基于频率-强度曲线的地理环境物联网监测系统研究  

Geographic Environment IOT Monitoring System Based on Frequency-Intensity Curve

作　　者：郭向云[1] GUO Xiang-yun(Jincheng Institute of Technology,Jincheng Shanxi 048026,China)

机构地区：[1]晋城职业技术学院,山西晋城048026

出　　处：《河北北方学院学报（自然科学版）》2022年第7期19-24,共6页Journal of Hebei North University:Natural Science Edition

摘　　要：目的为实现地理环境异常情况监测,设计基于频率-强度曲线的地理环境物联网监测系统。方法将已采集的地理信息以不同形式数据存储在数据库中;经网络层将数据库中数据传输到服务层,构建空间位置的电磁频率-强度累积曲线,基于离散Fréchet距离的相似度量算法计算曲线相似度量值,并与阈值比较,检测物联网异常变化;通过应用层展现监测结果并提供交互界面。结果实验结果显示:高频电场强度变化在特定区间内的变化是持续性的,可成功接收495个数据包,收包率可达99%,系统功耗低,可一定程度上延长硬件使用寿命。结论采用该系统可以有效监测到地理环境物联网中存在异常电磁现象,具备网络传输性能强优势。Objective To realize the monitoring of geographical environment anomaly,the geographic environment IOT monitoring system based on frequency-intensity curve was designed.Methods The collected geographic information was stored in the database in different forms;the data in the database was transmitted to the service layer through the network layer,and the electromagnetic frequency-intensity cumulative curve of spatial location was constructed.The similarity measure algorithm based on discrete Fréchet distance was used to calculate the curve similarity measure value and it was compared with the threshold value to detect the abnormal changes in the internet of Things;The application layer displayed the monitoring results and provided an interactive interface.Results The experimental results showed that:the change of high-frequency electric field intensity in a specific range was continuous,495 packets were successfully received,the packet receiving rate reached 99%,the system power consumption was low,and the service life of hardware was extended to a certain extent.Conclusion The system can effectively monitor the abnormal electromagnetic phenomenon in the geographical environment of the Internet of Things,and it has the advantages of strong network transmission performance.

关 键 词：频率-强度曲线 地理环境 物联网 监测系统 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术]