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作 者:侯旭晖[1] HOU Xuhui(Xianyang Vocational Technical College,Xianyang Shaanxi 712000,China)
出 处:《自动化与仪器仪表》2020年第11期103-106,共4页Automation & Instrumentation
基 金:咸阳职业技术学院2019年度教学改革研究项目:智慧物流背景下《仓储管理实务》课程建设研究与实践(No.2019JYA02)。
摘 要:针对传统传感器节点稳定性差,数据采集精度低下,导致监测结果存在偏差的问题,提出基于PTN网络的冷藏仓库环境多参数远程监测研究。结合冷藏仓库需求的特殊性,利用PTN网络采集环境数据、选择合适的网络拓扑结构,建立新的传输路径、搭建远程监测结构等步骤进行实验。设计仿真实验,验证其监测效果,分析比较实验组与对照组之间差异。实验结果表明,本文方法的稳定性更高,监测结果数值误差在±0.05,其监测精度远高于传统结果,更适用于冷藏仓库环境多参数远程监测。In view of the poor stability of traditional sensor nodes and the low accuracy of data acquisition,which leads to the deviation of monitoring results,the research of multi parameter remote monitoring of refrigerated warehouse environment is put forward based on PTNnetwork.Combined with the particularity of cold storage requirements,PTNnetwork is used to collect environmental data,the appropriate network topology is selected,a new transmission path is established,and a remote monitoring structure and other steps is built for experiments.Designing simulation experiment to verify the monitoring effect,the difference between the experimental group and the control group is analyzed and compared.The experimental results show that the proposed method is more stable,the monitoring results have a numerical error of±0.05,and its monitoring accuracy is far higher than the traditional results,and it is more suitable for the remote monitoring of multi parameters in the refrigerated warehouse environment.
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
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