Visualization of real-time displacement time history superimposed with dynamic experiments using wireless smart sensors and augmented reality

Wireless smart sensors(WSS)process field data and inform inspectors about the infrastructure health and safety.In bridge engineering,inspectors need reliable data about changes in displacements under loads to make correct decisions about repairs and replacements.Access to displacement information in the field and in real-time remains a challenge as inspectors do not see the data in real time.Displacement data from WSS in the field undergoes additional processing and is seen at a different location.If inspectors were able to see structural displacements in real-time at the locations of interest,they could conduct additional observations,creating a new,information-based,decision-making reality in the field.This paper develops a new,human-centered interface that provides inspectors with real-time access to actionable structural data during inspection and monitoring enhanced by augmented reality(AR).It summarizes and evaluates the development and validation of the new human-infrastructure interface in laboratory experiments.The experiments demonstrate that the interface that processes all calculations in the AR device accurately estimates dynamic displacements in comparison with the laser.Using this new AR interface tool,inspectors can observe and compare displacement data,share it across space and time,visualize displacements in time history,and understand structural deflection more accurately through a displacement time history visualization.

TelG Mote: A Green Wireless Sensor Node Platform for Smart Home and Ambient Assisted Living

The wireless sensor network （WSN） consists of sensor nodes that interact with each other to collectively monitor environmental or physical conditions at different locations for the intended users. One of its potential deployments is in the form of smart home and ambient assisted living （SHAAL）to measure patients or elderly physiological signals, control home appliances, and monitor home. This paper focuses on the development of a wireless sensor node platform for SHAAL application over WSN which complies with the IEEE 802.15.4 standard and operates in 2.4 GHz ISM （industrial, scientific, and medical） band. The initial stage of SHAAL application development is the design of the wireless sensor node named TelG mote. The main features of TelG mote contributing to the green communications include low power consumption, wearable, flexible, user-friendly, and small sizes. It is then embedded with a self-built operating system named WiseOS to support customized operation. The node can achieve a packet reception rate （PRR） above 80% for a distance of up to 8 m. The designed TelG mote is also comparable with the existing wireless sensor nodes available in the market.

Design of Real-time Electricity Prices and Wireless Communication Smart Meter

Under the background of smart grid’s real-time electricity prices theory, a real-time electricity prices and wireless communication smart meter was designed. The metering chip collects power consumption information. The real-time clock chip records current time. The communication between smart meter and system master station is achieved by the wireless communication module. The “freescale” micro controller unit displays power consumption information on screen. And the meter feedbacks the power consumption information to the system master station with time-scale and real-time electricity prices. It results that the information exchange between users and suppers can be realized by the smart meter. It fully reflects the demanding for communication of smart grid.

Wireless Body Area Networks for Pervasive Healthcare and Smart Environments

Wireless body area networks （WBANs） use RF communication for interconnection of tiny sensor nodes located in, on, or in close prox- imity to the human body. A WBAN enables physiological signals, physical activity, and body position to be continuously monitored.

Wireless HART无线系统工程设计探讨

有线HART仪表是目前应用最普遍的仪表,总数已达到3 000万台以上,由HART通信基金会提出的IEC 62591标准是工业过程测量和控制领域的首个无线国际标准。介绍了采用该标准的Wireless HART技术的系统构成,探讨了Wireless HART系统工程设计的应用场合、设计要点、安装要点和图纸设计。

SmartCore智能家居新功能及EMC重复性测试

该文介绍了Smart Core智能家居系统的新功能和实施应用,分析了该类智能化和无线宽带数据传输的控制特点和连接的电气产品类型,在电磁兼容检测中必须符合的国际标准,对EMI辐射项目进行重复性测试,用综合权衡指标方法分析了结果的可靠性。

古尔班通古特沙漠天然气井口WirelessHART智能无线仪表应用

克拉美丽气田位于古尔班通古特沙漠,是新疆油田公司发现的首个千亿方储量规模的火山岩气田。本项目根据气井生产能力,选取8口气井作为改造对象,使用先进的WirelessHART智能无线技术,采集井口的工艺参数,并通过无线电通讯的方式,将井口监控数据传送至位于集气站的上位控制系统中。实现了对井口的远程监测,降低了人工巡检的劳动强度,提高了井口生产的可靠性,从而实现气田的整体数字化。

Zigbee-based new approach to smart home

Smart home is a promising solution to improving the quality of people＇s life. Much work has been done in the field, but most of these solutions are just based on home gateway, leaving much to be improved. One of its defects is the relatively high energy consuming and its radiation, and the other is that it is not available to the old home appliances which fail to access the internet. Full use of the low energy consuming characteristic of the Zigbee wireless sensor network, a completely new smart home solution is put forward in this paper. Without need of a home gateway and any modification for the currently used family appliances, the method uses the Zigbee coordinator as the central controller and the controllers of appliances as the end devices of Zigbee. It can realize a comfortable and smart home. Experiments show that the scheme proposed is feasible and it will be no doubt to be able to improve the quality of people＇s daily life.

A Smart Home System Design Based on GSM

This paper introduces a mobile phone short message control method in smart home based on GSM (Global System for Mobile communications). AT commands and the system structure is illustrated in detail. The hardware system including STC89C51 and TC35i is presented. The software framework is also analyzed clearly in this paper. In addition, some other potential application areas and its direction of development in future are given at last.

An Energy-Efficient Query Based on Variable Region for Large-Scale Smart Grid

The state-of-the-art query techniques in power grid monitoring systems focus on querying history data, which typically introduces an unwanted lag when the systems try to discover emergency situations. The monitoring data of large-scale smart grids are massive, dynamic and highly dimensional, so global query, the method widely adopted in continuous queries in Wireless Sensor Networks(WSN), is rendered not suitable for its high energy consumption. The situation is even worse with increasing application complexity. We propose an energy-efficient query technique for large-scale smart grids based on variable regions. This method can query an arbitrary region based on variable physical windows, and optimizes data retrieve paths by a key nodes selection strategy. According to the characteristics of sensing data, we introduce an efficient filter into the each query subtree to keep non-skyline data from being retrieved. Experimental results show that our method can efficiently return the overview situation of any query region. Compared to TAG and ESA, the average query efficiency of our approach is improved by 79% and 46%, respectively; the total energy consumption of regional query is decreased by 82% and 50%, respectively.

A Smart Home Energy Monitoring System Based on Internet of Things and Inter Planetary File System for Secure Data Sharing

Energy demand will continue to rise as a result of predicted population growth. In this work, a user-friendly home energy monitoring system based on IoT is described, which is capable of collecting, analyzing, and displaying data. Users register their sensors and devices on the monitoring platform. PostgreSQL and Elasticsearch databases are used to store the resulting measurements. In a smart home, the wireless sensor ACS712 was used to monitor the flow of electricity (current and voltage) for a household device. The user can share data about electricity consumption and costs with a third party via the private IPFS (InterPlanetary File System) network. A third party can download all the energy consumption data for a device or many devices from the platform for 1 day, 3 months, 6 months, and 1 year. The studies on the development of energy-efficient technology for home devices benefit greatly from the gathered data. For security in the system, it is preferred to run Keyrock Idm, Wilma Pep Proxy, and Orion Context Broker in HTTPS mode, and MQTTS is used to retrieve sensor data. The experimental results showed that the energy monitoring system accurately records voltage, current, active power, and the total amount of power used and offers low-cost solutions to the users using household devices in a day.

Study of Smart Grid Communication Network Architectures and Technologies

Smart Grid (SG) is an emerging paradigm of the modern world to upgrade and enhance the existing conventional electrical power infrastructure from generation to distribution to the consumers in a two-way communication fashion to automate the electrical power demand and supply and make this a cyber-physical system. SG infrastructure key elements, such as smart meters, circuit breakers, transformers, feeders, substations, control centers, grid stations, are required well-formed communication network architectures. SG infrastructure is divided into three main communication networks architectures, such as HAH, NAN, and WAN. Each of these communication network architectures requires reliable, stable, secure, high data rate at real-time with the help of different wireline and wireless communication technologies from HAN to WAN networks. To understand the complete concepts about SG, a concise review is presented and it will help the readers to get foundations of communication network architectures and technologies of SG.

An Appraisal of Wireless Sensor Networks: Profiles and Characters

This paper presents an in-depth evaluation of Wireless Sensor Networks. Wireless Sensor Networks have been highlighted as the major component that enables the development of modern infrastructures, such as the Smart Grid. As part of an on-going edification process on the subject matter, this paper brings to fore the many important functions and components of Wireless Sensor Networks, including application areas, functional architectures, physical topological design, communication protocols, routing schemes and Wireless Sensor Network hardware capabilities.

面向智能电网广域通信的可靠路由算法研究

无线传感器网络是智能电网广域通信中的基础组成单元,传统的无线传感器网络分簇路由协议虽能在一定程度上简化网络拓扑,但仍存在簇首选择不合理且系统能耗较高的问题。针对此,文中基于粒子群优化算法提出了一种改进的分簇路由协议。该协议利用粒子群算法的参数寻优特性对簇首搜寻方案加以改进,使得新方案考虑了距离、剩余能量、数据传输精度等多种因素。同时还使用粒子群自适应函数对该方案进行优化,从而提高了原算法的可靠性。在能耗实验测试中,所提算法迭代1 300次后的剩余能耗为31.2 J,在对比算法中为最优。而对路由路径的测试中,改进算法的平均运行时延为1.79 ms,平均误码率为0.212 5,在所有算法中均为最低,证明了该算法具有良好的实时性和可靠性。

Enhancing Smart Grid with Session-Oriented Communication System to Truly Support Reliability and Robustness

Environmental sustainability issues and the costs of new power generation and transmission have increased the interest in evolving current power grid to new technologies. The Smart Grid is a promising technology, since it allows a distributed computing approach with potentials for self-diagnosing/-healing, reliable multi-user communication and fast hard real-time control. However, the missing standardization associated with heterogeneity of legacy systems and wide-area service demands, makes very challenging to adopt Smart Grid in a cost-effective way. By considering this, we propose the Session-Oriented Communication System (SOCSys) to overcome the above issues by enhancing Smart Grid with truly reliable and robust capabilities over heterogeneous environments. SOCSys achieves this goal by orchestrating session-control with innovative network-centric facilities operating over a wireless mesh Information Network compliant with IEEE 802.11e/s standard. The simulation results show that SOCSys improved network performance in terms of bandwidth utilization and minimization of delay, while consuming low network resources. Graphical analyses showed that SOCSys supported multimedia sessions with excellent quality, where it outperforms the experiments with regular settings.

基于无线传感器网络节点的老人智慧鞋履设计

当前老人智慧鞋履的提醒程序多设定为单次结构,整体的提醒效率较低,为此提出基于无线传感器网络节点的老人智慧鞋履的设计与实践应用。根据当前测定,先进行传感器及无线传感网络节点接入多目标健康提醒程序的设计,进行实时数据采集与定点传输,设计多目标健康提醒程序,构建无线传感器网络节点老人鞋履总控系统,最终采用智能报警的方式完成智慧鞋履的设计。测试结果表明:针对选定的6名测试人员,结合制定的3个测试指令组,最终得出的智慧鞋履的响应时延均被较好地控制在0.3 s以下,说明此次在无线传感器网络节点原理的辅助下,所设计的老人智慧鞋履更加灵活、高效,应用效果更佳。

基于无线传感网络的智慧农业监测系统设计

在信息化、智能化的时代背景下,智慧农业已成为推动农业现代化的重要手段。在这种情况下,基于无线传感网络的智慧农业监测系统应运而生,它融合了物联网、云计算、大数据等多项先进技术,为农业生产提供了全新的解决方案。文中介绍了智慧农业监测系统的研究背景,详细阐述了系统的总体设计、硬软件设计及数据分析方法,设计了一种基于无线传感网络的智慧农业监测系统,为农业生产提供了支持。

基于智能鞋垫的足部数据可视化系统设计

为了采集人体足部的状态数据并实现数据的实时可视化,本文设计了采集足底压力和足部姿态的下位机,并且在手机终端设计并部署了实时显示下位机采集数据的移动端应用软件。下位机通过8点位薄膜压力传感器获得足底特征点的压力,通过惯性测量单元(IMU)获得足部姿态角,最终将数据打包并通过蓝牙发送给手机;上位机接收并处理数据,最终通过本文研发的3D视图和曲线视图将数据进行可视化。通过佩戴设备进行静态和动态测量实验,通过分析测量数据得出静态测量角度误差为0.08°~0.13°,压力误差为0.2~0.7 kgf,视频帧与3D模型角度偏差低于0.19°。实验结果表明:本文构建的采集和可视化系统具有较高的准确度、实时性以及稳定性,可用于足部状态数据集创建和远程诊断等相关研究。

Wireless Device Connection Problems and Design Solutions

Users, especially the non-expert users, commonly experience problems when connecting multiple devices with interoperability. While studies on multiple device connections are mostly concentrated on spontaneous device association techniques with a focus on security aspects, the research on user interaction for device connection is still limited. More research into understanding people is needed for designers to devise usable techniques. This research applies the Research-through-Design method and studies the non-expert users＇ interactions in establishing wireless connections between devices. The ＂Learning from Examples＂ concept is adopted to develop a study focus line by learning from the expert users＇ interaction with devices. This focus line is then used for guiding researchers to explore the non-expert users＇ difficulties at each stage of the focus line. Finally, the Research-through-Design approach is used to understand the users＇ difficulties, gain insights to design problems and suggest usable solutions. When connecting a device, the user is required to manage not only the device＇s functionality but also the interaction between devices. Based on learning from failures, an important insight is found that the existing design approach to improve single-device interaction issues, such as improvements to graphical user interfaces or computer guidance, cannot help users to handle problems between multiple devices. This study finally proposes a desirable user-device interaction in which images of two devices function together with a system image to provide the user with feedback on the status of the connection, which allows them to infer any required actions.

GIS缺陷检测用低功耗智能无线振动加速度-声发射融合传感器

针对气体绝缘组合电器(GIS)机械和绝缘缺陷的同时同地感知,本文提出一种低功耗智能无线振动加速度-声发射融合传感器。进行了传感器融合结构设计和仿真验证,使用蓝牙低功耗(BLE)实现传感器与客户端通信。首次将伪随机M序列应用于压电传感器的阻抗响应自校准,单次校准仅需数毫秒和数毫瓦。测试结果表明,传感器100 Hz~2 kHz内平均振动灵敏度为511 mV/g, 20~100 kHz内超声灵敏度稳定在70~90 dB之间,相对不确定度小于2%;工作距离小于8 m时,数据传输速率在1 Mbps以上。在设置金属颗粒缺陷的实际GIS设备上开展机械振动-局部放电联合试验,结果表明传感器可实现设备机械振动和超声波信号的同时同地测量,为电力设备运行状态的分布式检测提供了新型有效的方法和手段。