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工业人工智能的现状与发展趋势
引用本文:唐露新,张儒锋,姜德志,林建文,周书兴.工业人工智能的现状与发展趋势[J].机床与液压,2022,50(10):174-181.
作者姓名:唐露新  张儒锋  姜德志  林建文  周书兴
作者单位:广州理工学院广东省工业机器人集成与应用工程技术研究中心;广州阿普顿自动化设备有限公司;广州园大智能设备有限公司
基金项目:广东省科技厅软科学研究领域重点项目(2109B101001017)
摘    要:人工智能技术在生活、网络、服务和金融等领域应用效果显著,而工业人工智能需要实时解决不同生产对象和场景的各种难点问题,还没有广泛深入应用。简述工业人工智能技术的含义、背景、要素和现状,分析其发展历程和典型应用,指出工业智能化在促进工业生产安全、降本、增效、提质等方面的系统框架和要点,探讨其中技术难点和应用所面临的问题,并预测工业人工智能技术的一些发展方向。

关 键 词:工业人工智能  发展历程  典型应用  发展方向

Current Situation and Trend of Industrial Artificial Intelligence
TANG Luxin,ZHANG Rufeng,JIANG Dezhi,LIN Jianwen,ZHOU Shuxing.Current Situation and Trend of Industrial Artificial Intelligence[J].Machine Tool & Hydraulics,2022,50(10):174-181.
Authors:TANG Luxin  ZHANG Rufeng  JIANG Dezhi  LIN Jianwen  ZHOU Shuxing
Abstract:The application effect of artificial intelligence technology in the fields of life,network,service and finance is remarkable,but industrial artificial intelligence needs to solve various difficult problems from different production objects and scenes in real time,which has not been widely and deeply applied.The meaning,background,elements and current situation of industrial artificial intelligence technology were briefly described,the development process and typical applications were analyzed.It was pointed out the system framework and key points of industrial intelligence in promoting industrial production safety,cost reduction,efficiency and quality improvement.The technical difficulties and problems faced by the application were probed,and some development directions of industrial artificial intelligence technology were predicted.
Keywords:Industrial artificial intelligence  Development process  Typical applications  Development directions
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