基于压缩感知的冷链环境监测系统设计  

Design of cold chain environment monitoring system based on compressed sensing

作　　者：高晋 乔记平 武媛 王志强 岳子琛 GAO Jin;QIAO Jiping;WU Yuan;WANG Zhiqiang;YUE Zichen(College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,China;College of Physics and Optoelectronics,Taiyuan University of Technology,Taiyuan 030024,China;Shanxi Coal Mining Machinery Manufacturing Co Ltd,Taiyuan 030006,China)

机构地区：[1]太原理工大学电气与动力工程学院,山西太原030024 [2]太原理工大学物理与光电工程学院,山西太原030024 [3]山西煤矿机械制造股份有限公司,山西太原030006

出　　处：《传感器与微系统》2023年第7期106-109,共4页Transducer and Microsystem Technologies

基　　金：山西省重点研发计划资助项目(201903D221041,201803D221028—4);山西省应用基础研究计划资助项目(201901D111101)。

摘　　要：传统的冷链环境监测系统需实时监测并将环境参数传输至监控中心的上位机。针对数据传输量较大、通信带宽和存储空间有限等问题,采用压缩感知(CS)技术设计了面向冷链物流环境的监测方法。设计了易于硬件实现且重构效果较好的、基于双极性Logistic混沌序列的托普利兹块状观测矩阵(Tp-BiLCM),并在上位机采用稀疏度自适应算法匹配追踪(SAMP)算法进行数据重构。仿真结果表明:重构后的数据与原始数据误差较小,可较好地恢复监测数据的原貌。Traditional cold chain environmental monitoring system needs to monitor in real-time and transmit the environmental parameters to upper computer of the monitoring center.Aiming at the problems such as large amount of data transmission,limited communication bandwidth and storage space,a monitoring method for cold chain logistics environment is designed using compressed sensing(CS)technology.This method is designed to be easy to implement in hardware and has better reconstruction effect on Toplitz block observation matrix based on bipolar Logistic chaotic sequence(Tp-BiLCM),and on host computer,the sparseness adaptive algorithm matching pursuit(SAMP)algorithm is used for data reconstruction.Simulation results show that the reconstructed data and the original data have small error,which can better restore the original appearance of the monitoring data.

关 键 词：压缩感知 无线传感器网络 冷链监测 STM32单片机 LABVIEW软件 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]