We will move faster to break through bottlenecks in commercialization

PXIE-7846 Another common feature of the development of industrial software industry in Europe and the United States is frequent mergers and acquisitions. The top 5 simulation software companies in the industry have made 65 acquisitions in the past 10 years. Traditional industrial giants such as Siemens and General Electric have also repeatedly acquired software companies, coupled with their own large amount of industrial data accumulation, gradually from “hard” to “soft”.

“These days, they are not so much electrical equipment giants as industrial solution software leaders.” Lin Xueping, deputy director of the Intelligent Manufacturing Institute of the Intelligent Manufacturing Association of the China Association for Science and Technology, said: “Every integration will brew a greater treasure house of knowledge. The rapid accumulation of human industrial knowledge has made these industrial software companies the smartest industrial companies in the industry.”

PXIE-7846 Lin Xueping suggested that in order to promote the practical application and commercial transformation of industrial software scientific and technological achievements, the equipment manufacturing projects and projects of the competent departments should be more open to domestic software, major engineering projects should be more cooperative with domestic software enterprises, and large industrial groups with strength should also invest more in independent industrial software research and development and commercial transformation.

In fact, China’s military enterprises have also incubated industrial software with a fairly high level of technology. For example, the China Aircraft Strength Research Institute under the Aviation Industry Corporation of China, the large-scale structural analysis software developed by HAJIF won the first prize of the National Science and Technology Progress Award as early as 1985, and has been upgraded to a very high version with strong applicability. However, it is limited to internal use and has not been popularized in the civilian market on a large scale.

PXIE-7846 Focus on basic research and development education

In the field of chip design and production, how to arrange more and more huge unit devices on the chip in a fast and optimal way has been a difficult problem. In any smartphone today, there are three or four billion transistors integrated into the chip. Obviously, such a large scale device placement and winding cannot be done by hand, but requires electronic design automation (EDA) software.

In the past two years, Chen Jianli, an associate professor in the School of Mathematics and Computer Science of Fuzhou University, has proposed a new algorithm, which has been shown to be optimal both in theoretical proof and actual test program, and thus has become a rising star in the field of international EDA. He won the DAC(Design Automation Conference) best paper award in June 2017 and the CAD competition championship in ICCAD(International Computer-Aided Design Conference) in November 2017, both being the first time for a mainland scholar. He also has a paper that won the ICCAD2018 Best Paper Nomination Award.

PXIE-7846 Therefore, Ning Zhenbo, former chief consultant of AVIC Information Technology Center, suggested urging major universities to pay attention to basic research and development education, increase the training of basic research and development talents, and provide talent support for industrial software enterprises. At the same time, the evaluation system that simply evaluates the publication of papers should be changed to encourage scientific and technological personnel to devote themselves to basic scientific research.

Yan Lijuan, vice president of Beijing Suowei System Technology Co., LTD., also said that there are about 5 million IT personnel in China, and there are 40 to 50 million engineering and technical personnel, and these people should be fully mobilized to carry out industrial software research and development enthusiasm.

Leveraging cloud computing to catch up

PXIE-7846 In the interview, experts also said that although there is a 30-year gap between the domestic core industrial software and the international leading level, new technologies such as big data, cloud computing and artificial intelligence provide opportunities for China to catch up.

In recent years, online simulation platforms have emerged. For example, Shanghai Suqiao Simright cloud simulation platform, Beijing Lanwei EasyCAE cloud computing platform, Beijing Yundao Intelligent manufacturing, Hangzhou Yuanyuan Technology cloud grid platform, and Beijing Shichuang technology in the field of die casting. Online simulation is an emerging market, and there are also Welsim platforms in the United States, which are trying to break the monopoly of traditional software giants in the online field.

Lin Xueping believes that on the one hand, online platforms can not be pirated, which can better avoid the problem of piracy; On the other hand, its new architectural design and fast service response are more in line with the needs of small and medium-sized enterprises. It is suggested to encourage the development of new formats and new models of industrial software such as online simulation platforms, and use emerging technologies such as big data, cloud computing, and artificial intelligence to catch up.

Yan Lijuan also suggested that while developing industrial software, attention should be paid to developing industrial software platforms, that is, connecting and integrating various industrial software on one platform, establishing a unified digital model, and driving various industrial software through a neutral instruction set (instructions that do not depend on a certain industrial software).

She said that in the past, engineers engaged in complex manufacturing needed to use dozens of software with different functions to complete a complex design task, and the learning intensity and work intensity were very high. The industrial software platform can drive hundreds of industrial software, replace the repetitive labor of engineers, and the work efficiency can be increased by 10 times, and the intermediate design and calculation process can be traced, providing evidence support for the product development process.