Method for predicting whether longitude and latitude information of community is abnormal

Abstract

The invention discloses a method for predicting whether longitude and latitude information of a community is abnormal and relates to a community longitude and latitude measurement technique. The method is based on big data analysis service of a cloud platform, data are automatically acquired and cleaned, communities with abnormal longitude and latitude information are mined with a qualitative analysis method, and accordingly, communities with probably abnormal longitude and latitude information are mined in a concentrated manner by building a model. According to the method, related basic information data are efficiently washed, and requirements of qualitative analysis and modeling data quality are met; multi-dimensional data mining is adopted, and work parameters and data quality problems of adjacent communities are accurately found and analyzed; the work parameters and the adjacent communities are checked regularly, data quality is continuously tracked and monitored, and investment of manpower resources is reduced; the checking accuracy of the work parameters is improved through evaluation and analysis of checking effects of the work parameters, a tracking and analysis mechanism is established, and problems about the longitude, the latitude, a direction angle and data of the adjacent communities can be quickly positioned, and the work efficiency is improved.

Description

Technical field [0001] The present invention specifically relates to a cell latitude and longitude measurement technology, specifically a method for predicting whether the cell latitude and longitude is abnormal. Background technique [0002] The latitude and longitude information of the base station is widely used in important application scenarios such as LBS, network optimization and network planning, GIS presentation, and has high requirements for data accuracy. The accuracy of data determines the availability of analysis results. However, in the actual application process, it is found that there are big problems in the data quality, especially the latitude and longitude data, which seriously affects the work of multiple departments such as network optimization, construction, and marketing. The main difficulties are as follows: [0003] (1) The inaccuracy rate of manual maintenance of latitude and longitude is relatively high. The latitude and longitude of the base station in...

AI Technical Summary

Problems solved by technology

[0003] (1) The latitude and longitude inaccuracy rate of manual maintenance is high

Most of the latitude and longitude of the base station in the resource system are based on manual maintenance, which is inaccurate

Especially the GSM network has a large stock, and the data changes after multiple phases of construction

There are also a lot of problems in the data of the remote station and the indoor branch station of the TD / LTE network

[0004] (2) The efficiency of manual verification is low, and the accuracy cannot be evaluated

The traditional manual verification mainly depends on the familiarity of the optimization personnel with the network. Using the method of manual station-by-site verification not only has low efficiency and cannot guarantee accuracy, but also has the problem of missing checks

Although the effect of data quality is not obvious after multiple rounds of verification

[0005] (3) The traditional system has a single verification method and low accuracy

Did not fundamentally solve the problem of latitude and longitude data quality

Images