Application of information management system approach in airport pavement maintenance strategy selection

The modern airport applied the airport pavement management system APMS to enhance efficiency of maintenance. Selection of repair strategy is one of the most important tasks in APMS and a suitable repairing strategy would once for all guarantee that needed repairs to be carried out at the right time. Normally the repairman would follow the advice of the expert and execute a set plan designed previously based on the past experience and know-how acquired by those experts and some on-site situations. Nevertheless, it is not rare in practical situations that the repaired pavement becomes damaged again soon and it says the former strategy is not adequate to solving the problem or material is definitely called for. This study also has taken advantage of a machine learning theory of neural network, by means of an expert questionnaire, and through special case study and integration to accumulate relevant knowledge to facilitate the making of better than ever proper strategies when the need presenting itself in the future to make repair suggestions. One part of this study we have added a feedback learning function to the system concerning repair materials. This will enable the system to keep a non-stop upgrading process to assure the optimal suitability of those materials.