User perceptive classification method and device based on measurement report data

Abstract

The invention discloses a user perceptive classification method and device based on measurement report data. The user perceptive classification method based on the measurement report data comprises the following steps: analyzing user measurement report information to form training data; generating a classification rule according to the training data; associating the measurement report data with S1-MME interface data to obtain the measurement report information; performing quality judgment classification on the measurement report information according to the classification rule so as to generate a judgement classification result of the measurement report information; marking a user as a potential complaint user if the judgement classification result of the user is that the bad quality number exceeds the first preset number, and giving out an alarm. According to the user perceptive classification method disclosed by the embodiment of the invention, mathematical modelling can be performed by analyzing the measurement report of mass user so as to acquire the classification rule, thereby achieving an effect of automatically discriminating the user bad quality call, the manpower input is reduced, and the user in continuous bad quality can be alarmed aiming at the judgment classification result.

Description

technical field [0001] The invention belongs to the technical field of wireless networks, and in particular relates to a user perception classification method, device, computer equipment and computer storage medium based on measurement report data. Background technique [0002] In related technologies, poor quality analysis generally uses a drive test (Drive Test, also called a road test) and a call quality test (Call Quality Test), and collects network-related data such as signal strength and signal quality in the test area through a dedicated test system. In the later stage, the collected data is manually replayed and analyzed to screen out poor quality problems or road sections. The related technology is mainly based on a specific range of tests, and manual screening is performed according to the result data (including tables and graphics) output by the test system. [0003] The poor quality analysis in the related art has the following disadvantages: (1) A road test or ...

AI Technical Summary

Problems solved by technology

[0003] The poor quality analysis in the related art has the following disadvantages: (1) a road test or dial-up test needs to prepare a set of test vehicles, test equipment, positioning equipment, test software and corresponding test engineers and analysis engineers, which requires a lot of manpower input.

(2) The driving test is limited to the roads that vehicles can pass, and the dialing test is also limited by manpower, so the cycle of test analysis is long and the scope is limited

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