基于ZigBee的风电机组远程监测系统设计与实现

现有的风电机组监控系统主要采用有线或人工巡检的方式,不仅耗费了大量的财物和人力,并且不能实时地、高效地监控设备运行状态。为了解决风电机组监控系统中存在的弊端,提出了基于ZigBee的风电机组远程监控系统。系统由传感器采集节点、网络协调节点,以及监控中心节点组成。采用CC2530处理器,控制传感器采集风电机组运行状态参数,在协调节点汇聚,通过3 G网络传到远程监控中心。该系统具有实时性强,稳定性好,具有一定的推广前景。     

GPRS在无线传感器网络远程通信中的应用

无线传感器网络是由多种类型节点组成的分布式网络.通用节点采用短距离的射频通信和中继完成更远距离的传输.为实现无线远程通信,采用通用分组无线业务(GPRS)公共无线网络.汇聚节点收集无线传感器网络采集的数据,通过网关节点接入GPRS公用无线移动网络.监控中心通过Internet和GPRS网络获取无线传感器网络的远程数据.介绍了无线传感器网络测量系统的组成,在嵌入式系统中接入GPRS的网络接入方法,给出了实验结果.     

基于IPv6的WSN图像监控系统的设计与实现

为拓展无线传感器网络的应用,设计并实现了一种基于IPv6无线传感器网络的图像监控系统。系统在IPv6的环境中实现了红外传感器节点控制,图像传感器节点以ARM作为处理器,在嵌入式Linux中设计V4L程序实现采集实时图像,图像汇聚到网关后,网关利用多种Internet接入方式将信息返回到客户端。网络中融合了多种类型的数据,系统分别采用IEEE802.15.4和WiFi方式进行传输,可以提高网络传输效率与可靠性,并能够方便地用于入侵检测等多媒体图像监控方面。     

基于Zigbee和GPRS的远程水质监控系统

为了满足远程水质监控的需求,设计了一种基于Zigbee和GPRS的远程水质监控系统。该系统采用CC2530模块构建无线水质数据采集网络,通过双串口单片机STC12C5A60S2实现数据汇聚和对GPRS模块的控制,利用GPRS模块接入Internet,通过TCP/IP协议将水质数据发送到数据管理中心,实现对水质的远程监控。实验结果表明,该系统组网简单,系统稳定性高,成本较低,达到了设计要求,有广阔的应用市场。     

基于ZigBee和WLAN的智能家居监控系统的设计

综合zigBee无线传感器网络和无线局域网(WLAN),设计了集多传感、分布式处理和事件触发监视于一体的具有双层网络结构的智能家居多媒体监控系统.ZigBee网络由标量传感节点和多媒体传感节点(网关)基于IEEE 802.15.4/ZigBee协议构建.负责采集标量数据上传到WLAN或执行来自上层的指令.多媒体传感节点基于WLAN连接到远程监控中心形成远程视频监控网络,将ZigBee网络上汇聚来的传感数据、报警信号和压缩视音频流等多媒体数据发送到监控中心及用户.利用此系统,为用户提供家居环境参数监测、报警、事件触发或持续的远程家居监控功能.     

基于物联网的水质监测系统设计

针对传统水质监测方式中存在的测试周期长、数据反馈速度慢等弊端,本文提出一种智慧型水质实时监测系统。本系统以无线传感器网络、网络摄像机以及各类水质污染监测传感器以及后台数据库为核心,开发具有自愈能力的自组网小型水质监测系统,实现对水产养殖用水的水位、溶解氧、PH值、温度、图像等多参数的采集,并通过无线网络实现传感器检测节点和协调器节点之间数据快速、准确的传输,进而对多参数进行实时远程监测,解决水产养殖业水质实时监测和管理问题。     

基于zigbee的风电机舱火灾预警系统设计

摘要：为了解决风电机组中火灾隐患带来的损失,提出了基于ZigBee的风电机舱的火灾预警系统。系统由传感器采集节点、网络协调节点,以及监控中心节点组成。采用CC2530作为处理器来控制传感器采集风机舱内主要的火灾隐患位置,在协调节点汇聚,通过GPRS网络传送到远处监控中心。通过实验和测试,系统运行稳定,可靠性高,预警准确,能够有效的监测各区域的各个时间段的运行情况,能够保证风电机组安全、稳定的运行。     

基于ANT技术的矿井安全预警系统设计

为了实现矿井的安全生产,避免矿井事故的发生,设计了一种基于ANT技术的矿井安全预警系统,主要是针对井下瓦斯浓度的安全预警。系统由传感器节点、中心节点、监控中心计算机及后台软件组成。通过对井下工作区域部署无线传感器网络,将通道采集到的数据以多跳形式传输到中心节点,然后通过无线传输网络传回监控中心,实现对矿井安全生产环境的实时监控。     

基于ZigBee无线传感网络技术的污染气体监测系统

无线传感器网络技术已日趋成熟,为了能实时、有效地对污染气体排放企业进行监控,可采用Zigbee技术对污染气体进行自动监测。设计中的无线收发模块采用XBee—PRODigiMesh900芯片,利用单片机作为控制芯片,通过无线通信方式形成的一个多跳自组织网络,将采集的数据经过处理变成串行数据后发送给汇聚节点,再由汇聚节点发送到控制中心。利用NS2进行了网络仿真,通过仿真,网络运行良好,丢包率低,延迟时间短,满足系统自动监测的需求。     

基于ZigBee的无线传感网络的设计与实现

如果需要对条件比较恶劣的工作环境进行监测,ZigBee无线传感网络是非常合适的选择。基于ZigBee的无线传感网络能够利用无线传感器、协调器和监控中心等形成一个无线网络,该网络的监控节点主要通过无线传感器获取监控信息,然后通过协调器和监控中心的嵌入式网关连接起来。这是一种基于簇的分层结构,其具有分布式处理能力,能将获取的信息经过簇头的融合后,通过RS 232接口直接将数据传送给监控中心。     

基于ZigBee和CDMA的温室远程测控系统的设计

针对农业数据远程测控的实际需求,本文进行了基于ZigBee协议和CDMA通信技术的温室远程测控系统的设计开发。以支持ZigBee协议的芯片CC2520来构建传感器节点和汇聚节点,以CDMA无线通信模块构建能与INTERNET进行数据连接的网关。传感器节点采用星型拓扑结构组成无线传感器网络后,采集数据并将测量数据发送给汇聚节点,再由汇聚节点发送刮网关,最后网关将数据通过互联网远程传输至测控中心。该测控系统能耗少,组网灵活,安装维护便捷,适合大规模温室的远程无线实时测控。     

LoRa-Based WSNs Construction and Low-Power Data Collection Strategy for Wetland Environmental Monitoring

The wetland that known as "the kidney of the earth" is an ecological system with many resources. Monitoring of wetland environment includes the monitoring of water quality, air and soil. The parameters of temperature, pH value, turbidity, dissolved oxygen (DO), water level, conductivity of water, illuminance, PM2.5, harmful gas, and soil moisture is particularly important for the survival of animals in wetland. Real-time monitoring wetland environment is conducive to understanding the causes and trends of environmental change in the whole region, so as to make environmental change emergency strategies timely. The author introduces a real-time monitoring system based on Multi-sensor Combination Module (MSCM) and LoRa. This system has two types of MSCM, one is for water and the other is for air. The MSCM for water consists of six sensors, such as water temperature sensor, pH sensor, turbidity sensor, dissolved oxygen sensor, conductivity sensor, and water level sensor, and stm32 core processor, which has the advantages of low power consumption and high speed. The data collection node uploads the collected data to the base station through a LoRa module with low power consumption, high speed and wide coverage. The base station and the collection node are connected in a star. The LoRaWan protocol is used to realize the communication between acquisition nodes and sink. In the case of code rate is 4/5, bandwidth is 500 kHz and spreading factor is 12, the effective throughput of the system can reach 1172 bps. At the same time, a data fusion algorithm based on fuzzy decision is designed for data processing on the acquisition nodes to reduce the amount of uploaded data, reduce power consumption and improve network throughput. Experiments show that the system has strong stability, flexible networking, low power consumption, long communication distance, and is suitable for wetland environmental monitoring.

     

基于Solinst Levelogger3001水质参数采集处理系统的研究

采用Solinst Levelogger3001水质传感器与PC机构建了水质采集处理系统,利用Visual C＋＋6.0的MFC框架及MSComm控件编写了采集处理软件。根据通信协议完成了主机和水质传感器之间通信,并对读取到的数据处理后利用MSChart控件实时显示,从而达到水质参数实时显示和实时监控。通过与随机采集处理软件实验比对表明,采集处理结果正确,达到了实时采集监控的目标。     

Fish bone structure based data aggregation and routing in wireless sensor network: multi-agent based approach

Wireless sensor networks (WSNs) are constrained by limited node (device) energy, low network bandwidth, high communication overhead and latency. Data aggregation alleviates the constraints of WSN. In this paper, we propose a multi-agent based homogeneous temporal data aggregation and routing scheme based on fish bone structure of WSN nodes by employing a set of static and mobile agents. The primary components of fishbone structure are backbone and ribs connected to both sides of a backbone. A backbone connects a sink node and one of the sensor nodes on the boundary of WSN through intermediate sensor nodes. Our aggregation scheme operates in the following steps. (1) Backbone creation and identifying master centers (or nodes) on it by using a mobile agent based on parameters such as Euclidean distance, residual energy, backbone angle and connectivity. (2) Selection of local centers (or nodes) along the rib of a backbone connecting a master center by using a mobile agent. (3) Local aggregation process at local centers by considering nodes along and besides the rib, and delivering to a connected master center. (4) Master aggregation process along the backbone from boundary sensor node to the sink node by using a mobile agent generated by a boundary sensor node. The mobile agent aggregates data at visited master centers and delivers to the sink node. (5) Maintenance of fish bone structure of WSN nodes. The performance of the scheme is simulated in various WSN scenarios to evaluate the effectiveness of the approach by analyzing the performance parameters such as master center selection time, local center selection time, aggregation time, aggregation ratio, number of local and master centers involved in the aggregation process, number of isolated nodes, network lifetime and aggregation energy. We observed that our scheme outperforms zonal based aggregation scheme.     

Nature inspired discrete firefly algorithm for optimal mobile data gathering in wireless sensor networks

Nowadays wireless sensor networks enhance the life of human beings by helping them through several applications like precision agriculture, health monitoring, landslide detection, pollution control, etc. The built-in sensors on a sensor node are used to measure the various events like temperature, vibration, gas emission, etc., in the remotely deployed unmanned environment. The limited energy constraint of the sensor node causes a huge impact on the lifetime of the deployed network. The data transmitted by each sensor node cause significant energy consumption and it has to be efficiently used to improve the lifetime of the network. The energy consumption can be reduced significantly by incorporating mobility on a sink node. Thus the mobile data gathering can result in reduced energy consumption among all sensor nodes while transmitting their data. A special mobile sink node named as the mobile data transporter (MDT) is introduced in this paper to collect the information from the sensor nodes by visiting each of them and finally it sends them to the base station. The Data collection by the MDT is formulated as a discrete optimization problem which is termed as a data gathering tour problem. To reduce the distance traveled by the MDT during its tour, a nature-inspired heuristic discrete firefly algorithm is proposed in this paper to optimally collect the data from the sensor nodes. The proposed algorithm computes an optimal order to visit the sensor nodes by the MDT to collect their data with minimal travel distance. The proposed algorithm is compared with tree-based data collection approaches and ant colony optimization approach. The results demonstrate that the proposed algorithm outperform other approaches minimizing the tour length under different scenarios.     

一种移动多Sink无线传感器网络监测系统

军事防御、灾害监测与救援等危险/恶劣环境监测是无线传感器网络的典型应用。在此面向危险/恶劣环境监测需求,设计并构建移动多Sink无线传感器网络监测系统,实现环境信息感知、便携式移动指挥、事件定位、移动用户生理监护、多模态（语音、图像、文字等）交互等功能。实验测试结果表明,当网络中存在2个移动Sink节点时,网络平均延时小于100 ms,网络丢包率小于6%,可满足网络实时性要求不高的应用。     

Maximizing lifetime of large-scale wireless sensor networks using multi-objective whale optimization algorithm

Telecommunication Systems - The sink nodes in large-scale wireless sensor networks (LSWSNs) are responsible for receiving and processing the collected data from sensor nodes. Identifying the...     

CAN总线在海洋数据监控系统中的设计与实现

针对海洋环境远程数据监控的实际需要,研制了一种基于高速混合单片机的海洋数据监控系统的硬软件设计方法.该系统利用C8051 F040及其内置模块的功能作为系统的控制核心,利用CAN总线作为控制系统各个传感器节点的连接总线,构成现场传感器节点网络,并通过上位机实时显示现场数据.经实验结果表明,该监控系统在传输速率为9600...     

基于ZigBee的远程医疗监护系统研究与实现

针对我国医疗资源紧缺及预防治疗体系不够完善的现状,基于ZigBee通信协议的无线传感器网络技术构建了一种基于社区范围实时监护的远程医疗监护系统。该系统由上位PC机、ZigBee无线单片机套件、传感器节点、传感器模块组成,该系统将测量到的各种生理信号通过无线传感器网络传输到医疗监护中心,以做出诊断救治。