CN111314124B - Network problem analysis method, device, equipment and storage medium for high-speed rail network - Google Patents
Network problem analysis method, device, equipment and storage medium for high-speed rail network Download PDFInfo
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- CN111314124B CN111314124B CN202010082585.1A CN202010082585A CN111314124B CN 111314124 B CN111314124 B CN 111314124B CN 202010082585 A CN202010082585 A CN 202010082585A CN 111314124 B CN111314124 B CN 111314124B
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Abstract
The embodiment of the invention provides a method, a device, equipment and a storage medium for analyzing network problems of a high-speed rail network, which are used for receiving a complaint request of a user on the high-speed rail network at a high-speed rail station, wherein the complaint request comprises a user number and network problem occurrence time; acquiring information of a cell occupied by a user in a high-speed rail network according to the user number and the network problem occurrence time; and acquiring network evaluation index information of the user occupied cell from the database according to the information of the user occupied cell and the network problem occurrence time, inputting a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back a user complaint request according to the analysis result. When a user complains about a high-speed rail network, the network problem analysis result can be obtained through the preset analysis model only by acquiring the user number and the network problem occurrence time, the network problem analysis operation is simplified, the analysis efficiency is improved, the complaint handling timeliness is improved, and the user satisfaction is improved.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for analyzing a network problem of a high-speed rail network.
Background
With the rapid development of the mobile internet technology, users can surf the internet for entertainment anytime and anywhere through the mobile terminal, and especially when the users wait at a high-speed rail station and take a high-speed rail, most of the users can browse webpages, browse streaming media, chat, play games and the like through the mobile terminal by applying a high-speed rail network.
Because the number of users of the high-speed rail network is large, more than 80% of the users are located at a high-speed rail station, after receiving complaints of the users at the high-speed rail station, customer service personnel at a service end need to obtain data from different platforms, for example, a signaling platform, a sensing platform and a network management platform obtain corresponding data, and then a tabular correlation analysis mode is adopted to analyze the reasons of network problems of the high-speed rail network, at least 30 minutes is usually needed, the analysis efficiency is low, the response time is long, the complaint processing timeliness is poor, the feedback of the complaints of the users cannot be rapidly carried out, and the user satisfaction is low.
Disclosure of Invention
The embodiment of the invention provides a network problem analysis method, a network problem analysis device, a network problem analysis equipment and a storage medium for a high-speed rail network, which are used for improving the processing efficiency of network problem complaints of a high-speed rail station, improving the timeliness of complaint processing and improving the satisfaction degree of users.
The first aspect of the embodiments of the present invention provides a method for analyzing a network problem of a high-speed rail network, including:
receiving a complaint request of a user for a high-speed rail network at a high-speed rail station, wherein the complaint request comprises a user number and network problem occurrence time;
acquiring information of a cell occupied by a user in the high-speed rail network from a related system according to the user number and the network problem occurrence time;
acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the network problem occurrence time;
and inputting the network evaluation index information into a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back the user complaint request according to the analysis result.
In a possible design, the inputting the network evaluation index information into a preset analysis model to analyze the network problem of the user occupied cell includes:
inputting the network evaluation index information into a preset analysis model, and determining indexes which do not meet a preset threshold value in the network evaluation index information according to the network evaluation index information and the preset threshold value;
and determining the reason of the network problem of the cell occupied by the user and/or key factors influencing the perception of the user according to the index which does not meet the preset threshold.
In a possible design, before the obtaining the network evaluation index information of the cell occupied by the user from the database, the method further includes:
and network evaluation index information of each cell of the high-speed rail network is obtained in real time and stored in the database.
In one possible design, the network evaluation indicator information includes a network key performance indicator KPI and a key quality indicator KQI that affects user perception.
In one possible design, the network evaluation index information includes at least one index of network coverage capability, network quality level, user number, wireless network PRB utilization, and average per-PRB interference level.
A second aspect of an embodiment of the present invention is to provide a network problem analysis apparatus for a high-speed rail network, including:
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving a complaint request of a user on a high-speed rail network at a high-speed rail station, and the complaint request comprises a user number and network problem occurrence time;
the acquisition module is used for acquiring the information of the cell occupied by the user in the high-speed rail network from a related system according to the user number and the network problem occurrence time; acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the occurrence time of the network problem;
and the analysis module is used for inputting the network evaluation index information into a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back the user complaint request according to the analysis result.
In a possible design, when the network evaluation index information is input into a preset analysis model to analyze the problem of the user occupying the cell network, the analysis module is configured to:
inputting the network evaluation index information into a preset analysis model, and determining indexes which do not meet a preset threshold value in the network evaluation index information according to the network evaluation index information and the preset threshold value;
and determining the reason of the network problem of the cell occupied by the user and/or key factors influencing the perception of the user according to the index which does not meet the preset threshold.
In a possible design, before the obtaining module obtains the network evaluation index information of the cell occupied by the user from the database, the obtaining module is further configured to:
and acquiring network evaluation index information of each cell of the high-speed rail network in real time and storing the network evaluation index information in the database.
In one possible design, the network evaluation indicator information includes a network key performance indicator KPI and a key quality indicator KQI that affects user perception.
In one possible design, the network evaluation index information includes at least one index of network coverage capability, network quality level, user number, wireless network PRB utilization, and average per-PRB interference level.
A third aspect of an embodiment of the present invention is to provide a network problem analysis device for a high-speed rail network, including:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of the first aspect.
A fourth aspect of embodiments of the present invention is to provide a computer-readable storage medium having stored thereon a computer program;
which when executed by a processor implements the method according to the first aspect.
According to the method, the device, the equipment and the storage medium for analyzing the network problems of the high-speed rail network, the complaint request of a user on the high-speed rail network at a high-speed rail station is received, wherein the complaint request comprises the user number and the network problem occurrence time; acquiring information of a cell occupied by a user in the high-speed rail network from a related system according to the user number and the network problem occurrence time; acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the occurrence time of the network problem; and inputting the network evaluation index information into a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back the user complaint request according to the analysis result. According to the embodiment of the invention, when the user complains about the high-speed rail network, the network problem analysis result can be obtained through the preset analysis model only by acquiring the user number and the network problem occurrence time, so that the operation of network problem analysis is simplified, the analysis efficiency is improved, the timeliness of complaint treatment is improved, and the user satisfaction is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a communication system architecture diagram of a network problem analysis method for a high-speed rail network according to an embodiment of the present invention;
fig. 2 is a flowchart of a network problem analysis method for a high-speed rail network according to an embodiment of the present invention;
fig. 3 is a flowchart of a network problem analysis method for a high-speed rail network according to another embodiment of the present invention;
fig. 4 is a structural diagram of a network problem analysis apparatus of a high-speed rail network according to an embodiment of the present invention;
fig. 5 is a structural diagram of a network problem analysis device of a high-speed rail network according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Because the number of users of the high-speed rail network is large, more than 80% of the users are located at a high-speed rail station, after receiving complaints of the users at the high-speed rail station, customer service personnel at a service end need to obtain data from different platforms, for example, a signaling platform, a sensing platform and a network management platform obtain corresponding data, and then a tabular correlation analysis mode is adopted to analyze the reasons of network problems of the high-speed rail network, at least 30 minutes is usually needed, the analysis efficiency is low, the response time is long, the complaint processing timeliness is poor, the feedback of the complaints of the users cannot be rapidly carried out, and the user satisfaction is low. In order to improve the processing efficiency of network problem complaints of a high-speed rail station, analyze the cause of network problems and/or key factors influencing user perception, improve the processing timeliness of complaints and improve the user satisfaction degree, the embodiment of the invention only needs to acquire the user number and the network problem occurrence time when a high-speed rail network complaint is carried out on a server side, acquires the information of the user occupying the cell in the high-speed rail network according to the user number and the network problem occurrence time, further acquires the network evaluation index information of the cell occupied by the user from a database, inputs a preset analysis model, analyzes the network problem of the cell occupied by the user, and can obtain an analysis result.
The network problem analysis method of the high-speed rail network is suitable for the communication system shown in fig. 1, the communication system comprises a server 11 and a mobile terminal 12 of a user, when the user has network problems when using the high-speed rail network at a high-speed rail station, the user can send a complaint request to the server 11 through the mobile terminal 12, and the server 11 carries out complaint feedback to the mobile terminal 12 after obtaining a network analysis result; or the communication system comprises a service end 11, a mobile terminal 12 of a user and a customer service terminal 13, when the user has a network problem when using a high-speed rail network at a high-speed rail station, the user can contact customer service personnel through the mobile terminal 12, and the customer service personnel inputs the user number and the network problem occurrence time to the service end 11 through the customer service terminal 13. The server 11 may be a server, a server cluster composed of a plurality of servers, or a cloud computing service center; the user's mobile terminal 12 may include a smartphone, tablet, laptop, wearable device, or the like; the customer service terminal 13 may include a device (e.g., a fixed-line telephone, a mobile phone, etc.) that contacts the mobile terminal 12 of the user and a device (e.g., a notebook computer, a desktop computer, etc.) that inputs the acquired user number and the occurrence time of the network problem into the service end 11, or the customer service terminal 13 may be a device that integrates the above two functions, e.g., a smart phone, a tablet computer, etc.
The network problem analysis process of the high-speed rail network is described in detail below with reference to specific embodiments.
Fig. 1 is a flowchart of a network problem analysis method for a high-speed rail network according to an embodiment of the present invention. The embodiment provides a network problem analysis method of a high-speed rail network, which is applied to a server and comprises the following specific steps:
s101, receiving a complaint request of a user for a high-speed rail network at a high-speed rail station, wherein the complaint request comprises a user number and network problem occurrence time.
In this embodiment, when a user accesses the internet through a mobile terminal such as a smart phone, a tablet computer, a laptop, a wearable device, and the like at a high-speed rail station, when a network problem is encountered, the user may initiate a complaint request to a server through the mobile terminal, specifically, the user may initiate the complaint request by sending instant information to the server through the mobile terminal, or call a service-side customer service telephone to complaint through a telephone, and customer service personnel obtain a user number and network problem occurrence time from the user, and then income the user number and the network problem occurrence time to the server. During complaints, the user can only report the user number and the occurrence time of network problems, and can also report other information, which is not described again here.
And S102, acquiring information of the cell occupied by the user in the high-speed rail network from a related system according to the user number and the network problem occurrence time.
In this embodiment, after acquiring the user number and the network problem occurrence time, the server may query, from the related system, information and network resources of a Cell (Cell) occupied by the user number in the high-speed rail network at the network problem occurrence time in an internet-based manner.
S103, acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the network problem occurrence time.
In this embodiment, the server may obtain network evaluation Indicator information of each cell of the high-speed rail network in real time, and store the information in the database, where the network evaluation Indicator information may include a Key Performance Indicator KPI (Key Performance Indicator) of the network and a Key Quality Indicator KQI (Key Quality Indicators) affecting user perception, where KPI is usually an important parameter that can be monitored and measured in the network layer and is used to represent network Performance, and KQI focuses on the service layer and is a service experience Quality guarantee for the user using the network, mainly aiming at service Quality parameters that are provided by different services and close to user experience. Specifically, the network evaluation index information may include at least one KPI index of network coverage capability, network quality level, number of users, utilization ratio of Physical Resource Blocks (PRB) of the wireless network, and average interference level per PRB, where the network coverage capability may adopt RSRP (Reference Signal Receiving Power) index, the network quality level may adopt 64QAM scheduling proportion, and the number of users and utilization ratio of PRB of the wireless network may reflect network load level, and the average interference level per PRB may reflect network interference level; in addition, the network evaluation index information may further include KQI indexes corresponding to different services, such as a page corresponding success rate, a page duration, a page downloading speed of a Web (Web browsing) service, and further, for example, a play success rate, an interruption rate, and a pause number of a streaming media service, which are not described herein again.
After the server side obtains the information of the cells occupied by the user and the network problem occurrence time in the network problem analysis process, the network evaluation index information of each cell of the high-speed rail network, which is obtained in advance, can be inquired from a database, so that the network evaluation index information corresponding to the network problem occurrence time of the cells occupied by the user is obtained.
And S104, inputting the network evaluation index information into a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back the user complaint request according to the analysis result.
In this embodiment, the server may analyze the acquired network evaluation index information corresponding to the network problem occurrence time of the cell occupied by the user, the preset analysis model is used in the analysis process, the server inputs the network evaluation index information into the preset analysis model, and after performing multi-dimensional analysis through the preset analysis model, the reason why the network problem occurs in the cell occupied by the user and/or the key factors affecting user perception are output, so that the user complaint request may be fed back (for example, a solution proposal is given) according to the analysis result, and the high-speed rail network may be correspondingly optimized according to the reason of the network problem and/or the key factors affecting user perception.
In an optional embodiment, as shown in fig. 3, the inputting the network evaluation index information into a preset analysis model in S104, and analyzing the problem of the network occupied by the user in the cell specifically may include:
s201, inputting the network evaluation index information into a preset analysis model, and determining indexes which do not meet a preset threshold value in the network evaluation index information according to the network evaluation index information and the preset threshold value;
s202, determining the reason of the network problem of the cell occupied by the user and/or key factors influencing user perception according to the index which does not meet the preset threshold.
In this embodiment, a threshold is set for each network evaluation index information in the preset analysis model, for example, when RSRP of network coverage capability is less than-100 dbm, the network is weak coverage, when a network quality level 64QAM scheduling proportion is less than 50%, the network quality is poor, when the number of users is greater than 200, the number of users is large, when the wireless network PRB utilization rate is greater than 80%, the network is high-load, when an average per PRB interference level is > -110dbm, the network is high-interference, the input network evaluation index information is compared with the corresponding preset threshold through the preset analysis model, and an index which does not meet the preset threshold is determined, so that a cause of a network problem in a user occupied cell and/or a key factor which affects user perception are determined.
As an example, the network evaluation index information is input as follows: the RSRP = -90dbm, the 64QAM scheduling proportion is 67%, the number of users is 447, the PRB utilization rate is 99.3%, the average interference level per PRB is-116 dbm, each network evaluation index information is compared with the corresponding preset threshold value through the preset analysis model, it is determined that the network coverage is normal, the network quality is normal, the number of users is large, the network is highly loaded, and no high interference exists, so that the network problem of low internet speed caused by the fact that the number of users and the PRB utilization rate do not meet the preset threshold value is determined, namely the network problem of low internet speed of a cell occupied by users is caused by the fact that the network load level is too large, and the network problem is a key factor influencing user perception.
According to the network problem analysis method of the high-speed rail network, a complaint request of a user for the high-speed rail network at a high-speed rail station is received, wherein the complaint request comprises a user number and network problem occurrence time; acquiring information of a cell occupied by a user in the high-speed rail network from a related system according to the user number and the network problem occurrence time; acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the occurrence time of the network problem; and inputting the network evaluation index information into a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back the user complaint request according to the analysis result. According to the method and the device, when the user complains about the high-speed rail network, the user number and the network problem occurrence time only need to be acquired, the network problem analysis result can be obtained through the preset analysis model, the operation of network problem analysis is simplified, the analysis efficiency is improved, the timeliness of complaint handling is improved, and the user satisfaction is improved.
Fig. 4 is a structural diagram of a network problem analysis apparatus of a high-speed rail network according to an embodiment of the present invention. The network problem analysis apparatus for a high-speed rail network according to this embodiment may execute the processing procedure provided in the embodiment of the network problem analysis method for a high-speed rail network, and as shown in fig. 4, the network problem analysis apparatus 300 for a high-speed rail network includes a receiving module 301, an obtaining module 302, and an analyzing module 303.
The receiving module 301 is configured to receive a complaint request of a user for a high-speed rail network at a high-speed rail station, where the complaint request includes a user number and network problem occurrence time;
an obtaining module 302, configured to obtain, from a related system, information of a cell occupied by a user in the high-speed rail network according to the user number and the network problem occurrence time; acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the occurrence time of the network problem;
and the analysis module 303 is configured to input the network evaluation index information into a preset analysis model, analyze the problem of the network in the cell occupied by the user, and output an analysis result, so as to feed back the user complaint request according to the analysis result.
On the basis of the foregoing embodiment, when the analysis module 303 inputs the network evaluation index information into a preset analysis model and analyzes the problem that the user occupies the cell network, the analysis module is configured to:
inputting the network evaluation index information into a preset analysis model, and determining indexes which do not meet a preset threshold value in the network evaluation index information according to the network evaluation index information and the preset threshold value;
and determining the reason of the network problem of the cell occupied by the user and/or key factors influencing the perception of the user according to the index which does not meet the preset threshold.
On the basis of the foregoing embodiment, before the obtaining module 302 obtains the network evaluation index information of the cell occupied by the user from the database, the obtaining module is further configured to:
and acquiring network evaluation index information of each cell of the high-speed rail network in real time and storing the network evaluation index information in the database.
On the basis of the above embodiment, the network evaluation index information includes a network key performance indicator KPI and a key quality indicator KQI that affects user perception.
On the basis of the above embodiment, the network evaluation index information includes at least one index of network coverage capability, network quality level, number of users, wireless network PRB utilization rate, and average per-PRB interference level.
The network problem analysis apparatus for a high-speed rail network according to the embodiment of the present invention may be specifically configured to execute the method embodiments provided in fig. 2 to 3, and specific functions are not described herein again.
The network problem analysis device of the high-speed rail network receives a complaint request of a user on the high-speed rail network at a high-speed rail station, wherein the complaint request comprises a user number and network problem occurrence time; acquiring information of a cell occupied by a user in the high-speed rail network from a related system according to the user number and the network problem occurrence time; acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the occurrence time of the network problem; and inputting the network evaluation index information into a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back the user complaint request according to the analysis result. According to the method and the device, when the user complains about the high-speed rail network, the user number and the network problem occurrence time only need to be acquired, the network problem analysis result can be obtained through the preset analysis model, the operation of network problem analysis is simplified, the analysis efficiency is improved, the timeliness of complaint handling is improved, and the user satisfaction is improved.
Fig. 5 is a schematic structural diagram of a network problem analysis device of a high-speed rail network according to an embodiment of the present invention. The network problem analysis device of the high-speed rail network provided by the embodiment of the present invention may execute the processing procedure provided by the network problem analysis method of the high-speed rail network, as shown in fig. 5, the network problem analysis device 40 of the high-speed rail network includes a memory 41, a processor 42, a computer program, and a communication interface 43; wherein a computer program is stored in the memory 41 and configured to be executed by the processor 42 for the network problem analysis method of the high-speed rail network as described in the above embodiments.
The network problem analysis device of the high-speed rail network in the embodiment shown in fig. 5 may be used to implement the technical solution of the above method embodiment, and the implementation principle and the technical effect are similar, and are not described herein again.
In addition, the present embodiment also provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the network problem analysis method for the high-speed rail network according to the foregoing embodiment.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A network problem analysis method of a high-speed rail network is characterized by comprising the following steps:
receiving a complaint request of a user for a high-speed rail network at a high-speed rail station, wherein the complaint request comprises a user number and network problem occurrence time;
acquiring information that the user number occupies a cell in the high-speed rail network at the network problem occurrence time from a related system in an internet mode according to the user number and the network problem occurrence time;
acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the occurrence time of the network problem;
inputting the network evaluation index information into a preset analysis model, analyzing the network problem of the user occupied cell, and outputting an analysis result so as to feed back the user complaint request according to the analysis result;
the inputting the network evaluation index information into a preset analysis model to analyze the problem that the user occupies the cell network comprises the following steps:
inputting the network evaluation index information into a preset analysis model, and determining indexes which do not meet a preset threshold value in the network evaluation index information according to the network evaluation index information and the preset threshold value;
and determining the reason of the network problem of the cell occupied by the user and/or key factors influencing the perception of the user according to the index which does not meet the preset threshold.
2. The method according to claim 1, before the obtaining the network evaluation index information of the cell occupied by the user from the database, further comprising:
and acquiring network evaluation index information of each cell of the high-speed rail network in real time and storing the network evaluation index information in the database.
3. The method according to claim 1 or 2, wherein the network evaluation indicator information comprises a network key performance indicator, KPI, and a key quality indicator, KQI, affecting the perception of the user.
4. The method according to claim 3, wherein the network evaluation index information includes at least one index of network coverage capability, network quality level, number of users, wireless network PRB utilization, and average interference level per PRB.
5. A network problem analysis device for a high-speed rail network, comprising:
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving a complaint request of a user on a high-speed rail network at a high-speed rail station, and the complaint request comprises a user number and network problem occurrence time;
the acquisition module is used for acquiring information that the user number occupies a cell in the high-speed rail network at the network problem occurrence time from a related system in an internet mode according to the user number and the network problem occurrence time; acquiring network evaluation index information of the cell occupied by the user from a database according to the information of the cell occupied by the user and the occurrence time of the network problem;
the analysis module is used for inputting the network evaluation index information into a preset analysis model, analyzing the problem of the network of the cell occupied by the user and outputting an analysis result so as to feed back the complaint request of the user according to the analysis result;
the analysis module is used for inputting the network evaluation index information into a preset analysis model and analyzing the problem that the user occupies the cell network, and is used for:
inputting the network evaluation index information into a preset analysis model, and determining indexes which do not meet a preset threshold value in the network evaluation index information according to the network evaluation index information and the preset threshold value;
and determining the reason of the network problem of the cell occupied by the user and/or key factors influencing the perception of the user according to the index which does not meet the preset threshold.
6. The apparatus of claim 5, wherein before the obtaining module obtains the network evaluation index information of the cell occupied by the user from the database, the obtaining module is further configured to:
and acquiring network evaluation index information of each cell of the high-speed rail network in real time and storing the network evaluation index information in the database.
7. The apparatus according to claim 5 or 6, wherein the network evaluation indicator information comprises a network key performance indicator, KPI, and a key quality indicator, KQI, affecting user perception.
8. The apparatus of claim 7, wherein the network evaluation indicator information comprises at least one indicator of network coverage capability, network quality level, number of users, wireless network PRB utilization, and average interference level per PRB.
9. A network problem analysis device of a high-speed rail network, comprising:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any one of claims 1-4.
10. A computer-readable storage medium, having stored thereon a computer program;
the computer program, when executed by a processor, implementing the method of any one of claims 1-4.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107437124A (en) * | 2017-07-20 | 2017-12-05 | 大连大学 | A kind of operator based on big data analysis complains and trouble correlation analytic method |
| CN108389056A (en) * | 2018-01-30 | 2018-08-10 | 阿里巴巴集团控股有限公司 | A kind of determining method and device for complaining reason |
| CN109242257A (en) * | 2018-08-09 | 2019-01-18 | 广州瀚信通信科技股份有限公司 | A kind of 4G Internet user complaint model based on key index association analysis |
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| US10165457B2 (en) * | 2015-08-07 | 2018-12-25 | Telefonaktiebolaget Lm Ericsson (Publ) | System and method for root cause analysis of call failures in a communication network |
| US10164850B2 (en) * | 2015-09-10 | 2018-12-25 | Tupl, Inc | Wireless communication data analysis and reporting |
| US10306490B2 (en) * | 2016-01-20 | 2019-05-28 | Netscout Systems Texas, Llc | Multi KPI correlation in wireless protocols |
| CN108243039B (en) * | 2016-12-26 | 2021-03-09 | 北京亿阳信通科技有限公司 | Traffic trunk network comprehensive analysis method and device |
| CN109996284A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团贵州有限公司 | Mobile communication Trouble call worksheet method, apparatus, equipment and medium |
| CN109213832A (en) * | 2018-09-07 | 2019-01-15 | 湖南华诺科技有限公司 | A kind of method that four-dimension five-step approach reduces customer complaint |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107437124A (en) * | 2017-07-20 | 2017-12-05 | 大连大学 | A kind of operator based on big data analysis complains and trouble correlation analytic method |
| CN108389056A (en) * | 2018-01-30 | 2018-08-10 | 阿里巴巴集团控股有限公司 | A kind of determining method and device for complaining reason |
| CN109242257A (en) * | 2018-08-09 | 2019-01-18 | 广州瀚信通信科技股份有限公司 | A kind of 4G Internet user complaint model based on key index association analysis |
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