Research On The Dynamic Classification Early Warning For Civil Aviation Airport

The civil aviation is capital-intensive service trade, which is Hi-Tech and risky. It has already become important drive strength of national economic development in the contemporary society. The objective of the thesis is to analyze dynamic classification early warning for civil aviation airport and to study the early warning system so as to prevent the emergence of accident-inducing elements and control the further development of them, to improve the civil aviation airport security management to be scientific and reliable, to decrease the rate of accidents and loss, and finally to promote the healthy and continuous development of the civil aviation airport. As the demand for the security work of the civil aviation airport becomes higher with the rapid development of civil aviation and the need of system innovation, the practical significance of the thesis is obvious on the background of both the policy"Safety first as well as prevention"being carrying out and the challenge being faced after the China's entrance of WTO. With the theories & methods of early warning management, safety science and artificial neural network science etc. being utilized, the thesis combines the front of several subjects and its methodology is valuable.In this article, explain and analyze the current situation and progress of study both at home and abroad, which is relevant to early warning of civil aviation airport, also analyze and compare the airport management at home and abroad. Based on the in-depth understanding of the airport operation, the index system of the dynamic classification early warning for civil aviation airport was established. Many factors were considered in this index system, such as stuff factors machinery and equipment factors environmental factors management factors and running data factors.After introducing the basic theory of the ANN, the model of dynamic classification early warning for civil aviation airport was established by using BP network and the index system of dynamic classification early warning for civil aviation airport. Artificial neural network (ANN) technique has a very strong nonlinear ability and the self-adaptability. Especially, it is suitable for resolving the problems such as complex uncertain inference of the causalities, determination, forecast, classification and so on. The ANN technique can just be applied in the safe-forecast. The implicative experience and knowledge of mankind, and the intuition thought of the viewpoint of the importance of each factor etc. can be achieved through learning from the situation of civil aviation airport operation. Once forecast by means of the technique, these experiences,knowledge and thought,and rational determination for the complex problem can be reappeared through the network.This article also research on the methods of release early warning Information, and put forward the information release of dynamic classification early warning for civil aviation airport on this foundation. Researched on the methods of release early-warning Information by using SMS. By using the ASP dynamic web programming and the knowledge of database, achieve the purpose of the backstage management, information release, results of the inquiry to the early warning Information database.