GPS trajectory data filtering method for working vehicles in factory

Abstract

The invention discloses a GPS trajectory data filtering method for working vehicles in a factory, and the method comprises the following steps: S1, receiving GPS data, sorting the GPS data according to the time in the GPS data, and storing the GPS data in a cache; S2, reading the next GPS data to be filtered from the cache according to a time sequence; S3, judging whether the current GPS data is the first data or not, if so, executing the step S5, and otherwise, executing the step S4; S4, judging whether the distance D between the coordinates in the current GPS data and the coordinates of thetemporary reference point is greater than a threshold value A and less than a threshold value B or not, if so, storing the GPS data corresponding to the coordinates of the temporary reference point asfiltered data, and otherwise, discarding the GPS data corresponding to the coordinates of the temporary reference point; and S5, marking a coordinate in the current GPS data as a temporary referencepoint coordinate, and returning to the step S2. The GPS trajectory data filtering method for the working vehicles in the factory is suitable for scenes with limited operation range, frequent acquisition speed and complex operation path, and can eliminate the ink dot phenomenon in the trajectory.

Description

Technical field [0001] The present invention relates to a navigation path optimization, and more particularly relates to a work vehicle GPS trajectory data filtering method of the plant area. Background technique [0002] English GPS Global Positioning System (GPS) abbreviation, its meaning and is measured using a time ranging navigation satellites, to form a global positioning system. GPS technology has been widely used in various fields, such as clock synchronization, a car navigation, real-time position monitoring. [0003] In contemporary things or manufacturing enterprises, often need to collect real-time monitoring of the location of the terminal by way of GPS data collected at a fixed frequency, such as express logistics industry, sharing the automotive industry, these industries need to provide real-time location information to the user to ensure the safety and effectiveness of goods, tools, etc.. And the terminal at the time of collecting GPS data due to signal interfere...

AI Technical Summary

Problems solved by technology

[0008] However, the above methods are only for the optimization of linear paths with large distances, and are not applicable to the optimization of the running trajectory of vehicles that are limited to a small factory area, such as forklifts, whose actual operating environment limits the working range of forklifts. Moving in a factory area or a warehouse, and often passing the same road many times, compared with the long-distance transportation industry, it has higher timeliness and complicated driving routes; besides long-distance distribution, forklifts also need Frequent loading and unloading of goods in a narrow environment will result in the generation of a large number of GPS coordinate points in a small area. If processed according to the existing method as mentioned above, it is often displayed on the track as figure 2 The trajectory map shown as an ink dot cannot clearly show the running trajectory of the forklift

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