Application of Artificial Intelligence Technology in the Field of Airport Navigation Lamp Detection

With the rapid development of civil aviation industry, maintaining airport operation normally is a big workload every day. The navigation lamp system plays an important role on the operation of the airport. According to each airport's scales, there are considerable lamps install in airport running way and each lamps need to keep working well especially when airplane taking off or landing, however, inspecting each lamp's statues is a heavy works, the present solution is arranging special workers to check all navigation lamps, and airplane keep staying before examine finished. Due to the inspect time is very limited and the number of the navigation lamps is large, causing the intensity and difficulty increased. If staff found the faulty lamps in the process of inspection, only the second time to repair or replace. In order to improve airport operational efficiency. This paper will use the AI technology build an Expert system prototype to predict evaluation of lamps faulty based on lamp electrical characteristics, time of use, structure characteristics, thermal properties and others indicator, which is useful for staff to improve the work efficiency.