This paper proposes a sudden large area intelligent identification and early warning method

using the algorithm of neural network to predict the future users village

relying on the K-Means clustering algorithm and Apollo mourinho’s basic value theorem to determine the area of and through linear regression algorithm for comparison between the predicted value and basic value

determine the early warning area according to the longitude and latitude of the warning area

build the Delaunay triangulation

determine the early warning area of the base station coverage

neighbourhood relations

the latitude and longitude information on surrounding site together

using the crawler technology for base station coverage boundary

output warning area.