基于5G无线通信技术的无人值守粮仓多点温度远程监测  

Multi point temperature remote monitoring of unmanned grain warehouses based on 5 G wireless communication technology

作　　者：丁华峰 商俊燕 DING Hua-feng;SHANG Jun-yan(School of Intelligent Control,Changzhou Vocational Institute of Industry Technology,Changzhou 213164,China)

机构地区：[1]常州工业职业技术学院智能控制学院,江苏常州213164

出　　处：《粮食与饲料工业》2025年第1期46-51,共6页Cereal & Feed Industry

基　　金：江苏省自然科学基金:“仿长竹蛏掘穴特性的深海养殖网箱锚泊定位机制研究”(编号:BK20220241);江苏省产学研合作项目:“新能源锂电池箱安全防控系统的研发”(编号:BY20230863)。

摘　　要：无人值守粮仓面积较大,在温度远程监测的过程中会受到环境噪声和监测范围的影响,降低了数据质量,并增加了多点数据传输的延时,影响温度远程监测的效果。提出基于5G无线通信技术的无人值守粮仓多点温度远程监测方法。构建包括感知层、网络层、平台层和应用层在内的无人值守粮仓多点温度远程监测的多传感物联网远程监测架构;利用5G无线通信技术回传监测数据,通过5G网络切片实现数据延时补偿;采用变分模态分解(VMD)技术有效去除数据中的噪声干扰;引入5G通信技术构建监测温度数据阈值告警模型,及时响应异常数据,实现无人值守粮仓多点温度远程监测。实验结果表明:该方法能够准确监测到无人值守粮仓内不同谷物种类的各关键位置温度变化,去噪后抓举曲线形态更为平滑且稳定,在大规模数据传输环境下,其节点分配平均指数依然能够稳定在0.9左右,监测效果较好。The unmanned grain warehouse has a large area and is affected by environmental noise and monitoring range during remote temperature monitoring,which reduces data quality and increases the delay of multipoint data transmission,affecting the effectiveness of remote temperature monitoring.This paper proposed a remote monitoring method for multi-point temperature in unmanned grain warehouses based on 5G wireless communication technology.A multi-sensor IoT monitoring architecture,including sensing,network,platform,and application layers,was constructed.5G wireless communication technology was used to transmit monitoring data,with network slicing employed to compensate for delays.Variational mode decomposition(VMD)technology was utilized to effectively eliminate noise interference in the data.Additionally,a threshold alarm model based on 5G communication technology for monitoring temperature data was developed to respond promptly to abnormal data,enabling remote monitoring of multi-point temperature in unmanned grain warehouse.Experimental results demonstrated that the proposed method accurately monitors temperature variations at critical locations for different grain types within unmanned grain warehouses.After denoising,the data curve became smoother and more stable.Under large-scale data transmission conditions,the average node allocation index can still remain stable at approximately 0.9,indicating excellent monitoring performance.

关 键 词：5G无线通信技术 无人值守 温度传感器 VMD方法 粮仓多点温度 远程监测 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] S379[自动化与计算机技术—控制科学与工程]