인공지능 기반 콜드체인 제품 환경 분석 및 예측

Abstract

With the 4th industrial revolution, the ‘Logistics 4.0’ is gaining attention, which is based on the core technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data and so on. As global logistics develops gradually in a competitive environment, enhancing the competitiveness of the logistics system has become essential. In the case of Korea, the existing distribution centers are limited to storage-oriented warehouse functions, it is necessary to switch to a smart logistics management system that incorporates Information and Communications Technologies (ICT). This paper proposes an AI-based method with a framework to analyze data of cold-chain products environment to extract and utilize meaningful information for facilitating smart logistics centers. By using data on cold-chain products environment, the AI-based model helps finding suitable logistics strategies while keeping product quality. In specific, outside temperatures and humidity of the delivery vehicle have been used to predict the condition or temperature of inside the delivery vehicle as well as to draw the strategy of managing logistics condition. This study is expected to contribute to accelerating the implementation of smart logistics centers and enabling innovation in the smart logistics industry by creating new values in cold-chain products and logistics environment.