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基于物联网的大型地震区域监控系统设计
引用本文:邹霞玲,彭绍琴,皮依标.基于物联网的大型地震区域监控系统设计[J].西北地震学报,2018,40(5):1111-1117,1130.
作者姓名:邹霞玲  彭绍琴  皮依标
作者单位:江西农业工程职业学院, 江西 樟树 331200,南昌大学化学系, 江西 南昌 330031,江西农业工程职业学院, 江西 樟树 331200
基金项目:江西省自然科学基金资助项目(20171BAB206010)
摘    要:当前大型地震区域监控系统采用有线网络对人工指挥台进行数据传输,易导致灾害条件下受损无法及时有效地传通监控结果,存在地震实时监测信息准确性低、系统稳定性差的问题。因此设计基于物联网的大型地震区域监控系统。该设计系统进行数据采集交换的网络拓扑采用ZIGBEE实现通信。基于VS.NET基础设计系统架构,通过地震的现场指挥部建设支持可视化的调度指挥台,实现综合调度和集中指挥的目的。系统中智能地震救灾控制中心采用服务器进行数据存储和智能运算,实现对地震检测区的精准、高效检测和工作指导。通过数据采集交换与应急调度平台,监测地震实时监控与设备使用情况。采用地震救灾数据采集分析软件对物联网中地震区域监测数据进行全面、准确分析,系统采用多源信息融合技术实现地震救灾信息多视角的全面处理。实验结果说明,所设计系统测算结果实时性高、功耗低,具有较高的准确度和稳定性。

关 键 词:物联网  大型地震区域  监控系统  救灾控制中心  数据采集交换  应急调度
收稿时间:2017/8/20 0:00:00

Design of the Monitoring System for Large EarthquakeRegions Based on the Internet of Things
ZOU Xialing,PENG Shaoqin and PI Yibiao.Design of the Monitoring System for Large EarthquakeRegions Based on the Internet of Things[J].Northwestern Seismological Journal,2018,40(5):1111-1117,1130.
Authors:ZOU Xialing  PENG Shaoqin and PI Yibiao
Institution:Jiangxi Agricultural Engineering College, Zhangshu 331200, Jiangxi, China,Chemistry Department of Nanchang University, Nanchang 330031, Jiangxi, China and Jiangxi Agricultural Engineering College, Zhangshu 331200, Jiangxi, China
Abstract:The current large-scale monitoring systems of earthquake-prone regions use wired networks to transmit data to manual maneuvers, which leads to problems such as low accuracy of seismic real-time monitoring information and poor system stability. Therefore, we designed a large-scale seismic area monitoring system based on the "Internet of Things", which uses ZigBee technology to communicate. Based on Visual Basic.NET, we designed the system architecture to achieve integrated dispatching and centralized command. In the system, the intelligent earthquake disaster relief control center adopts the server to realize data storage and intelligent operation, so as to realize precise and efficient detection and work guidance in the seismic detection area. Through data acquisition and exchange and an emergency dispatching platform, the real-time monitoring of earthquakes and the use of equipment were monitored. The earthquake disaster data collection and analysis software was applied to conduct comprehensive and accurate analysis of seismic area monitoring data in the "Internet of Things". The system adopted multi-source information fusion technology to comprehensively process the earthquake relief information from multiple perspectives. The experimental results showed that the calculated results of the designed system have low power consumption and high accuracy and stability.
Keywords:Internet of things  large earthquake area  monitoring system  disaster relief control center  data acquisition and exchange  emergency dispatch
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