Wireless communication optimization method and system for 5G shaped antenna in venue

Abstract

The invention discloses a gymnasium 5G shaped antenna wireless communication optimization method and system, and relates to the technical field of gymnasium communication optimization, and the method comprises the following steps: obtaining a first coverage range and first transmission data of a shaped beam signal; acquiring position distribution information of communication equipment; carrying out position distribution processing to obtain equipment distribution change data; constructing a position distribution prediction model for prediction to obtain equipment distribution prediction data; based on the equipment distribution change data, the equipment distribution prediction data and the first transmission data, adjusting and optimizing the coverage position, the coverage range and the signal transmitting power of the shaped beam signal; the method is used for solving the problems that when wireless communication in a venue is optimized on the basis of a 5G shaped antenna, the signal coverage range and the signal strength cannot be dynamically adjusted and optimized according to crowd distribution and possible changes of the crowd distribution in the existing venue communication optimization technology, the communication experience of a user is ensured, and the user experience is improved. And the problem of resource waste is reduced.

Description

Technical Field

[0001] The present invention relates to the field of venue communication optimization technology, and specifically to a venue 5G shaped antenna wireless communication optimization method and system. Background Art

[0002] Venue communication optimization technology refers to the technology that uses advanced communication technology and management methods to improve the communication quality and efficiency in and around large venues to meet the needs of high-density users and diversified applications. The purpose of venue communication optimization technology is to provide high-quality communication services to users in the venue. However, due to the characteristics of open space and dense population in the venue, communication optimization poses a huge challenge.

[0003] Existing venue communication optimization technology is usually based on 5G shaped antennas and adopts a fixed beamforming method. Its coverage range is pre-set, and the power of the transmitted shaped beam signal is optimized. For example, the patent application with publication number CN112383329A discloses a beamforming optimization method based on the ZF algorithm. This method optimizes by adjusting the power of the shaped beam signal transmitted by the antenna. However, in actual scenarios, the crowd changes dynamically, and their position and distribution range in the venue will change with the progress of the activity, rest time, emergencies and other factors; this fixed beam coverage method may cause the signal coverage area to not match the actual distribution of the crowd; for example, during the intermission of the performance, the audience may move from the stands to the rest area and dining area, while the fixed beam may still be concentrated on the stands, making the signal in the rest area and dining area weaker, Blind spots or weak areas of signal coverage affect the user's communication experience and cause waste of resources. In addition, when the distribution of people changes dramatically in a short period of time, such as emergency evacuation, traditional communication optimization methods are difficult to adapt to such sudden changes in a short period of time, which may lead to communication interruption or serious decline in service quality. Moreover, when the existing venue communication optimization technology finds that the signal coverage is poor due to changes in the crowd distribution, it needs to manually adjust the antenna. This process may take a long time, resulting in users being unable to obtain good communication services during this period, and there is an obvious lag. Therefore, when the existing venue communication optimization technology optimizes the wireless communication in the venue based on the 5G shaped antenna, it is unable to dynamically adjust and optimize the signal coverage range and signal strength according to the crowd distribution and possible changes in the crowd distribution, thereby ensuring the user's communication experience while reducing resource waste. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by obtaining a first coverage range and a first transmission data of a shaped beam signal; obtaining the location distribution information of communication equipment within the first coverage range; obtaining device distribution change data based on the location distribution information of the communication equipment; constructing a location distribution prediction model based on the device distribution change data, and performing prediction to obtain device distribution prediction data; and dynamically adjusting and optimizing the coverage position, coverage range and signal transmission power of the shaped beam signal; so as to solve the problem that when the existing venue communication optimization technology optimizes the wireless communication within the venue based on the 5G shaped antenna, it is impossible to dynamically adjust and optimize the signal coverage range and signal strength according to the crowd distribution and possible changes in the crowd distribution, thereby ensuring the user's communication experience while reducing resource waste.

[0005] To achieve the above objectives, in a first aspect, the present application provides a venue 5G shaped antenna wireless communication optimization method, comprising the following steps:

[0006] Obtain a maximum adjustable coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna, mark it as a first coverage range, and obtain first transmission data of the shaped beam signal;

[0007] Obtaining the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information;

[0008] Performing location distribution processing based on the communication device location distribution information to obtain a device distribution center and a first device distribution range, and obtaining device distribution change data;

[0009] Building a location distribution prediction model based on the device distribution change data, and predicting the device distribution center and the first device distribution range to obtain device distribution prediction data;

[0010] Based on the device distribution change data, the device distribution prediction data and the first transmission data, the coverage position, coverage range and signal transmission power of the shaped beam signal are dynamically adjusted and optimized.

[0011] Further, obtaining the maximum adjustable coverage range of the 5G shaped beam signal transmitted by the shaped beam antenna, marked as the first coverage range, includes the following sub-steps:

[0012] Select any point in the venue as the coordinate origin, record it as the first origin, and establish a three-dimensional rectangular coordinate system, record it as the venue space coordinate system, obtain the spatial coordinates of all 5G shaped antennas in the venue in the venue space coordinate system, record it as the antenna position data;

[0013] Obtain the maximum signal coverage range of the shaped beam signal transmitted by the 5G shaped antenna in the venue at the corresponding position, which is recorded as the second coverage range; and obtain the adjustable angle of the 5G shaped antenna, and based on the adjustable angle, obtain the maximum adjustable coverage range of the second coverage range of the shaped beam signal, which is marked as the first coverage range, and the geometric center of the first coverage range is recorded as the first center.

[0014] Further, obtaining first transmission data of the shaped beam signal includes the following sub-steps:

[0015] Evenly arrange n signal transceiver monitoring devices within the first coverage area, and record the spatial coordinates of the signal transceiver monitoring devices in the venue space coordinate system as monitoring device position data;

[0016] The first intensity threshold is set to D0. Based on n signal transceiver monitoring devices, the transmission rate and signal strength of the shaped beam signal are obtained at first time intervals. If the signal strength obtained by a certain signal transceiver monitoring device is greater than the first intensity threshold D0, the corresponding signal transceiver monitoring device is recorded as a valid monitoring device, and the transmission rate and signal strength obtained by the valid monitoring device are recorded, and the time of acquisition is recorded to obtain the first transmission data. The first time interval is T1.

[0017] Further, obtaining the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information, includes the following sub-steps:

[0018] For mobile communication devices in the venue's spatial coordinate system, signals are transmitted to the mobile communication devices through the connected 5G shaping antenna and the signal transceiver monitoring device corresponding to the 5G shaping antenna, and the time difference between the time when the mobile communication device receives the signal and the time when the corresponding signal is transmitted is obtained. The spatial distance between the 5G shaping antenna and the mobile communication device is calculated based on the time difference, which is recorded as B1. The distances between any three corresponding signal transceiver monitoring devices and the mobile communication device are calculated based on the time difference, which are recorded as B2, B3 and B4 respectively;

[0019] Based on the antenna position data and the monitoring equipment position data, the spatial positions of the 5G shaped antennas and signal transceiver monitoring equipment corresponding to B1, B2, B3 and B4 are obtained, and are recorded as A1 (x1, y1, z1), A2 (x2, y2, z2), A3 (x3, y3, z3) and A4 (x4, y4, z4) in order.

[0020] Further, obtaining the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information, includes the following sub-steps:

[0021] The mobile communication device position equation group is established and solved to obtain the spatial position (x0, y0, z0) of the mobile communication device; the mobile communication device position equation group is as follows:

[0022]

[0023] Repeatedly obtain the location information of the mobile communication devices in the spatial coordinate system of all venues and record it as the communication device location data;

[0024] The floor height range is set according to the spatial position of the first origin and the floor height of the venue, and the location information of the mobile communication devices that are on the same floor as the first coverage range and within the first coverage range in the communication equipment location data are filtered according to the floors covered by the first coverage range, and recorded as the communication equipment location distribution information.

[0025] Further, performing location distribution processing based on the communication device location distribution information to obtain the device distribution center and the first device distribution range, and obtaining device distribution change data includes the following sub-steps:

[0026] Removing the height coordinates of all coordinate information in the communication device location distribution information to obtain the communication device plane location information;

[0027] Based on the plane position information of the communication device, the horizontal coordinates of all the plane coordinates are extracted and sorted from small to large, which are recorded as the first sequence of horizontal coordinates; at the same time, the vertical coordinates of all the plane coordinates are extracted and sorted from small to large, which are recorded as the first sequence of vertical coordinates; the total number of horizontal coordinates in the first sequence of horizontal coordinates is obtained, which is recorded as K0;

[0028] Set the correction ratio to P0, and the value range of P0 is [0, 1); calculate k = P0*K0;

[0029] The smallest k horizontal coordinates and the largest k horizontal coordinates in the first sequence of horizontal coordinates are removed to obtain the second sequence of horizontal coordinates, and the smallest k vertical coordinates and the largest k vertical coordinates in the first sequence of vertical coordinates are removed to obtain the second sequence of vertical coordinates;

[0030] Get the total number of abscissas in the second sequence of abscissas, denoted as K1, K1=K0-2*k;

[0031] Calculate the average value of the second sequence of the horizontal coordinates, record it as the horizontal coordinate cx of the equipment distribution center, and calculate the average value of the vertical coordinate of the second sequence of the vertical coordinates, record it as the vertical coordinate cy of the equipment distribution center;

[0032] The position (cx, cy) represented by the abscissa of the device distribution center and the ordinate of the device distribution center is recorded as the device distribution center.

[0033] Further, performing location distribution processing based on the communication device location distribution information to obtain the device distribution center and the first device distribution range, and obtaining the device distribution change data also includes the following sub-steps:

[0034] Calculate the distances between all plane coordinates in the plane location information of the communication device and the center of the device distribution, and arrange them in ascending order, recorded as the first distance sequence, and obtain the total number of distances in the first distance sequence, recorded as K0;

[0035] Set the first distance ratio threshold to P1, obtain the [K0*P1]th distance in the first distance sequence, mark it as the first threshold distance, and record it as L0;

[0036] Set the second distance ratio threshold to P2, and any distance in the first distance sequence that is greater than the first threshold is recorded as Li; if (Li / L0)>P2, then remove Li from the first distance sequence, and after completion, obtain the second distance sequence;

[0037] Filter the maximum value in the second distance sequence, mark it as the first distribution distance, draw a circle with the device distribution center as the center and the first distribution distance as the radius, and record the obtained circular area as the first device distribution range;

[0038] A first device distribution range and a device distribution center corresponding to the first coverage range are obtained at a first time interval, and the acquisition time is recorded and marked as device distribution change data.

[0039] Further, building a location distribution prediction model based on the device distribution change data, and predicting the device distribution center and the first device distribution range, and obtaining the device distribution prediction data includes the following sub-steps:

[0040] Normalize the device distribution change data according to the data type, and scale the values ​​of all data to [0, 1] to obtain first distribution change data;

[0041] An original prediction model is constructed based on a long short-term memory network, and the original prediction model includes: an input layer, a hidden processing layer, and an output layer; the number of neurons in the input layer is set to V1, the number of hidden layers in the hidden processing layer is set to V2, the number of neurons in the hidden layer is set to V3, and the number of neurons in the output layer is set to V4; the original prediction model is trained using the first distribution change data, and a position distribution prediction model is obtained after completion;

[0042] The device distribution change data of a certain time length is obtained at a second time interval, and input into the location distribution prediction model after normalization processing to obtain the predicted device distribution center and the first device distribution range, which are marked as device distribution prediction data, and the second time interval is T2.

[0043] Further, based on the device distribution change data, the device distribution prediction data and the first transmission data, dynamically adjusting and optimizing the coverage position, coverage range and signal transmission power of the shaped beam signal includes the following sub-steps:

[0044] A second strength threshold D2 and a third strength threshold D3 are set, where D3>D2; a coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna is recorded as a first signal range, and a center of the first signal range is recorded as a first signal center;

[0045] According to the equipment distribution change data, the first signal center is adjusted in real time to coincide with the position of the equipment distribution center at the current moment, and the size of the first signal range is adjusted to P3 times the first equipment distribution range at the current moment, where P3 is the proportional coefficient; then, the equipment distribution center and the first equipment distribution range at the next moment are obtained according to the equipment distribution prediction data, and the first signal center is moved from the position of the equipment distribution center at the current moment to the position of the equipment distribution center at the next moment, and during the movement, the size of the first signal range is adjusted to P3 times the first equipment distribution range at the next moment;

[0046] Based on the first transmission data, when it is monitored that the signal strength of the shaped beam signal is less than D2, the signal transmission power of the shaped beam signal is increased; when it is monitored that the signal strength of the shaped beam signal is greater than D3, the signal transmission power of the shaped beam signal is reduced.

[0047] In a second aspect, the present application provides a venue 5G shaped antenna wireless communication optimization system, including a first acquisition module, a second acquisition module, a distribution processing module, a distribution prediction module and an optimization adjustment module;

[0048] The first acquisition module is used to obtain a maximum adjustable coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna, marked as a first coverage range, and obtain first transmission data of the shaped beam signal;

[0049] The second acquisition module is used to acquire the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information;

[0050] The distribution processing module performs location distribution processing based on the communication device location distribution information, obtains the device distribution center and the first device distribution range, and obtains device distribution change data;

[0051] The distribution prediction module includes a model construction unit and a model prediction unit. The model construction unit constructs a location distribution prediction model based on the device distribution change data. The model prediction unit is used to predict the device distribution center and the first device distribution range to obtain device distribution prediction data.

[0052] The optimization and adjustment module dynamically adjusts and optimizes the coverage position, coverage range and signal transmission power of the shaped beam signal based on the device distribution change data, the device distribution prediction data and the first transmission data.

[0053] Beneficial effects of the present invention: The present invention obtains the first coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna, and obtains the first transmission data of the shaped beam signal; obtains the communication device location distribution information of the mobile communication device within the first coverage range; and performs location distribution processing to obtain device distribution change data; constructs a location distribution prediction model based on the device distribution change data, and performs prediction to obtain device distribution prediction data; based on the device distribution change data, the device distribution prediction data and the first transmission data, dynamically adjusts and optimizes the coverage position, coverage range and signal transmission power of the shaped beam signal, and can dynamically adjust and optimize the signal coverage range and signal strength according to the crowd distribution and possible changes in the crowd distribution, thereby ensuring the user's communication experience while reducing resource waste;

[0054] The present invention calculates the device distribution center by setting a correction ratio, which can reduce the influence of outliers and eliminate the interference of outliers on the calculation of the geometric center, so that the calculated geometric center can more accurately represent the real distribution center of the crowd, thereby improving the accuracy of subsequent adjustments and optimizations; by setting a threshold to calculate the first device distribution range, the vast majority of people can be covered by a smaller signal range, which can avoid excessive coverage of unmanned or sparsely populated areas and reduce unnecessary waste of resources; by predicting changes in the distribution of mobile devices through a location distribution prediction model, the distribution range and geometric center of the crowd can be known in advance, so that the 5G beamforming antenna can more accurately focus the signal to the crowd area, achieve more accurate beamforming, reduce signal waste in unmanned areas, improve signal transmission efficiency and spectrum utilization, and improve the overall communication quality in the venue. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 is a functional block diagram of the system of the present invention;

[0056] Figure 2 is a flow chart of the steps of the method of the present invention;

[0057] Figure 3 It is a schematic diagram of the maximum adjustable coverage range of the present invention;

[0058] Figure 4 It is the original prediction model structure diagram of the present invention;

[0059] Figure 5 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Example 1, please refer to Figure 1 As shown, the present application provides a venue 5G shaped antenna wireless communication optimization system, including a first acquisition module, a second acquisition module, a distribution processing module, a distribution prediction module and an optimization adjustment module;

[0062] The first acquisition module is used to obtain a maximum adjustable coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna, marked as a first coverage range, and obtain first transmission data of the shaped beam signal;

[0063] The first acquisition module is configured with a first acquisition strategy, which includes: selecting any point in the venue as the coordinate origin, recorded as the first origin, and establishing a three-dimensional rectangular coordinate system, recorded as the venue space coordinate system, obtaining the spatial coordinates of all 5G shaped antennas in the venue in the venue space coordinate system, recorded as antenna position data;

[0064] Obtain the maximum signal coverage of the shaped beam signal transmitted by the 5G shaped antenna in the venue at the corresponding position, recorded as the second coverage range; that is, the maximum coverage area of ​​the shaped beam signal at the same time; please refer to Figure 3 As shown, the adjustable angle of the 5G shaping antenna is obtained, and based on the adjustable angle, the maximum adjustable coverage range of the second coverage range of the shaping beam signal is obtained, that is, the maximum area to which the second coverage range can be adjusted, which is marked as the first coverage range, and the geometric center of the first coverage range is recorded as the first center; the first coverage range and the second coverage range both refer to ranges on a plane without height;

[0065] n signal transceiver monitoring devices are evenly arranged within the first coverage range, and the spatial coordinates of the signal transceiver monitoring devices in the venue spatial coordinate system are recorded as the monitoring device position data; the signal transceiver monitoring devices are used to transmit and receive signals, and can monitor the signal quality of the shaped beam signal transmitted by the 5G shaped beam antenna; the number of signal transceiver monitoring devices to be arranged must ensure that no matter how the coverage position of the shaped beam signal changes, at least one signal transceiver monitoring device can monitor the shaped beam signal;

[0066] The first strength threshold is set to D0. In this embodiment, D0=-80dBm. Based on n signal transceiver monitoring devices, the transmission rate and signal strength of the shaped beam signal are obtained at the first time interval. If the signal strength obtained by a certain signal transceiver monitoring device is greater than the first strength threshold D0, the corresponding signal transceiver monitoring device is recorded as a valid monitoring device, and the transmission rate and signal strength obtained by the valid monitoring device are recorded, and the time of acquisition is recorded to obtain the first transmission data. The first time interval is T1. In this embodiment, the first time interval T1 is 5s. Because it is impossible for all signal transceiver monitoring devices to be located within the coverage range of the shaped beam signal, that is, the signals monitored by the signal transceiver monitoring devices that are not located within the coverage range of the shaped beam signal are other interference signals and do not need to be recorded, so it is necessary to set the first strength threshold D0 for screening. If there are multiple valid monitoring devices at the same time, the obtained transmission rate and signal strength can be averaged and then recorded.

[0067] In the specific real-time process, a shaped beam signal is a beam that has been specially designed and processed so that its radiation characteristics in space present a specific shape. In the field of communications, in order to achieve effective coverage of specific areas on the ground, it is necessary to shape the antenna beam so that the beam can cover the area that needs communication services in the desired shape, generally a circle, to avoid wasting energy in areas that do not need to be covered, while enhancing the signal strength in the coverage area.

[0068] The second acquisition module is used to acquire the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information;

[0069] The second acquisition module configures the second acquisition strategy, which includes: for mobile communication devices in the venue space coordinate system, the mobile communication device refers to a smart phone; a signal is transmitted to the mobile communication device through the connected 5G shaping antenna and the signal transceiver monitoring device corresponding to the 5G shaping antenna, and the time difference between the time when the mobile communication device receives the signal and the time when the corresponding signal is transmitted is obtained, and the spatial distance between the 5G shaping antenna and the mobile communication device is calculated based on the time difference, which is recorded as B1, and the distance between any three corresponding signal transceiver monitoring devices and the mobile communication device is calculated based on the time difference, which are recorded as B2, B3 and B4 respectively; the transmission speed of the signal is the speed of light, and the distance to the mobile communication device can be obtained by time difference*speed of light;

[0070] Based on the antenna position data and the monitoring device position data, the spatial positions of the 5G shaped antennas and the signal transceiver monitoring devices corresponding to B1, B2, B3 and B4 are obtained, and are recorded as A1 (x1, y1, z1), A2 (x2, y2, z2), A3 (x3, y3, z3) and A4 (x4, y4, z4) in order; where x represents the horizontal axis distance, y represents the vertical axis distance, and z represents the height distance;

[0071] The mobile communication device position equation group is established and solved to obtain the spatial position (x0, y0, z0) of the mobile communication device; the mobile communication device position equation group is as follows:

[0072]

[0073] Repeatedly obtain the location information of the mobile communication devices in the spatial coordinate system of all venues and record it as the communication device location data;

[0074] The floor height range is set according to the spatial position of the first origin and the floor height of the venue, and the communication equipment location data is filtered according to the floors covered by the first coverage range, and the communication equipment is located on the same floor as the first coverage range and is located within the first coverage range, and is recorded as the communication equipment location distribution information; for example, the spatial position of the first origin is set on the ground of the first floor, and the height of the ground of the first floor is 0, and the height difference between the first and second floors of the venue is 3.5m, then the first floor height range can be set to [0, 3m], that is, the z-axis is located at [0, 3m] and is assumed to be on the first floor of the venue. Because of the difference in height and posture of the human body, even on the same floor, the height of the mobile communication equipment will be different, and the subsequent processing is based on the plane. Screening based on the floor height can avoid misjudgment of devices on the same plane position but on different floors;

[0075] In the specific implementation process, for wearable mobile communication devices, such as smart watches, the signal requirements are often not high and they can be ignored when calculating the position to increase the speed of obtaining the position distribution.

[0076] The distribution processing module performs location distribution processing based on the communication device location distribution information, obtains the device distribution center and the first device distribution range, and obtains device distribution change data;

[0077] The distribution processing module is configured with a distribution processing strategy, which includes: removing the height coordinates of all coordinate information in the communication equipment location distribution information to obtain the plane location information of the communication equipment; because the 5G shaping antenna is generally installed at a high place and projected to the ground, the height of the coordinate information in the communication equipment location distribution information has little effect on subsequent processing. For example, when using a mobile phone in a standing position or a sitting position, the height coordinates are removed to facilitate subsequent processing and improve processing efficiency;

[0078] Based on the plane position information of the communication device, the horizontal coordinates of all the plane coordinates are extracted and sorted from small to large, which are recorded as the first sequence of horizontal coordinates; at the same time, the vertical coordinates of all the plane coordinates are extracted and sorted from small to large, which are recorded as the first sequence of vertical coordinates; the total number of horizontal coordinates in the first sequence of horizontal coordinates is obtained, which is recorded as K0;

[0079] Set the correction ratio to P0, and the value range of P0 is [0, 1); calculate k = P0 * K0; in this embodiment, P0 = 0.1, and P0 determines the ratio of the maximum value to the minimum value to be removed from the data set;

[0080] Remove the smallest k horizontal coordinates and the largest k horizontal coordinates in the first horizontal coordinate sequence to obtain the second horizontal coordinate sequence, and remove the smallest k vertical coordinates and the largest k vertical coordinates in the first vertical coordinate sequence to obtain the second vertical coordinate sequence; for example, if the first horizontal coordinate sequence has 20 horizontal coordinate data, P0=0.1, then k=20*0.1=2, then remove the smallest 2 horizontal coordinates and the largest 2 horizontal coordinates;

[0081] Get the total number of abscissas in the second sequence of abscissas, denoted as K1, K1=K0-2*k;

[0082] Calculate the average value of the second sequence of horizontal coordinates, record it as the horizontal coordinate cx of the equipment distribution center, and calculate the average value of the second sequence of vertical coordinates, record it as the vertical coordinate cy of the equipment distribution center; for example, the second sequence of horizontal coordinates is {5, 6, 7, 8, 9, 10, 11, 12}, then cx = (5 + 8 + 12 + 9 + 5 + 7 + 10 + 11) / 8 = 8.5;

[0083] The position (cx, cy) represented by the horizontal coordinate of the device distribution center and the vertical coordinate of the device distribution center is recorded as the device distribution center; in the venue environment, there may be various anomalies in the distribution of the crowd; for example, special personnel who temporarily enter or leave the venue, etc.; by setting the correction ratio, the interference of these anomalies on the calculation of the geometric center can be eliminated, so that the calculated geometric center can more accurately represent the real distribution center of the crowd, thereby improving the accuracy of the subsequent coverage range delineated according to the center, and avoiding the misjudgment of the signal coverage range due to abnormal values;

[0084] Calculate the distances between all plane coordinates in the plane location information of the communication device and the center of the device distribution, and arrange them in ascending order, recorded as the first distance sequence, and obtain the total number of distances in the first distance sequence, recorded as K0;

[0085] Set the first distance ratio threshold to P1, obtain the [K0*P1]th distance in the first distance sequence, [K0*P1] represents a rounded integer; mark it as the first threshold distance, recorded as L0; in this embodiment, P1=0.85, P1 determines the minimum coverage ratio of the shaped beam signal;

[0086] Set the second distance ratio threshold to P2. In this embodiment, P2=1.2. Any distance greater than the first threshold distance in the first distance sequence is recorded as Li. If (Li / L0)>P2, remove Li from the first distance sequence, and then obtain the second distance sequence. For example, the first distance sequence is {1, 2, 2, 3, 5, 5, 7, 8, 10, 11, 14, 15}, P1=0.85, [K0*P1]=[12*0.85]=10; then the tenth distance is 11; P2=1.2, the distances greater than 11 are 14 and 15, 14 / 11=1.27>1.2, so remove 14, and 15>14, so remove 15, and finally obtain the second distance sequence of {1, 2, 2, 3, 5, 5, 7, 8, 10, 11}.

[0087] Filter the maximum value in the second distance sequence, mark it as the first distribution distance, draw a circle with the device distribution center as the center and the first distribution distance as the radius, and record the obtained circular area as the first device distribution range;

[0088] Acquire a first device distribution range and a device distribution center corresponding to a first coverage range at a first time interval, and record the acquisition time, marking it as device distribution change data;

[0089] In the specific implementation process, the first distance sequence is screened by setting P1 and P2, and the distribution range of the first device is divided in order to cover the vast majority of people with a smaller signal range, which means that excessive coverage of unmanned or sparsely populated areas can be avoided, reducing unnecessary waste of signal transmission power and spectrum resources, improving resource utilization efficiency, and reducing operating costs.

[0090] The distribution prediction module includes a model building unit and a model prediction unit. The model building unit builds a location distribution prediction model based on the device distribution change data. The model prediction unit is used to predict the device distribution center and the first device distribution range to obtain device distribution prediction data.

[0091] The model building unit is configured with a model building strategy, which includes: normalizing the device distribution change data according to the data type, including the horizontal coordinate, the vertical coordinate and the first device distribution range; scaling the numerical values ​​of all data to [0, 1]; obtaining the first distribution change data;

[0092] Build an original prediction model based on long short-term memory network, see Figure 4 As shown, the original prediction model includes: an input layer, a hidden processing layer and an output layer; the number of neurons in the input layer is set to V1, the number of hidden layers in the hidden processing layer is V2, the number of neurons in the hidden layer is V3, and the number of neurons in the output layer is V4; in this embodiment, V1=V4=3, because the input and output are both horizontal coordinates, vertical coordinates and the first device distribution range; V2=2, V3=32; the number of hidden layers can be determined according to the complexity of the problem and the data scale, and generally can be tried from 1-3 layers; the number of neurons in each hidden layer also needs to be adjusted, too few may not be able to fully learn the complex patterns in the data, and too many may cause overfitting; the number of neurons in each hidden layer can be different; the original prediction model is trained using the first distribution change data, and a position distribution prediction model is obtained after completion;

[0093] The model prediction unit is configured with a model prediction strategy, which includes: obtaining equipment distribution change data of a certain time length at a second time interval, and inputting the data into the location distribution prediction model after normalization processing to obtain the predicted equipment distribution center and the first equipment distribution range, which are marked as equipment distribution prediction data, and the second time interval is T2; in this embodiment, the second time interval T2 is 1 minute, and the prediction is made once every minute. The time length of the acquired equipment distribution change data is related to the time length required for prediction. For example, if the equipment distribution center and the first equipment distribution range in the next minute need to be predicted, the equipment distribution change data of the previous 20 minutes can be obtained for prediction. The longer the time length of obtaining the data, the more accurate the prediction, but the processing time of the model will also be longer; and the time interval of the predicted data is the first time interval;

[0094] In the specific implementation process, traditional venue 5G beamforming antennas usually adopt a fixed beamforming method, and its coverage range is pre-set; in actual scenarios, the crowd is dynamically changing, and their position and distribution range in the venue will change with the progress of the activity, rest time, emergencies and other factors; this fixed beam coverage method may cause the signal coverage area to not match the actual distribution of the crowd; for example, during the halftime break of a sports game, the audience may move from the stands to the rest area and dining area, while the fixed beam may still be concentrated on the stands, making the signal in the rest area and dining area weaker, resulting in signal coverage blind spots or weak areas, affecting the user's communication experience; through prediction, the dynamic changes of the crowd can be tracked in time, which facilitates the subsequent automatic adjustment of beam parameters such as position, range and transmission power; when the crowd moves from one area to another, it can respond quickly to cover the signal to the new crowd gathering area and maintain good communication services.

[0095] The optimization and adjustment module dynamically adjusts and optimizes the coverage position, coverage range and signal transmission power of the shaped beam signal based on the device distribution change data, the device distribution prediction data and the first transmission data;

[0096] The optimization adjustment module is configured with an optimization adjustment strategy, which includes: setting a second intensity threshold D2 and a third intensity threshold D3, where D3>D2; in this embodiment, the second intensity threshold D2=-70dBm, and the third intensity threshold D3 is -20dBm;

[0097] The coverage range of the shaped beam signal transmitted by the 5G shaped antenna is recorded as a first signal range, and the center of the first signal range is recorded as a first signal center;

[0098] According to the device distribution change data, the first signal center is adjusted in real time to coincide with the position of the device distribution center at the current moment, and at the same time, the size of the first signal range is adjusted to P3 times the first device distribution range at the current moment, where P3 is a proportional coefficient; in this embodiment, P=1.1, and in order to prevent the edge of the first device distribution range from not having good information quality, the first signal range is slightly larger than the first device distribution range; then, the device distribution center and the first device distribution range at the next moment are obtained according to the device distribution prediction data, and the first signal center is moved from the position of the device distribution center at the current moment to the position of the device distribution center at the next moment, and during the movement, the size of the first signal range is adjusted to P3 times the first device distribution range at the next moment; that is, at the current moment, the adjustment is made according to the acquired device distribution center and the first device distribution range, and after the adjustment is completed, the adjustment is made according to the predicted device distribution center and the first device distribution range, so that the first signal range can always move with the densest crowd, ensuring a good communication experience for most people;

[0099] Based on the first transmission data, when it is monitored that the signal strength of the shaped beam signal is less than D2, the signal transmission power of the shaped beam signal is increased; when it is monitored that the signal strength of the shaped beam signal is greater than D3, the signal transmission power of the shaped beam signal is reduced;

[0100] During the specific implementation process, changing the signal transmission power of the shaping beam signal will also cause the signal strength received by the mobile communication device to change; however, when changing the signal transmission power of the shaping beam signal, it is necessary to ensure that the size of the first signal range cannot be changed, otherwise it may affect the communication experience of people at the edge of the first signal range.

[0101] Example 2, please refer to Figure 2 As shown, the present application provides a venue 5G shaped antenna wireless communication optimization method, comprising the following steps:

[0102] Step S1, obtaining a maximum adjustable coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna, marked as a first coverage range, and obtaining first transmission data of the shaped beam signal; Step S1 includes the following sub-steps:

[0103] Step S101, select any point in the venue as the coordinate origin, record it as the first origin, and establish a three-dimensional rectangular coordinate system, record it as the venue space coordinate system, obtain the spatial coordinates of all 5G shaped antennas in the venue in the venue space coordinate system, record it as antenna position data;

[0104] Step S102, obtaining the maximum signal coverage range of the shaped beam signal transmitted by the 5G shaped antenna in the venue at the corresponding position, recorded as the second coverage range;

[0105] Step S103, and obtain the adjustable angle of the 5G shaping antenna, and based on the adjustable angle, obtain the maximum adjustable coverage range of the second coverage range of the shaping beam signal, mark it as the first coverage range, and record the geometric center of the first coverage range as the first center;

[0106] Step S104, evenly arranging n signal transceiver monitoring devices within the first coverage area, and recording the spatial coordinates of the signal transceiver monitoring devices in the venue space coordinate system as monitoring device position data;

[0107] Step S105, set the first intensity threshold to D0, based on n signal transceiver monitoring devices, respectively obtain the transmission rate and signal strength of the shaped beam signal at the first time interval, if the signal strength obtained by a certain signal transceiver monitoring device is greater than the first intensity threshold D0, then the corresponding signal transceiver monitoring device is recorded as a valid monitoring device, and the transmission rate and signal strength obtained by the valid monitoring device are recorded, and the time of acquisition is recorded to obtain the first transmission data, and the first time interval is T1.

[0108] Step S2, obtaining the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information; Step S2 includes the following sub-steps:

[0109] Step S201: For a mobile communication device in the spatial coordinate system of the venue, a signal is transmitted to the mobile communication device through the connected 5G shaping antenna and the signal transceiver monitoring device corresponding to the 5G shaping antenna, and the time difference between the time when the mobile communication device receives the signal and the time when the corresponding signal is transmitted is obtained respectively. The spatial distance between the 5G shaping antenna and the mobile communication device is calculated based on the time difference, which is recorded as B1. The distances between any three corresponding signal transceiver monitoring devices and the mobile communication device are calculated based on the time difference, which are recorded as B2, B3 and B4 respectively.

[0110] Step S202, based on the antenna position data and the monitoring device position data, the spatial positions of the 5G shaped antennas and the signal transceiver monitoring devices corresponding to B1, B2, B3 and B4 are obtained, and are recorded in order as A1 (x1, y1, z1), A2 (x2, y2, z2), A3 (x3, y3, z3) and A4 (x4, y4, z4);

[0111] Step S203, establish a mobile communication device position equation group, and solve it to obtain the spatial position (x0, y0, z0) of the mobile communication device; the mobile communication device position equation group is as follows:

[0112]

[0113] Step S204, repeatedly obtaining the location information of the mobile communication devices in the spatial coordinate system of all venues, and recording it as the communication device location data;

[0114] Step S205, setting the floor height range according to the spatial position of the first origin and the floor height of the venue, and filtering the location information of the mobile communication devices that are on the same floor as the first coverage range and within the first coverage range in the communication device location data according to the floors covered by the first coverage range, and record it as the communication device location distribution information.

[0115] Step S3, performing location distribution processing based on the communication device location distribution information, obtaining the device distribution center and the first device distribution range, and obtaining device distribution change data; Step S3 includes the following sub-steps:

[0116] Step S301, removing the height coordinates of all coordinate information in the communication device location distribution information to obtain the communication device plane location information;

[0117] Step S302: based on the plane position information of the communication device, extract the horizontal coordinates of all the plane coordinates, and sort them from small to large, and record them as the first sequence of horizontal coordinates; at the same time, extract the vertical coordinates of all the plane coordinates, and sort them from small to large, and record them as the first sequence of vertical coordinates; obtain the total number of horizontal coordinates in the first sequence of horizontal coordinates, and record them as K0;

[0118] Step S303, set the correction ratio to P0, the value range of P0 is [0, 1); calculate k = P0 * K0;

[0119] Step S304, removing the smallest k horizontal coordinates and the largest k horizontal coordinates in the first sequence of horizontal coordinates to obtain a second sequence of horizontal coordinates, and removing the smallest k vertical coordinates and the largest k vertical coordinates in the first sequence of vertical coordinates to obtain a second sequence of vertical coordinates;

[0120] Step S305, obtaining the total number of abscissas in the second sequence of abscissas, denoted as K1, K1=K0-2*k;

[0121] Step S306, calculating the average value of the second sequence of horizontal coordinates, recorded as the horizontal coordinate cx of the equipment distribution center, and calculating the average value of the second sequence of vertical coordinates, recorded as the vertical coordinate cy of the equipment distribution center;

[0122] Step S307, recording the position (cx, cy) represented by the abscissa of the device distribution center and the ordinate of the device distribution center as the device distribution center;

[0123] Step S308, calculating the distances between all plane coordinates in the plane location information of the communication device and the device distribution center, and arranging them in ascending order, recorded as a first distance sequence, and obtaining the total number of distances in the first distance sequence, recorded as K0;

[0124] Step S309, setting the first distance ratio threshold to P1, obtaining the [K0*P1]th distance in the first distance sequence, marking it as the first threshold distance, recorded as L0;

[0125] Step S310, setting the second distance ratio threshold to P2, any distance in the first distance sequence that is greater than the first threshold is recorded as Li; if (Li / L0)>P2, then remove Li from the first distance sequence, and after completion, obtain the second distance sequence;

[0126] Step S311, selecting the maximum value in the second distance sequence, marking it as the first distribution distance, drawing a circle with the device distribution center as the center and the first distribution distance as the radius, and recording the obtained circular area as the first device distribution range;

[0127] Step S312: acquiring a first device distribution range and a device distribution center corresponding to a first coverage range at a first time interval, and recording the acquisition time, which is marked as device distribution change data.

[0128] Step S4, building a location distribution prediction model based on the device distribution change data, and predicting the device distribution center and the first device distribution range to obtain device distribution prediction data; Step S4 includes the following sub-steps:

[0129] Step S401, normalizing the device distribution change data according to the data type, scaling the numerical values ​​of all data to [0, 1], and obtaining first distribution change data;

[0130] Step S402, constructing an original prediction model based on the long short-term memory network, the original prediction model includes: an input layer, a hidden processing layer and an output layer; setting the number of neurons in the input layer to V1, the number of hidden layers in the hidden processing layer to V2, the number of neurons in the hidden layer to V3, and the number of neurons in the output layer to V4;

[0131] Step S403, using the first distribution change data to perform model training on the original prediction model, and after completion, a position distribution prediction model is obtained;

[0132] Step S404, obtaining the equipment distribution change data of a certain time length at a second time interval, and inputting the normalized data into the location distribution prediction model to obtain the predicted equipment distribution center and the first equipment distribution range, marked as equipment distribution prediction data, and the second time interval is T2.

[0133] Step S5, based on the device distribution change data, the device distribution prediction data and the first transmission data, dynamically adjust and optimize the coverage position, coverage range and signal transmission power of the shaped beam signal; Step S5 includes the following sub-steps:

[0134] Step S501, setting a second strength threshold D2 and a third strength threshold D3, where D3>D2; the coverage range of the shaped beam signal transmitted by the 5G shaped antenna is recorded as a first signal range, and the center of the first signal range is recorded as a first signal center;

[0135] Step S502: According to the device distribution change data, the first signal center is adjusted in real time to coincide with the position of the device distribution center at the current moment, and the size of the first signal range is adjusted to P3 times the first device distribution range at the current moment, where P3 is a proportional coefficient.

[0136] Step S503, then obtaining the device distribution center and the first device distribution range at the next moment according to the device distribution prediction data, moving the first signal center from the position of the device distribution center at the current moment to the position of the device distribution center at the next moment, and adjusting the size of the first signal range to P3 times the first device distribution range at the next moment during the movement;

[0137] Step S504: based on the first transmission data, when it is monitored that the signal strength of the shaped beam signal is less than D2, the signal transmission power of the shaped beam signal is increased;

[0138] Step S505: when it is monitored that the signal strength of the shaped beam signal is greater than D3, the signal transmission power of the shaped beam signal is reduced.

[0139] Example 3, please refer to Figure 5 As shown, Figure 5The structural schematic diagram of an electronic device is illustrated, and the electronic device may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in a method for optimizing wireless communication of a 5G shaped antenna in a venue are executed to achieve the following functions: obtaining the maximum adjustable coverage range of the shaped beam signal transmitted by the 5G shaped antenna, marked as the first coverage range, and obtaining the first transmission data of the shaped beam signal; obtaining the position distribution of mobile communication devices within the first coverage range, recorded as the communication device position distribution information; performing position distribution processing based on the communication device position distribution information, obtaining the device distribution center and the first device distribution range, and obtaining the device distribution change data; constructing a position distribution prediction model based on the device distribution change data, and predicting the device distribution center and the first device distribution range to obtain the device distribution prediction data; dynamically adjusting and optimizing the coverage position, coverage range and signal transmission power of the shaped beam signal based on the device distribution change data, the device distribution prediction data and the first transmission data.

[0140] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0141] Embodiment 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by the processor, the steps in the above-mentioned venue 5G shaped antenna wireless communication optimization method are executed to achieve the following functions: obtain the maximum adjustable coverage range of the shaped beam signal transmitted by the 5G shaped antenna, marked as the first coverage range, and obtain the first transmission data of the shaped beam signal; obtain the position distribution of mobile communication devices within the first coverage range, recorded as the communication device position distribution information; perform position distribution processing based on the communication device position distribution information to obtain the device distribution center and the first device distribution range, and obtain the device distribution change data; construct a position distribution prediction model based on the device distribution change data, and predict the device distribution center and the first device distribution range to obtain the device distribution prediction data; based on the device distribution change data, the device distribution prediction data and the first transmission data, dynamically adjust and optimize the coverage position, coverage range and signal transmission power of the shaped beam signal.

[0142] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0143] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for optimizing wireless communication of 5G shaped antennas in a venue, characterized in that: The steps include: Obtain a maximum adjustable coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna, mark it as a first coverage range, and obtain first transmission data of the shaped beam signal; Obtaining the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information; Performing location distribution processing based on the communication device location distribution information to obtain a device distribution center and a first device distribution range, and obtaining device distribution change data; Building a location distribution prediction model based on the device distribution change data, and predicting the device distribution center and the first device distribution range to obtain device distribution prediction data; Based on the device distribution change data, the device distribution prediction data and the first transmission data, the coverage position, coverage range and signal transmission power of the shaped beam signal are dynamically adjusted and optimized.

2. According to claim 1, a venue 5G shaped antenna wireless communication optimization method is characterized in that: Obtaining the maximum adjustable coverage range of the 5G shaped beam signal transmitted by the shaped beam antenna, marked as the first coverage range, includes the following sub-steps: Select any point in the venue as the coordinate origin, record it as the first origin, and establish a three-dimensional rectangular coordinate system, record it as the venue space coordinate system, obtain the spatial coordinates of all 5G shaped antennas in the venue in the venue space coordinate system, record it as the antenna position data; Obtain the maximum signal coverage range of the shaped beam signal transmitted by the 5G shaped antenna in the venue at the corresponding position, which is recorded as the second coverage range; and obtain the adjustable angle of the 5G shaped antenna, and based on the adjustable angle, obtain the maximum adjustable coverage range of the second coverage range of the shaped beam signal, which is marked as the first coverage range, and the geometric center of the first coverage range is recorded as the first center.

3. A venue 5G shaped antenna wireless communication optimization method according to claim 2, characterized in that: Acquiring first transmission data of a shaped beam signal includes the following sub-steps: Evenly arrange n signal transceiver monitoring devices within the first coverage area, and record the spatial coordinates of the signal transceiver monitoring devices in the venue space coordinate system as monitoring device position data; The first intensity threshold is set to D0. Based on n signal transceiver monitoring devices, the transmission rate and signal strength of the shaped beam signal are obtained at first time intervals. If the signal strength obtained by a certain signal transceiver monitoring device is greater than the first intensity threshold D0, the corresponding signal transceiver monitoring device is recorded as a valid monitoring device, and the transmission rate and signal strength obtained by the valid monitoring device are recorded, and the time of acquisition is recorded to obtain the first transmission data. The first time interval is T1.

4. A venue 5G shaped antenna wireless communication optimization method according to claim 3, characterized in that: Acquiring the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information, includes the following sub-steps: For mobile communication devices in the venue's spatial coordinate system, signals are transmitted to the mobile communication devices through the connected 5G shaping antenna and the signal transceiver monitoring device corresponding to the 5G shaping antenna, and the time difference between the time when the mobile communication device receives the signal and the time when the corresponding signal is transmitted is obtained. The spatial distance between the 5G shaping antenna and the mobile communication device is calculated based on the time difference, which is recorded as B1. The distances between any three corresponding signal transceiver monitoring devices and the mobile communication device are calculated based on the time difference, which are recorded as B2, B3 and B4 respectively; Based on the antenna position data and the monitoring equipment position data, the spatial positions of the 5G shaped antennas and signal transceiver monitoring equipment corresponding to B1, B2, B3 and B4 are obtained, and are recorded as A1 (x1, y1, z1), A2 (x2, y2, z2), A3 (x3, y3, z3) and A4 (x4, y4, z4) in order.

5. A venue 5G shaped antenna wireless communication optimization method according to claim 4, characterized in that: Acquiring the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information, includes the following sub-steps: The mobile communication device position equation group is established and solved to obtain the spatial position (x0, y0, z0) of the mobile communication device; the mobile communication device position equation group is as follows: Repeatedly obtain the location information of the mobile communication devices in the spatial coordinate system of all venues and record it as the communication device location data; The floor height range is set according to the spatial position of the first origin and the floor height of the venue, and the location information of the mobile communication devices that are on the same floor as the first coverage range and within the first coverage range in the communication equipment location data are filtered according to the floors covered by the first coverage range, and recorded as the communication equipment location distribution information.

6. A venue 5G shaped antenna wireless communication optimization method according to claim 5, characterized in that: Performing location distribution processing based on the communication device location distribution information to obtain the device distribution center and the first device distribution range, and obtaining device distribution change data includes the following sub-steps: Removing the height coordinates of all coordinate information in the communication device location distribution information to obtain the communication device plane location information; Based on the plane position information of the communication device, the horizontal coordinates of all the plane coordinates are extracted and sorted from small to large, which are recorded as the first sequence of horizontal coordinates; at the same time, the vertical coordinates of all the plane coordinates are extracted and sorted from small to large, which are recorded as the first sequence of vertical coordinates; the total number of horizontal coordinates in the first sequence of horizontal coordinates is obtained, which is recorded as K0; Set the correction ratio to P0, and the value range of P0 is [0, 1); calculate k = P0*K0; The smallest k horizontal coordinates and the largest k horizontal coordinates in the first sequence of horizontal coordinates are removed to obtain the second sequence of horizontal coordinates, and the smallest k vertical coordinates and the largest k vertical coordinates in the first sequence of vertical coordinates are removed to obtain the second sequence of vertical coordinates; Get the total number of abscissas in the second sequence of abscissas, denoted as K1, K1=K0-2*k; Calculate the average value of the second sequence of the horizontal coordinates, record it as the horizontal coordinate cx of the equipment distribution center, and calculate the average value of the vertical coordinate of the second sequence of the vertical coordinates, record it as the vertical coordinate cy of the equipment distribution center; The position (cx, cy) represented by the abscissa of the device distribution center and the ordinate of the device distribution center is recorded as the device distribution center.

7. A venue 5G shaped antenna wireless communication optimization method according to claim 6, characterized in that: Performing location distribution processing based on the communication device location distribution information to obtain the device distribution center and the first device distribution range, and obtaining the device distribution change data also includes the following sub-steps: Calculate the distances between all plane coordinates in the plane location information of the communication device and the center of the device distribution, and arrange them in ascending order, recorded as the first distance sequence, and obtain the total number of distances in the first distance sequence, recorded as K0; Set the first distance ratio threshold to P1, obtain the [K0*P1]th distance in the first distance sequence, mark it as the first threshold distance, and record it as L0; Set the second distance ratio threshold to P2, and any distance in the first distance sequence that is greater than the first threshold is recorded as Li; if (Li / L0)>P2, then remove Li from the first distance sequence, and after completion, obtain the second distance sequence; Filter the maximum value in the second distance sequence, mark it as the first distribution distance, draw a circle with the device distribution center as the center and the first distribution distance as the radius, and record the obtained circular area as the first device distribution range; A first device distribution range and a device distribution center corresponding to the first coverage range are obtained at a first time interval, and the acquisition time is recorded and marked as device distribution change data.

8. A venue 5G shaped antenna wireless communication optimization method according to claim 7, characterized in that: Building a location distribution prediction model based on the device distribution change data, and predicting the device distribution center and the first device distribution range, to obtain the device distribution prediction data includes the following sub-steps: Normalize the device distribution change data according to the data type and scale the values ​​of all data to [0, 1]; Obtaining first distribution change data; Building an original prediction model based on the long short-term memory network, the original prediction model includes: an input layer, a hidden processing layer and an output layer; Set the number of neurons in the input layer to V1, the number of hidden layers in the hidden processing layer to V2, the number of neurons in the hidden layer to V3, and the number of neurons in the output layer to V4; use the first distribution change data to train the original prediction model, and after completion, obtain the position distribution prediction model; The device distribution change data of a certain time length is obtained at a second time interval, and input into the location distribution prediction model after normalization processing to obtain the predicted device distribution center and the first device distribution range, which are marked as device distribution prediction data, and the second time interval is T2.

9. A venue 5G shaped antenna wireless communication optimization method according to claim 8, characterized in that: Based on the device distribution change data, the device distribution prediction data and the first transmission data, dynamically adjusting and optimizing the coverage position, coverage range and signal transmission power of the shaped beam signal includes the following sub-steps: A second strength threshold D2 and a third strength threshold D3 are set, where D3>D2; a coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna is recorded as a first signal range, and a center of the first signal range is recorded as a first signal center; According to the equipment distribution change data, the first signal center is adjusted in real time to coincide with the position of the equipment distribution center at the current moment, and the size of the first signal range is adjusted to P3 times the first equipment distribution range at the current moment, where P3 is the proportional coefficient; then, the equipment distribution center and the first equipment distribution range at the next moment are obtained according to the equipment distribution prediction data, and the first signal center is moved from the position of the equipment distribution center at the current moment to the position of the equipment distribution center at the next moment, and during the movement, the size of the first signal range is adjusted to P3 times the first equipment distribution range at the next moment; Based on the first transmission data, when it is monitored that the signal strength of the shaped beam signal is less than D2, the signal transmission power of the shaped beam signal is increased; when it is monitored that the signal strength of the shaped beam signal is greater than D3, the signal transmission power of the shaped beam signal is reduced.

10. A venue 5G shaped antenna wireless communication optimization system, applicable to a venue 5G shaped antenna wireless communication optimization method according to any one of claims 1 to 9, characterized in that: It includes a first acquisition module, a second acquisition module, a distribution processing module, a distribution prediction module and an optimization and adjustment module; The first acquisition module is used to obtain a maximum adjustable coverage range of a shaped beam signal transmitted by a 5G shaped beam antenna, marked as a first coverage range, and obtain first transmission data of the shaped beam signal; The second acquisition module is used to acquire the location distribution of mobile communication devices within the first coverage area, recorded as communication device location distribution information; The distribution processing module performs location distribution processing based on the communication device location distribution information, obtains the device distribution center and the first device distribution range, and obtains device distribution change data; The distribution prediction module includes a model construction unit and a model prediction unit. The model construction unit constructs a location distribution prediction model based on the device distribution change data. The model prediction unit is used to predict the device distribution center and the first device distribution range to obtain device distribution prediction data. The optimization and adjustment module dynamically adjusts and optimizes the coverage position, coverage range and signal transmission power of the shaped beam signal based on the device distribution change data, the device distribution prediction data and the first transmission data.

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