The invention provides a passenger
risk level classification method and device,
electronic equipment and a storage medium; a PSOBP neural
network model used for dividing passenger risk levels is trained in advance, and when passenger
risk level classification needs to be carried out on passengers to be inspected, a task thread is extracted through awakening, and a
data extraction module is calledto establish connection with a
source data platform; the method also includes extracting index
data information of the to-be-inspected passenger, and performing
data integration and
processing on theindex
data information of the to-be-inspected passenger to obtain a quantitative value corresponding to the index
data information of the to-be-inspected passenger; and determining the
risk level of the passenger to be inspected by using the PSOBP neural
network model according to the quantitative value corresponding to the index data information of the passenger to be inspected. According to theembodiment of the invention,
security check resources can be scientifically configured, the
security check pressure is relieved while the
security level is guaranteed, the queuing
waiting time of passengers is shortened, the airport
service quality and the
passenger satisfaction are improved, and finally, the purpose of high-quality development of the
civil aviation industry is achieved.