Intelligent tension wire device for high-rise building transmission benchmark and offset monitoring method

Abstract

The invention discloses an intelligent tension wire device for high-rise building reference transmission and an offset monitoring method, and relates to the technical field of high-rise building construction surveying and mapping, the device comprises a reference fixing mechanism, a tensioning mechanism, a multi-source surveying and mapping data acquisition module, a data processing module and a data output module; according to the invention, the GNSS real-time dynamic surveying and mapping module, the inertial measurement unit and the linear array CCD visual surveying and mapping sensor are integrated to construct a multi-source surveying and mapping data acquisition system, multi-source data fusion is realized in combination with a Kalman filtering optimization algorithm, the problems of single-dimensional measurement and large error in the prior art are solved, full-dimensional coverage and high-precision measurement of tension wire offset are realized, and the measurement precision is improved. Through real-time calibration of a data processing module and a high-rise building construction coordinate system and format output of an adaptive standard, an extra data conversion step is avoided, the problems of poor data compatibility and untimely construction guidance are solved, and it is ensured that measured data can be directly used for construction regulation and control.

Description

Technical Field

[0001] This invention relates to the field of high-rise building construction surveying technology, specifically to an intelligent tension wire device and offset monitoring method for transmitting benchmarks in high-rise buildings. Background Technology

[0002] A tension line device is a surveying aid used to transfer planar or spatial benchmarks by applying a preset tension to a line to form a fixed reference line. Its core function is to provide continuous and intuitive benchmark references for engineering construction. In the construction of high-rise buildings, due to their large height and long construction period, key aspects such as axis positioning and structural component installation accuracy control all rely on accurate benchmark transfer. The tension line device, with its simple structure and strong benchmark continuity, has become one of the core devices for benchmark transfer in high-rise buildings, directly affecting the verticality and planar position accuracy of the building structure, and is of great significance for ensuring construction quality and operational safety.

[0003] Offset monitoring of the tension conductor device refers to the real-time detection of spatial displacement changes of the tension conductor relative to a preset reference coordinate system, including translational offset in the horizontal and vertical directions, as well as torsional offset around the axis. This monitoring process can promptly capture reference deviations caused by external interference or deformation of the device itself, preventing the accumulation of deviations from affecting subsequent construction stages. It is a key means to ensure the accuracy of reference transmission and achieve dynamic control of construction, playing an irreplaceable role in improving the construction precision of high-rise buildings and reducing potential quality risks.

[0004] However, existing technologies for monitoring the offset of tension wires still have certain shortcomings. Most existing technologies use single-type sensors for measurement, only achieving displacement detection in one or some dimensions. They cannot comprehensively cover the offset in the horizontal, vertical, and torsional dimensions, making it difficult to reflect the complete spatial attitude changes of the wire. Furthermore, they lack effective data fusion mechanisms, are susceptible to environmental interference from single sensors, resulting in large errors. Moreover, measurement data from different sources cannot be collaboratively corrected, and the measurement data format is incompatible with engineering surveying standards, requiring additional data conversion. This not only reduces the timeliness of construction guidance but may also introduce new errors during the conversion process, affecting the accuracy of benchmark transfer. Therefore, developing an intelligent tension wire device and offset monitoring method for benchmark transfer in high-rise buildings is of great significance. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide an intelligent tension line device and offset monitoring method for transferring reference in high-rise buildings. It can construct a multi-source mapping data acquisition system by integrating a GNSS real-time dynamic mapping module, an inertial measurement unit, and a linear CCD visual mapping sensor. Combined with a Kalman filter optimization algorithm, it achieves multi-source data fusion, realizing full-dimensional coverage and high-precision measurement of tension line offset. Through the data processing module and real-time calibration of the high-rise building construction coordinate system and the standard format output, it avoids additional data conversion steps, solves the problems of poor data compatibility and untimely construction guidance, and ensures that the measurement data can be directly used for construction control.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an intelligent tensioning wire device for transmitting reference in high-rise buildings, the device comprising: a reference fixing mechanism, a tensioning mechanism, a multi-source surveying data acquisition module, a data processing module, and a data output module; The reference fixing mechanism is used to fix both ends of the tension line to a preset reference point of the high-rise building, and the tensioning mechanism is connected to the tension line to apply a preset tension to it; The multi-source mapping data acquisition module is communicatively connected to the data processing module. The multi-source mapping data acquisition module includes a GNSS real-time dynamic mapping module, an inertial measurement unit, and a linear CCD visual mapping sensor. The GNSS real-time dynamic mapping module is used to acquire three-dimensional coordinate mapping data of the tension wire endpoints. The inertial measurement unit is used to capture vibration and torsional deformation information of the wire. The linear CCD visual mapping sensor is used to acquire microscopic displacement images of the wire surface. The data processing module incorporates a Kalman filter optimization algorithm to fuse multi-source surveying data and calibrate the fused data with the high-rise building construction coordinate system in real time. The data processing module is communicatively connected to the data output module, which outputs the calibrated offset data.

[0007] Furthermore, the reference fixing mechanism includes an anchor, an adjusting seat, and a clamping assembly. The anchor is used to fix the mounting surface of the preset reference point of the high-rise building. The adjusting seat is detachably connected to the anchor. The clamping assembly is disposed on the adjusting seat and is used to clamp and fix the end of the tension line. The adjusting seat is provided with adjusting grooves extending in the horizontal and vertical directions. The clamping assembly cooperates with the adjusting grooves through fasteners and moves along the extension direction of the adjusting grooves to adjust the installation position of the end of the tension line, ensuring that the tension line is consistent with the preset reference line when initially installed.

[0008] Furthermore, the tensioning mechanism includes an electric tensioner, a tension sensor, and a transmission assembly. The electric tensioner is connected to one end of the tension line through the transmission assembly. The tension sensor is located between the transmission assembly and the tension line to detect the tension value of the tension line in real time. The tension sensor is communicatively connected to the data processing module to transmit the detected tension data to the data processing module, so that the data processing module can monitor the tension state of the tension line in real time and provide a reference for subsequent data calibration.

[0009] Furthermore, the data processing module includes a data storage unit, a computing unit, and a communication unit. The data storage unit is used to pre-store the coordinate system parameters of the high-rise building construction, the computing parameters of the Kalman filter optimization algorithm, and historical surveying data. The computing unit is used to perform multi-source data fusion calculations and coordinate calibration calculations. The communication unit adopts wired or wireless communication methods to establish communication connections with the multi-source surveying data acquisition module, the data output module, and the external construction control terminal, respectively, to realize bidirectional data transmission.

[0010] A method for monitoring the offset of an intelligent tension wire device for transmitting reference in high-rise buildings, applicable to the aforementioned intelligent tension wire device for transmitting reference in high-rise buildings, the method comprising the following steps: S1. Installation and commissioning of the device: Fix both ends of the tension line to the preset reference point of the high-rise building through the reference fixing mechanism, start the tensioning mechanism to apply tension to the tension line, so that the line reaches the preset straight state; S2. Multi-source data synchronous acquisition: Start the multi-source mapping data acquisition module, control the GNSS real-time dynamic mapping module, inertial measurement unit and linear CCD visual mapping sensor to work synchronously, and acquire the three-dimensional coordinates of the tension line endpoints, the vibration and torsional deformation information of the line body, and the micro-displacement image of the line body surface respectively. S3. Data fusion processing: The data processing module calls the Kalman filter optimization algorithm to perform fusion operations on the three types of collected data to offset the measurement error of a single sensor. S4. Coordinate calibration and offset calculation: The data processing module compares and calibrates the integrated data with the high-rise building construction coordinate system in real time, and calculates the offset values ​​of the tension line in the three dimensions of horizontal, vertical and torsional. S5. Data Output: The data output module outputs the three-dimensional offset values ​​in a format that conforms to engineering surveying standards.

[0011] Furthermore, step S1 includes the following steps during device installation and debugging: The specific location of the preset benchmark point is determined according to the construction design documents of the high-rise building. The installation surface of the benchmark point is leveled to ensure that the flatness of the installation surface meets the installation requirements of the device. The anchor of the reference fixing mechanism is fixed to the reference point mounting surface, and the position of the clamping component is adjusted by the adjustment slot of the adjustment seat so that the clamping components of the two reference fixing mechanisms are on the same preset reference line. Fix both ends of the tension wire to the two clamping components respectively, so that the wire is firmly connected to the clamping components without loosening; Start the tensioning mechanism and gradually apply tension to the tension line while observing the condition of the line until there is no obvious sagging or vibration, and the preset straightening state is achieved, thus completing the device debugging.

[0012] Furthermore, step S2, when performing multi-source data synchronous acquisition, includes the following steps: The data processing module sends a synchronous acquisition command to the multi-source mapping data acquisition module to set the data acquisition frequency and acquisition duration. After receiving the synchronization command, the GNSS real-time dynamic mapping module starts the satellite signal receiving unit, captures the satellite signal and calculates the three-dimensional coordinate data of the tension wire endpoint, and transmits it to the data processing module in real time at the set frequency. In response to the synchronization command, the inertial measurement unit activates its internal sensing elements to detect the vibration frequency, amplitude, and torsional angle of the line in real time, converts the captured deformation information into electrical signal data, and transmits it to the data processing module. The linear CCD vision mapping sensor starts the shooting function according to the synchronization command, continuously shooting the surface of the tension line to acquire micro displacement image data. After preliminary processing, the data is transmitted to the data processing module to ensure that the acquisition timestamps of the three types of data are consistent.

[0013] Furthermore, step S3 includes the following steps during data fusion processing: The data processing module preprocesses the three types of raw data received, removes obviously abnormal data, and interpolates and supplements missing data to ensure data integrity. Call the pre-stored Kalman filter optimization algorithm operation parameters in the data storage unit, set the state equation and observation equation, and initialize the filter gain; Construct a multi-source data weighted fusion model, using formulas Preliminary fusion of preprocessed GNSS real-time dynamic mapping data, inertial measurement unit data, and linear CCD visual mapping data is performed. To initially integrate the data, The three-dimensional coordinate data collected by the GNSS real-time dynamic mapping module. Deformation data collected by the inertial measurement unit. Microscopic displacement image data acquired by a linear CCD vision mapping sensor. The fusion weights for each data source, The result is obtained by normalizing the reciprocal of the variance of the real-time measurement error of each sensor, specifically through the formula... calculate, ,in These are the real-time measurement error variances of the GNSS real-time dynamic mapping module, the inertial measurement unit, and the linear CCD visual mapping sensor, respectively, which are calculated in real time by the data processing module based on the deviation between historical measurement data and actual verification data. The initial fused data is input into the Kalman filter optimization algorithm for multiple rounds of iterative calculations. The algorithm model further compensates and corrects the data errors. Based on the results of the iterative calculations, the fused comprehensive data is output, which includes the spatial position, deformation and micro displacement information of the line.

[0014] Furthermore, in step S4, before performing coordinate calibration, the data processing module first obtains the real-time updated parameters of the high-rise building construction coordinate system through the communication unit. When the construction coordinate system parameters change, the latest parameters are used as the calibration benchmark. During the coordinate calibration process, the three-dimensional coordinate information in the fused integrated data is first compared point by point with the benchmark coordinates of the construction coordinate system, and the coordinate deviation of each comparison point is calculated to obtain the preliminary horizontal offset. Initial offset in the vertical direction and the initial offset in the direction of torsion Then through the formula Calculate the final three-dimensional offset of the tension wire, where This is the final 3D offset. These are the calibration coefficients for each direction. , , The deviation values ​​between the construction coordinate system update parameters and the initial parameters obtained by the data processing module are combined with the installation height of the line and the influence factor of ambient temperature. The least squares method is used to perform regression analysis and fitting on the deviation between historical calibration data and actual offset. Finally, spatial geometric calculations are used to determine the translational offset of the tension line in the horizontal and vertical directions and the torsional offset around the axis.

[0015] Furthermore, in step S5, when the data output module outputs the three-dimensional offset values, it adopts a data transmission protocol commonly used in the field of engineering surveying and mapping, supporting RS485, Ethernet, or wireless LAN transmission interfaces. The output data includes the identification information of the tension wire, the data acquisition time, the specific values ​​of the offset in each dimension, and the data reliability parameters. The data reliability parameters are determined based on the error range after the fusion of multi-source data, ensuring that the output data can be directly identified and called by the external construction control terminal without additional data conversion operations.

[0016] Compared with existing technologies, the intelligent tension wire device and offset monitoring method for transferring reference in high-rise buildings have the following advantages: This invention integrates a GNSS real-time dynamic mapping module, an inertial measurement unit, and a linear CCD visual mapping sensor to construct a multi-source mapping data acquisition system. Combined with a Kalman filter optimization algorithm, it achieves multi-source data fusion, solving the problems of single-dimensional measurement and large errors in existing technologies. It achieves full-dimensional coverage and high-precision measurement of tension line offset. Through real-time calibration of the data processing module with the high-rise building construction coordinate system and standard-compliant format output, it avoids additional data conversion steps, solving problems of poor data compatibility and untimely construction guidance. This ensures that the measurement data can be directly used for construction control, providing accurate and efficient technical support for high-rise building benchmark transfer, effectively improving construction accuracy, reducing quality risks, and ensuring building structural safety and construction quality.

[0017] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0019] Figure 1 A schematic diagram of the modular components of an intelligent tension wire device for transmitting reference in high-rise buildings; Figure 2 A flowchart of an offset monitoring method for an intelligent tension wire device used for transmitting reference in high-rise buildings; Figure 3 A flowchart illustrating a method for monitoring the offset of an intelligent tension wire device used for transmitting reference in high-rise buildings. Figure 4 This is a flowchart illustrating the multi-source data synchronous acquisition process in an offset monitoring method for an intelligent tension wire device used for transmitting reference in high-rise buildings. Detailed Implementation

[0020] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0021] This invention provides an intelligent tension wire device and offset monitoring method for transmitting reference in high-rise buildings, aiming to solve the problems of single-dimensional measurement, large error, poor data compatibility, and untimely construction guidance in existing technologies.

[0022] See Figure 1 The device consists of the following parts: The reference fixing mechanism is responsible for fixing both ends of the tension line to the preset reference point of the high-rise building. It includes anchors, adjusting seats and clamping components. The anchors are fixed to the mounting surface of the reference point. The adjusting seats adjust the position of the clamping components through the horizontal and vertical adjustment grooves to ensure that the initial installation of the tension line is consistent with the preset reference line.

[0023] The tensioning mechanism connects to the lead wire and applies a preset tension. It consists of an electric tensioner, a tension sensor, and a transmission assembly. The tension sensor detects the tension of the lead wire in real time and transmits the data to provide a reference for subsequent calibration.

[0024] The multi-source mapping data acquisition module communicates with the data processing module and integrates a GNSS real-time dynamic mapping module, an inertial measurement unit, and a linear CCD visual mapping sensor to acquire the three-dimensional coordinates of the endpoints, information on line vibration and torsional deformation, and surface micro-displacement images, respectively.

[0025] The data processing module incorporates a Kalman filter optimization algorithm, includes data storage, computation, and communication units, pre-stores construction coordinate system parameters and other data, performs data fusion and coordinate calibration, and achieves bidirectional data transmission via wired or wireless means.

[0026] The data output module outputs the calibrated offset data in a format adapted to engineering surveying standards.

[0027] See Figure 2 and Figure 3 The corresponding offset monitoring methods include the following: During device installation and commissioning, determine the reference point position and level the installation surface, fix the anchors and clamping components, install the tensioning wire, and start the tensioning mechanism to make the wire reach the preset straight state.

[0028] Multi-source data is collected synchronously, the data processing module sends instructions to set parameters, and the three types of sensors work synchronously to ensure that the timestamps of the collected data are consistent and are transmitted to the processing module.

[0029] Data fusion processing involves preprocessing the raw data and then using a Kalman filter optimization algorithm to perform fusion operations, thereby offsetting errors from a single sensor.

[0030] Coordinate calibration and offset calculation: Obtain real-time updated parameters of the construction coordinate system, compare the fused data with the reference coordinates, and calculate the horizontal, vertical, and torsional three-dimensional offsets.

[0031] The data output includes information such as tension line identification, acquisition time, offset in various dimensions, and data reliability parameters. It supports multiple transmission interfaces and can be directly identified and called by external construction control terminals, providing timely and accurate benchmark data for construction control.

[0032] Example 1 In the construction of high-rise buildings such as super high-rise office buildings and skyscrapers, critical aspects such as axis positioning and structural component installation accuracy control require extremely high precision and real-time performance in benchmark transfer. Traditional tension line monitoring methods, due to issues such as single-dimensional measurement, large data errors, and poor compatibility, are unable to meet the precise monitoring needs of benchmark horizontal, vertical, and torsional offsets in high-rise building construction, easily leading to accumulated construction deviations and affecting building structural safety and construction quality. The intelligent tension line device and offset monitoring method for benchmark transfer in high-rise buildings provided in this embodiment are applicable to construction surveying scenarios of various super high-rise civil and commercial buildings. Through multi-source data fusion and real-time coordinate calibration, it achieves high-precision, multi-dimensional monitoring of tension line offsets, providing direct and reliable data support for construction control. See [link to documentation]. Figure 1 , Figure 2 and Figure 3 The specific content of this embodiment is as follows: First, the device is installed and debugged. Based on the high-rise building construction design documents, the specific locations of the preset benchmark points are determined. The mounting surface of the benchmark points is leveled to ensure its flatness meets the device installation requirements. The anchors of the benchmark fixing mechanism are fixedly connected to the benchmark mounting surface. The adjusting seat and anchors are detachably connected. The position of the clamping components is adjusted using the adjusting grooves extending horizontally and vertically on the adjusting seat, ensuring that the clamping components of the two benchmark fixing mechanisms are precisely positioned on the same preset benchmark line. The two ends of the tension wire are fixed to the two clamping components respectively, ensuring a secure and loose connection between the wire and the clamping components.

[0033] The tensioning mechanism is activated, and the electric tensioner gradually applies a preset tension to the tension line through the transmission assembly, while simultaneously observing the line's condition until there is no significant sagging or vibration, reaching the preset straightened state. During this process, a tension sensor located between the transmission assembly and the tension line continuously monitors the tension value of the tension line and transmits the tension data to the data processing module. This allows the data processing module to monitor the tension status of the tension line in real time, providing a reference for subsequent data calibration.

[0034] After the device installation and commissioning are completed, the multi-source data synchronous acquisition phase begins. (See also...) Figure 4The data processing module sends a synchronization acquisition command to the multi-source mapping data acquisition module, setting the data acquisition frequency and duration. Upon receiving the synchronization command, the GNSS real-time dynamic mapping module activates the satellite signal receiving unit to capture satellite signals and calculate the three-dimensional coordinate data of the tension wire endpoints, transmitting it to the data processing module in real time at the set frequency. The inertial measurement unit responds to the synchronization command, activating its internal sensing elements to detect the vibration frequency, amplitude, and torsional angle of the tension wire in real time, converting the captured deformation information into electrical signal data and transmitting it to the data processing module. The linear CCD visual mapping sensor activates its imaging function according to the synchronization command, continuously capturing images of the tension wire surface to obtain microscopic displacement image data, which is then preliminarily processed and transmitted to the data processing module. This ensures that the acquisition timestamps of the three types of data remain consistent, guaranteeing data synchronization and validity.

[0035] After data acquisition is completed, data fusion processing is performed. First, the data processing module preprocesses the received GNSS real-time dynamic mapping data, inertial measurement unit data, and raw data acquired by the linear CCD visual mapping sensor, removing obvious abnormal data and interpolating missing data to ensure data integrity. Then, it calls the pre-stored Kalman filter optimization algorithm parameters in the data storage unit, sets the state equation and observation equation, and initializes the filter gain.

[0036] In the specific implementation process of this embodiment, a multi-source data weighted fusion model is constructed, and the formula is used to... Initial integration was carried out, among which To initially integrate the data, The three-dimensional coordinate data collected by the GNSS real-time dynamic mapping module. Deformation data collected by the inertial measurement unit. Microscopic displacement image data acquired by a linear CCD vision mapping sensor. , , The fusion weights for each data source are determined by normalizing the inverse of the variance of the real-time measurement error of each sensor, specifically through the formula... Calculation, where , , , These are the real-time measurement error variances of the GNSS real-time dynamic mapping module, the inertial measurement unit, and the linear CCD visual mapping sensor, respectively, calculated in real time by the data processing module based on the deviation between historical measurement data and actual verification data. After preliminary fusion, the preliminary fused data is input into the Kalman filter optimization algorithm for multiple rounds of iterative calculations. The algorithm model further compensates and corrects the data errors, and finally outputs fused comprehensive data that simultaneously includes the spatial position, deformation, and micro-displacement information of the line.

[0037] Next, coordinate calibration and offset calculation are performed. The data processing module obtains real-time updated parameters of the high-rise building construction coordinate system through the communication unit. When the construction coordinate system parameters change, the latest parameters are used as the calibration benchmark. During the coordinate calibration process, the three-dimensional coordinate information in the fused integrated data is first compared point by point with the benchmark coordinates of the construction coordinate system. The coordinate deviation of each comparison point is calculated to obtain the preliminary horizontal offset. Initial offset in the vertical direction and the initial offset in the direction of torsion .

[0038] In the specific implementation process of this embodiment, through formula Calculate the final three-dimensional offset of the tension wire, where This is the final 3D offset. , , These are the calibration coefficients for each direction. The calibration coefficients are determined by the data processing module acquiring the deviation values ​​between the real-time updated parameters of the construction coordinate system and the initial parameters. Combined with the installation height of the line and the influence of ambient temperature, the least squares method is used to perform regression analysis and fitting on the deviation between historical calibration data and actual offset. Finally, spatial geometric calculations are used to determine the overall translational offset of the tension line in the horizontal and vertical directions, as well as the torsional offset around the axis.

[0039] Finally, data is output. The data output module adopts a common data transmission protocol in the field of engineering surveying, supporting RS485, Ethernet, or wireless LAN transmission interfaces, and outputs the three-dimensional offset values ​​in a format adapted to engineering surveying standards. The output data includes the tension wire identification information, data acquisition time, specific values ​​of offset in each dimension, and data reliability parameters. The data reliability parameters are determined based on the error range after multi-source data fusion, ensuring that the output data can be directly recognized and called by the external construction control terminal without additional data conversion operations.

[0040] In summary, this embodiment achieves full-dimensional, high-precision monitoring of offset during the transfer of tension wire reference in high-rise buildings through a complete process including device installation and commissioning, synchronous acquisition of multi-source data, data fusion processing, coordinate calibration and offset calculation, and data output. By integrating a GNSS real-time dynamic mapping module, an inertial measurement unit, and a linear CCD visual mapping sensor to construct a multi-source data acquisition system, and combining a Kalman filter optimization algorithm and a weighted fusion model, the measurement errors of a single sensor are effectively offset, overcoming the limitations of traditional single-dimensional measurement techniques.

[0041] Example 2 This embodiment is applicable to construction scenarios of ultra-high-rise mixed-use buildings that include commercial, residential, and office areas. Such buildings have complex structures with significant differences in the arrangement of structural components across different functional areas. Multiple overlapping construction processes can easily cause interference such as collisions and vibrations to the tension line reference transmission. Furthermore, changes in ambient temperature and humidity during the construction period significantly affect the stability of the reference line. Traditional monitoring solutions are ill-suited to the high-precision, interference-resistant monitoring requirements of complex environments. Building upon the aforementioned embodiments, this embodiment optimizes device adaptability and monitoring processes, enhances anti-interference capabilities and environmental adaptability, and achieves accurate monitoring of tension line offsets in complex construction scenarios.

[0042] See Figure 1 The intelligent tensioning wire device in this embodiment includes the reference fixing mechanism, tensioning mechanism, multi-source surveying data acquisition module, data processing module, and data output module provided in the aforementioned embodiment. The anchor of the reference fixing mechanism adopts a fixing method combining expansion bolts and pre-embedded steel plates, which is suitable for reference point installation surfaces of different materials such as concrete and steel structures. The tensioning mechanism adds a tension adaptive adjustment function, and the data processing module has a built-in environmental parameter acquisition unit for synchronously collecting temperature and humidity data of the construction environment.

[0043] See Figure 2 and Figure 3 The specific implementation process of the monitoring method is as follows: First, the device is installed and debugged. Based on the construction design documents for the high-rise mixed-use building, the locations of the preset reference points for each functional area are clearly defined. The material of the mounting surface for the reference points is first tested, and then the corresponding anchor fixing method is selected based on the test results to ensure a stable connection between the anchors and the mounting surface. After leveling the mounting surface, the anchors are fixed to the mounting surface of the reference points. The position of the clamping components is quickly adjusted using the graduated horizontal and vertical adjustment slots on the adjusting seat, ensuring that the clamping components of the two reference fixing mechanisms are precisely aligned with the preset reference lines.

[0044] After fixing both ends of the tension line to the clamping assembly and checking the connection firmness, start the tensioning mechanism. The data processing module controls the electric tensioner to apply tension to the tension line through the transmission assembly according to the pre-stored tension threshold. The tension sensor feeds back the detection data to the data processing module in real time. When the tension reaches the preset value and stabilizes for 30 seconds, the line is in the preset straightened state, and the debugging is completed.

[0045] Entering the multi-source data synchronous acquisition phase, see [link / reference] Figure 4The data processing module determines the current construction stage based on the construction progress and dynamically sets the data acquisition frequency. The acquisition frequency is increased during critical stages such as the construction of the core structural area, and appropriately decreased during non-critical stages such as decoration and finishing. The acquisition duration is also set. Subsequently, a synchronous acquisition command is sent to the multi-source mapping data acquisition module. The GNSS real-time dynamic mapping module, inertial measurement unit, and linear CCD visual mapping sensor are simultaneously activated, acquiring the three-dimensional coordinates of the tension line endpoints, vibration and torsional deformation information of the line, and microscopic displacement images of the line surface, respectively. The environmental parameter acquisition unit of the data processing module simultaneously acquires temperature and humidity data of the construction environment. All acquired data is bound with a unified timestamp to ensure data correlation. After preliminary screening, the data is transmitted to the data processing module.

[0046] After data acquisition, data fusion processing is performed. The data processing module first preprocesses the received 3D coordinate data, deformation data, micro-displacement image data, and environmental data, removing obvious abnormal data caused by cross-operation collisions or extreme temperature and humidity, and supplementing missing data using interpolation. It then calls the pre-stored Kalman filter optimization algorithm parameters in the data storage unit, sets the state equation and observation equation, and initializes the filter gain. In the specific implementation of this embodiment, a multi-source data weighted fusion model is constructed, using the formula... The three types of core data after preprocessing are initially fused, and then the formula is used to... Calculate the fusion weights of each data source. Combine the preliminary fused data with environmental data, input it into the Kalman filter optimization algorithm for multiple rounds of iterative calculations, and use the algorithm model to compensate for errors caused by environmental factors and single sensors. Finally, output comprehensive data including the spatial position, deformation, micro-displacement, and environmental correlation information of the line.

[0047] Next, coordinate calibration and offset calculation are performed. The data processing module obtains real-time updated parameters of the high-rise building construction coordinate system through the communication unit. If the parameters change, the latest parameters are used as the calibration benchmark, and the calibration benchmark is corrected by combining the collected environmental data. The three-dimensional coordinate information in the fused integrated data is compared point by point with the corrected construction coordinate system benchmark coordinates, and the coordinate deviation of each comparison point is calculated to obtain the preliminary horizontal offset. Initial offset in the vertical direction and the initial offset in the direction of torsion .

[0048] In the specific implementation process of this embodiment, through formula Calculate the final 3D offset, where the calibration coefficients are... , , Based on the historical calibration data fitting of the aforementioned embodiments, a correction term for the influence of temperature and humidity is added to ensure the accuracy of calibration results under complex environments. Finally, the overall translational and torsional offset of the tension wire is determined through spatial geometric calculations.

[0049] Finally, data is output. The data output module adopts a common data transmission protocol in the field of engineering surveying and mapping, supporting RS485, Ethernet, and wireless LAN transmission interfaces. In addition to tension wire identification information, data acquisition time, specific values ​​of offsets in each dimension, and data reliability parameters, the output data also includes corresponding ambient temperature, humidity, and tension data. The output data can be seamlessly integrated with the construction management system, and automatically generates offset trend analysis charts. When the offset exceeds a preset threshold, the data output module sends an alarm signal to the external construction control terminal through the communication unit, reminding construction personnel to make timely adjustments.

[0050] In summary, this embodiment improves the monitoring solution for complex mixed-use high-rise building construction scenarios by optimizing the device structure adaptability and adding environmental parameter acquisition and tension adaptive adjustment functions. By dynamically adjusting the acquisition frequency and fusing environmental data for error compensation, the system's anti-interference capability and environmental adaptability are effectively enhanced, resolving the benchmark transfer deviation problem caused by multi-process overlapping operations and changes in environmental temperature and humidity. The output data includes environmental and tension correlation information and supports trend analysis and anomaly alarms, further enhancing the data's guiding value for construction control, ensuring the construction accuracy of each functional area of ​​the super high-rise mixed-use building, reducing quality risks caused by structural deviations, and providing more comprehensive and reliable benchmark transfer monitoring technology support for complex high-rise building construction.

[0051] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A smart tension wire device for transmitting reference in high-rise buildings, characterized in that, The device includes: a reference fixing mechanism, a tensioning mechanism, a multi-source surveying data acquisition module, a data processing module, and a data output module; The reference fixing mechanism is used to fix both ends of the tension line to a preset reference point of the high-rise building, and the tensioning mechanism is connected to the tension line to apply a preset tension to it; The multi-source mapping data acquisition module is communicatively connected to the data processing module. The multi-source mapping data acquisition module includes a GNSS real-time dynamic mapping module, an inertial measurement unit, and a linear CCD visual mapping sensor. The GNSS real-time dynamic mapping module is used to acquire three-dimensional coordinate mapping data of the tension wire endpoints. The inertial measurement unit is used to capture vibration and torsional deformation information of the wire. The linear CCD visual mapping sensor is used to acquire microscopic displacement images of the wire surface. The data processing module incorporates a Kalman filter optimization algorithm to fuse multi-source surveying data and calibrate the fused data with the high-rise building construction coordinate system in real time. The data processing module is communicatively connected to the data output module, which outputs the calibrated offset data.

2. The intelligent tension wire device for transmitting reference in high-rise buildings according to claim 1, characterized in that, The reference fixing mechanism includes an anchor, an adjusting seat, and a clamping assembly. The anchor is used to fix the mounting surface of the preset reference point of the high-rise building. The adjusting seat is detachably connected to the anchor. The clamping assembly is disposed on the adjusting seat and is used to clamp and fix the end of the tension wire. The adjusting seat is provided with adjusting grooves extending in the horizontal and vertical directions. The clamping assembly cooperates with the adjusting grooves through fasteners and moves along the extension direction of the adjusting grooves to adjust the installation position of the end of the tension wire.

3. The intelligent tension wire device for transmitting reference in high-rise buildings according to claim 1, characterized in that, The tensioning mechanism includes an electric tensioner, a tension sensor, and a transmission assembly. The electric tensioner is connected to one end of the tension line through the transmission assembly. The tension sensor is located between the transmission assembly and the tension line to detect the tension value of the tension line in real time. The tension sensor is communicatively connected to the data processing module to transmit the detected tension data to the data processing module.

4. The intelligent tension wire device for transmitting reference in high-rise buildings according to claim 1, characterized in that, The data processing module includes a data storage unit, a computing unit, and a communication unit. The data storage unit is used to pre-store the coordinate system parameters of the high-rise building construction, the computing parameters of the Kalman filter optimization algorithm, and historical surveying data. The computing unit is used to perform multi-source data fusion calculations and coordinate calibration calculations. The communication unit uses wired or wireless communication to establish communication connections with the multi-source surveying data acquisition module, the data output module, and the external construction control terminal, respectively.

5. A method for monitoring the offset of an intelligent tension wire device for transmitting reference in high-rise buildings, applicable to the intelligent tension wire device for transmitting reference in high-rise buildings as described in any one of claims 1-4, characterized in that, The method includes the following steps: S1. Installation and commissioning of the device: Fix both ends of the tension line to the preset reference point of the high-rise building through the reference fixing mechanism, start the tensioning mechanism to apply tension to the tension line, so that the line reaches the preset straight state; S2. Multi-source data synchronous acquisition: Start the multi-source mapping data acquisition module, control the GNSS real-time dynamic mapping module, inertial measurement unit and linear CCD visual mapping sensor to work synchronously, and acquire the three-dimensional coordinates of the tension line endpoints, the vibration and torsional deformation information of the line body, and the micro-displacement image of the line body surface respectively. S3. Data fusion processing: The data processing module calls the Kalman filter optimization algorithm to perform fusion operations on the three types of collected data to offset the measurement error of a single sensor. S4. Coordinate calibration and offset calculation: The data processing module compares and calibrates the integrated data with the high-rise building construction coordinate system in real time, and calculates the offset values ​​of the tension line in the three dimensions of horizontal, vertical and torsional. S5. Data Output: The data output module outputs the three-dimensional offset values ​​in a format that conforms to engineering surveying standards.

6. The method for monitoring the offset of an intelligent tension wire device for transmitting reference in high-rise buildings according to claim 5, characterized in that, Step S1, during device installation and commissioning, includes the following steps: The specific location of the preset benchmark point is determined according to the construction design documents of the high-rise building. The installation surface of the benchmark point is leveled to ensure that the flatness of the installation surface meets the installation requirements of the device. The anchor of the reference fixing mechanism is fixed to the reference point mounting surface, and the position of the clamping component is adjusted by the adjustment slot of the adjustment seat so that the clamping components of the two reference fixing mechanisms are on the same preset reference line. Fix both ends of the tension wire to the two clamping components respectively, so that the wire is firmly connected to the clamping components without loosening; Start the tensioning mechanism and gradually apply tension to the tension line while observing the condition of the line until there is no obvious sagging or vibration, and the preset straightening state is achieved, thus completing the device debugging.

7. The method for monitoring the offset of an intelligent tension wire device for transmitting reference in high-rise buildings according to claim 5, characterized in that, Step S2, when performing multi-source data synchronous acquisition, includes the following steps: The data processing module sends a synchronous acquisition command to the multi-source mapping data acquisition module to set the data acquisition frequency and acquisition duration. After receiving the synchronization command, the GNSS real-time dynamic mapping module starts the satellite signal receiving unit, captures the satellite signal and calculates the three-dimensional coordinate data of the tension wire endpoint, and transmits it to the data processing module in real time at the set frequency. In response to the synchronization command, the inertial measurement unit activates its internal sensing elements to detect the vibration frequency, amplitude, and torsional angle of the line in real time, converts the captured deformation information into electrical signal data, and transmits it to the data processing module. The linear CCD vision mapping sensor starts the shooting function according to the synchronization command, continuously shoots the surface of the tension line, acquires micro displacement image data, and transmits it to the data processing module after preliminary processing.

8. The method for monitoring the offset of an intelligent tension wire device for transmitting reference in high-rise buildings according to claim 5, characterized in that, Step S3, when performing data fusion processing, includes the following steps: The data processing module preprocesses the three types of raw data received, removes obviously abnormal data, and interpolates and supplements missing data. Call the pre-stored Kalman filter optimization algorithm operation parameters in the data storage unit, set the state equation and observation equation, and initialize the filter gain; Construct a multi-source data weighted fusion model, using formulas Preliminary fusion of preprocessed GNSS real-time dynamic mapping data, inertial measurement unit data, and linear CCD visual mapping data is performed. To initially integrate the data, The three-dimensional coordinate data collected by the GNSS real-time dynamic mapping module. Deformation data collected by the inertial measurement unit. Microscopic displacement image data acquired by a linear CCD vision mapping sensor. The fusion weights for each data source, The result is obtained by normalizing the reciprocal of the variance of the real-time measurement error of each sensor, specifically through the formula... calculate; The initial fused data is input into the Kalman filter optimization algorithm for multiple rounds of iterative calculations. The algorithm model further compensates and corrects the data errors. Based on the results of the iterative calculations, the fused comprehensive data is output, which includes the spatial position, deformation and micro displacement information of the line.

9. The method for monitoring the offset of an intelligent tension wire device for transmitting reference in high-rise buildings according to claim 5, characterized in that, In step S4, before performing coordinate calibration, the data processing module first obtains the real-time updated parameters of the high-rise building construction coordinate system through the communication unit. When the construction coordinate system parameters change, the latest parameters are used as the calibration benchmark. During the coordinate calibration process, the three-dimensional coordinate information in the fused integrated data is first compared point by point with the benchmark coordinates of the construction coordinate system, and the coordinate deviation of each comparison point is calculated to obtain the preliminary horizontal offset. Initial offset in the vertical direction and the initial offset in the direction of torsion Then through the formula Calculate the final three-dimensional offset of the tension wire, where This is the final 3D offset. The calibration coefficients for each direction are used, and finally, through spatial geometric calculations, the translational offset of the tension wire in the horizontal and vertical directions and the torsional offset around the axis are determined.

10. The method for monitoring the offset of an intelligent tension wire device for transmitting reference in high-rise buildings according to claim 5, characterized in that, In step S5, when the data output module outputs the three-dimensional offset values, it adopts a data transmission protocol commonly used in the field of engineering surveying and mapping, and supports RS485, Ethernet or wireless LAN transmission interfaces. The output data includes the identification information of the tension wire, the data acquisition time, the specific values ​​of the offset in each dimension and the data reliability parameters. The data reliability parameters are determined based on the error range after the fusion of multi-source data.

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