Intelligent measurement and control method and system for super-high bridge tower based on camera array

Abstract

The application discloses a kind of based on camera array's super-high bridge tower intelligent measurement and control method and system thereof, be provided with camera array monitoring module, image acquisition and processing module, monitoring device, bridge tower state evaluation and prediction module, bridge tower intelligent control and early warning module, by being arranged target on bridge tower along vertical direction, and through array camera monitoring each target real-time displacement of super-high bridge tower full height range, monitoring device obtains environmental parameter and stress data, in bridge tower state evaluation and prediction module, bridge tower structure state model is established, the future linear change trend of bridge tower is predicted and through bridge tower intelligent control and early warning module, bridge tower is carried out real-time early warning and control, realize the automatic monitoring and intelligent control of bridge tower structure all-weather linear, effectively improve measurement efficiency, reduce manpower cost, guarantee the accuracy and reliability of measurement result, improve bridge tower construction quality.

Description

Technical Field

[0001] This invention relates to the field of bridge structure construction technology. More specifically, this invention relates to a method and system for intelligent measurement and control of ultra-high bridge towers based on a camera array. Background Technology

[0002] With the construction of a large number of long-span bridges, the bridge tower structure, as the main load-bearing component, is also gradually developing towards a height of 400m. As the height increases, the construction environment of the bridge tower becomes increasingly harsh, and high-precision measurement and control of the bridge tower will become the key to the high-quality construction of the bridge tower.

[0003] Currently, traditional methods for monitoring and controlling bridge tower alignment mainly rely on manual measurement using total stations. By conducting manual measurements and analyzing alignment data at irregular intervals during the day and night, the alignment of bridge towers can be monitored and controlled. Although this method has high accuracy, it is complex, time-consuming, and labor-intensive, making it difficult to achieve real-time monitoring and timely control around the clock. Summary of the Invention

[0004] One object of the present invention is to solve at least the above-mentioned problems and to provide at least the advantages that will be described later.

[0005] Another objective of this invention is to provide a method and system for intelligent measurement and control of ultra-high bridge towers based on camera arrays, in order to solve the technical problem that existing technologies lack the ability to automatically monitor and predict the alignment of bridge tower structures in all weather conditions.

[0006] To achieve these objectives and other advantages according to the present invention, in one aspect, the present invention provides an intelligent measurement and control method for ultra-high bridge towers based on a camera array, comprising the following steps:

[0007] S1. Based on the height and shape of the bridge tower, plan the number and position of cameras at the bottom of the bridge tower to form a camera array. Install a row of targets at height intervals on the bridge tower, with the number of cameras corresponding to the number of targets. Adjust the focal length of each camera to cover all targets within the full height range of the monitoring bridge tower, and then conduct image quality testing and calibration.

[0008] S2. Install bridge tower measuring elements at the current construction segment of the bridge tower. The measuring elements are used to measure the physical parameters of the bridge tower at each time point, including wind speed, temperature and stress.

[0009] S3. As the bridge tower segments are constructed, targets of corresponding height ranges are installed sequentially. Each camera continuously acquires image data of the corresponding target on the bridge tower at a preset frequency. The acquired image data is processed and calculated to obtain the displacement result of the bridge tower at the target. Simultaneously, the measurement data of the bridge tower status is collected.

[0010] S4. By combining the real-time acquisition of bridge tower displacement results and bridge tower status measurement data, a machine learning model based on the bridge tower structure is established. The image data and measurement data are monitored and acquired in real time. The measurement data is used as the input of training parameters and the displacement results are used as the output to train and correct the model, and the error between the model output and the measured data is less than 5%.

[0011] S5. Using a trained machine learning model, input real-time monitored image data and measurement data, output predicted displacement data, predict the future bridge tower alignment, and evaluate the current bridge tower construction alignment based on the original design alignment.

[0012] S6. Based on the prediction results, when the measured data and predicted data exceed the original design alignment deviation threshold, formulate and implement bridge tower alignment correction measures.

[0013] Preferably, the machine learning model is based on time series, and uses the displacement results at the same time node and the measurement data affecting the change of bridge tower alignment as input samples for optimization and training. The measurement data affecting the change of bridge tower alignment also includes sunlight and load.

[0014] Preferably, it also includes setting up a triggering early warning mechanism when the measured data and predicted data exceed the original design alignment deviation threshold. After the early warning information is issued, the construction personnel adjust the positioning and displacement of the subsequent bridge tower formwork or segments in height segment by segment until they approach the original design alignment.

[0015] Preferably, when adjusting the height of the bridge tower template or segment by segment, the height of each segment increases sequentially from bottom to top.

[0016] Preferably, when arranging the camera array, a support base is set at the bottom of the side of the bridge tower where the target is to be placed. The support base includes a horizontally arranged sliding plate and a platform set at both ends of the sliding plate. The sliding plate is parallel to the surface of the side of the bridge tower where the target is to be placed. The sliding plate and the platform are detachably and fixedly connected. Multiple sliding platforms are slidably connected on the sliding plate. A camera is fixed at the top center of the sliding platform. A magnetic suction component is set at the bottom of the sliding platform. A support leg is set along the length direction at the bottom of the sliding plate. A horizontally arranged receiving target plate is detachably connected to the top of the platform. A two-dimensional coordinate scale is set on the receiving target plate. A laser plumb line is set at the top of the bridge tower construction platform directly above the receiving target plate.

[0017] When constructing upwards from the bridge tower construction platform, a laser plumb bob is fixedly installed on the corresponding side of the construction platform. A support base is installed at the bottom of the bridge tower, and the camera is fixed on a sliding platform. The platform is moved along the sliding plate, and the corresponding position of each camera is adjusted to cover all the targets set up according to the construction progress. Then, the sliding platform is temporarily fixed on the corresponding position on the sliding plate using magnetic attachments. A receiving target plate is set on the top of the platform. The laser plumb bob is turned on, and the laser landing point is displayed on the receiving target plate. Every time the construction platform moves one construction segment, the horizontal displacement change of the observed laser landing point on the receiving target plate is recorded. When installing the target outside the current construction segment, the target position is analyzed by the camera within the corresponding monitoring height range. After the construction platform moves upwards, the corresponding height bridge tower segment is adjusted to match the horizontal displacement change to fix the target position.

[0018] On the other hand, the present invention also provides an intelligent measurement and control system for ultra-high bridge towers based on a camera array, comprising:

[0019] Targets are set vertically at intervals on one side of the bridge tower;

[0020] The camera array monitoring module includes multiple cameras, with the number of cameras corresponding one-to-one with the number of targets, to monitor the targets on the bridge tower at all heights in real time.

[0021] The image acquisition and processing module is used to acquire the target image captured by the camera, and then to identify and analyze it to obtain the displacement result that changes with time interval.

[0022] The monitoring device includes temperature sensors, wind speed sensors, and stress sensors installed in the construction sections of the bridge tower, which are used to capture data changes of various environmental parameters and structural stress of the bridge tower in real time.

[0023] The bridge tower condition assessment and prediction module is used to acquire the displacement results calculated by the image acquisition and processing module and the measurement data sent by the monitoring device, and to predict the current bridge tower construction alignment based on the machine learning model.

[0024] The bridge tower intelligent control and early warning module is connected to the monitoring device and the bridge tower status assessment and prediction module, respectively. It is used to establish the alignment monitoring threshold, and after obtaining the prediction results and measurement data of the bridge tower status assessment and prediction module, it compares them with the alignment monitoring threshold and proposes bridge tower alignment correction measures.

[0025] Preferably, the cameras of the camera array monitoring module are installed in an array at the base of the bridge tower, with the camera lenses set parallel to the vertical exterior of the bridge tower. By adjusting the camera focal length, the field of view of the camera can sequentially cover all targets from the bottom to the top of the bridge tower, and the camera array monitoring module can acquire target images within the entire height range of the bridge tower.

[0026] Preferably, it also includes a cloud platform, which is communicatively connected to the image acquisition and processing module. The image acquisition and processing module acquires images of the target on the bridge tower by the camera at a set frequency, calculates the change of the target center in the camera pixel coordinates, obtains the planar displacement of the bridge tower where the target is located and its process curve over time, and uploads and saves the calculated data to the cloud platform for storage.

[0027] The present invention has at least the following beneficial effects: The intelligent measurement and control method and system for ultra-high bridge towers based on camera arrays of the present invention includes a camera array monitoring module, an image acquisition and processing module, a monitoring device, a bridge tower status assessment and prediction module, and a bridge tower intelligent control and early warning module. By arranging targets vertically on the bridge tower and monitoring the real-time displacement of each target across the entire height range of the ultra-high bridge tower using an array camera, the monitoring device acquires environmental parameters and stress data. The bridge tower status assessment and prediction module establishes a bridge tower structural status model, predicts the future trend of the bridge tower's alignment, and provides real-time early warning and control of the bridge tower through the bridge tower intelligent control and early warning module. This achieves automatic monitoring and intelligent control of the bridge tower structure's alignment in all weather conditions, effectively improving measurement efficiency, reducing labor costs, ensuring the accuracy and reliability of measurement results, and enhancing the construction quality of the bridge tower.

[0028] Other advantages, objectives and features of the present invention will become apparent in part from the following description, and in part from those skilled in the art through study and practice of the invention. Attached Figure Description

[0029] Figure 1 This is a flowchart illustrating the intelligent measurement and control method for ultra-high bridge towers based on camera arrays according to the present invention.

[0030] Figure 2 This is a schematic diagram of the camera and target arrangement on the bridge tower according to the present invention.

[0031] Figure 3 This is a schematic diagram of the camera arrangement at the bottom of the bridge tower according to the present invention;

[0032] Figure 4 This is a schematic diagram illustrating the segmented adjustment of the bridge tower profile according to an embodiment of the present invention.

[0033] Figure 5 This is a schematic diagram of the structure of a support base according to an embodiment of the present invention;

[0034] The following are the reference numerals in the instruction manual: 1. Bridge tower, 2. Camera array, 3. Target, 4. Measuring element, 5. Slide plate, 6. Base, 7. Slide table, 8. Support leg, 9. Target receiving plate. Detailed Implementation

[0035] The present invention will now be described in further detail with reference to the accompanying drawings, so that those skilled in the art can implement it based on the description.

[0036] It should be noted that, unless otherwise specified, the experimental methods described in the following embodiments are all conventional methods, and the reagents and materials described are all commercially available unless otherwise specified. In the description of this invention, the terms "lateral", "longitudinal", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0037] like Figure 1-4 As shown, this invention provides an intelligent measurement and control method for ultra-high bridge towers based on a camera array, comprising the following steps:

[0038] S1. Based on the height and shape of the bridge tower 1, plan the number and position of cameras to be installed at the bottom of the bridge tower 1 to form a camera array 2. Install a row of targets 3 at height intervals on the bridge tower 1. The number of cameras and targets 3 correspond one-to-one. Adjust the focal length of each camera to cover all targets 3 in the full height range of the monitoring bridge tower 1. Then, perform image quality testing and calibration.

[0039] The cameras are mounted in an array at the base of bridge tower 1. The side of bridge tower 1 where the target 3 is mounted is vertical. Targets 3 are installed in layers according to requirements throughout the entire height of bridge tower 1. The camera lenses are set parallel to the vertical bridge tower 1. By adjusting the focal length of each camera, the field of view of each camera can sequentially cover the target 3 of bridge tower 1 within a certain height range from the bottom to the top of bridge tower 1. By connecting all cameras in the array, clear images of the entire height range of bridge tower 1 can be obtained. The individual cameras in the array can operate independently or synchronously acquire images of the target 3 of bridge tower 1 at different stages according to the height division of bridge tower 1.

[0040] S2. Install measuring element 4 at the current construction segment of bridge tower 1. The measuring element 4 is used to measure the physical parameters of the bridge tower 1 at each time point, including wind speed, temperature and stress.

[0041] The measuring element 4 is installed on the top of the construction platform of bridge tower 1. As the construction platform of bridge tower 1 rises, it continuously monitors the physical environment parameters such as wind speed and temperature at the highest position of bridge tower 1.

[0042] S3. As the bridge tower 1 segment is constructed, targets 3 of corresponding height range are installed sequentially. Each camera continuously acquires image data of the corresponding target 3 on the bridge tower 1 according to a preset frequency. The acquired image data is processed and calculated to obtain the displacement result of the bridge tower 1 at the target 3. Simultaneously, the measurement data of the state of the bridge tower 1 is collected.

[0043] The displacement of bridge tower 1 at each measurement moment is obtained by extracting the position of image pixels and transforming the spatial coordinate system of target 3 pixels.

[0044] S4. By combining the real-time displacement results of bridge tower 1 and the measurement data of the state of bridge tower 1, a machine learning model based on the structure of bridge tower 1 is established. The image data and measurement data are monitored and acquired in real time. The measurement data is used as the input of training parameters and the displacement results are used as the output to train and correct the model, and the error between the model output and the measured data is less than 5%.

[0045] Machine learning methods were used to train a simplified model of bridge tower 1 with a large amount of displacement measurement data and environmental variables as input, which was used to accurately predict the future alignment of bridge tower 1.

[0046] S5. Using a trained machine learning model, input real-time monitored image data and measurement data, output predicted displacement data, predict the future alignment of bridge tower 1, and evaluate the current construction alignment of bridge tower 1 based on the original design alignment.

[0047] Based on the construction plan for bridge tower 1, the design alignment and corresponding location and size data of bridge tower 1 are generated. The safety of deviations in the alignment is assessed, and early warnings and corrections can be made in advance.

[0048] S6. Based on the prediction results, when the measured data and predicted data exceed the original design alignment deviation threshold, formulate and implement construction control strategies such as alignment correction measures for bridge tower 1 to assist in construction management and control decisions.

[0049] The present invention provides an intelligent measurement and control method for ultra-high bridge tower 1 based on camera array 2. By arranging targets 3 vertically on the bridge tower 1 and monitoring the real-time displacement of each target 3 across the entire height range of the ultra-high bridge tower 1 using array cameras, a structural state model of the bridge tower 1 is established. This method predicts the future linear change trend of the bridge tower 1 and provides real-time early warning and control, thereby achieving automatic monitoring and intelligent control of the bridge tower 1's structural alignment around the clock. This effectively improves measurement efficiency, reduces labor costs, ensures the accuracy and reliability of measurement results, and enhances the construction quality of the bridge tower 1.

[0050] In another technical solution, such as Figure 1-4As shown, the machine learning model is based on time series data. It uses displacement results at the same time point and measurement data affecting the alignment change of bridge tower 1 as input samples for optimization and training. Measurement data affecting the alignment change of bridge tower 1 also include sunlight and load. Sensors are installed to monitor factors such as wind speed, temperature, sunlight, and external load that affect construction quality and the alignment change of bridge tower 1. This data is reflected in the monitoring results of the array camera on target 3, allowing for more accurate prediction of the construction alignment, timely adjustment of construction deviations, and ensuring alignment stability.

[0051] In another technical solution, such as Figure 1-4 As shown, it also includes setting up a triggering early warning mechanism when the measured data and predicted data exceed the original design alignment deviation threshold. After the early warning information is issued, the construction personnel will adjust the positioning and displacement of the subsequent bridge tower 1 template or segment by segment in height until it approaches the original design alignment.

[0052] By comparing the predicted alignment with the original design alignment, the difficulty of construction adjustment is reduced by adjusting the alignment segment by segment. Based on the position of the completed bridge tower segment 1, measurement data is collected again to predict the alignment, and the adjustment amount of the next segment is determined based on the new predicted alignment.

[0053] In another technical solution, such as Figure 1-4 As shown, when adjusting the height of the bridge tower 1 template or segment by segment, the height of each segment increases sequentially from bottom to top. Utilizing the trend of the arc shape change, after each adjustment from bottom to top, the range of segment height adjustment is increased to better approximate the original design alignment and improve adjustment efficiency.

[0054] The following is a specific case study of the intelligent measurement and control method for a super-high bridge tower 1 based on camera array 2 of the present invention for the regulation of a certain bridge tower 1, combined with... Figure 1-4 As shown, follow these steps in sequence:

[0055] (1) Install targets 3 on bridge tower 1 at height intervals of 15-20m according to monitoring requirements;

[0056] (2) During the construction or installation of a certain bridge tower 1, temperature, wind speed, stress and other sensors were installed at the location of the construction segment of bridge tower 1 (height 150m). The temperature at the height was 25℃, the wind speed was 15m / s and the stress of the related auxiliary structures were detected. The elastic modulus of the structure was measured to be 36.52GPa. The test data varied with the construction height of bridge tower 1.

[0057] (3) Cameras are set up at the base of the tower, with one set of cameras installed every 80 to 100 meters in height, according to the predetermined visible focal length range. The targets 3 on the bridge tower 1 within the range are monitored, and the targets 3 within the range are continuously photographed at a preset frequency of 0.5 to 2 Hz. The pixel changes of targets 3 in the images are compared at different time periods, and the image coordinates are converted into the displacement change value of targets 3 on bridge tower 1 within the time period of 11 mm through the edge settlement module.

[0058] (4) Establish a machine learning model, embed the simplified influence line calculation model of bridge tower 1, and use the temperature, wind speed and elastic modulus parameters of bridge tower 1 that affect the shape of bridge tower 1 at each stage as training parameters, and the displacement as the output result to carry out model training.

[0059] (5) During the training process, by continuously comparing the measured results, the structural elastic modulus parameter of bridge tower 1 (34.5 GPa) and the predicted segment displacement value of bridge tower 1 (11.7 mm) were optimized and corrected.

[0060] (6) During the upward construction of bridge tower 1, there may be deviations from the original design alignment. When the deviation exceeds the design limit, an early warning will be issued in the system to remind the construction personnel to take corrective measures.

[0061] (7) When the bridge tower 1 alignment shows an early warning message, the construction personnel adjust the positioning and displacement of the subsequent bridge tower 1 templates or segments section by section, with a horizontal adjustment amount of 10mm, to get closer to the original design alignment.

[0062] In another technical solution, such as Figure 2-3 As shown in Figure 5, when arranging the camera array 2, a support base is set at the bottom of the side of the bridge tower 1 where the target 3 is to be placed. The support base includes a horizontally arranged sliding plate 5 and a platform 6 vertically arranged at both ends of the sliding plate 5. The sliding plate 5 is parallel to the surface of the side of the bridge tower 1 where the target 3 is to be placed. The sliding plate 5 and the platform 6 are detachably and fixedly connected. Multiple sliding tables 7 are slidably connected on the sliding plate 5. A camera 2 is fixed at the top center of the sliding table 7. A magnetic suction component is provided at the bottom of the sliding table 7. A support leg 8 is provided along the length direction at the bottom of the sliding plate 5. A horizontally arranged receiving target plate 9 is detachably connected to the top of the platform 6. A two-dimensional coordinate scale is provided on the receiving target plate 9. A laser plumb line is set at the top of the construction platform of the bridge tower 1, directly above the receiving target plate 9.

[0063] When constructing upwards from the bridge tower 1 construction platform, a laser plumb bob is fixedly installed on the corresponding side of the construction platform. A support base is installed at the bottom of the bridge tower 1, and the camera is fixed on the sliding table 7. The camera is moved along the sliding plate 5, and the corresponding position of each camera is adjusted to cover and monitor all the targets 3 set up according to the construction progress. Then, the sliding table 7 is temporarily fixed on the corresponding position on the sliding plate 5 using magnetic attachments. A receiving target plate 9 is set on the top of the platform 6. The laser plumb bob is turned on, and the laser landing point is displayed on the receiving target plate 9. Every time the construction platform moves one construction segment, the horizontal displacement change of the observed laser landing point on the receiving target plate 9 is recorded. When installing the target 3 outside the current construction segment, the position of the target 3 is analyzed by the camera within the corresponding monitoring height range. After the construction platform moves upwards, the corresponding height of the bridge tower 1 segment is adjusted to match the horizontal displacement change to fix the target 3.

[0064] The structural arrangement of the sliding platform 7 and the sliding plate 5 can be achieved by setting a transverse through-hole at the lower end of the sliding platform 7, with the sliding hole having the same cross-sectional dimensions as the sliding plate 5 in the width direction. A magnetic suction device is set at the bottom of the sliding platform 7 and temporarily fixed to the bottom of the sliding plate 5 by adhering upwards. The target 3 is installed on the side of the bridge tower 1 after construction. Each time the construction platform moves up by the height of one construction segment of the bridge tower 1, since the laser plumb bob is fixed on the construction platform, the change in the horizontal position of the laser plumb bob produced by each movement of the construction platform is equivalent to the change in the horizontal position of the corresponding height of the bridge tower 1 segment. This guides the subsequent installation position of the target 3 on the corresponding segment of the bridge tower 1, ensuring that the position of the target 3 installed on each segment of the bridge tower 1 is in the same plane position, such as aligning the centerline of the corresponding side of each segment of the bridge tower 1, to reduce the difficulty of aligning the target 3 and make the camera more accurate in detecting the spatial position change of the target 3 and eliminating installation errors. The camera array 2 provides real-time dynamic monitoring of the construction position change and upward linear change trend of the bridge tower 1 segment in the entire construction process and in three-dimensional space.

[0065] This invention also provides an intelligent measurement and control system for an ultra-high bridge tower 1 based on a camera array 2, such as... Figure 2-3 As shown, it includes:

[0066] Target 3 is set vertically at intervals on one side of bridge tower 1;

[0067] The camera array 2 monitoring module includes multiple cameras, with the number of cameras corresponding one-to-one with the number of targets 3, to monitor the targets 3 on the bridge tower 1 at all heights in real time.

[0068] The image acquisition and processing module is used to acquire the target 3 image captured by the camera, and then to identify and analyze it to obtain the displacement result that changes with the time interval.

[0069] The monitoring device includes temperature sensors, wind speed sensors, and stress sensors installed in the construction section of bridge tower 1, which are used to capture data changes of various environmental parameters and structural stress of bridge tower 1 in real time.

[0070] The bridge tower 1 status assessment and prediction module is used to acquire the displacement results calculated by the image acquisition and processing module and the measurement data sent by the monitoring device, and to carry out the current construction alignment prediction of bridge tower 1 based on the machine learning model.

[0071] The intelligent control and early warning module for bridge tower 1 is connected to the monitoring device and the bridge tower 1 status assessment and prediction module, respectively. It is used to establish the alignment monitoring threshold, and after obtaining the prediction results and measurement data of the bridge tower 1 status assessment and prediction module, it compares them with the alignment monitoring threshold and proposes alignment correction measures for bridge tower 1.

[0072] The camera array 2 monitoring module is used to monitor the status of the target 3. The status assessment and prediction module of bridge tower 1 is used to assess and predict the data. The intelligent control and early warning module of bridge tower 1 is used for early warning monitoring. This system can realize all-weather automated monitoring and intelligent early warning and control of the ultra-high bridge tower 1 alignment, reduce labor costs and improve the construction quality of bridge tower 1.

[0073] In another technical solution, such as Figure 2-3 As shown, the cameras of the monitoring module of the camera array 2 are installed in an array at the base of the bridge tower 1. The camera lenses are set parallel to the vertical outer surface of the bridge tower 1. By adjusting the camera focal length, the field of view of the camera can sequentially cover all targets 3 from the bottom to the top of the bridge tower 1. The monitoring module of the camera array 2 can obtain clear images of the targets 3 within the entire height range of the bridge tower 1.

[0074] In another technical solution, such as Figure 2 As shown, it also includes a cloud platform, which is communicatively connected to the image acquisition and processing module. The image acquisition and processing module acquires images of the target 3 on the bridge tower 1 using a camera at a set frequency, calculates the change of the target 3's center in the camera's pixel coordinates, obtains the planar displacement of the target 3's location on the bridge tower 1 and its time-varying curve, and uploads and saves the calculated data to the cloud platform for storage. The built-in calculation and transmission module can calculate the target 3's position in real time and upload and save the calculated data using its built-in IoT card.

[0075] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and illustrations shown and described herein.

Claims

1. A method for intelligent measurement and control of super-high bridge towers based on camera array, characterized in that, The method comprises the following steps: S1. According to the height and shape of the bridge tower, the number and position of the cameras are planned at the bottom of the bridge tower to form a camera array, a row of targets is arranged at intervals on the bridge tower, the number of the cameras corresponds to the number of the targets, the focal length of each camera is adjusted to cover all the targets in the full height range of the monitoring bridge tower, and then image quality testing and calibration are performed; S2. A bridge tower measurement element is installed at the current construction section of the bridge tower, and the measurement element is used to measure the physical parameters of the bridge tower state at each time point and the sunlight and load, the physical parameters including wind speed, temperature and stress; S3. The targets in the corresponding height range are installed in sequence with the construction of the bridge tower section, each camera continuously collects image data of the corresponding target on the bridge tower at a preset frequency, the obtained image data is processed and solved to obtain the displacement result of the bridge tower at the target, and the measurement data of the bridge tower state are synchronously collected; S4. A machine learning model based on the bridge tower structure is established by combining the real-time obtained displacement result of the bridge tower and the measurement data of the bridge tower state, the image data and the measurement data are monitored in real time, the machine learning model takes the displacement result and the measurement data affecting the linear change of the bridge tower at the same time node as the input sample of the model for optimization and training, the factors affecting the construction quality and the linear change of the bridge tower, i.e. wind speed, temperature, sunlight and external load, are respectively provided with sensors for data monitoring, and the monitoring results of the array camera on the target are reflected to ensure that the error between the model output and the measured data is less than 5%; S5. The trained machine learning model is used to input the real-time monitored image data and measurement data, and output the prediction data of the displacement result to predict the future linear of the bridge tower, and evaluate the current bridge tower construction linear based on the original design linear; S6. Based on the prediction result, when the measurement data and the prediction data exceed the deviation threshold of the original design linear, a bridge tower linear correction measure is developed and implemented.

2. The camera array based super high bridge tower intelligent measurement and control method according to claim 1, characterized in that, When the measurement data and the prediction data exceed the deviation threshold of the original design linear, a pre-warning mechanism is triggered, and after the pre-warning information appears, the positioning and displacement of the subsequent bridge tower template or section are adjusted in segments in height until the original design linear is approached.

3. The camera array based ultra-high bridge tower intelligent measurement and control method according to claim 1, characterized in that, When the bridge tower template or section is adjusted in segments in height, the height of each segment increases from bottom to top.

4. The camera array based ultra-high bridge tower intelligent measurement and control method according to claim 1, characterized in that, When the camera array is arranged, a support base is arranged at the bottom of the side of the bridge tower where the target is to be arranged, the support base comprises a slide plate arranged horizontally and pedestals arranged vertically at both ends of the slide plate, the slide plate is parallel to the surface of the side of the bridge tower where the target is to be arranged, the slide plate is detachably fixedly connected with the pedestals, a plurality of slide tables are sleeved on the slide plate in a sliding connection mode, the top center of each slide table is fixed with one camera, the bottom of each slide table is provided with a magnetic member, the bottom of the slide plate is provided with supporting legs along the length direction, a receiving target plate arranged horizontally is detachably connected to the top of each pedestal, the receiving target plate is provided with a two-dimensional coordinate scale, and a laser plummet is arranged on the top of the bridge tower construction platform in the directly above position of the receiving target plate. When constructing upwards from the bridge tower construction platform, a laser plumb instrument is fixedly installed on the side corresponding to the construction platform, a support base is installed at the bottom of the bridge tower, a camera is fixed on a sliding table, the camera is moved along the sliding plate, the corresponding position of each camera is adjusted to cover all targets arranged according to the construction progress, the sliding table is temporarily fixed on the sliding plate at the corresponding position through a magnetic attraction piece, a receiving target plate is arranged on the top of the pedestal, the laser plumb instrument is turned on, the laser landing point is displayed on the receiving target plate, the horizontal displacement change of the laser landing point observed on the receiving target plate is recorded when the construction platform moves by one construction section, when the target outside the current construction section is installed, the position of the target is analyzed through the camera corresponding to the monitoring height range, and the fixed position of the target is adjusted according to the horizontal displacement change after the construction platform moves.

5. A camera array based super high bridge tower intelligent measurement and control system for implementing the method of claim 1, characterized in that, Comprise: a target arranged vertically at intervals on one side of the bridge tower; a camera array monitoring module comprising a plurality of cameras corresponding one-to-one to the number of targets to monitor the targets on the full-height bridge tower in real time; an image acquisition and processing module for identifying and analyzing the target images acquired by the cameras to obtain displacement results varying with interval time after the target images are acquired by the cameras; a monitoring device comprising temperature sensors, wind speed sensors and stress sensors arranged on the bridge tower construction section to capture data changes of various environmental parameters and structural stresses of the bridge tower in real time; a bridge tower state evaluation and prediction module for obtaining the displacement results calculated by the image acquisition and processing module and the measurement data sent by the monitoring device, and predicting the current bridge tower construction alignment based on a machine learning model; a bridge tower intelligent control and early warning module connected with the monitoring device and the bridge tower state evaluation and prediction module, for establishing an alignment monitoring threshold, comparing the prediction results and measurement data of the bridge tower state evaluation and prediction module with the alignment monitoring threshold, and proposing bridge tower alignment correction measures.

6. The camera array based ultra-high bridge tower intelligent measurement and control system of claim 5, wherein, The cameras of the camera array monitoring module are installed in an array form at the root of the bridge tower, the camera lenses are arranged in parallel with the vertical outer facade of the bridge tower, the field of view of the camera is adjusted to sequentially cover all targets from the bottom to the top of the bridge tower, and the target images in the full-height range of the bridge tower are acquired through the camera array monitoring module.

7. The camera array based ultra-high bridge tower intelligent measurement and control system of claim 5, wherein, Further comprising a cloud platform in communication connection with the image acquisition and processing module, the image acquisition and processing module acquires the target images on the bridge tower at a set frequency, calculates the changes of the target centers in the camera pixel coordinates, obtains the planar displacement of the bridge tower position where the target is located and the process curve varying with time, and uploads and saves the calculation data to the cloud platform storage.

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