CN108124271B - Network quality evaluation method and device based on user perception - Google Patents
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Abstract
The embodiment of the invention provides a network quality evaluation method and device based on user perception, relates to the technical field of communication, and solves the problem that the experience of a user on an actual network cannot be directly reflected due to the fact that network quality evaluation is carried out based on network side data in the prior art. The method comprises the following steps: acquiring a user identifier of a target user; determining a cell identification list corresponding to a target user from a service detail list of the target user according to a user identification of the target user, wherein the service detail list comprises a voice detail list and/or a data detail list; determining user perception scores of the cells in the cell identification list according to the weight coefficients of the network quality derogation points and the network quality index scores corresponding to the network quality derogation points; the weighting coefficient of the network quality detraction points is used for representing the specific gravity of the user for each network quality detraction point score. The invention is applied to the evaluation of the cell network quality.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a network quality evaluation method and device based on user perception.
Background
With the rapid development of the mobile internet, the emphasis of more and more operators on the network quality gradually shifts from the operation performance and the operation index of the network device to the network service performance and the actual experience of the user.
In the prior art, an operator generally collects indexes of network access performance, network Maintenance performance, resource utilization condition and the like in network equipment in an Operation and Maintenance Center (OMC) system of a network to judge whether the network quality is good or bad, so that the network quality condition of the whole network or a specific base station is reflected under a certain condition, and the user experience on the network is indirectly reflected to a certain extent. However, the method for detecting the network quality is based on statistical analysis of network side data, so that the actual use perception of the user on the network is difficult to reflect, and the use condition and the experience of the user on the actual network cannot be reflected intuitively.
Disclosure of Invention
Embodiments of the present invention provide a network quality assessment method and apparatus based on user perception, which solve the problem in the prior art that the user experience on an actual network cannot be directly reflected due to the fact that network quality assessment is performed based on network side data.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, a method for evaluating network quality based on user perception is provided, the method comprising:
acquiring a user identifier of a target user;
determining a cell identification list corresponding to the target user from a service detail list of the target user according to the user identification of the target user, wherein the service detail list comprises a voice detail list and/or a data detail list;
determining a user perception score of a cell in the cell identification list according to a weight coefficient of a network quality derogation point and a network quality index score corresponding to the network quality derogation point; wherein the weighting factor of the network quality detraction points is used for representing the specific gravity of the user for each network quality detraction point score.
For example, the determining the user perception score of the cell in the cell identifier list according to the weight coefficient of the network quality detraction point and the network quality indicator score corresponding to the network quality detraction point specifically includes:
based on a user perception score calculation formula, substituting the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point into the user perception score calculation formula, and calculating the user perception score of the cell in the cell identification list;
the user perception score calculation formula is as follows:
wherein, F isnA user perception score for cell n, said PiWeight coefficient for network depreciation point i, said KiAnd obtaining the network quality index score corresponding to the network quality derogation point i.
Optionally, the method further includes:
prioritizing cells in the list of cells based on the user perception score; wherein, the high or low of the priority is used for indicating the network quality in the cell.
Further, after determining the cell identifier list corresponding to the target user from the service detail list of the target user according to the user identifier of the target user, the method further includes:
determining a cell value score according to the cell income value, the cell user value and the cell service quantity value;
further, the prioritizing the cells based on the user perception score specifically includes:
forming the user perception score and the cell value score into a coordinate point;
carrying out priority sequencing on the cells in the cell identification list according to the positions of the coordinate points in the quadrants;
the user perception score serves as a horizontal coordinate, the cell value score serves as a vertical coordinate, and the coordinate origin value is formed by a preset user perception score and a preset cell value score.
For example, the determining a cell value score according to a cell revenue value, a cell user value, and a cell traffic value specifically includes:
based on a cell value scoring formula, substituting a cell income value, a cell user value and a cell service quantity value into the cell value scoring formula, and calculating a cell value score;
the cell value score formula is: t isn＝Std(An)+Std(Bn)+Std(Cn) Wherein, the Std (A)n) For normalized cell revenue values, the Std (B)n) For normalized cell user values, the Std (C)n) Is a standardized cell traffic value.
In a second aspect, an apparatus for evaluating network quality based on user perception is provided, including:
the acquisition module is used for acquiring the user identification of the target user;
a determining module, configured to determine, according to the user identifier of the target user, a cell identifier list corresponding to the target user from a service detail list of the target user, where the service detail list includes a voice detail list and/or a data detail list;
the determining module is further configured to determine a user perception score of a cell in the cell identifier list according to the weight coefficient of the network quality derogation point and the network quality indicator score corresponding to the network quality derogation point; wherein the weighting factor of the network quality detraction points is used for representing the specific gravity of the user for each network quality detraction point score.
Illustratively, the determining module is specifically configured to:
based on a user perception score calculation formula, substituting the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point into the user perception score calculation formula, and calculating the user perception score of the cell in the cell identification list;
the user perception score calculation formula is as follows:
wherein, F isnA user perception score for cell n, said PiWeight coefficient for network depreciation point i, said KiAnd obtaining the network quality index score corresponding to the network quality derogation point i.
Optionally, the apparatus further comprises:
a ranking module to prioritize cells in the list of cells based on the user perception scores; wherein, the high or low of the priority is used for indicating the network quality in the cell.
Illustratively, the determining module is further configured to:
determining a cell value score according to the cell income value, the cell user value and the cell service quantity value;
the sorting module is specifically configured to:
forming the user perception score and the cell value score into a coordinate point;
carrying out priority sequencing on the cells in the cell list according to the positions of the coordinate points in the quadrants;
the user perception score serves as a horizontal coordinate, the cell value score serves as a vertical coordinate, and the coordinate origin value is formed by a preset user perception score and a preset cell value score.
Further, the determining module is specifically configured to:
based on a cell value scoring formula, substituting a cell income value, a cell user value and a cell service quantity value into the cell value scoring formula, and calculating a cell value score;
the cell value score formula is: t isn＝Std(An)+Std(Bn)+Std(Cn) Wherein, the Std (A)n) For normalized cell revenue values, the Std (B)n) For normalized cell user values, the Std (C)n) Is a standardized cell traffic value.
Compared with the prior art in which the network quality is evaluated based on the network side data, which can cause that the user experience on the actual network cannot be directly reflected, the network quality evaluation method and device based on the user perception provided by the embodiment of the invention, when the network quality evaluation is carried out, the user perception score of the cell is determined according to the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point, since the weighting factor of the network quality detraction points is used to represent the user's weight for the respective network quality detraction point scores, such that the calculated user perception score of the cell fully accounts for the user's true perception of network usage, therefore, the quality of the actual network quality of the cell users can be comprehensively reflected, and the network quality can be pertinently improved based on the actual experience of the users by an operator.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a method for evaluating network quality based on user perception according to an embodiment of the present invention;
fig. 2 is a quadrant distribution diagram formed by user perception scores and cell value scores of a cell according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a network quality evaluation apparatus based on user perception according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
The execution subject for executing the network quality evaluation method based on user perception in the embodiment of the present invention may be a network quality evaluation device or network equipment based on user perception. The network device may be, for example and without limitation, a server, a base station, or the like.
The Net recommendation Score (NPS) in the embodiment of the present invention is substantially in the form of questionnaires, and asks the most direct questions whether the user would like to recommend a company, a product, a service, etc. to other potential customers, and is substantially a quantitative indicator of loyalty of the user to the company, the product, and the service. The user scores between 0-10 according to the degree of willing recommendation and establishes 3 categories of customer loyalty according to the scoring situation: (1) recommender (score 9-10): having a fierce loyalty, will continue to buy and recommend to others; (2) passives (score 7-8): overall satisfaction, but not enthusiasm, will consider other competitor's products; (3) depreciation (score 0-6): unsatisfactory or lack of loyalty to use; and the corresponding net recommendation is the difference between the percentage of recommenders and the percentage of derogators.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
An embodiment of the present invention provides a network quality assessment method based on user perception, as shown in fig. 1, the method includes:
101. and acquiring the user identification of the target user.
For example, the target users are users with a network quality portion score of 0-6 in the NPS, which are referred to as network quality derogation users, that is, the target users are corresponding network quality derogation users in the NPS, which include voice traffic derogation users and/or data traffic derogation users. The user identification of the target user may be manually input into the computer, or may be obtained by the computer through statistics according to the score of the electronic questionnaire, which is not limited herein, but is described by way of example only.
102. And determining a cell identification list corresponding to the target user from the service detail list of the target user according to the user identification of the target user.
The service detail list comprises a voice detail list and/or a data detail list.
Illustratively, the voice details are correspondingly presented in a third generation mobile communication technology (3 rd-generation, abbreviated as 3G) network, and the data details are correspondingly presented in a fourth generation mobile communication technology (4 rd-generation, abbreviated as 4G) network.
Exemplarily, the determining the cell identifier list corresponding to the target user from the voice ticket detail list and the data ticket detail list of the target user according to the user identifier of the target user specifically includes: and performing association evaluation on the 3G voice detail list and the 4G data detail list in the preset time period by using the MSISDN/IMSI as a key word according to the user identifier of the target user, and respectively and correspondingly obtaining a cell list of the voice service derogation user and the data service derogation user, namely finally obtaining a cell identifier list corresponding to the target user.
103. And determining the user perception score of the cell in the cell identification list according to the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point.
The weighting coefficient of the network quality detraction points is used for representing the specific gravity of the user for each network quality detraction point score. And the specific weight of the network quality derogation point score is the frequency of the user's mention of each network quality derogation point.
Optionally, the step 103 specifically includes the following steps:
firstly, a one-to-one quality indicator (KPI) indicator mapping system is established according to the network quality derogation points, wherein the KPI indicator mapping system comprises the types of the network quality derogation points and the network quality indicator scores corresponding to the network quality derogation points.
And secondly, determining the user perception score of the cell in the cell identification list according to the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point in the KPI index mapping system.
Illustratively, the point of loss of network quality may vary from network development planning to network development planning and to business models. And the network quality depreciation points described herein may include: voice signal overlay, voice call stability, data signal overlay, data network stability, and data network rate, which are merely examples and are not limiting.
Illustratively, the step 103 specifically includes the following steps:
103a, based on the user perception score calculation formula, bringing the weight coefficient of the network quality depreciation point and the network quality index score corresponding to the network quality depreciation point into the user perception score calculation formula, and calculating the user perception score of the cell in the cell identification list.
Wherein, the user perception score calculation formula is as follows:
above FnFor the user perception score of cell n, P as described aboveiWeight coefficient of network depreciation point i, and KiAnd obtaining the network quality index score corresponding to the network quality derogation point i. The formula for calculating the weight coefficient of the network quality derogation point is as follows: pi＝xi/X (formula 2)
Wherein, x isiFor representing the total number of occurrences of network quality detraction points i, and the above-mentioned X is used for representing the total number of occurrences of all network detraction points.
Exemplarily, the network quality derogation points, the corresponding mapped network KQI indexes, and the network quality index scores corresponding to the network quality derogation points are given with reference to table 1 below.
TABLE 1
For example, the network quality indicator condition corresponding to each depreciation point can be known from table 1 described above. When the evaluation results in table 1 are converted into corresponding scores, the following can be specifically referred to.
For example, if the score of the scoring result is 0 point that is evaluated as good, 1 point that is evaluated as good, 2 points that are evaluated as medium, and 3 points that are evaluated as bad, the network quality index score corresponding to each network quality derogation point may be obtained based on the above equations 1 and 2. However, the method of converting the evaluation result into the evaluation score is not limited and is merely an example, and in actual applications, the user may select the evaluation result according to actual needs.
Compared with the prior art in which network quality is evaluated based on network side data, which may result in that the experience of a user on an actual network cannot be directly reflected, in the method for evaluating network quality based on user perception provided by the embodiment of the present invention, when network quality is evaluated, a user perception score of a cell is determined according to a weight coefficient of a network quality derogation point and a network quality index score corresponding to the network quality derogation point, and since the weight coefficient of the network quality derogation point is used for representing a specific gravity of the user on each network quality derogation point, the calculated user perception score of the cell fully considers the real experience of the user on the network use, so that the quality of the actual network quality of the cell user can be comprehensively reflected, which is beneficial for an operator to improve the network quality in a targeted manner.
For example, in the network maintenance process of an operator, since the number of corresponding cells is large and the network quality of each cell is different in severity, the cells need to be prioritized, so that the cell with the highest network quality can be overhauled or maintained first. Specifically, the method further comprises:
a1, prioritizing the cells in the cell identification list based on the user perception score.
Wherein, the high or low of the priority is used for indicating the network quality in the cell.
For example, the method of converting the evaluation result into the evaluation score based on the above example may be known that a higher user perception score of a cell represents a higher priority of the cell and the network quality in the corresponding cell is the worst, and conversely, a lower user perception score of a cell represents a lower priority of the cell and the network quality in the corresponding cell is the best. This is merely an example and is not intended to be limiting.
For example, due to cost and other reasons, the operator may perform network quality maintenance according to the order of the obtained cell priorities. Therefore, on one hand, the network quality is improved, and on the other hand, the network quality maintenance is carried out by an operator according to the sequence without influencing the normal use of the user.
Illustratively, based on the content of step 102, the method further comprises, after step 102, considering the actual revenue of the cell:
and B1, determining a cell value score according to the cell income value, the cell user value and the cell service quantity value.
For example, since the units and data dimensions corresponding to the three elements of value (cell revenue value, cell user value, and cell traffic value) are not consistent, the three elements of value need to be normalized.
The three important elements specifically include: a cell revenue value, a cell user value, and a cell traffic value, wherein: the income value of the cell is the sum of the product of the user traffic of each cell and the unit price of the corresponding package, the number of the users of the cell is the total number of the users after the weight removal, and the cell traffic is the sum of the RLC layer traffic.
Specifically, the standardized calculation formula of the cell income value is as follows:
wherein A isnIs a value of cell income, mu, in a predetermined time periodAIs the mean value, σ, of the cell income values over a predetermined period of timeAIs the standard deviation value of the cell revenue value for a predetermined time period.
The cell user value standardization formula is as follows:
wherein, BnIs a cell user value, muBIs the mean value, σ, of the cell user valuesBIs the standard deviation value of the cell user value.
The cell traffic numerical standardization formula is as follows:
wherein, CnIs a cell traffic value, muCIs the mean, σ, of cell traffic valuesCIs the standard deviation of the cell traffic values.
For example, based on the normalized values of the three elements, the step B1 specifically includes the following steps:
and C1, based on the cell value scoring formula, bringing the cell income value, the cell user value and the cell traffic value into the cell value scoring formula, and calculating the cell value score.
Wherein, the above-mentioned cell value score formula is:
Tn＝Std(An)+Std(Bn)+Std(Cn) (formula 6)
The Std (A)n) For normalized cell revenue values, the Std (B)n) For normalized cell user values, the Std (C)n) Is a standardized cell traffic value.
Illustratively, based on the content of B1, the step a1 specifically includes the following contents:
and D1, forming the user perception score and the cell value score into a coordinate point.
D2, prioritizing the cells according to the position of the coordinate point in the quadrant.
The user perception score is used as a horizontal coordinate, the cell value score is used as a vertical coordinate, and the coordinate origin value is formed by a preset user perception score and a preset cell value score.
For example, the preset user perception score and the preset cell value score may be set by an operator according to actual situations, or may be fixed numerical values, for example, the above-mentioned origin of coordinates may be (2, 4).
For example, referring to the quadrant distribution graph formed by the cell value score and the user perception score corresponding to the cell shown in fig. 2, it can be known that:
the user perception score of the cell in the first quadrant is high (the corresponding cell has poor network quality), and the cell value score is high, so that the cell in the first quadrant is a high-priority cell, that is, the network quality of the cell in the first quadrant is poor but the cell value score is high, and the first priority is required for correction or maintenance.
The user perception score of the cell in the fourth quadrant is high (the corresponding cell has poor network quality), and the cell value score is low, so that it is obtained that the cell in the fourth quadrant is a medium priority cell, i.e. the cell in the fourth quadrant has poor network quality but low cell value score, and second priority adjustment is required.
The user perception score of the cell located in the second quadrant is low (the network quality of the corresponding cell is good), and the value score of the cell is high, so that the cell located in the second quadrant is a low-priority cell, that is, the network quality of the cell located in the second quadrant is good, but the value score of the cell is high, and the third priority is considered to be correct and improved.
The user perception score of the cell located in the third quadrant is low (the network quality of the corresponding cell is good), and the value score of the cell is also low, so that the cell located in the third quadrant is a low-priority cell, that is, the network quality of the cell located in the third quadrant is good but the value score of the cell is low, and the fourth priority is required for correction.
The implementation of the present solution will be described below based on a specific example. Since the 3G voice service and the 4G data service in the existing network are separated, the following description will be given by taking the data service as an example, and the specific process of the voice service is the same as that of the data service.
Selecting a first quarter NPS client perception comprehensive measurement questionnaire in 2016 of a certain province city in North China, wherein the sample amount is 305 in total; the calculated overall net recommendation value is divided into-6.56 points, wherein the net network quality recommendation value is divided into-11.17 points, the net service quality recommendation value is divided into 7.79 points, and the net service recommendation value is divided into 1.77 points, so that the network quality is a short board with low overall net recommendation value caused by influence, and the network quality is embodied as the network quality in the data service.
First, 125 persons totaling the network quality derogation users (i.e. 125 persons corresponding to the target users mentioned above) are screened.
Secondly, through the data detail list of three days before the correlation investigation of the loss-reduced users, 619 total cells corresponding to the data service loss-reduced users are obtained (namely, the number of the cells in the cell identification list corresponding to the target user is 619).
And thirdly, determining the user perception score of the cell according to the weight parameter of the network quality derogation point and the network quality index score corresponding to the network quality derogation point.
Wherein, the calculation result of the weight coefficient of each network quality derogation point of the data service refers to the following table 2:
TABLE 2
Finally, prioritization is performed based on the user perception scores and the cell value scores of the cells. The results obtained are shown in table 3 below (some examples).
TABLE 3
By jointly analyzing the cell user perception score and the cell value score corresponding to the data service derogation user according to the method, 28 problem cells are screened out in total (only a part of the cells are cut out in table 3). Then, the operator maintains the network quality and the cell value of the cell according to the ranking order of the 28 problem cell priorities, which is considered one by one. From table 3, it can be seen that the network quality in the cells identified as ZZWH07B0_10, ZZWH3553_0, and ZZWH1592_2 is relatively poor and the cell value is high, and in the first 3 position, the operator is required to perform maintenance preferentially.
A network quality evaluation based on user perception provided by the embodiment of the present invention will be described below based on the related description in the embodiment of the network quality evaluation method based on user perception corresponding to fig. 1. Technical terms, concepts and the like related to the above embodiments in the following embodiments may refer to the above embodiments, and are not described in detail herein.
An embodiment of the present invention provides a network quality assessment apparatus based on user perception, as shown in fig. 3, the apparatus includes: an obtaining module 31 and a determining module 32, wherein:
the obtaining module 31 is configured to obtain a user identifier of a target user.
A determining module 32, configured to determine, according to a user identifier of a target user, a cell identifier list corresponding to the target user from a service detail list of the target user, where the service detail list includes a voice detail list and/or a data detail list; the network quality derogation point is used for determining the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point; the weighting coefficient of the network quality detraction points is used for representing the specific gravity of the user for each network quality detraction point score.
The service detail list comprises a voice detail list and/or a data detail list. The weighting coefficients of the network quality detraction points described above are used to indicate the magnitudes of the weights of the user's scores for the respective network quality detraction points. And the specific weight of the network quality derogation point score is the frequency of the user's mention of each network quality derogation point.
Illustratively, the determining module 32 is specifically configured to:
and based on a user perception score calculation formula, substituting the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point into the user perception score calculation formula, and calculating the user perception score of the cell in the cell identification list.
The user perception score calculation formula is as follows:
wherein, FnIs the user perception score, P, of cell niWeight coefficient, K, for network depreciation point iiAnd obtaining the network quality index score corresponding to the network quality derogation point i.
Optionally, the apparatus 3 further comprises: a sorting module 33, wherein:
a sorting module 33, configured to perform priority sorting on cells in the cell list based on the user perception score; wherein, the high or low of the priority is used for indicating the network quality in the cell.
Illustratively, the determining module 32 is further configured to:
determining a cell value score according to the cell income value, the cell user value and the cell service quantity value;
further, the sorting module 33 is specifically configured to:
forming a coordinate point by the user perception score and the cell value score;
carrying out priority sequencing on the cells in the cell list according to the positions of the coordinate points in the quadrants;
the user perception score is used as a horizontal coordinate, the cell value score is used as a vertical coordinate, and the coordinate origin value is formed by a preset user perception score and a preset cell value score.
Illustratively, the determining module 32 is specifically configured to:
based on a cell value scoring formula, bringing a cell income value, a cell user value and a cell service quantity value into the cell value scoring formula, and calculating a cell value score;
the cell value score formula is: t isn＝Std(An)+Std(Bn)+Std(Cn) Wherein, Std (A)n) For normalized cell revenue values, Std (B)n) For normalized cell user value, Std (C)n) Is a standardized cell traffic value.
Compared with the prior art in which network quality is evaluated based on network side data, which may result in that the experience of a user on an actual network cannot be directly reflected, in the network quality evaluation device based on user perception provided in the embodiment of the present invention, when the network quality evaluation is performed, the user perception score of a cell is determined according to the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point, and since the weight coefficient of the network quality derogation point is used for representing the proportion of the user to each network quality derogation point score, the calculated user perception score of the cell fully considers the real experience of the user on the network use, so that the quality of the actual network quality of the cell user can be comprehensively reflected, which is beneficial for an operator to improve the network quality in a targeted manner based on the actual experience of the user.
In the several embodiments provided in the present application, it should be understood that the disclosed network quality assessment apparatus and method based on user perception may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is only one logical division, and the actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of the base station or the module through some interfaces, 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 place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may be physically included alone, or two or more modules may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A network quality assessment method based on user perception is characterized by comprising the following steps:
acquiring a user identifier of a target user;
determining a cell identification list corresponding to the target user from a service detail list of the target user according to the user identification of the target user, wherein the service detail list comprises a voice detail list and/or a data detail list;
determining a user perception score of a cell in the cell identification list according to a weight coefficient of a network quality derogation point and a network quality index score corresponding to the network quality derogation point; the weighting coefficient of the network quality derogation point is used for representing the specific gravity of the user for each network quality derogation point score; the specific weight of the network quality derogation point score is the frequency of the user's mention of each network quality derogation point.
2. The method according to claim 1, wherein the determining the user perception score of the cell in the cell identity list according to the weight coefficient of the network quality detraction point and the network quality indicator score corresponding to the network quality detraction point specifically includes:
based on a user perception score calculation formula, substituting the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point into the user perception score calculation formula, and calculating the user perception score of the cell in the cell identification list;
the user perception score calculation formula is as follows:
wherein, F isnA user perception score for cell n, said PiWeight coefficient for network depreciation point i, said KiAnd obtaining the network quality index score corresponding to the network quality derogation point i.
3. The method of claim 1, further comprising:
prioritizing cells in the list of cells based on the user perception score; wherein, the high or low of the priority is used for indicating the network quality in the cell.
4. The method of claim 3, wherein after determining the cell identifier list corresponding to the target user from the service detail list of the target user according to the user identifier of the target user, the method further comprises:
determining a cell value score according to the cell income value, the cell user value and the cell service quantity value;
the prioritizing the cells in the cell list based on the user perception score may specifically include:
forming the user perception score and the cell value score into a coordinate point;
carrying out priority sequencing on the cells in the cell list according to the positions of the coordinate points in the quadrants;
the user perception score serves as a horizontal coordinate, the cell value score serves as a vertical coordinate, and the coordinate origin value is formed by a preset user perception score and a preset cell value score.
5. The method of claim 4, wherein determining the cell value score based on the cell revenue value, the cell user value, and the cell traffic value comprises:
based on a cell value scoring formula, substituting a cell income value, a cell user value and a cell service quantity value into the cell value scoring formula, and calculating a cell value score;
the cell value score formula is: t isn＝Std(An)+Std(Bn)+Std(Cn) Wherein, the Std (A)n) For normalized cell revenue values, the Std (B)n) For normalized cell user values, the Std (C)n) Is a standardized cell traffic value.
6. A network quality assessment apparatus based on user perception, comprising:
the acquisition module is used for acquiring the user identification of the target user;
a determining module, configured to determine, according to the user identifier of the target user, a cell identifier list corresponding to the target user from a service detail list of the target user, where the service detail list includes a voice detail list and/or a data detail list;
the determining module is further configured to determine a user perception score of a cell in the cell identifier list according to the weight coefficient of the network quality derogation point and the network quality indicator score corresponding to the network quality derogation point; the weighting coefficient of the network quality derogation point is used for representing the specific gravity of the user for each network quality derogation point score; the specific weight of the network quality derogation point score is the frequency of the user's mention of each network quality derogation point.
7. The apparatus of claim 6, wherein the determining module is specifically configured to:
based on a user perception score calculation formula, substituting the weight coefficient of the network quality derogation point and the network quality index score corresponding to the network quality derogation point into the user perception score calculation formula, and calculating the user perception score of the cell in the cell identification list;
the user perception score calculation formula is as follows:
wherein, F isnA user perception score for cell n, said PiWeight coefficient for network depreciation point i, said KiAnd obtaining the network quality index score corresponding to the network quality derogation point i.
8. The apparatus of claim 6, further comprising:
a ranking module to prioritize cells in the list of cells based on the user perception scores; wherein, the high or low of the priority is used for indicating the network quality in the cell.
9. The apparatus of claim 8,
the determining module is further used for determining a cell value score according to the cell income value, the cell user value and the cell service quantity value;
the sorting module is specifically configured to:
forming the user perception score and the cell value score into a coordinate point;
carrying out priority sequencing on the cells in the cell list according to the positions of the coordinate points in the quadrants;
the user perception score serves as a horizontal coordinate, the cell value score serves as a vertical coordinate, and the coordinate origin value is formed by a preset user perception score and a preset cell value score.
10. The apparatus of claim 9, wherein the determining module is specifically configured to:
based on a cell value scoring formula, substituting a cell income value, a cell user value and a cell service quantity value into the cell value scoring formula, and calculating a cell value score;
the cell value score formula is: t isn＝Std(An)+Std(Bn)+Std(Cn) Wherein, the Std (A)n) For normalized cell revenue values, the Std (B)n) For normalized cell user values, the Std (C)n) Is a standardized cell traffic value.
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| CN112834725A (en) * | 2019-11-25 | 2021-05-25 | 中国石油天然气股份有限公司 | Rock drillability prediction method, device and system |
| CN112996011B (en) * | 2019-12-12 | 2022-12-16 | 中国移动通信集团吉林有限公司 | Cell value evaluation method, device, computer equipment and readable storage medium |
| CN114390556B (en) * | 2020-10-21 | 2023-07-07 | 中国联合网络通信集团有限公司 | Method and device for determining rectification scheme |
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