A method and device for counting the performance of relay equipment

Abstract

The invention provides a method and a device for performing statistics to get trunk equipment performance. The method comprises the following steps: acquiring service signaling data in a mobile network, and building an association relationship between the service signaling data and mobile users; resolving the acquired service signaling data to obtain position information in the service signaling data and running quality information of services of the mobile users; calculating distances between service positions and trunk equipment and azimuthal angles at the occurrence of the services respectively according to the position information in the service signaling data and pre-stored position parameters of the trunk equipment; judging trunk equipment to which the service signaling data belong according to the calculated distances and azimuthal angles; and determining performance parameters of the trunk equipment according to the association relationship, the trunk equipment to which the service signaling data belong and the running quality information of the services of the mobile users. Through adoption of the method, the trunk equipment to which occurring services of the users belong can be positioned and judged at high accuracy, so that the performance parameters of the trunk equipment are obtained.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for counting the performance of relay equipment. Background technique [0002] The current statistical method for the performance of wireless signal relay equipment takes the signal source cell as the unit, and counts the comprehensive performance indicators of the cell and all relay devices connected to the cell. Usually based on the tool platform of the wireless equipment manufacturer's traffic statistics platform (such as Huawei's M2000), the overall indicator at the cell level is output. This indicator integrates the comprehensive performance of the cell and all the relay equipment connected to it, and cannot distinguish the performance of a certain relay equipment. [0003] Therefore, it is impossible to directly locate the problem of the repeater. It is necessary to combine the overall community-level indicators in the background and condu...

AI Technical Summary

Problems solved by technology

Usually based on the wireless equipment manufacturer's traffic statistics platform (such as Huawei's M2000) and other tool platforms to output the overall indicator of the community level, this indicator integrates the comprehensive performance of the community and all the relay equipment connected to it, and cannot distinguish the performance of a certain relay equipment

[0003] Therefore, it is impossible to directly locate the problem of the repeater. It is necessary to combine the overall community-level indicators in the background and conduct CQT / DT tests on site to troubleshoot the problem point step by step.

As a result, the following effects are caused: First, the timeliness of problem discovery is poor: it is impossible to ensure that the problem is discovered in time after the problem occurs and before user complaints are caused; second, it is impossible to distinguish different module faults: if multiple repeaters are connected to a cell, If a hidden fault occurs in a certain repeater, because the single business volume is not high, it will not affect the cell-level indicators, so it is impossible to judge whether there is a fault in the repeater; third, the fault processing lags: when there is a hidden fault in the repeater, it cannot Analyzing and processing through effective index performance statistical methods, only by backtracking on user complaints to find problems

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