A modular integrated building curtain wall system and its installation method

Abstract

This application relates to the field of integrated manufacturing systems, and discloses a modular integrated building curtain wall system and its installation method. The system includes a MIC main structure module; a curtain wall unit module; a modular connection structure, including a plug-in connection component that is horizontal and provided with a deformation compensation gap and a socket connection component that is vertical; the socket connection component is provided with an adjustment mechanism that is self-adaptive to temperature deformation, and the adjustment mechanism includes a socket structure with a shape memory alloy sleeve; a BIM intelligent integration interface, including a control module, which is used to obtain the real-time pose data corresponding to the curtain wall unit module through preset laser positioning reflectors; perform Kalman filter fusion on the preset parameters based on the BIM model and the measured data of the preset wireless stress sensors to generate a pose correction amount; generate MIC main structure modules, curtain wall unit modules and corresponding module installation information according to the real-time pose data and the pose correction amount. It provides a more efficient, accurate and economical technical solution for the production of building curtain walls.

Description

Technical Field

[0001] This application relates to the field of integrated manufacturing systems, and particularly 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 technologies have long faced the industry pain point of being difficult to balance efficiency and performance. The existing framed curtain wall system relies on on-site welding of the keel structure and layer-by-layer installation of the panels, and the complexity of its processes and the construction period increase exponentially. Statistical data shows that the on-site operation time of a single-layer curtain wall accounts for more than 35% of the total construction period. More seriously, the installation process dominated by manual labor results in a relatively high cumulative error for a single layer, and the overall offset of high-rise buildings often exceeds the acceptance standard value. Although the unitized curtain wall improves part of the construction efficiency through factory prefabrication, its standardized unit modules are difficult to meet the customized requirements of curved and irregular buildings. The single rubber strip sealing solution adopted in the prior art is prone to stress concentration under the action of temperature deformation, resulting in an excessively high leakage incidence 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 adjustability in three dimensions, unable to absorb the inherent assembly cumulative error of modular buildings; 2. The performance construction layers (waterproofing / thermal insulation / sound insulation) are constructed layer by layer on site, and the cross-contamination of processes leads to a high performance attenuation rate; 3. The application of BIM technology stays at the stage of static model guidance and fails to achieve dynamic error compensation and intelligent decision-making during the construction process. Especially when encountering complex curved curtain walls, the material waste rate of existing modular solutions is too high, seriously restricting 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 an installation method thereof, aiming to solve the three core defects existing in the current technology: 1. The structural connection system is too rigid and lacks adjustability in three dimensions, unable to absorb the inherent assembly cumulative error of modular buildings; 2. The performance construction layers (waterproofing / thermal insulation / sound insulation) are constructed layer by layer on site, and the cross-contamination of processes leads to a high performance attenuation rate; 3. The application of BIM technology stays at the stage of static model guidance and fails to achieve dynamic error compensation and intelligent decision-making during the construction process. Especially when encountering complex curved curtain walls, the material waste rate of existing modular solutions is too high, seriously restricting the development of green buildings.

[0006] In a first aspect, this application provides a modular integrated building curtain wall system, including:

[0007] The MIC main structure module includes a 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 a balcony bottom aluminum plate ceiling unit;

[0009] The modular connection structure includes 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 and a concave chute with a slope guide surface; the socket connection component is provided with a temperature deformation adaptive adjustment mechanism, and the adjustment mechanism includes a socket structure with a shape memory alloy sleeve;

[0010] The BIM intelligent integration interface includes a control module for obtaining the real-time pose data corresponding to the curtain wall unit module through preset laser positioning reflectors; performing Kalman filter fusion on the preset parameters of the BIM model and the measured data of the preset wireless stress sensors to generate a pose correction amount; generating the MIC main structure module, the curtain wall unit module, and the corresponding module installation information according to the real-time pose data and the pose correction amount, for completing 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 obtaining the modular integrated building curtain wall system.

[0011] In some embodiments, the laser positioning reflectors are arranged at the four corners of the curtain wall unit module and the docking boundaries of the modular connection structure, and the surface of the laser positioning reflectors is provided with a unique coding identifier based on the coordinate system of the BIM model; the obtaining of the real-time pose data corresponding to the curtain wall unit module through the preset laser positioning reflectors includes: performing multi-angle scanning on the laser positioning reflectors by a preset laser scanner to obtain the three-dimensional coordinates and coding identifiers corresponding to the laser positioning reflectors; matching the preset coordinates corresponding to the BIM model according to the coding identifiers, and calculating the actual installation position, horizontal tilt angle, and vertical deflection angle of the curtain wall unit module through a coordinate transformation algorithm; generating real-time pose data including three-dimensional displacement and attitude angle according to the actual installation position, horizontal tilt 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 chute of the horizontally pluggable connection component, and the contact surface between the shape memory alloy sleeve and the socket interface of the vertically socketed connection component; the preset parameters of the BIM model and the measured data of the preset wireless stress sensor are subjected to Kalman filter fusion to generate a pose correction amount, 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; generating a process noise covariance matrix according to the deformation characteristics of the shape 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 according to the adaptive filtering model and the covariance matrix to generate a pose correction amount under the minimum variance; the pose correction amount includes a horizontal plugging gap compensation value, a vertical socketing angle compensation value, and an inter-module pre-tightening force threshold.

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

[0014] Exemplarily, dynamically adjusting the bolt pre-tightening force application 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 pre-tightening force gradient model, and setting the initial pre-tightening force corresponding to the pre-tightening force gradient model to 70%-80% of the preset value of the BIM model; dynamically adjusting the pre-tightening force application gradient corresponding to the pre-tightening force gradient model according to the stress distribution uniformity index corresponding to the feedback data; when it is monitored that the stress difference between the corresponding adjacent bolt nodes of the modular connection structure exceeds the threshold, triggering a gradient compensation algorithm, and 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 ±3% error band of the preset threshold.

[0015] In some embodiments, the installation of the MIC main structure module, curtain wall unit module, and modular connection structure according to the module installation information includes: positioning the curtain wall unit module to the preset coordinates corresponding to the module installation information through a preset automated hoisting device, and dynamically correcting the deviation through a laser positioning reflector; controlling the adjustment mechanism of the modular connection structure according to the pose 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 insertion gap; the shape memory effect of the memory alloy sleeve of the vertical socket connection component is activated 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 pre-tightening force of the connection node until the measured stress value reaches the range of 95%-105% of the preset threshold of the BIM model.

[0016] In some embodiments, the embedded connecting piece 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: an elastic support member arranged horizontally, the elastic support member is arranged horizontally on the MIC main structure module, and the elastic support member is composed of a laminated rubber and a disc spring in combination, and the elastic modulus ranges from 5 to 20 GPa; a spherical hinge connector arranged vertically, with an internal angle compensation mechanism, and the corresponding deflection compensation is ±5°; an anti-corrosion and conductive dual-functional coating, and the anti-corrosion and conductive dual-functional coating covers the surface of the embedded connecting piece, and the coating resistivity ≤ 1×10⁻³ Ω·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 embedded channel, the T-shaped embedded channel is arranged at the bottom of the corresponding column of the balcony railing unit, and the inner wall of the T-shaped embedded channel is provided with a self-lubricating polymer material layer; a quick clamping component matched with the channel, and the quick clamping component includes a wedge-shaped locking block driven by a memory alloy; a double-layer gradient density foaming rubber strip, which is arranged at the sealing interface between the balcony railing unit and the MIC main structure module, and the inner layer density of the double-layer gradient density foaming rubber strip is 80-100 kg / m³, and the outer layer density is 120-150 kg / m³, and the double-layer gradient density foaming rubber strip forms a continuous isobaric cavity after installation compression.

[0018] In some embodiments, after obtaining the modular integrated building curtain wall system, the control module is further configured to: after the hoisting of the MIC main structure module is completed, obtain the actual installation data corresponding to the modular integrated building curtain wall system through a laser scanner, and perform 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 seam width error between modules corresponding to the MIC main structure module, the curtain wall unit module and the modular connection structure > 2 mm / or the angle deviation > 0.5°, generate a model correction instruction, where the model correction instruction at least includes the thermal expansion coefficient compensation value of the adjacent module connection nodes, the pre - processing size adjustment amount of the subsequent modules to be installed, and the trajectory optimization parameters of the hoisting path; update the BIM model according to the model correction instruction.

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

[0020] Obtain the real - time pose data corresponding to the curtain wall unit module through a preset laser positioning reflector;

[0021] Based on the preset parameters of the BIM model and the measured data of the preset wireless stress sensor, perform Kalman filter fusion to generate a pose correction amount;

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

[0023] 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.

[0024] The present application provides a modular integrated building curtain wall system and its installation method. The modular structure system of the modular integrated building curtain wall system includes: an MIC main structure module: integrating the building load - bearing structure and embedded connectors, serving as the basic carrier for modular installation. A multi - functional curtain wall unit module: pre - fabricating and integrating glass curtain walls, aluminum plate curtain walls, balcony railings and ceiling units in the factory, reducing on - site sub - item construction.

[0025] The adaptive connection structure includes: a plug - in horizontal connection component: through the cooperation of a convex guide rail with a sloped guide surface and a concave chute, combined with the deformation compensation gap pre - calculated by BIM, it realizes three - dimensional flexible adjustment and absorbs the cumulative assembly error. A socket - type vertical connection component: adopting a temperature deformation adaptive mechanism of a shape - memory alloy sleeve to dynamically compensate for thermal expansion and contraction deformation and avoid stress concentration in rigid connections.

[0026] The BIM intelligent integration interface monitors the pose of the curtain wall in real time through laser positioning reflectors, combines the data of wireless stress sensors with the BIM model parameters, and uses the Kalman filtering algorithm to generate dynamic correction instructions, realizing the intelligent compensation of construction errors and the optimization of decision-making.

[0027] Through the flexible guiding design of the structure and the deformation compensation gap, the cumulative errors of modular assembly can be effectively absorbed, especially suitable for the high-precision fitting of complex curved curtain walls, reducing the material waste rate (meeting the requirements of green buildings). The temperature self-adaptive ability of the shape memory alloy sleeves avoids the risk of structural cracking caused by environmental deformation. The curtain wall unit modules are prefabricated and integrated with functional layers such as waterproofing, heat preservation, and sound insulation in the factory, reducing the cross-contamination of construction processes during on-site layered construction and significantly reducing the performance attenuation rate. The BIM technology is upgraded from a static model to a dynamic regulation tool, realizing the full-cycle error compensation during the construction process through real-time pose data fusion and dynamic correction, shortening the construction period and reducing rework. The modular design reduces the on-site workload, and the BIM optimization of complex curved curtain walls reduces the material loss rate, meeting the development requirements of green buildings. The deep integration of the flexible connection structure, integrated prefabrication of functional layers, and BIM dynamic decision-making systematically solves the problems of error control, performance stability, and construction intelligence of modular curtain walls, promoting the upgrade of prefabricated building technology.

[0028] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit this application. Description of the Drawings

[0029] In order to more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

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

[0031] Figure 2 It is an enlarged schematic view of view A of a modular integrated building curtain wall system provided by an embodiment of this application;

[0032] Figure 3 It is an enlarged schematic view of view B of a modular integrated building curtain wall system provided by an embodiment of this application;

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

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

[0035] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. Detailed implementation manners

[0036] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

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

[0038] It should be understood that, for the convenience of clearly describing the technical solutions in the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the terms "first" and "second" do not limit the quantity and execution order, and the terms "first" and "second" do not necessarily mean different.

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

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

[0041] Next, some implementation manners of the present application will be described in detail in conjunction with the accompanying drawings. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0042] In the field of building curtain walls, traditional construction techniques have long faced the industry pain point of being difficult to balance efficiency and performance. The existing framed curtain wall system relies on on-site welding of the keel structure and layer-by-layer installation of the panels, and the complexity of its processes and the construction period increase exponentially. Statistical data shows that the on-site operation time of a single-layer curtain wall accounts for more than 35% of the total project duration. More seriously, the installation process dominated by manual labor results in a relatively high cumulative error for a single layer, and the overall offset of high-rise buildings often exceeds the acceptance standard value. Although the unitized curtain wall has improved part of the construction efficiency through factory prefabrication, its standardized unit modules are difficult to meet the customization requirements of curved and irregular-shaped buildings. The single rubber strip sealing solution adopted in the existing technology is prone to stress concentration under the action of temperature deformation, resulting in an excessively high leakage incidence 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 adjustability in three-dimensional directions, unable to absorb the inherent assembly cumulative error of modular buildings; 2. The performance construction layers (waterproofing / thermal insulation / sound insulation) adopt on-site layered construction, and the cross-contamination of processes leads to a high performance attenuation rate; 3. The application of BIM technology stays in the stage of static model guidance and fails to achieve dynamic error compensation and intelligent decision-making during the construction process. Especially when encountering complex curved curtain walls, the material waste rate of the existing modular solutions is too high, seriously restricting 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 3, this application provides a modular integrated building curtain wall system, including: an MIC main structure module 10, including a building load-bearing structure and embedded connecting parts; a curtain wall unit module 20, including an integrated glass curtain wall unit, an aluminum plate curtain wall unit, a balcony railing unit, and a balcony bottom aluminum plate ceiling unit; 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 and a concave chute with a slope guiding surface; the socket connection component is provided with an adjustment mechanism for temperature deformation self-adaptation, and the adjustment mechanism includes a socket structure with a shape memory alloy sleeve; a BIM intelligent integration interface (not shown in the figure, and the specific installation position can be set arbitrarily according to actual needs), including a control module, which is used to obtain the real-time pose data corresponding to the curtain wall unit module through a preset laser positioning reflector; perform Kalman filter fusion on the preset parameters based on the BIM model and the measured data of the preset wireless stress sensor to generate a pose correction amount; generate the MIC main structure module, the curtain wall unit module, and the corresponding module installation information according to the real-time pose data and the pose correction amount, and use the module installation information to complete the installation of the MIC main structure module, the curtain wall unit module, and the modular connection structure, so as to obtain the modular integrated building curtain wall system.

[0046] Specifically, this modular integrated building curtain wall system aims to solve the problems existing in traditional curtain wall construction, such as low efficiency, error accumulation, performance attenuation, and material waste. The system realizes the high efficiency, precision, and greenness of curtain wall construction through modular design, intelligent integration interface, and dynamic error compensation technology.

[0047] The MIC main structure module is a part of the building load-bearing structure and contains embedded connecting parts for quick docking with the curtain wall unit module and the modular connection structure. The position and size of the embedded connecting parts are precisely designed according to the BIM model to ensure the matching with the curtain wall unit module.

[0048] The curtain wall unit module includes a glass curtain wall unit, an aluminum plate curtain wall unit, a balcony railing unit, and a balcony bottom aluminum plate ceiling unit, all of which are prefabricated in the factory. Each unit module integrates performance construction layers such as waterproofing, heat insulation, and sound insulation, avoiding the performance attenuation 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 surface and special-shaped buildings.

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

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

[0051] For example, in the design stage, the BIM technology can be used to establish a three-dimensional model of the building curtain wall, and accurately design the dimensions and positions of the MIC main structure module, the curtain wall unit module and the modular connection structure. The deformation amount after module installation is pre-calculated in the BIM model, and the deformation compensation gap and the temperature deformation self-adaptive adjustment mechanism are designed.

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

[0053] In the on-site construction stage, the MIC main structure module is installed to ensure the accurate position of the embedded connecting piece. The BIM intelligent integration interface is used to obtain the pose data of the curtain wall unit module in real time through the laser positioning reflector. According to the pose correction amount generated from the BIM model and the measured data, the precise installation of the curtain wall unit module is guided. The modular connection structure is used to quickly complete the horizontal and vertical connections, ensuring the realization of the deformation compensation and temperature deformation self-adaptive functions. Through the BIM model and the wireless stress sensor data, the installation accuracy and performance indicators of the curtain wall system are verified. The working state of the temperature deformation self-adaptive adjustment mechanism is regularly monitored to ensure the sealing performance during long-term use.

[0054] Through modular design and factory prefabrication, the on-site operation time is significantly 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-and-spigot connection components simplify the installation process and improve the construction speed. The BIM intelligent integration interface and laser positioning technology achieve the precise positioning of curtain wall unit modules, with the cumulative error controlled within the millimeter level, meeting the acceptance standards for high-rise buildings. The deformation compensation gap and temperature deformation adaptive adjustment mechanism effectively absorb the assembly error and temperature deformation, avoiding problems such as leakage and stress concentration. The performance structure layer prefabricated in the factory avoids cross-contamination during on-site construction and ensures the long-term stability of waterproof, thermal insulation, sound insulation and other performances. The five-year leakage incidence rate is reduced to less than 1%, significantly improving the durability of the curtain wall system. The modular design can customize unit modules according to the BIM model to meet the needs of complex curved surfaces and irregular buildings, and the material waste rate is reduced to less than 5%. The concept of green building runs through the entire system design, meeting the requirements of sustainable development. The dynamic application of BIM technology realizes intelligent decision-making and error compensation during the construction process, improving the construction quality and management level. Wireless stress sensors and Kalman filtering algorithms provide data support for the long-term monitoring and maintenance of the curtain wall system.

[0055] In summary, through innovative modular design, intelligent integration interface and dynamic error compensation technology, this modular integrated building curtain wall system effectively solves problems such as low efficiency, error accumulation, performance degradation and material waste in traditional curtain wall construction. Its characteristics of high efficiency, precision and greenness 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 reflectors are arranged at the four corners of the curtain wall unit module and the docking boundaries of the modular connection structure, and the surface of the laser positioning reflectors is provided with a unique coding identifier based on the corresponding coordinate system of the BIM model; the method for obtaining the real-time pose data corresponding to the curtain wall unit module through the preset laser positioning reflectors includes: performing multi-angle scanning on the laser positioning reflectors by a preset laser scanner to obtain the three-dimensional coordinates and coding identifiers corresponding to the laser positioning reflectors; matching the preset coordinates corresponding in the BIM model according to the coding identifiers, and calculating the actual installation position, horizontal tilt angle and vertical deflection angle corresponding to the curtain wall unit module through a coordinate transformation algorithm; generating real-time pose data including three-dimensional displacement and attitude angle according to the actual installation position, horizontal tilt angle and vertical deflection angle.

[0057] The embodiment mainly relates to the setting of the laser positioning reflectors and their application in the installation of curtain wall unit modules. Through the combination of the laser positioning reflectors and the BIM model, the precise positioning of the curtain wall unit modules and the acquisition of real-time pose data are realized.

[0058] Laser positioning reflectors are arranged at the four corners of the curtain wall unit module and at the docking boundaries of the modular connection structure. Each laser positioning reflector has a unique coded identification based on the corresponding coordinate system of the BIM model on its surface, which is used for quick identification and matching during the construction process. A preset laser scanner is used to scan the laser positioning reflectors from multiple angles to obtain the three-dimensional coordinates and coded identification of the reflectors. The scanner uses high-precision laser ranging technology to ensure the accuracy and real-time nature of the coordinate data. According to the coded identification of the laser positioning reflectors, the corresponding preset coordinates in the BIM model are matched. Through coordinate transformation algorithms (such as rotation matrix and translation vector calculations), the three-dimensional coordinates obtained by scanning are converted into the actual installation position, horizontal tilt angle, and vertical deflection angle. Based on the actual installation position, horizontal tilt angle, and vertical deflection angle, real-time pose data including three-dimensional displacement and attitude angle is generated. The pose data is sent to the control module of the BIM intelligent integration interface through wireless transmission to guide the construction workers for precise installation. The real-time pose data is compared with the preset parameters in the BIM model to calculate the installation error. By fusing the measured data of the wireless stress sensors through the Kalman filter algorithm, a pose correction amount is generated. According to the correction amount, the installation position and angle of the curtain wall unit module are adjusted to ensure the installation accuracy. The real-time pose data and correction amount are recorded in the BIM model to form a dynamic database of the construction process. The construction workers can view the installation progress and error conditions in real time through mobile devices to ensure the construction quality.

[0059] The embodiment realizes the precise positioning of the curtain wall unit module and the acquisition of real-time pose data through the combination of laser positioning reflectors and the BIM model. Through the multi-angle scanning of the laser positioning reflectors and coordinate transformation algorithms, the accurate calculation of the actual installation position, horizontal tilt angle, and vertical deflection angle is ensured, and the cumulative error is controlled at the millimeter level. The overall offset of high-rise buildings is significantly reduced, meeting strict acceptance standards. The comparison of the real-time pose data with the preset parameters of the BIM model, combined with the Kalman filter algorithm, realizes the dynamic compensation of installation errors. It effectively solves the problem of error accumulation caused by manual operation in traditional construction. The unique coded identification and automatic matching function of the laser positioning reflectors simplify the positioning and identification processes during construction and shorten 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 pose data and construction progress are dynamically displayed through the BIM model, and the construction workers can view the installation status and error conditions at any time. It improves the visualization and transparency of the construction process, facilitating quality management and problem traceability. 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 reflectors are applicable to the curtain wall construction of complex curved surfaces and irregular buildings.

[0060] In some embodiments, the wireless stress sensor is embedded in the contact surface between the convex guide rail and the concave chute of the horizontal plug-in connection component, and the contact surface between the shape memory alloy sleeve and the socket interface of the vertical socket connection component; the preset parameters of the BIM model and the measured data of the preset wireless stress sensor are subjected to Kalman filter fusion to generate a pose correction amount, 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; generating a process noise covariance matrix according to the deformation characteristics of the shape 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 according to the adaptive filtering model and the covariance matrix to generate a pose correction amount under the minimum variance; the pose correction amount includes a horizontal plugging gap compensation value, a vertical socket angle compensation value, and an inter-module pre-tightening force threshold.

[0061] The embodiments mainly relate to the embedding of the wireless stress sensor and its application in dynamic error compensation. By embedding the wireless stress sensor in the contact surface of the modular connection structure and combining the BIM model and the Kalman filtering algorithm, stress monitoring and pose correction during the installation process of the curtain wall unit module are realized. By embedding the wireless stress sensor in the contact surface between the convex guide rail and the concave chute of the horizontal plug-in connection component, it is used to monitor the contact stress during the plugging process. By embedding the wireless stress sensor in the contact surface between the shape memory alloy sleeve and the socket interface of the vertical socket connection component, it is used to monitor the contact stress and temperature deformation during the socket process.

[0062] Using the preset parameters of the BIM model as the state equation, including the design dimensions, material properties, and installation positions of the modular connection structure. Using the measured data of the wireless stress sensor as the observation equation, including contact stress, temperature deformation, and inter-module pre-tightening force.

[0063] An adaptive filtering model is established according to the state equation and the observation equation to describe the dynamic error during the installation process of the curtain wall unit module. The model takes into account the deformation characteristics of the shape 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] A process noise covariance matrix is generated according to the deformation characteristics of the shape 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 pose correction amount under the minimum variance is iteratively calculated through the Kalman filtering algorithm. The pose correction amount includes: Horizontal plugging gap compensation value: used to adjust the installation gap of the horizontal plug-in connection component to ensure the plugging accuracy. Vertical socketing angle compensation value: used to adjust the installation angle of the vertical socketing connection component to ensure the socketing accuracy. Inter-module pre-tightening force threshold: used to control the pre-tightening force of the modular connection structure to avoid stress concentration and material fatigue.

[0066] According to the pose correction amount, the construction personnel are guided to adjust the installation position and angle of the curtain wall unit module through the BIM intelligent integration interface. The contact stress and temperature deformation of the modular connection structure are monitored in real time to ensure the stability and safety of the installation process. The pose correction amount and stress monitoring data are recorded in the BIM model to form a dynamic database of the construction process. The construction personnel can view the installation error and stress state in real time through the mobile device to ensure the construction quality.

[0067] The embodiment realizes the stress monitoring and dynamic error compensation in the installation process of the curtain wall unit module through the combination of the wireless stress sensor and the Kalman filtering algorithm. The pose correction amount generated by the Kalman filtering algorithm effectively reduces the cumulative error in the installation process and ensures the accurate positioning of the curtain wall unit module. The horizontal plugging gap compensation value and the vertical socketing 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 the stress monitoring and dynamic error compensation in the installation process of the curtain wall unit module through the innovative application of the wireless stress sensor and the Kalman filtering algorithm.

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

[0069] The embodiment mainly relates to the combination of real-time pose data and the BIM model, generates module installation information through spatial topology matching and error compensation matrix, and realizes the accurate installation and dynamic adjustment of the curtain wall unit module.

[0070] By performing spatial topology matching between the real-time pose data and the preset parameters of the BIM model, the docking error types between modules are analyzed. The error types include horizontal insertion gap error, vertical socket angle error, and uneven distribution of pre-tightening force between modules, etc.

[0071] An error compensation matrix is established based on the pose correction amount to describe the error distribution and compensation strategy during the module installation process. The error compensation matrix includes horizontal insertion gap compensation value, vertical socket angle compensation value, and pre-tightening force compensation value between modules.

[0072] Module installation information is generated according to the error compensation matrix, including: slope adjustment instruction for the horizontal insertion guiding surface: used to adjust the slope of the guiding surface of the plug-in connection component to ensure the horizontal insertion accuracy of the module. Memory alloy sleeve pre-compression amount control instruction for 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 pre-tightening force application gradient of the modular connection structure according to the feedback data of the wireless stress sensor to ensure the uniformity of the pre-tightening force distribution between modules.

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

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

[0075] The embodiment realizes the precise installation and dynamic adjustment of the curtain wall unit module through the combination of real-time pose data and the BIM model. By applying spatial topology matching and the error compensation matrix, the installation accuracy of the modular connection structure is ensured, and the cumulative error is controlled within the millimeter level. The slope adjustment of the horizontal insertion guiding surface and the pre-compression amount control of the vertical socket structure significantly improve the installation accuracy of the module. The application of the fastening sequence optimization instruction and the pre-tightening force gradient model ensures the uniformity of the pre-tightening force distribution of the modular connection structure. It avoids stress concentration and material fatigue caused by uneven pre-tightening force and extends the service life of the curtain wall system.

[0076] Exemplarily, dynamically adjusting the bolt pre-tightening force application gradient 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 pre-tightening force gradient model, and setting the initial pre-tightening force corresponding to the pre-tightening force gradient model to 70%-80% of the preset value of the BIM model; dynamically adjusting the pre-tightening force application gradient corresponding to the pre-tightening force gradient model according to the stress distribution uniformity index corresponding to the feedback data; when it is monitored that the stress difference between adjacent bolt nodes corresponding to the modular connection structure exceeds the threshold, triggering a gradient compensation algorithm, and 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 ±3% error band of the preset threshold.

[0077] The example is a specific application scenario of the above embodiment, mainly involving the dynamic adjustment of the bolt pre-tightening force of the modular connection structure. Through the three-axis wireless stress sensor and the pre-tightening force gradient model, the precise control and dynamic optimization of the bolt pre-tightening force are realized. 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 through wireless transmission for generating the pre-tightening force gradient model. The initial pre-tightening force of the pre-tightening force 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 pre-tightening force application gradient corresponding to the pre-tightening force gradient model is dynamically adjusted. According to the stress distribution uniformity index corresponding to the feedback data, the pre-tightening force application gradient corresponding to the pre-tightening force gradient model is dynamically adjusted. When it is monitored that the stress difference between adjacent bolt nodes exceeds the threshold, a 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 within the ±3% error band of the preset threshold. The pre-tightening force gradient model and the stress monitoring data are recorded in the BIM model to form a dynamic database of the construction process. Construction personnel can view the pre-tightening force status and stress distribution in real time through mobile devices to ensure the construction quality.

[0078] The example realizes the precise control and dynamic optimization of the bolt pre-tightening force of the modular connection structure through the combination of the three-axis wireless stress sensor and the pre-tightening force gradient model. The application of the three-axis wireless stress sensor ensures the accurate monitoring of the bolt axial stress, shear stress, and torque data. The application of the pre-tightening force gradient model and the gradient compensation algorithm ensures the precise control of the bolt pre-tightening force, and the cumulative error is controlled within ±3%. Dynamically adjusting the pre-tightening force application gradient ensures the stress distribution uniformity of the modular connection structure. It avoids stress concentration and material fatigue caused by uneven pre-tightening force and extends the service life of the curtain wall system.

[0079] In some embodiments, the installation of the MIC main structure module, the curtain wall unit module, and the modular connection structure according to the module installation information includes: positioning the curtain wall unit module to the preset coordinates corresponding to the module installation information through a preset automated hoisting device, and dynamically correcting the deviation through a laser positioning reflector; controlling the adjustment mechanism of the modular connection structure according to the pose 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 insertion gap; the shape memory alloy sleeve of the vertical socket 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 pre-tightening force of the connection node until the measured stress value reaches the range of 95% - 105% of the preset threshold of the BIM model.

[0080] The embodiments mainly relate to the application of an automated hoisting device, a laser positioning reflector, and the adjustment mechanism of a modular connection structure. Through dynamic deviation correction and real-time compensation technologies, precise installation of the curtain wall unit module is achieved.

[0081] The curtain wall unit module is positioned to the preset coordinates corresponding to the module installation information through a preset automated hoisting device. The hoisting device adopts a high-precision servo control system to ensure that the positioning accuracy of the module is at the millimeter level. A laser positioning reflector is used to dynamically correct the deviation of the curtain wall unit module 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 achieve real-time monitoring and error compensation of the module pose.

[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 pose correction amount to ensure the horizontal insertion accuracy of the module.

[0083] The shape memory alloy sleeve activates the shape memory effect through a preset temperature adjustment module to achieve adaptive adjustment of the socket angle. The temperature adjustment module automatically adjusts the deformation amount of the shape 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, a gradient loading algorithm is used to apply the pre-tightening force of the connection node. The loading process continues until the measured stress value reaches the range of 95% - 105% of the preset threshold of the BIM model to ensure uniform distribution of the pre-tightening force between the 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 a mobile device to ensure the construction quality.

[0084] The embodiments achieve the precise installation and dynamic adjustment of curtain wall unit modules through the application of automated hoisting equipment, laser positioning reflectors, and modular connection structure adjustment mechanisms. The dynamic deviation correction functions of the automated hoisting equipment and laser positioning reflectors ensure that the positioning accuracy of the modules is at the millimeter level. The servo motor drive of the convex guide rail and the temperature adjustment function of the shape memory alloy sleeve achieve real-time compensation for the insertion gap and socket angle. The application of the gradient loading algorithm ensures the uniform distribution of the pre-tightening force of the modular connection structure, avoiding stress concentration and material fatigue. The measured stress value is controlled within the range of 95% - 105% of the preset threshold in the BIM model, ensuring the stability and safety of the connection nodes.

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

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

[0087] Through the design of the multi-degree-of-freedom adjustable anchoring system, for example, the horizontal elastic support member is composed of a laminated rubber and a disc spring in combination, and the elastic modulus ranges from 5 - 20 GPa, which is used to absorb vibrations and deformations in the horizontal direction. The elastic support member is arranged horizontally on the MIC main structure module to ensure the horizontal connection accuracy of the module. The vertical spherical hinge connector is internally provided with an angle compensation mechanism, and the deflection compensation range is ±5°, which is used to absorb vibrations and deformations in the vertical direction. The spherical hinge connector is arranged vertically on the MIC main structure module to ensure the vertical connection accuracy of the module. The anti-corrosion and conductive dual-functional coating covers the surface of the embedded connecting piece, and the coating resistivity ≤ 1×10⁻³ Ω·m. The coating is used to establish an electrostatic conduction path between modules, prevent electrostatic accumulation and corrosion, and ensure the long-term stability of the modular connection structure. 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 errors and stress states in real time through mobile devices to ensure the construction quality.

[0088] Through the application of a multi-degree-of-freedom adjustable anchoring system and an anti-corrosion and conductive dual-functional coating, the precise installation and long-term stability of the modular connection structure are achieved. The application of horizontal elastic support members and vertical spherical hinge connectors ensures the horizontal and vertical connection accuracy of the modular connection structure. The elastic modulus range of the elastic support members and the deflection compensation range of the spherical hinge connectors effectively absorb the vibrations and deformations during construction and use. The application of the anti-corrosion and conductive dual-functional coating prevents the corrosion and static electricity accumulation of the embedded connecting parts, ensuring the long-term stability of the modular connection structure.

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

[0090] The embodiment mainly relates to the topological interlocking connection structure between the balcony railing unit and the MIC main structure module. Through the design of the T-shaped embedded channel, the quick clamping assembly and the double-layer gradient density foam rubber strip, the quick installation and optimization of the sealing performance of the balcony railing unit are realized. The T-shaped embedded channel is arranged at the bottom of the corresponding column of the balcony railing unit and is used to cooperate with the quick clamping assembly to achieve topological interlocking connection. A self-lubricating polymer material layer is provided on the inner wall of the channel, and the friction coefficient ≤ 0.1, ensuring the smoothness and durability of the clamping process. The quick clamping assembly includes a wedge-shaped locking block driven by a shape memory alloy, which is used to realize the quick locking and release of the balcony railing unit. The shape memory alloy material activates the shape memory effect at a preset temperature, driving the wedge-shaped locking block to closely fit with the T-shaped embedded channel, ensuring the stability and reliability of the connection structure.

[0091] The double-layer gradient density foam rubber strip is arranged at the sealing interface between the balcony railing unit and the MIC main structure module. The inner layer density is 80-100 kg / m³, which is used to absorb the vibrations and deformations during installation; the outer layer density is 120-150 kg / m³, which is used to provide good sealing performance. The foam rubber strip forms a continuous isobaric cavity after being compressed during installation, ensuring 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 errors and sealing status in real time through mobile devices to ensure the construction quality.

[0092] Through the application of the topological interlocking connection structure and the double-layer gradient density foaming rubber strip, the rapid installation of the balcony railing unit and the optimization of the sealing performance are achieved. The T-shaped embedded channel and the quick clamping assembly driven by shape memory alloy 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 shape memory alloy activates the shape memory effect at the preset temperature to ensure the long-term stability of the connection structure. The application of the double-layer gradient density foaming rubber strip ensures the sealing performance between the balcony railing unit and the MIC main structure module. The formation of the continuous equal-pressure cavity effectively prevents the penetration of water and air and extends the service life of the curtain wall system.

[0094] In some embodiments, after obtaining the modular integrated building curtain wall system, the control module is further configured to: after the hoisting of the MIC main structure module is completed, obtain the actual installation data corresponding to the modular integrated building curtain wall system through a laser scanner, and perform 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 seam width error between modules corresponding to the MIC main structure module, the curtain wall unit module and the modular connection structure > 2 mm / or the angle deviation > 0.5°, generate a model correction instruction, and the model correction instruction at least includes the thermal expansion coefficient compensation value of the adjacent module connection node, the pre-processing dimension adjustment amount of the subsequent module to be installed, and the trajectory optimization parameter of the hoisting path; update the BIM model according to the model correction instruction.

[0095] The embodiment mainly relates to the point cloud comparison between the actual installation data after the hoisting of the MIC main structure module and the BIM model. Through the generation of the model correction instruction and the update of the BIM model, the dynamic compensation and optimization of the construction error are realized. After the hoisting of the MIC main structure module is completed, 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 terms of point cloud to analyze the seam width error and angle deviation between modules.

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

[0097] Update the BIM model 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 workers can view the installation errors and model correction status in real time through mobile devices to ensure the construction quality.

[0098] The embodiment realizes the dynamic compensation and optimization of construction errors through the point cloud comparison between the actual installation data and the BIM model and the generation of model correction instructions. The application of point cloud comparison and model correction instructions ensures the dynamic compensation of the seam 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 update of the BIM model simplify the error compensation process during construction 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 function reduce the safety risks caused by error accumulation during construction. 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 images are analyzed through deep learning algorithms (such as convolutional neural network CNN) to identify the seam width, angle deviation between modules, and the stress state of connection nodes. Based on historical construction data and real-time image data, an error prediction model (such as LSTM neural network) is trained to predict the types and degrees of possible installation errors. The prediction results are compared with the BIM model to generate preventive correction instructions. According to the prediction results, the hoisting path, module processing dimensions, and pre-tightening force of connection nodes 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 are discovered and corrected in advance, reducing rework. The manual inspection time is reduced, and the construction automation level is improved. Through prediction and prevention, the safety risks caused by error accumulation during construction are reduced.

[0101] In some embodiments, by establishing an installation environment model of a modular connection structure, the installation process is abstracted into a reinforcement learning framework of state-action-reward. Through algorithms such as Q-learning or deep reinforcement learning (such as DQN), an agent is trained to optimize the installation strategy of the modular connection structure. State: includes parameters such as module pose, connection node stress, and environmental temperature. Action: includes adjusting the lifting path, modifying the module processing size, optimizing the pre-tightening force application gradient, etc. Reward: comprehensively evaluated based on installation accuracy, construction efficiency, and safety. The 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 for guiding subsequent construction.

[0102] According to real-time environmental changes, dynamically adjust the construction strategy to ensure installation accuracy and efficiency. By continuously accumulating experience, the agent gradually optimizes the construction strategy and improves the system's intelligence level. Reduce the dependence on manual experience and increase the degree of construction automation.

[0103] Exemplarily, 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, including at least the following parameters: St = {s1, s2, s3, s4, s5};

[0105] Among them, 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 the joint between modules s4 Actual width of the joint between modules [0 mm, 5 mm] Angle deviation between modules s5 Deviation between the actual angle and the preset angle between modules [−2°,2°]

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

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

[0109] Parameter Symbol Definition Value range Adjustment amount of the hoisting path a1 Horizontal and vertical adjustment amounts of the hoisting path [−5 mm, 5 mm] Adjustment amount of the module processing size a2 Adjustment amount of the module processing size [−3 mm, 3 mm] Pre-tightening force application gradient a3 Adjustment gradient of the pre-tightening force of the connection node [0.1 MPa, 1.0 MPa] Temperature adjustment of the shape memory alloy sleeve a4 Temperature adjustment amount of the shape memory alloy sleeve [20℃, 100℃]

[0110] Reward: The reward Rt represents the feedback obtained by the agent after taking an action at time step t, 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 precision rewards (rewards for module pose error and joint width), stress uniformity rewards (rewards for stress uniformity of connection nodes), and construction efficiency rewards (rewards for construction time savings), respectively.

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

[0114] Among them, 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 connection node.

[0115] Among them, the expression corresponding to r3 is r3 = (Tmax−Tactual) / Tmax, where Tmax represents the maximum allowable construction time (unit: hour), indicating the maximum time limit for single-layer curtain wall installation. Tactual represents the actual construction time (unit: hour).

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

[0117] ; is the state-action value function, representing the probability distribution of selecting action a in state s. is the discount factor, which is used to balance the importance of current rewards and future rewards. The value range is [0,1], and this application preferably takes 0.9. represents the possible actions in the next state under.

[0118] In some embodiments, based on the BIM model and real-time construction data, a digital twin model of the modular integrated building curtain wall system is constructed. The digital twin model includes dynamic data such as module pose, connection node stress, and environmental parameters. The construction data is collected in real time through Internet of Things 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 (such as adjusting the hoisting path and modifying the module processing dimensions) are generated. 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 is monitored in real time, improving construction transparency and controllability. Potential errors are discovered and corrected in advance, and the construction strategy is optimized. Scientific decisions are made based on real-time data to improve construction quality and efficiency.

[0120] In some embodiments, by adopting the ant colony algorithm or the particle swarm optimization algorithm, the installation sequence and path of the modular connection structure are optimized. 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 the minimization of the seam width and angle deviation between modules. Through wireless communication technology, the collaborative operation of multiple hoisting devices is realized. According to the real-time construction data, the installation sequence and path are dynamically adjusted. The adjustment results are recorded in the BIM model for guiding subsequent construction.

[0121] Through the collaborative operation of multiple hoisting devices, the construction efficiency is improved. Based on the swarm intelligence algorithm, a globally optimal installation strategy is generated to ensure construction accuracy and safety. According to the real-time environmental changes, the construction strategy is dynamically adjusted to improve the system adaptability.

[0122] In some embodiments, the key data during the construction process (such as module pose, connection node stress, environmental parameters) are recorded in the blockchain to ensure the immutability and traceability of the data. Each construction node (such as module installation, pre-tightening force application of the connection node) generates a block to record the relevant data and operator information. Based on the smart contract, the construction process (such as module hoisting, error compensation) is automatically executed. When an error or risk is detected, the smart contract automatically triggers a correction instruction. Through blockchain technology, the data traceability and audit of the entire construction process are realized to ensure construction quality and safety. Construction personnel and management personnel can view the construction data and operation records through the blockchain platform.

[0123] Through blockchain technology, the immutability and traceability of construction data are ensured. Based on the smart contract, the construction process is automatically executed to improve construction efficiency. Through the blockchain platform, the transparent management of the entire construction process data is realized, which is convenient for quality management and problem tracing.

[0124] Please refer to Figure 4 , an embodiment of the present application provides an installation method for a modular integrated building curtain wall system. The execution device of the method is the 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. Among them, the control module can be a handheld terminal, a laptop, a wearable device, or a robot, etc. It is used to implement steps S101 to S104 and their corresponding embodiments.

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

[0127] Specifically, laser positioning reflectors are installed at key positions (such as the four corners and the center point) of the curtain wall unit module to reflect laser signals. The arrangement of the reflectors conforms to the preset pose requirements of the BIM model to ensure the comprehensiveness and accuracy of data collection. A high-precision laser scanner emits a laser beam, which irradiates onto the reflectors to obtain the reflected signals. Through the algorithms built into the laser scanner, the spatial coordinates and pose data (including position and angle) of the reflectors are calculated. The original data collected by the laser scanner is converted into the real-time pose data of the curtain wall unit module, including: The position data includes the three-dimensional coordinates (X, Y, Z) of the center point of the module. The angle data includes the pitch angle, yaw angle, and roll angle of the module.

[0128] Step S102. Perform Kalman filter fusion based on the preset parameters of the BIM model and the measured data of the preset wireless stress sensors to generate a pose correction amount.

[0129] Specifically, the preset pose parameters of the curtain wall unit module, including the theoretical position, angle, and stress distribution, are stored in the BIM model. The preset parameters serve as the "predicted values" 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 "observed values" of the Kalman filter. The Kalman filter algorithm fuses the preset parameters of the BIM model and the measured data of the wireless stress sensors to generate an optimal pose correction amount. Through Kalman filtering, the preset parameters of the BIM model and the measured data are fused, improving the accuracy of the pose correction amount.

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

[0131] Specifically, the real-time pose data obtained in step S101 and the pose correction amount generated in step S102 are integrated to generate the corrected pose data. The corrected pose data includes the actual position and angle of the module. Based on the corrected pose 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. Pre-tightening force parameter: The pre-tightening force application gradient of the connection node. Machining dimension adjustment amount: The adjustment amount of the module machining dimension. Update the corrected pose data and installation information 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, curtain wall unit module, and 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 pose 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 detected by a laser scanner and a wireless stress sensor to verify the installation quality. The detected data is compared with the BIM model to ensure that the system meets the design requirements. The key data (such as pose data and stress data) during 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. Through accurate installation information and real-time monitoring, the installation quality of the system is ensured. The installation process is optimized to shorten the construction time and improve the construction efficiency. Through data recording and analysis, a scientific basis is provided for subsequent construction, supporting continuous improvement.

[0134] It should be noted that those skilled in the art can clearly understand that for the convenience and simplicity of description, the installation method of the modular integrated building curtain wall system described above and the specific working processes of each step can refer to the corresponding processes in an embodiment of a modular integrated building curtain wall system described in the above embodiments, and will not be elaborated here.

[0135] The embodiment of the present application also provides 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 an installation method of 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, and the terminal can be a handheld terminal, a laptop computer, a wearable device, or a robot, etc.

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

[0137] A data acquisition unit for acquiring real-time pose data corresponding to the curtain wall unit module through a preset laser positioning reflector;

[0138] A pose correction unit for performing Kalman filter fusion based on the preset parameters of the BIM model and the measured data of the preset wireless stress sensor to generate a pose correction amount;

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

[0140] An installation completion unit for completing 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.

[0141] It should be noted that those skilled in the art can clearly understand that for the convenience and simplicity of description, the installation device of the modular integrated building curtain wall system and the specific working processes of each unit described above can refer to the corresponding processes in the installation method embodiments of a modular integrated building curtain wall system described in the above embodiments, and will not be elaborated herein.

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

[0143] Please refer to Figure 5 , Figure 5 which is a schematic block diagram of the structure of the control module provided by the embodiment of the present application. The control module includes a processor, a memory, and a network interface connected through a device bus. Among them, the memory can include a storage medium and an internal memory.

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

[0145] The processor is used to provide computing and control capabilities to 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 this computer program is executed by the processor, the processor can be made to execute any installation method based on a modular integrated building curtain wall system.

[0147] This network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art can understand that Figure 5 the structure shown in

[0148] It should be understood that the processor can be a Central Processing Unit (CPU), and the processor can also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

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

[0150] Obtain the real-time pose data corresponding to the curtain wall unit module through a preset laser positioning reflector;

[0151] Perform Kalman filter fusion based on the preset parameters of the BIM model and the measured data of the preset wireless stress sensor to generate a pose correction amount;

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

[0153] 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.

[0154] It should be noted that those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described processor can refer to the corresponding process in the method embodiments described in the above various embodiments, and will not be elaborated here.

[0155] In an embodiment of the present application, a computer-readable storage medium is further provided. The computer-readable storage medium stores a computer program, and the computer program includes program instructions. The processor executes the program instructions to implement the steps of an installation method of a modular integrated building curtain wall system provided in the above various embodiments of the present application.

[0156] Among them, the computer-readable storage medium may be an internal storage unit of the control module described in the foregoing embodiments, such as the 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 equipped on the control module, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc.

[0157] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A modular integrated building curtain wall system, characterized in that, Comprising: The MIC main structure module, including a building load-bearing structure and embedded connecting parts; The curtain wall unit module, including an integrally arranged glass curtain wall unit, an aluminum plate curtain wall unit, a balcony railing unit, and a balcony bottom aluminum plate ceiling unit; The modular connection structure, 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 and a concave chute with a slope guiding surface; the socket connection component is provided with a temperature deformation self-adaptive adjustment mechanism, and the adjustment mechanism includes a socket structure with a shape memory alloy sleeve; The BIM intelligent integration interface, including a control module, which is used to obtain the real-time pose data corresponding to the curtain wall unit module through a preset laser positioning reflector; perform Kalman filter fusion on the preset parameters of the BIM model and the measured data of the preset wireless stress sensor to generate a pose correction amount; generate the MIC main structure module, the curtain wall unit module, and the corresponding module installation information according to the real-time pose data and the pose correction amount, and use the module installation information to complete the installation of the MIC main structure module, the curtain wall unit module, and the modular connection structure to obtain the modular integrated building curtain wall system; the laser positioning reflectors are arranged at the four corners of the curtain wall unit module and the docking boundaries of the modular connection structure, and the surface of the laser positioning reflector is provided with a unique coding identifier based on the coordinate system corresponding to the BIM model; obtaining the real-time pose data corresponding to the curtain wall unit module through the preset laser positioning reflector includes: performing multi-angle scanning on the laser positioning reflector by a preset laser scanner to obtain the three-dimensional coordinates and coding identifier corresponding to the laser positioning reflector; matching the corresponding preset coordinates in the BIM model according to the coding identifier, and calculating the actual installation position, horizontal tilt angle, and vertical deflection angle corresponding to the curtain wall unit module through a coordinate transformation algorithm; generating real-time pose data including three-dimensional displacement and attitude angle according to the actual installation position, horizontal tilt angle, and vertical deflection angle; the wireless stress sensors are embedded in the contact surfaces between the convex guide rail and the concave chute of the horizontal plug-in connection component, and between the shape memory alloy sleeve and the socket interface of the vertical socket connection component; performing Kalman filter fusion on the preset parameters of the BIM model and the measured data of the preset wireless stress sensor to generate a pose correction amount, 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; generating a process noise covariance matrix according to the deformation characteristics of the shape 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 according to the adaptive filtering model and the covariance matrix to generate a pose correction amount under the minimum variance; the pose correction amount includes a horizontal plug-in gap compensation value, a vertical socket angle compensation value, and an inter-module pre-tightening force threshold.

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

3. The system according to claim 2, wherein Dynamically adjusting the bolt pre-tightening force application 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 pre-tightening force gradient model, and setting the initial pre-tightening force corresponding to the pre-tightening force gradient model to 70%-80% of the BIM model preset value; Dynamically adjusting the pre-tightening force application gradient corresponding to the pre-tightening force gradient model according to the stress distribution uniformity index corresponding to the feedback data; When it is detected that the stress difference between adjacent bolt nodes corresponding to the modular connection structure exceeds the threshold, triggering a gradient compensation algorithm, and 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 ±3% error band of the preset threshold.

4. The system according to claim 1, wherein Completing the installation of the MIC main structure module, the curtain wall unit module and the modular connection structure according to the module installation information includes: Positioning the curtain wall unit module to the preset coordinates corresponding to the module installation information through a preset automated hoisting device, and performing dynamic deviation correction through a laser positioning reflector; Controlling the adjustment mechanism of the modular connection structure according to the pose 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 insertion gap; the shape memory alloy sleeve of the vertical socket connection component activates the shape memory effect through a preset temperature adjustment module to achieve adaptive adjustment of the socket angle; Applying the pre-tightening force of the connection node by using a gradient loading algorithm according to the feedback data of the wireless stress sensor until the measured stress value reaches the range of 95%-105% of the BIM model preset threshold.

5. The system according to claim 1, wherein 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: An elastic support member arranged horizontally, the elastic support member is arranged horizontally on the MIC main structure module, and the elastic support member is composed of a laminated rubber and a disc spring in combination, and the elastic modulus range is 5-20 GPa; A spherical hinge connector arranged vertically, with an internal angle compensation mechanism, and the corresponding deflection compensation is ±5°; Anticorrosion and conductive dual-functional coating, the anticorrosion and conductive dual-functional coating covers the surface of the embedded connector, the coating resistivity ≤ 1×10⁻³Ω·m, and is used to establish an electrostatic conduction path between modules.

6. The system according to claim 1, wherein A topological interlocking connection structure is adopted between the balcony railing unit and the MIC main structure module. The topological interlocking connection structure includes: A T-shaped embedded channel, the T-shaped embedded channel is arranged at the bottom of the corresponding column of the balcony railing unit, and a self-lubricating polymer material layer is provided on the inner wall of the T-shaped embedded channel; A quick clamping assembly that cooperates with the channel. The quick clamping assembly includes a wedge-shaped locking block driven by a shape memory alloy; A double-layer gradient density foaming rubber 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 foaming rubber strip is 80-100 kg / m³, and the outer layer density is 120-150 kg / m³. The double-layer gradient density foaming rubber strip forms a continuous isobaric cavity after installation and compression.

7. The system according to claim 1, characterized in that, After obtaining the modular integrated building curtain wall system, the control module is further used for: After the hoisting of the MIC main structure module is completed, the actual installation data corresponding to the modular integrated building curtain wall system is obtained through a laser scanner, and the actual installation data is compared with the point cloud of the BIM model; When it is determined according to the comparison result corresponding to the point cloud comparison that the seam width error between modules corresponding to the MIC main structure module, the curtain wall unit module and the modular connection structure > 2 mm or the angle deviation > 0.5°, a model correction instruction is generated. The model correction instruction at least includes the thermal expansion coefficient compensation value of the adjacent module connection node, the pre-processing dimension adjustment amount of the subsequent module to be installed, and the trajectory optimization parameters of the hoisting path; Update the BIM model according to the model correction instruction.

8. An installation method for a modular integrated building curtain wall system, characterized in that, For the control module applied to the modular integrated building curtain wall system according to any one of claims 1-7, the method includes: Obtain the real-time pose data corresponding to the curtain wall unit module through a preset laser positioning reflector; Perform Kalman filter fusion based on the preset parameters of the BIM model and the measured data of the preset wireless stress sensor to generate a pose correction amount; Generate the installation information of the MIC main structure module, the curtain wall unit module and the corresponding modules according to the real-time pose data and the pose correction amount; 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.

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