度监测系统能够有效地反馈变流柜内部真实情况,监测温度误差不超过2℃,满足温度监测系统温度精度和实时性要求。     

无线传感器网络在步进电机运行状态监测中的应用

针对步进电机内部运行温度超过大约130℃将出现退磁,从而导致输出力矩下降乃至失步这一问题,结合无线传感器网络,采用了性能可靠、经过改进算法的定向扩散路由协议,设计了新型的步进电机运行状态无线网络监测系统,采用Atmega128L和CC2420设计了无线传感器网络监测节点,并利用该监测节点为终端对步进电机的运行温度进行实时监测,当步进电机的表面温度超过90℃后将发出警报并采取相应措施,保证了现场设备安全稳定运行.试验结果表明:该无线网络监测系统能够对温度信号进行实时有效的采集,满足生产现场实际监测的需要.     

高精度轻质无线测温系统研制与实现

作为航天器研制与试验当中的重要组成部分,高精度、高可靠的温度采集与监测,对航天器的设计与改进都具有重要的指导作用。为了满足对航天器内部环境和设备温度采集和测试要求,摒弃传统传感器有线布线方式,优化航天器整器装配周期,降低测温系统重量,提高系统可靠性,分析并设计了高精度轻质无线温度测量系统;该系统能够采集各测点的温度信号,再对信号进行运算处理后,通过无线网络传送给上位机进行数据分析和温度实时显示;后对系统性能指标及功能进行验证,证明了测温系统具有轻质、长待机时间、高精度、远传输距离和高可靠性等特点,满足单路温度采集系统重量低于2g,待机时间不少于240小时的任务指标要求,且可对航天器内部环境和设备温度进行实时监测与分析处理。     

基于ZigBee和MLX90614的铝电解槽温度监测系统的设计

针对铝电解槽侧壁传统温度检测误差大、时间不连续、成本昂贵、信噪比低等问题,设计了一种基于ZigBee和MLX90614非接触式红外温度传感器的铝电解槽侧壁温度监测系统.系统硬件选用CC2530为主芯片,MLX90614为温度测量传感器;系统软件基于TI公司的ZStack-2.5.1a协议栈进行设计,同时开发基于B/S模式(服务器/浏览器模式)的上位机软件帮助工作人员实时查看和分析温度数据.现场测试结果证明:该系统部署方便,网络数据传输可靠,节点采集温度的误差在3 ℃以内,上位机软件正常工作.该系统能够实现铝电解槽侧壁温度的实时监测.     

基于Internet的玻璃钢管道固化远程监测系统

为了满足玻璃钢（FRP）管道固化温度状态远程实时监测分析和远程监视固化现场情况的要求,本文介绍了FRP管道固化系统原理、内固化系统硬件结构以及视频监控的实现,采用了Socket编程技术和实时传输技术设计了基于Internet的FRP管道固化远程监测系统。实践结果证明该远程监测系统能及时反馈现场内固化视频图像和温度变化情况。     

基于GSM短消息的水情实时监测系统

本文采用基于GSM短消息的水情实时监测系统。该系统应用GSM短消息技术,实时采集水情数据并判断水情的变化。通过主控机实时查看和设置水文数据极限值;实现通过GSM进行自动、实时、准确的传输极限水文信息;通过现场终端监控仪设备实现部分设备的自动控制。     

DragonBoard智能家居监测系统

目前我国已经进入了老龄化社会,为加强老人生活安全保障,本文设计了一套智能家居监测系统。该系统基于DragonBoard 410C开发板,集成了火焰监测、有害气体监测、漏水监测等功能,并利用SIM900A进行短信发送提醒。在漏水监测中,通过舵机控制水泵的方式来应对安全隐患。该智能家居监测系统实时监测家庭中出现的安全隐患,能够满足当代社会对智能家居设计的基本要求。系统测试的结果表明,本文的智能家居监测系统可以有效地提高老人生活的安全性,对应对家庭安全隐患起到积极的作用。     

基于力控SCADA软件平台的重大危险设施监控方案

该文介绍了基于力控监控组态软件平台Force Control6．1的加油站安全监控及预警系统。采用新的检测技术、网络技术和SCADA软件技术并利用重大危险源现场的监测及监控设备（如视频设备和液位、温度、浓度、压力、流量等传感设备）来采集现场实时数据（包括压力、浓度、温度等）和视频图像,为安全生产相关部门提供实时数据、实...     

基于图像识别和激光扫描的铝污点定位系统的研究

利用视频图像识别和激光扫描测定相结合的方法定位铝污点的位置,图像识别排除了铝厂光照和物体阴影等环境变化的干扰,激光扫描提高了污点准确定位精度,通过图像阈值和区域增长算法检测出污点相对坐标,通过阶梯缩进算法准确指导电压卡用激光来定位污点位置,从而提醒并指引工人扫除铝污点;最终试验表明实现了污点及时检测和实时指定,减少了污点的错误判断率,从而解决了传统的人工视觉检测铝污点方法耗时、耗力、不精确、花费高等问题,提高了生产效率.     

Dynamic computer simulation and energy absorption of foam-filled conical tubes under axial impact loading

This paper treats the dynamic response and energy absorption of aluminum foam-filled conical tubes under axial impact loading using non-linear finite element techniques. The influence of geometrical, material and loading parameters on the impact response is investigated using validated numerical models. Results are quantified in terms of important impact response parameters and indicate that the foam filler stabilizes the crushing process and thus improves the energy absorption capacity. The superior performance of foam-filled conical tubes as impact energy absorbers is evident from the results. The research information generated will be useful in developing guidance towards the design of these devices in impact applications.     

A dynamic binary translation system in a client/server environment

With rapid advances in mobile computing, multi-core processors and expanded memory resources are being made available in new mobile devices. This trend will allow a wider range of existing applications to be migrated to mobile devices, for example, running desktop applications in IA-32 (x86) binaries on ARM-based mobile devices transparently using dynamic binary translation (DBT). However, the overall performance could significantly affect the energy consumption of the mobile devices because it is directly linked to the number of instructions executed and the overall execution time of the translated code. Hence, even though the capability of today’s mobile devices will continue to grow, the concern over translation efficiency and energy consumption will put more constraints on a DBT for mobile devices, in particular, for thin mobile clients than that for severs. With increasing network accessibility and bandwidth in various environments, it makes many network servers highly accessible to thin mobile clients. Those network servers are usually equipped with a substantial amount of resources. This provides an opportunity for DBT on thin clients to leverage such powerful servers. However, designing such a DBT for a client/server environment requires many critical considerations.In this work, we looked at those design issues and developed a distributed DBT system based on a client/server model. It consists of two dynamic binary translators. An aggressive dynamic binary translator/optimizer on the server to service the translation/optimization requests from thin clients, and a thin DBT on each thin client to perform lightweight binary translation and basic emulation functions for its own. With such a two-translator client/server approach, we successfully off-load the DBT overhead of the thin client to the server and achieve a significant performance improvement over the non-client/server model. Experimental results show that the DBT of the client/server model could achieve 37% and 17% improvement over that of non-client/server model for x86/32-to-ARM emulation using MiBench and SPEC CINT2006 benchmarks with test inputs, respectively, and 84% improvement using SPLASH-2 benchmarks running two emulation threads.     

风机实时在线监测系统

介绍了一种应用EntekXM系列模块,解决大型风机设备的实时监测以及保护问题的方案。通过这一系统,可以将风机设备运行期间的实时数据通过以太网传输至上位机进行处理,实现了实时监测与故障诊断,同时对于风机设备运行期间的异常情况能够及时的发出警报和跳闸信号。     

Energy consumption of data mining algorithms on mobile phones: Evaluation and prediction

The pervasive availability of increasingly powerful mobile computing devices like PDAs, smartphones and wearable sensors, is widening their use in complex applications such as collaborative analysis, information sharing, and data mining in a mobile context. Energy characterization plays a critical role in determining the requirements of data-intensive applications that can be efficiently executed over mobile devices. This paper presents an experimental study of the energy consumption behavior of representative data mining algorithms running on mobile devices. Our study reveals that, although data mining algorithms are compute- and memory-intensive, by appropriate tuning of a few parameters associated to data (e.g., data set size, number of attributes, size of produced results) those algorithms can be efficiently executed on mobile devices by saving energy and, thus, prolonging devices lifetime. Based on the outcome of this study we also proposed a machine learning approach to predict energy consumption of mobile data-intensive algorithms. Results show that a considerable accuracy is achieved when the predictor is trained with specific-algorithm features.     

Wi-Fi网络下多AP协作边缘计算资源分配策略

近年来, AR/VR、在线游戏、4K/8K超高清视频等计算密集且时延敏感型应用不断涌现,而部分移动设备受自身硬件条件的限制,无法在时延要求内完成此类应用的计算,且运行此类应用会带来巨大的能耗,降低移动设备的续航能力.为了解决这一问题,本文提出了一种Wi-Fi网络多AP (access point)协作场景下边缘计算卸载和资源分配方案.首先,通过遗传算法确定用户的任务卸载决策.随后,利用匈牙利算法为进行任务卸载的用户分配通信资源.最后,根据任务处理时延限制,为进行任务卸载的用户分配边缘服务器计算资源,使其满足任务处理时延限制要求.仿真结果表明,所提出的任务卸载与资源分配方案能够在满足任务处理时延限制的前提下有效降低移动设备的能耗.     

Unimorph and bimorph piezoelectric energy harvester stimulated by β-emitting radioisotopes: a modeling study

We use energy methods and lumped-element modelling in the analysis and optimization of a miniaturized aluminum nitride based piezoelectric energy harvester which utilizes tritiated silicon as an uninterrupted energy source. Tritiated silicon serves as a radioisotope source which emits energetic β particles that results in an electrostatic force between the radioactive source and collector that traps the emitted particles. The generated electrostatic force will drive the charging and actuating cycles of the piezoelectric cantilever leading to a continuous charge–discharge cycles, thus inducing vibrations in the piezoelectric cantilever. The energy generated from the piezoelectric thin-film is appropriately rectified and stored to provide continuous and uninterrupted electrical power to a low-power devices. The modelled results have been benchmarked against available experimental data for a unimorph piezoelectric harvester with very good agreement. Furthermore, the model was applied to a bimorph piezoelectric harvester, showing that the output power can be doubled in relation to a unimorph design. Moreover, the model accounts for the entire range of design and operating factors such as the ambient medium and associated damping losses, current leakage, and device scaling.     

基于Web的嵌入式设备监控模型的设计与实现

研究并实现了一种基于Web技术的嵌入式没备监控模型,使管理者可以通过Internet利用Web浏览器完成对现场设备的远程访问、监控和维护等操作,实现了异构设备之间的跨平台互访。对TCP／IP协议进行约简,实现了一个thin TCP／IP协议栈,为嵌入式设备提供了网络接口,实现了与Internet的无缝连接。嵌入式没备网关将TCP／IP协议与嵌入式设备监控协议之间的格式进行转换,实现了远程用户对现场设备的透明访问,具有智能化和远程管理的特点。通过对该模型性能的测试,结果表明基于Web的远程监控方式可以满足监控任务的需要,而且能有效降低监控运行维护成本、提高运行维护效率,具有实际应用价值。     

一种基于EI技术的嵌入式设备监控系统的设计与实现

设计并实现了一种基于EI技术的嵌入式设备监控系统,提出了基于B/S模式的系统软件体系结构,并详细讨论了嵌入式Web服务器、嵌入式设备服务器等功能的实现技术,使嵌入式设备具有智能化和远程管理的特点。管理者可以不受时空限制,通过Internet利用Web浏览器对设备进行远程访问、监控和维护等操作,实现了异构设备之间的跨平台互访,能有效降低监控运行维护成本、提高运行维护效率,具有实际应用价值。     

氧化铝薄膜式湿度仪的在线应用

通过对氧化铝薄膜式湿度仪工作原理的介绍，分析了此类湿度仪的良好性能，并比较了压力露点与常压露点的数值差异。针对宝钢冷轧厂能源车间的在线实际应用，较详细地分析了影响湿度测量的两种取样装置结构及其用途，以及介质的工作压力温度和响应时间对测量结果影响的剖析。该湿度仪可及时准确地测量湿度值，对使用在线氧化铝膜湿度仪的用户有所启发。     

Electromagnetic generator for harvesting energy from human motion

This paper presents an electromagnetic based generator which is suitable for supplying generating power from human body motion and has application in providing energy for body worn sensors or electronics devices. A prototype generator has been built and tested both by a shaker at resonance condition and also by human body motion during walking and slow running. The experimental results will show that the prototype could generate 300 μW to 2.5 mW power from human body motion. The measured results are analyzed and compared with the theoretical model.