Real-time monitoring system for containers in highway freight based on cloud computing and compressed sensing

Abstract

With the rapid development of world economic integration, the importance of container in modern logistics system is becoming more and more prominent. However, the status of products in containers is opaque in highway freight. So this paper designs a real-time monitoring system for status of products in logistical containers based on cloud computing and compressed sensing. This monitoring system consists of the perception layer, the network layer, the cloud service layer and the application layer. In this system, temperature, humidity, vibration intensity, ethylene concentration and oxygen concentration of the container which are measured in perception layer are transmitted to the sink node. Compressed Sensing (CS) is designed in the sink node in order to compress the acceleration data, since the amount of the data is too large. These measurements of the acceleration data together with other sensor data are sent to cloud service layer through the network layer. The cloud servers integrate, store the data, and decide the current logistical environment whether meet the transportation requirement of products. The application layer fetches the data from network layer, displays them by graphics and tables, and alerts the drivers if necessary.