CN106993296B - Terminal performance evaluation method and device - Google Patents
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Abstract
The invention provides a method and a device for evaluating the performance of a terminal. The performance evaluation method of the terminal comprises the following steps: rasterizing the network coverage area to determine the network environment in each grid; determining a grid to which the target terminal belongs according to the communication information of the target terminal; calculating to obtain an initial performance score of the target terminal according to the communication information; acquiring a first evaluation parameter and a second evaluation parameter of a communication terminal with the same attribute as the target terminal in grids which the target terminal belongs to and are not the same as the grids; and correcting the initial performance score according to the first evaluation parameter and the second evaluation parameter to obtain the final performance score of the target terminal. The performance evaluation method and the performance evaluation device of the terminal can solve the technical problem that when the performance of the network side of the terminal is evaluated in the prior art, the evaluation result is greatly influenced by the network environment.
Description
Technical Field
The invention relates to a terminal performance evaluation technology, in particular to a terminal performance evaluation method and device, and belongs to the technical field of communication.
Background
With the development of communication technology, the comprehensive popularization and use of intelligent terminals also become a necessary trend of network development, and the influence of the terminal quality on the use of various services is large, so that the task of improving the terminal performance is urgent, and the primary task of improving the terminal performance is to evaluate the terminal performance and judge the performance of the terminal.
However, in the prior art, when evaluating the terminal performance, an index weight in a terminal evaluation system needs to be assigned to determine the importance level of an index, and common mathematical methods include a hierarchical method, an expert experience method and the like. However, both the analytic hierarchy process and the expert experience process include the subjective assignment process, so the final evaluation result is greatly influenced by the subjective intention of an evaluator. In addition, in the terminal network performance test, the influence of the network side signal is large, so that the influence on the accuracy construction of terminal evaluation is inevitable, and the evaluation result is inaccurate.
Therefore, a method for accurately evaluating a terminal is needed in the prior art.
Disclosure of Invention
The invention provides a performance evaluation method and device for a terminal, and aims to solve the technical problems that in the prior art, when the performance of the terminal is evaluated, the evaluation result is greatly influenced by the subjective intention of an evaluator, and when the performance of the network side of the terminal is evaluated, the evaluation result is greatly influenced by the network environment.
A first aspect of the present invention provides a method for evaluating performance of a terminal, including:
rasterizing a network coverage area based on the geographic position to determine a network environment in each grid;
receiving communication information sent by a target terminal, and determining a grid to which the target terminal belongs according to the communication information;
calculating to obtain an initial performance score of the target terminal according to the communication information;
obtaining an evaluation parameter of a communication terminal with the same attribute as the target terminal in a grid to which the target terminal belongs to obtain a first evaluation parameter;
acquiring an evaluation parameter of a communication terminal with the same attribute as the target terminal in a non-attributive grid of the target terminal to obtain a second evaluation parameter;
and correcting the initial performance score according to the first evaluation parameter and the second evaluation parameter to obtain a final performance score of the target terminal.
Another aspect of the present invention is to provide a performance evaluation apparatus of a terminal, including:
the determining module is used for rasterizing the network coverage area based on the geographic position and determining the network environment in each grid;
the positioning module is used for receiving communication information sent by a target terminal and determining a grid to which the target terminal belongs according to the communication information;
the calculation module is used for calculating to obtain an initial performance score of the target terminal according to the communication information;
the correction module is used for acquiring the evaluation parameters of the communication terminal with the same attribute as the target terminal in the grid to which the target terminal belongs to obtain first evaluation parameters;
the correction module is further used for acquiring the evaluation parameters of the communication terminal with the same attribute as the target terminal in the non-attributive grid of the target terminal to obtain second evaluation parameters;
and the correction module is further used for correcting the initial performance score according to the first evaluation parameter and the second evaluation parameter to obtain a final performance score of the target terminal.
The performance evaluation method and device for the terminal provided by the invention have the technical effects that:
the method comprises the steps of dividing grids in a network coverage area based on geographic positions, determining network environments in the grids, obtaining grids with different network environments by enabling the obtained network environments in each grid to be unique, receiving communication information of a target terminal, positioning the target terminal to the grid to which the target terminal belongs according to the communication information of the target terminal, calculating initial scores of the target terminal, and correcting the initial performance scores of the target terminal according to evaluation parameters of terminals with the same models in the grid to which the target terminal belongs and in grids which the target terminal does not belong. And the grading and the network environment of terminals with the same attribute in the grid of the whole network and the target terminal are considered, so that the influence of the network environment in the grid on the grading of the target terminal is weakened.
Drawings
Fig. 1 is a flowchart illustrating a method for evaluating performance of a terminal according to an exemplary embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for evaluating performance of a terminal according to another exemplary embodiment of the present invention;
fig. 3 is a block diagram illustrating a performance evaluation apparatus of a terminal according to an exemplary embodiment of the present invention;
fig. 4 is a block diagram illustrating a performance evaluation apparatus of a terminal according to another exemplary embodiment of the present invention.
Detailed Description
Fig. 1 is a flowchart illustrating a method for evaluating performance of a terminal according to an exemplary embodiment of the present invention.
As shown in fig. 1, the method for evaluating the performance of the terminal provided in this embodiment includes:
Specifically, each grid may include a plurality of network environments, for example, the field strength information of the main neighboring cell received by the terminal is obtained by a plurality of terminals in the grid, and then the field strength information of the main neighboring cell is matched to the grid as a network environment parameter. The field intensity information of the main adjacent cells received at different positions is different, so that the field intensity information of the main adjacent cells is matched into the grids as a network environment, and the grids carrying different network attributes can be obtained.
And 102, receiving the communication information sent by the target terminal, and determining the grid to which the target terminal belongs according to the communication information.
The target terminal is a terminal to be evaluated, the communication information carries network information connected with the target terminal, and the grid to which the target terminal belongs is judged by comparing the network information of the target terminal with the network environment in the grid. Therefore, the grid to which the target terminal belongs can be accurately positioned only according to the network information of the target terminal, the geographic position of the target terminal does not need to be acquired, and the grid is matched for the target terminal, so that the processing process is reduced, and the processing speed is increased.
And 103, calculating to obtain an initial performance score of the target terminal according to the communication information. The communication information carries network parameters of the target terminal, and the network parameters are used for grading the performance of the target terminal.
Specifically, the network parameters can be weighted and assigned, and the target terminal is comprehensively evaluated according to the scores of the network parameters and the weights of the network parameters.
And 104, acquiring the evaluation parameters of the communication terminal with the same attribute as the target terminal in the grid to which the target terminal belongs to obtain first evaluation parameters. And the communication terminal with the same attribute as the target terminal is the terminal with the same model as the target terminal.
105, acquiring an evaluation parameter of a communication terminal with the same attribute as the target terminal in a non-attributive grid of the target terminal to obtain a second evaluation parameter;
and 106, correcting the initial performance score according to the first evaluation parameter and the second evaluation parameter to obtain a final performance score of the target terminal.
The evaluation parameter may be a parameter that affects the signal strength of the terminal when the terminal interacts with the base station, for example, the distance between the terminal and the base station, and the initial score of another terminal of the same type as the target terminal may also be referred to when the score of the target terminal is corrected.
In a poor signal environment, the score of the evaluated terminal performance is low, and the score cannot represent the real performance of the terminal due to the influence of the signal on the network side. And correcting the initial performance score of the target terminal by using the evaluation parameters of the terminals with the same model in the grid to which the target terminal belongs and the grids which do not belong, and considering the influence of different network environments on the score of the terminal, thereby weakening the influence of the network environments in the grids on the score of the target terminal.
Preferably, the initial performance score of the target terminal may be modified by considering the initial score of the terminal of the same model as the target terminal in the whole network range, that is, the score of the terminal of the same model as the target terminal in different network environments is considered, so as to weaken the influence of the network environment on the score of the target terminal more effectively.
In the performance evaluation method for the terminal provided in this embodiment, grids are divided for a network coverage area based on a geographic position, network environments in the grids are determined, and the network environment in each grid is unique, so that grids with different network environments are obtained, a target terminal is positioned in the grid to which the target terminal belongs through the network environment, an initial score of the target terminal is calculated, evaluation parameters of terminals with the same model in the grid to which the target terminal belongs and the grids to which the target terminal does not belong are used, the initial performance score of the target terminal is corrected, and the influence of different network environments on the score of the terminal is considered, so that the influence of the network environment in the grids on the score of the target terminal is weakened.
Fig. 2 is a flowchart illustrating a method for evaluating performance of a terminal according to another exemplary embodiment of the present invention.
As shown in fig. 2, the method for evaluating the performance of the terminal provided in this embodiment includes:
In addition, the cell providing data service for the communication terminal is a primary cell, and the cell in which the communication terminal can monitor signals but does not perform data interaction is an adjacent cell. Preferably, in this embodiment, the cells currently used by the communication terminal are a primary cell and at least one neighboring cell, for example, the primary cell and 6 neighboring cells.
Specifically, MR (Measurement Report) data of the communication terminal is acquired, and a cell identifier of a cell currently used by the communication terminal and signal strength of a cell corresponding to the cell identifier are acquired from the MR data.
Wherein the current position information of the communication terminal can be acquired from the MR data.
Since the probability of carrying the location information in the MR data is low, the location information of the communication terminal can also be collected based on the S1 interface (the communication interface between the base station and the packet core network). Preferably, the communication terminal position information can be collected through a Cell ID + S1APID combined key value.
The grid divided in step 201 is only the grid carrying the geographical location information, and the grid with the network environment is obtained by matching the reference feature vector of the communication terminal to the grid to which the reference feature vector belongs. Moreover, the cell ID and the cell strength received at different locations are different, so the network environments of different grids are also different, and thus grids with different network environments can be obtained, that is, the network properties of each grid are different.
Preferably, a plurality of reference feature vectors are matched within each grid range, thereby making the network environment within each grid more accurate.
The cell that provides data service for the target terminal is a primary cell, and the cell that the target terminal can monitor but does not perform data interaction is an adjacent cell.
Preferably, in this embodiment, the cells currently used by the target terminal are a primary cell and at least one neighboring cell, for example, the primary cell and 6 neighboring cells. The cell identifier of the currently used cell of the target terminal and the signal strength of the cell corresponding to the cell identifier can be obtained by obtaining the MR data of the target terminal. The method used in the step is the same as the method for acquiring the reference characteristic vector of the communication terminal, so that the relative error between the acquired network data of the target terminal and the acquired network data of the communication terminal caused by different acquisition methods is eliminated.
Specifically, a minimum euclidean distance algorithm may be used to compare the target terminal with the network environment in the grid, as shown in formula 1:
RSRPi,ksignal strength, RSRP, of the kth cell of the ith target terminalj,kThe signal strength of the kth cell of the jth reference eigenvector. Determination of di,jAnd the grid where the reference characteristic vector corresponding to the minimum value is located is the grid where the target terminal is located. According to the formula 1, di,jThe smaller the value of (a) is, the closer the communication information of the target terminal is to the value of the reference feature vector, and the closer their network environments are, so that they can be considered to belong to the same grid. For example, if the target terminal is at the same position as the communication terminal corresponding to a reference feature vector, the received signal strength of the primary neighbor cell is the same, and d is calculatedi,j0 and thus their network environments are considered identical.
K may be any natural number greater than or equal to 1, which is not limited in this embodiment.
And 208, according to the communication information, performing initial weight assignment on each piece of communication information by using an information entropy algorithm, and correcting the initial weight by using a fuzzy algorithm to obtain a corrected weight value (Q) of each piece of communication information.
Wherein the communication information at least comprises: and the target terminal is resident with a preset network duration ratio and a redirection ratio. The performance of the target terminal in the multi-network coexistence environment is considered, so that the performance score of the target terminal in actual application is calculated more accurately.
Specifically, the ratio of the time length of the target terminal residing in the preset network is the ratio of the time of the target terminal residing in the preset network to the on-line time of the target terminal. The redirection ratio is the ratio of the times of switching the target terminal from the preset network to other networks to the times of switching all the networks of the target terminal.
The communication information further includes at least one of:
an attachment success rate, a tracking area update success rate, a bearer activity success rate, a public data network connection success rate, a domain name query success rate, a TCP SYN success rate, an access service success rate, an attachment delay, a bearer activity delay, a public data network connection delay, a TCP SYN delay, an access service delay, a tracking area update delay, a large packet transmission rate, a small packet transmission duration, and a drop rate.
According to the characteristics of the communication information, each communication information can be further divided into 4 dimensions, as shown in table 1.
TABLE 1
The initial weight assignment is carried out on each communication information by adopting an information entropy algorithm, and the process does not include subjective assignment, so that the problem that in the terminal performance evaluation method in the prior art, the process of subjective assignment is included when the weight assignment is carried out on the data indexes, and the evaluation result is greatly influenced by the subjective intention of an evaluator is solved.
In addition, the embodiment can also assign the weight of the communication information from the dimension level so as to reduce the weight assignment times.
Specifically, formula 2 may be used to perform initial weight assignment on each communication information.
Equation 2:
H(x)＝E[I(xi)]＝E[log(2,1/p(xi))]＝-∑p(xi)log(2,p(xi))(i＝1,2,..n)
wherein x represents a random variable, corresponding to which is a set of all possible outputs, defined as a set of symbols, the output of the random variable being represented by x. P (x) represents the output probability function.
And then, correcting the initial weight by adopting a fuzzy algorithm to obtain a corrected weight value of each communication message.
Specifically, the initial weight may be corrected by a fuzzy analytic hierarchy process. The fuzzy analytic hierarchy process is to decompose the problem according to the nature and the general target of the multi-target evaluation problem to form a step hierarchy structure from bottom to top. When a certain level evaluation index is many, the consistency of the evaluation method is difficult to guarantee. In this case, the problem is well solved by using a fuzzy analytic hierarchy process.
At step 209, each communication is scored (F). And scoring each communication information of the target terminal so as to evaluate the target terminal from multiple aspects.
In addition, the embodiment can also score the target terminal from the dimension level so as to reduce the scoring times and reduce the data processing amount.
And step 210, calculating an initial performance score of the target terminal according to the score of each communication message and the correction weight value of each communication message.
For example, an initial performance score of the target terminal may be calculated according to equation 3.
Equation 3:
Qt-F1 × Q1+ F2 × Q2+ F3 × Q3+ F4 × Q4, Qt denotes the terminal network performance score.
F is the score of each communication information of the target terminal, and Q is the weight value of the communication information.
When the performance of the target terminal is evaluated, the importance degrees of different communication information are different, so that the weight of each communication information is assigned, and the target terminal is evaluated more accurately. The communication information is subjected to weight assignment through the information entropy algorithm and the fuzzy algorithm, the influence of subjective factors of an evaluator on an evaluation result can be avoided, and the evaluation result of the terminal is more objective. Wherein, the weight assignment can be selected from the dimension level or the communication information level.
And step 213, correcting the initial performance score according to the first evaluation parameter and the second evaluation parameter to obtain a final performance score of the target terminal. And correcting the initial performance score according to the network environment and the number of the terminals with the same model as the target terminal in the grid of the target terminal and the network environment and the number of the terminals with the same model as the target terminal in the whole network, thereby considering the influence of different network environments on the grading of the terminal and weakening the influence of the network environment in the grid on the grading of the target terminal.
Where the initialization score can be modified using equation 4.
Equation 4:
where P (t) is the final performance score of the target terminal for terminal t, Gi(t) rating of terminal t on grid i, Mi(t) is the number of terminals t in grid i, Tai(t) is the distance value of the terminal t from the base station in grid i, Dai(t) is the session duration of terminal t in grid i. Through the calculation of the formula 4, the performance evaluation score after the influence of the network environment on the target terminal is weakened can be obtained.
In order to know the attributes of the terminal, terminal information, such as a terminal model, a code, a user identification code, etc., may be collected through the S1 interface. Preferably, a database is established according to the terminal information and the location information, so as to provide detailed sample data for the embodiment.
Fig. 3 is a block diagram illustrating a performance evaluation apparatus of a terminal according to an exemplary embodiment of the present invention.
As shown in fig. 3, the performance evaluation apparatus of a terminal provided in this embodiment includes:
a determining module 31, configured to perform rasterization processing on the network coverage area based on the geographic location, and determine a network environment in each grid. The principle of the determination module 31 implementing the above-described function is the same as step 101.
And the positioning module 32 is configured to receive communication information sent by the target terminal, and determine a grid to which the target terminal belongs according to the communication information. The positioning module 32 implements the same principles as described above in step 102.
And the calculating module 33 is configured to calculate an initial performance score of the target terminal according to the communication information. The principle of the calculation module 33 implementing the above-described functions is the same as step 103.
And the correcting module 34 is configured to obtain, in a grid to which the target terminal belongs, an evaluation parameter of a communication terminal having the same attribute as the target terminal, and obtain a first evaluation parameter. The principle of the modification module 34 implementing the above-described function is the same as step 104.
The modification module 34 is further configured to obtain, in a grid to which the target terminal does not belong, an evaluation parameter of a communication terminal having the same attribute as the target terminal, so as to obtain a second evaluation parameter. The principle of the correction module 34 implementing the above-described function is the same as step 105.
The modification module 34 is further configured to modify the initial performance score according to the first evaluation parameter and the second evaluation parameter, so as to obtain a final performance score of the target terminal. The principle of the modification module 34 implementing the above-described function is the same as step 106.
The determining module 31, the positioning module 32, the calculating module 33 and the correcting module 34 are connected in sequence, and the positioning module 32 is further connected with the correcting module 34.
The performance evaluation device for the terminal provided in this embodiment determines the network environments in the grids by dividing the grids into the network coverage areas based on the geographic positions, and the network environment in each grid is unique, thereby obtaining grids with different network environments, then locates the target terminal into the grid to which the target terminal belongs through the network environment, calculates the initial score of the target terminal, then corrects the initial performance score of the target terminal by using the evaluation parameters of the terminals with the same model in the grid to which the target terminal belongs and the grids to which the target terminal does not belong, considers the influence of different network environments on the score of the terminal, and thereby weakens the influence of the network environments in the grids on the score of the target terminal.
Fig. 4 is a block diagram illustrating a performance evaluation apparatus of a terminal according to another exemplary embodiment of the present invention.
As shown in fig. 4, in the performance evaluation apparatus of a terminal according to this embodiment based on the foregoing embodiment, the determining module 31 includes:
and the dividing module 41 is configured to perform rasterization processing on the network coverage area based on the geographic location. The principle of the division module 41 to accomplish the above function is the same as step 201.
An acquiring module 42, configured to acquire a reference feature vector of the communication terminal, where the reference feature vector includes: the communication terminal uses the cell identification of the cell currently and the signal intensity of the cell corresponding to the cell identification. The principle of the acquisition module 42 performing the above-described functions is the same as step 202.
The collecting module 42 is also used for collecting the current position information of the communication terminal. The principle of the acquisition module 42 to perform the above functions is the same as step 203.
An attribution module 43, configured to determine, according to the current location information of the communication terminal, a grid to which the communication terminal belongs. The home module 43 performs the same principle as step 204.
And the matching module 44 is configured to match the reference feature vector of the communication terminal to the grid to which the communication terminal belongs, so as to obtain the network environment in each grid. The matching module 44 performs the above-mentioned functions in the same manner as step 205.
The dividing module 41, the collecting module 42, the attribution module 43 and the matching module 44 are connected in sequence.
The positioning module 32 includes:
a receiving module 45, configured to receive communication information sent by a target terminal, where the communication information includes: the target terminal uses the cell identification of the cell currently and the signal intensity of the cell corresponding to the cell identification. The principle of the receiving module 45 to perform the above functions is the same as step 206.
A comparing module 46, configured to compare the cell identifier of the cell currently used by the target terminal and the signal strength of the cell corresponding to the cell identifier with the network environment in each grid, so as to obtain the grid to which the target terminal belongs. The principle of the matching module 46 for performing the above function is the same as step 207.
The receiving module 45 is connected to the comparing module 46 and the matching module 44, respectively.
The calculation module 33 includes:
and the assignment module 47 is configured to perform initial weight assignment on each piece of communication information by using an information entropy algorithm according to the communication information, and correct the initial weight by using a fuzzy algorithm to obtain a corrected weight value of each piece of communication information.
The assigning module 47 is connected to the receiving module 45, and is configured to obtain the communication information of the target terminal from the receiving module 45.
The communication information includes at least: the target terminal resides in a preset network time ratio and a redirection ratio; the communication information further includes at least one of:
an attachment success rate, a tracking area update success rate, a bearer activity success rate, a public data network connection success rate, a domain name query success rate, a TCP SYN success rate, an access service success rate, an attachment delay, a bearer activity delay, a public data network connection delay, a TCP SYN delay, an access service delay, a tracking area update delay, a large packet transmission rate, a small packet transmission duration, and a drop rate. The assignment module 47 performs the same function as step 208.
And a communication scoring module 48 for scoring each communication. The principle of the communication scoring module 48 to perform the above-described functions is the same as step 209.
And an initial performance scoring module 49, configured to calculate an initial performance score of the target terminal according to the score of each piece of communication information and the modified weight value of each piece of communication information. The principle of the initial performance scoring module 49 performing the above function is the same as step 210.
The assignment module 47, the communication information scoring module 48 and the initial performance scoring module 49 are connected in sequence.
The comparison module 46 and the initial performance scoring module 49 are respectively connected to the modification module 34.
The modification module 34 is configured to obtain, in a grid to which the target terminal belongs, an evaluation parameter of a communication terminal having the same attribute as the target terminal, to obtain a first evaluation parameter. The principle of the modification module 34 for accomplishing the above-mentioned functions is the same as that of step 211.
The modification module 34 is further configured to obtain, in a grid to which the target terminal does not belong, an evaluation parameter of a communication terminal having the same attribute as the target terminal, so as to obtain a second evaluation parameter. The principle of the modification module 34 for performing the above function is the same as step 212.
The modification module 34 is further configured to modify the initial performance score according to the first evaluation parameter and the second evaluation parameter, so as to obtain a final performance score of the target terminal. The principle of the modification module 34 for performing the above function is the same as step 213.
The evaluation parameters acquired by the correction module 34 include: the number of communication terminals with the same attribute as the target terminal, the session duration and the distance from the base station.
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 (8)
1. A method for evaluating performance of a terminal, comprising:
rasterizing a network coverage area based on the geographic position to determine a network environment in each grid;
receiving communication information sent by a target terminal, and determining a grid to which the target terminal belongs according to the communication information, wherein the communication information at least comprises: the target terminal resides in a preset network time ratio and a redirection ratio, and the communication information further includes at least one of the following information: an attachment success rate, a tracking area update success rate, a bearer activity success rate, a public data network connection success rate, a domain name query success rate, a TCP SYN success rate, an access service success rate, an attachment delay, a bearer activity delay, a public data network connection delay, a TCP SYN delay, an access service delay, a tracking area update delay, a large packet transmission rate, a small packet transmission duration, and a drop rate;
according to the communication information, performing initial weight assignment on each communication information by adopting an information entropy algorithm, and correcting the initial weight by adopting a fuzzy algorithm to obtain a corrected weight value of each communication information;
scoring each of the communications;
calculating an initial performance score of the target terminal according to the score of each communication information and the correction weight value of each communication information;
obtaining an evaluation parameter of a communication terminal with the same attribute as the target terminal in a grid to which the target terminal belongs to obtain a first evaluation parameter;
acquiring an evaluation parameter of a communication terminal with the same attribute as the target terminal in a non-attributive grid of the target terminal to obtain a second evaluation parameter;
and correcting the initial performance score according to the first evaluation parameter and the second evaluation parameter to obtain a final performance score of the target terminal.
2. The method according to claim 1, wherein the rasterizing the network coverage area based on the geographic location and the determining the network environment in each grid comprises:
acquiring a reference feature vector of a communication terminal, wherein the reference feature vector comprises: the communication terminal uses the cell identification of the cell currently and the signal intensity of the cell corresponding to the cell identification;
collecting current position information of the communication terminal;
determining a grid to which the communication terminal belongs according to the current position information of the communication terminal;
and matching the reference characteristic vector of the communication terminal to the grids to which the reference characteristic vector belongs to obtain the network environment in each grid.
3. The method of claim 2, wherein the communication information comprises: the target terminal uses the cell identification of the cell currently and the signal intensity of the cell corresponding to the cell identification; correspondingly, the receiving the communication information sent by the target terminal, and determining the grid to which the target terminal belongs according to the communication information includes:
and comparing the cell identifier of the cell currently used by the target terminal and the signal intensity of the cell corresponding to the cell identifier with the network environment in each grid to obtain the grid to which the target terminal belongs.
4. The method according to claim 1, wherein the evaluation parameter comprises: the number of communication terminals with the same attribute as the target terminal, the session duration and the distance from the base station.
5. An apparatus for evaluating performance of a terminal, comprising:
the determining module is used for rasterizing the network coverage area based on the geographic position and determining the network environment in each grid;
a positioning module, configured to receive communication information sent by a target terminal, and determine a grid to which the target terminal belongs according to the communication information, where the receiving of the communication information sent by the target terminal by the positioning module at least includes: the target terminal is resident with a preset network duration ratio and a redirection ratio; the communication information further includes at least one of: an attachment success rate, a tracking area update success rate, a bearer activity success rate, a public data network connection success rate, a domain name query success rate, a TCP SYN success rate, an access service success rate, an attachment delay, a bearer activity delay, a public data network connection delay, a TCP SYN delay, an access service delay, a tracking area update delay, a large packet transmission rate, a small packet transmission duration, and a drop rate;
a computing module, comprising: the assignment module is used for assigning an initial weight to each piece of communication information by adopting an information entropy algorithm according to the communication information and correcting the initial weight by adopting a fuzzy algorithm to obtain a corrected weight value of each piece of communication information; the communication information scoring module is used for scoring each piece of communication information; the initial performance scoring module is used for calculating an initial performance score of the target terminal according to the score of each piece of communication information and the correction weight value of each piece of communication information;
the correction module is used for acquiring the evaluation parameters of the communication terminal with the same attribute as the target terminal in the grid to which the target terminal belongs to obtain first evaluation parameters;
the correction module is further used for acquiring the evaluation parameters of the communication terminal with the same attribute as the target terminal in the non-attributive grid of the target terminal to obtain second evaluation parameters;
and the correction module is further used for correcting the initial performance score according to the first evaluation parameter and the second evaluation parameter to obtain a final performance score of the target terminal.
6. The apparatus for evaluating the performance of a terminal according to claim 5, wherein the determining module comprises:
the acquisition module is used for acquiring a reference characteristic vector of the communication terminal, wherein the reference characteristic vector comprises: the communication terminal uses the cell identification of the cell currently and the signal intensity of the cell corresponding to the cell identification;
the acquisition module is also used for acquiring the current position information of the communication terminal;
the attribution module is used for determining a grid to which the communication terminal belongs according to the current position information of the communication terminal;
and the matching module is used for matching the reference characteristic vector of the communication terminal to the grids to which the reference characteristic vector belongs to obtain the network environment in each grid.
7. The apparatus for evaluating the performance of the terminal according to claim 6, wherein the receiving the communication information sent by the target terminal by the positioning module comprises: the target terminal uses the cell identification of the cell currently and the signal intensity of the cell corresponding to the cell identification; correspondingly, the positioning module comprises:
and the comparison module is used for comparing the cell identifier of the cell currently used by the target terminal and the signal intensity of the cell corresponding to the cell identifier with the network environment in each grid to obtain the grid to which the target terminal belongs.
8. The apparatus for evaluating the performance of a terminal according to claim 5, wherein the evaluation parameter comprises: the number of communication terminals with the same attribute as the target terminal, the session duration and the distance from the base station.
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