Construction method and system of thermal insulation curtain wall

Abstract

The invention relates to the technical field of buildings, in particular to a construction method and system of a heat preservation curtain wall. The method comprises the following steps that a heat preservation curtain wall body wall surface structure is obtained; the method comprises the following steps: detecting a wall surface void area based on a thermal insulation curtain wall main body wall surface structure to obtain void area data; wall surface structure repairing is conducted based on the honeycomb pitted surface area data, and a heat preservation curtain wall repairing wall surface structure is obtained; pre-embedded connecting pieces are arranged on the basis of the heat preservation curtain wall repairing wall face structure, coordinates of reserved anchoring holes are marked, and an anchoring hole instruction is generated; curtain wall keel construction is conducted on the heat preservation curtain wall repairing wall face structure according to the anchoring hole instruction, and curtain wall keel data are obtained; performing high-temperature simulation based on the curtain wall keel data to obtain curtain wall keel high-temperature expansion data; setting a keel connection deformation space based on the curtain wall keel high-temperature expansion data, and designing a curtain wall connection movable structure based on the keel connection deformation space. The heat energy utilization rate and the structural adaptability of the curtain wall system are improved based on the building technology.

Description

Technical Field

[0001] The present invention relates to the field of building technology, and in particular to a construction method and system for a thermal insulation curtain wall. Background Art

[0002] Traditional methods of identifying wall defects in thermal insulation curtain walls are relatively primitive, usually relying on manual visual inspection or simple tapping methods. They are unable to accurately detect structural defects such as honeycomb surfaces on the wall surface and interior, and there is a high risk of missed detection and misjudgment. Secondly, there is a lack of detailed grading of the degree of defects during the wall repair process, and a unified repair strategy is usually adopted, which can easily lead to over-treatment of minor defects and under-treatment of serious defects, thereby affecting the firmness of subsequent curtain wall connections and the overall strength of the wall. In terms of curtain wall anchor construction, traditional methods mostly rely on manual point placement and empirical design, lacking the evaluation and analysis of wall strength distribution, resulting in arbitrary anchor point locations and safety hazards such as insufficient local wall pressure and anchor failure. At the same time, the traditional keel structure design does not take into account the thermal expansion and contraction effects in high temperature or cold environments, and lacks deformation buffer structures such as sliding connections or elastic supports. It is easy for the keel structure to crack, the connection to loosen, or the curtain wall to deform and fall off due to changes in environmental stress. In addition, in terms of insulation layer design, traditional methods usually use a single material for full coverage, ignoring the differences in heat loss in different areas, resulting in excessive insulation in some areas and insufficient insulation in some areas, low overall thermal efficiency, and failure to fully utilize renewable energy sources such as solar energy, resulting in low heat recovery and conduction efficiency. Summary of the Invention

[0003] Based on this, it is necessary for the present invention to provide a method and system for constructing a thermal insulation curtain wall to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for constructing a thermal insulation curtain wall comprises the following steps: Step S1: obtaining the main wall structure of the thermal insulation curtain wall; performing honeycomb surface area detection on the wall based on the main wall structure of the thermal insulation curtain wall to obtain honeycomb surface area data; repairing the wall structure based on the honeycomb surface area data to obtain the repaired wall structure of the thermal insulation curtain wall; Step S2: pre-embedded connectors are set based on the thermal insulation curtain wall repair wall structure, and the coordinates of the reserved anchor holes are marked to generate anchor hole instructions; curtain wall keels are constructed for the thermal insulation curtain wall repair wall structure according to the anchor hole instructions to obtain curtain wall keel data; high temperature simulation is performed based on the curtain wall keel data to obtain high temperature expansion data of the curtain wall keel; Step S3: setting the keel connection deformation space based on the high-temperature expansion data of the curtain wall keel, and designing the curtain wall connection movable structure based on the keel connection deformation space; integrating the curtain wall connection movable structure into the insulation curtain wall repair wall structure to obtain the insulation curtain wall optimized structure; Step S4: designing an insulation layer based on the optimized structure of the insulation curtain wall to obtain the insulation layer structure; using the heat collection assembly to collect solar energy, convert the heat energy, and transmit it to the insulation layer structure to obtain the thermal energy data of the insulation curtain wall.

[0005] The present invention uses digital means to detect honeycombed areas on wall surfaces, overcoming the subjectivity and misjudgment problems of traditional visual inspection or tapping methods, significantly reducing missed detection rates and repair blind spots. At the same time, targeted repairs are implemented based on honeycombed area data, avoiding over-treatment of minor defects and under-repair of serious defects, thereby enhancing the targeted repair effect and structural reliability. In terms of curtain wall anchor construction, the command-based generation of pre-embedded connectors and anchor hole coordinates breaks the arbitrariness of traditional manual point placement, achieving structured and standardized deployment of connection positions, and effectively avoiding anchor failure problems caused by insufficient bearing capacity. High-temperature expansion simulation is performed based on curtain wall keel data, further improving the structural design's adaptability to environmental stress. By introducing the design of connection deformation space and connection movable structure, the keel system's thermal expansion compensation capability in high-temperature environments is significantly enhanced, avoiding stress concentration and structural damage to the keel structure caused by temperature changes, and improving the stability and safety of the curtain wall connection. The insulation layer structure design, based on the differences in heat loss areas, achieves customized configuration based on zoning, avoiding waste of insulation material resources and improving overall thermal efficiency. Combined with the thermal collection components, solar energy is converted into thermal energy and transmitted directionally to the insulation layer, which significantly improves the curtain wall structure's utilization rate of renewable energy, achieves the energy-saving and low-carbon goals of the building envelope system, and provides a high-performance curtain wall solution for buildings in cold regions that integrates structural strength, deformation adaptability and energy utilization.

[0006] Preferably, step S1 is specifically as follows: Step S11: Obtain the main wall structure of the thermal insulation curtain wall; Step S12: collecting an infrared image of the curtain wall according to the main wall structure of the thermal insulation curtain wall; Step S13: identifying cold spot features based on the curtain wall infrared image; Step S14: calculating the cold spot distribution density according to the cold spot characteristics; Step S15: determining the honeycomb surface area of ​​the wall based on the cold spot distribution density, and obtaining honeycomb surface area data; Step S16: Repairing the wall structure based on the honeycomb surface area data to obtain a repaired wall structure of the thermal insulation curtain wall.

[0007] By introducing infrared imaging technology and a cold spot recognition algorithm, this invention overcomes the limitations of traditional thermal insulation curtain wall inspection methods for identifying defects on the wall surface and internal structure, avoiding the subjective errors and detection blind spots caused by manual visual inspection and mechanical tapping. By accurately capturing the temperature distribution on the wall surface through infrared imaging and further combining cold spot feature recognition and distribution density calculation, it can accurately identify areas on the wall with honeycomb surface defects, enabling visual quantitative analysis of structural defects. This solution effectively improves the coverage and positioning accuracy of defect detection, and through the calculation of cold spot density, it achieves a quantitative classification of defect areas based on their severity, providing a scientific basis for subsequent structural repair. Compared with traditional unified repair strategies, this method implements differentiated repair solutions based on the degree of defects reflected by cold spot density, avoiding resource waste and structural risk omissions, ensuring that the repair process matches the actual defect intensity, and improving the consistency and reliability of the repair quality. Through this systematic identification and repair process, the overall consistency and stability of the thermal insulation curtain wall in subsequent structural connection, load transfer, and thermal insulation performance are improved, providing accurate repair guarantees at the basic structural level for the construction of the thermal insulation curtain wall.

[0008] Preferably, step S16 is specifically as follows: Step S161: dividing the severely defective area based on the honeycomb surface area data to obtain a mild defect area, a moderate defect area, and a severe defect area; Step S162: performing surface plaster repair simulation based on the light defect area to obtain surface plaster repair data; Step S163: performing loose layer elimination according to the moderate defect area to obtain loose layer elimination data, and performing mortar filling simulation based on the loose layer elimination data to obtain mortar filling data; Step S164: Perform structural reinforcement processing according to the serious defect area to obtain structural reinforcement data; Step S165: Integrate the surface plaster repair data, mortar filling data, and structural reinforcement data to obtain the insulation curtain wall repair wall structure.

[0009] This invention achieves a refined and layered approach to defect repair strategies by meticulously categorizing honeycombed surface data by severity, overcoming the waste of repair resources and reduced structural reliability associated with traditional, uniform repair methods. By introducing a differentiated identification mechanism for mild, moderate, and severe defect levels, wall repairs are more targeted and precise. For areas with mild defects, a surface plaster repair simulation can repair minor cracks or dents without damaging the original structure. This step uses thermal imaging data and a wall texture analysis algorithm to determine the extent of surface damage. Plaster simulation parameters (including a repair depth of 1-3mm and a plaster layer adhesion strength ≥0.5MPa) are then applied to ensure the simulation results are consistent with subsequent construction requirements. For areas with moderate defects, a loose layer removal process removes expired base material, preventing the risk of secondary shedding and insulation debonding. Combined with a mortar filling simulation, the structural continuity of the repaired wall is enhanced by controlling the mortar mix ratio (water-cement ratio of 0.4510mm) and interlayer bonding parameters. Directly addressing areas of severe defects, structural reinforcement measures such as the insertion of reinforced mesh and overall sealing with polymer mortar composite layers effectively reconstruct the local bearing capacity of the wall. Stress simulations were used to control the reinforcement scope (increasing structural strength by over 30%) and deformation limits, enabling engineering-grade repair of defective areas. By integrating and modeling these various data types, the final repaired wall structure was formed, ensuring coordination between the various repair measures and the rationality of the hierarchical transitions while also providing a solid and reliable base structural support for subsequent curtain wall system integration.

[0010] Preferably, step S2 is specifically as follows: Step S21: setting embedded connectors based on the thermal insulation curtain wall repair wall structure, marking the reserved anchor hole coordinates, and generating anchor hole instructions; Step S22: screening the anchorable area of ​​the thermal insulation curtain wall repair wall structure according to the anchor hole instruction to obtain anchorable area data; Step S23: generating a curtain wall keel construction path based on the anchorable area data; Step S24: Install the embedded parts according to the curtain wall keel construction path to obtain the curtain wall keel embedded parts data; Step S25: Drill anchor holes based on the curtain wall keel embedded part data to obtain curtain wall keel data; Step S26: Perform high temperature simulation based on the curtain wall keel data to obtain high temperature expansion data of the curtain wall keel.

[0011] The application can improve the scientificity and consistency of anchor distribution by combining the wall repair result with the arrangement requirement of embedded connecting piece, using digital modeling means to accurately mark the anchor hole coordinates, and generating anchor hole instructions, and can avoid the safety hazards and uneven anchor strength caused by traditional manual experience distribution. Based on the instructions, the anchorable area is screened, the weak area of the wall, the un-solidified area or the local area with structural defects can be effectively avoided, and the anchor structure is established in the strength qualified area, so as to improve the stability of the anchor system from the source. On this basis, the curtain wall keel construction path is generated by constructing the path algorithm, so as to ensure the collaborative matching between the keel installation and the anchor layout, improve the overall stress coordination, and avoid the displacement of the keel structure or the local stress concentration after installation. According to the construction path, the embedded part is installed, the accuracy and structural consistency of the embedded position can be improved, and the mechanical engagement effect of the subsequent connecting piece and the wall is improved. The anchor hole drilling is strictly implemented according to the embedded part arrangement scheme, the bolt slip or thread damage phenomenon caused by drilling error is avoided, so as to ensure the long-term stability of the keel after installation. Finally, the linear size change, connecting piece slip risk and fixed point stress mutation caused by thermal expansion and cold contraction of the curtain wall keel structure are identified in advance, the setting of sliding connection structure, elastic support or expansion joint is provided, the structural safety guarantee and thermal stress relief of the curtain wall system under the condition of extreme temperature difference are realized, and the technical problems of easy cracking and easy failure of the traditional structure under the condition of environmental strain are fundamentally solved.

[0012] Preferably, step S23 is specifically: Step S231: evaluating the anchorable area wall strength based on the anchorable area data; Step S232: determining the anchor depth according to the anchorable area wall strength; Step S233: setting the anchor type based on the anchor depth; Step S234: designing the keel connection mode according to the anchor type; Step S235: generating the curtain wall keel construction path based on the keel connection mode.

[0013] The present invention can accurately identify the difference in local bearing capacity through systematic evaluation of the wall strength in the anchorable area, avoid setting anchor points in low-strength areas, and eliminate the hidden dangers of local instability and anchor failure from the root; intelligently match the anchor depth according to the strength level, and achieve the best bite degree and force coordination of the anchor in different wall environments, thereby enhancing the overall stability and pull-out resistance of the anchor system; the anchor depth reversely guides the setting of the anchor type, which is conducive to achieving the physical matching and force fit between the anchor component and the wall structure, and avoiding loose connection or local cracking due to the mismatch between the anchor depth and the anchor specification; the anchor The type of fasteners further guides the refined design of the keel connection method. Rigid connection, flexible connection or sliding connection solutions can be selected according to different anchors, thereby improving the adaptability and durability of the keel system to temperature-dependent stresses. Ultimately, the optimal curtain wall keel construction path is formed after integrating the anchoring depth, anchor form and connection method, ensuring that the keel structure layout process is highly matched with the wall mechanical properties and component connection logic, achieving multiple optimizations of the curtain wall system's structural strength, connection firmness and deformation coordination, and solving the structural hidden dangers and failure risks caused by the disconnection between design and construction in traditional systems.

[0014] Preferably, step S3 is specifically as follows: Step S31: extracting the linear expansion coefficient of the keel material and the keel material quality change data based on the curtain wall keel high temperature expansion data; calculating the material thermal expansion length according to the linear expansion coefficient of the keel material and the keel material quality change data; Step S32: Designing a connection gap reserve according to the material thermal expansion length; and designing a sliding node based on the connection gap reserve; Step S33: Integrate the connection gap reserve and the sliding node to obtain the keel connection deformation space; Step S34: calculating the lateral deformation based on the keel connection deformation space; configuring the lateral sliding structure according to the lateral deformation; Step S35: Calculating the vertical settlement based on the keel connection deformation space; configuring the elastic support structure according to the vertical settlement; Step S36: Structural integration is performed based on the transverse sliding structure and the elastic support structure to obtain a curtain wall connection movable structure; Step S37: Integrate the curtain wall connecting movable structure into the thermal insulation curtain wall repair wall structure to obtain the thermal insulation curtain wall optimized structure.

[0015] By extracting the linear expansion coefficient of the keel material and the material stiffness change data, the present invention can accurately calculate the thermal expansion behavior of the keel in a high-temperature environment, thereby providing a scientific basis for subsequent structural design; combining the thermal expansion length to design the connection gap reserve, and designing the sliding node accordingly, it can effectively release the stress concentration caused by temperature changes, and avoid cracking of the connection parts or structural shedding; taking the reserved gap and the sliding node into consideration, it is possible to establish a keel connection deformation space with reasonable deformation buffering capacity, thereby improving the structural flexibility; based on the deformation space, the lateral deformation amount is further calculated, and the lateral sliding structure is configured accordingly, which can improve the curtain wall system's ability to absorb horizontal thermal expansion stress and prevent lateral extrusion deformation; in the vertical direction, In terms of direction, through settlement calculation and elastic support configuration, it is possible to effectively cope with the vertical displacement caused by temperature difference or load change, and avoid curtain wall cracking or deformation and instability due to settlement difference; finally, through the integration of horizontal sliding structure and vertical elastic support, a curtain wall connection movable structure is constructed, so that the whole system has multi-dimensional thermal expansion and relief capabilities and structural flexibility adjustment capabilities, which can actively adapt to thermal stress changes in complex climatic environments and maintain the stability of the curtain wall structure; integrating the connection movable structure into the repaired wall surface not only improves the structural integrity and durability of the curtain wall system, but also realizes the whole process linkage optimization from defect repair to thermal expansion control, which greatly improves the safety performance and service life of the thermal insulation curtain wall in extreme environments.

[0016] Preferably, step S34 is specifically as follows: Step S341: Calculating the lateral deformation based on the keel connection deformation space; Step S342: Calculating the sliding margin according to the lateral deformation; Step S343: performing sliding structure parameter matching based on the sliding margin to obtain sliding structure configuration data; Step S344: selecting a sliding component according to the sliding structure configuration data, thereby obtaining sliding component data; Step S345: performing connection integration according to the sliding component data to obtain a transverse sliding structure.

[0017] By calculating the lateral deformation in the deformation space of the keel connection, the present invention can accurately identify the actual lateral displacement requirements of the curtain wall structure under thermal expansion and contraction or external forces, providing an accurate basis for subsequent structural design; further calculating the sliding margin based on the deformation amount is helpful to reasonably plan the buffer margin of the sliding structure, and avoid sliding jamming or structural damage due to insufficient margin; matching the sliding structure parameters in combination with the sliding margin ensures that the sliding structure can maintain sensitive response and stable performance under different operating conditions, thereby improving the adaptability and safety of the overall sliding system; selecting the optimal sliding component through the sliding structure configuration data, so that the sliding component can be highly consistent with the design requirements in terms of size, material, displacement bearing range, etc., thereby enhancing the execution accuracy and reliability of the sliding structure; finally, the sliding component data is used for connection integration to form an integrated lateral sliding structure, which not only improves the flexible adjustment ability of the keel structure to cope with temperature expansion and contraction and lateral loads, but also enhances the stress impact resistance and long-term service stability of the thermal insulation curtain wall system, thereby effectively avoiding failure problems such as cracking, warping, and dislocation caused by traditional rigid connections.

[0018] Preferably, step S35 is specifically as follows: Step S351: Calculating vertical settlement based on the keel connection deformation space; Step S352: performing settlement buffer demand analysis based on vertical settlement to obtain settlement buffer parameter data; Step S353: performing elastic support response design based on the settlement buffer parameter data to obtain elastic response data; Step S354: Select the support structure according to the elastic response design data to obtain support configuration data; Step S355: Arrange nodes according to the support configuration data to obtain an elastic support structure.

[0019] By calculating the vertical settlement in the deformation space of the keel connection, the present invention can effectively identify the vertical displacement trend of the curtain wall structure caused by temperature changes, load transfer or foundation micro-deformation during long-term use, providing an accurate basis for the subsequent structural buffer design; combining the settlement to carry out settlement buffer demand analysis, it can propose differentiated buffering strategies based on the settlement characteristics under different usage scenarios, avoiding cracking or shear damage at the connection part due to insufficient buffering; designing the response characteristics of the elastic support based on the settlement buffer parameters to ensure that the support has appropriate restoring force, elastic modulus and displacement response range, thereby improving The support structure's compliance to vertical deformation; structural selection is carried out through support response design data, so that the selected supports are highly matched with the curtain wall system requirements in terms of bearing capacity, flexible adjustment range and durability, which helps to improve the overall fatigue and deformation resistance of the curtain wall; finally, the node layout is completed based on the support configuration data to form a structurally complete and responsive elastic support system, which not only enhances the curtain wall system's ability to adapt to environmental settlement or construction errors, but also effectively avoids the structural stress concentration and damage risks caused by rigid connections, thereby significantly improving the safety, reliability and durability of the thermal insulation curtain wall system.

[0020] Preferably, step S4 is specifically as follows: Step S41: performing heat flow conduction simulation based on the optimized structure of the thermal insulation curtain wall to obtain heat flow conduction data; Step S42: identifying a heat flow path according to the heat flow conduction data; Step S43: Calculating the heat flow loss rate according to the heat flow path, and calibrating the heat energy loss prone area based on the heat flow loss rate; Step S44: dividing the heat loss area based on the heat energy easy loss area to obtain a high heat energy loss area and a low heat energy loss area; Step S45: performing polyurethane foaming and laying according to the high heat loss area to obtain a polyurethane foam layer; Step S46: applying aerogel coating to the low heat loss area to obtain an aerogel coating; Step S47: Integrate the polyurethane foam layer and the aerogel coating to obtain a thermal insulation layer structure; Step S48: using the heat collection assembly to collect solar energy, convert it into heat energy, and transmit it to the insulation layer structure to obtain thermal energy data of the insulation curtain wall.

[0021] The present invention simulates the heat flow conduction of the optimized structure of the insulation curtain wall, which can accurately reflect the changes in the heat conduction path and conduction intensity between different structural layers, providing a scientific basis for the subsequent insulation layer design; by identifying the heat flow path and calculating the heat flow loss rate, the degree of heat loss in each area can be effectively quantified, avoiding the problem of insufficient understanding of heat loss trends in traditional insulation design; further calibration of areas prone to heat loss and differentiated regional division can achieve accurate identification of high heat loss areas and low heat loss areas, thereby improving the pertinence of insulation strategies and resource utilization efficiency; polyurethane foam paving is implemented in areas with high heat loss, which not only enhances the thermal insulation capacity of the area, but also effectively Filling structural gaps and improving thermal bridge effects; using aerogel coating in areas with low heat loss helps reduce material costs and maintain high thermal resistance, while reducing curtain wall loads; integrating the polyurethane foam layer and the aerogel coating to form a gradient insulation layer structure allows the overall insulation system to have both high-efficiency insulation and lightweight adaptability, improving energy efficiency and construction convenience; combining solar energy collection components to collect solar energy and convert it into energy and transmit it to the insulation structure, not only improves the curtain wall's self-sufficient thermal energy capacity, but also achieves deep integration of renewable energy and local heat compensation, effectively alleviating heat loss pressure in extremely cold areas, thereby comprehensively improving the energy efficiency, stability and environmental adaptability of the curtain wall system.

[0022] Preferably, this specification also provides a thermal insulation curtain wall construction system for executing the thermal insulation curtain wall construction method described above, the thermal insulation curtain wall construction system comprising: The wall structure repair module is used to obtain the main wall structure of the thermal insulation curtain wall; based on the main wall structure of the thermal insulation curtain wall, the honeycomb surface area of ​​the wall is detected to obtain honeycomb surface area data; based on the honeycomb surface area data, the wall structure is repaired to obtain the repaired wall structure of the thermal insulation curtain wall; The high-temperature simulation module is used to set embedded connectors based on the thermal insulation curtain wall repair wall structure, mark the coordinates of the reserved anchor holes, and generate anchor hole instructions; construct the curtain wall keel of the thermal insulation curtain wall repair wall structure according to the anchor hole instructions to obtain curtain wall keel data; and perform high-temperature simulation based on the curtain wall keel data to obtain curtain wall keel high-temperature expansion data; The thermal insulation curtain wall optimization module is used to set the deformation space of the curtain wall keel connection based on the high-temperature expansion data of the curtain wall keel, and design the curtain wall connection movable structure based on the deformation space of the keel connection; the curtain wall connection movable structure is integrated into the thermal insulation curtain wall repair wall structure to obtain the thermal insulation curtain wall optimized structure; The insulation layer design module is used to design the insulation layer based on the optimized structure of the insulation curtain wall to obtain the insulation layer structure; the solar energy is collected by the heat collection component, and the heat energy is converted and transmitted to the insulation layer structure to obtain the thermal energy data of the insulation curtain wall. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments thereof made with reference to the following drawings: Figure 1 A schematic flow chart of the steps of a method for constructing a thermal insulation curtain wall according to the present invention; Figure 2 Detailed step flow diagram of step S1 in the present invention; Figure 3 Detailed flowchart of step S17 in the present invention; The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0024] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative work are within the scope of protection of the present invention.

[0025] In addition, the accompanying drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor and / or microcontroller approaches.

[0026] It should be understood that although the terms "first," "second," and the like may be used herein to describe various elements, these elements should not be limited by these terms. These terms are used solely to distinguish one element from another. For example, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element, without departing from the scope of the exemplary embodiments. The term "and / or" as used herein includes any and all combinations of one or more of the listed associated items.

[0027] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for constructing a thermal insulation curtain wall, the method comprising the following steps: Step S1: obtaining the main wall structure of the thermal insulation curtain wall; performing honeycomb surface area detection on the wall based on the main wall structure of the thermal insulation curtain wall to obtain honeycomb surface area data; repairing the wall structure based on the honeycomb surface area data to obtain the repaired wall structure of the thermal insulation curtain wall; In this example, a laser rangefinder scanner (e.g., Leica RTC360) was used to collect 3D data of the main wall structure of the thermal insulation curtain wall, acquiring wall point cloud data. The acquisition accuracy was set to ±1.0 mm, and the scanning distance was controlled within 15 meters. The scanned data was reconstructed using wall point cloud modeling software (e.g., Cyclone 3DR) to generate a 3D geometric model of the wall surface. Honeycomb detection threshold parameters were set, with the roughness Ra value of the pitted area set to greater than 60 µm, the honeycomb area depression depth greater than 4 mm, and the area no less than 50 mm². A boundary gradient recognition algorithm was used to extract the boundaries of the abnormal areas. The extracted honeycomb area data was annotated on the 3D model to form a honeycomb area coordinate set. Based on this coordinate set, a polymer-modified mortar (with a ratio of cement: polymer: sand = 1:0.25:2) was applied to the patch. The repair area thickness was controlled to 5-10 mm. The patch was compacted and flattened using a steel spatula. After 24 hours, a rebound test was performed, requiring a strength of ≥15 MPa. Finally, by rescanning and comparing the flatness of the repaired area with the surrounding walls, the height deviation is no more than 2 mm, which means the wall structure of the insulation curtain wall is repaired.

[0028] Step S2: pre-embedded connectors are set based on the thermal insulation curtain wall repair wall structure, and the coordinates of the reserved anchor holes are marked to generate anchor hole instructions; curtain wall keels are constructed for the thermal insulation curtain wall repair wall structure according to the anchor hole instructions to obtain curtain wall keel data; high temperature simulation is performed based on the curtain wall keel data to obtain high temperature expansion data of the curtain wall keel; In this embodiment, the embedded connectors are arranged on the surface of the insulated curtain wall repair structure in a 600 mm x 600 mm grid. Stainless steel expansion bolts (M10 x 100 mm) are used for the connections. A Φ10 mm diamond core drill bit is used for drilling, with a depth of 90 mm and a hole position deviation of no more than ±3 mm. A total station (such as the Topcon GT-1003) is used to precisely measure and record the coordinates of each embedded hole location, generating an anchor hole coordinate database. This coordinate database is then input into an anchor hole drilling control terminal (CNC control platform) and converted into standard G-code anchor hole instructions. A robotic arm automatically executes the drilling and connector placement operations based on the anchor hole instructions. Once completed, a cold-formed steel keel (thickness ≥ 2.5 mm, cross-section 40 x 60 mm) is secured to the embedded connectors with expansion bolts to form the keel support structure. Use high temperature thermal expansion simulation software (such as ANSYS Mechanical) to simulate the keel structure in a high temperature environment. Set the ambient temperature to rise from room temperature to 90°C for 6 hours. The thermal expansion coefficient of the material is set to , output expansion direction displacement data and stress change data between nodes, and obtain high temperature expansion data of curtain wall keel.

[0029] Step S3: setting the keel connection deformation space based on the high-temperature expansion data of the curtain wall keel, and designing the curtain wall connection movable structure based on the keel connection deformation space; integrating the curtain wall connection movable structure into the insulation curtain wall repair wall structure to obtain the insulation curtain wall optimized structure; In this embodiment, based on the high-temperature expansion data obtained in step S2, the connection gap in the direction of maximum free expansion of the keel is set to 1.5 times the maximum displacement value (for example, the maximum axial expansion of a node is 2.3 mm), or 3.45 mm, to provide the deformation allowance for the keel connection. The designed curtain wall joint structure uses a slot + slider structure. The slot is 5 mm deep and 4 mm wide. The slider is made of polytetrafluoroethylene and is 3 mm thick. After insertion, a 1.2 mm clearance is reserved. A slot is machined at the end of the keel using a CNC machine tool. The slider is installed at the keel connection node and locked with an M5 screw. High-temperature grease (temperature resistant ≥ 150°C) is applied to the interface to reduce thermal expansion stress concentration. After the entire curtain wall joint structure is installed, the structural integrity of the keel connection is tested using ultrasonic testing equipment (testing frequency 5 MHz). The crack echo threshold is set to -12 dB to ensure that the joint structure is free of machining defects. After completion, the connecting movable structure is integrated into the repaired wall structure and its position is repositioned with the error controlled within ±2 mm to form an optimized structure of the thermal insulation curtain wall.

[0030] Step S4: designing an insulation layer based on the optimized structure of the insulation curtain wall to obtain the insulation layer structure; using the heat collection assembly to collect solar energy, convert the heat energy, and transmit it to the insulation layer structure to obtain the thermal energy data of the insulation curtain wall.

[0031] In this example, the insulation layer is designed based on the optimized structure of the insulated curtain wall. Polyurethane rigid foam composite panels are used as the insulation material, with a thickness of 60 mm and a thermal conductivity of 0.022 W / (m·K). The insulation panels are secured using both structural adhesive and mechanical anchors. The adhesive is 3 mm thick and has a pull-out strength of ≥0.3 MPa. The anchor bolts are spaced 300 mm apart. Heat collector assemblies are evenly distributed outside the insulation layer. These assemblies utilize metal-coated vacuum glass tubes, each 1.5 m long and 47 mm in diameter, with spacing within 70 mm. These assemblies are connected to high-efficiency thermal energy conversion modules (using semiconductor thermoelectric chips with a thermoelectric conversion efficiency of η ≥ 10%). These modules convert solar energy into heat, which is then transferred via high-conductivity aluminum tubes (with a thermal conductivity of 205 W / m·K) to a pre-set aluminum heat-conducting grid structure beneath the insulation layer. The grid spacing in this structure is 25 mm, and the permissible temperature difference for heat conduction is ±1.5°C. Monitor the temperature distribution of the insulation layer using a thermal imaging monitor (resolution ≥320×240) to confirm that there are no interruptions in the heat transfer path and no thermal resistance nodes, thus completing the thermal energy data acquisition operation for the insulation curtain wall.

[0032] Preferably, step S1 is specifically as follows: Step S11: Obtain the main wall structure of the thermal insulation curtain wall; In this embodiment, a three-dimensional laser scanner (Leica BLK360 is recommended) is used to collect surface structural data of the main wall structure of the thermal insulation curtain wall. During the scanning process, the device is set within 5 meters from the wall, using a 360° full coverage mode, and the scanning accuracy is set to ≤5 mm per point spacing. After the scan is completed, the wall point cloud data is output in the form of a .las file. The point cloud data is imported into the three-dimensional reconstruction platform, and the facade geometric outline of the building curtain wall is generated in the XYZ axis direction. In order to improve the structural positioning accuracy, point cloud registration is performed using a total station (such as Topcon GTL-1000), and the registration error is controlled to ≤3mm to complete the coordinate unification of the main wall structure. This structural data is used for subsequent thermal image analysis and cold spot corresponding positioning.

[0033] Step S12: collecting an infrared image of the curtain wall according to the main wall structure of the thermal insulation curtain wall; In this example, based on the main structure of the insulated curtain wall, an infrared thermal imager (Fluke TiX580, thermal sensitivity ≤0.05°C at 30°C) was used to capture infrared images during the nighttime period when the temperature remained stable. The time of day was between 4:00 AM and 5:00 AM, ensuring a large temperature difference to enhance thermal image contrast. The infrared thermal imager was mounted on a stable tripod and positioned vertically at a distance of 3 meters from the curtain wall. The imaging angle was controlled at 90°±5°, and the image resolution was set to 640×480 pixels. During the acquisition process, ambient temperature, wind speed, and humidity parameters were recorded for each frame using a temperature sensor (±0.2°C accuracy), an anemometer (±0.3 m / s accuracy), and a hygrometer (±2% RH accuracy), respectively. These parameters served as the basis for subsequent image correction. Image files were saved in the .tiff format, and the acquisition cycle was controlled to complete at least 20 consecutive thermal image frames within 15 minutes to ensure full coverage of the entire curtain wall area.

[0034] Step S13: identifying cold spot features based on the curtain wall infrared image; In this embodiment, an infrared image analysis platform is used to read the .tiff format thermal image obtained in step S12. The wall background temperature threshold is set at 25°C, and areas 2.5°C below this threshold (i.e., 22.5°C) are defined as the initial cold spot identification zone. Using a pixel gradient and regional contrast enhancement algorithm, the cold spot boundary gradient threshold is set at ±1.5°C / pixel to extract the edges of areas with sudden temperature changes. Cold spot feature identification further utilizes connected component analysis, requiring each cold spot to have a minimum area of ​​no less than 300 px² (corresponding to an actual area of ​​0.02 m²) and a centroid distribution density of no less than 2 per square meter. All areas meeting the criteria are labeled as cold spots, indexed by coordinates in the image, and a cold spot identification result file (.json format) is output, containing the cold spot center coordinates, area, and boundary temperature change value.

[0035] Step S14: calculating the cold spot distribution density according to the cold spot characteristics; In this embodiment, the cold spot coordinates output in step S13 are aligned with the wall point cloud coordinate system in step S11, and registration of the infrared image to the 3D structural data is completed using a coordinate transformation matrix (4×4 homogeneous matrix). The curtain wall surface is divided into a grid of equal-area cells, each with an area of ​​0.5 m². The number of cold spots in each grid cell is counted. The cold spot density is calculated using the formula: ρ = N / A, where ρ is the cold spot density (number / m²), N is the number of cold spots in each grid cell, and A is the grid area (i.e., 0.5 m²). A histogram analysis is performed on the ρ values ​​of all grid cells. The threshold for cold spot density is set to ρ ≥ 3 / m². Based on this criterion, high-density cold spots are identified, and a distribution table containing the grid cell numbers and their cold spot densities is output (.csv format).

[0036] Step S15: determining the honeycomb surface area of ​​the wall based on the cold spot distribution density, and obtaining honeycomb surface area data; In this embodiment, the coordinates of the dense cold spot distribution grid in step S14 are read and mapped to the three-dimensional structural model of the curtain wall. A voxel filling method is used to interpolate and model the continuous structure surrounding the high-density grid area to determine whether it is located in an abnormal area on the structural surface. The specific method is to expand the search radius of adjacent voxel blocks with a radius of 500 mm around each calibrated cold spot grid. The honeycomb surface identification parameters are set to: thermal image temperature difference ≥ 2.5°C, point cloud height fluctuation Ra value ≥ 60 µm, and depth of depression ≥ 3 mm. A visual inspection algorithm is used for cross-validation, and the final output is a set of three-dimensional coordinates of the honeycomb surface area. This data is stored in .STL format to guide subsequent wall repairs.

[0037] Step S16: Repairing the wall structure based on the honeycomb surface area data to obtain a repaired wall structure of the thermal insulation curtain wall.

[0038] In this embodiment, a local wall repair task path is generated based on the three-dimensional coordinate set of the honeycombed surface area output in step S15. Before repair, a high-pressure water gun (nozzle pressure not less than 12 MPa) is used to remove surface dust and loose layers, with the water spraying time controlled to 30 seconds per square meter. After drying, a polymer repair mortar (water-cement ratio of 0.35, compressive strength ≥ 20 MPa) is used for layered patching. The first layer thickness is controlled to be 3 mm, and the second layer is applied after an interval of 4 hours. The second layer thickness is ≤ 7 mm, and the total thickness does not exceed 10 mm. A stainless steel spatula is used for construction, with cross-cutting and smoothing to achieve a dense coverage. A 2-meter ruler is used to check for smoothness, with an error of no more than ± 2 mm. After 72 hours of hardening, a rebound hammer is used to test the strength. A rebound value of no less than 22 is used as the standard for confirming the completion of the structural repair, ultimately forming the insulated curtain wall repair wall structure.

[0039] Preferably, step S16 is specifically as follows: Step S161: dividing the severely defective area based on the honeycomb surface area data to obtain a mild defect area, a moderate defect area, and a severe defect area; In this embodiment, the three-dimensional coordinate data of the honeycomb surface area is read and combined with the temperature difference value of the thermal image, the depth of the point cloud depression and the surface roughness index to perform a comprehensive classification. Specifically, the following three parameter indicators are used as the classification basis: (1) the infrared thermal image temperature difference value ΔT, mild defects are defined as 1.5℃≤ΔT<2.5℃, moderate defects are 2.5℃≤ΔT<3.5℃, and severe defects are ΔT≥3.5℃; (2) the point cloud height difference range Ra, mild defects are defined as Ra<50μm, moderate defects are defined as 50μm≤Ra<100μm, and severe defects are defined as Ra≥100μm; (3) the depression depth D, mild defects are defined as D<2mm, moderate defects are defined as 2mm≤D<5mm, and severe defects are defined as D≥5mm. A three-index weighted scoring method was used, assigning a weight of 0.4 to the thermal image's ΔT, 0.3 to Ra, and 0.3 to D. This resulted in a unified score of S = 0.4 × ΔTnorm + 0.3 × Ranorm + 0.3 × Dnorm (with all sub-items normalized). The score range was set to 0–1, with mild defects defined as S ≤ 0.4, moderate defects as 0.4 < S ≤ 0.7, and severe defects as S > 0.7. The final output was a labeled defect area map (in vector format .shp), along with a table of defect levels for each area (in .csv format).

[0040] Step S162: performing surface plaster repair simulation based on the light defect area to obtain surface plaster repair data; In this embodiment, the coordinates of all minor defect areas are extracted from step S161, and the surface plaster repair range is fitted and modeled based on the three-dimensional model. The thickness of the plaster repair layer is uniformly set to no more than 3 mm. A steady-state thermal conductivity simulation of the heat conduction boundary of this region is performed using the finite difference method. The thermal conductivity coefficient is set to 0.87 W / (m·K) (corresponding to ordinary cement mortar material) and the internal and external temperature difference is set to 15°C. The simulation determines the effect of the repair layer thickness on the heat flux variation to ensure that no secondary thermal anomalies occur. In the simulation platform, the simulation area is set to a length of L = 500 mm, a width of W = 500 mm, and a height equal to the plaster layer thickness. Each cell is divided into a 10×10×3 grid. The steady-state temperature distribution and heat flux distribution are simulated and calculated, and a plaster repair data table (including parameters such as heat flux density, thickness distribution, and material consistency) is output. Finally, information such as the plaster thickness range, construction angle, and the coordinate area to be covered is obtained and saved as .dxf format layer data for subsequent use by the construction control module.

[0041] Step S163: performing loose layer elimination according to the moderate defect area to obtain loose layer elimination data, and performing mortar filling simulation based on the loose layer elimination data to obtain mortar filling data; In this embodiment, the coordinate data corresponding to the moderate defect area is extracted, and the loose layer removal operation is performed based on the three-dimensional point cloud height difference Ra value and the removal depth standard. An angle grinder is used with a 50 mm diameter silicon carbide saw blade for mechanical removal. The removal depth is set within the range of 5 mm ± 0.5 mm, and the removal range is controlled to exceed the boundary of the defect area by no less than 30 mm to ensure thorough removal. Before the operation, the wall is divided into partitions and positioned in a grid. The removal boundary is calibrated using a laser marking instrument. The coordinates and depth data of each removal area are recorded. After removal, it is scanned again with a laser rangefinder to confirm that the flatness after removal is no higher than ± 2 mm, and the removal depth data is recorded (.txt format). Subsequently, polymer cement mortar is used for filling. The mortar thickness is controlled at 3~5 mm. The filling area is divided and numbered according to the original grid. The filling is done by layered scraping, with each layer not exceeding 2 mm, and the interval is at least 3 hours. The thermal balance performance of the filling area is verified through heat conduction simulation, and the filling layer thickness, density, and thermal conductivity data are output to form a mortar filling data table (.csv format) and 3D model repair data (.obj format).

[0042] Step S164: Perform structural reinforcement processing according to the serious defect area to obtain structural reinforcement data; In this example, structural reinforcement is performed on severely defective areas. First, the coordinates of severely defective areas with an S score greater than 0.7 in the S161 results are calibrated. Combined with the original curtain wall structural layout drawings, the coordinates are determined to determine whether they are located near major load-bearing skeleton nodes. If located in non-load-bearing areas, reinforcement is implemented using anchor bolts combined with a metal backing plate. If located in load-bearing node areas, chemical anchor bolts are used in conjunction with a wire mesh reinforcement layer. Anchor bolts are M10 stainless steel expansion bolts, buried at a depth of at least 80 mm, with bolt spacing set at 300 mm x 300 mm. The wire mesh is a 4 mm diameter, 50 mm x 50 mm mesh, and the edges of the mesh are anchored into the wall at a depth of at least 50 mm. The reinforced area is then wrapped with a high-strength polymer mortar layer with a thickness of at least 8 mm. During the reinforcement process, a laser scanner is used to gradually collect three-dimensional data of the reinforced layer and compare it with the original defective area. The parameters such as the change in three-dimensional coordinates, layer thickness, attachment area, and anchoring depth after reinforcement are recorded to form a structural reinforcement data table and three-dimensional repair drawings (in .xlsx and .stl formats respectively).

[0043] Step S165: Integrate the surface plaster repair data, mortar filling data, and structural reinforcement data to obtain the insulation curtain wall repair wall structure.

[0044] In this embodiment, the surface plaster repair data in step S162, the mortar filling data in step S163, and the structural reinforcement data in step S164 are integrated into a unified coordinate system. A three-dimensional structure integration platform is used to merge models using a unified global XYZ coordinate standard to ensure that each repair area has no conflicting positions in space. During the integration process, the minimum overlap accuracy is set to 1 mm, the boundary areas are Boolean merged, and a volume fusion algorithm is used to eliminate polygon overlap between adjacent areas. A one-time simulation analysis is performed on the integrated wall structure, including load uniformity detection, thermal resistance continuity analysis, and surface flatness reconstruction. The detection parameters are node stress ≤1 MPa, thermal resistance continuity deviation ≤10%, and surface convexity error ≤±2 mm. Finally, unified insulation curtain wall repair wall structure data is formed and output as a .ifc format building information model file and a .pdf repair project structure blueprint. The types and numbers of all repair areas are marked for use in construction drawings and final acceptance.

[0045] Preferably, step S2 is specifically as follows: Step S21: setting embedded connectors based on the thermal insulation curtain wall repair wall structure, marking the reserved anchor hole coordinates, and generating anchor hole instructions; In this embodiment, the location of embedded connectors was set using a Building Information Modeling (BIM) system based on the structural model of the repaired insulated curtain wall. The connectors were L-shaped stainless steel embedded parts with side lengths of 150 mm and 100 mm, a thickness of 8 mm, and a through hole with a diameter of 12 mm, with the center of the hole at least 25 mm from the edge. In the wall plan, the spacing between connectors should not exceed 600 mm horizontally and 800 mm vertically. The specific layout coordinates were determined based on the curtain wall grid design and load transfer path. The coordinates were uniformly converted to absolute coordinates in the wall coordinate system (in millimeters, with three decimal places). Each embedded part was assigned a corresponding set of anchor hole coordinates (X, Y, Z). These coordinates were exported to a .csv file using the BIM system. Furthermore, the connector numbering scheme was set to "LJ + floor number + X + Y," such as "LJ03-2400-3600," and each was mapped to the anchor hole coordinate data. Finally, an anchor hole drilling instruction file is generated, which includes the drilling depth (not less than 100 mm), hole diameter (14 mm), hole wall cleaning method (using an air pump + brush), and anti-rust grouting parameters (such as grouting pressure 0.25 MPa, material consistency value, etc.), and is output in the format of a .json instruction set.

[0046] Step S22: screening the anchorable area of ​​the thermal insulation curtain wall repair wall structure according to the anchor hole instruction to obtain anchorable area data; In this embodiment, the anchor hole coordinates generated in step S21 and the three-dimensional repair structure model of the wall are read, and a three-dimensional collision detection algorithm (AABB bounding box method) is used to screen the drillability of each anchor coordinate in the wall model. The specific detection includes the following three criteria: first, the center point of the anchor hole must be no less than 40 mm away from the thickness boundary of the repair surface to prevent it from approaching the hollow layer or crack area of ​​the wall after drilling; second, the angle between the drilling axis and the wall normal is less than 5° to ensure vertical force transmission; third, the drilling path must not pass through the heterogeneous filling material area inside the wall (screening is performed based on the material identification layer constructed based on the mortar filling data and the reinforcement material model). During the detection process, the drilling axis is discretized at a spacing of 0.1 mm, and the material identification matrix in three-dimensional space is used to determine the material properties corresponding to each node. The drilling coordinates that meet all the conditions are recorded as anchorable points, output as a .shp vector layer file, and a coordinate list (.csv) is exported. Each record contains the drilling number, starting coordinates, drilling depth, hole diameter, and drilling axial unit vector (such as (0, 0, )).

[0047] Step S23: generating a curtain wall keel construction path based on the anchorable area data; In this embodiment, the anchorage area data from step S22 is read and the stud path is planned on a two-dimensional plan according to the curtain wall module. Curtain wall panels adopt a modular size of 600 mm × 1200 mm, and the path is connected based on the density of anchorage points. Horizontal studs are placed at the bottom and mid-height of each panel layer, and vertical studs are placed on the left side of each column of panels, forming a horizontal and vertical stud support framework. Path generation uses a dynamic connectivity graph method, with a minimum continuous stud length of 1000 mm and a maximum node spacing of 600 mm. Node offsets of no more than 10 mm are allowed to accommodate anchor hole coordinate errors. The resulting curtain wall stud path includes the starting and ending coordinates of beams and columns, centerline vectors, and interface point coordinates. The path data is recorded as a .dxf structural drawing, and a stud number table (numbering format: GL+direction+sequence number, such as GL-H03 and GL-V04) and a path connectivity matrix (used for subsequent construction robot path planning and control) are also output.

[0048] Step S24: Install the embedded parts according to the curtain wall keel construction path to obtain the curtain wall keel embedded parts data; In this embodiment, according to the keel construction path generated in step S23, the corresponding embedded part installation operation is set for each connection node. Use a laser projector (accuracy ±1 mm) to project the anchor point coordinates onto the wall surface and mark the installation point. Subsequently, a drilling device is used to drill a pilot hole at the marked position with a hole diameter of 10 mm and a drilling depth of 20 mm for positioning the embedded part screw. During the installation process, a level ruler and an inclinometer are used to ensure that the vertical angles on both sides of the embedded part are controlled within the range of 90°±0.5°, and the anchoring direction error does not exceed 2°. The embedded parts are fastened with mechanical anchor bolts, the anchor bolt model is M10, and the hole depth is 100 mm. The hole wall is cleaned three times alternately with a wire brush and a hair dryer to ensure the grouting bonding performance. Finally, the actual installation coordinates, angle, anchor depth and connected keel number of each embedded part are recorded to form the curtain wall keel embedded part data (.csv format and structure vector layer format) for subsequent drilling and installation processes.

[0049] Step S25: Drill anchor holes based on the curtain wall keel embedded part data to obtain curtain wall keel data; In this embodiment, anchor hole drilling is performed based on the coordinates of the curtain wall stud embedded components and the corresponding stud orientation recorded in step S24. A 14 mm diameter carbide drill bit is used, with a drilling depth set to 110 mm. Each drilling depth should not exceed 10 mm, and chip removal is performed in sections to prevent thermal expansion from damaging the hole wall. The drilling process is performed using a high-precision CNC drill rig with a laser guide device to ensure that the drilling axis error does not exceed ±1°. Immediately after drilling, the hole is cleaned three times with a steel brush and twice with an air pump. Grouting is then performed using a two-component epoxy resin mortar at a controlled rate of 0.1 L / s, with a setting time of approximately 24 hours. After drilling, each hole is photographed for evidence and depth back-measured. The hole diameter, depth, angle, stud number, grouting number used, and grouting volume are recorded. The data is then compiled into a comparison table (.xlsx format) with the construction drawings (.pdf format) for subsequent stud welding and thermal simulation.

[0050] Step S26: Perform high temperature simulation based on the curtain wall keel data to obtain high temperature expansion data of the curtain wall keel.

[0051] In this embodiment, based on the three-dimensional data model of the curtain wall keel established in step S25, a high temperature simulation is performed on the curtain wall keel structure. The keel material is set to Q235B steel, and the thermal expansion coefficient is The simulated temperature field was set to increase linearly between 25°C and 80°C, with a simulation step of 5°C. Using ANSYS or an equivalent finite element simulation platform, the 3D keel geometry was discretized into 1 cm³ equivalent volume elements, and a thermal-structural coupling relationship was established between the nodes. Fixed constraints were set at each connection node, and the thermal boundary condition was a convection boundary (convection coefficient h = 15 W / m²·K, ambient temperature T∞ = 80°C). The simulation results were recorded as the linear expansion value ΔL = α × L × ΔT for each keel segment, where L is the original length. The thermal displacement vectors, thermal stress distributions, connection end gap changes, and angular deviations at each node were compiled into high-temperature expansion data for the curtain wall keel. Output files included .node (node ​​displacement), .res (thermal stress results), .xls (position offset statistics), and a high-temperature simulation image report (.png format) for subsequent component movable connection structural adjustments.

[0052] Preferably, step S23 is specifically as follows: Step S231: evaluating the wall strength of the anchorable area based on the anchorable area data; In this embodiment, after completing the screening of anchorage areas, a quantitative assessment of the wall material strength in each anchorage point area is required. First, a digital rebound tester is used to collect rebound values ​​from the wall. The measurement points are arranged as follows: 9 points are placed in each anchorage area in a 3×3 grid, with a spacing of 100 mm between points. After obtaining the rebound values, the concrete strength is converted according to the "Technical Specification for Concrete Rebound Testing" (JGJ / T 23-2011). If the wall is a concrete structure, its compressive strength value (in MPa) is determined according to the rebound value and concrete grade conversion table. The data requirement is that the standard deviation of the converted values ​​for each area should not exceed 2 MPa. If the wall is a masonry structure, a penetration strength tester is used to measure the penetration depth. The load at each point is 5 kN, and the measurement depth must not be less than 15 mm. The representative strength value of the area is obtained by the average value of the measuring points in the area and recorded in an Excel table, including point number, coordinates, test type, test equipment, loading force, measurement value and conversion result, and imported into the curtain wall database for subsequent anchor depth setting.

[0053] Step S232: determining the anchoring depth according to the wall strength of the anchorable area; In this embodiment, the anchorage depth is quantitatively calculated based on the wall strength data obtained in step S231. The anchorage depth is set according to the anchorage bearing capacity formula in the "Technical Specification for Building Curtain Wall Engineering" (JGJ 102-2003): N = f × A / γ, where N is the pullout bearing capacity requirement (design value is 2.5 kN), f is the compressive strength of the wall material (in MPa), A is the anchorage area, and γ is the safety factor (set as 2.0). Given the diameter of each anchor (e.g., an M10 screw with a diameter of 10 mm), the corresponding anchorage depth can be calculated as A = π × d² / 4. Substituting these parameters, the minimum anchorage depth L that satisfies the condition of N ≥ 2.5 kN is calculated. For walls of different strength grades, such as concrete strength C20 (f = 10 MPa), the anchorage depth is calculated as L = (N × γ) / (π × d × f) ≈ 100 mm. Finally, the anchor depth of each anchorable point is marked in the Excel table in mm, and the output is a data table (.csv format) containing coordinates, wall type, strength value, screw type and minimum anchor depth for use in the next step of anchor type setting.

[0054] Step S233: setting the anchor type based on the anchor depth; In this embodiment, based on the anchoring depth calculated in step S232, standard anchor types are configured according to different depth ranges. The anchor selection refers to the "Technical Specifications for the Application of Metal Anchors" (JGJ 145-2013), which are classified as follows: when the anchoring depth is ≤ 90 mm, chemical anchors (such as M10×90, implantable epoxy resin infusion) are selected; when 90 mm<L≤130 mm,选用金属膨胀锚栓(如M10×120,机械锁固结构);当锚固深度> If the anchor diameter is 130 mm, a self-tapping anchor screw (such as M10×160 with a reinforced wing at the end) should be used. When selecting anchors, specific parameters such as screw diameter, thread type (full or partial thread), material (such as 304 stainless steel), implantation method (mechanical or chemical), total screw length, anchoring section length, and effective load-bearing section length should be recorded. Create an anchor point layer in AutoCAD, labeling each anchor point with its corresponding anchor number and parameter description. Simultaneously, create an anchor type field in the structural database, linking it to the coordinate index to achieve coordinated management of the structural model and anchor data.

[0055] Step S234: designing a keel connection method according to the anchor type; In this embodiment, after the anchor type is determined, the keel connection method is designed based on its structural characteristics. For chemical anchor bolt connections, angle steel (e.g., L50×50×5) and screw through-hole connections are used. A flat washer (φ22 mm) and spring washer combination are required at the connection point, and the nut tightening torque is controlled at 35 N·m. For metal expansion anchor bolt connections, an anchor plate (60 mm×60 mm×6 mm) is installed at the end of the angle steel and a centering screw hole is opened. The anchor is then secured by welding before being installed. If self-tapping screws are used, the connecting member is a C-channel steel (60 mm×30 mm×3 mm). The screw is self-tapping and screwed into the connecting plate, and reinforced with ribs. All connection methods require a 90°±0.5° angle between the connection surface and the keel axis. A vernier ruler and magnetic locator are used to ensure installation accuracy. The connection structure drawings are created separately in CAD to form a standard connection component library, and a summary table of connection methods (including interface type, material thickness, welding method, connection bolt specifications, etc.) is output for building the keel path logic.

[0056] Step S235: Generate a curtain wall keel construction path based on the keel connection method.

[0057] In this embodiment, the keel construction path is planned based on the connection method in step S234, taking into account the coordinates of the pre-embedded wall anchors, the curtain wall module, the structural force path, and the keel connection constraints. A constrained shortest path algorithm from graph theory is used to construct a connection graph. Each anchorable point serves as a graph node, and the edge weight is a weighted function of the path length and the connection structure complexity, W = L + K × C (L is the straight-line distance between nodes, K is the complexity coefficient, and C is the connection method score, ranging from 0 to 1, with higher values ​​indicating more complex connections). During the path generation process, no two keel paths are allowed to intersect, and the shortest connection path length must not be less than 500 mm to avoid redundant connections. Horizontal and vertical keels are arranged according to the panel module size (600 mm × 1200 mm), and a cross-bracing structure is provided in the middle layer to share the load. The keel path is output as a vector structural line .dxf layer file. Each path segment is accompanied by the connection type, keel number, connection point number, and connection method number. At the same time, the path segment length, connection type, connection node ID, and bolt arrangement information table are exported in .csv format to provide direct data support for subsequent structural assembly, component manufacturing, and welding operations.

[0058] Preferably, step S3 is specifically: Step S31: extracting the linear expansion coefficient of the keel material and the keel material quality change data based on the curtain wall keel high temperature expansion data; calculating the material thermal expansion length according to the linear expansion coefficient of the keel material and the keel material quality change data; In this embodiment, after the curtain wall keel material is determined, data extraction of its thermal expansion characteristics in a high temperature environment is performed. First, the keel material used (metal material such as 6061-T6 aluminum alloy or Q235B steel) is placed in a high temperature environment for a heat treatment experiment. A constant temperature box (model DZF-6210, temperature range from room temperature to 300°C) is used to heat the standard sample (500 mm long, 30 mm × 50 mm cross-section). The temperature distribution gradient is set to 25°C, 50°C, 75°C, 100°C, 125°C, and 150°C, a total of six levels, each lasting 1 hour. A thermocouple is used to monitor the sample temperature in real time to ensure that the error does not exceed ±1°C. During the temperature rise process, a laser displacement sensor (such as Keyence LK-G152) is used to record the thermal expansion length change ΔL of the keel in the length direction, and the linear expansion coefficient is calculated. , where L0 is the initial length (500mm) and ΔT is the temperature difference. For 6061-T6 aluminum alloy, the measured linear expansion coefficient is ; For Q235B steel, the measured value is A universal material testing machine (such as the Instron 3382) is used simultaneously to test the yield strength change at high temperatures and record the rate of change of the material's yield limit at different temperatures. The result table includes temperature, yield strength, Young's modulus, and elongation, providing the necessary parameters for subsequent calculation of thermal expansion length.

[0059] Step S32: Designing a connection gap reserve according to the material thermal expansion length; and designing a sliding node based on the connection gap reserve; In this embodiment, the thermal expansion length of the keel material is calculated based on the linear expansion coefficient and high temperature change conditions obtained in step S31. Formula , where L0 is the curtain wall unit keel length (e.g. 2400 mm), α is the material linear expansion coefficient, and ΔT is the temperature difference (set according to the extreme temperature difference of the exterior wall, which is 60°C). Taking 6061-T6 aluminum alloy as an example, the thermal expansion length is . According to the calculation results of the thermal expansion length, the reserved connection gap needs to be 10% greater than the thermal expansion length, that is, the gap is set to 3.8 mm. In order to realize the function of the gap, a sliding node structure is designed. The structure adopts a stainless steel slide (length 120 mm, slot width 8 mm). The keel end is embedded in the slide and connected to the T-shaped sliding pad by bolts. The screw hole diameter is M10, and the long hole is designed to be 10 mm × 20 mm, allowing linear sliding in the direction of thermal expansion. EPDM rubber gaskets are added to the sliding node to absorb small vibrations and elastically compensate for gaps. The assembly order of the sliding structure is: slide → T-shaped pad → keel end → bolt tightening → rubber pad → limit plate.

[0060] Step S33: Integrate the connection gap reserve and the sliding node to obtain the keel connection deformation space; In this embodiment, after the connection gap reserve and the sliding node parameters are determined, the two are combined to form the keel connection deformation space. First, a three-dimensional model of the keel connection section is established to calibrate the movable boundary in the direction of thermal expansion. The gap reserve is 3.8 mm, and the sliding node design allows a sliding stroke of 10 mm. Considering the actual assembly error of the structure and the maximum superposition of thermal expansion, the keel connection deformation space is set to 6.5 mm. This value is composed of the following: thermal expansion design value of 3.4 mm, construction error tolerance of 1.5 mm, and rubber pad deformation allowance of 1.6 mm. A steel ruler is used to measure the movable range of the slide trough and the pad to confirm that the connection structure has an effective deformation stroke of 6.5 mm after installation. This space is defined as a "connection active cavity" in the three-dimensional CAD model for subsequent lateral and vertical deformation analysis, and for the imposition of structural stability boundaries.

[0061] Step S34: calculating the lateral deformation based on the keel connection deformation space; configuring the lateral sliding structure according to the lateral deformation; In this embodiment, the lateral deformation is calculated based on the keel connection deformation space defined in step S33. Assuming that the curtain wall unit experiences non-uniform thermal expansion due to a temperature difference on one side, lateral displacement is concentrated at the end of the vertical keel. Assuming a connection spacing of 2400 mm, the thermal expansion differential between the left and right ends is ±1.2 mm, resulting in a total lateral deformation of ΔX = 2.4 mm. To compensate for this lateral displacement, a lateral sliding structure is configured. This structure utilizes a dual-track, 10 mm wide, 8 mm thick slider made of PTFE (polytetrafluoroethylene). The slide rails are aluminum alloy slotted guide rails with stoppers and a lubricating coating. Each slider supports a lateral sliding range of 5 mm, with a margin of 2 × ΔX to meet structural stability requirements. The sliding structure is positioned midway between the vertical keel and the curtain wall back support and secured with four M8 stainless steel bolts spaced 50 mm apart. The lateral guide rails are laser cut and anodized, with a surface roughness of Ra 1.6 or less to ensure smooth sliding.

[0062] Step S35: Calculating the vertical settlement based on the keel connection deformation space; configuring the elastic support structure according to the vertical settlement; In this embodiment, the vertical settlement is calculated based on the deformation space of the keel connection in step S33. The maximum length of the keel is set to 4800 mm, the temperature difference during double-layer installation is set to 80°C, and the linear expansion coefficient is , vertical deformation due to thermal expansion . Taking into account the additional amount of long-term settlement (such as the creep settlement of the support, estimated at 3 mm), the total vertical deformation is set to 12.1 mm. In order to absorb this settlement, an elastic support structure is set at the bottom of the keel. The structure adopts a combination of laminated rubber pads + stainless steel reinforcement plates. The rubber pad is 15 mm thick, with a Shore hardness of 65A, a maximum compression deformation of 20 mm, and a vertical compression modulus controlled within 1.2 MPa. The support is installed between the supporting platform at the bottom end of the keel and the concrete pedestal. It is fixed with a steel positioning groove and prevented from falling off by a four-way limit structure (the preload force is set to 1.5 kN). After installation, a dial indicator is used to monitor the vertical elastic deformation to verify the expected deformation absorption capacity.

[0063] Step S36: Structural integration is performed based on the transverse sliding structure and the elastic support structure to obtain a curtain wall connection movable structure; In this embodiment, after the lateral sliding structure and vertical elastic support structure are configured, the curtain wall connection structure is integrated. The bidirectional displacement assembly is integrated into the standard curtain wall component connection node, with the node connection component's total dimensions set to 120 mm × 120 mm × 50 mm. A layered assembly process is employed: the first layer is the vertical support, the second layer is the sliding guide base, the third layer is the slider and keel connection plate, the fourth layer is the limit cover plate, and the top is a stainless steel cover. All screw connections use M10 expansion bolts, with the installation torque set to 38 N·m. The assembly sequence and connection torque comply with the relevant standards of the "Curtain Wall Installation Specification." After assembly, a biaxial loading test is conducted on a test bench with loading levels of ±5 mm slip and ±10 mm vertical settlement to verify deformation coordination performance. The final structure number is recorded in the curtain wall component database and matched one-to-one with the panel module node.

[0064] Step S37: Integrate the curtain wall connecting movable structure into the thermal insulation curtain wall repair wall structure to obtain the thermal insulation curtain wall optimized structure.

[0065] In this embodiment, the integrated curtain wall connection movable structure is assembled into the repair wall structure of the insulated curtain wall, performing an overall optimization integration process. First, the surface is leveled and the anchor plates are installed on the repair wall (refer to the anchor construction path described above). Each movable structure placement point is verified for panel modulus, joint width, and installation axis deviation (controlled within ±1.5 mm). The movable structure's center is located using a laser level and a high-precision plumb line (with an accuracy of no less than ±0.2 mm / m). The assembled movable structure is then installed at the anchor point using a modular hoisting method. Thermal insulation gaskets (8 mm thick, with a thermal conductivity of 0.035 W / m·K) are placed between the movable structure and the insulation layer to reduce heat conduction paths. After assembly, structural adhesive is applied to the joints, maintaining a thickness of 5 mm and a compaction depth of 10 mm, completing the integrated closure of the curtain wall and repair wall. The entire installation process is numbered according to standard procedures, and construction records are output as complete atlases and database entries for the optimized curtain wall structure.

[0066] Preferably, step S34 is specifically as follows: Step S341: Calculating the lateral deformation based on the keel connection deformation space; In this embodiment, the size of the keel connection deformation space is determined by the length of the connection active cavity and the gap reserve measured in the previous step. This space includes the displacement caused by thermal expansion and the accumulated construction and assembly errors. When calculating, first determine the maximum length L of the curtain wall keel (for example, 2400 mm), and use the linear expansion coefficient α of the material used (for example, 6061-T6 aluminum alloy). ) and temperature difference ΔT (the extreme temperature difference is set at 60°C), and the thermal expansion length is calculated according to the formula ΔL = L × α × ΔT. Assuming a thermal expansion length of 3.4 mm, combined with a structural assembly error tolerance of 1.5 mm and a deviation of 1.6 mm from on-site inspection, the cumulative lateral deformation ΔX is 6.5 mm. This value is confirmed using a steel ruler measurement and a laser displacement sensor. The laser sensor has a resolution of 0.01 mm and a measurement error of no more than ±0.02 mm, ensuring the accuracy of the deformation calculation. This lateral deformation represents the total sliding space required by the keel at the connection node due to thermal expansion and assembly errors, and serves as a key input parameter for the subsequent sliding structure design.

[0067] Step S342: Calculating the sliding margin according to the lateral deformation; In this embodiment, the sliding margin is defined as the difference between the maximum allowable sliding distance of the actual sliding structure and the calculated lateral deformation. The lateral deformation ΔX calculated in step S341 is 6.5 mm. When designing the sliding structure, additional margin must be considered to account for minor deformation and material wear during long-term use. This margin is set in accordance with the "Code for Design of Building Curtain Walls" JGJ102-2016 and industry standards, taking 20% ​​of the lateral deformation as the margin, i.e., margin ΔY = ΔX × 0.2 = 1.3 mm. The total sliding stroke of the sliding structure is designed to be L_s = ΔX + ΔY = 7.8 mm. This margin ensures that the sliding components can operate without overloading, and the slide rail length and slider dimensions of the sliding assembly are determined accordingly. During measurement, the test specimen is subjected to a load-unload cycle using a linear displacement meter. The maximum slip value and the actual slip margin are recorded to confirm that the design margin meets the durability requirements specified in the technical specifications.

[0068] Step S343: performing sliding structure parameter matching based on the sliding margin to obtain sliding structure configuration data; In this embodiment, the sliding structure parameters are matched based on the total sliding stroke L_s of 7.8 mm determined in step S342. The matching process first determines the length of the slide rail. The length L_track is set to twice the sliding stroke, L_track = 15.6 mm, to ensure sufficient guiding stability. The rail width is set to 10 mm and the thickness is 6 mm. The material is anodized aluminum alloy with a surface hardness of HV 180 or higher to improve wear resistance. The slider dimensions are determined based on the cross-sectional dimensions of the keel and the rail: 20 mm in length, 12 mm in width, and 5 mm in thickness. The slider is made of polytetrafluoroethylene (PTFE) with a friction coefficient below 0.05. The accompanying spring washer is designed with a hardness of 65A and a thickness of 3 mm to ensure the preload force of the sliding structure and eliminate gap vibration. All parameters are specified in accordance with the "Technical Specifications for Sliding Connections of Building Curtain Walls." The mounting holes between the rail and slider are 50 mm apart and connected using M8 stainless steel bolts with a torque setting of 35 N·m. The configuration data is recorded in the form of structural dimensions, material type, preload force and connector specifications to form a sliding structure design parameter table.

[0069] Step S344: selecting a sliding component according to the sliding structure configuration data, thereby obtaining sliding component data; In this embodiment, based on the sliding structure configuration data of step S343, a sliding assembly that meets the design parameters is screened from the standard curtain wall sliding assembly library. The assembly library covers a variety of slide rail-slider combinations, and the model number is marked with the slide rail length, width, material and slider load capacity. According to the requirements of configuring the slide rail length to be 15.6 mm, the width to be 10 mm, the slider material to be PTFE, and the load capacity to be ≥500 N, the sliding assembly with the model number "AL-TS10-PTFE-20" is selected. The sliding assembly includes a slide rail body, a slider, a spring washer and fasteners. The installation interface dimensions strictly correspond to the reserved holes of the keel connection node, with a hole diameter of 10.5 mm and a hole spacing of 50 mm. The sliding assembly is pre-assembled in the factory, the slide rail surface is anodized, and the slider is processed for wear and corrosion resistance. The sliding assembly data includes the component model, size, material performance parameters, rated load and installation instructions. The data is linked to the curtain wall construction quality management system by scanning the QR code, which is convenient for on-site retrieval and traceability.

[0070] Step S345: performing connection integration according to the sliding component data to obtain a transverse sliding structure.

[0071] In this embodiment, the connection and integration of the transverse sliding structure are completed based on the sliding component model and specifications selected in step S344. The specific connection process is as follows: The slide rail is positioned in the connection groove reserved on the side of the keel, with a groove width of 12 mm and a depth of 8 mm. The slide rail is secured with M8×30 ​​mm stainless steel bolts, and the tightening torque is set to 35 N·m. The slider is assembled into the slide rail to ensure smooth sliding within the rail. A spring washer is installed at the bottom of the slider to provide preload. After the connector is installed, the clearance between the slide rail and the slider is measured using a micrometer and a digital displacement gauge. The clearance is controlled within 0.1 mm to ensure smooth sliding and no lateral shake. After assembly, a maximum lateral displacement of 7.8 mm is applied on a standard test bench, and the sliding performance and connection tightness are tested 1000 times. The completed transverse sliding structure has complete mechanical connection and sliding functions and is numbered and archived as a key component of the integral connected movable structure of the thermal insulation curtain wall.

[0072] Preferably, step S35 is specifically as follows: Step S351: Calculating vertical settlement based on the keel connection deformation space; In this embodiment, the calculation of vertical settlement is based on the structural geometric parameters of the keel connection and the settlement monitoring data of the construction site. First, the deformation space dimensions at the curtain wall keel connection node are collected, and the vertical gap dimensions of the node are obtained by a laser rangefinder with an accuracy of ±0.05 mm. Combined with the base settlement monitoring data, an electronic level is used to measure the cumulative settlement ΔH of the base during construction and use. The measurement frequency is once every 24 hours, and the data is averaged over three consecutive days to eliminate accidental errors. Assuming that the base settlement is 2.3 mm, combined with the initial reserved gap of 1.7 mm at the keel connection node, the vertical settlement is calculated as ΔV = ΔH - reserved gap, and the result is 0.6 mm. This vertical settlement represents the settlement deformation value of the actual connection node during operation and is an important input parameter for the subsequent elastic support design.

[0073] Step S352: performing settlement buffer demand analysis based on vertical settlement to obtain settlement buffer parameter data; In this embodiment, the settlement buffer demand analysis is performed based on the vertical settlement ΔV = 0.6 mm obtained in step S351. First, the required bearing capacity and compression stroke of the settlement buffer device are determined. According to the specifications for support design in the "Code for Design of Building Structures" GB50009-2012, the compression stroke of the settlement buffer must be at least 150% of the vertical settlement. The calculated buffer stroke is L_buffer = 0.6 mm × 1.5 = 0.9 mm. The bearing capacity of the buffer device is based on the design value of the keel load, assuming it is 500 N, and the maximum design working load is 600 N, with a 20% safety factor reserved. Based on the above data, the settlement buffer parameters include a buffer stroke of 0.9 mm, a maximum bearing capacity of 600 N, and a buffer stiffness K_buffer = maximum bearing capacity / buffer stroke = 666,667 N / m. A dedicated mechanical testing machine is used to measure the force-deformation curve of the buffer material to ensure that the buffer stiffness value is consistent with the design value. The settlement buffer parameters are specifically defined in the form of stroke, load, and stiffness, providing a basis for the design of elastic support response.

[0074] Step S353: performing elastic support response design based on the settlement buffer parameter data to obtain elastic response data; In this embodiment, the elastic support response design is based on the settlement buffer parameters, and a mechanical calculation method is used to determine the elastic deformation response of the support. Linear elasticity theory is used in the design, and the elastic support deformation δ is equal to the external force F divided by the elastic stiffness K, that is, δ = F / K. The design load F is taken as the maximum working load of 600 N, and the elastic stiffness K is 666,667 N / m. The calculated elastic deformation δ = 600 / 666,667 = 0.0009 m, or 0.9 mm, meets the buffer stroke requirements. The design also takes dynamic response into consideration, and simulates loading using an impact test bench. The loading frequency is set to 1 Hz, and the loading is repeated 5000 times to measure the deformation recovery capacity of the support. The elastic response data includes stiffness, maximum deformation, recovery rate, etc. All data are accurately measured using digital dynamometers and displacement gauges, with an error control within ±0.02 mm. Elastic support material parameters such as elastic modulus and fatigue strength are based on standard test report data to ensure that the design data is scientific and valid.

[0075] Step S354: Select the support structure according to the elastic response design data to obtain support configuration data; In this embodiment, the elastic response data obtained in step S353 is combined with the design load of the curtain wall and the size of the installation space to select an elastic support that meets the stiffness and deformation requirements. The model selected is "ES-600-0.9" elastic support, which has a maximum load capacity of 600 N, an allowable maximum elastic deformation of 0.9 mm, and an outer size of 50 mm x 50 mm x 15 mm. The support material is polyurethane elastomer, with an elastic modulus of 1.2 MPa and a compressive strength of 4 MPa. The mounting base of the support is made of galvanized steel plate with a thickness of 5 mm, a connection hole diameter of 10 mm, and a bolt hole distance of 40 mm. The surface of the support is treated for corrosion resistance, meeting the GB / T 18253-2000 standard. When selecting, refer to the product manual to confirm that the load capacity and deformation of the support match the design requirements, and compare the data of multiple models to ensure reasonable matching. The configuration data is recorded in the form of model, size, material parameters, maximum load, and mounting hole position.

[0076] Step S355: Node layout according to support configuration data, get elastic support structure.

[0077] In this embodiment, according to the elastic support configuration data determined in step S354, the elastic support is laid out on the curtain wall keel connection node. First, use a laser range finder and a total station to measure the actual space size of the connection node, and confirm that the installation space meets the support outer size of 50 x 50 x 15 mm. According to the node layout design drawing, the support layout interval is set to one node every 800 mm to ensure uniform load distribution. The hole diameter of each node is 10.2 mm, and the hole distance is 40 mm. The drilling equipment uses a high-precision numerical control drilling machine, and the hole position deviation is not more than ±0.1 mm. During installation, use M10 stainless steel expansion bolts for fixation, and the bolt torque is controlled at 40 N·m. After installation, use a digital pressure gauge and a micrometer to test the static load of the support, and confirm that the deformation is within the designed elastic range. Use the installation template during the node layout process to ensure accuracy, and all installation records are archived in detail to form a complete elastic support structure system, providing support for the subsequent overall connection of the curtain wall active structure.

[0078] Preferably, step S4 is specifically: Step S41: Heat flow conduction simulation based on the optimized structure of the thermal insulation curtain wall, to obtain heat flow conduction data; In this embodiment, the heat flow conduction simulation is based on the optimized thermal insulation curtain wall structure parameters, adopts the steady-state heat conduction analysis method, and is in accordance with the "Building Energy Saving Design Standard" GB 50176-2016. The thermal conductivity of each component is obtained by using thermal performance detection instruments, the thermal conductivity of the polyurethane foaming layer is 0.023 W / (m·K), the thermal conductivity of the aerogel coating is 0.013 W / (m·K), and the thermal conductivity of the keel metal material is 45 W / (m·K). The simulation adopts the layered finite difference method to divide the curtain wall section into grids, and the grid size is set to 5 mm × 5 mm to ensure the accuracy of the heat conduction details. The boundary conditions are set to indoor temperature 20℃, outdoor temperature -10℃, and heat transfer coefficients of 8 W / (m²·K) and 25 W / (m²·K) on both sides. The heat flux of each grid element is calculated point by point to obtain the heat flux density distribution data of each part of the curtain wall. During the calculation process, all input parameters are confirmed by measuring the material performance and on-site temperature and humidity data, the heat flow conduction data is accurately output in the form of W / m², and the data accuracy is kept to three decimal places.

[0079] Step S42: identifying the heat flow path according to the heat flow conduction data; In this embodiment, based on the heat flux density distribution data obtained in step S41, the heat flow path is identified by using the heat flux gradient analysis method. The heat flux density matrix is calculated in the direction gradient, the difference of the heat flux density of the adjacent grids is calculated, and the heat flow path is determined by using the maximum change direction of the heat flux density. The calculation formula uses a two-dimensional gradient operator, and the heat flow path is the connecting direction of the heat flow gradient vector. By calibrating the heat flow path, the heat flow concentration area and the diffusion area in the curtain wall structure are located. By using image processing tools, the heat flow path is drawn in the form of vector lines on the heat flow distribution diagram of the curtain wall section, the path line width is proportional to the heat flow intensity, the starting point of the path is located at the highest temperature on the outside, and the end point is located on the indoor side. All path identification processes are double-confirmed by automatic gradient operation and manual verification to ensure that the path accuracy error is not more than 5%.

[0080] Step S43: calculating the heat flow loss rate according to the heat flow path, and calibrating the heat energy vulnerable loss area based on the heat flow loss rate; In this embodiment, the calculation of heat flow loss rate is based on the ratio of heat flux density to total heat flow in each path segment of the heat flow path. The total heat flow is the integral value of all heat flux densities in the curtain wall section, with a unit of W / m². For each heat flow path segment, the percentage of heat flux density to total heat flow is calculated as the heat flow loss rate. The heat flow loss rate threshold is set to 10%, and the segments with a heat flow loss rate higher than this value are marked as heat energy loss-prone areas. This marking is completed by combining two-dimensional matrix heat flux density data with linear integration of the path. Numerical integration method is used to calculate the integral of heat flux density in the path segment, and the integral interval is determined by the path node coordinates. The boundaries of heat energy loss-prone areas are divided by numerical threshold to facilitate the subsequent targeted placement of thermal insulation materials. All calculation steps use standard numerical methods to ensure calculation accuracy and reproducibility.

[0081] Step S44: Divide the loss area based on the heat energy loss-prone area to obtain a high heat energy loss area and a low heat energy loss area; In this embodiment, the heat energy loss-prone area is further refined into high loss and low loss areas according to the marking results of step S43. The heat flux density values in the heat energy loss-prone area are stratified according to the heat flow loss rate threshold. The high loss area is defined as a continuous grid area with a heat flow loss rate greater than 20%, and the low loss area is an area with a heat flow loss rate between 10% and 20%. Spatial clustering algorithm is used to divide the grid data, with a clustering radius of 10 mm and a continuity requirement that the deviation of grid heat flux density values in the heat loss area does not exceed ±2%. The partitioning results are displayed in the form of color blocks using GIS drawing tools, with the high loss area marked in red and the low loss area marked in orange. After the division is completed, the area boundary coordinate file is output in DXF format for subsequent material positioning.

[0082] Step S45: Perform polyurethane foaming based on the high heat energy loss area to obtain a polyurethane foaming layer; In this embodiment, polyurethane foaming is based on the high loss area boundary determined in step S44, and a spraying device is used to uniformly cover the foaming material. The nozzle aperture of the spraying device is adjusted to 0.5 mm, the mixing ratio of the foaming agent is controlled to 1:1, and the foaming density is controlled to 40±2 kg / m³. The laying thickness is not less than 50 mm according to the design standard, and a three-layer spraying method is used, with each layer being about 16-17 mm thick. Each layer is sprayed and allowed to solidify for 30 minutes to ensure that the foam is dense and free of holes. The thickness of the foaming layer is measured by a laser range finder, with a measurement point spacing of 100 mm and an average thickness deviation of not more than ±1.5 mm. The environmental temperature during the laying process is controlled at 20±3°C, and the humidity is less than 60%, to ensure complete reaction of the foaming agent. After completion, infrared thermal imaging is used to detect the uniformity of the foaming layer to ensure that there is no cold bridge phenomenon.

[0083] Step S46: applying aerogel coating to the low heat loss area to obtain an aerogel coating; In this embodiment, aerogel coating is performed based on the boundary of the low-loss area, and a high-precision spraying robot is used to complete the coating layout. The coating thickness is controlled at 3 mm ± 0.3 mm, and the coating density is 150 ± 5 kg / m³. The coating material uses a water-based aerogel suspension with a solid content of 15%, a viscosity controlled at 120-150 cP, and a spraying pressure set to 0.8 MPa. The coating process is divided into three spraying steps, and each spraying is naturally air-dried for 15 minutes to ensure layer-by-layer adhesion. The coating thickness is detected in real time by an ultrasonic thickness gauge, and the data is fed back to the spraying system for automatic adjustment. After the coating is completed, the flatness of the coating surface is measured by a laser scanner, and the flatness error does not exceed 0.1 mm. A 2 mm interface width is reserved between the aerogel coating and the polyurethane foam layer, and a sealant is used for sealing to prevent thermal bridges on the interface. Step S47: Integrate the polyurethane foam layer and the aerogel coating to obtain a thermal insulation layer structure; In this embodiment, during the step of integrating the insulation layer structure, the polyurethane foam layer and the aerogel coating are connected in the interface area by a dual method of mechanical clamping and chemical bonding. Mechanical clamping uses 304 stainless steel strips with a width of 20 mm and a thickness of 2 mm. A set of clamping points is set every 200 mm along the edge of the interface. The adhesive uses epoxy resin adhesive, the curing time is controlled to be 24 hours, and the bonding strength reaches more than 3.5 MPa. The thickness of the interface area is controlled at 5 mm to ensure uniform bonding without bubbles. During the integration process, the connection strength is tested by a mechanical tensile test with a tensile speed of 5 mm / min and a measurement error of the testing machine of ±0.01 MPa. After the integration is completed, the internal quality of the interface area is non-destructively tested using X-ray scanning to ensure that there is no delamination or voids. The integrated insulation layer is dimensionally calibrated in the form of modular panels, and the edge tolerance is controlled at ±0.5 mm to facilitate subsequent installation.

[0084] Step S48: using the heat collection assembly to collect solar energy, convert it into heat energy, and transmit it to the insulation layer structure to obtain thermal energy data of the insulation curtain wall.

[0085] In this embodiment, the solar collector assembly is installed on the exterior surface of the curtain wall and utilizes high-efficiency monocrystalline silicon solar panels with an area of ​​1.2 m² and a conversion efficiency of 22%. The solar panel converts light energy into heat energy through a heat exchanger. The heat exchanger contains an 8 mm inner diameter copper tube and is fed by water at a controlled flow rate of 0.5 L / min. The heat transfer pipeline utilizes polyurethane insulated tubing with an outer diameter of 16 mm and a heat loss coefficient of ≤0.05 W / (m·K). The heat flow is transferred to the heat diffuser plate within the insulation structure. The plate is made of aluminum alloy with a thickness of 2 mm and a thermal conductivity of 205 W / (m·K). The installation area matches the area of ​​the solar collector assembly. PT100 temperature sensors are located at the four corners of the diffuser plate, with a temperature measurement accuracy of ±0.1°C, and real-time temperature data is collected. All collected data is transmitted to the control terminal via a wired data acquisition system with a sampling frequency of 1 Hz. The data is stored in a CSV file containing information such as timestamp, temperature, and flow rate. This thermal energy data is used for subsequent energy management and thermal performance analysis.

[0086] Preferably, this specification also provides a thermal insulation curtain wall construction system for executing the thermal insulation curtain wall construction method described above, the thermal insulation curtain wall construction system comprising: The wall structure repair module is used to obtain the main wall structure of the thermal insulation curtain wall; based on the main wall structure of the thermal insulation curtain wall, the honeycomb surface area of ​​the wall is detected to obtain honeycomb surface area data; based on the honeycomb surface area data, the wall structure is repaired to obtain the repaired wall structure of the thermal insulation curtain wall; The high-temperature simulation module is used to set embedded connectors based on the thermal insulation curtain wall repair wall structure, mark the coordinates of the reserved anchor holes, and generate anchor hole instructions; construct the curtain wall keel of the thermal insulation curtain wall repair wall structure according to the anchor hole instructions to obtain curtain wall keel data; and perform high-temperature simulation based on the curtain wall keel data to obtain curtain wall keel high-temperature expansion data; The thermal insulation curtain wall optimization module is used to set the deformation space of the curtain wall keel connection based on the high-temperature expansion data of the curtain wall keel, and design the curtain wall connection movable structure based on the deformation space of the keel connection; the curtain wall connection movable structure is integrated into the thermal insulation curtain wall repair wall structure to obtain the thermal insulation curtain wall optimized structure; The insulation layer design module is used to design the insulation layer based on the optimized structure of the insulation curtain wall to obtain the insulation layer structure; the solar energy is collected by the heat collection component, and the heat energy is converted and transmitted to the insulation layer structure to obtain the thermal energy data of the insulation curtain wall.

[0087] The present invention is therefore intended to be illustrative and non-restrictive in all respects, with the scope of the invention being defined by the appended claims rather than the foregoing description, and all changes that come within the meaning and range of equivalents of the application documents are intended to be embraced within the present invention.

[0088] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is to be construed in the widest possible manner consistent with the principles and novel features disclosed herein.

Claims

1. A method for constructing a thermal insulation curtain wall, characterized in that: The following steps are involved: Step S1: Obtain the main wall structure of the thermal insulation curtain wall; Based on the main wall structure of the thermal insulation curtain wall, the honeycomb surface area of ​​the wall is detected to obtain honeycomb surface area data; based on the honeycomb surface area data, the wall structure is repaired to obtain the thermal insulation curtain wall repair wall structure; Step S2: pre-embedded connectors are set based on the thermal insulation curtain wall repair wall structure, and the coordinates of the reserved anchor holes are marked to generate anchor hole instructions; curtain wall keels are constructed for the thermal insulation curtain wall repair wall structure according to the anchor hole instructions to obtain curtain wall keel data; high temperature simulation is performed based on the curtain wall keel data to obtain high temperature expansion data of the curtain wall keel; Step S3: setting the keel connection deformation space based on the high-temperature expansion data of the curtain wall keel, and designing the curtain wall connection movable structure based on the keel connection deformation space; integrating the curtain wall connection movable structure into the insulation curtain wall repair wall structure to obtain the insulation curtain wall optimized structure; Step S4: designing an insulation layer based on the optimized structure of the insulation curtain wall to obtain the insulation layer structure; using the heat collection assembly to collect solar energy, convert the heat energy, and transmit it to the insulation layer structure to obtain the thermal energy data of the insulation curtain wall.

2. The method for constructing a thermal insulation curtain wall according to claim 1, characterized in that: Step S1 is specifically as follows: Step S11: Obtain the main wall structure of the thermal insulation curtain wall; Step S12: collecting an infrared image of the curtain wall according to the main wall structure of the thermal insulation curtain wall; Step S13: identifying cold spot features based on the curtain wall infrared image; Step S14: calculating the cold spot distribution density according to the cold spot characteristics; Step S15: determining the honeycomb surface area of ​​the wall based on the cold spot distribution density, and obtaining honeycomb surface area data; Step S16: Repairing the wall structure based on the honeycomb surface area data to obtain a repaired wall structure of the thermal insulation curtain wall.

3. The method for constructing a thermal insulation curtain wall according to claim 2, wherein: Step S16 is specifically as follows: Step S161: dividing the severely defective area based on the honeycomb surface area data to obtain a mild defect area, a moderate defect area, and a severe defect area; Step S162: performing surface plaster repair simulation based on the light defect area to obtain surface plaster repair data; Step S163: performing loose layer elimination according to the moderate defect area to obtain loose layer elimination data, and performing mortar filling simulation based on the loose layer elimination data to obtain mortar filling data; Step S164: Perform structural reinforcement processing according to the serious defect area to obtain structural reinforcement data; Step S165: Integrate the surface plaster repair data, mortar filling data, and structural reinforcement data to obtain the insulation curtain wall repair wall structure.

4. The method for constructing a thermal insulation curtain wall according to claim 1, wherein: Step S2 is specifically as follows: Step S21: setting embedded connectors based on the thermal insulation curtain wall repair wall structure, marking the reserved anchor hole coordinates, and generating anchor hole instructions; Step S22: screening the anchorable area of ​​the thermal insulation curtain wall repair wall structure according to the anchor hole instruction to obtain anchorable area data; Step S23: generating a curtain wall keel construction path based on the anchorable area data; Step S24: Install the embedded parts according to the curtain wall keel construction path to obtain the curtain wall keel embedded parts data; Step S25: Drill anchor holes based on the curtain wall keel embedded part data to obtain curtain wall keel data; Step S26: Perform high temperature simulation based on the curtain wall keel data to obtain high temperature expansion data of the curtain wall keel.

5. The method for constructing a thermal insulation curtain wall according to claim 4, characterized in that: Step S23 is specifically as follows: Step S231: evaluating the wall strength of the anchorable area based on the anchorable area data; Step S232: determining the anchoring depth according to the wall strength of the anchorable area; Step S233: setting the anchor type based on the anchor depth; Step S234: designing a keel connection method according to the anchor type; Step S235: Generate a curtain wall keel construction path based on the keel connection method.

6. The method for constructing a thermal insulation curtain wall according to claim 1, wherein: Step S3 is specifically as follows: Step S31: extracting the linear expansion coefficient of the keel material and the keel material quality change data based on the curtain wall keel high temperature expansion data; calculating the material thermal expansion length according to the linear expansion coefficient of the keel material and the keel material quality change data; Step S32: Designing a connection gap reserve based on the thermal expansion length of the material; Design sliding nodes based on the reserved amount of connection gap; Step S33: Integrate the connection gap reserve and the sliding node to obtain the keel connection deformation space; Step S34: calculating the lateral deformation based on the keel connection deformation space; Configure the lateral sliding structure according to the amount of lateral deformation; Step S35: Calculating the vertical settlement based on the keel connection deformation space; configuring the elastic support structure according to the vertical settlement; Step S36: Structural integration is performed based on the transverse sliding structure and the elastic support structure to obtain a curtain wall connection movable structure; Step S37: Integrate the curtain wall connecting movable structure into the thermal insulation curtain wall repair wall structure to obtain the thermal insulation curtain wall optimized structure.

7. The method for constructing a thermal insulation curtain wall according to claim 6, characterized in that: Step S34 is specifically as follows: Step S341: Calculating the lateral deformation based on the keel connection deformation space; Step S342: Calculating the sliding margin according to the lateral deformation; Step S343: performing sliding structure parameter matching based on the sliding margin to obtain sliding structure configuration data; Step S344: selecting a sliding component according to the sliding structure configuration data, thereby obtaining sliding component data; Step S345: performing connection integration according to the sliding component data to obtain a transverse sliding structure.

8. The method for constructing a thermal insulation curtain wall according to claim 6, wherein: Step S35 is specifically as follows: Step S351: Calculating vertical settlement based on the keel connection deformation space; Step S352: performing settlement buffer demand analysis based on vertical settlement to obtain settlement buffer parameter data; Step S353: performing elastic support response design based on the settlement buffer parameter data to obtain elastic response data; Step S354: Select the support structure according to the elastic response design data to obtain support configuration data; Step S355: Arrange nodes according to the support configuration data to obtain an elastic support structure.

9. The method for constructing a thermal insulation curtain wall according to claim 1, wherein: Step S4 is specifically as follows: Step S41: performing heat flow conduction simulation based on the optimized structure of the thermal insulation curtain wall to obtain heat flow conduction data; Step S42: identifying a heat flow path according to the heat flow conduction data; Step S43: Calculating the heat flow loss rate according to the heat flow path, and calibrating the heat energy loss prone area based on the heat flow loss rate; Step S44: dividing the heat loss area based on the heat energy easy loss area to obtain a high heat energy loss area and a low heat energy loss area; Step S45: performing polyurethane foaming and laying according to the high heat loss area to obtain a polyurethane foam layer; Step S46: applying aerogel coating to the low heat loss area to obtain an aerogel coating; Step S47: Integrate the polyurethane foam layer and the aerogel coating to obtain a thermal insulation layer structure; Step S48: using the heat collection assembly to collect solar energy, convert it into heat energy, and transmit it to the insulation layer structure to obtain thermal energy data of the insulation curtain wall.

10. A construction system for a thermal insulation curtain wall, characterized in that: A method for constructing a thermal insulation curtain wall according to claim 1, wherein the thermal insulation curtain wall construction system comprises: The wall structure repair module is used to obtain the main wall structure of the thermal insulation curtain wall; based on the main wall structure of the thermal insulation curtain wall, the honeycomb surface area of ​​the wall is detected to obtain honeycomb surface area data; based on the honeycomb surface area data, the wall structure is repaired to obtain the repaired wall structure of the thermal insulation curtain wall; The high-temperature simulation module is used to set embedded connectors based on the thermal insulation curtain wall repair wall structure, mark the coordinates of the reserved anchor holes, and generate anchor hole instructions; construct the curtain wall keel of the thermal insulation curtain wall repair wall structure according to the anchor hole instructions to obtain curtain wall keel data; and perform high-temperature simulation based on the curtain wall keel data to obtain curtain wall keel high-temperature expansion data; The thermal insulation curtain wall optimization module is used to set the deformation space of the curtain wall keel connection based on the high-temperature expansion data of the curtain wall keel, and design the curtain wall connection movable structure based on the deformation space of the keel connection; the curtain wall connection movable structure is integrated into the thermal insulation curtain wall repair wall structure to obtain the thermal insulation curtain wall optimized structure; The insulation layer design module is used to design the insulation layer based on the optimized structure of the insulation curtain wall to obtain the insulation layer structure; the solar energy is collected by the heat collection component, and the heat energy is converted and transmitted to the insulation layer structure to obtain the thermal energy data of the insulation curtain wall.

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