摘要
随着科技的发展,人工智能技术已经深入各个领域,智慧物流作为物流行业的一种新型模式,正面临着技术升级的挑战。人工智能技术的应用,如数据分析、自动化、物联网、机器学习和深度学习等,为智慧物流的发展提供了新的机遇。文章探讨了人工智能技术在智慧物流中的应用,包括数据分析、自动化调度、物联网和传感技术,以及机器学习和深度学习,分析了这些技术在智慧物流应用中面临的挑战,并提出了相应的优化建议,以推动智慧物流的发展。
With the development of science and technology,artif icial intelligence technology has penetrated into various f ields.As a new model of logistics industry,intelligent logistics is facing the challenge of technological upgrading.The applications of artificial intelligence technologies,such as data analysis,automation,Internet of Things,machine learning and deep learning,provide new opportunities for the development of smart logistics.This study explores the applications of AI technologies in smart logistics,including data analytics,automated scheduling,IOT and sensing technologies,as well as machine learning and deep learning.The study also analyzes the challenges faced by these technologies in the applications of smart logistics and puts forward corresponding optimization recommendations to promote the development of smart logistics.
作者
高俊
GAO Jun(Wuhan University of Science and Technology,Wuhan 430081,China)
出处
《物流科技》
2024年第16期73-75,79,共4页
Logistics Sci-Tech
关键词
人工智能技术
智慧物流
运输调度
仓储管理
artificial intelligence technology
intelligent logistics
transportation scheduling
warehouse management
