Method and device for automatic detection of network engineering parameters

Abstract

The invention discloses a method and device for the automatic detection of network engineering parameters, and relates to the field of communication. The method comprises the steps: rasterizing a service region of a detected community, determining the first position coordinate information of the detected community in the rasterized service region and a plurality of pieces of second position coordinate information of a plurality of sampling points in the rasterized service region based on first longitude and latitude information and second longitude and latitude information; calculating an inclined angle between a connection line of the sampling points and an azimuth angle according to the first and second position coordinate information, and detecting the deviation of the engineering parameters of the detected community based on the inclined angle. The method and device can achieve the recognition of the deviation of the azimuth angle of a section, guarantee the accuracy of network engineering parameters, achieve the recognition of antenna feeder reverse connection, achieve the automatic exploration of a network privacy problem, saves the onsite testing, optimization and rectification time, can achieve the quick positioning and solve a problem that the engineering parameters are not accurate, and effectively improve the users' satisfaction.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to an automatic detection method and device for network engineering parameters. Background technique [0002] With the large-scale construction of LTE (Long Term Evolution, Long Term Evolution) network, the current LTE network scale is close to three times the scale of CDMA (Code Division Multiple Access, Code Division Multiple Access) network. The LTE network basically adopts the BBU+RRU mode. At the same time, in order to meet the requirements of deep coverage, the network deployment is flexible, and there are many applications of small and micro stations. The huge number of sites and complex network structure in the LTE network bring great challenges to network maintenance and optimization. The basis of network optimization is engineering parameter information, referred to as industrial parameter information. The accuracy of industrial parameter information directly affect...

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