A mobile terminal communication fault collection system

Abstract

The present invention discloses a mobile terminal communication fault collection system, including a fault information collection module, a fault feature extraction module, a fault identification module, a maintenance policy output module, a maintenance policy simulation execution module, a data analysis module and a scheduled inspection module. The maintenance policy simulation execution module is used to realize the simulation execution of the maintenance policy based on the pre-built mobile communication model, and output the corresponding simulation execution result. When the obtained simulation execution result falls into the preset threshold, the corresponding maintenance policy is automatically sent to the corresponding execution terminal for execution; when the obtained simulation execution result does not fall into the preset threshold, the reverse analysis module is started, which is used to realize the output of the maintenance policy based on the maintenance target parameter with the lowest cost as the principle, and send the output maintenance policy to the corresponding execution terminal for execution. The present invention realizes the efficient collection and analysis of mobile communication fault information.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication fault analysis, and in particular to a mobile terminal communication fault collection system. Background Art

[0002] With the continuous development of communication and terminal technologies, users often encounter various communication failures when using mobile terminals. In related technologies, the processing of communication failures is based on after-sales service personnel manually handling user feedback. According to the user feedback, the technical engineer contacts the user to understand the problem of the user terminal and guide the user to capture and upload the logs generated by the terminal for subsequent analysis by the technical engineer. The efficiency of handling fault feedback is low and the operation is complicated. At the same time, due to the large number of users reporting faults and the different languages ​​used by users, it is difficult for after-sales service personnel to handle user fault feedback in a timely manner. Summary of the invention

[0003] In order to solve the above problems, the present invention provides a mobile terminal communication fault collection system, which is characterized by comprising:

[0004] A fault information collection module is used to collect fault information;

[0005] Fault feature extraction module, used to extract fault information feature data;

[0006] A fault identification module, used for classifying fault information according to the feature data based on LSSVM;

[0007] A maintenance policy output module is used to output a corresponding maintenance policy according to the classification result of the fault identification module using a nearest neighbor classifier;

[0008] A maintenance policy simulation execution module is used to implement the simulation execution of the maintenance policy based on the pre-built mobile communication model and output the corresponding simulation execution result. When the obtained simulation execution result falls within the preset threshold, the corresponding maintenance policy is automatically sent to the corresponding execution terminal for execution; when the obtained simulation execution result does not fall within the preset threshold, the reverse analysis module is started to implement the output of the maintenance policy based on the maintenance target parameter with the principle of minimum cost, and send the output maintenance policy to the corresponding execution terminal for execution; the maintenance policy simulation execution module first drives the mobile communication model through the virtual parameter actuation module based on the collected fault feature data, and then drives the simulation model for analysis based on the virtual parameter actuation module according to the maintenance policy;

[0009] The data analysis module is used to analyze data through Tableau Desktop and fill the obtained fault data and its corresponding data analysis results into the pre-made template to complete the preparation of the fault analysis report;

[0010] The scheduled inspection module is used to implement the inspection of the working conditions of each mobile communication base station and the working conditions of the communication line, and input the inspection results into the corresponding BP neural network model to implement the evaluation of the working conditions of each mobile communication base station and the working conditions of the communication line;

[0011] The fault information collection module adopts a distributed setting, and each fault information collection module and the data analysis terminal use an independent channel to transmit data. The data terminal is equipped with multiple fault feature extraction modules, fault identification modules, maintenance policy output modules, maintenance policy simulation execution modules and data analysis modules, which are set one by one with the fault information collection modules;

[0012] The fault feature extraction module implements data simplification operation based on Hadoop's rough set fast attribute reduction algorithm, and then implements fault information feature data extraction based on CCIPCA algorithm;

[0013] The mobile communication model is constructed based on Simulink, and a correlation is established between various parameters of the mobile communication model and various parameters in the maintenance policy and various parameters in the maintenance target;

[0014] The mobile communication model is equipped with:

[0015] The virtual parameter actuation module establishes a relationship with the parameters of the mobile communication model and changes the parameters within a specified range, thereby driving various simulation analysis methods to calculate and solve different parameters;

[0016] The virtual sensor is a logic unit inserted into the established mobile communication model that can directly obtain the corresponding results or information goals, and is used to display the results of the virtual parameter actuation module.

[0017] The present invention has the following beneficial effects:

[0018] 1) Combining the Hadoop-based rough set fast attribute reduction algorithm with the CCIPCA algorithm greatly improves the efficiency of large-scale data analysis, thereby converting the diverse and massive data into usable data with information and commercial value, and then completing the mining of feature data.

[0019] 2) Based on Simulink, the simulation execution and reverse simulation output of the maintenance policy are realized, which greatly improves the efficiency of fault maintenance while realizing the automation of the entire system.

[0020] 3) Data visualization analysis is achieved based on Tableau Desktop, thereby realizing the calculation and acquisition of various target data, which greatly facilitates the use of staff.

[0021] 4) The data can be loaded and analyzed separately, thus improving the working efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The present invention is a system block diagram of a mobile terminal communication fault collection system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several variations and improvements may be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0024] like Figure 1As shown, an embodiment of the present invention provides a mobile terminal communication fault collection system, including several fault information collection modules and a data analysis terminal, each fault information collection module and the data analysis terminal use an independent channel to transmit data, the data terminal is configured with multiple fault feature extraction modules, fault identification modules, maintenance policy output modules, maintenance policy simulation execution modules, data analysis modules and a central processor, the central processor is used to coordinate the work of each module, the fault feature extraction module, the fault identification module, the maintenance policy output module, the maintenance policy simulation execution module, the data analysis module and the fault information collection module are set in a one-to-one correspondence; the fault information collection module is used to realize the collection of fault information, the user can directly call the fault repair telephone to connect the voice robot to feedback the fault information, or directly upload the fault information in the form of sending text messages; the fault feature extraction module is used to realize the data simplification operation based on the rough set fast attribute reduction algorithm of Hadoop, and then based on CCIPCA The algorithm realizes the extraction of fault information feature data; the fault identification module is used to classify the fault information according to the feature data based on LSSVM; the maintenance policy output module is used to use the nearest neighbor classifier to output the corresponding maintenance policy according to the classification result of the fault identification module; the maintenance policy simulation execution module is used to realize the simulation execution of the maintenance policy based on the pre-built mobile communication model, and output the corresponding simulation execution result. When the obtained simulation execution result falls within the preset threshold, the corresponding maintenance policy is automatically sent to the corresponding execution terminal for execution; when the obtained simulation execution result does not fall within the preset threshold, the reverse analysis module is started, which is used to realize the output of the maintenance policy according to the maintenance target parameters on the principle of minimum cost, and send the output maintenance policy to the corresponding execution terminal for execution; the data analysis module is used to realize data analysis through Tableau Desktop, and fill the obtained fault data and its corresponding data analysis results into the pre-made template to complete the preparation of the fault analysis report.

[0025] In this embodiment, the mobile communication model is constructed based on Simulink, and a correlation is established between each parameter of the mobile communication model and each parameter in the maintenance policy and each parameter in the maintenance target.

[0026] In this embodiment, the mobile communication model is equipped with:

[0027] The virtual parameter actuation module establishes a relationship with the parameters of the mobile communication model and changes the parameters within a specified range, thereby driving various simulation analysis methods to calculate and solve different parameters;

[0028] The virtual sensor is a logic unit inserted into the established mobile communication model that can directly obtain the corresponding results or information goals, and is used to display the results of the virtual parameter actuation module.

[0029] The maintenance policy simulation execution module first drives the mobile communication model through the virtual parameter actuation module based on the collected fault feature data, and then drives the simulation model for analysis based on the virtual parameter actuation module according to the maintenance policy.

[0030] In this embodiment, it also includes:

[0031] The scheduled inspection module is used to implement the inspection of the working conditions of each mobile communication base station and the communication line, and input the inspection results into the corresponding BP neural network model to implement the evaluation of the working conditions of each mobile communication base station and the communication line.

[0032] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A distributed autonomous collection and analysis system for mobile communication faults, characterized by: include: A fault information collection module is used to collect fault information; Fault feature extraction module, used to extract fault information feature data; A fault identification module, used for classifying fault information according to the feature data based on LSSVM; A maintenance policy output module is used to output a corresponding maintenance policy according to the classification result of the fault identification module using a nearest neighbor classifier; A maintenance policy simulation execution module is used to implement the simulation execution of the maintenance policy based on the pre-built mobile communication model and output the corresponding simulation execution result. When the obtained simulation execution result falls within the preset threshold, the corresponding maintenance policy is automatically sent to the corresponding execution terminal for execution; When the obtained simulation execution result does not fall within the preset threshold, the reverse analysis module is started to output the maintenance policy based on the maintenance target parameter with the principle of minimum cost, and send the output maintenance policy to the corresponding execution terminal for execution; the maintenance policy simulation execution module first drives the mobile communication model through the virtual parameter actuation module based on the collected fault feature data, and then drives the simulation model for analysis based on the virtual parameter actuation module according to the maintenance policy; The data analysis module is used to analyze data through Tableau Desktop and fill the obtained fault data and its corresponding data analysis results into the pre-made template to complete the preparation of the fault analysis report; The scheduled inspection module is used to implement the inspection of the working conditions of each mobile communication base station and the working conditions of the communication line, and input the inspection results into the corresponding BP neural network model to implement the evaluation of the working conditions of each mobile communication base station and the working conditions of the communication line; The fault information collection module adopts a distributed setting, and each fault information collection module and the data analysis terminal use an independent channel to transmit data. The data terminal is equipped with multiple fault feature extraction modules, fault identification modules, maintenance policy output modules, maintenance policy simulation execution modules and data analysis modules, which are set one by one with the fault information collection modules; The fault feature extraction module implements data simplification operation based on Hadoop's rough set fast attribute reduction algorithm, and then implements fault information feature data extraction based on CCIPCA algorithm; The mobile communication model is constructed based on Simulink, and a correlation is established between various parameters of the mobile communication model and various parameters in the maintenance policy and various parameters in the maintenance target; The mobile communication model is equipped with: The virtual parameter actuation module establishes a relationship with the parameters of the mobile communication model and changes the parameters within a specified range, thereby driving various simulation analysis methods to calculate and solve different parameters; The virtual sensor is a logic unit inserted into the established mobile communication model that can directly obtain the corresponding results or information goals, and is used to display the results solved by the virtual parameter actuation module.

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