Article Details

Abstract

As the “blood vessel” of a smart factory, the logistics system is the core component that determines the “metabolism” efficiency of the factory, and has a direct impact on the production mode and efficiency of the factory. With the development of logistics equipment technologies, the application of logistics automation, intelligence, and black lighting technologies has become more and more significant in improving factory production efficiency. The paper describes an AGV logistics equipment based on laser SLAM navigation and the application architecture in the communication equipment manufacturing factory. Through this practice, the factory improves the production capacity, saves the manpower expenditure, reduces the energy consumption, improves the overall logistics automation level, and improves the enterprise efficiency.

Keywords

laser SLAM; AGV; logistics automation

References

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About the authors

Cai Dong (1983-), male, Han ethnicity, from Baoji, Shaanxi, is a baseband technology expert with a master's degree. His research interests include production testing system design, testing automation, and intelligent manufacturing; Li Chenyang (1982-), male, Han ethnicity, born in Taiyuan, Shanxi Province, is a technical chief engineer with a bachelor's degree. His research interests include production testing software solutions and development, digitalization, and intelligent manufacturing; Ling Li (1985-), female, Han ethnicity, from Loudi, Hunan, is a senior software development engineer with a master's degree. Her research interests include production testing software solutions and development, as well as intelligent manufacturing; Wang Ting (1984-), female, Han ethnicity, from Xi'an, Shaanxi, is a senior engineer with a master's degree. Her research interests include production testing software solutions and development, as well as intelligent manufacturing based on machine vision and flexible logistics; Zhang Jian (1979-), male, Manchu, from Fushun, Liaoning, is a minister with a master's degree. His research interests include production testing software solutions, intelligent manufacturing technology, and digital technology.