Cold chain logistics tracking and tracing system based on genetic algorithm under SSH framework

Abstract

The traditional tracking and traceability system based on ARM9 and ZigBee and the tracking and traceability system based on STM32 have poor anti-interference ability, which leads to the low consistency between the cold chain food information transmitted and the actual information, resulting in poor tracking and traceability effect. In order to solve this problem, on the basis of designing SSH framework to process logistics information, genetic algorithm was combined to extract tracking and traceability features, and the cold chain logistics tracking scheme was designed. The experimental results show that in recognition experiments of 90 times, the effective recognition times of the system are available, the minimum effective times can reach 83 times, and the average success rate of traceability can reach 94.55%. The results show that the system can effectively track and trace the cold chain logistics information.

Keywords

• ssh framework
• cold chain logistics
• information tracking
• information traceability
• genetic algorithm