Influence of Psychological Stress Disorder Based on Convolutional Neural Network on Rescuers

In response to some special difficulties in rescue work, such as complex environmental risks, variable accident causes, casualties and frequent accidents during the rescue process, an effective method is proposed to improve the psychological stress disorder of the personnel in the rescue work, thereby reducing the rescue work. Casualties of personnel, creative ideas for enhancing the combat effectiveness of rescue work. This article studies the impact of psychological stress disorder based on convolutional neural networks on rescuers, analyzes the related factors of psychological stress disorder based on relevant literature data, and provides a theoretical basis for the questionnaire survey in the following, through the questionnaire survey the results show that the discharge of gas during rescue and the treatment of flood accidents have a direct impact on the trance; the treatment of fire accidents, the treatment of gas and coal dust accidents, and the treatment of flood accidents have a direct impact on the autonomic disorder; the treatment of fire accidents has a direct impact on anxiety, the state has a direct impact; the handling of gas and coal dust accidents has a direct impact on the physical and mental disorders; the exploration in the suffocation area has a direct impact on the reaction disorders.