Adjusting method, device and equipment of spotlight antenna and medium

Abstract

The embodiment of the invention discloses a spotlight antenna adjusting method and device, equipment and a medium. The method comprises the steps that signal quality data corresponding to different deviation angles of a spotlight antenna in N floors are obtained, N is the number of floors of a building covered by the spotlight antenna, the deviation angles are values between a first angle value and a second angle value with a first precision value as the reference, and the first angle value is smaller than the second angle value; obtaining a floor weight corresponding to each floor according to the number of active optical modems of the user; obtaining a user off-network model weight corresponding to each floor according to off-network data of the user; and determining a target deviation angle for adjusting the spotlight antenna according to the signal quality data, the floor weight and the user off-network model weight.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of signal processing, and specifically to adjustment methods, devices, equipment and media for spotlight antennas. Background Art

[0002] As a conventional solution for deep coverage of high-rise buildings, spotlight antennas have the advantages of large downward tilt, beautification and easy installation. Before installing and fixing the spotlight antenna, the designer will comprehensively consider the appropriate position and angle based on factors such as the estimated number of people and the expected densely populated areas, and fix it at a certain position on the roof.

[0003] When the angle of the spotlight antenna needs to be adjusted later, usually only the data such as the number of complaints and the maximum number of users can be used to infer a more reasonable adjustment plan. However, the angle of the spotlight antenna is adjusted based on the number of complaints and the maximum number of users, which has low accuracy and cannot meet the needs of different network users in the building. Summary of the invention

[0004] The embodiments of the present application provide a method, device, equipment and medium for adjusting a spotlight antenna to solve the technical problem of low accuracy in adjusting the angle of a spotlight antenna in the prior art.

[0005] In a first aspect, an embodiment of the present application provides a method for adjusting the angle of a spotlight antenna, the method comprising:

[0006] Acquire signal quality data corresponding to different offset angles of the spotlight antenna on N floors, where N is the number of floors of the building covered by the spotlight antenna, and the offset angle is: based on the first accuracy value, a value between the first angle value and the second angle value, and the first angle value is less than the second angle value;

[0007] According to the number of active optical modems of the user, obtain the floor weight corresponding to each of the floors;

[0008] According to the user's off-grid data, obtain the user off-grid model weight corresponding to each of the floors;

[0009] A target offset angle for adjusting the spotlight antenna is determined according to the signal quality data, the floor weight and the user off-grid model weight.

[0010] In a second aspect, an embodiment of the present application provides an angle adjustment device for a spotlight antenna, the device comprising:

[0011] A first acquisition module is used to acquire signal quality data corresponding to different offset angles of the spotlight antenna on N floors, wherein N is the number of floors of the building covered by the spotlight antenna, and the offset angle is: a value between a first angle value and a second angle value based on a first accuracy value, and the first angle value is smaller than the second angle value;

[0012] The second acquisition module is used to obtain the floor weight corresponding to each floor according to the number of active optical modems of the user;

[0013] A third acquisition module is used to obtain the user off-line model weight corresponding to each floor according to the user's off-line data;

[0014] A determination module is used to determine a target offset angle for adjusting the spotlight antenna according to the signal quality data, the floor weight and the user off-grid model weight.

[0015] In a third aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any embodiment of the first aspect.

[0016] In a fourth aspect, an embodiment of the present application provides a computer-readable medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of the first aspect.

[0017] The adjustment method, device, equipment and medium of the spotlight antenna provided in the embodiments of the present application determine the target offset angle for adjusting the spotlight antenna according to the signal quality data corresponding to different offset angles of the spotlight antenna in N floors, the floor weight corresponding to each floor and the user off-grid model weight corresponding to each floor, so that the technical solution provided in the embodiments can adjust the angle of the spotlight antenna from multiple dimensions (signal quality, user activity and user off-grid situation, etc.), and the adjustment of the spotlight antenna angle is highly accurate, which can meet the usage requirements of different network users; since the floor weight corresponding to each floor and the user off-grid model weight corresponding to each floor are updated in real time according to the user's network usage, the technical solution provided in the embodiments of the present application can enable the user to quickly perceive the signal quality improvement brought about by the adjustment of the spotlight antenna, thereby improving the user's network experience; since the technical solution provided in the embodiment of the present application can adjust the spotlight antenna angle with high accuracy, it can improve the coverage efficiency and coverage accuracy of the spotlight antenna, avoid the problem of duplicate construction, and thus reduce construction costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0019] Figure 1 is a flow chart of an embodiment of a method for adjusting a spotlight antenna of the present application;

[0020] Figure 2 is a flow chart of another embodiment of the method for adjusting the spotlight antenna of the present application;

[0021] Figure 3 It is a structural schematic diagram of an embodiment of an adjustment device for a spotlight antenna of the present application;

[0022] Figure 4 It is a schematic diagram of the structure of an electronic device used to implement an embodiment of the present application. DETAILED DESCRIPTION

[0023] All actions to obtain signals, information or data in this application are carried out in compliance with the relevant data protection laws and policies of the country where they are located, and with the authorization given by the owner of the corresponding device.

[0024] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It should also be noted that, for ease of description, only the parts related to the relevant invention are shown in the accompanying drawings.

[0025] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0026] Please refer to Figure 1 , which shows a process 100 of an embodiment of a method for adjusting a spotlight antenna according to the present application. The method for adjusting a spotlight antenna can be applied to various electronic devices with data processing functions. For example, the electronic devices may include but are not limited to cloud servers, physical servers, etc. The execution subject of the automatic discovery method of topological relationships may be a processor in the electronic devices.

[0027] The method for adjusting the spotlight antenna comprises the following steps:

[0028] Step 101, obtain signal quality data corresponding to different offset angles of the spotlight antenna in N floors, where N is the number of floors of the building covered by the spotlight antenna, and the offset angle is: based on the first accuracy value, the value between the first angle value and the second angle value, and the first angle value is less than the second angle value.

[0029] Step 102: Obtain the floor weight corresponding to each floor according to the number of active optical modems of the user.

[0030] Step 103: Obtain the user off-grid model weight corresponding to each floor according to the user's off-grid data.

[0031] Step 104: Determine a target offset angle for adjusting the spotlight antenna according to the signal quality data, the floor weight, and the user off-grid model weight.

[0032] The method provided in the above-mentioned embodiment of the present application determines the target offset angle for adjusting the spotlight antenna according to the signal quality data corresponding to different offset angles of the spotlight antenna in N floors, the floor weight corresponding to each floor, and the user off-grid model weight corresponding to each floor, so that the technical solution provided in the present embodiment can adjust the angle of the spotlight antenna from multiple dimensions (signal quality, user activity, and user off-grid status, etc.), and the adjustment of the spotlight antenna angle is highly accurate, which can meet the usage needs of different network users; since the floor weight corresponding to each floor and the user off-grid model weight corresponding to each floor are updated in real time according to the user's network usage, the technical solution provided in the embodiment of the present application can enable users to quickly perceive the signal quality improvement brought about by the adjustment of the spotlight antenna, thereby improving the user's network experience; since the technical solution provided in the present application has high accuracy in adjusting the spotlight antenna angle, it can improve the coverage efficiency and coverage accuracy of the spotlight antenna, avoid the problem of duplicate construction, and thus reduce construction costs.

[0033] Please refer to Figure 2 , which shows a process 200 of another embodiment of the method for adjusting a spotlight antenna according to the present application. The method for adjusting a spotlight antenna can be applied to various electronic devices with data processing functions. For example, the electronic devices may include but are not limited to cloud servers, physical servers, etc. The execution subject of the automatic discovery method of topological relationships may be a processor in the electronic devices.

[0034] The method for adjusting the spotlight antenna comprises the following steps:

[0035] Step 201, obtain signal quality data corresponding to different offset angles of the spotlight antenna in N floors, where N is the number of floors of the building covered by the spotlight antenna, and the offset angle is: based on the first accuracy value, the value between the first angle value and the second angle value, and the first angle value is smaller than the second angle value.

[0036] In this embodiment and the following embodiments, the signal quality data is taken as a reference signal receiving power (RSRP) value for illustration. In actual use, the signal quality data may also be other signal values ​​that can reflect the signal quality, and each case will not be described one by one here.

[0037] In this embodiment and the following embodiments, the first precision value is 1°, the first angle value is -5°, and the second angle value is 5°. In actual use, the first precision value, the first angle value, and the second angle value can also be set as needed, which will not be described one by one here.

[0038] For example, when the first precision value is 1°, the first angle value is -5°, and the second angle value is 5°, the RSRP value corresponding to each offset angle in N floors may be as shown in Table 1 below:

[0039]

[0040] Table 1

[0041] In this embodiment, after the spotlight antenna is established, the road test personnel can test the signal on each floor and obtain the data shown in Table 1. In the process of adjusting the spotlight antenna, the angle of the spotlight antenna can be adjusted to obtain the table. The table is stored in the database, and when the self-adjustment condition of the spotlight antenna is triggered, step 201 can obtain data from the database.

[0042] Step 202: Obtain the floor weight corresponding to each floor according to the number of active optical modems of the user.

[0043] In this embodiment, the method for obtaining the number of active optical modems of a user may include:

[0044] First, obtain the unique identifier (LOID) of the user optical modem corresponding to all user broadbands in the building covered by the spotlight antenna through the resource platform.

[0045] Then, the network management system is used to obtain the user traffic usage corresponding to each LOID in real time, locate the user's house number based on the 9-level address of the resource platform, obtain the distribution of active optical modems on each floor, and determine the number of active optical modems for the user.

[0046] Step 203: Obtain the user off-grid model weight corresponding to each floor according to the user's off-grid data.

[0047] Step 204: Obtain the supplementary bias corresponding to each floor according to the time for adjusting the spotlight antenna.

[0048] Step 205: Determine a target offset angle for adjusting the spotlight antenna according to the signal quality data, the floor weight, the user off-grid model weight and the supplementary bias.

[0049] In this embodiment, the target offset angle can be obtained by the following formula (1):

[0050]

[0051] Where A is the target offset angle; j is the floor, j = 1, 2, ... N; is the floor weight of floor j; is the off-grid model weight of the user on floor j; is the signal quality data corresponding to the target offset angle A of floor j; B j Supplementary paranoia for floor j.

[0052] Based on the above formula (1), the target offset angle is obtained, and the angle of the spotlight antenna is adjusted, and any one or a combination of the following steps may be included:

[0053] 1. In and In the case of Greater than the lower limit of the signal quality threshold, where M is the number of active optical modems.

[0054] In this embodiment, The higher the value, the better the signal quality of the user. If the signal quality is lower than the lower threshold, the user experience will be poor and the network may even be disconnected. If the signal quality is higher than the upper threshold, the user status is very good and there is no need to adjust the spotlight antenna.

[0055] It should be noted that this embodiment and the following embodiments are only described by taking the lower limit of the signal quality threshold as -110 and the upper limit of the signal quality threshold as -90 as an example. In actual use, other values ​​can also be set, which will not be described in detail here.

[0056] In order to ensure the user's Internet experience and avoid user complaints due to network disconnection, it is necessary to ensure that there are active users. Higher than the lower limit of the signal quality threshold, that is: but In order to achieve this goal, the spotlight antenna may need to be adjusted, for example, adjusting the transmit and receive power of the spotlight antenna.

[0057] 2. In and When the signal quality is greater than the upper threshold, the spotlight antenna is adjusted so that Equal to the upper signal quality threshold.

[0058] In this embodiment, if If the signal quality is higher than the upper threshold, the user status is very good. In order to avoid wasting resources, if there are active users, If the signal quality is greater than the upper threshold, the spotlight antenna needs to be adjusted so that is equal to the upper limit of the signal quality threshold. That is, if but

[0059] 3. In W j 1 =M,W j 1 ≠0, and the time for adjusting the spotlight antenna is non-working time, according to the preset B j value, adjust the spotlight antenna so that Approaching the upper limit of the signal quality threshold. That is: if T∈T τ , W j 1 ≠0, then Among them, T τ For example, in this embodiment, B j =5.

[0060] If the spotlight antenna is adjusted during non-working hours and there is an active optical modem on the floor, it is required Approaching -90, with increased supplementary bias B j , which will increase the signal concentration toward the floors where there are active optical modems.

[0061] 4. In W j 1 =M, get W j 2 , according to W j 2 Adjust the spotlight antenna so that the fluctuation value of the average Internet access rate is less than the fluctuation threshold.

[0062] In this embodiment, obtain W j 2 The steps may include:

[0063] First, obtain the off-grid related parameters of the user on floor j.

[0064] In this embodiment, the user off-network related parameters may include: community broadband off-network rate z1, community-level broadband active rate z2, community preparation rate (balance / billed) z3, community 5G penetration rate z4, community broadband user volume z5, community broadband gigabit share z6, online traffic in the past three months z7, online time in the past three months z8, user package tariff z9, and fluctuation value of average online speed z 10 .

[0065] Then, according to the user's off-network related parameters, obtain W j 2 .

[0066] In this embodiment, the user's off-network situation in the next year is classified. According to the data stored in the database, there are n training points T = [(x1, y1), (x2, y2), ..., (x n ,y n )], where x i is the input variable, x i ∈R N , x i =[z1,z2,...,z 10 ],y i is the output variable, y i ∈Y={1,-1}, 1 means the user will not leave the network within the next year, and -1 means the user will leave the network within the next year.

[0067] Two hyperplanes should be used to separate the data set, and the distance between the two hyperplanes needs to be maximized. Therefore, the two hyperplanes are set as follows:

[0068] w T x i -b=0 (2)

[0069] Among them, w is the weight of the neural network and b is the bias of the neural network.

[0070] For every x i The following formulas (3) and (4) should be satisfied:

[0071] w T x i -b≥1for x i Belongs to category 1 (3)

[0072] w T x i -b≤-1 for x i Belongs to category-1 (4)

[0073] According to yi, formula (3) and formula (4) are transformed to obtain the following formula (5):

[0074] y i (w T x i -b)≥1 for all 1<i<n (5)

[0075] By calculating the distance formula between two straight lines, it can be deduced that the distance m is as shown in the following formula (6):

[0076]

[0077] in,

[0078] Therefore, the optimization objectives are as shown in the following formulas (7) and (8):

[0079] min(||w||) (7)

[0080] sty i (w T x i -b)≥1 (8)

[0081] According to the above formula (7) and formula (8), we can obtain W j 2 and b. According to W j 2 And b can determine the probability of users leaving the network.

[0082] Therefore, we can know that we should try our best to improve the user's Internet experience, that is, reduce network fluctuations and increase the speed, so as to achieve the goal of reducing the probability of users leaving the network. That is, the fluctuation value of the average Internet speed is less than the fluctuation threshold z 10 <β.

[0083] 5. In W j 1 =M, and if there is a signal quality complaint on floor j, adjust the spotlight antenna so that is equal to the upper limit of the signal quality threshold. That is, if a user complaint occurs on floor j, then

[0084] If there is a user complaint on floor j, it is determined that the user is extremely sensitive to the network, so the spotlight antenna needs to be adjusted to optimize the RSRP value of floor j.

[0085] The above five steps of adjusting the spotlight antenna can be regarded as five constraints based on adjusting the angle of the spotlight antenna by formula (1). The above five constraints can further ensure the accuracy of the spotlight antenna adjustment, thereby improving the user's network experience.

[0086] In order to quickly obtain the target offset angle, in this embodiment, the target offset angle can be calculated using a fusion evolution algorithm, wherein the fusion evolution algorithm is obtained based on the beetle whisker algorithm and the differential evolution algorithm.

[0087] Exemplarily, the step of calculating the target deviation angle using the fusion evolution algorithm may include:

[0088] Firstly, the differential evolution algorithm (DE) is used to obtain the fitness of different offset angles, and the optimal offset angle is selected according to the fitness of different offset angles.

[0089] According to the technical solution disclosed above, there are 5 constraints. In this embodiment, the 5 constraints can be ranked in order of importance, for example: constraint 5> constraint 4> constraint 1> constraint 2=constraint 3.

[0090] Formula (1) is transformed into the following formula (9):

[0091]

[0092] Among them, C k is the penalty item corresponding to the five constraints. The higher the importance of the constraint, the higher the penalty item C k The larger the value, the larger the value. k The specific value of is limited. In actual use, it can be set according to needs, which will not be described here.

[0093] Perform initialization operations according to the DE algorithm to generate an initial population, as shown in the following formula (10):

[0094]

[0095] Where t1 is the number of iterations, D is the number of populations, and A is the different offset angles. Substituting formula (10) into formula (9) can obtain the fitness of different offset angles. According to the fitness of different offset angles, the optimal offset angle is selected.

[0096] Secondly, the beetle whisker algorithm (BAS) is used to perform local optimization and mutation operations on the optimal offset angle. The above steps are repeated until the iteration conditions are met to obtain the target offset angle.

[0097] In this embodiment, the optimal offset angle It is used as the initial search starting point of BAS and performs local optimization.

[0098] The positions of the left and right whiskers are updated using the following formulas (11) and (12):

[0099]

[0100] in, is the global optimal solution of the BAS algorithm at the current iteration number t. When the algorithm starts is the step size, which can be adjusted according to actual conditions. It is usually a number between 0 and 1. d is a random unit vector. Since the optimization dimension is 1, the dimension of d is 1. left and right are the positions of the two tentacles after the update. Substitute them into the fitness function to calculate the fitness and select the best position under the current number of iterations. Wait for the iteration to end.

[0101] Furthermore, the mutation operation is performed to expand the search range of the population in the solution space, thereby increasing the probability of the algorithm converging to the global optimal solution. Specifically, it is obtained by the following formula (13):

[0102]

[0103] The specific operation is to use the optimal individual obtained by BAS and the current individual and 1 random individual Calculate mutation vector F is the scaling factor, which is generally selected between [0, 2], usually F = 0.5. If the population converges prematurely, you can increase the value of F or increase the number of individuals in the population.

[0104] Since the problem dimension of this embodiment is 1-dimensional, the crossover operation in the traditional DE is removed and the selection operation is performed directly, as shown in the following formula (14):

[0105]

[0106] Repeatedly substitute formula (9) and exit the loop when the iteration condition is met to obtain the target offset angle.

[0107] The method provided by the above embodiments of the present application achieves Figure 1 On the basis of the beneficial effects brought by the distribution method shown, the time dimension is added. Different time periods should cater to different groups of people, thereby maximizing user satisfaction.

[0108] Please refer to Figure 3 As an implementation of the methods shown in the figures, the present application provides an embodiment of a device for adjusting the angle of a spotlight antenna. The device embodiment corresponds to the method shown in the above embodiments, and the device can be specifically applied to various electronic devices.

[0109] like Figure 3 As shown, the angle adjustment device 300 of the spotlight antenna of this embodiment includes:

[0110] The first acquisition module 301 is used to obtain signal quality data corresponding to different offset angles of the spotlight antenna on N floors, wherein N is the number of floors of the building covered by the spotlight antenna, and the offset angle is: based on the first accuracy value, a value between the first angle value and the second angle value, and the first angle value is less than the second angle value;

[0111] The second acquisition module 302 is used to obtain the floor weight corresponding to each floor according to the number of active optical modems of the user;

[0112] The third acquisition module 303 is used to obtain the user off-line model weight corresponding to each floor according to the user's off-line data;

[0113] The determination module 304 is used to determine a target offset angle for adjusting the spotlight antenna according to the signal quality data, the floor weight and the user off-grid model weight.

[0114] Optionally, the method may further include: a fourth acquisition module, configured to acquire a supplementary bias corresponding to each of the floors according to the time for adjusting the spotlight antenna;

[0115] The determination module 304 may also determine a target offset angle for adjusting the spotlight antenna according to the signal quality data, the floor weight, the user off-grid model weight and the supplementary bias.

[0116] Optionally, the target offset angle is obtained by the following formula:

[0117]

[0118] Wherein, A is the target offset angle; j is the floor, j=1, 2, ... N; W j 1 is the floor weight of floor j; W j 2 is the off-grid model weight of the user on the floor j; B is the signal quality data of the floor j corresponding to the target offset angle A; j Supplementary bias for the floor j.

[0119] Optionally, the determination module 304 may also be used to:

[0120] In W j 1 =M, and W j 1 ≠0, the spotlight antenna is adjusted so that Greater than the lower limit of the signal quality threshold, where M is the number of active optical modems; and / or,

[0121] In W j 1 =M, and the When the signal quality is greater than the upper limit of the threshold, the spotlight antenna is adjusted so that the is equal to the upper limit of the signal quality threshold; and / or,

[0122] In W j 1 =M,W j 1 ≠0, and the time for adjusting the spotlight antenna is non-working time, according to the preset B j value, adjust the spotlight antenna so that the Approaching the upper limit of the signal quality threshold; and / or,

[0123] In W j 1 =M, obtain the According to the W j 2 The spotlight antenna is adjusted so that the fluctuation value of the average Internet access rate is less than the fluctuation threshold; and / or,

[0124] In W j 1 = M, and if there is a signal quality complaint on the floor j, the spotlight antenna is adjusted so that is equal to the upper limit of the signal quality threshold.

[0125] Optionally, the determination module 304 may also be used to obtain the user off-line related parameters of the floor j; and obtain the W according to the user off-line related parameters. j 2 ; Among them, the user off-line related parameters include: community broadband off-line rate, community-level broadband activity rate, community preparation rate (balance / billed), community 5G penetration rate, community broadband user volume, community broadband gigabit share, Internet traffic in the past three months, Internet time in the past three months, user package charges and the fluctuation value of the average Internet speed.

[0126] Optionally, the target offset angle is calculated using a fusion evolution algorithm, wherein the fusion evolution algorithm is obtained based on a longicorn beard algorithm and a differential evolution algorithm.

[0127] Optionally, the determination module 304 can also be used to adopt the differential evolution algorithm to obtain the fitness of different offset angles, and select the optimal offset angle according to the fitness of the different offset angles; adopt the longicorn beard algorithm to perform local optimization and mutation operations on the optimal offset angle, and repeat the above steps until the iteration conditions are met to obtain the target offset angle.

[0128] The specific implementation method of the adjustment device for the spotlight antenna provided in this embodiment can refer to the adjustment method for the spotlight antenna described in the above embodiment, and will not be repeated here.

[0129] The adjustment device for the spotlight antenna provided in the embodiment of the present application determines the target offset angle for adjusting the spotlight antenna according to the signal quality data corresponding to different offset angles of the spotlight antenna in N floors, the floor weight corresponding to each floor, and the user off-grid model weight corresponding to each floor, so that the technical solution provided in the present embodiment can adjust the angle of the spotlight antenna from multiple dimensions (signal quality, user activity, and user off-grid status, etc.), and the adjustment of the spotlight antenna angle is highly accurate, which can meet the usage requirements of different network users; since the floor weight corresponding to each floor and the user off-grid model weight corresponding to each floor are updated in real time according to the user's network usage, the technical solution provided in the embodiment of the present application can enable the user to quickly perceive the signal quality improvement brought about by the adjustment of the spotlight antenna, thereby improving the user's network experience; since the technical solution provided in the present application has high accuracy in adjusting the spotlight antenna angle, it can improve the coverage efficiency and coverage accuracy of the spotlight antenna, avoid the problem of duplicate construction, and thus reduce construction costs.

[0130] Reference below Figure 4 , which shows a schematic structural diagram of an electronic device for implementing some embodiments of the present application. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0131] like Figure 4 As shown, the electronic device 400 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage device 408 into a random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0132] Typically, the following devices may be connected to the I / O interface 405: an input device 406 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 407 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 408 including, for example, a disk, a hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 4 The electronic device 400 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 4 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0133] In particular, according to some embodiments of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 409, or installed from the storage device 408, or installed from the ROM 402. When the computer program is executed by the processing device 401, the above-mentioned functions defined in the method of some embodiments of the present application are executed.

[0134] It should be noted that the computer-readable medium described in some embodiments of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0135] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0136] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: upon receiving a message sending request, obtains the message to be tested in the message sending request; extracts the text content in the message to be tested; detects the text content based on the keywords of historical spam messages, the hash values ​​of historical spam messages, and the large language model to determine whether the message to be tested is a spam message; and intercepts the message to be tested in response to the message to be tested being a spam message.

[0137] Computer program code for performing the operations of some embodiments of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++; and also conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, or may be connected to an external computer (e.g., through the Internet using an Internet service provider), including a local area network (LAN) or a wide area network (WAN).

[0138] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0139] The units described in some embodiments of the present application may be implemented by software or hardware. The units described may also be set in a processor, for example, it may be described as: a processor includes a first determination unit, a second determination unit, a selection unit, and a third determination unit. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0140] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0141] The above description is only some preferred embodiments of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present application is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above invention concept. For example, the above features are replaced with (but not limited to) the technical features with similar functions disclosed in the embodiments of the present application to form a technical solution.

Claims

1. A method for adjusting a spotlight antenna, characterized in that: The method comprises: Acquire signal quality data corresponding to different offset angles of the spotlight antenna on N floors, where N is the number of floors of the building covered by the spotlight antenna, and the offset angle is: based on the first accuracy value, a value between the first angle value and the second angle value, and the first angle value is less than the second angle value; According to the number of active optical modems of the user, obtain the floor weight corresponding to each of the floors; According to the user's off-grid data, obtain the user off-grid model weight corresponding to each of the floors; A target offset angle for adjusting the spotlight antenna is determined according to the signal quality data, the floor weight and the user off-grid model weight.

2. The method according to claim 1, characterized in that Also includes: According to the time for adjusting the spotlight antenna, obtaining a supplementary bias corresponding to each of the floors; Then, according to the signal quality data, the floor weight and the user off-grid model weight, the target offset angle that needs to be adjusted for the spotlight antenna is determined as: The target offset angle for adjusting the spotlight antenna is determined according to the signal quality data, the floor weight, the user off-grid model weight and the supplementary bias.

3. The method according to claim 2, characterized in that The target offset angle is obtained by the following formula: Wherein, A is the target offset angle; j is the floor, j=1, 2, ...N; is the floor weight of floor j; is the off-grid model weight of the user on the floor j; B is the signal quality data of the floor j corresponding to the target offset angle A; j Supplementary bias for the floor j.

4. The method according to claim 3, characterized in that Also includes: exist and In the case of Greater than the lower limit of the signal quality threshold, where M is the number of active optical modems; and / or, exist And the When the signal quality is greater than the upper limit of the threshold, the spotlight antenna is adjusted so that the is equal to the upper limit of the signal quality threshold; and / or, exist When the time for adjusting the spotlight antenna is non-working time, according to the preset B j value, adjust the spotlight antenna so that the Approaching the upper limit of the signal quality threshold; and / or, exist In the case of According to the The spotlight antenna is adjusted so that the fluctuation value of the average Internet access rate is less than the fluctuation threshold; and / or, exist If there is a signal quality complaint on the floor j, the spotlight antenna is adjusted so that is equal to the upper limit of the signal quality threshold.

5. The method according to claim 4, characterized in that The acquisition of include: Obtaining off-network related parameters of the user on the floor j; According to the user off-network related parameters, obtain the Among them, the user off-line related parameters include: community broadband off-line rate, community-level broadband activity rate, community preparation rate (balance / billed), community 5G penetration rate, community broadband user volume, community broadband gigabit share, Internet traffic in the past three months, Internet time in the past three months, user package charges, and the fluctuation value of the average Internet speed.

6. The method according to claim 1, characterized in that The target offset angle is calculated using a fusion evolution algorithm, wherein the fusion evolution algorithm is obtained based on a longicorn beard algorithm and a differential evolution algorithm.

7. The method according to claim 6, characterized in that The step of calculating the target deviation angle using a fusion evolution algorithm comprises: The differential evolution algorithm is used to obtain fitness of different offset angles, and the optimal offset angle is selected according to the fitness of the different offset angles; The beetle whisker algorithm is used to perform local optimization and mutation operations on the optimal offset angle, and the above steps are repeated until the iteration conditions are met to obtain the target offset angle.

8. An adjustment device for a spotlight antenna, characterized in that: The device comprises: A first acquisition module is used to acquire signal quality data corresponding to different offset angles of the spotlight antenna on N floors, wherein N is the number of floors of the building covered by the spotlight antenna, and the offset angle is: a value between a first angle value and a second angle value based on a first accuracy value, and the first angle value is smaller than the second angle value; The second acquisition module is used to obtain the floor weight corresponding to each floor according to the number of active optical modems of the user; A third acquisition module is used to obtain the user off-line model weight corresponding to each floor according to the user's off-line data; A determination module is used to determine a target offset angle for adjusting the spotlight antenna according to the signal quality data, the floor weight and the user off-grid model weight.

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

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

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