Research on intelligent decision-making system for metro train fire based on expert system
Metro trains are narrow and closed,which can easily lead to death and injury in the event of a fire.Timely and correct emergency decision-making is an important part of reducing personnel losses.By introducing expert systems into train fire emer-gency decision-making,response time can be shortened,and on-site personnels handling capabilities can be improved.The system first uses the three scenarios of train fire arriving at the station,fire in the tunnel between trains and continuing to arrive at the station or failing to arrive at the station,and analyzes the impact of different line conditions,different driving modes and different vehicle states on personnel emergency response,and based on experts knowledge and experience construct the target set and knowledge rule set of the train fire intelligent decision-making system.Secondly,the system uses forward reasoning as the control strategy.By obtaining the real-time status of the train subsystem and matching it with the knowledge rule set,a rule-based reason-ing mechanism and reasoning logic are formed.Finally,the system knowledge rules and reasoning logic were verified by simulating input variables through C++software.
万方数据
维普
