Multi-data fusion control method, unit and system for high-precision measurement and control of bridge piers

Abstract

The present invention relates to the technical field of super-high pier bridge construction and control, and in particular to a multi-data fusion control method, unit, and system for high-precision measurement and control of bridge piers. By acquiring first, second, and third real-time sampling data, real-time monitoring of the verticality and elevation of the piers during construction is achieved to ensure the accuracy and consistency of the pier construction. Then, by dynamically adjusting the weights of the first, second, and third real-time sampling data, the accuracy of data fusion is improved, ensuring that at different heights, the three real-time sampling data can be effectively fused to obtain an optimized result, i.e., real-time fused data for guiding construction adjustments, thereby guiding construction operations, promptly discovering and correcting deviations, improving construction efficiency and accuracy, and solving the problem of difficulty in effectively controlling the elevation and verticality of piers during traditional pier construction due to insufficient measurement accuracy and a lack of real-time monitoring means.

Description

Technical Field

[0001] The present invention relates to the technical field of super-high pier bridge construction and control, and specifically to a high-precision measurement and control multi-data fusion control method, unit and system for bridge piers. Background Art

[0002] With the rapid development of infrastructure construction, the number of bridges spanning valleys and rivers is increasing, and so are the number of bridges with super-high piers. The piers of super-high bridges are a critical component of bridge engineering, and their design, construction, and maintenance are directly related to the safety and service life of the bridge. Traditional pier construction generally uses cast-in-place technology, which often presents the following technical difficulties during on-site construction: During summer pier construction, uneven sunlight exposure between the shady and sunny sides of the piers can cause bending, affecting the pier's linear shape. During pier construction, mechanical vibration and wind vibration can cause the pier's axis to shift or tilt. During pier concrete pouring, formwork supports may deform or shift, resulting in uneven concrete pouring and leakage at formwork joints, affecting the connection and alignment of the next section. These problems can lead to uneven internal forces and linear fluctuations in the structure. Failure to properly address the construction details of the bridge piers can pose safety risks in the long-term operation of the bridge. Therefore, scientific monitoring of the verticality and elevation of bridge piers is necessary to ensure that their structures meet design requirements, guarantee structural safety and stability, and provide a strong guarantee for bridge safety. Existing equipment for measuring the verticality and elevation of bridge piers during construction (such as levels and theodolites) has limited accuracy and is significantly affected by inclement weather, resulting in insufficient accuracy and stability in the measured data. Human error further complicates the control of verticality and elevation. Furthermore, the lack of real-time monitoring and adjustment methods makes it difficult to promptly correct vertical and elevation deviations during construction. These combined issues lead to the accumulation of vertical and elevation deviations in bridge piers, compromising the safety of bridge structures. Summary of the Invention

[0003] In view of the problem in the prior art that the elevation and verticality of bridge piers are difficult to be effectively controlled during the construction process of bridge piers due to insufficient measurement accuracy and lack of real-time monitoring means, the present invention provides a high-precision measurement and control multi-data fusion control method, unit and system for bridge piers.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] The present invention provides a high-precision measurement and control multi-data fusion control method for bridge piers, comprising:

[0006] Acquire first real-time sampling data; wherein the first real-time sampling data is real-time surface elevation and sag data of the bridge pier scanned by a single-point laser scanner arranged around the bridge pier;

[0007] Acquire second real-time sampling data; wherein the second real-time sampling data is real-time sag data of the pier measured by a roll sensor arranged on the pier;

[0008] Acquiring third real-time sampling data; wherein the third real-time sampling data is real-time elevation and sag data of the bridge pier measured by a total station arranged around the bridge pier;

[0009] Obtain error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data;

[0010] Obtaining weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data;

[0011] Normalizing the weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data to obtain normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data;

[0012] The first real-time sampling data, the second real-time sampling data and the third real-time sampling data are weightedly fused according to their normalized weights to obtain real-time fused data for guiding construction adjustment.

[0013] Optionally, according to the error changes of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data, the method for obtaining the weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data is:

[0014]

[0015] in, is the actual height of the pier, is the preliminary weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data as it changes with the pier height; 、 and These are the errors of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data, respectively.

[0016] Optionally, the error of the first real-time sampling data is:

[0017]

[0018] in, is the error of the first real-time sampling data, and h is the actual height of the pier.

[0019] Optionally, the error of the third real-time sampling data is:

[0020]

[0021] in, is the error of the first real-time sampling data, and h is the actual height of the pier.

[0022] Optionally, the method of normalizing the weights of the first real-time sampled data, the second real-time sampled data, and the third real-time sampled data to obtain the normalized weights of the first real-time sampled data, the second real-time sampled data, and the third real-time sampled data is:

[0023] When the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data are all real-time sag data, the normalization method of their weights is:

[0024]

[0025] When both the first real-time sampling data and the third real-time sampling data are real-time elevation data, the normalization method of their weights is:

[0026]

[0027] in, is the normalized weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data, is the normalized weight of the first real-time sampling data, is the normalized weight of the second real-time sampling data, is the normalized weight of the third real-time sampling data, It is the preliminary weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data as it changes with the pier height.

[0028] Optionally, the method of weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fused data for guiding construction adjustment is:

[0029] When obtaining sag real-time fusion data: the method of weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fusion data for guiding construction adjustment is:

[0030]

[0031] at this time, Real-time fusion data for sag, The real-time surface sag data of the first real-time sampling data, is the second real-time sampling data, The real-time vertical data of the third real-time sampling data is 、 and The normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data in sequence;

[0032] When obtaining real-time fused elevation data: the method of weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fused data for guiding construction adjustments is as follows:

[0033]

[0034] at this time, For real-time fusion of elevation data, The real-time surface elevation data of the first real-time sampling data, The real-time elevation data of the third real-time sampling data is and These are the normalized weights of the first real-time sampling data and the third real-time sampling data, respectively.

[0035] The present invention provides a high-precision measurement and control multi-data fusion control unit for bridge piers, comprising:

[0036] A first real-time sampling data acquisition module is used to acquire first real-time sampling data; wherein the first real-time sampling data is real-time surface elevation or vertical data of the bridge pier scanned by a single-point laser scanner arranged around the bridge pier;

[0037] A second real-time sampling data acquisition module is used to acquire second real-time sampling data; wherein the second real-time sampling data is the real-time sag data of the pier measured by the roll sensor arranged on the pier;

[0038] A third real-time sampling data acquisition module is configured to acquire third real-time sampling data; wherein the third real-time sampling data is real-time elevation or vertical data of the pier measured by a total station arranged around the pier;

[0039] Error change acquisition module: used to obtain error changes of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data;

[0040] A weight acquisition module is configured to acquire weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data;

[0041] Weight normalization module: used to normalize the weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data to obtain the normalized weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data;

[0042] Fusion data acquisition module: used to weightedly fuse the first real-time sampling data, the second real-time sampling data and the third real-time sampling data according to the normalized weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data to obtain real-time fusion data for guiding construction adjustments.

[0043] A high-precision measurement and control multi-data fusion control system for bridge piers, comprising a data acquisition mechanism and the above-mentioned data fusion control unit;

[0044] The data acquisition mechanism includes a laser scanner, several roll sensors, and several total stations; the laser scanner's beam can scan from the bottom to the top of the pier; the roll sensors are distributed at different heights on the outer surface of the pier; the pier is provided with measuring points, each of which is equipped with a reflective prism, and the laser beam of the total station can hit the reflective prism;

[0045] The single-point laser scanner, roll sensor and total station are electrically connected or communicatively connected to the data fusion control unit.

[0046] A terminal device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0047] A computer-readable storage medium stores a computer program, wherein the computer program implements the steps of the above method when executed by a processor.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention provides a high-precision multi-data fusion control method for bridge pier measurement and control. This method acquires first, second, and third real-time sampling data to enable real-time monitoring of the pier's sag and elevation during construction, ensuring the accuracy and consistency of pier construction. Dynamically adjusting the weights of the first, second, and third real-time sampling data improves the accuracy of data fusion, ensuring that the three real-time sampling data are effectively fused and optimized at different heights. This real-time fused data guides construction adjustments, guiding construction operations, promptly identifying and correcting deviations, improving construction efficiency and accuracy, reducing manual intervention, and significantly shortening the construction period. This method is simple, minimally affected by the construction environment, and requires no manual intervention throughout the entire monitoring process. It can accurately monitor and calculate the sag and elevation of piers during construction, with high accuracy and reliability. It provides a reliable basis for pier adjustment during construction, ensuring that the structure meets design requirements, ensuring structural safety and stability, and providing a strong guarantee for bridge safety.

[0050] The present invention provides a high-precision measurement and control multi-data fusion control unit for bridge piers, comprising a first real-time sampling data acquisition module, a second real-time sampling data acquisition module, a third real-time sampling data acquisition module, a weight acquisition module, a weight normalization module and a fusion data acquisition module, which realizes the acquisition of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data, the dynamic adjustment and optimization of the weights, and the data fusion has high accuracy, good reliability and simple structure.

[0051] The present invention provides a high-precision measurement and control system for bridge piers using multi-source data fusion, comprising a data acquisition mechanism and the aforementioned data fusion control unit; the data acquisition mechanism includes a laser scanner, several roll sensors, and several total stations. The laser scanner, several roll sensors, and several total stations are configured to provide an automated, real-time feedback mechanism for the sag and elevation of the piers during construction. By combining the sag and elevation information from various devices, a comprehensive multi-source data system is formed to calculate the inclination of the piers in real time. Construction personnel use this comprehensive system to monitor the elevation and sag of the piers in real time, promptly identifying deviations in pier elevation or sag, and adjusting construction methods or parameters based on actual conditions to ensure the accuracy and stability of super-high pier construction. This improves construction efficiency, reduces errors caused by human operation, and ensures high-precision control of the construction process and the safety of the bridge structure.

[0052] The present invention also provides a terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program. The device has a simple structure, low modification cost, and small resource usage.

[0053] A computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the computer program implements the steps of the above method. The storage medium has good portability and strong versatility. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flow chart of a multi-data fusion control method for high-precision measurement and control of bridge piers according to the present invention.

[0055] Figure 2 Schematic diagram of the changes in various data errors in a multi-data fusion control method for high-precision measurement and control of bridge piers in an embodiment of the present invention.

[0056] Figure 3 This is a schematic diagram of the dynamic changes in the weights of various data in a multi-data fusion control method for high-precision measurement and control of bridge piers in an embodiment of the present invention.

[0057] Figure 4 This is a structural diagram of a high-precision measurement and control multi-data fusion control unit for bridge piers of the present invention.

[0058] Figure 5 This is a structural diagram of a high-precision measurement and control multi-data fusion control system for bridge piers of the present invention.

[0059] Figure 6 This is a control process diagram of a high-precision measurement and control multi-data fusion control system for bridge piers of the present invention.

[0060] Among them, 1-bridge pier, 2-single-point laser scanner, 3-tilt sensor, 4-total station, 5-multi-data fusion control unit. DETAILED DESCRIPTION

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0062] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0063] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0064] In the description of the embodiments of the present invention, it should be noted that if the terms "upper," "lower," "horizontal," "inner," etc. appear, the orientation or positional relationship indicated is based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the inventive product is typically placed when in use. These terms are merely for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or component referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on the present invention. In addition, the terms "first," "second," etc. are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0065] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0066] In the description of the embodiments of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0067] The present invention will be further described in detail below with reference to specific embodiments, which are intended to explain the present invention rather than to limit it.

[0068] The present invention discloses a high-precision measurement and control multivariate data fusion control method for bridge piers, referring to Figure 1 ,include:

[0069] S1: Acquire first real-time sampling data; wherein the first real-time sampling data is real-time surface elevation and sag data of the bridge pier scanned by a single-point laser scanner 2 arranged around the bridge pier 1;

[0070] S2: Acquire second real-time sampling data; wherein the second real-time sampling data is real-time sag data of the pier measured by the roll sensor 3 arranged on the pier 1;

[0071] S3: Acquire third real-time sampling data; wherein the third real-time sampling data is real-time elevation and sag data of the pier measured by the total station 4 arranged around the pier 1;

[0072] After acquiring the first, second, and third real-time sampling data, necessary preprocessing is required to ensure data quality and the accuracy of subsequent analysis. First, data cleaning is performed to remove outliers and noise, and the data format is unified to ensure the reliability of the three types of data. Second, the three types of data are time-synchronized to ensure temporal consistency across all data sources. Furthermore, interpolation algorithms can be used to supplement missing data between collection points to improve data continuity and integrity. Finally, preliminary statistical analysis is performed to calculate the data's mean and standard deviation to assess its basic characteristics. Through these steps, the preprocessed data provides a high-quality foundation for subsequent analysis and application, ensuring accurate and reliable monitoring results of bridge pier elevation and sag.

[0073] S4: Obtain the error changes of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data, wherein the accuracy of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data shows different change trends with the change of the measurement range. The measurement error change caused by the increase of the pier height is shown in FIG. Figure 2 , where the error of the first real-time sampling data is With height roll sensor 3 in detecting the verticality of the pier, due to its working principle, with the increase of the pier height changes ups and downs is small, so the pier height of the roll sensor 3 can be ignored, so the second real-time sampling data error can be used constant To express; the third real-time sampling data error With height Increase and grow.

[0074] S5: Obtain weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to the error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data, specifically:

[0075] This method combines the three types of data according to the error change and performs weighted normalization on different data to obtain a comprehensive accuracy evaluation index. The specific method is as follows:

[0076]

[0077] in, is the actual height of the pier, is the preliminary weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data as it changes with the pier height; 、 and The errors of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data are shown in order. As the pier height increases, the errors of the single-point laser scanner 2 and the total station 4 increase, and their weights decrease accordingly. However, the weight of the roll sensor 3 gradually increases due to its constant error. For the specific change trend, see Figure 3 , it can be seen that the weight changes of the corresponding first real-time sampling data, second real-time sampling data and third real-time sampling data.

[0078] S6: Normalize the weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data to obtain normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data, specifically:

[0079] When the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data are all real-time sag data, the normalization method of their weights is:

[0080]

[0081] When both the first real-time sampling data and the third real-time sampling data are real-time elevation data, the normalization method of their weights is:

[0082]

[0083] in, is the normalized weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data, is the normalized weight of the first real-time sampling data, is the normalized weight of the second real-time sampling data, is the normalized weight of the third real-time sampling data, It is the preliminary weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data as it changes with the pier height.

[0084] S7: Based on the normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data, weighted fusion is performed on the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data to obtain real-time fused data for guiding construction adjustments, specifically:

[0085] When obtaining sag real-time fusion data: the method of weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fusion data for guiding construction adjustment is:

[0086]

[0087] at this time, Real-time fusion data for sag, The real-time surface sag data of the first real-time sampling data, is the second real-time sampling data, The real-time vertical data of the third real-time sampling data is 、 and The normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data in sequence;

[0088] When obtaining real-time fused elevation data: the method of weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fused data for guiding construction adjustments is as follows:

[0089]

[0090] at this time, For real-time fusion of elevation data, The real-time surface elevation data of the first real-time sampling data, The real-time elevation data of the third real-time sampling data is and These are the normalized weights of the first and third real-time sampling data, respectively. By integrating the above data with a reasonable weight ratio, the accuracy and real-time performance of the elevation and vertical monitoring results of the bridge piers at different height stages are ensured. During the construction process, construction personnel can use this system to monitor the elevation of the bridge piers in real time. If elevation deviation is found, the construction method or parameters can be adjusted in time to ensure the accuracy of elevation control and the efficiency and safety of the construction process. This improves construction efficiency, reduces errors caused by human operation, and ensures that the construction process can still maintain a high level of monitoring accuracy, especially in severe weather and complex construction environments, providing safety guarantees for bridge construction.

[0091] See also Figure 4 The present invention provides a high-precision measurement and control multi-data fusion control unit for bridge piers, comprising:

[0092] A first real-time sampling data acquisition module is used to acquire first real-time sampling data; wherein the first real-time sampling data is real-time surface elevation or vertical data of the bridge pier scanned by a single-point laser scanner arranged around the bridge pier;

[0093] A second real-time sampling data acquisition module is used to acquire second real-time sampling data; wherein the second real-time sampling data is the real-time sag data of the pier measured by the roll sensor arranged on the pier;

[0094] A third real-time sampling data acquisition module is configured to acquire third real-time sampling data; wherein the third real-time sampling data is real-time elevation or vertical data of the pier measured by a total station arranged around the pier;

[0095] Error change acquisition module: used to obtain error changes of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data;

[0096] A weight acquisition module is configured to acquire weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data;

[0097] Weight normalization module: used to normalize the weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data to obtain the normalized weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data;

[0098] The fused data acquisition module is used to perform a weighted fusion of the first, second, and third real-time sampling data based on their normalized weights, generating real-time fused data to guide construction adjustments. This unit utilizes the first, second, and third real-time sampling data acquisition modules, a weight acquisition module, a weight normalization module, and a fused data acquisition module to acquire, dynamically adjust, and optimize the weights of the first, second, and third real-time sampling data. This data fusion achieves high accuracy, reliability, and a simple structure.

[0099] See also Figure 5 , the present invention provides a high-precision measurement and control multi-data fusion control system for bridge piers, including a data acquisition mechanism and the above-mentioned data fusion control unit;

[0100] The data acquisition mechanism includes a laser scanner 2, several roll sensors 3, and several total stations 4. The laser scanner 2's beam can scan from the bottom to the top of the pier. The roll sensors 3 are distributed at different heights on the outer surface of the pier 1. Measuring points are set on the pier 1, each equipped with a reflective prism on which the laser beam of the total station 4 can strike. The single-point laser scanner 2, roll sensors 3, and total stations 4 are electrically or communicatively connected to a data fusion control unit 5. During construction, the single-point laser scanner 2, roll sensors 3, and total stations 4 are deployed to collect various pier data in real time. Verticality data is measured jointly by the single-point laser scanner 1, total stations 4, and roll sensors 3, while elevation data is measured solely by the single-point laser scanner 1 and total stations 4. The roll sensors 3 are arranged at multiple locations at different heights along the pier 1 and fixed to the surface of the pier 1, forming a sensor grid that monitors the inclination angle changes of each layer of the pier 1 in real time. The roll sensor 3 measures the tilt angle at each point and transmits the data to the multi-dimensional data fusion control unit 5, enabling construction personnel to obtain verticality information for each layer of pier 1 during construction. This arrangement provides vertical variation data at different heights of pier 1. Combined with data from adjacent sensors, it accurately monitors overall verticality. A single-point laser scanner 2 is installed in a stable location on the foundation at the construction site or on one side of pier 1, ensuring that the laser beam can scan from the bottom to the top of the pier at a fixed angle. The single-point laser scanner 1 emits a laser beam and measures the distance from the emission point to the reflected laser beam on the surface of pier 1. Combined with the angular data from the laser scan, it generates real-time surface elevation and verticality information for pier 1. The total station 4 needs to be deployed at multiple fixed measurement locations. These locations should be away from the construction area, ensure unobstructed vision, and maintain a certain distance from pier 1 to accurately capture key reference points on the pier. The locations of the total station 4 need to be established in advance to ensure that the total station can observe the pier from different directions. Total station 4 measures the distance and angle between the instrument and the prism reflection points on pier 1, accurately calculating the three-dimensional coordinates of each measurement point and tracking the pier's elevation and verticality in real time. During construction, the total station regularly measures and updates data to ensure that construction accuracy meets design requirements.

[0101] See also Figure 6The control process is as follows: The single-point laser scanner 2, inclination sensor 3, and total station 4 collect the first, second, and third real-time sampling data (i.e., the verticality and elevation of pier 1) and transmit them to the multivariate data fusion control unit 5 for data preprocessing. The verticality weight coefficients for the first, second, and third real-time sampling data, as well as the elevation weight coefficients for the first and third real-time sampling data, are determined. Finally, through data fusion, real-time fused data is obtained to guide construction adjustments and control construction. Construction personnel can adjust construction methods or parameters based on the monitoring results to ensure that elevation and verticality are within the design standards. Data comparison: Regular comparisons are performed with construction design standards to monitor deviations in the elevation and verticality of the piers and promptly identify and record any anomalies. Adjustment strategies: Based on the monitoring results, construction plans are adjusted promptly to optimize the construction process and improve construction accuracy and efficiency. Feedback improvement: Real-time feedback information is used in subsequent construction to continuously improve the measurement and control system and ensure construction safety and quality.

[0102] The present invention provides a terminal device comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of each of the aforementioned method embodiments are implemented. Alternatively, when the processor executes the computer program, the functions of each module / unit in each of the aforementioned apparatus embodiments are implemented.

[0103] The computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to accomplish the present invention.

[0104] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0105] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0106] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0107] If the module / unit integrated in the terminal device is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the process steps in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium can be appropriately increased or decreased based on the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0108] In summary, a multi-data fusion control method, unit, and system for high-precision measurement and control of bridge piers is provided. By acquiring first, second, and third real-time sampling data, real-time monitoring of the pier's verticality and elevation during construction is achieved to ensure the accuracy and consistency of pier construction. Dynamic adjustment of the weights of the first, second, and third real-time sampling data improves the accuracy of data fusion, ensuring that at different heights, the three real-time sampling data can be effectively fused to produce an optimized result, i.e., real-time fused data that guides construction adjustments. This guides construction operations, promptly detects and corrects deviations, improves construction efficiency and accuracy, and ensures that the bridge structure meets design requirements and maintains structural safety and stability.

[0109] The above description is merely a preferred embodiment of the present invention and is not intended to impose any limitation on the technical solution of the present invention. Those skilled in the art should understand that, without departing from the spirit and principles of the present invention, the technical solution can also be subjected to several simple modifications and replacements, and these modifications and replacements are also within the scope of protection covered by the claims.

Claims

1. A high-precision measurement and control multivariate data fusion control method for bridge piers, characterized in that: include: Acquire first real-time sampling data; wherein the first real-time sampling data is real-time surface elevation and sag data of the bridge pier scanned by a single-point laser scanner arranged around the bridge pier; Acquire second real-time sampling data; wherein the second real-time sampling data is real-time sag data of the pier measured by a roll sensor arranged on the pier; Acquiring third real-time sampling data; wherein the third real-time sampling data is real-time elevation and sag data of the bridge pier measured by a total station arranged around the bridge pier; Obtain error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data; Obtaining weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data; Normalizing the weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data to obtain normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data; The first real-time sampling data, the second real-time sampling data and the third real-time sampling data are weightedly fused according to their normalized weights to obtain real-time fused data for guiding construction adjustment.

2. The high-precision measurement and control multi-element data fusion control method for bridge piers according to claim 1 is characterized in that: According to the error changes of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data, the method for obtaining the weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data is: in, is the actual height of the pier, is the preliminary weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data as it changes with the pier height; 、 and These are the errors of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data, respectively.

3. The high-precision measurement and control multi-element data fusion control method for bridge piers according to claim 1 is characterized in that: The error of the first real-time sampling data is: in, is the error of the first real-time sampling data, and h is the actual height of the pier.

4. The high-precision measurement and control multivariate data fusion control method for bridge piers according to claim 1 is characterized in that: The error of the third real-time sampling data is: in, is the error of the first real-time sampling data, and h is the actual height of the pier.

5. The high-precision measurement and control multivariate data fusion control method for bridge piers according to claim 1 is characterized in that: The method of normalizing the weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data to obtain the normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data is: When the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data are all real-time sag data, the normalization method of their weights is: When both the first real-time sampling data and the third real-time sampling data are real-time elevation data, the normalization method of their weights is: in, is the normalized weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data, is the normalized weight of the first real-time sampling data, is the normalized weight of the second real-time sampling data, is the normalized weight of the third real-time sampling data, It is the preliminary weight of the first real-time sampling data, the second real-time sampling data or the third real-time sampling data as it changes with the pier height.

6. The high-precision measurement and control multivariate data fusion control method for bridge piers according to claim 1 is characterized in that: The method for weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fused data for guiding construction adjustment is: When obtaining sag real-time fusion data: the method of weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fusion data for guiding construction adjustment is: at this time, Real-time fusion data for sag, The real-time surface sag data of the first real-time sampling data, is the second real-time sampling data, The real-time vertical data of the third real-time sampling data is 、 and The normalized weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data in sequence; When obtaining real-time fused elevation data: the method of weightedly fusing the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to their normalized weights to obtain real-time fused data for guiding construction adjustments is as follows: at this time, For real-time fusion of elevation data, The real-time surface elevation data of the first real-time sampling data, The real-time elevation data of the third real-time sampling data is and These are the normalized weights of the first real-time sampling data and the third real-time sampling data, respectively.

7. A high-precision measurement and control multi-data fusion control unit for bridge piers, characterized in that: include: A first real-time sampling data acquisition module is used to acquire first real-time sampling data; wherein the first real-time sampling data is real-time surface elevation or vertical data of the bridge pier scanned by a single-point laser scanner arranged around the bridge pier; A second real-time sampling data acquisition module is used to acquire second real-time sampling data; wherein the second real-time sampling data is the real-time sag data of the pier measured by the roll sensor arranged on the pier; A third real-time sampling data acquisition module is configured to acquire third real-time sampling data; wherein the third real-time sampling data is real-time elevation or vertical data of the pier measured by a total station arranged around the pier; Error change acquisition module: used to obtain error changes of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data; A weight acquisition module is configured to acquire weights of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data according to error changes of the first real-time sampling data, the second real-time sampling data, and the third real-time sampling data; Weight normalization module: used to normalize the weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data to obtain the normalized weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data; Fusion data acquisition module: used to weightedly fuse the first real-time sampling data, the second real-time sampling data and the third real-time sampling data according to the normalized weights of the first real-time sampling data, the second real-time sampling data and the third real-time sampling data to obtain real-time fusion data for guiding construction adjustments.

8. A high-precision measurement and control multi-data fusion control system for bridge piers, characterized by: comprising a data acquisition mechanism and the data fusion control unit according to claim 7; The data acquisition mechanism includes a laser scanner, several roll sensors, and several total stations; the laser scanner's beam can scan from the bottom to the top of the pier; the roll sensors are distributed at different heights on the outer surface of the pier; the pier is provided with measuring points, each of which is equipped with a reflective prism, and the laser beam of the total station can hit the reflective prism; The single-point laser scanner, roll sensor and total station are electrically connected or communicatively connected to the data fusion control unit.

9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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