The development of sports is closely related to the ecological environment. The development of any sports requires a good sports ecological environment. Sports activities are inseparable from the carrier of the ecological environment. Without the ecological environment, there would be no sports activities. However, the problem of ecological environment pollution that people face in sports activities is very serious. Sports ecological environment pollution posed a huge threat to people's physical and mental health, and also greatly restricted people's enthusiasm and interest in participating in sports activities, and also greatly hindered the development of sports. The improvement of people's awareness of environmental pollution protection in sports is bound to further curb and alleviate many environmental pollution problems such as air pollution and garbage pollution. In a certain sense, it is helpful to solve and control the problem of ecological environment pollution, and promote the harmonious and sustainable development of society and ecological environment. Therefore, this paper would conduct a visual analysis of 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 development of sports events and environmental protection, the number of international publications in 2017 reached a maximum of 134. To a certain extent, this is related to the Rio Olympics in Brazil the previous year. However, in the international 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.

Cheng Chen. Visual Evaluation of the Integration Mechanism of Sports Development and Ecological Environmental Protection in the Era of Artificial Intelligence. International Journal of Sports Technology (2020), Vol. 1, Issue 3: 32-51. https://doi.org/10.38007/IJST.2020.010304.

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