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With the development of information technology, multimedia technology has been widely used in various disciplines, and has achieved very good results in actual teaching, effectively improving the quality of teaching. The application of multimedia teaching in college physical education is a typical example. Teachers can present the demonstration and imitation of physical education by means of multimedia display, which can effectively improve the efficiency and enthusiasm of students in learning. This article focuses on the application of multimedia network teaching platform and physical education, aiming to better improve the quality of physical education in colleges and universities and improve students’ sports ability.

Purpose- This study seeks to investigate the collaboration between Digitalization and traditional manufacturing industry and investigate, how digitalized management brings new chances and challenges of management. Design/methodology/approach – The author designed a content analytical study researching the role of digitalization in traditional manufacturing industries. The article presents a selective but systematical review of recent digitalization trend and digital twin to be applied for innovative management in Industry 4.0 era. Findings– Digitalization is highly correlated with traditional manufactory in Industry 4.0 era. The study brings a new outlook on the next wave of Digitalization and review of associated challenges and opportunities for management and innovation in traditional manufacturing industries. Research limitations/implications – The research focuses on two branches of traditional industries only: machine tools building and metalworking industries. Future research needs to examine other traditional industries. The research is limited to 2 high related traditional manufacturing industries, machine tools and metalworking industry. Practical implications – The study and application of digitalization should be highly recommended and launched in traditional manufacturing industries. Universities, institutes and vocational schools should update, optimize their courses systems according to prediction of future industry. Originality/value – The paper enhances understanding about the collaboration between digitalization and traditional manufacturing industry. This paper analyzes an important issue the digitalization serves traditional industries. It is unique in its broad analysis of the related terms – Digitalization, Machines 4.0, Industry 4.0 and innovative management in Industry 4.0 era.

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In network-based manufacturing, an enterprise alliance has such characteristics as: information, integration, globalization and variation, which put forward new requests for the conventional quality control technology. Exploring the new quality control technology in machining process for enterprise alliances based on process parameter, this paper brings forward a sort of system architecture and implementing plan, which is composed of equipment layer, distributing information disposal layer, network truss layer and decision-making layer. The disposal method of data losing and time delay are also presented.

Storm surge disasters in the form of numerical simulation data are often not intuitive, and stored in different business department and hinder the understanding of decision makers on the results and information integration, at the same time from the application point of view it can not meet the disaster needs of real-time visualization. In this paper, in connection with numerical simulation of storm surge disasters and distribution of the calculated results, we provide the real time numerical simulation of storm surge disasters and the browse and query of the water level and flow field visualization of spatial and temporal distribution based on the Web Service technology and visualization technology. Finally, Taking Shanghai as an example, achieved the result of storm surge disasters prediction seamless visualization of business process integration, as well as real-time visualization of the multi source heterogeneous data, providing support services for storm surge disasters assistant decision.

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