Antenna inclination angle monitoring method, monitoring terminal, storage medium and computer program product

Abstract

The invention provides an antenna inclination angle monitoring method, a monitoring terminal, a storage medium and a computer program product, the monitoring terminal is deployed on an antenna, and the method comprises the following steps: collecting static motion data and dynamic motion data of the antenna; determining attitude information of the antenna based on the static motion data, and determining dynamic vibration information of the antenna based on the dynamic motion data; and determining a monitoring result of the antenna inclination angle based on the antenna attitude information and the dynamic vibration information.

Description

Technical Field

[0001] This application relates to the field of antenna tilt monitoring technology, and in particular to an antenna tilt monitoring method, monitoring terminal, storage medium and computer program product. Background Technology

[0002] Spotlight antennas are one of the main methods used by operators to provide base station signal coverage in residential areas. Due to factors such as strong winds and human damage, spotlight antennas may become tilted or collapse, thus altering the originally planned wireless signal coverage area.

[0003] In related technologies, the monitoring of spotlight antennas often relies on manual inspection. However, manual inspection has a long cycle, poor timeliness, and a high rate of missed detection, resulting in low reliability of the monitoring results of spotlight antennas. Summary of the Invention

[0004] In view of this, embodiments of this application provide an antenna tilt angle monitoring method, a monitoring terminal, a storage medium, and a computer program product, which can improve the reliability of antenna tilt angle monitoring.

[0005] The technical solution of this application is implemented as follows: In a first aspect, this application provides an antenna tilt angle monitoring method, applied to a monitoring terminal deployed on an antenna, the method comprising: Collect static and dynamic motion data of the antenna; The antenna attitude information is determined based on static motion data, and the dynamic vibration information of the antenna is determined based on dynamic motion data. The antenna tilt angle is determined based on the antenna attitude information and dynamic vibration information.

[0006] Secondly, this application provides a monitoring terminal, the monitoring terminal comprising: The sensing layer module is used to collect static and dynamic motion data of the antenna; The processing layer module is used to determine the antenna attitude information based on static motion data and the dynamic vibration information of the antenna based on dynamic motion data. The processing layer module is also used to determine the monitoring results of the antenna tilt angle based on the antenna attitude information and dynamic vibration information.

[0007] Thirdly, this application provides a monitoring terminal, which includes a processor and a memory; the processor executes the running program stored in the memory to implement the above-described antenna tilt angle monitoring method.

[0008] Fourthly, this application provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described antenna tilt angle monitoring method.

[0009] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the above-described antenna tilt angle monitoring method.

[0010] This application provides an antenna tilt monitoring method, a monitoring terminal, a storage medium, and a computer program product. The monitoring terminal is deployed on the antenna. The method includes: collecting static motion data and dynamic motion data of the antenna; determining the antenna's attitude information based on the static motion data and determining the antenna's dynamic vibration information based on the dynamic motion data; and determining the antenna tilt monitoring result based on the antenna attitude information and dynamic vibration information. By employing the above implementation scheme, the monitoring terminal deployed on the antenna actively collects static motion data and dynamic motion data of the antenna corresponding to the monitoring terminal. The static motion data is used to determine the antenna's current attitude information, and the dynamic motion data is used to determine the antenna's dynamic vibration information. By combining the static antenna attitude information with the antenna's dynamic vibration information, antenna tilt monitoring is performed from multiple dimensions. Furthermore, the monitoring terminal can autonomously collect static and dynamic motion data, thus improving the reliability of the antenna tilt monitoring results. Attached Figure Description

[0011] Figure 1 A flowchart illustrating an antenna tilt monitoring method provided in this application embodiment; Figure 2 This application provides a schematic diagram illustrating the switching of a power supply between sleep and working states. Figure 3 This is a schematic diagram of a power supply mode switching provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a real-time antenna tilt monitoring system provided in an embodiment of this application; Figure 5 A schematic diagram illustrating the process of determining and reporting the tilt angle monitoring results of a spotlight antenna, provided for an embodiment of this application; Figure 6 A schematic diagram of the composition structure of a monitoring terminal provided in this application embodiment. Figure 1 ; Figure 7 A schematic diagram of the composition structure of a monitoring terminal provided in this application embodiment. Figure 2 . Detailed Implementation

[0012] To gain a more detailed understanding of the features and technical content of the embodiments of this application, the technical solution of this application will be further described in detail below with reference to the accompanying drawings and specific embodiments. The accompanying drawings are for reference only and are not intended to limit the embodiments of this application.

[0013] Unless otherwise defined, all technical and scientific terms used in the embodiments of this application have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the embodiments of this application is for the purpose of describing the embodiments of this application only and is not intended to limit this application.

[0014] In the following description, references to "some embodiments" refer to a subset of all possible embodiments. It is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. It should also be noted that the terms "first / second / third" used in the embodiments of this application are merely for distinguishing similar objects and do not represent a specific ordering of objects. It is understood that "first / second / third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein.

[0015] Spotlight antennas are one of the main methods used by operators to provide base station signal coverage in residential areas. Typically, spotlight antennas are used for coverage between buildings within a complex, with usually four antennas deployed on the roof of each building. This is a low-cost method for deep coverage in residential areas. However, due to factors such as strong winds and vandalism, existing network spotlight antennas may become tilted or collapse, altering the originally planned wireless signal coverage area and leading to user complaints.

[0016] Traditional spotlight antenna monitoring methods include manual inspection, active attitude sensors, and solutions such as Radio Frequency Identification (RFID) / Bluetooth. However, manual inspection is time-consuming, inefficient, and has a high rate of missed detections; active attitude sensors rely on mains power and wiring, making maintenance difficult and costly; and RFID / Bluetooth solutions require frequent maintenance and have short lifespans. Therefore, traditional spotlight antenna monitoring solutions currently face three main pain points: limited decision dimensions, power supply constraints, and excessively high operating costs.

[0017] Therefore, traditional spotlight antenna monitoring methods often rely on manual inspection or active solutions, which have problems such as high cost and difficult maintenance. In addition, the general service life of spotlight antennas is at least 5 to 7 years, so the monitoring system needs to ensure a service life of no less than 5 to 7 years.

[0018] To address the aforementioned issues, this application proposes a low-cost, passive, maintenance-free, and highly reliable method and system for monitoring the tilt angle of spotlight antennas. It can be applied to the intelligent operation and maintenance of communication infrastructure, specifically involving energy management for off-grid antenna attitude monitoring, joint diagnosis of vibration intensity and tilt angle, and low-power communication technologies.

[0019] The detailed technical solutions of this application embodiment are as follows: This application provides an antenna tilt angle monitoring method, such as... Figure 1 As shown, this method, applied to a monitoring terminal deployed on an antenna, may include: S101. Collect static and dynamic motion data of the antenna.

[0020] In this embodiment, the antenna may include a spotlight antenna, and this embodiment will be described using a spotlight antenna as an example.

[0021] In this embodiment of the application, the monitoring terminal is deployed on the arc-shaped top of the back of the spotlight antenna.

[0022] In this embodiment of the application, the static motion data includes: three-dimensional static acceleration data.

[0023] In this embodiment of the application, the dynamic motion data includes: three-dimensional dynamic acceleration data.

[0024] In this embodiment, the static and dynamic motion data of the antenna can be acquired through the sensing layer of the monitoring terminal. This sensing layer consists of a triaxial micro-electro-mechanical systems (MEMS) accelerometer, used to acquire and calculate the angle value of the spotlight antenna tilt and the related acceleration data of the vibration data.

[0025] In this embodiment, data acquisition can be performed in conjunction with the actual monitoring needs of signal coverage. The network management platform supports remote configuration of the sampling frequency of the monitoring terminal; that is, the network management platform can configure the sampling frequency of the monitoring terminal through the base station.

[0026] In one embodiment of this application, the static motion data and dynamic motion data of the antenna can be collected by activating the monitoring terminal at a preset time and collecting the static motion data and dynamic motion data of the antenna through the monitoring terminal after the monitoring terminal has been activated.

[0027] In the embodiments of this application, starting at the preset time can be understood as timed startup.

[0028] In this embodiment of the application, in order to reduce the power consumption of the monitoring terminal, the monitoring terminal can be started at a preset time. The preset time can be a specific point in time or a certain period of time. Specifically, it can be selected according to the time. This embodiment of the application does not make a specific limitation.

[0029] In this embodiment of the application, during the data acquisition process, in combination with the monitoring requirements of signal coverage, the monitoring terminal in the system can be woken up at regular intervals. Through the MEMS accelerometer in the monitoring terminal, static acceleration data for calculating the tilt angle of the spotlight antenna and dynamic acceleration data for calculating dynamic vibration data can be collected.

[0030] In this embodiment of the application, data can be collected once a day, and the collection can be carried out at noon when the light intensity is strongest, taking into account the light intensity.

[0031] For example, if the monitoring terminal is set to start at 12 noon every day, it will automatically start at 12 noon and collect static and dynamic acceleration data of the spotlight antenna.

[0032] S102. Determine the antenna attitude information based on static motion data, and determine the dynamic vibration information of the antenna based on dynamic motion data.

[0033] In this embodiment, the antenna attitude information includes the tilt angle data of the spotlight antenna, which can be denoted as... .

[0034] In this embodiment of the application, the dynamic vibration information includes dynamic vibration intensity, which can be denoted as... .

[0035] In this embodiment, after the monitoring terminal collects the static acceleration data and dynamic acceleration data of the spotlight antenna using a MEMS accelerometer, it performs intelligent judgment, analyzes the tilt angle change and dynamic vibration of the collected sensor data (i.e., static acceleration data and dynamic acceleration data), identifies strong winds, impact events, etc., and outputs the tilt angle change monitoring results.

[0036] In one embodiment of this application, the antenna attitude information is determined based on static motion data, which can be achieved in the following way: Acquire historical static motion data of the antenna; based on the historical static motion data and the static motion data, determine the antenna attitude information.

[0037] In this embodiment, the historical static motion data is historical static acceleration data, which may include: the initial calibration acceleration vector of the MEMS accelerometer or the historical reference acceleration vector, which can be denoted as: .

[0038] In this embodiment, the static motion data is the collected static acceleration data, which is the current acceleration vector, and can be denoted as... The vector is represented as .

[0039] In this embodiment of the application, the antenna attitude information (i.e., tilt angle data) represents the change in tilt angle of the spotlight antenna, and the specific calculation is shown in the following formula (1): (1) in, This represents tilt angle data (or tilt angle change, measured in radians or degrees), reflecting changes in antenna attitude.

[0040] This represents the current acceleration vector. This represents the initial calibration or historical reference acceleration vector.

[0041] In this embodiment, the dynamic vibration information of the antenna is determined based on dynamic motion data to evaluate the vibration intensity. Specifically, the following formula (2) can be used for calculation: (2) in, This represents the dynamic vibration acceleration (excluding the static component) at the i-th sampling point. The i-th sampling point can be understood as the i-th moment, such as the first second, the second second, etc.

[0042] N is the sampling window size. It represents dynamic vibration information, specifically the root mean square value of vibration intensity, which can be used to identify strong winds or impact events.

[0043] It should be noted that multiple samplings can rule out occasional occurrences.

[0044] S103. Based on antenna attitude information and dynamic vibration information, determine the monitoring results of antenna tilt angle.

[0045] In this embodiment of the application, whether the tilt angle of the spotlight antenna is abnormal can be determined by a joint judgment based on the antenna attitude information and dynamic vibration information.

[0046] In one embodiment of this application, the antenna tilt angle is determined based on antenna attitude information and dynamic vibration information. Specifically, this can be achieved in the following way: If the antenna attitude information is greater than the first threshold, the event type is determined based on the dynamic vibration information; based on the antenna attitude information and the dynamic vibration information, comprehensive evaluation data for the antenna tilt angle is determined; if the comprehensive evaluation data is greater than the second threshold, the tilt angle state of the antenna is determined to be an abnormal tilt angle, and the comprehensive evaluation data, antenna attitude information, tilt angle state of abnormal tilt angle, and event type are determined as the monitoring result; or, if the comprehensive evaluation data is less than or equal to the second threshold, the tilt angle state of the antenna is determined to be a normal tilt angle, and the tilt angle state of normal tilt angle is determined as the monitoring result.

[0047] In this embodiment of the application, the first threshold and the second threshold can be preset, and the first threshold can be denoted as... , The first threshold can be 5 degrees, and the second threshold can be 1.

[0048] In the embodiments of this application, the event type can refer to the vibration event of the spotlight antenna, such as strong wind or impact.

[0049] In the embodiments of this application, the comprehensive evaluation data can be a confidence value, which can be denoted as Confidence.

[0050] In this embodiment of the application, if the tilt angle of the spotlight antenna is greater than the first threshold, the event type corresponding to the spotlight antenna (i.e., whether the vibration event is strong wind or impact, etc.) can be further determined based on the dynamic vibration information.

[0051] In this embodiment of the application, acceleration data generated by vibration is collected to further analyze dynamic vibration events, such as changes in vibration caused by strong winds. Typhoon / Thunderstorm Vibration Changes This can be identified as events such as strong winds or impacts, used to assist in determining the tilt angle monitoring results. Here, g represents gravitational acceleration; for example, 0.8g indicates that the vibration acceleration exceeds 0.8 times the standard gravitational acceleration.

[0052] In this embodiment, the dynamic vibration intensity can be compared with 0.8g or 1.5g to determine the event type corresponding to the spotlight antenna. For example, if the dynamic vibration intensity of the spotlight antenna is greater than 1.5g, it can be considered an impact event.

[0053] It should be noted that this relates to the vibration changes caused by strong winds. Typhoon / Thunderstorm Vibration Changes The reasons for considering both threshold selection criteria include the following: 1. The threshold for strong wind events is set as follows: And it lasts for a certain period of time. The selection criteria and basis are as follows: (1) Conversion relationship between environmental wind force and acceleration: Spotlight antennas are typically mounted on rooftops and fixed in place by brackets; their vibration model can be simplified to that of a cantilever beam. The vibration acceleration (g) is proportional to the square of the wind pressure and wind speed.

[0054] Based on fluid dynamics (CFD) simulations and calibration using wind force and sensor measurements, a vibration acceleration of approximately 0.8g typically corresponds to a wind force of 7 to 8 (wind speed approximately 13.9-20.7 m / s). This wind force level falls into the category of "strong winds," sufficient to cause cumulative fatigue damage to the antenna's fixed structure or to cause significant displacement of already loose antennas. This is a threshold requiring early warning and attention.

[0055] (2) Distinguishing it from normal vibration: The vibration acceleration of the antenna caused by a light breeze (level 4 to 6) is usually between 0.1g and 0.5g, which is considered normal background noise.

[0056] Setting the threshold to 0.8g can effectively filter out normal, harmless vibrations, greatly reduce the false alarm rate of the system, and avoid unnecessary interference to maintenance personnel.

[0057] (3) The importance of "lasting for a certain period of time": A single, momentary peak exceeding 0.8g may be caused by accidental factors (such as a ground vibration caused by a heavy truck passing by briefly) and does not represent a continuous wind impact.

[0058] The requirement of "lasting for a certain period of time" (e.g., the mean and peak values ​​of vibration remaining above the threshold for multiple consecutive sampling periods, or lasting for more than 1 to 2 seconds) is to confirm the persistence of the strong wind condition, thereby distinguishing it from transient disturbances and improving the accuracy of event identification. This ensures that the alarm is issued for wind events with a risk of damage, rather than transient disturbances.

[0059] 2. The impact event threshold is set as follows: Furthermore, it is a sudden spike. The selection criteria and basis are as follows: (1) Characterizing high impact strength: 1.5g is a very high impact acceleration threshold, far exceeding the sustained vibration intensity that strong winds can produce. It typically corresponds to intense, instantaneous mechanical impact events, such as: Human-caused impact: Construction equipment (such as cranes or aerial work platforms) accidentally collided with the antenna support.

[0060] Malicious damage: Striking the antenna with a heavy object.

[0061] Accidental collapse: The instant the antenna's anchor point fails and it begins to tilt.

[0062] Lightning strike (indirect effect): The strong shock wave generated by a nearby lightning strike.

[0063] This high threshold is set to ensure that only major events that are highly likely to cause immediate antenna damage or significant displacement are captured.

[0064] (2) Waveform characteristics of "sudden spikes": A typical characteristic of impact events is that the acceleration waveform exhibits a rapidly rising and rapidly decaying spike pulse with an extremely short rise time (milliseconds).

[0065] The algorithm detects the slope (dv / dt) of the acceleration change. A signal that spikes from the normal value to over 1.5g in a very short time is almost certainly an impact event.

[0066] It should be noted that this judgment based on waveform and rate of change can be clearly distinguished from strong wind events (which are relatively low in intensity, long in duration, and slow in change), thus ensuring the reliability of event classification.

[0067] 3. Consider the overall performance and cost balance: Sensor accuracy: The selected MEMS accelerometer (such as ADXL362) has extremely high accuracy and reliability in this range, and can accurately capture the difference between 0.8g and 1.5g.

[0068] System power consumption: The high threshold allows the processor to remain in a sleep state most of the time, and it is only triggered to perform high-speed sampling and complex judgments when these rare but critical events occur, thus ensuring the passive and low-power design.

[0069] Operational efficiency: Such threshold configuration generates fewer signaling and alarms, but they are of high value. When operation and maintenance personnel receive alarms, they can basically determine that a major event has occurred, and thus take immediate action, improving operational efficiency and accuracy.

[0070] In this embodiment of the application, when making a comprehensive decision based on antenna attitude information and dynamic vibration information, the following comprehensive decision function can be used to calculate the comprehensive evaluation data of antenna tilt angle. The comprehensive decision function is shown in the following formula (3): (3) in, Indicates the threshold for the change in the tilt angle of the spotlight antenna, such as 5 degrees can be used.

[0071] Indicates the vibration intensity threshold of the spotlight antenna, such as It can be 0.8g or 1.5g, where g represents the acceleration due to gravity.

[0072] This represents the normalization factor for the duration of time, such as the continuous sampling time mentioned above.

[0073] , , Represents the weighting coefficients, satisfying .

[0074] In this embodiment of the application, after calculating Confidence, Confidence is compared with a second threshold. If the event occurs, the tilt angle of the spotlight antenna is determined to be abnormal. The final event type (e.g., strong wind / impact / slow deformation), confidence level, and spotlight antenna tilt angle data (i.e.,...) are then used to determine the antenna tilt angle. Abnormal tilt angles are used as monitoring results for spotlight antennas and output.

[0075] exist If the abnormal tilt angle detection result is not reliable, it can be considered as a normal tilt angle, and the output monitoring result is a normal tilt angle.

[0076] It should be noted that the above comprehensive evaluation algorithm employs multi-dimensional fusion: simultaneously considering tilt angle change, vibration intensity, and duration; and features a configurable threshold that supports remote configuration. , With weighting coefficients; low complexity: suitable for operation on low-power microcontroller units (MCUs); strong interpretability: the output of each stage has a clear physical meaning, which is convenient for operation and maintenance diagnosis.

[0077] It should be noted that the above thresholds can be configured remotely via base stations through the network management platform.

[0078] In one embodiment of this application, after determining the antenna tilt angle monitoring result based on antenna attitude information and dynamic vibration information, if the monitoring result is an abnormal tilt angle, the monitoring terminal is restarted to collect static motion data and dynamic motion data, so as to determine the antenna tilt angle monitoring result based on the re-collected static motion data and dynamic motion data.

[0079] In this embodiment of the application, if the antenna tilt angle is determined to be an abnormal tilt angle, in order to further determine the accuracy of the monitoring results, the data acquisition confirmation can be performed again. That is, the monitoring terminal is restarted, static motion data and dynamic motion data are collected again, and then the monitoring results of the spotlight antenna tilt angle are determined based on the re-collected static motion data and dynamic motion data.

[0080] In this application embodiment, the method of determining the monitoring results of the spotlight antenna tilt angle using the re-acquired static motion data and dynamic motion data can be found in the foregoing embodiment, and will not be repeated here.

[0081] It should be noted that if the monitoring results are abnormal, the monitoring terminal can determine whether it is necessary to collect and report acceleration data again based on the requirements of the network management platform.

[0082] It should be noted that the above-mentioned determination of antenna attitude information and dynamic vibration information, and determination of antenna tilt angle based on antenna attitude information and dynamic vibration information, can be achieved by the processing layer of the monitoring terminal, which consists of a low-power MCU.

[0083] It is understood that the antenna tilt monitoring method provided in this application actively collects static and dynamic motion data of the antenna corresponding to the monitoring terminal through a monitoring terminal deployed on the antenna. The static motion data is used to determine the current attitude information of the antenna, and the dynamic motion data is used to determine the dynamic vibration information of the antenna. By combining the static antenna attitude information with the dynamic vibration information of the antenna, the antenna tilt angle is monitored from multiple dimensions. It also supports the use of the monitoring terminal to autonomously collect static and dynamic motion data, thereby improving the reliability of the antenna tilt monitoring results.

[0084] In one embodiment of this application, the monitoring terminal deployed on the spotlight antenna is powered by a power conversion device and / or an energy storage device, so as to determine the monitoring results based on the monitoring terminal.

[0085] In this embodiment of the application, the power conversion device can be a photovoltaic panel.

[0086] In this embodiment of the application, the energy storage device can be a battery.

[0087] In this embodiment of the application, the monitoring terminal includes a power supply layer, which consists of a photovoltaic panel and a backup battery. The photovoltaic panel and / or the backup battery are used to power the monitoring terminal, so that the monitoring terminal can monitor the tilt angle of the spotlight antenna according to the above implementation scheme and determine the monitoring result when the power supply is sufficient.

[0088] It should be noted that, considering factors such as lifespan, reliability, stability, and size, the backup battery is a battery-type supercapacitor, capable of more than 250,000 charge-discharge cycles.

[0089] It should be noted that the photovoltaic panels serve as the main power supply method, providing system power and backup power charging during the day, and activating the backup power supply at night or on cloudy or rainy days when there is no sunlight.

[0090] The power management strategy for the aforementioned monitoring terminal can be as follows: 1. When the light intensity is good and the light angle is suitable, solar photovoltaic panels are used as the main power source for the system's operation and dormancy.

[0091] 2. In rainy weather or when there is severe obstruction, the backup power supply will be activated to power the system during operation and hibernation.

[0092] 3. During the day, data collection and monitoring results are reported when sunlight intensity is highest. The photovoltaic energy allocation is dynamically adjusted based on energy optimization, prioritizing power to the load (i.e., monitoring terminals), with the remainder used to charge the backup power supply. At night, the backup power supply serves as the main power source for the system's sleep mode.

[0093] Based on this, the power management of this application can be manifested as follows: Figure 2 The power supply shown switches between sleep and operating states in the following ways: Figure 3 The power supply mode switching method is shown. Figure 2 As can be seen from the diagram, when the power timer ends, the system enters sleep mode; restarting the timer will allow it to enter working mode. Figure 3 The diagram clearly demonstrates the process of photovoltaic power supply providing power to the system and backup battery power, as well as the backup power supply providing power to the system.

[0094] In one embodiment of this application, after determining the antenna tilt angle monitoring result based on antenna attitude information and dynamic vibration information, if the number of monitoring results includes one or more, multiplexing is used to report one or more monitoring results to the network device, so that the network device can report one or more monitoring results to the monitoring platform for early warning.

[0095] In this embodiment, the monitoring terminal includes a communication layer, which consists of an LTE cat1 / NB standard cellular communication module, integrates an eSIM card, and supports low-power sleep mode.

[0096] In this embodiment of the application, the network device can be a base station.

[0097] In this embodiment of the application, the monitoring platform can be a network management platform.

[0098] In this embodiment, since one or more monitoring terminals may be deployed in an area, these terminals may simultaneously report monitoring results for their respective spotlight antennas to the base station. To address this, time-division multiplexing technology can be used. When a large number of monitoring terminals are deployed, to avoid congestion, multiple terminals use time-division multiplexing technology to report multiple monitoring results to the base station. After receiving one or more monitoring results, the base station then reports these results to the network management platform for early warning.

[0099] In this embodiment of the application, when the monitoring terminal reports services to the base station, it can send UDP packets to the base station through the cellular network cat1, and then send them to the network management platform through the base station.

[0100] In this embodiment of the application, when the monitoring terminal reports the monitoring results to the base station, it can adopt a timed reporting method, that is, data collection and monitoring results reporting are carried out at noon every day.

[0101] Based on the above embodiments, this application also provides a passive spotlight antenna tilt angle real-time monitoring system utilizing photovoltaic-supercapacitor power supply and cellular communication, such as... Figure 4 As shown, the system architecture mainly consists of three parts: monitoring terminal, base station and network management platform.

[0102] The monitoring terminal is deployed on the curved top of the back of the spotlight antenna. It is responsible for collecting and monitoring angle-related data of the spotlight antenna, and using algorithms to realize the monitoring results of the tilt angle of the spotlight antenna. The monitoring results are then reported through cellular communication.

[0103] The base station is responsible for receiving and reporting monitoring results. After receiving the monitoring results reported by the monitoring terminal, it automatically reports the monitoring results to the network management platform.

[0104] The network management platform is responsible for the maintenance and management of all spotlight antennas. When it receives the spotlight antenna monitoring results reported by the base station, it will issue corresponding alarm information.

[0105] The aforementioned monitoring terminal mainly consists of the following five modules: Module 1: Sensing layer, consisting of a three-axis MEMS accelerometer, is responsible for collecting and calculating the angle value of the spotlight antenna tilt and related vibration data.

[0106] Module 2: Power supply layer, consisting of photovoltaic panels and backup batteries.

[0107] Module 3: Processing layer, consisting of a low-power MCU, with a built-in tilt angle calculation algorithm (used for calculation). ) and dynamic vibration analysis algorithms (used for calculation) By analyzing dynamic vibrations, strong winds or collisions can be identified, and by combining the changes in tilt angle, a judgment result can be given as to whether the tilt angle is normal or abnormal.

[0108] Module 4: Communication layer, consisting of LTE cat1 / NB standard cellular communication modules, integrating eSIM card, and supporting low power sleep mode.

[0109] Module 5: Structural layer, waterproof housing, supports IP67 protection, mounted on the curved top of the back of the spotlight antenna.

[0110] Based on the above embodiments, the flowchart for determining and reporting the spotlight antenna tilt angle monitoring results provided in this application embodiment is as follows: Figure 5 As shown, the specific steps include: S1. Upon initial installation of the monitoring terminal, read sensor data and perform baseline calibration.

[0111] S2. The monitoring terminal in the monitoring system enters sleep mode.

[0112] S3. Periodically wake up the monitoring terminal and read sensor data. The sensor data includes static motion data and dynamic motion data.

[0113] S4. Determine the antenna attitude information (i.e., the tilt angle of the spotlight antenna) based on static motion data, and determine the dynamic vibration information based on dynamic motion data.

[0114] S5. If the tilt angle is greater than the first threshold, determine the comprehensive evaluation data by combining the dynamic vibration information, and determine whether the comprehensive evaluation data is greater than the second threshold. If yes, execute S6, S7, and S8; if no, execute S9 and S10.

[0115] S6. The monitoring results containing abnormal tilt angles are reported to the base station via cellular data transmission. The base station then reports the received monitoring results to the network management platform.

[0116] S7. The network management platform receives monitoring results and issues alarms.

[0117] S8. The network management platform determines whether the monitoring terminal needs to re-collect data based on the requirements. If yes, it returns to S3; otherwise, it returns to S2.

[0118] S9. The monitoring results containing the normal tilt angle are reported to the base station via the cellular network, and the base station reports the received monitoring results to the network management platform.

[0119] S10: The network management platform receives the monitoring results and returns them to S2.

[0120] As can be seen from the above embodiments, this application adopts an energy synergy architecture, that is, a dual-mode power supply system is realized through photovoltaic panels and battery-type supercapacitors. The photovoltaic panels collect and convert light energy, while the battery-type supercapacitors serve as backup power. Battery-type supercapacitors have 500 times more charge-discharge cycles than lithium batteries, and also offer a size advantage over conventional supercapacitors, solving the problems of low-temperature failure and a maximum charging cycle of only 500 times for lithium batteries. The dual-mode power supply system converts ambient light into electrical energy to power the system, while simultaneously charging the backup power source according to energy availability, ensuring the system is passive, maintenance-free, and reliable.

[0121] Secondly, a joint judgment based on tilt angle and vibration intensity is adopted. Data collected by the acceleration sensor can simultaneously achieve: static tilt angle measurement and dynamic vibration analysis. While performing tilt angle change judgment and analysis, dynamic vibration analysis is also performed to identify strong winds and impact events, assisting in the intelligent judgment of tilt angle change results, realizing a multi-dimensional judgment mechanism, and ensuring the accuracy of the judgment results.

[0122] Secondly, regarding power management strategy, the system achieves passive functionality through a power management scheme that coordinates ambient light energy collection and backup power. During the day, when there is sunlight, the system utilizes photovoltaic panels to collect ambient light energy, providing power to the system and charging the backup power source. At night or in extreme light-free conditions, the system switches to the backup power source, eliminating reliance on mains power and achieving maintenance-free operation. Compared to traditional solutions, this scheme achieves dynamic switching of system operating modes and dynamic coordination and switching of power supply methods through an effective power management approach. This ensures stable system operation while also achieving high endurance under extreme conditions, truly realizing a passive, mains-free, high-endurance, low-cost, and maintenance-free monitoring system.

[0123] Finally, this lightweight deployment method allows for passive external power supply or wired data transmission. The monitoring terminal simply needs to be installed on the top back of the spotlight antenna, without requiring any modification to the antenna's internal design or structure. Furthermore, no additional receiving equipment is needed for data reporting. This deployment scheme offers advantages such as lightweight design, ease of deployment, and simple, easily implementable modifications.

[0124] In summary, the embodiments of this application, compared with related technologies, have the following technical advantages: This solution achieves a power supply architecture independent of mains power by utilizing a collaborative energy architecture of photovoltaic panels and backup supercapacitors. A multi-dimensional decision-making mechanism, employing sensor data collection, dynamic vibration analysis, and tilt angle change assessment, ensures intelligent and accurate monitoring data analysis. It employs an intelligent power management strategy that dynamically switches power supply modes based on sunlight intensity, combined with timed wake-up (once daily) to reduce energy consumption. Furthermore, a sleep / timed wake-up and time-sharing multiplexing proactive reporting mechanism reduces communication time and network congestion. Through three-dimensional innovation—energy autonomy, intelligent sensing, and lightweight communication—this solution completely resolves the three major pain points of traditional solutions: limited power supply, delayed response, and expensive maintenance. It provides a passive, maintenance-free, low-cost, highly reliable, and long-lasting solution for monitoring spotlight antennas.

[0125] Based on this, the following specific examples are provided in the embodiments of this application for explanation: Implementation Method 1: 1. cat1 module Taking the Quectel EG800Z module as an example, the power supply voltage is 3.3V-4.3V, typically 3.8V. The monitoring terminal is directly attached to the upper part of the curved shell on the back of the spotlight antenna, with the side with the photovoltaic panel facing upwards. Therefore, a transmission power of 0dBm is sufficient to meet communication requirements. The system power consumption is 71.0227mA when transmitting at 0dBm and 4uA when in deep sleep.

[0126] Based on the estimated business data volume and computational load, the daily data volume does not exceed 100 bytes. Therefore, the MCU built into the cat1 module can be used as the system processor, without the need to add an additional processor.

[0127] 2. Photovoltaic panels Factors affecting light intensity: geographical location (province and city), time and weather (seasons + sunny, cloudy, rainy, and snowy), and deployment location (installation angle + obstructions).

[0128] Photovoltaic energy calculation logic: light intensity input → photovoltaic panel conversion efficiency → actual output power → matching degree with equipment power consumption.

[0129] Key formula: Output power = Illumination intensity × Effective area of ​​photovoltaic panel × Conversion efficiency × cos(incident angle) × Weather attenuation coefficient.

[0130] The application scenario is outdoor, using an 80mm*55mm solar panel that can output a maximum of 6V@100mA (6V voltage, 100mA current) for estimation. The monitoring location is taken as area A as an example: On a sunny summer day at noon: when facing direct sunlight, the output power is 0.6W; when facing the side at an incident angle of 30°, the output power is 0.48W.

[0131] On a sunny winter day at noon: when directly facing the sun, the output power is 0.3W; when facing the sun from the side at an incident angle of 30°, the output power is 0.24W.

[0132] Cloudy / foggy days: Output power drops to approximately 0.03W-0.06W.

[0133] Rainy weather: Output power <0.01W.

[0134] 3. Backup power supply Considering factors such as lifespan, cost, and size, a battery-type supercapacitor was chosen as the backup power source, with a charge-discharge cycle life of 250,000 times. The capacity was selected accordingly. .

[0135] 4. Triaxial MEMS accelerometer Taking the commercially available ADXL362 accelerometer as an example, its operating voltage is 1.6V-3.5V, typically 2.0V. Data acquisition power consumption is 13uA, and sleep power consumption is 0.01uA.

[0136] Energy consumption estimation: Cat1 energy consumption estimation, based on a single service cycle of 0.5 seconds: Total daily energy consumption is: Where 0.5 / 3600 is the calculation method for converting to hours.

[0137] Accelerometer power consumption estimation, based on 1 second per operation: Total daily energy consumption is: .

[0138] The remaining PMIC, SIM card, etc., are estimated based on an average daily current of 3uA: Total daily energy consumption is: .

[0139] In summary, the total daily energy consumption of this monitoring terminal system is: .

[0140] Energy supply estimate: Main energy source: photovoltaic panels.

[0141] by Taking a polycrystalline silicon photovoltaic panel of a certain size, with the monitoring location in region A as an example, assuming an output voltage of 3.8V and an average of 4 hours of effective sunlight per day, estimate the energy storage capacity of the photovoltaic panel: On a sunny summer day at noon: When directly facing the sun, the output power is 600mW and the energy storage capacity is 631.5789mAh; when the incident angle is 30° from the side, the output power is 480mW and the energy storage capacity is 505.2631mAh.

[0142] On a sunny winter day at noon: When directly facing the sun, the output power is 300mW and the energy storage capacity is 315.7895mAh; when the incident angle is 30° to the side, the output power is 240mW and the energy storage capacity is 252.6316mAh.

[0143] Cloudy / foggy days: Output power drops to approximately 30mW~60mW, while maintaining stable energy storage of 31.5789mAh~63.1579mWah.

[0144] Rainy weather: Output power <10mW, can stably store approximately 10.5263mAh of energy.

[0145] Conclusion: Even in rainy weather, the photovoltaic panels can support the system to operate for approximately 59 days.

[0146] Backup power supply: backup power source.

[0147] by Taking a battery-type supercapacitor as an example, the formula for calculating the charge is as follows (4): (4) Where Q represents the amount of charge (in coulombs, C), and C represents the capacitance (in F). Indicates the operating voltage range (V, the difference between the rated voltage and the discharge termination voltage).

[0148] The relationship between charge and milliampere-hours is 1 coulomb = 3.6 milliampere-hours.

[0149] Considering self-discharge losses, the usable voltage is reduced from the rated voltage of 3.8V to 3V, and the self-discharge termination voltage is 2.5V. The following estimations are made: .

[0150] Conclusion: Even with continuous rain during the plum rain season, the backup power supply can support the system for approximately 39 days. Furthermore, by reducing the reporting frequency, the system can meet the requirements for use under extreme weather conditions.

[0151] 5. Implementation steps of intelligent judgment The specific implementation steps for analyzing tilt angle changes and dynamic vibrations based on the collected acceleration sensor data, and identifying strong winds and impact events accordingly, are as follows: First, data collection and preprocessing are performed.

[0152] The system wakes up at regular intervals (e.g., at noon every day) and collects raw data through a three-axis MEMS accelerometer. The collected data includes: three-dimensional static acceleration data (for tilt angle calculation) and dynamic vibration acceleration data (for event recognition).

[0153] The original data is filtered to remove outliers, and the maximum and minimum values ​​are removed by sorting. The average value is then calculated.

[0154] Then, the tilt angle is calculated and its variation is analyzed.

[0155] The calculation is obtained by using the calculation methods of formulas (1) and (2) in the aforementioned embodiments. The threshold for tilt angle change can be set to 5°, along with the dynamic vibration intensity value and The vibration intensity threshold can be 0.8g or 1.5g; in formula (3) of the above embodiment, the weighting coefficient is... , , The final Confidence value was calculated by taking values ​​of 0.4, 0.3, and 0.3 respectively.

[0156] If in the end If the tilt angle is abnormal, the event type (strong wind / impact / slow deformation) and confidence level will be output.

[0157] Among them, judgment Does the vibration intensity exceed the event threshold? Strong wind event: Vibration intensity And lasting for a certain period of time; impact event: Vibration intensity It is a sudden spike. Record the type, intensity, and timestamp of the vibration event.

[0158] Then, the joint judgment monitoring results are generated: like Tilt angle change exceeds the limit (i.e., greater than) If the tilt angle is accompanied by strong winds or impact events, it is confirmed as an abnormal tilt angle, and the event type is marked (such as "strong winds caused tilting" or "impact caused shifting").

[0159] like If the tilt angle changes beyond the limit but there is no vibration event, it is judged as slow deformation or natural loosening.

[0160] If the vibration event is significant but the tilt angle change does not exceed the limit, the event is recorded but the tilt angle alarm is not triggered (only log reporting is performed).

[0161] The final output includes the monitoring results of tilt angle status (normal / abnormal), change angle, event type, and confidence level.

[0162] Finally, the monitoring results and adaptive adjustments are reported.

[0163] The judgment result is indirectly reported to the network management platform via the cellular module. Simultaneously, the network management platform supports remote configuration of the sampling frequency and vibration... Dynamic threshold and tilt threshold, and adaptive adjustment of sampling strategy based on energy state and event severity (e.g., increasing sampling frequency after an event occurs).

[0164] Implementation Method 2: Replace the communication module in Implementation Method 1 with an NB module, while keeping the photovoltaic panel, backup power supply, and triaxial MEMS accelerometer the same as in Implementation Method 1.

[0165] Taking the Quectel BC260E module as an example, the supply voltage is 2.2V~4.5V, typically 3.3V. The system power consumption is 13.6562mA at 0dBm transmit and 1.5uA in deep sleep.

[0166] NB power consumption is estimated based on a single service session lasting 0.5 seconds: Total daily energy consumption is: .

[0167] The total daily energy consumption of the monitoring terminal system is: .

[0168] Using this solution, even during consecutive rainy days, the photovoltaic panels can support the system for approximately 96 days; the backup power supply can support the system for approximately 63 days. This meets the requirements for use under extreme weather conditions.

[0169] Currently, the cost of cat1 modules and NB modules is generally a few yuan. The total cost of the two solutions is basically the same, about 30 yuan. Therefore, both the first and second implementation methods can meet the requirements of low cost, passive, maintenance-free, high reliability, and service life of 5-7 years.

[0170] Among them, cat1 offers better coverage than NB, while NB can consume less power. The choice between the two options depends on the network coverage conditions in the residential area.

[0171] The expected returns based on the above implementation scheme are analyzed as follows: Estimated number of spotlight antennas damaged annually: Wind damage: approximately 60% (up to 80% in coastal / windy areas); Human-caused damage: approximately 30% (construction collisions / theft / intentional damage); Natural aging: approximately 10% (equipment ≥8 years old).

[0172] Analysis of labor costs per repair: The cost of a single repair includes high-speed work vehicle rental, worker wages, traffic dispatch and management, etc., which is approximately RMB 1,600-2,000 per repair.

[0173] Traditional manual inspection cost: Assuming an inventory of 200W spotlight antennas, with a regular inspection frequency of 4 times / year / antenna, the cost of a single inspection is 50 yuan, and the cost of anomaly investigation is 200,000 times / year * 180 yuan / time (based on a 10% damage risk), the total annual monitoring cost is approximately 436 million yuan.

[0174] The savings after deploying this solution: After the deployment of this solution, it is expected to reduce maintenance manpower by 70% and manual monitoring by 90%, with estimated savings of 44 million yuan in manual monitoring costs alone.

[0175] Based on the above embodiments, another embodiment of this application provides a monitoring terminal 1, such as... Figure 6 As shown, the monitoring terminal is deployed on the antenna, and the monitoring terminal 1 includes: The sensing layer module 10 is used to collect static and dynamic motion data of the antenna.

[0176] The processing layer module 11 is used to determine the antenna attitude information based on static motion data and to determine the dynamic vibration information of the antenna based on dynamic motion data.

[0177] The processing layer module 11 is also used to determine the monitoring results of the antenna tilt angle based on the antenna attitude information and dynamic vibration information.

[0178] In one embodiment, the processing layer module 11 is further configured to: determine the event type based on dynamic vibration information when the antenna attitude information is greater than a first threshold; determine comprehensive evaluation data for the antenna tilt angle based on the antenna attitude information and dynamic vibration information; determine the tilt angle state of the antenna as an abnormal tilt angle when the comprehensive evaluation data is greater than a second threshold, and determine the comprehensive evaluation data, antenna attitude information, tilt angle state as an abnormal tilt angle, and event type as the monitoring result; or, determine the tilt angle state of the antenna as a normal tilt angle when the comprehensive evaluation data is less than or equal to the second threshold, and determine the tilt angle state as a normal tilt angle as the monitoring result.

[0179] In one embodiment, the processing layer module 11 is further configured to acquire historical static motion data of the antenna; and determine the antenna attitude information based on the historical static motion data and the static motion data.

[0180] In one embodiment, the sensing layer module 10 is further configured to restart the monitoring terminal to collect static motion data and dynamic motion data when the monitoring result is an abnormal tilt angle, so as to determine the monitoring result of the antenna tilt angle based on the re-collected static motion data and dynamic motion data.

[0181] In one embodiment, the sensing layer module 10 is further configured to activate the monitoring terminal at a preset time, and, upon completion of the activation of the monitoring terminal, collect static motion data and dynamic motion data of the antenna through the monitoring terminal.

[0182] In one embodiment, the monitoring terminal 1 may further include a power supply layer module.

[0183] The power supply layer module is used to power the monitoring terminal using power conversion equipment and / or energy storage equipment, so as to determine the monitoring results based on the monitoring terminal.

[0184] In one embodiment, the monitoring terminal 1 may further include a communication layer module.

[0185] The communication layer module is used to report one or more monitoring results to the network device in a multiplexing manner when the number of monitoring results includes one or more, so that the network device can report one or more monitoring results to the monitoring platform for early warning.

[0186] This application provides a monitoring terminal that collects static and dynamic motion data of an antenna; determines the antenna's attitude information based on the static motion data and determines the antenna's dynamic vibration information based on the dynamic motion data; and determines the antenna tilt angle monitoring result based on the antenna attitude information and dynamic vibration information. Therefore, the monitoring terminal proposed in this application actively collects static and dynamic motion data of the antenna corresponding to the monitoring terminal by deploying the monitoring terminal on the antenna. It uses the static motion data to determine the antenna's current attitude information and uses the dynamic motion data to determine the antenna's dynamic vibration information. By combining the static antenna attitude information with the antenna's dynamic vibration information, it not only monitors the antenna tilt angle from multiple dimensions but also supports the autonomous collection of static and dynamic motion data by the monitoring terminal, thus improving the reliability of the antenna tilt angle monitoring results.

[0187] Figure 7 This is a schematic diagram of the composition structure of a monitoring terminal 1 provided in an embodiment of this application. In practical applications, based on the same disclosed concept of the above embodiments, such as... Figure 7 As shown, the monitoring terminal 1 in this embodiment includes a processor 12, a memory 13, and a communication bus 14.

[0188] In specific embodiments, the aforementioned sensing layer module 10, processing layer module 11, power supply layer module, and communication layer module can be implemented by a processor 12 located on the monitoring terminal 1. The processor 12 can be at least one of the following: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), CPU, controller, microcontroller, and microprocessor. It is understood that for different devices, the electronic device used to implement the above-mentioned processor functions can also be other types; this application does not impose specific limitations on these devices.

[0189] In this embodiment, the communication bus 14 is used to realize the connection communication between the processor 12 and the memory 13; when the processor 12 executes the running program stored in the memory 13, it implements the following antenna tilt angle monitoring method: Collect static and dynamic motion data of the antenna; determine the antenna's attitude information based on the static motion data and the antenna's dynamic vibration information based on the dynamic motion data; and determine the antenna tilt angle monitoring results based on the antenna attitude information and dynamic vibration information.

[0190] In one embodiment, the processor 12 is further configured to: determine the event type based on dynamic vibration information when the antenna attitude information is greater than a first threshold; determine comprehensive evaluation data for the antenna tilt angle based on the antenna attitude information and dynamic vibration information; determine the tilt angle state of the antenna as an abnormal tilt angle when the comprehensive evaluation data is greater than a second threshold, and determine the comprehensive evaluation data, antenna attitude information, tilt angle state as an abnormal tilt angle, and event type as the monitoring result; or, determine the tilt angle state of the antenna as a normal tilt angle when the comprehensive evaluation data is less than or equal to the second threshold, and determine the tilt angle state as a normal tilt angle as the monitoring result.

[0191] In one embodiment, the processor 12 is further configured to acquire historical static motion data of the antenna; and determine the antenna attitude information based on the historical static motion data and the static motion data.

[0192] In one embodiment, the processor 12 is further configured to restart the monitoring terminal to collect static motion data and dynamic motion data when the monitoring result is an abnormal tilt angle, so as to determine the monitoring result of the antenna tilt angle based on the re-collected static motion data and dynamic motion data.

[0193] In one embodiment, the processor 12 is further configured to start the monitoring terminal at a preset time, and, upon completion of the start-up of the monitoring terminal, collect static motion data and dynamic motion data of the antenna through the monitoring terminal.

[0194] In one embodiment, the processor 12 is further configured to power the monitoring terminal using power conversion equipment and / or energy storage equipment, so as to determine the monitoring results based on the monitoring terminal.

[0195] In one embodiment, the processor 12 is further configured to, when the number of monitoring results includes one or more, use multiplexing to report one or more monitoring results to the network device, so that the network device can report one or more monitoring results to the monitoring platform for early warning.

[0196] Based on the above embodiments, this application provides a storage medium storing a computer program thereon. The computer-readable storage medium stores one or more programs, which can be executed by one or more processors and applied in a monitoring terminal. The computer program implements the antenna tilt angle monitoring method described above.

[0197] Based on the above embodiments, this application provides a computer program product, including a computer program that can be executed by one or more processors and applied in a monitoring terminal. The computer program implements the antenna tilt angle monitoring method described above.

[0198] It should be noted that, in the embodiments of this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0199] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / random access memory (RAM), magnetic disk, optical disk), and includes several instructions to cause an image display device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the embodiments of this application.

[0200] The above description is merely a specific implementation of the embodiments of this application, but the protection scope of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the protection scope of this application.

Claims

1. A method for monitoring antenna tilt angle, characterized in that, The method is applied to a monitoring terminal, which is deployed on the antenna, and includes: Collect static and dynamic motion data of the antenna; The antenna attitude information of the antenna is determined based on the static motion data, and the dynamic vibration information of the antenna is determined based on the dynamic motion data; Based on the antenna attitude information and the dynamic vibration information, the monitoring result of the antenna tilt angle is determined.

2. The method according to claim 1, characterized in that, The monitoring results for determining the antenna tilt angle based on the antenna attitude information and the dynamic vibration information include: If the antenna attitude information is greater than a first threshold, the event type is determined based on the dynamic vibration information; Based on the antenna attitude information and the dynamic vibration information, comprehensive evaluation data for the antenna tilt angle is determined; If the comprehensive evaluation data is greater than the second threshold, the tilt state of the antenna is determined to be an abnormal tilt, and the comprehensive evaluation data, the antenna attitude information, the abnormal tilt state, and the event type are determined as the monitoring result. Alternatively, if the comprehensive evaluation data is less than or equal to the second threshold, the tilt state of the antenna is determined to be a normal tilt state, and the normal tilt state is determined as the monitoring result.

3. The method according to claim 1, characterized in that, Determining the antenna attitude information based on the static motion data includes: Acquire the historical static motion data of the antenna; Based on the historical static motion data and the static motion data, the antenna attitude information of the antenna is determined.

4. The method according to claim 1, characterized in that, After determining the antenna tilt angle monitoring result based on the antenna attitude information and the dynamic vibration information, the method further includes: If the monitoring result indicates an abnormal tilt angle, the monitoring terminal is restarted to collect static and dynamic motion data, and the monitoring result of the antenna tilt angle is determined based on the re-collected static and dynamic motion data.

5. The method according to claim 1, characterized in that, The acquisition of static and dynamic motion data of the antenna includes: The monitoring terminal is activated at a preset time, and upon completion of activation, the static and dynamic motion data of the antenna are collected through the monitoring terminal.

6. The method according to claim 1, characterized in that, The method further includes: The monitoring terminal is powered by an energy conversion device and / or an energy storage device, so as to determine the monitoring results based on the monitoring terminal.

7. The method according to claim 1, characterized in that, After determining the antenna tilt angle monitoring result based on the antenna attitude information and the dynamic vibration information, the method further includes: When the number of monitoring results includes one or more, multiplexing is used to report one or more monitoring results to the network device, so that the network device can report the one or more monitoring results to the monitoring platform for early warning.

8. A monitoring terminal, characterized in that, The monitoring terminal is deployed on an antenna, and the monitoring terminal includes: The sensing layer module is used to collect static and dynamic motion data of the antenna; The processing layer module is used to determine the antenna attitude information of the antenna based on the static motion data, and to determine the dynamic vibration information of the antenna based on the dynamic motion data; The processing layer module is also used to determine the monitoring result of the antenna tilt angle based on the antenna attitude information and the dynamic vibration information.

9. A monitoring terminal, characterized in that, The monitoring terminal includes a processor and a memory; when the processor executes the running program stored in the memory, it implements the method as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, The computer program, when executed by a processor, implements the method as described in any one of claims 1 to 7.

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