Abstract: The initial layout of monitoring points in the existing airport noise monitoring system is mainly determined by experts' experience and specific noise complaints, and there is no scientific basis, and some crucial positions are left out because of the surrounding environment factors. Therefore, taken the Tianjin Binhai International Airport as the research object, the sensitive point is set up by adopting the more popular INM noise prediction model and the airplane noise environment standard around airport, to classify the airport noise monitoring region in a pan-grid manner and optimize noise monitoring points by the pioneering application of wasp colony theory. Research results indicate that noise monitoring points obtained from experiments can detect sensitive areas with superiority of its coverage rate.