Wireless network problem diagnosis method and apparatus

By acquiring location information and MDT data in the wireless network and calculating the sampling point ratio, the problem of low efficiency in wireless network diagnosis in the existing technology is solved, realizing grid-level automated network coverage and service-aware diagnosis, and improving diagnostic efficiency and accuracy.

CN117835311BActive Publication Date: 2025-12-09CHINA UNITED NETWORK COMM GRP CO LTD
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Patent Information

Application Number
CN202410006591.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-01-02
Publication Date
2025-12-09
Estimated Expiration
2044-01-02

AI Technical Summary

Technical Problem

Existing wireless network problem diagnosis methods mainly focus on the base station cell level, making it difficult to achieve automated diagnosis of grid-level network coverage and service awareness problems, resulting in low diagnostic efficiency and a lack of consistency.

Method used

By acquiring the latitude and longitude information of the location to be detected, matching the target grid, and using MDT data to obtain the cell identifier, grid number and coverage level, calculating the sampling point ratio, and combining preset thresholds and distances to determine network coverage and service perception issues, automated diagnosis is achieved.

Benefits of technology

It improves the efficiency of wireless network problem detection, enables grid-level automated diagnosis, saves time, and improves the accuracy and consistency of diagnosis.

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Abstract

The application provides a wireless network problem diagnosis method and device. The method comprises the following steps: acquiring the latitude and longitude information of a position to be detected, and matching a target grid in a plurality of grids included in a current area according to the latitude and longitude information of the position; acquiring MDT data of MDT sampling points of the target grid, the MDT data carrying a target number of collection information obtained at different times, the collection information comprising a cell identifier, a grid number and a cell coverage level; acquiring a sampling point proportion of an actual number of collection information of each cell covering the target grid in the target number according to the MDT data; and judging whether the target grid has a network problem according to the sampling point proportion of each cell covering the target grid and the MDT data, the network problem comprising a network coverage problem and / or a service awareness problem. The method of the application realizes automatic diagnosis of a grid-level wireless network in terms of service awareness and network coverage, and improves the efficiency of network problem discovery.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless network, in particular to a wireless network problem diagnosis method and device. BACKGROUND

[0002] With the development of wireless network technology, the scale of wireless network is also expanding, and various network problems frequently occur.

[0003] Traditional mobile network testing mainly discovers existing network problems through manual testing, or diagnoses network problems by analyzing associated cells, which is time-consuming and laborious. In the existing network problem diagnosis method, more network problems are at the base station cell level, and are not implemented at the grid level network problem diagnosis.

[0004] Therefore, a suitable wireless network problem diagnosis method is needed to analyze and diagnose network problems such as grid-level service awareness and network coverage. SUMMARY

[0005] The present application provides a wireless network problem diagnosis method and device, which realizes the automatic diagnosis of grid-level wireless network in terms of service awareness and network coverage, and improves the efficiency of network problem discovery.

[0006] In a first aspect, the present application provides a wireless network problem diagnosis method, comprising:

[0007] Obtain the latitude and longitude information of a to-be-detected position, and match a target grid in a plurality of grids included in a current area according to the latitude and longitude information of the position, the position being located in the target grid;

[0008] Obtain MDT data of MDT sampling points of the target grid, the MDT data carrying a target number of collection information obtained at different times, the collection information including cell identifier, grid number, and cell coverage level;

[0009] According to the MDT data, obtain a sampling point proportion of an actual number of collection information of each cell covering the target grid relative to the target number;

[0010] According to the sampling point proportion of each cell covering the target grid and the MDT data, determine whether the target grid has a network problem, the network problem including a network coverage type problem and / or a service awareness type problem.

[0011] In a possible design, the determining whether the target grid has a network problem according to the sampling point proportion of each cell covering the target grid and the MDT data comprises:

[0012] Sort the sampling point proportion of the plurality of cells in order from high to low, obtain the plurality of target cells ranked in front of N and the arrangement order of the N target cells, the N being a positive integer;

[0013] According to the arrangement order of the N target cells, obtain a first cell ranked in the first place, and determine whether the sampling point proportion of the first cell is greater than a first preset threshold value;

[0014] If greater than the first preset threshold value, determine whether the cell coverage level of the first cell is greater than a second preset threshold value;

[0015] If yes, the target grid has no network coverage type problem;

[0016] If no, determine whether the target grid has a network coverage type problem according to the distance between the target grid and the first cell.

[0017] In a possible design, the determining whether the target grid has a network coverage type problem according to the distance between the target grid and the first cell includes:

[0018] If the distance between the target grid and the first cell is greater than a first preset distance, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically a base station lack problem;

[0019] If the distance between the target grid and the first cell is less than or equal to the first preset distance, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically a sky feed problem.

[0020] In a possible design, if the sampling point proportion of the first cell is less than or equal to the first preset threshold value, the method further includes:

[0021] According to the arrangement order of the N target cells, obtain a second cell ranked in the second place;

[0022] Determine whether the sum of the sampling point proportions of the first cell and the second cell is greater than the first preset threshold value;

[0023] If the sum is greater than the first preset threshold value, determine whether the cell coverage level of the first cell is greater than the cell coverage level of the second cell;

[0024] If yes, the target grid has no network coverage type problem;

[0025] If no, determine whether the target grid has a network coverage type problem according to the distances between the target grid and the first cell and the second cell respectively.

[0026] In a possible design, the determining, according to distances of the target grid from the first cell and the second cell respectively, whether the target grid has a network coverage type problem includes the following steps.

[0027] determining whether the distance of the target grid from the second cell is greater than the distance of the target grid from the first cell;

[0028] if yes, sending first checking information, the first checking information being used to indicate checking whether the second cell has an antenna feeder problem;

[0029] if no, sending second checking information, the second checking information being used to indicate performing neighbor cell checking on the first cell and the second cell.

[0030] In a possible design, if the sum value is less than or equal to the first preset threshold, the method further includes the following steps.

[0031] obtaining a third cell ranked third according to the arrangement order of the N target cells;

[0032] determining whether a sum value of sampling point proportions of the first cell, the second cell and the third cell is greater than a third preset threshold, the third preset threshold being greater than the first preset threshold;

[0033] if the sum value is greater than the third preset threshold, determining whether cell coverage levels of the third cell are all greater than cell coverage levels of the first cell and the second cell;

[0034] if no, the target grid has no network coverage type problem;

[0035] if yes, sending third checking information, the third checking information being used to indicate performing neighbor cell checking and antenna feeder checking on the first cell, the second cell and the third cell respectively.

[0036] In a possible design, if the sum value is less than or equal to the third preset threshold, the method further includes the following steps.

[0037] obtaining a level weight value of each cell according to a sampling point proportion of each cell covering the target grid;

[0038] performing weighted summation according to cell coverage levels of each cell and corresponding level weight values, to obtain a target level of the target grid;

[0039] determining whether the target level is higher than a fourth preset threshold;

[0040] if yes, determining to perform network optimization;

[0041] If not, a target distance between a cell closest to the target grid and the target grid is obtained;

[0042] If the target distance is greater than a second preset distance, it is determined whether to supplement a base station, and if the target distance is less than the second preset distance, network optimization is performed.

[0043] In a possible design, the determining whether the grid has a network problem according to the sampling point proportion of each cell of the target grid and the MDT data comprises:

[0044] According to the sampling point proportion of each cell covering the target grid, a weight of each cell for a service awareness index is determined;

[0045] For each service awareness index, a weighted value of the service awareness index is obtained according to a service awareness index value of each cell and a corresponding weight.

[0046] For a plurality of service awareness indexes, it is determined whether there is a target awareness index that does not meet a preset condition, wherein each service awareness index corresponds to a respective preset condition;

[0047] If there is, a fourth cell with the highest sampling point proportion is obtained according to the sampling point proportion of each cell of the target grid.

[0048] According to coverage information of the fourth cell, a service awareness type problem is determined, and the coverage information comprises at least one of a cell coverage level, a load, and interference of the fourth cell.

[0049] In a possible design, the determining the service awareness type problem according to the coverage information of the fourth cell comprises:

[0050] It is determined whether the level of the fourth cell is higher than a fifth preset threshold;

[0051] If the level is higher than the fifth preset threshold, it is determined whether the load is higher than a preset load;

[0052] If the load is higher than the preset load, the service awareness type problem is a capacity expansion problem;

[0053] If the load is lower than or equal to the preset load, it is determined whether the neighboring cell interference is high interference;

[0054] If the neighboring cell interference is high interference, the service awareness type problem is an interference troubleshooting problem;

[0055] If the neighboring cell interference is not high interference, it is determined whether there is PCI interference, if there is PCI interference, the service awareness type problem is a PCI modification problem, and if there is no PCI interference, other problem checking is performed.

[0056] In a possible design, if the level of the fourth cell is lower than or equal to a fifth preset threshold, the method further includes:

[0057] determining whether a distance between the fourth cell and the target grid is greater than a third preset distance;

[0058] if yes, determining that a network coverage type problem exists, and the network coverage type problem is specifically a base station type problem;

[0059] if no, determining that a network coverage type problem exists, and the network coverage type problem is specifically a feeder problem.

[0060] In a second aspect, the present application provides a wireless network problem diagnosis device, including:

[0061] a position information acquisition module, configured to acquire longitude and latitude information of a position to be detected, and match a target grid in a plurality of grids included in a current area according to the longitude and latitude information of the position, the position being located in the target grid;

[0062] an MDT data acquisition module, configured to acquire MDT data of an MDT sampling point of the target grid, the MDT data carrying a target number of collection information obtained at different times, the collection information including a cell identifier, a grid number, and a cell coverage level;

[0063] a sampling point proportion acquisition module, configured to acquire, according to the MDT data, a sampling point proportion of an actual number of collection information of each cell covering the target grid relative to the target number;

[0064] a judgment module, configured to judge, according to the sampling point proportion of each cell covering the target grid and the MDT data, whether the target grid has a network problem, the network problem including a network coverage type problem and / or a service awareness type problem.

[0065] In a possible design, the network coverage type problem diagnosis module is configured to:

[0066] sort the sampling point proportions of the plurality of cells according to a high-to-low order, acquire a plurality of target cells in a front N and an arrangement order of the N target cells, the N being a positive integer;

[0067] acquire, according to the arrangement order of the N target cells, a first cell in a first position, and judge whether the sampling point proportion of the first cell is greater than a first preset threshold;

[0068] if the sampling point proportion of the first cell is greater than the first preset threshold, judge whether a cell coverage level of the first cell is greater than a second preset threshold;

[0069] If yes, the target grid has no network coverage type problem;

[0070] If no, according to the distance between the target grid and the first cell, it is determined whether the target grid has a network coverage type problem.

[0071] In a possible design, the network coverage type problem diagnosis module is further specifically configured to:

[0072] If the distance between the target grid and the first cell is greater than a first preset distance, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically a base station lack problem;

[0073] If the distance between the target grid and the first cell is less than or equal to the first preset distance, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically a sky feed problem.

[0074] In a possible design, the network coverage type problem diagnosis module is further specifically configured to:

[0075] According to the arrangement order of the N target cells, a second cell arranged in a secondary position is acquired;

[0076] It is determined whether a sum value of sampling point proportions of the first cell and the second cell is greater than a first preset threshold value;

[0077] If the sum value is greater than the first preset threshold value, it is determined whether a cell coverage level of the first cell is greater than a cell coverage level of the second cell;

[0078] If yes, the target grid has no network coverage type problem;

[0079] If no, according to distances between the target grid and the first cell and the second cell respectively, it is determined whether the target grid has a network coverage type problem.

[0080] In a possible design, the network coverage type problem diagnosis module is further specifically configured to:

[0081] It is determined whether the distance between the target grid and the second cell is greater than the distance between the target grid and the first cell;

[0082] If yes, first check information is sent, and the first check information is used to indicate checking whether the second cell has a sky feed problem;

[0083] If no, second check information is sent, and the second check information is used to indicate performing neighbor cell checking on the first cell and the second cell.

[0084] In a possible design, the network coverage type problem diagnosis module is further specifically configured to:

[0085] According to the arrangement order of the N target cells, a third cell ranked third is acquired;

[0086] It is judged whether a sum value of sampling point proportions of the first cell, the second cell and the third cell is greater than a third preset threshold value, the third preset threshold value being greater than the first preset threshold value;

[0087] If the sum value is greater than the third preset threshold value, it is judged whether cell coverage levels of the third cell are all greater than cell coverage levels of the first cell and the second cell;

[0088] If not, the target grid has no network coverage type problem;

[0089] If yes, third verification information is sent, the third verification information being used for instructing to perform neighbor cell verification and antenna and feeder verification on the first cell, the second cell and the third cell respectively.

[0090] In a possible design, the network coverage type problem diagnosis module is further specifically configured to:

[0091] According to sampling point proportions of each cell covering the target grid, a level weight value of each cell is acquired;

[0092] According to cell coverage levels of each cell and corresponding level weight values, weighted summation is performed to obtain a target level of the target grid;

[0093] It is judged whether the target level is higher than a fourth preset threshold value;

[0094] If yes, network optimization is determined to be performed;

[0095] If not, a target distance between a cell closest to the target grid and the target grid is acquired;

[0096] If the target distance is greater than a second preset distance, it is determined whether a base station is to be supplemented, and if the target distance is less than the second preset distance, network optimization is performed.

[0097] In a possible design, the service awareness type problem diagnosis module is configured to:

[0098] According to sampling point proportions of each cell covering the target grid, a weight of each cell for a service awareness index is determined;

[0099] For each service awareness index, according to a service awareness index value of each cell and a corresponding weight, a weighted value of the service awareness index is acquired.

[0100] For a plurality of service perception indexes, it is judged whether there is a target perception index that does not meet a preset condition, wherein each service perception index corresponds to a respective preset condition;

[0101] If there is, a fourth cell with the highest sampling point proportion is obtained according to the sampling point proportion of each cell of the target grid;

[0102] According to the coverage information of the fourth cell, a service perception type problem is determined, and the coverage information includes at least one of the cell coverage level, load and interference of the fourth cell.

[0103] In a possible design, the service perception type problem diagnosis module is further specifically configured to:

[0104] It is judged whether the level of the fourth cell is higher than a fifth preset threshold;

[0105] If the level is higher than the fifth preset threshold, it is judged whether the load is higher than a preset load;

[0106] If the load is higher than the preset load, the service perception type problem is an expansion problem;

[0107] If the load is lower than or equal to the preset load, it is judged whether the neighboring cell interference is high interference;

[0108] If the neighboring cell interference is high interference, the service perception type problem is an interference troubleshooting problem;

[0109] If the neighboring cell interference is not high interference, it is judged whether there is PCI interference, if there is PCI interference, the service perception type problem is a PCI modification problem, and if there is no PCI interference, other problems are checked.

[0110] In a possible design, the service perception type problem diagnosis module is further specifically configured to:

[0111] It is judged whether the distance between the fourth cell and the target grid is greater than a third preset distance;

[0112] If yes, it is determined that there is a network coverage type problem, and the network coverage type problem is specifically a base station lack problem;

[0113] If no, it is determined that there is a network coverage type problem, and the network coverage type problem is specifically a sky feed problem.

[0114] In a third aspect, the present application provides a wireless network problem diagnosis device, comprising at least one processor and a memory;

[0115] The memory stores computer execution instructions;

[0116] The at least one processor executes the computer-executed instructions stored in the memory, so that the at least one processor executes the wireless network problem diagnosis method as described in the first aspect and various possible designs of the first aspect.

[0117] In a fourth aspect, a computer-readable storage medium is provided, and the computer-readable storage medium stores computer-executed instructions. When a processor executes the computer-executed instructions, the wireless network problem diagnosis method as described in the first aspect and various possible designs of the first aspect is implemented.

[0118] The present application provides a wireless network problem diagnosis method and device. The method includes obtaining the longitude and latitude information of a to-be-detected position, and matching a target grid in a plurality of grids included in a current area according to the longitude and latitude information of the position; obtaining MDT data of MDT sampling points of the target grid, the MDT data carrying a target number of collection information obtained at different times, the collection information including a cell identifier, a grid number, and a cell coverage level; obtaining a sampling point proportion of an actual number of collection information of each cell covering the target grid according to the MDT data; and judging whether the target grid has a network problem according to the sampling point proportion of each cell covering the target grid and the MDT data, the network problem including a network coverage problem and / or a service awareness problem. The method of the present application realizes automatic diagnosis of a grid-level wireless network in terms of service awareness and network coverage, and improves the efficiency of network problem discovery. BRIEF DESCRIPTION OF DRAWINGS

[0119] The accompanying drawings, which are incorporated herein and form part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0120] Figure 1 The wireless network problem diagnosis method provided by the embodiment of the present application Figure One ;

[0121] Figure 2 The wireless network problem diagnosis method provided by the embodiment of the present application Figure Two ;

[0122] Figure 3 The wireless network problem diagnosis method provided by the embodiment of the present application Figure Three ;

[0123] Figure 4 The structure of the wireless network problem diagnosis device provided by the embodiment of the present application Figure One ;

[0124] Figure 5 The structure of the wireless network problem diagnosis device provided by the embodiment of the present application Figure Two ;

[0125] Figure 6 The hardware schematic diagram of the wireless network problem diagnosis device provided by the embodiment of the present application is shown.

[0126] The specific embodiments of the present application have been shown in the above drawings, and will be described in more detail hereinafter. These drawings and the written description are not intended to restrict the scope of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0127] The exemplary embodiments will be described in detail herein with reference to the accompanying drawings. Unless otherwise indicated, the same numbers on different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments are not meant to represent all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the appended claims.

[0128] Daily mobile network problems are mainly found by professional technicians through testing, but manual network problem judgment needs to consume a lot of time and energy, and when the network problem scale is large, manual judgment can become very difficult and time-consuming. On the other hand, different technicians may make judgments according to different experiences and standards when judging network problems, so that the judgment results lack consistency. In view of the problems of low efficiency and lack of consistency in traditional manual network problem judgment, the present application designs a wireless network problem diagnosis method, acquires a target grid to which a to-be-monitored position belongs, judges network problems existing in the target grid according to an MDT sampling point proportion and MDT data of a cell covering the target grid, saves the time of network problem diagnosis, and improves the network problem discovery efficiency.

[0129] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments. The embodiments of the present application will be described below with reference to the drawings.

[0130] Figure 1 The wireless network problem diagnosis method flow provided by the embodiment of the present application Figure One As shown in the figure, the method comprises: Figure 1

[0131] S101, acquiring the latitude and longitude information of a to-be-detected position, and matching a target grid in a plurality of grids included in a current area according to the latitude and longitude information of the position, the position being located in the target grid;​

[0132] In this embodiment, when judging the wireless network problem of the to-be-monitored position, the latitude and longitude information of the to-be-monitored position needs to be acquired first, and the grid to which the to-be-monitored position belongs is matched in a plurality of grids in the current area according to the latitude and longitude information of the to-be-monitored position. For example, the area where the user is located is a playground, which is divided into a plurality of grids, and each grid is a 50m*50m sub-area. When performing wireless network problem diagnosis, the target grid to which the user position belongs can be screened from the plurality of grids of the playground according to the latitude and longitude of the user.

[0133] S102, acquiring MDT data of an MDT sampling point of the target grid, the MDT data carrying a target number of collection information obtained by sampling at different times, the collection information including a cell identifier, a grid number, and a cell coverage level;

[0134] MDT (Minimization of Drive-Tests) is a technology for automatically collecting terminal position measurement data through a terminal to realize automatic test data collection. An MDT sampling point is a place where terminal position measurement data is collected through MDT technology. MDT data refers to terminal position measurement data collected through MDT technology, including the latitude and longitude of the terminal, signal strength, and other parameters, which are used to evaluate network quality and solve network problems. In this embodiment, the user terminal is in the target grid, and the MDT technology is used to sample at the to-be-monitored position at a preset time interval to obtain MDT data of the target grid at different times. Specifically, the MDT data carries a target number of collection information obtained by sampling at different times, and each collection information includes a cell identifier, a grid number, and a cell coverage level. For example, when MDT sampling is performed, the user terminal occupies the signal of cell A at this time, and the collection information of this time includes the cell identifier of cell A, the grid number of the target grid, and the cell coverage level of cell A in the target grid. Similarly, MDT sampling is performed at a preset time interval in the target grid to obtain a target number of collection information, and finally the MDT data collected by the user terminal is obtained.

[0135] S103, according to the MDT data, acquiring a sampling point proportion of an actual number of collection information of each cell covering the target grid to the target number;

[0136] The MDT data includes a plurality of collection information, each of which includes a cell identifier occupied by the user terminal when performing MDT sampling. The proportion of sampling points of each cell covering the target grid is obtained according to the proportion of the actual number of collection information of each cell covering the target grid in the target number. Specifically, the actual number of collection information of each cell can be calculated according to the cell identifier in all collection information, and then the proportion of sampling points of each cell is obtained by dividing the actual number of collection information of each cell by the target number.

[0137] In S104, whether the target grid has a network problem is determined according to the proportion of sampling points of each cell covering the target grid and the MDT data. The network problem includes a network coverage problem and / or a service awareness problem.

[0138] Further, whether the target grid has a network problem is determined according to the proportion of sampling points of each cell covering the target grid and the MDT data. In this embodiment, the network problem includes a network coverage problem and / or a service awareness problem. Specifically, the network coverage problem is mainly related to the network signal coverage range, involving the configuration and performance of devices such as base stations, antennas, and feeder lines; the service awareness problem is mainly related to the user's experience of using network services, involving the quality, stability, and availability of the network. For example, the cell with the highest proportion of sampling points can be taken as the main coverage cell of the target grid, and whether the target grid has a network problem is determined according to the cell coverage level of the main coverage cell in the target grid. If there is a network problem, the type of network problem of the target grid can be determined according to the distance of the target grid from the main coverage cell. If the distance of the target grid from the main coverage cell exceeds a certain threshold, the type of network problem of the target grid is determined as a network coverage problem. On the other hand, the service awareness problem of the target grid can be determined according to the online experience of the user terminal, such as the video download rate.

[0139] The wireless network problem diagnosis method provided in the embodiment comprises the steps of: obtaining the longitude and latitude information of a position to be detected; matching a target grid in a plurality of grids included in a current area according to the longitude and latitude information of the position, wherein the position is located in the target grid; obtaining MDT data of MDT sampling points of the target grid, wherein the MDT data carries a target number of collection information obtained at different times, and the collection information comprises a cell identifier, a grid number and a cell coverage level; obtaining a sampling point proportion of an actual number of collection information of each cell covering the target grid relative to the target number according to the MDT data; and judging whether the target grid has a network problem according to the sampling point proportion of each cell covering the target grid and the MDT data, wherein the network problem comprises a network coverage problem and / or a service awareness problem. The method provided in the embodiment realizes automatic diagnosis of a grid-level wireless network in terms of service awareness and network coverage, improves the efficiency of network problem discovery, and saves labor costs.

[0140] Figure 2 The wireless network problem diagnosis method provided in the embodiment Figure Two . As shown in Figure 2 , the embodiment is based on the above-mentioned embodiment and details the network coverage problem diagnosis process.

[0141] S201, sorting the sampling point proportions of the plurality of cells in descending order to obtain a plurality of target cells in the top N and the arrangement order of the N target cells, wherein the N is a positive integer;

[0142] In the embodiment, after obtaining the sampling point proportions of each cell covering the target grid, the sampling point proportions of all cells are sorted in descending order to obtain a descending sequence of the sampling point proportions of all cells covering the target grid, and then the plurality of target cells in the top N and the arrangement order of the N target cells are obtained according to actual requirements. For example, there are 10 cells covering the target grid, and the 10 cells are sorted in descending order according to the sampling point proportions, and then the top 3 cells are obtained as the target cells.

[0143] S202, obtaining a first cell in the top position according to the arrangement order of the N target cells, and judging whether the sampling point proportion of the first cell is greater than a first preset threshold value, if yes, performing S203, and if no, performing S207;

[0144] Further, for the N target cells, the cell ranked first is taken as a first cell, and then it is judged whether the sampling point proportion of the first cell is greater than a first preset threshold. The first preset threshold can be set to 60%. If the sampling point proportion of the first cell is greater than the first preset threshold, it is considered that the influence of the first cell on the target grid is large, and then the network coverage type problem can be further judged through the cell coverage level of the first cell or the distance between the first cell and the target grid. If the sampling point proportion of the first cell is not greater than the first preset threshold, S207 is performed.

[0145] S203, it is judged whether the cell coverage level of the first cell is greater than a second preset threshold. If yes, the target grid has no network coverage type problem; if no, S204 is performed.

[0146] S204, it is judged whether the distance between the target grid and the first cell is greater than a first preset distance. If yes, S205 is performed; if no, S206 is performed.

[0147] S205, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically a base station lack problem.

[0148] S206, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically an antenna feeder problem.

[0149] The cell coverage level refers to the level value of the signal strength of the cell base station covering the target grid. Whether the cell coverage level of the first cell is greater than the second preset threshold can judge whether the cell coverage level of the first cell in the target grid reaches a certain strength. If the cell coverage level of the first cell is greater than the second preset threshold, it is considered that the target grid has no network coverage type problem. If the cell coverage level of the first cell is not greater than the second preset threshold, it is considered that the target grid has a network coverage type problem, and the type of the network coverage type problem needs to be further confirmed. In the specific implementation process, whether the distance between the target grid and the first cell is greater than the first preset distance can judge whether the distance between the target grid and the first cell is too far. If the distance between the target grid and the first cell is greater than the first preset distance, it is considered that the distance between the target grid and the first cell is too large, that is, the target grid lacks a base station, and then it is considered that the network coverage type problem of the target grid is specifically a base station lack problem. If the distance between the target grid and the first cell is not greater than the first preset distance, it is considered that the target grid does not lack a base station, but the cell coverage level of the first cell does not meet the condition, and it is possible that the antenna feeder of the first cell has a problem, which needs to be checked and optimized. Then, it is considered that the target grid has a network coverage type problem and the network coverage type problem is specifically an antenna feeder problem.

[0150] S207, according to the arrangement order of the N target cells, a second cell ranked second is obtained.

[0151] S208, judge whether the sum of the sampling point proportions of the first cell and the second cell is greater than the first preset threshold value, if yes, execute S209, if not, execute S213;

[0152] S209, judge whether the cell coverage level of the first cell is greater than the cell coverage level of the second cell, if yes, the target grid has no network coverage class problem, if not, execute S210;

[0153] When the sampling point proportion of the first cell does not satisfy the first preset threshold value, according to the arrangement order of the N target cells, the cell arranged in the second place is taken as the second cell, and then it is judged whether the sum of the sampling point proportions of the first cell and the second cell is greater than the first preset threshold value, if the sum of the sampling point proportions of the first cell and the second cell is greater than the first preset threshold value, it is judged whether the cell coverage level of the first cell is greater than the cell coverage level of the second cell, if yes, it is considered that the network coverage of the target grid is normal, if not, it is considered that the first cell and the second cell have network coverage class problem, which needs further judgment.

[0154] S210, judge whether the distance between the target grid and the second cell is greater than the distance between the target grid and the first cell, if yes, execute S211, if not, execute S212;

[0155] S211, send first checking information, the first checking information is used to indicate checking whether the second cell has antenna feeder problem;

[0156] S212, send second checking information, the second checking information is used to indicate performing neighbor cell checking on the first cell and the second cell.

[0157] In the case that the cell coverage level of the second cell is greater than the cell coverage level of the first cell, if the distance between the target grid and the second cell is greater than the distance between the target grid and the first cell, the first checking information needs to be sent, specifically, the first checking information considers that the antenna feeder of the second cell has problem, needs to check and optimize the antenna feeder, and considers that the target grid has network coverage class problem and the specific problem is antenna feeder problem; if the distance between the target grid and the second cell is not greater than the distance between the target grid and the first cell, the second checking information needs to be sent, specifically, it is considered that the first cell and the second cell are not set with neighbor cell interaction, and the neighbor cell checking needs to be performed on the first cell and the second cell.

[0158] S213, according to the arrangement order of the N target cells, obtain a third cell arranged in the third place;

[0159] S214, determine whether the sum of the sampling point proportions of the first cell, the second cell and the third cell is greater than a third preset threshold value, if yes, execute S215, if no, execute S217;

[0160] Further, in the case that the sum of the sampling point proportions of the first cell and the second cell is less than or equal to the first preset threshold value, according to the arrangement order of the N target cells, the cell arranged in the third position is taken as the third cell, and then it is determined whether the sum of the sampling point proportions of the first cell, the second cell and the third cell is greater than a third preset threshold value, the third preset threshold value being greater than the first preset threshold value.

[0161] S215, determine whether the cell coverage levels of the third cell are all greater than the cell coverage levels of the first cell and the second cell, if no, the target grid has no network coverage type problem, if yes, execute S216;

[0162] S216, send third checking information, the third checking information being used to indicate that the first cell, the second cell and the third cell are respectively subjected to neighbor cell checking and antenna and feeder checking.

[0163] If the sum of the sampling point proportions of the first cell, the second cell and the third cell is greater than the third preset threshold value, it is determined whether the cell coverage levels of the third cell are all greater than the cell coverage levels of the first cell and the second cell, if no, it is considered that the target grid has no network coverage type problem, if yes, third checking information needs to be sent, specifically, it is considered that the first cell, the second cell and the third cell may not be set with neighbor cell interaction or there is an antenna and feeder problem, and the first cell, the second cell and the third cell need to be subjected to neighbor cell checking and antenna and feeder checking.

[0164] S217, according to the sampling point proportions of each cell covering the target grid, obtain a level weight value of each cell;

[0165] S218, according to the cell coverage level of each cell and the corresponding level weight value, perform weighted summation to obtain a target level of the target grid.

[0166] In the case that the sum of the sampling point proportions of the first cell, the second cell and the third cell is less than the third preset threshold value, it is considered that the target grid has no main coverage cell. Further, according to the sampling point proportions of each cell covering the target grid, a level weight value of each cell is obtained. Since the higher the cell sampling point proportion, the greater the influence of the cell on the target grid, therefore, the value of the sampling point proportion of each cell can be taken as the level weight value. For example, among the cells covering the target grid, the sampling point proportion of A cell is 30%, and the level weight value of A cell is 30%. Then, according to the cell coverage level of each cell and the corresponding level weight value, weighted summation is performed to finally obtain the target level of the target grid.

[0167] S219, judging whether the target level is higher than a fourth preset threshold, if yes, determining to perform network optimization, if no, performing S220;

[0168] S220, acquiring a target distance between a cell closest to the target grid and the target grid;

[0169] S221, if the target distance is greater than a second preset distance, determining whether to supplement a base station, if the target distance is less than the second preset distance, performing network optimization.

[0170] In the implementation process, after the target level of the target grid is acquired, it is judged whether the target level is higher than the fourth preset threshold, if the target level is higher than the fourth preset threshold, it is considered that the cell signal of the target grid is relatively chaotic, the coverage of the target grid may be uneven, and the user may encounter a weak signal or no signal when communicating, resulting in unstable communication, therefore, network optimization is needed, for example, the received signal can be filtered, denoised, enhanced and the like, so as to reduce or eliminate the influence of interference, noise and other adverse factors, so as to obtain clearer and purer signal.

[0171] If the target level is not higher than the fourth preset threshold, the target distance between the cell closest to the target grid and the target grid is acquired, it is judged whether the target distance is greater than the second preset distance, if yes, it is considered that the cell closest to the target grid is too far from the target grid, that is, the target grid lacks a base station, and the network coverage problem of the target grid is specifically a base station lacking problem.

[0172] It should be noted that, in order to better illustrate the technical scheme, the number of target cells in the method provided in the embodiment is 3, however, it should be emphasized that the embodiment is only for the convenience of understanding, and does not represent the specific situation in the actual operation process, in the actual operation process, the number of target cells can be changed according to the actual situation and specific needs.

[0173] The wireless network problem diagnosis method provided in the embodiment gradually judges the network problem of the target grid according to the proportion of the sampling point of the target cell, further judges the specific network problem type of the target grid according to the level of the target cell and the distance from the target grid, and the specific network problem type includes a base station lacking problem or a feeder problem. The method provided in the embodiment realizes the automation of the type determination of the wireless network problem, accurately determines the type of the network problem, improves the diagnosis speed of the wireless network problem, and saves the time of discovering the network problem.

[0174] Figure 3 is the wireless network problem diagnosis method flow provided in the embodiment of the application Figure Three . As Figure 3As shown, the embodiment on the basis of the above embodiment, the service awareness type problem diagnosis process is explained in detail.

[0175] S301, according to the sampling point proportion of each cell covering the target grid, determine the weight of each cell for the service awareness index;

[0176] S302, for each service awareness index, according to the service awareness index value and the corresponding weight of each cell, the weighted value of the service awareness index is obtained.

[0177] In the embodiment, the service awareness index is an index for measuring and evaluating network service performance, including per cell TCP three handshake delay, RTT delay, Web response success rate, video download rate and other indexes. In the specific implementation process, according to the sampling point proportion of each cell covering the target grid, the weight of each cell for the service awareness index is determined, wherein the greater the sampling point proportion, the greater the influence of the corresponding cell on the target grid, therefore, when determining the weight of each cell for the service awareness index, the sampling point proportion can be used as the weight of the corresponding cell for the service awareness index. For example, if the sampling point proportion of B cell is 60%, the weight of the service awareness index of B cell is 60%. Further, for each service awareness index, according to the service awareness index value and the corresponding weight of each cell, the weighted value of the service awareness index is obtained. Exemplarily, the cells covering the target grid are C cell and D cell, wherein the sampling point proportion of C cell is 60%, the sampling point proportion of D cell is 30%, for the TCP three handshake delay, the TCP three handshake delay of C cell and D cell is obtained respectively, then the TCP three handshake delay of C cell and D cell is weighted and summed with the corresponding sampling point proportion, the weighted value of the TCP three handshake delay of the target grid is obtained.

[0178] S303, for a plurality of service awareness indexes, it is judged whether there is a target awareness index that does not meet the preset condition, wherein each service awareness index corresponds to a respective preset condition; if there is, S304 is executed, if there is not, the target grid has no service awareness type problem;

[0179] In the specific implementation process, after weighting and summing each index of the target grid, the weighted value of all indexes is obtained, it is judged whether there is an index weighted value that does not meet the preset condition, wherein each service awareness index corresponds to a respective preset condition. If all service awareness indexes meet the respective preset conditions, the target grid has no service awareness type problem, if there is a target awareness index that does not meet the preset condition, it means that the target grid has network problem, which needs to be further judged.

[0180] S304, acquiring a fourth cell with the highest proportion of sampling points according to the proportion of sampling points of each cell of the target grid;

[0181] Specifically, a cell with the highest proportion of sampling points of cells covering the target grid is selected as the fourth cell, and then the coverage information of the fourth cell is acquired, including at least one of the cell coverage level, the load, and the interference of the fourth cell. The load refers to the number of users or the processing capacity of network equipment in the cell. If the load is too large, it may cause network congestion, disconnection, and other problems. The interference refers to the mutual superposition and interference of signals of multiple cells, resulting in a decrease in signal quality.

[0182] S305, determining whether the level of the fourth cell is higher than a fifth preset threshold value, if yes, performing S306, if no, performing S311;

[0183] Further, it is determined whether the cell coverage level of the fourth cell is higher than the fifth preset threshold value, if higher than the fifth preset threshold value, the service awareness type problem of the target grid is further analyzed, if not higher than, it is determined that the fourth cell may have a network coverage type problem, which needs to be further determined.

[0184] S306, determining whether the load is higher than a preset load, if yes, performing S307, if no, performing S308;

[0185] S307, determining that the target grid has a service awareness type problem, and the service awareness type problem is specifically a capacity expansion problem;

[0186] In this embodiment, if the cell coverage level of the fourth cell is higher than the fifth preset threshold value, it is determined whether the load of the fourth cell is higher than the preset load, if higher than, the fourth cell needs to be expanded, it is determined that the target grid has a service awareness type problem, and the service awareness type problem is specifically a capacity expansion problem, if not higher than, further determination is performed.

[0187] S308, determining whether the neighboring cell interference is high interference, if yes, performing S309, if no, performing S310;

[0188] S309, determining that the target grid has a service awareness type problem, and the service awareness type problem is specifically an interference troubleshooting problem;

[0189] If the load of the fourth cell is not higher than the preset load, it is further determined whether the neighboring cell interference of the fourth cell is high interference, if it is high interference, it is determined that the target grid has a service awareness type problem, and the service awareness type problem is specifically an interference troubleshooting problem, if it is not high interference, further determination is performed.

[0190] S310, determining whether there is PCI interference, if there is PCI interference, the service awareness type problem is a PCI modification problem, if there is no PCI interference, other problem checking is performed.

[0191] If the above adjacent cell interference is not high interference, it is determined whether the fourth cell has PCI interference. The PCI interference is also called PCI mod 3 interference or mod 3 conflict, which is a common same frequency interference in the 4G network construction using FDD-LTE same frequency networking mode. It occurs when two or more adjacent cells use the same PCI mod 3, which can cause two or more reference signals to appear at the same time and at the same frequency location, thereby causing mutual interference of the reference signals and causing inaccurate channel measurement and other problems. If there is PCI interference, it is determined that the target grid has a service awareness type problem, and the service awareness type problem is a PCI modification problem, if there is no PCI interference, other problem checking is performed.

[0192] S311, determining whether the distance between the fourth cell and the target grid is greater than a third preset distance, if yes, performing S312, if no, performing S313;

[0193] S312, determining that there is a network coverage type problem, and the network coverage type problem is specifically a base station lack problem;

[0194] S313, determining that there is a network coverage type problem, and the network coverage type problem is specifically a sky feeder problem.

[0195] If the cell coverage level of the fourth cell is not higher than a fifth preset threshold, it indicates that the signal of the target grid is weak, and there may be a network coverage type problem. It is determined whether the distance between the fourth cell and the target grid is greater than a third preset distance, so as to determine the specific network coverage type problem. If the distance between the fourth cell and the target grid is greater than the third preset distance, it is considered that there is a lack of base station near the target grid, and the target grid has a network coverage type problem, and the network coverage type problem is specifically a base station lack problem. If the distance between the fourth cell and the target grid is not greater than the third preset distance, it is considered that there is no lack of base station near the target grid, and it is determined that there is a network coverage type problem, and the network coverage type problem is specifically a sky feeder problem.

[0196] The wireless network problem diagnosis method provided in the embodiment realizes diagnosis and analysis of the grid level service awareness type network problem, realizes automatic wireless network problem diagnosis, and improves the diagnosis efficiency of the wireless network problem.

[0197] Figure 4 Structure diagram of wireless network problem diagnosis device provided by the embodiment of the present application Figure One As shown in the figure, the wireless network problem diagnosis device 40 comprises a position information acquisition module 401, an MDT data acquisition module 402, a sampling point proportion acquisition module 403 and a judgment module 404. Figure 4

[0198] The position information acquisition module 401 is configured to acquire the longitude and latitude information of a position to be detected, and match a target grid in a plurality of grids included in a current area according to the longitude and latitude information of the position, wherein the position is located in the target grid.

[0199] The MDT data acquisition module 402 is configured to acquire MDT data of MDT sampling points of the target grid, wherein the MDT data carries target number of collection information obtained at different times, and the collection information comprises a cell identifier, a grid number and a cell coverage level.

[0200] The sampling point proportion acquisition module 403 is configured to acquire a sampling point proportion of an actual number of collection information of each cell covering the target grid relative to the target number according to the MDT data.

[0201] The judgment module 404 is configured to judge whether the target grid has a network problem according to the sampling point proportion of each cell covering the target grid and the MDT data, wherein the network problem comprises a network coverage type problem and / or a service awareness type problem.

[0202] The device provided by the embodiment can be used to execute the technical solutions of the method embodiments, and has similar implementation principles and technical effects, which will not be described here again.

[0203] Figure 5 Structure diagram of wireless network problem diagnosis device provided by the embodiment of the present application Figure Two As shown in the figure, the wireless network problem diagnosis device 40 comprises a position information acquisition module 401, an MDT data acquisition module 402, a sampling point proportion acquisition module 403 and a judgment module 404. Figure 5 Figure 4 On the basis of the embodiment, the embodiment further comprises a network coverage type problem diagnosis module 405 and a service awareness type problem diagnosis module 406.

[0204] In a possible design, the network coverage type problem diagnosis module 405 is configured to:

[0205] sort the sampling point proportions of the plurality of cells according to the sampling point proportions from high to low, acquire a plurality of target cells ranked in the front N and an arrangement order of the N target cells, wherein N is a positive integer.

[0206] ​​According to the arrangement order of the N target cells, a first cell ranked first is acquired, and it is judged whether a sampling point proportion of the first cell is greater than a first preset threshold value;

[0207] If greater than the first preset threshold value, it is judged whether a cell coverage level of the first cell is greater than a second preset threshold value;

[0208] If yes, the target grid has no network coverage type problem;

[0209] If no, according to distances of the target grid from the first cell, it is determined whether the target grid has a network coverage type problem.

[0210] In a possible design, the network coverage type problem diagnosis module 405 is further specifically configured to:

[0211] If the distance of the target grid from the first cell is greater than a first preset distance, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically a base station lack problem;

[0212] If the distance of the target grid from the first cell is less than or equal to the first preset distance, it is determined that the target grid has a network coverage type problem, and the network coverage type problem is specifically a skywire problem.

[0213] In a possible design, the network coverage type problem diagnosis module 405 is further specifically configured to:

[0214] According to the arrangement order of the N target cells, a second cell ranked second is acquired;

[0215] It is judged whether a sum of sampling point proportions of the first cell and the second cell is greater than the first preset threshold value;

[0216] If the sum is greater than the first preset threshold value, it is judged whether a cell coverage level of the first cell is greater than a cell coverage level of the second cell;

[0217] If yes, the target grid has no network coverage type problem;

[0218] If no, according to distances of the target grid from the first cell and the second cell respectively, it is determined whether the target grid has a network coverage type problem.

[0219] In a possible design, the network coverage type problem diagnosis module 405 is further specifically configured to:

[0220] It is judged whether the distance of the target grid from the second cell is greater than the distance of the target grid from the first cell;

[0221] If yes, first checking information is sent, the first checking information is used for indicating checking whether there is a problem of antenna feeder in the second cell;

[0222] If no, second checking information is sent, the second checking information is used for indicating performing neighbor cell checking on the first cell and the second cell.

[0223] In a possible design, the network coverage class problem diagnosis module 405 is further specifically configured to:

[0224] According to the arrangement order of the N target cells, a third cell arranged at the third position is acquired;

[0225] It is judged whether a sum value of sampling point proportions of the first cell, the second cell and the third cell is greater than a third preset threshold value, the third preset threshold value being greater than the first preset threshold value;

[0226] If the sum value is greater than the third preset threshold value, it is judged whether cell coverage levels of the third cell are all greater than cell coverage levels of the first cell and the second cell;

[0227] If no, the target grid has no network coverage class problem;

[0228] If yes, third checking information is sent, the third checking information is used for indicating performing neighbor cell checking and antenna feeder checking on the first cell, the second cell and the third cell respectively.

[0229] In a possible design, the network coverage class problem diagnosis module 405 is further specifically configured to:

[0230] According to sampling point proportions of each cell covering the target grid, a level weight value of each cell is acquired;

[0231] According to cell coverage levels of each cell and corresponding level weight values, weighted summation is performed to obtain a target level of the target grid;

[0232] It is judged whether the target level is higher than a fourth preset threshold value;

[0233] If yes, network optimization is determined to be performed;

[0234] If no, a target distance between a cell closest to the target grid and the target grid is acquired;

[0235] If the target distance is greater than a second preset distance, it is determined whether a base station is to be supplemented, and if the target distance is less than the second preset distance, network optimization is performed.

[0236] In a possible design, the service sensing class problem diagnosis module 406 is configured to:

[0237] determine a weight of each cell for a service perception index according to a proportion of sampling points of each cell covering the target grid;

[0238] For each service perception index, a weighted value of the service perception index is obtained according to a service perception index value of each cell and the corresponding weight.

[0239] For a plurality of service perception indexes, it is judged whether there is a target perception index that does not meet a preset condition, wherein each service perception index corresponds to a respective preset condition;

[0240] If there is, a fourth cell with the highest proportion of sampling points is obtained according to the proportion of sampling points of each cell of the target grid;

[0241] According to the coverage information of the fourth cell, a service perception type problem is determined, and the coverage information includes at least one of a cell coverage level, a load, and interference of the fourth cell.

[0242] In a possible design, the service perception type problem diagnosis module 406 is further specifically configured to:

[0243] It is judged whether the level of the fourth cell is higher than a fifth preset threshold;

[0244] If the level is higher than the fifth preset threshold, it is judged whether the load is higher than a preset load;

[0245] If the load is higher than the preset load, the service perception type problem is an expansion problem;

[0246] If the load is lower than or equal to the preset load, it is judged whether the neighboring cell interference is high interference;

[0247] If the neighboring cell interference is high interference, the service perception type problem is an interference troubleshooting problem;

[0248] If the neighboring cell interference is not high interference, it is judged whether there is PCI interference, if there is PCI interference, the service perception type problem is a PCI modification problem, and if there is no PCI interference, other problems are checked.

[0249] In a possible design, the service perception type problem diagnosis module 406 is further specifically configured to:

[0250] It is judged whether the distance between the fourth cell and the target grid is greater than a third preset distance;

[0251] If yes, it is determined that there is a network coverage type problem, and the network coverage type problem is specifically a base station lack problem;

[0252] If no, it is determined that there is a network coverage type problem, and the network coverage type problem is specifically a sky feed problem.

[0253] The device provided by the embodiment can be used to execute the technical solutions of the method embodiments, and has similar implementation principles and technical effects, which will not be described here again.

[0254] Figure 6 A hardware schematic diagram of the wireless network problem diagnosis device provided by the embodiment is shown in the figure. Figure 6 As shown in the figure, the wireless network problem diagnosis device 60 provided by the embodiment includes at least one processor 601 and a memory 602. The device 60 also includes a communication component 603. The processor 601, the memory 602 and the communication component 603 are connected through a bus 604.

[0255] In the specific implementation process, the at least one processor 601 executes the computer execution instructions stored in the memory 602, so that the at least one processor 601 executes the wireless network problem diagnosis method as described above.

[0256] The specific implementation process of the processor 601 can refer to the method embodiments described above, which has similar implementation principles and technical effects, and will not be described here again.

[0257] In the above-described Figure 6 In the embodiment shown in the figure, it should be understood that the processor can be a central processing unit (English: Central Processing Unit, for short: CPU), and can also be other general-purpose processors, digital signal processors (English: Digital Signal Processor, for short: DSP), application specific integrated circuits (English: Application Specific Integrated Circuit, for short: ASIC) and the like. The general-purpose processor can be a microprocessor, or the processor can be any conventional processor, etc. The steps of the method disclosed in the application can be directly embodied as the execution of the hardware processor, or executed by the combination of hardware and software modules in the processor.

[0258] The memory can include a high-speed RAM memory, and can also include a non-volatile storage NVM, such as at least one disk memory.

[0259] The bus can be an industry standard architecture (Industry Standard Architecture, ISA) bus, a peripheral component (Peripheral Component, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, the bus in the drawings of the present application does not limit only one bus or one type of bus.

[0260] The application further provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and when a processor executes the computer execution instructions, the wireless network problem diagnosis method is realized.

[0261] In several embodiments provided in the application, it should be understood that the disclosed devices and methods can be implemented in other manners. For example, the described device embodiments are merely illustrative. For example, the division of the modules is merely a logical function division. There can be another division manner for the actual implementation. For example, a plurality of modules or features can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or communication connection between modules can be indirect coupling or communication connection through some interface, device or module, and can be electrical, mechanical or in other forms.

[0262] The modules illustrated as separated components can or can not be physically separated, and the components illustrated as modules can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment.

[0263] In addition, each function module in each embodiment of the application can be integrated in one processing unit, or each module can be physically present separately, or two or more modules can be integrated in one unit. The unit formed by the above modules can be realized in the form of hardware, or in the form of hardware plus software function unit.

[0264] The integrated module realized in the form of software function module can be stored in a computer readable storage medium. The software function module stored in the storage medium includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to execute part of the steps of the method described in each embodiment of the application.

[0265] It should be understood that the above-mentioned processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the disclosed method can be directly embodied as hardware processor execution or combined with hardware and software modules in the processor for execution.

[0266] The memory can include a high-speed RAM memory, and can also include a non-volatile storage NVM, such as at least one disk memory, and can also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0267] The bus can be an industry standard architecture (ISA) bus, a peripheral component (PCI) bus, or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, the bus in the drawings of the present application does not limit to only one bus or one type of bus.

[0268] The above-mentioned storage medium can be realized by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0269] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware. The above-mentioned program can be stored in a computer readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the above-mentioned storage medium includes ROM, RAM, magnetic disk or optical disk and various storage medium that can store program codes.

[0270] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions recorded in the above embodiments can be modified, or some or all of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A wireless network problem diagnosis method characterized by, The method comprises the following steps: acquiring the latitude and longitude information of a position to be detected, and matching a target grid in a plurality of grids included in a current area according to the latitude and longitude information of the position, the position being located in the target grid; acquiring MDT data of MDT sampling points of the target grid, the MDT data carrying a target number of acquisition information obtained by sampling at different times, the acquisition information including a cell identifier, a grid number, and a cell coverage level; acquiring a sampling point proportion of an actual number of acquisition information of each cell covering the target grid in the target number according to the MDT data; judging whether the target grid has a network problem according to the sampling point proportion of each cell covering the target grid and the MDT data, the network problem including a network coverage problem and / or a service awareness problem; the judging whether the target grid has the network problem according to the sampling point proportion of each cell covering the target grid and the MDT data comprises: sorting the sampling point proportions of the plurality of cells in a descending order according to the sampling point proportions, acquiring a plurality of target cells ranked in the first N and an arrangement order of the N target cells, the N being a positive integer; acquiring a first cell ranked in the first place according to the arrangement order of the N target cells, and judging whether the sampling point proportion of the first cell is greater than a first preset threshold value; if the sampling point proportion of the first cell is less than or equal to the first preset threshold value, acquiring a second cell ranked in the second place according to the arrangement order of the N target cells, judging whether a sum of the sampling point proportions of the first cell and the second cell is greater than the first preset threshold value, if the sum is greater than the first preset threshold value, judging whether a cell coverage level of the first cell is greater than a cell coverage level of the second cell, if not, judging whether a distance between the target grid and the second cell is greater than a distance between the target grid and the first cell, if yes, sending first checking information, the first checking information being used to indicate checking whether the second cell has an antenna feeder problem, and if not, sending second checking information, the second checking information being used to indicate performing adjacent area checking on the first cell and the second cell if the sum is less than or equal to the first preset threshold value, acquiring a third cell ranked in the third place according to the arrangement order of the N target cells, judging whether a sum of the sampling point proportions of the first cell, the second cell and the third cell is greater than a third preset threshold value, the third preset threshold value being greater than the first preset threshold value, if the sum is greater than the third preset threshold value, judging whether the cell coverage level of the third cell is greater than the cell coverage levels of the first cell and the second cell, if not, the target grid has no network coverage problem, and if yes, sending third checking information, the third checking information being used to indicate performing adjacent area checking and antenna feeder checking on the first cell, the second cell and the third cell respectively.

2. The method of claim 1, wherein, if the sampling point proportion of the first cell is less than or equal to the first preset threshold value, the method further comprises: If greater than the first preset threshold, determining whether a cell coverage level of the first cell is greater than a second preset threshold; If yes, the target grid has no network coverage type problem; If no, determining whether the target grid has network coverage type problem according to a distance between the target grid and the first cell.

3. The method of claim 2, wherein, The determining whether the target grid has network coverage type problem according to the distance between the target grid and the first cell comprises: If the distance between the target grid and the first cell is greater than a first preset distance, it is determined that the target grid has network coverage type problem, and the network coverage type problem is specifically a base station lack type problem; If the distance between the target grid and the first cell is less than or equal to the first preset distance, it is determined that the target grid has network coverage type problem, and the network coverage type problem is specifically a feeder problem.

4. The method of claim 2, wherein, If the sum is greater than the first preset threshold, the method further comprises: Determining that the target grid has no network coverage type problem.

5. The method of claim 1, wherein, If the sum is less than or equal to the third preset threshold, the method further comprises: Obtaining a level weight value of each cell according to a sampling point proportion of each cell covering the target grid; Performing weighted summation on a cell coverage level of each cell and the corresponding level weight value to obtain a target level of the target grid; Determining whether the target level is higher than a fourth preset threshold; If yes, it is determined to perform network optimization; If no, obtaining a target distance between a cell closest to the target grid and the target grid; If the target distance is greater than a second preset distance, it is determined whether to supplement a base station, and if the target distance is less than the second preset distance, network optimization is performed.

6. A wireless network problem diagnostic device, characterized by Comprise: A position information acquisition module, configured to acquire longitude and latitude information of a position to be detected, and match a target grid in a plurality of grids included in a current area according to the longitude and latitude information of the position, the position being located in the target grid; An MDT data acquisition module, configured to acquire MDT data of MDT sampling points of the target grid, the MDT data carrying target quantity of acquisition information obtained at different times, the acquisition information comprising a cell identifier, a grid number and a cell coverage level; A sampling point proportion acquisition module, configured to acquire a sampling point proportion of actual quantity of acquisition information of each cell covering the target grid according to the MDT data. The judging module is used for judging whether the target grid has a network problem according to the sampling point proportion of each cell covering the target grid and the MDT data, comprising: sorting the sampling point proportions of the multiple cells in descending order of the sampling point proportions, obtaining the multiple target cells ranked in the front N and the arrangement order of the N target cells, the N being a positive integer; obtaining a first cell ranked in the first place according to the arrangement order of the N target cells, judging whether the sampling point proportion of the first cell is greater than a first preset threshold; if the sampling point proportion of the first cell is less than or equal to the first preset threshold, obtaining a second cell ranked in the second place according to the arrangement order of the N target cells; judging whether the sum of the sampling point proportions of the first cell and the second cell is greater than the first preset threshold; if the sum is greater than the first preset threshold, judging whether the cell coverage level of the first cell is greater than the cell coverage level of the second cell; if not, judging whether the distance between the target grid and the second cell is greater than the distance between the target grid and the first cell; if yes, sending first checking information, the first checking information being used for indicating checking whether the second cell has a problem of a satellite dish; if not, sending second checking information, the second checking information being used for indicating performing neighbor cell checking on the first cell and the second cell; if the sum is less than or equal to the first preset threshold, obtaining a third cell ranked in the third place according to the arrangement order of the N target cells; judging whether the sum of the sampling point proportions of the first cell, the second cell and the third cell is greater than a third preset threshold, the third preset threshold being greater than the first preset threshold; if the sum is greater than the third preset threshold, judging whether the cell coverage levels of the third cell are all greater than the cell coverage levels of the first cell and the second cell; if not, the target grid has no network coverage problem; if yes, sending third checking information, the third checking information being used for indicating performing neighbor cell checking and satellite dish checking on the first cell, the second cell and the third cell respectively; wherein the network problem comprises a network coverage problem and / or a service perception problem.

7. A wireless network problem diagnostic device, characterized by Comprise: At least one processor and a memory; The memory stores computer execution instructions; The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the wireless network problem diagnosis method in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, when the processor executes the computer execution instructions, the wireless network problem diagnosis method in any one of claims 1 to 5 is realized.

Citation Information

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