RESEARCH ON BIG DATA OF YOUTH SPORTS BASED ON HEAVY HAZE POLLUTION ENVIRONMENT

摘要

As the assessment of the risk of young people's sports activities in a heavily haze-polluted environment is affected by subjective factors that will reduce the accuracy of the assessment,a big data research method for youth sports based on the heavily haze-polluted environment is proposed.A youth sports risk assessment model under the conditions of heavy haze pollution was constructed by comparing the template of adolescent exercise risk assessment,constraint parameter analysis and exercise risk assessment.The cardiopulmonary function and respiratory system function of adolescents were analyzed analytically.Based on the adaptive ant colony algorithm,the constructed sports risk assessment model was solved.The best youth sports risk assessment results were obtained by optimizing the global convergence through three methods.The results showed that the shortest evaluation time was only 24s with different amounts of sports data.The users that were not satisfied with the method were less than 0.4%,which indicated good practicability.This study can effectively complete the risk assessment of teenagers with different sports intensity under the heavy haze environment.