[1]王琨.基于射频和NB-IoT的危房监测系统设计[J].福建工程学院学报,2021,19(03):247-254.[doi:10.3969/j.issn.1672-4348.2021.03.008]
　WANG Kun.Design of intelligent dangerous building monitoring system based on radio frequency and NB-IoT[J].Journal of FuJian University of Technology,2021,19(03):247-254.[doi:10.3969/j.issn.1672-4348.2021.03.008]
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基于射频和NB-IoT的危房监测系统设计()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第19卷
期数:
2021年03期
页码:
247-254
栏目:
出版日期:
2021-06-25

文章信息/Info

Title:
Design of intelligent dangerous building monitoring system based on radio frequency and NB-IoT
作者:
王琨
福州职业技术学院
Author(s):
WANG Kun
Department of Information Technology Engineering, Fuzhou Polytechnic
关键词:
危房监测; 无线传感网; 倾角标定; 路由优化
Keywords:
dangerous building detection;  wireless sensor network;  inclination calibration;  routing optimization
分类号:
TP99；TP393.2
DOI:
10.3969/j.issn.1672-4348.2021.03.008
文献标志码:
A
摘要:
为解决危旧房屋状态的实时监测预警问题，设计了基于无线传感网的危房监测系统。利用加速度传感器实时采集房屋状态信息，改进传感器标定算法，采用温度分段式六位置标定法提高精度。数据传输采用射频通信和NB-IoT网络，根据实际房屋结构设计低功耗的路由算法，保证数据可靠传输。最终实现了高精度低功耗的远程监控方案，使决策者通过手机就能实时掌握房屋状态，提高房屋倾角监测精度，误差低于0.1°。
Abstract:
In order to solve the problem of real-time monitoring and forecasting of dangerous old buildings, a dangerous building monitoring system based on wireless sensor network was designed. Acceleration sensors were used to monitor the house conditions in real time. The sensor calibration algorithm was improved, and the temperature segmented six-position calibration method was used to improve the accuracy. Radio frequency communication and NB-IoT (narrow band internet of things) were adopted for data transmission. According to the actual housing structure, a low-power routing algorithm was designed to ensure reliable data transmission. Finally, a high-precision and low-power remote monitoring scheme was realized, which enabled the decision-maker to grasp the real-time state of the house through the mobile phone. System test results demonstrated that the monitoring accuracy of house inclination angle was improved, and the error was less than 0.1°.
更新日期/Last Update: 2021-06-25