The present application relates to a kind of computing method for realizing wide range
dynamic noise map
system fast update, comprising the following steps: using the
data information of
system database, based on existing day and night period and city road grade, simplify the structure of traditional road sound level mechanism model;Using
big data technology, using
hybrid modeling method, regression each grade road sound source (day and night) sound level contribution amount prediction model;Road
noise fast calculation method based on sound level contribution amount prediction model is constructed, the fast update of
dynamic noise map is realized.Compared with prior art, while ensuring the calculation precision, the operation and update efficiency of
noise map
system is greatly improved, and the technical constraints of foreign core computing
software are broken, the localization of
noise map core computing technology is realized, which provides
technical support for wide range deep development of
noise map.