TITLE:
A Study on the Early Warning of Athletes’ Safety in Sport Events Based on the “Fusion of Data and Intelligence”
AUTHORS:
Chen Sun, Jian Li, Qiaochu Gao
KEYWORDS:
Sport Events, Early Warning Monitoring, Big Data, Artificial Intelligence, Data Analysis
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.9 No.8,
August
13,
2021
ABSTRACT: 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.