Research on Monitoring and Early Warning Model of Crew Suitability Status Based on Multimodal Data
Focusing on the correlation of indicators in different stages of crew,a monitoring and early warning index system of crew's suitability for work based on multimodal data in different stages of crew's pre-job and post-job was constructed,and a random forest model for monitoring and early warning of crew's suitability for work was established.The results show that the accuracy of the mo-nitoring and early warning model of the crew's suitability for work is 94.4％considering the multimo-dal data association of the crew in different stages before and after their posts,and the accuracy of the monitoring and early warning model of the crew's suitability for work in a single stage is 80.6％.The indicators that have great influence on the crew's suitability for duty are fatigue(0.182 7),working pressure(0.136 8),water service qualification(0.117 8),blood pressure(0.085 4),working status(0.076 3),pre-job(0.070 8)and off-job heart rate(0.065 9).
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