Main directions of implementing research results of artificial intelligence systems into domestic production

F. Sharipov, M. Dyakonova
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引用次数: 0

Abstract

Speaking about the need to create technological sovereignty in the sphere of the domestic economy production, we realize how multidimensional and costly in all types of resources is the activity that has critical time constraints. In addition to sovereignty as a concept in the broad sense, technological sovereignty is created to increase the efficiency of Russian economic activity. One of the directions of increasing the production activities efficiency is the so-called production digitalization. This notion is fundamentally different from the production processes automation of the 1970s and 1980s. With the advent of the Internet and space navigation capabilities of modern astronautics, the approach and level of tasks in organizing human life have completely changed. Wireless communication, the Internet of Things, unmanned vehicle including aircraft are the terms of the XXI century. The purpose of the study is to define the theoretical principles of digitalization in the manufacturing process for those who are interested in this issue. The authors also attempt to provide a summary of popular classifications of digital technologies by functionality and application sectors. Based on the theoretical principles of digitalization and the given classification, we identify the main directions of production digitalization.
将人工智能系统研究成果应用于国内生产的主要方向
谈及在国内经济生产领域建立技术主权的必要性,我们会意识到这项活动的多面性和各种资源的昂贵性,以及时间的紧迫性。除了广义上的主权概念,技术主权的建立也是为了提高俄罗斯经济活动的效率。提高生产活动效率的方向之一是所谓的生产数字化。这一概念与上世纪七八十年代的生产过程自动化有着本质区别。随着互联网和现代宇航技术的空间导航能力的出现,组织人类生活的方法和任务水平已经完全改变。无线通信、物联网、无人驾驶车辆(包括飞机)是二十一世纪的术语。本研究的目的是为对这一问题感兴趣的人定义制造过程数字化的理论原则。作者还试图按功能和应用领域对流行的数字化技术分类进行总结。根据数字化的理论原则和给出的分类,我们确定了生产数字化的主要方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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