System and method for realizing wireless beacon location positioning

Abstract

The invention relates to a system and a method for realizing positioning a wireless beacon geographic position, wherein the system comprises mobile equipment and a positioning server; the mobile equipment is used for acquiring wireless beacon signal strength changes and reporting the captured wireless bacon information as well as movement information and the geographic position information of the mobile equipment; the positioning server is used for calculating the geographic position and the movement attributes of the wireless bacon according to the wireless bacon information reported b the mobile equipment as well as the movement information and the geographic position of the mobile equipment. According to the system and the method for realizing positioning the wireless beacon geographic position disclosed by the invention, the relative geographic positions, movement inertia and the like of the wireless bacon are comprehensively calculated by adopting a triangular positioning algorithm and a movement inertia algorithm, and the business is timely reported through the platform of an intelligent terminal, so that the services of quick positioning, searching, tracking and the like of the mobile wireless bacon can be realized. The system is simple and convenient to apply, free of an extra base station and wide in scope of application.

Description

technical field [0001] The present invention relates to the technical field of wireless positioning, in particular to the technical field of wireless beacon positioning, and specifically refers to a system and method for realizing geographical location positioning of wireless beacons. Background technique [0002] There are many wireless signal tags (referred to as wireless beacons) in daily life, such as UWB (Ultra Wideband, ultra-wideband) tags, active RFID (Radio Frequency Identification, radio frequency identification) tags, iBeacon tags, ordinary BLE Bluetooth 4.0 tags, etc., These tags are generally very simple and compact, easy to carry, can work for a long time with low power consumption, and are suitable for short-distance broadcast signals. However, since beacons are often resource-constrained devices, they cannot obtain their own geographical location, upload their locations online, or report their location. At the same time, the positioning of traditional beacons...

AI Technical Summary

Problems solved by technology

Wide deployment efficiency is expensive, time-consuming and engineering effort

There is a lack of effective positioning means for beacon positioning for outdoor sports;

[0005] (2) The calibration data (feature vector / label pair) that needs to establish the relationship between signal strength and distance for the environment where the beacon is located is used as a training set for machine learning to establish RSSI location fingerprint data related to the scene. The work is complicated and inefficient, reducing the System deployment flexibility;

[0006] (3) There is no effective prediction of the possible geographical location of the beacon in motion;

[0007] (4) The existing triangulation algorithm based on beacon signal strength does not effectively combine the time factor, and the calculation accuracy tends to be related to the strength of RSSI (Received Signal Strength Indication, received signal strength indication), ignoring that in most cases, based on the signal arrival time (TOA) application validity is much greater than beacon signal strength validity

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