A Self-Powered Sensor Network Data Acquisition, Modeling, and Analysis Method for Cold Chain Logistics Quality Perception

Abstract

It is of great practical significance to design a cold chain logistics temperature monitoring terminal with high performance, low power consumption, low cost, safety and reliability. Based on the theory of self-powered sensor network, this paper designs data acquisition, modeling and analysis methods for the actual needs of cold chain logistics transportation management and temperature monitoring problems, applying embedded technology, sensor technology, and wireless transmission technology to solve the problem of cold chain logistics. The logistics model is designed for cold chain logistics tracking, and D-Bus technology is introduced to solve the problem of communication between design data communication methods between different nodes, and filter redundant sensor data. During the simulation process, we first initialize the monitoring software, set the serial port parameter m_ctrlComm, then select the serial port through the m_choosecom serial port selection parameter and m_DataList serial port baud rate selection parameter, the experiment proves that the road matching can be well carried out, thus improving the accuracy and value of the trajectory. The experimental results show that about 15066 times of temperature data can be collected and transmitted, and the frequency of collecting and uploading temperature data reaches 900 seconds, which verifies the effectiveness of the cold chain logistics middleware and the practicability of the data error correction algorithm.