Mileage statistic method based on GPS (global positioning system)

Abstract

The invention discloses a mileage statistic method based on a GPS (global positioning system). The mileage statistic method is used for acquiring information of moving speed of equipment in every second and calculating moving mileage of the equipment every second, wherein the mileage statistic method comprises the following steps: a, confirming whether the equipment is under a moving state or a static state; b, accumulating the travelled distance of the equipment under a motion state; and c, and making mileage compensation to the displacement generated when the equipment is under a static state. By continuously and repeatedly judging the moving speed of the equipment and conforming the moving state of the equipment, mileage accumulated errors caused by the phenomenon of position shift since the GPS obtains coordinate when the equipment is under the static state can be effectively avoided. Compared with the 10 percent of mileage statistic errors in the prior art, the method disclosed by the invention has the advantages that people can obtain more accurate mileage statistic information, and the errors are reduced to about 5 percent.

Description

technical field [0001] The invention relates to the technical field of software, in particular to a mileage statistical method, in particular to a global positioning system-based mileage statistical method. Background technique [0002] The birth of the Global Positioning System (GPS) has brought great changes to our daily traffic life. Since we can use this technology to obtain the coordinates of the equipment, we can easily perform some statistical work, such as the mileage statistics of equipment movement displacement. and other information. [0003] At present, when using GPS to count mileage, due to the inaccuracy of GPS itself, it may cause the drift of a fixed point. Especially when the device is at a low speed or in a static state, the GPS takes the actual position as the center of the circle, and the positions are randomly distributed. The common way to count the mileage is to multiply the real-time speed reported by the GPS per second by the time to calculate the...

AI Technical Summary

Problems solved by technology

This method still has the following disadvantages: because it simply sets a statistical initial speed threshold, if the filter threshold is set too high, the low-speed running mileage below this threshold cannot be accumulated, and if the filter threshold is set too low, the speed cannot be reached. For the purpose of filtering, such a one-size-fits-all statistical method will cause a large error of about 10%

Images