人工智能赋能汽车制造业探析  

Exploration of Artificial Intelligence Empowering the Automotive Manufacturing Industry

作　　者：王宏宽 陈少伟 崔伟 陆宏杰 蔡燕君 WANG Hongkuan;CHEN Shaowei;CUI Wei;LU Hongjie;CAI Yanjun(China Academy of Electrical Sciences Co.,Ltd.,Guangzhou 510300,China)

机构地区：[1]中国电器科学研究院股份有限公司,广东广州510300

出　　处：《自动化与信息工程》2024年第5期10-13,共4页Automation & Information Engineering

摘　　要：目前,汽车制造产线基本实现了自动化,产线中的工业机器人等设备按照预设程序进行自动化作业。针对汽车制造产线的产品需求或车间环境变化时,工业机器人等设备的预设程序需要重新设计,导致产线灵活性不足、应变能力差等问题,探析基于人工智能技术驱动的汽车制造产线自主感知、学习、规划和决策的发展方向,旨在提高产线面对新产品、新工艺、新设备的适应能力,增强产线设备面对多变环境中突发事件的应对能力。Currently,automobile manufacturing production lines have basically achieved automation,and industrial robots and other equipment in the production line perform automated operations according to preset programs.In response to the product demand or workshop environment changes in the automotive manufacturing production line,the preset programs of industrial robots and other equipment need to be redesigned,and the flexibility and adaptability are poor.This article explores the development direction of autonomous perception,learning,planning,and decision-making in the automotive manufacturing production line driven by artificial intelligence technology,aiming to improve the adaptability of the production line to new products,processes,and equipment,and enhance the ability of the production line equipment to respond to emergencies in changing environments.

关 键 词：汽车制造业 人工智能 交互协同 事件推演 自主决策 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]