Study on Thermal Comfort of Radar Electronic Cabin Operator Based on BP Neural Network

Radar electronic cabin is the main operation place for operators, and operators need to carry out various activities and operations in the cabin for a long time. Therefore, the evaluation and prediction of the thermal comfort of operators has become the premise for the design of the thermal environment in the cabin and the improvement of the efficient work of operators. Based on this, this paper studies the thermal comfort of operators of transient thermal environment, collect physiological parameters, psychological parameters and environmental parameters, use them as the index set of thermal comfort modeling, learn and train the index set data with BP neural network, establish the prediction model of human thermal comfort, compare the prediction results and obtain the correctness of the prediction model. The thermal comfort model established in this paper can be applied to the thermal comfort assessment and thermal environment optimization of radar electronic cabin operators.