Station planning method and device based on clustering, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a station planning method and device based on clustering, electronic equipment and a storage medium, and relates to the field of equipment management of mobilecommunication. The station planning method comprises the steps of obtaining raster data after rasterization processing is performed on to-be-planned data; wherein the to-be-planned data are samplingpoints for arranging stations, and the raster data are a raster comprising a plurality of sampling points; clustering the raster data according to a preset clustering parameter to obtain a to-be-determined planning station; wherein the to-be-determined planning station is a clustering center obtained by clustering a plurality of sampling points in the grid; and taking the to-be-determined planningsite matched with the planning demand of the user as a target station. Compared with the traditional manual station planning, the site planning method provided by the invention can reduce the labor,greatly improve the working efficiency of network analysis and site planning, save the expenditure of a notebook computer, data analysis software and the like, and reduce the limitation on the personnel ability.

Description

technical field [0001] The present application relates to the equipment management field of mobile communication, and in particular, relates to a clustering-based site planning method, device, electronic equipment and storage medium. Background technique [0002] The existing site planning is mainly a manual operation. The staff use laptops and data analysis software to analyze the network coverage data of the operator, and at the same time manually add the planned site, and add information such as the site name, site location, and site latitude and longitude to the planned site. . [0003] Existing site planning is based on manual analysis, which has the following disadvantages: a large number of staff are required: 3 staff are often required to complete the planning of 1 operator in a second-tier city, and 5 staff are required in first-tier cities; work efficiency is low : Generally, it takes 1 week to complete the planning of 1 operator in 1 city. When analyzing a large ...

AI Technical Summary

Problems solved by technology

[0003] Existing site planning is based on manual analysis, which has the following disadvantages: a large number of staff are required: 3 staff are often required to complete the planning of 1 operator in a second-tier city, and 5 staff are required in first-tier cities; work efficiency is low : Generally, it takes 1 week to complete the planning of 1 operator in 1 city. When analyzing a large amount of data, due to the performance limitation of the laptop, it often takes longer time; the resource investment is large: each staff member completes the data analysis Need to configure laptop, analysis software, etc.

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