基于SOA的建筑设备物联网体系架构研究

为解决建筑设备物联网系统集成异构的建筑自动化子系统（如：中央空调系统、恒压供水系统、门禁系统等）和整合数据信息资源等问题,文中针对建筑设备物联网系统的自身特点,提出一种基于SOA的建筑设备物联网体系架构模型。重点阐述了该模型的架构组成和层次结构,并将该架构模型应用于建筑用电设备的物联网系统中。实验结果表明,基于SOA架构的建筑设备物联网能够有效整合物联网系统异构平台,且能够提高系统的安全性、可扩展性和互操作性。     

智能家居的“春天”来了

论述了智能家居的概念,着重阐述了智能家居及其核心技术的国内外发展历程,理清了智能家居的发展脉络。随后从技术、生产厂家、市场规模、消费者意识等方面论证了智能家居的“春天”已经来临。最后,对智能家居的未来发展进行了展望。     

Feedback stabilization for high order feedforward nonlinear time-delay systems

This paper investigates the problem of global strong stabilization by state feedback, for a family of high order feedforward nonlinear time-delay systems. The uncertain nonlinearities are assumed to satisfy a polynomial growth assumption with an input or delayed input dependent rate. With the help of the appropriate Lyapunov–Krasovskii functionals, and a rescaling transformation with a gain to be tuned online by a dynamic equation, we propose a dynamic low gain state feedback control scheme. A simulation example is given to demonstrate the effectiveness of the proposed design procedure.     

应用随机轨道模型研究颗粒在通风管道内的沉积

本文采用欧拉-拉格朗日法模拟了纳米-微米级颗粒在竖直以及水平通风管道中的沉积.首先,采用常用的RNG κ-ε两方程模型得到了时均流场,采用单向耦合的随机轨道模型产生了脉动速度并模拟了流场一颗粒之间的作用.而后,针对RNG κ-ε两方程模型会过高估计在扩散区以及扩散-碰撞区颗粒沉积速度的问题,提出了简便的修正方法,并与文献中的经验公式以及试验数据进行了对比.结果表明,应用本文提出的修正方法可以极大地提高欧拉-拉格朗日法模拟颗粒沉积的准确度.     

An FBG impact location system based on broadband light source and improved TDoA algorithm

When a structure material is damaged by impact events, the reliability and lifetime of the material will be severely affected. So impact location is considered as the prime approach for structural health and damage monitoring. In this study, a novel fiber Bragg grating (FBG) impact location system based on broadband light source is designed, aiming at the shortcoming of existing location systems based on FBG. An improved localization algorithm based on the time difference of arrival (TDoA) is proposed for impact location. According to this algorithm, the impact position can be accurately predicted without wave velocity. Impact planar location experiments are carried out for verification of the FBG impact location system and algorithm on a400 mm×400 mm×3 mm aluminum alloy plate. The resulted locating error shows high precision and good stability of the proposed system. This work has been supported by the National Natural Science Foundation of China (Nos.61503218, 61403233, 61573226 and 61473176), the Excellent Young and Middle-Aged Scientist Award Grant of Shandong Province of China (No.BS2013DX018), and the Natural Science Foundation of Shandong Province for Outstanding Young Talents (No.ZR2015JL021). E-mail:pangdan@163.com      

基于视觉传感器的老人突发失能检测

为解决坐、卧状态下老人突发失能检测失效问题,设计了基于视觉传感器的老人突发失能检测算法。使用包围盒选择性更新策略实现对老人静止状态下的检测。采用视频图像网格化处理将监控范围划分成多个子区域。统计老人进入不同子区域的次数和时间,并建立区域驻留时间高斯模型实现老人突发失能检测。实验表明,本文算法具有运行平稳,实时性好,无监控死角等特点,可有效检测独居老人坐、卧状态下的突发失能。     

电子设备对低压电网电压波形影响的分析

为了深入研究电子设备对电网电压波形的影响,寻找减小电子设备对电网电压波形影响的有效解决方案,该文以某教学楼内日光灯为例,对单相日光灯及供电线路进行电路结构分析,建立了电路模型。根据日光灯的工作特点,分阶段研究了供电线路末端的电压波形,给出了数学分析及数学解析图形。利用Matlab建模仿真和现场实验对计算结果进行了验证,供电末端日光灯承受的电压波形表明,电子设备过多利用电网电压峰值时刻的能量,使电网电压波形发生了畸变。     

Neuro-optimal operation of a variable air volume HVAC&R system

Low operational efficiency especially under partial load conditions and poor control are some reasons for high energy consumption of heating, ventilation, air conditioning and refrigeration (HVAC&R) systems. To improve energy efficiency, HVAC&R systems should be efficiently operated to maintain a desired indoor environment under dynamic ambient and indoor conditions. This study proposes a neural network based optimal supervisory operation strategy to find the optimal set points for chilled water supply temperature, discharge air temperature and VAV system fan static pressure such that the indoor environment is maintained with the least chiller and fan energy consumption. To achieve this objective, a dynamic system model is developed first to simulate the system behavior under different control schemes and operating conditions. A multi-layer feed forward neural network is constructed and trained in unsupervised mode to minimize the cost function which is comprised of overall energy cost and penalty cost when one or more constraints are violated. After training, the network is implemented as a supervisory controller to compute the optimal settings for the system. Simulation results show that compared to the conventional night reset operation scheme, the optimal operation scheme saves around 10% energy under full load condition and 19% energy under partial load conditions.     

接入云平台的吸收式制冷机组远程控制

本文针对新型吸收式制冷机组,设计了接入云平台的制冷机组远程监控系统.重点解决控制现场传感器分布分散、多网络协议异构与本地设备云平台接入的问题,实现了云平台与控制现场的数据共享及远程监控.控制现场采用现场总线技术,设计智能节点,搭建CAN传感器网络.通过嵌入式技术,设计了一款嵌入式云网关,网关采用数据缓存帧作为多协议转换的缓存器,采用无线模块建立与云平台的通路并使用EDP协议,实现控制现场信息对云平台的接入.在云平台设计了制冷机组云监控平台,通过设备信息的云注册与监控界面的设计,建立接入设备在云平台映射,完成机组运行参数在云平台的实时更新.本设计采用本地控制设备接入云平台的方法,实现了新型吸收式制冷机组本地实验数据远程共享和远程监控.     

改进的AES算法在智慧住区门户中的应用与实现

智慧住区信息门户系统中包含着大量及涉及居民生命财产安全的敏感数据,为了保证这些数据的保密性,采用优化的AES加密算法对这些数据进行加密,在保证数据安全的同时,减少了加密时间,从而减少了通信延时,提高了系统的性能.分析了高级加密标准AES的原理和加解密流程,针对AES算法加解密过程耗时相差较大的问题,在列混合和逆列混合运算时采用有限域GF（2^8）上最简形式的矩阵,减少了解密过程的运算量,使加解密过程耗时差减少了.在此基础上对加解密过程进行了合并优化,在保证加密速度的同时,减少了算法所占用的存储空间.在Visual Studio 2010平台上,使用C语言实现了几种AES优化算法在智能家居中的应用,结果显示,所提的优化算法有较高的执行效率,并占较少的存储空间.