Abstract

With the increasing popularity of outdoor sports, sports safety issues have gradually become prominent. In order to effectively manage safety risks in outdoor sports, this paper proposes an embedded system-based outdoor sports safety risk management and evaluation method. Intended to provide safety assurance for outdoor sports participants through real-time data collection, intelligent analysis, and early warning. This method identifies safety risk patterns in different sports scenarios through training and learning historical data. This paper also studied the construction method of an outdoor tourism security system and proposed an embedded system for encrypting the outdoor sports security database. An embedded system for encrypting outdoor sports security databases has been proposed. The simulation results show that the recall rate of the model is 92.8%, and the accuracy rate is 95.7%. The model can predict potential security risks based on real-time collected data and generate corresponding warning messages.

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