The invention provides an active closed-loop fitting degree control method for intelligent
protective glasses, and belongs to the technical field of intelligent wearable equipment and man-
machine interaction control. According to the method, wearing state data are collected by integrating a
pressure sensor, a distance sensor and a temperature and
humidity sensor, the
temperature difference delta Tdew between the lens surface temperature and the air
dew point temperature is calculated to quantify the
fogging risk, and comprehensive evaluation is carried out in combination with the fitting state; a control instruction is generated according to a preset priority rule, high-risk anti-
fog and oppression discomfort conditions are processed preferentially, and a micro-
actuator is driven to dynamically adjust the fitting degree of the glasses; the
control effect is continuously optimized through closed-loop feedback, and parameter self-
learning based on user behaviors is supported. According to the scheme, intelligent cooperative balance of sealing performance, comfort and anti-
fog performance is achieved, the self-
adaptive capacity and user experience of the
protective glasses in a complex environment are improved, and the
protective glasses are suitable for being applied to multiple scenes such as industry and
medical treatment.