基于升参数的亚临界W火焰锅炉整体提效改造方案研究

对在役机组进行综合节能提效改造,有助于早日实现碳达峰。为提升燃用高硫无烟煤的亚临界300 MW等级W火焰锅炉机组能效水平,分析了主要影响因素和技术路线,对锅炉提升蒸汽参数、提高燃烧效率、降低排烟温度、机炉耦合等主要提效技术进行了可行性研究,形成整体改造方案,即升参数受热面改造+增设烟气暖风器+空气预热器漏风治理+磨煤机增容+风箱配风均匀性改造+燃烧系统局部适应性小改+增设低温省煤器。结果表明,针对设计参数为540 ℃/540 ℃的案例机组,升参数至574 ℃/572 ℃的整体提效方案可将机组供电煤耗降低25 g/(kW?h)以上。     

An Improved Hybrid Indoor Positioning Algorithm via QPSO and MLP Signal Weighting

Accurate location or positioning of people and self-driven devices in large indoor environments has become an important necessity The application of increasingly automated self-operating moving transportation units, in large indoor spaces demands a precise knowledge of their positions. Technologies like WiFi and Bluetooth, despite their low-cost and availability, are sensitive to signal noise and fading effects. For these reasons, a hybrid approach, which uses two different signal sources, has proven to be more resilient and accurate for the positioning determination in indoor environments. Hence, this paper proposes an improved hybrid technique to implement a fingerprinting based indoor positioning, using Received Signal Strength information from available Wireless Local Area Network access points, together with the Wireless Sensor Networks technology. Six signals were recorded on a regular grid of anchor points, covering the research space. An optimization was performed by relative signal weighting, to minimize the average positioning error over the research space. The optimization process was conducted using a standard Quantum Particle Swarm Optimization, while the position error estimate for all given sets of weighted signals was performed using a Multilayer Perceptron (MLP) neural network. Compared to our previous research works, the MLP architecture was improved to three hidden layers and its learning parameters were finely tuned. These experimental results led to the 20% reduction of the positioning error when a suitable set of signal weights was calculated in the optimization process. Our final achieved value of 0.725 m of the location incertitude shows a sensible improvement compared to our previous results.     

Equaliser Performance for HIPERLAN in indoor channels

In order to accomplish practical deployment modelling for system performance evaluation and comparison for possible modulation and equalisation schemes to be used in HIPERLAN, a wide band tapped delay line (WTDL) channel model has been adopted by ETSI to characterise the multipath fading in the indoor radio environment. Based on this statistical channel model, and using Monte Carlo method, this paper evaluates the average probability of error for linear and decision feedback equaliser as a function of signal-to-noise ratio. It also evaluates the matched filter bound for this channel model. The results show the optimum performance levels achievable via the use of any equaliser.The work described in this paper was supported by the UK DTI/EPSRC LINK project: PC2011 High Throughput Radio Modem under EPSRC grant reference GR/K00318 in collaboration with Symbionics Networks limited.     

基于残差帧的室内监控视频压缩算法

该文提出了一种基于残差帧的室内监控视频压缩算法。该算法是提取监控视频中相邻帧之间的残差帧,将残差矩阵对角化,传输运动数据,并在接受端根据接受到的背景参数和和残差帧运动参数,恢复出原图像帧,进而得到原监控视频文件;实验证明,该算法易于实现,且计算量小,适宜室内监控视频的压缩应用。     

太赫兹技术在室内无线通信中的应用

该文通过对太赫兹通信相关器件的总结和相关信道特性的分析,调研了近年来国内外相关实验的结果,对重点实验结果做了着重描述,总结出了未来室内无线通信可能的发展方向和亟待解决的问题。太赫兹波段是介于毫米波与远红外的电磁辐射频段。室内无线局域网的高数据率传输要求通信系统运行于更高的频率以获得更大的带宽。太赫兹频率范围未受军事管制,可实现Gbit/s数据率,并且太赫兹频域不像光频受环境噪声干扰那么严重。全固态室温太赫兹器件的研究为太赫兹无线通信系统奠定了基础。已探明适于未来太赫兹室内通信系统运行的大气窗口。基于飞秒激光门控光导天线的太赫兹通信链路实现了太赫兹波载波音频信号的调制和解调。     

浅析现代室内设计中的自然风尚

人们一直都在为自己营造着一个与大自然隔离的空间,文章针对这种回归自然的室内设计理念,提出现代室内设计中需要自然风尚的观点。从自然风尚的影响和理念形成入手,在物质和精神两个层面探讨了室内设计中,运用自然的空间装饰与光线处理、纳入与自然和谐的色彩元素、应用天然材料、创造性地利用废旧材料等装饰设计方法,可以带给人愉悦的心情和优雅、纯粹、自然与不凡的感受。     

基于RFID的边界虚拟参考标签定位算法

介绍VIRE室内定位算法的原理,针对VIRE算法对边界标签定位准确度低的问题,提出边界虚拟参考标签定位算法BVIRE。该算法通过建立线性回归方程,在边界处加入边界虚拟参考标签。仿真结果表明,在不额外增加参考标签且不增大射频干扰的前提下,BVIRE算法较原算法使靠近边界处待定位标签的定位准确度得到较大提高。     

一种改进的室内无线定位算法

为提高室内无线定位精度并降低算法复杂度,提出一种改进的室内无线定位算法,包含2种分支算法。以视距路径数为标准,将室内无线环境划分为非视距污染较轻和较重2种环境。对污染较轻的环境,采用改进的Fang-Taylor级联算法;对污染较重的环境,采用新的迭代定位算法。仿真实验结果表明,该算法能达到甚至超过同类算法的定位精度,且适应多种室内无线环境,提高对环境的鲁棒性。     

机器人学习的可编程超声波传感器阵列摄像定位系统

提出一种用于摄像机室内移动物体定位的超声波传感器阵列,通过机器人学习的可编程软硬件来实现的系统。该传感器阵列可被编程设定为11对发送/接收器,通过传感器阵列初始化时所采集的静态环境数据与被定位对象进入静态环境时所采集的数据作比较,结合不可能概率事件与采样数据的正态分布及几何学的相交定位思想,以最大似然估计、最小方差计算等作为编程机制,得到水平定位极坐标。实验表明:其精准定位水平方向角为7.5°,定位目标更新周期为200 ms,1.2 s内锁定目标。并实现灵活变倍与聚焦,满足人们对于室内摄像机的定位要求。     

基于ATmega128的多参数室内环境监测仪的设计与实现

为了有效克服目前国内的环境监测仪器可测参数单一、不能实时监测环境的变化、采集精度低以及无报警措施的缺点,研制了基于ATmega128单片机技术和传感器技术的室内环境监测仪.多参数室内环境自动监测仪能够对温湿度、CO、甲醛、CO2、SO2,以及可吸入颗粒等多参数进行动态测量、实时分析、自动分等级报警,并根据测量结果,采取相应的反馈动作.已对监测仪的各个模块进行软硬件调试,系统工作稳定,参数的测量误差均在允许范围之内,可投入使用.