Track data playing method and apparatus

Abstract

The invention discloses a track data playing method and apparatus, which is used for shortening transmission time of track data and improving query and playing efficiency of the track data. The track data playing method comprises the steps of obtaining an identifier of a to-be-queried device and a query time period; querying the track data of the to-be-queried device in the query time period according to the identifier of the to-be-queried device and the query time period in a track database, performing redundancy elimination processing on the queried track data, and drawing a track line according to the track data subjected to the redundancy elimination processing, wherein the track database stores a corresponding relationships between an identifier of each device and the track data of the device at any moment; and sending the track line to a specified device for performing playing.

Description

Technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for playing track data. Background technique [0002] With the advent of the era of big data, various devices are equipped with Global Positioning System (GPS) modules, and each device is generating location information at all times to respond to industry needs. The access and aggregation of location information generates a large amount of data every moment, which puts great pressure and challenges on how to efficiently query and play the track of equipment. [0003] The existing trajectory query and playback strategy is: query the trajectory data according to the device (Identifier, ID) and time field, and then return the trajectory data obtained by the query to the memory, and then dilute and process the trajectory data in the memory. The trace data after thinning out is returned to the browser, and then the trace data is played one by one in the br...

AI Technical Summary

Problems solved by technology

However, the existing trajectory query and playback strategy has the following defects, specifically: no data preprocessing is performed, the cost of data query and extraction is high, and the efficiency is low; during the transmission of trajectory data, due to the large amount of data Bottlenecks occur in the process, which affects query efficiency; due to the limitation of browser memory, the playback of massive trajectory data is limited; after thinning, many trajectory points are extracted, and the generated trajectory lines cannot restore the real trajectory well; trajectory playback The track data can only be played after all track data query and thinning are completed and returned to the browser. The playback efficiency is low and the track data query effect is affected.

[0004] To sum up, in the existing trajectory query and playback strategy, after the trajectory data of the device is queried, the trajectory data obtained by the query is not preprocessed, resulting in a bottleneck due to a large amount of data during transmission, and the transmission time is long. query efficiency

Images