Antenna attitude detection method and apparatus, and electronic device

Abstract

The invention discloses an antenna attitude detection method and apparatus, and an electronic device. The method comprises the following steps: acquiring a timing advance (TA) value of user equipment in a first statistical period; determining target TA distribution proportions of the timing advance TA values in a plurality of continuous preset distance intervals; in each preset distance interval, the change intensity of the target TA distribution proportion is determined according to the historical TA distribution proportion corresponding to each preset distance interval; and determining the attitude of the antenna according to the change intensity. The technical problems that the efficiency is low and the hysteresis quality is relatively high when the change of the attitude of the spotlight antenna is detected through manual field checking in the related technology are solved.

Description

Technical Field

[0001] This application relates to the field of wireless communication technologies, and in particular, to a method, apparatus, and electronic device for detecting the attitude of an antenna. Background Art

[0002] In drip irrigation scenarios such as residential areas and universities, after installing a spotlight antenna, due to reasons such as bad weather and device quality, the antenna bracket may not be firmly fixed, resulting in abnormal antenna attitude and serious deterioration of the user perception within the wireless signal coverage area. Currently, related technologies can only discover problems through manual on-site verification, with low efficiency and strong hysteresis.

[0003] For the above problems, no effective solutions have been proposed yet. Summary of the Invention

[0004] Embodiments of this application provide a method, apparatus, and electronic device for detecting the attitude of an antenna, so as to at least solve the technical problems of low efficiency and strong hysteresis in detecting the change of the attitude of a spotlight antenna through manual on-site verification in related technologies.

[0005] According to one aspect of the embodiments of this application, a method for detecting the attitude of an antenna is provided, including: obtaining the timing advance (TA) value of user equipment within a first statistical period, where the user equipment is all user equipment within the antenna coverage area; determining the target TA distribution ratio of the TA value within a plurality of consecutive preset distance intervals, where the plurality of consecutive preset distance intervals are sequentially set starting from the base station in the direction away from the base station; within each preset distance interval, determining the change intensity of the target TA distribution ratio according to the historical TA distribution ratio corresponding to each preset distance interval, where the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio; and determining the attitude of the antenna according to the change intensity.

[0006] In some embodiments of the present application, within each preset distance interval, determining the change intensity of the target TA distribution ratio according to the historical TA distribution ratio corresponding to each preset distance interval includes: obtaining a first TA distribution ratio set corresponding to a first number of consecutive statistical periods before the first statistical period; determining a first index value corresponding to the target TA distribution ratio according to the first TA distribution ratio set, where the first index value is used to quantitatively represent the total change trend of the target TA distribution ratio within the first number of consecutive statistical periods; obtaining a second TA distribution ratio set corresponding to a second number of consecutive statistical periods before the first statistical period, where the second number is less than the first number; determining a second index value corresponding to the target TA distribution ratio according to the second TA distribution ratio set, where the second index value is used to quantitatively represent the total change trend of the target TA distribution ratio within the second number of consecutive statistical periods; and determining the difference between the second index value and the first index value as the change intensity.

[0007] In some embodiments of the present application, after determining the difference between the second index value and the first index value as the change intensity, the method further includes: obtaining a third TA distribution ratio set corresponding to a third number of consecutive statistical periods before the first statistical period, where the third number is less than the second number; determining a third index value according to the difference and the third TA distribution ratio set, where the third index value is used to filter out the fluctuations in the difference; and determining a target value according to the difference and the third index value, and using the target value as the change intensity.

[0008] In some embodiments of the present application, determining the attitude of the antenna according to the change intensity includes: determining a target distance interval from multiple consecutive preset distance intervals whose absolute value of the change intensity satisfies a preset condition; and determining the attitude of the antenna according to the distance relationship between the target distance interval and the base station and the change direction of the change intensity.

[0009] In some embodiments of the present application, multiple consecutive preset distance intervals are set in the following manner: taking the location of the base station as the first starting point of the first preset distance interval, and taking the point at a first distance from the first starting point as the first ending point of the first preset distance interval, where the first distance includes the physical distance corresponding to a preset number of timing advances (TAs); taking the first ending point as the second starting point of the second preset distance interval, and taking the point at a second distance from the second starting point as the second ending point of the second preset distance interval, where the second distance includes the first distance; and taking the interval distance from the second ending point to infinity as the third preset distance interval.

[0010] In some embodiments of the present application, determining the attitude of the antenna according to the distance relationship between the target distance interval and the base station and the change direction of the change intensity includes: when the target distance interval is the first preset distance interval and the change direction is positive, determining the attitude of the antenna as a low-lying attitude; when the target distance interval is the second preset distance interval or the third preset distance interval and the change direction is negative, determining the attitude of the antenna as a head-up attitude.

[0011] In some embodiments of the present application, determining the first index value corresponding to the target TA distribution ratio according to the first TA distribution ratio set includes: obtaining the first weight of the target TA distribution ratio and the weights corresponding to each distribution ratio in the first TA distribution ratio set, where the first weight is greater than the weights of all distribution ratios in the first TA distribution ratio set, and the weights corresponding to each distribution ratio in the first TA distribution ratio set decrease sequentially with the distance between the statistical period corresponding to the distribution ratio and the first statistical period; performing a weighted average calculation on the target TA distribution ratio and all distribution ratios in the first TA distribution ratio set according to the weights to obtain the first index value.

[0012] According to another aspect of the embodiments of the present application, there is also provided a device for detecting the attitude of an antenna, including: an acquisition module, configured to acquire the timing advance TA value of a user equipment within a first statistical period, where the user equipment is all user equipments within the coverage area of the antenna; a first determination module, configured to determine the target TA distribution ratio of the timing advance TA value within a plurality of consecutive preset distance intervals, where the plurality of consecutive preset distance intervals are sequentially set in a direction away from the base station starting from the base station; an execution module, configured to determine the change intensity of the target TA distribution ratio according to the historical TA distribution ratio corresponding to each preset distance interval within each preset distance interval, where the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio; a second determination module, configured to determine the attitude of the antenna according to the change intensity.

[0013] According to still another aspect of the embodiments of the present application, there is also provided an electronic device, including: a memory and a processor, where the memory is used to store program instructions; the processor is connected to the memory and is configured to execute to implement the above method for detecting the attitude of the antenna.

[0014] According to still another aspect of the embodiments of the present application, there is also provided a non-volatile storage medium, where the non-volatile storage medium includes a stored computer program, and the device where the non-volatile storage medium is located executes the above method for detecting the attitude of the antenna by running the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including computer instructions, which implement the above-mentioned antenna posture detection method when executed by a processor.

[0016] In the embodiment of the present application, the antenna posture is determined by analyzing the distribution ratio changes of the timing advance TA value of the user equipment in different distance intervals, so as to achieve the purpose of effectively identifying the abnormal antenna posture, thereby reducing manual intervention, realizing the technical effect of automatic detection of antenna posture, and improving user experience, and further solving the technical problem that the related technology detects the changes of the spotlight antenna posture through manual on-site inspection, which is inefficient and has a strong lag. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 It is a hardware structure block diagram of a computer terminal according to an antenna posture detection method of an embodiment of the present application;

[0019] Figure 2 is a flow chart of a method for detecting an antenna attitude according to an embodiment of the present application;

[0020] Figure 3a It is a schematic diagram of similarity and difference moving average lines of a near point area of ​​a method for detecting an antenna posture according to an embodiment of the present application;

[0021] Figure 3b is a schematic diagram of intensity variation of a near-point area of ​​a method for detecting an antenna attitude according to an embodiment of the present application;

[0022] Figure 3c is a schematic diagram of an antenna low-lying posture according to a method for detecting an antenna posture in an embodiment of the present application;

[0023] Figure 4a It is a schematic diagram of similarities and differences in moving averages of mid- and far-point areas of a method for detecting an antenna attitude according to an embodiment of the present application;

[0024] Figure 4b It is a schematic diagram of intensity variation of mid- and far-point areas in a method for detecting antenna attitude according to an embodiment of the present application;

[0025] Figure 4c is a schematic diagram of an antenna head-up posture according to a method for detecting an antenna posture in an embodiment of the present application;

[0026] Figure 5It is a schematic structural diagram of a device for detecting antenna attitude according to an embodiment of the present application. Detailed implementation manners

[0027] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily need to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0029] In order to better understand the embodiments of the present application, the technical terms involved in the embodiments of the present application are explained as follows:

[0030] Timing Advance (TA for short): A key parameter in wireless communication, used to indicate the time offset of a mobile device relative to a base station, so as to correct the signal arrival time difference caused by different distances and ensure the synchronization of uplink signals.

[0031] Measurement Report Statistics (MRS for short): In a wireless network, it is the statistical result of user equipment measurement data collected and analyzed by network equipment, including information such as signal strength, signal quality, and neighbor cell measurement, and is often used for network optimization and fault troubleshooting.

[0032] Exponential Weighted Moving Average (EWMA for short): A data analysis method that smooths data by giving higher weights to recent data and lower weights to long-term data, in order to reduce noise and discover trends.

[0033] In drip irrigation scenarios such as residential areas and universities, spotlight antennas are usually used to achieve wireless signal coverage. Over time, the problem of poor signal quality of spotlight antennas has gradually emerged. After installing spotlight antennas on rooftops of residential buildings, teaching buildings, dormitories, etc., due to reasons such as bad weather and device quality, the antenna brackets may not be firmly fixed, resulting in abnormal postures of the antenna such as drooping or tilting upwards. The user experience within the coverage area deteriorates severely. When the installation height is relatively high, it may even cause the antenna to fall from the rooftop, having a huge impact on the personal safety of users. Related technologies cannot effectively monitor the changes in the posture of spotlight antennas and can only discover problems through manual on-site verification, which is inefficient and has a strong lag, being unfavorable for the development of operation and maintenance work and the improvement of user satisfaction.

[0034] To solve the above technical problems, the embodiments of the present application provide corresponding solutions, which are described in detail below.

[0035] The embodiment of the method for detecting the antenna posture provided by the embodiments of the present application can be executed in a mobile terminal, a computer terminal, or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal for implementing the method for detecting the antenna posture is shown. As Figure 1 shown, the computer terminal 10 may include one or more (shown as 102a, 102b,..., 102n in the figure) processors (the processor may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions connected by wired and / or wireless networks. In addition, it may further include: a display, a keyboard, a cursor control device, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, and a BUS bus. Those of ordinary skill in the art can understand that Figure 1 the structure shown is only schematic and does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 may further include more or fewer components than Figure 1 shown, or have a different configuration from Figure 1 shown.

[0036] It should be noted that the above one or more processors and / or other data processing circuits are usually referred to as "data processing circuits" in this article. The data processing circuit may be fully or partially embodied as software, hardware, firmware, or any combination thereof. In addition, the data processing circuit may be a single independent processing module, or fully or partially incorporated into any one of the other components in the computer terminal 10. As involved in the embodiments of the present application, the data processing circuit is a kind of processor control (such as the selection of a variable resistance terminal path connected to the interface).

[0037] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the antenna attitude detection method in the embodiments of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the above-mentioned antenna attitude detection method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory 104 may further include a memory remotely provided with respect to the processor, and these remote memories can be connected to the computer terminal 10 through a network. Examples of the above network include but are not limited to the Internet, enterprise intranet, local area network, mobile communication network, and combinations thereof.

[0038] The transmission module 106 is used to receive or send data via a network. Specific examples of the above network may include the wireless network provided by the communication provider of the computer terminal 10. In one instance, the transmission module 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station and thus can communicate with the Internet. In one instance, the transmission module 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0039] The display can be, for example, a touch-screen liquid crystal display (LCD), and the liquid crystal display enables a user to interact with the user interface of the computer terminal 10.

[0040] It should be noted here that in some alternative embodiments, the above Figure 1 shown computer terminal may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware elements and software elements. It should be pointed out that Figure 1 is only an example of a specific specific instance and is intended to show the types of components that may exist in the above computer terminal.

[0041] Under the above operating environment, an embodiment of an antenna attitude detection method is provided in the embodiments of the present application. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0042] Figure 2 is a flowchart of an antenna attitude detection method according to an embodiment of the present application, asFigure 2 As shown in the figure, the method includes the following steps:

[0043] Step S202: Obtain the Timing Advance (TA) value of the user equipment within the first statistical period, where the user equipment is all user equipment within the antenna coverage area.

[0044] In the above step S202, since the distances between the base station and user equipment at different positions are different, the signal propagation times will also vary. To ensure signal synchronization on the uplink for multiple user equipment, the network needs to correct this time difference. The Timing Advance (TA) value (abbreviated as TA value) refers to the time offset of the User Equipment (UE) relative to the base station calculated by the network to ensure the synchronization of the UE's uplink signal with the base station, which is used to reflect the distance between the UE and the base station and compensate for the delay during signal propagation. In 4G and 5G networks, the TA value is calculated based on the distance between the user equipment and the base station. For example, the TA value corresponding to a 15 kHz subcarrier is approximately 78 meters, and the TA value corresponding to a 30 kHz subcarrier is approximately 39 meters.

[0045] In some embodiments of the present application, the network device (such as a base station) can automatically collect the TA value of the UE through an uplink feedback mechanism. This process involves the base station monitoring the uplink signal sent by the UE and calculating the TA value based on the signal arrival time. For example, each time the UE communicates with the base station, the base station automatically calculates the TA value of the UE based on the analysis of the signal arrival time and records it in the MRS (Measurement Report Statistics) data. The system can query the MRS database of the base station to extract the TA value records of all UEs within the first statistical period, and these records can include UE identifiers, TA values, and corresponding acquisition times.

[0046] Step S204: Determine the target TA distribution ratio of the Timing Advance (TA) value within multiple consecutive preset distance intervals, where the multiple consecutive preset distance intervals are sequentially set starting from the base station in the direction away from the base station.

[0047] In the above step S204, to finely analyze the UE distribution, the network coverage area can be divided into multiple consecutive preset distance intervals. These intervals start from the base station and expand sequentially around the base station, and each interval corresponds to a TA value range.

[0048] In some embodiments of the present application, multiple consecutive preset distance intervals can be set in the following manner. Specifically: Take the location of the base station as the first starting point of the first preset distance interval, and take the point at a first distance from the first starting point as the first ending point of the first preset distance interval, where the first distance includes the physical distance corresponding to a preset number of Timing Advance (TA) values; Take the first ending point as the second starting point of the second preset distance interval, and take the point at a second distance from the second starting point as the second ending point of the second preset distance interval, where the second distance includes the first distance; Take the interval distance from the second ending point to infinity as the third preset distance interval.

[0049] (1) Setting of the first preset distance interval: The location of the base station can be set as the starting point (i.e., 0 meters) of the first preset distance interval, and then the first ending point is determined according to a preset number of TA values. For example, in a 4G network, if the preset number is 3 TA values, then the first distance will be approximately 234 meters (78 meters for each TA value), and the first ending point is the point 234 meters away from the base station.

[0050] (2) Setting of the second preset distance interval: Take the first ending point (i.e., the first distance of 234 meters) as the second starting point of the second preset distance interval, and then set the second ending point. This second ending point can be the total distance of the two preset distance intervals. For example, in a 4G network, if the first distance is 234 meters, the second distance can be 468 meters.

[0051] (3) Setting of the third preset distance interval: Define the distance from the second ending point (468 meters in the above example) to infinity as the third preset distance interval. Since the coverage range of a wireless communication network is limited, in fact, the "infinity" here refers to the remaining coverage area beyond the ending point of the second preset distance interval.

[0052] Dividing the network coverage area into three intervals: near (the first preset distance interval), medium (the second preset distance interval), and far (the third preset distance interval) helps to finely analyze the distribution of User Equipment (UE) at different distances. This division method can more accurately capture the impact of antenna attitude changes (such as being low or raised) on the UE distribution ratio. For example, when the antenna is low, UEs may be more concentrated in the near-point area, while when the antenna is raised, the UE distribution may shift towards the far-point area. By monitoring the changes in the UE distribution ratio in the three intervals, anomalies in the spotlight antenna attitude can be detected in a timely manner. In addition, the division into three intervals provides a balanced method. Too many interval divisions will increase the computational complexity and the burden of data processing, while too few intervals may not accurately reflect the subtle changes in UE distribution. The three intervals are the best compromise based on practical experience and requirements, which can provide sufficient monitoring accuracy while maintaining computational efficiency.

[0053] The target TA distribution ratio refers to the actual distribution ratio of UEs within multiple consecutive preset distance intervals during the first statistical period, which is used to reflect the distribution of UEs in different distance intervals. In some embodiments of the present application, the TA value of each UE can be mapped to its corresponding preset distance interval. For example, if the TA value of a UE is 10, it is determined that the UE is located in the preset distance interval corresponding to approximately 780 meters away from the base station. Within each preset distance interval, the number of UEs in that preset distance interval is counted, and the ratio of the number of UEs in that interval to the total number of UEs is calculated to obtain the target TA distribution ratio.

[0054] Step S206: Within each preset distance interval, determine the change intensity of the target TA distribution ratio based on the historical TA distribution ratio corresponding to each preset distance interval, where the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio.

[0055] In the above step S206, the historical TA distribution ratio refers to the TA distribution of UEs in different preset distance intervals within at least one statistical period before the first statistical period. The historical ratio reflects the UE distribution characteristics of the spotlight antenna in the normal state and is the basis for setting the change intensity of the target TA distribution ratio. In some embodiments of the present application, the system can collect and analyze the MRS data within at least one statistical period before the first statistical period. By counting the number of UEs in each distance interval and calculating the ratio of them to the total number of UEs, the historical TA distribution ratio can be obtained. For example, it is statistically found that in the previous statistical period, the ratio of the number of UEs in the near-point area to the total number of UEs is 30%, the mid-point area is 50%, and the far-point area is 20%.

[0056] The change intensity is used to quantitatively represent the difference between the target TA distribution ratio and the historical TA distribution ratio, reflecting the change trend of the UE distribution ratio in the current statistical period. Within each preset distance interval, the target TA distribution ratio in the first statistical period can be compared with the corresponding historical TA distribution ratio to calculate the change intensity. In some embodiments of the present application, the change intensity is expressed as the difference or ratio difference between the two. For example, if in the near-point area, the target TA distribution ratio changes from 30% to 40%, the change intensity is +10%. The change intensity can be achieved through simple mathematical calculations such as subtraction or division, or more complex statistical methods such as the Exponential Moving Average (EMA) algorithm can be used to smooth the change intensity and reduce the impact of short-term fluctuations.

[0057] To more accurately judge the change in the antenna attitude and avoid misjudgment caused by short-term data fluctuations, the change intensity can be determined by comparing the TA distribution ratios of different historical periods. Specifically: Obtain a first set of TA distribution ratios corresponding to a first number of consecutive statistical periods before the first statistical period; Determine a first index value corresponding to the target TA distribution ratio based on the first set of TA distribution ratios, where the first index value is used to quantitatively represent the overall change trend of the target TA distribution ratio within the first number of consecutive statistical periods; Obtain a second set of TA distribution ratios corresponding to a second number of consecutive statistical periods before the first statistical period, where the second number is less than the first number; Determine a second index value corresponding to the target TA distribution ratio based on the second set of TA distribution ratios, where the second index value is used to quantitatively represent the overall change trend of the target TA distribution ratio within the second number of consecutive statistical periods; Determine the difference between the second index value and the first index value as the change intensity.

[0058] The first statistical period refers to the statistical data period currently being analyzed, which is used to compare with historical data to determine the attitude change of the spotlight antenna.

[0059] The first number of consecutive statistical periods refers to multiple consecutive statistical periods for reference before the first statistical period, and the data within these periods is used to calculate the long-term change trend (the first index value). The first set of TA distribution ratios contains the TA distribution ratio data of UEs in different preset distance intervals for each statistical period within the first number of consecutive statistical periods. The first index value is used to quantitatively represent the overall change trend of the target TA distribution ratio within the first number of consecutive statistical periods, and the first index value can be obtained by processing the first set of TA distribution ratios through statistical analysis methods such as moving average, exponential moving average (EMA), etc.

[0060] To more accurately reflect the change trend of the TA distribution ratio in the current period, a weighted average calculation method can be used to determine the first index value: Obtain the first weight of the target TA distribution ratio and the weights corresponding to each distribution ratio in the first set of TA distribution ratios, where the first weight is greater than the weights of all distribution ratios in the first set of TA distribution ratios, and the weights corresponding to each distribution ratio in the first set of TA distribution ratios decrease sequentially with the distance between the statistical period corresponding to the distribution ratio and the first statistical period; Perform a weighted average calculation on the target TA distribution ratio and all distribution ratios in the first set of TA distribution ratios according to the weights to obtain the first index value.

[0061] The first weight refers to the weight of the target TA distribution ratio, which is higher than the weights of all other data points in the first TA distribution ratio set. The setting of the first weight emphasizes the core position of the current cycle data in reflecting the overall change trend. In some embodiments of the present application, the determination of the first weight is usually based on experience or algorithm optimization, and it reflects the importance of the current cycle data in the overall change trend analysis. For example, the first weight can be set to 1, while the weights of historical data can be set to 0.9, 0.8, 0.7, etc., decreasing in sequence.

[0062] The weight corresponding to each distribution ratio in the first TA distribution ratio set refers to the weights respectively assigned to the historical TA distribution ratios within the first number of consecutive statistical cycles, and the weights decrease with the time distance from the statistical cycle to the first statistical cycle. The setting of the decreasing weights can reduce the influence of historical data on the current cycle change trend, making the analysis more focused on recent data, and can be achieved through mathematical formulas or logical rules. For example, an exponential decay function can be used to calculate the weights, and the farther the statistical cycle is from the current cycle, the smaller the weight.

[0063] In some embodiments of the present application, the first index value can be calculated by the following formula:

[0064] EX X =[TA×2 + EX X-1 ×(X - 1)] / (X + 1) (1)

[0065] where EX X represents the exponentially weighted moving average (such as the first index value, the second index value) calculated in the Xth statistical cycle, TA represents the target TA distribution ratio, EX X-1 represents the exponentially weighted moving average calculated in the previous statistical cycle (the (X - 1)th cycle), X - 1 represents the weight of the previous statistical cycle (the (X - 1)th cycle), and "2" represents the first weight.

[0066] The second number of consecutive statistical cycles is similar to the first number of consecutive statistical cycles, but the number of cycles is less. The data within these cycles is used to calculate the short-term change trend (the second index value). The second TA distribution ratio set contains the TA distribution ratio data of each statistical cycle of the UE within different preset distance intervals within the second number of consecutive statistical cycles. The second index value is used to quantitatively represent the total change trend of the target TA distribution ratio within the second number of consecutive statistical cycles. The determination method of the second index value can be the same as that of the first index value, which will not be elaborated here. After long-term and short-term processing of the TA distribution ratio of any preset distance interval using the above formula, EX X_long (the first index value), EX X_short(The second indicator value). Since different weights are given to the historical data within the period according to X_long and X_short during processing, and the influence brought by the previous indicators is not discarded when focusing on the recent indicators, so EX X_long 、EX X_short can reflect the long-term and short-term trends of the TA distribution ratio while maintaining a certain stability. The closer the time is, the greater the weight of the TA distribution ratio, and it can more timely reflect the change of the TA distribution ratio.

[0067] The change intensity can be the difference between the second indicator value and the first indicator value, which is used to represent the difference between the change trend of the target TA distribution ratio in a shorter period and the long-term trend. The change intensity can be calculated by the following formula:

[0068] DIF = EX X_short - EX X_long (2)

[0069] Among them, DIF represents the change intensity. When DIF > 0, the proportion of UEs in the corresponding preset distance interval in the short term rises; when DIF < 0, the proportion of UEs in the corresponding preset distance interval in the short term falls.

[0070] After determining the difference between the second indicator value and the first indicator value as the change intensity, the following steps can also be executed: Obtain the set of the third TA distribution ratios corresponding to the third number of consecutive statistical periods before the first statistical period, where the third number is less than the second number; Determine the third indicator value based on the difference and the set of the third TA distribution ratios, where the third indicator value is used to filter out the fluctuations in the difference; Determine the target value based on the difference and the third indicator value, and use the target value as the change intensity.

[0071] The third indicator value is calculated based on the set of the third TA distribution ratios and is used to filter out the short-term fluctuations in the difference, ensuring that the change intensity reflects a meaningful long-term change trend rather than accidental noise. The determination method of the third indicator value can be the same as that of the first indicator value, which will not be elaborated here.

[0072] The target value can be calculated by the following formula:

[0073] H = 2×(DIF - DEA) (3)

[0074] Among them, H represents the target value, and DEA represents the third indicator value. When H is greater than the set threshold, it can be determined that the attitude of the spotlight antenna is abnormal.

[0075] Step S208, determine the attitude of the antenna according to the change intensity.

[0076] In the above step S208, in order to quickly locate the area with antenna attitude problems and facilitate targeted adjustment by network optimization personnel, the attitude of the antenna can be determined through the following steps: Determine a target distance interval whose absolute value of the change intensity satisfies a preset condition from multiple consecutive preset distance intervals; Determine the attitude of the antenna based on the distance relationship between the target distance interval and the base station and the change direction of the change intensity.

[0077] In some embodiments of the present application, the attitude of the antenna can be determined through the following steps: When the target distance interval is the first preset distance interval and the change direction is positive, determine that the attitude of the antenna is a low-lying attitude; When the target distance interval is the second preset distance interval or the third preset distance interval, and the change direction is negative, determine that the attitude of the antenna is a raised-head attitude.

[0078] The low-lying attitude means that the spotlight antenna is tilted downward relative to its ideal vertical installation position, so that the main radiation direction of the antenna is more biased towards the ground or a closer distance area. This attitude anomaly usually causes the signal strength received by user equipment (UE) in the near-point area to increase, while the signal strength received by UE in the far-point area decreases, thereby changing the distribution ratio of UEs in different distance segments. In the monitoring of the spotlight antenna attitude, if it is detected that the proportion of UEs in the first preset distance interval (such as [0, 234) meters, that is, the near-point area) increases significantly in the positive direction, that is, the change intensity (the change direction is positive) exceeds the preset threshold, it can be judged that the antenna is in a low-lying attitude.

[0079] The raised-head attitude means that the spotlight antenna is tilted upward relative to its ideal vertical installation position, so that the main radiation direction of the antenna is more biased towards the sky or a farther distance area. This attitude anomaly usually causes the signal strength received by UE in the near-point area to decrease, while the signal strength received by UE in the far-point area may increase, changing the distribution ratio of UEs in different distance segments. In the monitoring of the spotlight antenna attitude, if it is detected that the proportion of UEs in the second preset distance interval (such as [234, 468) meters, that is, the mid-point area) or the third preset distance interval (such as [468, ∞) meters, that is, the far-point area) changes significantly in the negative direction (the change direction is negative), that is, the change intensity is lower than the preset threshold, it can be judged that the antenna is in a raised-head attitude.

[0080] Taking multiple continuous preset distance intervals of [0, 234) meters, [234, 468) meters, and [468, ∞) meters as examples, when the change intensity is the difference between the second index value and the first index value, the target distance interval in which the absolute value of the change intensity DIF meets the preset condition (such as exceeding the threshold) can be determined from the three preset distance intervals. For example, if the absolute value of DIF exceeds the threshold in the interval [0, 234) meters, it means that the distribution ratio of near-point UEs (UEs in the first preset distance interval) has changed significantly; if the target distance interval is [0, 234) meters, and DIF>0, it means that the proportion of near-point users has increased, which may mean that the antenna is lying low; if DIF<0, it means that the proportion of near-point users has decreased, which may mean that the antenna is raised. Similarly, for the intervals [234, 468) meters and [468, ∞) meters, the changing trend of the antenna posture can be judged by the positive and negative changes of DIF.

[0081] In the case where the change intensity is to determine the target value (H) based on the difference and the third indicator value, the preset distance interval with the largest H value can be determined as the target distance interval. The larger the H value, the more significant the change in the UE distribution ratio. For example, for the three distance intervals of near point, midpoint and far point, if the H value of the target distance interval is positive and exceeds the threshold, it indicates that the UE proportion has increased in the short term, and it can be determined that the antenna is lying down; if the H value is negative and lower than the threshold, it indicates that the UE proportion has decreased in the short term, and it can be determined that the antenna is raised.

[0082] Through the above steps S202 to S208, the antenna posture is determined by analyzing the distribution ratio changes of the timing advance TA value of the user equipment in different distance intervals, so as to achieve the purpose of effectively identifying the abnormal antenna posture, thereby reducing manual intervention, realizing automatic detection of antenna posture, and improving the technical effect of user experience, thereby solving the technical problem that the related technology detects the changes of the spotlight antenna posture through manual on-site inspection, which is inefficient and has a strong lag.

[0083] This application performs long-term and short-term exponentially decreasing weighted moving smoothing on the TA distribution ratios in multiple preset distance intervals to form a moving average of similarities and differences, and then performs a secondary exponentially decreasing weighted moving smoothing on the discrete differences of the moving averages of similarities and differences. By analyzing the intensity of changes in indicators, automatic and accurate monitoring of abnormal posture antennas can be achieved, so that the quality of the wireless network can be restored before user complaints, thereby improving user satisfaction.

[0084] In order to facilitate understanding of the above content, two specific embodiments are explained below. Figure 3a , Figure 3b , Figure 3c Corresponding to a specific embodiment, Figure 4a , Figure 4b , Figure 4cCorresponding to another specific embodiment.

[0085] Figure 3a is a schematic diagram of similarities and differences in moving averages of near-point areas of a method for detecting antenna posture according to an embodiment of the present application, such as Figure 3a As shown, the horizontal axis (X-axis) represents time, from 0 days to 14 days, which is used to show the trend of TA distribution ratio changes in different time periods. Each point corresponds to a statistical period, reflecting the smoothed value of the UE distribution ratio of the spotlight antenna in that period. The vertical axis (Y-axis) represents the smoothed value, including near-point smoothing 1 (first indicator value) and near-point smoothing 2 (second indicator value), ranging from 0 to 10. The smoothed value reflects the result of the UE distribution ratio in different distance segments after long-term and short-term exponential decreasing weighted moving smoothing. The higher the smoothed value, the higher the distribution ratio of UE in this distance segment. The blue solid line (circular mark) represents near-point smoothing 1, that is, the long-term exponential moving average, which reflects the long-term change trend of the UE distribution ratio in the near-point area. The orange solid line (triangular mark) represents near-point smoothing 2, that is, the short-term exponential moving average, which reflects the short-term change trend of the UE distribution ratio in the near-point area. Figure 3a By comparing the long-term and short-term smoothing values, we can observe the long-term and short-term change trends of the UE distribution ratio in the near-point area, which provides a basis for judging the abnormality of the antenna posture.

[0086] Figure 3b is a schematic diagram of the intensity variation of the near-point area of ​​a method for detecting an antenna attitude according to an embodiment of the present application, such as Figure 3b As shown in the figure, the horizontal axis (X-axis) represents time, from 0 days to 14 days, which is used to show the change of change intensity over time. The vertical axis (Y-axis) represents the change intensity H of the near point distribution, ranging from 0 to 3 (can also be negative). The change intensity H is a calculation indicator used to quantify the difference between the short-term change and the long-term change in the distribution ratio of UE in the near point area. The blue dot represents the change intensity H value of the near point distribution on a certain day. For example, the change intensity H value corresponding to X12 (the 12th day) in the figure is 2.69132. Figure 3b By showing the dynamic changes of the change strength H value, you can intuitively judge whether the antenna posture is abnormal. For example, when the H value suddenly increases and exceeds the preset threshold, it may mean that the antenna is lying low, otherwise it may be that the antenna is raised.

[0087] Figure 3a Displays the long-term and short-term trends of the TA distribution ratio of UEs in the near-point area. Figure 3b Based on Figure 3aThe change intensity H is calculated by comparing the trend difference between the short-term smooth line (near point smoothing 2) and the long-term smooth line (near point smoothing 1) in the above figure, and calculating the DIF value. The DIF value is further processed to obtain the change intensity H. When the H value increases significantly (positive change) and exceeds the preset threshold, combined with the rising trend of the near-point UE distribution ratio in the above figure, it can be judged that the antenna posture is abnormal. It can be seen that in this embodiment, the early near-point user distribution of the antenna sector was relatively stable. On the 11th day of monitoring, the short-term near-point TA distribution ratio suddenly changed, and the change intensity increased rapidly and exceeded the threshold. Therefore, the antenna was judged to be low. After on-site verification, Figure 3c As shown, relative to the original posture of the antenna (corresponding to the angle θ), the antenna is in a low-lying state (corresponding to the angle θ 1 ). After tracing back the performance data, the near-point TA distribution ratio of this sector is [40.6 39.8 42.1 43.5 42.3 41.4 43.2 42.944.1 43.8 42.6 70.9 75.290.4]. The near-point TA distribution ratio suddenly changed from about 40% to more than 70%, and then increased to 90.4%, which is in line with the characteristics of the low-lying antenna.

[0088] Figure 4a is a schematic diagram of similarity and difference moving averages of mid- and far-point areas of a method for detecting antenna posture according to an embodiment of the present application, Figure 4b Schematic diagram of the intensity variation of the mid- and far-point areas of a method for detecting antenna attitude according to an embodiment of the present application. The meanings of the horizontal and vertical coordinates are the same as those of Figure 3a , Figure 3b The change intensity H value corresponding to X9 (9th day) in the figure is 1.47197. In this embodiment, the distribution of mid- and far-point users in the antenna sector was relatively stable in the early stage. On the 9th day of monitoring, the proportion of short-term mid- and far-point TA distribution suddenly changed, and the change intensity increased rapidly and exceeded the threshold, so it was determined that the antenna was raised. After on-site verification, such as Figure 4c As shown, relative to the original posture of the antenna (corresponding to angle θ), the antenna is in a head-up state (corresponding to angle θ 2 ). According to the performance data, the proportion of TA distribution at mid- and far-points in this sector is [56.3 57.5 54.8 58.6 59.4 58.660.8 61.3 75.8 80.6 81.2 83.4 86.2]. The proportion of TA distribution at mid- and far-points suddenly changes from about 60% to more than 75%, and then increases to 86.2%, which is in line with the characteristics of antenna head-up.

[0089] Figure 5 is a structural diagram of an antenna attitude detection device according to an embodiment of the present application, such as Figure 5 As shown, the device comprises:

[0090] An acquisition module 502, configured to acquire timing advance (TA) values of user equipment within a first statistical period, where the user equipment is all user equipment within the antenna coverage area;

[0091] A first determination module 504, configured to determine target TA distribution ratios of the TA values within a plurality of consecutive preset distance intervals respectively, where the plurality of consecutive preset distance intervals are sequentially set in a direction away from the base station starting from the base station;

[0092] An execution module 506, configured to determine the change intensity of the target TA distribution ratio according to a historical TA distribution ratio corresponding to each preset distance interval within each preset distance interval, where the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio;

[0093] A second determination module 508, configured to determine the attitude of the antenna according to the change intensity.

[0094] In the above device for detecting the antenna attitude, the execution module is further configured to acquire a first TA distribution ratio set corresponding to a first number of consecutive statistical periods before the first statistical period; determine a first index value corresponding to the target TA distribution ratio according to the first TA distribution ratio set, where the first index value is used to quantitatively represent the total change trend of the target TA distribution ratio within the first number of consecutive statistical periods; acquire a second TA distribution ratio set corresponding to a second number of consecutive statistical periods before the first statistical period, where the second number is less than the first number; determine a second index value corresponding to the target TA distribution ratio according to the second TA distribution ratio set, where the second index value is used to quantitatively represent the total change trend of the target TA distribution ratio within the second number of consecutive statistical periods; and determine the difference between the second index value and the first index value as the change intensity.

[0095] In the above device for detecting the antenna attitude, the execution module is further configured to acquire a third TA distribution ratio set corresponding to a third number of consecutive statistical periods before the first statistical period, where the third number is less than the second number; determine a third index value according to the difference and the third TA distribution ratio set, where the third index value is used to filter out the fluctuations in the difference; determine a target value according to the difference and the third index value, and use the target value as the change intensity.

[0096] In the above device for detecting the antenna attitude, the second determination module is further configured to determine a target distance interval whose absolute value of the change intensity satisfies a preset condition from the plurality of consecutive preset distance intervals; and determine the attitude of the antenna according to the distance relationship between the target distance interval and the base station and the change direction of the change intensity.

[0097] In the above antenna attitude detection device, the second determination module is further configured to use the location where the base station is located as the first starting point of the first preset distance interval, and use the point at a first distance from the first starting point as the first ending point of the first preset distance interval, where the first distance includes the physical distance corresponding to a preset number of timing advance (TA) values; use the first ending point as the second starting point of the second preset distance interval, and use the point at a second distance from the second starting point as the second ending point of the second preset distance interval, where the second distance includes the first distance; use the interval distance from the second ending point to infinity as the third preset distance interval.

[0098] In the above antenna attitude detection device, the second determination module is further configured to determine that the attitude of the antenna is a low-lying attitude when the target distance interval is the first preset distance interval and the change direction is forward; determine that the attitude of the antenna is a raised-head attitude when the target distance interval is the second preset distance interval or the third preset distance interval and the change direction is backward.

[0099] In the above antenna attitude detection device, the execution module is further configured to obtain the first weight of the target TA distribution ratio and the weight corresponding to each distribution ratio in the first TA distribution ratio set, where the first weight is greater than the weights of all distribution ratios in the first TA distribution ratio set, and the weight corresponding to each distribution ratio in the first TA distribution ratio set decreases sequentially with the distance between the statistical period corresponding to the distribution ratio and the first statistical period; perform a weighted average calculation on the target TA distribution ratio and all distribution ratios in the first TA distribution ratio set according to the weights to obtain a first index value.

[0100] It should be noted that Figure 5 the shown antenna attitude detection device is used to execute Figure 2 the shown antenna attitude detection method. Therefore Figure 2 the relevant explanations in the antenna attitude detection method in Figure 5 also apply to the shown antenna attitude detection device and will not be elaborated here.

[0101] The embodiment of the present application further provides an electronic device, which includes a memory and a processor. The memory is used to store program instructions; the processor is connected to the memory and is used to execute the steps of implementing the antenna attitude detection method in each embodiment of the present application.

[0102] For example, the processor executes the following functions by executing the program instructions stored in the memory:

[0103] Obtain the timing advance (TA) value of user equipment within the first statistical period, where the user equipment is all user equipment within the antenna coverage area; determine the target TA distribution ratio of the TA value within multiple consecutive preset distance intervals respectively, where the multiple consecutive preset distance intervals are set in sequence starting from the base station in the direction away from the base station; within each preset distance interval, determine the change intensity of the target TA distribution ratio according to the historical TA distribution ratio corresponding to each preset distance interval, where the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio; determine the attitude of the antenna according to the change intensity.

[0104] An embodiment of the present application also provides a non-volatile storage medium, which includes a stored computer program. Wherein, the device where the non-volatile storage medium is located executes the steps of the antenna attitude detection method in various embodiments of the present application by running the computer program.

[0105] An embodiment of the present application also provides a computer program product, including computer instructions, which implement the steps of the antenna attitude detection method in various embodiments of the present application when executed by a processor.

[0106] An embodiment of the present application also provides a computer program, which implements the steps of the antenna attitude detection method in various embodiments of the present application when executed by a processor.

[0107] The serial numbers of the above embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0108] In the above embodiments of the present application, the descriptions of each embodiment have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0109] In several embodiments provided by the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the units or modules can be in an electrical or other form.

[0110] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0111] In addition, each functional unit in various embodiments of the present application may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0112] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: USB flash drives, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), mobile hard disks, magnetic disks, or optical disks, etc., all kinds of media that can store program codes.

[0113] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A method for detecting an antenna attitude, characterized in that: include: Acquire a timing advance TA value of a user equipment in a first statistical period, wherein the user equipment is all user equipments within an antenna coverage area; Determine a target TA distribution ratio of the timing advance TA value in a plurality of consecutive preset distance intervals, wherein the plurality of consecutive preset distance intervals are sequentially arranged with a base station as a starting point in a direction away from the base station; In each preset distance interval, the change intensity of the target TA distribution ratio is determined according to the historical TA distribution ratio corresponding to each preset distance interval, wherein the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio; The posture of the antenna is determined according to the change strength.

2. The method according to claim 1, characterized in that In each preset distance interval, determining the change intensity of the target TA distribution ratio according to the historical TA distribution ratio corresponding to each preset distance interval includes: Acquire a first TA distribution ratio set corresponding to a first number of consecutive statistical periods before the first statistical period; determine a first indicator value corresponding to the target TA distribution ratio according to the first TA distribution ratio set, wherein the first indicator value is used to quantitatively represent the overall change trend of the target TA distribution ratio within the first number of consecutive statistical periods; Obtain a second TA distribution ratio set corresponding to a second number of consecutive statistical periods before the first statistical period, wherein the second number is less than the first number; determine a second indicator value corresponding to the target TA distribution ratio according to the second TA distribution ratio set, wherein the second indicator value is used to quantitatively represent the overall change trend of the target TA distribution ratio within the second number of consecutive statistical periods; A difference between the second index value and the first index value is determined as the change intensity.

3. The method according to claim 2, characterized in that After determining the difference between the second indicator value and the first indicator value as the change intensity, the method further includes: Obtaining a third TA distribution ratio set corresponding to a third number of consecutive statistical periods before the first statistical period, wherein the third number is less than the second number; Determining a third indicator value according to the difference and the third TA distribution ratio set, wherein the third indicator value is used to filter fluctuations in the difference; A target value is determined according to the difference and the third indicator value, and the target value is used as the change intensity.

4. The method according to claim 1, characterized in that: Determining the posture of the antenna according to the change strength includes: Determine, from the plurality of continuous preset distance intervals, a target distance interval in which the absolute value of the change intensity meets a preset condition; The posture of the antenna is determined according to the distance relationship between the target distance interval and the base station and the changing direction of the changing intensity.

5. The method according to claim 4, characterized in that The plurality of continuous preset distance intervals are set in the following manner: Taking the location of the base station as a first starting point of a first preset distance interval, and taking a point at a first distance from the first starting point as a first ending point of the first preset distance interval, wherein the first distance includes physical distances corresponding to a preset number of timing advance TA values; Using the first end point as a second start point of a second preset distance interval, and using a point at a second distance from the second start point as a second end point of the second preset distance interval, wherein the second distance includes the first distance; The interval distance from the second end point to infinity is used as the third preset distance interval.

6. The method according to claim 5, characterized in that Determining the posture of the antenna according to the distance relationship between the target distance interval and the base station and the change direction of the change intensity includes: When the target distance interval is the first preset distance interval and the change direction is positive, determining that the posture of the antenna is a low-lying posture; When the target distance interval is the second preset distance interval or the third preset distance interval, and the change direction is reverse, it is determined that the posture of the antenna is a head-up posture.

7. The method according to claim 2, characterized in that Determining a first indicator value corresponding to the target TA distribution ratio according to the first TA distribution ratio set includes: Obtaining a first weight of the target TA distribution ratio and a weight corresponding to each distribution ratio in the first TA distribution ratio set, wherein the first weight is greater than the weights of all distribution ratios in the first TA distribution ratio set, and the weight corresponding to each distribution ratio in the first TA distribution ratio set decreases in sequence with the distance between the statistical period corresponding to the distribution ratio and the first statistical period; The target TA distribution ratio and all distribution ratios in the first TA distribution ratio set are weighted averaged according to the weight to obtain the first indicator value.

8. A device for detecting antenna attitude, characterized in that: include: An acquisition module, configured to acquire a timing advance TA value of a user equipment in a first statistical period, wherein the user equipment is all user equipment within an antenna coverage area; A first determination module is used to determine a target TA distribution ratio of the timing advance TA value in a plurality of consecutive preset distance intervals, wherein the plurality of consecutive preset distance intervals are sequentially arranged with a base station as a starting point in a direction away from the base station; an execution module, configured to determine, within each preset distance interval, a change intensity of the target TA distribution ratio according to a historical TA distribution ratio corresponding to each preset distance interval, wherein the historical TA distribution ratio is a distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent a change trend of the target TA distribution ratio; The second determination module is used to determine the posture of the antenna according to the change strength.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory is used to store program instructions; the processor is connected to the memory and is used to execute the antenna posture detection method described in any one of claims 1 to 7.

10. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the antenna posture detection method according to any one of claims 1 to 7 by running the computer program.

11. A computer program product comprising computer instructions, characterized in that: When the computer instructions are executed by a processor, the antenna posture detection method described in any one of claims 1 to 7 is implemented.

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