Assembly type building curtain wall assembly control system and method

Abstract

The invention discloses a fabricated building curtain wall assembly control system and method in the technical field of building industrialization. The method comprises the steps that building curtain wall assembly data are obtained; respectively inputting the building curtain wall assembly data into the module adaptation degree calculation model, the dynamic load distribution calculation model and the connection efficiency evaluation function calculation model to obtain an adaptation degree coefficient, a dynamic load value and a connection efficiency index; performing dynamic adaptation on the curtain wall unit and the building main body structure based on the adaptation degree coefficient; performing real-time positioning deviation compensation in the installation process based on the dynamic load value; and performing quantitative control on the connection node strength and the overall load distribution based on the connection efficiency index. Compared with the limitation of geometric accuracy and structure safety separation control in the traditional process, the scheme synchronously completes curved surface matching degree improvement and aerodynamic performance optimization in the curtain wall unit installation process, and the industrial pain point that modeling accuracy and wind resistance of a special-shaped curtain wall are difficult to consider at the same time is fundamentally solved.

Description

Technical Field

[0001] The present invention relates to an assembly control system and method for an assembled building curtain wall, belonging to the technical field of building industrialization. Background Art

[0002] A building curtain wall refers to the non-load-bearing exterior wall enclosure of a building, usually composed of a panel (such as glass, metal plate, stone plate, ceramic plate, etc.) and a rear support structure (such as aluminum cross beams and columns, steel structure, glass ribs, etc.). A building curtain wall is composed of a support structure system and a panel, and can have a certain displacement ability relative to the main structure, and is a building exterior enclosure structure or decorative structure that does not share the actions received by the main structure.

[0003] The installation of traditional curtain walls relies on on-site measurement and manual adjustment, and there are problems such as difficult precision control and insufficient reliability of connection nodes. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art, and provide an assembly control system and method for an assembled building curtain wall, which can simultaneously improve the surface matching degree and optimize the aerodynamic performance during the installation process of the curtain wall unit, and solve the industry pain points that it is difficult to balance the "modeling accuracy" and "wind resistance performance" of special-shaped curtain walls.

[0005] To achieve the above purpose, the present invention is implemented by the following technical solutions:

[0006] In the first aspect, the present invention provides an assembly control method for an assembled building curtain wall, including:

[0007] Obtain the assembly data of the building curtain wall;

[0008] Input the assembly data of the building curtain wall into the module adaptability calculation model, dynamic load distribution calculation model, and connection efficiency evaluation function calculation model respectively to obtain the adaptability coefficient, dynamic load value, and connection efficiency index;

[0009] Perform dynamic adaptation of the curtain wall unit and the building main structure based on the adaptability coefficient;

[0010] Perform real-time positioning deviation compensation during the installation process based on the dynamic load value;

[0011] Perform quantitative control on the connection node strength and overall load distribution based on the connection efficiency index.

[0012] Furthermore, the module adaptability calculation model is:

[0013]

[0014] Where, Ψ: adaptation coefficient; F: building facade curvature function; xi: adjustable dimension parameter of unit component; Rj: actual installation coordinate; Pj: theoretical design coordinate; ε: environmental disturbance coefficient.

[0015] Furthermore, the dynamic load distribution calculation model is:

[0016]

[0017] Where, DL: dynamic load value; ρ: air density; v: real-time wind speed; Cd(k): aerodynamic coefficient of the k-th unit; Ak: windward projection area; θk: unit installation inclination angle.

[0018] Furthermore, the calculation model of the connection efficiency evaluation function is:

[0019]

[0020] Where, η: connection efficiency index; σs: actual stress of the s-th node; σmax(s): allowable stress of the material; δ: cumulative displacement deviation; αs, β: weight coefficients.

[0021] Furthermore, based on the adaptation coefficient, dynamic adaptation of the curtain wall unit and the building main structure is carried out, including: when Ψ < 0.6, activate the parametric modeling engine, inversely deduce the component adjustment amount, generate non-standard unit processing codes, and directly read them by the CNC machine tool; when 0.6 < Ψ ≤ 0.85, send a compensation vector [Δx, Δy, Δθz] to the dynamic positioning compensation device to drive the six-degree-of-freedom robotic arm to pre-adjust the posture, and the compensation amount = (1 - Ψ) × maximum stroke; when Ψ > 0.85, the module can be directly installed.

[0022] Furthermore, based on the dynamic load value, real-time positioning deviation compensation during the installation process is carried out, including: when DL < 120: enable the standard installation mode; when 120 ≤ DL < 250: activate the pneumatic compensation mode, and the adjustment mechanism adjusts the unit inclination angle θk according to the ratio of DL / Ak, and the servo motor torque T = K·DL·sinθk, where K is the transmission ratio coefficient; when DL ≥ 250: trigger the emergency locking mechanism, start the hydraulic damper (stroke speed v = 0.2DL mm / s), send a pause command to the construction platform, and the safety threshold is triggered.

[0023] Further, the connection node strength and the overall load distribution are quantitatively controlled based on the connection efficiency index, including: when η≥0.9: green state, allowing subsequent installation; when 0.7≤η<0.9: yellow warning, re-tightening is required, and the intelligent wrench increases the torque by ΔT=(1 - η)×Tmax, Tmax = 200 N·m, and compensates for the displacement deviation δ: Δx = β·δ·cosθ, where θ is the deviation angle; when η<0.7: red alarm, structural intervention, cutting off the power supply of the current unit, activating the redundant connecting piece, and the activation time of the electromagnetic pin <0.5 s.

[0024] In a second aspect, the present invention provides an assembly control system for an assembled building curtain wall, including:

[0025] A data acquisition module: used to acquire the assembly data of the building curtain wall;

[0026] A data calculation module: used to input the assembly data of the building curtain wall into the module adaptability calculation model, the dynamic load distribution calculation model, and the connection efficiency evaluation function calculation model respectively to obtain the adaptability coefficient, the dynamic load value, and the connection efficiency index;

[0027] A dynamic adaptation module: used to dynamically adapt the curtain wall unit to the building main structure based on the adaptability coefficient;

[0028] A deviation compensation module: used to perform real-time positioning deviation compensation during the installation process based on the dynamic load value;

[0029] A quantitative control module: used to quantitatively control the connection node strength and the overall load distribution based on the connection efficiency index.

[0030] In a third aspect, the present invention provides an assembly control device for an assembled building curtain wall, including a processor and a storage medium;

[0031] The storage medium is used to store instructions;

[0032] The processor is used to operate according to the instructions to execute the steps of the method according to any one of the above.

[0033] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method according to any one of the above are implemented.

[0034] Compared with the prior art, the beneficial effects achieved by the present invention:

[0035] 1. This solution breaks through the traditional single-dimensional control mode and realizes the cross-physical field collaborative optimization of geometric fitness and wind load distribution through the dynamic coupling calculation of the module fitness calculation model and the dynamic load distribution calculation model. Compared with the limitations of the traditional process of separate control of geometric accuracy and structural safety, this solution simultaneously completes the improvement of surface matching and optimization of aerodynamic performance during the installation of curtain wall units, fundamentally solving the industry pain point that it is difficult to balance the "modeling accuracy" and "wind resistance performance" of special-shaped curtain walls;

[0036] Second, based on the real-time evaluation of the connection efficiency index of the connection efficiency evaluation function calculation model, the system has built a "monitoring-prediction-intervention" trinity safety protection system. Through the continuous change trend analysis of the η value, potential failure modes such as bolt relaxation and stress concentration can be identified in advance, and active reinforcement mechanisms can be triggered at an early stage that is undetectable by traditional manual inspections. This forward-looking safety control strategy significantly improves the survivability of super-high-rise building curtain walls in extreme weather;

[0037] 3. The closed-loop feedback mechanism of the three major formulas gives the system strong environmental adaptability: under high temperature conditions, the module fitness calculation model automatically introduces the thermal expansion coefficient correction Ψ value calculation; when encountering sudden gusts of wind, the dynamic load distribution calculation model jointly adjusts the unit inclination angle to achieve aerodynamic shape reshaping; when foundation settlement occurs, the connection efficiency evaluation function calculation model guides the compensation device to absorb displacement through η value inversion; this feature enables the system to cope with the risk of rework caused by sudden environmental changes in traditional prefabricated construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0039] Figure 1 A schematic flow chart of a method for controlling assembly of an assembled building curtain wall provided in accordance with the first embodiment of the present invention. DETAILED DESCRIPTION

[0040] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0041] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0042] Embodiment 1:

[0043] An assembly control method for prefabricated building curtain walls. First, data collection is carried out. The point cloud data of the building skin is obtained by a drone carrying a three-dimensional laser scanner, and environmental parameters such as wind speed and temperature are collected in real time by a meteorological monitoring station.

[0044] 1. Through the adaptive algorithm module of the central control system, calculate the fitness coefficient based on the module fitness calculation model, and dynamically adapt the curtain wall unit to the building main structure according to the fitness coefficient. The module fitness calculation model is:

[0045]

[0046] In the formula, Ψ: fitness coefficient, representing the geometric matching degree between the module and the building facade, Ψ = 1 means perfect match; F: building facade curvature function (obtained by three-dimensional scanning); xi: adjustable dimension parameter of the unit component (set by the design specification); Rj: actual installation coordinate (collected by the laser positioning system); Pj: theoretical design coordinate (exported from the BIM model); ε: environmental disturbance coefficient (monitored in real time by the meteorological station).

[0047] Export the design coordinate Pj (accuracy ±0.1mm) from the BIM model, and obtain the actual coordinate Rj by laser scanning (sampling frequency 10Hz). The central control system calls the partial derivative matrix of the curvature function F Calculate the Ψ value in real time and generate a three-dimensional heat map. When Ψ < 0.6, activate the parametric modeling engine, Back-calculate the component adjustment amount and generate non-standard unit processing code (directly read by the CNC machine tool); when 0.6 < Ψ ≤ 0.85, send the compensation vector [Δx, Δy, Δθz] to the dynamic positioning compensation device to drive the six-degree-of-freedom robotic arm to pre-adjust the attitude (compensation amount = (1 - Ψ) × maximum stroke); when Ψ > 0.85, the module can be directly installed.

[0048] 2. Through the fluid mechanics analysis module of the edge computing node, calculate the dynamic load value based on the dynamic load distribution calculation model, and realize real-time positioning deviation compensation during the installation process according to the dynamic load value. The dynamic load distribution calculation model is:

[0049]

[0050] In the formula, DL: dynamic load value (unit: kN·m 2 ), reflecting the distribution influence of the current wind load on each curtain wall unit; ρ: air density (collected by the environmental sensor); v: real-time wind speed (measured by the ultrasonic anemometer); Cd(k): aerodynamic coefficient of the k-th unit (invoked from the wind tunnel experiment database); Ak: windward projected area (calculated from the point cloud data); θk: unit installation inclination angle (real-time feedback by the gyroscope).

[0051] The edge computing node calls the Cd(k) mapping table in the CFD database and updates the DL value at intervals of 0.5 s. When DL < 120: The standard installation mode is enabled; when 120 ≤ DL < 250: The pneumatic compensation mode is activated, and the adjustment mechanism adjusts the unit inclination angle θk according to the ratio of DL / Ak. The torque of the servo motor T = K·DL·sinθk (K is the transmission ratio coefficient); when DL ≥ 250: The emergency locking mechanism is triggered, the hydraulic damper is started (stroke speed v = 0.2DL mm / s), and a pause command is sent to the construction platform (safety threshold trigger).

[0052] III. Through the structural safety assessment module of the distributed processing unit, the connection efficiency index is calculated based on the connection efficiency evaluation function calculation model, and the quantitative control of the connection node strength and the overall load distribution is realized according to the connection efficiency index. The connection efficiency evaluation function calculation model is as follows:

[0053]

[0054] In the formula, η: connection efficiency index; σs: actual stress of the s-th node (measured by the piezoelectric film sensor); σmax(s): allowable stress of the material (called from the material database); δ: cumulative displacement deviation (calculated by the vision positioning system); αs, β: weight coefficients (dynamically adjusted by the machine learning model).

[0055] The distributed processing unit dynamically adjusts the αs and β coefficients (based on the LSTM prediction model), refreshes the η value every 30 s and generates a safety assessment report. When η ≥ 0.9: Green status (allowing subsequent installation); when 0.7 ≤ η < 0.9: Yellow warning (requiring re-tightening), and the intelligent wrench increases the torque by ΔT = (1 - η)×Tmax (Tmax = 200 N·m) to compensate for the displacement deviation δ: Δx = β·δ·cosθ (θ is the deviation angle); when η < 0.7: Red alarm (structural intervention), cut off the power supply of the current unit, and start the redundant connection (the activation time of the electromagnetic plug is < 0.5 s).

[0056] Closed-loop control system: The Ψ value → DL value → η value forms a series feedback, and the central control system realizes the dynamic balance of the three through the PID algorithm. Example: When a gust of wind causes a sudden increase in DL, the system synchronously reduces the Ψ calculation frequency and gives priority to improving the stability of the η value.

[0057] Intelligent decision-making logic: The coupled application of the module adaptability calculation model and the dynamic load distribution calculation model: If Then the curvature-wind load joint optimization is started; the multi-objective optimization of the connection efficiency evaluation function calculation model: When η < 0.8, it is preferred to ensure that σs / σmax ≤ 0.6, and secondly, to control δ < 1.2 mm.

[0058] Human-machine collaboration mechanism: The operator monitors the real-time change trends of Ψ, DL, and η through the HMI interface. Under abnormal conditions (such as the continuous decrease of the η value), the system automatically pushes the optimal treatment plan, for example: ①Enable the standby node ②Compensation amount Δx = +1.2mm ③Retightening torque +18%.

[0059] System linkage timing (taking the installation of a single unit as an example):

[0060] 0 - 5s: Ψ calculation → Generate unit ID - 0325 processing parameters (Ψ = 0.58 → Trigger reconstruction);

[0061] 6 - 15s: DL monitoring → Pre-adjust the inclination angle to θ = 12.7° (DL = 138 → Pneumatic compensation mode);

[0062] 16 - 25s: η evaluation → Initial value η = 0.83 → Intelligent wrench executes torque correction (T = 176N·m → 182N·m);

[0063] 26 - 30s: Secondary η verification → η = 0.91 → The system releases the unit lock and enters the next cycle.

[0064] In the prefabricated curtain wall assembly system, the module adaptability model and the dynamic load equation are linked through data interaction, parameter coupling, and control logic coordination to form a closed-loop control system. The following are the specific coupling methods and implementation processes:

[0065] 1. Data cascade coupling (intercommunication of input parameters)

[0066] Coupling point: The unit inclination angle parameter θk in the dynamic load distribution calculation model (driven by the adaptation result of the module adaptability calculation model)

[0067] Association logic: The Ψ value output by the module adaptability calculation model directly determines the installation reference attitude of the unit, and θk is the key parameter affecting the wind load calculation in the dynamic load distribution calculation model.

[0068] When Ψ < 0.85, the module adaptability calculation model generates a compensation amount Δθz (rotation angle around the Z axis) to correct θk in real time:

[0069]

[0070] In the formula, is the corrected θk, is the θk before correction. The corrected θk is substituted into the dynamic load distribution calculation model to recalculate DL, forming a dynamic feedback;

[0071] During the installation of the curved surface curtain wall unit: The module adaptability calculation model calculates that Ψ = 0.72 → triggers the adjustment of θk (Δθz = 3.2°). After correction, θk increases from 12° to 15.2°, resulting in an 18% increase in the sinθk value in the dynamic load distribution calculation model. The updated DL value increases from 140 kN·m 2 to 166 kN·m 2 → activates the pneumatic compensation mode.

[0072] 2. Joint optimization control (multi-objective decision-making)

[0073] Coupling algorithm: Establish an objective function to optimize Ψ and DL simultaneously:

[0074]

[0075] where: λ1 and λ2 are weight coefficients (λ1 + λ2 = 1), dynamically adjusted through reinforcement learning; Dcrit is the critical wind load threshold (set by building codes).

[0076] The optimization process is as follows:

[0077] Initial state: The module adaptability calculation model calculates Ψ = 0.65 → triggers component reconstruction; the dynamic load distribution calculation model detects DL = 180 kN·m 2 → approaching the critical value (Dcrit = 200 kN·m 2 ).

[0078] Decision-making process: The system automatically increases the weight of λ2 to 0.7 (prioritize controlling wind load); the optimization algorithm chooses to sacrifice the Ψ value (allowing it to drop to 0.62) in exchange for reducing DL to 168 kN·m 2 .

[0079] Execution result: The unit reconstruction parameters reduce the surface matching degree but increase the inclination angle θk to reduce DL.

[0080] 3. Sequential collaborative control (linkage during installation phase)

[0081] The calculation results of the two formulas dominate the control process in stages:

[0082]

[0083] During installation, a gust of wind causes v to increase from 10 m / s to 25 m / s → DL instantaneously exceeds 220 kN·m 2 , and the system switches to the abnormal state mode: The calculation frequency of the module adaptability calculation model increases from 1 Hz to 5 Hz, the Ψ value is updated in real-time, and the dynamic load distribution calculation model enables dynamic weight distribution to prioritize reducing DL to the safety threshold.

[0084] Control instruction: The robotic arm quickly adjusts θk to 18° (the module fitness calculation model allows Ψ to temporarily drop to 0.58), and the hydraulic damper intervenes to absorb vibration energy.

[0085] 4. Physical parameter coupling (structural mechanics correlation)

[0086] The geometric fitness Ψ of the module fitness calculation model and the load DL of the dynamic load distribution calculation model are implicitly coupled through the structural stiffness matrix:

[0087] [K]·{Δu} = {D L}·cosθ k -{F(Ψ)}

[0088] In the formula, [K]: element connection stiffness matrix (determined by material properties); {Δu}: displacement deviation vector (related to the value of Ψ); {F(Ψ)}: additional internal force caused by insufficient fitness.

[0089] When Ψ is low (poor fitness), {F(Ψ)} increases → it is necessary to increase the lateral stiffness by increasing θk. The dynamic load distribution calculation model optimizes the DL distribution by adjusting θk and compensates for the geometric deviation of the module fitness calculation model at the same time.

[0090] 5. Human-machine interaction coupling (decision visualization)

[0091] In the HMI (human-machine interface), the spatial superposition display of dual-formula data is realized. The building surface color maps the Ψ value (red for low fitness, green for high fitness), and the dynamic vector arrow indicates the magnitude and direction of DL (arrow length ∝ DL value). When the engineer drags the Ψ threshold slider, the system automatically calculates the corresponding DL safety margin. Clicking on the high DL area displays the Ψ historical curve and optimization suggestions at that position.

[0092] Coupling application technical effects

[0093] I. Improvement of risk prediction ability: When the change rates of Ψ and DL satisfy , a risk warning is automatically triggered (indicating that the conflict between geometric fitness and load distribution intensifies);

[0094] II. Energy efficiency optimization: The module fitness calculation model reduces the number of component reconstructions (reducing processing energy consumption), and the dynamic load distribution calculation model controls DL within a safe range (reducing the amount of structural reinforcement materials);

[0095] III. Improvement of installation accuracy: The dual-formula coupling control reduces the cumulative error to 1 / 3 of the traditional process (achieved through Ψ-DL phase difference analysis).

[0096] This solution has the following technical advantages:

[0097] 1. Multi-dimensional parameter collaborative optimization capability

[0098] This system breaks through the traditional single-dimensional control mode and realizes the cross-physical field collaborative optimization of geometric fitness and wind load distribution through the dynamic coupling calculation of the module fitness calculation model and the dynamic load distribution calculation model. Compared with the limitations of the traditional process of separate control of geometric accuracy and structural safety, this solution simultaneously completes the improvement of surface matching and optimization of aerodynamic performance during the installation of curtain wall units, fundamentally solving the industry pain point that it is difficult to balance the "modeling accuracy" and "wind resistance performance" of special-shaped curtain walls.

[0099] 2. Intelligent risk prediction and proactive defense

[0100] Based on the real-time evaluation of the connection efficiency index of the connection efficiency evaluation function calculation model, the system has built a "monitoring-prediction-intervention" trinity safety protection system. Through the continuous change trend analysis of the η value, potential failure modes such as bolt relaxation and stress concentration can be identified in advance, and active reinforcement mechanisms can be triggered at an early stage that is undetectable by traditional manual inspection. This forward-looking safety control strategy significantly improves the survivability of super-high-rise building curtain walls in extreme weather.

[0101] 3. Full-process adaptive control characteristics

[0102] The closed-loop feedback mechanism of the three major formulas gives the system strong environmental adaptability: under high temperature conditions, the module fitness calculation model automatically introduces the thermal expansion coefficient correction Ψ value calculation; when encountering sudden gusts of wind, the dynamic load distribution calculation model jointly adjusts the unit inclination angle to achieve aerodynamic shape reshaping; when foundation settlement occurs, the connection efficiency evaluation function calculation model guides the compensation device to absorb displacement through η value inversion; this feature enables the system to cope with the risk of rework caused by sudden environmental changes in traditional prefabricated construction.

[0103] 4. Upgrade of human-machine collaborative intelligent decision-making

[0104] The system has built a two-way enhanced decision-making architecture. On the machine intelligence side: the formula group automatically generates a multi-objective optimization solution through parameter coupling relationships; on the human experience side: the HMI interface provides a spatiotemporal evolution map of Ψ / DL / η to assist in decision-making; this architecture not only retains the engineer's control over key nodes, but also avoids the risk of human misjudgment through algorithm recommendations, achieving a deep integration of "experience inheritance" and "data-driven".

[0105] 5. Improved performance throughout the entire life cycle

[0106] The technical solution runs through the entire life cycle of building curtain wall design - manufacturing - installation - operation and maintenance. Design stage: Parametric modeling driven by the module adaptability calculation model shortens the design cycle of special-shaped units; Manufacturing stage: The production of non-standard components guided by the Ψ value reduces material and process waste; Installation stage: Dynamic compensation under the constraint of the DL value reduces the risk of high-altitude operations; Operation and maintenance stage: The η value historical data provides a baseline reference for health monitoring; A traceable and reusable digital construction technology system is formed.

[0107] 6. Breakthrough in the construction ability of complex surfaces

[0108] Through the non-linear adaptability calculation model of the module adaptability calculation model, the system breaks through the dependence of traditional BIM software on regular surfaces and can handle the decomposition of curtain wall units with complex geometric forms such as hyperbolic paraboloids and catenary surfaces. Combined with the unsteady wind load analysis ability of the dynamic load distribution calculation model, the unity of the artistic shape curtain wall and structural safety is realized, providing technical guarantee for the implementation of pioneer architectural languages.

[0109] Embodiment 2:

[0110] An assembly control system for prefabricated building curtain walls, which can implement the assembly control method for prefabricated building curtain walls described in Embodiment 1, includes:

[0111] Data acquisition module: Used to acquire building curtain wall assembly data;

[0112] Data calculation module: Used to input the building curtain wall assembly data into the module adaptability calculation model, dynamic load distribution calculation model and connection efficiency evaluation function calculation model respectively to obtain the adaptability coefficient, dynamic load value and connection efficiency index;

[0113] Dynamic adaptation module: Used to dynamically adapt the curtain wall unit to the building main structure based on the adaptability coefficient;

[0114] Deviation compensation module: Used to perform real-time positioning deviation compensation during the installation process based on the dynamic load value;

[0115] Quantitative control module: Used to quantitatively control the connection node strength and overall load distribution based on the connection efficiency index.

[0116] Embodiment 3:

[0117] The embodiment of the present invention also provides an assembly control device for prefabricated building curtain walls, which can implement the assembly control method for prefabricated building curtain walls described in Embodiment 1, including a processor and a storage medium;

[0118] The storage medium is used to store instructions;

[0119] The processor is used to operate according to the instructions to execute the steps of the following method:

[0120] Obtain the assembly data of the building curtain wall;

[0121] Input the building curtain wall assembly data into the module adaptability calculation model, dynamic load distribution calculation model, and connection efficiency evaluation function calculation model respectively to obtain the adaptability coefficient, dynamic load value, and connection efficiency index;

[0122] Based on the adaptability coefficient, dynamically adapt the curtain wall unit to the building main structure;

[0123] Based on the dynamic load value, perform real-time positioning deviation compensation during the installation process;

[0124] Based on the connection efficiency index, quantitatively control the connection node strength and overall load distribution.

[0125] Embodiment 4:

[0126] The embodiment of the present invention also provides a computer-readable storage medium that can implement the assembly control method of a prefabricated building curtain wall described in Embodiment 1. A computer program is stored thereon, and when the program is executed by a processor, the steps of the following method are implemented:

[0127] Obtain the assembly data of the building curtain wall;

[0128] Input the building curtain wall assembly data into the module adaptability calculation model, dynamic load distribution calculation model, and connection efficiency evaluation function calculation model respectively to obtain the adaptability coefficient, dynamic load value, and connection efficiency index;

[0129] Based on the adaptability coefficient, dynamically adapt the curtain wall unit to the building main structure;

[0130] Based on the dynamic load value, perform real-time positioning deviation compensation during the installation process;

[0131] Based on the connection efficiency index, quantitatively control the connection node strength and overall load distribution.

[0132] It is known by common technical knowledge that the present invention can be implemented by other implementation schemes that do not depart from its spiritual essence or essential features. Therefore, the above-disclosed implementation schemes are illustrative in all aspects and are not the only ones. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

[0133] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0134] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems) and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0135] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, so that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: still can modify the specific implementation manners of the present invention or make equivalent replacements, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A method for controlling the assembly of an assembled building curtain wall, comprising: Obtain building curtain wall assembly data; The building curtain wall assembly data is input into the module fitness calculation model, the dynamic load distribution calculation model and the connection efficiency evaluation function calculation model respectively to obtain the fitness coefficient, dynamic load value and connection efficiency index; Dynamically adapt the curtain wall unit to the main building structure based on the adaptability coefficient; Real-time positioning deviation compensation during installation based on dynamic load values; The connection node strength and overall load distribution are quantitatively controlled based on the connection efficiency index.

2. The assembly control method for prefabricated building curtain wall according to claim 1 is characterized in that: The module fitness calculation model is: Where, Ψ: fitness coefficient; F: building facade curvature function; xi: adjustable dimension parameter of unit component; Rj: actual installation coordinate; Pj: theoretical design coordinates; ε: Environmental disturbance coefficient.

3. The assembly control method for prefabricated building curtain wall according to claim 1 is characterized in that: The dynamic load distribution calculation model is: Where, DL: dynamic load value; ρ: air density; v: real-time wind speed; Cd(k): aerodynamic coefficient of the kth unit; Ak: wind-receiving projected area; θk: unit installation inclination angle.

4. The assembly control method for prefabricated building curtain wall according to claim 1 is characterized in that: The connection efficiency evaluation function calculation model is: Where, η: connection efficiency index; σs: actual stress at the sth node; σmax(s): allowable material stress; δ: cumulative displacement deviation; αs, β: weight coefficients.

5. The assembly control method for prefabricated building curtain wall according to claim 2 is characterized in that: Dynamically adapt the curtain wall unit to the main building structure based on the fitness coefficient, including: when Ψ<0.6, activate the parametric modeling engine, according to The component adjustment amount is inferred, and the non-standard unit processing code is generated, which is directly read by the CNC machine tool; when 0.6<Ψ≤0.85, the compensation vector [Δx, Δy, Δθz] is sent to the dynamic positioning compensation device to drive the six-degree-of-freedom robot arm to pre-adjust the posture, and the compensation amount = (1-Ψ) × maximum stroke; when Ψ>0.85, the module can be installed directly.

6. The assembly control method for prefabricated building curtain wall according to claim 3 is characterized in that: Real-time positioning deviation compensation during installation is performed based on dynamic load values, including: when DL<120: standard installation mode is enabled; when 120≤DL<250: pneumatic compensation mode is activated, and the adjustment mechanism adjusts the unit inclination angle θk according to the ratio of DL / Ak, and the servo motor torque T=K·DL·sinθk, K is the transmission ratio coefficient; when DL≥250: the emergency locking mechanism is triggered, the hydraulic damper is started (stroke speed v=0.2DLmm / s), a pause command is sent to the construction platform, and the safety threshold is triggered.

7. The assembly control method for prefabricated building curtain wall according to claim 4 is characterized in that: Based on the connection efficiency index, the strength of the connection node and the overall load distribution are quantitatively controlled, including: when η≥0.9: green state, allowing subsequent installation; when 0.7≤η<0.9: yellow warning, re-tightening is required, the smart wrench increases the torque according to ΔT=(1-η)×Tmax, Tmax=200N·m, and compensates for the displacement deviation δ: Δx=β·δ·cosθ, θ is the deviation angle; when η<0.7: red alarm, structural intervention, cutting off the power supply of the current unit, starting the redundant connector, and the electromagnetic plug activation time <0.5s.

8. An assembled building curtain wall assembly control system, characterized in that it includes: Data acquisition module: used to obtain building curtain wall assembly data; Data calculation module: used to input the building curtain wall assembly data into the module fitness calculation model, dynamic load distribution calculation model and connection efficiency evaluation function calculation model respectively, to obtain the fitness coefficient, dynamic load value and connection efficiency index; Dynamic adaptation module: used to dynamically adapt the curtain wall unit and the main building structure based on the adaptation coefficient; Deviation compensation module: used for real-time positioning deviation compensation during installation based on dynamic load values; Quantitative control module: used to quantitatively control the strength of connection nodes and overall load distribution based on the connection efficiency index.

9. An assembly control device for an assembled building curtain wall, characterized in that: including processor and storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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