scholarly journals Opportunities, challenges and Countermeasures for the development of China's sports industry in the era of big data

2018 ◽  
Keyword(s):  
Big Data ◽  
Sports Industry

scholarly journals Feasibility Data of Traditional Sports Industrialization Development and Informatization Development Based on Big Data

2021 ◽  
Vol 292 ◽  
pp. 03037
Author(s):  
Sun Jiaji ◽  
Li Yuezhong
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Field Investigation ◽  
Living Standard ◽  
Sports Industry ◽  
Continuous Innovation ◽  
Existing Problems ◽  
Sports Events ◽  
Depth Analysis ◽  
Traditional Sports

Since the reform and opening up, China’s economy has been developing rapidly and the material living standard has been improving continuously. People begin to pay more attention to the mental and physical health. Therefore, more and more people take part in a variety of sports activities to exercise their body and watch large-scale sports events to cultivate the sports spirit. These changes have boosted the development of China’s sports industry, which is reflected in the continuous expansion of the scale of the sports industry, the deepening of the degree of industrial segmentation and the continuous innovation of the development concept. This paper mainly studies the feasibility data analysis of traditional sports industrialization development and informatization development based on big data. In this paper, by using the research methods of literature, observation, field investigation and logical analysis, the industrialization development of traditional sports is deeply studied and systematically combed. From the perspective of informationization, this paper makes an in-depth analysis of the current situation, existing problems, the importance of industrialization, and the advantages of industrialization of traditional sports, and makes a detailed exploration and elaboration of the opportunities brought by informatization to traditional sports industry and the development strategies of the industrialization of traditional sports in the future.

scholarly journals Research on Information Resource Sharing and Big Data of Sports Industry in the Background of OpenStack Cloud Platform

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Chuan Mou ◽  
Ye Cheng
Keyword(s):  
Economic Development ◽  
Big Data ◽  
Data Analysis ◽  
Resource Sharing ◽  
Positive Impact ◽  
Rapid Development ◽  
Information Resources ◽  
Cloud Platform ◽  
Positive Role ◽  
Sports Industry

The rapid development of information technology and Internet makes the sports information resources retrieval service more convenient and quick; sports policy in recent years lays a foundation for the development of the Internet + sports, the development of sports industry in the process of our country economy level of development status, and the development of sports industry into the era of information and big data. This paper takes OpenStack cloud platform as the research basis (1) to realize the sharing of sports industry information resources in OpenStack cloud technology and (2) to realize big data analysis of sports industry and (3) empirical research on big data of sports industry. The main content is to realize the construction of sports resources informatization based on the OpenStack cloud platform. Through the analysis and empirical study of the big data of the sports industry, the influence of the development of the sports industry in the process of China’s economic development is discussed. In this paper, the experimental results show that the sports industry showed a positive impact in the process of economic development, the sports economy for the development of the economy, the contribution rate reached 11.77%, the sports industry for the development of the economy, the pull rate of 1.056%, based on the cloud platform of information resources sharing of data analysis, sports industry for the development of the economy has a positive role in promoting.

scholarly journals The Construction of WTO Framework for the Development of My Country’s Information Technology Sports Industry Based on Big Data

2021 ◽  
Vol 292 ◽  
pp. 03039
Author(s):  
Li Yuezhong ◽  
Liu Yichong
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Culture Industry ◽  
Television Industry ◽  
Development Status ◽  
Sports Industry ◽  
Sports Culture ◽  
Film And Television ◽  
Economic Level ◽  
Traditional Sports

With the improvement of China’s economic level and the level of science and technology, people’s demand for sports products and services is greatly increasing, and China’s sports industry is showing a trend of diversified development. This article discusses the characteristics and connotations of the traditional sports industry and the characteristics of the sports industry in the era of big data, and then points out the challenges faced by the sports industry under the WTO framework and makes relevant recommendations. This paper also investigates the development status of the sports culture industry in our city through experiments, and the results show that the sports culture industry in our city involves 12 categories, of which sports film and television industry accounts for only 14.3%.

scholarly journals Application Algorithms for Basketball Training Based on Big Data and Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bo Li ◽  
Xiaofeng Wang ◽  
Jinting Yao
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Background Information ◽  
Basketball Player ◽  
Sports Training ◽  
Basketball Players ◽  
Recognition Mechanism ◽  
Sports Industry ◽  
Traditional Sports ◽  
Increasing Demand

In recent years, the increasing demand for physical health promotes the basketball sports industry’s reform. The latest science and technology enter the sports industry one after another and constantly impact the traditional sports equipment. However, the conventional sports technology scheme is unreasonable, and the sports training management models are obsolete. So, it is impossible to use scientific methods in basketball training, and the overall training effect is not good. This paper proposes a basketball training algorithm using big data and the Internet of Things. The proposed algorithm uses gesture recognition from continuous video movement characteristics of key figures, trajectory characteristics, and background information fusion. It improves the recognition mechanism based on the Shuangliu C3D video basketball player action classification method. Due to the lack of a scientific exercise plan for basketball players, a training plan based on BMI and IoT-enabled big data is devised. The proposed scheme is implemented so that different basketball players customize their own scientific sports training modules.

scholarly journals A Study on the Development of Leisure Sports Industry of China’s Sichuan in the Age of Big Data

2019 ◽  
Vol 26 ◽  
pp. 01005
Author(s):  
Chenliang Deng ◽  
Liang Li
Keyword(s):  
Big Data ◽  
Development Strategy ◽  
Large Data ◽  
Development Trend ◽  
Sichuan Province ◽  
Sports Industry ◽  
Leisure Sports ◽  
Distribution Of Resources ◽  
The Development Trend ◽  
Interview Questionnaire

This paper mainly analyzes the development of leisure sports industry of Sichuan province in big data age in terms of opportunities, challenges, development trends and strategies. In this paper, based on the methods of documentary, interview, questionnaire and logic analysis, combing large data for broad influence and huge benefits of leisure sports industry, and then analyze its development trend and development strategy. The mega data age is expected to bring about favorable opportunities to leisure sports industry of Sichuan province, such as creating more value, contributing to the flexible distribution of resources and to the trend of new ways of thinking in the research on leisure sports industry. Both the application of mega data technology to and the research on the realm of leisure sports industry are faced with drastic challenges. From wide application, the processing mode, precise marketing and personnel training aspects analyzes the development trend of leisure sports industry in the era of big data. We should take corresponding counter-strategies, which include innovating leisure sports industry, implementing full application of mega data technology, increasing the supply of related professional talents, supporting the informatization of leisure sports industry and establishing a platform of information resource for leisure sports industry.

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