CN113179533B - Network problem positioning method, device, equipment, storage medium and program product - Google Patents

Network problem positioning method, device, equipment, storage medium and program product Download PDF

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CN113179533B
CN113179533B CN202110504207.2A CN202110504207A CN113179533B CN 113179533 B CN113179533 B CN 113179533B CN 202110504207 A CN202110504207 A CN 202110504207A CN 113179533 B CN113179533 B CN 113179533B
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network problem
target
network
information
target terminal
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CN113179533A (en
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张永杰
陈刚
欧明
黄智勇
林秋爽
何春霞
蔡明兴
陈孟香
李铁军
叶晶
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/04Arrangements for maintaining operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0631Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0677Localisation of faults
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The application provides a network problem positioning method, a device, equipment, a storage medium and a program product. The method comprises the following steps: receiving complaint information from a target terminal aiming at a network problem of a target cell; acquiring network problem description information related to a network problem of a target terminal; positioning the network problem corresponding to the complaint information according to the network problem description information and the mapping relation; the mapping relation is used for representing the probability of each target problem under the network problem description information, the mapping relation is obtained based on the network problem description information corresponding to the historical complaint information and the historical network problems, and the network problems are any one of the target problems; and outputting the network problems corresponding to the complaint information. The method and the device improve the efficiency and accuracy of the problem location of the mobile network.

Description

Network problem positioning method, device, equipment, storage medium and program product
Technical Field
The present application relates to communications technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program product for locating a network problem.
Background
With the rapid development of mobile communication technology, it is more and more common for people to use mobile networks in daily life. When a user uses a mobile network, problems such as an inability to connect to the network, no response to a request, poor call signaling, slow data transfer rate, etc. may occur. If the above problem is encountered, the user may complain to the operator to which the mobile network belongs. After receiving the complaint of the user, the maintenance personnel of the operator can locate and deal with the problem of the mobile network according to the complaint of the user.
At present, the test result of the mobile network of the whole road section of the position of the user is mainly analyzed in a manual mode, and the problem of the mobile network is positioned. However, with the rapid development of networks, the analysis process is also more complex, and experienced maintenance personnel are required to more accurately locate the mobile network. If the experience of the maintenance personnel is insufficient, the accuracy of locating the mobile network problem may be low. Therefore, the above-mentioned method for positioning the mobile network problem manually may result in low efficiency and accuracy of positioning the mobile network problem.
Disclosure of Invention
The application provides a network problem positioning method, a device, equipment, a storage medium and a program product, which aim to improve the efficiency and the accuracy of positioning the mobile network problem.
In a first aspect, the present application provides a method for locating a network problem, where the method includes:
receiving complaint information of a network problem aiming at a target cell from a target terminal;
acquiring network problem description information related to the network problem of the target terminal;
positioning the network problem corresponding to the complaint information according to the network problem description information and the mapping relation; the mapping relation is used for representing the probability of each target problem under the network problem description information, the mapping relation is obtained based on the network problem description information corresponding to historical complaint information and historical network problems, and the network problems are any one of the target problems;
and outputting the network problem corresponding to the complaint information.
Optionally, the network problem description information includes at least one item of sub information, and the positioning the network problem corresponding to the complaint information according to the network problem description information and the mapping relationship includes:
acquiring the sub-probability of the target problem corresponding to each piece of sub-information according to each piece of sub-information and the sub-mapping relation corresponding to the sub-information in the mapping relation; the sub-mapping relation is used for representing the probability of each target problem under the sub-information;
obtaining the probability corresponding to each target problem according to the sub-probability and the preset weight of the target problem corresponding to each piece of sub-information;
and taking the target problem with the highest probability as the network problem corresponding to the complaint information.
Optionally, the obtaining, according to the sub-probability and the preset weight of the target problem corresponding to each piece of sub-information, the probability corresponding to each target problem includes:
and calculating a weighted sum of the sub-probability and the preset weight of the same target problem corresponding to each piece of sub-information to obtain the probability corresponding to each target problem.
Optionally, the network problem description information includes: a network problem phenomenon of the target terminal under the target cell, and a distance between the target terminal and the target cell when the network problem phenomenon occurs;
the acquiring of the network problem description information related to the network problem by the target terminal includes:
extracting a network problem phenomenon of the target terminal under the target cell from the complaint information;
extracting the position of the target terminal when the network problem phenomenon occurs from the complaint information;
and acquiring the distance between the target terminal and the target cell when the network problem phenomenon occurs according to the position of the target terminal when the network problem phenomenon occurs.
Optionally, the obtaining, according to the position where the network problem phenomenon occurs at the target terminal, the distance between the target terminal and the target cell when the network problem phenomenon occurs at the target terminal includes:
and acquiring the distance between the target terminal and the target cell when the network problem occurs according to the position of the target terminal when the network problem occurs and the position of the target terminal when the network problem occurs, which is acquired from a dotting platform.
Optionally, before the extracting the location of the target terminal where the network problem phenomenon occurs from the complaint information, the method further includes:
determining that the network problem phenomenon is not the following:
and other terminals except the target terminal in the target cell have no network problem.
Optionally, the network problem description information further includes: whether the target cell is a resident cell of the target terminal or not;
the obtaining of the network problem description information related to the network problem of the target terminal includes:
determining the residence time of the target terminal in the target cell based on the signaling data between the target terminal and the network equipment to which the target cell belongs;
determining whether the target cell is a resident cell of the target terminal according to the residence time of the target terminal in the target cell; the resident cell is a cell in which the target terminal residence time is greater than or equal to a preset time.
Optionally, the network problem description information further includes: network problems currently existing in the target cell.
Optionally, after the network problem phenomenon existing in the target cell of the target terminal is extracted from the complaint information, the method further includes:
and if the network problem phenomenon is determined to be that other terminals except the target terminal have no network problem in the target cell, outputting indication information that the target cell has no network problem.
In a second aspect, the present application provides a network problem location apparatus, the apparatus comprising:
the receiving module is used for receiving complaint information of a network problem of a target cell from a target terminal;
the acquisition module is used for acquiring network problem description information related to the network problem of the target terminal;
the processing module is used for positioning the network problem corresponding to the complaint information according to the network problem description information and the mapping relation; the mapping relation is used for representing the probability of each target problem under the network problem description information, the mapping relation is obtained based on the network problem description information corresponding to the historical complaint information and the historical network problems, and the network problems are any one of the target problems;
and the output module is used for outputting the network problem corresponding to the complaint information.
In a third aspect, the present application provides an electronic device, comprising: at least one processor, a memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the electronic device to perform the method of any of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement the method of any one of the first aspects.
In a fifth aspect, the present application provides a computer program product comprising a computer program that, when executed by a processor, implements the method of any of the first aspects.
According to the network problem positioning method, device, equipment, storage medium and program product, after receiving the complaint information of the network problem, the electronic equipment positions the network problem corresponding to the complaint information through the network problem description information related to the network problem by the target terminal and the mapping relation used for representing the probability of each target problem under the network problem description information. The method realizes the automatic positioning network problem, does not need manual drive test, does not need manual analysis of the test result, and improves the efficiency and the accuracy of positioning the network problem. In addition, the mapping relation is obtained based on the network problem description information corresponding to the historical complaint information and the historical network problem, and the accuracy of positioning the network problem corresponding to the complaint information is further improved.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the prior art, the following briefly introduces the drawings needed to be used in the description of the embodiments or the prior art, and obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a block diagram of a mobile communication system;
FIG. 2 is a diagram illustrating an application scenario in which the present application is applicable;
fig. 3 is a schematic flowchart of a network problem locating method provided in the present application;
FIG. 4 is a flowchart illustrating a method for locating a network problem corresponding to complaint information according to network problem description information and a mapping relationship provided by the present application;
fig. 5 is a schematic flowchart of a method for acquiring network problem description information related to a network problem of a target terminal according to the present application;
FIG. 6 is a schematic flow chart of another network problem location method provided in the present application;
fig. 7 is a schematic structural diagram of a network problem locating device provided in the present application;
fig. 8 is a schematic structural diagram of an electronic device provided in the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
To make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application, and it is obvious that the described embodiments are some, but not all embodiments of the present application. 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 application.
Fig. 1 is a schematic diagram of a mobile communication system. As shown in fig. 1, when a user uses a mobile network provided by a mobile communication system, a terminal device needs to connect with a radio access network device in an area covered by a cell (such as the cell shown in fig. 1) under at least one radio access network device.
The radio access network device is an access device in which the terminal device is wirelessly accessed into the mobile communication system, and may be a base station NodeB, an evolved base station eNodeB, a base station in a 5G mobile communication system or a new generation wireless (NR) communication system, a base station in a future mobile communication system, an access node in a WiFi system, and the like. In this application, the radio access network device is simply referred to as a network device, and if no special description is provided, the network device is referred to as a radio access network device in this application.
The Terminal device may also be referred to as a Terminal, a User Equipment (UE), a Mobile Station (MS), a Mobile Terminal (MT), and the like. The terminal device may be a mobile phone (mobile phone), a tablet (pad), a computer with wireless transceiving function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving (self driving), a wireless terminal in remote surgery (remote medical supply), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like.
The wireless access network equipment and the terminal equipment can be deployed on land, including indoors or outdoors, and are handheld or vehicle-mounted; can also be deployed on the water surface; it may also be deployed on airborne airplanes, balloons and satellite vehicles. The application scenarios of the wireless access network equipment and the terminal equipment are not limited.
The radio access network device and the terminal device may communicate with each other through a licensed spectrum (licensed spectrum), may communicate through an unlicensed spectrum (unlicensed spectrum), or may communicate through both the licensed spectrum and the unlicensed spectrum. The radio access network device and the terminal device may communicate with each other via a frequency spectrum of 6 gigahertz (GHz) or less, via a frequency spectrum of 6GHz or more, or via a frequency spectrum of 6GHz or less and a frequency spectrum of 6GHz or more. The spectrum resources used between the radio access network device and the terminal device are not limited in the present application.
It should be understood that fig. 1 is only a schematic diagram, and other devices, such as a core network device, may also be included in the mobile communication system. It should be understood that, in general, a plurality of cells may be hung under one network device, and coverage areas of the plurality of cells under one network device do not overlap with each other. Fig. 1 is merely an exemplary illustration of one of the cells of the network device.
If a network device has a problem, such as a failure problem, a coverage area problem, or a cell capacity problem, a terminal device in a coverage area of the network device may fail to connect with the network device, request no response, poor communication signal, and slow data transmission rate. If this occurs, the user may complain to the operator to which the mobile network belongs. After receiving the complaint of the user, the maintenance personnel of the operator needs to locate the problem of the mobile network and process the problem of the mobile network according to the complaint of the user.
At present, mobile network problems are mainly positioned in a manual mode. The maintenance personnel of the operator first needs to test the mobile network of the whole road section where the user is located (i.e. drive test) to obtain the test result. The test results are then analyzed to locate problems with the mobile network. However, with the rapid development of networks, the analysis process is more complicated, and an experienced maintenance person is required to accurately locate the mobile network. If the experience of the maintenance personnel is insufficient, the accuracy of locating the mobile network problem may be low.
Therefore, the above-mentioned method for positioning the mobile network problem manually may result in low efficiency and accuracy of positioning the mobile network problem.
In view of the above problems of the existing network problem positioning method, the present application provides an automated network problem positioning method. According to the network problem positioning method, after complaint information is received, the road test is not needed manually, the test result is not needed to be analyzed manually, and the network problem can be positioned automatically. By the method, the efficiency of network problem positioning is improved, and the accuracy of network problem positioning is improved. In a specific implementation, the method may be performed by an electronic device, which may be, for example, a server, a terminal, or other devices with processing functions. Illustratively, the electronic device may be, for example, a device in a platform capable of receiving complaint information of the user terminal (i.e., a complaint platform). Alternatively, the electronic device may be a device capable of being communicatively connected to the complaint platform, for example.
Taking the above-mentioned electronic device as an example of a device capable of performing communication connection with a complaint platform, fig. 2 is a schematic diagram for describing an application scenario to which the present application is applied. As shown in fig. 2, the user can send the complaint information to the complaint platform through the terminal device. The electronic equipment can position the network problem corresponding to the complaint information according to the complaint information of the user received by the complaint platform, and feed back the positioned network problem to the user through the complaint platform.
The complaint platform may be, for example, a customer service platform (manual customer service, electronic customer service) provided by an operator, or a platform that receives complaint information of a user in other forms (for example, the platform may provide a complaint information option for the user to select, or receive complaint information described in text by the user, etc.).
For convenience of description, the following takes the above electronic device as an example of a device in a complaint platform, and details of the technical solution of the application are described with reference to specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 3 is a schematic flow chart of a network problem positioning method provided in the present application. As shown in fig. 3, the method comprises the steps of:
s101, complaint information of a network problem aiming at a target cell from a target terminal is received.
The target cell refers to a cell where the target terminal resides. The target terminal refers to a user terminal which has the phenomena of incapability of connecting to a network, no response to a request, poor call signal, slow data transmission rate and the like in the target cell. Optionally, the complaint information about the network problem may be a textual complaint information, or a customer service telephone recording between the user and the operator.
For example, taking an electronic device as a device in a complaint platform as an example, the electronic device may obtain the complaint information described in the above text through an Application Program Interface (API) or a Graphical User Interface (GUI). Taking an electronic device as an example of a device capable of performing communication connection with the complaint platform, the electronic device may receive complaint information received by the complaint platform through a wireless network, for example.
S102, network problem description information related to the network problem of the target terminal is obtained.
The network problem description information can directly or indirectly represent the network problem of the target terminal and/or the environment of the target terminal when the network problem exists. Illustratively, the network problem description information related to the network problem may include at least one of a network problem phenomenon existing in the target cell, a distance between the target terminal and the target cell when the network problem phenomenon occurs in the target terminal, whether the target cell is a resident cell of the target terminal, and whether the target cell has a network problem currently.
After receiving the complaint information of the network problem, the electronic device may select a corresponding manner to obtain the complaint information based on the specific description information of the network problem to be obtained.
For example, taking a network problem phenomenon existing in the target cell of the target terminal as an example, the electronic device may obtain the description information of the network problem according to the received complaint information of the network problem. For example, taking the complaint information as the call record of the user and the customer service staff as an example, the electronic device may perform semantic analysis on the call record of the user and the customer service staff to obtain a network problem phenomenon existing in the target cell by the target terminal.
For another example, taking whether the target cell is a resident cell of the target terminal as an example, the electronic device may further obtain whether the target cell is a resident cell of the target terminal from signaling data generated by information transceiving performed by connecting the target terminal and the radio access network device.
It should be understood that the present application does not limit how the electronic device obtains the network problem description information related to the network problem of the target terminal. The above-described method is only a possible implementation proposed in the present application. In specific implementation, the electronic device may further obtain the network problem description information in other manners. For example, the electronic device may also directly receive network problem description information of the target terminal related to the network problem.
S103, positioning the network problem corresponding to the complaint information according to the network problem description information and the mapping relation.
The mapping relation is used for representing the probability of each target problem under the network problem description information. The mapping relation is obtained by the network problem description information and the historical network problems corresponding to the historical complaint information, so that the mapping relation can truly and accurately reflect the association relation between the network problems and the description information. Therefore, based on the mapping relation, the network problem corresponding to the complaint information can be accurately positioned. The network problem description information and the historical network problem corresponding to the historical complaint information may both originate from the target cell, or may include the target cell and other cells.
The above network problem is any of the target problems. Illustratively, the above target issues may include, for example, network equipment failure issues, coverage area issues, and cell capacity issues, among others. In a specific implementation, the target problem may be obtained according to a network problem corresponding to the historical complaint information of the target cell, for example. Alternatively, the target problem can be obtained according to the network problem corresponding to the historical complaint information of each cell. Still alternatively, the target problem may also be set based on the experience of the maintenance personnel.
Optionally, the mapping relationship may be, for example, a correspondence between network problem description information and probabilities of target problems. Illustratively, the mapping relationship may be, for example, as shown in table 1:
TABLE 1
Figure BDA0003057676330000091
In this implementation, after the electronic device obtains the network problem description information, the electronic device may obtain the probability of each target problem occurring under the network problem description information according to the network problem description information and the mapping relationship. And then, the target problem with the highest probability is used as the network problem corresponding to the complaint information. For example, if the electronic device determines that the network problem description information is network problem description information 1, the probability from the target problem 1 to the target problem i may be obtained according to the mapping relationship shown in table 1. If the probability of the target problem i is the maximum, the electronic device may determine that the network problem corresponding to the complaint information is the target problem i. Wherein i is a positive integer greater than 1.
Or, the network problem description information may further include at least one piece of sub information, and the mapping relationship may include a sub mapping relationship corresponding to each piece of sub information. And the sub-mapping relation is used for representing the probability of each target problem under the sub-information. For example, the mapping relationship may be as shown in table 2:
TABLE 2
Figure BDA0003057676330000092
/>
Figure BDA0003057676330000101
In this implementation manner, for example, after the electronic device obtains the network problem description information, the electronic device may obtain the sub-probability of the target problem corresponding to each piece of sub-information according to the sub-information corresponding to the network problem description information and the sub-mapping relationship corresponding to the sub-information. Then, for example, the probability corresponding to each target problem can be obtained according to the weighted sum of the sub-probabilities, and then the network problem corresponding to the complaint information is located.
Alternatively, the mapping relationship may be embodied in a neural network form, or may also be embodied in a form similar to the table shown above. The mapping relationship may be obtained by the electronic device based on the network problem description information and the historical network problem corresponding to the historical complaint information, or may be provided to the electronic device by other devices or users after obtaining the network problem description information and the historical network problem corresponding to the historical complaint information.
And S104, outputting the network problem corresponding to the complaint information.
After the electronic device obtains the network problem corresponding to the complaint information, the electronic device may output the network problem corresponding to the located complaint information. Optionally, the electronic device may send the network problem corresponding to the complaint information to the target terminal, so as to feed back the complaint information to the user. And/or the electronic equipment can also display the network problem corresponding to the complaint information for the maintenance personnel of the operator to view.
In this embodiment, after receiving the complaint information of the network problem, the electronic device locates the network problem corresponding to the complaint information by using the network problem description information related to the network problem of the target terminal and the mapping relationship for representing the probability of each target problem occurring under the network problem description information. The method realizes the automatic positioning network problem, does not need manual drive test, does not need manual analysis of the test result, and improves the efficiency and the accuracy of positioning the network problem. In addition, the mapping relation is obtained based on the network problem description information corresponding to the historical complaint information and the historical network problem, and the accuracy of positioning the network problem corresponding to the complaint information is further improved.
Taking the example that the above-mentioned network problem description information includes at least one item of sub-information, how to locate the network problem corresponding to the complaint information by the electronic device according to the network problem description information and the mapping relationship will be described below. Fig. 4 is a flowchart illustrating a method for locating a network problem corresponding to complaint information according to network problem description information and a mapping relationship provided by the present application. As shown in fig. 4, as a possible implementation manner, the step S103 may include the following steps:
s201, acquiring the sub-probability of the target problem corresponding to each piece of sub-information according to each piece of sub-information and the sub-mapping relation corresponding to the sub-information in the mapping relation.
And the sub-mapping relation is used for representing the probability of each target problem under the sub-information.
For example, taking the example that the network problem description information includes a network problem phenomenon existing in the target cell by the target terminal, and a distance between the target terminal and the target cell when the network problem phenomenon occurs, the sub information corresponding to the two items of network problem description information and the sub mapping relationship corresponding to the sub information may be, for example, as shown in table 3:
TABLE 3
Figure BDA0003057676330000111
Figure BDA0003057676330000121
S202, obtaining the probability corresponding to each target problem according to the sub-probability and the preset weight of the target problem corresponding to each sub-information.
It should be understood that the preset weights of the target questions corresponding to the sub-information may be the same or different. Optionally, the preset weight may be obtained based on network problem description information and historical network problems corresponding to the historical complaint information, and stored in the electronic device in advance. Or, the preset weight may also be determined according to user requirements and stored in the electronic device in advance.
Optionally, the electronic device may calculate a weighted sum by using the sub-probabilities and the preset weights of the same target problem corresponding to each piece of sub-information, for example, to obtain the probability corresponding to each target problem. For example, the electronic device may obtain the probability corresponding to each target problem through the following formula (1).
K N =α 1 ×β 12 ×β 2 +…+α n ×β n (1)
Wherein, K N Indicating the probability that any one of the target questions corresponds to. Alpha is alpha n And the preset weight of the target problem corresponding to the nth sub information is represented. Beta is a n And the sub probability of the target problem corresponding to the nth sub information is shown. n is a positive integer.
For example, assuming that the target problem is a failure problem, a capacity problem, and an coverage problem, the network problem description information includes a network problem phenomenon existing in the target cell by the target terminal, and a distance from the target cell when the network problem phenomenon occurs in the target terminal is still taken as an example for illustration. The network problem phenomenon of the target terminal under the target cell is assumed to be 'the network speed of the target terminal is slow'; and when the network problem phenomenon occurs in the target terminal, the distance between the target terminal and the target cell is 300 meters.
Taking the mapping relationship shown in table 3 as an example, assuming that the network problem phenomenon of the target terminal in the target cell is a preset weight that the network speed of the target terminal is slow is 1, and the preset weight that the distance between the target terminal and the target cell when the network problem phenomenon occurs is 300 meters is 0.5, the probability of each target problem can be obtained by the following formula (1):
K problem of failure =1×0.2+0.5×0.5 (2)
K Problem of capacity =1×1+0.5×0.5 (3)
K Problem of coverage =1×0.2+0.5×0.5 (4)
K can be obtained by the above formula (2) to formula (4) Problem of failure =0.45,K Problem of capacity =1.25,K Problem of coverage =0.45。
And S203, taking the target problem with the highest probability as the network problem corresponding to the complaint information.
After obtaining the probabilities corresponding to the target problems, the electronic device may use the target problem with the highest probability as the network problem corresponding to the complaint information, that is, the electronic device may obtain the network problem corresponding to the complaint information through the following formula (5).
Q=Max(K 1 ,K 2 ,...,K N ) (5)
Wherein Q represents a network problem corresponding to the complaint information. Max represents K 1 ,K 2 ,...,K N Of (2) is calculated.
For example, taking the above equations (2), (3) and (4) as examples, wherein the target problem with the highest probability is a capacity problem, the electronic device may locate the network problem corresponding to the complaint information as the capacity problem.
In this embodiment, the network problem corresponding to the complaint information is determined through the sub-information of the at least one item of network problem description information, so that more influence factors on the network problem generated by the target terminal are considered, and the accuracy of positioning the network problem corresponding to the complaint information by the electronic device is improved.
The following includes the aforementioned network problem description information: the network problem phenomenon of the target terminal in the target cell and the distance between the target terminal and the target cell when the network problem phenomenon occurs are taken as examples, and how the electronic device obtains the network problem description information related to the network problem of the target terminal is explained. Fig. 5 is a flowchart illustrating a method for acquiring network problem description information related to a network problem of a target terminal according to the present application. As shown in fig. 5, as a possible implementation manner, the step S102 may include the following steps:
s301, extracting the network problem phenomenon of the target terminal in the target cell and the position of the target terminal when the network problem phenomenon occurs from the complaint information.
Illustratively, the network problem object may include at least one of the following four phenomena: 1. the network speed of the target terminal is slow (or the network on the target terminal is idle during the peak period of network use). 2. The target terminal suddenly fails to connect to the network or cannot make a call. 3. The long-term signal in the target terminal is weak. 4. And other terminals except the target terminal under the target cell have no network problem.
For how to extract the network problem phenomenon of the target terminal in the target cell and the location of the target terminal where the network problem phenomenon occurs from the complaint information by the electronic device, reference may be made to the method shown in step S102, which is not described herein again.
S302, according to the position of the target terminal when the network problem phenomenon occurs, the distance between the target terminal and the target cell when the network problem phenomenon occurs is obtained.
The distance between the target terminal and the target cell when the network problem occurs refers to a distance between the target terminal and an antenna of the radio access network device to which the target cell belongs when the network problem occurs in the target terminal.
Optionally, the electronic device may directly calculate a location where the target terminal has the network problem, and a distance between the target terminal and the target cell when the network problem occurs.
Or, the electronic device may further obtain the target location where the target terminal has the network problem phenomenon through the location where the target terminal has the network problem phenomenon and the location where the target terminal has the network problem phenomenon, which is obtained from the dotting platform. For example, to replace the extracted locations in the complaint information with more accurate locations on the dotting platform. Then, the electronic device can obtain the distance between the target terminal and the target cell when the network problem occurs in the target terminal according to the target position. The position of the accurate target terminal obtained by the dotting platform when the network problem occurs is corrected, the position of the target terminal extracted from the complaint information when the network problem occurs is corrected, the accuracy of the distance between the electronic equipment and the target cell when the target terminal is obtained when the network problem occurs is improved, the accuracy of the electronic equipment for obtaining the network problem description information can be improved, and therefore the accuracy of the electronic equipment for positioning the network problem corresponding to the complaint information is improved.
Further, considering that if the network problem phenomenon is that other terminals except the target terminal in the target cell have no network problem, the complaint information sent by the user may not be caused by the network problem (for example, a terminal used by the user may have a fault, etc.), so that the electronic device may not perform the step of locating the network problem corresponding to the complaint information any more, so as to save the computing resource and improve the efficiency of feeding back the complaint information of the user.
Therefore, on the basis of the embodiment shown in fig. 5, before extracting the network problem phenomenon existing in the target cell of the target terminal from the complaint information, the electronic device may first determine whether the network problem phenomenon is a network problem of other terminals in the target cell except the target terminal.
If it is determined that the network problem phenomenon is not that the other terminals except the target terminal in the target cell have no network problem, the electronic device may perform the step S302.
If it is determined that the network problem phenomenon is that the other terminals except the target terminal have no network problem in the target cell, optionally, the electronic device may output, to the target terminal, indication information that the target cell has no network problem.
Further, on the basis of the embodiment shown in fig. 5, the network problem description information may further include whether the target cell is a resident cell of the target terminal, so as to further improve accuracy of the network problem corresponding to the electronic device location complaint information. In this implementation manner, as a possible implementation manner, the foregoing step 102 may include the following steps:
first, the electronic device may determine a residence time of the target terminal in the target cell based on signaling data between the target terminal and the network device to which the target cell belongs. And then, whether the target cell is a resident cell of the target terminal or not can be determined according to the resident time length of the target terminal in the target cell. And the cell with the target terminal residence time length being greater than or equal to the preset time length is the resident cell of the target terminal. And if the target terminal residence time is less than the preset time, the cell is not the resident cell of the target terminal.
For example, still taking the mapping relationship shown in table 3 as an example, in this implementation, network problem description information of whether the target cell is a resident cell of the target terminal may be added to table 3 to obtain the mapping relationship shown in table 4. Furthermore, the electronic device can locate the network problem corresponding to the complaint information according to the network problem description information and the mapping relationship shown in table 4.
TABLE 4
Figure BDA0003057676330000151
For example, assuming that the target cell is not the resident cell of the target terminal and the preset weight corresponding to the resident cell of the target cell is not the target terminal is 0.5, the probability of each target problem can be obtained based on equations (1) - (4) as follows:
K problem of failure =1×0.2+0.5×0.5+0.5×1 (5)
K Problem of capacity =1×1+0.5×0.5+0.5×0 (6)
K Problem of coverage =1×0.2+0.5×0.5+0.5×0 (7)
K can be obtained by the above-mentioned formula (5) to formula (7) Problem of failure =0.95,K Problem of capacity =1.25,K Problem of coverage =0.45。
And if the target problem with the highest probability is a capacity problem, the electronic device can locate the network problem corresponding to the complaint information as the capacity problem.
Further, on the basis of the embodiment shown in fig. 5, the network problem description information may further include: the network problem of the target cell exists currently, so as to further improve the accuracy of the network problem corresponding to the positioning complaint information of the electronic equipment.
It should be understood that the present application does not limit how the electronic device acquires the network problem of the target cell. For example, the electronic device may first obtain a list of cells for each network problem. And determining whether the target cell exists from the cell list. And the electronic equipment can further determine the network problems existing in the target cell at present according to the cell list of each network problem.
For example, taking the mapping relationship shown in table 4 as an example, in this implementation, network problem description information of a network problem currently existing in the target cell may be added to table 4 to obtain the mapping relationship shown in table 5.
TABLE 5
Figure BDA0003057676330000161
It should be understood that the network problem currently existing in the target cell may be at least one, and table 5 only exemplarily shows a case where the target cell currently has a failure problem or a capacity problem.
Fig. 6 is a schematic flowchart of another network problem location method provided in the present application. The electronic device may locate the network problem corresponding to the complaint information according to the network problem description information and the mapping relationship shown in table 5.
For example, assuming that the network problem existing in the target cell is a failure problem and the preset weight corresponding to the network problem existing in the target cell is 1, the probability of each target problem can be obtained based on formulas (1) - (7) as follows:
K problem of failure =1×0.2+0.5×0.5+0.5×1+1×1 (8)
K Problem of capacity =1×1+0.5×0.5+0.5×0+1×0 (9)
K Problem of coverage =1×0.2+0.5×0.5+0.5×+1×0 (10)
K can be obtained by the above formula (8) -formula (10) Problem of failure =1.95,K Problem of capacity =1.25,K Problem of coverage =0.45。
And if the target problem with the highest probability is a fault problem, the electronic equipment can locate the network problem corresponding to the complaint information as the fault problem.
K shown in FIG. 6 D And expressing the product of the sub-probability of the target problem corresponding to the distance between the target terminal and the target cell when the network problem phenomenon occurs and the preset weight. K is C And expressing the product of the sub-probability of the target problem corresponding to the 'whether the target cell is the resident cell of the target terminal' and the preset weight. K T And expressing the product of the sub-probability of the target problem corresponding to the network problem existing in the target cell and the preset weight. K P And the product of the sub-probability of the target problem corresponding to the network problem phenomenon of the target terminal in the target cell and the preset weight.
In this embodiment, the network problem corresponding to the complaint information is located according to four network problem description information, such as a distance between the target terminal and the target cell when the network problem phenomenon occurs, whether the target cell is a resident cell of the target terminal, a network problem currently existing in the target cell, and a network problem phenomenon existing in the target terminal under the target cell.
Fig. 7 is a schematic structural diagram of a network problem locating device according to the present application. As shown in fig. 7, the apparatus includes: a receiving module 41, an obtaining module 42, a processing module 43, and an output module 44. Wherein, the first and the second end of the pipe are connected with each other,
a receiving module 41, configured to receive complaint information from the target terminal regarding a network problem of the target cell.
An obtaining module 42, configured to obtain network problem description information of the target terminal related to the network problem.
And a processing module 43, configured to locate the network problem corresponding to the complaint information according to the network problem description information and the mapping relationship. The mapping relation is used for representing the probability of occurrence of each target problem under the network problem description information, the mapping relation is obtained based on the network problem description information corresponding to the historical complaint information and the historical network problems, and the network problems are any one of the target problems.
And the output module 44 is configured to output a network problem corresponding to the complaint information.
Optionally, the network problem description information includes at least one piece of sub information. In this implementation manner, the processing module 43 is specifically configured to obtain a sub probability of the target problem corresponding to each piece of sub information according to each piece of sub information and a sub mapping relationship corresponding to the piece of sub information in the mapping relationship; obtaining the probability corresponding to each target problem according to the sub-probability and the preset weight of the target problem corresponding to each piece of sub-information; and taking the target problem with the maximum probability as the network problem corresponding to the complaint information. And the sub-mapping relation is used for representing the probability of each target problem under the sub-information.
Optionally, the processing module 43 is specifically configured to calculate a weighted sum of the sub-probability and a preset weight of the same target problem corresponding to each piece of sub-information, so as to obtain a probability corresponding to each target problem.
Optionally, the network problem description information includes: the network problem phenomenon of the target terminal under the target cell, and the distance between the target terminal and the target cell when the network problem phenomenon occurs. In this implementation, the obtaining module 42 is specifically configured to extract, from the complaint information, a network problem phenomenon that the target terminal has in the target cell; extracting the position of the target terminal when the network problem phenomenon occurs from the complaint information; and acquiring the distance between the target terminal and the target cell when the network problem phenomenon occurs according to the position of the target terminal when the network problem phenomenon occurs.
Optionally, the obtaining module 42 is specifically configured to obtain, according to a position where the network problem phenomenon occurs in the target terminal and a position where the network problem phenomenon occurs in the target terminal obtained from the dotting platform, a distance between the target terminal and the target cell when the network problem phenomenon occurs in the target terminal.
Optionally, the processing module 43 is further configured to determine that the network problem phenomenon is not the following phenomenon: and other terminals except the target terminal in the target cell have no network problem.
Optionally, the network problem description information further includes: whether the target cell is a resident cell of the target terminal. In the case of this implementation mode, the first and second,
the obtaining module 42 is specifically configured to determine a residence time of the target terminal in the target cell based on signaling data between the target terminal and the network device to which the target cell belongs; and determining whether the target cell is a resident cell of the target terminal according to the residence time of the target terminal in the target cell. The resident cell is a cell in which the target terminal residence time is greater than or equal to a preset time.
Optionally, the network problem description information further includes: the target cell has network problems.
Optionally, after the network problem phenomenon existing in the target cell of the target terminal is extracted from the complaint information, the processing module 43 is further configured to: and determining whether the network problem phenomenon is that other terminals except the target terminal have no network problem under the target cell.
If it is determined that the network problem phenomenon is that there is no network problem in other terminals except the target terminal in the target cell, the output module 44 is specifically configured to output indication information that there is no network problem in the target cell.
The network problem positioning device provided by the application is used for executing the embodiment of the network problem positioning method, the implementation principle and the technical effect are similar, and the details are not repeated.
Fig. 8 is a schematic structural diagram of an electronic device provided in the present application. As shown in fig. 8, the electronic device 500 may include: at least one processor 501 and memory 502.
The memory 502 is used for storing programs. In particular, the program may include program code including computer operating instructions.
Memory 502 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 501 is configured to execute computer-executable instructions stored in the memory 502 to implement the network problem location method described in the foregoing method embodiments. The processor 501 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present Application.
Optionally, the electronic device 500 may further include a communication interface 503. In a specific implementation, if the communication interface 503, the memory 502 and the processor 501 are implemented independently, the communication interface 503, the memory 502 and the processor 501 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. Buses may be classified as address buses, data buses, control buses, etc., but do not represent only one bus or type of bus.
Optionally, in a specific implementation, if the communication interface 503, the memory 502, and the processor 501 are integrated into a chip, the communication interface 503, the memory 502, and the processor 501 may complete communication through an internal interface.
The present application also provides a computer-readable storage medium, which may include: 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, and in particular, the computer-readable storage medium stores program instructions, and the program instructions are used in the method in the foregoing embodiments.
The present application also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the electronic device may read the execution instruction from the readable storage medium, and the execution of the execution instruction by the at least one processor causes the electronic device to implement the network problem location method provided by the various embodiments described above.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand 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 application.

Claims (9)

1. A method for locating a network problem, the method comprising:
receiving complaint information of a network problem aiming at a target cell from a target terminal; the complaint information of the network problem comprises network problem description information;
acquiring the target terminal and the network problem description information;
positioning the network problem corresponding to the complaint information according to the network problem description information and the mapping relation; the mapping relation is used for representing the probability of each target problem under the network problem description information, the mapping relation is obtained based on the network problem description information corresponding to the historical complaint information and the historical network problems, and the network problems are any one of the target problems;
outputting a network problem corresponding to the complaint information;
the network problem description information includes at least one item of sub information, and the positioning of the network problem corresponding to the complaint information according to the network problem description information and the mapping relationship includes:
acquiring the sub-probability of the target problem corresponding to each piece of sub-information according to each piece of sub-information and the sub-mapping relation corresponding to the sub-information in the mapping relation; the sub-mapping relation is used for representing the probability of each target problem under the sub-information;
calculating a weighted sum of the sub-probability and a preset weight of the same target problem corresponding to each piece of sub-information to obtain the probability corresponding to each target problem;
taking the target problem with the maximum probability as the network problem corresponding to the complaint information;
the network problem description information includes: a network problem phenomenon of the target terminal under the target cell, and a distance between the target terminal and the target cell when the network problem phenomenon occurs;
the acquiring of the network problem description information related to the network problem by the target terminal includes:
extracting a network problem phenomenon of the target terminal under the target cell from the complaint information;
extracting the position of the target terminal when the network problem phenomenon occurs from the complaint information;
and acquiring the distance between the target terminal and the target cell when the network problem phenomenon occurs according to the position of the target terminal when the network problem phenomenon occurs.
2. The method of claim 1, wherein the obtaining the distance between the target terminal and the target cell when the network problem phenomenon occurs according to the position where the target terminal is located when the network problem phenomenon occurs comprises:
and acquiring the distance between the target terminal and the target cell when the network problem phenomenon occurs according to the position of the target terminal when the network problem phenomenon occurs and the position of the target terminal when the network problem phenomenon occurs, which is acquired from the dotting platform.
3. The method according to claim 1, wherein before extracting the location of the target terminal where the network problem occurs from the complaint information, the method further comprises:
determining that the network problem phenomenon is not the following:
and other terminals except the target terminal in the target cell have no network problem.
4. The method of claim 1, wherein the network problem description information further comprises: whether the target cell is a resident cell of the target terminal or not;
the acquiring of the network problem description information related to the network problem by the target terminal includes:
determining the residence time of the target terminal in the target cell based on the signaling data between the target terminal and the network equipment to which the target cell belongs;
determining whether the target cell is a resident cell of the target terminal according to the residence time of the target terminal in the target cell; the resident cell is a cell in which the target terminal residence time is greater than or equal to a preset time.
5. The method of claim 1, wherein the network problem description information further comprises: network problems currently existing in the target cell.
6. The method of claim 5, wherein after the extracting, from the complaint information, the network problem phenomenon existing in the target cell for the target terminal, the method further comprises:
and if the network problem phenomenon is determined to be that other terminals except the target terminal have no network problem in the target cell, outputting indication information that the target cell has no network problem.
7. A network problem location apparatus, the apparatus comprising:
the receiving module is used for receiving complaint information of the network problem of the target cell from the target terminal;
the acquisition module is used for acquiring network problem description information related to the network problem of the target terminal;
the processing module is used for positioning the network problem corresponding to the complaint information according to the network problem description information and the mapping relation; the mapping relation is used for representing the probability of each target problem under the network problem description information, the mapping relation is obtained based on the network problem description information corresponding to historical complaint information and historical network problems, and the network problems are any one of the target problems;
the output module is used for outputting the network problems corresponding to the complaint information;
the network problem description information comprises at least one item of sub information;
the processing module is specifically configured to obtain a sub-probability of a target problem corresponding to each piece of sub-information according to each piece of sub-information and a sub-mapping relationship corresponding to the piece of sub-information in the mapping relationship; the sub-mapping relation is used for representing the probability of each target problem under the sub-information; calculating a weighted sum of the sub-probability and a preset weight of the same target problem corresponding to each piece of sub-information to obtain the probability corresponding to each target problem; taking the target problem with the maximum probability as the network problem corresponding to the complaint information;
the network problem description information includes: a network problem phenomenon of the target terminal under the target cell, and a distance between the target terminal and the target cell when the network problem phenomenon occurs;
the obtaining module is specifically configured to extract, from the complaint information, a network problem phenomenon that the target terminal has in the target cell; extracting the position of the target terminal when the network problem phenomenon occurs from the complaint information; and acquiring the distance between the target terminal and the target cell when the network problem phenomenon occurs according to the position of the target terminal when the network problem phenomenon occurs.
8. An electronic device, comprising: at least one processor, a memory;
the memory stores computer execution instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the electronic device to perform the method of any of claims 1-6.
9. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1-6.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110267288A (en) * 2019-05-22 2019-09-20 中国联合网络通信集团有限公司 Mobile network complains localization method and device
WO2021035578A1 (en) * 2019-08-28 2021-03-04 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for question recommendation

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* Cited by examiner, † Cited by third party
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CN110337118B (en) * 2019-04-24 2022-08-26 中国联合网络通信集团有限公司 Method and device for quickly processing user complaints

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110267288A (en) * 2019-05-22 2019-09-20 中国联合网络通信集团有限公司 Mobile network complains localization method and device
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