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作 者:秦立果[1,2] 黄小东 张辉[1,2] 汪利平[3] 董光能[1,2] QIN Li-guo;HUANG Xiao-dong;ZHANG Hui;WANG Li-ping;DONG Guang-neng(Institute of Design Technologies and Basic Components,Xi’an Jiaotong University,Xi'an,Shaanxi 710049,China;Key Laboratory of Education Ministry for Modern Design&Rotor-Bearing System,Xi’an Jiaotong University,Xi'an,Shaanxi 710049,China;PetroChina Lanzhou Lubricating Oil R&D Center,Lanzhou,Gansu 730060,China)
机构地区:[1]西安交通大学设计科学与基础部件研究所,陕西西安710049 [2]西安交通大学现代设计及转子轴承系统教育部重点实验室,陕西西安710049 [3]中国石油兰州润滑油研究开发中心,甘肃兰州730060
出 处:《润滑油》2022年第1期1-5,共5页Lubricating Oil
摘 要:随着计算机科学技术的高速发展,人工智能、大数据等新技术的产生和发展给传统工程机械行业带来了新的活力。润滑油作为工程机械全生命周期的必需品,其行业也将面临着信息化、网络化的机遇与挑战。将当前计算机分析技术与传统的润滑油产业相结合,发展可应用于润滑油的研发、生产、使用与维护过程的人工智能技术,这对开发和生产具有环保、节能、无污染和使用寿命长等特性的润滑油以及实现润滑油产业蓬勃发展起着至关重要的作用。With the rapid development of computer science and technology, the emergence and development of new technologies such as Artificial Intelligence(AI) and Big Data have brought new vitality to the traditional construction machinery industry. As lubricating oil is a necessity for the construction machinery in life cycle, the lubricating oil industry will also face opportunities and challenges of informatization and networking. The current computerized analysis technology can be considered to combine with the traditional lubricating oil industry to develop AI technologies that can be applied in the R&D, production, operation and maintenance of lubricating oils. This will play a vital role in the development and production of lubricating oils featured with environmental protection, energy saving, pollution free and long service life and in the flourishing of the lubricating oil industry.
分 类 号:TE626.3[石油与天然气工程—油气加工工程]
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