Station prediction method and device, terminal and storage medium

Abstract

The embodiment of the invention discloses a site prediction method and device, a terminal and a storage medium, and belongs to the field of artificial intelligence. The method comprises the followingsteps: acquiring a target BSSID of at least one target AP in response to that a subway is in a pull-in state, the target AP being an AP scanned by a first terminal; uploading the first data packet toa server, the first data packet comprising a target BSSID and a first prediction station, the first prediction station being determined by the first terminal according to the currently registered basestation; receiving a site matching result sent by the server, wherein the site matching result is determined by the server according to a second data packet of at least one second terminal; and updating the current station according to the first prediction station and the station matching result. According to the embodiment of the invention, delayed site updating caused by base station updating delay is avoided, the accuracy and timeliness of site prediction are improved, meanwhile, the situation that high-frequency AP scanning is needed when the AP is singly utilized to predict the site canbe avoided, and the power consumption is reduced.

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...

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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

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