摘要
传统的物联网数据监测技术对数据分类不够准确,导致监测过程中出现异常数据不收敛和无穷计算的问题。在此基础上提出基于光纤复用技术的物联网数据监测研究。首先分析光纤空分复用技术原理,获得有效数据的排列曲线公式;其次构建物联网数据监测系统,确定调节时间、调节强度、系统电压以及系统规模,并提出数据信息采集参数的概念;最后利用排列曲线公式搜索物联网中的异常数据与节点数据,并通过光纤复用的特征模糊概率算法确定异常数据,完成数据监测。通过对比实验表明,方法提高了数据监测的有效性与准确性,适用于海量的物联网数据监测。
Traditional Internet of things data monitoring technology is not accurate in data classification,resulting in abnormal data convergence and infinite calculation problems in monitoring process.On this basis,the research on data monitoring of Internet of things based on fiber optic multiplexing technology is proposed.Firstly,the principle of optical fiber air division multiplexing technology is analyzed,and the arrangement curve formula of effective data is obtained.Secondly,the data monitoring system of the Internet of things is constructed to determine the adjustment time,adjustment intensity,system voltage and system scale,and the concept of data information acquisition parameters is proposed.Finally,the permutation curve formula is used to search the abnormal data and node data in the Internet of things,and the characteristic fuzzy probability algorithm of fiber multiplexing is used to determine the abnormal data and complete the data monitoring.Through comparative experiments,it is shown that the method proposed in this paper improves the effectiveness and accuracy of data monitoring and is applicable to the data monitoring of the Internet of things.
作者
王冠男
孙睿
WANG Guannan;SUN Rui(Dongchang College,Liaocheng University,Liaocheng Shandong 252000,China)
出处
《激光杂志》
北大核心
2020年第9期77-81,共5页
Laser Journal
基金
山东省高等学校科技计划项目(No.J16LJ52)。
关键词
光纤复用
物联网
数据监测
排列曲线
特征模糊概率
optical fiber multiplexing
Internet of things
data monitoring
permutation curve
feature fuzzy probability
