Research on the comprehensive dynamic evaluation of the development level of industrial robots in the context of artificial intelligence - Taking the manufacturing as an example

被引：0
|
作者：
Li S. [1 ]
Wang H. [2 ]
Wang S. [3 ]
机构：
[1] National Communication Center For Science and Technology, CAST, Beijing
[2] Department of Economic Forecasting, State Information Center, Beijing
[3] Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2020年 / 40卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence; Comprehensive dynamic evaluation; Industrial robots; Manufacturing;
D O I：
10.12011/1000-6788-2020-0842-10
中图分类号：
学科分类号：
摘要：
The industrial robot is a machine that can be controlled automatically and programmed. It is also an important basis for the intelligent transformation of manufacturing industry. To some extent, the development level of industrial robots can be used as a key factor to measure the level of industrial automation in a country. 15 countries with manufacturing, purchasing and using industry robots are taken as research samples. Using the time-series global principal component analysis method, the data of industrial robots, manufacturing and economy of each country from 2010 to 2017 are analyzed. Three components of the industrial robot development intensity, the industrial robot industry needs and the industrial robot economic scale are extracted from 11 indexes. By using these components to construct a three-dimensional comprehensive dynamic evaluation index system, the dynamic change of industrial robots in China can be evaluated. © 2020, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
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页码：2958 / 2967
页数：9
相关论文
共 31 条
  • [1] Finlayson M A, Richards W, Winston P H., Computational models of narrative: Review of a workshop, AI Magazine, 31, 2, pp. 97-100, (2010)
  • [2] Zhou J., Intelligent manufacturing-Main direction of "Made in China 2025, China Mechanical Engineering, 26, 17, pp. 2273-2284, (2015)
  • [3] Li G, Liao J H, Xiang Y N., Direction and route of China's industrial upgrading, China Industrial Economics, 10, pp. 16-26, (2011)
  • [4] Yao X F, Zhang J M, Lin Y Z., The basic theory and technical framework for wisdom manufacturing systems, Systems Engineering-Theory & Practice, 36, 10, pp. 2699-2711, (2016)
  • [5] Atkinson R D., Which nations really lead in industrial robot adoption?, Information Technology & Innovation Foundation, (2018)
  • [6] Yu Y F., The development path of international industrial robot industry and its enlightenment to China, Practice in Foreign Economic Relations and Trade, 6, pp. 25-28, (2016)
  • [7] Luo M Z, Fang J, Zhao J H., The development and the application of the industrial robot technology, Machine Building & Automation, 44, 1, pp. 1-4, (2015)
  • [8] Kong D, Zhou Y, Liu Y, Et al., Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country, Technological Forecasting and Social Change, 119, pp. 80-97, (2017)
  • [9] Cheng H, Chen W J, Li T., Robots in China: Status, future and impact-Empirical evidence from the China employer-employee survey (CEES), Journal of Macro-Quality Research, 6, 3, pp. 1-21, (2018)
  • [10] Ma L., Whether will there be a scale replacement of robot to labor in China? Study based on the experience of Japan and South Korea, World Economy Studies, 10, pp. 71-79, (2015)
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