Cloud Architecture For IOT Based Bridge Monitoring Applications

Visvesh Naraharisetty, Venkat Surendar Talari, Sairam Neridu, Prafulla Kalapatapu, Venkata Dilip Kumar Pasupuleti
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引用次数: 4

Abstract

Structural Health Monitoring (SHM) is becoming an important research topic to improve human safety and to reduce maintenance costs. However, most of the existing SHM systems face challenges performing at real-time due to environmental effects and different operational hazards. Therefore, the Internet of Things (IoT) can be used, which would provide flexibility to monitor structures (building, bridge) from anywhere. AWS is a cloud computing platform used to connect IoT devices and store or analyze their data. In this paper an architecture is described to enable monitoring applications on a cloud computing platform AWS. However, IoT is the network of physical object devices, vehicles, buildings and other items embedded with electronics, sensors, and network connectivity-that enables objects to collect and exchange data. IoT allows objects to be sensed and controlled remotely across existing network infrastructure. Sensors (accelerometers) use Xbee protocol to send data to nodes (raspberry pi), then to the cloud using messaging protocols. The objective of the work demonstrates the architecture to carry out data collection, analysis, visualization of sensor data using AWS services that results in development of live monitoring standalone web interface.
基于物联网的桥梁监控应用的云架构
结构健康监测(SHM)已成为提高人身安全和降低维修成本的重要研究课题。然而,由于环境影响和不同的操作危害,大多数现有的SHM系统都面临着实时执行的挑战。因此,可以使用物联网(IoT),这将提供从任何地方监控结构(建筑物,桥梁)的灵活性。AWS是一个云计算平台,用于连接物联网设备并存储或分析其数据。本文描述了一种能够在云计算平台AWS上监控应用程序的体系结构。然而,物联网是由嵌入电子设备、传感器和网络连接的物理对象设备、车辆、建筑物和其他物品组成的网络,使物体能够收集和交换数据。物联网允许通过现有的网络基础设施远程感知和控制对象。传感器(加速度计)使用Xbee协议将数据发送到节点(树莓派),然后使用消息传递协议发送到云。该工作的目标是演示使用AWS服务进行数据收集、分析和传感器数据可视化的架构,从而开发实时监控独立web界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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