A Study of Industrial Convergence in the Context of Digital Economy Based on Scientific Computing Visualization

Abstract

With the rapid development of computer hardware and software and the rapid spread of network, the amount of data in scientific computing has exploded. Big data visualization has become one of the important research contents in scientific computing. Against the background of rapid development of information technology and digital technology, the scale of digital economy is increasing day by day, and China’s digital economy has ushered in unprecedented progress, and it has become an important force in leading economic development. The development of digital economy promotes industrial upgrading and transformation and facilitates industrial integration, and many traditional industries have given rise to a series of new industries. Scientific computational visualization is a new research discipline with a wide range of applications, including energy surveying, natural sciences, finance, and business. However, as a brand-new discipline, further research is needed in areas such as the application of scientific computational visualization techniques based on the digital economy environment. In this study, we propose a scientific computing visualization approach based on a big data framework for industry convergence analysis in the context of digital economy, which consists of a cloud computing platform for industry convergence in the context of digital economy by integrating neural networks in the platform, and scientific computing visualization by built-in GPU hardware. Traditional research methods for scientific computing visualization are discussed, and algorithms and techniques are classified in terms of the types of data domains studied. Finally, the further development and research directions of scientific computing visualization in the big data environment are given in conjunction with the main theoretical and application results achieved by our group in scientific computing for the field of big data visualization. Scientific computing visualization will not only promote the development and application of cutting-edge information technology, like cloud computing, big data, cyber security, artificial intelligence, computational science, system theory, and so on, but also bring a unique and disruptive development and change to the industrial integration in the context of digital economy.

Analysis of the coupled and coordinated development of sports and tourism industries and the driving factors

“…To the new concept of integrating the sports tourism business, new components like digital technology and artificial intelligence must be added. Following this, scholars have engaged in a significant amount of empirical study and inquiry in the current context of industrial integration motivated by digital integration, yielding positive research findings 29,30 . Some research results have been produced in the research of regional sports tourism.…”

Research on the coupling coordination and prediction of industrial convergence and ecological environment in rural of China

“…Although the conclusion is controversial, most studies believe that industrial integration is beneficial to ecological environment through energy efficiency improving (Dong et al, 2021a), green innovation (Dong et al, 2021b) and industrial structure upgrading (Yang and Wang, 2022). With the convergence of high-tech technologies, some traditional industries have developed into new eco-friendly industries (Zhou et al, 2022). What about the situation in rural areas?…”

Study on the development status of the coupling of the digital innovation ecosystem and the digital economy

“…Therefore, the issue of how to strengthen the digital innovation of complementors in platform ecosystems has become the key to the development of platform ecosystems [10][11][12]. Theoretically, the research of platform ecosystem exists on the crossfertilization of multiple disciplines, and ecological niche, as the core of the environmental theory, is the basis of the digital innovation behaviors of compliments, but the current research on the ecological niche of complementary platforms is still immature; especially the mechanism of the influence of the environmental niche of complementary platforms on their digital innovations is still unclear, and indepth research is urgently needed [13][14][15]. This paper explores the digital innovation ecosystem, digital economy, and coupling degree first.…”