Vehicle location information compression collection method, terminal and system

Abstract

The invention discloses a vehicle positional information compressing and acquiring method, terminal, and system and relates to the technical field of location-based service. The method comprises steps that a terminal acquires the position and the speed data sequence of a vehicle where the terminal is located in order to perform curve fitting on the data sequence, just sends a curve characterization parameter and auxiliary data to a central end so as to achieve compression and acquisition; the terminal resolves position coordinates by using an acceleration module when a navigation satellite signal is lost; the terminal temporarily stores data when a mobile network signal is lost and sends the data when the mobile network signal is restored; the central end operates a decompression algorithm to resolve the locus of the vehicle according to the vehicle data curve characterization parameter. The method is used for monitoring vehicle positions and dispatching vehicles, achieves data compression at the acquisition terminal so as to relieve system load, and solves a data compressing and acquiring problem in a simple way when the navigation satellite signal is lost temporarily or lost.

Description

technical field [0001] The invention relates to the technical field of location-based services, in particular to a method, terminal and system for compressing and collecting vehicle location information. Background technique [0002] Vehicle location monitoring and dispatching play an important role in the management of modern logistics and passenger transport, but in order to achieve refined management, the biggest problem currently facing is the problem of data loss. The problem of data loss includes two aspects: First, the minute-level vehicle location data collection interval can no longer meet the demand, and if the second-level collection interval is adopted, the system load will be greatly increased (including communication bandwidth, storage space, processing power, etc.); The second is that with the construction of high-rise buildings, viaducts, overpasses and other facilities in cities, the long-term loss of satellite positioning signals often occurs, and the resul...

AI Technical Summary

Problems solved by technology

The problem of data loss includes two aspects: First, the minute-level vehicle location data collection interval can no longer meet the demand, and if the second-level collection interval is adopted, the system load will be greatly increased (including communication bandwidth, storage space, processing power, etc.); Second, with the construction of high-rise buildings, viaducts, overpasses and other facilities in cities, long-term loss of satellite positioning signals often occurs, and the resulting lack of location data also seriously affects the actual application effect

When solving these two problems, the strong correlation between them increases the complexity of the system; since the number of monitoring targets is usually large, certain requirements are put forward for the cost control of the terminal

Images