医院建筑设备自动监控系统设计

根据现代化医院的特点,以某医院的工程项目为例,介绍了医院建筑设备自动监控系统的设计。通过对该系统经济效益的分析,说明了建筑设备自动监控系统在医院建筑节能中的重要作用。     

SynchroIBMS在智能建筑物联网应用平台中的作用

介绍了协同智能建筑集成管理平台（SynchroIBMS）和智能建筑物联网应用平台的原理、组成、功能及关键要素;同时对SynchroIBMS在智能建筑物联网应用平台中的作用作了简要的阐述,最后对SynchroIBMS在行业中的应用提出了展望。     

楼宇自动控制系统在智能建筑中的应用

随着智能化建筑在城市的发展,楼宇自动控制系统越来越重要。论文简要介绍楼宇自动控制系统在中国的发展概况,并结合实际工程叙述了楼宇自动控制系统在现代建筑中的应用。     

Synthesis of hexacelsian barium aluminosilicate by film boiling chemical vapour process

An original oxide/oxide ceramic-matrix composite containing mullite-based fibers and a barium aluminosilicate matrix has been synthesized by the film boiling chemical vapour infiltration process. Alkoxides were used as liquid precursors for aluminum, silicon and barium oxides. The structure and microstructure of the oxide matrix were characterized by Scanning Electron Microscopy, Energy Dispersive Spectroscopy and X-ray diffraction. Apart from small residual mullite and amorphous phase amounts, the oxide matrix is composed of the hexacelsian phase, conferring to the material interesting perspectives for high-temperature electromagnetic and structural applications.     

腰部外骨骼机器人线性自抗扰控制器参数优化

针对腰部外骨骼机器人线性自抗扰控制器参数难以调整的问题,本文提出一种基于天牛须搜索的改进粒子群算法(PSO)。建立腰部外骨骼机器人模型,采用线性自抗扰控制器,进一步引入改进的PSO对其进行参数优化。该算法通过混沌初始化种群,提高粒子执行效率;采用非线性策略调整惯性因子和学习因子,加强粒子的搜索能力;引入天牛须搜索算法与PSO结合,并采用自适应权重,使得粒子可对周边环境进行较好地判断,避免粒子陷入局部最优。分别通过6个测试函数和建立系统评价指标进行仿真实验,结果表明所提出的算法有更好的收敛精度,优化后的控制器具有更好的控制性能。     

BAS向BSR演进的方案及实施

随着社会信息化速度的加快,企业对信息的渴求日益增长。企业选择上网推销自己以及组建企业VPN的愿望,随之增加。然而VRVPN不但不能满足用户的需求,在构建与维护上也暴露出巨大的困难。本文主要介绍了BAS设备启动MPLS功能后,构建MPLSVPN的方法,从而使BAS设备演进为BSR设备。     

基于复合故障补偿因子的微电网反时限电流保护方法

为了解决逆变型分布式能源(Distributed Generator, DG)对微电网保护速动性和协调性的影响,提出了一种基于复合故障补偿因子和天牛须搜索(Beetle Antenna Search, BAS)算法的改进反时限微电网电流保护方法。首先,通过分析故障时保护安装处的电压分布特性,并结合测量阻抗特征构建复合故障补偿因子,以解决反时限过电流保护由于短路电流变化引起的动作延时问题,提高保护速动性。同时,为了解决DG接入、微电网运行方式改变等因素引起的微电网保护协调问题,利用BAS算法对改进反时限电流保护的参数进行优化,以保证相邻保护的协调配合。最后,在DIgSILENT/PF软件中建立微电网仿真模型,以验证改进方法的有效性。仿真结果表明,与传统反时限过电流保护相比,改进保护方法在速动性方面明显提升,且在微电网不同运行模式、故障条件下均满足协调性要求。     

溶胶-凝胶法制备BAS玻璃陶瓷

采用预先部分水解的正硅酸乙酯、正硅酸乙酯与乙醇钡之间的中和反应生成复合醇盐以及选择合适的醇盐混合次序等方法,在加水量为水／ 醇盐（ 摩尔比） ＝ ６ ～８ 的条件下,成功合成出均匀透明的ＢＡＳ（ＢａＯＡｌ２Ｏ３ＳｉＯ２） 凝胶．在干燥、焙烧与致密化处理后,获得具有８０ ％ 以上架状与纯架状分子网络结构、网络断键程度小于１２ ％ 的ＢＡＳ凝胶玻璃．其粉体经热压与热处理后,获得以单斜钡长石为主晶相的ＢＡＳ玻璃陶瓷,其室温的σｆ ＝ １３４ ＭＰａ,１２５０ ℃的σｆ ＝ １００ ＭＰａ,α＝ ４－５×１０ － ６／ ℃,有可能作为１ ２００ ℃以上工作的复合材料基体材料．     

自适应BAS优化RBF神经网络的短时交通流预测

为提高短时交通流预测精度,针对传统径向基函数(radial basis function, RBF)神经网络短时交通流预测模型中心值固定、易受漂移数据干扰问题,提出自适应天牛须搜索算法(beetle antennae search algorithm, BAS)优化RBF神经网络的短时交通流预测模型。模型采用自适应步长提高BAS算法迭代速度和寻优能力,结合DBSCAN聚类确定RBF神经网络隐含层径向基函数网络中心,进而优化神经网络结构。通过路网真实交通流数据进行训练,选择常用于短时交通流预测的BP神经网络,RBF神经网络,广义RBF神经网络进行对比。结果表明：优化后的模型预测结果相较BP神经网络平均绝对误差降低了1.87%、平均绝对百分比误差降低了15.96%、均方根误差降低了3.24%,拟合度提高了3.96%;相较广义RBF神经网络平均绝对误差降低1.36%、平均绝对百分比误差降低了5.01%、均方根误差降低了2.19%,拟合度提高了2.5%。改进后的短时交通流预测模型能够为智能交通诱导提供可靠的预测值。     

Beetle colony optimization algorithm-based node clustering scheme for efficient data dissemination in vehicular ad hoc networks

Vehicular ad hoc networks (VANETs) are the ultimate solution for preventing road accidents, which result in the loss of precious human life worldwide. In this context, effective communication between the vehicular nodes is essential due to the varying network topology and high vehicular mobility inherent with VANETs. Cluster-based routing is identified to be a significant approach for achieving efficient routing and improving communication proficiency in VANETs. In this paper, a beetle colony optimization algorithm–based clustering scheme (BCOACS) is proposed for generating optimized clusters for facilitating reliable data dissemination. This BCOACS algorithm includes two vital strategies such as beetle antenna search (BAS) and swarm intelligence for attaining inter-cluster and intra-cluster communications. In specific, BAS strategy that includes random search attributed toward gradient direction is used for intra-cluster communication without using the complete amount of gradient information. On the other hand, a swarm intelligence strategy that encompasses a collective approach of self-organized and decentralized agents is used for inter-cluster communication with the view to minimize the load on each cluster head (CH) and to extend the clusters' lifetime. The simulation outcomes of the proposed BCOACS scheme confirmed improved performance in optimizing the number of constructed clusters independent of the increase in the network grid size, transmission range, and number of vehicular nodes in the network compared to the benchmarked approaches. The results also confirmed that the proposed BCOACS scheme achieved a maximized throughput of 13.42%, with reduced delay and protocol overhead of 18.96% and 19.45%, better than the benchmarked schemes used for investigation.