CN113301597B - Network analysis method and equipment - Google Patents
Network analysis method and equipment Download PDFInfo
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- CN113301597B CN113301597B CN202110515898.6A CN202110515898A CN113301597B CN 113301597 B CN113301597 B CN 113301597B CN 202110515898 A CN202110515898 A CN 202110515898A CN 113301597 B CN113301597 B CN 113301597B
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Abstract
The invention provides a network analysis method and equipment, wherein the method comprises the following steps: 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; and outputting the network problem type corresponding to the area to be processed to a target end, realizing automatic and rapid positioning of the network problem, avoiding manual statistic analysis of target network index information, reducing the time required by positioning the network problem and improving the efficiency of positioning the network problem.
Description
Technical Field
The embodiment of the invention relates to the technical field of networks, in particular to a network analysis method and equipment.
Background
With the development of network technology, fifth generation mobile communication technology (5G) networks have been developed rapidly, but the development of 5G networks in some areas still has a deficiency, for example, the number of 5G users is small, and therefore, in order to improve the development of 5G networks in an area, it is often necessary to evaluate the situation of the 5G networks in the area, that is, to locate the network problem existing in the 5G networks in the area.
In the prior art, in order to locate the network problem existing in the 5G network in the area, related personnel acquire the 5G network data in the area and perform statistical analysis on the 5G network data to locate the network problem existing in the 5G network in the area.
However, because the statistical analysis of the 5G network data needs to be performed manually, the network problem location time is long, and the network problem location efficiency is low.
Disclosure of Invention
The embodiment of the invention provides a network analysis method and equipment, aiming at solving the technical problem of low network problem positioning efficiency in the prior art.
In a first aspect, an embodiment of the present invention provides a network analysis method, including:
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;
and outputting the network problem type corresponding to the area to be processed to a target end.
In one possible design, the target network index information includes a target network login rate and a target traffic occupation rate;
the comprehensive analysis of the target network index information corresponding to the area to be processed according to the preset four-quadrant algorithm to determine 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;
and acquiring the problem type corresponding to the first target quadrant, and determining the problem type as the network problem type corresponding to the area to be processed.
In one possible design, the target network index information includes a target network login rate and a target network residence rate;
the comprehensive analysis of the target network index information corresponding to the area to be processed according to the 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.
In one possible design, the issue 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.
In one possible design, the method further includes:
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.
In a possible design, the determining, according to the type of the network problem corresponding to the area to be processed, network recommendation information corresponding to the area to be processed includes:
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.
In a second aspect, an embodiment of the present invention provides a network analysis device, including:
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;
the processing module is further configured to output the network problem type corresponding to the area to be processed to a target end.
In one possible design, the target network index information includes a target network login rate and a target traffic occupation rate;
the processing module is further 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;
and acquiring the problem type corresponding to the first target quadrant, and determining the problem type as the network problem type corresponding to the area to be processed.
In one possible design, the target network index information includes a target network login rate and a target network residence rate;
the processing module is further configured to:
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.
In one possible design, the issue types include one or more of: 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.
In one possible design, the processing module is further to:
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.
In one possible design, the processing module is further to:
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.
In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the network analysis method as set forth above in the first aspect and in 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, and when a processor executes the computer-executable instructions, the network analysis method according to the first aspect and various possible designs of the first aspect is implemented.
In a fifth aspect, an embodiment of the present invention provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements the network analysis method according to the first aspect and various possible designs of the first aspect.
The invention provides a network analysis method and equipment, which comprehensively analyze index information included in target network index information based on a preset four-quadrant algorithm after acquiring the target network index information corresponding to a region to be processed, namely the region needing to determine network problems, so as to obtain the network problem type corresponding to the region to be processed, namely the problem type of a target network in the region to be processed is determined, automatic and quick positioning of the network problems is realized, the target network index information does not need to be statistically analyzed manually, the time required by positioning the network problems is shortened, the efficiency of positioning the network problems is improved, and the index information included in the target network index information is comprehensively analyzed, so that the accuracy of positioning the network problems can be improved. When the network problem type corresponding to the area to be processed is determined, the network problem type is output to the target end, so that a user corresponding to the target end can successfully acquire the network problem type corresponding to the area to be processed, and the target network condition of the area to be processed can be improved according to the network problem type.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on the drawings without inventive labor.
Fig. 1 is a schematic view of a network analysis method according to an embodiment of the present invention;
fig. 2 is a first schematic flow chart of a network analysis method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a network analysis method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a first predetermined coordinate system according to an embodiment of the present invention;
FIG. 5 is a diagram of a second predetermined coordinate system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a network analysis device according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, 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 with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, in order to locate the network problem existing in the 5G network of a region, related personnel acquire certain 5G network index data of the region and perform statistical analysis on the 5G network index data to locate the network problem existing in the 5G network of the region. However, because the 5G network data needs to be statistically analyzed manually, the positioning time of the network problem is long, the positioning efficiency of the network problem is low, and the network problem in the area is positioned by using a single index, the positioned network problem is limited, and the accuracy of the positioned network problem is low.
Therefore, aiming at the problems, the technical idea of the invention is to perform relevance analysis on two indexes in a plurality of network indexes corresponding to a to-be-processed area based on a four-quadrant algorithm so as to map the to-be-processed area to a corresponding quadrant in a coordinate system, and take the network problem corresponding to the quadrant as the network problem of the to-be-processed area, so that the network problem of the to-be-processed area is automatically and quickly positioned, the time required by positioning the network problem is reduced, and the efficiency of positioning the network problem is improved. Meanwhile, when the network problem of the area to be processed is positioned, the accuracy of positioning the network problem can be improved by analyzing the relationship of the two indexes instead of analyzing by only using a single index.
The following describes the technical solutions of the present disclosure and how to solve the above technical problems in detail by specific examples. Several of these specific examples below may be combined with each other and may not be repeated in some examples for the same or similar concepts or processes. Examples of the present disclosure will now be described with reference to the accompanying drawings.
Fig. 1 is a scene schematic diagram of a network analysis method provided in an embodiment of the present invention, as shown in fig. 1, when a network condition of a certain area needs to be determined, an electronic device 101 obtains target network index information corresponding to the area, so as to locate a network problem existing in a target network in the area by using the target network index information, and sends the network problem to a target end 102, so that a relevant person corresponding to the target end 102 knows the network problem existing in the area, and thus a corresponding solution policy can be made based on the network problem, so as to improve development of the target network.
Alternatively, the electronic device 101 may be a computer, a server, or other device with data processing capability.
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 computer, a mobile terminal (e.g., a mobile phone, a tablet computer, etc.), or the like.
Fig. 2 is a first schematic flow chart of a network analysis method according to an embodiment of the present invention, where an execution subject of the embodiment may be the electronic device shown in fig. 1. As shown in fig. 2, the method includes:
s201, obtaining target network index information corresponding to the area to be processed.
In this embodiment, when a network condition of a certain area needs to be determined, that is, a network problem exists in the certain area, the area is taken as a to-be-processed area, and relevant target network information, that is, target network index information, corresponding to the to-be-processed area is searched from a preset storage location.
The preset storage location may be a location of a related server, a base station, a database, and the like.
Alternatively, the target network may be a 5G network, or may be another type of network. For example, when the target network is a 5G network, the target network indicator information is 5G network indicator information.
Optionally, the target network index information includes a target network login rate, a target traffic occupation rate, and a target network residence rate.
The target network login rate indicates the number of users using the target network. And when the network login rate of the target network is determined, acquiring the number of the users corresponding to the target network terminal, and determining the number as a first number. And acquiring the number of the target network terminals of which the target network states are the logged states, determining the number as a second number, and calculating the ratio of the second number to the first number to obtain the target network logging rate.
Specifically, the number of users using the target network terminal is the number of users using the target network terminal in a first preset time period, and the number of target network terminals whose target network states are registered states in the first preset time period is the number of terminals already registering the target network, that is, the number of users already using 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 using 5G terminals; the number of the target network terminals with the target network state of the logged-in state is the number of the 5G terminals with the 5G logged-in state.
Wherein, the target network traffic ratio rate indicates the traffic of the target network used by the user. When the target network traffic proportion is determined, the total target network traffic corresponding to the shared base station is obtained, all network traffic corresponding to the shared base station is obtained, the ratio of the total target network traffic corresponding to the shared base station to all network traffic corresponding to the shared base station is calculated, and the target network traffic proportion is obtained.
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 in the second preset time period, that is, the target network traffic consumed by the shared base station, and includes the total uplink usage traffic and the total downlink usage traffic corresponding to the target network. The total traffic of all networks corresponding to the shared base station indicates the total traffic of all networks used by the user in the shared base station in 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 target network traffic corresponding to the shared base station is the total usage 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 of all networks corresponding to the shared base station.
The network corresponding to the shared base station includes a target network (e.g., a 5G network) and other networks such as a 4G (the 4Generation mobile communication technology, fourth Generation communication technology) network.
Wherein the target network residence rate indicates the time period for which the user uses the target network. When the target network residence rate is determined, the target network usage flow corresponding to the target network terminal in the third preset time period is obtained, the total network usage flow corresponding to the target network terminal in the third preset time period is obtained, the ratio of the target network usage flow corresponding to the target network terminal to the total network usage flow corresponding to the target network terminal is calculated, and the target network residence rate is obtained.
Specifically, the total network usage traffic corresponding to the target network terminal is the target network traffic generated by the target network terminal, and the total network usage 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 the user may use the 4G and 5G networks through the target network terminal, the 5G residence rate = 5G network traffic generated by the 5G terminal of the month/total network traffic (including 4G network traffic and 5G network traffic) generated by the 5G terminal of the month.
S202, comprehensively analyzing 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.
In this embodiment, based on a preset four-quadrant algorithm, that is, a 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 indexes are comprehensively analyzed, and the area to be processed is divided into a certain quadrant, that is, a region, so that the network problem type corresponding to the area to be processed is obtained based on the quadrant.
Optionally, the type of the network problem is a network condition of the area to be processed, that is, a network problem existing in 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 S203, outputting the network problem type corresponding to the area to be processed to a target end.
In this embodiment, when the network problem type corresponding to the area to be processed is determined, which indicates that a problem of the target network of the area to be processed exists is determined, the network problem type is sent to the target end, so that a user corresponding to the target end can know the network problem existing in the area to be processed, that is, the network condition of the area to be processed, and the target network can be developed in a targeted manner according to the network condition.
In the embodiment, the network condition of the target network of the area to be processed is evaluated through a four-quadrant algorithm, the network index data are presented in a correlation mode through different dimensions, analysis is carried out according to the quadrant to which the network index data belong, the type of the network problem, namely the network problem, existing in the area to be processed is determined, and the network problem of the area is located quickly and accurately.
From the above description, after target network index information corresponding to a to-be-processed area, that is, an area where a network problem needs to be determined is obtained, the index information included in the target network index information is comprehensively analyzed based on a preset four-quadrant algorithm to obtain a network problem type corresponding to the to-be-processed area, that is, a problem type existing in a target network of the to-be-processed area is determined, so that automatic and rapid positioning of the network problem is achieved, statistical analysis on the target network index information is not needed manually, time required by network problem positioning is reduced, efficiency of network problem positioning is improved, and the accuracy of network problem positioning can be improved by comprehensively analyzing the index information included in the target network index information. When the network problem type corresponding to the area to be processed is determined, the network problem type is output to the target end, so that a user corresponding to the target end can successfully acquire the network problem type corresponding to the area to be processed, and the target network condition of the area to be processed can be improved according to the network problem type.
Fig. 3 is a second schematic flow chart of the network analysis method according to the embodiment of the present invention, and on the basis of the embodiment of fig. 2 in this embodiment, after determining the target network condition of the to-be-processed region, a corresponding policy may be further output to prompt relevant people how to improve the development of the target network of the to-be-processed region, and this process will be described below with reference to a specific embodiment. As shown in fig. 3, the method includes:
s301, target network index information corresponding to the to-be-processed area is obtained.
S302, 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.
In this embodiment, when the target network index information includes two indexes, namely, a target network logout rate and a target traffic proportion, the first coordinate point information is obtained according to the target network logout rate and the target traffic proportion corresponding to the to-be-processed region. And determining the quadrant of the area to be processed in the first preset coordinate system according to the first coordinate point information, and determining the quadrant as a first target quadrant. And acquiring the problem type corresponding to the first target quadrant, and determining the problem type as the network problem type corresponding to the area to be processed.
Specifically, the horizontal axis of the first preset coordinate system is a net climbing rate, and the vertical axis is a occupation rate. And taking the target network login rate corresponding to the area to be processed as the abscissa of the first coordinate point, and taking the target flow occupation rate corresponding to the area to be processed as the ordinate of the first coordinate point, so as to obtain first coordinate point information, wherein the first coordinate point information comprises the abscissa of the first coordinate point and the ordinate of the first coordinate point. The first coordinate point is mapped to a first preset coordinate system based on the abscissa of the first coordinate point and the ordinate of the first coordinate point, and the quadrant where the first coordinate point is located is determined as the quadrant where the area to be processed is located, so that a first target quadrant is obtained. And searching the problem type corresponding to the first target quadrant, and taking the problem type as the network problem type corresponding to the area to be processed.
Taking a specific application scenario as an example, as shown in fig. 4, if the target network access rate corresponding to the area 1 is 55% and the target traffic occupancy rate is 45%, it is determined that the first coordinate point is in the first quadrant, that is, the area 1 is in the first quadrant, and the problem type corresponding to the first quadrant is used as the network problem type corresponding to the area 1.
Further, optionally, the problem types corresponding to the first quadrant in the first preset coordinate system include that the number of users corresponding to the target network is large and the usage rate of the target network is high, and when the local area is in the first quadrant in the first preset coordinate system, it indicates that the network access rate of the target network is high and the target traffic ratio is high.
The problem types corresponding to the second quadrant in the first preset coordinate system comprise that the number of the users corresponding to the target network is small, the utilization rate of the target network is high, when the local area is located in the second quadrant in the first preset coordinate system, the fact that the network access rate of the target network is low, the target traffic proportion is high, and the traffic release of the users of the target network is relatively sufficient is indicated.
The problem types corresponding to the third quadrant in the first preset coordinate system comprise that the number of users corresponding to the target network is small, the utilization rate of the target network is low, and when the local area is in the third quadrant in the first preset coordinate system, the fact that the network access rate of the target network is low, the target traffic proportion is low, target network users develop insufficiently, and the traffic release of the target network users is insufficient is indicated.
The problem types corresponding to the fourth quadrant in the first preset coordinate system comprise that the number of the users corresponding to the target network is large, the utilization rate of the target network is low, and when the local area is located in the fourth quadrant in the first preset coordinate system, the target network login rate is high, but the target traffic occupation rate is low.
In this embodiment, when the target network index information includes two indexes, namely, a target network logout rate and a target network residence rate, the second coordinate point information is obtained according to the target network logout rate and the target network residence rate corresponding to the to-be-processed region. And determining the quadrant of the area to be processed in the 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.
Specifically, the horizontal axis of the second preset coordinate system is the net climbing rate, and the vertical axis is the residence rate. And taking the target network login rate corresponding to the area to be processed as the abscissa of the second coordinate point, and taking the target network residence rate as the ordinate of the second coordinate point, so as to obtain second coordinate point information, wherein the second coordinate point information comprises the abscissa of the second coordinate point and the ordinate of the second coordinate point. And mapping the second coordinate point to a second preset coordinate system based on the abscissa of the second coordinate point and the ordinate of the second coordinate point, and determining the quadrant in which the second coordinate point is located as the quadrant in which the area to be processed is located so as to obtain a second target quadrant. And searching the problem type corresponding to the second target quadrant, and taking the problem type as the network problem type corresponding to the area to be processed.
Taking a specific application scenario as an example, as shown in fig. 5, if the target network login rate corresponding to the area 2 is 55% and the target network residence rate is 20%, it is determined that the second coordinate point is located in the fourth quadrant, that is, the area 2 is located in the fourth quadrant, and the problem type corresponding to the fourth quadrant is taken as the network problem type corresponding to the area 2.
Further, optionally, the problem types corresponding to the first quadrant in the second preset coordinate system include a large number of users corresponding to the target network and a high target network residence rate, and when the local area is in the first quadrant in the first preset coordinate system, it indicates that the target network login rate is good and the target network residence rate is good.
The problem types corresponding to the second quadrant in the second preset coordinate system comprise a small number of users corresponding to the target network and a high target network residence rate, and when the local area is located in the second quadrant in the first preset coordinate system, the target network login rate is poor, but the target network residence rate is still high, and the target network users are not developed enough.
The problem types corresponding to the third quadrant in the second preset coordinate system comprise a small number of users corresponding to the target network and a low target network residence rate, and when the local area is in the third quadrant in the first preset coordinate system, the target network login rate is low, the target network residence rate is low, and the target network user use efficiency is insufficient.
The problem types corresponding to the fourth quadrant in the second preset coordinate system comprise a large number of users corresponding to the target network and a low target network login rate, and when the local area is located at the fourth quadrant in the first preset coordinate system, the target network login rate is high, but the target network login rate is low.
S303, determining network suggestion information corresponding to the area to be processed according to the network problem type corresponding to the area to be processed.
S304, network suggestion information corresponding to the area to be processed and the network problem type corresponding to the area to be processed are output to a target end.
In this embodiment, when the network problem type corresponding to the area to be processed is determined, that is, when the problem of the target network of the area to be processed is determined, the network suggestion information corresponding to the network problem type is searched, that is, the solution policy corresponding to the network problem type is determined, and the solution policy is sent to the target end, so that the relevant person corresponding to the target end can also know the corresponding solution policy when knowing that the target network of the area to be processed has the problem, so as to prompt the relevant person how to improve the target network development of the area to be processed according to the solution policy.
Optionally, determining network recommendation information corresponding to the area to be processed according to the network problem type corresponding to the area to be processed includes:
if the network problem type corresponding to the area to be processed includes that the number of users corresponding to the target network is small, which indicates that the use efficiency of the target network in the area to be processed is insufficient, the preset guide user transfer target network information is used as the network suggestion information corresponding to the area to be processed, that is, the strategy corresponding to the area to be processed is determined to include the preset guide user transfer target network information, so that relevant personnel guide users to transfer to the 5G network, that is, the target network is used.
If the network problem type corresponding to the area to be processed comprises low target network utilization rate, which indicates that the target network utilization rate is low, preset guide user resident target network information is used as network suggestion information corresponding to the area to be processed, namely, it is determined that the strategy corresponding to the area to be processed comprises preset guide user resident target network information, so that related personnel guide the user resident network, namely, the user is guided to use the target network for a long time.
If the network problem types corresponding to the to-be-processed area comprise a large number of users corresponding to the target network and a high utilization rate of the target network, which indicates that the target network of the to-be-processed area is well developed, the network suggestion information corresponding to the to-be-processed area does not need to be generated.
In this embodiment, based on a four-quadrant rule, two independent indexes included in target network index information corresponding to a to-be-processed area are subjected to correlation analysis, and a quadrant in which the to-be-processed area is located is determined, so that problems in the to-be-processed area can be visually located, that is, an area in which a target network is slow to develop can be quickly located, different solutions can be output according to the problems in the area, analysis efficiency is improved, and development of the target network is promoted.
Fig. 6 is a schematic structural diagram of a network analysis device according to an embodiment of the present invention, and as shown in fig. 6, the network analysis device 600 includes: an information acquisition module 601 and a processing module 602.
The information obtaining module 601 is configured to obtain target network index information corresponding to a to-be-processed area.
The processing module 602 is configured to perform comprehensive analysis on the target network index information corresponding to the area to be processed according to a preset four-quadrant algorithm, and determine a network problem type corresponding to the area to be processed.
The processing module 602 is further configured to output the network problem type corresponding to the area to be processed to the target.
In one possible design, the target network indicator information includes a target network attachment rate and a target traffic occupancy rate.
The processing module 602 is further configured to:
and obtaining first coordinate point information according to the target network login rate and the target traffic occupation rate corresponding to the area to be processed.
And determining the quadrant of the area to be processed in the first preset coordinate system according to the first coordinate point information, and determining the quadrant as a first target quadrant.
And acquiring the problem type corresponding to the first target quadrant, and determining the problem type as the network problem type corresponding to the area to be processed.
In one possible design, the target network indicator information includes a target network logout rate and a target network residence rate.
The processing module 602 is further configured to:
and 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.
And determining the quadrant of the area to be processed in the 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.
In one possible design, the issue 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.
In one possible design, the processing module 602 is further configured to:
and 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.
And outputting the network suggestion information corresponding to the area to be processed to the target end.
In one possible design, the processing module 602 is further configured to:
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.
The network analysis device provided in the embodiment of the present invention can implement the network analysis method in the above-described embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
Fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention. As shown in fig. 7, the electronic device 700 of the present embodiment includes: a processor 701 and a memory 702;
a memory 702 for storing computer-executable instructions;
the processor 701 is configured to execute the computer-executable instructions stored in the memory to implement the steps performed by the receiving device in the above embodiments. Reference may be made in particular to the description relating to the method embodiments described above.
Alternatively, the memory 702 may be separate or integrated with the processor 701.
When the memory 702 is provided separately, the electronic device further includes a bus 703 for connecting the memory 702 and the processor 701.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the network analysis method as described above is implemented.
An embodiment of the present invention further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the network analysis method as described above is implemented.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The storage medium may be implemented by any type or combination of volatile and non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. 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 integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (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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| WO2014190561A1 (en) * | 2013-05-31 | 2014-12-04 | 华为技术有限公司 | Detection method and device for network coverage |
| WO2017219855A1 (en) * | 2016-06-24 | 2017-12-28 | 中兴通讯股份有限公司 | Root cause locating method and device |
| CN112566023A (en) * | 2020-12-09 | 2021-03-26 | 中国联合网络通信集团有限公司 | Data analysis method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2014190561A1 (en) * | 2013-05-31 | 2014-12-04 | 华为技术有限公司 | Detection method and device for network coverage |
| WO2017219855A1 (en) * | 2016-06-24 | 2017-12-28 | 中兴通讯股份有限公司 | Root cause locating method and device |
| CN112566023A (en) * | 2020-12-09 | 2021-03-26 | 中国联合网络通信集团有限公司 | Data analysis method and device |
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