CN113055897A - Method, system and storage medium for positioning weak coverage area of base station antenna - Google Patents

Method, system and storage medium for positioning weak coverage area of base station antenna Download PDF

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CN113055897A
CN113055897A CN202110245901.7A CN202110245901A CN113055897A CN 113055897 A CN113055897 A CN 113055897A CN 202110245901 A CN202110245901 A CN 202110245901A CN 113055897 A CN113055897 A CN 113055897A
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base station
area
station antenna
antenna
obtaining
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CN113055897B (en
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江子义
周文略
翟懿奎
王天雷
梁艳阳
廖锦锐
刘始匡
张俊亮
詹英培
苏远鹏
黄俊威
黎繁胜
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Wuyi University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract

The invention discloses a method, a system and a storage medium for positioning a weak coverage area of a base station antenna, wherein the method comprises the steps of collecting coordinate values, a hanging height value and an image of the base station antenna by an unmanned aerial vehicle, and obtaining a pitch angle value by a processing device according to the image; obtaining the coverage radius and further the coverage range of the base station antenna according to the hanging height value, the pitching angle value and the vertical half-power angle; obtaining a weak coverage area in the measurement area according to the coverage areas of a plurality of base station antennas in the measurement area; the method can accurately, effectively and quickly obtain the weak coverage area in the measurement area, saves the labor cost, gets rid of the terrain limitation, and can effectively improve the base station construction accuracy and the blind area compensation rate.

Description

Method, system and storage medium for positioning weak coverage area of base station antenna
Technical Field
The invention relates to the field of base station antenna measurement, in particular to a method, a system and a storage medium for positioning a weak coverage area of a base station antenna.
Background
The weak coverage area is an area where the signal strength of the communication network cannot meet the normal communication requirement of the user, and is usually a range which cannot be covered by the base station. In the past, the weak coverage area is generally determined by manually detecting the area signal, so that the weak coverage area is subjected to blind compensation in the following process, and the signal full coverage is ensured. However, the manual detection consumes a large amount of labor and has low efficiency.
Disclosure of Invention
The present invention is directed to at least one of the technical problems in the prior art, and provides a method, a system and a storage medium for positioning a weak coverage area of a base station antenna.
The technical scheme adopted by the invention for solving the problems is as follows:
in a first aspect of the present invention, a method for positioning a weak coverage area of a base station antenna includes the following steps:
obtaining coordinate values of a base station antenna through coordinate measuring equipment on the unmanned aerial vehicle;
obtaining a hanging height value of the base station antenna through hanging height measuring equipment on the unmanned aerial vehicle;
acquiring an image of the base station antenna through image shooting equipment on the unmanned aerial vehicle, and measuring according to the image to obtain a pitch angle value of the base station antenna;
obtaining the coverage radius of the base station antenna according to the hanging height value, the pitching angle value and the vertical half-power angle of the base station antenna, and obtaining the coverage range of the base station antenna according to the coverage radius and the coordinate value;
and obtaining a weak coverage area in the measurement area according to the coverage areas of the plurality of base station antennas in the measurement area.
According to the first aspect of the present invention, obtaining the pitch angle value of the base station antenna according to the image measurement specifically includes the following steps:
identifying an antenna area in the image and performing mask processing on the antenna area;
and fitting a pitch angle straight line according to the mask of the antenna area, and obtaining the pitch angle value according to the pitch angle straight line.
According to the first aspect of the present invention, the step of identifying the antenna area in the image and performing the masking process on the antenna area specifically includes:
extracting features from the image, and converting the features into a feature map;
the characteristic diagram is subjected to drawing into a position tensor, and a position coding is carried out through a coder to obtain a coding matrix;
obtaining the global relation between the antenna and the background object in the image according to the position tensor and the coding matrix, and performing parallel decoding through a decoder to obtain a detection frame;
and identifying the antenna area according to the detection frame, and performing mask processing on the antenna area.
According to the first aspect of the present invention, the method for positioning the weak coverage area of the base station antenna further comprises the following steps:
calculating a loss function for the model subjected to the masking processing; wherein the loss function is used to minimize the distance between the predicted result and the real target under the optimal matching mapping condition.
In a second aspect of the present invention, a system for positioning a weak coverage area of a base station antenna includes:
the unmanned aerial vehicle is provided with coordinate measuring equipment, height hanging measuring equipment and shooting equipment, wherein the coordinate measuring equipment is used for obtaining coordinate values of the base station antenna, the height hanging measuring equipment is used for obtaining a height hanging value of the base station antenna, and the shooting equipment is used for obtaining an image of the base station antenna;
the processing equipment comprises a pitch angle value calculation module, a coverage radius calculation module, a coverage range calculation module and a weak coverage area calculation module; the pitching angle value calculating module is used for obtaining a pitching angle value of the base station antenna according to the image measurement; the coverage radius calculation module is used for obtaining the coverage radius of the base station antenna according to the hanging height value, the pitching angle value and the vertical half-power angle of the base station antenna; the coverage area calculation module is used for obtaining the coverage area of the base station antenna according to the coverage radius and the coordinate value; the weak coverage area calculation module is used for obtaining a weak coverage area in the measurement area according to the coverage areas of the plurality of base station antennas in the measurement area.
According to a second aspect of the invention, the pitch value calculation module comprises:
the mask module is used for identifying the antenna area in the image and performing mask processing on the antenna area;
and the fitting module is used for fitting a pitch angle straight line according to the mask of the antenna area and obtaining the pitch angle value according to the pitch angle straight line.
According to a second aspect of the invention, the mask module comprises:
the characteristic extraction module is used for extracting characteristics from the image and converting the characteristics into a characteristic diagram;
the encoder is used for drawing the characteristic graph into a position tensor, and performing position encoding to obtain an encoding matrix;
the decoder is used for obtaining the global relation between the antenna and the background object in the image according to the position tensor and the coding matrix, and performing parallel decoding to obtain a detection frame;
and the classification module is used for identifying the antenna area according to the detection frame and performing mask processing on the antenna area.
According to a second aspect of the invention, the mask module further comprises a loss function calculation module for calculating a loss function; wherein the loss function is used to minimize the distance between the predicted result and the real target under the optimal matching mapping condition.
According to a second aspect of the present invention, the base station antenna weak coverage area positioning system further comprises an output device for outputting the graphically represented measurement area, the coverage area and the weak coverage area.
In a third aspect of the present invention, a storage medium stores instructions executable by a processor, where the instructions are executed by the processor to implement the method for positioning a weak coverage area of a base station antenna according to the first aspect of the present invention.
The scheme at least has the following beneficial effects: the coordinate value of base station antenna, hang relevant data such as high value and image through unmanned aerial vehicle quick acquisition, the cooperation can carry out the processing equipment that a large amount of data calculate fast, can accurately effectively and obtain the weak coverage area in the measurement area fast, practices thrift the human cost, breaks away from the topography restriction, reduces the measurement degree of difficulty for measurement efficiency can promote basic station construction accurate rate and benefit blind rate effectively.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a flowchart illustrating a method for positioning a weak coverage area of a base station antenna according to an embodiment of the present invention;
fig. 2 is a structural diagram of a positioning system for a weak coverage area of a base station antenna according to an embodiment of the present invention;
fig. 3 is a block diagram of a pitch angle value calculation module.
Detailed Description
Reference will now be made in detail to the present preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like elements throughout.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as the upper, lower, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
Referring to fig. 1, an embodiment of a first aspect of the present invention provides a method for positioning a weak coverage area of a base station antenna.
The method for positioning the weak coverage area of the base station antenna comprises the following steps:
step S100, obtaining coordinate values of a base station antenna through coordinate measuring equipment 110 on the unmanned aerial vehicle 100;
step S200, obtaining a hanging height value of the base station antenna through the hanging height measuring equipment 120 on the unmanned aerial vehicle 100;
step S300, acquiring an image of the base station antenna through the image shooting device 130 on the unmanned aerial vehicle 100, and obtaining a pitch angle value of the base station antenna according to image measurement;
s400, obtaining the coverage radius of the base station antenna according to the hanging height value, the pitching angle value and the vertical half-power angle of the base station antenna, and obtaining the coverage range of the base station antenna according to the coverage radius and the coordinate value;
step S500, according to the coverage range of a plurality of base station antennas in the measuring area, obtaining a weak coverage area in the measuring area.
In this embodiment, the drone 100 is controlled to fly to the base station antenna to be measured. Gather the coordinate value of basic station antenna, hang relevant data such as high value and image through unmanned aerial vehicle 100 fast, the cooperation can carry out the processing apparatus 200 of a large amount of data fast calculations, can accurately effectively and obtain the weak coverage area in the measurement area fast, practices thrift the human cost, breaks away from the topography restriction, reduces the measurement degree of difficulty for measurement efficiency, can promote basic station construction accurate rate and benefit blind rate effectively.
In some embodiments of the first aspect of the present invention, for step S300, obtaining the tilt angle value of the base station antenna according to the image measurement specifically includes the following steps:
identifying an antenna area in the image and performing mask processing on the antenna area;
and fitting a pitch angle straight line according to the mask of the antenna area, and obtaining a pitch angle value according to the pitch angle straight line.
Further, the step of identifying an antenna area in the image and performing masking processing on the antenna area specifically includes:
extracting features of the image by using a convolutional neural network, and converting the features into a feature graph f belonging to the dimension of BxCxHxWB×C×H×WWherein, B is the number of the prediction frames, C is the number of channels, H is the height of the feature map, and W is the width of the feature map.
Compressing the channel number of the feature map from C to d by using the convolution layer to obtain a new feature map z0∈RB×d×H×W(ii) a The HxW spatial dimension of the new feature map is compressed into one dimension to be listed as (HW, B, d) position tensor, and the position coding is performed by the encoder 214 to obtain the codingA matrix; the position code is specifically as follows: increase in both x-and y-directions
Figure BDA0002964065240000071
Dimension coding, i.e. for (H) on a feature mapi，Wi) Dots in the x direction
Figure BDA0002964065240000072
Dimension coded as WiIn the y-direction
Figure BDA0002964065240000073
Dimension coded as HiThe position of (2) is encoded. In addition, the position code only acts on the query vector and the key-value vector, i.e. the position code is only added to the query vector and the key-value vector. In the feature map, for the 2i dimension and the 2i +1 dimension of the position vector of pos + k position, it can be expressed as a linear combination of four quantities, namely the 2i dimension of the position vector of pos position, the 2i +1 dimension of the position vector of pos position, the 2i dimension of the position vector of k position, and the 2i +1 dimension of the position vector of k position, which means that relative position information is embedded in the absolute position in the position vector, so that the model focuses more on subspace information from different representations of different positions, i.e. antenna regions in the image.
Taking the position tensor and the coding matrix as the input of the decoder 215, obtaining the global relationship between the antenna and the background object in the image according to the position coding learning, and performing parallel decoding through a plurality of decoding layers of the decoder 215 to obtain a plurality of detection frames;
classifying according to the detection box by using two feedforward neural networks, outputting (class, Bbox) results for an antenna area, and outputting results for a background area
Figure BDA0002964065240000081
As a result, an antenna region is identified after normalization processing; and performing mask processing on the antenna area.
Some embodiments of the first aspect of the present invention, a method for positioning a weak coverage area of a base station antenna, further includes the following steps:
calculating a loss function for the masked model to optimize the masked model; wherein the loss function is used to minimize the distance between the predicted result and the real target under the optimal matching mapping condition.
Specifically, in the mask module 211 that performs the mask process, the prediction result is represented as y ═ y (class1, Bbox1), and the true target is represented as
Figure BDA0002964065240000082
Input as a complete bipartite graph
Figure BDA0002964065240000083
Step S1, let the boundary value l (y)i)＝mini(cij) The construction matrix B ═ Bii) Wherein b isij＝cij-l(yi) (ii) a Let boundary value
Figure BDA0002964065240000084
The matrix B is updated and the matrix B is updated,
Figure BDA0002964065240000085
step S2, performing minimum coverage on 0 elements in the matrix B, where the number of coverage is r, and if r is equal to n, transferring to step S5;
step S3, selecting the minimum element delta from the covered elements, and considering all the elements B in BijIf the ith row and the jth column are both covered, bij←bij+ δ; if neither the ith row nor the jth column is covered, bij←bij-δ；
Step S4, modifying the label value of each row and column: if the ith row is not covered, then l (y)i)←l(yi) + δ if row i is covered
Figure BDA0002964065240000091
Deleting all the covering marks of the matrix B, and turning to the step S2;
step S5, obtaining an optimal matching mapping sigma; for the best match mapping σ, the row and column corresponding to the 0 element isThe optimal unique matching of the predicted result and the real target is realized at the cost
Figure BDA0002964065240000092
The output of the mask model is unordered, and the optimal matching mapping is searched from the N arrangement combination of the prediction result and the real target through the steps so that the prediction result can be linearly mapped to the real target in a one-to-one correspondence in the space, and the optimal matching mapping is obtained through the steps
Figure BDA0002964065240000093
The distance between the prediction result and the real target under the optimal matching mapping condition is minimized. In the formula (I), the compound is shown in the specification,
Figure BDA0002964065240000094
indicating the presence of the detection target or targets,
Figure BDA0002964065240000095
for c representsiIs predicted probability of, λiou,λL1Are all setting parameters.
In some embodiments of the first aspect of the present invention, fitting a pitch angle line according to the mask of the antenna region by hough transform and least square method specifically includes the following steps:
obtain data point M ═ x (x) along the line under the maski,yi)T,(i＝1,2,...,s)；
Hough transform rho is carried out on coordinate set Mk＝xicosθk+yisinθk(i 1,2.. s.; k 1,2.. s.), where θkThe value range is [ -90 DEG ], 180 DEG]；
Finding out the point set near the fitting straight line
Figure BDA0002964065240000101
Will rhok＝xicosθk+yisinθkChange to yi＝akxi+bkWherein
Figure BDA0002964065240000102
Computing point-to-y in MiLinear distance of
Figure BDA0002964065240000103
If d iski＜dkThen
Figure BDA0002964065240000104
dkIs an error threshold;
Figure BDA0002964065240000105
to meet an error threshold dkThe point set near the kth Hough transform straight line;
set of points
Figure BDA0002964065240000106
To fit each line, a line equation y is derivedi＝akxi+bkParameter (d) of
Figure BDA0002964065240000107
Figure BDA0002964065240000108
To be provided with
Figure BDA0002964065240000109
And
Figure BDA00029640652400001010
for the end points, the interval of each straight line segment is determined, i.e.
Figure BDA00029640652400001011
Order to
Figure BDA00029640652400001012
The optimal curve can be obtained
Figure BDA00029640652400001013
The pitch angle value of the antenna is
Figure BDA00029640652400001014
The strong anti-noise capability of Hough transform and the high fitting precision characteristic of the least square method are utilized, the variance is reduced, and the accuracy of antenna fitting is improved.
In some embodiments of the first aspect of the present invention, the coverage radius of the base station antenna is obtained according to the ceiling value H, the pitch angle value ω, and the vertical half-power angle P of the base station antenna, and the coverage radius is
Figure BDA00029640652400001015
It should be noted that the vertical half-power angle P is a parameter determined by the properties of the base station antenna.
Obtaining the coverage range of the base station antenna according to the coverage radius and the coordinate value;
and obtaining a weak coverage area in the measurement area according to the coverage areas of the plurality of base station antennas in the measurement area, wherein the weak coverage area is an area outside the coverage area in the measurement area.
Referring to fig. 2, an embodiment of a second aspect of the present invention provides a base station antenna weak coverage area positioning system.
The base station antenna weak coverage area positioning system comprises:
the unmanned aerial vehicle 100 is provided with a coordinate measuring device 110, a hanging height measuring device 120 and a shooting device 130, wherein the coordinate measuring device 110 is used for obtaining coordinate values of the base station antenna, the hanging height measuring device 120 is used for obtaining hanging height values of the base station antenna, and the shooting device 130 is used for obtaining images of the base station antenna;
the processing device 200, the processing device 200 includes a pitch angle value calculation module 210, a coverage radius calculation module 220, a coverage calculation module 230, and a weak coverage area calculation module 240; the pitch angle value calculation module 210 is configured to obtain a pitch angle value of the base station antenna according to the image measurement; the coverage radius calculation module 220 is configured to obtain a coverage radius of the base station antenna according to the hang height value, the pitch angle value, and the vertical half-power angle of the base station antenna; the coverage calculation module 230 is configured to obtain a coverage of the base station antenna according to the coverage radius and the coordinate value; the weak coverage area calculation module 240 is configured to obtain a weak coverage area in the measurement area according to coverage areas of a plurality of base station antennas in the measurement area.
In this embodiment, gather the coordinate value of basic station antenna, hang relevant data such as high value and image through unmanned aerial vehicle 100 fast, the cooperation can carry out the processing apparatus 200 of a large amount of data fast calculations, can accurately effectively and obtain the weak coverage area in the measurement area fast, practices thrift the human cost, breaks away from the topography restriction, reduces the measurement degree of difficulty for measurement efficiency can promote basic station construction accurate rate and mend blind rate effectively.
Note that the drone 100 carries thereon the coordinate measuring device 110, the hang height measuring device 120, and the photographing device 130. Coordinate measurement device 110 may employ a GPS module. The hang height measurement device 120 may employ an infrared ranging module to measure the distance from the lower edge of the antenna to the ground to obtain a hang height value. The shooting device 130 employs a camera, and the camera is carried by the cradle head of the unmanned aerial vehicle 100.
In addition, after the drone 100 finishes collecting data of one base station antenna, the data of the base station antenna is sent to the processing device 200 through the network for processing, and the drone 100 can fly to another base station antenna to collect data.
Referring to fig. 3, in some embodiments of the second aspect of the present invention, the pitch angle value calculation module 210 comprises:
the mask module 211 is configured to identify an antenna area in the image and perform mask processing on the antenna area;
and the fitting module 212 is configured to fit a pitch angle straight line according to the mask of the antenna region, and obtain a pitch angle value according to the pitch angle straight line.
In certain embodiments of the second aspect of the present invention, the mask module 211 comprises:
the feature extraction module 213 is configured to extract features from the image, and convert the features into a BxCxHxW-dimensional feature map, where B is the number of prediction frames, C is the number of channels, H is the height of the feature map, and W is the width of the feature map;
the encoder 214 is configured to perform permutation on the eigen map into a position tensor, and perform position encoding to obtain an encoding matrix;
the decoder 215 is configured to obtain a global relationship between an antenna and a background object in the image according to the position tensor and the coding matrix, and perform parallel decoding to obtain a detection frame;
and the classification module 216 is configured to identify an antenna area according to the detection frame, and perform mask processing on the antenna area. Specifically, the classification module 216 includes a feedforward neural network and an FPN-style convolutional neural network, the feedforward neural network is used to identify the antenna region according to the detection frame, and the FPN-style convolutional neural network specifies the antenna region to be segmented and generates a mask for the antenna region according to the image with the antenna region by using a multi-head self-attention mechanism with a mask head.
In certain embodiments of the second aspect of the present invention, the mask module 211 further comprises a loss function calculation module for calculating a loss function; the loss function is used to minimize the distance between the predicted result and the real target under the optimal matching mapping condition, thereby optimizing the overall mask module 211.
Certain embodiments of the second aspect of the present invention, the base station antenna weak coverage area positioning system, further comprises an output device for outputting the graphically represented measurement area, coverage area and weak coverage area. Of course, the output device may also output other data, such as a pitch value, a hang-up value, and coordinate values of the base station antenna. This facilitates the engineer to observe and quickly understand the situation. In particular, the output device may employ a display.
The base station antenna weak coverage area positioning system provided by the second aspect of the present invention adopts the base station antenna weak coverage area positioning method provided by the first aspect of the present invention, and each module of the base station antenna weak coverage area positioning system corresponds to each step of the base station antenna weak coverage area positioning method, and has the same technical effect, and is not described in detail herein.
In an embodiment of the third aspect of the invention, a storage medium is provided. The storage medium stores instructions executable by the processor, and the instructions are executed by the processor to implement the method for positioning the weak coverage area of the base station antenna according to the embodiment of the first aspect of the present invention.
Examples of storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means.

Claims (10)

1. A method for positioning a weak coverage area of a base station antenna is characterized by comprising the following steps:
obtaining a coordinate value of the base station antenna through coordinate measuring equipment on the unmanned aerial vehicle;
obtaining a hanging height value of the base station antenna through hanging height measuring equipment on the unmanned aerial vehicle; acquiring an image of the base station antenna through image shooting equipment on the unmanned aerial vehicle, and measuring according to the image to obtain a pitch angle value of the base station antenna;
obtaining the coverage radius of the base station antenna according to the hanging height value, the pitching angle value and the vertical half-power angle of the base station antenna, and obtaining the coverage range of the base station antenna according to the coverage radius and the coordinate value;
and obtaining a weak coverage area in the measurement area according to the coverage areas of the plurality of base station antennas in the measurement area.
2. The method as claimed in claim 1, wherein obtaining the tilt angle value of the base station antenna according to the image measurement specifically comprises the following steps:
identifying an antenna area in the image and performing mask processing on the antenna area;
and fitting a pitch angle straight line according to the mask of the antenna area, and obtaining the pitch angle value according to the pitch angle straight line.
3. The method as claimed in claim 2, wherein the step of identifying the antenna area in the image and performing the masking process on the antenna area specifically comprises:
extracting features from the image, and converting the features into a feature map;
the characteristic diagram is subjected to drawing into a position tensor, and a position coding is carried out through a coder to obtain a coding matrix;
obtaining the global relation between the antenna and the background object in the image according to the position tensor and the coding matrix, and performing parallel decoding through a decoder to obtain a detection frame;
and identifying the antenna area according to the detection frame, and performing mask processing on the antenna area.
4. The method for positioning the weak coverage area of the base station antenna according to claim 2 or 3, further comprising the steps of:
calculating a loss function for the model subjected to the masking processing; wherein the loss function is used to minimize the distance between the predicted result and the real target under the optimal matching mapping condition.
5. A system for locating a weak coverage area of a base station antenna, comprising:
the unmanned aerial vehicle is provided with coordinate measuring equipment, height hanging measuring equipment and shooting equipment, wherein the coordinate measuring equipment is used for obtaining coordinate values of the base station antenna, the height hanging measuring equipment is used for obtaining a height hanging value of the base station antenna, and the shooting equipment is used for obtaining an image of the base station antenna;
the processing equipment comprises a pitch angle value calculation module, a coverage radius calculation module, a coverage range calculation module and a weak coverage area calculation module; the pitching angle value calculating module is used for obtaining a pitching angle value of the base station antenna according to the image measurement; the coverage radius calculation module is used for obtaining the coverage radius of the base station antenna according to the hanging height value, the pitching angle value and the vertical half-power angle of the base station antenna; the coverage area calculation module is used for obtaining the coverage area of the base station antenna according to the coverage radius and the coordinate value; the weak coverage area calculation module is used for obtaining a weak coverage area in the measurement area according to the coverage areas of the plurality of base station antennas in the measurement area.
6. The system of claim 5, wherein the module for calculating the elevation value comprises:
the mask module is used for identifying the antenna area in the image and performing mask processing on the antenna area;
and the fitting module is used for fitting a pitch angle straight line according to the mask of the antenna area and obtaining the pitch angle value according to the pitch angle straight line.
7. The system for positioning the weak coverage area of the base station antenna according to claim 6, wherein the mask module comprises:
the characteristic extraction module is used for extracting characteristics from the image and converting the characteristics into a characteristic diagram;
the encoder is used for drawing the characteristic graph into a position tensor, and performing position encoding to obtain an encoding matrix;
the decoder is used for obtaining the global relation between the antenna and the background object in the image according to the position tensor and the coding matrix, and performing parallel decoding to obtain a detection frame;
and the classification module is used for identifying the antenna area according to the detection frame and performing mask processing on the antenna area.
8. The system for positioning the weak coverage area of the base station antenna according to claim 6 or 7, wherein the mask module further comprises a loss function calculation module, and the loss function calculation module is configured to calculate a loss function; wherein the loss function is used to minimize the distance between the predicted result and the real target under the optimal matching mapping condition.
9. The system of claim 5, further comprising an output device for outputting the graphically represented measurement area, the coverage area, and the weak coverage area.
10. A storage medium storing instructions executable by a processor to implement the base station antenna weak coverage area positioning method according to any one of claims 1 to 4.
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