Dynamic environment adjustment method for hyperbolic glass curtain wall structural adhesive damage detection

Abstract

The invention provides a dynamic environment adjustment method for hyperbolic glass curtain wall structural adhesive damage detection. The method comprises the following steps: acquiring detection environment parameters corresponding to a hyperbolic glass curtain wall, which are acquired by a preset multi-source environment sensing array in real time; outputting a first adjusting signal of an ultrasonic detection module and a second adjusting signal of an infrared thermal imaging module corresponding to structural adhesive damage detection according to the detection environment parameters; the first adjusting signal is used for adjusting the frequency and power of the ultrasonic detection module, and the second adjusting signal is used for adjusting the sensitivity of the infrared thermal imaging module; a coupling agent spraying device and a waveform generator of the ultrasonic transmitting module are adjusted according to the first adjusting signal, and an optical filtering assembly of the infrared thermal imaging module is adjusted according to the second adjusting signal; reflected wave signal characteristics of the structural adhesive of the hyperbolic glass curtain wall are obtained according to the ultrasonic transmitting module, temperature field distribution characteristics of the structural adhesive are obtained according to the infrared thermal imaging module, and damage detection of the structural adhesive is completed.

Description

Technical Field

[0001] The present application relates to the technical field of defect detection, and in particular to a dynamic environment adjustment method for damage detection of structural adhesive of a hyperbolic glass curtain wall. Background Art

[0002] As a building facade with a high curvature, the hyperbolic curtain wall plays an important role in aesthetic design and structural function. As the exterior wall enclosure of the building, the hyperbolic curtain wall will inevitably be affected by the changing conditions of the links during the detection, so the results become unstable for the detection. Nowadays, most dynamic link adjustments are based on the detection system and signal processing, such as the dynamic environment adjustment of ultrasonic detection. According to the real-time monitoring of environmental temperature, humidity and other parameters, the transmission power and frequency of the ultrasonic transmitter are dynamically adjusted, and the signal-to-noise ratio of the signal is improved by filtering, noise reduction and other means, so as to more accurately identify the damage signal in the structural adhesive. The dynamic link adjustment of infrared thermal imaging is mainly based on image processing of infrared thermal images, such as enhancing contrast, sharpening edges, etc., to improve the readability and accuracy of the image, and further identify and analyze the damage in the structural adhesive through technical means such as image segmentation and feature extraction. These are based on sensors and parameters as the main means.

[0003] The prior art has at least the following problems:

[0004] 1. Insufficient environmental adaptability: Despite the introduction of a dynamic environmental adjustment mechanism, existing technologies may still not be able to fully adapt to detection needs under extreme environmental conditions. For example, in extremely high or low temperature environments, the propagation characteristics of ultrasound and the temperature measurement accuracy of infrared thermal imaging may be affected.

[0005] 2. Limited detection accuracy: Due to the complex shape of the hyperbolic glass curtain wall and the slight damage of the structural adhesive, it may be difficult for existing technologies to achieve very high detection accuracy. This may cause some damage to be missed or misjudged.

[0006] Therefore, a method is urgently needed to solve at least one of the above problems. Summary of the invention

[0007] The present application provides a dynamic environmental adjustment method for damage detection of structural adhesives of hyperbolic glass curtain walls, aiming to solve the problem that the existing technology has at least insufficient environmental adaptability: despite the introduction of a dynamic environmental adjustment mechanism, the existing technology may still not be able to fully adapt to the detection needs under extreme environmental conditions. For example, in extremely high or low temperature environments, the propagation characteristics of ultrasound and the temperature measurement accuracy of infrared thermal imaging may be affected. And the detection accuracy is limited: due to the complex shape of the hyperbolic glass curtain wall and the slight damage to the structural adhesive, the existing technology may find it difficult to achieve very high detection accuracy. This may lead to the problem of some damage being missed or misjudged.

[0008] In a first aspect, the present application provides a dynamic environment adjustment method for damage detection of structural adhesive of a hyperbolic glass curtain wall, comprising:

[0009] Obtain a preset multi-source environment sensing array to collect detection environment parameters corresponding to the hyperbolic glass curtain wall in real time; the multi-source environment sensing array includes at least a temperature sensor, a humidity sensor and a light sensor;

[0010] Output a first adjustment signal of the ultrasonic detection module and a second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters; the first adjustment signal is used to adjust the frequency and power of the ultrasonic detection module, and the second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module;

[0011] The coupling agent injection device and the waveform generator of the ultrasonic emission module are adjusted according to the first adjustment signal, and the optical filter component of the infrared thermal imaging module is adjusted according to the second adjustment signal;

[0012] Acquire the reflected wave signal characteristics of the structural adhesive of the hyperbolic glass curtain wall according to the ultrasonic emission module, and acquire the temperature field distribution characteristics of the structural adhesive according to the infrared thermal imaging module;

[0013] The damage detection of the structural adhesive is completed according to the reflected wave signal characteristics and the temperature field distribution characteristics.

[0014] In some embodiments, the first adjustment signal of the ultrasonic detection module and the second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters are output, including: constructing a dynamic environment compensation algorithm model; inputting the detection environment parameters into the dynamic environment algorithm compensation model, and outputting the first adjustment signal and the second adjustment signal.

[0015] Exemplarily, the construction of the dynamic environment compensation algorithm model includes: establishing a temperature correction coefficient for the ultrasonic propagation velocity based on the Arrhenius equation, and constructing a temperature compensation submodule according to the temperature correction coefficient; using a Fresnel reflection model to calculate the air-medium interface reflection damage compensation value to construct a humidity influence submodule; eliminating the interference of solar radiation on infrared temperature measurement through an adaptive filtering algorithm to construct a light interference submodule; and constructing the dynamic environment compensation algorithm model according to the temperature compensation submodule, the humidity influence submodule and the light interference submodule.

[0016] It should be noted that, in some embodiments, the expression of the temperature correction coefficient includes:

[0017] ;

[0018] Said is the temperature correction coefficient, For calibration temperature The reference wave speed under is the activation energy corresponding to the structural adhesive, is the gas constant, is the ambient temperature corresponding to the hyperbolic glass curtain wall, is the ambient temperature variation amplitude, indicating the maximum variation amplitude of the ambient temperature relative to the calibration temperature, is the thermal sensitivity coefficient of the structural adhesive.

[0019] It should be noted that, in some embodiments, the expression of the air-medium interface reflection damage compensation value includes:

[0020] ;

[0021] is the air-medium interface reflection damage compensation value, Humidity-air acoustic impedance, which indicates the resistance of air to ultrasonic propagation under different humidity conditions. Changes in humidity will cause changes in air acoustic impedance. represents the couplant acoustic impedance corresponding to the couplant spraying device, is the current humidity corresponding to the hyperbolic glass curtain wall, is the critical humidity threshold, The impedance matching factor is used to adjust the matching relationship between the air acoustic impedance and the coupling agent acoustic impedance caused by humidity changes to achieve a better compensation effect. is the adjustment coefficient used to control the hyperbolic tangent function The curve shape and rate of change of Can accurately describe the effect of humidity on the reflection damage compensation value, It is a temperature-dependent exponential parameter used to reflect the combined effect of temperature and humidity on the air-medium interface reflection damage compensation value.

[0022] In some embodiments, the damage detection of the structural adhesive is completed based on the reflected wave signal characteristics and the temperature field distribution characteristics, including: fusing the reflected wave signal characteristics and the temperature field distribution characteristics to obtain multimodal fusion data; and completing the damage detection of the structural adhesive based on the multimodal fusion data.

[0023] Exemplarily, the fusing of the reflected wave signal features and the temperature field distribution features to obtain multimodal fusion data includes: extracting features of the reflected wave signal features based on wavelet packet decomposition to obtain wavelet packet features; performing morphological edge enhancement processing on the temperature field distribution features; and fusing the wavelet packet features and the enhanced temperature field distribution features based on a feature layer fusion architecture constructed based on an attention mechanism to obtain the multimodal fusion data.

[0024] In some embodiments, after completing the damage detection of the structural adhesive according to the reflected wave signal characteristics and the temperature field distribution characteristics, it also includes: obtaining the damage position and damage type corresponding to the damage detection; calculating the damage extension trend prediction value corresponding to the damage position and damage type according to a preset damage edge gradient analysis algorithm; and generating a damage warning according to the damage extension trend prediction value.

[0025] In some embodiments, the coupling agent injection device includes: a piezoelectric microfluidic injector, the piezoelectric microfluidic injector has a temperature feedback function; a coupling agent storage bin, the coupling agent storage bin automatically switches to any one of a water-based coupling agent storage bin and an oil-based coupling agent storage bin according to different ambient humidity.

[0026] Exemplarily, the coupling agent storage bin includes: a water-based coupling agent chamber, in which a PTFE anti-corrosion lining is provided; an oil-based coupling agent chamber, in which a nano-hydrophobic coating is provided; and a transition isolation chamber, in which a shape memory alloy valve is provided; wherein, when the ambient humidity is less than 60% RH, the solenoid valve corresponding to the water-based coupling agent is opened, and the piezoelectric stop valve of the oil-based coupling agent is closed.

[0027] In a second aspect, the present application provides a dynamic environment adjustment device for damage detection of structural adhesive of a hyperbolic glass curtain wall, comprising:

[0028] A parameter acquisition unit, used to acquire a preset multi-source environment sensing array to collect detection environment parameters corresponding to the hyperbolic glass curtain wall in real time; the multi-source environment sensing array includes at least a temperature sensor, a humidity sensor and a light sensor;

[0029] A signal detection unit, used to output a first adjustment signal of the ultrasonic detection module and a second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters; the first adjustment signal is used to adjust the frequency and power of the ultrasonic detection module, and the second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module;

[0030] a device adjustment unit, configured to adjust the coupling agent injection device and the waveform generator of the ultrasonic emission module according to the first adjustment signal, and to adjust the optical filter component of the infrared thermal imaging module according to the second adjustment signal;

[0031] A feature acquisition unit, used to acquire the reflected wave signal feature of the structural adhesive of the hyperbolic glass curtain wall according to the ultrasonic emission module, and to acquire the temperature field distribution feature of the structural adhesive according to the infrared thermal imaging module;

[0032] A damage detection unit is used to complete damage detection of the structural adhesive according to the characteristics of the reflected wave signal and the temperature field distribution characteristics.

[0033] In a third aspect, the present application provides a computer device comprising a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement a method provided in any embodiment of the present application when executing the computer program.

[0034] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer-readable instructions are executed by the processor, one or more processors execute a method as provided in any embodiment of the present application.

[0035] The embodiment of the present application provides a dynamic environment adjustment method for damage detection of hyperbolic glass curtain wall structural adhesive, which improves the accuracy and reliability of damage detection of hyperbolic glass curtain wall structural adhesive by introducing a dynamic environment adjustment mechanism. The method mainly includes the following steps:

[0036] Multi-source environmental perception: First, a preset multi-source environmental perception array is used to collect environmental parameters around the hyperbolic glass curtain wall in real time. This array includes at least temperature sensors, humidity sensors, and light sensors to fully understand the current environmental conditions.

[0037] Signal generation: Based on the data collected above, the system will automatically generate two sets of adjustment signals - the first adjustment signal is used to control the working state of the ultrasonic detection module, and the second adjustment signal is optimized for the infrared thermal imaging module. Specifically, the first adjustment signal will automatically adjust the frequency and power settings of the ultrasonic transmitter according to environmental changes; while the second adjustment signal is responsible for changing the sensitivity and optical filter configuration of the infrared camera to ensure clear and accurate image information even under adverse conditions.

[0038] Equipment Adjustment: Next, the corresponding hardware components are modified according to the two adjustment signals generated. For example, for the ultrasonic part, the couplant spray device and the waveform generator need to be adjusted; and for the infrared thermal imaging part, the internal optical filter elements need to be calibrated.

[0039] Data collection and analysis: The last step is to use the tuned ultrasonic transmitter to send sound waves to the target area and receive the reflected information; at the same time, the infrared thermal imager is used to record the heat distribution at the same location. Through the comprehensive analysis of these two sets of data, the location of possible defects and their severity can be more accurately identified.

[0040] The specific implementation methods corresponding to the method include:

[0041] Hardware preparation: Build a multi-sensor integrated platform, including but not limited to thermometers, hygrometers, light intensity meters, etc., which together constitute a multi-source environmental perception unit. In addition, an advanced ultrasonic flaw detector and an infrared camera with high-resolution capabilities are also required as core detection tools.

[0042] Software development: Write a dedicated program to process the data streams from various sensors and calculate the optimal operating parameters based on them. This part of the code should be able to support a real-time feedback mechanism so that any slight changes in external conditions can be quickly reflected in the device settings.

[0043] On-site deployment: All instruments are installed near the object to be inspected according to the predetermined layout to ensure that the entire inspection range is covered. Then the system is started to perform the task, and the changing trends of various indicators are closely monitored during the process. Manual intervention is performed when necessary to ensure the smooth progress of the process.

[0044] Result interpretation: After completing a round of scanning, extract the original data from the storage medium and import it into professional software for in-depth analysis. Focus on those data points that show abnormal patterns, and combine theoretical knowledge to determine whether there are indeed security risks.

[0045] The provided method has at least the following beneficial effects:

[0046] Enhanced adaptability: By dynamically adjusting strategies, the solution can maintain stable operation under various complex natural conditions, greatly expanding its applicable scenarios.

[0047] Improved accuracy: With refined control methods, the quality of both ultrasound echo and thermal images has been significantly improved, helping to discover more potential problems.

[0048] Reduce missed detection rate: Compared with traditional methods, this method can capture subtle defects more comprehensively and reduce the risk of major accidents caused by negligence.

[0049] Cost savings: Although the initial investment is relatively high, in the long run, the overall cost is reduced due to the reduction of unnecessary repeated tests and the improvement of work efficiency.

[0050] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0052] Figure 1 It is a schematic flow chart of the steps of a dynamic environment adjustment method for damage detection of structural adhesive of a hyperbolic glass curtain wall provided by an embodiment of the present application;

[0053] Figure 2 It is a schematic diagram of the principle of a dynamic environment adjustment method for damage detection of structural adhesive of a hyperbolic glass curtain wall provided in an embodiment of the present application;

[0054] Figure 3 It is a schematic block diagram of the structure of a computer device provided in one embodiment of the present application.

[0055] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0057] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0058] It should be understood that, in order to facilitate the clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0059] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0060] It should also be understood that the term “and / or” used in the specification and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0061] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0062] As a building facade with a high curvature, the hyperbolic curtain wall plays an important role in aesthetic design and structural function. As the exterior wall enclosure of the building, the hyperbolic curtain wall will inevitably be affected by the changing conditions of the links during the detection, so the results become unstable for the detection. Nowadays, most dynamic link adjustments are based on the detection system and signal processing, such as the dynamic environment adjustment of ultrasonic detection. According to the real-time monitoring of environmental temperature, humidity and other parameters, the transmission power and frequency of the ultrasonic transmitter are dynamically adjusted, and the signal-to-noise ratio of the signal is improved by filtering, noise reduction and other means, so as to more accurately identify the damage signal in the structural adhesive. The dynamic link adjustment of infrared thermal imaging is mainly based on image processing of infrared thermal images, such as enhancing contrast, sharpening edges, etc., to improve the readability and accuracy of the image, and further identify and analyze the damage in the structural adhesive through technical means such as image segmentation and feature extraction. These are based on sensors and parameters as the main means.

[0063] The prior art has at least the following problems:

[0064] 1. Insufficient environmental adaptability: Despite the introduction of a dynamic environmental adjustment mechanism, existing technologies may still not be able to fully adapt to detection needs under extreme environmental conditions. For example, in extremely high or low temperature environments, the propagation characteristics of ultrasound and the temperature measurement accuracy of infrared thermal imaging may be affected.

[0065] 2. Limited detection accuracy: Due to the complex shape of the hyperbolic glass curtain wall and the slight damage of the structural adhesive, it may be difficult for existing technologies to achieve very high detection accuracy. This may cause some damage to be missed or misjudged.

[0066] Therefore, a method is urgently needed to solve at least one of the above problems. To solve the above problems, please refer to Figure 1 ,like Figure 1 As shown, the provided dynamic environment adjustment method for detecting damage to the structural adhesive of a hyperbolic glass curtain wall includes steps S101 to S105. The dynamic environment adjustment method for detecting damage to the structural adhesive of a hyperbolic glass curtain wall is executed by a computer device, which may be a single server or a server cluster, or may be a handheld terminal, a laptop computer, a wearable device, or a robot.

[0067] like Figure 1 As shown, the details of steps S101-S105 are as follows:

[0068] Step S101. Obtain a preset multi-source environment sensing array to collect detection environment parameters corresponding to the hyperbolic glass curtain wall in real time; the multi-source environment sensing array includes at least a temperature sensor, a humidity sensor and a light sensor.

[0069] Specifically, the multi-source environmental sensing array consists of a variety of sensors, including but not limited to temperature sensors, humidity sensors, and light sensors. These sensors can be devices that work based on resistance, capacitance, semiconductor, or optical principles. The sensors continuously monitor changes in the surrounding environment and transmit data to the central processing unit. In order to ensure the real-time nature of the data, high-speed data buses or wireless communication protocols (such as Wi-Fi, Bluetooth, etc.) are usually used for data transmission.

[0070] For example, multiple sensor nodes can be arranged at different locations of the hyperbolic curtain wall to ensure that the entire detection area can be fully covered. For example, temperature and humidity sensors are installed at the top, bottom and both sides of the curtain wall; light sensors are added in locations where the sun is directly exposed. Each sensor preliminarily processes the data it collects through a built-in microprocessor and then sends it to the main control computer via a wired or wireless network. The stability and low latency of the network connection need to be guaranteed here to quickly respond to environmental changes. The received raw data may contain noise or outliers, so it needs to be cleaned and standardized to improve the accuracy of subsequent analysis.

[0071] This improves the ability to monitor the status of hyperbolic curtain walls under complex environmental conditions, providing accurate basic information for subsequent steps. By comprehensively considering multiple factors (such as temperature, humidity, and light intensity), the system can adjust the detection parameters more accurately, thereby improving overall performance.

[0072] Step S102. Output a first adjustment signal of the ultrasonic detection module and a second adjustment signal of the infrared thermal imaging module corresponding to structural adhesive damage detection according to the detection environment parameters; the first adjustment signal is used to adjust the frequency and power of the ultrasonic detection module, and the second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module.

[0073] Specifically, the first adjustment signal is an adjustment instruction for the ultrasonic detection module, mainly including frequency and power. Under different environmental conditions, the propagation characteristics of ultrasound will change, and proper adjustment of the transmission parameters will help obtain a clearer echo signal. The second adjustment signal is used to control the sensitivity setting of the infrared thermal imaging system. This step aims to optimize the quality of thermal images so that they can maintain high resolution and contrast under various lighting conditions.

[0074] For example, a set of intelligent decision-making algorithms can be developed to automatically calculate the optimal ultrasonic frequency / power combination and the working mode of the infrared camera based on the input environmental parameters. The algorithm should have a certain learning ability, that is, it can continuously optimize its own prediction model based on historical data. Based on the results of the above algorithm, the corresponding control signal is generated and transmitted to the ultrasonic generator and infrared camera controller through a dedicated interface. It should be noted that the signal format must meet the standard requirements of the relevant hardware equipment.

[0075] This significantly enhances the flexibility and adaptability of the detection system, allowing it to maintain good working conditions even in extreme weather conditions (such as Figure 2 By fine-tuning the key parameters, the defect recognition rate is effectively improved and the possibility of false alarms and missed detections is reduced.

[0076] Step S103: According to the first adjustment signal, the coupling agent injection device and the waveform generator of the ultrasonic emission module are adjusted, and according to the second adjustment signal, the optical filtering component of the infrared thermal imaging module is adjusted.

[0077] Specifically, by adjusting the type and amount of coupling agent, the ultrasonic wave can be efficiently transmitted between media. The correct selection of coupling agent is crucial to reduce energy loss. The shape of the ultrasonic pulse generated, such as sine wave, square wave, etc., and its repetition frequency, are changed to match the optimal penetration depth and resolution in the current environment. The purpose of replacing or adjusting the type of filter installed in front of the infrared lens is to filter out light interference within a specific wavelength range and highlight the thermal radiation characteristics of the target object (such as Figure 2 Infrared thermal imaging dynamic environment compensation, ultrasonic detection dynamic environment compensation and dynamic environment compensation algorithm design shown).

[0078] For example, a servo motor is used to drive the nozzle to move and control the injection volume; a digital signal processor (DSP) is used to configure the working mode of the waveform generator; and a stepper motor is used to rotate and switch different filters. A closed-loop control system is added to the entire process. When the actual output deviates from the expected set value, the system will automatically make corresponding corrections until the ideal state is reached.

[0079] Through physical level operations, signal quality and image clarity are directly improved, further improving detection accuracy. Seamless connection from software to hardware is achieved, ensuring coordinated operation between various components.

[0080] Step S104: Acquire the reflected wave signal characteristics of the structural adhesive of the hyperbolic glass curtain wall according to the ultrasonic emission module, and acquire the temperature field distribution characteristics of the structural adhesive according to the infrared thermal imaging module.

[0081] Specifically, signal processing techniques (such as Fourier transform and wavelet transform) are used to separate useful information from complex echo sequences, such as defect size and location. By performing segmentation and edge detection on the thermal map, the location and size of the abnormally high temperature area can be determined, and then the possible cracks or other forms of damage can be inferred.

[0082] For example, a platform that integrates multiple mathematical toolboxes can be built to support user-defined scripts to achieve personalized function expansion. The processed results are presented in a graphical interface, which makes it easier for engineers to intuitively understand the problem and take corresponding measures.

[0083] This makes previously imperceptible minor defects obvious, greatly simplifying the fault diagnosis process. It promotes the application of interdisciplinary knowledge integration (such as Figure 2 Deep learning, fusion data) as shown in the figure has promoted technological innovation and development in the field of building maintenance.

[0084] Step S105: Complete damage detection of the structural adhesive according to the reflected wave signal characteristics and the temperature field distribution characteristics.

[0085] Specifically, a comprehensive use of machine learning methods (such as support vector machine SVM, random forest RF, etc.) is used to train the classification model, and the damage and severity of the structural adhesive are determined based on the aforementioned extracted indicators. The final conclusion is integrated into the report document, and a recommended repair plan is given for decision-making reference.

[0086] For example, collect a large amount of experimental data under known conditions as a training set, covering normal conditions and cases with different degrees of damage. Repeatedly iterate and optimize until satisfactory generalization ability and robustness are achieved. Write a program to automatically generate an electronic document containing detailed analysis results and recommended action guidelines.

[0087] This has realized a one-stop service from data collection to diagnosis conclusion output, greatly improving work efficiency, reducing the risk of errors caused by human intervention, and ensuring the objectivity and fairness of the evaluation results.

[0088] In some embodiments, the first adjustment signal of the ultrasonic detection module and the second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters are output, including: constructing a dynamic environment compensation algorithm model; inputting the detection environment parameters into the dynamic environment algorithm compensation model, and outputting the first adjustment signal and the second adjustment signal.

[0089] The light interference submodule eliminates the interference of solar radiation on infrared temperature measurement through an adaptive filtering algorithm. The adaptive filtering algorithm can be based on methods such as the least mean square error (LMS) or the recursive least squares (RLS) method, and adjusts the filter parameters according to the real-time light intensity to reduce the impact of solar radiation on infrared images.

[0090] The temperature, humidity and light parameters obtained from the multi-source environmental sensing array are input into the dynamic environmental compensation algorithm model constructed above. The model calculates the corresponding first adjustment signal (for the ultrasonic detection module) and the second adjustment signal (for the infrared thermal imaging module) according to the input environmental parameters.

[0091] The first adjustment signal is used to adjust the frequency and power of the ultrasonic emission module to adapt to the current environmental conditions. The second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module to improve the image quality.

[0092] Through the dynamic environmental compensation algorithm model, the system can better adapt to the detection needs under extreme environmental conditions, ensuring accurate detection results under different temperature, humidity and light conditions. Through the precise correction of ultrasonic propagation speed and reflection characteristics, as well as the optimization of infrared images, the accuracy of the detection system is significantly improved, and the possibility of misjudgment and missed detection is reduced. The entire process is automated and intelligent, reducing manual intervention and improving work efficiency and consistency.

[0093] Exemplarily, the construction of the dynamic environment compensation algorithm model includes: establishing a temperature correction coefficient for the ultrasonic propagation velocity based on the Arrhenius equation, and constructing a temperature compensation submodule according to the temperature correction coefficient; using a Fresnel reflection model to calculate the air-medium interface reflection damage compensation value to construct a humidity influence submodule; eliminating the interference of solar radiation on infrared temperature measurement through an adaptive filtering algorithm to construct a light interference submodule; and constructing the dynamic environment compensation algorithm model according to the temperature compensation submodule, the humidity influence submodule and the light interference submodule.

[0094] The Arrhenius equation is often used to describe the relationship between the rate of chemical reactions and temperature. In this application, it is used to express the relationship between the propagation speed of ultrasound and temperature. The propagation speed of ultrasound in a material is significantly affected by the temperature of the medium. The moisture content in the air affects the transmission characteristics of sound waves, especially when sound waves are transmitted from the air to the surface of another medium, reflection occurs. The Fresnel reflection model can be used to quantify this effect.

[0095] For the illumination interference submodule, strong sunlight may interfere with infrared thermal imaging and reduce image quality. Adaptive filtering technology is an effective way to remove such noise. A series of infrared images with different degrees of solar radiation are collected as training samples. A filter that can identify and remove the influence of background light intensity fluctuations is trained using a machine learning algorithm as the illumination interference submodule. The trained filter is applied to process the infrared images acquired in real time to improve image clarity and reduce the probability of misjudgment.

[0096] It should be noted that, in some embodiments, the expression of the temperature correction coefficient includes:

[0097] ;

[0098] Said is the temperature correction coefficient, For calibration temperature The reference wave speed under is the activation energy corresponding to the structural adhesive, is the gas constant, is the ambient temperature corresponding to the hyperbolic glass curtain wall, is the ambient temperature variation amplitude, indicating the maximum variation amplitude of the ambient temperature relative to the calibration temperature, is the thermal sensitivity coefficient of the structural adhesive.

[0099] By introducing the temperature correction coefficient, the effect of temperature on ultrasonic propagation velocity can be more accurately reflected, thereby improving the accuracy of the test results. This formula takes into account the nonlinear characteristics of temperature changes, allowing the system to maintain good performance in the face of complex temperature changes.

[0100] It should be noted that, in some embodiments, the expression of the air-medium interface reflection damage compensation value includes:

[0101] ;

[0102] is the air-medium interface reflection damage compensation value, Humidity-air acoustic impedance, which indicates the resistance of air to ultrasonic propagation under different humidity conditions. Changes in humidity will cause changes in air acoustic impedance. represents the couplant acoustic impedance corresponding to the couplant spraying device, is the current humidity corresponding to the hyperbolic glass curtain wall, is the critical humidity threshold, The impedance matching factor is used to adjust the matching relationship between the air acoustic impedance and the coupling agent acoustic impedance caused by humidity changes to achieve a better compensation effect. is the adjustment coefficient used to control the hyperbolic tangent function The curve shape and rate of change of Can accurately describe the effect of humidity on the reflection damage compensation value, It is a temperature-dependent exponential parameter used to reflect the combined effect of temperature and humidity on the air-medium interface reflection damage compensation value. By introducing the air-medium interface reflection damage compensation value, it can effectively compensate for the change in ultrasonic reflection characteristics caused by humidity changes and improve the reliability of the detection results. This formula takes into account the effects of temperature and humidity on reflection characteristics, allowing the system to maintain high detection accuracy under a variety of environmental conditions.

[0103] In some embodiments, the damage detection of the structural adhesive is completed based on the reflected wave signal characteristics and the temperature field distribution characteristics, including: fusing the reflected wave signal characteristics and the temperature field distribution characteristics to obtain multimodal fusion data; and completing the damage detection of the structural adhesive based on the multimodal fusion data.

[0104] Based on wavelet packet decomposition, the reflected wave signal features are extracted to obtain wavelet packet features. The temperature field distribution features are processed by morphological edge enhancement to highlight the abnormal areas in the temperature field. Based on the feature layer fusion architecture constructed by the attention mechanism, the wavelet packet features and the enhanced temperature field distribution features are fused to obtain multimodal fusion data. The fused multimodal data is input into the classification model, and damage detection is performed using machine learning algorithms (such as support vector machines, random forests, etc.).

[0105] Through multimodal data fusion, the information of ultrasonic and infrared thermal imaging is integrated to improve the accuracy and reliability of damage detection. The complementarity of multimodal data enhances the robustness of the system. Even if one modal data is disturbed, other modal data can provide effective information support. Multimodal fusion provides a more comprehensive evaluation method, which helps to find subtle damage that is difficult to identify with a single modality.

[0106] Exemplarily, the fusing of the reflected wave signal features and the temperature field distribution features to obtain multimodal fusion data includes: extracting features of the reflected wave signal features based on wavelet packet decomposition to obtain wavelet packet features; performing morphological edge enhancement processing on the temperature field distribution features; and fusing the wavelet packet features and the enhanced temperature field distribution features based on a feature layer fusion architecture constructed based on an attention mechanism to obtain the multimodal fusion data.

[0107] Wavelet packet decomposition is a multi-resolution analysis method that can decompose a signal into multiple frequency sub-bands. The specific steps are as follows: Select wavelet basis function: Select a suitable wavelet basis function (such as db4, sym8, etc.). Decomposition level: Determine the number of decomposition levels, usually 3-5 levels. Decomposition process: Perform wavelet packet decomposition on the reflected wave signal to obtain the coefficients of each frequency sub-band. Feature extraction: Extract features from the decomposed sub-band coefficients, such as energy, entropy, variance, etc.

[0108] The temperature field distribution characteristics are processed by morphological edge enhancement: Morphological processing: Morphological operations include expansion, erosion, opening and closing operations. The specific steps are as follows: Binarization: Binarize the infrared thermal imaging image to distinguish the high temperature area and the low temperature area. Expansion operation: Use the structural element to expand the binary image to expand the high temperature area. Erosion operation: Use the structural element to erode the expanded image to remove noise. Edge detection: Use edge detection algorithms (such as Canny, Sobel, etc.) to extract the enhanced edge information.

[0109] Feature layer fusion architecture based on attention mechanism: Attention mechanism: The attention mechanism can adaptively assign the importance of different features. The specific steps are as follows: Feature mapping: Map the wavelet packet features and the enhanced temperature field distribution features to high-dimensional space respectively. Attention weight calculation: Calculate the attention weight of each feature, and the weight reflects the importance of the feature. Weighted fusion: Perform weighted fusion of two features according to the attention weight to generate multimodal fusion data. Feature fusion: Input the fused features into the subsequent classification model for damage detection.

[0110] Through wavelet packet decomposition and morphological edge enhancement processing, richer feature information is extracted and the detection accuracy is improved. Multimodal fusion data combines information from ultrasonic and infrared thermal imaging, enhancing the robustness of the system and reducing the possibility that single-modal data is affected by the environment. Multimodal fusion provides a more comprehensive evaluation method and helps to discover subtle damage that is difficult to identify with a single modality. The entire process is automated and intelligent, reducing manual intervention and improving work efficiency and consistency.

[0111] In some embodiments, after completing the damage detection of the structural adhesive according to the reflected wave signal characteristics and the temperature field distribution characteristics, it also includes: obtaining the damage position and damage type corresponding to the damage detection; calculating the damage extension trend prediction value corresponding to the damage position and damage type according to a preset damage edge gradient analysis algorithm; and generating a damage warning according to the damage extension trend prediction value.

[0112] Based on the multimodal fusion data, the damage location and damage type of the structural adhesive are determined.

[0113] Preset damage edge gradient analysis algorithm: Calculate the damage extension trend prediction value based on the gradient change of the damage edge. The specific steps include: extracting the edge of the damage area. Calculating the gradient direction and size of the edge. Analyzing the gradient change trend and predicting the speed and direction of damage extension.

[0114] Generate damage warning: Generate damage warning information based on the predicted value of the damage expansion trend, and inform relevant personnel through the system interface or notification method.

[0115] By predicting the damage expansion trend, timely measures can be taken before the damage worsens to avoid greater losses. Based on the damage expansion trend prediction, a more reasonable maintenance plan can be formulated to extend the service life of the building. Timely damage warning helps to ensure the safety of the building and reduce potential risks.

[0116] In some embodiments, the coupling agent injection device includes: a piezoelectric microfluidic injector, the piezoelectric microfluidic injector has a temperature feedback function; a coupling agent storage bin, the coupling agent storage bin automatically switches to any one of a water-based coupling agent storage bin and an oil-based coupling agent storage bin according to different ambient humidity.

[0117] Piezoelectric microfluidic injector: With temperature feedback function: The injector has a built-in temperature sensor that can monitor the ambient temperature in real time and feed back to the control system. Automatically adjust the injection volume: According to the change of ambient temperature, the injection volume of the coupling agent is automatically adjusted to ensure the best coupling effect.

[0118] Coupling agent storage bin: Water-based coupling agent storage bin: Equipped with PTFE anti-corrosion lining, suitable for environments with high humidity. Oil-based coupling agent storage bin: Equipped with a nano-hydrophobic coating transition isolation chamber and a shape memory alloy valve, suitable for environments with low humidity. Automatic switching: When the ambient humidity is less than 60%RH, the solenoid valve corresponding to the water-based coupling agent is opened and the piezoelectric stop valve of the oil-based coupling agent is closed; vice versa.

[0119] By automatically switching different types of coupling agents, the best coupling effect can be obtained under different humidity conditions, improving the detection accuracy. The use of PTFE anti-corrosion lining and nano-hydrophobic coating effectively protects the storage bin from corrosion and extends the service life of the equipment. The temperature feedback function and automatic switching mechanism realize intelligent management, reduce manual intervention, and improve the reliability and efficiency of the system.

[0120] Exemplarily, the coupling agent storage bin includes: a water-based coupling agent chamber, in which a PTFE anti-corrosion lining is provided; an oil-based coupling agent chamber, in which a nano-hydrophobic coating is provided; and a transition isolation chamber, in which a shape memory alloy valve is provided; wherein, when the ambient humidity is less than 60% RH, the solenoid valve corresponding to the water-based coupling agent is opened, and the piezoelectric stop valve of the oil-based coupling agent is closed.

[0121] PTFE anti-corrosion lining: PTFE (polytetrafluoroethylene) anti-corrosion lining is set inside the water-based coupling agent cavity to prevent the water-based coupling agent from corroding the cavity material. Solenoid valve control: The outflow of water-based coupling agent is controlled by the solenoid valve to ensure that the coupling agent can be provided in time when needed.

[0122] Oil-based coupling agent chamber: Nano-hydrophobic coating transition isolation chamber: Nano-hydrophobic coating is set inside the oil-based coupling agent chamber to prevent the oil-based coupling agent from penetrating into other parts. Shape memory alloy valve: Use shape memory alloy valve to control the outflow of oil-based coupling agent. The shape memory alloy valve can automatically adjust the opening and closing state according to temperature changes.

[0123] Automatic switching mechanism: The humidity sensor monitors the ambient humidity in real time. When the ambient humidity is less than 60%RH, the solenoid valve corresponding to the water-based coupling agent is opened and the piezoelectric stop valve of the oil-based coupling agent is closed; conversely, when the ambient humidity is greater than or equal to 60%RH, the solenoid valve of the water-based coupling agent is closed and the piezoelectric stop valve of the oil-based coupling agent is opened.

[0124] By automatically switching different types of coupling agents, the best coupling effect can be obtained under different humidity conditions, improving the detection accuracy. The use of PTFE anti-corrosion lining and nano-hydrophobic coating effectively protects the storage bin from corrosion and extends the service life of the equipment. The automatic switching mechanism realizes intelligent management, reduces manual intervention, and improves the reliability and efficiency of the system. The system can automatically adjust the type of coupling agent according to changes in ambient humidity to adapt to different working conditions, improving the adaptability and flexibility of the system. By reducing the waste and frequent replacement of coupling agents, maintenance costs are reduced and the economy of the system is improved.

[0125] The embodiment of the present application provides a dynamic environment adjustment method for damage detection of hyperbolic glass curtain wall structural adhesive, which improves the accuracy and reliability of damage detection of hyperbolic glass curtain wall structural adhesive by introducing a dynamic environment adjustment mechanism. The method mainly includes the following steps:

[0126] Multi-source environmental perception: First, a preset multi-source environmental perception array is used to collect environmental parameters around the hyperbolic glass curtain wall in real time. This array includes at least temperature sensors, humidity sensors, and light sensors to fully understand the current environmental conditions.

[0127] Signal generation: Based on the data collected above, the system will automatically generate two sets of adjustment signals - the first adjustment signal is used to control the working state of the ultrasonic detection module, and the second adjustment signal is optimized for the infrared thermal imaging module. Specifically, the first adjustment signal will automatically adjust the frequency and power settings of the ultrasonic transmitter according to environmental changes; while the second adjustment signal is responsible for changing the sensitivity and optical filter configuration of the infrared camera to ensure clear and accurate image information even under adverse conditions.

[0128] Equipment Adjustment: Next, the corresponding hardware components are modified according to the two adjustment signals generated. For example, for the ultrasonic part, the couplant spray device and the waveform generator need to be adjusted; and for the infrared thermal imaging part, the internal optical filter elements need to be calibrated.

[0129] Data collection and analysis: The last step is to use the tuned ultrasonic transmitter to send sound waves to the target area and receive the reflected information; at the same time, the infrared thermal imager is used to record the heat distribution at the same location. Through the comprehensive analysis of these two sets of data, the location of possible defects and their severity can be more accurately identified.

[0130] The specific implementation methods corresponding to the method include:

[0131] Hardware preparation: Build a multi-sensor integrated platform, including but not limited to thermometers, hygrometers, light intensity meters, etc., which together constitute a multi-source environmental perception unit. In addition, an advanced ultrasonic flaw detector and an infrared camera with high-resolution capabilities are also required as core detection tools.

[0132] Software development: Write a dedicated program to process the data streams from various sensors and calculate the optimal operating parameters based on them. This part of the code should be able to support a real-time feedback mechanism so that any slight changes in external conditions can be quickly reflected in the device settings.

[0133] On-site deployment: All instruments are installed near the object to be inspected according to the predetermined layout to ensure that the entire inspection range is covered. Then the system is started to perform the task, and the changing trends of various indicators are closely monitored during the process. Manual intervention is performed when necessary to ensure the smooth progress of the process.

[0134] Result interpretation: After completing a round of scanning, extract the original data from the storage medium and import it into professional software for in-depth analysis. Focus on those data points that show abnormal patterns, and combine theoretical knowledge to determine whether there are indeed security risks.

[0135] The provided method has at least the following beneficial effects:

[0136] Enhanced adaptability: By dynamically adjusting strategies, the solution can maintain stable operation under various complex natural conditions, greatly expanding its applicable scenarios.

[0137] Improved accuracy: With refined control methods, the quality of both ultrasound echo and thermal images has been significantly improved, helping to discover more potential problems.

[0138] Reduce missed detection rate: Compared with traditional methods, this method can capture subtle defects more comprehensively and reduce the risk of major accidents caused by negligence.

[0139] Cost savings: Although the initial investment is relatively high, in the long run, the overall cost is reduced due to the reduction of unnecessary repeated tests and the improvement of work efficiency.

[0140] The embodiment of the present application provides a dynamic environment adjustment device for detecting damage to the structural adhesive of a hyperbolic glass curtain wall. The dynamic environment adjustment device 200 for detecting damage to the structural adhesive of a hyperbolic glass curtain wall is used to execute the steps of the dynamic environment adjustment method for detecting damage to the structural adhesive of a hyperbolic glass curtain wall shown in the above embodiments. The dynamic environment adjustment device 200 for detecting damage to the structural adhesive of a hyperbolic glass curtain wall can be a single server or a server cluster, or the dynamic environment adjustment device 200 for detecting damage to the structural adhesive of a hyperbolic glass curtain wall can be a terminal, which can be a handheld terminal, a laptop computer, a wearable device, a robot, etc.

[0141] The dynamic environment adjustment device 200 for detecting damage of structural adhesive of a hyperbolic glass curtain wall comprises:

[0142] A parameter acquisition unit 201 is used to acquire a preset multi-source environment sensing array to collect detection environment parameters corresponding to the hyperbolic glass curtain wall in real time; the multi-source environment sensing array includes at least a temperature sensor, a humidity sensor and a light sensor;

[0143] A signal detection unit 202, configured to output a first adjustment signal of the ultrasonic detection module and a second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters; the first adjustment signal is used to adjust the frequency and power of the ultrasonic detection module, and the second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module;

[0144] The device adjustment unit 203 is used to complete the adjustment of the coupling agent injection device and the waveform generator of the ultrasonic emission module according to the first adjustment signal, and complete the adjustment of the optical filter component of the infrared thermal imaging module according to the second adjustment signal;

[0145] A feature acquisition unit 204 is used to acquire the reflected wave signal feature of the structural adhesive of the hyperbolic glass curtain wall according to the ultrasonic emission module, and to acquire the temperature field distribution feature of the structural adhesive according to the infrared thermal imaging module;

[0146] The damage detection unit 205 is used to complete the damage detection of the structural adhesive according to the reflection wave signal characteristics and the temperature field distribution characteristics.

[0147] In some embodiments, the first adjustment signal of the ultrasonic detection module and the second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters are output, including: constructing a dynamic environment compensation algorithm model; inputting the detection environment parameters into the dynamic environment algorithm compensation model, and outputting the first adjustment signal and the second adjustment signal.

[0148] Exemplarily, the construction of the dynamic environment compensation algorithm model includes: establishing a temperature correction coefficient for the ultrasonic propagation velocity based on the Arrhenius equation, and constructing a temperature compensation submodule according to the temperature correction coefficient; using a Fresnel reflection model to calculate the air-medium interface reflection damage compensation value to construct a humidity influence submodule; eliminating the interference of solar radiation on infrared temperature measurement through an adaptive filtering algorithm to construct a light interference submodule; and constructing the dynamic environment compensation algorithm model according to the temperature compensation submodule, the humidity influence submodule and the light interference submodule.

[0149] It should be noted that, in some embodiments, the expression of the temperature correction coefficient includes:

[0150] ;

[0151] Said is the temperature correction coefficient, For calibration temperature The reference wave speed under is the activation energy corresponding to the structural adhesive, is the gas constant, is the ambient temperature corresponding to the hyperbolic glass curtain wall, is the ambient temperature variation amplitude, indicating the maximum variation amplitude of the ambient temperature relative to the calibration temperature, is the thermal sensitivity coefficient of the structural adhesive.

[0152] It should be noted that, in some embodiments, the expression of the air-medium interface reflection damage compensation value includes:

[0153] ;

[0154] is the air-medium interface reflection damage compensation value, Humidity-air acoustic impedance, which indicates the resistance of air to ultrasonic propagation under different humidity conditions. Changes in humidity will cause changes in air acoustic impedance. represents the couplant acoustic impedance corresponding to the couplant spraying device, is the current humidity corresponding to the hyperbolic glass curtain wall, is the critical humidity threshold, The impedance matching factor is used to adjust the matching relationship between the air acoustic impedance and the coupling agent acoustic impedance caused by humidity changes to achieve a better compensation effect. is the adjustment coefficient used to control the hyperbolic tangent function The curve shape and rate of change of Can accurately describe the effect of humidity on the reflection damage compensation value, It is a temperature-dependent exponential parameter used to reflect the combined effect of temperature and humidity on the air-medium interface reflection damage compensation value.

[0155] In some embodiments, the damage detection of the structural adhesive is completed based on the reflected wave signal characteristics and the temperature field distribution characteristics, including: fusing the reflected wave signal characteristics and the temperature field distribution characteristics to obtain multimodal fusion data; and completing the damage detection of the structural adhesive based on the multimodal fusion data.

[0156] Exemplarily, the fusing of the reflected wave signal features and the temperature field distribution features to obtain multimodal fusion data includes: extracting features of the reflected wave signal features based on wavelet packet decomposition to obtain wavelet packet features; performing morphological edge enhancement processing on the temperature field distribution features; and fusing the wavelet packet features and the enhanced temperature field distribution features based on a feature layer fusion architecture constructed based on an attention mechanism to obtain the multimodal fusion data.

[0157] In some embodiments, after completing the damage detection of the structural adhesive according to the reflected wave signal characteristics and the temperature field distribution characteristics, it also includes: obtaining the damage position and damage type corresponding to the damage detection; calculating the damage extension trend prediction value corresponding to the damage position and damage type according to a preset damage edge gradient analysis algorithm; and generating a damage warning according to the damage extension trend prediction value.

[0158] In some embodiments, the coupling agent injection device includes: a piezoelectric microfluidic injector, the piezoelectric microfluidic injector has a temperature feedback function; a coupling agent storage bin, the coupling agent storage bin automatically switches to any one of a water-based coupling agent storage bin and an oil-based coupling agent storage bin according to different ambient humidity.

[0159] Exemplarily, the coupling agent storage bin includes: a water-based coupling agent chamber, in which a PTFE anti-corrosion lining is provided; an oil-based coupling agent chamber, in which a nano-hydrophobic coating is provided; and a transition isolation chamber, in which a shape memory alloy valve is provided; wherein, when the ambient humidity is less than 60% RH, the solenoid valve corresponding to the water-based coupling agent is opened, and the piezoelectric stop valve of the oil-based coupling agent is closed.

[0160] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and simplicity of description, the specific working processes of the dynamic environment adjustment device for detecting damage to the structural adhesive of the hyperbolic glass curtain wall and each module described above can refer to the corresponding processes in the embodiments of the dynamic environment adjustment method for detecting damage to the structural adhesive of the hyperbolic glass curtain wall described in the above embodiments, and will not be repeated here.

[0161] The above-mentioned dynamic environment adjustment method for damage detection of structural adhesive of hyperbolic glass curtain wall can be implemented in the form of a computer program, and the computer program can be run on the device provided above.

[0162] See also Figure 3 , Figure 3 1 is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application. The computer device includes a processor, a memory and a network interface connected via a device bus, wherein the memory may include a storage medium and an internal memory.

[0163] The storage medium can store operating devices and computer programs. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any dynamic environment adjustment method for damage detection of structural adhesive of hyperbolic glass curtain wall.

[0164] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0165] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any dynamic environment adjustment method for damage detection of the structural adhesive of the hyperbolic glass curtain wall.

[0166] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will appreciate that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present application, and does not constitute a limitation on the terminal to which the scheme of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0167] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0168] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0169] Obtain a preset multi-source environment sensing array to collect detection environment parameters corresponding to the hyperbolic glass curtain wall in real time; the multi-source environment sensing array includes at least a temperature sensor, a humidity sensor and a light sensor;

[0170] Output a first adjustment signal of the ultrasonic detection module and a second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters; the first adjustment signal is used to adjust the frequency and power of the ultrasonic detection module, and the second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module;

[0171] The coupling agent injection device and the waveform generator of the ultrasonic emission module are adjusted according to the first adjustment signal, and the optical filter component of the infrared thermal imaging module is adjusted according to the second adjustment signal;

[0172] Acquire the reflected wave signal characteristics of the structural adhesive of the hyperbolic glass curtain wall according to the ultrasonic emission module, and acquire the temperature field distribution characteristics of the structural adhesive according to the infrared thermal imaging module;

[0173] The damage detection of the structural adhesive is completed according to the reflected wave signal characteristics and the temperature field distribution characteristics.

[0174] In some embodiments, the first adjustment signal of the ultrasonic detection module and the second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters are output, including: constructing a dynamic environment compensation algorithm model; inputting the detection environment parameters into the dynamic environment algorithm compensation model, and outputting the first adjustment signal and the second adjustment signal.

[0175] Exemplarily, the construction of the dynamic environment compensation algorithm model includes: establishing a temperature correction coefficient for the ultrasonic propagation velocity based on the Arrhenius equation, and constructing a temperature compensation submodule according to the temperature correction coefficient; using a Fresnel reflection model to calculate the air-medium interface reflection damage compensation value to construct a humidity influence submodule; eliminating the interference of solar radiation on infrared temperature measurement through an adaptive filtering algorithm to construct a light interference submodule; and constructing the dynamic environment compensation algorithm model according to the temperature compensation submodule, the humidity influence submodule and the light interference submodule.

[0176] It should be noted that, in some embodiments, the expression of the temperature correction coefficient includes:

[0177] ;

[0178] Said is the temperature correction coefficient, For calibration temperature The reference wave speed under is the activation energy corresponding to the structural adhesive, is the gas constant, is the ambient temperature corresponding to the hyperbolic glass curtain wall, is the ambient temperature variation amplitude, indicating the maximum variation amplitude of the ambient temperature relative to the calibration temperature, is the thermal sensitivity coefficient of the structural adhesive.

[0179] It should be noted that, in some embodiments, the expression of the air-medium interface reflection damage compensation value includes:

[0180] ;

[0181] is the air-medium interface reflection damage compensation value, Humidity-air acoustic impedance, which indicates the resistance of air to ultrasonic propagation under different humidity conditions. Changes in humidity will cause changes in air acoustic impedance. represents the couplant acoustic impedance corresponding to the couplant spraying device, is the current humidity corresponding to the hyperbolic glass curtain wall, is the critical humidity threshold, The impedance matching factor is used to adjust the matching relationship between the air acoustic impedance and the coupling agent acoustic impedance caused by humidity changes to achieve a better compensation effect. is the adjustment coefficient used to control the hyperbolic tangent function The curve shape and rate of change of Can accurately describe the effect of humidity on the reflection damage compensation value, It is a temperature-dependent exponential parameter used to reflect the combined effect of temperature and humidity on the air-medium interface reflection damage compensation value.

[0182] In some embodiments, the damage detection of the structural adhesive is completed based on the reflected wave signal characteristics and the temperature field distribution characteristics, including: fusing the reflected wave signal characteristics and the temperature field distribution characteristics to obtain multimodal fusion data; and completing the damage detection of the structural adhesive based on the multimodal fusion data.

[0183] Exemplarily, the fusing of the reflected wave signal features and the temperature field distribution features to obtain multimodal fusion data includes: extracting features of the reflected wave signal features based on wavelet packet decomposition to obtain wavelet packet features; performing morphological edge enhancement processing on the temperature field distribution features; and fusing the wavelet packet features and the enhanced temperature field distribution features based on a feature layer fusion architecture constructed based on an attention mechanism to obtain the multimodal fusion data.

[0184] In some embodiments, after completing the damage detection of the structural adhesive according to the reflected wave signal characteristics and the temperature field distribution characteristics, it also includes: obtaining the damage position and damage type corresponding to the damage detection; calculating the damage extension trend prediction value corresponding to the damage position and damage type according to a preset damage edge gradient analysis algorithm; and generating a damage warning according to the damage extension trend prediction value.

[0185] In some embodiments, the coupling agent injection device includes: a piezoelectric microfluidic injector, the piezoelectric microfluidic injector has a temperature feedback function; a coupling agent storage bin, the coupling agent storage bin automatically switches to any one of a water-based coupling agent storage bin and an oil-based coupling agent storage bin according to different ambient humidity.

[0186] Exemplarily, the coupling agent storage bin includes: a water-based coupling agent chamber, in which a PTFE anti-corrosion lining is provided; an oil-based coupling agent chamber, in which a nano-hydrophobic coating is provided; and a transition isolation chamber, in which a shape memory alloy valve is provided; wherein, when the ambient humidity is less than 60% RH, the solenoid valve corresponding to the water-based coupling agent is opened, and the piezoelectric stop valve of the oil-based coupling agent is closed.

[0187] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working processes of the computer equipment and each module described above can refer to the corresponding processes in the embodiments of the dynamic environment adjustment method for damage detection of hyperbolic glass curtain wall structural adhesive described in the above embodiments, and will not be repeated here.

[0188] The present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the steps of a dynamic environment adjustment method for damage detection of hyperbolic glass curtain wall structural adhesive as provided in any embodiment of the present application.

[0189] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the computer device.

[0190] Exemplarily, the medium is used to implement the following steps:

[0191] Obtain a preset multi-source environment sensing array to collect detection environment parameters corresponding to the hyperbolic glass curtain wall in real time; the multi-source environment sensing array includes at least a temperature sensor, a humidity sensor and a light sensor;

[0192] Output a first adjustment signal of the ultrasonic detection module and a second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters; the first adjustment signal is used to adjust the frequency and power of the ultrasonic detection module, and the second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module;

[0193] The coupling agent injection device and the waveform generator of the ultrasonic emission module are adjusted according to the first adjustment signal, and the optical filter component of the infrared thermal imaging module is adjusted according to the second adjustment signal;

[0194] Acquire the reflected wave signal characteristics of the structural adhesive of the hyperbolic glass curtain wall according to the ultrasonic emission module, and acquire the temperature field distribution characteristics of the structural adhesive according to the infrared thermal imaging module;

[0195] The damage detection of the structural adhesive is completed according to the reflected wave signal characteristics and the temperature field distribution characteristics.

[0196] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working process of the storage medium and each module described above can refer to the corresponding process in the embodiment of the dynamic environment adjustment method for damage detection of hyperbolic glass curtain wall structural adhesive described in the above embodiments, and will not be repeated here.

[0197] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A dynamic environment adjustment method for damage detection of structural adhesive of hyperbolic glass curtain wall, characterized in that: include: Obtain a preset multi-source environment sensing array to collect detection environment parameters corresponding to the hyperbolic glass curtain wall in real time; The multi-source environment sensing array includes at least a temperature sensor, a humidity sensor and a light sensor; Output a first adjustment signal of the ultrasonic detection module and a second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters; the first adjustment signal is used to adjust the frequency and power of the ultrasonic detection module, and the second adjustment signal is used to adjust the sensitivity of the infrared thermal imaging module; The coupling agent injection device and the waveform generator of the ultrasonic emission module are adjusted according to the first adjustment signal, and the optical filter component of the infrared thermal imaging module is adjusted according to the second adjustment signal; Acquire the reflected wave signal characteristics of the structural adhesive of the hyperbolic glass curtain wall according to the ultrasonic emission module, and acquire the temperature field distribution characteristics of the structural adhesive according to the infrared thermal imaging module; The damage detection of the structural adhesive is completed according to the reflected wave signal characteristics and the temperature field distribution characteristics.

2. The method according to claim 1, characterized in that The outputting of the first adjustment signal of the ultrasonic detection module and the second adjustment signal of the infrared thermal imaging module corresponding to the structural adhesive damage detection according to the detection environment parameters includes: Construct dynamic environment compensation algorithm model; The detected environmental parameters are input into the dynamic environment algorithm compensation model, and the first adjustment signal and the second adjustment signal are output.

3. The method according to claim 2, characterized in that The construction of the dynamic environment compensation algorithm model includes: Establishing a temperature correction coefficient of ultrasonic propagation velocity based on the Arrhenius equation, and constructing a temperature compensation submodule according to the temperature correction coefficient; The Fresnel reflection model is used to calculate the compensation value of the air-medium interface reflection damage to construct the humidity impact submodule; The interference of solar radiation on infrared temperature measurement is eliminated through adaptive filtering algorithm to build a light interference submodule; The dynamic environment compensation algorithm model is constructed according to the temperature compensation submodule, the humidity influence submodule and the light interference submodule.

4. The method according to claim 3, characterized in that The expression of the temperature correction coefficient includes: ; Said is the temperature correction coefficient, For calibration temperature The reference wave speed under is the activation energy corresponding to the structural adhesive, is the gas constant, is the ambient temperature corresponding to the hyperbolic glass curtain wall, is the ambient temperature variation amplitude, indicating the maximum variation amplitude of the ambient temperature relative to the calibration temperature, is the thermal sensitivity coefficient of the structural adhesive.

5. The method according to claim 3, characterized in that: The expression of the air-medium interface reflection damage compensation value includes: ; is the air-medium interface reflection damage compensation value, Humidity-air acoustic impedance, which indicates the resistance of air to ultrasonic propagation under different humidity conditions. Changes in humidity will cause changes in air acoustic impedance. represents the couplant acoustic impedance corresponding to the couplant spraying device, is the current humidity corresponding to the hyperbolic glass curtain wall, is the critical humidity threshold, The impedance matching factor is used to adjust the matching relationship between the air acoustic impedance and the coupling agent acoustic impedance caused by humidity changes to achieve a better compensation effect. is the adjustment coefficient used to control the hyperbolic tangent function The curve shape and rate of change of Can accurately describe the effect of humidity on the reflection damage compensation value, It is a temperature-dependent exponential parameter used to reflect the combined effect of temperature and humidity on the air-medium interface reflection damage compensation value.

6. The method according to claim 1, characterized in that The damage detection of the structural adhesive is completed according to the reflected wave signal characteristics and the temperature field distribution characteristics, including: fusing the reflected wave signal characteristics and the temperature field distribution characteristics to obtain multimodal fusion data; The damage detection of the structural adhesive is completed according to the multimodal fusion data.

7. The method according to claim 6, characterized in that The step of fusing the reflected wave signal characteristics and the temperature field distribution characteristics to obtain multimodal fusion data includes: Extracting the reflected wave signal features based on wavelet packet decomposition to obtain wavelet packet features; The temperature field distribution characteristics are processed by morphological edge enhancement; Based on the feature layer fusion architecture constructed based on the attention mechanism, the wavelet packet features and the enhanced temperature field distribution features are fused to obtain the multimodal fusion data.

8. The method according to claim 1, characterized in that After completing the damage detection of the structural adhesive according to the reflected wave signal characteristics and the temperature field distribution characteristics, the method further includes: Obtaining a damage location and a damage type corresponding to the damage detection; Calculate the damage extension trend prediction value corresponding to the damage location and damage type according to a preset damage edge gradient analysis algorithm; A damage warning is generated according to the damage extension trend prediction value.

9. The method according to claim 1, characterized in that: The coupling agent spraying device comprises: A piezoelectric microfluidic injector, wherein the piezoelectric microfluidic injector has a temperature feedback function; A coupling agent storage bin is configured to automatically switch to either a water-based coupling agent storage bin or an oil-based coupling agent storage bin according to different ambient humidity.

10. The method according to claim 9, characterized in that The coupling agent storage bin comprises: A water-based coupling agent chamber, wherein the water-based coupling agent chamber is provided with a PTFE anti-corrosion lining; An oil-based coupling agent cavity, wherein a nano-hydrophobic coating is provided in the oil-based coupling cavity; The transition isolation chamber is provided with a shape memory alloy valve; Wherein, when the ambient humidity is less than 60%RH, the solenoid valve corresponding to the water-based coupling agent is opened, and the piezoelectric stop valve of the oil-based coupling agent is closed.

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