Mass data aggregation display method based on map

Abstract

The invention discloses a mass data aggregation display method based on a map. The method includes the specific steps that firstly, any one map is called to serve as a base map; secondly, a grid covering layer is added to the called map, wherein the number of grids in the grid covering layer is the number of data which needs to be displayed currently; thirdly, the data needing to be displayed is obtained from a server, the data is traversed so as to be compared with the longitude and latitude range contained in each grid, and the data in the same grid are aggregated, wherein the aggregating mode can be determined according to needs; fourthly, after the aggregated data which needs to be displayed on a current screen is obtained through the first three steps, all the data is positioned to the longitudes and latitudes of the grids corresponding to the data and rendered into the map, that is, the aim of data aggregation display is achieved. When the aggregation display method is used, the data with neighboring geographic positions is aggregated into one data point, and the data is obtained according to the longitude and latitude range of the current screen and displayed so as to achieve the aim that the map labeling data is displayed at a high speed.

Description

technical field [0001] The invention relates to a map-based massive data aggregate display method, which belongs to the technical field of map massive data aggregate display. Background technique [0002] The rapid development of Internet technology has brought more and more various information products, especially in the past two years, the gradual maturity of big data technology has provided more refined data support for the management of large government enterprises, such as the map display based on massive data There are more and more applications of command management and dispatching systems. [0003] The biggest difference between the front-end display of massive data and the traditional display technology is that the amount of data has become very large. Since most of the traditional map engines are based on relational databases, the query speed is already very slow when the amount of data reaches millions. The efficiency of online display is even lower, and systems ...

AI Technical Summary

Problems solved by technology

[0003] The biggest difference between the front-end display of massive data and the traditional display technology is that the amount of data has become very large. Since most of the traditional map engines are based on relational databases, the query speed is already very slow when the amount of data reaches millions. The efficiency of online display is even lower, and the system based on big data often has more than billions of data, and the corresponding amount of data to be displayed is also large, so there is an urgent need for a map-based display method for massive data

[0004] In some current similar applications, in order to solve this problem, most of them combine the data into the map and then slice the map, and then display it by the front end. Although this method can solve the problem of display efficiency, it cannot display real-time changing data.

However, in practical applications, situations such as vehicle position display on the map, weather live display, and equipment geographical distribution display are often encountered. This method cannot meet the needs.

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