Remote automatic alignment control system for mobile communication radome based on broadband decoupling

Abstract

The present invention relates to the technical field of mobile communication antenna covers, and specifically to a remote automatic alignment control system for mobile communication antenna covers based on broadband decoupling, comprising a control terminal, a collection layer, an evaluation layer and a control layer; the control terminal is the main control end of the system, and is used to issue control commands; the control terminal is deployed at any position among the collection layer, the evaluation layer and the control layer, and transmits control commands to the collection layer based on a wireless network interaction. The present invention can collect meteorological data around the antenna cover as a data reference to decide whether to collect real-time operating parameters of the antenna, and evaluate the control demand of the antenna cover based on the analysis of the real-time operating parameters of the antenna to decide whether to control the antenna cover, and finally, when the antenna cover is controlled, the antenna is moved based on the control of the antenna cover, and the signal transmission performance is restored and maintained as much as possible, so as to avoid the presence of debris on the antenna cover where the antenna is installed due to bad weather, thereby interfering with the signal transmission of the antenna.

Description

Technical Field

[0001] The invention relates to the technical field of mobile communication antenna covers, and in particular to a remote automatic alignment control system for mobile communication antenna covers based on broadband decoupling. Background Art

[0002] Outdoor antennas are usually placed in the open air and are directly attacked by natural storms, snow, dust, and solar radiation, which can reduce the antenna accuracy, shorten its lifespan, and reduce its working reliability.

[0003] The radome is a structure that protects the antenna system from the influence of the external environment. It has good electromagnetic wave penetration characteristics in electrical performance and can withstand the harsh external environment in mechanical performance.

[0004] However, during the daily use of the radome for antenna maintenance, due to the influence of external meteorological changes, a large amount of debris or snow may be attached to the surface of the radome. These attachments will directly cause the signal sent by the radome to the antenna to be interfered, so that the antenna signal cannot be transmitted normally. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a remote automatic alignment control system for a mobile communication antenna cover based on broadband decoupling, which solves the technical problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] First, a remote automatic alignment control system for a mobile communication antenna cover based on broadband decoupling includes a control terminal, a collection layer, an evaluation layer, and a control layer;

[0008] The control terminal is the main control terminal of the system and is used to issue control commands;

[0009] The control terminal is deployed at any position in the collection layer, the evaluation layer and the control layer, and controls the collection layer, the evaluation layer and the control layer based on the wireless network interactive transmission control command;

[0010] The environmental parameters of the radome deployment location are collected in real time through the collection layer, and the probability of the radome being interfered with is predicted synchronously based on the collected environmental parameters of the radome deployment location. The real-time operation parameters of the antenna are synchronously obtained based on the probability of the radome being interfered with. The evaluation layer receives the real-time operation parameters of the antenna collected by the collection layer, and uses the real-time operation parameters of the antenna to evaluate the control demand of the radome. The control layer receives the control demand of the radome evaluated in the evaluation layer in real time, and decides whether to control the radome based on the control demand of the radome. When the decision result is yes, the radome is controlled to move.

[0011] The evaluation layer includes an identification module, a retrieval module and an evaluation module. The identification module is used to monitor whether the acquisition layer performs the acquisition operation of the antenna real-time operation parameters. When the monitoring result is yes, the acquisition layer synchronously identifies the predicted number of interference probabilities of the antenna cover before the acquisition layer performs the acquisition operation of the antenna real-time operation parameters. The retrieval module is used to receive the predicted number of interference probabilities of the antenna cover identified in the identification module, and retrieve the instantaneous parameters of the same number of antenna real-time operation parameters based on the predicted number of interference probabilities of the antenna cover. The evaluation module is used to receive the instantaneous parameters of the antenna real-time operation parameters retrieved in the retrieval module, and evaluate the control demand of the antenna cover based on the instantaneous parameters in the antenna real-time operation parameters.

[0012] The radome control demand is obtained by the following formula:

[0013]

[0014] Where: τ is the control demand of the radome; q is the set of instantaneous parameters in the real-time operation parameters of the antenna; H p is the antenna signal frequency in the pth group of instantaneous parameters; H p+1 is the antenna signal frequency in the p+1th group of instantaneous parameters; db p is the antenna signal gain in the pth group of instantaneous parameters; db p+1 is the antenna signal gain in the p+1th group of instantaneous parameters; SWR p SWR is the standing wave ratio coefficient of the antenna signal in the pth group of instantaneous parameters; p+1 is the standing wave ratio coefficient of the antenna signal in the p+1th group of instantaneous parameters; g is the total amount of instantaneous parameters in q; F p is the probability value of interference on the radome corresponding to the instantaneous parameters of the pth group; F p+1 is the probability value of interference to the radome corresponding to the p+1th group of instantaneous parameters;

[0015] Among them, the greater the antenna cover control demand τ is, the greater the influence of the antenna cover on the antenna operation transmission signal is, and vice versa, the smaller the influence of the antenna cover on the antenna operation transmission signal is.

[0016] Furthermore, the acquisition layer includes an acquisition module, a prediction module, a receiving module and a storage module. The acquisition module is used to input the location information of the deployment location of the radome, and based on the location information of the deployment location of the radome, collect meteorological data of the corresponding location information in the network. The prediction module is used to receive the meteorological data collected in the acquisition module, and predict the probability of the radome being interfered with based on the meteorological data. The receiving module is used to read the predicted probability of the radome being interfered with in the prediction module, and receive the real-time operation parameters of the antenna based on the probability of the radome being interfered with. The storage module is used to store the real-time operation parameters of the antenna received in the receiving module.

[0017] Among them, the meteorological data collected in the acquisition module include: rainfall, temperature, wind level, wind direction, air quality, and the real-time operating parameters of the antenna received in the receiving module include: frequency, gain, standing wave ratio coefficient, and return loss.

[0018] Furthermore, the prediction logic of the probability of interference to the radome in the prediction module is expressed as:

[0019]

[0020] Where: f is the probability of interference to the radome; m is the current rainfall at the radome deployment location; T is the current temperature at the radome deployment location; S is the current wind level at the radome deployment location; A q is the current air quality at the radome deployment location; n is the set of tangents set on the radome surface; k i is the curvature of the tangent position at the ith position on the radome surface; n0 is the total amount of tangents set on the radome surface;

[0021] Among them, the acquisition module in the acquisition layer runs continuously, and the prediction module continuously predicts the probability of the antenna cover being interfered with based on the antenna cover deployment position environmental parameters continuously collected by the acquisition module. The prediction result is that if the performance value f of the probability of the antenna cover being interfered with continuously increases, the receiving module is controlled to run the real-time operating parameters of the receiving antenna. Otherwise, the acquisition module is jumped to further run continuously.

[0022] Furthermore, in the radar cover interference probability prediction logic, the tangent sets n set on the radar cover surface are no less than eight groups, and the corresponding tangent directions are: east, south, west, north, southeast, northeast, southwest, and northwest. The value of the total number of tangents n0 set on the radar cover surface is subject to the following rules: the more the number of surfaces of the radar cover, the larger the value of n0, and vice versa.

[0023] Furthermore, when receiving the antenna real-time operating parameters, the receiving module continuously receives the antenna real-time operating parameters at a receiving frequency of one second, and stores them in the storage module based on the receiving frequency until the identification module in the evaluation layer recognizes that the acquisition operation of the antenna real-time operating parameters is executed. The instantaneous parameters in the antenna real-time operating parameters retrieved in the calling module are the real-time operating parameters of each antenna stored in the storage module. When the calling module retrieves the instantaneous parameters in the antenna real-time operating parameters, the calling operation is performed in the storage module, and the instantaneous parameters in the real-time operating parameters retrieved are the latest and continuous real-time operating parameters of the antenna stored in the storage module.

[0024] Furthermore, the radome control demand degree evaluated by the evaluation module is synchronously stored in the evaluation module, and the evaluation module further places the internally stored radome control demand degree into a coordinate system for representation to form a slope graph;

[0025] The system end user reads the slope graph in the evaluation module in the evaluation layer of the system, analyzes the functional integrity of the radome based on the change trend of the radome control demand in the read slope graph, and further performs offline maintenance on the radome based on the change trend of the radome control demand and the functional integrity of the radome;

[0026] Among them, the radome control demand in the slope graph shows an upward trend, which means that the functional integrity of the radome is in a gradually declining state.

[0027] Furthermore, the control layer includes a decision module, a logic module and a control module. The decision module is used to receive the latest evaluated radome control demand degree in the evaluation layer, compare the radome control demand degree with the safety judgment threshold set in the logic module, and determine whether the radome control demand degree is within the safety judgment threshold. If the radome control demand degree is within the safety judgment threshold, the acquisition layer is jumped to run. Otherwise, the control module is triggered to run. The logic module is used to set the safety judgment threshold and the radome movement logic. The control module is used to receive the judgment result in the decision module and the radome movement logic. When the judgment result is no, the operation is triggered to control the radome to move based on the radome movement logic.

[0028] Among them, an electric slide rail is installed on the surface of the antenna, and the antenna is further installed with an antenna cover based on the electric slide rail installed on the surface. The antenna cover is arranged on the end surface of the antenna, and the electric slide rail is used to carry the antenna cover to rotate and move back and forth in at least two groups of vertical directions on the same plane.

[0029] Furthermore, the antenna cover movement logic set in the logic module is: the antenna cover performs rotation and revolution motion with the antenna as a reference through electric sliding, and during the rotation and revolution motion of the antenna cover, the prediction module continuously predicts the probability of the antenna cover being interfered with. When the continuously predicted probability of the antenna cover being interfered with shows a downward trend, the electric slide rail ends its operation, and the antenna cover is positioned as the electric slide rail ends its operation.

[0030] Furthermore, the identification module is interactively connected to a retrieval module and an evaluation module via a wireless network, the identification module is interactively connected to a storage module via a wireless network, the storage module is interactively connected to a receiving module, a prediction module and a collection module via a wireless network, the evaluation module is interactively connected to a decision module via a wireless network, and the decision module is interactively connected to a logic module and a control module via a wireless network.

[0031] In a second aspect, a remote automatic alignment control method for a mobile communication antenna cover based on broadband decoupling comprises the following steps:

[0032] S1: Collect the environmental parameters of the radome deployment location in real time, and use the real-time collected environmental parameters of the radome deployment location to predict the probability of radome interference;

[0033] S11: Setting stage of the radome interference probability prediction logic;

[0034] S2: Use the radome interference probability prediction results to collect the real-time operating parameters of the antenna;

[0035] S21: the setting stage of instantaneous parameter definition in the antenna real-time operation parameters;

[0036] S3: Using the collected instantaneous parameters of the antenna real-time operating parameters to evaluate the control demand of the radome;

[0037] S4: setting a safety determination threshold, and comparing the safety determination threshold with the radome control demand;

[0038] S41: Setting the radome movement control logic;

[0039] S5: The comparison result is that the radome control demand is within the safety determination threshold, and the process ends;

[0040] S6: If the comparison result shows that the control requirement of the radome is not within the safety judgment threshold, the radome movement control logic is applied to control the movement of the radome, and S3 is applied in real time for judgment until the judgment result shows that the control requirement of the radome is within the safety judgment threshold, and the process ends.

[0041] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0042] Beneficial effects:

[0043] 1. The present invention provides a remote automatic alignment control system for a mobile communication antenna cover based on broadband decoupling. During operation, the system can collect meteorological data around the antenna cover as a data reference to decide whether to collect real-time operating parameters of the antenna, and based on further analysis of the real-time operating parameters of the antenna, evaluate the control requirements of the antenna cover, and then decide whether to control the antenna cover based on the evaluation result. Finally, when the antenna cover is controlled, the antenna is moved based on the control of the antenna cover to restore and maintain the signal transmission performance as much as possible, and avoid the presence of debris on the antenna cover due to bad weather, which may interfere with the signal transmission of the antenna.

[0044] 2. During the operation of the system of the present invention, the meteorological data is combined to perform intelligent control of the radome, which is helpful for the normalized management of the radome and ensures that the surface of the radome will not be easily cleaned up due to the adhesion and accumulation of debris caused by bad weather, which may lead to unstable antenna signal transmission. This improves the user experience of antenna services, avoids too frequent maintenance of antennas and radomes, and reduces the safety risks of antenna and radome applications.

[0045] 3. The present invention provides a method for remote automatic alignment control of a broadband decoupled mobile communication antenna cover. By executing the steps in the method, the stability of the system operation can be further maintained. During the execution of the steps of the method, an operating logic specified by the system is provided to ensure that the technical solution composed of the system and method is more stable and reliable in the specific implementation stage. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 It is a structural schematic diagram of a remote automatic alignment control system for a mobile communication antenna cover based on broadband decoupling;

[0048] Figure 2 It is a flow chart of a method for remote automatic alignment control of a mobile communication antenna cover based on broadband decoupling;

[0049] Figure 3 is an example diagram of a slope diagram based on the radome control demand;

[0050] Figure 4 It is a schematic diagram of the installation structure of the electric slide rail, antenna and antenna cover in the present invention;

[0051] The numbers in the figure represent: 1. antenna; 2. first electric slide rail; 3. second electric slide rail; 4. third electric slide rail; 5. antenna cover. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] The present invention will be further described below in conjunction with the embodiments.

[0054] Embodiment 1:

[0055] The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling of this embodiment is as follows: Figure 1 As shown, it includes control terminal, collection layer, evaluation layer and control layer;

[0056] The control terminal is the main control terminal of the system and is used to issue control commands;

[0057] The control terminal is deployed at any position in the collection layer, evaluation layer and control layer, and controls the collection layer, evaluation layer and control layer based on the interactive transmission control commands of the wireless network;

[0058] The environmental parameters of the radome deployment location are collected in real time through the collection layer, and the probability of the radome being interfered with is predicted synchronously based on the collected environmental parameters of the radome deployment location. The real-time operation parameters of the antenna are synchronously obtained based on the probability of the radome being interfered with. The evaluation layer receives the real-time operation parameters of the antenna collected by the collection layer, and uses the real-time operation parameters of the antenna to evaluate the control demand of the radome. The control layer receives the control demand of the radome evaluated in the evaluation layer in real time, and decides whether to control the radome based on the control demand of the radome. When the decision result is yes, the radome is controlled to move.

[0059] The evaluation layer includes an identification module, a retrieval module and an evaluation module. The identification module is used to monitor whether the acquisition layer performs the acquisition operation of the antenna real-time operation parameters. When the monitoring result is yes, the acquisition layer synchronously identifies the number of predicted probability times of interference with the antenna cover before the acquisition layer performs the acquisition operation of the antenna real-time operation parameters. The retrieval module is used to receive the number of predicted probability times of interference with the antenna cover identified in the identification module, and retrieve the instantaneous parameters of the same number of antenna real-time operation parameters based on the predicted probability times of interference with the antenna cover. The evaluation module is used to receive the instantaneous parameters of the antenna real-time operation parameters retrieved in the retrieval module, and evaluate the control demand of the antenna cover based on the instantaneous parameters in the antenna real-time operation parameters.

[0060] The radome control demand is obtained by the following formula:

[0061]

[0062] Where: τ is the control demand of the radome; q is the set of instantaneous parameters in the real-time operation parameters of the antenna; H p is the antenna signal frequency in the pth group of instantaneous parameters; H p+1 is the antenna signal frequency in the p+1th group of instantaneous parameters; db p is the antenna signal gain in the pth group of instantaneous parameters; db p+1is the antenna signal gain in the p+1th group of instantaneous parameters; SWR p SWR is the standing wave ratio coefficient of the antenna signal in the pth group of instantaneous parameters; p+1 is the standing wave ratio coefficient of the antenna signal in the p+1th group of instantaneous parameters; g is the total amount of instantaneous parameters in q; F p is the probability value of interference on the radome corresponding to the instantaneous parameters of the pth group; F p+1 is the probability value of interference to the radome corresponding to the p+1th group of instantaneous parameters;

[0063] Among them, the greater the radome control demand τ is, the greater the influence of the radome on the antenna operation transmission signal is, and vice versa, the smaller the influence of the radome on the antenna operation transmission signal is;

[0064] The collection layer includes a collection module, a prediction module, a receiving module and a storage module. The collection module is used to input the location information of the deployment location of the radome, and collect meteorological data of the corresponding location information in the network based on the location information of the deployment location of the radome. The prediction module is used to receive the meteorological data collected in the collection module, and predict the probability of the radome being interfered with based on the meteorological data. The receiving module is used to read the probability of the radome being interfered with predicted in the prediction module, and receive the real-time operation parameters of the antenna based on the probability of the radome being interfered with. The storage module is used to store the real-time operation parameters of the antenna received in the receiving module.

[0065] Among them, the meteorological data collected in the acquisition module include: rainfall, temperature, wind level, wind direction, air quality, and the real-time operating parameters of the antenna received in the receiving module include: frequency, gain, standing wave ratio coefficient, and return loss;

[0066] The control layer includes a decision module, a logic module and a control module. The decision module is used to receive the latest evaluated radome control demand in the evaluation layer, compare the radome control demand with the safety judgment threshold set in the logic module, and determine whether the radome control demand is within the safety judgment threshold. If the radome control demand is within the safety judgment threshold, the acquisition layer is jumped to run. Otherwise, the control module is triggered to run. The logic module is used to set the safety judgment threshold and the radome movement logic. The control module is used to receive the judgment result and the radome movement logic in the decision module. When the judgment result is no, the operation is triggered to control the radome to move based on the radome movement logic.

[0067] The surface of the antenna is equipped with an electric slide rail, and the antenna is further equipped with an antenna cover based on the electric slide rail installed on the surface. The antenna cover is arranged on the end surface of the antenna, and the electric slide rail is used to carry the antenna cover to rotate and reciprocate linearly in at least two groups of vertical directions on the same plane;

[0068] The radome movement logic set in the logic module is: the radome performs rotation and revolution motion with the antenna as a reference through electric sliding, and during the rotation and revolution motion of the radome, the prediction module continuously predicts the probability of interference with the radome, and when the continuously predicted probability of interference with the radome shows a downward trend, the electric slide rail ends its operation, and the radome is positioned as the electric slide rail ends its operation;

[0069] The identification module is interactively connected to the retrieval module and the evaluation module through a wireless network, the identification module is interactively connected to the storage module through a wireless network, the storage module is interactively connected to the receiving module, the prediction module and the acquisition module through a wireless network, the evaluation module is interactively connected to the decision module through a wireless network, and the decision module is interactively connected to the logic module and the control module through a wireless network.

[0070] In this embodiment, the control terminal controls the operation of the collection layer, the collection module runs to enter the location information of the deployment position of the antenna cover, and the meteorological data of the corresponding location information is collected in the network based on the location information of the deployment position of the antenna cover. The prediction module synchronously receives the meteorological data collected in the collection module, and predicts the probability of the antenna cover being interfered with based on the meteorological data. The receiving module post-operates to read the predicted probability of the antenna cover being interfered with in the prediction module, and receives the real-time operation parameters of the antenna based on the probability of the antenna cover being interfered with. The real-time operation parameters of the antenna received in the receiving module are then stored in the storage module. The identification module further monitors whether the acquisition operation of the real-time operation parameters of the antenna is executed in the collection layer. When the monitoring result is yes, the acquisition layer synchronously identifies the number of predicted probability of the antenna cover being interfered with before the acquisition operation of the real-time operation parameters of the antenna is executed. The retrieval module receives the predicted number of predicted probability of the antenna cover being interfered with in the identification module in real time. The probability of the radome being interfered with is predicted times, and the instantaneous parameters in the real-time operating parameters of the same number of antennas are retrieved. The evaluation module then receives the instantaneous parameters in the real-time operating parameters of the antennas retrieved in the retrieval module, and the control demand of the radome is evaluated based on the instantaneous parameters in the real-time operating parameters of the antennas. Finally, the decision module receives the latest evaluated control demand of the radome in the evaluation layer, and compares the control demand of the radome based on the safety judgment threshold set in the logic module to determine whether the control demand of the radome is within the safety judgment threshold. If the control demand of the radome is within the safety judgment threshold, the acquisition layer is jumped to run. Otherwise, the control module is triggered to run. The logic module runs to set the safety judgment threshold and the radome movement logic. The control module runs to receive the judgment result and the radome movement logic in the decision module. When the judgment result is no, the operation is triggered to control the displacement of the radome based on the radome movement logic.

[0071] Through the above embodiments, an automatic alignment control system is provided for the radome, so that when debris is attached to the surface of the radome due to bad weather, which affects the transmission of antenna signals, the influence of antenna signal transmission can be temporarily avoided by aligning the displacement of the radome, thereby providing a guarantee for the transmission of antenna signals and making the transmission process of antenna signals more robust.

[0072] See also Figure 3 As shown, the figure further shows the installation structure of the electric slide rail, the antenna and the radome, that is, the relative distribution positions of the three;

[0073] See also Figure 4 In the specific implementation stage of the above-mentioned embodiment, the control of the antenna cover is as follows: the first electric slide rail drives the second electric slide rail 3 to operate, and the second electric slide rail 3 drives the third electric slide rail 4 to operate. Based on the operation of the first electric slide rail 2 and the second electric slide rail 3, the third electric slide rail 4 is driven to carry the antenna cover 5 and move simultaneously in the longitudinal and transverse directions on the same plane, thereby forming an orbital motion. At the same time, during the orbital motion, the third electric slide rail 4 carries the antenna cover 5 to rotate, thereby realizing the self-rotation motion of the antenna cover 5, and then in this process, based on the real-time prediction of the probability of the antenna cover being interfered with, the antenna cover 5 is automatically positioned. Control effect.

[0074] Embodiment 2:

[0075] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling in Example 1 is further specifically described as follows:

[0076] The prediction logic of the probability of the radome being interfered with in the prediction module is expressed as:

[0077]

[0078] Where: f is the probability of interference to the radome; m is the current rainfall at the radome deployment location; T is the current temperature at the radome deployment location; S is the current wind level at the radome deployment location; A q is the current air quality at the radome deployment location; n is the set of tangents set on the radome surface; k i is the curvature of the tangent position at the ith position on the radome surface; n0 is the total amount of tangents set on the radome surface;

[0079] Among them, the acquisition module in the acquisition layer runs continuously, and the prediction module continuously predicts the probability of the radome being interfered with based on the radome deployment position environmental parameters collected by the acquisition module. If the prediction result is that the performance value f of the probability of the radome being interfered with is continuously increasing, the receiving module is controlled to run the real-time operating parameters of the receiving antenna. Otherwise, the acquisition module is jumped to further run continuously.

[0080] In the prediction logic of the probability of interference to the radome, the tangent sets n set on the radome surface are no less than eight groups, and the corresponding tangent directions are: east, south, west, north, southeast, northeast, southwest, and northwest. The value of the total number of tangents n0 set on the radome surface follows that the more the number of surfaces on the radome surface, the larger the value of n0, and vice versa.

[0081] Through the calculation of the above formula, the prediction logic of the probability of interference to the antenna cover in the prediction module is further limited, thereby providing necessary operation data support for the operation of the evaluation layer and the control layer in the system.

[0082] like Figure 1 As shown, when receiving the antenna real-time operating parameters, the receiving module continuously receives the antenna real-time operating parameters with a receiving frequency of one second, and stores them in the storage module based on the receiving frequency until the identification module in the evaluation layer recognizes that the acquisition operation of the antenna real-time operating parameters is executed. The instantaneous parameters in the antenna real-time operating parameters retrieved in the calling module are the real-time operating parameters of each antenna stored in the storage module. When the calling module retrieves the instantaneous parameters in the antenna real-time operating parameters, the retrieval operation is performed in the storage module, and the instantaneous parameters in the real-time operating parameters retrieved are the latest and continuous real-time operating parameters of the antenna stored in the storage module.

[0083] Through the above settings, the definition and acquisition logic of instantaneous parameters in the real-time operation parameters of the antenna are limited.

[0084] Embodiment 3:

[0085] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling in Example 1 is further specifically described as follows:

[0086] The radome control demand degree evaluated by the evaluation module is synchronously stored in the evaluation module, and the evaluation module further places the internally stored radome control demand degree into a coordinate system for representation to form a slope diagram;

[0087] The system end user reads the slope graph in the evaluation module in the evaluation layer of the system, analyzes the functional integrity of the radome based on the change trend of the radome control demand in the read slope graph, and further performs offline maintenance on the radome based on the change trend of the radome control demand and the functional integrity of the radome;

[0088] Among them, the radome control demand in the slope graph shows an upward trend, which means that the functional integrity of the radome is in a gradually declining state.

[0089] Through the above settings, during the operation of the system, it is possible to provide system-side users with feedback on the radome control demand in a visual data display format, and the antenna and radome backend managers can carry out adaptive offline management of the antenna and radome based on changes in the radome control demand.

[0090] Embodiment 4:

[0091] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling in Example 1 is further specifically described as follows:

[0092] A remote automatic alignment control method for a mobile communication antenna cover based on broadband decoupling comprises the following steps:

[0093] S1: Collect the environmental parameters of the radome deployment location in real time, and use the real-time collected environmental parameters of the radome deployment location to predict the probability of radome interference;

[0094] S11: Setting stage of the radome interference probability prediction logic;

[0095] S2: Use the radome interference probability prediction results to collect the real-time operating parameters of the antenna;

[0096] S21: the setting stage of instantaneous parameter definition in the antenna real-time operation parameters;

[0097] S3: Using the collected instantaneous parameters of the antenna real-time operating parameters to evaluate the control demand of the radome;

[0098] S4: setting a safety determination threshold, and comparing the safety determination threshold with the radome control demand;

[0099] S41: Setting the radome movement control logic;

[0100] S5: The comparison result is that the radome control demand is within the safety determination threshold, and the process ends;

[0101] S6: If the comparison result shows that the control requirement of the radome is not within the safety judgment threshold, the radome movement control logic is applied to control the movement of the radome, and S3 is applied in real time for judgment until the judgment result shows that the control requirement of the radome is within the safety judgment threshold, and the process ends.

[0102] In summary, in the above-mentioned embodiment, during operation, the system can collect meteorological data around the antenna cover as a data reference to decide whether to collect real-time operating parameters of the antenna, and based on further analysis of the real-time operating parameters of the antenna, evaluate the control requirements of the antenna cover, and then decide whether to control the antenna cover based on the evaluation results. Finally, when the antenna cover is controlled, the antenna is moved based on the control of the antenna cover to restore and maintain the signal transmission performance as much as possible, and avoid the presence of debris on the antenna cover caused by bad weather, so as to interfere with the signal transmission of the antenna; and during operation, the system combines meteorological data to intelligently control the antenna cover, which is helpful for the normalized management of the antenna cover, ensuring that the surface of the antenna cover will not be easily cleaned due to the adhesion and accumulation of debris caused by bad weather, and the unstable antenna signal transmission will not occur easily, thereby improving the user experience of the antenna service, avoiding too frequent maintenance of the antenna and the antenna cover, and reducing the safety risks of the antenna and the antenna cover; in addition, the method in the embodiment can further maintain the stability of the system operation, and during the execution of the steps of the method, provide the operation logic specified by the system to ensure that the technical solution composed of the system and method is more stable and reliable in the specific implementation stage.

[0103] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the essence and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote automatic alignment control system for a mobile communication antenna cover based on broadband decoupling, characterized in that: Includes control terminal, collection layer, evaluation layer and control layer; The control terminal is the main control terminal of the system and is used to issue control commands; The control terminal is deployed at any position in the collection layer, the evaluation layer and the control layer, and controls the collection layer, the evaluation layer and the control layer based on the wireless network interactive transmission control command; The environmental parameters of the radome deployment location are collected in real time through the collection layer, and the probability of the radome being interfered with is predicted synchronously based on the collected environmental parameters of the radome deployment location. The real-time operation parameters of the antenna are synchronously obtained based on the probability of the radome being interfered with. The evaluation layer receives the real-time operation parameters of the antenna collected by the collection layer, and uses the real-time operation parameters of the antenna to evaluate the control demand of the radome. The control layer receives the control demand of the radome evaluated in the evaluation layer in real time, and decides whether to control the radome based on the control demand of the radome. When the decision result is yes, the radome is controlled to move. The evaluation layer includes an identification module, a retrieval module and an evaluation module. The identification module is used to monitor whether the acquisition layer performs the acquisition operation of the antenna real-time operation parameters. When the monitoring result is yes, the acquisition layer synchronously identifies the predicted number of interference probabilities of the antenna cover before the acquisition layer performs the acquisition operation of the antenna real-time operation parameters. The retrieval module is used to receive the predicted number of interference probabilities of the antenna cover identified in the identification module, and retrieve the instantaneous parameters of the same number of antenna real-time operation parameters based on the predicted number of interference probabilities of the antenna cover. The evaluation module is used to receive the instantaneous parameters of the antenna real-time operation parameters retrieved in the retrieval module, and evaluate the control demand of the antenna cover based on the instantaneous parameters in the antenna real-time operation parameters. The radome control demand is obtained by the following formula: ； Where: Control the demand for the radome; It is a collection of instantaneous parameters in the real-time operating parameters of the antenna; is the antenna signal frequency in the pth group of instantaneous parameters; is the antenna signal frequency in the p+1th group of instantaneous parameters; is the antenna signal gain in the pth group of instantaneous parameters; is the antenna signal gain in the p+1th group of instantaneous parameters; is the standing wave ratio coefficient of the antenna signal in the pth group of instantaneous parameters; is the standing wave ratio coefficient of the antenna signal in the p+1th group of instantaneous parameters; for The total amount of instantaneous parameters in; is the probability value of interference on the radome corresponding to the instantaneous parameters of the pth group; is the probability value of interference to the radome corresponding to the p+1th group of instantaneous parameters; Among them, the radome control demand The larger the value, the greater the influence of the radome on the antenna operation transmission signal. Conversely, the smaller the value, the smaller the influence of the radome on the antenna operation transmission signal. The collection layer includes a collection module, a prediction module, a receiving module and a storage module. The collection module is used to input the location information of the deployment location of the radome, and collect meteorological data of the corresponding location information in the network based on the location information of the deployment location of the radome. The prediction module is used to receive the meteorological data collected in the collection module, and predict the probability of the radome being interfered with based on the meteorological data. The receiving module is used to read the probability of the radome being interfered with predicted in the prediction module, and receive the real-time operation parameters of the antenna based on the probability of the radome being interfered with. The storage module is used to store the real-time operation parameters of the antenna received in the receiving module. The meteorological data collected in the acquisition module include: rainfall, temperature, wind level, wind direction, air quality, and the real-time operating parameters of the antenna received in the receiving module include: frequency, gain, standing wave ratio coefficient, and return loss; The prediction logic of the probability of interference to the radome in the prediction module is expressed as: ； Where: is the probability value of interference to the radome; Current rainfall for the radome deployment location; The current temperature at the radome deployment location; The current wind level at the radome deployment location; Current air quality for the radome deployment location; A set of tangent lines defined for the radome surface; is the curvature of the tangent position at the ith position on the radome surface; The total amount of tangent set for the wire mask surface; Among them, the acquisition module in the acquisition layer runs continuously, and the prediction module continuously predicts the probability of the radome being interfered with based on the radome deployment location environmental parameters collected by the acquisition module continuously. The prediction result is the probability performance value of the radome being interfered with If it is continuously rising, the receiving module is controlled to run the real-time operating parameters of the receiving antenna. Otherwise, the acquisition module is jumped to further continuous operation.

2. According to the broadband decoupling-based remote automatic alignment control system for mobile communication antenna cover according to claim 1, it is characterized in that: The tangent set of the radome surface in the radome interference probability prediction logic No less than eight groups, with corresponding tangent directions: east, south, west, north, southeast, northeast, southwest, northwest; Among them, the total amount of tangent set on the radome surface The value of follows: The more the number of surfaces on the radome, the The larger the value, the smaller the The smaller the value.

3. The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling according to claim 1 is characterized in that: When receiving the antenna real-time operation parameters, the receiving module continuously receives the antenna real-time operation parameters with a receiving frequency of one second, and stores them in the storage module based on the receiving frequency until the identification module in the evaluation layer recognizes that the acquisition operation of the antenna real-time operation parameters is executed. The instantaneous parameters in the antenna real-time operation parameters retrieved in the retrieval module are the real-time operation parameters of each antenna distinguished and stored in the storage module. When the retrieval module retrieves the instantaneous parameters in the antenna real-time operation parameters, the retrieval operation is performed in the storage module, and the instantaneous parameters in the real-time operation parameters retrieved are the latest and continuous real-time operation parameters of the antenna distinguished and stored in the storage module.

4. The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling according to claim 1 is characterized in that: The radome control demand degree evaluated by the evaluation module is synchronously stored in the evaluation module, and the evaluation module further places the internally stored radome control demand degree into a coordinate system for representation to form a slope graph; The system end user reads the slope graph in the evaluation module in the evaluation layer of the system, analyzes the functional integrity of the radome based on the change trend of the radome control demand in the read slope graph, and further performs offline maintenance on the radome based on the change trend of the radome control demand and the functional integrity of the radome; Among them, the radome control demand in the slope graph shows an upward trend, which means that the functional integrity of the radome is in a gradually declining state.

5. The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling according to claim 1 is characterized in that: The control layer includes a decision module, a logic module and a control module. The decision module is used to receive the latest evaluated radome control demand in the evaluation layer, compare the radome control demand with the safety judgment threshold set in the logic module, and determine whether the radome control demand is within the safety judgment threshold. If the radome control demand is within the safety judgment threshold, the acquisition layer is jumped to run. Otherwise, the control module is triggered to run. The logic module is used to set the safety judgment threshold and the radome movement logic. The control module is used to receive the judgment result in the decision module and the radome movement logic. When the judgment result is no, the operation is triggered to control the radome to move based on the radome movement logic. Among them, an electric slide rail is installed on the surface of the antenna, and the antenna is further installed with an antenna cover based on the electric slide rail installed on the surface. The antenna cover is arranged on the end surface of the antenna, and the electric slide rail is used to carry the antenna cover to rotate and move back and forth in at least two groups of vertical directions on the same plane.

6. The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling according to claim 5 is characterized in that: The radome movement logic set in the logic module is: the radome performs rotation and revolution motion with the antenna as a reference through electric sliding, and during the rotation and revolution motion of the radome, the prediction module continuously predicts the probability of the radome being interfered with. When the continuously predicted probability of the radome being interfered with shows a downward trend, the electric slide rail ends its operation, and the radome is positioned as the electric slide rail ends its operation.

7. The mobile communication antenna cover remote automatic alignment control system based on broadband decoupling according to claim 1 is characterized in that: The identification module is interactively connected to a retrieval module and an evaluation module via a wireless network, the identification module is interactively connected to a storage module via a wireless network, the storage module is interactively connected to a receiving module, a prediction module and a collection module via a wireless network, the evaluation module is interactively connected to a decision module via a wireless network, and the decision module is interactively connected to a logic module and a control module via a wireless network.

8. A method for remote automatic alignment control of a mobile communication antenna cover based on broadband decoupling, the method being an implementation method of the remote automatic alignment control system of a mobile communication antenna cover based on broadband decoupling as claimed in any one of claims 1 to 7, characterized in that: The following steps are involved: S1: Collect the environmental parameters of the radome deployment location in real time, and use the real-time collected environmental parameters of the radome deployment location to predict the probability of radome interference; S11: Setting stage of the radome interference probability prediction logic; S2: Use the radome interference probability prediction results to collect the real-time operating parameters of the antenna; S21: the setting stage of instantaneous parameter definition in the antenna real-time operation parameters; S3: Using the collected instantaneous parameters of the antenna real-time operating parameters to evaluate the control demand of the radome; S4: setting a safety determination threshold, and comparing the safety determination threshold with the radome control demand; S41: Setting the radome movement control logic; S5: The comparison result is that the radome control demand is within the safety determination threshold, and the process ends; S6: If the comparison result shows that the control requirement of the radome is not within the safety judgment threshold, the radome movement control logic is applied to control the movement of the radome, and S3 is applied in real time for judgment until the judgment result shows that the control requirement of the radome is within the safety judgment threshold, and the process ends.

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