Research On Optimization Of Passenger Security Check Resources Based On Data Drive

With the increase in traffic volume,the requirements for airport service quality are also increasing.The efficiency of passenger security inspection service in the terminal building is a concentrated manifestation of the airport service quality in the passenger departure process.It effectively analyzes and studies changes in queue status and studies security inspection resource optimization strategies to improve operation efficiency and passenger satisfaction without changing the original airport spatial layout.Vital.At the same time,the security check link is one of the necessary cornerstones for constructing the entire airport model.Considering the security check system as a subsystem of the airport to construct the security check model can provide ideas for constructing the entire airport model to a certain extent.At present,the long-term operation of airport coordinated decision-making operation in major domestic airports has accumulated a large amount of historical data resources of airport operation,which is sufficient to provide support for various systems included in the airport.This article uses historical terminal security check data to obtain security check passenger flow at different times of the day,the number of security check channels open,and passenger security check status to establish a historical database.Through the analysis of historical data,the relevant laws are obtained to provide data support for the generation of the security check resource adjustment calendar.Then analyze the flow trend to obtain the flow characteristics under different conditions,and for the flow curves of different characteristics,the similar characteristic flow curves are grouped into a class to mine the rules,and the classification algorithm is used to classify according to the characteristics.Aiming at the future security check passenger queue state prediction,the multi-feature subspace identification method is used to construct a multi-feature terminal security queue state prediction model based on the historical database to realize the prediction of the security check passenger flow in different time periods.Set the trigger threshold of the tuning strategy in different states and the security check resource tuning strategy.When it is judged that the data obtained in the real-time scene exceeds the limit,construct and use the model predictive control based on the subspace identification method to generate the resource tuning strategy,and execute After obtaining data feedback,judge again whether it is necessary to re-tuning,and finally realize the optimization of security inspection resources.Through simulation verification and comparative analysis of actual security check data,this method can complete the optimization of security check resources on the basis of predicting the state of the security check queue within a day,providing a decision basis for the prediction of the security check queue state and resource optimization,and providing a new idea for building the entire airport model to achieve whole area A-CDM.