CN113807013B - Method and device for processing top data, electronic equipment and readable storage medium - Google Patents
Method and device for processing top data, electronic equipment and readable storage medium Download PDFInfo
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- CN113807013B CN113807013B CN202111090847.XA CN202111090847A CN113807013B CN 113807013 B CN113807013 B CN 113807013B CN 202111090847 A CN202111090847 A CN 202111090847A CN 113807013 B CN113807013 B CN 113807013B
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Abstract
The application provides a method and device for processing sky data, electronic equipment and a readable storage medium. The method for processing the sky data comprises the following steps: acquiring a day deployment scheme of a target site; according to the antenna deployment scheme, a first parameter value of the antenna deployment scheme of the target site is obtained by using a preset judgment model, wherein the first parameter value is used for representing the rationality of the antenna deployment scheme; the decision model is obtained by training with a first sample data set, and the first sample data set comprises: at least one set of first training data, each set of first training data comprising: a sample antenna deployment scenario for a sample antenna to be deployed on a sample site, and a first parameter value for the sample antenna deployment scenario; and outputting a first parameter value of a day deployment scheme of the target site. The utility model can improve the efficiency of the antenna deployment.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for processing antenna data, an electronic device, and a readable storage medium.
Background
The antenna surface is the plane on which the antenna is mounted. In the antenna deployment process of the fifth generation mobile communication technology (5th Generation Mobile Communication Technology,5G), a scheme design with multiple dimensions is involved, including the planning of the dimensions such as antenna hanging height, antenna downtilt angle, total ownership cost (Total Cost of Ownership, TCO) and the like.
At present, the following rules are mainly adopted to generate a sky deployment scheme: the antenna is mainly planned and installed on the existing spare antenna installation platform, and the hanging height of the antenna is the height of the spare antenna installation platform. The antenna downtilt is mainly the downtilt of the antenna along the previous generation mobile communication technology, namely the fourth generation mobile communication technology (4th Generation Mobile Communication Technology,4G). In terms of TCO, it is mainly planning the sky resources vacated by the old network-backed communication system (e.g., network-backed optical fiber, network-backed antenna, etc.).
However, at present, after the antenna deployment is performed by using the antenna deployment scheme, whether the antenna deployment scheme is reasonable or not can be determined based on whether the installed antenna meets the requirements in actual use, and when the deployment scheme is unreasonable, the antenna installation needs to be carried out by re-loading the antenna on the tower for a second time, so that the antenna installation efficiency is lower. Therefore, how to determine the rationality of a day deployment scenario before implementing the day deployment scenario is a matter of urgent need.
Disclosure of Invention
The application provides a method and a device for processing sky data, electronic equipment and a readable storage medium, which are used for solving the problem that the overall rationality of a sky deployment scheme is difficult to comprehensively judge.
In a first aspect, the present application provides a method for processing antenna data, the method including:
acquiring a day deployment scheme of a target site;
according to the antenna deployment scheme, a first parameter value of the antenna deployment scheme of the target site is obtained by using a preset judgment model, wherein the first parameter value is used for representing the rationality of the antenna deployment scheme; the decision model is obtained by training with a first sample data set, and the first sample data set comprises: at least one set of first training data, each set of first training data comprising: a sample antenna deployment scenario for a sample antenna to be deployed on a sample site, and a first parameter value for the sample antenna deployment scenario;
and outputting a first parameter value of a day deployment scheme of the target site.
Optionally, each set of first training data further includes: a second parameter value of a antenna deployment plan of the sample antenna, the second parameter value being used to characterize the rationality of antenna downtilt in the antenna deployment plan;
The obtaining, according to the antenna deployment scheme of the target site, a first parameter value of the antenna deployment scheme of the target site by using a preset decision model includes:
according to the antenna deployment scheme of the target site, a first parameter value and the second parameter value of the antenna deployment scheme of the target site are obtained by using a preset judgment model;
the outputting the first parameter value of the antenna deployment scenario of the target site includes:
and outputting a first parameter value and a second parameter value of a day deployment scheme of the target site.
Optionally, after outputting the first parameter value and the second parameter value of the antenna deployment scenario of the target site, the method further includes:
if the rationality of the antenna downtilt represented by the second parameter value of the antenna deployment scheme of the target site does not meet the rationality requirement, acquiring the downtilt of the antenna to be deployed after optimization adjustment by using a preset downtilt optimization model according to the information related to the downtilt of the antenna to be deployed in the antenna database of the target site; the downtilt optimization model is obtained by training by adopting a second sample data set, and the second sample data set comprises: at least one set of second training data, each set of second training data comprising: information related to the downward inclination angle of the sample to be deployed in a sample station site antenna database, and the downward inclination angle of the sample to be deployed after optimization and adjustment; the sky database comprises: the use condition of the platform used for installing the sky at the station address and the information of the communication system corresponding to the installed sky at the station address;
And updating the antenna deployment scheme of the target station address by using the downward inclination angle after the antenna optimization adjustment to be deployed, so as to obtain the optimized antenna deployment scheme.
Optionally, each set of second training data further comprises: the space between a sample site and an adjacent site, wherein the antenna surface deployed on the adjacent site and the sample antenna surface to be deployed on the sample site belong to the same communication system;
the obtaining the optimized adjusted downward inclination angle by using a preset downward inclination angle optimizing model according to the information related to the downward inclination angle in the antenna database of the target station site comprises the following steps:
and obtaining the optimized and adjusted downward inclination angle by using a preset downward inclination angle optimizing model according to the information related to the downward inclination angle in the antenna surface database of the target site and the distance between the target site and the adjacent site.
Optionally, the obtaining, according to the information related to the downtilt angle in the antenna database of the target site and the distance between the target site and the adjacent site, the downtilt angle after optimization adjustment by using a preset downtilt angle optimization model includes:
carrying out data normalization processing on information related to the downward inclination angle in a weather database of the target station address and the distance between the target station address and the adjacent station address;
And inputting the information related to the downward inclination angle in the antenna surface database of the target station address after normalization processing and the distance between the target station address and the adjacent station address into the downward inclination angle optimization model to obtain the downward inclination angle after optimization and adjustment.
Optionally, after the outputting the first parameter value of the antenna deployment scenario of the target site, the method further includes:
if the first parameter value represents that the antenna deployment scheme does not meet the rationality requirement, the antenna deployment scheme is optimized and adjusted based on an antenna database of the target site, and an optimized antenna deployment scheme is obtained;
wherein, the sky database includes: and the target site is used for installing the information of the use condition of the platform on the sky and the communication system corresponding to the installed sky.
Optionally, the outputting the first parameter value of the antenna deployment scheme of the target site includes:
and outputting the rationality level corresponding to the first parameter value of the top deployment scheme of the target station according to the mapping relation between the first parameter value and the rationality level and the first parameter of the top deployment scheme of the target station.
In a second aspect, the present application provides a sky data processing device, the device comprising:
the first acquisition module is used for acquiring a weather deployment scheme of the target station address;
the second acquisition module is used for acquiring a first parameter value of the antenna deployment scheme of the target site by utilizing a preset judgment model according to the antenna deployment scheme, wherein the first parameter value is used for representing the rationality of the antenna deployment scheme; the decision model is obtained by training with a first sample data set, and the first sample data set comprises: at least one set of first training data, each set of first training data comprising: a sample antenna deployment scenario for a sample antenna to be deployed on a sample site, and a first parameter value for the sample antenna deployment scenario;
and the output module is used for outputting a first parameter value of the antenna deployment scheme of the target station.
In a third aspect, the present application provides an electronic device, including: at least one processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to implement the method of any one of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for implementing the method of any one of the first aspects when executed by a processor.
According to the antenna data processing method, the antenna data processing device, the electronic equipment and the readable storage medium, the antenna deployment scheme of the sample antenna to be deployed on the sample site and the first parameter value used for representing the rationality of the antenna deployment scheme of the sample antenna are used as training data, and the judgment model of the first parameter value of the antenna deployment scheme capable of outputting the target site is obtained through training, so that whether the antenna deployment scheme is reasonable or not can be judged by using the judgment model, the rationality of the antenna deployment scheme is not required to be verified based on the use condition after the installation is completed, the situation that the antenna deployment scheme is secondarily installed due to unreasonable scheme is avoided, and the efficiency of the antenna deployment is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic diagram of a base station structure to which a method for processing antenna data according to an embodiment of the present application is applied;
fig. 2 is a flow chart of a method for processing antenna data according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a specific example of a method for processing antenna data according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a sky data processing device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
The terms referred to in this application are explained first:
an antenna: in a radio device, means for transmitting or receiving electromagnetic waves.
The antenna referred to in this application may be a separate device from the remote radio unit (Remote Radio Unit, RRU) or may be integrated in the active antenna unit (Active Antenna Unit, AAU).
Day deployment scheme: the antenna installation design scheme comprises an antenna installation scene, an antenna installation platform, an antenna hanging height, an antenna downward inclination angle and the like.
The installation scene of the antenna can comprise urban area scene, county scene, village and town scene, rural scene and the like.
Antenna mounting platform: and a platform which is provided on the holding pole and can be provided with an antenna. Wherein, the pole is the mechanical structure that supports the antenna.
Antenna hanging height: distance between the antenna mounting location and the ground.
Antenna downtilt angle: and an included angle between the radiation direction of the antenna and the vertical plane.
Illustratively, with the same downtilt angle, the higher the mounting platform of the antenna, the higher the antenna hang-up, and the greater the range of network coverage. The larger the antenna downtilt, the larger the range of network coverage with the same hook height.
At present, after the antenna deployment scheme is utilized to deploy the antenna, whether the antenna deployment scheme is reasonable or not can be determined based on whether the installed antenna meets the requirements in actual use, and when the deployment scheme is unreasonable, the antenna installation needs to be carried out again by a secondary tower loading, so that the antenna installation efficiency is lower. Therefore, how to determine the rationality of a day deployment scenario before implementing the day deployment scenario is a matter of urgent need.
In view of the above, the present application provides a method for processing antenna data, which can determine whether a antenna deployment scheme is reasonable before the antenna deployment scheme is utilized to deploy the antenna, and then perform antenna deployment work again under the condition that the antenna deployment scheme is reasonable, so as to reduce the situation that the antenna installation is performed again by a secondary tower, and improve the antenna installation efficiency.
The method for processing the antenna data can be applied to the base station shown in the figure 1. As shown in fig. 1, the base station includes: at least one AAU, at least one pole, an iron tower, an indoor baseband processing unit (Building Base band Unite, BBU), and power equipment. The AAU is integrated with an antenna for transmitting or receiving electromagnetic waves, and is also used for resonance, filtering, power amplification and the like. The AAU is installed on the pole, and the pole is installed on the iron tower. The AAU is connected with the BBU through an optical fiber, and the BBU is used for processing baseband signals of mobile communication, including voice signals, data traffic signals, signaling signals and the like. The power device is used to provide power to each device of the base station.
Illustratively, each pole has at least one mounting platform on which an AAU may be mounted. When at least two AAUs can be mounted on the pole, the AAU mounting platform furthest from the ground on the pole can be referred to as the first platform of the pole, the AAU mounting platform furthest from the ground on the pole can be referred to as the second platform of the pole, and so on.
Illustratively, when the base station includes three AAUs, the three AAUs may be disposed at 120 degrees to each other on the base station.
It should be understood that one AAU in the above base station structure may be replaced by one RRU and one antenna, and fig. 1 is merely an exemplary illustration taking an AAU as an example of a base station.
The following describes the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
The method for processing the antenna data provided in the present application may be executed by any electronic device having processing capability, or may be executed by a component (e.g., a chip) having processing capability in the electronic device, which is not limited in this application. The following method embodiments are exemplary descriptions taking an execution body of the method as an electronic device as an example.
Fig. 2 is a flow chart of a method for processing antenna data according to an embodiment of the present application. As shown in fig. 2, the method of the present application may include:
S101, acquiring a day deployment scheme of a target site.
For example, the electronic device may obtain a weather deployment scenario for the target site based on user input. Alternatively, the electronic device may acquire the antenna deployment plan of the target site from other electronic devices storing the antenna deployment plan of the target site according to the target site (e.g., longitude and latitude).
The antenna deployment scheme may include, for example: target site, site scene (e.g., urban scene, county scene, village scene, rural scene), antenna installation platform, antenna hanging height, remaining port number after antenna installation, antenna downtilt angle, whether antenna downtilt angle is along the downtilt angle of the last generation mobile communication technology antenna, whether a network backed antenna is adopted, etc.
S102, according to the antenna deployment scheme, a first parameter value of the antenna deployment scheme of the target site is obtained by using a preset judgment model.
Wherein the first parameter value is used to characterize the rationality of the day deployment scenario. The first parameter value may be, for example, a rationality score value of the day deployment scenario.
It should be appreciated that the preset decision model may be integrated in the electronic device or in another device. The following embodiments are exemplified by the integration of the preset decision model in the electronic device.
As a possible implementation manner, the decision model may be obtained after the electronic device uses the first sample data set as a training sample and performs neural network model training. Wherein the first sample data set may comprise: at least one set of first training data. Each set of first training data may include: a sample antenna deployment scenario for a sample antenna to be deployed on a sample site, and a first parameter value for the sample antenna deployment scenario.
In the implementation manner, the electronic device can take a sample top deployment scheme to be deployed on the sample site as an input characteristic, take a first parameter value of the sample top deployment scheme as an output characteristic, and perform model training by using a deep neural network (Deep Neural Network, DNN) to obtain the decision model.
The antenna deployment scheme of the sample antenna to be deployed on the sample site may be, for example: an antenna is arranged at a station A of an urban area in a station scene, the antenna is arranged on a first platform of a holding pole, the hanging height is 25 meters, the downward inclination angle of the antenna is 15 degrees, the downward inclination angle of the antenna adopts the downward inclination angle of the antenna of the previous generation mobile communication technology, no port exists after the antenna is arranged, and a network-backed antenna is adopted. At this time, the first parameter value of the antenna deployment scenario of the sample antenna may be, for example, 80 minutes.
The first parameter value of the antenna deployment scenario of the sample antenna may be obtained by calculation, that is, the first parameter values of the scenarios of each dimension in the antenna deployment scenario of the sample antenna are calculated respectively, and then the first parameter values of the antenna deployment scenario of the sample antenna are calculated according to the weight relationship according to each dimension.
For example, the dimension discrimination in the antenna deployment scheme of the sample antenna, and the first parameter value calculation of the scheme of each dimension may be: the antenna is mounted on the pole first platform, and the first parameter value for that dimension is 80 minutes. The antenna mount height is above a preset mount height threshold (e.g., 25 meters), then the first parameter value for that dimension is 60 minutes, and the antenna mount height is below the preset mount height threshold, then the first parameter value for that dimension is 50 minutes. And adopting the space resources vacated by the network-backed communication system, wherein the first parameter value of the dimension is 80 minutes, and the first parameter value of the dimension is 50 minutes when the space resources vacated by the network-backed communication system are not adopted. The antenna hanging height is higher than the competing antenna hanging height, the first parameter value of the dimension is 80 minutes, and the antenna hanging height is lower than the competing antenna hanging height, and the first parameter value of the dimension is 60 minutes. The number of remaining ports after the antenna is installed is greater than or equal to a preset port number threshold, the first parameter value of the dimension is 80 minutes, the number of remaining ports after the antenna is installed is less than the preset port number threshold, and the first parameter value of the dimension is 50 minutes. The antenna downtilt angle is 50 minutes along the downtilt angle of the antenna of the previous generation mobile communication technology, and the first parameter value of the dimension is 80 minutes if the antenna downtilt angle is not along the downtilt angle of the antenna of the previous generation mobile communication technology.
The weight relationship may be, for example, that the first parameter value of each dimension bisects the weight.
It should be understood that this step is illustrated by taking the first parameter value of the antenna deployment scenario of the target site obtained by using the preset decision model as an example, and the first parameter value of the antenna deployment scenario of the target site may also be obtained by using the above calculation method, which is not described herein.
S103, outputting a first parameter value of a day deployment scheme of the target site.
For example, the electronic device may send a first parameter value of the antenna deployment scenario of the target site to the terminal of the user, and the terminal may display the first parameter value after receiving the first parameter value.
Alternatively, when the electronic device is provided with a display means (e.g. a screen), the electronic device may also display the first parameter value directly with its display means.
As a possible implementation, the electronic device may directly output the first parameter value. For example, when the first parameter value is a rationality score value for the day deployment scenario, the first parameter value output by the electronic device may be 60 points, 80 points, 90 points, etc.
As another possible implementation manner, the electronic device may output the rationality level corresponding to the first parameter value of the antenna deployment scenario of the target site according to the mapping relationship between the first parameter value and the rationality level, and the first parameter of the antenna deployment scenario of the target site.
For example, when the first parameter value is a reasonability score value of the day deployment scenario, the electronic device may map the reasonability level of the day deployment scenario to "unreasonable" and output the reasonability level when the reasonability score value of the day deployment scenario is less than 60 minutes. Similarly, the electronic device may map the rationality level of the day deployment scenario to "rationality general" when the rationality score value of the day deployment scenario is greater than or equal to 60 points and less than 80 points, and may map the rationality level of the day deployment scenario to "rationality high" when the rationality score value of the day deployment scenario is greater than or equal to 80 points and less than or equal to 100 points.
According to the antenna data processing method, the antenna deployment scheme of the sample antenna to be deployed on the sample site and the first parameter value for representing the reasonability of the antenna deployment scheme of the sample antenna are used as training data, and the judgment model capable of outputting the first parameter value of the antenna deployment scheme of the target site is obtained through training, so that whether the antenna deployment scheme is reasonable or not can be judged by using the judgment model, the reasonability of the antenna deployment scheme is not required to be verified based on the use condition after the installation is completed, the situation of secondary installation of the antenna due to unreasonable scheme is avoided, and the antenna deployment efficiency is improved.
In addition, on the basis of the above embodiment, for the case where the antenna deployment scenario does not meet the rationality requirement, the electronic device may further perform the following operation after outputting the first parameter value of the antenna deployment scenario of the target site:
when the first parameter value represents that the antenna deployment scheme does not meet the rationality requirement, the electronic equipment can optimize and adjust the antenna deployment scheme based on the antenna database of the target site to obtain an optimized antenna deployment scheme.
Wherein, the sky database includes: the use condition of the platform used for installing the sky at the target site and the information of the communication system corresponding to the installed sky at the target site.
The electronic device may acquire, by using a use condition of a platform for installing a sky on a target site, whether the target site has a network-backed antenna occupying the sky installation platform, and may prompt a user to remove the network-backed antenna when the installation platform occupied by the network-backed antenna is higher than the antenna installation platform of the sky deployment scheme of the target site, and replace the antenna installation platform of the sky deployment scheme with the installation platform of the network-backed antenna, thereby improving the antenna installation platform of the sky deployment scheme.
According to the antenna data processing method, when the first parameter value represents that the antenna deployment scheme does not meet the rationality requirement, the antenna deployment scheme is optimally adjusted based on the antenna database of the target station address, so that the condition of optimally adjusting the antenna deployment scheme through manual on-site investigation and test optimization is reduced, and the efficiency of optimally adjusting the antenna deployment scheme is further improved.
The above operation may be actively performed when the electronic device indicates that the antenna deployment scheme does not meet the rationality requirement based on the first parameter value, or may be performed when the electronic device receives an instruction triggered when the user indicates that the antenna deployment scheme does not meet the rationality requirement based on the first parameter value, which is not limited.
The above embodiment describes how a specific scheme of whether the day deployment scheme satisfies the first parameter value of the rationality requirement is obtained using the decision model. It should be understood that if the downward inclination angle of the antenna in the antenna deployment scheme is unreasonable, the operation and maintenance personnel needs to pass the actual network engineering test to obtain a reasonable downward inclination angle, and then the antenna downward inclination angle is debugged again by going up the tower again. The method has the problems of low downward inclination angle adjustment efficiency and high labor consumption.
Thus, as a possible implementation manner, the training data set for training the decision model further includes a second parameter value for characterizing the reasonability of the antenna downtilt in the antenna deployment scheme, so that the decision model further has an antenna downtilt reasonability determination function.
For example, on the basis of the above embodiment, that is, each set of first training data may include, in addition to the antenna deployment scheme of the sample antenna to be deployed on the sample site, the first parameter value of the antenna deployment scheme of the sample antenna, a second parameter value of the antenna deployment scheme of the sample antenna.
Wherein the second parameter value is used to characterize the rationality of the antenna downtilt in the antenna deployment scenario. The second parameter value may be, for example, a rationality score value for the downtilt of the antenna. Or, the electronic device may further directly output the rationality determination result of the antenna downtilt angle based on the mapping relationship between the second parameter value and the rationality determination result. For example, when the second parameter value is smaller than the preset threshold, the electronic device may output a determination result that the downtilt angle is unreasonable, and when the second parameter value is greater than or equal to the preset threshold, the electronic device may output a determination result that the downtilt angle is reasonable.
For example, after the above-mentioned decision model determines that the antenna downtilt angle is unreasonable, the electronic device may optimize the antenna downtilt angle by using a downtilt angle optimization model. It should be understood that the execution body for training the downtilt angle optimization model may be an electronic device for executing the antenna data processing method, or may be other electronic devices with model training capabilities, which is not limited in this application.
In the following, taking an executing body for training the downward inclination angle optimization model and an executing body for executing the antenna data processing method as an example of the same electronic device, an exemplary description is given of the above training method of the downward inclination angle optimization model.
Illustratively, the downtilt optimization model is trained using the second sample data set.
As one possible implementation, the second sample data set includes: at least one set of second training data. Wherein each set of second training data comprises: information related to the downtilt angle of the sample antenna to be deployed in the antenna database of the sample site, and the downtilt angle of the sample antenna to be deployed after optimization and adjustment. The sky database includes: the use of the platform for installing the sky at the site, and the information of the communication system corresponding to the installed sky at the site.
The information related to the downtilt angle of the antenna surface of the sample to be deployed in the antenna surface database may include, for example: the down dip angle of the antenna of the previous generation mobile communication technology at each site, the distance between the base stations on the antenna to be deployed, the scene corresponding to each site, the frequency band difference between the mobile communication system of the previous generation and the communication system to be deployed, and the like. The down dip angle after the sample antenna surface optimization adjustment to be deployed is the down dip angle obtained by adjustment after the factors such as actual installation scene, user density, signal interference and the like are considered through actual network engineering test.
The electronic device may take information related to the downtilt angle of the antenna of the sample to be deployed in the antenna database as an input feature, take the downtilt angle of the antenna of the sample to be deployed after optimization adjustment as an output feature, and perform model training by using DNN to obtain a downtilt angle optimization model.
The electronic device may also divide the second training data into training samples and verification samples in a proportion to verify the accuracy of the downtilt optimization model, for example. For example, the electronic device may divide the sample data in a 7:3 ratio, divide 70% of the sample data into training samples, and divide another 30% of the sample data into verification samples.
Optionally, when there is an adjacent site belonging to the same communication system as the sample site to be deployed within the preset range of the sample site, each set of second training data may further include: the spacing of the sample site from the adjacent site. The antenna deployed on the adjacent site belongs to the same communication system as the sample antenna to be deployed at the sample site. For example, when the sample antenna to be deployed at the sample site is a 5G communication system, the antenna deployed at the adjacent site is also a 5G communication system.
In this implementation manner, according to the information related to the downtilt angle in the antenna database of the target site, a preset downtilt angle optimization model is utilized to obtain the downtilt angle after optimization adjustment, including: and obtaining the optimized and adjusted downward inclination angle by using a preset downward inclination angle optimizing model according to the information related to the downward inclination angle in the antenna surface database of the target station address and the distance between the target station address and the adjacent station address.
Optionally, if the electronic device trains the downtilt optimization model, the electronic device may perform data normalization processing on the information related to the downtilt in the antenna database of the target site and the distance between the target site and the adjacent site, and then input the information related to the downtilt in the antenna database of the target site after normalization processing and the distance between the target site and the adjacent site to the downtilt optimization model, so as to obtain the downtilt after optimization adjustment.
For example, the electronic device may map the scene text to digital data to achieve normalization of the scene data. For example, the electronic device may map "urban scenes" to a number "0", "county scenes" to a number "1", "village scenes" to a number "2", and "rural scenes" to a number "3".
By carrying out normalization processing on the second training data, the information related to the downward inclination angle of the sample to be deployed in the antenna database of the normalized sample site can be limited in a certain range, and the downward inclination angle of the sample to be deployed after the optimization adjustment of the antenna is limited in a certain range, so that adverse effects caused by singular sample data are eliminated.
In this implementation, the training dataset of the training decision model further includes a second parameter value for characterizing the rationality of the antenna downtilt in the antenna deployment scenario, the decision model further having an antenna downtilt rationality determination function. Therefore, the step S102 specifically includes: and acquiring a first parameter value and a second parameter value of the antenna deployment scheme of the target site by using a preset judgment model according to the antenna deployment scheme of the target site. Accordingly, in this implementation manner, S103 specifically includes: first and second parameter values of a day deployment plan for a target site are output.
When the rationality of the antenna downtilt represented by the second parameter value of the antenna deployment scheme of the target site does not meet the rationality requirement, the electronic device may obtain the downtilt of the antenna to be deployed after optimization adjustment by using a preset downtilt optimization model according to information related to the downtilt of the antenna to be deployed in the antenna database of the target site. Alternatively, the electronic device may wait for the user to reenter the antenna downtilt angle satisfying the rationality requirement after outputting the second parameter value.
For example, the electronic device may update the antenna deployment plan of the target site with the adjusted downward inclination angle of the antenna to be deployed, to obtain an optimized antenna deployment plan. Or, the electronic device may output the downtilt angle after the antenna optimization adjustment to be deployed, where the user indicates whether to update the antenna deployment scheme of the target site with the downtilt angle after the antenna optimization adjustment to be deployed.
According to the antenna data processing method, information related to the downtilt angle of the antenna of the sample to be deployed in the antenna database of the sample site and the downtilt angle of the antenna of the sample to be deployed after optimization adjustment are used as sample data, and the downtilt angle optimization model is obtained through training, so that when the judgment model is used for judging that the arrangement of the antenna downtilt angle of the antenna deployment scheme of the target site does not meet the rationality requirement, the downtilt angle optimization model can be used for obtaining the downtilt angle of the antenna to be deployed after optimization adjustment, and then the downtilt angle arrangement mode in the antenna deployment scheme is optimized, the rationality of the downtilt angle arrangement of the antenna deployment scheme is improved, reasonable downtilt angles are not required to be obtained through actual network engineering test, the situation that the antenna downtilt angle is debugged again on a tower is reduced, and further the downtilt angle adjustment efficiency is improved, and manpower consumption is reduced.
Next, the above-described sky data processing method will be described by way of a specific example.
Fig. 3 is a schematic flowchart of a specific example of a method for processing antenna data according to an embodiment of the present application. Fig. 3 is an exemplary presentation of a 5G day deployment example. Fig. 3 is an example of the electronic device calculating a first parameter value of a antenna deployment scheme of a target site, where an antenna in the antenna deployment scheme is installed on a first platform of a holding pole, where an antenna hanging height is higher than a preset hanging height threshold, where antenna resources vacated by a network-backed communication system are adopted, where an antenna hanging height is higher than a competing antenna hanging height, where a remaining number of ports after the antenna is installed is smaller than a preset number of ports threshold, and where an antenna downtilt angle is along with a downtilt angle of an antenna of a previous generation mobile communication technology.
As shown in fig. 3, this specific example may include:
s201, the electronic equipment acquires a 5G day deployment scheme of the target site.
S202, the electronic equipment calculates to obtain a first parameter value of 66 minutes and a second parameter value of 50 minutes of the 5G day deployment scheme.
S203, the electronic equipment outputs the rationality level of the 5G day deployment scheme as "rationality general".
S204, the electronic equipment outputs the judgment result of the rationality of the downtilt angle of the 5G day deployment scheme as 'unreasonable downtilt angle'.
S205, the electronic equipment obtains the declination angle after the 5G antenna deployment scheme is optimized by using the declination angle model, and updates the 5G antenna deployment scheme by using the optimized declination angle.
And S206, the electronic equipment optimizes and adjusts the 5G day deployment scheme updated by the downtilt based on the 5G day database of the target station address to obtain an optimized 5G day deployment scheme.
Fig. 4 is a schematic structural diagram of a sky data processing device according to an embodiment of the present application. As shown in fig. 4, the sky data processing device includes: a first acquisition module 21, a second acquisition module 22 and an output module 23. Illustratively, the antenna data processing apparatus may further include: a third acquisition module 24, and/or an update module 25, and/or an optimization module 26. Wherein:
a first obtaining module 21, configured to obtain a weather deployment scenario of a target site;
the second obtaining module 22 is configured to obtain, according to the antenna deployment scenario, a first parameter value of the antenna deployment scenario of the target site by using a preset decision model, where the first parameter value is used to characterize rationality of the antenna deployment scenario; the decision model is obtained by training with a first sample data set, wherein the first sample data set comprises: at least one set of first training data, each set of first training data comprising: a sample antenna deployment scenario for a sample antenna to be deployed on a sample site, and a first parameter value for the sample antenna deployment scenario;
An output module 23, configured to output a first parameter value of the antenna deployment scenario of the target site. Illustratively, the output module 23 may output the rationality level corresponding to the first parameter value of the antenna deployment scenario of the target site according to the mapping relationship between the first parameter value and the rationality level, and the first parameter of the antenna deployment scenario of the target site.
Optionally, each set of first training data further comprises: and a second parameter value of the antenna deployment scheme of the sample antenna, wherein the second parameter value is used for representing the rationality of the antenna downtilt angle in the antenna deployment scheme. In this case, the second obtaining module 22 is specifically configured to obtain, according to the antenna deployment scenario of the target site, the first parameter value and the second parameter value of the antenna deployment scenario of the target site by using a preset decision model. The output module 23 is specifically configured to output the first parameter value and the second parameter value of the antenna deployment scenario of the target site.
Optionally, the third obtaining module 24 is configured to obtain, according to information related to the downtilt angle of the antenna to be deployed in the antenna database of the target site, a preset downtilt angle optimization model after the output module 23 outputs the first parameter value and the second parameter value of the antenna deployment scheme of the target site, and when the second parameter value of the antenna deployment scheme of the target site characterizes that the rationality of the downtilt angle of the antenna does not meet the rationality requirement, the downtilt angle after optimization adjustment of the antenna to be deployed. The downtilt optimization model may be obtained by training a second sample data set, where the second sample data set includes: at least one set of second training data, each set of second training data comprising: information related to the downward inclination angle of the sample to be deployed in a sample station site antenna database, and the downward inclination angle of the sample to be deployed after optimization and adjustment; the sky database includes: the use of the platform for installing the sky at the site, and the information of the communication system corresponding to the installed sky at the site.
In this implementation, the updating module 25 is configured to update the antenna deployment scenario of the target site by using the adjusted downtilt angle of the antenna to be deployed, so as to obtain an optimized antenna deployment scenario.
Further, each set of second training data further includes: the spacing between the sample site and the adjacent site, the antenna surface deployed on the adjacent site and the sample antenna surface to be deployed by the sample site belong to the same communication system. The third obtaining module 24 may specifically obtain the downtilt angle after optimization adjustment according to the information related to the downtilt angle in the antenna database of the target site and the distance between the target site and the adjacent site by using a preset downtilt angle optimization model. For example, the third obtaining module 24 may perform data normalization processing on the information related to the downtilt angle in the antenna database of the target site and the distance between the target site and the adjacent site, and then input the information related to the downtilt angle in the antenna database of the target site after normalization processing and the distance between the target site and the adjacent site into the downtilt angle optimization model, to obtain the optimized downtilt angle after optimization.
Optionally, the optimizing module 26 may perform, after the outputting module 23 outputs the first parameter value of the antenna deployment scenario of the target site, and when the first parameter value indicates that the antenna deployment scenario does not meet the rationality requirement, optimization adjustment on the antenna deployment scenario based on the antenna database of the target site, to obtain an optimized antenna deployment scenario. Wherein, the sky database includes: the use condition of the platform used for installing the sky at the target site and the information of the communication system corresponding to the installed sky at the target site.
The implementation principle and the technical effect of the antenna data processing device provided by the application are similar to those of the embodiment of the antenna data processing method, and the detailed description is omitted.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 5, the electronic device 400 may include: at least one processor 401 and a memory 402.
A memory 402 for storing a program. In particular, the program may include program code including computer-operating instructions.
The memory 402 may include high-speed random access memory (Random Access Memory, RAM) and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 401 is configured to execute computer-executable instructions stored in the memory 402 to implement the method for processing antenna data described in the foregoing method embodiment. The electronic device may be, for example, an electronic device in the above-described method embodiment. The processor 401 may be a central processing unit (Central Processing Unit, CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
Optionally, the electronic device 400 may also include a communication interface 403. In a specific implementation, if the communication interface 403, the memory 402, and the processor 401 are implemented independently, the communication interface 403, the memory 402, and the processor 401 may be connected to each other by a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. Buses may be divided into address buses, data buses, control buses, etc., but do not represent only one bus or one type of bus.
Alternatively, in a specific implementation, if the communication interface 403, the memory 402, and the processor 401 are integrated on a chip, the communication interface 403, the memory 402, and the processor 401 may complete communication through internal interfaces.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a RAM Memory, a magnetic disk, or an optical disk, specifically, the computer-readable storage medium stores program instructions for the method in the above embodiment.
The present application also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the electronic device may read the execution instructions from the readable storage medium, and execution of the execution instructions by the at least one processor causes the electronic device to implement the antenna data processing method provided by the various embodiments described above.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (8)
1. A method of processing antenna data, the method comprising:
acquiring a day deployment scheme of a target site;
according to the antenna deployment scheme, a first parameter value of the antenna deployment scheme of the target site is obtained by using a preset judgment model, wherein the first parameter value is used for representing the rationality of the antenna deployment scheme; the decision model is obtained by training with a first sample data set, and the first sample data set comprises: at least one set of first training data, each set of first training data comprising: a sample antenna deployment scenario for a sample antenna to be deployed on a sample site, and a first parameter value for the sample antenna deployment scenario;
Outputting a first parameter value of a day deployment scenario of the target site;
the first training data of each set further includes: a second parameter value of a antenna deployment plan of the sample antenna, the second parameter value being used to characterize the rationality of antenna downtilt in the antenna deployment plan;
the obtaining, according to the antenna deployment scheme of the target site, a first parameter value of the antenna deployment scheme of the target site by using a preset decision model includes:
according to the antenna deployment scheme of the target site, a first parameter value and the second parameter value of the antenna deployment scheme of the target site are obtained by using a preset judgment model;
the outputting the first parameter value of the antenna deployment scenario of the target site includes:
outputting a first parameter value and a second parameter value of a day deployment scenario of the target site;
after the first parameter value and the second parameter value of the antenna deployment scheme of the target site are output, the method further comprises:
if the rationality of the antenna downtilt represented by the second parameter value of the antenna deployment scheme of the target site does not meet the rationality requirement, acquiring the downtilt of the antenna to be deployed after optimization adjustment by using a preset downtilt optimization model according to the information related to the downtilt of the antenna to be deployed in the antenna database of the target site; the downtilt optimization model is obtained by training by adopting a second sample data set, and the second sample data set comprises: at least one set of second training data, each set of second training data comprising: information related to the downward inclination angle of the sample to be deployed in a sample station site antenna database, and the downward inclination angle of the sample to be deployed after optimization and adjustment; the sky database comprises: the use condition of the platform used for installing the sky at the station address and the information of the communication system corresponding to the installed sky at the station address;
And updating the antenna deployment scheme of the target station address by using the downward inclination angle after the antenna optimization adjustment to be deployed, so as to obtain the optimized antenna deployment scheme.
2. The method of claim 1, wherein each set of second training data further comprises: the space between a sample site and an adjacent site, wherein the antenna surface deployed on the adjacent site and the sample antenna surface to be deployed on the sample site belong to the same communication system;
the obtaining the optimized adjusted downward inclination angle by using a preset downward inclination angle optimizing model according to the information related to the downward inclination angle in the antenna database of the target station site comprises the following steps:
and obtaining the optimized and adjusted downward inclination angle by using a preset downward inclination angle optimizing model according to the information related to the downward inclination angle in the antenna surface database of the target site and the distance between the target site and the adjacent site.
3. The method according to claim 2, wherein the obtaining the optimized adjusted downtilt angle according to the information related to the downtilt angle in the antenna database of the target site and the distance between the target site and the adjacent site by using a preset downtilt angle optimization model includes:
Carrying out data normalization processing on information related to the downward inclination angle in a weather database of the target station address and the distance between the target station address and the adjacent station address;
and inputting the information related to the downward inclination angle in the antenna surface database of the target station address after normalization processing and the distance between the target station address and the adjacent station address into the downward inclination angle optimization model to obtain the downward inclination angle after optimization and adjustment.
4. A method according to any one of claims 1-3, wherein after said outputting the first parameter values of the antenna deployment plan of the target site, further comprises:
if the first parameter value represents that the antenna deployment scheme does not meet the rationality requirement, the antenna deployment scheme is optimized and adjusted based on an antenna database of the target site, and an optimized antenna deployment scheme is obtained;
wherein, the sky database includes: and the target site is used for installing the information of the use condition of the platform on the sky and the communication system corresponding to the installed sky.
5. A method according to any of claims 1-3, wherein said outputting a first parameter value of a day deployment scenario for the target site comprises:
And outputting the rationality level corresponding to the first parameter value of the top deployment scheme of the target station according to the mapping relation between the first parameter value and the rationality level and the first parameter of the top deployment scheme of the target station.
6. A sky data processing device, the device comprising:
the first acquisition module is used for acquiring a weather deployment scheme of the target station address;
the second acquisition module is used for acquiring a first parameter value of the antenna deployment scheme of the target site by utilizing a preset judgment model according to the antenna deployment scheme, wherein the first parameter value is used for representing the rationality of the antenna deployment scheme; the decision model is obtained by training with a first sample data set, and the first sample data set comprises: at least one set of first training data, each set of first training data comprising: a sample antenna deployment scenario for a sample antenna to be deployed on a sample site, and a first parameter value for the sample antenna deployment scenario;
the output module is used for outputting a first parameter value of a day deployment scheme of the target station address;
each set of first training data further comprises: a second parameter value of a antenna deployment plan of the sample antenna, the second parameter value being used to characterize the rationality of antenna downtilt in the antenna deployment plan;
The second acquisition module is specifically configured to acquire, according to a weather deployment scenario of the target site, a first parameter value and the second parameter value of the weather deployment scenario of the target site by using a preset decision model;
the output module is specifically used for outputting a first parameter value and a second parameter value of the antenna deployment scheme of the target site;
the third acquisition module is used for acquiring the declination angle of the antenna to be deployed after the first parameter value and the second parameter value of the antenna deployment scheme of the target site are output by the output module, if the rationality of the declination angle of the antenna represented by the second parameter value of the antenna deployment scheme of the target site does not meet the rationality requirement, acquiring the declination angle of the antenna to be deployed after optimization adjustment by utilizing a preset declination angle optimization model according to the information related to the declination angle of the antenna to be deployed in the antenna database of the target site; the downtilt optimization model is obtained by training by adopting a second sample data set, and the second sample data set comprises: at least one set of second training data, each set of second training data comprising: information related to the downward inclination angle of the sample to be deployed in a sample station site antenna database, and the downward inclination angle of the sample to be deployed after optimization and adjustment; the sky database comprises: the use condition of the platform used for installing the sky at the station address and the information of the communication system corresponding to the installed sky at the station address;
And the updating module is used for updating the antenna deployment scheme of the target station address by using the antenna to be deployed to optimize the adjusted downward inclination angle, so as to obtain the optimized antenna deployment scheme.
7. An electronic device, the electronic device comprising: at least one processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to implement the method of any one of claims 1-5.
8. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-5.
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