December 23, 2024

The discussion of smart manufacturing standards is crucial

Not long ago, Director of the Industry 2 Department of Standardization Management Committee Dai Hong pointed out that in the 15th "Industrial Automation and Standardization" - 2016 Symposium on Common Technologies and Products for Intelligent Manufacturing, he pointed out that in the face of a new round of scientific and technological revolution in the world, The major opportunities and challenges of industrial change are crucial to the discussion of industrial automation and standardization.

In this regard, Mr. Gu Jiandeng, President of Phoenix (China) Investment Co., Ltd. expressed his deep approval. In his opinion, the introduction of German Industry 4.0 and the Chinese government's development toward Chinese manufacturing 2025 have established the direction of smart manufacturing, which undoubtedly opened a new chapter for the entire industry. At the same time, the civilization of the new Internet has brought many opportunities for new charm and new growth rates. There is no reason why practitioners in the manufacturing and industrial fields do not pay close attention to this historic development opportunity. Forging is the core of Internet intelligence. Industrial base.

Gu Jiandeng told the gongkong reporter that in order to develop smart manufacturing, standards must be “first.” As the chairman of Germany's DKE, Phoenix has always played an active role in the standardization cooperation between China and Germany in intelligent manufacturing.

In addition, he said that China's scientific research institutes have always been the support for China's industries to promote technological development and industrial development. Three years ago, the company collaborated with Shanghai Institute of Industrial Automation Instrumentation to build an intelligent manufacturing innovation platform. Through China's scientific research institutes, Phoenix's core products and domestic technologies were combined to help government agencies promote the entire industry and research institutes. In-depth cooperation in all aspects.

With the support of technology as the basis for hardware support, the lack of soft talent may become the biggest stumbling block to the development of smart manufacturing in the country. In this regard, Phoenix also has forward-looking thinking and action. "Chinese university education, vocational education, and engineering and technology education must be able to match China's future smart manufacturing and the development needs of Industry 4.0," said Gu Jian Dang.

To this end, in 2013, Phoenix and the Sino-German Engineering School of Tongji University jointly established the laboratory of China's first university Engineering Education Industry 4.0, which opened up a new phase of the Phoenix Intelligent Education Alliance's cooperation in promoting industrial development in China. In the past three years, Phoenix has successively cooperated with Nanjing University of Science and Technology, Zhejiang University, Huanghuai College, Heilongjiang Institute of Technology and other educational institutions, and has cooperated with universities, vocational education, engineering and technical education organizations to jointly promote cooperation between industry, universities and research institutes.

From this, Gu Jian believes that as a carrier technology, it is the basis for helping us to lead to intelligent manufacturing in the future. At the same time, the transformation of achievements in the research of talent cultivation and production, learning, and research is a feasible path to the goal of intelligent manufacturing. Then, how to exert the positive role of talents in the future—whether front-line employees or production managers—in the intelligent transformation and the development of smart manufacturing is Phoenix's first priority.

Secondly, how to achieve a direct benefit for smart manufacturing companies through the combination of production, education and research, especially through university education; how can we combine the modern intelligent manufacturing technology with the company's manufacturing process? Focus on the problems conquered.

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