Wireless network performance analysis method, device and system

Abstract

The present disclosure provides a wireless network performance analysis method, device and system, which belongs to the field of communication technology. The method includes: obtaining user call list data and the industrial parameter data of each base station, the user call list data includes: the longitude and latitude of the user service initiation or service release, and the industrial parameter data includes the longitude and latitude of the base station sector; according to the longitude and latitude of the user call list data, an airspace model is modeled; data information is associated with each airspace unit in the airspace model, and the data information includes the industrial parameter data of the base station occupied by the user call list data; according to the data information associated with each airspace unit in the airspace model and the industrial parameter data of each base station, a target image is drawn according to preset rules; according to the image features of the target image, the network performance of the network corresponding to the target image is analyzed. Based on the wireless network performance analysis method provided by the embodiment of the present disclosure, the problem of low accuracy in judging network performance problems, which leads to the inability to timely optimize network performance, can be solved.

Description

Technical Field

[0001] The present disclosure belongs to the field of communication technology, and specifically relates to a wireless network performance analysis method, device and system. Background Art

[0002] With the development of communication technology, in order to provide users with better communication services, network performance can usually be analyzed so as to optimize the network performance in a targeted manner.

[0003] At present, the method used to judge the network performance of 4G / 5G networks is mainly to use logical algorithms to judge possible network performance problems through the collation and analysis of test data, such as road test data, background performance data and other wireless network performance data.

[0004] However, the above judgment method mainly analyzes a small amount of road test data and base station performance data. The data volume is limited, which leads to low accuracy in judging many network performance problems and makes it impossible to optimize network performance in a timely manner. Summary of the invention

[0005] The purpose of the embodiments of the present disclosure is to provide a wireless network performance analysis method, device and system, which can solve the problem that the accuracy of judging network performance problems is low, resulting in the inability to optimize network performance in a timely manner.

[0006] In order to solve the above technical problems, the present disclosure is implemented as follows:

[0007] In a first aspect, an embodiment of the present disclosure provides a method for analyzing wireless network performance, the method comprising: obtaining user call list data and industrial parameter data of each base station, the user call list data comprising: the longitude and latitude of the user service initiation or service release, the industrial parameter data comprising the longitude and latitude of the base station sector; modeling an airspace model based on the longitude and latitude of the user call list data; associating data information with each airspace unit in the airspace model, the data information comprising the industrial parameter data of the base station occupied by the user call list data; drawing a target image according to preset rules based on the data information associated with each airspace unit in the airspace model and the industrial parameter data of each base station; and analyzing the network performance of the network corresponding to the target image based on the image features of the target image.

[0008] In a second aspect, an embodiment of the present disclosure provides a wireless network performance analysis device, which includes: a user call list data acquisition module, a base station working parameter acquisition module, an airspace modeling module, an information association module, and a network performance analysis module; the user call list data acquisition module is used to acquire user call list data, and the user call list data includes: the longitude and latitude of the user service initiation or release; the base station working parameter acquisition module is used to acquire the working parameter data of each base station, and the working parameter data includes the longitude and latitude of the base station sector; the airspace modeling module is used to establish an airspace model according to the longitude and latitude of the user call list data; the information association module is used to associate data information with each airspace unit in the airspace model, and the data information includes the base station working parameter data occupied by the user call list data; the network performance analysis module is used to draw a target image according to preset rules based on the data information associated with each airspace unit in the airspace model and the working parameter data of each base station, and analyze the network performance of the network corresponding to the target image according to the image features of the target image.

[0009] In a third aspect, an embodiment of the present disclosure provides a wireless network performance analysis system, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, and when the program or instruction is executed by the processor, the steps of the wireless network performance analysis method described in the first aspect are implemented.

[0010] In a fourth aspect, an embodiment of the present disclosure provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the wireless network performance analysis method as described in the first aspect are implemented.

[0011] In a fifth aspect, an embodiment of the present disclosure provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the wireless network performance analysis method as described in the first aspect.

[0012] In a sixth aspect, an embodiment of the present disclosure provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the steps of the wireless network performance analysis method as described in the first aspect.

[0013] In the embodiment of the present disclosure, first, the wireless network performance analysis system can obtain user call list data and the working parameter data of each base station; then, the wireless network performance analysis system can establish an airspace model according to the latitude and longitude of the user call list data; then, the wireless network performance analysis system associates data information for each airspace in the airspace model, and draws a target image according to preset rules according to the data information associated with each airspace unit in the airspace model and the working parameter data of each base station, and finally analyzes the network performance of the network corresponding to the target image according to the image features of the drawn target image. The embodiment of the present disclosure can use a large number of online users as testers, establish an airspace model based on a large number of user call list data, and then associate the call list location with the base station sector location, and analyze the wireless network performance through the image features presented by the drawn image. Compared with the related art that only analyzes the network performance of a certain item or a certain location by using the road test or the fixed-point test based on the independent cell performance data, it can comprehensively and systematically analyze the overall problems existing in the wireless network, shorten the time of network performance analysis, and improve the accuracy of network problem judgment. For network failures that cannot be analyzed in the related art, they can also be quickly determined from the image features, so as to provide support for the rapid resolution of network failures and timely network performance tuning. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of a communication scenario provided in an embodiment of the present disclosure;

[0015] Figure 2 A flowchart of a wireless network performance analysis method provided by an embodiment of the present disclosure;

[0016] Figure 3 A schematic diagram of a target reference point of an airspace model provided in an embodiment of the present disclosure;

[0017] Figure 4 A schematic diagram of an airspace model provided in an embodiment of the present disclosure;

[0018] Figure 5 A schematic diagram of the positional relationship between user call list data and airspace units provided in an embodiment of the present disclosure;

[0019] Figure 6 A schematic diagram of a target image provided by an embodiment of the present disclosure;

[0020] Figure 7 A possible structural diagram of a wireless network performance analysis device provided by an embodiment of the present disclosure;

[0021] Figure 8 A possible structural diagram of a wireless network performance analysis system provided by an embodiment of the present disclosure;

[0022] Fig. 9 A hardware schematic diagram of a wireless network performance analysis system provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0024] The terms "first", "second", etc. in the specification and claims of the present disclosure are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable when appropriate, so that the embodiments of the present disclosure can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0025] It is worth noting that the technology described in the embodiments of the present disclosure is not limited to LTE (Long Term Evolution) / LTE-A (LTE-Advanced, LTE evolution) systems, but can also be used in other wireless communication systems, such as CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), FDMA (Frequency Division Multiple Access), OFDMA (Orthogonal Frequency Division Multiple Access), SC-FDMA (Single-carrier Frequency-Division Multiple Access) and other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned systems and radio technologies as well as for other systems and radio technologies. However, the following description describes the NR system for example purposes, and the NR terminology is used in most of the following descriptions, although these technologies can also be applied to applications other than NR system applications, such as 6G (6th Generation) communication systems.

[0026] Figure 1 A communication scenario diagram provided for an embodiment of the present disclosure includes a server 100, at least one base station 101, and at least one UE 102. The server 100 can draw a target image by establishing an airspace model based on the engineering parameter data of each base station 101 and the user call list data of the UE 102, and analyze the wireless network performance of the sectors of each base station based on the image features of the target image.

[0027] The wireless network performance analysis method provided by the embodiment of the present disclosure is described in detail below through specific embodiments and application scenarios in conjunction with the accompanying drawings.

[0028] Figure 2 A flowchart of a wireless network performance analysis method provided by an embodiment of the present disclosure is shown in FIG. Figure 2 As shown in , the method includes the following S201 to S205:

[0029] S201. A wireless network performance analysis system obtains user call list data and operation parameter data of each base station.

[0030] Among them, user call data includes: the longitude and latitude of the user service initiation or service release. Base station engineering parameter data includes the longitude and latitude of the base station sector.

[0031] In the embodiment of the present disclosure, the longitude and latitude can be accurate to six decimal places.

[0032] It should be noted that the wireless network performance analysis system can obtain the user call list data and base station working parameter data in the background respectively.

[0033] Exemplarily, the user call list data may also include the name of the base station occupied by the user service, the ID of the occupied base station, the name of the occupied sector, the ID of the occupied sector, and the occupied frequency (or frequency point).

[0034] Specifically, the user call bill data can be obtained through a backend user call bill report generated by the wireless network system.

[0035] Exemplarily, the engineering parameter data of a base station can be based on a single sector and may include: the name of the base station, the name of the sector, the ID of the base station, the ID of the sector, the longitude of the base station, the latitude of the base station, the model of the antenna, the height of the antenna, the pitch angle of the antenna, the azimuth angle of the antenna, coverage area classification, etc.

[0036] Specifically, the engineering parameter data of the base station can be obtained through engineering design and engineering maintenance optimization work.

[0037] Optionally, the wireless network performance analysis system may select to extract data during busy hours when extracting data, and collect a large amount of data for processing and analysis based on processing capabilities.

[0038] S202. The wireless network performance analysis system establishes an airspace model according to the latitude and longitude of the user call log data.

[0039] It should be noted that in the embodiment of the present disclosure, the user call record data can be divided into airspace units according to the longitude and latitude, and each airspace unit constitutes an airspace model.

[0040] It should be noted that the longitude and latitude of the user call record data indicate the longitude and latitude at which the service corresponding to the call record is initiated or released.

[0041] S203: The wireless network performance analysis system associates data information with each airspace unit in the airspace model.

[0042] Among them, the data information associated with the airspace unit includes the working parameter data of the base station occupied by the user call list data.

[0043] Specifically, the wireless network performance analysis system can associate data information based on the latitude and longitude of the user call record data and the location of the airspace unit.

[0044] S204. The wireless network performance analysis system draws a target image according to preset rules based on the data information associated with each airspace unit in the airspace model and the working parameter data of each base station.

[0045] Exemplarily, the wireless network performance analysis system may draw a target image according to preset rules based on the position relationship between the position of the airspace unit of the user call list data in the airspace model and the position of the base station sector occupied by the user call list data.

[0046] S205. The wireless network performance analysis system analyzes the network performance of the network corresponding to the target image according to the image features of the target image.

[0047] Exemplarily, the image features of the target image may include image features of each sector of each base station after being drawn.

[0048] Exemplarily, in the embodiments of the present disclosure, based on the image features in the target image, it can be analyzed whether the sector of the base station can provide services; it can be analyzed whether there is mode 3 interference between the sectors (or cells) of adjacent base stations; it can be analyzed whether the signal of the sector (or cell) is over-covered or under-covered; it can be analyzed whether the antenna feed of the sector (or cell) is connected incorrectly, and whether the angle of the antenna feed is too large or too small.

[0049] It can be understood that after the wireless network performance analysis system analyzes the network problem, it can output fault prompt information to prompt the sector and base station where the fault exists, so that maintenance personnel can quickly locate the fault and the fault point.

[0050] In the wireless network performance analysis method provided by the embodiment of the present disclosure, first, the wireless network performance analysis system can obtain user call list data and the working parameter data of each base station; then, the wireless network performance analysis system can establish an airspace model according to the latitude and longitude of the user call list data; then, the wireless network performance analysis system associates data information for each airspace in the airspace model, and draws a target image according to preset rules based on the data information associated with each airspace unit in the airspace model and the working parameter data of each base station, and finally analyzes the network performance of the network corresponding to the target image according to the image features of the drawn target image. The embodiment of the present disclosure can use a large number of online users as testers, establish an airspace model based on a large number of user call list data, and then associate the call list location with the base station sector location, and analyze the wireless network performance through the image features presented by the drawn image. Compared with the related art that only analyzes the network performance of a certain item or a certain location by using the road test or the fixed-point test based on the independent cell performance data, the overall problems existing in the wireless network can be comprehensively and systematically analyzed, the time of network performance analysis can be shortened, and the accuracy of network problem judgment can be improved. For network failures that cannot be analyzed in the related art, they can also be quickly determined from the image features, thereby providing support for rapid resolution of network failures and timely network performance tuning.

[0051] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the target image is an image of a single frequency. The wireless network performance analysis system can analyze the network performance of one frequency at a time through one image, or can analyze the network performance of multiple frequencies at a time through multiple images, which is not specifically limited in the embodiment of the present disclosure.

[0052] Optionally, in the above S201, the wireless network performance analysis system can directly obtain user call record data of a single frequency for modeling analysis, or can first obtain user call record data of all frequencies for modeling, and then draw images corresponding to each frequency separately when drawing images.

[0053] Furthermore, the above S202 can be implemented through the following steps: the wireless network performance analysis system uses the latitude and longitude of user call record data with a frequency of the target frequency to build a spatial model; wherein the target image is an image corresponding to the target frequency.

[0054] Based on this solution, the wireless network performance analysis system can select the wireless network performance of a single frequency for analysis as needed, and can combine the image features of the target image corresponding to the single frequency to accurately and quickly analyze the network problems that exist in the wireless network of a single frequency. The fast analysis speed can help maintenance personnel quickly troubleshoot and optimize the network.

[0055] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above S202 may be specifically performed by the following S22a to S22c:

[0056] S22a. The wireless network performance analysis system determines the target reference point of the airspace model according to the longitude and latitude of the user call log data.

[0057] Among them, the target reference points of the airspace model include: a first reference point and a second reference point; the first reference point is a reference point composed of the minimum longitude and minimum latitude of the user call list data, and the second reference point is a reference point composed of the maximum longitude and maximum latitude of the user call list data.

[0058] It should be noted that the first reference point is the starting reference point of the airspace model, and the second reference point is the reference point in the airspace model whose longitude and latitude cannot be exceeded.

[0059] Specifically, the wireless network performance analysis system can first obtain the minimum longitude, minimum latitude, maximum longitude and maximum latitude in the user call record data; then use the minimum longitude and minimum latitude as the origin of the coordinate system (the first reference point), and use the maximum longitude and maximum latitude as the edge points of longitude and latitude (the second reference point).

[0060] For example, Figure 3 A schematic diagram of a target reference point of an airspace model is provided for an embodiment of the present disclosure. Figure 3 As shown in , the horizontal axis represents longitude, the vertical axis represents latitude, and the minimum longitude is defined as A0, the minimum latitude is defined as B0, the maximum longitude is defined as C0, and the maximum latitude is defined as D0. (A0, B0) is defined as the first reference point, and (C0, D0) is defined as the second reference point.

[0061] S22b. The wireless network performance analysis system constructs each reference point of the airspace model based on the target reference point of the airspace model according to the longitude increment value and the latitude increment value.

[0062] Optionally, the longitude increment value and the latitude increment value may be the same or different, and this is not specifically limited in the embodiments of the present disclosure.

[0063] It should be noted that for the same increase in distance, the longitude increment values ​​in the longitude direction and the latitude direction are different. In terms of geographical location, for every increase of L meters in the longitude direction, the longitude increases by T1, and for every increase of L meters in the latitude direction, the latitude increases by T2, and T1≠T2.

[0064] For example, T1 is the longitude increment value in the longitude direction, T2 is the latitude increment value in the latitude direction, T1 is the longitude value and T2 is the latitude value. For the longitude direction, starting from A0, the longitude increment of each reference point is T1, then the longitude of the reference point is A 1＝ A 0+ T1, A2=A1+T1,..., An=A n-1 +T1; for the latitude direction, starting from B0, the latitude increment of each reference point is T2, so the latitude of the reference points is B1=B0+T2, B2=B1+T2, ..., Bm=B m-1 +T2.

[0065] S22c. The wireless network performance analysis system constructs an airspace unit of the airspace model according to the reference point of the airspace model.

[0066] For example, Figure 4 A schematic diagram of an airspace model provided in an embodiment of the present disclosure. Figure 4 As shown in , An≤C0, Bm≤D0, An-1≥A0, Bm-1≥B0, n and m are positive integers. The specific modeling process is as follows: first, according to the minimum longitude and minimum latitude determined above, determine the benchmark (A0, B0) of the airspace model, then determine A1, A2, ..., An, B1, B2, ..., Bm according to the longitude increment and latitude increment; then mark each benchmark point according to the longitude and longitude increment, as shown in Figure 4 As shown in , a quadrilateral formed by every four reference points is regarded as a spatial unit. Thus, a spatial model is constructed.

[0067] It should be noted that, in order to facilitate the marking of each airspace unit, an airspace unit may be identified by at least one reference point in each directional area. For example, the airspace unit may be identified by a reference point at any corner of each airspace unit, or by the reference points at the lower left and upper right of each airspace unit, or by all the reference points of the airspace unit, which is not specifically limited in the embodiments of the present disclosure.

[0068] Exemplarily, the airspace unit is identified by the latitude and longitude of the lower left corner reference point and the latitude and longitude of the upper right corner reference point of each square area. The position identification of each airspace unit is determined, for example: (A0, B0) / (A1, B1), (An-1, B0) / (An, B1), (A0, Bm-1) / (A1, Bm), (An-1, Bm-1) / (An, Bm), etc. The specific representation method can also be shown in Table 1.

[0069] Table 1

[0070] Longitude of lower left reference point Latitude of lower left reference point Longitude of upper right reference point Upper right reference point latitude A0 B0 A1 B1 ...... ...... ...... ...... An-1 B0 An B1 ...... ...... ...... ...... A0 Bm-1 A1 Bm ...... ...... ...... ...... An-1 Bm-1 An Bm

[0071] Assuming that the length of the airspace unit in the longitude direction and the length in the latitude direction of the airspace model are equal and both are 50 meters, the longitude increase value of each airspace unit in the longitude direction is T0 = 0.0005 degrees (the corresponding length value is accurate to meters), and the latitude increase value in the latitude direction is T1 = 0.00045 (the corresponding length value is accurate to meters). The identification data (partial data) of the airspace unit is shown in Table 2 below.

[0072] Table 2

[0073] Lower left corner longitude Lower left corner latitude Upper right corner longitude Upper right corner latitude 116.915832 38.868075 116.916332 38.868525 116.915832 38.868525 116.916332 38.868975 116.915832 38.869425 116.916332 38.869875 116.915832 38.868975 116.916332 38.869425 116.915832 38.870325 116.916332 38.870775 116.915832 38.871675 116.916332 38.872125 116.915832 38.873475 116.916332 38.873925 116.915832 38.870775 116.916332 38.871225 116.915832 38.869875 116.916332 38.870325 116.915832 38.872125 116.916332 38.872575 116.915832 38.871225 116.916332 38.871675

[0074] Optionally, in the wireless network performance analysis method provided by the embodiment of the present disclosure, the longitude increment value and the latitude increment value are associated with the network scenario.

[0075] Exemplarily, the network scenario is associated with the density of communication, such as a rural scenario, a suburban scenario, and an urban scenario.

[0076] Different values ​​can be set according to the communication scenario, specifically according to the communication density. For example, the rural scenario can be set to not less than 50 meters, or not less than 100 meters, and the urban scenario can be set to not less than 25 meters, or not less than 50 meters, etc.

[0077] For ease of description, in the schematic diagram of the airspace model provided in the embodiment of the present disclosure, an example is used to illustrate that the increment size in the longitude direction is the same as the increment size in the latitude direction.

[0078] Based on this scheme, the wireless network performance analysis system can establish an airspace model related to the longitude and latitude in the user call record data based on the above-mentioned mathematical modeling method. The wireless network performance analysis system can first determine the target reference point of the airspace model according to the longitude and latitude of the user call record data, and then construct each reference point in the airspace model with the target reference point, longitude increment value and latitude increment value, and then construct each airspace unit according to the reference point in the airspace model, so as to provide a reference position for the subsequent drawing of the target image, which is convenient for analyzing the image features of the target image.

[0079] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above S203 may be specifically performed by the following S23a to S23c:

[0080] S23a. The wireless network performance analysis system groups the user call record data according to the spatial units based on the longitude and latitude of the user call record data and the positional relationship between the spatial units.

[0081] Exemplarily, the wireless network performance analysis system may group the user call record data in the first airspace unit whose longitude and latitude are at the time of service initiation or release into the first airspace unit, and group the user call record data in the second airspace unit whose longitude and latitude are at the time of service initiation or release into the second airspace unit.

[0082] S23b. The wireless network performance analysis system pre-processes the user call list data in each airspace unit.

[0083] It should be noted that the call sheet data can be preprocessed according to the name of the base station occupied by the call sheet data in the airspace unit, the ID of the occupied base station, the ID of the occupied sector, the occupied frequency, and other information.

[0084] S23c. The wireless network performance analysis system deletes the airspace units with incomplete data in the preprocessed airspace model.

[0085] It should be noted that the above-mentioned S23c and S23b are not limited to the order of execution. For example, S23c can be executed before S23b or after S23b. The embodiment of the present disclosure does not make any specific limitation on this.

[0086] It can be understood that if the spatial domain model does not include user call record data, the spatial domain unit will be determined as an spatial domain unit with incomplete data. After grouping each user call record data and each spatial domain unit, the wireless network performance analysis system can delete the spatial domain unit where no call record data appears, so as to facilitate the subsequent drawing of clear image features.

[0087] Based on this solution, the user call list data can be sorted three times to first determine which airspace unit the user call list data corresponds to, then pre-process the data in the airspace unit, and delete the airspace units without user call list data, so as to obtain the airspace units that can characterize the performance of the wireless network.

[0088] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above S23a may be specifically implemented by the following S23a1 or S23a2:

[0089] S23a1. If the longitude and latitude of the first user's call record data are located within the first airspace unit, the wireless network performance analysis system associates the first user's call record data with the first airspace unit.

[0090] The first airspace unit is any airspace unit in the airspace model.

[0091] It can be understood that if the longitude and latitude of the first user's call record data are outside the first airspace unit, then the first user's call record data is irrelevant to the first airspace unit.

[0092] S23a2. If the longitude and latitude of the first user's call record data are located on the common edge of the first airspace unit and the second airspace unit, the wireless network performance analysis system associates the first user's call record data with the first airspace unit, and associates the first user's call record data with the second airspace unit.

[0093] For example, Figure 5 A schematic diagram of the position relationship between user call list data and airspace units provided in an embodiment of the present disclosure. Figure 5 As shown in (a), if the longitude and latitude of user P in user call data 1 are located in the airspace unit (Ax, By) / (Ax+1, By+1), then user call data 1 and airspace unit (Ax, By) / (Ax+1, By+1) are associated, and user call data 1 does not belong to other airspace units; Figure 5 As shown in (b) in FIG, if the longitude and latitude of user P in user call data 1 are outside the spatial unit (Ax, By) / (Ax+1, By+1), then user call data 1 is irrelevant to the spatial unit (Ax, By) / (Ax+1, By+1). Figure 5 As shown in (c), if the longitude and latitude of user P in user call record data 1 are located on the common edge of the spatial unit (Ax, By) / (Ax+1, By+1) and the spatial unit (Ax+1, By) / (Ax+2, By+1), then the user call record data 1 and the spatial unit (Ax, By) / (Ax+1, By+1) are associated, and the user call record data 1 and the spatial unit (Ax+1, By) / (Ax+2, By+1) are associated.

[0094] Based on this solution, the wireless network performance analysis system can associate user call record data whose longitude and latitude are in the airspace unit or on the edge of the airspace unit with the airspace unit, and associate user call record data whose longitude and latitude are outside the airspace unit with other airspace units, so that the association relationship between each call record data and each airspace unit can be quickly established to complete the grouping.

[0095] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above S23b may be performed by the following S23b1 and S23b2:

[0096] S23b1. The wireless network performance analysis system classifies the user call list data in the first airspace unit according to sectors.

[0097] It should be noted that the wireless network performance analysis system classifies user call list data in airspace units according to the sectors of the base stations.

[0098] For example, in an airspace unit, a part of the call record data occupies sector 1 of base station 1, then this part of the call record data is classified into one category, a part of the user call record data occupies sector 1 of base station 2, then this part of the call record data is classified into one category, and a part of the user call record data occupies sector 2 of base station 2, then this part of the call record data is classified into one category.

[0099] S23b1. The wireless network performance analysis system determines that the sector with the highest proportion of user call list data is the base station sector corresponding to the first airspace unit.

[0100] It can be understood that for the first airspace unit, the location of the user call bill data in the first airspace unit can be connected to the locations of multiple sectors, and the sector with the highest proportion of user call bill data among the multiple sectors is used as the base station sector corresponding to the first airspace unit.

[0101] Exemplarily, the user call bill data connected to sector 1 of base station 1 in airspace unit 1 accounts for 51% of the total user call bill data in the airspace unit 1, the user call bill data connected to sector 3 of base station 2 in airspace unit 1 accounts for 30% of the total user call bill data in the airspace unit 1, and the user call bill data connected to sector 2 of base station 3 in airspace unit 1 accounts for 19% of the total user call bill data in the airspace unit 1. Then, sector 1 of base station 1 is determined to be the base station sector corresponding to airspace unit 1.

[0102] Specifically, if the base station sector with the highest proportion of user call log data includes multiple sectors, the wireless network performance analysis system selects one of the multiple sectors as the sector corresponding to the first airspace unit.

[0103] Exemplarily, the user call record data in the first airspace unit at the longitude and latitude when the service is initiated or released is associated with the first airspace unit. Table 3 is an exemplary table of an association relationship (taking one airspace unit as an example). The 4 columns on the left are the identifiers of the airspace units. "MRNum" indicates the total number of call record data in the airspace unit, and the percentage indicates that the user call record data with sector ID 48 accounts for 58% of the user call record data in the airspace unit. Other information indicates the name, ID, longitude and latitude of the base station corresponding to the sector.

[0104] Table 3

[0105]

[0106] Based on this solution, the wireless network performance analysis system can classify the user call bill data in each airspace unit based on sectors, and then use the sector with the highest proportion of user call bill data in each airspace unit as the sector of the base station corresponding to each airspace unit.

[0107] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above-mentioned S23b1 can be specifically executed through the following steps: the wireless network performance analysis system classifies the user call list data in the airspace unit according to the name of the occupied base station, the ID of the base station, the occupied sector ID, and the frequency.

[0108] Specifically, user call record data of the same frequency point are classified into one category for processing.

[0109] It should be noted that, for a sector of a base station, the sector may be represented by multiple information, for example, a sector may be represented by combining the name of the base station, the ID of the base station, and the ID of the occupied sector.

[0110] Based on this solution, the wireless network performance analysis system can combine the occupied base station working parameters and the working parameter data of each base station in the user call record data, and classify the user call record data in each airspace unit based on the sector, so as to obtain call record data that can be accurately characterized for network analysis at a sector granularity, so that the image features drawn can be better prepared to characterize the network performance of each sector.

[0111] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above S204 may be performed by the following S24a:

[0112] S24a. The wireless network performance analysis system establishes a connection between the first airspace unit and a sector of the base station corresponding to the first airspace unit.

[0113] Different sectors of a base station are connected by lines of different colors, and the same sectors of different base stations are connected by lines of the same color.

[0114] Exemplarily, the wireless network performance analysis system connects the center position of the first airspace unit with the base station sector corresponding to the user call list data in the first airspace unit, that is, the point where the center longitude and latitude of the first airspace unit is located is connected with the base station sector used by the first airspace unit.

[0115] It can be understood that the wireless network performance analysis system can connect a single base station sector and a single airspace unit as units to perform data association again, that is, draw a target image.

[0116] For the sake of ease of explanation, it is assumed that the base station includes three sectors, namely sector 0, sector 1 and sector 2. When connecting any spatial unit and any sector 0, a line of color 1 is used, when connecting any spatial unit and any sector 1, a line of color 2 is used, and when connecting any spatial unit and any sector 2, a line of color 3 is used.

[0117] Exemplarily, it may be specified that sector 0 of the base station uses an orange line, sector 1 uses a green line, and sector 2 uses a blue line.

[0118] It should be noted that, in actual applications, the number of sectors of a base station may be more than 3 or less than 3, and the embodiments of the present disclosure do not specifically limit this.

[0119] Based on this solution, after determining the sector of the base station corresponding to each airspace unit, the wireless network performance analysis system connects the airspace unit to the sector of the base station, thereby obtaining the image features of each airspace unit and the base station sector in the airspace model, so that the wireless network performance analysis system analyzes the wireless network performance based on the image features of the connection between the sectors of each base station and the airspace unit.

[0120] Optionally, the image feature of the target image includes at least one of the following: color of the connecting line, length of the connecting line, and coverage area of ​​the connecting line.

[0121] It should be noted that the wireless network performance analysis system can determine whether there is an abnormality in the color of a sector based on the color of the lines connecting the sectors in the image; it can also determine whether the signal coverage of a sector is normal based on the length of the lines; it can also determine whether the antenna feed angle of the sector is normal based on the coverage area of ​​the lines, and whether there is any mode 3 interference between the sector and the same type of sectors of adjacent base stations.

[0122] It can be understood that the wireless network performance analysis system can analyze whether there is a problem with the wireless network of the sector or the sector and the adjacent sectors based on the color of the lines connecting the sectors in the target image, the difference in the length of the lines connecting the adjacent sectors, the coverage area of ​​the lines connecting the adjacent sectors, etc.

[0123] Based on this solution, after constructing an airspace model through user call list data, associating user call list data and base station working parameters through the airspace model, and drawing a target image, different wireless network problems can be analyzed in combination with the color, direction, area range, and direction of the angle of the area of ​​the connecting lines in the target image. A variety of network problems can be discovered through a single data analysis of image features. Through graphical presentation, network performance problems are presented accurately and clearly. Compared with the low problem judgment accuracy caused by insufficient data volume due to limited road test data analysis in related technologies, the analysis data used in the present disclosure can be the communication data of all users in the existing network. The presentation category, depth, and breadth of the problems are significantly improved, and the presentation of the problems is more comprehensive and accurate.

[0124] Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above S205 may be specifically performed by the following S25a, S25b, S25c, S25d, S25e, S25f or S25g:

[0125] S25a: If the sector connection line color of the first base station in the target image does not match the preset color, the wireless network performance analysis system determines that there is an error in the sector antenna feed connection direction of the first base station.

[0126] For example, if one sector of a base station in the target image is 1 sector according to regulations, and the other sector is 2 sectors according to regulations, but in the target image, the line connecting the position of the original sector 1 and the airspace unit is green, and the line connecting the position of the original sector 2 and the airspace unit is blue, it means that the antenna feeds of sectors 1 and 2 are connected reversely. The antenna feeds of sectors 1 and 2 can be adjusted.

[0127] Figure 6 This is a schematic diagram of a target image provided by an embodiment of the present disclosure. For ease of description, different types of line segments are used to represent different line colors, corresponding to different sectors. Figure 6 There are 7 base stations, namely A base station, B base station, C base station, D base station, E base station, F base station and G base station. Figure 6 It can be seen that the line segment colors of sector 1 and sector 2 of the E base station are different from the agreed line segment colors, which means that the antenna feeds of sector 1 and sector 2 of the E base station are connected reversely.

[0128] from Figure 6 It can be seen that the wireless networks of sectors 1 and 2 can provide services, but the antenna feeds of sectors 1 and 2 are connected in reverse. Therefore, the problem of whether the antenna feed direction is connected incorrectly can be quickly determined based on the direction of the color of the lines in the figure. The detection success rate of this problem can reach 100%.

[0129] S25b. If the area covered by the target sector of the first base station and the target sector of the second base station in the target image is greater than a preset threshold, the wireless network performance analysis system determines that there is mode 3 interference between the target sector of the first base station and the target sector of the second base station.

[0130] In the embodiment of the present disclosure, the preset threshold value can be set according to an empirical value, and the embodiment of the present disclosure does not specifically limit this.

[0131] Exemplarily, if the target sector of the first base station and the target sector of the second base station whose connecting lines are both blue in the figure cover the same area over a large area and overlap, it is determined that mode 3 interference exists and optimization processing can be performed.

[0132] Combination Figure 6 It can be seen that there is a large overlapping area between the line connecting sector 1 of base station C and the airspace unit, and the line connecting sector 1 of base station D and the airspace unit. It can be determined that there is mode 3 interference between sector 1 of base station C and sector 1 of base station D.

[0133] S25c. If the length of the connection between the first sector and the spatial unit in the target image is greater than the length of the connection between the adjacent sector and the spatial unit, the wireless network performance analysis system determines that the signal of the first sector is over-covered.

[0134] Exemplary, combined Figure 6 , if the length of the connection between sector 0 of base station A and the airspace unit is greater than the length of the connection between sector 2 of base station A and the airspace unit, it can be determined that the signal of sector 0 of base station A is over-covered.

[0135] S25d. If the length of the line between the first sector and the spatial unit in the target image is less than the length of the line between the adjacent sector and the spatial unit, the wireless network performance analysis system determines that the signal of the first sector is under-covered.

[0136] For example, in combination Figure 6 , if the length of the connection between sector 1 of base station A and the airspace unit is less than the length of the connection between sector 2 of base station A and the airspace unit, it can be determined that the signal of sector 1 of base station A is under-covered.

[0137] S25e: If the angle between the line covering the first sector and the airspace unit in the target image is outside the preset angle range, the wireless network performance analysis system determines that there is a problem with the antenna feed angle of the base station in the first sector.

[0138] Specifically, if the angle of the first sector in the target image is significantly larger or smaller than the angle of the adjacent sector, there is a problem with the antenna feed angle corresponding to the first sector.

[0139] It should be noted that, for a base station including three sectors, the preset angle range of each sector is [90°, 120°]. If the angle of sector 1 is less than 90° or greater than 120°, it is determined that there is a problem with the antenna feed angle of sector 1.

[0140] It should be noted that if there is a problem with the antenna feed angle of a sector, there is at least one sector with a problem with the antenna feed angle among the sectors adjacent to the sector.

[0141] For example, if the angle of sector 1 is too large, then when the angle of sector 0 is normal or too large, the angle of sector 1 is too small.

[0142] Combination Figure 6 As shown in , the angle between sector 1 of base station F and the spatial unit is significantly smaller than the angle between sector 0 and the spatial unit and the angle between sector 2 and the spatial unit. Therefore, it can be determined that the antenna feed angle of sector 1 of base station F is too small, and the angle between sector 0 of base station F and the spatial unit is significantly larger than the angle between sector 1 and the spatial unit and the angle between sector 2 and the spatial unit. Therefore, it can be determined that the antenna feed angle of sector 0 of base station F is too small.

[0143] S25f. If the first sector in the target image has no connection, the wireless network performance analysis system determines that the first sector is faulty.

[0144] It can be understood that if a sector in the target image is not connected to the airspace unit, that is, a network failure occurs in the sector, the UE cannot use the services provided by the wireless network of the sector. Therefore, the wireless network performance analysis system can output prompt information of the sector failure.

[0145] For example, in combination Figure 6 , sector 0 of base station C is not connected to the airspace unit, which means that sector 0 of base station C cannot provide wireless network services and there is a fault in sector 0.

[0146] S25g: If each sector of the first base station in the target image has no connection, the wireless network performance analysis system determines that the first base station is faulty.

[0147] It can be understood that if each sector of a base station in the target image has no connection with the airspace unit, a network failure occurs in each sector of the base station, indicating that the base station cannot provide network services to the UE, that is, the base station fails, such as power outage, and the wireless network performance analysis system can output prompt information about the base station failure.

[0148] For example, in combination Figure 6 , each sector of base station G has no connection with the airspace unit, then the entire sector of base station G cannot provide wireless network services to users. Therefore, it can be determined that base station G is faulty.

[0149] The wireless network performance analysis method provided by the embodiment of the present disclosure can statistically analyze the correspondence between the location information reported by the users of the base station background network and the location information of the base station sectors, and then perform mathematical modeling through the airspace unit of the user call list, and use different colored line segments to establish the internal connection between the user and the base station sector (or cell) through graphical presentation, and then analyze and judge whether the wireless network has network optimization problems that affect network performance, such as mode 3 interference, signal over-coverage, signal under-coverage, wrong antenna feed connection, too large or too small antenna feed angle, sector or base station failure, etc. through the image features presented in the image. By combining technologies such as big data analysis and image presentation, a time-saving, labor-saving, function-rich, accurate, effective, intuitive, and systematic network performance analysis method can be provided, which comprehensively and systematically analyzes the overall problems existing in the network, making network optimization more accurate and rapid, without the need for road testing or fixed-point testing of each base station, reducing labor costs and shortening the time to determine faults.

[0150] It should be noted that the wireless network performance analysis method provided in the embodiments of the present disclosure may also be executed by a wireless network performance analysis device, or a control module in the wireless network performance analysis device for executing the wireless network performance analysis method. In the embodiments of the present disclosure, the wireless network performance analysis device executing the wireless network performance analysis method is taken as an example to illustrate the wireless network performance analysis device provided in the embodiments of the present disclosure.

[0151] Figure 7 A schematic diagram of a wireless network performance analysis device provided by an embodiment of the present disclosure, such as Figure 7 As shown in, the wireless network performance analysis device 700 includes: a user call list data acquisition module 701, a base station working parameter acquisition module 702, an airspace modeling module 703, an information association module 704, and a network performance analysis module 705; the user call list data acquisition module 701 is used to obtain user call list data, and the user call list data includes: the longitude and latitude of the user service initiation or release; the base station working parameter acquisition module 702 is used to obtain the working parameter data of each base station, and the working parameter data includes the longitude and latitude of the base station sector; the airspace modeling module 703 is used to establish an airspace model according to the longitude and latitude of the user call list data; the information association module 704 is used to associate data information with each airspace unit in the airspace model, and the data information includes the base station working parameter data occupied by the user call list data; the network performance analysis module 705 is used to draw a target image according to preset rules based on the data information associated with each airspace unit in the airspace model and the working parameter data of each base station, and analyze the network performance of the network corresponding to the target image according to the image features of the target image.

[0152] Optionally, the airspace modeling module is specifically used to determine the target reference point of the airspace model according to the longitude and latitude of the user call record data; based on the target reference point of the airspace model, construct each reference point of the airspace model according to the longitude increment value and the dimension increment value; according to the reference point of the airspace model, construct the airspace unit of the airspace model; wherein the target reference point of the airspace model includes: a first reference point and a second reference point; the first reference point is a reference point composed of the minimum longitude and minimum latitude of the user call record data, and the second reference point is a reference point composed of the maximum longitude and maximum latitude of the user call record data.

[0153] Optionally, the longitude increment value and the latitude increment value are associated with a network scenario.

[0154] Optionally, the information association module is specifically used to group the user call record data according to the airspace units based on the latitude and longitude of the user call record data and the positional relationship between the airspace units; preprocess the user call record data in each airspace unit; and delete the airspace units with incomplete data in the preprocessed airspace model.

[0155] Optionally, the information association module is specifically used to associate the first user call record data with the first airspace unit if the longitude and latitude of the first user call record data are located within the first airspace unit; or, if the longitude and latitude of the first user call record data are located on the common edge of the first airspace unit and the second airspace unit, associate the first user call record data with the first airspace unit, and associate the first user call record data with the second airspace unit; wherein the first airspace unit is any one of the airspace units in the airspace model.

[0156] Optionally, the information association module is specifically used to classify the user call record data in the first airspace unit according to the base station sector; and determine that the sector with the highest proportion of user call record data is the base station sector corresponding to the first airspace unit.

[0157] Optionally, the information association module is specifically used to select one of the multiple sectors as the sector corresponding to the first airspace unit if the base station sector with the highest proportion of user call list data includes multiple sectors.

[0158] Optionally, the network performance analysis module is specifically used to establish a connection between the first airspace unit and the base station sector corresponding to the first airspace unit; wherein different sectors of the base station use lines of different colors, and the same sectors of different base stations use the same color.

[0159] Optionally, the image feature of the target image includes at least one of the following: color of the connecting line, length of the connecting line, and area covered by the connecting line.

[0160] Optionally, the network performance analysis module is specifically configured to determine that there is an error in the sector antenna feed connection direction of the first base station if the sector connection line color of the first base station in the target image does not match a preset color.

[0161] Optionally, the network performance analysis module is specifically used to determine that there is modulo three interference between the target sector of the first base station and the target sector of the second base station in the target image if the area covered by the target sector of the first base station and the target sector of the second base station in the target image is greater than a preset threshold.

[0162] Optionally, the network performance analysis module is specifically used to determine that the signal of the first sector is over-covered if the length of the connection between the first sector and the spatial unit in the target image is greater than the length of the connection between the adjacent sector and the spatial unit; or to determine that the signal of the first sector is under-covered if the length of the connection between the first sector and the spatial unit in the target image is less than the length of the connection between the adjacent sector and the spatial unit.

[0163] Optionally, the network performance analysis module is specifically used to determine that there is a problem with the antenna feed angle of the base station of the first sector if the difference between the angle covered by the line connecting the first sector and the spatial unit in the target image and the preset angle is outside a preset range.

[0164] Optionally, the network performance analysis module is specifically used to determine that the first sector is faulty if all first sectors in the target image are not connected; or to determine that the first base station is faulty if all sectors of the first base station in the target image are not connected.

[0165] Optionally, the airspace modeling module is specifically used to model an airspace model according to the latitude and longitude of user call record data with a usage frequency of the target frequency; wherein the target image is an image corresponding to the target frequency.

[0166] The disclosed embodiment provides a wireless network performance analysis device. First, the wireless network performance analysis device can obtain user call list data and the working parameter data of each base station; then, the wireless network performance analysis device can establish an airspace model according to the latitude and longitude of the user call list data; then, the wireless network performance analysis system associates data information for each airspace in the airspace model, and draws a target image according to preset rules according to the data information associated with each airspace unit in the airspace model and the working parameter data of each base station, and finally analyzes the network performance of the network corresponding to the target image according to the image features of the drawn target image. The disclosed embodiment can use a large number of online users as testers, establish an airspace model based on a large number of user call list data, and then associate the call list location with the base station sector location, and analyze the wireless network performance through the image features presented by the drawn image. Compared with the related art that only analyzes the network performance of a certain item or a certain location by using the road test or the fixed-point test based on the independent cell performance data, the overall problems existing in the wireless network can be analyzed comprehensively and systematically, the time of network performance analysis can be shortened, and the accuracy of network problem judgment can be improved. For network failures that cannot be analyzed in the related art, they can also be quickly determined from the image features, so as to provide support for the rapid resolution of network failures and timely network performance tuning.

[0167] The wireless network performance analysis device 700 provided in the embodiment of the present disclosure can realize Figures 1 to 6 To avoid repetition, the various processes implemented in the method embodiment will not be described again here.

[0168] Alternatively, if Figure 8As shown, the embodiment of the present disclosure also provides a wireless network performance analysis system 800, including a processor 801, a memory 802, and a program or instruction stored in the memory 802 and executable on the processor 801. When the program or instruction is executed by the processor 801, each process of the above-mentioned wireless network performance analysis method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0169] It should be noted that Fig. 9 The wireless network performance analysis system 900 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0170] like Fig. 9 As shown, the wireless network performance analysis system 900 includes a central processing unit (CPU) 901, which can perform various appropriate actions and processes according to the program stored in the ROM (Read Only Memory) 902 or the program loaded from the storage part 908 to the RAM (Random Access Memory) 903. Various programs and data required for system operation are also stored in the RAM 903. The CPU 901, ROM 902 and RAM 703 are connected to each other through a bus 904. An I / O (Input / Output) interface 905 is also connected to the bus 904.

[0171] The following components are connected to the I / O interface 905: an input section 906 including a keyboard, a mouse, etc.; an output section 907 including a CRT (Cathode Ray Tube), an LCD (Liquid Crystal Display), etc., and a speaker, etc.; a storage section 908 including a hard disk, etc.; and a communication section 909 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the I / O interface 905 as needed. A removable medium 911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 910 as needed so that a computer program read therefrom is installed into the storage section 908 as needed.

[0172] In particular, according to an embodiment of the present disclosure, the process described below with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes 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 such an embodiment, the computer program can be downloaded and installed from a network through a communication part 909, and / or installed from a removable medium 911. When the computer program is executed by a central processing unit (CPU 901), various functions defined in the system of the present application are executed.

[0173] The embodiments of the present disclosure also provide a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned wireless network performance analysis method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0174] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as ROM, RAM, magnetic disk or optical disk.

[0175] The disclosed embodiment further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned wireless network performance analysis method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0176] It should be understood that the chip mentioned in the embodiments of the present disclosure may also be referred to as a system-level chip, a system chip, a chip system, or a system-on-chip chip, etc.

[0177] The embodiment of the present disclosure provides a computer program product including instructions, which, when executed on a computer, enables the computer to execute the steps of the wireless network performance analysis method as described above and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0178] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the method and device in the embodiments of the present disclosure is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0179] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present disclosure, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present disclosure.

[0180] The embodiments of the present disclosure are described above in conjunction with the accompanying drawings, but the present disclosure is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present disclosure, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present disclosure and the claims, all of which are within the protection of the present disclosure.

Claims

1. A wireless network performance analysis method, characterized in that: The method comprises: Acquire user call list data and industrial parameter data of each base station, wherein the user call list data includes: the longitude and latitude of the user service initiation or service release, and the industrial parameter data includes the longitude and latitude of the base station sector; Create an airspace model based on the longitude and latitude of user call log data; Associating data information with each airspace unit in the airspace model, the data information including the working parameter data of the base station occupied by the user call list data; Drawing a target image according to preset rules based on the data information associated with each airspace unit in the airspace model and the engineering parameter data of each base station; Each of the airspace units includes a first airspace unit, and the first airspace unit is any airspace unit in the airspace model; Drawing the target image according to the data information associated with each airspace unit in the airspace model and according to a preset rule includes: Establishing a connection between the first airspace unit and a base station sector corresponding to the first airspace unit; Different sectors of a base station are connected by lines of different colors, and the same sectors of different base stations are connected by the same color; Analyzing network performance of a network corresponding to the target image according to image features of the target image; The image features of the target image include at least one of the following: the color of the connection line, the length of the connection line, and the area covered by the connection line; The network performance includes: whether the sectors of each base station provide services normally, whether there is mode 3 interference between sectors of adjacent base stations, whether the signals of each sector are over-covered or under-covered, whether the antenna feeds of each sector are connected incorrectly, and whether the angles of each antenna feed are normal.

2. The method according to claim 1, characterized in that The step of modeling an airspace model according to the latitude and longitude of the user call record data includes: Determine the target reference point of the airspace model according to the latitude and longitude of the user call record data; Based on the target reference point of the airspace model, construct each reference point of the airspace model according to the longitude increment value and the latitude increment value; Constructing an airspace unit of the airspace model according to the reference point of the airspace model; Among them, the target reference points of the airspace model include: a first reference point and a second reference point; the first reference point is a reference point composed of the minimum longitude and minimum latitude of the user call record data, and the second reference point is a reference point composed of the maximum longitude and maximum latitude of the user call record data.

3. The method according to claim 2, characterized in that The longitude increment value and the latitude increment value are associated with a network scenario.

4. The method according to claim 2, characterized in that: The associating data information for each airspace unit in the airspace model includes: According to the relationship between the latitude and longitude of the user call record data and the position of the airspace unit, the user call record data is grouped according to the airspace unit; Pre-processing the user call list data in each airspace unit; Delete the airspace units with incomplete data in the preprocessed airspace model.

5. The method according to claim 4, characterized in that The step of grouping the user call list data according to the airspace unit according to the position relationship between the latitude and longitude of the user call list data and the airspace unit includes: If the longitude and latitude of the first user call record data are within the first airspace unit, then associating the first user call record data with the first airspace unit; or, If the longitude and latitude of the first user call record data are located on the common edge of the first spatial unit and the second spatial unit, the first user call record data and the first spatial unit are associated, and the first user call record data and the second spatial unit are associated.

6. The method according to claim 5, characterized in that The preprocessing of the user call list data in each airspace unit includes: Classifying the user call list data in the first airspace unit according to base station sectors; Determine that the sector with the highest proportion of user call record data is the base station sector corresponding to the first airspace unit.

7. The method according to claim 6, characterized in that The determining that the base station sector having the highest proportion of user call list data is the base station sector corresponding to the first airspace unit includes: If the base station sector with the highest proportion of user call record data includes multiple sectors, one of the multiple sectors is selected as the sector corresponding to the first airspace unit.

8. The method according to claim 1, characterized in that: The analyzing the network performance of the network corresponding to the target image according to the image features of the target image includes: If the sector connection line color of the first base station in the target image does not match the preset color, it is determined that there is an error in the sector antenna feed connection direction of the first base station.

9. The method according to claim 1, characterized in that: The analyzing the network performance of the network corresponding to the target image according to the image features of the target image includes: If the area of ​​the same region covered by the target sector of the first base station and the target sector of the second base station in the target image is greater than a preset threshold, it is determined that there is modulo 3 interference between the target sector of the first base station and the target sector of the second base station.

10. The method according to claim 1, characterized in that The analyzing the network performance of the network corresponding to the target image according to the image features of the target image includes: If the length of a line between a first sector and a spatial unit in the target image is greater than the length of a line between an adjacent sector and a spatial unit, it is determined that the signal of the first sector is over-covered; or, If the length of a line connecting a first sector and a spatial unit in the target image is less than the length of a line connecting an adjacent sector and a spatial unit, it is determined that the signal of the first sector is under-covered.

11. The method according to claim 1, characterized in that The analyzing the network performance of the network corresponding to the target image according to the image features of the target image includes: If the difference between the angle between the coverage area of ​​the line connecting the first sector and the spatial unit in the target image and the preset angle is outside the preset range, it is determined that there is a problem with the antenna feed angle of the base station of the first sector.

12. The method according to claim 1, characterized in that The analyzing the network performance of the network corresponding to the target image according to the image features of the target image includes: If there are no connections in the first sectors in the target image, it is determined that the first sector is faulty; or, If each sector of the first base station in the target image has no connection line, it is determined that the first base station is faulty.

13. The method according to claim 1, characterized in that The airspace model is modeled according to the latitude and longitude of the user call list data, including: Model an airspace model based on the latitude and longitude of the user call record data with a usage frequency of the target frequency; The target image is an image corresponding to the target frequency.

14. A wireless network performance analysis device, characterized in that: The wireless network performance analysis device comprises: a user call list data acquisition module, a base station engineering parameter acquisition module, an airspace modeling module, an information association module, and a network performance analysis module; The user call bill data acquisition module is used to acquire user call bill data, and the user call bill data includes: the longitude and latitude of the user service initiation or release; The base station engineering parameter acquisition module is used to obtain the engineering parameter data of each base station, and the engineering parameter data includes the longitude and latitude of the base station sector; The airspace modeling module is used to establish an airspace model according to the latitude and longitude of user call record data; The information association module is used to associate data information with each airspace unit in the airspace model, wherein the data information includes base station engineering parameter data occupied by user call list data; Each of the airspace units includes a first airspace unit, and the first airspace unit is any airspace unit in the airspace model; The information association module is used to establish a connection between the first airspace unit and the base station sector corresponding to the first airspace unit; wherein different sectors of the base station use different colors of connection lines, and the same sectors of different base stations use the same color; The network performance analysis module is used to draw a target image according to a preset rule based on the data information associated with each airspace unit in the airspace model and the engineering parameter data of each base station, and analyze the network performance of the network corresponding to the target image according to the image features of the target image; The image features of the target image include at least one of the following: the color of the connection line, the length of the connection line, and the area covered by the connection line; The network performance includes: whether the sectors of each base station provide services normally, whether there is mode 3 interference between sectors of adjacent base stations, whether the signals of each sector are over-covered or under-covered, whether the antenna feeds of each sector are connected incorrectly, and whether the angles of each antenna feed are normal.

15. A wireless network performance analysis system, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the wireless network performance analysis method as described in any one of claims 1 to 13.

16. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the wireless network performance analysis method according to any one of claims 1 to 13 are implemented.

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