Low-power-consumption wearable positioning equipment and positioning method based on super computer

Abstract

The invention discloses low-power-consumption wearable positioning equipment and method based on a super computer, and the positioning method comprises the following steps that S1, a client uploads the cache data of an IMU to a server at a set frequency when the client is judged to be in a safe state or an initial state; the supercomputing center calculates the particle sampling data by using a particle filtering algorithm to obtain the maximum likelihood estimation and the uploading period P of the current position of the client; s2, when it is judged that the client is in a dangerous state,the server returns an uploading period P and a control instruction to the client, so that the client uploads the cache data of the IMU to the server at the frequency of 1 / P; meanwhile, a GNSS data acquisition module of the client is enabled to start to work, and the original observation data of the GNSS is loaded to the server in real time; and S3, the server carries out fusion processing on the IMU data and the GNSS data. The invention further comprises the low-power-consumption wearable positioning equipment based on the super computer. The method has the advantages of high positioning precision, low power consumption and the like.

Description

Technical field [0001] The invention relates to the technical field of positioning, in particular to a supercomputer-based low-power wearable positioning device and positioning method. Background technique [0002] The use of children's wearable devices for student location tracking has been a relatively common technology in recent years, and satellite navigation systems and inertial measurement units are usually used for location acquisition. [0003] Among them, satellite navigation system (Global Navigation Satellite System, GNSS): It is a satellite system that covers the whole world with autonomous geospatial positioning, allowing a small electronic receiver to determine its location (longitude, latitude and altitude), and broadcast along the satellite via satellite. The time signal transmitted in the line of sight is accurate to within 10 meters. The precise time and position calculated by the receiver can be used as a reference for scientific experiments. There are four pro...

AI Technical Summary

Problems solved by technology

There are four problems with GNSS: GNSS signals have strong directivity and are easily blocked by buildings; GNSS receivers have hot start and cold start times of tens of seconds or even longer; GNSS position update rate is limited to every Once a second, this update rate is not fast enough; GNSS accuracy is at the meter level, this resolution is too coarse for many embedded applications

However IMUs have the following disadvantages: Gyroscopes detect orientation through changes in angular velocity, but over time, gyroscopes tend to drift because it only detects changes and does not have a fixed frame of reference

[0007] 1) Existing methods for merging GNSS data and IMU data for high-precision positioning are all off-line processing methods, and results cannot be obtained immediately when the data is submitted;

[0008] 2) The existing method of collecting GNSS data and IMU data is completely out of touch with the post-processing process, resulting in unnecessary energy consumption during the collection process, and cannot be applied to the low power consumption requirements of wearable devices

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