Stress balance installation method of thin stone keel-free dry hanging system

Abstract

The invention relates to the technical field of thin stone installation, in particular to a stress balance installation method of a thin stone keel-free dry hanging system, and the method comprises the steps: obtaining the measurement data of a plurality of measurement points in a target area, and carrying out the real-time stress state calculation through the obtained measurement data; obtaining a stress state calculation result, diagnosing the calculation result, and identifying the stress unbalance type of the measuring point; and according to the stress unbalance type, a corresponding stress balance adjustment strategy is adopted to guide installation so as to ensure the stress balance of the system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of thin stone installation, in particular to a stress balance installation method of a thin stone dry hanging system without keel. BACKGROUND

[0002] The thin stone dry hanging system without keel is a relatively new stone installation technology that is becoming increasingly popular in building curtain walls and indoor and outdoor decoration. It is significantly different from the traditional stone dry hanging system (which usually requires a complex steel keel support structure). Specifically:

[0003] Natural stone (such as granite, marble, limestone, sandstone) or artificial stone with a thickness of usually between 10mm and 30mm is used. This is much thinner than the traditional 30mm-50mm thick curtain wall stone, greatly reducing the weight (usually by 50%-70%). The complex steel keel frame behind is cancelled. The stone panel is fixed directly on the structural base layer of the building (such as concrete wall, masonry wall or light steel keel wall after strengthening treatment) through special connectors. The dry hanging method, i.e. using mechanical anchoring (such as back nails, butterfly buckles, SE hanging pieces, etc.) to fix the stone and the connector, does not use cement mortar and other wet work adhesives, ensuring the convenience, adjustability of installation and the ventilation and drainage performance of the curtain wall.

[0004] During the installation of the thin stone dry hanging system without keel, stress is one of the key concerns, especially at key structural locations (such as corners, hole edges, closing points, near structural expansion joints, large-span areas, etc.). Unbalanced stress distribution can cause hole wall cracks, panel bending and cracking, etc. at the hanging points, seriously affecting the quality and service life of the entire curtain wall.

[0005] Therefore, we propose a method to ensure stress balance at each point during stone installation. SUMMARY

[0006] In the present application, the stress of each measurement point (measurement point) is monitored during installation, and the installation is guided by a stress balance adjustment strategy to ensure stress balance at each point of the stone.

[0007] The technical solution proposed by the present application is: a stress balance installation method of a thin stone dry hanging system without keel, the method comprising:

[0008] Obtaining measurement data of a plurality of measurement points in a target area, and using the obtained measurement data to perform real-time stress state calculation;

[0009] Obtaining the stress state calculation result, diagnosing the calculation result, and identifying the stress imbalance type of the measurement point;

[0010] According to the stress imbalance type, a corresponding stress balance adjustment strategy is adopted to guide the installation, so as to ensure the stress balance of the system.

[0011] Preferably, the measurement data of the plurality of measuring points in the target area is obtained, and real-time stress state calculation is performed on the obtained measurement data, including:

[0012] The layout and planning of the measuring points in the target area are performed, including:

[0013] N measuring points are arranged in the high stress area, and the measuring point density is ;

[0014] M measuring points are arranged in the normal area, and the measuring point density is ; the high stress area includes corner areas, orifices, and plate centers; the normal area includes the intersection points of each stone plate joint;

[0015] A sensor is deployed at each measuring point for measuring the measurement data of each measuring point, and the measurement data includes the strain, vibration acceleration, connector stress, and plate joint deformation of the stone;

[0016] The stress of the measuring point is calculated ; wherein, E represents the elastic modulus of the stone; ε represents the strain of the stone at the measuring point ; α represents the thermal expansion coefficient of the stone; ΔT represents the temperature change of the stone at the measuring point .

[0017] Preferably, the sequence of the rectification priorities is generated in descending order based on the product of the thermal bridge strength index and the importance weight of the thermal bridge position, to represent the degree of thermal defect, including:

[0018] The rectification index , i.e., the product of the thermal bridge strength index and the importance weight of the thermal bridge position, is calculated: ; wherein, α represents the importance weight of the thermal bridge position, N represents the number of thermal bridge areas;

[0019] All rectification indexes are arranged in descending order to obtain the sequence of rectification priorities:

[0020] ; wherein, N represents the number of rectification indexes.

[0021] Preferably, the stress state calculation result is obtained, and the calculation result is diagnosed to identify the stress imbalance type of the measuring point, including:

[0022] ​The stress of the measuring point is clustered and analyzed by the DBSCAN clustering algorithm, and the clustering result is output, including:

[0023] The stress of all measuring points is obtained, standardized, and then a set of stress values of the measuring points is constructed ;

[0024] The neighborhood of each measuring point is calculated , wherein the allowed stress fluctuation bandwidth ; represents the stress value of the measuring point ;

[0025] If , a new cluster is created and the neighborhood is expanded, wherein ; represents the minimum point cluster

[0026] The expansion area includes: if , the measuring point is added to the current cluster

[0027] The stress of the unclassified measuring point is marked as noise

[0028] The clustering result is ; wherein represents the th cluster represents noise represents a set of noises represents a set of stress classifications represents the number of noises

[0029] The clustering result is analyzed, including:

[0030] The cluster center, cluster radius and cluster density are extracted, and the imbalance type is judged, including:

[0031] The cluster center ; the cluster radius ; the cluster density ; wherein ;

[0032] If , it is judged that the stress imbalance type is local stress concentration; wherein represents the average stress value represents the standard deviation of the stress value

[0033] If , it is judged that the stress imbalance type is regional stress imbalance; wherein the stress gradient , represents the maximum allowable stress of the stone ;

[0034] If, and ; then judge the stress imbalance type as compression type imbalance ( represents the average cluster density.

[0035] Preferably, the stress balancing adjustment strategy according to the stress imbalance type is adopted to guide the installation to ensure the system stress balance, including:

[0036] If it is local stress concentration, loosen the adjacent hanging points or compensate the elastic pads;

[0037] If it is compression type imbalance, move the plate horizontally to increase the plate horizontal space;

[0038] If it is regional stress imbalance, adjust the overall flatness or modify the stone plate joint width.

[0039] Preferably, if it is regional stress imbalance, the overall flatness is adjusted, including:

[0040] Considering the interval stress coupling effect, the leveling parameter is obtained, and based on the leveling parameter, the adjustment strategy which can be used to guide the installation is generated, including:

[0041] Divide the target area into interaction areas (for example, each 3*3 stone plate block is an area), define the coupling influence radius of the area as ; represents the area of the area ;

[0042] Establish the coupling stiffness matrix ; wherein any one element in the coupling stiffness matrix is ; wherein , respectively represent the coordinates of the area and the area ; The center distance of the area and the area ;

[0043] The regional stress imbalance is quantified, that is:

[0044] The imbalance index ; wherein [ ; wherein represents the stress average value of the measurement points contained in the th area; ;

[0045] ; dimensionality and The dimensions are consistent;

[0046] If the absolute value of the imbalance | This will trigger a leveling operation.

[0047] Obtain the optimal leveling parameters to guide the adjustment operation, including:

[0048] Construct the objective function Among them, the displacement vectors that need to be adjusted in each region ; Indicates the first The amount of displacement to be adjusted in each region; equivalent load vector. ; ; Represents the regularization coefficient;

[0049] The objective function is constrained by the condition that the adjustment displacement of each region does not exceed the maximum allowable displacement. ;

[0050] The objective function is solved iteratively using the interior point method to obtain the optimal displacement vector. ; Meeting convergence conditions ;

[0051] Generate executable adjustment strategies, including:

[0052] Constructing a displacement-torque conversion model ;in, Indicates the adjustment amount of the hanging points for the stone slab; ; Represents the torque vector; Indicates the stiffness of the connecting parts; Indicates the bolt diameter; Indicates transmission efficiency;

[0053] Configure priority rules for adjustment strategies, including:

[0054] Prioritize adjusting the boundary points of the region, and then adjust the internal points;

[0055] Prioritize adjusting internal points before adjusting regional boundary points.

[0056] Preferably, the step of adopting corresponding stress balance adjustment strategies to guide installation based on the type of stress imbalance in order to ensure system stress balance further includes:

[0057] Identify the characteristics of new target regions while considering the effects of interval stress coupling;

[0058] If the new target region's features match the current target region's features, the installation parameters of the current target region which has achieved stress balance are used to guide the installation of the new target region.

[0059] Preferably, in the scenario of considering inter-regional stress coupling, the features of the new target region are identified, including:

[0060] Defining the new target region feature vector , the current target region feature ;

[0061] wherein, respectively represent the area, the radius of curvature, the average stiffness of the base layer, the hanging point density, the shape factor, and the boundary condition code of the current target region, and the range of the boundary condition code is [0, 2];

[0062] respectively represent the area, the radius of curvature, the average stiffness of the base layer, the hanging point density, the shape factor, and the boundary condition code of the new target region;

[0063] Calculate the similarity between the new target region characteristics and the current target region features:

[0064] ; wherein, represents the geometric similarity, represents the mechanical similarity; , represents the geometric similarity weight and the mechanical similarity weight;

[0065] ; wherein, respectively represent the area weight and the radius weight;

[0066] ; wherein , , , respectively represent the normalized current target region area, the new target region area, the current target region radius of curvature, the new target region radius of curvature, the current target region base average stiffness, the new target region base average stiffness, the current target region hanging point density, and the new target region hanging point density;

[0067] If , it is determined that the new target region and the current target region are similar;

[0068] Based on the stress distribution of the similar region, determine the key monitoring points:

[0069] Key point set ; respectively represent the key points abscissa and ordinate of the current target area;

[0070] The displacement amount is offset by:

[0071] ; temperature compensation represents the temperature compensation term, ; wherein, respectively represent the thermal expansion coefficient of the current target area and the thermal expansion coefficient of the new target area, represents the average temperature difference between the new target area and the current target area; represents the relative elongation of the new target area when; the number of elements of the vector is .

[0072] Preferably, the installation parameters of the current target area that have achieved stress balance are used to guide the installation of the new target area, including:

[0073] After completing the displacement amount migration, a new installation strategy is generated, including:

[0074] The torque-displacement conversion equation is: ; represents the torque vector of the new target area;

[0075] The regression model of the torque migration coefficient is: ;

[0076] wherein, ; wherein represents the first element of the torque vector of the current target area; represents the first element of the torque vector of the current target area; represents the actual temperature vector of the current area; represents the torque and displacement amount correlation matrix; represents the first element of the actual torque vector of the current area; represents the first element of the actual torque vector of the current area; represents the first element of the actual torque vector of the current area; represents the first element of the actual torque vector of the current area;

[0077] In the installation process, the is used for installation to ensure the stress balance of the initial installation of the new target area plate.

[0078] An electronic device comprising a processor, a communication module and a memory connected to the processor, the electronic device being used to implement the stress balance installation method of the thin stone no-keel dry hanging system.

[0079] A computer-readable storage medium storing a computer program that is executed by a processor to implement the stress-balanced installation method for the thin-walled stone scaffolding system.

[0080] The beneficial effects of this invention are:

[0081] This invention addresses the problem of stress coupling imbalance in thin-walled stone cladding systems without a keel. It employs a multi-regional imbalance quantification assessment to determine the presence of regional stress imbalance. Optimal leveling parameters are then identified, and using these parameters, an executable adjustment strategy is generated through displacement-torque conversion. Attached Figure Description

[0082] Figure 1 This is a flowchart of the stress balance installation method for the thin-walled stone keel-less dry-hanging system of the present invention. Detailed Implementation

[0083] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious modifications will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.

[0084] It is understood that the term "a" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element can be multiple, and the term "a" should not be understood as a limitation on the number.

[0085] Example 1:

[0086] refer to Figure 1 The technical solution provided by this invention is: a stress balance installation method for a thin-walled stone cladding system without a keel, the method comprising:

[0087] Step 1: Acquire measurement data from multiple measuring points within the target area, and use the acquired measurement data to perform real-time stress state calculations, including the following steps:

[0088] The layout and planning of measuring points within the target area includes:

[0089] N measuring points are set up in the high-stress area, with a measuring point density of... ;

[0090] Deployment in the regular area There are [number] measuring points, with a measuring point density of [number]. The high stress area includes corner area, hole, and center of the plate; the normal area includes the intersection of each stone plate joint;

[0091] A sensor is arranged at each measuring point to measure the measuring data of each measuring point, including the strain, vibration acceleration, connector stress, and plate joint deformation of the stone;

[0092] The stress of the measuring point is calculated ; wherein, represents the elastic modulus of the stone; represents the measuring point The strain of the stone; represents the thermal expansion coefficient of the stone; represents the measuring point The temperature change of the stone at the measuring point.

[0093] Step 2, obtaining the stress state calculation result, diagnosing the calculation result, identifying the stress imbalance type of the measuring point, including the following steps:

[0094] The stress of the measuring point is clustered and analyzed by the DBSCAN clustering algorithm, and the clustering result is output, including:

[0095] The stress of all measuring points is obtained, and after standardization processing, the measuring point stress value set is constructed ;

[0096] The neighborhood of each measuring point is calculated , wherein the allowed stress fluctuation bandwidth ; represents the stress value of the measuring point ;

[0097] If , a new cluster is created and the neighborhood is expanded, wherein ; represents the minimum point cluster;

[0098] The expansion area includes: if , the measuring point is added to the current cluster;

[0099] The stress of the unclassified measuring point is marked as noise;

[0100] The clustering result is ; wherein, represents the th cluster; represents noise; represents the noise set; represents the stress classification set; represents the number of noises;

[0101] Analyze the clustering results, including:

[0102] Extract the cluster center, cluster radius and cluster density, and make imbalance type judgment, including:

[0103] Cluster center ; Cluster radius ; Cluster density ; Wherein, ;

[0104] If, , the stress imbalance type is judged as local stress concentration, the noise point exceeds the threshold range, and there is a risk of hole edge cracking; wherein, The average stress value is represented by ; Stress value standard deviation;

[0105] If, , the stress imbalance type is judged as regional stress imbalance; there is a risk of stone slab warping deformation. Wherein, stress gradient , Maximum allowable stress of stone ;

[0106] If, And ; The stress imbalance type is judged as compression type imbalance, the density is significantly higher than the average value, and there is a risk of stone extrusion damage, The average cluster density is represented by

[0107] Step 3, according to the stress imbalance type, take corresponding stress balance adjustment strategy to guide the installation, to ensure the system stress balance.

[0108] If it is local stress concentration, loosen the adjacent hanging points or compensate the elastic gasket;

[0109] If it is compression type imbalance, move the plate horizontally to increase the horizontal space of the plate;

[0110] If it is regional stress imbalance, adjust the overall flatness or modify the stone plate joint width.

[0111] The internal relationship of the above three types is that when regional stress imbalance occurs, stress redistribution is caused, and stress redistribution leads to local stress concentration and compression type imbalance. That is, when regional stress imbalance occurs, compression type imbalance usually occurs, regional stress imbalance occurs alone or at the same time.

[0112] Therefore, the embodiment focuses on the process of guiding the installation when regional stress imbalance occurs.

[0113] If regional stress imbalance occurs,

[0114] Considering the interval stress coupling effect, the leveling parameters are obtained, and based on the leveling parameters, the adjustment strategy capable of guiding the installation is generated, including:

[0115] The target area is divided into interaction regions (for example, each 3*3 stone plate is a region), and the coupling influence radius of the region is defined as ; The area of the region is represented as

[0116] The coupling stiffness matrix is established; wherein any element in the coupling stiffness matrix is ; wherein , represent the coordinates of the region and the region , respectively; The center distance between the region and the region ;

[0117] The stress imbalance of the region is quantified, that is:

[0118] The imbalance index ; wherein [ ; wherein represents the stress average value of the measurement points contained in the th region; ;

[0119] ; The dimension of is consistent with the dimension of

[0120] If the absolute value of the imbalance degree ; the leveling operation is triggered;

[0121] The optimal leveling parameter is obtained to guide the adjustment operation, including:

[0122] The objective function is constructed; wherein the displacement vector to be adjusted of each region ; represents the displacement amount to be adjusted of the th region; and the equivalent load vector ; ; represents the regularization coefficient (0.01-0.05);

[0123] The constraint condition of the objective function is that the adjustment displacement amount of each region is not higher than the highest allowed displacement amount ;

[0124] Solve the objective function by the interior point method to obtain the optimal displacement vector ; Satisfy the convergence condition ;

[0125] Generate an executable adjustment strategy, including:

[0126] Construct a displacement-torque conversion model ; wherein, represents the hanging point adjustment amount of the stone slab; ; represents the torque vector; represents the connector stiffness; represents the bolt diameter; represents the transmission efficiency (0.85-0.9);

[0127] Set the adjustment strategy priority rules, including:

[0128] , preferentially adjust the boundary points of the region, and then adjust the internal points; , preferentially adjust the internal points and then adjust the boundary points of the region. Synchronously adjust the non-coupling region. The so-called non-coupling region is that the ratio of the coupling stiffness matrix elements corresponding to the two regions is less than 0.1, that is: .

[0129] For example, in the construction process of a curved curtain wall, leveling (Y=36) is required, and the imbalance degree of the corner area is 0.32; the imbalance degree of the center area is -0.18; it is judged that the imbalance index of the corner area is greater than zero, and the imbalance index of the center area is less than zero.

[0130] Solve the objective function to obtain the adjustment displacement amount of the corner area as -1.8 mm; the adjustment displacement amount of the center area is +0.9 mm; the corner area preferentially adjusts the internal hanging points; the center area preferentially adjusts the boundary hanging points.

[0131] Convert the execution instructions to calculate the torque of the adjustment tool (electric drill) and adjust the corresponding hanging points in turn.

[0132] The above leveling process actually also solves the problem of local stress concentration, that is, loosens the corresponding hanging points or adds shims.

[0133] Embodiment two:

[0134] During the installation of thin stone material of the whole curtain wall, the characteristics of the installation area may be similar. In the case that the characteristics of the new installation area are similar to those of the completed installation area, the installation of the stone material of the new installation area can be guided by using the historical installation parameters, so as to improve the installation efficiency. Therefore, on the basis of embodiment one, the following technical solutions are proposed:

[0135] According to the stress imbalance type, a corresponding stress balance adjustment strategy is adopted to guide the installation, so as to ensure the system stress balance, which further includes:

[0136] In the case of considering the interval stress coupling effect, the characteristics of the new target area are identified;

[0137] If the characteristics of the new target area match the characteristics of the current target area, the installation parameters of the current target area which has realized stress balance are used to guide the installation of the new target area.

[0138] In the case of considering the interval stress coupling effect, the characteristics of the new target area are identified, which includes:

[0139] The new target area characteristic vector is defined , and the current target area characteristic ;

[0140] Wherein, respectively represent the area, the curvature radius, the average stiffness of the base layer, the hanging point density, the shape factor and the boundary condition code of the current target area, and the range of the boundary condition code is [0, 2];

[0141] respectively represent the area, the curvature radius, the average stiffness of the base layer, the hanging point density, the shape factor and the boundary condition code of the new target area;

[0142] The similarity between the characteristics of the new target area and the current target area is calculated:

[0143] ; wherein, represents the geometric similarity, represents the mechanical similarity; , represents the geometric similarity weight and the mechanical similarity weight;

[0144] ; wherein, respectively represent the area weight and the radius weight;

[0145] ; wherein , , , respectively represent the normalized area of the current target region, the area of the new target region, the radius of curvature of the current target region, the radius of curvature of the new target region, the basic average stiffness of the current target region, the basic average stiffness of the new target region, the hanging point density of the current target region, and the hanging point density of the new target region;

[0146] If , it is determined that the new target region is similar to the current target region; ;

[0147] Based on the stress distribution of the similar region, determine the key monitoring points:

[0148] The key point set ; respectively represent the horizontal coordinates and vertical coordinates of the key points ;

[0149] Offset the displacement amount:

[0150] ; temperature compensation represents the temperature compensation term, ; wherein respectively represent the thermal expansion coefficient of the current target region and the thermal expansion coefficient of the new target region, represents the average temperature difference between the new target region and the current target region; represents the relative elongation of the new target region when The number of elements of the vector is

[0151] The installation parameters of the current target region that has achieved stress balance are used to guide the installation of the new target region, including:

[0152] After completing the displacement amount migration, a new installation strategy is generated, including:

[0153] The torque-displacement conversion equation is: ; represents the torque vector of the new target region;

[0154] The regression model of the torque migration coefficient is: ;

[0155] wherein ; wherein represents the first element of the torque vector of the current target region; represents the element of the torque vector of the current target region; represents the actual temperature vector of the current region; represents the torque and displacement amount correlation matrix; a first element representing an actual torque vector of the current region; a first element representing an actual torque vector of the current region a first element representing an actual torque vector of the current region

[0156] during installation to ensure stress balance of the new target region plate during initial installation.

[0157] The application further provides an electronic device, comprising a processor, a communication module and a memory connected to the processor, and the electronic device is used to implement the stress balance installation method of the thin stone drywall hanging system without keel.

[0158] The application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the stress balance installation method of the thin stone drywall hanging system without keel.

[0159] ​The processes described above with reference to the flowcharts can be implemented as computer software programs in accordance with embodiments of the present disclosure. Embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program comprising program code for performing the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication section, and / or installed from a detachable medium. When the computer program is executed by a central processing unit (CPU), the above-described functions defined in the methods of the present application are performed. It should be noted that the computer readable medium of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any suitable combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus or device. In the present application, the computer readable signal medium can include a data signal carried in a baseband or as part of a carrier wave, in which the computer readable program code is carried. Such a propagated data signal can take a variety of forms, including but not limited to, an electromagnetic signal, an optical signal or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium that can send, propagate or transfer the program for use by or in connection with an instruction execution system, apparatus or device. The program code contained on the computer readable medium can be transmitted by any suitable medium, including but not limited to, wireless, wire, optical cable, RF or the like, or any suitable combination of the above.

[0160] The computer program product of the present application can be a computer program product comprising a computer-readable medium bearing computer program code embodied therein for use with a computer. The computer program code can be code defining and / or implementing the present application. The computer program code can be written in any suitable computer readable programming language. The computer program code can be stored in a computer- readable storage medium, such as, but not limited to, any type of disk including an optical disk, a CD-ROM, a CD-R, a CD-RW, a DVD, a flash memory, a ROM, a RAM, a magnetic disk or hard drive, or any other suitable type of medium including a medium that holds the software for a particular or specialized computing purpose, or any suitable combination of media. The computer program product can be a computer program product distributed to end users, whether as a stand-alone program, as part of a physical system, or as a software download. The computer program product can be distributed on a physical medium, such as, but not limited to, a floppy disk, a CD-ROM, a CD-R, a CD-RW, a DVD, a flash memory, a ROM, a RAM, a magnetic disk or hard drive, or any other suitable type of medium, or any suitable combination of media. The computer program product can be distributed from a program distribution center, either as a tangible medium or via electronic delivery, such as from a Web site via the Internet, or from one computer to another via electronic transfer, such as by e-mail. The computer program product can be distributed in an encrypted manner, such as via encryption or via password protection.

[0161] Those skilled in the art will understand that the application described above and illustrated in the accompanying drawings is presented by way of example only and is not intended to limit the application. The present application thus extends to any and all embodiments within the scope of the following claims.

Claims

1. A stress-balanced installation method for a thin-walled stone cladding system without a keel, characterized in that, The method includes: Acquire measurement data from multiple measuring points within the target area, and use the acquired measurement data to perform real-time stress state calculation; Obtain the stress state calculation results, diagnose the calculation results, and identify the stress imbalance type at the measuring point; Based on the type of stress imbalance, corresponding stress balance adjustment strategies are adopted to guide the installation in order to ensure the stress balance of the system.

2. The stress balance installation method for the thin-walled stone cladding system without keel as described in claim 1, characterized in that, The process of acquiring measurement data from multiple measuring points within the target area and using the acquired measurement data to perform real-time stress state calculation includes: The layout and planning of measuring points within the target area includes: N measuring points are set up in the high-stress area, with a measuring point density of... ; Deployment in the regular area There are [number] measuring points, with a measuring point density of [number]. The high-stress zone includes corner areas, openings, and the center of the slab; the regular zone includes the intersections of the joints between the stone slabs. Sensors are deployed at each measuring point to measure the measurement data at each point, including the stone's strain, vibration acceleration, connector stress, and joint deformation. Calculate the stress at the measuring point ;in, Indicates the elastic modulus of the stone; Indicates the measuring point Strain in stone; Indicates the coefficient of thermal expansion of the stone; Indicates the measuring point The amount of temperature change in the stone.

3. The stress balance installation method for the thin-walled stone cladding system without keel as described in claim 2, characterized in that, The process of obtaining stress state calculation results, diagnosing the calculation results, and identifying the stress imbalance type at the measuring point includes: Cluster analysis of the stress at the measuring points was performed using the DBSCAN clustering algorithm, and the clustering results were output, including: After obtaining the stress at all measuring points and performing standardization, a set of stress values ​​for each measuring point is constructed. ; Calculate the neighborhood for each measurement point Among them, the allowable stress fluctuation bandwidth ; Representation and measuring points The stress value; If | Create new clusters and expand their neighborhoods, where ; Represents a minimal point cluster; The extended domain includes: if Then the measuring point Join the current cluster; The stress at unclassified measurement points is marked as noise; Clustering results are ;in, Indicates the first A cluster; Indicates noise; Represents a set of noise; Represents a set of stress categories; Indicates the amount of noise; The clustering results were analyzed, including: Extract cluster center, cluster radius, and cluster density to determine the imbalance type, including: Cluster center Cluster radius Cluster density ;in, ; if, If the stress imbalance is determined to be local stress concentration, then the stress imbalance type is identified as local stress concentration; among which, Table of average stress values, Indicates the standard deviation of stress values; if, If the stress imbalance type is determined to be regional stress imbalance, then the stress gradient is considered to be the stress imbalance type. , Indicates the maximum allowable stress of the stone; ; if, and Therefore, the stress imbalance type is determined to be compressive imbalance. This represents the average cluster density.

4. The stress balance installation method for the thin-walled stone scaffolding system without keel as described in claim 3, characterized in that, The method of adopting corresponding stress balance adjustment strategies based on the type of stress imbalance to guide installation and ensure system stress balance includes: If it is a localized stress concentration, loosen the adjacent hanging points or compensate for the elastic gaskets; If it is a compression-type imbalance, move the board laterally to increase the lateral space of the board; If the problem is regional stress imbalance, adjust the overall flatness or modify the width of the stone slab joints.

5. The stress balance installation method for the thin-walled stone scaffolding system without keel as described in claim 4, characterized in that, If the problem is regional stress imbalance, then adjusting the overall flatness includes: Considering the effects of stress coupling within a given area, leveling parameters are obtained, and based on these parameters, an adjustment strategy is generated to guide installation, including: Divide the target area into Define regions by dividing them into interaction zones (e.g., each zone consists of 3*3 stone slabs). The coupling influence radius is ; Indicates the area The area; Establish the coupling stiffness matrix Wherein, any element in the coupling stiffness matrix is ;in, , Representing regions and region The coordinates; area and region The center distance; The quantification of regional stress imbalance is as follows: Imbalance indicators ;in, =[ ;in Indicates the first The average stress value of the measurement points contained within the region; ; ; dimensionality and The dimensions are consistent; If the absolute value of the imbalance | This will trigger a leveling operation. Obtain the optimal leveling parameters to guide the adjustment operation, including: Construct the objective function Among them, the displacement vectors that need to be adjusted in each region ; Indicates the first The amount of displacement to be adjusted in each region; equivalent load vector. ; ; Represents the regularization coefficient; The objective function is constrained by the condition that the adjustment displacement of each region does not exceed the maximum allowable displacement. ; The objective function is solved iteratively using the interior point method to obtain the optimal displacement vector. ; Meeting convergence conditions ; Generate executable adjustment strategies, including: Constructing a displacement-torque conversion model ;in, Indicates the adjustment amount of the hanging points for the stone slab; ; Represents the torque vector; Indicates the stiffness of the connecting parts; Indicates the bolt diameter; Indicates transmission efficiency; Configure priority rules for adjustment strategies, including: Prioritize adjusting the boundary points of the region, and then adjust the internal points; Prioritize adjusting internal points before adjusting regional boundary points.

6. The stress balance installation method for the thin-walled stone scaffolding system without keel as described in claim 5, characterized in that, The method of adopting corresponding stress balance adjustment strategies based on the type of stress imbalance to guide installation and ensure system stress balance also includes: Identify the characteristics of new target regions while considering the effects of interval stress coupling; If the characteristics of the new target area match those of the current target area, the installation parameters of the current target area, which has already achieved stress balance, are used to guide the installation of the new target area.

7. The stress balance installation method for the thin-walled stone cladding system without keel as described in claim 6, characterized in that, The feature identification of new target regions in a scenario considering inter-regional stress coupling includes: Define the feature vector of the new target region Current target region features ; in, These represent the area, radius of curvature, average stiffness of the base layer, density of hanging points, shape factor, and boundary condition code of the current target area, respectively, with the boundary condition code ranging from [0,2]. These represent the area, radius of curvature, average stiffness of the base layer, density of hanging points, shape factor, and boundary condition code of the new target area, respectively. Calculate the similarity between the characteristics of the new target region and the features of the current target region: ;in, Representing geometric similarity, Indicates mechanical similarity; , Represents the geometric similarity weight and the mechanical similarity weight; ;in, These represent area weight and radius weight, respectively; ;in , , , These represent the normalized area of ​​the current target region, the area of ​​the new target region, the radius of curvature of the current target region, the radius of curvature of the new target region, the average stiffness of the foundation of the current target region, the average stiffness of the foundation of the new target region, the density of hanging points in the current target region, and the density of hanging points in the new target region, respectively. if If so, then the new target region is determined to be similar to the current target region; Based on the stress distribution in similar regions, key monitoring points were identified: Key Points Set ; These represent key points. The x and y coordinates; Perform displacement offset: Temperature compensation Indicates the temperature compensation term. ;in, These represent the coefficients of thermal expansion of the current target region and the new target region, respectively. This represents the average temperature difference between the new target area and the current target area; Indicates the new target area Relative elongation at time; vector The number of elements is indivual.

8. The stress balance installation method for the thin-walled stone scaffolding system without keel as described in claim 7, characterized in that, The method of using the installation parameters of the current target area, which has already achieved stress balance, to guide the installation in the new target area includes: After completing the displacement migration, a new installation strategy is generated, including: The torque-displacement conversion equation is: ; This represents the torque vector of the new target region; The regression model for the torque transfer coefficient is as follows: ; in, ;in This represents the first element of the torque vector for the current target region; The first element representing the torque vector of the current target region. One element; This represents the actual temperature vector of the current region; This represents the correlation matrix between torque and displacement. The first element representing the actual torque vector of the current region; The first element representing the actual torque vector of the current region. One element; During the installation process, utilize Installation is carried out to ensure stress balance during the initial installation of the panels in the new target area.

9. An electronic device, comprising a processor, a communication module connected to the processor, and a memory, characterized in that, The electronic device is used to implement the stress balance installation method of the thin stone frameless dry-hanging system according to any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is executed by a processor to implement the stress balance installation method for the thin stone keel-less dry-hanging system according to any one of claims 1-8.

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