RS485在门禁控制系统中的应用

现场总线是现代控制技术发展的热点之一.本文通过介绍广东省电力通信公司门禁一卡通系统,提出了一种适用于智能楼宇的基于现场总线技术的控制系统模式,分析了现场总线技术的特点,展望了现场总线技术的发展方向.     

3G无线传感器网络在智能配电网的应用研究

本文提出一种基于3G通信的无线传感器网络(简称3G无线传感器网络)在智能配电网中的应用模型,介绍了3G无线传感器网络的概念与应用特点,在分析配电网络结构的基础上给出了3G无线传感器网络的拓扑结构,提出了带冗余的混合路由模式,最后给出了配电网中3G传感器节点的设计.     

基于LonWorks水厂全分布式管控一体化网络前端智能节点的配置与实现

鉴于目前在水厂的自动控制中,多采用的是用PLC构成的集散式控制系统(Distributed Control System,DCS)。介绍采用现场总线技术(Fieldbus technology)构成全分布式管控一体化网络中前端智能节点的配置与实现。在此,首先介绍底层测控设备的类型与性能参数;进而介绍LonWorks智能节点的组成、性能和开发使用;最后,介绍该控制系统中前端智能节点的配置与实现。     

NetX片上系统数据采集与远程监控的设计与实现

NetX片上系统是实现分布式实时以太网通信的一种有效途径。文章介绍了NetX片上系统平台的配置访问技术;通过固件化协议栈加载,快速实现PROFINET控制总线集成控制和通信程序的设计;利用WebSever访问技术设计并实现了工业实时以太网设备间通信及状态监控。研究结果表明,在构建高性能工业实时以太网方面该系统具有很强的灵活性。     

基于激光传感器的自主寻径智能车设计

设计了一种基于激光传感器的自主寻径智能模型车系统,以飞思卡尔公司16位单片机MC9S12XS128为核心控制器;系统采用激光传感器阵列检测路径信息,得到智能车与路径的横向偏差,采用比例控制算法控制舵机转向,并对直流驱动电机进行增量式PID闭环调节控制,从而实现智能模型车快速稳定地自主寻径行驶。     

Intelligent semi-autonomous vehicles in materials handling

An increase in functionality of semi-autonomous vehicles (SAV) through the implementation of intelligent distributed control and smart sensing techniques is presented. In combination with a modular design approach, this facilitates system modification and improvement, combined with faster customisation of the platform. A distributed and reactive behavioural control architecture is used to realise local autonomous navigation capabilities; improved operator interaction; self protection and safer operation. A virtual engineering environment based on a computer-aided-graphics platform is used (1) for modelling the vehicle and the environment in which it can operate; (2) developing pre-emptive learning and training of responses/behaviours, and (3) for evaluation of vehicle functionality as part of an integrated materials handling system.     

Fractal model of a one-dimensional discrete signal and itsimplementation

An extended iterated-function-system (IFS) interpolation method is presented for modelling for a given discrete signal. To reduce the computing complexity a suboptimal search algorithm with a robust technique for estimating the IFS affine-map parameters is introduced. Simulation results show that the IFS approach achieves a higher signal-to-noise ratio than does an existing approach based on autoregressive modelling     

Just in time multimedia distribution in a mobile computing environment

Poor data rates often hinder the timely dissemination of multimedia content to users in a mobile computing environment. We describe an approach, based on dynamic and proactive precaching, to overcome these limitations. This approach, which we term intelligent precaching, is realized through the innovative deployment of intelligent agents on mobile devices.     

智能小车的多传感器数据融合

智能车辆是近年来发展起来的一门新兴综合技术，在军事、科研和工业中有广阔的应用前景。以电动小车为研究对象，分析了智能小车传感系统的各种特征值，包括智能小车的状态特征值和道路环境特征值，并建立了相应的坐标系。根据小车行驶的实际情况，设计了智能小车的多传感器系统，包括：传感器的种类、数量以及在智能小车上的安装位置。重点讨论了多传感器数据融合结构和融合算法。智能小车多传感器的数据融合结构采用混合式，融合算法采用贝叶新推理法。     

Inhabited Intelligent Environments

There is an increasing amount of research into the area of pervasive computing, smart homes and intelligent spaces, one example being that of the DTI-funded Pervasive Home Environment Networking (PHEN) project. Much of the current research focuses on environments populated by numerous computing devices, sensors, actuators, various wired and wireless networking systems and poses the question of how such computing environments might become ‘intelligent’? Often, the proposed solution is to explicitly preprogram in the intelligence. In this paper we discuss a solution based on embedded-agents which enables emergent intelligent behaviour by predominantly implicit processes. We describe an experimental test-bed for pervasive computing, the iDorm, and report on experiments that scope the agent-learning characteristics in such environments. We also introduce a more human-directed approach to programming in pervasive environments which we refer to as task-oriented programming (TOP).     

Soft computing applications in aircraft sensor management and flight control law reconfiguration

A sensor management system based on soft computing techniques has been developed and implemented in the flight control system of a small commercial aircraft. Unlike in the conventional sensor management system, the signals from sensors are assigned weights based on fuzzy membership functions and the consolidated signal is computed as a weighted average. This approach improves the quality of the consolidated signal and reduces transients due to sensor failures. This soft voting is extended to soft flight control law reconfiguration. In addition, a virtual sensor has been introduced as an arbitrator which enables the isolation of the failed sensor in the duplex operation and the detection of a sensor failure in the simplex operation. The effectiveness of the proposed methods is demonstrated by using an extensive simulation model of a small commercial aircraft, developed by airframe and control system manufacturers on the basis of an existing business jet. Furthermore, the system has been successfully evaluated and compared to standard techniques by means of pilot-in-the-loop simulations on the Research Flight Simulator of the National Aerospace Laboratory in The Netherlands. This application, developed within a Brite/EuRam research project, is characterized by the effective combination of novel soft computing techniques with standard, well proven methods of the aircraft industry. The properties of the conventional sensor management system have been retained, with the additional advantage that the quality of the consolidated signal is improved, the failure-induced transients are reduced, and the consolidated signal remains available up to the last valid sensor.     

基于计算机视觉边缘计算与算力网络的智慧园区应用研究

智慧园区是当下城市化发展的重要部分，而应用计算机视觉技术、边缘计算技术和算力网络技术，是建设智慧园区的重要手段。文中对基于计算机视觉边缘计算与算力网络的智慧园区应用进行了研究和探讨。首先，介绍了智慧园区的概念及其发展现状，接着详细阐述了计算机视觉、边缘计算和算力网络的基本原理和特点，重点介绍了基于这些技术实现的智慧园区应用场景，包括安防监控、智能停车、环境监测等，最后对未来智慧园区的发展趋势和研究方向进行了展望。     

机载多传感器管理专家系统设计方法探索

未来航空电子系统的一个主要特点就是智能化,利用专家系统可以达到机载多传感器智能管理的目的.简要介绍了多传感器管理的内容和目的以及飞行员助手,提出了一种机载多传感器管理专家系统结构方案,对知识库和推理机的设计方法进行了探索.     

Fault detection in sensor information fusion Kalman filter

An approach to the test of the sensor information fusion Kalman filter is proposed. It is based on the introduced statistics of mathematical expectation of the spectral norm of a normalized innovation matrix. The approach allows for simultaneous test of the mathematical expectation and the variance of innovation sequence in real time and does not require a priori information on values of the change in its statistical characteristics under faults. Using this approach, fault detection algorithm for the sensor information fusion Kalman filter is developed.     

基于物联网的节水灌溉自控系统研究

为提高农田灌溉用水利用率、降低灌溉用水成本,提出一种基于无线传感器网络和Internet技术的农田自动灌溉控制方法。重点分析了传感器网络节点路由协议,实现了系统硬件与软件设计,将各种传感器构成智能化传感器网络,从而全面提升了系统的自动化与监测水平。最后分析了该网络在Internet基础上实现某农厂的农田节水灌溉自控系统的实现方法,用户使用手机或无线PDA就可以方便地进行土壤含水量的在线监测与控制,实现了灌溉自动化。应用结果表明,系统通过嵌入式控制技术完成智能化灌溉,有助于改善农业灌溉用水的利用率和灌溉系统的自动化水平普遍较低的现状,可很好地实现节水。     

基于WSN的智能条形码识别系统

为了实现现代大型仓储、物流、超市对条码扫描设备的无线、长通信距离的要求,设计了一种基于无线传感器网络的智能条形码识别系统。该系统采用CC2430芯片为主要通信芯片,应用基于无线传感器网络操作系统TinyOS的CTP协议,从而有效地增加了通信距离。智能化的工作界面由C#编程语言编写,实现了商品的出库、入库、查询、智能提醒等功能。     

基于嵌入式技术智能灌溉系统设计

针对灌溉水利用系数较低,文中提出一种基于嵌入式智能灌溉控制系统。依托无线传感器网络采集灌区作物需水信息,汇聚到网关节点发送给主控中心,中心主机根据信息确定灌溉状态并计算灌水量,控制灌溉设备工作实现智能灌溉;依托Internet管理员有权对系统远程管理,满足了规模化灌溉的需求。根据示范区观测,灌溉水利用系数由原来的0．6提高到0．9。系统结合了无线传感、计算和网络通信技术,解决了精确农业亟待解决的关键技术问题。     

智能仪表的CAN接口设计

目前的现场总线不下十几种,各个现场总线的规范均不一样,都有各自的适用范围.其中CAN(Controller Area Network)总线以其高性能、高可靠性及独特的设计越来越受到人们的重视,并已被公认为几种最有前途的现场总线之一.介绍智能仪表中通用CAN通信接口的硬件设计与软件实现框图.     

Enabling intelligence in fog computing to achieve energy and latency reduction

Fog computing is an emerging architecture intended for alleviating the network burdens at the cloud and the core network by moving resource-intensive functionalities such as computation, communication, storage, and analytics closer to the End Users (EUs). In order to address the issues of energy efficiency and latency requirements for the time-critical Internet-of-Things (IoT) applications, fog computing systems could apply intelligence features in their operations to take advantage of the readily available data and computing resources. In this paper, we propose an approach that involves device-driven and human-driven intelligence as key enablers to reduce energy consumption and latency in fog computing via two case studies. The first one makes use of the machine learning to detect user behaviors and perform adaptive low-latency Medium Access Control (MAC)-layer scheduling among sensor devices. In the second case study on task offloading, we design an algorithm for an intelligent EU device to select its offloading decision in the presence of multiple fog nodes nearby, at the same time, minimize its own energy and latency objectives. Our results show a huge but untapped potential of intelligence in tackling the challenges of fog computing.     

Wireless passive sensor networks - [Accepted from open call]

The primary challenge in wireless sensor network deployment is the limited network lifetime due to finite-capacity batteries. Hence, the vast majority of research efforts thus far have focused on the development of energy-efficient communication and computing mechanisms for WSNs. In this article a fundamentally different approach and hence completely new WSN paradigm, the wireless passive sensor network, is introduced. The objective of the WPSN is to eliminate the limitation on system lifetime of the WSN. In a WPSN power is externally supplied to the sensor network node via an external RF source. Modulated backscattering is discussed as an alternative communication scheme for WPSNs. The feasibility is investigated along with the open research challenges for reliable communication and networking in WPSNs.