On the afternoon of July 31, 2018, Chengdu Mould Industry Association was invited by Sichuan Aerospace Cloud Network Technology Co., Ltd. to participate in the Aerospace Cloud Network Conference Room, hosted by Chengdu Big Data Industry Alliance, and supported by Aerospace Cloud Network. Intelligent Manufacturing Seminar'.
First of all, Yao Shasha, Executive Deputy Secretary General of Chengdu Big Data Industry Alliance introduced the guests and gave a welcome speech.
Then, Vice President Jing Kai of Sichuan Aerospace Cloud Network Technology Co., Ltd. introduced the development history of Aerospace Cloud Network and the strength of Aerospace Cloud Network in the field of industrial Internet, and shared the industrial Internet + intelligent manufacturing practice with everyone.
Subsequently, Sichuan Chenggong Fuchuang Technology Co., Ltd., University of Electronic Science and Technology, City Mould Association, Machinery Chamber of Commerce, Sheet Metal Association, Foundry Association and other 10 associations and enterprises exchanged views on the development and status quo of intelligent manufacturing in various industries. The participants agreed that in order to improve the development and application of a new generation of intelligent technologies, big data innovation should be encouraged to promote deep integration with the real economy, further increase the output value of manufacturing enterprises, and contribute to the industry under the new era and new economy. In the heated discussion, the Chengdu Big Data Industry Alliance initiated and was recognized by the participants, and established the 'Big Data Intelligent Manufacturing Special Committee'.
Finally, Deputy Director Liu Guanghua of the Industrial Cooperation Department of Chengdu Economic and Trade Commission and Deputy Director of the Intelligent Manufacturing Industry Department, Mr. Cheng Wei, gave a detailed interpretation of the Implementation Opinions on Promoting Intelligent Manufacturing Development in Sichuan Province, bringing policy support for industrial big data intelligent manufacturing. .
