Modularized integrated building curtain wall system and installation method thereof

Abstract

The invention relates to the field of integrated manufacturing systems, and discloses a modular integrated building curtain wall system and a mounting method thereof. The system comprises an MIC main body structure module; a curtain wall unit module; the modularized connecting structure comprises a horizontal plug-in type connecting assembly with a deformation compensation gap and a vertical socket-and-spigot type connecting assembly. The socket type connecting assembly is provided with a temperature deformation self-adaptive adjusting mechanism, and the adjusting mechanism comprises a socket structure with a memory alloy sleeve; the BIM intelligent integrated interface comprises a control module and is used for acquiring real-time pose data corresponding to the curtain wall unit module through a preset laser positioning reflector plate; kalman filtering fusion is carried out based on preset parameters of the BIM model and preset wireless stress sensor actual measurement data, and a pose correction amount is generated; and generating an MIC main body structure module, a curtain wall unit module and corresponding module installation information according to the real-time pose data and the pose correction amount. And a more efficient, accurate and economical technical scheme is provided for production of building curtain walls.

Description

Technical Field

[0001] The present application relates to the field of integrated manufacturing systems, and in particular to a modular integrated building curtain wall system and an installation method thereof. Background Art

[0002] In the field of building curtain walls, traditional construction technology has long faced the industry pain point of being difficult to balance efficiency and performance. The existing frame curtain wall system relies on on-site welding of keel structures and layer-by-layer panel installation. The complexity of the process and the construction period are growing exponentially. Statistics show that the on-site operation time of a single-layer curtain wall accounts for more than 35% of the total construction period. What is more serious is that the manual installation process leads to a high single-layer cumulative error, and the overall offset of high-rise buildings often exceeds the acceptance standard value. Although the unitized curtain wall has improved some construction efficiency through factory prefabrication, its standardized unit modules are difficult to adapt to the customization needs of curved and special-shaped buildings. The single rubber strip sealing solution used in the existing technology is prone to stress concentration under the action of temperature deformation, resulting in an excessively high leakage rate over a five-year period.

[0003] There are three core defects in the current technology: 1. The structural connection system is too rigid and lacks three-dimensional adjustability, which cannot absorb the inherent assembly cumulative errors of modular buildings; 2. The performance structural layer (waterproofing / thermal insulation / sound insulation) is constructed in layers on site, and the cross-contamination of the process leads to a high performance attenuation rate; 3. The application of BIM technology remains at the static model guidance stage, and dynamic error compensation and intelligent decision-making in the construction process have not been achieved. Especially when encountering complex curved curtain walls, the material waste rate of the existing modular solution is too high, which seriously restricts the development of green buildings.

[0004] Therefore, there is an urgent need for a modular integrated construction (MIC) curtain wall system to solve at least one of the above problems. Summary of the invention

[0005] This application provides a modular integrated building curtain wall system and its installation method, aiming to solve the three core defects of current technology: 1. The structural connection system is too rigid and lacks three-dimensional adjustability, which cannot absorb the inherent assembly cumulative errors of modular buildings; 2. The performance structural layer (waterproofing / insulation / sound insulation) is constructed in layers on site, and the cross-contamination of the process leads to a high performance attenuation rate; 3. The application of BIM technology remains in the static model guidance stage, and the dynamic error compensation and intelligent decision-making of the construction process have not been realized. Especially when encountering complex curved curtain walls, the material waste rate of the existing modular solution is too high, which seriously restricts the development of green buildings.

[0006] In a first aspect, the present application provides a modular integrated building curtain wall system, comprising:

[0007] MIC main structure module, including building load-bearing structure and embedded connectors;

[0008] The curtain wall unit module includes an integrated glass curtain wall unit, an aluminum plate curtain wall unit, a balcony railing unit and an aluminum plate ceiling unit at the bottom of the balcony;

[0009] A modular connection structure, comprising a horizontal plug-in connection component and a vertical socket connection component, wherein the plug-in connection component is provided with a deformation compensation gap pre-calculated according to a BIM model corresponding to a modular integrated building curtain wall system, and further comprises a convex guide rail with a slope guide surface and a concave slide groove; the socket connection component is provided with a temperature deformation self-adaptive adjustment mechanism, wherein the adjustment mechanism comprises a socket structure with a memory alloy sleeve;

[0010] The BIM intelligent integration interface includes a control module, which is used to obtain the real-time posture data corresponding to the curtain wall unit module through a preset laser positioning reflector; perform Kalman filtering fusion based on the preset parameters of the BIM model and the preset wireless stress sensor measured data to generate a posture correction; generate the MIC main structure module, curtain wall unit module and corresponding module installation information according to the real-time posture data and the posture correction, and complete the installation of the MIC main structure module, curtain wall unit module and modular connection structure according to the module installation information to obtain the modular integrated building curtain wall system.

[0011] In some embodiments, the laser positioning reflective sheet is arranged at the four corners of the curtain wall unit module and the docking boundary of the modular connection structure, and the surface of the laser positioning reflective sheet is provided with a unique coding mark based on the coordinate system corresponding to the BIM model; the real-time posture data corresponding to the curtain wall unit module is obtained by using the preset laser positioning reflective sheet, including: performing multi-angle scanning on the laser positioning reflective sheet according to a preset laser scanner to obtain the three-dimensional coordinates and coding mark corresponding to the laser positioning reflective sheet; matching the corresponding preset coordinates in the BIM model according to the coding mark, and calculating the actual installation position, horizontal inclination angle and vertical deflection angle corresponding to the curtain wall unit module through a coordinate conversion algorithm; generating real-time posture data including three-dimensional displacement and attitude angle according to the actual installation position, horizontal inclination angle and vertical deflection angle.

[0012] In some embodiments, the wireless stress sensor is embedded in the contact surface between the convex guide rail and the concave slide groove of the horizontal plug-in connection component, and in the contact surface between the memory alloy sleeve and the socket interface of the vertical socket connection component; the preset parameters based on the BIM model and the preset measured data of the wireless stress sensor are fused by Kalman filtering to generate a posture correction value, including: taking the preset parameters of the BIM model as the state equation and the measured data as the observation equation; establishing an adaptive filtering model according to the state equation and the observation equation; generating a process noise covariance matrix according to the deformation characteristics of the memory alloy sleeve, and dynamically adjusting the observation noise weight corresponding to the covariance matrix according to the sampling frequency of the wireless stress sensor; iteratively calculating the posture correction value under the minimum variance according to the adaptive filtering model and the covariance matrix; the posture correction value includes a horizontal plug-in gap compensation value, a vertical socket angle compensation value and a preload threshold between modules.

[0013] In some embodiments, the MIC main structure module, curtain wall unit module and corresponding module installation information are generated according to the real-time posture data and the posture correction amount, including: spatial topological matching of the real-time posture data with the preset parameters of the BIM model to obtain the type of docking error between modules; establishing an error compensation matrix according to the posture correction amount, and generating the module installation information according to the error compensation matrix; the module installation information includes at least a slope adjustment instruction of the horizontal plug-in guide surface, a pre-compression control instruction of the memory alloy sleeve of the vertical socket structure, and a tightening sequence optimization instruction of the modular connection structure, and the tightening sequence optimization instruction is used to dynamically adjust the bolt preload application gradient of the modular connection structure according to the feedback data of the wireless stress sensor.

[0014] Exemplarily, the method of dynamically adjusting the bolt preload gradient of the modular connection structure according to the feedback data of the wireless stress sensor includes: setting a three-axis wireless stress sensor at the bolt connection node of the modular connection structure to monitor the bolt axial stress, shear stress and torque data corresponding to the bolt connection node in real time; generating a preload gradient model, and setting the initial preload corresponding to the preload gradient model to 70%-80% of the preset value of the BIM model; dynamically adjusting the preload gradient corresponding to the preload gradient model according to the stress distribution uniformity index corresponding to the feedback data; when it is monitored that the stress difference of the corresponding adjacent bolt nodes of the modular connection structure exceeds a threshold, triggering the gradient compensation algorithm, preferentially loading the low stress nodes step by step at a gradient of 5%-10% until the stress values ​​of all nodes reach within the error band of ±3% of the preset threshold.

[0015] In some embodiments, the installation of the MIC main structure module, the curtain wall unit module and the modular connection structure is completed according to the module installation information, including: positioning the curtain wall unit module to the preset coordinates corresponding to the module installation information through a preset automatic lifting equipment, and dynamically correcting the deviation through a laser positioning reflector; controlling the adjustment mechanism of the modular connection structure according to the posture correction amount; wherein the slope surface of the convex guide rail is driven by a servo motor to achieve millimeter-level real-time compensation of the plug-in gap; the memory alloy sleeve of the vertical socket connection assembly activates the shape memory effect through a preset temperature adjustment module to achieve adaptive adjustment of the socket angle; according to the feedback data of the wireless stress sensor, a gradient loading algorithm is used to apply a preload force on the connection node until the measured stress value reaches the 95%-105% range of the preset threshold of the BIM model.

[0016] In some embodiments, the embedded connector of the MIC main structure module adopts a multi-degree-of-freedom adjustable anchoring system, which includes: a horizontally arranged elastic support member, which is arranged in the horizontal direction of the MIC main structure module, and the elastic support member is composed of a composite of laminated rubber and disc springs, and the elastic modulus ranges from 5-20GPa; a vertically arranged ball joint connector, with a built-in angle compensation mechanism, and the corresponding deflection compensation is ±5°; an anti-corrosion and conductive dual-functional coating, which covers the surface of the embedded connector, and the coating resistivity is ≤1×10⁻³Ω·m, which is used to establish an electrostatic conduction path between modules.

[0017] In some embodiments, a topological interlocking connection structure is adopted between the balcony railing unit and the MIC main structure module, and the topological interlocking connection structure includes: a T-shaped pre-embedded groove, which is arranged at the bottom of the column corresponding to the balcony railing unit, and the inner wall of the T-shaped pre-embedded groove is provided with a self-lubricating polymer material layer; a quick-clamping assembly cooperating with the groove, and the quick-clamping assembly includes a wedge-shaped locking block driven by a memory alloy; a double-layer gradient density foam strip, which is arranged at the sealing interface between the balcony railing unit and the MIC main structure module, the inner layer density of the double-layer gradient density foam strip is 80-100kg / m³, and the outer layer density is 120-150kg / m³, and the double-layer gradient density foam strip forms a continuous isobaric cavity after installation and compression.

[0018] In some embodiments, after acquiring the modular integrated building curtain wall system, the control module is further used for: after the MIC main structure module is hoisted, acquiring actual installation data corresponding to the modular integrated building curtain wall system through a laser scanner, and performing point cloud comparison between the actual installation data and the BIM model; when it is determined according to the comparison result corresponding to the point cloud comparison that the module joint width error between the MIC main structure module, the curtain wall unit module and the modular connection structure is greater than 2mm / or the angle deviation is greater than 0.5°, generating a model correction instruction, the model correction instruction at least including the thermal expansion coefficient compensation value of the adjacent module connection node, the pre-processing size adjustment amount of the subsequent module to be installed, and the trajectory optimization parameters of the hoisting path; and updating the BIM model according to the model correction instruction.

[0019] In a second aspect, the present application provides an installation method of a modular integrated building curtain wall system, which is applied to a control module of a modular integrated building curtain wall system provided in any embodiment of the present application; the method comprises:

[0020] The real-time position data corresponding to the curtain wall unit module is obtained through the preset laser positioning reflector;

[0021] Kalman filter fusion is performed based on the preset parameters of the BIM model and the preset measured data of the wireless stress sensor to generate posture corrections;

[0022] Generate the MIC main structure module, curtain wall unit module and corresponding module installation information according to the real-time posture data and posture correction amount;

[0023] The installation of the MIC main structure module, the curtain wall unit module and the modular connection structure is completed according to the module installation information to obtain the modular integrated building curtain wall system.

[0024] The present application provides a modular integrated building curtain wall system and its installation method. The modular structural system of the modular integrated building curtain wall system includes: MIC main structure module: integrated building load-bearing structure and embedded connectors, serving as the basic carrier for modular installation. Multifunctional curtain wall unit module: prefabricate and integrate glass curtain wall, aluminum curtain wall, balcony railing and ceiling unit in the factory to reduce on-site sub-item construction.

[0025] The adaptive connection structure includes: plug-in horizontal connection components: through the combination of convex guide rails with sloped guide surfaces and concave slides, combined with the deformation compensation gap pre-calculated by BIM, flexible adjustment in three-dimensional direction is achieved to absorb the cumulative assembly error. Socket-type vertical connection components: using the temperature deformation adaptive mechanism of the memory alloy sleeve, dynamically compensate for thermal expansion and contraction deformation, and avoid stress concentration in rigid connections.

[0026] The BIM intelligent integration interface monitors the curtain wall posture in real time through laser positioning reflectors, combines wireless stress sensor data with BIM model parameters, and uses the Kalman filter algorithm to generate dynamic correction instructions to achieve intelligent compensation for construction errors and decision optimization.

[0027] Through the flexible guiding design and deformation compensation gap of the structure, the accumulated errors of modular assembly can be effectively absorbed, which is especially suitable for high-precision fitting of complex curved curtain walls and reduces the material waste rate (in line with the needs of green buildings). The temperature adaptive ability of the memory alloy sleeve avoids the risk of structural cracking caused by environmental deformation. The curtain wall unit module is prefabricated in the factory with integrated waterproof, thermal insulation, sound insulation and other functional layers, which reduces the cross-contamination of the on-site layered construction process and significantly reduces the performance attenuation rate. BIM technology has been upgraded from a static model to a dynamic control tool. Through real-time posture data fusion and dynamic correction, it realizes full-cycle error compensation in the construction process, shortens the construction period and reduces rework. Modular design reduces the amount of on-site work, and BIM optimization of complex curved curtain walls reduces the material loss rate, which meets the requirements of green building development. The flexible connection structure, integrated prefabrication of functional layers and BIM dynamic decision-making are deeply integrated to systematically solve the problems of error control, stable performance and intelligent construction of modular curtain walls, and promote the upgrading of prefabricated building technology.

[0028] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 It is a structural schematic diagram of a modular integrated building curtain wall system provided by an embodiment of the present application;

[0031] Figure 2 It is an enlarged schematic diagram of view A of a modular integrated building curtain wall system provided in one embodiment of the present application;

[0032] Figure 3 It is an enlarged schematic diagram of view B of a modular integrated building curtain wall system provided in one embodiment of the present application;

[0033] Figure 4 It is a schematic flow chart of the steps of the installation method of the modular integrated building curtain wall system provided by an embodiment of the present application;

[0034] Figure 5It is a schematic block diagram of the structure of a control module provided in one embodiment of the present application.

[0035] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0038] It should be understood that, in order to facilitate the clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0039] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0040] It should also be understood that the term “and / or” used in the specification and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0041] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0042] In the field of building curtain walls, traditional construction technology has long faced the industry pain point of being difficult to balance efficiency and performance. The existing frame curtain wall system relies on on-site welding of keel structures and layer-by-layer panel installation. The complexity of the process and the construction period are growing exponentially. Statistics show that the on-site operation time of a single-layer curtain wall accounts for more than 35% of the total construction period. What is more serious is that the manual installation process leads to a high single-layer cumulative error, and the overall offset of high-rise buildings often exceeds the acceptance standard value. Although the unitized curtain wall has improved some construction efficiency through factory prefabrication, its standardized unit modules are difficult to adapt to the customization needs of curved and special-shaped buildings. The single rubber strip sealing solution used in the existing technology is prone to stress concentration under the action of temperature deformation, resulting in an excessively high leakage rate over a five-year period.

[0043] There are three core defects in the current technology: 1. The structural connection system is too rigid and lacks three-dimensional adjustability, which cannot absorb the inherent assembly cumulative errors of modular buildings; 2. The performance structural layer (waterproofing / thermal insulation / sound insulation) is constructed in layers on site, and the cross-contamination of the process leads to a high performance attenuation rate; 3. The application of BIM technology remains at the static model guidance stage, and dynamic error compensation and intelligent decision-making in the construction process have not been achieved. Especially when encountering complex curved curtain walls, the material waste rate of the existing modular solution is too high, which seriously restricts the development of green buildings.

[0044] Therefore, there is an urgent need for a modular integrated building curtain wall system to solve at least one of the above problems.

[0045] To solve the above problems, please refer to Figures 1 to 3The present application provides a modular integrated building curtain wall system, including: a MIC main structure module 10, including a building load-bearing structure and embedded connectors; a curtain wall unit module 20, including an integrated glass curtain wall unit, an aluminum curtain wall unit, a balcony railing unit and an aluminum ceiling unit at the bottom of the balcony; a modular connection structure 30, including a horizontal plug-in connection component and a vertical socket connection component, the plug-in connection component is provided with a deformation compensation gap pre-calculated according to the BIM model corresponding to the modular integrated building curtain wall system, and also includes a convex guide rail with a slope guide surface and a concave slide groove; the socket connection component is provided with a temperature deformation adaptive adjustment mechanism, the adjustment mechanism includes a memory alloy The socket structure of the casing; a BIM intelligent integrated interface (not shown in the figure, the specific installation position can be set arbitrarily according to actual needs), including a control module, which is used to obtain the real-time posture data corresponding to the curtain wall unit module through a preset laser positioning reflector; Kalman filtering is performed based on the preset parameters of the BIM model and the preset measured data of the wireless stress sensor to generate a posture correction; the MIC main structure module, the curtain wall unit module and the corresponding module installation information are generated according to the real-time posture data and the posture correction, which is used to complete the installation of the MIC main structure module, the curtain wall unit module and the modular connection structure according to the module installation information, and obtain the modular integrated building curtain wall system.

[0046] Specifically, the modular integrated building curtain wall system aims to solve the problems of low efficiency, error accumulation, performance degradation, and material waste in traditional curtain wall construction. Through modular design, intelligent integrated interface, and dynamic error compensation technology, the system achieves efficient, precise, and green curtain wall construction.

[0047] The MIC main structure module is part of the building's load-bearing structure and contains embedded connectors for quick docking with the curtain wall unit modules and modular connection structures. The position and size of the embedded connectors are precisely designed according to the BIM model to ensure compatibility with the curtain wall unit modules.

[0048] The curtain wall unit modules include glass curtain wall units, aluminum curtain wall units, balcony railing units and balcony bottom aluminum ceiling units, all of which are prefabricated in the factory. Each unit module integrates performance structural layers such as waterproofing, thermal insulation, and sound insulation, avoiding the performance degradation problem caused by on-site layered construction. The size and shape of the unit module can be customized according to the BIM model to meet the needs of curved and special-shaped buildings.

[0049] In the modular connection structure, the horizontal plug-in connection component is equipped with a deformation compensation gap, and the deformation of the module after installation is pre-calculated according to the BIM model to ensure the connection accuracy. It includes a convex guide rail with a slope guide surface and a concave slide, which facilitates the rapid positioning and installation of the module. The vertical socket connection component is equipped with a temperature deformation adaptive adjustment mechanism, and adopts a memory alloy sleeve, which can automatically adjust the connection gap when the temperature changes to avoid stress concentration and leakage problems.

[0050] The BIM intelligent integration interface includes a control module, which obtains the posture data of the curtain wall unit module in real time through the laser positioning reflector. Based on the preset parameters of the BIM model and the measured data of the wireless stress sensor, the Kalman filter algorithm is used for data fusion to generate posture corrections. Based on the real-time posture data and corrections, the module installation information is generated to guide the construction personnel to complete the precise installation.

[0051] For example, during the design phase, BIM technology can be used to build a three-dimensional model of the building curtain wall, accurately design the size and position of the MIC main structure module, curtain wall unit module and modular connection structure. In the BIM model, the deformation of the module after installation can be pre-calculated, and the deformation compensation gap and temperature deformation adaptive adjustment mechanism can be designed.

[0052] In the factory prefabrication stage, curtain wall unit modules and modular connection structures are prefabricated in the factory according to BIM model data to ensure dimensional accuracy and the integrity of the performance structure layer. Laser positioning reflectors and wireless stress sensors are pre-embedded in the curtain wall unit modules.

[0053] Install the MIC main structure module during the on-site construction phase to ensure the accurate position of the embedded connectors. Use the BIM intelligent integration interface to obtain the posture data of the curtain wall unit module in real time through the laser positioning reflector. Guide the precise installation of the curtain wall unit module based on the posture correction value generated by the BIM model and measured data. Use modular connection structures to quickly complete horizontal and vertical connections to ensure the realization of deformation compensation and temperature deformation adaptation functions. Verify the installation accuracy and performance indicators of the curtain wall system through the BIM model and wireless stress sensor data. Regularly monitor the working status of the temperature deformation adaptive adjustment mechanism to ensure the sealing performance during long-term use.

[0054] Through modular design and factory prefabrication, the on-site operation time is greatly reduced, and the construction time of a single-layer curtain wall can be shortened to less than 50% of the traditional method. Plug-in and socket-type connection components simplify the installation process and increase the construction speed. BIM intelligent integrated interface and laser positioning technology realize the precise positioning of curtain wall unit modules, and the cumulative error is controlled at the millimeter level, meeting the acceptance standards of high-rise buildings. The deformation compensation gap and temperature deformation adaptive adjustment mechanism effectively absorb the assembly error and temperature deformation, avoiding leakage and stress concentration problems. The prefabricated performance structural layer in the factory avoids cross contamination during on-site construction and ensures the long-term stability of waterproof, thermal insulation, sound insulation and other properties. The five-year leakage rate is reduced to less than 1%, which significantly improves the durability of the curtain wall system. Modular design can customize unit modules according to the BIM model to meet the needs of complex curved surfaces and special-shaped buildings, and the material waste rate is reduced to less than 5%. The concept of green building runs through the entire system design and meets the requirements of sustainable development. The dynamic application of BIM technology realizes intelligent decision-making and error compensation in the construction process, improving the construction quality and management level. Wireless stress sensors and Kalman filter algorithms provide data support for long-term monitoring and maintenance of curtain wall systems.

[0055] In summary, this modular integrated building curtain wall system effectively solves the problems of low efficiency, error accumulation, performance degradation and material waste in traditional curtain wall construction through innovative modular design, intelligent integrated interface and dynamic error compensation technology. Its high efficiency, precision and green characteristics provide a new solution for modern building curtain wall construction, with broad application prospects and significant economic and social benefits.

[0056] In some embodiments, the laser positioning reflective sheet is arranged at the four corners of the curtain wall unit module and the docking boundary of the modular connection structure, and the surface of the laser positioning reflective sheet is provided with a unique coding mark based on the coordinate system corresponding to the BIM model; the real-time posture data corresponding to the curtain wall unit module is obtained by using the preset laser positioning reflective sheet, including: performing multi-angle scanning on the laser positioning reflective sheet according to a preset laser scanner to obtain the three-dimensional coordinates and coding mark corresponding to the laser positioning reflective sheet; matching the corresponding preset coordinates in the BIM model according to the coding mark, and calculating the actual installation position, horizontal inclination angle and vertical deflection angle corresponding to the curtain wall unit module through a coordinate conversion algorithm; generating real-time posture data including three-dimensional displacement and attitude angle according to the actual installation position, horizontal inclination angle and vertical deflection angle.

[0057] The embodiment mainly relates to the setting of laser positioning reflective sheet and its application in the installation of curtain wall unit module. Through the combination of laser positioning reflective sheet and BIM model, the accurate positioning of curtain wall unit module and the acquisition of real-time posture data are realized.

[0058] The laser positioning reflective sheets are arranged at the four corners of the curtain wall unit module and the docking boundary of the modular connection structure. The surface of each laser positioning reflective sheet is provided with a unique coding mark based on the corresponding coordinate system of the BIM model, which is used for rapid identification and matching during the construction process. The laser positioning reflective sheet is scanned at multiple angles using a preset laser scanner to obtain the three-dimensional coordinates and coding mark of the reflective sheet. The scanner uses high-precision laser ranging technology to ensure the accuracy and real-time performance of the coordinate data. According to the coding mark of the laser positioning reflective sheet, the corresponding preset coordinates in the BIM model are matched. Through the coordinate conversion algorithm (such as rotation matrix and translation vector calculation), the three-dimensional coordinates obtained by scanning are converted into the actual installation position, horizontal tilt angle and vertical deflection angle. According to the actual installation position, horizontal tilt angle and vertical deflection angle, real-time posture data containing three-dimensional displacement and attitude angle are generated. The posture data is sent to the control module of the BIM intelligent integration interface through wireless transmission to guide the construction personnel to perform precise installation. The real-time posture data is compared with the preset parameters in the BIM model to calculate the installation error. The measured data of the wireless stress sensor is fused through the Kalman filter algorithm to generate the posture correction. Adjust the installation position and angle of the curtain wall unit module according to the correction amount to ensure installation accuracy. Real-time posture data and correction amount are recorded in the BIM model to form a dynamic database of the construction process. Construction personnel can view the installation progress and error in real time through mobile devices to ensure construction quality.

[0059] The embodiment realizes the accurate positioning of the curtain wall unit module and the acquisition of real-time posture data through the combination of laser positioning reflective sheet and BIM model. The multi-angle scanning and coordinate conversion algorithm of the laser positioning reflective sheet ensures the accurate calculation of the actual installation position, horizontal tilt angle and vertical deflection angle, and the cumulative error is controlled at the millimeter level. The overall offset of the high-rise building is significantly reduced, meeting the strict acceptance standards. The comparison of real-time posture data with the preset parameters of the BIM model, combined with the Kalman filter algorithm, realizes the dynamic compensation of the installation error. It effectively solves the error accumulation problem caused by manual operation in traditional construction. The unique coding identification and automatic matching function of the laser positioning reflective sheet simplifies the positioning and identification process during the construction process and shortens the installation time. The on-site operation time of a single-layer curtain wall can be reduced to less than 30% of the traditional method. The real-time posture data and construction progress are dynamically displayed through the BIM model, and the construction personnel can check the installation status and error at any time. It improves the visualization and transparency of the construction process, which is convenient for quality management and problem tracing. The application of laser positioning technology reduces the workload of manual measurement and positioning and reduces the risk of human operation errors. Especially in high-altitude operations, it significantly improves construction safety. The precise positioning and dynamic error compensation functions of the laser positioning reflector are suitable for curtain wall construction of complex curved surfaces and special-shaped buildings.

[0060] In some embodiments, the wireless stress sensor is embedded in the contact surface between the convex guide rail and the concave slide groove of the horizontal plug-in connection component, and in the contact surface between the memory alloy sleeve and the socket interface of the vertical socket connection component; the preset parameters based on the BIM model and the preset measured data of the wireless stress sensor are fused by Kalman filtering to generate a posture correction value, including: taking the preset parameters of the BIM model as the state equation and the measured data as the observation equation; establishing an adaptive filtering model according to the state equation and the observation equation; generating a process noise covariance matrix according to the deformation characteristics of the memory alloy sleeve, and dynamically adjusting the observation noise weight corresponding to the covariance matrix according to the sampling frequency of the wireless stress sensor; iteratively calculating the posture correction value under the minimum variance according to the adaptive filtering model and the covariance matrix; the posture correction value includes a horizontal plug-in gap compensation value, a vertical socket angle compensation value and a preload threshold between modules.

[0061] The embodiments mainly involve the embedding of wireless stress sensors and their application in dynamic error compensation. By embedding wireless stress sensors into the contact surface of modular connection structures and combining BIM models and Kalman filter algorithms, stress monitoring and posture correction during the installation of curtain wall unit modules are achieved. Wireless stress sensors are embedded in the contact surface between the convex guide rail and the concave slide groove of the horizontal plug-in connection component to monitor the contact stress during the plug-in process. Wireless stress sensors are embedded in the contact surface between the memory alloy sleeve and the socket interface of the vertical socket connection component to monitor the contact stress and temperature deformation during the socket process.

[0062] The preset parameters of the BIM model are used as the state equation, including the design size, material properties and installation position of the modular connection structure. The measured data of the wireless stress sensor is used as the observation equation, including contact stress, temperature deformation and preload between modules.

[0063] An adaptive filtering model is established based on the state equation and observation equation to describe the dynamic error during the installation of curtain wall unit modules. The model takes into account the deformation characteristics of the memory alloy sleeve and the sampling frequency of the wireless stress sensor to ensure the accuracy and real-time performance of the filtering process.

[0064] The process noise covariance matrix is ​​generated according to the deformation characteristics of the memory alloy sleeve to describe the influence of temperature deformation on the installation error. The observation noise weight is dynamically adjusted according to the sampling frequency of the wireless stress sensor to ensure the matching of the filtering result with the actual data.

[0065] According to the adaptive filtering model and covariance matrix, the Kalman filter algorithm is used to iteratively calculate the pose correction under the minimum variance. The pose correction includes: Horizontal plug-in gap compensation value: used to adjust the installation gap of the horizontal plug-in connection component to ensure the plug-in accuracy. Vertical socket angle compensation value: used to adjust the installation angle of the vertical socket connection component to ensure the socket accuracy. Inter-module preload threshold: used to control the preload of the modular connection structure to avoid stress concentration and material fatigue.

[0066] According to the posture correction, the BIM intelligent integration interface guides construction workers to adjust the installation position and angle of the curtain wall unit module. Real-time monitoring of the contact stress and temperature deformation of the modular connection structure ensures the stability and safety of the installation process. The posture correction and stress monitoring data are recorded in the BIM model to form a dynamic database of the construction process. Construction workers can view the installation error and stress status in real time through mobile devices to ensure construction quality.

[0067] The embodiment realizes stress monitoring and dynamic error compensation during the installation of curtain wall unit modules through the combination of wireless stress sensors and Kalman filter algorithm. The posture correction value generated by the Kalman filter algorithm effectively reduces the cumulative error during the installation process and ensures the precise positioning of the curtain wall unit modules. The horizontal plug-in gap compensation value and the vertical socket angle compensation value significantly improve the installation accuracy of the modular connection structure. The wireless stress sensor monitors the contact stress and temperature deformation of the modular connection structure in real time to ensure the stability and safety of the installation process. The embodiment realizes stress monitoring and dynamic error compensation during the installation of curtain wall unit modules through the innovative application of wireless stress sensors and Kalman filter algorithm.

[0068] In some embodiments, the MIC main structure module, curtain wall unit module and corresponding module installation information are generated according to the real-time posture data and the posture correction amount, including: spatial topological matching of the real-time posture data with the preset parameters of the BIM model to obtain the type of docking error between modules; establishing an error compensation matrix according to the posture correction amount, and generating the module installation information according to the error compensation matrix; the module installation information includes at least a slope adjustment instruction of the horizontal plug-in guide surface, a pre-compression control instruction of the memory alloy sleeve of the vertical socket structure, and a tightening sequence optimization instruction of the modular connection structure, and the tightening sequence optimization instruction is used to dynamically adjust the bolt preload application gradient of the modular connection structure according to the feedback data of the wireless stress sensor.

[0069] The embodiment mainly involves the combination of real-time posture data and BIM model, and generates module installation information through spatial topology matching and error compensation matrix, thereby realizing the precise installation and dynamic adjustment of curtain wall unit modules.

[0070] By performing spatial topological matching between real-time posture data and preset parameters of the BIM model, the types of docking errors between modules are analyzed, including horizontal splicing gap error, vertical splicing angle error, and uneven distribution of preload force between modules.

[0071] The error compensation matrix is ​​established based on the posture correction value to describe the error distribution and compensation strategy during module installation. The error compensation matrix includes horizontal plug-in gap compensation value, vertical socket angle compensation value and inter-module preload compensation value.

[0072] Generate module installation information based on the error compensation matrix, including: Slope adjustment instruction for the horizontal plug-in guide surface: used to adjust the slope of the guide surface of the plug-in connection component to ensure the horizontal plug-in accuracy of the module. Pre-compression control instruction for the memory alloy sleeve of the vertical socket structure: used to control the pre-compression amount of the socket connection component to ensure the vertical socket accuracy of the module. Fastening sequence optimization instruction: used to dynamically adjust the bolt preload gradient of the modular connection structure according to the feedback data of the wireless stress sensor to ensure the uniformity of the preload distribution between modules.

[0073] According to the module installation information, the BIM intelligent integration interface guides the construction personnel to adjust the installation parameters of the modular connection structure. The stress state of the modular connection structure is monitored in real time to ensure the stability and safety of the installation process.

[0074] Module installation information and stress monitoring data are recorded in the BIM model to form a dynamic database of the construction process. Construction workers can view installation errors and stress status in real time through mobile devices to ensure construction quality.

[0075] The embodiment realizes the precise installation and dynamic adjustment of the curtain wall unit module by combining real-time posture data with the BIM model. The installation accuracy of the modular connection structure is ensured through the application of spatial topological matching and error compensation matrix, and the cumulative error is controlled at the millimeter level. The slope adjustment of the horizontal plug-in guide surface and the pre-compression control of the vertical socket structure significantly improve the installation accuracy of the module. The application of the tightening sequence optimization instruction and the pre-tightening force gradient model ensures the uniformity of the pre-tightening force distribution of the modular connection structure. Stress concentration and material fatigue caused by uneven pre-tightening force are avoided, and the service life of the curtain wall system is extended.

[0076] Exemplarily, the method of dynamically adjusting the bolt preload gradient of the modular connection structure according to the feedback data of the wireless stress sensor includes: setting a three-axis wireless stress sensor at the bolt connection node of the modular connection structure to monitor the bolt axial stress, shear stress and torque data corresponding to the bolt connection node in real time; generating a preload gradient model, and setting the initial preload corresponding to the preload gradient model to 70%-80% of the preset value of the BIM model; dynamically adjusting the preload gradient corresponding to the preload gradient model according to the stress distribution uniformity index corresponding to the feedback data; when it is monitored that the stress difference of the corresponding adjacent bolt nodes of the modular connection structure exceeds a threshold, triggering the gradient compensation algorithm, preferentially loading the low stress nodes step by step at a gradient of 5%-10% until the stress values ​​of all nodes reach within the error band of ±3% of the preset threshold.

[0077] The example is a specific application scenario of the above embodiment, which mainly involves the dynamic adjustment of the bolt preload of the modular connection structure. Through the three-axis wireless stress sensor and the preload gradient model, the precise control and dynamic optimization of the bolt preload are achieved. By setting a three-axis wireless stress sensor at the bolt connection node of the modular connection structure, it is used to monitor the bolt axial stress, shear stress and torque data in real time. The sensor data is sent to the BIM intelligent integration interface via wireless transmission to generate a preload gradient model. The initial preload of the preload gradient model is set to 70%-80% of the preset value of the BIM model to ensure the initial stability of the bolt connection. According to the feedback data of the three-axis wireless stress sensor, the preload application gradient corresponding to the preload gradient model is dynamically adjusted. According to the stress distribution uniformity index corresponding to the feedback data, the preload application gradient corresponding to the preload gradient model is dynamically adjusted. When the stress difference between adjacent bolt nodes is monitored to exceed the threshold, the gradient compensation algorithm is triggered, and the low stress nodes are preferentially loaded step by step at a gradient of 5%-10%. The loading process continues until the stress values ​​of all nodes reach the ±3% error band of the preset threshold. The preload gradient model and stress monitoring data are recorded in the BIM model to form a dynamic database of the construction process. Construction workers can view the preload status and stress distribution in real time through mobile devices to ensure construction quality.

[0078] The example combines the three-axis wireless stress sensor and the preload gradient model to achieve precise control and dynamic optimization of the preload force of the bolts in the modular connection structure. The application of the three-axis wireless stress sensor ensures the precise monitoring of the bolt axial stress, shear stress and torque data. The application of the preload gradient model and gradient compensation algorithm ensures the precise control of the bolt preload force, and the cumulative error is controlled within ±3%. Dynamic adjustment of the preload gradient ensures the uniformity of stress distribution in the modular connection structure. Stress concentration and material fatigue caused by uneven preload force are avoided, and the service life of the curtain wall system is extended.

[0079] In some embodiments, the installation of the MIC main structure module, the curtain wall unit module and the modular connection structure is completed according to the module installation information, including: positioning the curtain wall unit module to the preset coordinates corresponding to the module installation information through a preset automatic lifting equipment, and dynamically correcting the deviation through a laser positioning reflector; controlling the adjustment mechanism of the modular connection structure according to the posture correction amount; wherein the slope surface of the convex guide rail is driven by a servo motor to achieve millimeter-level real-time compensation of the plug-in gap; the memory alloy sleeve of the vertical socket connection assembly activates the shape memory effect through a preset temperature adjustment module to achieve adaptive adjustment of the socket angle; according to the feedback data of the wireless stress sensor, a gradient loading algorithm is used to apply a preload force on the connection node until the measured stress value reaches the 95%-105% range of the preset threshold of the BIM model.

[0080] The embodiments mainly involve the application of automated lifting equipment, laser positioning reflective sheets and adjustment mechanisms of modular connection structures, and achieve precise installation of curtain wall unit modules through dynamic deviation correction and real-time compensation technology.

[0081] The curtain wall unit module is positioned to the preset coordinates corresponding to the module installation information through the preset automated lifting equipment. The lifting equipment adopts a high-precision servo control system to ensure the positioning accuracy of the module at the millimeter level. The curtain wall unit module is dynamically corrected using a laser positioning reflector to ensure that the actual installation position of the module is consistent with the preset coordinates of the BIM model. The multi-angle scanning and coordinate conversion algorithm of the laser positioning reflector realizes real-time monitoring and error compensation of the module posture.

[0082] The slope surface of the convex guide rail is driven by a servo motor to achieve millimeter-level real-time compensation of the insertion gap. The servo motor automatically adjusts the angle of the slope surface according to the posture correction amount to ensure the horizontal insertion accuracy of the module.

[0083] The shape memory effect of the memory alloy sleeve is activated by the preset temperature adjustment module to achieve adaptive adjustment of the socket angle. The temperature adjustment module automatically adjusts the deformation of the memory alloy sleeve according to the preset parameters of the BIM model and the real-time temperature data to ensure the vertical socket accuracy of the module. According to the feedback data of the wireless stress sensor, the gradient loading algorithm is used to apply the preload force of the connection node. The loading process continues until the measured stress value reaches the 95%-105% range of the preset threshold of the BIM model to ensure the uniform distribution of the preload force between modules. The module installation information and stress monitoring data are recorded in the BIM model to form a dynamic database of the construction process. Construction personnel can view the installation error and stress status in real time through mobile devices to ensure the construction quality.

[0084] The embodiment realizes the precise installation and dynamic adjustment of the curtain wall unit module through the application of automated lifting equipment, laser positioning reflective sheets and modular connection structure adjustment mechanisms. The dynamic correction function of the automated lifting equipment and laser positioning reflective sheets ensures that the positioning accuracy of the module is at the millimeter level. The servo motor drive of the convex guide rail and the temperature adjustment function of the memory alloy sleeve realize real-time compensation of the plug-in gap and socket angle. The application of the gradient loading algorithm ensures the uniform distribution of the preload force of the modular connection structure, avoiding stress concentration and material fatigue. The measured stress value is controlled in the range of 95%-105% of the preset threshold of the BIM model, ensuring the stability and safety of the connection node.

[0085] In some embodiments, the embedded connector of the MIC main structure module adopts a multi-degree-of-freedom adjustable anchoring system, which includes: a horizontally arranged elastic support member, which is arranged in the horizontal direction of the MIC main structure module, and the elastic support member is composed of a composite of laminated rubber and disc springs, and the elastic modulus ranges from 5-20GPa; a vertically arranged ball joint connector, with a built-in angle compensation mechanism, and the corresponding deflection compensation is ±5°; an anti-corrosion and conductive dual-functional coating, which covers the surface of the embedded connector, and the coating resistivity is ≤1×10⁻³Ω·m, which is used to establish an electrostatic conduction path between modules.

[0086] The embodiments mainly involve the design of embedded connectors of the MIC main structure module. Through the application of a multi-degree-of-freedom adjustable anchoring system and an anti-corrosion and conductive dual-functional coating, precise installation and long-term stability of the modular connection structure are achieved.

[0087] Through the design of a multi-degree-of-freedom adjustable anchoring system, such as the horizontal elastic support composed of laminated rubber and disc springs, with an elastic modulus range of 5-20GPa, it is used to absorb horizontal vibration and deformation. The elastic support is set in the horizontal direction of the MIC main structure module to ensure the horizontal connection accuracy of the module. The vertical ball joint connector has a built-in angle compensation mechanism with a deflection compensation range of ±5°, which is used to absorb vertical vibration and deformation. The ball joint connector is set in the vertical direction of the MIC main structure module to ensure the vertical connection accuracy of the module. The anti-corrosion and conductive dual-function coating covers the surface of the embedded connector, and the coating resistivity is ≤1×10⁻³Ω·m. The coating is used to establish an electrostatic conduction path between modules to prevent static electricity accumulation and corrosion, and ensure the long-term stability of the modular connection structure. The module installation information and stress monitoring data are recorded in the BIM model to form a dynamic database of the construction process. Construction personnel can view the installation error and stress state in real time through mobile devices to ensure construction quality.

[0088] The application of multi-degree-of-freedom adjustable anchoring system and anti-corrosion and conductive dual-function coatings achieves accurate installation and long-term stability of modular connection structures. The application of horizontal elastic supports and vertical ball joint connectors ensures the horizontal and vertical connection accuracy of modular connection structures. The elastic modulus range of elastic supports and the deflection compensation range of ball joint connectors effectively absorb vibration and deformation during construction and use. The application of anti-corrosion and conductive dual-function coatings prevents corrosion and static electricity accumulation of embedded connectors, ensuring the long-term stability of modular connection structures.

[0089] In some embodiments, a topological interlocking connection structure is adopted between the balcony railing unit and the MIC main structure module, and the topological interlocking connection structure includes: a T-shaped pre-embedded groove, which is arranged at the bottom of the column corresponding to the balcony railing unit, and the inner wall of the T-shaped pre-embedded groove is provided with a self-lubricating polymer material layer; a quick-clamping assembly cooperating with the groove, and the quick-clamping assembly includes a wedge-shaped locking block driven by a memory alloy; a double-layer gradient density foam strip, which is arranged at the sealing interface between the balcony railing unit and the MIC main structure module, the inner layer density of the double-layer gradient density foam strip is 80-100kg / m³, and the outer layer density is 120-150kg / m³, and the double-layer gradient density foam strip forms a continuous isobaric cavity after installation and compression.

[0090] The embodiments mainly relate to the topological interlocking connection structure between the balcony railing unit and the MIC main structure module. Through the design of T-shaped embedded grooves, quick clip-on components and double-layer gradient density foam strips, the rapid installation and sealing performance optimization of the balcony railing unit are achieved. The T-shaped embedded groove is arranged at the bottom of the column corresponding to the balcony railing unit, which is used to cooperate with the quick clip-on component to achieve a topological interlocking connection. The inner wall of the groove is provided with a self-lubricating polymer material layer with a friction coefficient of ≤0.1 to ensure the smoothness and durability of the clip-on process. The quick clip-on component includes a wedge-shaped locking block driven by a memory alloy, which is used to achieve rapid locking and release of the balcony railing unit. The memory alloy material activates the shape memory effect at a preset temperature, driving the wedge-shaped locking block to fit tightly with the T-shaped embedded groove, ensuring the stability and reliability of the connection structure.

[0091] Double-layer gradient density foam strips are set at the sealing interface between the balcony railing unit and the MIC main structure module. The inner layer density is 80-100kg / m³, which is used to absorb vibration and deformation during installation; the outer layer density is 120-150kg / m³, which is used to provide good sealing performance. After installation and compression, the foam strip forms a continuous isobaric cavity to ensure the uniformity and durability of the sealing interface. The installation information and sealing performance data of the balcony railing unit are recorded in the BIM model to form a dynamic database of the construction process. Construction personnel can view the installation error and sealing status in real time through mobile devices to ensure construction quality.

[0092] The embodiment realizes the rapid installation and sealing performance optimization of the balcony railing unit through the application of the topological interlocking connection structure and the double-layer gradient density foam strip. The T-shaped pre-buried channel and the memory alloy-driven quick-clamp assembly simplify the installation process of the balcony railing unit and shorten the construction time. The on-site operation time of the single-layer balcony railing can be reduced to less than 50% of the traditional method.

[0093] The topological interlocking connection structure ensures the stability and reliability between the balcony railing unit and the MIC main structure module. The wedge-shaped locking block driven by the memory alloy activates the shape memory effect at the preset temperature to ensure the long-term stability of the connection structure. The application of double-layer gradient density foam strips ensures the sealing performance between the balcony railing unit and the MIC main structure module. The formation of a continuous isobaric cavity effectively prevents the penetration of water and air, extending the service life of the curtain wall system.

[0094] In some embodiments, after acquiring the modular integrated building curtain wall system, the control module is further used for: after the MIC main structure module is hoisted, acquiring actual installation data corresponding to the modular integrated building curtain wall system through a laser scanner, and performing point cloud comparison between the actual installation data and the BIM model; when it is determined according to the comparison result corresponding to the point cloud comparison that the module joint width error between the MIC main structure module, the curtain wall unit module and the modular connection structure is greater than 2mm / or the angle deviation is greater than 0.5°, generating a model correction instruction, the model correction instruction at least including the thermal expansion coefficient compensation value of the adjacent module connection node, the pre-processing size adjustment amount of the subsequent module to be installed, and the trajectory optimization parameters of the hoisting path; and updating the BIM model according to the model correction instruction.

[0095] The embodiment mainly involves the point cloud comparison between the actual installation data after the MIC main structure module is hoisted and the BIM model. Through the generation of model correction instructions and the update of the BIM model, dynamic compensation and optimization of construction errors are achieved. After the MIC main structure module is hoisted, the actual installation data corresponding to the modular integrated building curtain wall system is obtained through a laser scanner. The actual installation data is compared with the BIM model in point cloud to analyze the joint width error and angle deviation between modules.

[0096] When the width error of the joints between modules is greater than 2mm or the angle deviation is greater than 0.5°, a model correction instruction is generated. The model correction instruction includes: the thermal expansion coefficient compensation value of the connection nodes of adjacent modules is used to compensate for the deformation error caused by temperature change. The pre-processing size adjustment amount of the subsequent modules to be installed is used to optimize the processing accuracy of the modules. The trajectory optimization parameters of the hoisting path are used to improve the accuracy and efficiency of the hoisting process.

[0097] The BIM model is updated according to the model correction instructions to ensure the consistency between the model and the actual installation data. The updated BIM model is used to guide the installation and error compensation of subsequent modules. The actual installation data and model correction instructions are recorded in the BIM model to form a dynamic database of the construction process. Construction personnel can view the installation errors and model correction status in real time through mobile devices to ensure construction quality.

[0098] The embodiment realizes dynamic compensation and optimization of construction errors by comparing the actual installation data with the point cloud of the BIM model and generating model correction instructions. The application of point cloud comparison and model correction instructions ensures dynamic compensation of joint width error and angle deviation between modules. The cumulative error is controlled at the millimeter level, meeting strict acceptance standards. The automatic generation of model correction instructions and the real-time updating of the BIM model simplify the error compensation process during the construction process and shorten the construction time. The on-site operation time of a single-layer curtain wall can be reduced to less than 40% of the traditional method. The real-time point cloud comparison and error compensation functions reduce the safety risks caused by error accumulation during the construction process. Especially in the construction of high-rise buildings and complex curved curtain walls, the construction safety is significantly improved.

[0099] In some embodiments, by installing high-resolution cameras at the construction site, the installation process and status of the modular connection structure are captured in real time. The image is analyzed by a deep learning algorithm (such as a convolutional neural network CNN) to identify the joint width, angle deviation and stress state of the connection node between modules. Based on historical construction data and real-time image data, an error prediction model (such as an LSTM neural network) is trained to predict the type and degree of possible installation errors. The prediction results are compared with the BIM model to generate preventive correction instructions. According to the prediction results, the lifting path, module processing size and connection node preload are automatically adjusted. The adjusted data is fed back to the BIM model to form a closed-loop optimization.

[0100] Through image recognition and error prediction, potential errors can be discovered and corrected in advance to reduce rework. Manual inspection time can be reduced to improve the level of construction automation. Through prediction and prevention, safety risks caused by error accumulation during construction can be reduced.

[0101] In some embodiments, by establishing an installation environment model of the modular connection structure, the installation process is abstracted into a state-action-reward reinforcement learning framework. Through Q-learning or deep reinforcement learning (such as DQN) algorithm, the intelligent agent is trained to optimize the installation strategy of the modular connection structure. State: including parameters such as module posture, connection node stress, ambient temperature, etc. Action: including adjusting the lifting path, modifying the module processing size, optimizing the preload gradient, etc. Reward: based on a comprehensive evaluation of installation accuracy, construction efficiency and safety. The intelligent agent selects the optimal action according to the current state and adjusts the construction parameters in real time. The optimization results are recorded in the BIM model to guide subsequent construction.

[0102] According to real-time environmental changes, the construction strategy is dynamically adjusted to ensure installation accuracy and efficiency. By continuously accumulating experience, the intelligent agent gradually optimizes the construction strategy and improves the intelligence level of the system. It reduces dependence on manual experience and improves the degree of construction automation.

[0103] For example, reinforcement learning usually consists of the following elements: state, action, reward, policy, and value function. The following are the specific formulas and parameter definitions:

[0104] State: The state St represents the environmental state of the system at time step t, and includes at least the following parameters: St={s1,s2,s3, s4, s5};

[0105] The meaning and value range of each parameter are shown in the following table:

[0106] parameter symbol definition Value range Module pose error s1 Deviation between the actual pose of the module and the preset pose of the BIM model [−10 mm,10 mm] Connection node stress s2 Axial stress value of the connection node [0 MPa,200 MPa] Ambient temperature s3 Temperature at the construction site [-20℃, 50℃] Width of joints between modules s4 Actual width of the joints between modules [0 mm,5 mm] Angular deviation between modules s5 Deviation between the actual angle and the preset angle between modules [−2°,2°]

[0107] Action: Action At represents the action taken by the agent at time step t, including the following parameters: At={a1,a2,a3,a4};

[0108] The meaning and value range of each parameter are shown in the following table:

[0109] parameter symbol definition Value range Adjustment of lifting path a1 Horizontal and vertical adjustment of the lifting path [−5 mm,5 mm] Module processing size adjustment a2 Adjustment amount of module processing size [−3 mm,3 mm] Preload gradient a3 Adjustment gradient of connection node preload [0.1 MPa,1.0 MPa] Memory alloy casing temperature regulation a4 Temperature adjustment of memory alloy sleeve [20℃, 100℃]

[0110] Reward: Reward Rt represents the feedback obtained after the agent takes an action at time step t, which is used to evaluate the effect of the action. The reward function is designed as follows:

[0111] Rt=0.5⋅r1+0.3⋅r2+0.2⋅r3;

[0112] r1, r2 and r3 are the installation accuracy reward (reward for module pose error and seam width), stress uniformity reward (reward for stress uniformity of connection nodes) and construction efficiency reward (reward for construction time saving), respectively.

[0113] The expression corresponding to r1 is r1=1−(|s1|+|s4|) / 10. The meaning and value range of s1 and s4 are shown in the table above.

[0114] The expression corresponding to r2 is r2=1−Var(s2) / 50, which is calculated by the variance corresponding to the axial stress value of the connecting node.

[0115] The expression corresponding to r3 is r3=(Tmax−Tactual) / Tmax, where Tmax represents the maximum allowable construction time (unit: hours) and represents the maximum time limit for the installation of a single-layer curtain wall. Tactual represents the actual construction time (unit: hours).

[0116] Policy represents the probability distribution of selecting action a in state s. Deep Q network (DQN) is used for policy optimization, and the objective function is:

[0117] ; It is the state-action value function, which represents the probability distribution of selecting action a in state s. is a discount factor used to balance the importance of current rewards and future rewards. The value range is [0,1], and 0.9 is preferred in this application. Indicates the next state The following possible actions can be taken.

[0118] In some embodiments, a digital twin model of a modular integrated building curtain wall system is constructed based on the BIM model and real-time construction data. The digital twin model includes dynamic data such as module posture, connection node stress, and environmental parameters. Construction data is collected in real time through IoT sensors (such as wireless stress sensors and temperature sensors) and synchronized to the digital twin model. The construction process is simulated in the digital twin model to predict possible errors and risks. Based on the simulation results, optimization instructions are generated (such as adjusting the hoisting path and modifying the module processing size). The optimization instructions are fed back to the construction site to form a closed-loop control.

[0119] Through the digital twin model, the entire construction process can be monitored in real time to improve the transparency and controllability of construction. Potential errors can be discovered and corrected in advance to optimize construction strategies. Scientific decisions can be made based on real-time data to improve construction quality and efficiency.

[0120] In some embodiments, the installation sequence and path of the modular connection structure are optimized by using an ant colony algorithm or a particle swarm optimization algorithm. The installation process of the modular connection structure is abstracted into a multi-objective optimization problem, and the objectives include installation accuracy, construction efficiency, and safety. Based on the swarm intelligence algorithm, the optimal installation sequence and path are generated to ensure that the joint width and angle deviation between modules are minimized. Through wireless communication technology, the collaborative operation of multiple lifting equipment is realized. According to real-time construction data, the installation sequence and path are dynamically adjusted. The adjustment results are recorded in the BIM model to guide subsequent construction.

[0121] Improve construction efficiency through the collaborative operation of multiple lifting equipment. Generate the global optimal installation strategy based on swarm intelligence algorithm to ensure construction accuracy and safety. Dynamically adjust the construction strategy according to real-time environmental changes to improve system adaptability.

[0122] In some embodiments, key data in the construction process (such as module posture, connection node stress, and environmental parameters) are recorded in the blockchain to ensure the immutability and traceability of the data. Each construction node (such as module installation, connection node preload force application) generates a block to record relevant data and operator information. Based on smart contracts, the construction process (such as module lifting and error compensation) is automatically executed. When errors or risks are detected, the smart contract automatically triggers correction instructions. Through blockchain technology, data traceability and auditing of the entire construction process are achieved to ensure construction quality and safety. Construction personnel and managers can view construction data and operation records through the blockchain platform.

[0123] Through blockchain technology, the immutability and traceability of construction data are ensured. Based on smart contracts, the construction process is automatically executed to improve construction efficiency. Through the blockchain platform, data transparency management of the entire construction process is achieved, which facilitates quality management and problem tracing.

[0124] Please refer to Figure 4 An embodiment of the present application provides an installation method of a modular integrated building curtain wall system. The execution device of the method is a control module of the modular integrated building curtain wall system provided in any embodiment of the present application.

[0125] The provided method includes steps S101 to S104, wherein the control module may be a handheld terminal, a notebook computer, a wearable device or a robot, etc. The method is used to implement steps S101 to S104 and their corresponding embodiments.

[0126] Step S101. Acquire the real-time position data corresponding to the curtain wall unit module through the preset laser positioning reflector.

[0127] Specifically, laser positioning reflectors are installed at key locations (such as the four corners and the center point) of the curtain wall unit module to reflect laser signals. The arrangement of the reflectors meets the preset posture requirements of the BIM model to ensure the comprehensiveness and accuracy of data collection. A high-precision laser scanner is used to emit a laser beam, which is irradiated onto the reflector to obtain the reflected signal. The spatial coordinates and posture data (including position and angle) of the reflector are calculated through the built-in algorithm of the laser scanner. The raw data collected by the laser scanner is converted into real-time posture data of the curtain wall unit module, including: Position data includes the three-dimensional coordinates (X, Y, Z) of the center point of the module. Angle data includes the pitch angle (Pitch), yaw angle (Yaw) and roll angle (Roll) of the module.

[0128] Step S102: Perform Kalman filtering fusion based on the preset parameters of the BIM model and the preset measured data of the wireless stress sensor to generate a posture correction value.

[0129] Specifically, the preset posture parameters of the curtain wall unit module, including theoretical position, angle and stress distribution, are stored in the BIM model. The preset parameters serve as the "prediction value" of the Kalman filter. Wireless stress sensors are installed at the connection nodes of the curtain wall unit module to measure the axial stress and shear stress in real time. The measured data serves as the "observation value" of the Kalman filter. The Kalman filter algorithm fuses the preset parameters of the BIM model with the measured data of the wireless stress sensor to generate the optimal posture correction. Through Kalman filtering, the preset parameters of the BIM model are fused with the measured data, which improves the accuracy of the posture correction.

[0130] Step S103: Generate the MIC main structure module, curtain wall unit module and corresponding module installation information according to the real-time posture data and posture correction amount.

[0131] Specifically, the real-time posture data obtained in step S101 is integrated with the posture correction amount generated in step S102 to generate corrected posture data. The corrected posture data includes the actual position and angle of the module. Based on the corrected posture data, the installation information of the MIC main structure module, curtain wall unit module and modular connection structure is generated, including: Lifting path: the lifting trajectory and adjustment amount of the module. Preload force parameter: the preload force application gradient of the connection node. Processing size adjustment amount: the adjustment amount of the module processing size. The corrected posture data and installation information are updated to the BIM model to ensure that the model is consistent with the actual construction status.

[0132] Step S104: Complete the installation of the MIC main structure module, the curtain wall unit module and the modular connection structure according to the module installation information to obtain the modular integrated building curtain wall system.

[0133] Specifically, according to the installation information generated in step S103, the installation of the MIC main structure module, the curtain wall unit module and the modular connection structure is completed in sequence. During the installation process, the posture data and stress distribution are monitored in real time to ensure the installation accuracy and safety. After the installation is completed, the system is comprehensively inspected by laser scanners and wireless stress sensors to verify the installation quality. The inspection data is compared with the BIM model to ensure that the system meets the design requirements. The key data (such as posture data and stress data) in the installation process are recorded in the BIM model to form a construction process database. Based on data analysis, the subsequent construction process is optimized. The system installation quality is ensured through accurate installation information and real-time monitoring. Optimize the installation process, shorten the construction time, and improve the construction efficiency. Through data recording and analysis, a scientific basis is provided for subsequent construction to support continuous improvement.

[0134] It should be noted that technical personnel in the relevant field can clearly understand that for the convenience and conciseness of description, the installation method of the modular integrated building curtain wall system described above and the specific working process of each step can refer to the corresponding process in a modular integrated building curtain wall system embodiment described in the above embodiments, and will not be repeated here.

[0135] The embodiments of the present application also provide an installation device for a modular integrated building curtain wall system. The installation device for the modular integrated building curtain wall system is used to execute the steps of a method for installing a modular integrated building curtain wall system shown in the above embodiments. The installation device for the modular integrated building curtain wall system can be a single server or a server cluster, or the installation device for the modular integrated building curtain wall system can be a terminal, which can be a handheld terminal, a laptop computer, a wearable device, a robot, etc.

[0136] The installation device of the modular integrated building curtain wall system includes:

[0137] A data acquisition unit, used to acquire real-time posture data corresponding to the curtain wall unit module through a preset laser positioning reflector;

[0138] A posture correction unit, which is used to generate posture correction values ​​by performing Kalman filtering fusion based on preset parameters of the BIM model and preset measured data of wireless stress sensors;

[0139] An information generating unit, used for generating the MIC main structure module, the curtain wall unit module and corresponding module installation information according to the real-time posture data and the posture correction amount;

[0140] The installation completion unit is used to complete the installation of the MIC main structure module, the curtain wall unit module and the modular connection structure according to the module installation information, and obtain the modular integrated building curtain wall system.

[0141] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the installation device of the modular integrated building curtain wall system and the specific working process of each unit described above can refer to the corresponding process in the installation method embodiment of a modular integrated building curtain wall system described in the above embodiments, and will not be repeated here.

[0142] The installation method of the modular integrated building curtain wall system is implemented in the form of a computer program, which can be run on the above modules.

[0143] See also Figure 5 , Figure 5 : is a schematic block diagram of the structure of a control module provided in an embodiment of the present application. The control module includes a processor, a memory and a network interface connected via a device bus, wherein the memory may include a storage medium and an internal memory.

[0144] The storage medium can store an operating device and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any embodiment of the installation method of the modular integrated building curtain wall system.

[0145] The processor is used to provide computing and control capabilities and support the operation of the entire control module.

[0146] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any installation method of the modular integrated building curtain wall system.

[0147] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will appreciate that Figure 5 The structure shown in the figure is only a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the terminal to which the scheme of the present application is applied. The specific control module may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0148] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be 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. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0149] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0150] The real-time position data corresponding to the curtain wall unit module is obtained through the preset laser positioning reflector;

[0151] Kalman filter fusion is performed based on the preset parameters of the BIM model and the preset measured data of the wireless stress sensor to generate posture corrections;

[0152] Generate the MIC main structure module, curtain wall unit module and corresponding module installation information according to the real-time posture data and posture correction amount;

[0153] The installation of the MIC main structure module, the curtain wall unit module and the modular connection structure is completed according to the module installation information to obtain the modular integrated building curtain wall system.

[0154] It should be noted that technicians in the relevant field can clearly understand that for the convenience and brevity of description, the specific working process of the processor described above can refer to the corresponding process in the method embodiments described in the above embodiments, and will not be repeated here.

[0155] A computer-readable storage medium is also provided in an embodiment of the present application, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement the steps of a method for installing a modular integrated building curtain wall system provided in the above-mentioned embodiments of the present application.

[0156] The computer-readable storage medium may be an internal storage unit of the control module described in the above embodiment, such as a hard disk or memory of the control module. The computer-readable storage medium may also be an external storage device of the control module, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the control module.

[0157] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A modular integrated building curtain wall system, characterized in that: include: MIC main structure module, including building load-bearing structure and embedded connectors; The curtain wall unit module includes an integrated glass curtain wall unit, an aluminum plate curtain wall unit, a balcony railing unit and an aluminum plate ceiling unit at the bottom of the balcony; A modular connection structure, comprising a horizontal plug-in connection component and a vertical socket connection component, wherein the plug-in connection component is provided with a deformation compensation gap pre-calculated according to a BIM model corresponding to a modular integrated building curtain wall system, and further comprises a convex guide rail with a slope guide surface and a concave slide groove; the socket connection component is provided with a temperature deformation self-adaptive adjustment mechanism, wherein the adjustment mechanism comprises a socket structure with a memory alloy sleeve; The BIM intelligent integration interface includes a control module, which is used to obtain the real-time posture data corresponding to the curtain wall unit module through a preset laser positioning reflector; perform Kalman filtering fusion based on the preset parameters of the BIM model and the preset wireless stress sensor measured data to generate a posture correction; generate the MIC main structure module, curtain wall unit module and corresponding module installation information according to the real-time posture data and the posture correction, and complete the installation of the MIC main structure module, curtain wall unit module and modular connection structure according to the module installation information to obtain the modular integrated building curtain wall system.

2. The system according to claim 1, characterized in that The laser positioning reflective sheet is arranged at the four corners of the curtain wall unit module and at the docking boundary of the modular connection structure, and the surface of the laser positioning reflective sheet is provided with a unique coding mark based on the coordinate system corresponding to the BIM model; the real-time posture data corresponding to the curtain wall unit module is obtained by the preset laser positioning reflective sheet, including: Scan the laser positioning reflective sheet at multiple angles using a preset laser scanner to obtain the three-dimensional coordinates and coding marks corresponding to the laser positioning reflective sheet; Matching the corresponding preset coordinates in the BIM model according to the coding identifier, and calculating the actual installation position, horizontal inclination angle and vertical deflection angle corresponding to the curtain wall unit module through a coordinate conversion algorithm; Real-time position and posture data including three-dimensional displacement and attitude angle are generated according to the actual installation position, horizontal tilt angle and vertical deflection angle.

3. The system according to claim 1, characterized in that The wireless stress sensor is embedded in the contact surface between the convex guide rail and the concave slide groove of the horizontal plug-in connection component, and the contact surface between the memory alloy sleeve and the socket interface of the vertical socket connection component; the preset parameters based on the BIM model and the preset measured data of the wireless stress sensor are fused by Kalman filtering to generate a posture correction value, including: Using the preset parameters of the BIM model as the state equation and the measured data as the observation equation; Establishing an adaptive filtering model according to the state equation and the observation equation; Generate a process noise covariance matrix according to the deformation characteristics of the memory alloy sleeve, and dynamically adjust the observation noise weight corresponding to the covariance matrix according to the sampling frequency of the wireless stress sensor; The posture correction value under the minimum variance is generated by iterative calculation based on the adaptive filtering model and the covariance matrix; the posture correction value includes a horizontal plug-in gap compensation value, a vertical socket angle compensation value and an inter-module preload threshold.

4. The system according to claim 1, characterized in that The generating of the MIC main structure module, the curtain wall unit module and the corresponding module installation information according to the real-time posture data and the posture correction amount includes: Perform spatial topological matching between real-time posture data and preset parameters of the BIM model to obtain the type of docking error between modules; An error compensation matrix is ​​established according to the posture correction amount, and the module installation information is generated according to the error compensation matrix; the module installation information at least includes a slope adjustment instruction of a horizontal plug-in guide surface, a pre-compression control instruction of a memory alloy sleeve of a vertical socket structure, and a fastening sequence optimization instruction of a modular connection structure, and the fastening sequence optimization instruction is used to dynamically adjust the bolt pre-tightening force application gradient of the modular connection structure according to feedback data from a wireless stress sensor.

5. The system according to claim 4, characterized in that The method of dynamically adjusting the bolt preload gradient of the modular connection structure according to feedback data of the wireless stress sensor includes: A three-axis wireless stress sensor is provided at the bolt connection node of the modular connection structure to monitor the bolt axial stress, shear stress and torque data corresponding to the bolt connection node in real time; Generate a preload gradient model, and set the initial preload corresponding to the preload gradient model to 70%-80% of the preset value of the BIM model; Dynamically adjusting the preload force gradient corresponding to the preload force gradient model according to the stress distribution uniformity index corresponding to the feedback data; When the stress difference between adjacent bolt nodes of the modular connection structure is monitored to exceed the threshold, the gradient compensation algorithm is triggered, and the low stress nodes are preferentially loaded step by step at a gradient of 5%-10% until the stress values ​​of all nodes reach the ±3% error band of the preset threshold.

6. The system according to claim 1, characterized in that The installation of the MIC main structure module, the curtain wall unit module and the modular connection structure is completed according to the module installation information, including: The curtain wall unit module is positioned to the preset coordinates corresponding to the module installation information by using a preset automatic lifting device, and dynamic deviation correction is performed by using a laser positioning reflector; The adjustment mechanism of the modular connection structure is controlled according to the posture correction amount; wherein the slope surface of the convex guide rail is driven by a servo motor to achieve millimeter-level real-time compensation of the plug-in gap; the memory alloy sleeve of the vertical socket-type connection component activates the shape memory effect through a preset temperature adjustment module to achieve adaptive adjustment of the socket angle; According to the feedback data of the wireless stress sensor, a gradient loading algorithm is used to apply the preload force of the connection node until the measured stress value reaches the range of 95%-105% of the preset threshold of the BIM model.

7. The system according to claim 1, characterized in that The embedded connector of the MIC main structure module adopts a multi-degree-of-freedom adjustable anchoring system, and the multi-degree-of-freedom adjustable anchoring system includes: A horizontally arranged elastic support member, the elastic support member is arranged in the horizontal direction of the MIC main structure module, the elastic support member is composed of a laminated rubber and a disc spring, and the elastic modulus ranges from 5 to 20 GPa; The vertically arranged ball joint connector has a built-in angle compensation mechanism, and the corresponding deflection compensation is ±5°; The anti-corrosion and conductive dual-function coating is covered on the surface of the embedded connector, and the coating resistivity is ≤1×10⁻³Ω·m, and is used to establish an electrostatic conduction path between modules.

8. The system according to claim 1, characterized in that A topological interlocking connection structure is adopted between the balcony railing unit and the MIC main structure module, and the topological interlocking connection structure includes: A T-shaped pre-buried groove, the T-shaped pre-buried groove is arranged at the bottom of the column corresponding to the balcony railing unit, and the inner wall of the T-shaped pre-buried groove is provided with a self-lubricating polymer material layer; A quick-clamp assembly matched with the channel, the quick-clamp assembly comprising a wedge-shaped locking block driven by a memory alloy; A double-layer gradient density foam strip is arranged at the sealing interface between the balcony railing unit and the MIC main structure module. The inner layer density of the double-layer gradient density foam strip is 80-100kg / m³, and the outer layer density is 120-150kg / m³. The double-layer gradient density foam strip forms a continuous isobaric cavity after installation and compression.

9. The system according to claim 1, characterized in that After acquiring the modular integrated building curtain wall system, the control module is further used to: After the MIC main structure module is hoisted, actual installation data corresponding to the modular integrated building curtain wall system is obtained by a laser scanner, and point cloud comparison is performed between the actual installation data and the BIM model; When it is determined according to the comparison result corresponding to the point cloud comparison that the module joint width error between the MIC main structure module, the curtain wall unit module and the modular connection structure is greater than 2 mm / or the angle deviation is greater than 0.5°, a model correction instruction is generated, and the model correction instruction at least includes a thermal expansion coefficient compensation value of the adjacent module connection node, a pre-processing size adjustment amount of the subsequent module to be installed, and a trajectory optimization parameter of the hoisting path; The BIM model is updated according to the model modification instruction.

10. A method for installing a modular integrated building curtain wall system, characterized in that: A control module applied to the modular integrated building curtain wall system according to any one of claims 1 to 9, the method comprising: The real-time position data corresponding to the curtain wall unit module is obtained through the preset laser positioning reflector; Kalman filter fusion is performed based on the preset parameters of the BIM model and the preset measured data of the wireless stress sensor to generate posture corrections; Generate the MIC main structure module, curtain wall unit module and corresponding module installation information according to the real-time posture data and posture correction amount; The installation of the MIC main structure module, the curtain wall unit module and the modular connection structure is completed according to the module installation information to obtain the modular integrated building curtain wall system.

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