Wireless communication networking method based on combination of phased array and AP

Abstract

The invention discloses a wireless communication networking method based on the combination of a phased array and an AP, and the method comprises the steps: obtaining the signal coverage demand data of a construction site, adjusting the direction and shape of a wave beam through a phased antenna technology, so as to align a target receiving point, and determining the stability of a signal transmission path; environment noise and multi-path interference data are extracted from the adjusted signal transmission path, an interference signal is processed by adopting an anti-interference algorithm, and stable signal output is obtained; for the dynamic change data of the construction site environment, updating the direction and coverage range of the phased antenna through a preset beam adjustment mechanism, and determining a signal coverage state after adaptive adjustment; acquiring a signal coverage state after adaptive adjustment, and calculating a coverage expansion range in combination with the deployment position and quantity of the AP equipment to obtain a network distribution result of tip access; and extracting connection demand data of the terminal equipment from a network distribution result, and optimizing signal receiving and transmission parameters through the CPE equipment.

Description

Technical Field

[0001] The present invention relates to the field of information and communication technologies, and in particular, to a wireless communication networking method based on the combination of a phased array and an AP. Background Art

[0002] Wireless communication technology is increasingly widely used in the field of modern engineering construction. Especially in complex scenarios such as reservoir construction sites, efficient and stable network coverage has become a crucial support for ensuring construction progress and management efficiency. The wireless network not only needs to meet the real-time and security requirements of data transmission but also needs to adapt to the special requirements of complex terrain and dynamic environmental changes. Its importance is self-evident. However, current wireless network solutions still have significant limitations in practical applications. Traditional methods mostly rely on fixed base stations or single wireless access technologies, with limited coverage, insufficient anti-interference ability, and poor flexibility in adjusting network configurations in dynamic environments. These defects lead to frequent problems such as network connection interruptions and signal attenuation, and cannot fully meet the diverse needs of the construction site.

[0003] In this field, the core challenges mainly focus on three technical factors: how to achieve high signal transmission stability, anti-interference ability, and network coverage flexibility. Due to insufficient signal transmission stability, it is difficult to guarantee the network quality in complex terrains and long-distance areas; the lack of anti-interference ability makes environmental noise and multipath effects the main obstacles affecting data transmission reliability; and the lack of network coverage flexibility limits the system's ability to quickly respond to dynamic changes on the construction site, such as equipment movement or temporary occlusion. These unsolved technical factors together lead to a unique problem: under limited resources, it is necessary to ensure the efficient operation of the network while taking into account the economy of deployment and the convenience of management.

[0004] Therefore, how to achieve high stability, anti-interference ability, and coverage flexibility of the wireless network in a complex and dynamic environment such as a reservoir construction site by integrating advanced signal transmission technologies and flexible access methods, while combining efficient data management means, has become the key problem that this research urgently needs to solve. Summary of the Invention

[0005] In order to solve the above-mentioned existing technical problems, the present invention provides a wireless communication networking method based on the combination of a phased array and an AP.

[0006] The technical solution of the present invention is realized as follows: A wireless communication networking method based on the combination of a phased array and an AP, comprising: Obtaining signal coverage requirement data of the construction site, adjusting the beam direction and shape through phased antenna technology to align with the target receiving point, and determining the stability of the signal transmission path; Extract environmental noise and multipath interference data from the adjusted signal transmission path, and process the interference signal using an anti-interference algorithm to obtain a stable signal output; For the dynamic change data of the construction site environment, update the pointing and coverage range of the phased antenna through a preset beam adjustment mechanism to determine the signal coverage state after adaptive adjustment; Obtain the signal coverage state after adaptive adjustment, calculate the coverage expansion range in combination with the deployment location and quantity of AP devices, and obtain the network distribution result of end-point access; Extract the connection requirement data of terminal devices from the network distribution result, and optimize the signal reception and transmission parameters through CPE devices.

[0007] Furthermore, the process of determining the stability of the signal transmission path includes: Obtain the requirement data uploaded from the construction site, and determine the signal coverage range by parsing the data content; Extract the on-site environmental characteristics from the signal coverage range, and judge 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 at the alignment angle, and judge the fluctuation range of path stability; Analyze the path stability trend from the fluctuation range, and use the support vector machine algorithm to predict the signal interruption probability; Adjust the antenna parameters through the predicted signal interruption probability to determine the final beam direction and shape.

[0008] Furthermore, the process of obtaining a stable signal output includes: Obtain noise data and interference signals from the signal transmission path, process the interference signals through an anti-interference algorithm to obtain a preliminary signal output; Judge the influence range of multipath interference according to the preliminary signal output, and determine the intensity distribution of interference signals using a preset threshold; Adjust the parameters of the transmission path through the intensity distribution to obtain an optimized path adjustment result; Obtain the change trend of environmental noise from the optimized path adjustment result, and judge the fluctuation range of signal transmission through the change trend; If the fluctuation range exceeds the preset threshold, use the random forest algorithm to predict the distribution characteristics of interference signals to obtain predicted distribution data; Adjust the parameters of the anti-interference algorithm according to the predicted distribution data to obtain the final signal output; Judge the transmission quality of the stable signal through the final signal output to determine the optimization state of the transmission path.

[0009] Furthermore, the process of obtaining the optimized path adjustment result includes: Extract multi-path interference data through preliminary signal output to determine the change characteristics of the influence range; Obtain the fluctuation data of the intensity distribution according to the change characteristics, and judge the deviation degree of the distribution characteristics; Compare the deviation degree with a preset threshold to obtain the adjustment direction of the transmission path; Update the transmission path parameters according to the adjustment direction to determine the preliminary structure of the optimized path; Extract the distribution data of interference analysis from the preliminary structure, and use the support vector machine algorithm to predict the distribution characteristics; Adjust the path parameters according to the predicted distribution characteristics to obtain the final output of the optimized path; Analyze the stability of the signal output through the final output to determine the completion status of the path adjustment.

[0010] Furthermore, the process of determining the signal coverage status after adaptive adjustment includes: Update the beam adjustment parameters of the phased antenna through the dynamic change data of the construction site using a preset mechanism to obtain the preliminary result of pointing update; Obtain the change data of the coverage range from the preliminary result of pointing update, and judge the distribution characteristics of the signal coverage through the change data; 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 to obtain the predicted distribution data; Adjust the pointing parameters of the phased antenna according to the predicted distribution data to obtain the adjusted coverage range status; Judge the fluctuation range of the environmental impact through the adjusted coverage range status to obtain the signal distribution data after adaptive adjustment; Obtain the update trend of the environmental data from the signal distribution data after adaptive adjustment, and determine the final adjustment status through the update trend; Update the parameters of the beam adjustment according to the final adjustment status to obtain a stable signal coverage result.

[0011] Furthermore, it also includes: According to the dynamic change data of the construction site and the preset mechanism, use the support vector machine algorithm to predict the fluctuation trend of the coverage range, obtain the update trend of the environmental data from the signal distribution data after adaptive adjustment, finally determine the adjustment status of the beam adjustment parameters of the phased antenna, and obtain a stable signal coverage result; Specifically, through the dynamic change data of the construction site, use the preset mechanism to obtain the initial parameters of the beam adjustment to obtain the preliminary data of pointing update; Extracting the fluctuation characteristics of coverage from the preliminary data pointing to the update, processing the fluctuation characteristics using the support vector machine algorithm, and obtaining the predicted distribution data; Adjust the pointing parameters of the beam according to the predicted distribution data to obtain adjusted coverage status data; Extract the distribution trend of environmental impacts through adjusted coverage status data, use statistical tools to analyze the distribution trend, and determine the adjustment status of signal coverage; Obtain dynamically changing update data from the adjustment status of signal coverage, and determine the stability status of coverage range through the update data; Adjust beam parameters according to the stability status to obtain stable signal coverage data; The final distribution trend of environmental impact is extracted through stable signal coverage data to determine the beam adjustment state of the phased antenna.

[0012] Furthermore, the process of obtaining the network distribution result of the terminal access includes: The boundary data of the coverage status is obtained through the adaptively adjusted signal coverage status, and the distribution characteristics of the AP devices are extracted in combination with the deployment location to obtain preliminary distribution data; The spatial characteristics of network distribution are obtained from the preliminary distribution data, and the deployment density of AP devices is processed by quantitative calculation to obtain the boundary results of the extended range; The continuity of the network distribution is determined by the boundary results of the extended range. If the continuity is lower than the preset threshold, the clustering algorithm is used to divide the area to obtain the adjusted distribution data; The access point location of the terminal access is obtained according to the adjusted distribution data, and the distribution parameters of the AP device are updated in combination with the location data to determine the optimized network distribution; Extract the fluctuation characteristics of signal coverage from the optimized network distribution, use the support vector machine algorithm to predict the change trend of distribution data, and obtain the predicted distribution state; The stability of the coverage status is determined by the predicted distribution status. If the stability exceeds the preset threshold, the parameters of the deployment location are adjusted to obtain a stable calculation result. The boundary data of the extended range is updated based on the stable calculation results, and the final network distribution of the terminal access is determined in combination with the distribution data.

[0013] Furthermore, it also includes: obtaining coverage boundary data according to the adaptively adjusted signal coverage status, dividing the network area by a clustering algorithm, obtaining optimized terminal access point distribution parameters, using a support vector machine algorithm to predict coverage fluctuation trends, judging coverage stability, and obtaining a final network distribution result; Specifically: obtain boundary data through signal coverage data, use clustering algorithm to process boundary data, divide network areas, and obtain preliminary area division results; Extract spatial features from the preliminary regional division results, update distribution parameters based on access points, and determine adjusted regional distribution data; The deployment density is obtained based on the adjusted regional distribution data, and the continuity of the distribution parameters is determined based on the network area. If the continuity is lower than the preset threshold, the network area is re-divided to obtain the optimized distribution parameters. The fluctuation trend is extracted through the optimized distribution parameters, and the support vector machine algorithm is used to process the fluctuation trend to obtain the predicted coverage status; Extract feature data of coverage status from the predicted coverage status, and judge the stability of coverage status in combination with stability. If the stability exceeds the preset threshold, adjust the deployment density and determine the distribution parameters after stabilization. Update the spatial features according to the stabilized distribution parameters, obtain the adjusted network area in combination with the boundary data, and get the final distribution result; The characteristics of signal coverage are extracted through the final distribution results, and the network distribution of terminal access is determined in combination with the access point locations.

[0014] Furthermore, the process of optimizing signal reception and transmission parameters by the CPE device includes: The connection demand data of terminal devices is extracted through network distribution, and the demand areas are divided by clustering algorithm to obtain regionalized connection demand distribution; Obtain the deployment location of CPE devices based on the regionalized connection demand distribution, adjust signal reception parameters based on the location data, and determine the optimized reception status; Extract the characteristic data of signal transmission from the optimized receiving state, predict the change trend of transmission parameters through the support vector machine algorithm, and obtain the predicted transmission state; The fluctuation range of the connection stability is determined based on the predicted transmission status. If the fluctuation range exceeds the preset threshold, the transmission parameters of the CPE device are adjusted to obtain a stable transmission result. The step of optimizing the signal reception and transmission parameters by the CPE device further includes determining the degree of improvement of the connection stability. The process of determining the degree of improvement of the connection stability includes: Update the connection demand distribution of terminal devices through stable transmission results, determine the coverage range of signal optimization based on distribution data, and obtain the adjusted coverage status; Obtain connection stability change data from the adjusted coverage status, use statistical tools to analyze the degree of change, and determine the final stability result; The network distribution parameters are updated according to the final stability results, and the access efficiency of the terminal equipment is judged in combination with the parameter data to obtain the optimized network distribution state.

[0015] Furthermore, it also includes: according to the degree of improvement of connection stability, a redundant AP deployment algorithm is used to calculate the distribution location of backup access points and determine a guarantee plan for network continuity; Obtain the network data flow in the protection plan, transmit it to the core computer room through the cloud dedicated line, and process the real-time monitoring information in combination with the centralized management platform to obtain the optimized network operation status; After obtaining the optimized network operation status, extract the delay and transmission speed indicators from the optimized network operation status, use the data compression algorithm to adjust the transmission priority, and determine the improvement result of the cloud connectivity; Based on the cloud connectivity data in the improvement results, a real-time analysis report is generated through the centralized management platform and the network configuration is updated to determine the overall network performance on the construction site.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention dynamically adjusts the beam direction and shape of the phased antenna to accurately align with the target receiving point, ensuring the stability of the signal transmission path. At the same time, combined with the real-time evaluation of environmental complexity, the antenna parameters are dynamically optimized, further ensuring the high-quality transmission of signals in complex terrain and long-distance areas. In response to environmental noise and multipath interference, the present invention uses advanced anti-interference algorithms to process interference signals, and predicts the probability of signal interruption through a support vector machine algorithm, dynamically adjusts antenna parameters to optimize the signal transmission path, significantly improving the network's anti-interference capability and ensuring the reliability of data transmission; The present invention monitors the dynamic changes of the construction site environment in real time and adopts a preset mechanism to update the direction and coverage of the phased antenna to ensure the adaptability of network coverage. At the same time, it combines the flexible deployment of AP equipment and the clustering algorithm to optimize the distribution of terminal access points, further improving the flexibility and responsiveness of network coverage. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of a wireless communication networking method based on a phased array combined with an AP according to Example 1; Figure 2 This is a flow chart of a wireless communication networking method based on the combination of a phased array and an AP according to Example 2. DETAILED DESCRIPTION

[0018] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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.

[0019] Example 1 like Figure 1 As shown, this embodiment provides a wireless communication networking method based on the combination of a phased array and an AP, characterized by comprising: Obtain signal coverage demand data at the construction site, adjust the beam direction and shape to align with the target receiving point through phased antenna technology, and determine the stability of the signal transmission path; Extract environmental noise and multipath interference data from the adjusted signal transmission path, use anti-interference algorithm to process interference signals, and obtain stable signal output; Based on the dynamically changing data of the construction site environment, the direction and coverage of the phased antenna are updated through the preset beam adjustment mechanism to determine the signal coverage status after adaptive adjustment; Obtain the signal coverage status after adaptive adjustment, calculate the coverage extension range based on the deployment location and number of AP devices, and obtain the network distribution result of terminal access; Extract the connection demand data of terminal devices from the network distribution results, and optimize the signal reception and transmission parameters through CPE devices.

[0020] Further, the process of determining the stability of the signal transmission path includes: Obtain demand data uploaded by the construction site and determine the signal coverage by analyzing the data content; Extract the on-site environmental features from the signal coverage area and use the preset threshold to determine the environmental complexity; Adjust the phased antenna parameters according to the complexity of the environment to obtain the initial value of the beam direction; The beam shape is calculated by 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 use the support vector machine algorithm to predict the signal interruption probability; The antenna parameters are adjusted by predicting the probability of signal interruption to determine the final beam direction and shape.

[0021] In one embodiment, the process of determining the stability of the signal transmission path may be as follows: Use drones to obtain the site's topographic map and building distribution, obtain equipment location and construction activity data through the construction management system, and upload these data to the central management system; use geographic information system (GIS) software to analyze the topographic map and determine the area that the signal needs to cover. Assume that the coverage area is a circular area with a radius of 500 meters, with the center located at the center of the construction site; determine key coverage points based on equipment location and construction activity data, such as equipment concentration areas and areas with frequent personnel activities; Extract topographic features such as slope and elevation difference. Assume that the slope data is calculated from the contour lines of the topographic map, and the elevation difference data is calculated from the elevation difference of the topographic map. Extract equipment features such as the number and distribution of equipment. Assume that the number of equipment is obtained by counting the equipment location data recorded in the construction management system; Set preset thresholds: slope > 30°, elevation difference > 10 meters, equipment density > 5 units / 100 square meters; 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 thresholds, the environmental complexity of this area is high; For complex areas, adjust the beam width and direction of the phased antenna to reduce signal attenuation and interference. The beam width adjustment formula is:

[0022] where, is the signal wavelength, and d is the antenna aperture; Assume that the signal wavelength is 0.1 meter and the antenna aperture is 1 meter, then the beam width is:

[0023] Obtain the initial value of the beam direction. Assume the initial direction is due north (0°); Use the beamforming 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 a 30° offset position from the beam direction, and the beam shape is Gaussian distribution:

[0024] where, is the angle, is the beam center angle, is half of the beam width; Assume = 30°, = 2.865° (half of the beam width), then the beam intensity at the target receiving point is:

[0025] Determine that the alignment angle of the target receiving point is 30°; Use a signal analyzer to measure the signal strength, time delay, and phase change at the alignment angle. Assume that the measurement results show that the signal strength is -70 dBm, the time delay is 15 μs, and the phase change is 45°. Record the transmission path data; Analyze the transmission path data and calculate the fluctuation range of the signal strength. Assume the fluctuation range is ±5 dBm; Determine whether the fluctuation range exceeds the preset threshold. Assume the preset threshold is ±3 dBm, and the current fluctuation range exceeds the threshold; Use the Support Vector Machine (SVM) algorithm to analyze the fluctuation range and predict the signal interruption probability. Assume that the prediction result of the SVM model shows that the signal interruption probability is 0.15 (15%). The prediction result indicates that the current signal interruption probability is relatively high; According to the prediction result, adjust the power and beam direction of the antenna to optimize the signal coverage. Assume the adjustment formula is:

[0026] where, is the new beam direction, is the old beam direction, is the direction adjustment amount. Assume the current direction is 30° and the adjustment amount is 5°, then the new direction is 35°. Determine the final beam direction and shape; After implementing the adjustment, measure the signal coverage range and stability again. The verification result shows that the signal coverage range expands and the signal interruption probability significantly decreases to 0.05 (5%).

[0027] The process of judging the environmental complexity includes: defining characteristic indicators related to the environmental complexity; setting preset thresholds for each characteristic indicator according to the actual application scenario and experience; collecting relevant environmental data from the site, calculating the values of each characteristic indicator based on the collected data, comparing the calculated characteristic indicator values with the preset thresholds to judge the environmental complexity of each area; comprehensively evaluating the complexity results of each characteristic indicator and calculating the overall environmental complexity.

[0028] Further, the process of obtaining a stable signal output includes: Obtain noise data and interference signals from the signal transmission path, process the interference signals through an anti-interference algorithm to obtain a preliminary signal output; Judge the influence range of multipath interference based on the preliminary signal output, and use a preset threshold to determine the intensity distribution of the interference signals; Adjust the parameters of the transmission path through the intensity distribution to obtain an optimized path adjustment result; Obtain the change trend of the environmental noise from the optimized path adjustment result, and judge the fluctuation range of signal transmission through the change trend; If the fluctuation range exceeds the preset threshold, use the Random Forest algorithm to predict the distribution characteristics of the interference signals to obtain predicted distribution data; Adjust the parameters of the anti-interference algorithm according to the predicted distribution data to obtain the final signal output; Judge the transmission quality of the stable signal through the final signal output and determine the optimized state of the transmission path.

[0029] Further, the process of obtaining the optimized path adjustment result includes: Extract multipath interference data through the preliminary signal output, and determine the change characteristics of the influence range; Obtain the fluctuation data of the intensity distribution according to the change characteristics, and judge the deviation degree of the distribution characteristics; Compare the deviation degree with a preset threshold to obtain the adjustment direction of the transmission path; Update the transmission path parameters according to the adjustment direction to determine the preliminary structure of the optimized path; Extract the distribution data for interference analysis from the preliminary structure, and use the support vector machine algorithm to predict the distribution characteristics; Adjust the path parameters according to the predicted distribution characteristics to obtain the final output of the optimized path; Analyze the stability of the signal output through the final output to determine the completion status of the path adjustment.

[0030] Furthermore, the process of determining the signal coverage status after adaptive adjustment includes: Update the beam adjustment parameters of the phased antenna by using the preset mechanism through the dynamic change data of the construction site, and obtain the preliminary result of the pointing update; Obtain the change data of the coverage range from the preliminary result of the pointing update, and judge the distribution characteristics of the signal coverage through the change data; 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 to obtain the predicted distribution data; Adjust the pointing parameters of the phased antenna according to the predicted distribution data to obtain the coverage range status after adjustment; Judge the fluctuation range of the environmental impact through the coverage range status after adjustment to obtain the signal distribution data after adaptive adjustment; Obtain the update trend of the environmental data from the signal distribution data after adaptive adjustment, and determine the final adjustment status through the update trend; Update the parameters of the beam adjustment according to the final adjustment status to obtain a stable signal coverage result.

[0031] In one embodiment, determining the signal coverage status after adaptive adjustment can be described as follows: The positions of construction equipment and personnel are constantly changing, resulting in dynamic changes in signal coverage requirements. Through the sensor network installed at the construction site, the equipment positions and personnel activity data are collected in real time, and 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; Use a signal analyzer to measure the signal coverage range after updating the beam direction and width. Assume that the change data of the coverage range includes the signal strength S and the coverage area A. Calculate the average signal strength of the coverage area through the measured signal strength distribution data And the standard deviation of the signal strength :

[0032]

[0033] where N is the number of measurement points, is the signal strength at the i-th measurement point; assuming that the measured signal strength data is , , , calculate to obtain and ; Set the preset threshold as:

[0034] Since and exceed the preset threshold, it is necessary to further analyze the fluctuation trend of the signal coverage; Use the support vector machine (SVM) algorithm to predict the fluctuation trend of the coverage range. Assume that the input features of the SVM model are the signal strength S and the coverage area A, and the output is the fluctuation trend of the signal strength , train the SVM model through the training data set to predict the fluctuation trend of the signal strength; assume that the prediction result is

[0035] According to the fluctuation trend predicted by the SVM algorithm , adjust the pointing parameters of the phased antenna:

[0036]

[0037] where, and are the adjustment amounts calculated according to the predicted fluctuation trend; Assume that according to the prediction result, calculate to obtain and , the adjusted beam direction angle and beam width are respectively:

[0038]

[0039] Measure the adjusted signal coverage range. Assume that the measured signal strength distribution data is , , , calculate the average signal strength of the adjusted coverage area and the standard deviation of the signal strength :

[0040]

[0041] Assume that the measurement obtains and ; Analyze the signal distribution data after adaptive adjustment, obtain the update trend of environmental data, and assume that the update trend of environmental data is represented by the change rate of signal strength as follows:

[0042] wherein, is the time interval. Assume that within a period of time, the change rate of signal strength is ; Update the parameters of beam adjustment according to the update trend of environmental data:

[0043]

[0044] wherein, and are the adjustment amounts calculated according to the update trend. Assume that according to the update trend, and are obtained, and the final beam direction angle and beam width are respectively:

[0045]

[0046] Furthermore, the determination of the signal coverage state after adaptive adjustment further includes: according to the dynamic change data of the construction site and a preset mechanism, using the support vector machine algorithm to predict the fluctuation trend of the coverage range, obtaining the update trend of environmental data through the signal distribution data after adaptive adjustment, and finally determining the adjustment state of the phased antenna beam adjustment parameters to obtain a stable signal coverage result; Specifically, through the dynamic change data of the construction site, use the preset mechanism to obtain the initial parameters of beam adjustment to obtain the preliminary data of pointing update; Extract the fluctuation characteristics of the coverage range from the preliminary data of pointing update, use the support vector machine algorithm to process the fluctuation characteristics, and obtain the predicted distribution data; Adjust the pointing parameters of the beam according to the predicted distribution data to obtain the adjusted coverage state data; Extract the distribution trend of environmental impact from the adjusted coverage state data, use statistical tools to analyze the distribution trend, and determine the adjustment state of signal coverage; Obtain dynamically changing update data from the adjustment status of signal coverage, and determine the stability status of coverage range through the update data; Adjust beam parameters according to the stability status to obtain stable signal coverage data; The final distribution trend of environmental impact is extracted through stable signal coverage data to determine the beam adjustment state of the phased antenna.

[0047] Furthermore, the process of obtaining the network distribution result of the terminal access includes: The boundary data of the coverage status is obtained through the adaptively adjusted signal coverage status, and the distribution characteristics of the AP devices are extracted in combination with the deployment location to obtain preliminary distribution data; The spatial characteristics of network distribution are obtained from the preliminary distribution data, and the deployment density of AP devices is processed by quantitative calculation to obtain the boundary results of the extended range; The continuity of the network distribution is determined by the boundary results of the extended range. If the continuity is lower than the preset threshold, the clustering algorithm is used to divide the area to obtain the adjusted distribution data; The access point location of the terminal access is obtained according to the adjusted distribution data, and the distribution parameters of the AP device are updated in combination with the location data to determine the optimized network distribution; Extract the fluctuation characteristics of signal coverage from the optimized network distribution, use the support vector machine algorithm to predict the change trend of distribution data, and obtain the predicted distribution state; The stability of the coverage status is determined by the predicted distribution status. If the stability exceeds the preset threshold, the parameters of the deployment location are adjusted to obtain a stable calculation result. The boundary data of the extended range is updated based on the stable calculation results, and the final network distribution of the terminal access is determined in combination with the distribution data.

[0048] Furthermore, the network distribution result of the terminal access is obtained by: obtaining coverage boundary data according to the adaptively adjusted signal coverage status, dividing the network area by a clustering algorithm, obtaining optimized terminal access point distribution parameters, using a support vector machine algorithm to predict the coverage fluctuation trend, judging the coverage stability, and obtaining the final network distribution result; Specifically: obtain boundary data through signal coverage data, use clustering algorithm to process boundary data, divide network areas, and obtain preliminary area division results; Extract spatial features from the preliminary regional division results, update distribution parameters based on access points, and determine adjusted regional distribution data; The deployment density is obtained based on the adjusted regional distribution data, and the continuity of the distribution parameters is determined based on the network area. If the continuity is lower than the preset threshold, the network area is re-divided to obtain the optimized distribution parameters. The fluctuation trend is extracted through the optimized distribution parameters, and the support vector machine algorithm is used to process the fluctuation trend to obtain the predicted coverage status; Extract feature data of coverage status from the predicted coverage status, and judge the stability of coverage status in combination with stability. If the stability exceeds the preset threshold, adjust the deployment density and determine the distribution parameters after stabilization. Update the spatial features according to the stabilized distribution parameters, obtain the adjusted network area in combination with the boundary data, and get the final distribution result; The characteristics of signal coverage are extracted through the final distribution results, and the network distribution of terminal access is determined in combination with the access point locations.

[0049] Furthermore, the process of optimizing signal reception and transmission parameters by the CPE device includes: The connection demand data of terminal devices is extracted through network distribution, and the demand areas are divided by clustering algorithm to obtain regionalized connection demand distribution; Obtain the deployment location of CPE devices based on the regionalized connection demand distribution, adjust signal reception parameters based on the location data, and determine the optimized reception status; Extract the characteristic data of signal transmission from the optimized receiving state, predict the change trend of transmission parameters through the support vector machine algorithm, and obtain the predicted transmission state; The fluctuation range of the connection stability is determined based on the predicted transmission status. If the fluctuation range exceeds the preset threshold, the transmission parameters of the CPE device are adjusted to obtain a stable transmission result.

[0050] Furthermore, the step of optimizing the signal reception and transmission parameters by the CPE device further includes determining the degree of improvement of the connection stability, and the process of determining the degree of improvement of the connection stability includes: Update the connection demand distribution of terminal devices through stable transmission results, determine the coverage range of signal optimization based on distribution data, and obtain the adjusted coverage status; Obtain connection stability change data from the adjusted coverage status, use statistical tools to analyze the degree of change, and determine the final stability result; The network distribution parameters are updated according to the final stability results, and the access efficiency of the terminal equipment is judged in combination with the parameter data to obtain the optimized network distribution state.

[0051] This embodiment obtains the signal coverage demand data of the construction site, uses phased antenna technology, and adjusts the beam direction and shape to accurately align with the target receiving point. The phased array technology can flexibly control the beam pointing and dynamically adjust according to the target position to ensure the stability of the signal transmission path; Extract environmental noise and multipath interference data from the adjusted signal transmission path, and use anti-interference algorithms to process interference signals. Use support vector machine algorithms to predict signal interruption probability, dynamically adjust antenna parameters, and optimize signal transmission paths; Real-time monitoring of dynamic changes in the construction site environment, using a preset mechanism to update the direction and coverage of the phased antenna. Combined with the flexible deployment of AP equipment and clustering algorithms to optimize the distribution of terminal access points, further improving the flexibility and responsiveness of network coverage; Obtain the signal coverage status after adaptive adjustment, calculate the coverage extension range based on the deployment location and number of AP devices, divide the area through clustering algorithm, use support vector machine algorithm to predict coverage fluctuation trend, judge coverage stability, and finally determine the network distribution of terminal access; Optimize signal reception and transmission parameters through CPE devices. Adjust signal reception parameters according to regionalized connection demand distribution, and use support vector machine algorithm to predict the change trend of transmission parameters to ensure connection stability.

[0052] By dynamically adjusting the beam direction and shape of the phased antenna, the target receiving point is accurately aligned to ensure the stability of the signal transmission path. Even in complex terrain and long-distance areas, network quality can be guaranteed; advanced anti-interference algorithms are used to deal with environmental noise and multipath interference, and the signal interruption probability is predicted by 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; the dynamic changes of the construction site environment are monitored in real time, and the direction and coverage of the phased antenna are updated by a preset mechanism. The flexibility and responsiveness of network coverage are further improved by combining the flexible deployment of AP equipment and the clustering algorithm to optimize the distribution of terminal access points; the clustering algorithm is used to divide the area, and the support vector machine algorithm is used to predict the coverage fluctuation trend, judge the coverage stability, and finally determine the network distribution of terminal access. This makes network coverage more efficient and adapts to the diverse needs of the construction site; the CPE device optimizes the signal reception and transmission parameters to ensure connection stability. According to the degree of improvement in connection stability, the network distribution parameters are further adjusted to optimize network performance.

[0053] Example 2 like Figure 1 As shown, this embodiment provides a wireless communication networking method based on the combination of a phased array and an AP, characterized by comprising: Obtain signal coverage demand data at the construction site, adjust the beam direction and shape to align with the target receiving point through phased antenna technology, and determine the stability of the signal transmission path; Extract environmental noise and multipath interference data from the adjusted signal transmission path, use anti-interference algorithm to process interference signals, and obtain stable signal output; For the dynamic change data of the construction site environment, update the pointing and coverage range of the phased antenna through a preset beam adjustment mechanism, and determine the signal coverage state after adaptive adjustment; Obtain the signal coverage state after adaptive adjustment, calculate the coverage expansion range in combination with the deployment location and quantity of AP devices, and obtain the network distribution result of end - point access; Extract the connection requirement data of terminal devices from the network distribution result, and optimize the signal reception and transmission parameters through CPE devices; Further, the process of determining the stability of the signal transmission path includes: Obtain the requirement data uploaded from the construction site, and determine the signal coverage range by analyzing the data content; Extract the on - site environment characteristics from the signal coverage range, and judge the environmental complexity by 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, and determine the alignment angle of the target receiving point; Obtain the transmission path data at the alignment angle, and judge the fluctuation range of the path stability; Analyze the path stability trend from the fluctuation range, and use the support vector machine algorithm to predict the signal interruption probability; Adjust the antenna parameters through the predicted signal interruption probability to determine the final beam direction and shape.

[0054] The process of judging the environmental complexity includes: defining characteristic indicators related to environmental complexity; setting preset thresholds for each characteristic indicator according to the actual application scenario and experience; collecting relevant environmental data from the site, calculating the values of each characteristic indicator according to the collected data, comparing the calculated characteristic indicator values with the preset thresholds to judge the environmental complexity of each area; comprehensively evaluating the complexity results of each characteristic indicator to calculate the overall environmental complexity.

[0055] Further, the process of obtaining a stable signal output includes: Obtain noise data and interference signals from the signal transmission path, process the interference signals through an anti - interference algorithm to obtain a preliminary signal output; Judge the influence range of multipath interference according to the preliminary signal output, and use a preset threshold to determine the intensity distribution of interference signals; Adjust the parameters of the transmission path through the intensity distribution to obtain an optimized path adjustment result; Obtain the change trend of environmental noise from the optimized path adjustment result, and judge the fluctuation range of signal transmission through the change trend; If the fluctuation range exceeds the preset threshold, then use the random forest algorithm to predict the distribution characteristics of interference signals to obtain predicted distribution data; Adjust the parameters of the anti-interference algorithm according to the predicted distribution data to obtain the final signal output; Judge the transmission quality of the stable signal through the final signal output, and determine the optimization status of the transmission path.

[0056] Further, the process of obtaining the optimized path adjustment result includes: Extract multipath interference data through the preliminary signal output to determine the change characteristics of the influence range; Obtain the fluctuation data of the intensity distribution according to the change characteristics, and judge the deviation degree of the distribution characteristics; Compare the deviation 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 of interference analysis from the preliminary structure, and use the support vector machine algorithm to predict the distribution characteristics; Adjust the path parameters according to the predicted distribution characteristics to obtain the final output of the optimized path; Analyze the stability of the signal output through the final output to determine the completion status of the path adjustment.

[0057] Further, the process of determining the signal coverage status after adaptive adjustment includes: Update the beam adjustment parameters of the phased antenna through the dynamic change data at the construction site by using a preset mechanism to obtain the preliminary result of pointing update; Obtain the change data of the coverage range from the preliminary result of pointing update, and judge the distribution characteristics of the signal coverage through the change data; 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 to obtain the predicted distribution data; Adjust the pointing parameters of the phased antenna according to the predicted distribution data to obtain the coverage range status after adjustment; Judge the fluctuation range of the environmental impact through the coverage range status after adjustment to obtain the signal distribution data after adaptive adjustment; Obtain the update trend of the environmental data from the signal distribution data after adaptive adjustment, and determine the final adjustment status through the update trend; Update the parameters of the beam adjustment according to the final adjustment status to obtain a stable signal coverage result.

[0058] Further, determining the signal coverage status after adaptive adjustment also includes: predicting the fluctuation trend of the coverage range by using the support vector machine algorithm according to the dynamic change data at the construction site and the preset mechanism, obtaining the update trend of the environmental data through the signal distribution data after adaptive adjustment, and finally determining the adjustment status of the beam adjustment parameters of the phased antenna to obtain a stable signal coverage result; Specifically, based on the dynamic change data at the construction site, initial parameters for beam adjustment are obtained using a preset mechanism to obtain preliminary data for pointing update; Fluctuation characteristics of the coverage range are extracted from the preliminary data for pointing update, and the support vector machine algorithm is used to process the fluctuation characteristics to obtain predicted distribution data; The pointing parameters of the beam are adjusted according to the predicted distribution data to obtain the adjusted coverage status data; The distribution trend of environmental impact is extracted from the adjusted coverage status data, and statistical tools are used to analyze the distribution trend to determine the adjustment status of signal coverage; Updated data of dynamic changes are obtained from the adjustment status of signal coverage, and the stability status of the coverage range is judged through the updated data; The beam parameters are adjusted according to the stability status to obtain stable signal coverage data; The final distribution trend of environmental impact is extracted from the stable signal coverage data to determine the beam adjustment status of the phased array antenna.

[0059] Furthermore, the process of obtaining the network distribution result of end - point access includes: Boundary data of the coverage status is obtained through the signal coverage status after adaptive adjustment, and the distribution characteristics of AP devices are extracted in combination with the deployment location to obtain preliminary distribution data; Spatial characteristics of the network distribution are obtained from the preliminary distribution data, and the deployment density of AP devices is processed in combination with quantity calculation to obtain the boundary result of the extended range; The continuity of the network distribution is judged through the boundary result of the extended range. If the continuity is lower than the preset threshold, a clustering algorithm is used to divide the area to obtain the adjusted distribution data; The access point locations of end - point access are obtained according to the adjusted distribution data, and the distribution parameters of AP devices are updated in combination with the location data to determine the optimized network distribution; Fluctuation characteristics of signal coverage are extracted from the optimized network distribution, and the support vector machine algorithm is used to predict the change trend of the distribution data to obtain the predicted distribution status; The stability of the coverage status is judged through the predicted distribution status. If the stability exceeds the preset threshold, the parameters of the deployment location are adjusted to obtain a stable calculation result; The boundary data of the extended range is updated according to the stable calculation result, and the final network distribution of end - point access is determined in combination with the distribution data.

[0060] Further, the obtained network distribution result of the end - point access further includes: obtaining coverage boundary data according to the adaptively adjusted signal coverage status, dividing network areas through a clustering algorithm to obtain optimized distribution parameters of the end - point access points, predicting the coverage fluctuation trend using a support vector machine algorithm, judging the coverage stability, and obtaining the final network distribution result; Specifically: obtaining boundary data through signal coverage data, processing the boundary data using a clustering algorithm to divide network areas, and obtaining a preliminary area division result; Extracting spatial features from the preliminary area division result, updating distribution parameters in combination with access point positions, and determining the adjusted area distribution data; Obtaining the deployment density according to the adjusted area distribution data, judging the continuity of the distribution parameters in combination with the network area. If the continuity is lower than the preset threshold, re - divide the network area to obtain optimized distribution parameters; Extracting the fluctuation trend through the optimized distribution parameters, processing the fluctuation trend using a support vector machine algorithm to obtain the predicted coverage status; Extracting characteristic data of the coverage status from the predicted coverage status, judging the stability of the coverage status in combination with the stability. If the stability exceeds the preset threshold, adjust the deployment density to determine the stabilized distribution parameters; Updating the spatial features according to the stabilized distribution parameters, obtaining the adjusted network area in combination with the boundary data, and obtaining the final distribution result; Extracting the characteristics of signal coverage through the final distribution result, and determining the network distribution of the end - point access in combination with the access point positions.

[0061] Further, the process of optimizing signal reception and transmission parameters through CPE devices includes: Extracting connection requirement data of terminal devices through network distribution, dividing demand areas using a clustering algorithm to obtain a regionalized connection demand distribution; Obtaining the deployment positions of CPE devices according to the regionalized connection demand distribution, adjusting signal reception parameters in combination with position data, and determining the optimized reception status; Extracting characteristic data of signal transmission from the optimized reception status, predicting the change trend of transmission parameters through a support vector machine algorithm to obtain the predicted transmission status; Judging the fluctuation range of connection stability according to the predicted transmission status. If the fluctuation range exceeds the preset threshold, adjust the transmission parameters of the CPE device to obtain a stable transmission result.

[0062] Further, the process of optimizing signal reception and transmission parameters through CPE devices includes: Extracting connection requirement data of terminal devices through network distribution, dividing demand areas using a clustering algorithm to obtain a regionalized connection demand distribution; Obtain the deployment location of the CPE device according to the regionalized connection demand distribution, adjust the signal reception parameters in combination with the location data, and determine the optimized reception state; Extract the characteristic data of signal transmission from the optimized reception state, predict the change trend of the transmission parameters through the support vector machine algorithm, and obtain the predicted transmission state; Judge the fluctuation range of connection stability according to the predicted transmission state. If the fluctuation range exceeds the preset threshold, adjust the transmission parameters of the CPE device to obtain a stable transmission result.

[0063] Furthermore, after optimizing the signal reception and transmission parameters through the CPE device, judge the improvement degree of connection stability. For the improvement degree of connection stability, use the redundant AP deployment algorithm to calculate the distribution location of the standby access points and determine the guarantee scheme for network continuity; The process of determining the guarantee scheme for network continuity includes: analyzing the distribution characteristics of terminal devices through topological data analysis, and dividing regions by using the clustering algorithm to obtain the regionalized demand distribution; Obtain the deployment location of the standby access points from the regionalized demand distribution, calculate the coverage range in combination with the location data, and determine the preliminary network continuity state; Extract the adjustment parameters of the distribution location according to the preliminary network continuity state, update the deployment location of the standby access points through the adjustment parameters, and obtain the optimized coverage range; Extract the fluctuation data of network continuity from the optimized coverage range, analyze the fluctuation range by using statistical tools, and judge whether the fluctuation exceeds the preset threshold; If the fluctuation exceeds the preset threshold, adjust the distribution location of the standby access points according to the fluctuation data to obtain a stable network continuity state; Update the topological data through the stable network continuity state, analyze the access efficiency of terminal devices in combination with the updated topological data, and determine the final optimized state; Extract the change data of the coverage range from the final optimized state, update the regionalized demand distribution through the change data, and obtain the adjusted network continuity scheme.

[0064] Obtain the network data flow in the guarantee scheme, transmit it to the core computer room through the cloud dedicated line, and process the real-time monitoring information in combination with the centralized management platform to obtain the optimized network operation state.

[0065] The process of obtaining the optimized network operation state includes: Obtain network data, transmit it to the core computer room through the cloud dedicated line, and process the real-time monitoring information by using the centralized management platform to obtain the optimized network operation state; Extract the traffic characteristics of data transmission through the cloud dedicated line, analyze the traffic distribution using statistical tools, and judge the load status of network data; Obtain the processing requirements of the core computer room from the load status, allocate information processing tasks using a scheduling algorithm, and obtain a task execution sequence; Update the monitoring information of the centralized management platform according to the task execution sequence, extract the change trend of the operating status through real-time monitoring, and obtain the adjusted operating parameters; If the change trend exceeds the preset threshold, update the resource allocation of the management platform by adjusting the parameters to obtain a stable network operating status; Extract the delay index of data transmission from the stable network operating status, use comparative analysis to judge whether the delay meets the requirements, and obtain an optimized transmission scheme; Update the traffic configuration of the cloud dedicated line through the optimized transmission scheme, and combine with the processing requirements of the core computer room to determine the final network operating status.

[0066] Furthermore, after obtaining the optimized network operating status, extract the delay and transmission speed indexes from the optimized network operating status, use a data compression algorithm to adjust the transmission priority, and judge the improvement result of cloud connectivity; The process of judging the improvement result of cloud connectivity includes: Extract the delay index and transmission speed from the optimized status, use a data compression algorithm to adjust the transmission priority, and obtain a preliminary result of cloud connection; Obtain the change trend of cloud connection from the preliminary result, judge the allocation requirement of transmission priority through the preset threshold, and determine the adjusted priority sequence; Update the processing logic of data compression according to the adjusted priority sequence, obtain the compressed transmission speed, and judge the stability of cloud connection; Extract the load characteristics of network operation from the stability, analyze the load distribution using statistical tools, and obtain a load balancing allocation scheme; Update the configuration parameters of transmission priority through the allocation scheme, obtain the adjusted delay index, and determine the optimization degree of network operation; Extract the response time of cloud connection from the optimization degree, judge the change trend of the response time through comparative analysis, and obtain the final connection status; Update the execution sequence of algorithm adjustment according to the final connection status, obtain the verification data of the improvement result, and judge the completion degree of business processing.

[0067] 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.

[0068] The process of determining the overall network performance at the construction site includes: Obtain real-time data streams from the cloud connection through the management platform, use time series analysis to judge the fluctuation range of the connection status, and obtain initial connection status data; Update the network configuration parameters according to the initial connection status data, judge the priority sequence of configuration adjustment through preset thresholds, and determine the adjusted configuration plan; Obtain the network response data at the construction site through the adjusted configuration plan, use the mean calculation tool to analyze the distribution characteristics of the response data, and obtain the performance distribution result; Update the processing logic of real-time analysis according to the performance distribution result, judge the change trend of the connection status through comparative analysis, and determine the optimized connection status; Obtain the load data of the management platform through the optimized connection status, use the load balancing algorithm to adjust the distribution strategy of the data stream, and obtain the balanced load characteristics; Update the execution sequence of the 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.

[0069] After determining the improvement degree of connection stability in this embodiment, the redundant AP deployment algorithm is used to calculate the distribution positions of the standby access points. By analyzing the connection stability data of the network and combining the layout and equipment distribution of the construction site, the best deployment positions of the standby APs are determined to ensure that when the main AP fails or the signal is unstable, the standby APs can quickly take over to ensure the continuity of the network. In this way, a highly reliable wireless network architecture is formed to reduce the risk of network interruption caused by single-point failures; Obtain the network data stream in the guarantee plan and transmit it to the core computer room through the cloud dedicated line. The cloud dedicated line is a network connection channel with high security, high speed, and low latency, which can ensure the stable transmission of network data. In the core computer room, the centralized management platform is combined to process real-time monitoring information. The centralized management platform can uniformly monitor, manage, and optimize the entire network, analyze the network status in real time, and discover and solve problems in a timely manner. After being processed by the centralized management platform, the optimized network operation status is obtained.

[0070] Extract the delay and transmission speed indicators from the optimized network operation status, use the data compression algorithm to adjust the transmission priority. The data compression algorithm can reduce the data transmission volume and improve the transmission efficiency. At the same time, adjust the transmission priority according to the importance and urgency of the data to ensure the fast transmission of key data; judge the improvement result of the cloud connection. Through optimizing the transmission process, the delay of the cloud connection is reduced and the transmission speed is increased, thereby improving the performance of the entire network.

[0071] For the cloud connectivity data in the improvement results, a real-time analysis report is generated through a centralized management platform. The real-time analysis report can detail the network operation status, performance metrics, existing problems, and optimization suggestions. Based on the real-time analysis report, the centralized management platform updates the network configuration. Updating the configuration can further optimize network performance, adapt to the dynamic changes at the construction site, and ultimately determine the overall network performance at the construction site to ensure that the network can operate efficiently and stably to meet the diverse needs of the construction site.

[0072] In this embodiment, through the redundant AP deployment algorithm, standby access points are reasonably arranged. When the main AP fails, the standby AP can take over in a timely manner to avoid network interruption. This redundancy mechanism greatly improves the reliability of the network and ensures the uninterrupted network service at the construction site. Utilizing the high bandwidth and low latency characteristics of the cloud dedicated line, network data streams are transmitted to the core computer room for centralized management. The centralized management platform can monitor the network status in real time, discover and solve potential problems in a timely manner, and optimize the network configuration. At the same time, by adjusting the transmission priority through the data compression algorithm, the data transmission efficiency is further improved. By optimizing the transmission process, the latency of the cloud connection is reduced and the transmission speed is increased, which enables the devices at the construction site to access cloud resources more quickly and improves work efficiency. The centralized management platform can generate a real-time analysis report, providing detailed network operation information for network administrators. Based on the real-time analysis report, administrators can adjust the network configuration in a timely manner to optimize network performance. This intelligent management method improves the efficiency and accuracy of network management. Integrating the redundant AP deployment, cloud dedicated line transmission, data compression algorithm, and the optimization functions of the centralized management platform, the finally determined network configuration can meet the diverse needs of the construction site, and the overall network performance is significantly improved, providing a strong guarantee for the construction progress and management efficiency at the construction site.

[0073] The specific implementation manners of the invention have been described in detail above, but they are only examples. The invention is not limited to the specific implementation manners described above. Those skilled in the art should understand that the above embodiments and descriptions in the specification only illustrate the principles of the invention. Without departing from the spirit and scope of the invention, the invention will have various changes and improvements, and these changes and improvements all fall within the scope of the invention claimed. The scope of protection of the invention is defined by the appended claims and their equivalents.

Claims

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

2. The wireless communication networking method based on the combination of phased array and AP according to claim 1, wherein The process of determining the stability of the signal transmission path includes: Obtain the requirement data uploaded from the construction site, and determine the signal coverage range by parsing the data content; Extract the on-site environmental characteristics from the signal coverage range, and judge 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, and determine the alignment angle of the target receiving point; Obtain the transmission path data at the alignment angle, and judge the fluctuation range of the path stability; Analyze the path stability trend from the fluctuation range, and predict the signal interruption probability using the support vector machine algorithm; Adjust the antenna parameters through the predicted signal interruption probability to determine the final beam direction and shape.

3. A wireless communication networking method based on the combination of phased array and AP according to claim 1, characterized in that, The process of obtaining a stable signal output includes: Obtain the noise data and interference signal from the signal transmission path, process the interference signal using an anti-interference algorithm, and obtain a preliminary signal output; Judge the influence range of multipath interference according to the preliminary signal output, and determine the intensity distribution of the interference signal using a preset threshold; Adjust the parameters of the transmission path through the intensity distribution to obtain an optimized path adjustment result; Obtain the change trend of the environmental noise from the optimized path adjustment result, and judge the fluctuation range of the signal transmission through the change trend; If the fluctuation range exceeds the preset threshold, then predict the distribution characteristics of the interference signal using the random forest algorithm to obtain the predicted distribution data; Adjust the parameters of the anti-interference algorithm according to the predicted distribution data to obtain the final signal output; Judge the transmission quality of the stable signal through the final signal output, and determine the optimized state of the transmission path.

4. A wireless communication networking method based on the combination of phased array and AP according to claim 3, characterized in that, The process of obtaining the optimized path adjustment result includes: Extract the multipath interference data through the preliminary signal output, and determine the change characteristics of the influence range; Obtain the fluctuation data of the intensity distribution according to the change characteristics, and judge the deviation degree of the distribution characteristics; Compare the deviation degree using 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 of interference analysis from the preliminary structure, and predict the distribution characteristics using the support vector machine algorithm; Adjust the path parameters according to the predicted distribution characteristics to obtain the final output of the optimized path; Analyze the stability of the signal output through the final output, and determine the completion state of the path adjustment.

5. A wireless communication networking method based on the combination of phased array and AP according to claim 1, characterized in that The process of determining the signal coverage state after adaptive adjustment includes: Based on the dynamic change data at the construction site, the beam adjustment parameters of the phased antenna are updated using a preset mechanism to obtain a preliminary result of pointing update; Obtain the change data of the coverage range from the preliminary result of pointing update, and judge the distribution characteristics of signal coverage through the change data; If the distribution characteristics of signal coverage exceed the preset threshold, use the support vector machine algorithm to predict the fluctuation trend of the coverage range to obtain predicted distribution data; Adjust the pointing parameters of the phased antenna according to the predicted distribution data to obtain the adjusted coverage range state; Judge the fluctuation range of environmental impact through the adjusted coverage range state to obtain signal distribution data adapted to the adjustment; Obtain the update trend of environmental data from the signal distribution data adapted to the adjustment, and determine the final adjustment state through the update trend; Update the parameters of beam adjustment according to the final adjustment state to obtain a stable signal coverage result.

6. A wireless communication networking method based on the combination of phased array and AP according to claim 5, characterized in that, It further includes: Based on the dynamic change data at the construction site and the preset mechanism, use the support vector machine algorithm to predict the fluctuation trend of the coverage range, obtain the update trend of environmental data through the signal distribution data adapted to the adjustment, and finally determine the adjustment state of the beam adjustment parameters of the phased antenna to obtain a stable signal coverage result; Specifically, based on the dynamic change data at the construction site, use the preset mechanism to obtain the initial parameters of beam adjustment to obtain preliminary data of pointing update; Extract the fluctuation characteristics of the coverage range from the preliminary data of pointing update, process the fluctuation characteristics using the support vector machine algorithm to obtain predicted distribution data; Adjust the pointing parameters of the beam according to the predicted distribution data to obtain the adjusted coverage state data; Extract the distribution trend of environmental impact from the adjusted coverage state data, analyze the distribution trend using statistical tools to determine the adjustment state of signal coverage; Obtain the updated data of dynamic change from the adjustment state of signal coverage, and judge the stability state of the coverage range through the updated data; Adjust the beam parameters according to the stability state to obtain stable signal coverage data; Extract the final distribution trend of environmental impact from the stable signal coverage data to determine the beam adjustment state of the phased antenna.

7. A wireless communication networking method based on the combination of phased array and AP according to claim 1, characterized in that The process of obtaining the network distribution result of end - point access includes: Obtain the boundary data of the coverage state through the signal coverage state adapted to the adjustment, combine the deployment location to extract the distribution characteristics of AP devices to obtain preliminary distribution data; Obtain the spatial characteristics of network distribution from the preliminary distribution data, combine the quantity calculation to process the deployment density of AP devices to obtain the boundary result of the extended range; Judge the continuity of network distribution through the boundary result of the extended range. If the continuity is lower than the preset threshold, use the clustering algorithm to divide the area to obtain the adjusted distribution data; Obtain the access point positions of end - point access according to the adjusted distribution data, combine the position data to update the distribution parameters of AP devices to determine the optimized network distribution; Extract the fluctuation characteristics of signal coverage from the optimized network distribution, use the support vector machine algorithm to predict the change trend of distribution data to obtain the predicted distribution state; The stability of the coverage status is determined by the predicted distribution status. If the stability exceeds the preset threshold, the parameters of the deployment location are adjusted to obtain a stable calculation result. The boundary data of the extended range is updated based on the stable calculation results, and the final network distribution of the terminal access is determined in combination with the distribution data.

8. A wireless communication networking method based on the combination of phased array and AP according to claim 7, characterized in that, Also includes: The coverage boundary data is obtained according to the adaptively adjusted signal coverage status, the network area is divided by clustering algorithm, the optimized terminal access point distribution parameters are obtained, and the support vector machine algorithm is used to predict the coverage fluctuation trend, judge the coverage stability, and obtain the final network distribution result; Specifically: obtain boundary data through signal coverage data, use clustering algorithm to process boundary data, divide network areas, and obtain preliminary area division results; Extract spatial features from the preliminary regional division results, update distribution parameters based on access points, and determine adjusted regional distribution data; The deployment density is obtained based on the adjusted regional distribution data, and the continuity of the distribution parameters is determined based on the network area. If the continuity is lower than the preset threshold, the network area is re-divided to obtain the optimized distribution parameters. The fluctuation trend is extracted through the optimized distribution parameters, and the support vector machine algorithm is used to process the fluctuation trend to obtain the predicted coverage status; Extract feature data of coverage status from the predicted coverage status, and judge the stability of coverage status in combination with stability. If the stability exceeds the preset threshold, adjust the deployment density and determine the distribution parameters after stabilization. Update the spatial features according to the stabilized distribution parameters, obtain the adjusted network area in combination with the boundary data, and get the final distribution result; The characteristics of signal coverage are extracted through the final distribution results, and the network distribution of terminal access is determined in combination with the access point locations.

9. A wireless communication networking method based on the combination of phased array and AP according to claim 1, characterized in that The process of optimizing signal reception and transmission parameters by the CPE device includes: The connection demand data of terminal devices is extracted through network distribution, and the demand areas are divided by clustering algorithm to obtain regionalized connection demand distribution; Obtain the deployment location of CPE devices based on the regionalized connection demand distribution, adjust signal reception parameters based on the location data, and determine the optimized reception status; Extract the characteristic data of signal transmission from the optimized receiving state, predict the change trend of transmission parameters through the support vector machine algorithm, and obtain the predicted transmission state; The fluctuation range of the connection stability is determined based on the predicted transmission status. If the fluctuation range exceeds the preset threshold, the transmission parameters of the CPE device are adjusted to obtain a stable transmission result. The step of optimizing the signal reception and transmission parameters by the CPE device further includes determining the degree of improvement of the connection stability. The process of determining the degree of improvement of the connection stability includes: Update the connection demand distribution of terminal devices through stable transmission results, determine the coverage range of signal optimization based on distribution data, and obtain the adjusted coverage status; Obtain connection stability change data from the adjusted coverage status, use statistical tools to analyze the degree of change, and determine the final stability result; The network distribution parameters are updated according to the final stability results, and the access efficiency of the terminal equipment is judged in combination with the parameter data to obtain the optimized network distribution state.

10. A wireless communication networking method based on the combination of phased array and AP according to claim 1, characterized in that, further comprising: aiming at the improvement degree of connection stability, using a redundant AP deployment algorithm to calculate the distribution positions of standby access points and determining a guarantee scheme for network continuity; obtaining the network data stream in the guarantee scheme, transmitting it to the core computer room through a cloud dedicated line and combining it with a centralized management platform to process real-time monitoring information, and obtaining an optimized network operation state; after obtaining the optimized network operation state, extracting delay and transmission speed indicators from the optimized network operation state, using a data compression algorithm to adjust the transmission priority, and judging the improvement result of cloud connectivity; aiming at the cloud connectivity data in the improvement result, generating a real-time analysis report through a centralized management platform and updating the network configuration to determine the overall network performance of the construction site.

Images