Self-adaptive method and self-adaptive system for reporting position information at intervals

Abstract

The invention discloses a self-adaptive method and a self-adaptive system for reporting position information at intervals, wherein the method comprises the following steps: acquiring the position information and speed information of terminal equipment by terminal equipment; recording the acquisition time; acquiring longitude and latitude values in the current position information of the terminal equipment; calculating the accumulated distance between the current position and the position reported the last time by utilizing the longitude and latitude values and the longitude and latitude values in the latest reported position information; judging whether the accumulated distance is larger than or equal to a preset distance threshold value; reporting the current position information of the terminal equipment and recording the report time point when the accumulated distance is larger than or equal to the preset distance threshold value. By adopting the method disclosed by the invention, the user traffic, the electric quantity of front-end equipment and the network bandwidth can be saved, the processing pressure of a server can be greatly alleviated and the data storage content is reduced.

Description

technical field [0001] The invention relates to the technical field of automatic positioning, in particular to an adaptive method and system for reporting position information at intervals. Background technique [0002] The front-end equipment reports the collected location information to the background server for the background to provide positioning, track display and other services, which are widely used in dispatching and other fields. At present, the time interval for the front-end equipment to report the collected location information to the background server is relatively fixed, and the interval length can be configured. When reporting, it will report at a fixed interval according to the set time interval. The time interval is as low as 1 second, 2 seconds, as high as 30 seconds, 60 seconds or even longer, and the span is relatively large, but the configured value cannot adapt to various situations. For example, if it is set to 2s, it is really necessary to ensure th...

AI Technical Summary

Problems solved by technology

The time interval is as low as 1 second, 2 seconds, as high as 30 seconds, 60 seconds or even longer, and the span is relatively large, but the configured value cannot adapt to various situations

For example, if it is set to 2s, it is really necessary to ensure the relative accuracy of the original trajectory when driving at a high speed, but it is really unnecessary to report so frequently when driving at a low speed or even standing still. Frequent reporting is harmful to the trajectory Accuracy does not help, it just wastes user traffic, device power, network bandwidth, increases server processing pressure and wastes storage space

However, if it is set to 30s, the accuracy of the trajectory is better guaranteed at low speeds, but it is difficult to guarantee the trajectory at high speeds.

Therefore, there will always be a certain degree of resource waste or trajectory distortion in a fixed reporting interval

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