Research on Man-machine Environment Optimization Design Strategy of Military Cabin Based on Deep Learning

In order to enhance the adaptability of operators and military cabin environment and create a comfortable, efficient and safe cabin environment, in this paper, from the perspective of industrial design and artificial intelligence technology, the human-machine environment design method and strategy of military cabin are studied innovatively. The deep learning theory is introduced into the design of military cabin environment. The comfort model strategy of military cabin environment under human-machine efficiency load, the comfort model strategy of military cabin operators under situational awareness, the grey correlation model strategy of military cabin environment and operator comfort, and the intelligent recommendation system strategy of military cabin environment and operator optimal comfort matching under deep learning are studied, which provides new ideas and new directions for military cabin designers, in order to improve the military cabin human-machine environment and operator cognitive adaptation, manipulation efficiency and environmental comfort to reduce cabin human error and ensure system environmental safety.