Prefabricated building structure performance test platform, method, equipment and storage medium

Abstract

The application discloses an assembled building structure performance test platform, method, equipment and storage medium, relates to the building performance test technical field, and aims to solve the low real-time and accuracy of the traditional test platform. The platform comprises: a modular test device integrated with a standardized interface and a reconfigurable functional module, used for installing an assembled building component to be tested; a multidirectional loading device connected with the modular test device, used for applying a composite load in the horizontal, vertical and torsional directions to the assembled building component to be tested; a distributed sensing device deployed at key positions of the assembled building component to be tested, used for acquiring stress, strain and displacement data of the assembled building component to be tested in real time; and an intelligent control device in communication connection with the multidirectional loading device and the distributed sensing device, used for dynamically adjusting loading parameters of the multidirectional loading device based on data collected by the distributed sensing device.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building performance test, in particular to a prefabricated building structure performance test platform, method, equipment and storage medium. BACKGROUND

[0002] With the acceleration of the building industrialization process, prefabricated buildings are widely used in the fields of residential buildings, public buildings and the like due to their high construction efficiency, low resource consumption and strong controllability of quality, and the structural performance of prefabricated buildings is directly related to the overall safety and service life of the buildings.

[0003] The existing prefabricated building test technology is limited in function and difficult to reproduce complex working conditions such as multi-directional seismic action, temperature stress coupling and alternating wind load in actual engineering in the simulation of test scenes, resulting in a large deviation between the test results and the structural response under the real service environment. Specifically, in the data acquisition link, the coverage is limited by relying on manual recording or discrete sensor arrangement, and the data transmission delay is high and the interference error is large, which makes it difficult to accurately capture the performance changes of the components throughout their life cycle, resulting in a decrease in the real-time and accuracy of the test.

[0004] Therefore, it is urgent to build a test platform integrating multi-functional loading, intelligent sensing, dynamic control and modular adaptation. SUMMARY

[0005] The present application aims to provide a prefabricated building structure performance test platform, method, equipment and storage medium, which aims to solve the problem of low real-time and accuracy of the traditional test platform.

[0006] To achieve the above-mentioned purpose, the technical scheme adopted by the present application is as follows:

[0007] The present application provides a prefabricated building structure performance test platform, which comprises: a modular test device integrated with a standardized interface and a reconfigurable functional module for installing a prefabricated building component to be tested; a multi-directional loading device connected to the modular test device for applying a composite load in the horizontal, vertical and torsional directions to the prefabricated building component to be tested; a distributed sensing device deployed at key positions of the prefabricated building component to be tested for real-time acquisition of stress data, strain data and displacement data of the prefabricated building component to be tested; and an intelligent control device in communication connection with the multi-directional loading device and the distributed sensing device for dynamically adjusting the loading parameters of the multi-directional loading device based on the data collected by the distributed sensing device.

[0008] The assembly type building structure performance test platform provided by the embodiment of the application realizes the rapid adaptation of different types of components through the standardized interface and reconfigurable design of the modular test device, reduces the test preparation time, synchronously applies horizontal, vertical and torsional composite loads through the multidirectional loading device, more truly simulates the stress state of the component under complex working conditions such as earthquakes, densely deploys the distributed sensing device at key positions, and can dynamically capture the transient response characteristics of the component by combining the real-time analysis of the collected data with the intelligent control device.

[0009] In some embodiments, the multidirectional loading device comprises a multi-degree-of-freedom hydraulic actuator for realizing composite loading in horizontal, vertical and torsional directions; and a loading parameter controller for dynamically adjusting loading force, loading rate and loading direction parameters.

[0010] Based on this, the application realizes three-directional composite loading through the multi-degree-of-freedom hydraulic actuator, dynamically adjusts the loading strategy in combination with the loading parameter controller, accurately simulates the dynamic stress process under complex working conditions such as earthquakes, avoids the limitations of single-directional loading, and improves the authenticity of the test working conditions.

[0011] In some embodiments, the distributed sensing device comprises a distributed sensor network for collecting stress data, strain data and displacement data of the assembly type building component to be tested; an edge computing module for preprocessing the stress data, strain data and displacement data; and a cloud platform interaction interface for remotely transmitting and storing the preprocessed stress data, strain data and displacement data.

[0012] Based on this, the application synchronously collects multi-parameter data through the distributed sensor network, reduces the transmission delay by completing local preprocessing through the edge computing module, supports remote monitoring and data tracing through the cloud platform interface, forms an integrated process of “collection-processing-storage”, and improves the timeliness of data and management efficiency.

[0013] In some embodiments, the reconfigurable functional module comprises a basic cap module, a connecting node clamp module and a component support module; and is used for adapting the installation requirements of the assembly type building component to be tested such as beams, plates, columns and connecting nodes through the combination of standardized interfaces.

[0014] Based on this, the application quickly adapts the installation requirements of different components such as beams, plates and columns by combining the basic cap, node clamp and support modules through standardized interfaces, avoids the high cost and long cycle of traditional customized devices, and improves the universality and economy of the test platform.

[0015] In some embodiments, the intelligent control device described above comprises: an intelligent analysis module for analyzing the data collected by the distributed sensing device and generating dynamic loading adjustment instructions; and a digital twin modeling module for constructing a virtual mapping model of the test process.

[0016] Based on this, the present application analyzes the component response in real time through the intelligent analysis module and generates loading instructions, and constructs a virtual test model through the digital twin modeling module, thereby realizing "physical test-digital simulation" bidirectional verification and optimizing the scientificity and control accuracy of test decision-making.

[0017] In some embodiments, the intelligent analysis module described above comprises: a response feature identification unit for identifying the mechanical response features of the prefabricated building component to be tested according to the data collected by the distributed sensing device; and a loading scheme optimization unit for generating dynamic loading adjustment instructions according to the mechanical response features.

[0018] Based on this, the present application extracts the key indicators of the mechanical behavior of the component through the response feature identification unit, and dynamically adjusts the loading path based on the identification results through the loading scheme optimization unit, thereby forming a closed-loop control mechanism and avoiding the hysteresis of manual intervention, thereby improving the adaptive ability of the test process.

[0019] In some embodiments, the digital twin modeling module described above comprises: a physical parameter mapping unit for mapping the physical properties of the prefabricated building component to be tested to the virtual mapping model in real time; and a virtual-real comparative analysis unit for comparing the performance data of the virtual mapping model and the physical test to optimize the test process.

[0020] Based on this, the present application synchronizes the component properties to the virtual mapping model in real time through the physical parameter mapping unit, and checks the deviation between the test data and the simulation results through the virtual-real comparative analysis unit, thereby realizing dynamic correction of the test process and strengthening the reliability of the test results under complex working conditions.

[0021] The present application provides a prefabricated building structure performance test method, which is applied to a prefabricated building structure performance test platform. The platform comprises: a modular test device, a multidirectional loading device, a distributed sensing device, and an intelligent control device. The method comprises: combining reconfigurable functional modules through the standardized interfaces of the modular test device to install prefabricated building components to be tested; applying a composite load in the horizontal, vertical, and torsional directions to the prefabricated building components to be tested through the multidirectional loading device; collecting stress data, strain data, and displacement data of the prefabricated building components to be tested in real time through the distributed sensing device; and dynamically adjusting the loading parameters of the multidirectional loading device based on the data collected by the distributed sensing device through the intelligent control device.

[0022] In some embodiments, the multi-directional loading device realizes composite loading in horizontal, vertical and torsional directions through a multi-degree-of-freedom hydraulic actuator, and dynamically adjusts the loading force, loading rate and loading direction parameters through a loading parameter controller.

[0023] In some embodiments, the distributed sensing device collects stress data, strain data and displacement data of the fabricated building component to be tested through a distributed sensor network, pre-processes the stress data, strain data and displacement data through an edge computing module, and remotely transmits and stores the pre-processed stress data, strain data and displacement data through a cloud platform interaction interface.

[0024] In some embodiments, the reconfigurable functional module of the modular test device includes a foundation slab module, a connection node clamp module and a component support module, which are combined through standardized interfaces to adapt to the installation requirements of the fabricated building components to be tested, such as beams, plates, columns and connection nodes.

[0025] In some embodiments, the intelligent control device performs component response analysis on the data collected by the distributed sensing device through an intelligent analysis module, and generates dynamic loading adjustment instructions, and constructs a virtual mapping model of the test process through a digital twin modeling module.

[0026] In some embodiments, the intelligent analysis module identifies the mechanical response characteristics of the fabricated building component to be tested according to the data collected by the distributed sensing device through a response feature recognition unit, and generates dynamic loading adjustment instructions according to the mechanical response characteristics through a loading scheme optimization unit.

[0027] In some embodiments, the digital twin modeling module maps the physical properties of the fabricated building component to be tested to the virtual mapping model in real time through a physical parameter mapping unit, and compares the virtual mapping model with the performance data of the physical test through a virtual-real comparison analysis unit to optimize the test process.

[0028] The present application provides an electronic device, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the above-described fabricated building structure performance test method.

[0029] The present application provides a computer-readable storage medium having instructions stored therein, which, when executed on a terminal, cause the terminal to perform the above-described fabricated building structure performance test method.

[0030] The present application provides a computer program product containing instructions, which, when executed by a computer, cause the computer to perform the above-described fabricated building structure performance test method.

[0031] The chip provided by the application comprises a processor and a communication interface, the communication interface is coupled with the processor, and the processor is used to run computer programs or instructions to realize the prefabricated building structure performance test method described above.

[0032] Specifically, the chip provided in the embodiments of the application further comprises a memory for storing computer programs or instructions. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0034] Figure 1 One of the architecture diagrams of the prefabricated building structure performance test platform provided by the embodiments of the application;

[0035] Figure 2 The second architecture diagram of the prefabricated building structure performance test platform provided by the embodiments of the application;

[0036] Figure 3 The third architecture diagram of the prefabricated building structure performance test platform provided by the embodiments of the application;

[0037] Figure 4 The fourth architecture diagram of the prefabricated building structure performance test platform provided by the embodiments of the application;

[0038] Figure 5 The fifth architecture diagram of the prefabricated building structure performance test platform provided by the embodiments of the application;

[0039] Figure 6 The fifth architecture diagram of the prefabricated building structure performance test platform provided by the embodiments of the application;

[0040] Figure 7 The method flowchart of the prefabricated building structure performance test method provided by the embodiments of the application;

[0041] Figure 8 The structure diagram of the electronic device provided by the embodiments of the application. DETAILED DESCRIPTION

[0042] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of the present application.

[0043] In the description of the present application, it should be understood that the terms "upper", "lower", "left", "right", "front", "back", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings based on the orientation or relative position shown in the drawings, and are only for the purpose of facilitating the description of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise specified, the above orientation description can be flexibly arranged in the actual application process under the condition of meeting the relative position relationship shown in the drawings.

[0044] The terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0045] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting", "communicating" should be understood in a broad sense, for example, it can be fixed connection, or detachable connection, or integral connection. It can be directly connected, or indirectly connected through an intermediate medium, or the communication between the two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0046] In some embodiments, the terms "comprising", "including", or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, article or apparatus including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, article or apparatus. Without more limitations, the element defined by the sentence "including a" does not exclude the presence of other identical elements in the process, article or apparatus including the element.

[0047] In some embodiments, the word "exemplary" or "for example" is used to mean serving as an example or illustration. Any embodiment or design described herein as "exemplary" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word example or of the phrase for example is intended to present concepts in a concrete manner.

[0048] In the description of the present specification, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0049] The structural performance of fabricated buildings is directly related to the overall safety and service life of the building. The mechanical properties of prefabricated components, the reliability of connecting joints, and the seismic and wind resistance performance of the structure under complex environment are the core indicators to ensure the quality of the project. Therefore, comprehensive evaluation of the structural performance of fabricated buildings through scientific testing methods is a key technical support for promoting quality control.

[0050] In terms of test scene simulation, traditional test platforms are designed for single-direction loading, which is difficult to reproduce the complex working conditions such as multi-directional seismic action, temperature stress coupling, and alternating wind load in actual engineering, resulting in a large deviation between the test results and the structural response under real service environment.

[0051] Specifically, in the data acquisition link, the traditional test platform relies on manual recording or discrete sensor arrangement, which not only has limited coverage, but also has high data transmission delay and large interference error, making it difficult to accurately capture the performance changes of the components. At the same time, the test process lacks a dynamic control mechanism, and once the loading scheme is set, it cannot be adjusted adaptively according to the real-time response of the components, often leading to low test efficiency or distorted results due to improper parameter matching.

[0052] In addition, the existing test devices have poor universality, and different types of prefabricated components (such as beams, plates, columns, joints, etc.) need to be customized with special test fixtures and support structures, making the module replacement and debugging process tedious and prolonging the test preparation period.

[0053] Therefore, the existing test platform has the problems of low test real-time performance and poor accuracy.

[0054] Under this background, in order to solve the problems of low test real-time performance and poor accuracy of the traditional test platform in the related technology, the present application provides a fabricated building structural performance test platform, method, equipment and storage medium. Through the standardization interface and the recombination module, multiple component types are adapted, complex working conditions are simulated by using multi-directional composite load, distributed sensing is used to collect data in real time, and the intelligent control device dynamically adjusts the loading parameters based on real-time data, realizing the universality, complex working condition simulation capability and intelligent dynamic control of the test.

[0055] Figure 1 An architectural framework of a prefabricated building structure performance test platform is provided for embodiments of the present application. The prefabricated building structure performance test platform 100 includes a modular test device 110, a multidirectional loading device 120, a distributed sensing device 130, and an intelligent control device 140.

[0056] The multidirectional loading device 120 is connected to the modular test device 110, the distributed sensing device 130 is deployed at key positions of the prefabricated building components to be tested, and the intelligent control device 140 is communicatively connected to the multidirectional loading device 120 and the distributed sensing device 130.

[0057] In some embodiments, the modular test device 110 integrates a standardized interface 111 and a reconfigurable functional module 112 for mounting prefabricated building components to be tested.

[0058] For example, the standardized interface 111 can adopt a quick-release mechanical lock structure, the outer diameter of the lock can be 150 mm, the thickness can be 20 mm, the inner side is provided with three groups of circumferentially uniformly distributed positioning pins and grooves, the diameter of the positioning pins can be 10 mm, the length can be 25 mm, the groove depth can be 15 mm, and the fitting gap is controlled within the range of 0.1-0.2 mm, to ensure precise docking and reliable locking between modules.

[0059] Optionally, the surface of the standardized interface 111 can be galvanized, and the thickness of the galvanized layer can be controlled within the range of 8-10 μm to improve corrosion resistance and adapt to long-term use in a laboratory humid environment.

[0060] Optionally, the edge of the standardized interface 111 can be provided with a sealing rubber ring with a rectangular cross section, with a width of 5 mm and a thickness of 3 mm. For example, nitrile rubber material can be used to prevent dust and coolant from entering the interior of the standardized interface 111 and affecting the connection accuracy.

[0061] In some embodiments, the reconfigurable functional module 112 can include a foundation platform module, a connection node clamp module, and a component support module, for adapting to the installation requirements of prefabricated building components to be tested, such as beams, plates, columns, and connection nodes, through the combination of the standardized interface 111.

[0062] In one example, a prefabricated concrete simply supported beam (e.g., with a length of 6 m and a cross-sectional size of 300 mm x 500 mm) is tested.

[0063] ①The foundation platform module can adopt a prefabricated reinforced concrete structure with a size of 2m x 1m x 0.5m, an internal configuration of steel mesh with a spacing of 200mm x 200mm, and is fixed to the test bed base through 4 groups of expansion bolts. The test bed base is pre-buried with a steel plate with a thickness of 20mm on the ground. The top of the foundation platform module is pre-set with 4 standardized interfaces 111 in a rectangular distribution with a spacing of 1.5m x 0.8m.

[0064] ②The connecting joint clamp module can adopt cast steel material, and has a whole "U" shape structure with an opening width of 320mm and a depth of 200mm. An internal buffer layer (such as 5mm thick neoprene with a Shore hardness of 60±5) is pasted to avoid damage to the concrete surface of the component during clamping. The clamp is connected to the standardized interface 111 through bolts on both sides to ensure the rigid connection of the clamp and the foundation platform module.

[0065] ③The component support module can be an adjustable steel structure support with a height adjustment range of 500-800mm and an adjustment accuracy of ±5mm. An arc-shaped bracket with a radius of 150mm is provided at the top. The component support module is connected to the foundation platform module through the standardized interface 111. According to the span of the beam (such as 6m), the spacing between the two support modules is set to 5.4m to form a simply supported beam test support system.

[0066] In another example, if a prefabricated composite slab (such as a size of 4m x 2.5m x 0.12m) needs to be tested, only the component support module needs to be replaced with a frame support structure. The frame is welded from I-beams, and a 20mm thick steel plate is laid on the top as a bearing surface. A plurality of mounting holes are provided on the surface of the steel plate, and the frame is connected to the foundation platform module through the standardized interface 111. The spacing of the support frame is adjusted to 3.6m. At the same time, lateral limiting clamps are provided on the four edges of the plate. The clamps are fixed through the interface, and the limiting height exceeds the top surface of the plate by 50mm to prevent lateral deviation of the plate component during loading.

[0067] In yet another example, if a prefabricated column component (such as a length of 3m and a cross-sectional size of 400mm x 400mm) needs to be tested, the connecting joint clamp module is replaced with a vertical positioning clamp. The clamp has a double-clamp structure with a thickness of 20mm. An internal sawtooth anti-slip pattern with a tooth height of 2mm and a tooth spacing of 5mm is provided. The clamp is driven by a hydraulic drive device to realize clamping action. The clamping force can be adjusted in the range of 0-200kN. The height adjustment range of the clamp is set to 1-1.5m to adapt to column components of different lengths. The bottom is rigidly connected to the foundation platform module through 4 standardized interfaces 111 to ensure the stability of the column component during vertical loading.

[0068] Therefore, the application combines the basic support platform, the node clamp and the support module through the standardized interface, quickly adapts to the installation requirements of different components such as beams, plates and columns, avoids the high cost and long cycle of traditional customized devices, and improves the universality and economy of the test platform.

[0069] In some embodiments, the multi-directional loading device 120 is used to apply a composite load in the horizontal, vertical and torsional directions to the prefabricated building component to be tested.

[0070] Optionally, in combination with Figure 1 As shown in the figure, the multi-directional loading device 120 can include a multi-degree-of-freedom hydraulic actuator 121 and a loading parameter controller 122. Figure 2

[0071] In some embodiments, the multi-degree-of-freedom hydraulic actuator 121 is used to realize composite loading in the horizontal, vertical and torsional directions.

[0072] Exemplarily, the multi-degree-of-freedom hydraulic actuator 121 can include horizontal X-axis and Y-axis hydraulic cylinders and a vertical Z-axis hydraulic cylinder, wherein the cylinder diameter of the X-axis and Y-axis hydraulic cylinders can be set to 125 mm, the piston rod diameter is 70 mm, the maximum stroke is 1000 mm, the working pressure range is set to 0-25 MPa, and the horizontal force of 0-500 kN can be output respectively, the mounting seat is connected with the basic support platform module of the modular test device 110 through the standardized interface 111, the mounting angle can be adjusted through the universal hinge, and the angle range is set to ± 15° to adapt to the loading requirements in different directions.

[0073] Specifically, the X-axis hydraulic cylinders can be arranged on both sides of the component length direction, and the interval is matched with the component length (such as the interval of 6.5 m between the hydraulic cylinders on both sides of the 6 m beam component), the Y-axis hydraulic cylinders are arranged on both sides of the component width direction, and the interval is set according to the component width (such as the interval of 0.8 m between the hydraulic cylinders on both sides of the 300 mm wide beam component).

[0074] Exemplarily, the cylinder diameter of the Z-axis hydraulic cylinder can be set to 160 mm, the piston rod diameter is 90 mm, the maximum stroke is 800 mm, the working pressure range is set to 0-31.5 MPa, and the vertical force of 0-1000 kN can be output, the column height of the mounting frame is set to 5 m, the beam span is 4 m, and the mounting frame is fixed to the ground through the embedded bolt, the hydraulic cylinder is suspended in the central beam, can move horizontally along the beam guide rail, the moving range is set to ± 2 m, and the adjustment accuracy is ± 10 mm, so as to align the loading center point of different components.

[0075] ​Exemplarily, the loading of the torsion direction can be achieved by a universal joint transmission mechanism installed at the end of the component, which can be composed of a cross shaft type universal joint, a torque sensor and a connecting flange. One end of the universal joint is connected with the piston rod of the X-axis hydraulic cylinder, and the other end is rigidly connected with the embedded part at the end of the component through the flange.

[0076] In use, the torsion torque can be generated by controlling the difference of the loading forces of the X-axis hydraulic cylinders on both sides (e.g. 300 kN on the left side and 100 kN on the right side), and the size of the torque can be monitored in real time by the torque sensor to achieve continuous adjustment in the range of 0-50 kN·m, so as to simulate the complex stress state of the component under the action of the earthquake, in which the component simultaneously bears the horizontal, vertical pressure and torsion.

[0077] In some embodiments, the loading parameter controller 122 is used to dynamically adjust the loading force, the loading rate and the loading direction parameters.

[0078] Exemplarily, the loading parameter controller 122 can be built-in with a programmable logic controller (PLC) to ensure the real-time data processing. The loading parameter controller 122 can communicate with the intelligent control device 140 through a bus to receive the loading instructions and sensor feedback data in real time.

[0079] In use, the loading force adjustment can be achieved by controlling the hydraulic servo valve, and the valve opening degree can be controlled by the 4-20 mA analog signal output by the PLC to achieve continuous adjustment of the loading force in the range of 0-1000 kN.

[0080] Further, the loading rate can be achieved by adjusting the displacement of the variable hydraulic pump, and the loading rate can be set in the range of 0.1-5 mm / s by controlling the inclination angle of the swash plate through the proportional solenoid. For example, when the distributed sensing device 130 detects that the strain rate of the component exceeds 500 με / s, the deceleration program is triggered to reduce the loading rate until the strain rate returns to normal.

[0081] Further, the loading direction can be achieved by switching the working state of the electromagnetic reversing valve in different axial directions to realize the separate loading or any combination loading of the X, Y, Z axes and the torsion direction.

[0082] For example, when simulating unidirectional earthquake, only the X-axis loading is started, and the acceleration time history curve of the seismic wave is converted into the loading force time history curve by the wave generator built-in the PLC.

[0083] For another example, when simulating oblique earthquake, the X-axis and Y-axis loadings are started synchronously, the load is distributed in the proportion of 1:0.6, and the loading frequency is controlled to be adjusted between 0.5-5 Hz to reproduce the seismic action under different site conditions.

[0084] Therefore, the application realizes three-way composite loading through a multi-degree-of-freedom hydraulic actuator, dynamically adjusts a loading strategy in combination with a loading parameter controller, accurately simulates a dynamic stress process of complex working conditions such as earthquakes, avoids the limitation of single-direction loading, and improves the authenticity of test working conditions.

[0085] In some embodiments, the distributed sensing device 130 is configured to acquire stress data, strain data and displacement data of the fabricated building component to be tested in real time.

[0086] Optionally, in combination with the distributed sensing device 130, the test device 100 further comprises a loading device 140. Figure 1 As shown in the figure, the loading device 140 can comprise a multi-degree-of-freedom hydraulic actuator 141 and a loading parameter controller 142. Figure 3 As shown in the figure, the distributed sensing device 130 can comprise a distributed sensor network 131, an edge computing module 132 and a cloud platform interaction interface 133.

[0087] In some embodiments, the distributed sensor network 131 is configured to collect stress data, strain data and displacement data of the fabricated building component to be tested.

[0088] For example, for the test requirement of a precast beam component, the distributed sensor network 131 can be arranged with 1 row of resistance strain gauges on the upper and lower edges of the cross section, 5 gauges in each row, uniformly distributed at an interval of 5 cm, a sensitive grid size of 3 mm x 2 mm, a resistance value of 120 ± 0.1 Ω, a sensitivity coefficient of 2.08 ± 1%, and a working temperature range of -30℃ ~ 80℃.

[0089] In use, the strain gauges are pasted on the surface of the component by glue, and the surface of the component is polished by sandpaper before pasting to expose fresh concrete, so as to ensure good bonding between the strain gauges and the component, and the bonding layer thickness is controlled within 0.05 mm to reduce measurement error.

[0090] Further, fiber bragg grating (FBG) sensors can also be arranged in a distributed array in the connection joint area (such as the beam-column joint core area) of the beam and the column. For example, 1 sensor can be arranged every 10 cm along the height direction of the joint, and a total of 5 sensors are arranged, the center wavelength of the sensor is 1550 ± 5 nm, the wavelength drift is 0-10 nm, the corresponding strain measurement range is 0-3000 με, and the resolution is 1 με.

[0091] In use, the FBG sensor is packaged in a stainless steel tube, the steel tube has a length of 50 mm, and one end is fixed on the joint stirrup by a binding tape to ensure that the sensor deforms synchronously with the component.

[0092] Further, a non-contact measurement method can also be used, and a laser displacement sensor is arranged at the support at both ends of the component and at the midspan position, the measurement range of the sensor is set to 0-300 mm, the resolution is 0.01 mm, and the sampling frequency is 100 Hz.

[0093] In use, the laser emitting end of the laser displacement sensor is fixed to the side of the test bench by a tripod, and the laser beam is vertically irradiated on the reflecting sheet (such as a size of 20 mm x 20 mm) on the surface of the component, and the reflecting sheet is pasted at the position of the central axis of the component to obtain the vertical deflection and horizontal displacement data of the component in the loading process.

[0094] In addition, a tension sensor can also be installed on the hydraulic cylinder piston rod of the multi-directional loading device 120, with a range of 0-1000 kN and an accuracy of 0.1% of the full scale, for real-time monitoring of the actual loading force value, forming a load feedback closed loop.

[0095] In some embodiments, the edge computing module 132 is used for preprocessing stress data, strain data and displacement data.

[0096] Exemplarily, the edge computing module 132 can use an industrial-grade edge computing gateway, equipped with a dual-core processor (such as a main frequency of 1 GHz), with 2 GB of memory and 16 GB of flash memory, supporting -40℃~70℃ working, adapting to the complex laboratory environment.

[0097] Exemplarily, the edge computing module 132 can be connected with the distributed sensor network 131 through the RS485 bus, and the raw data (such as the resistance change of the strain gauge, the wavelength drift of the FBG sensor, and the distance value of the displacement sensor) is read to the local cache.

[0098] In use, the preprocessing process can be filtered by three levels of data cleaning algorithms: the first level is amplitude limiting filtering, which eliminates data beyond the sensor range (such as strain gauge data exceeding ±5000με is directly discarded); the second level is sliding average filtering, which takes the average value of 10 consecutive sampling points, smooths the high-frequency noise generated by environmental vibration, and controls the data fluctuation amplitude within ±0.5με; the third level is trend filtering, which eliminates abnormal values deviating from the curve by more than 3 times the standard deviation through least squares fitting of the data curve.

[0099] Further, the resistance change ΔR of the strain gauge is converted into the engineering strain value through formula (I).

[0100] Formula (I)

[0101] Wherein, ε is the strain value, unit με; R is the nominal resistance of the strain gauge 120Ω; K is the sensitivity coefficient 2.08.

[0102] Further, the wavelength drift Δλ of the FBG sensor is converted into the strain value through formula (II).

[0103] Formula (II)

[0104] wherein, is the central wavelength 1550 nm; Kλis the wavelength strain sensitivity 1.2 pm / με.

[0105] Further, the distance value of the displacement sensor is converted into the actual displacement of the component (such as the mid-span displacement = initial distance - real-time distance), and a time stamp, a sensor identification (ID), and installation position information are added to each data to form a structured data frame. For example, the format is "time stamp, sensor ID, position, physical quantity, value, unit".

[0106] In some embodiments, the cloud platform interaction interface 133 is used for remote transmission and storage of the pre-processed stress data, strain data, and displacement data.

[0107] Exemplarily, the cloud platform interaction interface 133 can adopt a dual-mode communication module of Ethernet and the fifth generation mobile communication network (5G), and support transmission control protocol (TCP) / internet protocol (IP).

[0108] In use, when the wired network of the test site is stable, the laboratory local area network is connected through the gigabit Ethernet interface; when the network fluctuates or is disconnected, it is automatically switched to 5G communication to ensure the continuity of data transmission.

[0109] Exemplarily, the data transmission can adopt the message queuing telemetry transport protocol (MQTT) to transmit the data to the cloud server. The database of the cloud server can adopt the MySQL relational database to store the data according to the four-level structure of "test number-component type-sensor type-time".

[0110] Specifically, the data table field can include a time stamp, a sensor ID, position information, a physical quantity name, a measurement value, and a data state (such as normal / abnormal). The database supports multi-condition queries according to the time range, sensor type, or physical quantity, for example, provides an application programming interface (API) to support test personnel to call the API interface to obtain real-time data or historical data through a remote terminal (such as a computer or a mobile phone).

[0111] In addition, remote access requires facial recognition or dynamic password verification and adopts hierarchical permission management (e.g., administrators can modify parameters, while observers can only view data).

[0112] Thus, this application synchronously collects multi-parameter data through a distributed sensor network, performs local preprocessing by the edge computing module to reduce transmission latency, and supports remote monitoring and data traceability through the cloud platform interface, forming an integrated "collection-processing-storage" process, which improves data timeliness and management efficiency.

[0113] In some embodiments, the intelligent control device 140 is used to dynamically adjust the loading parameters of the multi-directional loading device based on data collected by the distributed sensing device.

[0114] Optionally, combined Figure 1 ,like Figure 4 As shown, the intelligent control device 140 may include an intelligent analysis module 141 and a digital twin modeling module 142.

[0115] In some embodiments, the intelligent analysis module 141 is used to perform component response analysis on the data collected by the distributed sensing device and generate dynamic loading adjustment instructions.

[0116] For example, the intelligent analysis module 141 can be deployed on an industrial control computer to receive preprocessed structured data frames from the edge computing module 132 via Ethernet.

[0117] In this embodiment, the intelligent analysis module 141 can have a built-in mechanical analysis algorithm library to preset analysis models for different component types.

[0118] For example, for beam members, the section bending moment can be calculated based on the section strain data using formula (iii), and the shear force can be calculated based on the balance relationship between support reaction and load.

[0119] Formula (3)

[0120] Formula (3)

[0121] Where α is the section modulus, taken as 0.85 for rectangular sections; E is the elastic modulus of concrete, 3.0 × 10⁻⁶. 4 MPa; I is the moment of inertia of the cross section; ρ is the maximum strain of the cross section; h is the height of the cross section.

[0122] For example, for column members, the axial compression ratio (such as axial pressure / section area / concrete axial compressive strength) and slenderness ratio influence coefficient can be identified through longitudinal strain data.

[0123] For example, when the strain of the root of the prefabricated column component is detected to reach the yield strain of the concrete, it is automatically determined that the component enters the plastic stage, triggering the early warning mechanism.

[0124] For another example, when the mid-span deflection reaches 1 / 50 of the span of the beam (e.g., the deflection of a 6m beam reaches 120mm), it is determined that the component has a large deformation.

[0125] Further, the degree of stiffness degradation of the component is identified in combination with the change in the slope of the load-displacement curve, and when the slope of the curve decreases by 30% from the initial stage, a loading parameter adjustment instruction is generated, which includes parameters such as target loading force, loading rate, loading direction, execution time, etc., and is sent to the loading parameter controller 122 through the bus.

[0126] In addition, an adjustment instruction transmission timeout time (e.g., 500ms) can also be set, and if no confirmation is received within the timeout, the adjustment instruction is resent to ensure the reliability of the execution of the adjustment instruction.

[0127] In some embodiments, the digital twin modeling module 142 is used to build a virtual mapping model of the test process.

[0128] For example, the digital twin modeling module 142 can establish a three-dimensional geometric model of the prefabricated building component to be tested based on a building information model (BIM), which includes detailed component dimensions, reinforcement information, and connection node structure.

[0129] For example, for a 6m long prefabricated beam, the model is subdivided to the diameter, spacing, and bending angle of each longitudinal reinforcement, as well as the arrangement of stirrups (e.g., encryption area / non-encryption area distinction).

[0130] For example, the digital twin modeling module 142 can receive real-time load data (e.g., X-axis loading force, Y-axis loading force, Z-axis loading force, torque) and sensor data (e.g., strain data, displacement data) of the physical test through the developed interface program (e.g., using TCP / IP protocol), convert the load data into boundary conditions of the model (e.g., displacement constraint, concentrated force load), update the model state, and drive the virtual mapping model to perform stress simulation. The simulation results include stress contour, strain distribution, and displacement deformation animation of the component.

[0131] In addition, the state of the virtual mapping model is kept synchronized with the real-time state of the physical test.

[0132] In this way, the present application analyzes the component response in real time through the intelligent analysis module and generates loading instructions, and builds a virtual test model in combination with the digital twin modeling module, thereby achieving "physical test-digital simulation" two-way verification, and optimizing the scientificity and control accuracy of the test decision.

[0133] Optionally, in combination withFigure 4 As shown in Figure 5 The intelligent analysis module 141 can include a response feature identification unit 141a and a loading scheme optimization unit 141b.

[0134] In some embodiments, the response feature identification unit 141a is configured to identify the mechanical response features of the prefabricated building component to be tested according to the data collected by the distributed sensing device.

[0135] For example, the response feature identification unit 141a can be developed using a programming language such as Python, and a feature identification model can be built based on a machine learning library to perform sliding window analysis on the node area stress data collected by the distributed sensor network 131.

[0136] Specifically, the feature vector is constructed by extracting the time domain features of the stress data (such as peak value, valley value, average value, variance, kurtosis), and by extracting the frequency domain features (such as main frequency, spectral energy distribution) through fast Fourier transform (FFT).

[0137] Further, a support vector machine (SVM) algorithm is used to train a classification model to identify the stress concentration areas of the connecting nodes.

[0138] For example, when the stress value of a certain sensor exceeds the average value of the surrounding sensors by 30% for 3s, and the stress growth rate exceeds 200με / s, the area is determined to be a stress concentration area (such as the corner bolt connection of the beam-column joint), and the stress concentration degree (mild / moderate / severe, corresponding to 30%-50%, 50%-80%, and 80% or more than the average value, respectively) is marked.

[0139] Further, the first derivative of the strain-time curve can also be analyzed, and when the absolute value of the derivative suddenly increases to more than twice the initial stage, it is determined that the component has stiffness degradation phenomenon, and the characteristic parameters such as the time, position, and degradation rate of the degradation are recorded and sent to the loading scheme optimization unit 141b through an internal message queue.

[0140] In some embodiments, the loading scheme optimization unit 141b is configured to generate dynamic loading adjustment instructions according to the mechanical response features.

[0141] For example, the loading scheme optimization unit 141b can have an optimization strategy rule library built-in, and use production representation method.

[0142] In one example, when a mild stress concentration signal (such as stress exceeding the average value by 30%-50%) marked by the response feature recognition unit 141a is received, the first rule is triggered: "If the stress concentration level = mild and the strain rate increase ≤ 500 με / s, then maintain the current loading force and reduce the loading rate to 70% of the original rate", generating an adjustment instruction to multiply the rate set value of the loading parameter controller 122 by 0.7 and keep the loading force unchanged.

[0143] In another example, when the response feature identification unit 141a receives a moderate stress concentration (e.g., stress exceeding the average value by 50%-80%) and the strain rate increase is >500με / s, the second rule is triggered: "If the stress concentration level = moderate and the strain rate increase is >500με / s, then pause loading for 5s, maintain the current loading force, and start a local unloading procedure (e.g., unloading amount 10%)", generating an adjustment command to pause loading of the loading device, reduce the loading force in the corresponding direction by 10% within 5s, and observe the stress change trend.

[0144] In another example, when a severe stress concentration (e.g., stress exceeding 80% of the average value) marked by the response feature recognition unit 141a is received, or when a component cracking signal is detected with the assistance of an acoustic emission sensor, an emergency rule is triggered: "If the stress concentration level = severe, or a cracking signal is detected, immediately suspend loading, start an omnidirectional unloading procedure, and reduce the loading force to 30% of the initial value," generating an adjustment command to uniformly unload all hydraulic cylinders to 30% of the initial force within 10 seconds and maintain this state.

[0145] Optionally, after modulation according to the adjustment instructions, if the test personnel check the condition of the component and find that the stress concentration has decreased to below a slight level and the strain rate has returned to normal, the original loading rate can be gradually restored.

[0146] Thus, this application extracts key indicators of the mechanical behavior of components through the response feature recognition unit, and the loading scheme optimization unit dynamically adjusts the loading path based on the recognition results, forming a closed-loop control mechanism, avoiding the lag of manual intervention and improving the adaptability of the test process.

[0147] Optionally, combined Figure 4 ,like Figure 6 As shown, the digital twin modeling module 142 may include: a physical parameter mapping unit 142a and a virtual-real comparison analysis unit 142b.

[0148] In some embodiments, the physical parameter mapping unit 142a is used to map the physical properties of the prefabricated building component to be tested to a virtual mapping model in real time.

[0149] Exemplarily, the physical parameter mapping unit 142a can extract key attribute parameters of the physical member, including deformation parameters and material damage parameters, by analyzing real-time data of the distributed sensing device 130.

[0150] Specifically, the extraction of the deformation parameters can include: measuring the mid-span deflection by using a laser displacement sensor, calculating the rotation angle of the beam end by the difference between the two displacement sensors (e.g., beam end rotation angle = (end displacement - mid-span displacement) / span), and calculating the torsion angle by the torque sensor and the length of the member; the material damage parameters can be identified by the strain data.

[0151] For example, when the strain of a certain area exceeds the ultimate tensile strain of concrete, it is determined that micro-cracks occur in the area, which is marked as a damage area, and the damage degree is graded according to the strain exceeding value (e.g., slight damage: 200-500με; moderate damage: 500-1000με; severe damage: >1000με).

[0152] Further, the extracted key attribute parameters are converted into correction parameters of the virtual mapping model: for the deformation parameters, directly as the displacement boundary conditions of the virtual mapping model, updating the geometric shape of the model (e.g., when the mid-span deflection is 20 mm, the corresponding position of the virtual mapping model is simultaneously lowered by 20 mm); for the material damage parameters, the elastic modulus of the concrete in the damage area is reduced (e.g., slight damage reduction of 10%, moderate damage reduction of 30%, and severe damage reduction of 50%), and the color marking of the damage area (e.g., green = slight, yellow = moderate, and red = severe) is displayed in the virtual mapping model, so that the physical properties of the virtual mapping model are dynamically consistent with the actual member.

[0153] In some embodiments, the virtual-real comparison analysis unit 142b is configured to compare the virtual mapping model with the performance data of the physical test to optimize the test process.

[0154] In the embodiments of the present application, the virtual-real comparison analysis unit 142b can perform periodic (every 2 seconds) comparison analysis, select the strain data and displacement data of key monitoring points (e.g., mid-span, support, and node core area) as comparison indexes, and calculate the relative deviation of the simulation value of the virtual mapping model and the measured value of the physical test. For example, the relative deviation can be calculated by the formula (deviation = |simulation value - measured value| / measured value x 100%).

[0155] In an alternative implementation, when the calculated relative deviation is ≤5%, it is determined that the virtual mapping model is in good consistency with the physical test, and no adjustment is needed.

[0156] In another alternative implementation, when the calculated relative deviation is >5% and ≤10%, a slight correction process is started: analyzing the area with larger deviation.

[0157] In an example, if the material parameter setting of the virtual mapping model is unreasonable (e.g., the elastic modulus of concrete deviates from the actual value), the corrected material parameter (e.g., elastic modulus = original elastic modulus x (measured value / simulation value)) is calculated by the least square method, and the virtual mapping model is updated.

[0158] In another example, if there is an error in the loading of the physical test (e.g., the loading force deviates from the target value by more than 2%), a loading calibration instruction is generated and sent to the loading parameter controller 122 to adjust the loading force (e.g., adjustment amount = target value x (1-measured value / simulation value)).

[0159] In another optional implementation, when the calculated relative deviation is greater than 10%, a deep correction process is started, the test loading is paused (i.e., the current load is maintained), and the sensor connection state is determined by the communication signal strength. The grid division quality and boundary condition setting of the virtual mapping model are determined by checking the distortion rate of the unit.

[0160] In an example, if it is found that the sensor is loose (e.g., the signal fluctuation is more than 10%), an audible and visual alarm is issued to prompt the test personnel to re-fix it.

[0161] In another example, if the model grid distortion rate exceeds 5%, the grid is automatically re-divided and recalculated.

[0162] In addition, after the correction is completed, the test loading is resumed and the deviation is continuously monitored until the relative deviation is less than or equal to 5%.

[0163] In this way, the present application synchronizes the component attributes to the virtual model in real time through the physical parameter mapping unit, checks the deviation between the test data and the simulation result through the virtual-real comparison analysis unit, realizes dynamic correction during the test process, and strengthens the reliability of the test result under complex working conditions.

[0164] In the assembly type building structure performance test platform provided in the embodiments of the present application, the standardized interface and reconfigurable design of the modular test device realize the rapid adaptation of different types of components, reducing the test preparation time; the multi-directional loading device synchronously applies horizontal, vertical and torsional composite loads, more realistically simulating the stress state of the component under complex working conditions such as earthquakes; the distributed sensing device is densely deployed at key positions, and the real-time analysis of the collected data by the intelligent control device can dynamically capture the transient response characteristics of the component; the intelligent control device automatically adjusts the loading parameters based on real-time data, avoiding the lag of manual intervention, thereby improving the response speed and data accuracy of the test process under complex working conditions, and further improving the real-time performance and accuracy of the test platform.

[0165] The following Figure 7 The assembly type building structure performance test method provided in the embodiments of the present application is described.

[0166] Figure 7 The method flowchart of the method for testing the performance of the fabricated building structure provided in the embodiments of the present application can be a main body for executing the method, which can be the fabricated building structure performance test platform 100 shown in Figure 1 The main body for executing the method can also be each device / module in the fabricated building structure performance test platform 100, such as an integrated circuit or a chip, which is not specifically limited in the embodiments of the present application.

[0167] Exemplarily, as shown in Figure 7 The fabricated building structure performance test platform provided in the embodiments of the present application can include the following S701 to S704:

[0168] S701, the reconfigurable functional modules of the modular test device are combined through the standardized interfaces to install the fabricated building components to be tested.

[0169] Optionally, the reconfigurable functional modules of the modular test device include a foundation beam module, a connection joint clamp module and a component support module, which are combined through the standardized interfaces to adapt to the installation requirements of the fabricated building components to be tested, such as beams, plates, columns and connection joints.

[0170] S702, the multi-directional loading device is used to apply a composite load in the horizontal, vertical and torsional directions to the fabricated building components to be tested.

[0171] Optionally, the multi-directional loading device realizes the composite loading in the horizontal, vertical and torsional directions through a multi-degree-of-freedom hydraulic actuator, and dynamically adjusts the loading force, loading rate and loading direction parameters through a loading parameter controller.

[0172] S703, the distributed sensing device is used to collect stress data, strain data and displacement data of the fabricated building components to be tested in real time.

[0173] Optionally, the distributed sensing device collects the stress data, strain data and displacement data of the fabricated building components to be tested through a distributed sensor network, and then pre-processes the stress data, strain data and displacement data through an edge computing module, and remotely transmits and stores the pre-processed stress data, strain data and displacement data through a cloud platform interaction interface.

[0174] S704, based on the data collected by the distributed sensing device, the intelligent control device is used to dynamically adjust the loading parameters of the multi-directional loading device.

[0175] Optionally, the intelligent control device performs component response analysis on the data collected by the distributed sensing device through an intelligent analysis module, and generates a dynamic loading adjustment instruction, and at the same time, constructs a virtual mapping model of the test process through a digital twin modeling module.

[0176] In some embodiments, the intelligent analysis module described above identifies the mechanical response characteristics of the fabricated building component to be tested according to the data collected by the distributed sensing device through the response feature identification unit, and generates dynamic loading adjustment instructions according to the mechanical response characteristics through the loading scheme optimization unit.

[0177] In some embodiments, the digital twin modeling module described above maps the physical properties of the fabricated building component to be tested to the virtual mapping model in real time through the physical parameter mapping unit, and compares the virtual mapping model with the performance data of the physical test through the virtual-real comparison analysis unit to optimize the test process.

[0178] It should be noted that the detailed description of the method embodiment part in the present application can refer to the related description of the platform embodiment part described above, and to avoid repetition, it will not be repeated here.

[0179] In the fabricated building structure performance test method provided in the embodiments of the present application, the standardized interface and reconfigurable design of the modular test device achieve rapid adaptation of different types of components, reducing the test preparation time; the multi-directional loading device synchronously applies horizontal, vertical and torsional composite loads, more realistically simulating the stress state of the component under complex working conditions such as earthquakes; the distributed sensing device is densely deployed at key positions, combined with real-time analysis of the collected data by the intelligent control device, which can dynamically capture the transient response characteristics of the component; the intelligent control device automatically adjusts the loading parameters based on real-time data, avoiding the hysteresis of manual intervention, thereby improving the response speed and data accuracy of the test process under complex working conditions, and further improving the real-time and accuracy of the test platform.

[0180] Figure 8 A structural diagram of an electronic device provided in the embodiments of the present application is shown in FIG. 8. Figure 8 As shown in FIG. 8, the electronic device 800 includes but is not limited to a processor 801 and a memory 802.

[0181] The memory 802 described above is used to store executable instructions of the processor 801. It can be understood that the processor 801 is configured to execute the instructions to implement the fabricated building structure performance test platform in the embodiments described above.

[0182] It should be noted that those skilled in the art can understand that the electronic device structure shown in the embodiments of the present application does not constitute a limitation on the electronic device, and the electronic device can include more or fewer components than those shown in the embodiments of the present application, or combine certain components, or different component arrangements. Figure 8 Figure 8 It should be noted that those skilled in the art can understand that the electronic device structure shown in the embodiments of the present application does not constitute a limitation on the electronic device, and the electronic device can include more or fewer components than those shown in the embodiments of the present application, or combine certain components, or different component arrangements.

[0183] ​The processor 801 is the control center of the electronic device, connects various parts of the entire electronic device through various interfaces and lines, executes various functions of the electronic device and processes data by running or executing software programs and / or modules stored in the memory 802 and calling data stored in the memory 802, thereby overall monitoring the electronic device. The processor 801 can include one or more processing units. Alternatively, the processor 801 can integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 801.

[0184] The memory 802 can be used to store software programs and various data. The memory 802 can mainly include a program storage area and a data storage area, wherein the program storage area can store the operating system, the application programs (such as determination units, processing units, etc.) required by at least one function module, etc. In addition, the memory 802 can include a high-speed random access memory, and can also include a non-volatile memory, for example, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state memory device.

[0185] In the exemplary embodiments, a computer readable storage medium including instructions is also provided, for example, the memory 802 including instructions, which can be executed by the processor 801 of the electronic device 800 to implement the prefabricated building structure performance test platform in the above-mentioned embodiments.

[0186] Alternatively, the computer readable storage medium can be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0187] In the exemplary embodiments, the embodiments of the present application also provide a computer program product including one or more instructions, which can be executed by the processor 801 of the electronic device to complete the prefabricated building structure performance test platform in the above-mentioned embodiments.

[0188] It should be noted that the instructions in the above-mentioned computer readable storage medium or the one or more instructions in the computer program product are executed by the processor of the electronic device to realize each process of the above-mentioned method embodiments, and can achieve the same technical effects as the above-mentioned method. To avoid repetition, it will not be repeated here.

[0189] Through the description of the above embodiments, those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of functional modules is taken as an example, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete the whole classification or part of the functions described above.

[0190] In several embodiments provided in the present application, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of modules or units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or components shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0191] The units described as separate components can or can not be physically separated, and the components shown as units can be one physical unit or multiple physical units, that is, can be located in one place or can be distributed to multiple different places. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0192] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0193] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical scheme of the embodiment of the present application essentially or the part that contributes to the prior art or the whole classification or part of the technical scheme can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for causing an apparatus (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute the whole classification or part of the steps of the method of each embodiment of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a ROM, a RAM, a magnetic disk or an optical disk, and various storage program codes.

[0194] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A platform for performance testing of fabricated building structures, characterized in that The platform comprises: A modular test device integrated with standardized interfaces and reconfigurable functional modules for mounting prefabricated building components to be tested; A multidirectional loading device connected to the modular test device for applying combined loads in horizontal, vertical and torsional directions to the prefabricated building components to be tested; A distributed sensing device deployed at key positions of the prefabricated building components to be tested for real-time acquisition of stress data, strain data and displacement data of the prefabricated building components to be tested; An intelligent control device communicatively connected to the multidirectional loading device and the distributed sensing device for dynamically adjusting loading parameters of the multidirectional loading device based on data collected by the distributed sensing device; The distributed sensing device comprises: A distributed sensor network for collecting the stress data, strain data and displacement data of the prefabricated building components to be tested; An edge computing module for preprocessing the stress data, strain data and displacement data; A cloud platform interaction interface for remote transmission and storage of the preprocessed stress data, strain data and displacement data.

2. The assembled building structure performance test platform according to claim 1, wherein, The multidirectional loading device comprises: A multi-degree-of-freedom hydraulic actuator for realizing combined loading in horizontal, vertical and torsional directions; A loading parameter controller for dynamically adjusting loading force, loading rate and loading direction parameters.

3. The assembled building structure performance test platform according to claim 1, wherein, The reconfigurable functional modules comprise a foundation slab module, a connection node clamp module and a component support module; For adapting to the mounting requirements of the prefabricated building components to be tested such as beams, plates, columns and connection nodes through the combination of the standardized interfaces.

4. The assembled building structure performance test platform according to claim 1, wherein, The intelligent control device comprises: An intelligent analysis module for component response analysis of data collected by the distributed sensing device and generation of dynamic loading adjustment instructions; A digital twin modeling module for constructing a virtual mapping model of the test process.

5. The assembled building structure performance test platform according to claim 4, wherein, The intelligent analysis module comprises: A response feature recognition unit for identifying mechanical response features of the prefabricated building components to be tested based on data collected by the distributed sensing device; A loading scheme optimization unit for generating the dynamic loading adjustment instructions based on the mechanical response features.

6. The assembled building structure performance test platform according to claim 4, wherein, The digital twin modeling module comprises: A physical parameter mapping unit for real-time mapping of physical properties of the prefabricated building components to be tested to the virtual mapping model; A virtual-real comparative analysis unit for comparing the virtual mapping model with performance data of physical tests to optimize the test process.

7. A method of performance testing a fabricated building structure, characterized by, The platform comprises: A modular test device integrated with standardized interfaces and reconfigurable functional modules for mounting prefabricated building components to be tested; A multidirectional loading device connected to the modular test device for applying combined loads in horizontal, vertical and torsional directions to the prefabricated building components to be tested; A distributed sensing device deployed at key positions of the prefabricated building components to be tested for real-time acquisition of stress data, strain data and displacement data of the prefabricated building components to be tested; An intelligent control device communicatively connected to the multidirectional loading device and the distributed sensing device for dynamically adjusting loading parameters of the multidirectional loading device based on data collected by the distributed sensing device; The distributed sensing device comprises: A distributed sensor network for collecting the stress data, strain data and displacement data of the prefabricated building components to be tested; An edge computing module for preprocessing the stress data, strain data and displacement data; A cloud platform interaction interface for remote transmission and storage of the preprocessed stress data, strain data and displacement data. The multidirectional loading device comprises: A multi-degree-of-freedom hydraulic actuator for realizing combined loading in horizontal, vertical and torsional directions; A loading parameter controller for dynamically adjusting loading force, loading rate and loading direction parameters. The reconfigurable functional modules comprise a foundation slab module, a connection node clamp module and a component support module; For adapting to the mounting requirements of the prefabricated building components to be tested such as beams, plates, columns and connection nodes through the combination of the standardized interfaces. The intelligent control device comprises: An intelligent analysis module for component response analysis of data collected by the distributed sensing device and generation of dynamic loading adjustment instructions; A digital twin modeling module for constructing a virtual mapping model of the test process. The intelligent analysis module comprises: A response feature recognition unit for identifying mechanical response features of the prefabricated building components to be tested based on data collected by the distributed sensing device; A loading scheme optimization unit for generating the dynamic loading adjustment instructions based on the mechanical response features. The digital twin modeling module comprises: A physical parameter mapping unit for real-time mapping of physical properties of the prefabricated building components to be tested to the virtual mapping model; A virtual-real comparative analysis unit for comparing the virtual mapping model with performance data of physical tests to optimize the test process. The stress data, strain data and displacement data of the fabricated building component to be tested are collected in real time by the distributed sensing device; Based on the data collected by the distributed sensing device, the loading parameters of the multi-directional loading device are dynamically adjusted by the intelligent control device.

8. An electronic device, comprising: Comprise: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the fabricated building structure performance test method of claim 7.

9. A computer-readable storage medium having stored therein instructions, the computer-readable storage medium comprising: When a computer executes the instructions, the computer executes the fabricated building structure performance test method of claim 7.

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