Study on Internet of Things-driven Real-time Status Monitoring of Supply Chain Logistics

Abstract

Real-time status monitoring of supply chain logistics is the basis of intelligent supply chain implementation. Supply chain logistics is essentially a process of objects move in space over time. It could also be abstracted as a process of materials transferred through nodes. First, therefore, this paper establishes a element node model of supply chain logistics to analyze the information collection required by supply chain logistics. It then uses internet of things to study the method of environment configuration of supply chain logistics real-time status monitoring, and classify the information collection required in supply chain logistics into two categories. A data processing model of supply chain logistics status monitoring is also developed based on Auto-ID calculation, with regard to the second information cannot be obtained directly through the data collection. Finally, software platform is built to verify theories and methods drawn.