Station site integration evaluation method, device, equipment and medium

Abstract

The embodiment of the invention discloses a site integration evaluation method and device, equipment and a medium. The method comprises the following steps: determining a to-be-evaluated cell and a corresponding undertaking cell list; carrying out MR rasterization processing on all undertaking cells in the to-be-evaluated cell and the undertaking cell list to obtain MR grids; according to a first correlation index between the MR grid of the to-be-evaluated cell and the MR grid of the undertaking cell, performing coverage evaluation, and obtaining a coverage evaluation result of the to-be-evaluated cell; according to a second correlation index between the MR grid of the to-be-evaluated cell and the MR grid of the undertaking cell, carrying out load evaluation, and obtaining a load evaluation result of the to-be-evaluated cell; and obtaining a site integration evaluation result of the to-be-evaluated cell according to the coverage evaluation result and the load evaluation result.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of communications, and specifically to evaluation methods, devices, equipment and media for site integration. Background Art

[0002] Site integration refers to the optimization and integration of existing communication base station site resources to improve resource utilization efficiency, reduce duplication of construction, reduce operating costs, and improve network performance. At present, site integration mainly involves unified planning and management of the geographical location, coverage, and frequency resources of base stations.

[0003] In the process of site integration, an important link is site integration evaluation. The site integration evaluation method provided by the prior art is: the tester conducts a status test before and after the cell to be demolished is locked, and obtains the test result; based on the test result, obtains the feasibility evaluation result of whether the cell to be demolished has site integration. However, this method is affected by factors such as test conditions, resulting in inaccurate evaluation results, and the tester needs a lot of manpower, material and financial resources to conduct the test. Summary of the invention

[0004] The embodiments of the present application propose a site integration evaluation method, device, equipment and medium to solve the technical problem of inaccurate site integration evaluation results.

[0005] In a first aspect, an embodiment of the present application provides a site integration evaluation method, the method comprising:

[0006] Determine a cell to be evaluated and a list of receiving cells corresponding to the cell to be evaluated, wherein the list of receiving cells includes multiple receiving cells;

[0007] Performing measurement report MR rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain an MR grid;

[0008] Performing coverage evaluation according to a first correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtaining a coverage evaluation result of the cell to be evaluated, wherein the first correlation index is obtained according to MR information;

[0009] Performing load evaluation according to a second correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtaining a load evaluation result of the cell to be evaluated, wherein the second correlation index is obtained according to the MR information;

[0010] According to the coverage assessment result and the load assessment result, a site integration assessment result of the cell to be assessed is obtained.

[0011] In a second aspect, an embodiment of the present application provides a site integration evaluation device, the device comprising:

[0012] A determination module, used to determine a cell to be evaluated and a receiving cell list corresponding to the cell to be evaluated, wherein the receiving cell list includes multiple receiving cells;

[0013] An MR rasterization processing module is used to perform MR rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain an MR raster;

[0014] A coverage evaluation module, configured to perform coverage evaluation according to a first correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a coverage evaluation result of the cell to be evaluated, wherein the first correlation index is obtained according to MR information;

[0015] A load evaluation module, configured to perform load evaluation according to a second related index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a load evaluation result of the cell to be evaluated, wherein the second related index is obtained according to the MR information;

[0016] The site integration assessment module is used to obtain the site integration assessment result of the cell to be assessed according to the coverage assessment result and the load assessment result.

[0017] In a third aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any embodiment of the first aspect.

[0018] In a fourth aspect, an embodiment of the present application provides a computer-readable medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of the first aspect.

[0019] The site integration evaluation method, device, equipment and medium provided in the embodiments of the present application perform MR rasterization processing on all receiving cells in the cell to be evaluated and the receiving cell list to obtain MR grids. The site integration evaluation of the cell to be evaluated is based on the MR grid and has a high accuracy rate. The site integration evaluation of the cell to be evaluated includes coverage evaluation and load evaluation, which takes into account both the signal coverage range and the user distribution range, further improving the accuracy of the evaluation results. The results of the coverage evaluation and the load evaluation are mainly obtained by calculating the MR information, which makes the evaluation calculation simple and the running speed fast, and solves the problem that the prior art requires manual testing to obtain the evaluation results, which requires a lot of manpower, material and financial costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0021] Figure 1 is a flow chart of an embodiment of the site integration evaluation method of the present application;

[0022] Figure 2 yes Figure 1 The flowchart of step 101 in the site integration evaluation method of the present application is shown;

[0023] Figure 3 yes Figure 2 A schematic diagram of a method for determining a cell to be evaluated and a receiving cell in step 101 is shown;

[0024] Figure 4 yes Figure 1 The flowchart of step 102 in the site integration evaluation method of the present application is shown;

[0025] Figure 5 yes Figure 1 A schematic diagram of the failure rate of the cell to be evaluated in step 103 of the site integration evaluation method of the present application is shown;

[0026] Figure 6 yes Figure 1 The flowchart of step 104 in the site integration evaluation method of the present application is shown;

[0027] Figure 7 yes Figure 6 A schematic diagram of an example of load assessment in step 104 is shown;

[0028] Figure 8 yes Figure 1 The schematic diagram of the raster geographic presentation in the site integration evaluation method of the present application is shown;

[0029] Fig. 9 yes Figure 1 A schematic diagram of the effect of grid filling rate in the site integration evaluation method of the present application is shown;

[0030] Fig.10 yes Figure 1 A schematic diagram of the effect of grid coverage in the site integration evaluation method of the present application is shown;

[0031] Fig.11 yes Figure 1 A schematic diagram showing the effect of excellent grid coverage in the site integration evaluation method of the present application;

[0032] Fig.12 yes Figure 1A schematic diagram of the proportion of grids where the average RSRP of the grid is reduced by more than 6 dB in the evaluation method for site integration of the present application is shown;

[0033] Fig.13 It is a structural schematic diagram of an embodiment of a site integration evaluation device of the present application;

[0034] Fig.14 It is a schematic diagram of the structure of an electronic device used to implement an embodiment of the present application. DETAILED DESCRIPTION

[0035] All actions to obtain signals, information or data in this application are carried out in compliance with the relevant data protection laws and policies of the country where they are located, and with the authorization given by the owner of the corresponding device.

[0036] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It should also be noted that, for ease of description, only the parts related to the relevant invention are shown in the accompanying drawings.

[0037] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0038] Please refer to Figure 1 , which shows a process 100 of an embodiment of a site integration evaluation method according to the present application. The site integration evaluation method can be applied to various electronic devices with data processing functions. For example, the above electronic devices may include but are not limited to cloud servers, physical servers, etc. The execution subject of the automatic discovery method of topological relationships may be a processor in the above electronic devices.

[0039] The site integration assessment method includes the following steps:

[0040] Step 101: Determine a cell to be evaluated and a receiving cell list corresponding to the cell to be evaluated, wherein the receiving cell list includes multiple receiving cells.

[0041] In this embodiment, if Figure 2 As shown, step 101 may include:

[0042] Step 201: Obtain the industrial parameter data of the cell from the industrial parameter network management.

[0043] In this embodiment, the fields of the engineering parameter data include but are not limited to: operator (CONTRACTOR) cell unique identifier (ECI), base station identifier (ENB), cell identifier (CELLID), frequency band (BAND), cell coverage type (COVERTYPE), cell longitude (LONGITUDE), cell latitude (LATITUDE) and antenna direction angle (AZIMUTH), etc. Exemplarily, the engineering parameter data can be shown in Table 1:

[0044]

[0045] Table 1

[0046] Step 202: Obtain a cell to be evaluated from cells according to the frequency band field of the engineering parameter data.

[0047] In this embodiment, if the frequency band field is medium and low frequency, the cell corresponding to the engineering parameter data is the cell to be evaluated, which is recorded as: CELL i , where i represents the i-th cell to be evaluated.

[0048] Step 203: According to the cell longitude field, cell dimension field and antenna direction angle field of the engineering parameter data, obtain the receiving cell corresponding to the cell to be evaluated from the cell, and generate a receiving cell list.

[0049] According to Figure 3 The schematic diagram of the method for determining the cell to be evaluated and the receiving cell is shown in FIG. 1 . In this embodiment, the distance deviation DIS between the cell to be evaluated and the non-cell to be evaluated in the cell can be obtained by the following formula (1): ij :

[0050] DIS ij =F(LON i , LAT i ,LON′ j , LAT′ j ) (1)

[0051] Among them, LON i is the longitude of the ith cell to be evaluated, LAT i is the latitude of the i-th cell to be evaluated, LON′ j is the longitude of the jth non-to-be-evaluated cell, LAT′ j is the latitude of the jth non-evaluated cell.

[0052] In this embodiment, the directional angle deviation DIR between the cell to be evaluated and the non-cell to be evaluated in the cell can be obtained by the following formula (2): ij :

[0053] DIR ij=F(AZIMUTH i AZIMUTH′ j ) (2)

[0054] Among them, AZIMUTH i is the direction angle of the i-th cell to be evaluated, AZIMUTH′ j Direction angle of the jth non-evaluated cell.

[0055] In this embodiment, if the distance deviation DIS ij Less than the distance deviation threshold THR dis , and the angular deviation DIR ij Less than the direction angle deviation threshold THR dir , then the jth non-to-be-evaluated cell is the host cell of the ith to-be-evaluated cell. Repeat the above steps to obtain the host cell list LIST of the ith to-be-evaluated cell i ={CELL′ 1 ,CELL′ 2 ,…,CELL′ n-1 ,CELL′ n}.

[0056] The calculation method based on engineering parameter data can quickly determine the cells to be evaluated and their corresponding receiving cell lists. The calculation is simple and easy to implement.

[0057] Step 102: Perform measurement report (MR) rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain MR grids.

[0058] In this embodiment, if Figure 4 As shown, step 102 may include:

[0059] Step 401: Acquire MR data of the cell to be evaluated and MR data of the receiving cell from the MR server.

[0060] In this embodiment, the fields of the MR data include but are not limited to: base station identifier (ENB), cell identifier (CELLID), serving cell reference signal power (LTESCRSRP), measurement and reporting longitude (LONGITUDE) and measurement and reporting latitude (LATITUDE), etc. Exemplarily, the MR data may be as shown in Table 2:

[0061]

[0062]

[0063] Table 2

[0064] Step 402: According to the measured reported longitude field and the measured reported latitude field of the MR data of the cell to be evaluated, and in accordance with a preset grid division rule, MR gridding is performed on the cell to be evaluated to obtain the MR grid of the cell to be evaluated.

[0065] Step 403: Perform MR gridding processing on the receiving cell according to the measured reported longitude field and the measured reported latitude field of the MR data of the receiving cell and the grid division rule to obtain the MR grid of the receiving cell.

[0066] In this embodiment, the grid division rule is the grid size. For example, this embodiment is described using a grid size of 20*20 meters. In actual use, the grid size can also be set to a numerical value according to actual needs, which will not be described in detail here.

[0067] Step 103: Perform coverage evaluation based on a first correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a coverage evaluation result of the cell to be evaluated, wherein the first correlation index is obtained based on the MR information.

[0068] In this embodiment, the MR information is specifically: MR information of a cell for N consecutive days based on a 20*20 meter MR grid, the cell including the cell to be evaluated and the receiving cell. The fields of the MR information include, but are not limited to, date (DAY), grid ID (GRID_ID), cell unique identifier (ECI), grid longitude (GRID_LON), grid latitude (GRID_LAT), MR sampling number (MR_CNT), and average reference signal received power (Reference Signal Received Power, RSRP) (RSRP_AVG), etc. Exemplarily, the MR information can be shown in Table 3:

[0069]

[0070]

[0071] Table 3

[0072] In this embodiment, the first related indicator includes but is not limited to:

[0073] 1. Failure rate of the community to be evaluated

[0074] In this embodiment, the grid failure rate of the cell to be evaluated is based on a 20*20 meter MR grid, and is obtained according to the number of grids overlapped between the MR grid of the cell to be evaluated and the MR grids of all receiving cells in the receiving cell list, and the total number of MR grids of the cell to be evaluated.

[0075] For example, the cell to be evaluated is CELL iThe failure rate P i It can be obtained by the following formula (3):

[0076]

[0077] Among them, GRID_CNT i-overlap GRID_CNT is the number of grids that overlap between the MR grid of the cell to be evaluated and the MR grids of all the receiving cells in the receiving cell list. i-all is the total number of MR grids in the cell to be evaluated.

[0078] In this embodiment, the dropped grid area is the MR grid where the MR grid of the receiving cell overlaps with the MR grid of the cell to be evaluated; the non-dropped grid area is the MR grid where the MR grid of the receiving cell overlaps with the MR grid of the cell to be evaluated.

[0079] For example, Figure 5 As shown in the figure, the red sector is the cell to be evaluated, the yellow sector is the two corresponding receiving cells, the red dots represent the overlapping MR grids of the cell to be evaluated and the receiving cell, i.e. the drop-grid area, the green dots represent the non-overlapping MR grids of the cell to be evaluated and the receiving cell, i.e. the non-drop-grid area, and the other color dots represent the MR grids of different receiving cells that do not overlap with the cell to be evaluated. The drop-grid rate of the cell to be evaluated reflects the coverage range of the cell to be evaluated that the receiving cell can undertake. The larger the index, the better the coverage and acceptance effect.

[0080] 2. The proportion of MR sampling in the non-grid area to be evaluated

[0081] In this embodiment, the MR sampling ratio of the cell to be evaluated in the non-grid-dropped area is obtained according to the MR sampling number of the cell to be evaluated in the non-grid-dropped area and the total MR sampling number of the cell to be evaluated.

[0082] For example, the MR sampling ratio of the non-grid area to be evaluated is P′ i It can be obtained by the following formula (4):

[0083]

[0084] Among them, MR_CNT i-no-overlap CELL is the cell to be evaluated i The number of MR samples in the non-grid area, MR_CNT i-all CELL is the cell to be evaluated i Total MR samples.

[0085] In this embodiment, the MR sampling ratio of the cells to be evaluated in the non-grid area reflects whether the users of the cells to be evaluated are all distributed in the grid area. The smaller the MR sampling ratio of the cells to be evaluated in the non-grid area, the better the coverage effect.

[0086] 3. The sampling proportion of the top n receiving communities in the MR sampling ranking of Luoge District

[0087] In this embodiment, n is less than the number of receiving cells in the receiving cell list.

[0088] In this embodiment, the top n MR samples in the drop grid area are ranked n ) is obtained according to the sum of the MR sampling numbers of the n receiving cells with the largest MR sampling numbers in the receiving cell list in the grid area, and the sum of the MR sampling points of all the receiving cells in the receiving cell list in the grid area.

[0089] For example, the sampling proportion P″ of the top n receiving communities in the MR sampling ranking of the drop grid area i It can be obtained by the following formula (5):

[0090]

[0091] in, It is the sum of the MR sampling numbers of the n receiving cells with the largest MR sampling numbers in the receiving cell list in the drop-down area. It is the sum of the MR sampling points of all the receiving cells in the receiving cell list within the drop-down area.

[0092] In this embodiment, the sampling proportion of the top n receiving cells in the dropped grid area by MR sampling is a preliminary assessment of the acceptance situation of the receiving cells in the dropped grid area. The larger the sampling proportion of the top n receiving cells in the dropped grid area by MR sampling, the better the coverage acceptance effect.

[0093] 4. The percentage of MR grid reference signal received power RSRP above the first threshold is reduced

[0094] In this embodiment, the proportion of MR grid RSRP reduced by more than the first threshold is obtained based on the total number of grids in the same MR grid in the grid drop area, where the average RSRP of the MR grid of the receiving cell is reduced by more than the first threshold compared with the average RSRP of the MR grid of the cell to be evaluated, and the total number of MR grids in the grid drop area.

[0095] Exemplarily, the MR grid reference signal received power RSRP decreases by a proportion P″′ above the first threshold i It can be obtained by the following formula (6):

[0096]

[0097] Among them, THR dB is the first threshold, The total number of grids whose average RSRP of the MR grid of the receiving cell is lower than the average RSRP of the MR grid of the cell to be evaluated by more than the first threshold, GRID_CNT i-overlapis the total number of MR grids in the grid area.

[0098] In this embodiment, the proportion of MR grid reference signal received power RSRP reduced above the first threshold is used to predict the average RSRP of the receiving cell after the receiving cell is taken over. The smaller the proportion of MR grid reference signal received power RSRP reduced above the first threshold, the better the coverage after the receiving cell is.

[0099] Based on the above first related indicator, step 103 may include:

[0100] When the grid failure rate of the cell to be evaluated is greater than the second threshold, the MR sampling ratio of the cell to be evaluated in the non-grid failure area is less than the third threshold, and the sampling ratio of the top n receiving cells in the grid failure area is greater than the fourth threshold, the coverage evaluation result of the cell to be evaluated is obtained as the cell to be evaluated meets the coverage removal conditions; and / or,

[0101] When the grid failure rate of the cell to be evaluated is greater than the second threshold, and the MR grid RSRP decreases by more than the first threshold but less than the fifth threshold, the coverage evaluation result of the cell to be evaluated is that the cell to be evaluated meets the coverage removal condition.

[0102] It should be noted that this embodiment does not limit the specific values ​​of the first threshold to the fifth threshold. In actual use, specific values ​​can be set according to needs, which will not be elaborated here.

[0103] Step 104: perform load evaluation based on a second correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a load evaluation result of the cell to be evaluated, wherein the second correlation index is obtained based on the MR information.

[0104] In this embodiment, the second related indicator is the relative MR sampling ratio of the receiving cell, which is obtained based on the MR sampling number of the receiving cell in the drop-down area and the total MR sampling number of all the receiving cells in the drop-down area.

[0105] For example, the relative MR sampling ratio of the receiving cell can be obtained by the following formula (7):

[0106]

[0107] Among them, RATIO ij is the relative MR sampling ratio of the jth receiving cell of the i-th cell to be evaluated in the drop-down area, MRCNT′ ij is the MR sampling number of the jth receiving cell of the i-th cell to be evaluated, LIST is the list of receiving cells corresponding to the i-th cell to be evaluated i The total number of MR samples of all receiving cells in the drop-grid area.

[0108] In this embodiment, based on the second related indicator described above, such as Figure 6 As shown, step 104 may include:

[0109] Step 601: Obtain the hourly granularity KPI indicators of the receiving cell for N consecutive days from the Key Performance Indicators (KPI) network management, where N is a natural number.

[0110] In this embodiment, the fields of the KPI indicator include but are not limited to: time (TIME), cell unique identifier (ECI), actual average number of uplink / downlink PRB resources occupied (PRB_UL_USE_NUM / PRB_DL_USE_NUM), uplink / downlink available PRB number (PRB_UL_VALID / PRB_DL_VALID), etc.

[0111] For example, in this embodiment, the KPI indicators may be as shown in Table 4:

[0112]

[0113]

[0114] Table 4

[0115] Step 602: Obtain a pre-assessed load indicator for each receiving cell according to the actual average number of physical resource blocks (PRBs) occupied in the uplink / downlink and the number of available PRBs in the uplink / downlink in the hourly granularity KPI indicators of the receiving cell for N consecutive days, as well as the relative MR sampling ratio of the receiving cell.

[0116] Based on Figure 7 The load evaluation example shown in the figure, in this embodiment, takes the pre-evaluated load index LOAD of the cell hourly granularity ij It can be obtained by the following formula (8):

[0117]

[0118] in, Pre-evaluate the uplink load index of the jth receiving cell of the i-th cell to be evaluated, Pre-evaluate the downlink load index for the j-th receiving cell of the i-th cell to be evaluated.

[0119] In this embodiment, It can be obtained by the following formula (9):

[0120]

[0121] in, is the actual uplink load index of the jth receiving cell before the i-th cell to be evaluated is removed, is the uplink load index of the i-th cell to be evaluated before demolition.

[0122] In this embodiment, It can be obtained by the following formula (10):

[0123]

[0124] in, is the actual downlink load index of the jth receiving cell before the i-th cell to be evaluated is removed, is the downlink load index of the i-th cell to be evaluated before demolition.

[0125] Step 603: When there is at least one receiving cell in the receiving cell list whose pre-assessed load index is greater than the sixth threshold, the load assessment result of the cell to be assessed is obtained to be that the cell to be assessed does not meet the load removal conditions; otherwise, the load assessment result of the cell to be assessed is obtained to be that the cell to be assessed meets the load removal conditions.

[0126] Step 105: Obtain a site integration assessment result of the cell to be assessed based on the coverage assessment result and the load assessment result.

[0127] In this embodiment, when the coverage assessment result of the cell to be evaluated obtained in step 103 is that the cell to be evaluated meets the coverage removal condition, and the load assessment result of the cell to be evaluated obtained in step 104 is that the cell to be evaluated meets the load removal condition, the site integration assessment result of the cell to be evaluated is that the cell to be evaluated can be removed, otherwise, the cell to be evaluated cannot be removed.

[0128] Optionally, after step 105, the process may further include a step of automatically outputting the site integration evaluation result of the cell to be evaluated.

[0129] In this embodiment, the site integration assessment results of the cell to be assessed include, but are not limited to: a detailed table of the cell to be assessed, statistics on grid coverage indicators before and after the demolition of the cell to be assessed, and geographic presentation.

[0130] Among them, the detailed table of the cell to be evaluated may include: the unique identifier of the cell to be evaluated; the unique identifier of the receiving cell; the engineering parameters longitude and latitude, azimuth, coverage index, and estimated load index of the cell to be evaluated; the engineering parameters longitude and latitude, azimuth, coverage index, and estimated load index of the receiving cell.

[0131] In this embodiment, the grid coverage index and load index of the receiving cell before and after the removal of the cell to be evaluated are statistically compared, and the coverage and load changes of the receiving cell after the removal of the cell to be evaluated are observed, providing strong support for network optimization.

[0132] In this embodiment, the grid coverage before and after the demolition of the cell to be evaluated is presented geographically. In order to improve the work efficiency of the optimization personnel, the grid coverage of the cell to be evaluated before and after the demolition is intuitively analyzed, and the MR grid coverage of the cell to be evaluated and the receiving cell is presented geographically. For example, Figure 8 shown.

[0133] Exemplarily, based on the KPI data, MR data and engineering parameter data from May to early July, a comparative analysis of coverage and load before and after demolition of 292 macro cell sites that have been demolished in the automatic output plan of the above algorithm is performed.

[0134] Grid refill rate statistical analysis: The grid refill rate refers to the ratio calculation based on the 20*20 m MR grid, the total number of grids with MR sampling points in the cell to be evaluated before demolition as the denominator, and the total number of grids with MR sampling points in the cell to be evaluated after demolition (i.e., grids filled with other signals) as the numerator. Fig. 9 It can be analyzed that after the demolition of the evaluated community, the grid refill rate is mostly concentrated above 80%, and the effect is good.

[0135] Grid coverage statistical analysis. Grid coverage refers to the percentage of grids with an average RSRP greater than or equal to -105dBm. Fig.10 It can be seen that the grid coverage rate fluctuates slightly before and after the demolition of the community to be evaluated, and remains basically stable.

[0136] Statistical analysis of good grid coverage. Good grid coverage refers to the percentage of grids with an average RSRP greater than or equal to -95dBm. Fig.11 It can be analyzed that the coverage rate of excellent grids fluctuates slightly after the demolition of the community to be evaluated, but the fluctuation is concentrated within 5%.

[0137] Statistical analysis of the percentage of grids with a decrease in grid average RSRP. The percentage of grids with a decrease in grid average RSRP refers to the percentage of grids with an average RSRP of the same grid that is lower than the average RSRP before demolition after the demolition of the cell to be evaluated, which is lower than the average RSRP before demolition. For example, a decrease of 6 dB is calculated. Fig.12 It can be seen that after the demolition of the cell to be evaluated, the proportion of grids whose average RSRP decreases by more than 6 dB is mostly concentrated within 20%.

[0138] After the cells to be evaluated were demolished, a statistical analysis was conducted on the resource utilization of the receiving cells. Among the 292 cells to be evaluated that were demolished, 252 cells had stable loads, with an accuracy rate of 86.3%.

[0139] The method provided by the above-mentioned embodiment of the present application performs MR rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain MR grids, and the site integration evaluation of the cell to be evaluated is based on the MR grid, with high accuracy; the site integration evaluation of the cell to be evaluated includes coverage evaluation and load evaluation, which takes into account both the signal coverage range and the user distribution range, further improving the accuracy of the evaluation results; the results of the coverage evaluation and the load evaluation are mainly obtained by calculating based on the MR information, which makes the evaluation calculation simple and the running speed fast, and solves the problem that the prior art requires manual testing to obtain the evaluation results, which requires a lot of manpower, material and financial costs.

[0140] Please refer to Fig.13 As an implementation of the methods shown in the above figures, the present application provides an embodiment of a site integration evaluation device, and the device embodiment is similar to Figure 1 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0141] like Fig.13 As shown, the site integration evaluation device 1300 of this embodiment includes:

[0142] The determination module 1301 is used to determine a cell to be evaluated and a receiving cell list corresponding to the cell to be evaluated, wherein the receiving cell list includes multiple receiving cells;

[0143] The MR rasterization processing module 1302 is used to perform MR rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain an MR grid;

[0144] The coverage evaluation module 1303 is used to perform coverage evaluation according to a first correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a coverage evaluation result of the cell to be evaluated, wherein the first correlation index is obtained according to MR information;

[0145] The load evaluation module 1304 is used to perform load evaluation according to a second related index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a load evaluation result of the cell to be evaluated, wherein the second related index is obtained according to the MR information;

[0146] The site integration evaluation module 1305 is used to obtain the site integration evaluation result of the cell to be evaluated according to the coverage evaluation result and the load evaluation result.

[0147] Optionally, the determination module 1301 is specifically used to obtain the industrial parameter data of the cell from the industrial parameter network management; obtain the cell to be evaluated from the cell according to the frequency band field of the industrial parameter data; obtain the receiving cell corresponding to the cell to be evaluated from the cell according to the cell longitude field, cell dimension field and antenna direction angle field of the industrial parameter data, and generate a receiving cell list.

[0148] Optionally, the MR rasterization processing module 1302 is specifically used to obtain the MR data of the cell to be evaluated and the MR data of the receiving cell from the MR server; according to the measured reported longitude field and the measured reported latitude field of the MR data of the cell to be evaluated, according to a pre-set grid division rule, perform MR rasterization processing on the cell to be evaluated to obtain the MR grid of the cell to be evaluated; according to the measured reported longitude field and the measured reported latitude field of the MR data of the receiving cell, according to the grid division rule, perform MR rasterization processing on the receiving cell to obtain the MR grid of the receiving cell.

[0149] Optionally, the first related indicator includes: the failure rate of the cell to be evaluated, the MR sampling ratio of the cell to be evaluated in the non-failed area, the sampling ratio of the top n receiving cells in the failed area, and the ratio of the MR grid reference signal received power RSRP reduced by more than the first threshold, wherein n < the number of receiving cells in the receiving cell list;

[0150] The grid failure rate of the cell to be evaluated is obtained according to the number of grids overlapped by the MR grid of the cell to be evaluated and the MR grids of all the receiving cells in the receiving cell list, and the total number of MR grids of the cell to be evaluated;

[0151] The MR sampling proportion of the cell to be evaluated in the non-grid-dropped area is obtained according to the MR sampling number of the cell to be evaluated in the non-grid-dropped area and the total MR sampling number of the cell to be evaluated;

[0152] The sampling proportion of the top n receiving cells in the drop-down area in terms of MR sampling is obtained according to the sum of the MR sampling numbers of the n receiving cells with the largest MR sampling numbers in the receiving cell list in the drop-down area, and the sum of the MR sampling points of all the receiving cells in the receiving cell list in the drop-down area;

[0153] The proportion of the MR grid RSRP reduction by more than the first threshold is obtained based on the total number of grids in the same MR grid in the drop-down area, where the average RSRP of the MR grid of the receiving cell is reduced by more than the first threshold compared with the average RSRP of the MR grid of the cell to be evaluated, and the total number of MR grids in the drop-down area;

[0154] The grid drop area is an MR grid where the MR grid of the receiving cell overlaps with the MR grid of the cell to be evaluated;

[0155] The non-grid area is an MR grid where the MR grid of the receiving cell overlaps with the MR grid of the cell to be evaluated.

[0156] Optionally, the coverage evaluation module 1303 is specifically used to obtain the coverage evaluation result of the cell to be evaluated, which is that the cell to be evaluated satisfies the coverage removal condition, when the grid drop rate of the cell to be evaluated is greater than the second threshold, the MR sampling ratio of the cell to be evaluated in the non-grid drop area is less than the third threshold, and the sampling ratio of the top n receiving cells in the grid drop area is greater than the fourth threshold; and / or, when the grid drop rate of the cell to be evaluated is greater than the second threshold, and the MR grid RSRP decreases by more than the first threshold and accounts for less than the fifth threshold, obtain the coverage evaluation result of the cell to be evaluated, which is that the cell to be evaluated satisfies the coverage removal condition.

[0157] Optionally, the second related indicator is the relative MR sampling ratio of the receiving cell, and the relative MR sampling ratio of the receiving cell is obtained based on the MR sampling number of the receiving cell in the grid area and the total MR sampling number of all the receiving cells in the grid area.

[0158] Optionally, the load assessment module 1304 is specifically used to obtain the hourly granularity KPI indicator of the receiving cell for N consecutive days from the key performance indicator KPI network management, where N is a natural number; obtain the pre-assessed load indicator of each of the receiving cells according to the actual average number of uplink / downlink occupied physical resource blocks (PRB) resources and the number of uplink / downlink available PRBs in the hourly granularity KPI indicator of the receiving cell for N consecutive days, as well as the relative MR sampling ratio of the receiving cell; when there is at least one receiving cell in the receiving cell list whose pre-assessed load indicator is greater than the sixth threshold, the load assessment result of the cell to be assessed is that the cell to be assessed does not meet the load removal conditions; otherwise, the load assessment result of the cell to be assessed is that the cell to be assessed meets the load removal conditions.

[0159] Optionally, the site integration evaluation device 1300 may further include:

[0160] An automatic output module, used for automatically outputting the site integration evaluation result of the cell to be evaluated;

[0161] The site integration assessment results of the cell to be assessed include: a detailed table of the cell to be assessed, statistics of grid coverage indicators before and after the demolition of the cell to be assessed, and geographic presentation;

[0162] The detailed table of the cell to be evaluated includes: the unique identifier of the cell to be evaluated; the unique identifier of the receiving cell; the engineering parameters longitude and latitude, direction angle, coverage index, and estimated load index of the cell to be evaluated; the engineering parameters longitude and latitude, direction angle, coverage index, and estimated load index of the receiving cell.

[0163] The specific implementation method of the site integration evaluation device provided in this embodiment can refer to the site integration evaluation method described in the above embodiment, which will not be repeated here.

[0164] The site integration evaluation device provided in the embodiment of the present application performs MR rasterization processing on all the receiving cells in the cell to be evaluated and the receiving cell list to obtain MR grids. The site integration evaluation of the cell to be evaluated is performed based on the MR grid, and has a high accuracy rate; the site integration evaluation of the cell to be evaluated includes coverage evaluation and load evaluation, which takes into account both the signal coverage range and the user distribution range, further improving the accuracy of the evaluation result; the results of the coverage evaluation and the load evaluation are mainly obtained by calculating the MR information, which makes the evaluation calculation simple and the running speed fast, and solves the problem that the prior art requires manual testing to obtain the evaluation results, which requires a lot of manpower, material and financial costs.

[0165] Reference below Fig.14 , which shows a schematic structural diagram of an electronic device for implementing some embodiments of the present application. Fig.14 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0166] like Fig.14 As shown, the electronic device 1400 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 1401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1402 or a program loaded from a storage device 1408 to a random access memory (RAM) 1403. In the RAM 1403, various programs and data required for the operation of the electronic device 1400 are also stored. The processing device 1401, the ROM 1402, and the RAM 1403 are connected to each other via a bus 1404. An input / output (I / O) interface 1405 is also connected to the bus 1404.

[0167] Typically, the following devices may be connected to the I / O interface 1405: an input device 1406 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 1407 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1408 including, for example, a disk, a hard disk, etc.; and a communication device 1409. The communication device 1409 may allow the electronic device 1400 to communicate with other devices wirelessly or by wire to exchange data. Although Fig.14 The electronic device 1400 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 4 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0168] In particular, according to some embodiments of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 1409, or installed from the storage device 1408, or installed from the ROM 1402. When the computer program is executed by the processing device 1401, the above-mentioned functions defined in the method of some embodiments of the present application are executed.

[0169] It should be noted that the computer-readable medium described in some embodiments of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0170] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0171] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: upon receiving a message sending request, obtains the message to be tested in the message sending request; extracts the text content in the message to be tested; detects the text content based on the keywords of historical spam messages, the hash values ​​of historical spam messages, and the large language model to determine whether the message to be tested is a spam message; and intercepts the message to be tested in response to the message to be tested being a spam message.

[0172] Computer program code for performing the operations of some embodiments of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++; and also conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, or may be connected to an external computer (e.g., through the Internet using an Internet service provider), including a local area network (LAN) or a wide area network (WAN).

[0173] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0174] The units described in some embodiments of the present application may be implemented by software or hardware. The units described may also be set in a processor, for example, it may be described as: a processor includes a first determination unit, a second determination unit, a selection unit, and a third determination unit. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0175] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0176] The above description is only some preferred embodiments of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present application is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above invention concept. For example, the above features are replaced with (but not limited to) the technical features with similar functions disclosed in the embodiments of the present application to form a technical solution.

Claims

1. A site integration evaluation method, characterized in that: The method comprises: Determine a cell to be evaluated and a list of receiving cells corresponding to the cell to be evaluated, wherein the list of receiving cells includes multiple receiving cells; Performing measurement report MR rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain an MR grid; Performing coverage evaluation according to a first correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtaining a coverage evaluation result of the cell to be evaluated, wherein the first correlation index is obtained according to MR information; Performing load evaluation according to a second correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtaining a load evaluation result of the cell to be evaluated, wherein the second correlation index is obtained according to the MR information; According to the coverage assessment result and the load assessment result, a site integration assessment result of the cell to be assessed is obtained.

2. The method according to claim 1, characterized in that The determining of the cell to be evaluated and the list of receiving cells corresponding to the cell to be evaluated include: Obtain the industrial parameter data of the cell from the industrial parameter network management; According to the frequency band field of the engineering parameter data, obtaining a cell to be evaluated from the cell; According to the cell longitude field, the cell dimension field and the antenna direction angle field of the engineering parameter data, the receiving cell corresponding to the cell to be evaluated is obtained from the cell, and a receiving cell list is generated.

3. The method according to claim 1, characterized in that The performing MR rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain the MR raster comprises: Acquire the MR data of the cell to be evaluated and the MR data of the receiving cell from the MR server; According to the measured reported longitude field and the measured reported latitude field of the MR data of the cell to be evaluated, and according to a preset grid division rule, the cell to be evaluated is subjected to MR gridding processing to obtain the MR grid of the cell to be evaluated; According to the measured reported longitude field and the measured reported latitude field of the MR data of the receiving cell and in accordance with the grid division rule, the receiving cell is subjected to MR gridding processing to obtain the MR grid of the receiving cell.

4. The method according to claim 1, characterized in that: The first related indicators include: the failure rate of the cell to be evaluated, the MR sampling ratio of the cell to be evaluated in the non-failed area, the sampling ratio of the top n receiving cells in the failed area, and the ratio of the MR grid reference signal received power RSRP reduced by more than the first threshold, wherein n<the number of receiving cells in the receiving cell list; The grid failure rate of the cell to be evaluated is obtained according to the number of grids overlapped by the MR grid of the cell to be evaluated and the MR grids of all the receiving cells in the receiving cell list, and the total number of MR grids of the cell to be evaluated; The MR sampling proportion of the cell to be evaluated in the non-grid-dropped area is obtained according to the MR sampling number of the cell to be evaluated in the non-grid-dropped area and the total MR sampling number of the cell to be evaluated; The sampling proportion of the top n receiving cells in the drop-down area in terms of MR sampling is obtained according to the sum of the MR sampling numbers of the n receiving cells with the largest MR sampling numbers in the receiving cell list in the drop-down area, and the sum of the MR sampling points of all the receiving cells in the receiving cell list in the drop-down area; The proportion of the MR grid RSRP reduction by more than the first threshold is obtained based on the total number of grids in the same MR grid in the drop-down area, where the average RSRP of the MR grid of the receiving cell is reduced by more than the first threshold compared with the average RSRP of the MR grid of the cell to be evaluated, and the total number of MR grids in the drop-down area; The grid drop area is an MR grid where the MR grid of the receiving cell overlaps with the MR grid of the cell to be evaluated; The non-grid area is an MR grid where the MR grid of the receiving cell overlaps with the MR grid of the cell to be evaluated.

5. The method according to claim 4, characterized in that The performing coverage evaluation according to the first correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell to obtain the coverage evaluation result of the cell to be evaluated includes: When the grid failure rate of the cell to be evaluated is greater than the second threshold, the MR sampling ratio of the cell to be evaluated in the non-grid failure area is less than the third threshold, and the sampling ratio of the top n receiving cells in the grid failure area MR sampling ranking is greater than the fourth threshold, the coverage evaluation result of the cell to be evaluated is obtained as the cell to be evaluated meets the coverage removal condition; and / or, When the grid failure rate of the cell to be evaluated is greater than the second threshold and the MR grid RSRP decreases by more than the first threshold but less than the fifth threshold, the coverage evaluation result of the cell to be evaluated is obtained as follows: the cell to be evaluated meets the coverage removal condition.

6. The method according to claim 1, characterized in that The second related indicator is the relative MR sampling ratio of the receiving cells, and the relative MR sampling ratio of the receiving cells is obtained according to the MR sampling number of the receiving cells in the drop-down area and the total MR sampling number of all the receiving cells in the drop-down area.

7. The method according to claim 6, characterized in that The step of performing load evaluation according to the second correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtaining the load evaluation result of the cell to be evaluated comprises: Obtain the hourly granularity KPI indicator of the undertaking cell for N consecutive days from the key performance indicator KPI network management, where N is a natural number; According to the actual average number of physical resource blocks (PRBs) occupied by the uplink / downlink and the number of available PRBs for uplink / downlink in the hourly granularity KPI indicators of the receiving cell for N consecutive days, and the relative MR sampling ratio of the receiving cell, the pre-assessed load indicator of each receiving cell is obtained; When there is at least one of the receiving cells in the receiving cell list whose pre-assessed load index is greater than the sixth threshold, the load assessment result of the cell to be assessed is that the cell to be assessed does not meet the load removal conditions; otherwise, the load assessment result of the cell to be assessed is that the cell to be assessed meets the load removal conditions.

8. The method according to claim 1, characterized in that After obtaining the site integration evaluation result of the cell to be evaluated according to the coverage evaluation result and the load evaluation result, the method further includes: automatically outputting the site integration evaluation result of the cell to be evaluated; The site integration assessment results of the cell to be assessed include: a detailed table of the cell to be assessed, statistics of grid coverage indicators before and after the demolition of the cell to be assessed, and geographic presentation; The detailed table of the cell to be evaluated includes: the unique identifier of the cell to be evaluated; the unique identifier of the receiving cell; the engineering parameters longitude and latitude, direction angle, coverage index, and estimated load index of the cell to be evaluated; the engineering parameters longitude and latitude, direction angle, coverage index, and estimated load index of the receiving cell.

9. A site integration evaluation device, characterized in that: The device comprises: A determination module, used to determine a cell to be evaluated and a receiving cell list corresponding to the cell to be evaluated, wherein the receiving cell list includes multiple receiving cells; An MR rasterization processing module is used to perform MR rasterization processing on the cell to be evaluated and all the receiving cells in the receiving cell list to obtain an MR raster; A coverage evaluation module, configured to perform coverage evaluation according to a first correlation index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a coverage evaluation result of the cell to be evaluated, wherein the first correlation index is obtained according to MR information; A load evaluation module, configured to perform load evaluation according to a second related index between the MR grid of the cell to be evaluated and the MR grid of the receiving cell, and obtain a load evaluation result of the cell to be evaluated, wherein the second related index is obtained according to the MR information; The site integration assessment module is used to obtain the site integration assessment result of the cell to be assessed according to the coverage assessment result and the load assessment result.

10. An electronic device, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 8.

11. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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