Data identification method and device, electronic equipment and storage medium

Abstract

The application provides a data identification method and device, electronic equipment and a storage medium, wherein the method comprises: determining an outdoor grid of a target cell based on an indoor and outdoor data identification model; the indoor and outdoor data identification model is established based on minimum drive test (MDT) data of the target cell; and indoor measurement report (MR) data of the target cell is determined based on MR data of the outdoor grid. The application establishes an indoor and outdoor data identification model based on MDT data, distinguishes indoor and outdoor MR data of a network device of a home broadband building surrounding coverage network, and realizes high-precision positioning of indoor and outdoor positions of a terminal.

Description

Technical Field

[0001] This invention relates to the field of mobile communication technology, and more specifically to a data identification method, device, electronic device, and storage medium. Background Technology

[0002] Minimization of Drive Tests (MDT) technology is widely used for the localization analysis of mobile user communication interaction data behavior.

[0003] Currently, there are three solutions for indoor coverage analysis based on MDT: one is to accurately locate and associate indoor area data through MDT; the second is to locate indoor data by establishing fingerprint matching; and the third is to associate home broadband users with measurement report (MR) data of the surrounding network equipment of home broadband buildings.

[0004] The first two methods rely on MDT data, but for indoor depth areas, such as blind spots and locations far from windows, latitude and longitude information cannot be obtained, meaning there is no corresponding MDT data for indoor depth areas. For the third method, the obtained MR data is the MR data of the network equipment covering the building where the home broadband user is located, which cannot distinguish between indoor and outdoor data and cannot accurately locate indoor terminals. Summary of the Invention

[0005] This invention provides a data identification method, apparatus, electronic device, and storage medium to solve the technical problem that MR data associated with building surrounding coverage network equipment for home broadband users cannot distinguish between indoor and outdoor data.

[0006] In a first aspect, the present invention provides a data identification method, comprising:

[0007] The outdoor grid of the target cell is determined based on the indoor and outdoor data recognition model; the indoor and outdoor data recognition model is established based on the minimized drive test MDT data of the target cell.

[0008] The indoor MR data of the target cell is determined based on the MR data from the outdoor grid measurement report.

[0009] In one embodiment, before determining the outdoor grid of the target cell based on the indoor / outdoor data recognition model, the method further includes:

[0010] The sampling points and corresponding MDT data of the target cell within the preset area are determined.

[0011] In one embodiment, determining the sampling points and corresponding MDT data of the target cell within a preset area includes:

[0012] Obtain MDT data within the preset area;

[0013] Based on the building layer of the preset area, the MDT data within the preset area is rasterized, and the preset area is divided into a first area and a second area;

[0014] The sampling points and corresponding MDT data of the target cell are determined based on the cell identifier in the MDT data; the sampling points include indoor sampling points in the first area and sampling grids in the second area.

[0015] In one embodiment, determining the outdoor grid of the target cell based on the indoor / outdoor data recognition model includes:

[0016] Determine the target indoor sampling point within the first region that is closest to the target cell, and the distance between the target indoor sampling point and the target cell is the first distance;

[0017] If the second distance between the target grid in the second area and the target cell is less than the first distance, the target grid is determined to be the outdoor grid of the target cell.

[0018] In one embodiment, determining the indoor MR data of the target cell based on the outdoor grid measurement report MR data includes:

[0019] Determine the minimum value of the reference signal received power (RSRP) in the MR data of the outdoor grid;

[0020] If the RSRP of the target MR data in the first region is less than the minimum value, the target MR data is determined to be the indoor MR data.

[0021] In a second aspect, the present invention provides a data identification device, comprising:

[0022] The first determining module is used to determine the outdoor grid of the target cell based on an indoor and outdoor data recognition model; the indoor and outdoor data recognition model is established based on the minimized drive test MDT data of the target cell.

[0023] The second determining module is used to determine the indoor MR data of the target cell based on the MR data of the outdoor grid measurement report.

[0024] In one embodiment, the apparatus further includes:

[0025] The third determining module is used to determine the sampling points and corresponding MDT data of the target cell within a preset area.

[0026] In one embodiment, the third determining module includes:

[0027] The acquisition submodule is used to acquire MDT data within the preset area;

[0028] The processing submodule is used to rasterize the MDT data within the preset area based on the building layer of the preset area, and to divide the preset area into a first area and a second area;

[0029] The first determining submodule is used to determine the sampling point and corresponding MDT data of the target cell based on the cell identifier in the MDT data; the sampling point includes indoor sampling points in the first area and sampling grids in the second area.

[0030] In one embodiment, the first determining module includes:

[0031] The second determining submodule is used to determine the target indoor sampling point in the first area that is closest to the target cell, and the distance between the target indoor sampling point and the target cell is the first distance;

[0032] The third determining submodule is used to determine that the target grid is an outdoor grid of the target cell when the second distance between the target grid in the second area and the target cell is less than the first distance.

[0033] In one embodiment, the second determining module includes:

[0034] The fourth determining submodule is used to determine the minimum value of the reference signal received power (RSRP) in the MR data of the outdoor grid;

[0035] The fifth determination submodule is used to determine the target MR data as the indoor MR data if the RSRP of the target MR data in the first area is less than the minimum value.

[0036] Thirdly, the present invention provides an electronic device, including a processor and a memory storing a computer program, wherein the processor executes the computer program to implement the steps of the data identification method described in the first aspect.

[0037] Fourthly, the present invention provides a processor-readable storage medium storing a computer program for causing the processor to perform the steps of the data identification method described in the first aspect.

[0038] The data identification method, device, electronic equipment, and storage medium provided by this invention establish an indoor and outdoor data identification model based on MDT data, distinguish between indoor and outdoor MR data of home broadband building surrounding coverage network equipment, and achieve high-precision positioning of the indoor and outdoor locations of terminals. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0040] Figure 1 This is one of the flowcharts illustrating the data recognition method provided in this embodiment of the invention;

[0041] Figure 2 This is a schematic diagram of MDT data rasterization processing provided in an embodiment of the present invention;

[0042] Figure 3 This is one of the schematic diagrams illustrating the construction of an indoor and outdoor data recognition model provided in an embodiment of the present invention;

[0043] Figure 4 This is the second schematic diagram of constructing an indoor and outdoor data recognition model provided in an embodiment of the present invention;

[0044] Figure 5 This is a schematic diagram comparing indoor and outdoor signal strength provided in an embodiment of the present invention;

[0045] Figure 6 This is a second schematic flowchart of the data recognition method provided in this embodiment of the invention;

[0046] Figure 7 This is a schematic diagram of the structure of the data recognition device provided in an embodiment of the present invention;

[0047] Figure 8 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0049] Measurement reports (MRs) are the primary means for network-side devices to obtain wireless information from terminal devices, mainly including uplink and downlink signal information. By rendering the distribution of uplink and downlink signal strength, weak and blind spots in network coverage can be presented, allowing for network coverage assessment and analysis. MR data includes various parameters indicating terminal network quality, such as Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ).

[0050] For a terminal to collect Minimization of Drive Tests (MDT) data, the Global Positioning System (GPS) function must be enabled. Only when the terminal has GPS enabled and supports MDT can it report MDT data, including the terminal's location, to the network device. Compared to MR data, MDT data includes not only MR data information but also location information determined by GPS, such as the terminal's latitude and longitude.

[0051] Indoor coverage analysis of mobile communication networks, especially for deep indoor areas such as dead zones and locations far from windows, is typically achieved in three ways: First, by using MDT (Multi-Targeting Data) to precisely locate and correlate indoor area data. MDT precise location data is MR (Mixed Location) data carrying GPS information. For deep indoor areas, since precise GPS information cannot be obtained, the MDT-correlated indoor area data does not contain data corresponding to the deep areas.

[0052] Secondly, indoor data is located by establishing location fingerprint matching. Fingerprint matching location mainly relies on MDT (Multi-Dimensional Data Structure) for location modeling, establishing fingerprint features for each location, using location fingerprint matching to backfill the user's MR (Local Location) location, and then associating indoor data based on the indoor layer. Similarly, this method also relies on MDT data and has the drawback of lacking data in indoor depth areas.

[0053] Third, it involves associating MR data (Mapping Data) of home broadband users with the network equipment covering the surrounding buildings. MR data for home broadband users is extracted, and when the network equipment used by a user is part of the network equipment covering the surrounding buildings, this data is used as the MR data for the building where the user resides. However, this data includes both indoor and outdoor data for the building's location, making it impossible to distinguish between indoor and outdoor data.

[0054] To address the aforementioned problems in the prior art, the present invention provides a data identification method, apparatus, electronic device, and storage medium.

[0055] Figure 1 This is one of the flowcharts illustrating the data recognition method provided in this embodiment of the invention, such as... Figure 1 As shown, an embodiment of the present invention provides a data identification method, including:

[0056] Step 101: Determine the outdoor grid of the target cell based on the indoor and outdoor data recognition model; the indoor and outdoor data recognition model is established based on the minimized drive test MDT data of the target cell.

[0057] Specifically, the method acquires MDT data of the building locations for home broadband users. Based on the building layer, the MDT data is roughly distinguished into MDT data within the building and MDT data around the building. The MDT data is then rasterized to obtain multiple sampling graticles and multiple indoor sampling points corresponding to the building layer.

[0058] By using the cell identifiers in the MDT data, the list of primary serving cells occupied in the MDT data can be obtained, thereby obtaining the sampling grid and indoor sampling points corresponding to each cell.

[0059] The indoor and outdoor data identification model is used to identify indoor and outdoor data in various residential communities. It identifies indoor and outdoor data by using the location of the target community, the latitude and longitude of the surrounding broadband network equipment, the latitude and longitude of each sampling grid, and the latitude and longitude of each indoor sampling point. Specifically, it includes:

[0060] For each indoor sampling point located in the horizontal direction of the target cell coverage, determine its distance from the target cell, and identify the indoor sampling point that is closest to the target cell. The distance between the two is recorded as the first distance.

[0061] Based on the latitude and longitude of the sampling grid corresponding to the target cell and the latitude and longitude of the target cell, the distance between each sampling grid and the target cell is obtained. When this distance is less than the first distance, the corresponding sampling grid is determined to be the outdoor grid of the target cell.

[0062] Step 102: Determine the indoor MR data of the target cell based on the MR data of the outdoor grid measurement report.

[0063] Specifically, based on the aforementioned steps, at least one outdoor grid cell of the target cell can be obtained, MR data in each outdoor grid cell can be extracted, the grid cell with the weakest signal strength can be determined, and the minimum RSRP value can be obtained.

[0064] Extract each MR from the indoor sampling points in the same direction coverage of the target cell, and extract the RSRP from it. Compare it with the minimum RSRP value of the grid point with the weakest signal strength in the outdoor grid. When the indoor MR RSRP value is greater than the minimum RSRP value, the MR point is identified as an outdoor MR; when the indoor MR RSRP value is less than the minimum RSRP value, the MR point is identified as an indoor MR.

[0065] The data identification method provided in this invention establishes an indoor and outdoor data identification model based on MDT data, distinguishes between indoor and outdoor MR data of home broadband building surrounding coverage network equipment, and achieves high-precision positioning of the indoor and outdoor locations of terminals.

[0066] Optionally, before determining the outdoor grid of the target cell based on the indoor and outdoor data recognition model, the method further includes:

[0067] The sampling points and corresponding MDT data of the target cell within the preset area are determined.

[0068] Specifically, before identifying the outdoor grid of the target community based on the indoor and outdoor data recognition model, the MDT data needs to be rasterized.

[0069] Figure 2 This is a schematic diagram of MDT data rasterization processing provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the MDT data includes location information, such as latitude and longitude; the building layer associated with the building for home broadband users also carries latitude and longitude information.

[0070] Using the building layer's border as a boundary, acquire MDT and MR data within the building and MDT data around the building, then rasterize the MDT data around the building. For example... Figure 2 As shown, each small square in the figure represents a sampling grid, corresponding to the MDT data around the building; each ellipse in the figure represents an indoor sampling point, and indoor sampling points in different communities are distinguished by ellipses of different sizes, corresponding to the MDT data inside the building.

[0071] Optionally, determining the sampling points and corresponding MDT data of the target cell within a preset area includes:

[0072] Obtain MDT data within the preset area;

[0073] Based on the building layer of the preset area, the MDT data within the preset area is rasterized, and the preset area is divided into a first area and a second area;

[0074] The sampling points and corresponding MDT data of the target cell are determined based on the cell identifier in the MDT data; the sampling points include indoor sampling points in the first area and sampling grids in the second area.

[0075] Specifically, such as Figure 2 As shown, based on the geographical location of the building layer of home broadband users, MDT data within a certain distance outside the building layer border and inside the building layer border are obtained. For the area inside the building layer border, some MR data without location information can also be obtained.

[0076] Using the building layer's border as a boundary, the area within the building layer's border is designated as the first region; the area outside the building layer's border is designated as the second region. The MDT data in the second region is rasterized to obtain multiple sampling rasters.

[0077] The MDT data includes cell identifiers. The list of primary serving cells, including cell A and cell B, is extracted from the MDT data. Around the building, 12 sampling grids primarily cover cell A, and 14 sampling grids primarily cover cell B. Among the indoor sampling points, 4 indoor sampling points primarily serve cell A, and 4 indoor sampling points primarily serve cell B.

[0078] The data identification method provided in this invention makes a preliminary distinction between indoor and outdoor data based on the building layer of home broadband users, which provides a foundation for the construction of an indoor and outdoor data identification model, so as to distinguish between indoor and outdoor MR data of the surrounding network equipment of home broadband buildings and achieve high-precision positioning of the indoor and outdoor locations of terminals.

[0079] Optionally, determining the outdoor grid of the target community based on the indoor and outdoor data recognition model includes:

[0080] Determine the target indoor sampling point within the first region that is closest to the target cell, and the distance between the target indoor sampling point and the target cell is the first distance;

[0081] If the second distance between the target grid in the second area and the target cell is less than the first distance, the target grid is determined to be the outdoor grid of the target cell.

[0082] Figure 3 This is one of the schematic diagrams of constructing an indoor and outdoor data recognition model provided in an embodiment of the present invention, such as... Figure 3 As shown, the distance between each indoor sampling point in the horizontal direction of cell A and cell A is determined, and the target indoor sampling point AA1 that is closest to cell A is obtained. The distance between the target indoor sampling point AA1 and cell A is denoted as the first distance SS1.

[0083] Determine the second distance ASn between each sampling grid An and cell A, where n ranges from 1 to 12. Compare each ASn with SS1; if the value of ASn is less than the value of SS1, determine that the corresponding sampling grid is an outdoor grid of cell A. The formula for calculating the difference ACn between ASn and SS1 is:

[0084] ACn = SS1 - ASn

[0085] Where ACn is the difference between the first distance and the second distance, SS1 is the first distance between the target indoor sampling point AA1 and cell A, ASn is the second distance between each sampling grid corresponding to cell A and cell A, and n takes the value of 1-12.

[0086] When ACn is positive, the corresponding sampling grid is determined to be the outdoor grid of cell A. Finally, A4-A7 are the outdoor grids that are covered in the same direction as cell A, and their corresponding MDT data are the outdoor data of cell A.

[0087] Figure 4 This is a second schematic diagram of constructing an indoor and outdoor data recognition model provided in an embodiment of the present invention, as shown below. Figure 4 As shown, the distance between each indoor sampling point in the horizontal direction of cell B and cell B is determined, and the target indoor sampling point BB1 that is closest to cell B is obtained. The distance between the target indoor sampling point BB1 and cell B is denoted as SS2.

[0088] Determine the distance BSn between each sampling grid Bn and cell B, where n ranges from 1 to 14. Compare each BSn with SS2; if the value of BSn is less than the value of SS2, determine that the corresponding sampling grid is an outdoor grid of cell B. The formula for calculating the difference BCn between BSn and SS2 is:

[0089] BCn = SS2 - BSn

[0090] Wherein, BCn is the difference between the first distance and the second distance, SS2 is the first distance between the target indoor sampling point BB1 and cell B, BSn is the second distance between each sampling grid corresponding to cell B and cell B, and n takes the value of 1-14.

[0091] When BCn is positive, the corresponding sampling grid is determined to be the outdoor grid of cell B. Finally, B2-B5 are the outdoor grids covered by cell B in the same direction, and their corresponding MDT data are the outdoor data of cell B.

[0092] The data identification method provided in this embodiment of the invention obtains the outdoor grid corresponding to the cell of the home broadband building surrounding coverage network equipment by constructing an indoor and outdoor data identification model, so as to distinguish the indoor and outdoor MR data of the home broadband building surrounding coverage network equipment and realize high-precision positioning of the indoor and outdoor locations of the terminal.

[0093] Optionally, determining the indoor MR data of the target cell based on the outdoor grid measurement report MR data includes:

[0094] Determine the minimum value of the reference signal received power (RSRP) in the MR data of the outdoor grid;

[0095] If the RSRP of the target MR data in the first region is less than the minimum value, the target MR data is determined to be the indoor MR data.

[0096] Specifically, the indoor and outdoor data of the target cell are further distinguished based on the signal strength of the outdoor grid of the target cell.

[0097] Figure 5 This is a schematic diagram comparing indoor and outdoor signal strength provided in an embodiment of the present invention, as shown below. Figure 5 As shown, quadrilaterals represent indoor sampling points of the target cell, triangles represent outdoor grids of the target cell, and numbers represent RSRP values. All MR data from each outdoor grid in the same direction of the target cell are extracted, and the sampling grid with the weakest RSRP is determined; the corresponding RSRP value is denoted as X.

[0098] MR data from each indoor sampling point in the same direction of the target cell is extracted. The MR data includes RSRP values, and each RSRP value is compared with X. When the indoor MR RSRP value is greater than X, that is, the signal strength is stronger than the signal strength of the weakest outdoor sampling grid, the MR data is determined to be the indoor MR data of the target cell; when the indoor MR RSRP value is less than X, that is, the signal strength is weaker than the signal strength of the weakest outdoor sampling grid, the MR data is determined to be the outdoor MR data of the target cell.

[0099] The formula for calculating the difference in indoor and outdoor coverage signal strength Sn of the target cell is as follows:

[0100] Sn=X-Mn

[0101] Where Sn is the difference in signal strength between indoor and outdoor coverage in the same direction in the target cell, X is the minimum RSRP value in the outdoor grid of the target cell, Mn is the RSRP value in the MR data of the indoor sampling point of the target cell, and n is a positive integer.

[0102] The data identification method provided in this invention uses the minimum RSRP value in the outdoor grid as a benchmark to further judge the MR data of indoor sampling points to obtain the indoor MR data of the target cell. This achieves the distinction between indoor and outdoor data of the building location of home broadband users and enables high-precision positioning of the indoor and outdoor locations of terminals.

[0103] The data recognition method provided by the present invention will be described below with a specific embodiment. Figure 6 This is a second schematic flowchart of the data recognition method provided in this embodiment of the invention, as shown below. Figure 6 As shown, the method includes:

[0104] Step 601: Obtain MDT data for the residential broadband user's building and surrounding area. Based on the building layer of the building where the residential broadband user is located, perform preliminary differentiation of the MDT data. Using the building layer border as the boundary, obtain the data for the building's interior and surrounding area.

[0105] The MDT data around the building is rasterized to obtain multiple sampling grids. For the MDT data inside the building, multiple indoor sampling points are obtained based on the latitude and longitude information carried in the MDT data.

[0106] Step 602: Obtain the list of primary serving cells occupied in the MDT data. The MDT data includes cell identifiers, which can be used to obtain the list of primary serving cells within a certain range of the building and surrounding area of ​​the home broadband user.

[0107] Step 603: Preliminarily determine the indoor and outdoor data corresponding to each cell. Based on the correspondence between MDT data and cell identifiers, obtain the sampling grid and indoor sampling points corresponding to each master cell.

[0108] Step 604: Construct an indoor and outdoor data recognition model. Calculate the distance between each indoor sampling point and the target cell in the horizontal direction of the target cell coverage, and obtain the closest indoor sampling point. The distance between the two is recorded as the first distance.

[0109] Calculate the second distance between each sampling grid corresponding to the target cell and the target cell. When the second distance is less than the first distance, determine that the corresponding sampling grid is an outdoor grid of the target cell.

[0110] Step 605: Determine indoor MR data. Based on the outdoor grid MR data determined in step 604, identify the sampling grid with the weakest RSRP, and denote the corresponding RSRP value as X.

[0111] Extract each MR data point within the target cell's co-directional coverage area and compare the RSRP value with X for each MR data point. If the indoor MR RSRP is less than X, indicating a weaker signal strength than the outdoor signal, the MR data point is determined to be indoor MR data; if the indoor MR RSRP is greater than X, indicating a stronger signal strength than the outdoor signal, the MR data point is also determined to be indoor MR data.

[0112] Figure 7 This is a schematic diagram of the structure of the data recognition device provided in an embodiment of the present invention, as shown below. Figure 7 As shown, an embodiment of the present invention provides a data identification device, including:

[0113] The first determining module 701 is used to determine the outdoor grid of the target cell based on the indoor and outdoor data recognition model; the indoor and outdoor data recognition model is established based on the minimized drive test MDT data of the target cell;

[0114] The second determining module 702 is used to determine the indoor MR data of the target cell based on the MR data of the outdoor grid measurement report.

[0115] Optionally, the device further includes:

[0116] The third determining module is used to determine the sampling points and corresponding MDT data of the target cell within a preset area.

[0117] Optionally, the third determining module includes:

[0118] The acquisition submodule is used to acquire MDT data within the preset area;

[0119] The processing submodule is used to rasterize the MDT data within the preset area based on the building layer of the preset area, and to divide the preset area into a first area and a second area;

[0120] The first determining submodule is used to determine the sampling point and corresponding MDT data of the target cell based on the cell identifier in the MDT data; the sampling point includes indoor sampling points in the first area and sampling grids in the second area.

[0121] Optionally, the first determining module includes:

[0122] The second determining submodule is used to determine the target indoor sampling point in the first area that is closest to the target cell, and the distance between the target indoor sampling point and the target cell is the first distance;

[0123] The third determining submodule is used to determine that the target grid is an outdoor grid of the target cell when the second distance between the target grid in the second area and the target cell is less than the first distance.

[0124] Optionally, the second determining module includes:

[0125] The fourth determining submodule is used to determine the minimum value of the reference signal received power (RSRP) in the MR data of the outdoor grid;

[0126] The fifth determination submodule is used to determine the target MR data as the indoor MR data if the RSRP of the target MR data in the first area is less than the minimum value.

[0127] It should be noted that the data recognition device provided in this embodiment of the invention can implement all the method steps implemented in the above method embodiment and can achieve the same technical effect. Here, the parts that are the same as those in the method embodiment and the beneficial effects will not be described in detail.

[0128] The terminal involved in the embodiments of the present invention may be a device that provides voice and / or data connectivity to a user, a handheld device with wireless connectivity, or other processing devices connected to a wireless modem. The name of the terminal device may differ in different systems; for example, in a 5G system, the terminal device may be called a User Equipment (UE).

[0129] The network device involved in the embodiments of the present invention can be a base station, which may include multiple cells providing services to terminals. Depending on the specific application, a base station may also be called an access point, or a device in an access network that communicates with wireless terminal devices through one or more sectors on the air interface, or other names.

[0130] Figure 8 This is a schematic diagram of the structure of the electronic device provided in the embodiment of the present invention, such as... Figure 8 As shown, the electronic device may include: a processor 801, a communication interface 802, a memory 803, and a communication bus 804, wherein the processor 801, the communication interface 802, and the memory 803 communicate with each other via the communication bus 804. The processor 801 can call a computer program stored in the memory 803 to execute the steps of the data identification method, such as including:

[0131] The outdoor grid of the target cell is determined based on the indoor and outdoor data recognition model; the indoor and outdoor data recognition model is established based on the minimized drive test MDT data of the target cell.

[0132] The indoor MR data of the target cell is determined based on the MR data from the outdoor grid measurement report.

[0133] Furthermore, the logical instructions in the aforementioned memory 803 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0134] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which, when executed by a computer, enable the computer to perform the steps of the above-described data recognition method, for example including:

[0135] The outdoor grid of the target cell is determined based on the indoor and outdoor data recognition model; the indoor and outdoor data recognition model is established based on the minimized drive test MDT data of the target cell.

[0136] The indoor MR data of the target cell is determined based on the MR data from the outdoor grid measurement report.

[0137] On the other hand, embodiments of the present invention also provide a processor-readable storage medium storing a computer program for causing the processor to perform the steps of the above-described data recognition method, such as including:

[0138] The outdoor grid of the target cell is determined based on the indoor and outdoor data recognition model; the indoor and outdoor data recognition model is established based on the minimized drive test MDT data of the target cell.

[0139] The indoor MR data of the target cell is determined based on the MR data from the outdoor grid measurement report.

[0140] The processor-readable storage medium can be any available medium or data storage device that the processor can access, including but not limited to magnetic memory (e.g., floppy disk, hard disk, magnetic tape, magneto-optical disk (MO)), optical memory (e.g., CD, DVD, BD, HVD), and semiconductor memory (e.g., ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)).

[0141] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0142] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data recognition method, characterized in that, include: Obtain the minimum drive test MDT data of the target cell within the preset area; Based on the building layer of the preset area, the MDT data within the preset area is rasterized, and the preset area is divided into a first area and a second area; The sampling points and corresponding MDT data of the target cell are determined based on the cell identifier in the MDT data; the sampling points include indoor sampling points in the first area and sampling grids in the second area; The outdoor grid of the target cell is determined based on an indoor / outdoor data recognition model; the indoor / outdoor data recognition model is established based on the MDT data of the target cell. The indoor MR data of the target cell is determined based on the MR data from the outdoor grid measurement report; The step of determining the outdoor grid of the target community based on the indoor and outdoor data recognition model includes: Determine the target indoor sampling point within the first area that is closest to the target cell, and the distance between the target indoor sampling point and the target cell is the first distance; The target grid within the second area whose second distance from the target cell is less than the first distance is identified as the outdoor grid of the target cell.

2. The data identification method according to claim 1, characterized in that, The determination of indoor MR data for the target cell based on the outdoor grid measurement report MR data includes: Determine the minimum value of the reference signal received power (RSRP) in the MR data of the outdoor grid; If the RSRP of the target MR data in the first region is less than the minimum value, the target MR data is determined to be the indoor MR data.

3. A data identification device, characterized in that, include: The third determining module includes: The acquisition submodule is used to acquire the minimum drive test MDT data of the target cell within a preset area; The processing submodule is used to rasterize the MDT data within the preset area based on the building layer of the preset area, and to divide the preset area into a first area and a second area; The first determining submodule is used to determine the sampling point and corresponding MDT data of the target cell based on the cell identifier in the MDT data; the sampling point includes indoor sampling points in the first area and sampling grids in the second area; The first determining module is used to determine the outdoor grid of the target cell based on an indoor / outdoor data recognition model; the indoor / outdoor data recognition model is established based on the MDT data of the target cell. The second determining module is used to determine the indoor MR data of the target cell based on the MR data of the outdoor grid measurement report; The first determining module includes: The second determining submodule is used to determine the target indoor sampling point in the first area that is closest to the target cell, wherein the distance between the target indoor sampling point and the target cell is a first distance; The third determining submodule is used to determine that the target grid in the second area, whose second distance from the target cell is less than the first distance, is the outdoor grid of the target cell.

4. The data identification device according to claim 3, characterized in that, The second determining module includes: The fourth determining submodule is used to determine the minimum value of the reference signal received power (RSRP) in the MR data of the outdoor grid; The fifth determination submodule is used to determine the target MR data as the indoor MR data if the RSRP of the target MR data in the first area is less than the minimum value.

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