Design And Implementation Of Passenger Service Platform For Civil Aviation

In recent years, with the rapid economic development, people's income levels improve continuously. More and more people choose the air transport, this promotes the rapid development of China's civil air transport. However, at present, there is still a certain gap between the level of service quality of most airports and the general requirements and the expectations of the public. Therefore, this paper mainly studies the intelligent service platform of passengers which promotes the transformation of airport service management, accelerates the transition to the intelligent airport, enhances the overall competitiveness of civil aviation airport.Based on the research and analysis of the traditional object-based collaborative filtering algorithm, this paper summarizes the advantages and disadvantages of the existing recommendation algorithm, and proposes a co-occurrence matrix calculation based on decision tree learning. The algorithm combines the calculation of the co-variance value, the actual situation of the civil aviation airport and the decision tree learning algorithm, making full use. of the passengers' information. Moreover, it considers the Influencing factors on the visitors'browsing time, such as airport passenger age, sex, current operating time and temperature. And then predict the airport visitors' browsing type to realize the optimization of co-occurrence matrices.In terms of content,Firstly, this paper analyzes the requirements of the airport passenger on intelligent service platform to make sure what functions the system need to complete, including functional requirements analysis, data flow analysis, performance requirements analysis and so on; Secondly, conduct the overall design and detailed design of the system to determine how to achieve the specific requirements of the system, including the system module structure design,database design, external interface design; Thirdly, make code to achieve the airport passenger intelligent service platform with the three-tier architecture on Windows Server 2012, Microsoft Visual Studio 2013, Microsoft SQL Server 2012 environment; Finally, apply the software engineering methods for system software testing, including making test plans, designing test cases, module testing, integration testing, functional testing, performance testing and installation testing. Based on the above analysis and design the main function modules of the system are as follows: Flight dynamic inquiry, Flight guidance, Process policy, Building Inside guidance, Food recommendation, Self-service check, Shopping recommendation, Real-time inquiry, Recommended investigation, Air China service, Airport transportation,Airport-stationed units' services, Transfer service, Leisure and entertainment, Passenger information, Hotel recommendation and reservation.Based on the decision of the decision tree learning algorithm, the airport passenger's historical data table is constructed according to the data of the log system, which mainly includes the age of the passengers, the sex, the operating time, the current temperature and the records based on the log system. The browsing interval is different because there is a difference between the interval between the browsing time of the favorite items and the browsing items that do not like. In this paper, the browsing time interval is divided into five different types of rapid type, faster type, general type, slow type, slow type, according to different types of visitors to browse the time interval to predict. And then establish the relationship between the time interval and the value of the relationship between the value of the decision tree, the co-variate value is divided into three different situations. The article is recommended by an improved object-based collaborative filtering recommendation algorithm. Finally, the accuracy of the algorithm and the recall rate are analyzed.The system was officially launched in Lanzhou Zhongchuan International Airport in September 2016. At present, system is running normally and the average daily use of the passengers reached more than three thousand people. Using the system can not only effectively alleviate the airport staff' pressure, but also bring much convenience for the airport passengers travel. It wins the praise of the passengers.