Fecha de publicación: 25/04/2023 Fuente: Wipo "BigData" The embodiment of the invention provides a population identification method and system based on big data signaling processing and a storage medium. The method comprises the following steps: identifying user registration information and communication table data according to signaling data information of a terminal user, screening out a first marked user, and extracting signaling time data and signaling identification place data to obtain base station dynamic sector interaction information, extracting base station sector identifier dynamic response data, obtaining corresponding base station sector dynamic raster data according to the base station sector raster dynamic distribution model, calculating to obtain trajectory density data in a time period, and performing threshold comparison according to the trajectory density data to screen population attribute categories; thus, based on a big data signaling technology, terminal user signaling data is processed to obtain base station sector data and raster data, trajectory density data is obtained through calculation, population attributes are recognized, and the technology that user trajectory parking conditions are recognized according to the signaling data to judge the population attributes is achieved. And the accuracy of identifying and judging the floating population attributes in the region is improved.