Kang Chenggang, deputy director of software and Information Service Department of Jiangsu Provincial Department of industry and information technology; Wang Chunhui, Professor / doctoral supervisor of Zhejiang University and member of the information and communication economy expert committee of the Ministry of industry and information technology; Yang Sen, chairman of digital sophomore software technology (Suzhou) Co., Ltd; Li Na, Secretary General of Suzhou Industrial Internet industry alliance; Wang Zongrong, vice president and Professor, School of mechanical engineering, Nanjing Institute of engineering; Li Hongyan, general manager of Beijing Shenming Technology Co., Ltd; Dr. Sun Qian, Department of intelligent manufacturing, Suzhou University; Wei Chengfeng, general manager of Beijing Jingdiao five axis technology research center; Zhang Weichen, PhD, School of automotive engineering, Tsinghua University; Li Ronghu, general manager of Suzhou zengrui Precision Machinery Co., Ltd; Qiu Tianchen, CIO of Jiangsu Hengli Hydraulic Co., Ltd., and nearly 300 enterprise representatives attended the event.

Li Na explained the policies related to the intelligent transformation and digital transformation of Suzhou to the participating enterprises, and pointed out that the formulation and implementation of the "new two modernizations" policy provides an all-round guarantee for Suzhou manufacturing enterprises. Enterprises should make full use of policy incentives to help launch the brand of "viewing Suzhou through industrial Internet". The alliance will make every effort to build an industrial Internet Ecosystem suitable for Suzhou's economic development and build a service platform of CO creation, co construction, sharing and win-win.

Wang Chunhui, professor and doctoral supervisor of Zhejiang University and member of the information and communication economy expert committee of the Ministry of industry and information technology

Wang Chunhui gave a keynote speech on the digital transformation of manufacturing industry under the new development pattern from the aspects of the significance and core needs of the digital transformation of manufacturing industry. In his speech, he proposed that if the manufacturing industry wants to make a breakthrough, it should achieve several "new": one is the new thinking in the transformation of the manufacturing industry, one is the new machinery in the transformation of the manufacturing industry, one is the new talents in the transformation of the manufacturing industry, and the other is the new platform in the transformation of the manufacturing industry.

Yang Sen, chairman of digital sophomore software technology (Suzhou) Co., Ltd

In his keynote speech "building industrial ecology and helping intelligent manufacturing", Yang Sen first described the origin of Xi'an Lingxiu electromechanical Intelligent System Technology Co., Ltd. and digital secondary technology software technology (Suzhou) Co., Ltd., and emphasized the strategic significance of digital secondary in the Yangtze River Delta and even the whole country. In the future, digital sophomores will build a one-stop online and offline integration service platform to help the automation, informatization, digitization and intelligent transformation of small, medium-sized and micro enterprises in manufacturing and foreign-funded enterprises in the Yangtze River Delta. Then, he focused on the ten key technology categories in the intelligent transformation of enterprises and the six key elements of intelligent factories. Combined with the actual enterprise cases and the theoretical knowledge of intelligent transformation of precision manufacturing factories, he explained why manufacturing enterprises need intelligent transformation and how to do intelligent transformation in simple terms for the delegates. Finally, he looked forward to the future of intelligent manufacturing industry and called on major service enterprises in the industry to accelerate the construction of technology R & D and service platform, and accelerate the creation of the whole industry chain service ecology such as digital thinking, digital technology and digital talents.

Chao Jian, CTO of Xi'an Lingxiu electromechanical Intelligent System Technology Co., Ltd

First of all, Chao Jian pointed out the problems in the production process of real enterprises, such as "unable to know the real situation of the production site". Therefore, he delineated four key points and discussed them in detail around the manufacturing process data collection and Application Analysis: first, obtain the data of enterprise equipment startup, shutdown and standby, and conduct data analysis, which is conducive to the enterprise to accurately locate the loopholes existing in the production process. Second, the expansion of product production process parameter database can help enterprises improve their manufacturing process. Third, real-time grasp of equipment production parameters to promote further Capacity Upgrading of enterprises. Fourth, the multi-channel acquisition and analysis of production information is convenient for enterprises to speed up real-time management.

Jiang Wei, deputy general manager of Beijing Shenming Technology Co., Ltd

With regard to the theme of precision machine tools and intelligent production line, Jiang Wei pointed out that the intelligent system should fully understand the communication mode of equipment in the production line and communicate the functional characteristics of each device with designers. Only when these functions are fully mastered and fully communicated, digital personnel or intelligent personnel can make a reasonable and reliable intelligent system.

Jiang Shanzhong, CEO of Wuxi yunfeiyun Intelligent Technology Co., Ltd

"How to do intelligent design, intelligent process design and intelligent production line design?" On this issue, Jiang Shanzhong put forward three main points. First: ensure that marketing, after-sales, management and other departments use professional tools and gradually upgrade intelligently. Second: deepen the construction of 3D driven technology and PM platform to ensure that the data and documents generated by various departments can be interrelated. Third: combine the data, integrate the product change law into the model, and realize the rapid design of standardization, informatization and modularization.

Peng Yong, vice president of Xiyou intelligent manufacturing and Information Technology Research Institute

Peng Yong mainly shared the issue of "industrial talent training under the background of Intelligent Manufacturing", from the following aspects: talent training standards should be connected with enterprise post skill standards, talent training standards should be connected with general standards, industry and enterprise standards, talent training should be connected with enterprise practical application, teaching process should be connected with production process Student construction and specialty construction should be connected with the upgrading needs of intelligent manufacturing, and the experimental site should be constructed according to the standards of intelligent factory or digital workshop.

Li Xinglin, technical director of industrial Internet of China Unicom Zhongxun Institute

5g technology is gradually infiltrating into the industrial field. Li Xinglin expressed his view: under the conditions of digital transformation and intelligent upgrading, automatic control and industrial control are facing a new pattern. Future enterprises will take science and technology as the core, integrate big data, cloud computing, 5g network and automatic control, and form a complete closed loop.