Site prediction method, device, terminal and storage medium

Abstract

The embodiment of the present application discloses a site prediction method, device, terminal and storage medium, belonging to the field of artificial intelligence. The method includes: in response to the subway being in the station state, obtaining the target BSSID of at least one target AP, the target AP is the AP scanned by the first terminal; uploading the first data packet to the server, the first data packet includes the target BSSID and the second A predicted site, the first predicted site is determined by the first terminal according to the current registered base station; receiving the site matching result sent by the server, the site matching result is determined by the server according to the second data packet of at least one second terminal; according to the first predicted site and Site matching results update the current site. The embodiment of the present application avoids untimely site update caused by base station update delay, improves the accuracy and timeliness of site prediction, and avoids the need to scan APs at high frequency when simply using APs to predict sites, thereby reducing power consumption.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to a site prediction method, device, terminal, and storage medium. Background technique [0002] When people travel by public transport such as subways, they need to always pay attention to whether the current stop site is their target site, and the arrival reminder function is a function to remind passengers to get off in time when they arrive at the target station. [0003] In related technologies, the terminal usually uses the data collected by sensors (such as acceleration sensors, gravity sensors, and magnetic sensors, etc.), calculates whether the vehicle enters or exits the station through acceleration and deceleration, and combines the map for site prediction, or recognizes traffic through voice. The station reporting information of the tool identifies the current station. [0004] However, when the above method is used for si...

AI Technical Summary

Problems solved by technology

[0004] However, when the above method is used for site prediction or identification, the vehicle does not always drive at a constant speed during the driving process, and the posture and movement of the passenger holding the terminal and walking inside the vehicle will also have a certain impact on the terminal sensor, and There is a lot of noise in the vehicle, and it is impossible to accurately obtain site information through voice recognition. These factors will lead to inaccurate site prediction results of the terminal

Images