Author(s)

Chen Sun, Jian Li^*, Qiaochu Gao

School of Economic and Management, Shanghai University of Sport, Shanghai, China.

As there are many safety factors involved in sports events, the uncertainty and complexity of event risks have led to the frequent occurrence of sudden death and injury accidents among athletes. Starting from the analysis of the data in the 522 Gansu Baiyin Cross Country Race accident report, this paper discusses the feasibility and effectiveness of applying big data and intelligent techniques to guarantee the safety of the athletes in sport events, by all-round monitoring the relevant elements during the whole event’s process. Real-time warning is accomplished on the basis of intelligent analysis of the monitoring data.

Sport Events, Early Warning Monitoring, Big Data, Artificial Intelligence, Data Analysis

Sun, C. , Li, J. and Gao, Q. (2021) A Study on the Early Warning of Athletes’ Safety in Sport Events Based on the “Fusion of Data and Intelligence”. Open Journal of Social Sciences, 9, 299-304. doi: 10.4236/jss.2021.98020.