Author(s)

Chengxiang Wen, Dan Chen, Chun Wang, Yueshi Li

Corresponding Author

Chengxiang Wen

Abstract

As an important direction to promote the deep integration of industry and informatization, intelligent manufacturing has become the core driving force for the transformation and upgrading of the global manufacturing industry. It involves the digitalization, networking, and intellectualization of manufacturing processes, with the aim of improving production efficiency, reducing resource consumption, and enhancing product quality. The "14th Five-Year Plan for the Development of Intelligent Manufacturing" jointly issued by the Ministry of Industry and Information Technology and other eight departments has clarified the development goals and key tasks of intelligent manufacturing in the next five years. In the context of the transformation and upgrading of national intelligent manufacturing, the demand for industrial data talents is becoming more and more urgent, and the problems in the training of big data technology professionals in higher vocational colleges are facing problems. Based on the research on the demand for big data technology skills application talents in higher vocational colleges in the construction machinery industry, this paper clarifies the skills and quality requirements of the construction machinery industry for big data technology professional skills application talents in the context of intelligent manufacturing, and constructs the core curriculum system of big data technology according to the technology connection and docking course system. In addition, the construction of experimental training, the optimization of the training system, and the teaching evaluation methods were carried out in practical exploration.

Keywords

Construction machinery industry,talent cultivation,Optimization of the cultivation system,Curriculum system