Antenna attitude monitoring and electric adjusting method and system

Abstract

The invention relates to an antenna attitude monitoring and electric adjusting method and system, and belongs to the technical field of antenna communication. Comprising the steps of obtaining attitude data of a to-be-monitored antenna; calculating the attitude angle of the antenna in real time according to the attitude data; judging whether the attitude angle exceeds a self-adaptive threshold value or not; when the attitude angle does not exceed the self-adaptive threshold value, a driving motor of the antenna is closed, and new attitude data of the antenna is stored; when the attitude angle exceeds a self-adaptive threshold value, sending an attitude adjustment instruction; the driving motor receives the attitude adjustment instruction, performs attitude adjustment on the antenna, and recalculates and judges the attitude angle until the attitude angle does not exceed the self-adaptive threshold value; calculating the attitude of the antenna according to the new attitude data; and performing antenna monitoring according to the attitude. The azimuth angle and the mechanical downward inclination angle of the antenna can be monitored and automatically adjusted in real time, the antenna attitude adjustment efficiency is remarkably improved, and meanwhile the labor cost is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of antenna communication technology, and in particular to an antenna attitude monitoring and electric adjustment method and system. Background Art

[0002] With the rapid development of mobile communication technology, base station antennas are key components of wireless communication networks, and their performance and reliability directly affect the communication quality. Under harsh environmental conditions, such as strong winds, rain, snow and other natural factors, the performance of base station antennas may be seriously affected. Especially in areas with harsh environments, long-term wind vibration may cause the azimuth and mechanical downtilt angle of the base station antenna to shift, thereby affecting the signal coverage and communication quality.

[0003] At present, due to the lack of effective real-time monitoring methods, changes in antenna azimuth and mechanical downtilt angles are often not discovered and adjusted in a timely manner. In addition, the traditional manual tower adjustment method has many disadvantages. First, the labor cost is high, especially when frequent adjustments are required to adapt to network optimization, the cost increases significantly. Second, manual operation is inefficient and there are certain safety risks. These factors limit the continuous optimization of base station antenna performance and the overall reliability of the communication network. Summary of the invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the inability of the prior art to detect and adjust changes in the antenna azimuth angle and the mechanical downtilt angle in real time, as well as the low efficiency and high cost of adjusting the antenna attitude.

[0005] In a first aspect, in order to solve the above technical problems, the present invention provides an antenna attitude monitoring and electric adjustment method, comprising:

[0006] S1. Obtaining the attitude data of the antenna to be monitored;

[0007] S2. Calculate the attitude angle of the antenna in real time according to the attitude data; determine whether the attitude angle exceeds an adaptive threshold; wherein the method for obtaining the adaptive threshold is: obtain a historical attitude data set, divide a training set from the historical attitude data set, use the training set to train a learning model, and obtain a training model; establish a feedback mechanism, feed back the prediction result of the training model and the deviation of the attitude angle to the training model, and dynamically adjust the adaptive threshold;

[0008] S3, when the attitude angle does not exceed the adaptive threshold, the drive motor of the antenna is turned off and the new attitude data of the antenna is saved; when the attitude angle exceeds the adaptive threshold, a posture adjustment instruction is sent; the drive motor receives the posture adjustment instruction, adjusts the attitude of the antenna, and returns to S2 until the attitude angle does not exceed the adaptive threshold;

[0009] S4. Calculate the posture of the antenna according to the new posture data; and monitor the antenna according to the posture.

[0010] In one embodiment of the present invention, the attitude data includes acceleration data, magnetic data and gyroscope data; the attitude angle is calculated by: taking the cross product of the gravity vector in the acceleration data and the geomagnetic vector in the magnetic data to obtain a cross product error; using the cross product error to correct the gyroscope data to obtain correction data; updating the quaternion according to the correction data to obtain a new quaternion; converting the new quaternion into Euler angles; and calculating the attitude angle based on the Euler angles.

[0011] In one embodiment of the present invention, calculating the attitude of the antenna includes calculating the attitude angle, and the calculation formula of the attitude angle is:

[0012] q est,t =α1q ω,t +α2q ▽,t ;

[0013] Among them, q est,t is the attitude angle, q ω,t is the attitude calculated by the gyroscope, q ▽,t is the attitude calculated from acceleration data and magnetic data, and α1 and α2 are weighting coefficients.

[0014] In one embodiment of the present invention, the posture calculated by the gyroscope is calculated by the following formula:

[0015]

[0016] Among them, q ω,t is the attitude calculated by the gyroscope, is the estimated value of the average change rate at time t-1, Δt is the sampling interval, ω t-1 is the angular velocity at time t-1, ω t is the angular velocity, is the Kronecker product.

[0017] In one embodiment of the present invention, the driving motor of the antenna receives the posture adjustment instruction, and the posture adjustment process of the antenna includes exception handling.

[0018] In one embodiment of the present invention, the learning model is a support vector machine, a random forest, or a neural network.

[0019] In a second aspect, in order to solve the above technical problems, the present invention provides an antenna attitude monitoring and electric adjustment system, comprising:

[0020] An attitude data acquisition module is used to acquire attitude data of the antenna to be monitored;

[0021] A control and execution module, used for calculating the attitude angle of the antenna in real time according to the attitude data; judging whether the attitude angle exceeds an adaptive threshold; when the attitude angle does not exceed the adaptive threshold, turning off the drive motor of the antenna and saving the new attitude data of the antenna; when the attitude angle exceeds the adaptive threshold, sending an attitude adjustment instruction; the drive motor receives the attitude adjustment instruction, performs attitude adjustment on the antenna, and calculates the attitude angle in real time, and then re-judgments until the attitude angle does not exceed the adaptive threshold;

[0022] A monitoring module, used for calculating the posture of the antenna according to the new posture data; and performing antenna monitoring according to the posture;

[0023] Among them, the control and execution module includes a threshold calculation submodule, which is used to obtain a historical posture data set, divide a training set from the historical posture data set, use the training set to train a learning model, and obtain a training model; establish a feedback mechanism, feed back the prediction results of the training model and the deviation of the posture angle to the training model, and dynamically adjust the adaptive threshold.

[0024] In one embodiment of the present invention, the control and execution module also includes a first clamp sub-module, a second clamp sub-module and an antenna engineering parameter sub-module, and the first clamp sub-module and the second clamp sub-module are both powered by the antenna interface standard group circuit embedded in the antenna engineering parameter sub-module.

[0025] In one embodiment of the present invention, the first clamp submodule includes a mechanical downtilt angle dial; the second clamp submodule includes an antenna azimuth angle dial.

[0026] In a third aspect, in order to solve the above-mentioned technical problem, the present invention provides an antenna, including the above-mentioned antenna attitude monitoring and electric adjustment system.

[0027] The above technical solution of the present invention has the following beneficial effects compared with the prior art:

[0028] (1) The antenna attitude monitoring and electric adjustment method and system described in the present invention calculates the attitude angle of the antenna in real time and compares it with the adaptive threshold to ensure that the antenna always maintains the optimal working attitude. In the process of obtaining the adaptive threshold, the present invention introduces a feedback mechanism, which feeds back the deviation between the predicted result and the actual attitude angle to the training model to achieve dynamic adjustment of the adaptive threshold. This intelligent adjustment mechanism enables the present invention to flexibly adapt to various environmental changes and conditions, thereby significantly enhancing the robustness of the antenna device. The antenna drive motor can automatically adjust the antenna's attitude according to the attitude adjustment instruction, so that the antenna can quickly respond to different needs, improving the adaptability and flexibility of the antenna. In addition, automated attitude adjustment reduces the necessity of manual intervention, reduces operating costs and the risk of human error, and further improves the stability and safety of antenna attitude adjustment.

[0029] (2) The present invention can quickly identify and optimize the azimuth and mechanical downtilt angle of the antenna through continuous real-time attitude monitoring and dynamic adjustment. This active management strategy ensures that the antenna is always in the optimal working state, thereby significantly improving the efficiency and accuracy of antenna attitude adjustment and optimizing the performance of the communication network. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below according to specific embodiments of the present invention in conjunction with the accompanying drawings, wherein

[0031] Figure 1 This is a flow chart of an antenna attitude monitoring and electric adjustment method in a preferred embodiment of the present invention;

[0032] Figure 2 It is an assembly diagram of an antenna attitude monitoring and electric adjustment system in a preferred embodiment of the present invention;

[0033] Figure 3 A schematic diagram of a first hoop module in a preferred embodiment of the present invention;

[0034] Figure 4 It is a schematic diagram of the second hoop module in a preferred embodiment of the present invention.

[0035] Explanation of the reference numerals in the specification: 1. Antenna engineering parameter submodule; 2. Base station antenna; 3. Electric push rod; 4. First hoop module; 5. Second hoop module; 6. Holding pole; 7. Mechanical downtilt angle dial; 8. Cantilever bracket; 9. Antenna azimuth angle dial. DETAILED DESCRIPTION

[0036] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0037] Embodiment 1

[0038] Reference Figure 1 As shown, an embodiment of the present invention provides an antenna attitude monitoring and electric adjustment method, including but not limited to the following steps:

[0039] S1. Obtaining the attitude data of the antenna to be monitored;

[0040] S2. Calculate the attitude angle of the antenna in real time according to the attitude data; determine whether the attitude angle exceeds the adaptive threshold; wherein the adaptive threshold is obtained by: obtaining a historical attitude data set, dividing a training set from the historical attitude data set, using the training set to train a learning model, and obtaining a training model; establishing a feedback mechanism, feeding back the prediction result of the training model and the deviation of the attitude angle to the training model, and dynamically adjusting the adaptive threshold;

[0041] S3, when the attitude angle does not exceed the adaptive threshold, the driving motor of the antenna is turned off and the new attitude data of the antenna is saved; when the attitude angle exceeds the adaptive threshold, an attitude adjustment instruction is sent; the driving motor receives the attitude adjustment instruction, adjusts the attitude of the antenna, and returns to S2 until the attitude angle does not exceed the adaptive threshold;

[0042] S4. Calculate the antenna's attitude based on the new attitude data; and monitor the antenna based on the attitude.

[0043] The embodiment of the present invention provides an antenna attitude monitoring and electric adjustment method, which uses real-time calculation of the antenna attitude angle and compares it with an adaptive threshold to ensure that the antenna maintains the optimal attitude. A feedback mechanism is established in obtaining the adaptive threshold, and the deviation between the predicted result and the actual attitude angle is fed back to the training model, and the adaptive threshold is dynamically adjusted, so that the method can adapt to different environmental changes and conditions and improve overall robustness. The antenna's drive motor can automatically adjust the antenna attitude according to the attitude adjustment instruction, so that the antenna can quickly respond to different needs, improving the antenna's adaptability and flexibility. In addition, automated attitude adjustment reduces the need for manual intervention, reduces operating costs and the possibility of human error, thereby improving the stability and safety of antenna attitude adjustment.

[0044] Specifically, in step S1, the attitude data includes acceleration data, magnetic data and gyroscope data. These data are used together to calculate the attitude angle of the antenna. The specific calculation method is:

[0045] First, the gravity vector is extracted from the acceleration data, and the geomagnetic vector is extracted from the magnetic data. The two vectors are cross-producted to obtain the cross-product error between them. This step can reveal small deviations between the gravity vector and the geomagnetic vector.

[0046] Secondly, the calculated cross product error is used to correct the gyroscope data to obtain the corrected data. The gyroscope data reflects the angular velocity of the device, but there may be drift or deviation. The accuracy can be improved by cross product error correction.

[0047] Next, the quaternion is updated based on the correction data to obtain a new quaternion. This is a rotation representation method that avoids the gimbal lock problem and is computationally efficient. Through the update, a new quaternion can be obtained, which more accurately describes the attitude of the antenna device.

[0048] Finally, the new quaternion is converted into Euler angles, and the attitude angle of the antenna is calculated based on the Euler angles. Among them, the new quaternion is converted into Euler angles, which is a more intuitive angle representation method, including roll angle, pitch angle and yaw angle.

[0049] Specifically, the antenna attitude angle is a set of detailed parameters used to accurately describe the attitude of the antenna, including azimuth and downtilt angles. Antenna attitude refers to the direction and position of the antenna in space relative to a reference coordinate system (such as due north or horizontal plane). The concept of antenna attitude is relative and depends on the knowledge of the precise direction and position of the antenna relative to the reference coordinate system. In practical applications, the attitude of the antenna can be calculated more accurately by fusing data collected by accelerometers, magnetometers and gyroscopes. In the example of the present invention, the attitude of the antenna includes the calculation of the antenna attitude angle, and the specific calculation formula of the attitude angle is:

[0050] q est,t =α1q ω,t +α2q ▽,t

[0051] Among them, q est,t is the attitude angle, q ω,t is the attitude calculated by the gyroscope, q ▽,t is the attitude calculated from acceleration data and magnetic data, and α1 and α2 are weighting coefficients.

[0052] The determination of the weighting coefficient is based on the proportion of each error term in the overall error. Specifically, if a certain error term accounts for a small proportion of the overall error, the weighting coefficient given to the error term in the calculation will be increased accordingly to ensure that it is properly valued in the final evaluation. Such a weighting method helps to balance the contribution of different error sources to the overall error, making the error analysis more comprehensive and accurate. In this embodiment, the sampling time interval is Δt, and the unit time error of the gyroscope is β. Among them, the unit time error β is usually called drift rate or deviation stability, which is a key performance parameter that describes the measurement error of the gyroscope per unit time. This value is usually very small, indicating that the gyroscope has high precision. The specific unit time error value can be obtained by consulting the technical manual or data sheet of the gyroscope, which will provide detailed information about the performance of the gyroscope, including its stability, accuracy and error characteristics. Therefore, in this embodiment, the error of the gyroscope is βΔt. For the attitude calculated by acceleration data and magnetic data, the error is βΔt+μ t , where μ t is the selected step size. The calculation formula of weighted coefficient α1 is:

[0053]

[0054] The calculation formula of weighted coefficient α2 is:

[0055]

[0056] Furthermore, for the attitude q calculated by the gyroscope ω,t , and its calculation formula is:

[0057]

[0058] in, is the estimated value of the average change rate at time t-1, Δt is the sampling interval, ω t-1 is the angular velocity at time t-1, ω t is the angular velocity, is the Kronecker product.

[0059] Furthermore, the attitude calculated based on the acceleration data and magnetic data The calculation formula is:

[0060]

[0061] in, is the best estimate, and are two vectors, is the correction amount, k is the number of iterations, and n is the total number of iterations. The attitude is finally estimated by fusing acceleration data and magnetic data through the gradient descent method, which is equivalent to the best estimate

[0062] Specifically, during the antenna attitude adjustment process, it is crucial to continuously monitor the status of the drive motor and antenna. The monitored parameters include but are not limited to current, voltage, speed, position and environmental conditions, which are particularly critical for evaluating the health and performance of the system. Through adaptive thresholds, the system can intelligently identify any abnormal conditions that deviate from normal operating parameters, such as motor overload, speed abnormality or position deviation. In addition, exception handling is also included in the entire adjustment process. The integration of exception handling is a key link to ensure the stability and reliability of antenna equipment. For exception handling, the specific steps are:

[0063] Step 1: After detecting an abnormal antenna posture, the fault diagnosis program is automatically triggered immediately. The purpose of this program is to accurately identify the cause of the abnormality and evaluate its impact on the overall performance.

[0064] Step 2: After confirming the abnormality, a series of protection measures will be immediately implemented, including but not limited to cutting off the power supply, stopping the motor operation, etc., to prevent the abnormal situation from causing further damage to the antenna equipment.

[0065] Step 3: Activate the preset alarm mechanism, automatically send notifications to maintenance personnel through sound and light alarms, or display alarm information on the interface to ensure that relevant personnel can be informed and respond to abnormal situations in a timely manner.

[0066] Step 4: Record the relevant information of the fault in detail, including the time of occurrence, fault type, duration, and measures taken. These records will help with subsequent fault analysis and maintenance.

[0067] Step 5: Depending on the specific nature of the fault, maintenance personnel can manually intervene or automatically execute recovery procedures to restore the status to a safe and stable state.

[0068] Step 6. After troubleshooting, you may need to restart to resume normal operation. After restarting, enter enhanced monitoring mode, closely observe the operating status, ensure that the fault does not occur again, and verify stability.

[0069] Through continuous real-time attitude monitoring, dynamic adjustment and exception handling, the azimuth and mechanical downtilt of the antenna can be quickly identified and optimized. This proactive management strategy ensures that the antenna is always in the best working state, thereby significantly improving the efficiency and accuracy of antenna attitude adjustment and optimizing the performance of the communication network.

[0070] Specifically, in the process of obtaining the adaptive threshold, it is necessary to comprehensively consider multiple factors such as data characteristics, problem complexity, model performance, computing resources, interpretability, real-time requirements, model maintenance, robustness, scalability, compliance and ethics when selecting a learning model to ensure that the selected model can effectively capture data features, accurately predict thresholds, and show good performance and stability in practical applications. In order to ensure that the selected model can accurately capture data features, accurately predict thresholds, and maintain high performance and stability in practical applications, support vector machines (SVM) or random forests or neural networks can be preferred. Support vector machines (SVM) are suitable for data sets with clear boundaries, especially perform well in high-dimensional spaces, and have good robustness to overfitting. Random forests, as an integrated learning method, perform well in dealing with nonlinear problems and avoiding overfitting, while providing good interpretability. Neural networks can process a large number of input features and automatically extract key information. The embodiments of the present invention maintain flexibility in model selection, allowing the most appropriate solution to be selected from the above models according to specific application requirements, data characteristics and resource constraints.

[0071] Exemplarily, a neural network model is selected to obtain an adaptive threshold, and the specific acquisition method is:

[0072] (1) Obtain historical attitude data sets, including antenna acceleration, magnetism, gyroscope data, and actual attitude angles. Clean the data, remove outliers and noise, and normalize them to meet the input requirements of the neural network model.

[0073] (2) The historical posture dataset is divided into training set, validation set and test set to facilitate model training, tuning and evaluation.

[0074] (3) Design the architecture of the neural network model and select appropriate network layers, activation functions, and loss functions. Given that the antenna attitude adjustment problem may involve the extraction of spatial features, the convolutional layer is selected as the main component of the network layer. The convolutional layer is good at capturing the local features of the input data and is particularly effective in processing data with spatial correlation. For the activation function, the ReLU function is preferably used in the hidden layer. The ReLU function is widely used due to its simplicity, computational efficiency, and effectiveness in alleviating the gradient vanishing problem. It can introduce nonlinearity, enabling the model to learn complex patterns. For the loss function, the mean absolute error (MAE) is preferred. MAE measures the average of the absolute values ​​of the difference between the predicted value and the true value. It is robust to outliers and can intuitively reflect the size of the prediction error.

[0075] (4) Use the training set data to train the neural network model and adjust the model parameters through an iterative optimization algorithm; use the validation set to evaluate the model performance and adjust the model parameters and structure to improve accuracy and generalization ability. Test the final model on the test set to ensure that it can maintain good performance on unseen data.

[0076] (5) A feedback mechanism is established to continuously monitor the difference between the attitude angle predicted by the model and the actual attitude angle. By accurately calculating these deviations, the adaptive threshold can be dynamically adjusted, thereby enhancing the model's sensitivity and rapid response to changes in antenna attitude. In addition, an online learning strategy is adopted to enable the model to update and self-optimize in real time when new data arrives, ensuring that the model is always up to date to adapt to changing environmental conditions and improve prediction accuracy.

[0077] Through steps (1) to (5), it can be ensured that the obtained adaptive threshold can not only accurately learn and predict the antenna attitude angle, but also provide an effective judgment basis to adapt to the continuous changes in environmental conditions. This process ensures that the system can flexibly respond to different external factors and maintain the optimal adjustment of the antenna attitude.

[0078] Embodiment 2

[0079] Based on the same inventive concept, this embodiment provides an antenna attitude monitoring and electric adjustment system, the principle of solving the problem is similar to the antenna attitude monitoring and electric adjustment method provided in Example 1, and the repeated parts are not repeated here.

[0080] An antenna attitude monitoring and electric adjustment system according to an embodiment of the present invention includes:

[0081] An attitude data acquisition module is used to acquire attitude data of the antenna to be monitored;

[0082] The control and execution module is used to calculate the attitude angle of the antenna in real time according to the attitude data; judge whether the attitude angle exceeds the adaptive threshold; when the attitude angle does not exceed the adaptive threshold, the drive motor of the antenna is turned off and the new attitude data of the antenna is saved; when the attitude angle exceeds the adaptive threshold, the attitude adjustment instruction is sent; the drive motor receives the attitude adjustment instruction, adjusts the attitude of the antenna, and calculates the attitude angle in real time, and then re-judges until the attitude angle does not exceed the adaptive threshold;

[0083] The monitoring module is used to calculate the attitude of the antenna according to the new attitude data and to monitor the antenna according to the attitude;

[0084] Among them, the control and execution module includes a threshold calculation submodule, which is used to obtain a historical posture data set, divide a training set from the historical posture data set, use the training set to train the learning model, and obtain the training model; establish a feedback mechanism to feed back the prediction results of the training model and the deviation of the posture angle to the training model, and dynamically adjust the adaptive threshold.

[0085] Specifically, refer to Figure 2 The control and execution module includes an antenna engineering parameter submodule 1, a first hoop submodule 4, and a second hoop submodule 5. Figure 2 and Figure 3 As shown, the antenna parameter submodule 1 is firmly mounted on the upper end cover of the base station antenna 2. The cantilever bracket 8 is used in conjunction with the motor to achieve mechanical downtilt angle adjustment of the base station antenna 2. The first hoop module 4 and the second hoop module 5 are respectively fixed to the base station antenna 2 and the pole 6 to ensure the stability of the structure. The electric push rod 3 in the first hoop module 4 and the second hoop module 5 is powered by the antenna interface standard group (AISG) circuit embedded in the antenna parameter submodule 1 and executes work instructions, and these instructions are transmitted in accordance with the AISG protocol. Among them, the encapsulation shells of the first hoop module 4 and the second hoop module 5 are both made of sheet metal stamping technology, which not only improves production efficiency, but also significantly reduces processing costs, while ensuring the strength and durability of the shell. In addition, it should be noted that the base station antenna 2 refers to an antenna device installed in the base station, so it is named base station antenna 2, but the scope of application of the present invention is not limited to the base station environment. This means that the present invention is also applicable to other occasions where antenna posture monitoring and electric adjustment are required.

[0086] Specifically, before acquiring the attitude information of the base station antenna 2, the attitude sensor in the attitude data acquisition module needs to be initialized to ensure the accuracy and reliability of the data. After the initialization is completed, the antenna engineering parameter submodule 1 will receive and read the detailed attitude information of the base station antenna 2 transmitted by the attitude data acquisition module, including but not limited to key parameters such as azimuth, mechanical downtilt, altitude, and longitude and latitude.

[0087] Furthermore, after the base station antenna 2 is installed on the tower, an azimuth and a mechanical downtilt angle will be preset. When the external environment (such as wind, hail, etc.) causes the posture of the base station antenna 2 to deviate from the preset value, such as changing the azimuth and mechanical downtilt angle, the antenna engineering parameter submodule 1 can detect that the posture of the base station antenna 2 has changed, and immediately send an alarm to the main device. At the same time, the antenna engineering parameter submodule 1 sends instructions to the electric push rod 3 through the AISG interface to return the base station antenna 2 to the preset position. When the posture of the base station antenna 2 needs to be optimized in the later operation and maintenance, instructions can also be issued to the electric push rod 3 through the antenna engineering parameter submodule 1 to rotate the base station antenna 2 to the specified position. This method not only avoids the inconvenience and risk of manual tower climbing, but also greatly improves the efficiency and safety of the operation, and realizes time-saving and labor-saving operation and maintenance management.

[0088] Further, refer to Figure 3 and Figure 4 , the first hoop module 4 includes a mechanical downtilt dial 7, and the second hoop module 4 includes an antenna azimuth dial 9. These two dials are used to obtain the mechanical downtilt angle and azimuth angle of the base station antenna 2. The mechanical downtilt dial 7 is specifically used to measure and adjust the mechanical downtilt angle of the base station antenna 2, that is, to achieve the downtilt of the beam by adjusting the installation angle of the base station antenna 2, thereby effectively controlling the coverage radius of the base station. By finely adjusting the physical angle of the base station antenna 2, the coverage range and direction of the signal can be optimized, thereby improving network performance and coverage effects. The antenna azimuth dial 9 is used to measure and adjust the azimuth angle of the base station antenna 2, that is, the orientation angle of the base station antenna 2, usually with due north as the reference point, measured in a clockwise direction, and the range covers 0 to 360 degrees. This angle is crucial for determining the main area covered by the base station antenna 2, ensuring that the signal can accurately cover areas with dense user populations. In addition, in this example, in order to ensure that the scales are clearly visible, the mechanical downtilt angle scale 7 and the antenna azimuth angle scale 9 are both printed in black silk screen technology, which improves the readability and durability of the scales.

[0089] The present embodiment provides an antenna attitude monitoring and electric adjustment system, which has the characteristics of easy installation and stable structure, and can monitor key antenna attitude information in real time, including parameters such as azimuth, mechanical downtilt and altitude. Once the azimuth or mechanical downtilt of the base station antenna 2 is detected to have changed, the system will automatically send an alarm to the main equipment system, and use the electric bracket to quickly adjust the antenna back to the preset optimal angle. In addition, when the network optimization requires adjustment of the antenna downtilt and azimuth, the main device can send instructions to the antenna parameter submodule 1, and then electrically adjust the angle of the antenna, thereby avoiding the need for manual climbing of the tower, significantly reducing costs and improving work efficiency. Compared with the traditional manual adjustment of the antenna attitude on the tower, this system can greatly save labor costs when applied on a large scale, significantly improve the efficiency of antenna attitude adjustment, and has obvious advantages in reducing costs and increasing efficiency for the later operation and maintenance management of the product, and has a wide range of application scenarios.

[0090] Embodiment 3

[0091] This embodiment provides an antenna, including the antenna attitude monitoring and electric adjustment system provided in the second embodiment.

[0092] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0093] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0096] Obviously, the above embodiments are merely examples for clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the protection scope of the invention.

Claims

1. A method for antenna attitude monitoring and electric adjustment, characterized in that: include: S1. Obtaining the attitude data of the antenna to be monitored; S2. Calculate the attitude angle of the antenna in real time according to the attitude data; determine whether the attitude angle exceeds an adaptive threshold; wherein the method for obtaining the adaptive threshold is: obtain a historical attitude data set, divide a training set from the historical attitude data set, use the training set to train a learning model, and obtain a training model; establish a feedback mechanism, feed back the prediction result of the training model and the deviation of the attitude angle to the training model, and dynamically adjust the adaptive threshold; S3, when the attitude angle does not exceed the adaptive threshold, the drive motor of the antenna is turned off and the new attitude data of the antenna is saved; when the attitude angle exceeds the adaptive threshold, a posture adjustment instruction is sent; the drive motor receives the posture adjustment instruction, adjusts the attitude of the antenna, and returns to S2 until the attitude angle does not exceed the adaptive threshold; S4. Calculate the posture of the antenna according to the new posture data; and monitor the antenna according to the posture.

2. The antenna attitude monitoring and electric adjustment method according to claim 1, characterized in that: The attitude data includes acceleration data, magnetic data and gyroscope data; the attitude angle is calculated by: taking the cross product of the gravity vector in the acceleration data and the geomagnetic vector in the magnetic data to obtain a cross product error; using the cross product error to correct the gyroscope data to obtain correction data; updating the quaternion according to the correction data to obtain a new quaternion; converting the new quaternion into Euler angles; and calculating the attitude angle based on the Euler angles.

3. The antenna attitude monitoring and electric adjustment method according to claim 1 is characterized in that: Calculating the attitude of the antenna includes calculating the attitude angle, and the calculation formula of the attitude angle is: q est,t =α1q ω,t +α2q ▽,t ; Among them, q est,t is the attitude angle, q ω,t is the attitude calculated by the gyroscope, is the attitude calculated from acceleration data and magnetic data, and α1 and α2 are weighting coefficients.

4. The antenna attitude monitoring and electric adjustment method according to claim 3 is characterized in that: The posture calculated by the gyroscope is calculated as follows: Among them, q ω,t is the attitude calculated by the gyroscope, is the estimated value of the average change rate at time t-1, Δt is the sampling interval, ω t-1 is the angular velocity at time t-1, ω t is the angular velocity, is the Kronecker product.

5. The antenna attitude monitoring and electric adjustment method according to claim 1, characterized in that: The driving motor of the antenna receives the posture adjustment instruction, and the posture adjustment process of the antenna includes exception processing.

6. The antenna attitude monitoring and electric adjustment method according to claim 1, characterized in that: The learning model is a support vector machine, a random forest, or a neural network.

7. An antenna attitude monitoring and electric adjustment system, characterized in that: include: An attitude data acquisition module is used to acquire attitude data of the antenna to be monitored; A control and execution module, used to calculate the attitude angle of the antenna in real time according to the attitude data; and to determine whether the attitude angle exceeds an adaptive threshold; When the attitude angle does not exceed the adaptive threshold, the driving motor of the antenna is turned off and the new attitude data of the antenna is saved; when the attitude angle exceeds the adaptive threshold, an attitude adjustment instruction is sent; the driving motor receives the attitude adjustment instruction, adjusts the attitude of the antenna, calculates the attitude angle in real time, and re-judges until the attitude angle does not exceed the adaptive threshold; A monitoring module, used for calculating the attitude of the antenna according to the new attitude data; Performing the antenna monitoring according to the posture; Wherein, the control and execution module includes a threshold calculation submodule, and the threshold calculation submodule is used to obtain a historical posture data set, divide a training set from the historical posture data set, and use the training set to train a learning model to obtain a training model; A feedback mechanism is established to feed back the prediction result of the training model and the deviation of the posture angle to the training model, and dynamically adjust the adaptive threshold.

8. The antenna attitude monitoring and electric adjustment system according to claim 7, characterized in that: The control and execution module also includes a first clamp sub-module, a second clamp sub-module and an antenna engineering parameter sub-module. The first clamp sub-module and the second clamp sub-module are both powered by an antenna interface standard group circuit embedded in the antenna engineering parameter sub-module.

9. The antenna attitude monitoring and electric adjustment system according to claim 8, characterized in that: The first clamp submodule includes a mechanical downtilt angle dial; the second clamp submodule includes an antenna azimuth angle dial.

10. An antenna, characterized in that: It comprises an antenna attitude monitoring and electric adjustment system as described in any one of claims 7 to 9.

Images