CN113301597B - Network analysis method and equipment - Google Patents

Abstract

The present invention provides a network analysis method and device. The method includes: acquiring target network index information corresponding to a to-be-processed area; comprehensively analyzing the target network index information corresponding to the to-be-processed area according to a preset four-quadrant algorithm, Determine the network problem type corresponding to the to-be-processed area; output the network problem type corresponding to the to-be-processed area to the target end, realize automatic and rapid network problem location, do not need to manually perform statistical analysis on target network index information, and reduce network problem location The time required to improve the efficiency of network problem location.

Description

Network analysis method and equipment

technical field

Embodiments of the present invention relate to the field of network technologies, and in particular, to a network analysis method and device.

Background technique

With the development of network technology, the fifth generation mobile communication technology (5th generation mobile networks, 5G) network has developed rapidly, but there are still deficiencies in the development of 5G networks in some areas, for example, the number of 5G users is small, so in order to improve The development of 5G networks in a region often needs to evaluate the 5G network situation in the region, that is, to locate the network problems existing in the 5G network in the region.

In the prior art, in order to locate the network problems in the 5G network in the region, relevant personnel obtain the 5G network data in the region, and perform statistical analysis on the 5G network data to locate the network problems in the 5G network in the region.

However, due to the need for manual statistical analysis of 5G network data, it takes a long time to locate network problems and the efficiency of network problem location is low.

Contents of the invention

Embodiments of the present invention provide a network analysis method and device to solve the technical problem of low network problem location efficiency in the prior art.

In a first aspect, an embodiment of the present invention provides a network analysis method, including:

Obtain target network indicator information corresponding to the region to be processed;

According to the preset four-quadrant algorithm, comprehensively analyze the target network index information corresponding to the area to be processed, and determine the network problem type corresponding to the area to be processed;

Outputting the network problem type corresponding to the area to be processed to the target end.

In a possible design, the target network index information includes target network login rate and target traffic ratio;

According to the preset four-quadrant algorithm, comprehensively analyzing the target network index information corresponding to the area to be processed, and determining the network problem type corresponding to the area to be processed, including:

According to the target network login rate corresponding to the area to be processed and the target traffic ratio, the first coordinate point information is obtained;

Determine the quadrant of the area to be processed in the first preset coordinate system according to the first coordinate point information, and determine it as the first target quadrant;

Obtain the problem type corresponding to the first target quadrant, and determine it as the network problem type corresponding to the region to be processed.

In a possible design, the target network index information includes a target network login rate and a target network resident rate;

According to the preset four-quadrant algorithm, comprehensively analyzing the target network index information corresponding to the area to be processed, and determining the network problem type corresponding to the area to be processed, including:

Obtaining second coordinate point information according to the target network login rate and the target network resident rate corresponding to the area to be processed;

According to the second coordinate point information, determine the quadrant where the area to be processed is located in the second preset coordinate system, and determine it as the second target quadrant;

Obtain the problem type corresponding to the second target quadrant, and determine it as the network problem type corresponding to the region to be processed.

In a possible design, the problem types include one or more of the following: the number of users corresponding to the target network is small, the usage rate of the target network is low, the number of users corresponding to the target network is large, and the usage rate of the target network high.

In a possible design, the method also includes:

According to the network problem type corresponding to the area to be processed, determine the network suggestion information corresponding to the area to be processed;

outputting network suggestion information corresponding to the region to be processed to the target end.

In a possible design, the determining the network suggestion information corresponding to the area to be processed according to the network problem type corresponding to the area to be processed includes:

If the type of network problem corresponding to the area to be processed includes that the number of users corresponding to the target network is small, the preset guidance information for users to migrate to the target network is used as the network suggestion information corresponding to the area to be processed.

In a second aspect, an embodiment of the present invention provides a network analysis device, including:

An information acquisition module, configured to acquire target network indicator information corresponding to the region to be processed;

The processing module is used to comprehensively analyze the target network index information corresponding to the area to be processed according to the preset four-quadrant algorithm, and determine the network problem type corresponding to the area to be processed;

The processing module is further configured to output the type of network problem corresponding to the area to be processed to the target end.

In a possible design, the target network index information includes target network login rate and target traffic ratio;

The processing module is also used to:

According to the target network login rate corresponding to the area to be processed and the target traffic ratio, the first coordinate point information is obtained;

Determine the quadrant of the area to be processed in the first preset coordinate system according to the first coordinate point information, and determine it as the first target quadrant;

Obtain the problem type corresponding to the first target quadrant, and determine it as the network problem type corresponding to the region to be processed.

In a possible design, the target network index information includes a target network login rate and a target network resident rate;

The processing module is also used to:

Obtaining second coordinate point information according to the target network login rate and the target network resident rate corresponding to the area to be processed;

According to the second coordinate point information, determine the quadrant where the area to be processed is located in the second preset coordinate system, and determine it as the second target quadrant;

Obtain the problem type corresponding to the second target quadrant, and determine it as the network problem type corresponding to the region to be processed.

In a possible design, the problem types include one or more of the following: the number of users corresponding to the target network is small, the usage rate of the target network is low, the number of users corresponding to the target network is large, and the usage rate of the target network high.

In a possible design, the processing module is also used for:

According to the network problem type corresponding to the area to be processed, determine the network suggestion information corresponding to the area to be processed;

outputting network suggestion information corresponding to the region to be processed to the target end.

In a possible design, the processing module is also used for:

If the type of network problem corresponding to the area to be processed includes that the number of users corresponding to the target network is small, the preset guidance information for users to migrate to the target network is used as the network suggestion information corresponding to the area to be processed.

In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor and a memory;

the memory stores computer-executable instructions;

The at least one processor executes the computer-executed instructions stored in the memory, so that the at least one processor executes the network analysis method described in the above first aspect and various possible designs of the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the processor executes the computer-executable instructions, the above first aspect and the first Aspects of various possible designs for the described network analysis method.

In a fifth aspect, an embodiment of the present invention provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the network analysis method described in the first aspect and various possible designs of the first aspect.

The present invention provides a network analysis method and equipment. After obtaining the target network index information corresponding to the area to be processed, that is, the area where network problems need to be determined, based on the preset four-quadrant algorithm, the target network index information included in the Comprehensive analysis of the index information of the target area to obtain the network problem type corresponding to the area to be processed, that is, to determine the type of problem existing in the target network in the area to be processed, to realize the automatic and rapid positioning of the network problem, without manual statistical analysis of the target network index information , reduce the time required for network problem location, improve the efficiency of network problem location, and comprehensively analyze the index information included in the target network index information, which can improve the accuracy of network problem location. When determining the network problem type corresponding to the area to be processed, the network problem type is output to the target end, so that the user corresponding to the target end can successfully learn the network problem type corresponding to the area to be processed, so that the network problem type can be improved according to the network problem type. The target network situation in the area to be processed.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 is a schematic diagram of a scene of a network analysis method provided by an embodiment of the present invention;

FIG. 2 is a first schematic flow diagram of a network analysis method provided by an embodiment of the present invention;

FIG. 3 is a schematic flow diagram II of a network analysis method provided by an embodiment of the present invention;

FIG. 4 is a schematic diagram of a first preset coordinate system provided by an embodiment of the present invention;

FIG. 5 is a schematic diagram of a second preset coordinate system provided by an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of a network analysis device provided by an embodiment of the present invention;

FIG. 7 is a schematic diagram of a hardware structure of an electronic device provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

At present, in order to locate the network problems existing in the 5G network in the region, relevant personnel obtain a certain 5G network index data in the region, and conduct statistical analysis on the 5G network index data to locate the network problems in the 5G network in the region . However, due to the need for manual statistical analysis of 5G network data, it takes a long time to locate network problems and the efficiency of locating network problems is low. Moreover, a single indicator is used to locate network problems in an area, which leads to limitations in locating network problems, resulting in inaccurate positioning. Network issues are less accurate.

Therefore, in view of the above problems, the technical concept of the present invention is based on the four-quadrant algorithm, and performs correlation analysis on two indicators among the multiple network indicators corresponding to the area to be processed, so as to map the area to be processed to the corresponding quadrant in the coordinate system, And the network problem corresponding to this quadrant is used as the network problem existing in the area to be processed, so as to automatically and quickly locate the network problem existing in the area to be processed, reduce the time required for network problem location, and improve the efficiency of network problem location. At the same time, when locating network problems in areas to be dealt with, the accuracy of locating network problems can be improved by analyzing the relationship between the two indicators instead of only using a single indicator for analysis.

The technical solution of the present disclosure and how the technical solution of the present disclosure solves the above technical problems will be described in detail below with specific examples. The following specific examples may be combined with each other, and the same or similar concepts or processes may not be repeated in some examples. Examples of the present disclosure will be described below with reference to the accompanying drawings.

Figure 1 is a schematic diagram of the scene of the network analysis method provided by the embodiment of the present invention. As shown in Figure 1, the electronic device 101 needs to determine the network situation of a certain area, and obtains the target network index information corresponding to the area, so as to use the target The network index information locates the network problem existing in the target network in the region, and sends the network problem to the target terminal 102, so that the relevant personnel corresponding to the target terminal 102 can know the network problem existing in the region, so that the network problem can be based on the network problem. Network problems, formulate corresponding solution strategies to improve the development of the target network.

Optionally, the electronic device 101 may be a computer, a server, and other devices with data processing capabilities.

Optionally, the target network may be set according to actual requirements, for example, a 5G network may be used as the target network. The target terminal 102 may be a terminal such as a computer, a mobile terminal (for example, a mobile phone, a tablet computer, etc.).

FIG. 2 is a first schematic flowchart of a network analysis method provided by an embodiment of the present invention. The execution subject of this embodiment may be the electronic device shown in FIG. 1 . As shown in Figure 2, the method includes:

S201. Obtain target network index information corresponding to an area to be processed.

In this embodiment, when it is necessary to determine the network situation of a certain area, that is, the network problems existing in a certain area, this area is used as the area to be processed, and the relevant target network corresponding to the area to be processed is searched from the preset storage location Information, that is, target network indicator information.

Wherein, the preset storage location may be a location such as a relevant server, a base station, or a database.

Optionally, the target network may be a 5G network, or other types of networks. For example, when the target network is a 5G network, the target network index information is 5G network index information.

Optionally, the target network indicator information includes target network login rate, target traffic ratio and target network resident rate.

Wherein, the target network access rate indicates the number of users using the target network. When determining the target network login rate, the number of users corresponding to the target network terminal is acquired and determined as the first number. Obtain the number of target network terminals whose target network state is logged in, and determine it as the second number, calculate the ratio of the second number to the first number, and obtain the target network login rate.

Specifically, the number of users corresponding to the target network terminal is the number of users using the target network terminal within the first preset time period, and the target network status within the first preset time period is the target network terminal in the logged-in state The number of is the number of terminals that have logged into the target network, that is, the number of users who have used the target network. For example, if the target network is a 5G network, the number of users corresponding to the target network terminal is the number of users using 5G terminals; the number of target network terminals whose target network status is logged in is the number of 5G terminals whose 5G login status is logged in Number of.

Wherein, the target network traffic ratio indicates the amount of traffic that the user uses on the target network. When determining the proportion of target network traffic, obtain the total target network traffic corresponding to the shared base station, and obtain the total network traffic corresponding to the shared base station, and calculate the ratio of the total target network traffic corresponding to the shared base station to the total network traffic corresponding to the shared base station, Obtain the target network traffic ratio.

Specifically, the total target network traffic corresponding to the shared base station indicates the total target network traffic of the shared base station used by the user within the second preset time period, that is, the target network traffic consumed by the shared base station, which includes the total uplink usage corresponding to the target network traffic and downlink usage total traffic. The total traffic of all networks corresponding to the shared base station indicates the total traffic of all networks where the user uses the shared base station within the second time period, that is, the traffic of all network types consumed by the shared base station. For example, if the target network is a 5G network, the total traffic of the target network corresponding to the shared base station is the total traffic corresponding to the 5G network under the shared base station; the total traffic of all networks corresponding to the shared base station is the total traffic corresponding to all networks under the shared base station .

Wherein, the network corresponding to the shared base station includes a target network (for example, a 5G network) and other networks, for example, a 4G (the4Generation mobile communication technology, fourth generation communication technology) network.

Wherein, the target network resident rate indicates the length of time that the user uses the target network. When determining the target network resident rate, obtain the target network usage traffic corresponding to the target network terminal within the third preset time period, and obtain the total network usage traffic corresponding to the target network terminal within the third preset time period, and calculate The ratio of the target network traffic corresponding to the target network terminal to the total network traffic corresponding to the target network terminal is used to obtain the target network resident rate.

Specifically, the total network traffic corresponding to the target network terminal is the target network traffic generated by the target network terminal, and the total network traffic corresponding to the target network terminal is the total network traffic generated by the target network terminal. For example, if the target network is a 5G network, and users can use 4G and 5G networks through target network terminals, then 5G resident rate = 5G network traffic generated by 5G terminals in the current month/total network traffic generated by 5G terminals in the current month (including 4G network traffic and 5G network traffic).

S202. According to the preset four-quadrant algorithm, comprehensively analyze the target network index information corresponding to the area to be processed, and determine the network problem type corresponding to the area to be processed.

In this embodiment, based on the preset four-quadrant algorithm, that is, the four-quadrant rule, the target network index information corresponding to the area to be processed is comprehensively analyzed, that is, two mutually independent target network indicators are comprehensively analyzed, and the area to be processed is divided into Go to a certain quadrant, that is, a region, so as to obtain the network problem type corresponding to the region to be dealt with based on this quadrant.

Optionally, the network problem type is the network situation of the area to be processed, that is, the network problem existing in the area to be processed. The problem type includes one or more of the following: the number of users corresponding to the target network is small, the usage rate of the target network is low, the number of users corresponding to the target network is large, and the usage rate of the target network is high.

S203. Outputting the type of network problem corresponding to the area to be processed to the target end.

In this embodiment, when determining the network problem type corresponding to the area to be processed, when it is indicated that the problem existing in the target network in the area to be processed has been determined, the network problem type is sent to the target end, so that the user corresponding to the target end The network problems existing in the area to be processed can be known, that is, the network situation of the area to be processed, so that the target network can be developed in a targeted manner according to the network situation.

In this embodiment, the network situation of the target network in the area to be processed is evaluated through the four-quadrant algorithm, and the network index data is presented in association with different dimensions, and analyzed according to the quadrant to which the network index data belongs, to determine the network problems existing in the area to be processed Type, that is, network problems, to quickly and accurately locate network problems in the region.

It can be seen from the above description that after obtaining the target network index information corresponding to the area to be processed, that is, the area where network problems need to be determined, based on the preset four-quadrant algorithm, the index information included in the target network index information is comprehensively analyzed, In order to obtain the network problem type corresponding to the area to be processed, that is, to determine the problem type of the target network in the area to be processed, to realize the automatic and rapid positioning of the network problem, without manual statistical analysis of the target network index information, and to reduce the need for network problem location time, improve the efficiency of network problem location, and comprehensively analyze the index information included in the target network index information, which can improve the accuracy of network problem location. When determining the network problem type corresponding to the area to be processed, the network problem type is output to the target end, so that the user corresponding to the target end can successfully learn the network problem type corresponding to the area to be processed, so that the network problem type can be improved according to the network problem type. The target network situation in the area to be processed.

Figure 3 is the second schematic flow diagram of the network analysis method provided by the embodiment of the present invention. On the basis of the embodiment in Figure 2 of this embodiment, after determining the target network situation in the area to be processed, the corresponding strategy can also be output to prompt relevant personnel How to improve the development of the target network in the area to be processed will be described below in conjunction with a specific embodiment. As shown in Figure 3, the method includes:

S301. Obtain target network index information corresponding to the region to be processed.

S302. According to the preset four-quadrant algorithm, comprehensively analyze the target network index information corresponding to the area to be processed, and determine the network problem type corresponding to the area to be processed.

In this embodiment, when the target network index information includes the target network access rate and target traffic proportion, the first coordinate point is obtained according to the target network access rate and target traffic proportion corresponding to the area to be processed information. According to the first coordinate point information, determine the quadrant of the area to be processed in the first preset coordinate system, and determine it as the first target quadrant. Obtain the problem type corresponding to the first target quadrant, and determine it as the network problem type corresponding to the area to be processed.

Specifically, the horizontal axis of the first preset coordinate system is the login rate, and the vertical axis is the proportion. The target network access rate corresponding to the area to be processed is taken as the abscissa of the first coordinate point, and the target traffic ratio corresponding to the area to be processed is taken as the ordinate of the first coordinate point, so as to obtain the information of the first coordinate point, that is, the first The coordinate point information includes the abscissa of the first coordinate point and the ordinate of the first coordinate point. Based on the abscissa of the first coordinate point and the ordinate of the first coordinate point, the first coordinate point is mapped to the first preset coordinate system, and the quadrant where the first coordinate point is located is determined as the quadrant where the area to be processed is located, to get the first target quadrant. Find the problem type corresponding to the first target quadrant, and use it as the network problem type corresponding to the region to be processed.

Taking a specific application scenario as an example, as shown in Figure 4, the target network access rate corresponding to region 1 is 55%, and the target traffic ratio is 45%, so it is determined that the first coordinate point is in the first quadrant, that is, region 1 is in the For the first quadrant, the problem type corresponding to the first quadrant is used as the network problem type corresponding to region 1.

Further, optionally, the problem type corresponding to the first quadrant in the first preset coordinate system includes a large number of users corresponding to the target network and a high usage rate of the target network, and the local area in the first preset coordinate system In the first quadrant, it indicates that the target network login rate is high and the proportion of target traffic is high.

The problem types corresponding to the second quadrant in the first preset coordinate system include a small number of users corresponding to the target network and a high usage rate of the target network. When the area is in the second quadrant of the first preset coordinate system, it indicates that the target The network login rate is low, but the proportion of target traffic is relatively high, and the target network user traffic release is relatively sufficient.

The problem types corresponding to the third quadrant in the first preset coordinate system include the small number of users corresponding to the target network and the low usage rate of the target network. When the area is in the third quadrant of the first preset coordinate system, it indicates that the target The network login rate is low, and the proportion of target traffic is low, the development of target network users is insufficient, and the release of target network user traffic is insufficient.

The problem types corresponding to the fourth quadrant in the first preset coordinate system include the large number of users corresponding to the target network and the low usage rate of the target network. When the region is in the fourth quadrant of the first preset coordinate system, it indicates that the target The network access rate is high, but the proportion of target traffic is low.

In this embodiment, when the target network index information includes the target network access rate and the target network resident rate, according to the target network access rate and target network resident rate corresponding to the area to be processed, the second Coordinate point information. According to the second coordinate point information, determine the quadrant of the area to be processed in the second preset coordinate system, and determine it as the second target quadrant. Obtain the problem type corresponding to the second target quadrant, and determine it as the network problem type corresponding to the region to be processed.

Specifically, the horizontal axis of the second preset coordinate system is the login rate, and the vertical axis is the resident rate. The target network access rate corresponding to the area to be processed is taken as the abscissa of the second coordinate point, and the target network residence rate is taken as the ordinate of the second coordinate point, so as to obtain the second coordinate point information, that is, the second coordinate point information includes The abscissa of the second coordinate point and the ordinate of the second coordinate point. Based on the abscissa of the second coordinate point and the ordinate of the second coordinate point, the second coordinate point is mapped to the second preset coordinate system, and the quadrant where the second coordinate point is located is determined as the quadrant where the area to be processed is located, to get the second target quadrant. Find the problem type corresponding to the second target quadrant, and use it as the network problem type corresponding to the region to be processed.

Taking a specific application scenario as an example, as shown in Figure 5, the target network registration rate corresponding to area 2 is 55%, and the target network resident rate is 20%, so it is determined that the second coordinate point is in the fourth quadrant, that is, area 2 If it is in the fourth quadrant, use the problem type corresponding to the fourth quadrant as the network problem type corresponding to region 2.

Further, optionally, the problem type corresponding to the first quadrant in the second preset coordinate system includes a large number of users corresponding to the target network and a high resident rate of the target network, when the region is in the first preset coordinate system In the first quadrant of , it indicates that the target network login rate is better and the target network retention rate is better.

The problem types corresponding to the second quadrant in the second preset coordinate system include a small number of users corresponding to the target network and a high resident rate of the target network. When the region is in the second quadrant of the first preset coordinate system, it indicates The login rate of the target network is poor, but the resident rate of the target network is still high, and the development of target network users is insufficient.

The problem types corresponding to the third quadrant in the second preset coordinate system include the small number of users corresponding to the target network and the low resident rate of the target network. When the region is in the third quadrant of the first preset coordinate system, it indicates The target network login rate is low, and the target network resident rate is low, and the efficiency of target network users is insufficient.

The problem types corresponding to the fourth quadrant in the second preset coordinate system include the large number of users corresponding to the target network and the low login rate of the target network. When the region is in the fourth quadrant of the first preset coordinate system, it indicates The target network has a high sign-in rate, but the target network has a low sign-in rate.

S303. Determine network suggestion information corresponding to the area to be processed according to the network problem type corresponding to the area to be processed.

S304. Output the network suggestion information corresponding to the area to be processed and the network problem type corresponding to the area to be processed to the target end.

In this embodiment, when determining the network problem type corresponding to the area to be processed, that is, when determining the problem existing in the target network in the area to be processed, the network suggestion information corresponding to the network problem type is searched, that is, the network problem type is determined Corresponding solution strategy, and send it to the target end, so that the relevant personnel corresponding to the target end can learn the corresponding solution strategy when they know the problems existing in the target network in the area to be processed, so as to prompt the relevant personnel how to solve the problem according to the Resolution strategies improve target network development in areas to be treated.

Optionally, according to the network problem type corresponding to the area to be processed, determine the network suggestion information corresponding to the area to be processed, including:

If the type of network problem corresponding to the area to be processed includes a small number of users corresponding to the target network, indicating that the efficiency of the target network in the area to be processed is insufficient, then the default guide users to migrate the target network information will be used as the network suggestion corresponding to the area to be processed Information, that is, to determine the strategy corresponding to the area to be processed includes preset information to guide users to migrate to the target network, so that relevant personnel can guide users to migrate to the 5G network, that is, to start using the target network.

If the type of network problem corresponding to the area to be processed includes the low usage rate of the target network, which indicates that the usage efficiency of the target network is low, then the preset information to guide users to reside on the target network will be used as the network suggestion information corresponding to the area to be processed, that is, it is determined to be processed The strategy corresponding to the region includes presetting information to guide users to reside on the target network, so that relevant personnel can guide users to reside on the network, that is, to guide users to use the target network for a long time.

If the types of network problems corresponding to the area to be processed include a large number of users corresponding to the target network and a high utilization rate of the target network, indicating that the target network in the area to be processed is developing well, there is no need to generate network suggestion information corresponding to the area to be processed.

In this embodiment, based on the four-quadrant rule, the two independent indicators included in the target network index information corresponding to the area to be processed are correlated and analyzed to determine the quadrant of the area to be processed, so that the area to be processed can be intuitively located There are problems, that is, it can quickly locate the regions where the development of the target network is relatively slow, and at the same time, it can output different solutions according to the problems existing in the region, so as to improve the analysis efficiency and promote the development of the target network.

FIG. 6 is a schematic structural diagram of a network analysis device provided by an embodiment of the present invention. As shown in FIG. 6 , the network analysis device 600 includes: an information acquisition module 601 and a processing module 602 .

Wherein, the information acquiring module 601 is configured to acquire the target network index information corresponding to the region to be processed.

The processing module 602 is configured to comprehensively analyze the target network index information corresponding to the area to be processed according to the preset four-quadrant algorithm, and determine the network problem type corresponding to the area to be processed.

The processing module 602 is also configured to output the type of network problem corresponding to the region to be processed to the target end.

In a possible design, the target network index information includes a target network login rate and a target traffic ratio.

The processing module 602 is also used for:

According to the target network login rate and target traffic ratio corresponding to the area to be processed, the information of the first coordinate point is obtained.

According to the first coordinate point information, determine the quadrant of the area to be processed in the first preset coordinate system, and determine it as the first target quadrant.

Obtain the problem type corresponding to the first target quadrant, and determine it as the network problem type corresponding to the area to be processed.

In a possible design, the target network index information includes a target network login rate and a target network resident rate.

The processing module 602 is also used for:

According to the target network login rate and target network resident rate corresponding to the area to be processed, the second coordinate point information is obtained.

According to the second coordinate point information, determine the quadrant of the area to be processed in the second preset coordinate system, and determine it as the second target quadrant.

Obtain the problem type corresponding to the second target quadrant, and determine it as the network problem type corresponding to the region to be processed.

In a possible design, the problem types include one or more of the following: the number of users corresponding to the target network is small, the usage rate of the target network is low, the number of users corresponding to the target network is large, and the usage rate of the target network is high.

In a possible design, the processing module 602 is also used to:

According to the network problem type corresponding to the area to be processed, the network suggestion information corresponding to the area to be processed is determined.

Output the network suggestion information corresponding to the region to be processed to the target end.

In a possible design, the processing module 602 is also used to:

If the type of network problem corresponding to the area to be processed includes a small number of users corresponding to the target network, the user is preset to guide the user to transfer the target network information as the network suggestion information corresponding to the area to be processed.

The network analysis device provided by the embodiment of the present invention can realize the network analysis method of the above embodiment, and its implementation principle and technical effect are similar, and will not be repeated here.

FIG. 7 is a schematic diagram of a hardware structure of an electronic device provided by an embodiment of the present invention. As shown in FIG. 7 , the electronic device 700 of this embodiment includes: a processor 701 and a memory 702;

Wherein, the memory 702 is used for storing computer-executable instructions;

The processor 701 is configured to execute computer-executable instructions stored in a memory, so as to implement various steps executed by the receiving device in the foregoing embodiments. For details, refer to the related descriptions in the foregoing method embodiments.

Optionally, the memory 702 can be independent or integrated with the processor 701 .

When the memory 702 is set independently, the electronic device further includes a bus 703 for connecting the memory 702 and the processor 701 .

An embodiment of the present invention also provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when a processor executes the computer-executable instructions, the above-mentioned network analysis method is realized.

An embodiment of the present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the above-mentioned network analysis method is realized.

In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods, for example, multiple modules can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or modules may be in electrical, mechanical or other forms.

The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each module may physically exist separately, or two or more modules may be integrated into one unit. The units formed by the above modules can be implemented in the form of hardware, or in the form of hardware plus software functional units.

The above-mentioned integrated modules implemented in the form of software function modules can be stored in a computer-readable storage medium. The above-mentioned software functional modules are stored in a storage medium, and include several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) or a processor (English: processor) to execute the functions described in various embodiments of the present application. part of the method.

It should be understood that the above-mentioned processor can be a central processing unit (English: Central Processing Unit, referred to as: CPU), and can also be other general-purpose processors, digital signal processors (English: Digital Signal Processor, referred to as: DSP), application-specific integrated circuits (English: Application Specific Integrated Circuit, referred to as: ASIC) and so on. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the method disclosed in conjunction with the invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

The storage may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk storage, and may also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk, or an optical disk.

The bus may be an Industry Standard Architecture (Industry Standard Architecture, ISA) bus, a Peripheral Component Interconnect (Peripheral Component, PCI) bus, or an Extended Industry Standard Architecture (Extended Industry Standard Architecture, EISA) bus, etc. The bus can be divided into address bus, data bus, control bus and so on. For ease of representation, the buses in the drawings of the present application are not limited to only one bus or one type of bus.

The above-mentioned storage medium can be realized by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable In addition to programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may be located in application specific integrated circuits (Application Specific Integrated Circuits, ASIC for short). Of course, the processor and the storage medium can also exist in the electronic device or the main control device as discrete components.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (7)

1. A network analysis method, comprising:

acquiring target network index information corresponding to an area to be processed;

comprehensively analyzing target network index information corresponding to the area to be processed according to a preset four-quadrant algorithm, and determining a network problem type corresponding to the area to be processed;

if the target network index information comprises a target network login rate and a target traffic ratio;

then, the comprehensively analyzing the target network index information corresponding to the area to be processed according to a preset four-quadrant algorithm, and determining the network problem type corresponding to the area to be processed includes:

obtaining first coordinate point information according to a target network login rate and the target flow occupation rate corresponding to the area to be processed;

determining a quadrant of the area to be processed in a first preset coordinate system according to the first coordinate point information, and determining the quadrant as a first target quadrant;

acquiring a problem type corresponding to the first target quadrant, and determining the problem type as a network problem type corresponding to the area to be processed; the problem types include one or more of the following: the number of the users corresponding to the target network is small, the utilization rate of the target network is low, the number of the users corresponding to the target network is large, and the utilization rate of the target network is high;

and outputting the network problem type corresponding to the area to be processed to a target end.

2. The method according to claim 1, wherein if the target network index information includes a target network login rate and a target network residence rate;

then, the comprehensively analyzing the target network index information corresponding to the area to be processed according to a preset four-quadrant algorithm to determine the network problem type corresponding to the area to be processed includes:

obtaining second coordinate point information according to the target network login rate and the target network residence rate corresponding to the area to be processed;

determining a quadrant of the area to be processed in a second preset coordinate system according to the second coordinate point information, and determining the quadrant as a second target quadrant;

and acquiring the problem type corresponding to the second target quadrant, and determining the problem type as the network problem type corresponding to the area to be processed.

3. The method of claim 1, further comprising:

determining network suggestion information corresponding to the area to be processed according to the network problem type corresponding to the area to be processed;

and outputting the network suggestion information corresponding to the area to be processed to the target end.

4. The method according to claim 3, wherein the determining the network suggestion information corresponding to the area to be processed according to the network problem type corresponding to the area to be processed comprises:

and if the network problem type corresponding to the area to be processed comprises that the number of the users corresponding to the target network is small, taking preset guide user transfer target network information as network suggestion information corresponding to the area to be processed.

5. A network analysis device, comprising:

the information acquisition module is used for acquiring target network index information corresponding to the area to be processed;

the processing module is used for comprehensively analyzing the target network index information corresponding to the area to be processed according to a preset four-quadrant algorithm and determining the type of the network problem corresponding to the area to be processed;

if the target network index information comprises a target network login rate and a target traffic occupation rate;

the processing module is specifically configured to: obtaining first coordinate point information according to a target network login rate and the target flow occupation rate corresponding to the area to be processed;

determining a quadrant of the area to be processed in a first preset coordinate system according to the first coordinate point information, and determining the quadrant as a first target quadrant;

acquiring a problem type corresponding to the first target quadrant, and determining the problem type as a network problem type corresponding to the area to be processed; the problem types include one or more of the following: the number of the users corresponding to the target network is small, the utilization rate of the target network is low, the number of the users corresponding to the target network is large, and the utilization rate of the target network is high;

the processing module is further configured to output the network problem type corresponding to the area to be processed to a target end.

6. An electronic device, comprising: at least one processor and a memory;

the memory stores computer-executable instructions;

the at least one processor executing the memory-stored computer-executable instructions cause the at least one processor to perform the network analysis method of any of claims 1 to 4.

7. A computer-readable storage medium having computer-executable instructions stored therein, which when executed by a processor, implement the network analysis method of any one of claims 1 to 4.

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