Base station data modeling method and terminal

Abstract

The embodiment of the invention provides a base station data modeling method. The method comprises the steps that base station information of multiple base stations is acquired, wherein the base station information contains station IDs as well as longitudes and latitudes of the base stations; according to the base station information, the base stations are displayed in a geographic information system (GIS); adjacent region attributes of the station ID of the ith base station in the GIS are determined according to the station ID of the ith base station, wherein the ith base station is any one of the base stations, and the adjacent region attributes of the ith base station include Thiessen polygon data and adjacent region polygon data of the ith base station; according to the adjacent region attributes, the spatial rationality of the ith base station is analyzed. The embodiment of the invention further provides a terminal. When the method is adopted to analyze the rationality of the base stations, more abundant data structures and expression modes can be provided.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a base station data modeling method and a terminal. Background technique [0002] With the rapid development of communication technology, it is necessary to ensure that the construction of communication infrastructure meets the needs of users for wireless network resources, and to increase the sharing rate of communication infrastructure, increase resource investment benefits, reduce resource duplication, and prevent resource waste. Its work goals of major telecom operators, tower companies and communication management departments. At the same time, the sharing of infrastructure brings about the reduction of communication costs and communication service fees, which is also the demand of communication users for many years. [0003] In the prior art, in the process of analyzing neighboring cells of a station, the analysis of distance between neighboring cells is a commonly ...

AI Technical Summary

Problems solved by technology

In the analysis process, on the one hand, the process data (distance between stations, Thiessen polygon, whole website) is generally used once and only serves the final result, and the scattered data of non-library structure is difficult to satisfy the association and reuse of data On the other hand, due to the lack of data association, the Thiessen polygon that can be applied to GIS spatial visualization is no longer used, and the data results can only be presented in the form of tables, and GIS cannot be further used for spatial analysis operations or GIS visualization. Therefore, the data structure and expressive ability is relatively simple

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