Thermodynamic diagram generation method and device based on trajectory data, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a thermodynamic diagram generation method and device based on trajectory data, electronic equipment and a storage medium. The method comprises the following steps: acquiring trajectory data and map data; storing the track data in a Hadoop platform distributed file system in an original format; clustering the trajectory data to obtain clustered data; storing the map data and the clustering data in an HBase distributed database; obtaining map data and clustering data corresponding to a thermodynamic diagram to be generated from the HBase distributed database; and generating a thermodynamic diagram according to the obtained map data and clustering data. The visualization efficiency of the thermodynamic diagram can be improved, the mapping time can beshortened, the jamming problem caused by user interaction can be improved, and the user experience can be improved while the position characteristics of the trajectory data are reserved.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to a method, device, electronic device, and storage medium for generating a heat map based on trajectory data. Background technique [0002] In recent years, with the continuous development of satellite positioning technology, LBS technology and the Internet, location data has been collected in various ways, and trajectory big data has shown explosive growth. Conventional databases are unable to cope with both management methods and storage capacity expansion. The advent of the era of big data has brought problems such as data structure changes, complex storage structures, and information fragmentation. Researching a technology that serves trajectory big data storage and management is one of the key research directions in the GIS field. Massive trajectory data has great research value and contains a large amount of geospatial information. Using the ...

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Problems solved by technology

[0003] At present, the shortcomings of the visualization of trajectory data heat maps are mainly reflected in: ① large data scale, long time-consuming visualization and low interactivity; ② low adaptive effect of heat maps, switching zoom levels, and location characteristics of trajectory data displayed by heat maps The deformation is large; ③The color gradient is the same at different zoom levels, resulting in thermonuclear phenomenon in data-intensive areas

At present, only optimizing storage and query performance can no longer meet the technical requirements required for large-scale data visualization, and the trajectory data itself should also be processed

At this stage, the optimization of big data visualization mainly improves the efficiency of graphing by reducing the overall data volume. However, this method still cannot fully overcome the above-mentioned defects in the visualization of trajectory data heat maps.

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