Design And Implementation Of Train Ticket Monitoring System Based On Java EE

Data is the essence of the digitized world.T he characteristics of digital information are efficient and convenient for works,and another one is that we can obtain a lot of valuable statics information.The Social stability is a prerequisite for national prosperity.It is worth us to study how to use and analysis information existing in digital to help people to find potential dangers and protect the social stability.T he railway sector began to implement real name ticket system since 2012.Buyers buy tickets online with the real name registration system.Hence the data generated by the system are absolutely reality and reliable.Meanwhile,it implies tha t data provided by the railway real name system are very valuable.So it is a valuable research about how to extract the key information from the real name ticket data t o help the public security personnel to maintain social peace.But at present our country has no mature system to analyze these data.Under this background,we use Java EE to design and realize a railway ticket real name monitoring system based on the real data generated by railway system.Our paper provides preliminary and exploratory work for using railway data.T he contributions of this paper are as follows.· Building out a basic platform.We building out a framework based on SSH platform.T he platform is characterized by the function of the system and platform independent.System functions are realized through confi guration items that can reflect the features of low coupling and agility.· Distributed query system.In order to deal with the huge amount of data produced by the railway department,this paper presents a distributed processing platform which can be employed to query information by using identity number,in a way of distributed and parallel.T his can reduce large amount of data processing time and extend system conveniently· Locate the user address.According to IP address provided by the computer when a user using it to buy a ticket on Internet,provide the address location of suspicious users.· Analysis of potential risk based on Bayesian theory.In this paper,we use a large number of police handling experience data to provide a priori probability,and then use Bayesian posterior probability to calculate.The target is to obtain a probability of an event that a person who has an experience of crime buys a ticket and plan to commit a crime again.We also provide a multi correlation model.These models ca help remind the public security personnel to nip in the bud.· Map display.Using the API provide by Google to develop an exhibition function help for the public security personnel to analyze information.This paper follows the order to be written which is a software engineering project development order.We analyze the requirement of the project at first,and then,we give a detailed design for the project.At last we give out some realized process.