A wireless communication networking method based on phased array combined with AP

Abstract

The application discloses a wireless communication networking method based on a phased array combined with an AP, acquires signal coverage requirement data of a construction site, adjusts the direction and shape of a beam through phased antenna technology to aim at a target receiving point, and determines the stability of a signal transmission path; extracts environmental noise and multipath interference data from the adjusted signal transmission path, processes interference signals by using an anti-interference algorithm, and obtains stable signal output; in view of dynamic change data of the construction site environment, updates the pointing and coverage range of the phased antenna through a preset beam adjustment mechanism, and determines the signal coverage state after adaptive adjustment; acquires the signal coverage state after adaptive adjustment, calculates the coverage expansion range in combination with the deployment position and quantity of the AP equipment, and obtains network distribution results of terminal access; extracts connection requirement data of terminal equipment from the network distribution results, and optimizes signal receiving and transmission parameters through CPE equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of information communication technology, and in particular to a wireless communication networking method based on phased array combined with AP. BACKGROUND

[0002] Wireless communication technology is increasingly widely used in modern engineering construction fields, especially in complex scenarios such as reservoir construction sites, efficient and stable network coverage has become crucial to support construction progress and management efficiency. Wireless networks not only need to meet the real-time and security of data transmission, but also need to adapt to the special needs of complex terrain and dynamic environment, its importance is self-evident. However, the current wireless network solution still has significant limitations in practical application. Traditional methods rely on fixed base stations or single wireless access technology, with limited coverage, insufficient anti-interference ability, and poor flexibility in adjusting network configuration in dynamic environments. These defects lead to frequent network connection interruptions, signal attenuation and other problems, which cannot fully meet the diversified needs of the construction site.

[0003] In this field, the core challenges mainly focus on how to achieve three technical factors of high stability of signal transmission, anti-interference ability and flexibility of network coverage. Due to the lack of signal transmission stability, the network quality of complex terrain and long-distance areas is difficult to guarantee; the lack of anti-interference ability makes environmental noise and multipath effect become the main obstacle to the reliability of data transmission; and the lack of flexibility of network coverage limits the system's ability to respond quickly to dynamic changes in the construction site, such as equipment movement or temporary obstruction. These unresolved technical factors together pose a unique challenge: in the case of limited resources, both efficient network operation and economic deployment and convenient management need to be considered.

[0004] Therefore, how to realize the high stability, anti-interference ability and coverage flexibility of wireless networks in such a complex and dynamic environment as a reservoir construction site by integrating advanced signal transmission technology and flexible access method, combined with efficient data management means, has become a key problem that needs to be solved in this research. SUMMARY

[0005] The present application provides a wireless communication networking method based on phased array combined with AP to solve the above technical problems.

[0006] The technical solution of the present application is as follows:

[0007] A wireless communication networking method based on phased array combined with AP, comprising:

[0008] Obtain signal coverage requirement data of the construction site, adjust the beam direction and shape through phased antenna technology to align the target receiving point, and determine the stability of the signal transmission path.

[0009] Extracting environmental noise and multipath interference data from the adjusted signal transmission path, using an anti-interference algorithm to process the interference signal, and obtaining a stable signal output;

[0010] For the dynamic change data of the construction site environment, the pointing and coverage range of the phased antenna are updated through the preset beam adjustment mechanism to determine the adaptively adjusted signal coverage state;

[0011] Obtain the adaptively adjusted signal coverage state, combine the deployment location and number of AP devices to calculate the coverage expansion range, and obtain the network distribution result of the terminal access;

[0012] Extract the connection demand data of the terminal device from the network distribution result, and optimize the signal reception and transmission parameters through the CPE device.

[0013] Further, the process of determining the stability of the signal transmission path includes:

[0014] Obtain the demand data uploaded by the construction site, determine the signal coverage range by analyzing the data content;

[0015] Extract the site environment characteristics from the signal coverage range, and use a preset threshold to judge the environmental complexity;

[0016] Adjust the phased antenna parameters according to the environmental complexity to obtain the initial value of the beam direction;

[0017] Calculate the beam shape through the initial value of the beam direction, and determine the alignment angle of the target receiving point;

[0018] Obtain the transmission path data under the alignment angle, and judge the fluctuation range of the path stability;

[0019] Analyze the path stability trend from the fluctuation range, and use a support vector machine algorithm to predict the signal interruption probability;

[0020] Adjust the antenna parameters through the predicted signal interruption probability to determine the final beam direction and shape.

[0021] Further, the process of obtaining a stable signal output includes:

[0022] Obtain noise data and interference signals from the signal transmission path, process the interference signals through an anti-interference algorithm, and obtain a preliminary signal output;

[0023] Determine the influence range of the multipath interference according to the preliminary signal output, and use a preset threshold to determine the intensity distribution of the interference signal;

[0024] Adjust the parameters of the transmission path through the intensity distribution to obtain the optimized path adjustment result;

[0025] Obtain the change trend of the environmental noise from the optimized path adjustment result, and determine the fluctuation range of the signal transmission through the change trend;

[0026] If the fluctuation range exceeds the preset threshold, use the random forest algorithm to predict the distribution characteristics of the interference signal, and obtain the predicted distribution data;

[0027] Adjust the parameters of the anti-interference algorithm according to the predicted distribution data, and obtain the final signal output;

[0028] Determine the optimization state of the transmission path by judging the transmission quality of the stable signal through the final signal output.

[0029] Further, the process of obtaining the optimized path adjustment result comprises:

[0030] Extract the multi-path interference data through the preliminary signal output, and determine the change characteristics of the influence range;

[0031] Obtain the fluctuation data of the intensity distribution according to the change characteristics, and judge the offset degree of the distribution characteristics;

[0032] Compare the offset degree with the preset threshold to obtain the adjustment direction of the transmission path;

[0033] Update the transmission path parameters through the adjustment direction, and determine the preliminary structure of the optimized path;

[0034] Extract the distribution data of the interference analysis from the preliminary structure, and use the support vector machine algorithm to predict the distribution characteristics;

[0035] Adjust the path parameters according to the predicted distribution characteristics, and obtain the final output of the optimized path;

[0036] Determine the completion state of the path adjustment by analyzing the stability of the signal output through the final output.

[0037] Further, the process of determining the adaptive adjustment signal coverage state comprises:

[0038] Update the beam adjustment parameters of the phased antenna through the dynamic change data of the construction site, and obtain the preliminary result of the pointing update;

[0039] Obtain the change data of the coverage range from the preliminary result of the pointing update, and determine the distribution characteristics of the signal coverage through the change data;

[0040] If the distribution characteristics of the signal coverage exceed the preset threshold, use the support vector machine algorithm to predict the fluctuation trend of the coverage range, and obtain the predicted distribution data;

[0041] Adjust the pointing parameters of the phased antenna according to the predicted distribution data, and obtain the adjusted coverage range state;

[0042] The fluctuation range of the environment impact is determined by the adjusted coverage state, and the signal distribution data adapted to the adjustment is obtained;

[0043] The update trend of the environment data is obtained from the signal distribution data adapted to the adjustment, and the final adjustment state is determined by the update trend;

[0044] The parameters of the beam adjustment are updated according to the final adjustment state, and a stable signal coverage result is obtained.

[0045] Further, it also includes: according to the dynamic change data of the construction site and the preset mechanism, the fluctuation trend of the coverage range is predicted by using the support vector machine algorithm, the update trend of the environment data is obtained from the signal distribution data adapted to the adjustment, and the adjustment state of the phased antenna beam adjustment parameter is finally determined, and a stable signal coverage result is obtained;

[0046] Specifically, by using the dynamic change data of the construction site, the initial parameters of the beam adjustment are obtained by using the preset mechanism, and the preliminary data of the pointing update are obtained;

[0047] The fluctuation characteristics of the coverage range are extracted from the preliminary data of the pointing update, the support vector machine algorithm is used to process the fluctuation characteristics, and the prediction distribution data is obtained;

[0048] The pointing parameters of the beam are adjusted according to the prediction distribution data, and the adjusted coverage state data is obtained;

[0049] The distribution trend of the environmental impact is extracted by using the adjusted coverage state data, and the adjustment state of the signal coverage is determined by using the statistical tool to analyze the distribution trend;

[0050] The update data of the dynamic change is obtained from the adjustment state of the signal coverage, and the stability state of the coverage range is determined by the update data;

[0051] The beam parameters are adjusted according to the stability state, and the stable signal coverage data is obtained;

[0052] The final distribution trend of the environmental impact is extracted by using the stable signal coverage data, and the beam adjustment state of the phased antenna is determined.

[0053] Further, the process of obtaining the network distribution result of the terminal access includes:

[0054] The boundary data of the coverage state is obtained by using the signal coverage state adapted to the adjustment, the distribution characteristics of the AP equipment are extracted in combination with the deployment position, and the preliminary distribution data is obtained;

[0055] The spatial characteristics of the network distribution are obtained from the preliminary distribution data, the deployment density of the AP equipment is processed in combination with the quantity calculation, and the boundary result of the expansion range is obtained;

[0056] The continuity of the network distribution is judged by the boundary result of the extended range, and if the continuity is lower than a preset threshold, a clustering algorithm is used to divide the region to obtain adjusted distribution data;

[0057] The access point position of the terminal access is obtained according to the adjusted distribution data, the distribution parameters of the AP equipment are updated in combination with the position data, and the optimized network distribution is determined;

[0058] The fluctuation characteristics of the signal coverage are extracted from the optimized network distribution, a support vector machine algorithm is used to predict the change trend of the distribution data, and the predicted distribution state is obtained;

[0059] The stability of the coverage state is judged by the predicted distribution state, and if the stability exceeds a preset threshold, the parameters of the deployment position are adjusted to obtain a stable calculation result;

[0060] The boundary data of the extended range is updated according to the stable calculation result, and the final network distribution of the terminal access is determined in combination with the distribution data.

[0061] Further, it also includes: obtaining coverage boundary data according to the adaptively adjusted signal coverage state, dividing the network region by a clustering algorithm to obtain optimized terminal access point distribution parameters, predicting the coverage fluctuation trend by a support vector machine algorithm, judging the coverage stability, and obtaining the final network distribution result;

[0062] Specifically: boundary data is obtained by signal coverage data, the boundary data is processed by a clustering algorithm, the network region is divided, and the preliminary regional division result is obtained;

[0063] The spatial characteristics are extracted from the preliminary regional division result, the distribution parameters are updated in combination with the access point position, and the adjusted regional distribution data is determined;

[0064] The deployment density is obtained according to the adjusted regional distribution data, the continuity of the distribution parameters is judged in combination with the network region, and if the continuity is lower than a preset threshold, the network region is re-divided to obtain optimized distribution parameters;

[0065] The fluctuation trend is extracted by the optimized distribution parameters, and a support vector machine algorithm is used to process the fluctuation trend to obtain a predicted coverage state;

[0066] The characteristic data of the coverage state is extracted from the predicted coverage state, the stability of the coverage state is judged in combination with the stability, and if the stability exceeds a preset threshold, the deployment density is adjusted to determine the stable distribution parameters;

[0067] The spatial characteristics are updated according to the stable distribution parameters, the adjusted network region is obtained in combination with the boundary data, and the final distribution result is obtained;

[0068] The characteristics of signal coverage are extracted from the final distribution result, and the network distribution of the terminal access is determined in combination with the access point.

[0069] Further, the process of optimizing the signal receiving and transmitting parameters by the CPE device includes:

[0070] The connection demand data of the terminal device is extracted from the network distribution, the demand area is divided by using the clustering algorithm, and the regional connection demand distribution is obtained.

[0071] The deployment position of the CPE device is obtained according to the regional connection demand distribution, the signal receiving parameters are adjusted in combination with the position data, and the optimized receiving state is determined.

[0072] The characteristic data of signal transmission is extracted from the optimized receiving state, the change trend of the transmission parameters is predicted by using the support vector machine algorithm, and the predicted transmission state is obtained.

[0073] The fluctuation range of connection stability is judged according to the predicted transmission state, and if the fluctuation range exceeds the preset threshold, the transmission parameters of the CPE device are adjusted to obtain a stable transmission result.

[0074] The step of optimizing the signal receiving and transmitting parameters by the CPE device further includes judging the improvement degree of connection stability, and the process of judging the improvement degree of connection stability includes:

[0075] The connection demand distribution of the terminal device is updated by using the stable transmission result, the coverage range of signal optimization is judged in combination with the distribution data, and the adjusted coverage state is obtained.

[0076] The change data of connection stability is obtained from the adjusted coverage state, the change degree is analyzed by using the statistical tool, and the final stability result is determined.

[0077] The parameters of the network distribution are updated according to the final stability result, the access efficiency of the terminal device is judged in combination with the parameter data, and the optimized network distribution state is obtained.

[0078] Further, it further includes: for the improvement degree of connection stability, a redundant AP deployment algorithm is used to calculate the distribution position of the standby access point, and a network continuity guarantee scheme is determined.

[0079] The network data stream in the guarantee scheme is obtained, transmitted to the core room by cloud line, and combined with the centralized management platform to process real-time monitoring information, and an optimized network operation state is obtained.

[0080] After obtaining the optimized network operation state, the delay and transmission speed indicators are extracted from the optimized network operation state, the transmission priority is adjusted by using the data compression algorithm, and the improvement result of cloud connection is judged.

[0081] For the improved cloud connectivity data in the result, real-time analysis report is generated and network configuration is updated through the centralized management platform to determine the overall network performance of the construction site.

[0082] Compared with the prior art, the present application has the following beneficial effects:

[0083] The present application dynamically adjusts the beam direction and shape of the phased antenna, accurately aligns the target receiving point, ensures the stability of the signal transmission path, and dynamically optimizes the antenna parameters in combination with real-time evaluation of the environmental complexity, further ensuring high-quality transmission of signals in complex terrain and long-distance areas.

[0084] For environmental noise and multipath interference, the present application uses advanced anti-interference algorithms to process interference signals and predicts signal interruption probability through support vector machine algorithm, dynamically adjusts antenna parameters to optimize signal transmission path, significantly improves the anti-interference ability of the network, and ensures the reliability of data transmission.

[0085] The present application monitors the dynamic changes of the construction site environment in real time, updates the pointing and coverage range of the phased antenna using a preset mechanism, ensures the adaptability of network coverage, and further improves the flexibility and response capability of network coverage in combination with flexible deployment of AP devices and clustering algorithm optimization of terminal access point distribution. BRIEF DESCRIPTION OF DRAWINGS

[0086] Figure 1 The flowchart of the wireless communication networking method based on the combination of phased array and AP in embodiment 1 is shown.

[0087] Figure 2 The flowchart of the wireless communication networking method based on the combination of phased array and AP in embodiment 2 is shown. DETAILED DESCRIPTION

[0088] In order to make the purpose, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the following described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0089] Embodiment 1

[0090] As shown in Figure 1 The present embodiment provides a wireless communication networking method based on the combination of phased array and AP, characterized in that it comprises:

[0091] Obtain signal coverage requirement data of the construction site, adjust the beam direction and shape through phased antenna technology to align the target receiving point, and determine the stability of the signal transmission path;

[0092] Extract environmental noise and multipath interference data from the adjusted signal transmission path, process the interference signal using an anti-interference algorithm, and obtain stable signal output;

[0093] For dynamic change data of the construction site environment, update the pointing and coverage range of the phased antenna through the preset beam adjustment mechanism, and determine the adaptively adjusted signal coverage state;

[0094] Obtain the adaptively adjusted signal coverage state, combine the deployment location and number of AP devices to calculate the coverage expansion range, and obtain the network distribution result of the terminal access;

[0095] Extract the connection requirement data of the terminal device from the network distribution result, and optimize the signal reception and transmission parameters through the CPE device.

[0096] Further, the process of determining the stability of the signal transmission path includes:

[0097] Obtain the requirement data uploaded by the construction site, determine the signal coverage range by analyzing the data content;

[0098] Extract the site environment characteristics from the signal coverage range, and determine the environmental complexity using a preset threshold;

[0099] Adjust the phased antenna parameters according to the environmental complexity to obtain the initial value of the beam direction;

[0100] Calculate the beam shape through the initial value of the beam direction, and determine the alignment angle of the target receiving point;

[0101] Obtain the transmission path data under the alignment angle, and determine the fluctuation range of the path stability;

[0102] Analyze the path stability trend from the fluctuation range, and predict the signal interruption probability using a support vector machine algorithm;

[0103] Adjust the antenna parameters through the predicted signal interruption probability to determine the final beam direction and shape.

[0104] In one embodiment, the process of determining the stability of the signal transmission path can be as follows:

[0105] Obtain the topography and building distribution of the construction site using drone aerial photography, obtain the equipment location and construction activity data through the construction management system, upload these data to the central management system, use the geographic information system (GIS) software to analyze the topography, determine the area that needs to be covered by the signal, assume that the covered area is a circular area with a radius of 500 meters, and the center is located at the center point of the construction site, determine the key coverage points such as equipment concentration areas and personnel activity frequent areas according to the equipment location and construction activity data;

[0106] Extract terrain features such as slope and elevation difference, assume that slope data is calculated through contour lines of topographic map, elevation difference data is calculated through altitude difference of topographic map, extract equipment features such as equipment quantity and distribution, assume that equipment quantity is calculated through equipment location data recorded by construction management system;

[0107] Set the preset threshold: slope > 30°, elevation difference > 10 meters, equipment density > 5 units / 100 square meters;

[0108] Calculate the environmental complexity of each area, for example, for a specific area, the slope is 35°, the elevation difference is 12 meters, and the equipment density is 6 units / 100 square meters, according to the preset threshold, the environmental complexity of this area is high;

[0109] For complex areas, adjust the beam width and direction of phased array antenna to reduce signal attenuation and interference, the beam width adjustment formula is:

[0110] Where, is the signal wavelength, d is the antenna aperture;

[0111] Assume that the signal wavelength is 0.1 meters and the antenna aperture is 1 meter, then the beam width is:

[0112]

[0113] Get the initial value of beam direction, assume that the initial direction is the north direction (0°);

[0114] Use beam forming algorithm to calculate the beam shape to ensure that the signal can cover the target receiving point, assume that the target receiving point is located at the 30° offset position of the beam direction, and the beam shape is Gaussian distribution:

[0115]

[0116] Where, is the angle, is the beam center angle, is half of the beam width;

[0117] Assume =30°, = 2.865° (half of the beam width), the beam intensity at the target receiving point is:

[0118]

[0119] The alignment angle of the target receiving point is determined to be 30°;

[0120] The signal strength, time delay, and phase change at the alignment angle are measured using a signal analyzer. Assuming the measurement results show that the signal strength is -70 dBm, the time delay is 15 μs, and the phase change is 45°, the transmission path data is recorded;

[0121] The transmission path data is analyzed to calculate the fluctuation range of the signal strength, and assuming the fluctuation range is ±5 dBm, it is determined whether the fluctuation range exceeds the preset threshold, and assuming the preset threshold is ±3 dBm, the current fluctuation range exceeds the threshold;

[0122] The fluctuation range is analyzed using a support vector machine (SVM) algorithm to predict the signal interruption probability, and assuming the SVM model prediction result shows that the signal interruption probability is 0.15 (15%), the prediction result shows that the current signal interruption probability is high;

[0123] According to the prediction result, the power and beam direction of the antenna are adjusted to optimize the signal coverage. Assuming the adjustment formula is:

[0124]

[0125] wherein, is the new beam direction, is the old beam direction, is the direction adjustment amount, and assuming the current direction is 30° and the adjustment amount is 5°, the new direction is 35°, the final beam direction and shape are determined;

[0126] After implementing the adjustment, the signal coverage range and stability are measured again, and the verification result shows that the signal coverage range is expanded and the signal interruption probability is significantly reduced to 0.05 (5%).

[0127] The process of judging the environmental complexity includes: defining feature indexes related to environmental complexity; setting preset thresholds for each feature index according to actual application scenarios and experience; collecting relevant environmental data from the field, calculating the value of each feature index according to the collected data, comparing the calculated feature index value with the preset threshold to judge the environmental complexity of each area; and comprehensively evaluating the complexity results of each feature index to calculate the overall environmental complexity.

[0128] Further, the process of obtaining stable signal output includes:

[0129] Noise data and interference signals are acquired from the signal transmission path, the interference signals are processed through an anti-interference algorithm to obtain a preliminary signal output;

[0130] The influence range of multipath interference is determined according to the preliminary signal output, and the intensity distribution of the interference signals is determined using a preset threshold value;

[0131] The parameters of the transmission path are adjusted through the intensity distribution to obtain an optimized path adjustment result;

[0132] The change trend of the environmental noise is acquired from the optimized path adjustment result, and the fluctuation range of the signal transmission is determined through the change trend;

[0133] If the fluctuation range exceeds a preset threshold value, the distribution characteristics of the interference signals are predicted using a random forest algorithm to obtain predicted distribution data;

[0134] The parameters of the anti-interference algorithm are adjusted according to the predicted distribution data to obtain a final signal output;

[0135] The transmission quality of the stable signal is determined through the final signal output, and the optimization state of the transmission path is determined.

[0136] Further, the process of obtaining the optimized path adjustment result comprises:

[0137] Multipath interference data is extracted from the preliminary signal output to determine the change characteristics of the influence range;

[0138] Fluctuation data of the intensity distribution is acquired according to the change characteristics to determine the degree of deviation of the distribution characteristics;

[0139] The adjustment direction of the transmission path is obtained by comparing the degree of deviation using a preset threshold value;

[0140] The transmission path parameters are updated through the adjustment direction to determine the preliminary structure of the optimized path;

[0141] Distribution data for interference analysis is extracted from the preliminary structure, and the support vector machine algorithm is used to predict the distribution characteristics;

[0142] The path parameters are adjusted according to the predicted distribution characteristics to obtain the final output of the optimized path;

[0143] The stability of the signal output is analyzed through the final output to determine the completion state of the path adjustment.

[0144] Further, the process of determining the adaptive adjustment of the signal coverage state comprises:

[0145] The beam adjustment parameters of the phased antenna are updated using a preset mechanism through the dynamic change data of the construction site to obtain a preliminary result of the pointing update;

[0146] Obtaining coverage change data from preliminary results of pointing update, judging distribution characteristics of signal coverage through the change data;

[0147] If the distribution characteristics of signal coverage exceed the preset threshold, using support vector machine algorithm to predict fluctuation trend of coverage, obtaining predicted distribution data;

[0148] Adjusting pointing parameters of phased antenna according to the predicted distribution data, obtaining adjusted coverage state;

[0149] Judging fluctuation range of environmental influence through the adjusted coverage state, obtaining adaptive adjusted signal distribution data;

[0150] Obtaining update trend of environmental data from the adaptive adjusted signal distribution data, determining final adjustment state through the update trend;

[0151] Updating parameters of beam adjustment according to the final adjustment state, obtaining stable signal coverage result.

[0152] In an embodiment, the signal coverage state after adaptive adjustment can be determined as follows:

[0153] The positions of construction equipment and personnel are constantly changing, resulting in dynamic changes in signal coverage requirements. Through the sensor network installed in the construction site, real-time collection of equipment position and personnel activity data is performed. These data are uploaded to the central management system through the wireless communication module. The preset mechanism updates the beam adjustment parameters of the phased antenna according to the real-time data.

[0154] Using a signal analyzer to measure the signal coverage range after updating the beam direction and width. Assuming that the coverage change data includes signal strength S and coverage area A, the average signal strength of the coverage area is calculated through the measured signal strength distribution data and the standard deviation of signal strength :

[0155]

[0156]

[0157] wherein N is the number of measurement points, is the signal strength of the i-th measurement point; assuming that the measured signal strength data is , , , the average signal strength of the coverage area is calculated as and ;

[0158] The preset threshold is set as:

[0159]

[0160] Because And Exceeding the preset threshold, further analysis of the fluctuation trend of signal coverage is needed;

[0161] The fluctuation trend of coverage is predicted using a support vector machine (SVM) algorithm. Assuming that the input features of the SVM model are signal strength S and coverage area A, and the output is the fluctuation trend of signal strength , the SVM model is trained by training data set to predict the fluctuation trend of signal strength; assuming that the prediction result is

[0162] According to the fluctuation trend predicted by the SVM algorithm , the pointing parameters of the phased antenna are adjusted:

[0163]

[0164]

[0165] wherein, and are the adjustment amounts calculated according to the predicted fluctuation trend;

[0166] Assuming that and are calculated according to the prediction result, the adjusted beam direction angle and beam width are respectively:

[0167]

[0168]

[0169] Measure the adjusted signal coverage, and assume that the measured signal strength distribution data is , , , the average signal strength of the adjusted coverage area and the standard deviation of signal strength are calculated:

[0170]

[0171]

[0172] Assuming that and are measured;

[0173] Analyze the adjusted signal distribution data to obtain the update trend of the environment data, and assume that the update trend of the environment data is represented by the change rate of signal strength :

[0174]

[0175] wherein, is the time interval. Assuming that the rate of change of signal strength in a period of time is ;

[0176] According to the update trend of the environmental data, the parameters of the beam adjustment are updated:

[0177]

[0178]

[0179] wherein, and are adjustment amounts calculated according to the update trend, assuming that and are calculated according to the update trend, the final beam direction angle and beam width are respectively:

[0180]

[0181]

[0182] Further, the determination of the adaptively adjusted signal coverage state further comprises: according to the dynamic change data of the construction site and the preset mechanism, the fluctuation trend of the coverage range is predicted by using a support vector machine algorithm, the update trend of the environmental data is obtained by using the adaptively adjusted signal distribution data, the adjustment state of the phased antenna beam adjustment parameter is finally determined, and a stable signal coverage result is obtained;

[0183] Specifically, by using the dynamic change data of the construction site, the initial parameters of the beam adjustment are obtained by using a preset mechanism, and preliminary data of pointing update are obtained.

[0184] The fluctuation characteristics of the coverage range are extracted from the preliminary data of pointing update, the fluctuation characteristics are processed by using a support vector machine algorithm, and prediction distribution data are obtained.

[0185] According to the prediction distribution data, the pointing parameters of the beam are adjusted, and adjusted coverage state data are obtained.

[0186] The distribution trend of the environmental influence is extracted from the adjusted coverage state data, the distribution trend is analyzed by using a statistical tool, and the adjustment state of the signal coverage is determined.

[0187] The update data of the dynamic change is obtained from the adjustment state of the signal coverage, and the stability state of the coverage range is determined by using the update data.

[0188] According to the stability state, the beam parameters are adjusted, and stable signal coverage data are obtained.

[0189] The final distribution trend of the environment impact is determined by extracting the environment impact from the stable signal coverage data, and the beam adjustment state of the phased antenna is determined.

[0190] Further, the process of obtaining the network distribution result of the terminal access includes:

[0191] The boundary data of the coverage state is obtained by adaptively adjusting the signal coverage state, the distribution characteristics of the AP device are extracted in combination with the deployment position, and the preliminary distribution data is obtained.

[0192] The spatial characteristics of the network distribution are obtained from the preliminary distribution data, the deployment density of the AP device is processed in combination with the quantity calculation, and the boundary result of the extended range is obtained.

[0193] The continuity of the network distribution is determined by the boundary result of the extended range, if the continuity is lower than a preset threshold, a clustering algorithm is used to divide the region, and the adjusted distribution data is obtained.

[0194] The access point position of the terminal access is obtained according to the adjusted distribution data, the distribution parameters of the AP device are updated in combination with the position data, and the optimized network distribution is determined.

[0195] The fluctuation characteristics of the signal coverage are extracted from the optimized network distribution, a support vector machine algorithm is used to predict the change trend of the distribution data, and the predicted distribution state is obtained.

[0196] The stability of the coverage state is determined by the predicted distribution state, if the stability exceeds a preset threshold, the parameters of the deployment position are adjusted, and the stable calculation result is obtained.

[0197] The boundary data of the extended range is updated according to the stable calculation result, and the final network distribution of the terminal access is determined in combination with the distribution data.

[0198] Further, the network distribution result of the terminal access further includes: obtaining the coverage boundary data according to the adaptively adjusted signal coverage state, dividing the network region by a clustering algorithm, obtaining the optimized terminal access point distribution parameters, predicting the coverage fluctuation trend by a support vector machine algorithm, determining the coverage stability, and obtaining the final network distribution result.

[0199] Specifically, the boundary data is obtained from the signal coverage data, the boundary data is processed by a clustering algorithm, the network region is divided, and the preliminary region division result is obtained.

[0200] The spatial characteristics are extracted from the preliminary region division result, the distribution parameters are updated in combination with the access point position, and the adjusted region distribution data is determined.

[0201] ​According to the adjusted regional distribution data, the deployment density is obtained, the continuity of the distribution parameter is judged in combination with the network region, if the continuity is lower than a preset threshold, the network region is re-divided, and the optimized distribution parameter is obtained;

[0202] The fluctuation trend is extracted through the optimized distribution parameter, the support vector machine algorithm is adopted to process the fluctuation trend, and the predicted coverage state is obtained;

[0203] The feature data of the coverage state is extracted from the predicted coverage state, the stability of the coverage state is judged in combination with the stability, if the stability exceeds a preset threshold, the deployment density is adjusted, and the stable distribution parameter is determined;

[0204] According to the stable distribution parameter, the spatial feature is updated, the adjusted network region is obtained in combination with the boundary data, and the final distribution result is obtained;

[0205] The features of signal coverage are extracted through the final distribution result, and the network distribution of the terminal access is determined in combination with the access point.

[0206] Further, the process of optimizing the signal receiving and transmission parameters through the CPE device includes:

[0207] The connection demand data of the terminal device is extracted through the network distribution, the clustering algorithm is adopted to divide the demand region, and the regional connection demand distribution is obtained;

[0208] According to the regional connection demand distribution, the deployment position of the CPE device is obtained, the signal receiving parameter is adjusted in combination with the position data, and the optimized receiving state is determined;

[0209] The feature data of signal transmission is extracted from the optimized receiving state, the change trend of the transmission parameter is predicted through the support vector machine algorithm, and the predicted transmission state is obtained;

[0210] According to the predicted transmission state, the fluctuation range of connection stability is judged, if the fluctuation range exceeds a preset threshold, the transmission parameter of the CPE device is adjusted, and the stable transmission result is obtained.

[0211] Further, the step of optimizing the signal receiving and transmission parameters through the CPE device further includes judging the improvement degree of connection stability, and the process of judging the improvement degree of connection stability includes:

[0212] The connection demand distribution of the terminal device is updated through the stable transmission result, the coverage range of signal optimization is judged in combination with the distribution data, and the adjusted coverage state is obtained;

[0213] The change data of connection stability is obtained from the adjusted coverage state, the change degree is analyzed by using a statistical tool, and the final stability result is determined;

[0214] According to the final stability result, the parameters of the network distribution are updated, the access efficiency of the terminal device is judged in combination with the parameter data, and an optimized network distribution state is obtained.

[0215] In this embodiment, the signal coverage demand data of the construction site is obtained, the phased antenna technology is used, the beam direction and shape are adjusted, the target receiving point is accurately aligned, the phased array technology can flexibly control the beam pointing direction, dynamically adjusts according to the target position, and ensures the stability of the signal transmission path.

[0216] The environmental noise and multipath interference data are extracted from the adjusted signal transmission path, and an anti-interference algorithm is used to process the interference signal. The signal interruption probability is predicted by the support vector machine algorithm, the antenna parameters are dynamically adjusted, and the signal transmission path is optimized.

[0217] The dynamic changes of the construction site environment are monitored in real time, the pointing direction and coverage range of the phased antenna are updated by using a preset mechanism. The flexible deployment of AP equipment and the clustering algorithm are combined to optimize the distribution of terminal access points, and the flexibility and response capability of network coverage are further improved.

[0218] The signal coverage state after adaptive adjustment is obtained, the coverage expansion range is calculated in combination with the deployment position and quantity of AP equipment, the area is divided by using the clustering algorithm, the coverage fluctuation trend is predicted by using the support vector machine algorithm, the coverage stability is judged, and finally the network distribution of terminal access is determined.

[0219] The signal reception and transmission parameters are optimized by the CPE equipment. The signal reception parameters are adjusted according to the regional connection demand distribution, the change trend of the transmission parameters is predicted by using the support vector machine algorithm, and the connection stability is ensured.

[0220] By dynamically adjusting the beam direction and shape of the phased antenna, the target receiving point is accurately aligned, and the stability of the signal transmission path is ensured. Even in complex terrain and remote areas, network quality can be guaranteed; advanced anti-interference algorithms are used to process environmental noise and multipath interference, the signal interruption probability is predicted by using the support vector machine algorithm, and the antenna parameters are dynamically adjusted to optimize the signal transmission path. This significantly improves the anti-interference ability of the network and ensures the reliability of data transmission; real-time monitoring of the dynamic changes of the construction site environment, updating the pointing direction and coverage range of the phased antenna by using a preset mechanism. The flexible deployment of AP equipment and the clustering algorithm are combined to optimize the distribution of terminal access points, and the flexibility and response capability of network coverage are further improved; the area is divided by using the clustering algorithm, the coverage fluctuation trend is predicted by using the support vector machine algorithm, the coverage stability is judged, and finally the network distribution of terminal access is determined. This makes the network coverage more efficient and adapts to the diversified needs of the construction site; the signal reception and transmission parameters are optimized by the CPE equipment, and the connection stability is ensured. According to the degree of improvement of connection stability, the network distribution parameters are further adjusted, and the network performance is optimized.

[0221] Embodiment 2

[0222] As Figure 1 shown, the embodiment provides a wireless communication networking method based on phased array combined with AP, characterized in that it comprises:

[0223] Obtain signal coverage requirement data of the construction site, adjust the beam direction and shape through phased antenna technology to align the target receiving point, and determine the stability of the signal transmission path;

[0224] Extract environmental noise and multipath interference data from the adjusted signal transmission path, process the interference signal using an anti-interference algorithm, and obtain stable signal output;

[0225] According to the dynamic change data of the construction site environment, update the pointing and coverage range of the phased antenna through the preset beam adjustment mechanism, and determine the adaptive adjusted signal coverage state;

[0226] Obtain the adaptive adjusted signal coverage state, combine the deployment location and number of AP devices to calculate the coverage expansion range, and obtain the network distribution result of the terminal access;

[0227] Extract the connection requirement data of the terminal device from the network distribution result, and optimize the signal reception and transmission parameters through the CPE device;

[0228] Further, the process of determining the stability of the signal transmission path comprises:

[0229] Obtain the requirement data uploaded by the construction site, determine the signal coverage range by analyzing the data content;

[0230] Extract the site environment characteristics from the signal coverage range, and judge the environmental complexity using a preset threshold;

[0231] Adjust the phased antenna parameters according to the environmental complexity to obtain the initial value of the beam direction;

[0232] Calculate the beam shape through the initial value of the beam direction, and determine the alignment angle of the target receiving point;

[0233] Obtain the transmission path data under the alignment angle, and judge the fluctuation range of the path stability;

[0234] Analyze the path stability trend from the fluctuation range, and predict the signal interruption probability using a support vector machine algorithm;

[0235] Adjust the antenna parameters through the predicted signal interruption probability to determine the final beam direction and shape.

[0236] The process of judging the environment complexity comprises: defining feature indexes related to the environment complexity; setting preset threshold values for each feature index according to actual application scenarios and experience; collecting relevant environment data from the field, calculating the value of each feature index according to the collected data, comparing the calculated feature index value with the preset threshold value, and judging the environment complexity of each region; and comprehensively evaluating the complexity results of each feature index to calculate the overall environment complexity.

[0237] Further, the process of obtaining the stable signal output comprises:

[0238] Obtaining noise data and interference signals from the signal transmission path, processing the interference signals through an anti-interference algorithm to obtain a preliminary signal output;

[0239] Judging the influence range of multipath interference according to the preliminary signal output, and determining the intensity distribution of the interference signals using a preset threshold value;

[0240] Adjusting the parameters of the transmission path through the intensity distribution to obtain an optimized path adjustment result;

[0241] Obtaining the change trend of the environmental noise from the optimized path adjustment result, and judging the fluctuation range of the signal transmission through the change trend;

[0242] If the fluctuation range exceeds the preset threshold value, a random forest algorithm is used to predict the distribution characteristics of the interference signals to obtain predicted distribution data;

[0243] Adjusting the parameters of the anti-interference algorithm according to the predicted distribution data to obtain a final signal output;

[0244] Judging the transmission quality of the stable signal through the final signal output to determine the optimization state of the transmission path.

[0245] Further, the process of obtaining the optimized path adjustment result comprises:

[0246] Extracting multipath interference data through the preliminary signal output to determine the change characteristics of the influence range;

[0247] Obtaining fluctuation data of the intensity distribution according to the change characteristics to judge the offset degree of the distribution characteristics;

[0248] Comparing the offset degree with a preset threshold value to obtain the adjustment direction of the transmission path;

[0249] Updating the transmission path parameters through the adjustment direction to determine the preliminary structure of the optimized path;

[0250] Extracting distribution data for interference analysis from the preliminary structure, and predicting the distribution characteristics using a support vector machine algorithm;

[0251] Adjust the path parameters according to the distribution characteristics of the predicted distribution to obtain a final output of the optimized path;

[0252] Determine the completion state of the path adjustment by analyzing the stability of the signal output from the final output.

[0253] Further, the process of determining the adaptive adjusted signal coverage state comprises:

[0254] Update the beam adjustment parameters of the phased antenna using a preset mechanism through the dynamic change data of the construction site to obtain a preliminary result of pointing update;

[0255] Obtain change data of the coverage range from the preliminary result of pointing update, and determine the distribution characteristics of the signal coverage through the change data;

[0256] If the distribution characteristics of the signal coverage exceed a preset threshold, use a support vector machine algorithm to predict the fluctuation trend of the coverage range to obtain predicted distribution data;

[0257] Adjust the pointing parameters of the phased antenna according to the predicted distribution data to obtain an adjusted coverage range state;

[0258] Determine the fluctuation range of the environmental impact through the adjusted coverage range state to obtain adaptive adjusted signal distribution data;

[0259] Obtain the update trend of the environmental data from the adaptive adjusted signal distribution data, and determine the final adjustment state through the update trend;

[0260] Update the beam adjustment parameters according to the final adjustment state to obtain a stable signal coverage result.

[0261] Further, the determination of the adaptive adjusted signal coverage state further comprises: predicting the fluctuation trend of the coverage range using a support vector machine algorithm according to the dynamic change data of the construction site and a preset mechanism, obtaining the update trend of the environmental data through the adaptive adjusted signal distribution data, finally determining the adjustment state of the phased antenna beam adjustment parameters, and obtaining a stable signal coverage result;

[0262] Specifically, obtain the initial parameters of the beam adjustment using a preset mechanism through the dynamic change data of the construction site to obtain preliminary data of pointing update;

[0263] Extract the fluctuation characteristics of the coverage range from the preliminary data of pointing update, process the fluctuation characteristics using a support vector machine algorithm, and obtain predicted distribution data;

[0264] Adjust the pointing parameters of the beam according to the predicted distribution data to obtain adjusted coverage state data;

[0265] The distribution trend of the environmental influence is extracted from the adjusted coverage state data, and a statistical tool is used to analyze the distribution trend to determine the adjustment state of the signal coverage;

[0266] The updating data of the dynamic change is obtained from the adjustment state of the signal coverage, and the stability state of the coverage range is determined through the updating data;

[0267] The beam parameter is adjusted according to the stability state to obtain stable signal coverage data;

[0268] The final distribution trend of the environmental influence is extracted from the stable signal coverage data, and the beam adjustment state of the phased antenna is determined.

[0269] Further, the process of obtaining the network distribution result of the peripheral access includes:

[0270] The boundary data of the coverage state is obtained from the adaptively adjusted signal coverage state, the distribution characteristics of the AP equipment are extracted in combination with the deployment position to obtain preliminary distribution data;

[0271] The spatial characteristics of the network distribution are obtained from the preliminary distribution data, and the deployment density of the AP equipment is processed in combination with the quantity calculation to obtain the boundary result of the extended range;

[0272] The continuity of the network distribution is determined through the boundary result of the extended range, and if the continuity is lower than a preset threshold, a clustering algorithm is used to divide the area to obtain adjusted distribution data;

[0273] The access point position of the peripheral access is obtained from the adjusted distribution data, and the distribution parameter of the AP equipment is updated in combination with the position data to determine the optimized network distribution;

[0274] The fluctuation characteristics of the signal coverage are extracted from the optimized network distribution, and a support vector machine algorithm is used to predict the change trend of the distribution data to obtain a predicted distribution state;

[0275] The stability of the coverage state is determined through the predicted distribution state, and if the stability exceeds a preset threshold, the parameter of the deployment position is adjusted to obtain a stable calculation result;

[0276] The boundary data of the extended range is updated according to the stable calculation result, and the final network distribution of the peripheral access is determined in combination with the distribution data.

[0277] Further, the process of obtaining the network distribution result of the peripheral access further includes: obtaining coverage boundary data from the adaptively adjusted signal coverage state, dividing the network area through a clustering algorithm to obtain optimized distribution parameters of the peripheral access point, predicting the coverage fluctuation trend through a support vector machine algorithm, determining the coverage stability, and obtaining the final network distribution result;

[0278] Specifically, boundary data is obtained through signal coverage data, and clustering algorithm is used to process the boundary data to divide network regions and obtain a preliminary regional division result.

[0279] Spatial features are extracted from the preliminary regional division result, distribution parameters are updated in combination with access points, and adjusted regional distribution data are determined.

[0280] Deployment density is obtained according to the adjusted regional distribution data, and the continuity of the distribution parameters is judged in combination with the network regions, if the continuity is lower than a preset threshold, the network regions are re-divided, and the optimized distribution parameters are obtained.

[0281] The fluctuation trend is extracted through the optimized distribution parameters, and support vector machine algorithm is used to process the fluctuation trend to obtain a predicted coverage state.

[0282] The feature data of the coverage state is extracted from the predicted coverage state, and the stability of the coverage state is judged in combination with the stability, if the stability exceeds a preset threshold, the deployment density is adjusted, and the stable distribution parameters are determined.

[0283] The spatial features are updated according to the stable distribution parameters, and the adjusted network regions are obtained in combination with the boundary data, and the final distribution result is obtained.

[0284] The features of signal coverage are extracted through the final distribution result, and the network distribution of the terminal access is determined in combination with the access points.

[0285] Further, the process of optimizing signal receiving and transmission parameters through the CPE device includes:

[0286] The connection demand data of the terminal device is extracted through the network distribution, and the demand region is divided by using clustering algorithm to obtain the regionalized connection demand distribution.

[0287] The deployment position of the CPE device is obtained according to the regionalized connection demand distribution, the signal receiving parameters are adjusted in combination with the position data, and the optimized receiving state is determined.

[0288] The feature data of signal transmission is extracted from the optimized receiving state, the change trend of the transmission parameters is predicted by using support vector machine algorithm, and the predicted transmission state is obtained.

[0289] The fluctuation range of connection stability is judged according to the predicted transmission state, if the fluctuation range exceeds a preset threshold, the transmission parameters of the CPE device are adjusted, and the stable transmission result is obtained.

[0290] Further, the process of optimizing signal receiving and transmission parameters through the CPE device includes:

[0291] The connection demand data of the extraction terminal equipment is distributed through the network, a clustering algorithm is used to divide the demand area, and the regional connection demand distribution is obtained;

[0292] The deployment position of the CPE equipment is obtained according to the regional connection demand distribution, the signal receiving parameters are adjusted combined with the position data, and the optimized receiving state is determined;

[0293] The characteristic data of signal transmission is extracted from the optimized receiving state, the change trend of the transmission parameter is predicted through a support vector machine algorithm, and the predicted transmission state is obtained;

[0294] The fluctuation range of connection stability is judged according to the predicted transmission state, if the fluctuation range exceeds the preset threshold, the transmission parameter of the CPE equipment is adjusted, and the stable transmission result is obtained.

[0295] Further, after the CPE equipment optimizes the signal receiving and transmission parameters, the improvement degree of connection stability is judged, the distribution position of the standby access point is calculated by using a redundant AP deployment algorithm according to the improvement degree of connection stability, and a network continuity guarantee scheme is determined;

[0296] The process of determining the network continuity guarantee scheme includes: analyzing the distribution characteristics of the terminal equipment through the topology data, dividing the area by using a clustering algorithm, and obtaining the regional demand distribution;

[0297] The deployment position of the standby access point is obtained from the regional demand distribution, the coverage range is calculated combined with the position data, and the preliminary network continuity state is determined;

[0298] Adjustment parameters of the distribution position are extracted according to the preliminary network continuity state, the deployment position of the standby access point is updated through the adjustment parameters, and the optimized coverage range is obtained;

[0299] The fluctuation data of network continuity is extracted from the optimized coverage range, the fluctuation range is analyzed by using a statistical tool, and whether the fluctuation exceeds the preset threshold is judged;

[0300] If the fluctuation exceeds the preset threshold, the distribution position of the standby access point is adjusted according to the fluctuation data, and the stable network continuity state is obtained;

[0301] The topology data is updated through the stable network continuity state, the access efficiency of the terminal equipment is analyzed combined with the updated topology data, and the final optimization state is determined;

[0302] The change data of the coverage range is extracted from the final optimization state, the regional demand distribution is updated through the change data, and the adjusted network continuity scheme is obtained.

[0303] The network data flow in the guarantee scheme is acquired, transmitted to the core machine room through the cloud private line, and combined with the centralized management platform to process the real-time monitoring information to obtain the optimized network operation state.

[0304] The process of obtaining the optimized network operation state includes:

[0305] The network data is acquired, transmitted to the core machine room through the cloud private line, and combined with the centralized management platform to process the real-time monitoring information to obtain the optimized network operation state.

[0306] The flow characteristics of data transmission are extracted through the cloud private line, the statistical tool is used to analyze the flow distribution, and the load state of the network data is judged.

[0307] The processing requirements of the core machine room are acquired from the load state, the dispatching algorithm is used to allocate the information processing task, and the task execution sequence is obtained.

[0308] The monitoring information of the centralized management platform is updated according to the task execution sequence, the change trend of the operation state is extracted through real-time monitoring, and the adjusted operation parameter is obtained.

[0309] If the change trend exceeds the preset threshold, the resource allocation of the management platform is updated by adjusting the parameter, and the stable network operation state is obtained.

[0310] The delay index of data transmission is extracted from the stable network operation state, and whether the delay meets the requirements is judged by comparison and analysis to obtain the optimized transmission scheme.

[0311] The flow configuration of the cloud private line is updated through the optimized transmission scheme, and the final network operation state is determined in combination with the processing requirements of the core machine room.

[0312] Further, after obtaining the optimized network operation state, the delay and transmission speed index are extracted from the optimized network operation state, the transmission priority is adjusted by using the data compression algorithm, and the improvement result of the cloud connection is judged.

[0313] The process of judging the improvement result of the cloud connection includes:

[0314] The delay index and transmission speed are extracted through the optimized state, the transmission priority is adjusted by using the data compression algorithm, and the preliminary result of the cloud connection is obtained.

[0315] The change trend of the cloud connection is acquired from the preliminary result, the allocation requirements of the transmission priority are judged through the preset threshold, and the adjusted priority sequence is determined.

[0316] The processing logic of data compression is updated according to the adjusted priority sequence, the compressed transmission speed is acquired, and the stability of the cloud connection is judged.

[0317] Extract the load characteristics of network operation from stability, analyze the load distribution using statistical tools, and obtain a load-balanced allocation scheme;

[0318] Update the transmission priority configuration parameters through the allocation scheme, obtain the adjusted delay index, and determine the optimization degree of network operation;

[0319] Extract the response time of cloud connection from the optimization degree, compare and analyze the change trend of the response time to obtain the final connection state;

[0320] Update the execution sequence of algorithm adjustment according to the final connection state, obtain the verification data of the improvement result, and determine the completion degree of business processing.

[0321] For the cloud connectivity data in the improvement result, generate real-time analysis reports through the centralized management platform and update the network configuration to determine the overall network performance of the construction site.

[0322] The process of determining the overall network performance of the construction site includes:

[0323] Obtain real-time data streams from cloud connections through the management platform, use time series analysis to determine the fluctuation range of the connection state, and obtain initial connection state data;

[0324] Update the network configuration parameters according to the initial connection state data, determine the priority sequence of configuration adjustment through the preset threshold, and determine the adjusted configuration scheme;

[0325] Obtain network response data of the construction site through the adjusted configuration scheme, analyze the distribution characteristics of the response data using mean value calculation tools, and obtain performance distribution results;

[0326] Update the processing logic of real-time analysis according to the performance distribution results, judge the change trend of the connection state through comparative analysis, and determine the optimized connection state;

[0327] Obtain the load data of the management platform through the optimized connection state, adjust the allocation strategy of data streams using load balancing algorithms, and obtain balanced load characteristics;

[0328] Update the execution sequence of network configuration according to the balanced load characteristics, judge the stability of the overall performance through time window analysis, and obtain the final performance data.

[0329] After determining the degree of improvement in connection stability, the embodiment uses a redundant AP deployment algorithm to calculate the distribution position of the backup access point. By analyzing the network connection stability data and combining the layout and equipment distribution of the construction site, the optimal deployment position of the backup AP is determined to ensure that the backup AP can quickly take over when the main AP fails or the signal is unstable, ensuring the continuity of the network. In this way, a highly reliable wireless network architecture is formed, reducing the risk of network interruption caused by single-point failure.

[0330] By obtaining the network data flow in the security scheme, it is transmitted to the core machine room through the cloud line. The cloud line is a network connection channel with high security, high speed and low delay, which can ensure the stable transmission of network data. In the core machine room, real-time monitoring information is processed in combination with the centralized management platform. The centralized management platform can uniformly monitor, manage and optimize the entire network, analyze the network state in real time, and timely discover and solve problems. After processing by the centralized management platform, the optimized network operation state is obtained.

[0331] From the optimized network operation state, the delay and transmission speed indicators are extracted, and the data compression algorithm is used to adjust the transmission priority. The data compression algorithm can reduce the data transmission amount and improve the transmission efficiency, while adjusting the transmission priority according to the importance and urgency of the data to ensure the rapid transmission of critical data. The improvement result of cloud connectivity is judged, and by optimizing the transmission process, the delay of cloud connectivity is reduced and the transmission speed is improved, thereby improving the performance of the entire network.

[0332] For the cloud connectivity data in the improvement result, the centralized management platform generates a real-time analysis report, which can detail the network operation state, performance indicators, and existing problems and optimization suggestions. According to the real-time analysis report, the centralized management platform updates the network configuration. Updating the configuration can further optimize the network performance to adapt to the dynamic changes of the construction site, and finally determine the overall network performance of the construction site to ensure that the network can run efficiently and stably to meet the diverse needs of the construction site.

[0333] The embodiment uses a redundant AP deployment algorithm to reasonably arrange backup access points. When the main AP fails, the backup AP can take over in time to avoid network interruption. This redundancy mechanism greatly improves the reliability of the network and ensures uninterrupted network services at the construction site.

[0334] The high bandwidth and low delay characteristics of the cloud line are used to transmit network data streams to the core machine room for centralized management. The centralized management platform can monitor the network state in real time, timely discover and solve potential problems, and optimize the network configuration. At the same time, the data compression algorithm is used to adjust the transmission priority, further improving the data transmission efficiency.

[0335] By optimizing the transmission process, the delay of cloud connection is reduced, and the transmission speed is improved, which enables the equipment on the construction site to access cloud resources more quickly, improving work efficiency;

[0336] The centralized management platform can generate real-time analysis reports to provide detailed network operation information for network administrators. According to the real-time analysis reports, the administrators can timely adjust the network configuration and optimize the network performance. This intelligent management method improves the efficiency and accuracy of network management;

[0337] Through the optimization of centralized management platform, cloud line transmission, data compression algorithm and the deployment of redundant AP, the final network configuration can meet the diversified needs of the construction site, and the overall network performance is significantly improved, providing strong support for the construction progress and management efficiency of the construction site.

[0338] The specific embodiments of the application are described in detail above, but they are only examples. The application is not limited to the specific embodiments described above. Those skilled in the art should understand that the above examples and descriptions in the specification are only to illustrate the principles of the application. Without departing from the spirit and scope of the application, various changes and improvements can be made to the application. These changes and improvements fall within the scope of the application. The scope of the application is defined by the appended claims and their equivalents.

Claims

1. A wireless communication networking method based on phased array combined with AP, characterized in that, The method comprises the following steps: Obtain signal coverage requirement data of the construction site, adjust the beam direction and shape through phased antenna technology to align the target receiving point, and determine the stability of the signal transmission path; Extract environmental noise and multipath interference data from the adjusted signal transmission path, process the interference signal using an anti-interference algorithm, and obtain stable signal output; According to the dynamic change data of the construction environment, update the pointing and coverage range of the phased antenna through the preset beam adjustment mechanism, and determine the adaptively adjusted signal coverage state; Obtain the adaptively adjusted signal coverage state, combine the deployment location and number of AP devices to calculate the coverage expansion range, and obtain the network distribution result of the terminal access; Extract the connection requirement data of the terminal device from the network distribution result, and optimize the signal reception and transmission parameters through the CPE device.

2. The method of claim 1, wherein, The process of determining the stability of the signal transmission path comprises: Obtain the requirement data uploaded by the construction site, determine the signal coverage range by analyzing the data content; Extract the environmental characteristics from the signal coverage range, and determine the environmental complexity using a preset threshold; Adjust the phased antenna parameters according to the environmental complexity to obtain the initial value of the beam direction; Calculate the beam shape through the initial value of the beam direction to determine the alignment angle of the target receiving point; Obtain the transmission path data under the alignment angle, and determine the fluctuation range of the path stability; Analyze the path stability trend from the fluctuation range, and predict the signal interruption probability using a support vector machine algorithm; Adjust the antenna parameters through the predicted signal interruption probability to determine the final beam direction and shape.

3. The method of claim 1, wherein, The process of obtaining stable signal output comprises: Obtain noise data and interference signals from the signal transmission path, process the interference signals through an anti-interference algorithm to obtain preliminary signal output; Determine the influence range of multipath interference according to the preliminary signal output, and determine the intensity distribution of the interference signals using a preset threshold; Adjust the parameters of the transmission path through the intensity distribution to obtain the optimized path adjustment result; Obtain the change trend of environmental noise from the optimized path adjustment result, and determine the fluctuation range of signal transmission through the change trend; If the fluctuation range exceeds the preset threshold, predict the distribution characteristics of the interference signals using a random forest algorithm to obtain prediction distribution data; Adjust the parameters of the anti-interference algorithm according to the prediction distribution data to obtain the final signal output; Determine the optimization state of the transmission path by judging the transmission quality of the stable signal through the final signal output.

4. The method of claim 3, wherein, The process of obtaining the optimized path adjustment result comprises: Extract multipath interference data through the preliminary signal output to determine the change characteristics of the influence range; Obtain fluctuation data of the intensity distribution according to the change characteristics to determine the offset degree of the distribution characteristics; Compare the offset degree with a preset threshold to obtain the adjustment direction of the transmission path; Update the transmission path parameters through the adjustment direction to determine the preliminary structure of the optimized path; Extract the distribution data for interference analysis from the preliminary structure, and predict the distribution characteristics using a support vector machine algorithm; Adjust the path parameters according to the predicted distribution characteristics to obtain the final output of the optimized path; Determine the completion state of the path adjustment by analyzing the stability of the signal output through the final output.

5. The method of claim 1, wherein, The process of determining the adaptively adjusted signal coverage state comprises: The beam adjustment parameter of the phased antenna is updated by using a preset mechanism through dynamic change data of the construction site, and a preliminary result of pointing update is obtained; Change data of the coverage range is obtained from the preliminary result of pointing update, and the distribution characteristics of signal coverage are determined through the change data; If the distribution characteristics of signal coverage exceed a preset threshold, a support vector machine algorithm is used to predict the fluctuation trend of the coverage range, and prediction distribution data is obtained; The pointing parameter of the phased antenna is adjusted according to the prediction distribution data, and the adjusted coverage range state is obtained; The fluctuation range of the environmental influence is determined through the adjusted coverage range state, and the adjusted signal distribution data is obtained; The update trend of the environmental data is obtained from the adjusted signal distribution data, and the final adjustment state is determined through the update trend; The beam adjustment parameter is updated according to the final adjustment state, and a stable signal coverage result is obtained.

6. The method of claim 5, wherein, Further comprising: The fluctuation trend of the coverage range is predicted by using a support vector machine algorithm according to the dynamic change data of the construction site and a preset mechanism, the update trend of the environmental data is obtained through the adjusted signal distribution data, and the adjustment state of the phased antenna beam adjustment parameter is finally determined to obtain a stable signal coverage result; Specifically, the initial parameter of beam adjustment is obtained by using a preset mechanism through the dynamic change data of the construction site, and preliminary data of pointing update is obtained. The fluctuation characteristics of the coverage range are extracted from the preliminary data of pointing update, and prediction distribution data is obtained by using a support vector machine algorithm to process the fluctuation characteristics. The pointing parameter of the beam is adjusted according to the prediction distribution data, and the adjusted coverage state data is obtained. The distribution trend of the environmental influence is extracted through the adjusted coverage state data, and the adjustment state of signal coverage is determined by using a statistical tool to analyze the distribution trend. Dynamic change update data is obtained from the adjustment state of signal coverage, and the stability state of the coverage range is determined through the update data. The beam parameter is adjusted according to the stability state, and stable signal coverage data is obtained. The final distribution trend of the environmental influence is extracted through the stable signal coverage data, and the beam adjustment state of the phased antenna is determined.

7. The method of claim 1, wherein, The process of obtaining the network distribution result of the terminal access includes: The boundary data of the coverage state is obtained through the adaptively adjusted signal coverage state, the distribution characteristics of the AP equipment are extracted in combination with the deployment position, and preliminary distribution data is obtained. The spatial characteristics of the network distribution are obtained from the preliminary distribution data, the deployment density of the AP equipment is processed in combination with the quantity calculation, and the boundary result of the extended range is obtained. The continuity of the network distribution is determined through the boundary result of the extended range, and if the continuity is lower than a preset threshold, a clustering algorithm is used to divide the area, and adjusted distribution data is obtained. The access point position of the terminal access is obtained according to the adjusted distribution data, the distribution parameter of the AP equipment is updated in combination with the position data, and the optimized network distribution is determined. The fluctuation characteristics of the signal coverage are extracted from the optimized network distribution, and the change trend of the distribution data is predicted by using a support vector machine algorithm, and the predicted distribution state is obtained. The stability of the coverage state is determined according to the predicted distribution state, if the stability exceeds a preset threshold, the deployment position parameter is adjusted, and a stable calculation result is obtained; The boundary data of the extended range is updated according to the stable calculation result, and the final network distribution of the terminal access is determined in combination with the distribution data.

8. The method of claim 7, wherein, Further comprising: The coverage boundary data is obtained according to the adaptively adjusted signal coverage state, the network area is divided by a clustering algorithm, the optimized terminal access point distribution parameter is obtained, the support vector machine algorithm is used to predict the coverage fluctuation trend, the coverage stability is determined, and the final network distribution result is obtained; Specifically, the boundary data is obtained through the signal coverage data, the clustering algorithm is used to process the boundary data, the network area is divided, and the preliminary area division result is obtained; The spatial feature is extracted from the preliminary area division result, the distribution parameter is updated in combination with the access point, and the adjusted area distribution data is determined; The deployment density is obtained according to the adjusted area distribution data, the continuity of the distribution parameter is determined in combination with the network area, if the continuity is lower than a preset threshold, the network area is re-divided, and the optimized distribution parameter is obtained; The fluctuation trend is extracted through the optimized distribution parameter, the support vector machine algorithm is used to process the fluctuation trend, and the predicted coverage state is obtained; The feature data of the coverage state is extracted from the predicted coverage state, the stability of the coverage state is determined in combination with the stability, if the stability exceeds a preset threshold, the deployment density is adjusted, and the stable distribution parameter is determined; The spatial feature is updated according to the stable distribution parameter, the adjusted network area is obtained in combination with the boundary data, and the final distribution result is obtained; The feature of the signal coverage is extracted through the final distribution result, and the network distribution of the terminal access is determined in combination with the access point.

9. The method of claim 1, wherein, The process of optimizing the signal receiving and transmission parameters through the CPE device includes: The connection demand data of the terminal device is extracted through the network distribution, the clustering algorithm is used to divide the demand area, and the regional connection demand distribution is obtained; The deployment position of the CPE device is obtained according to the regional connection demand distribution, the signal receiving parameter is adjusted in combination with the position data, and the optimized receiving state is determined; The feature data of the signal transmission is extracted from the optimized receiving state, the change trend of the transmission parameter is predicted through the support vector machine algorithm, and the predicted transmission state is obtained; The fluctuation range of the connection stability is determined according to the predicted transmission state, if the fluctuation range exceeds a preset threshold, the transmission parameter of the CPE device is adjusted, and a stable transmission result is obtained; The process of judging the improvement degree of the connection stability includes: The connection demand distribution of the terminal device is updated through the stable transmission result, the coverage range of the signal optimization is determined in combination with the distribution data, and the adjusted coverage state is obtained; The change data of the connection stability is obtained from the adjusted coverage state, the change degree is analyzed by using a statistical tool, and the final stability result is determined; The parameter of the network distribution is updated according to the final stability result, the access efficiency of the terminal device is determined in combination with the parameter data, and the optimized network distribution state is obtained.

10. The wireless communication networking method based on phased array combined with AP according to claim 1, further characterized in that, Further comprising: using a redundant AP deployment algorithm to calculate the distribution position of the standby access point for the improvement degree of connection stability, and determining the guarantee scheme of network continuity; Obtaining the network data flow in the guarantee scheme, transmitting to the core machine room through the cloud line, and combining with the centralized management platform to process real-time monitoring information to obtain the optimized network running state; After obtaining the optimized network running state, extracting the delay and transmission speed indicators from the optimized network running state, adjusting the transmission priority using the data compression algorithm, and judging the improvement result of cloud connectivity; For the cloud connectivity data in the improvement result, generate a real-time analysis report through the centralized management platform and update the network configuration to determine the overall network performance of the construction site.

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