Visualization and analysis of the integration mechanism of artificial intelligence-enabled sports development and ecological environment protection

  • Yunqing Yang School of Physical Education, Changzhou University, Changzhou 213164, China
  • Yuhu Zhao Huaide College, Changzhou University, Jingjiang 214500, China
  • Jianqiang Guo School of Physical Education, Changzhou University, Changzhou 213164, China
Keywords: sports and ecological environment; visual analysis; artificial intelligence; artificial neural networks
Article ID: 697

Abstract

The development of all sports requires a competent sports ecological environment. Pollution of the sports ecological environment greatly restricts people’s enthusiasm and interest in taking part in sports activities, and at the same time greatly affects people’s physical and mental health and hinders the development of sports. As people’s awareness of environmental pollution protection increases, it will certainly curb and alleviate the environmental pollution problem. Promote social harmony and sustainable development. Therefore, this paper will intuitively analyze the integration mechanism of sports development and ecological environmental protection based on artificial intelligence. After analysis, China’s research in related fields, sports and environmental engineering disciplines accounted for the largest proportion of 74.46%, and with the progress of sports events and environmental protection, the number of international publications in 2017 reached a maximum of 134. To a certain extent, this is linked to the Rio Olympics in Brazil the previous year. However, in the global research in this field, the number of published papers in the United States reached a maximum of 159, which opened a large gap with other countries.

References

1. Peng Y. Study on the path of building a sports and leisure town with 10,000 Mu ecological tea garden in Western Hunan under the background of rural revitalization. Modern Economics and Management Forum, 2022, 3(1): 1-5.

2. Wu H J. The research on under water resources supporting capacity restraint in Xi’an city of the water sports. Desalination and Water Treatment, 2018, 121: 208-212.

3. Rosevear R, Cassidy T. The role of character in talent identification and development in New Zealand rugby union. International Journal of Sports Science and Coaching, 2019, 14(3): 406-418.

4. Ilies D C, Buhas R, Ilies M, Ilies A, Gaceu O, et al. Sport activities and leisure in nature 2000 protected area - Red Valley, Romania. Journal of Environmental Protection and Ecology, 2018, 19(1): 367-372.

5. Ming N. Characteristics and trends of English testing research in China: Visual analysis based on CiteSpace. Region - Educational Research and Reviews, 2021, 3(3): 1-6.

6. Lu B, Zhu M, He Q, Li M, Jia R. TMNVis: Visual analysis of evolution in temporal multivariate network at multiple granularities. Journal of Visual Languages and Computing, 2017, 43: 30-41.

7. Ben-Shalom U, Moshe R, Mash R, Dvir A. Micro-sociology and new wars: Visual analysis of terror attacks during the ‘Intifada of the Individuals’. Armed Forces and Society, 2020, 46(2): 281-301.

8. Chen Y, Zeng X Y, Yang F W, Sun F. Visual analysis of knowledge map of network Meta-analysis in traditional Chinese medicine based on CiteSpace. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China Journal of Chinese Materia Medica, 2020, 45(18): 4500-4509.

9. Gotz D, Zhang J, Wang W, Shrestha J, Borland D. Visual analysis of high-dimensional event sequence data via dynamic hierarchical aggregation. IEEE Transactions on Visualization and Computer Graphics, 2020, 26(1): 440-450.

10. Ha H, Mun S, Choi G, Hong E, Lee K. Visual analysis on the political orientation of historical characters in the Joseon Dynasty: Focusing on Seo, Geojeong. Archives of Design Research, 2019, 32(1): 147-160.

11. Zhang H, Liu F. Assessing ecological impact of sports events using artificial intelligence. Environmental Science and Pollution Research, 2023, 30(5): 1234-1245.

12. Medvedkov A, Nikanorova A, Shabalina N. Functional zoning of Kirovsk town (the Murmansk region) in conditions of tourist and recreational development of its territory. InterCarto InterGIS, 2019, 25(2) :429-436.

13. Youwen M. Study on the cultural construction of sports universities based on the co-ecology of school and enterprise. Boletin Tecnico/Technical Bulletin, 2017, 55(19): 137-143.

14. Mijin, KIM, Masako, Kobayashi. Factors Facilitating the Continuous Exercise in the Adolescents. Japanese Journal of Health and Human Ecology, 2019, 85(2): 67-79.

15. Steinbauer, Manuel, J, Kreyling, Juergen, Stoehr, et al. Positive sport-biosphere interactions? - Cross-country skiing delays spring phenology of meadow vegetation. Basic and Applied Ecology, 2018, 27: 30-40.

16. Barovic G, Vujacic D, Spalevic V. Cartography in sports and sports in cartography. Sport Mont, 2020, 19(2021): 1-6.

17. Song Y R. Optimization of quantitative research methods in social sciences in the era of big data. Acta Informatica Malaysia, 2023, 7(2): 92-96.

18. Izov N. Sport injuries and stem cells. Journal of Environmental Protection and Ecology, 2017, 18(2): 700-709.

19. Posthuma R A, Flores G L, Barlow M A, Dworkin J B. Social signaling and interorganizational relationships: Lessons learned from the professional sports industry. Business Horizons, 2018, 61(4): 521-531.

20. Turkay C, Kaya E, Balcisoy S, Hauser H. Designing progressive and interactive analytics processes for high-dimensional data analysis. IEEE Transactions on Visualization and Computer Graphics, 2017, 23(1): 131-140.

21. Yi C, Jian M, Liu Y. Knowledge mapping of social commerce research: a visual analysis using CiteSpace. Electronic Commerce Research, 2018, 18(4): 837-868.

22. Orakov A N, Sakenova N K, Sorokin A, Goryanin II. ASAR: visual analysis of metagenomes in R. Bioinformatics, 2018, 34(8): 1404-1405.

Published
2024-11-25
How to Cite
Yang, Y., Zhao, Y., & Guo, J. (2024). Visualization and analysis of the integration mechanism of artificial intelligence-enabled sports development and ecological environment protection. Molecular & Cellular Biomechanics, 21(3), 697. https://doi.org/10.62617/mcb697
Section
Article