Empirical Research on Intelligent Upgrade Technology for Small and Medium-sized Logistics Enterprises

Abstract

The project uses key technologies such as PLC controller, inverter and sensor technology, integrated mechanical transmission, and motor drive to upgrade the equipment of a small enterprise, thereby realizing the intelligent automation of logistics sorting operations in the enterprise. The project research used interview method, observation method, and empirical analysis method. The research team went to the company’s site to investigate and study. After careful observation, it found that the company’s sorting system had problems. The misjudgement of the information of the sorting operator is the key reason for the picking error. Pushing the goods by manpower is the reason for the inefficiency. The project combines the principles of the related control system to redesign the operation of the original sorting operator. The intelligent control system and automatic code scanning system are connected to the relevant equipment of the operation line. The project realizes the connection between the intelligent control system and the automatic code scanning system on the existing transmission equipment. The combination of related technical function modules used in the project improves the maintainability of the equipment, which is a major improvement for enterprises to improve production efficiency and achieve capacity upgrades. Production innovation.