Research on the present situation and development direction of mechanical engineering intelligence
Abstract
In the era of Industry 4.0, the traditional mechanical engineering method has been unable to meet the modern manufacturing
industry’s demand for efficient, accurate and fast production. Through the introduction of intelligent technology to greatly improve the
degree of automation and production effi ciency of mechanical engineering, reduce production costs, improve product quality and accuracy,
and further meet the diversifi ed needs of the market, has become an important trend in the development of modern manufacturing industry.
Based on this, this paper fi rst analyzes the signifi cance and current situation of mechanical engineering intelligence, and then discusses
its development direction combined with relevant practical experience, in order to offer suggestions for the development of modern
manufacturing industry.
industry’s demand for efficient, accurate and fast production. Through the introduction of intelligent technology to greatly improve the
degree of automation and production effi ciency of mechanical engineering, reduce production costs, improve product quality and accuracy,
and further meet the diversifi ed needs of the market, has become an important trend in the development of modern manufacturing industry.
Based on this, this paper fi rst analyzes the signifi cance and current situation of mechanical engineering intelligence, and then discusses
its development direction combined with relevant practical experience, in order to offer suggestions for the development of modern
manufacturing industry.
Keywords
mechanical engineering; Intelligentization; Status quo; Development direction
Full Text:
PDFReferences
[1] Qing Hu. Discussion on the Status quo and Development Direction of Mechanical Engineering Intelligence [J]. Jiangxi Building Materials, 2021(2):0401-
0401.
[2] Xin Tian,Cuicui Wang,Qian Liu. The Status quo and Development Direction of Mechanical Engineering Intelligence [J]. Shandong Industrial Technology,
2018(4):1.
DOI: https://doi.org/10.18686/esta.v10i4.611
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