Pressure intensity adjusting method, system and equipment for hollow glass and storage medium

Abstract

The invention relates to the technical field of hollow glass pressure adjustment, in particular to a pressure adjustment method, system and equipment for hollow glass and a storage medium. Dividing a preset glass inner cavity area according to a preset deep learning model, the glass air pressure distribution diagram and a preset isobaric line set to obtain a plurality of divided areas; according to a preset glass base point coordinate, coding the plurality of divided areas to obtain coded area data; according to a preset measurement database, mapping analysis is carried out on the coding area data to obtain a glass inner cavity air pressure parameter; analyzing the air pressure parameter of the glass inner cavity according to a preset adjustment parameter and an external air pressure measurement parameter to obtain an optimized adjustment parameter; generating a pressure intensity adjustment instruction according to the optimized adjustment parameter; and external air pressure measurement parameters are linked to generate a pressure intensity adjustment instruction, the air pressure inside and outside the hollow glass is balanced, the structure damage risk is reduced, and the adaptability, reliability and safety in a complex environment are improved.

Description

Technical Field

[0001] This invention relates to the field of pressure regulation technology for insulated glass, and more specifically to pressure regulation methods, systems, devices, and storage media for insulated glass. Background Technology

[0002] Current insulated glass technologies primarily focus on initial pressure settings during production, neglecting dynamic adjustment during use, thus limiting product lifespan. Since glass production is mostly concentrated in low-altitude areas, transporting finished products to high-altitude environments can lead to excessively high cavity pressure, potentially causing structural problems. Over long-term use, even minor leaks in the sealing layer can cause a slow pressure decrease, and once the molecular sieve becomes saturated, it cannot maintain cavity dryness, further exacerbating pressure instability. Furthermore, existing adjustment methods are relatively passive, lacking precise mathematical models, resulting in delayed response and insufficient control accuracy. This makes it difficult to adapt to the pressure stability requirements of complex usage scenarios, hindering the reliable application of insulated glass in various environments. Summary of the Invention

[0003] In order to overcome the shortcomings of the prior art, the present invention aims to provide a method, system, device and storage medium for pressure regulation of insulated glass.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: This invention provides a pressure regulation method for insulated glass units (IGUs), applied to an IGU pressure regulation system. The IGU pressure regulation system includes an IGU and a pressure balancing device connected to it. The method includes: acquiring a glass pressure distribution map; dividing a preset glass cavity region into multiple regions based on a preset deep learning model, the glass pressure distribution map, and a preset set of isobars; encoding the multiple regions based on preset glass base point coordinates to obtain encoded region data; performing mapping analysis on the encoded region data using a preset measurement database to obtain glass cavity pressure parameters; acquiring external pressure measurement parameters and analyzing the glass cavity pressure parameters based on preset adjustment parameters and the external pressure measurement parameters to obtain optimized adjustment parameters; generating a pressure regulation command based on the optimized adjustment parameters; and controlling the pressure balancing device to perform pressure regulation on the IGU according to the pressure regulation command.

[0005] Furthermore, the step of dividing the preset glass cavity region into multiple regions based on the preset deep learning model, the glass pressure distribution map, and the preset isobar set includes: annotating the glass pressure distribution map based on the deep learning model and the isobar set to obtain an annotated pressure distribution map; performing feature analysis on the annotated pressure distribution map to obtain the pressure gradient; and dividing the glass cavity region into multiple regions based on the pressure gradient.

[0006] Furthermore, the step of analyzing the air pressure parameters inside the glass cavity based on preset adjustment parameters and external air pressure measurement parameters to obtain optimized adjustment parameters includes: performing characteristic analysis on the air pressure parameters inside the glass cavity based on preset air pressure distribution patterns to obtain air pressure fluctuation characteristics; analyzing the air pressure fluctuation characteristics based on external air pressure measurement parameters to obtain air pressure adjustment parameters; and optimizing the air pressure adjustment parameters based on adjustment coefficients to obtain optimized adjustment parameters.

[0007] Furthermore, the step of performing characteristic analysis on the air pressure parameters inside the glass cavity according to a preset air pressure distribution law to obtain air pressure fluctuation characteristics includes: analyzing the air pressure parameters inside the glass cavity according to a preset data analysis method to obtain the maximum air pressure value, continuous air pressure distribution data, and minimum air pressure value; calculating the difference between the maximum air pressure value and the minimum air pressure value to obtain the air pressure difference; and performing characteristic analysis on the continuous air pressure distribution data according to the air pressure distribution law, the air pressure difference, and a preset airflow interference coefficient to obtain air pressure fluctuation characteristics.

[0008] Furthermore, the step of analyzing the air pressure fluctuation characteristics based on external air pressure measurement parameters to obtain air pressure regulation parameters includes: analyzing the external air pressure measurement parameters according to a preset time series analysis model to obtain an air pressure fluctuation curve; performing deviation analysis on continuous air pressure distribution data based on the air pressure fluctuation curve to obtain a deviation coefficient; acquiring the measured glass strain force, and analyzing the air pressure fluctuation characteristics based on the deviation coefficient, a preset strain force safety threshold, and the measured glass strain force to obtain air pressure regulation parameters; the air pressure regulation parameters include exhaust regulation parameters and inflation regulation parameters.

[0009] Furthermore, the step of optimizing the air pressure regulation parameters according to the adjustment coefficient to obtain optimized regulation parameters includes: obtaining the compressive strength characteristics of the glass; analyzing the air pressure parameters inside the glass cavity according to the preset compressive boundary conditions and the compressive strength characteristics of the glass to obtain a safe pressure difference threshold; and optimizing the air pressure regulation parameters according to the adjustment coefficient and the safe pressure difference threshold to obtain optimized regulation parameters.

[0010] Furthermore, the pressure regulation system for insulating glass includes a control device, an insulating glass unit, and a pressure balancing device electrically connected to the control device, wherein the insulating glass unit and the pressure balancing device are connected.

[0011] Furthermore, the pressure adjustment device for insulating glass includes: a memory and at least one processor, the memory storing instructions; at least one processor invokes the instructions in the memory to cause the pressure adjustment device for insulating glass to perform the various steps of the pressure adjustment method for insulating glass as described above.

[0012] Furthermore, a computer-readable storage medium stores instructions that, when executed by a processor, implement the steps of the pressure regulation method for insulating glass as described above.

[0013] In the technical solution of this invention, by acquiring a glass pressure distribution map and dividing the area using a deep learning model and isobar set, the pressure characteristics of each area are clearly distinguishable, laying the foundation for targeted adjustment. Then, each divided area is coded based on the glass base point coordinates to ensure unique and standardized identification, structuring the area information and improving the efficiency and accuracy of subsequent processes. Through mapping analysis between the measurement database and the coded area data, reliable and accurate glass cavity pressure parameters are efficiently obtained, providing high-quality data support for adjustment. Finally, by combining external pressure measurement parameters and preset adjustment methods, optimized adjustment parameters and pressure regulation commands are generated, allowing the adjustment to precisely match changes in external pressure. The overall process effectively balances the internal pressure of the insulating glass and the external environmental pressure, reducing the risk of structural damage caused by excessive pressure difference and improving the adaptability, operational reliability, and safety of the insulating glass in complex pressure environments. Attached Figure Description

[0014] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a first flowchart of a pressure adjustment method for insulating glass provided in an embodiment of the present invention; Figure 2 This is a second flowchart of a pressure adjustment method for insulating glass provided in an embodiment of the present invention; Figure 3 A third flowchart of a pressure adjustment method for insulating glass provided in an embodiment of the present invention; Figure 4 A fourth flowchart of a pressure adjustment method for insulating glass provided in an embodiment of the present invention; Figure 5 A fifth flowchart of a pressure adjustment method for insulating glass provided in an embodiment of the present invention; Figure 6 A sixth flowchart of a pressure adjustment method for insulating glass provided in an embodiment of the present invention; Figure 7 This is a schematic diagram of the pressure adjustment system for insulating glass provided in an embodiment of the present invention; Figure 8 This is a structural schematic diagram of a pressure adjustment device for insulating glass provided in an embodiment of the present invention.

[0015] Figure Labels 2-Insulating glass; 1-Control device; 3-Pressure balancing device. Detailed Implementation

[0016] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0017] A pressure regulation method for insulated glass units is applied to a pressure regulation system for insulated glass units. The pressure regulation system includes insulated glass units and a pressure balancing device, which are connected. For ease of understanding, the specific process of an embodiment of the invention is described below. Please refer to [link to relevant documentation]. Figure 1 One embodiment of the compression adjustment method for insulating glass in this invention includes: 101. Obtain the glass pressure distribution map; 102. Divide the preset glass cavity region according to the preset deep learning model, glass pressure distribution map and preset isobar set to obtain multiple division regions; In this embodiment, by combining a deep learning model, a glass pressure distribution map, and a set of isobars to divide the glass cavity region, multiple regions can be accurately obtained. This makes the pressure characteristics of each region clear, providing a basis for targeted adjustment, effectively improving the accuracy of pressure management, and enhancing the adaptability and safety of the glass in complex environments. 103. Encode multiple partitioned regions according to the preset glass base point coordinates to obtain coded region data; In this embodiment, the coordinates of the glass base point are used as a unified reference to ensure that each divided region is unique and standardized, thus structuring the regional information and providing a precise data foundation for subsequent steps such as coding-based mapping analysis, thereby improving the efficiency and accuracy of the overall process. 104. Perform mapping analysis on the coded area data according to the preset measurement database to obtain the air pressure parameters inside the glass cavity; In this embodiment, the coded region data is structured identifier data generated by dividing the inner cavity into regions based on the coordinates of the glass base point (e.g., the code "Q1-03" represents "the 3rd partition with reference to base point Q1"). The measurement database stores real-time air pressure parameters of the glass inner cavity collected by various sensors. The data is stored according to the region dimension and includes information such as the instantaneous air pressure value, collection timestamp, and data validity identifier for each region. It serves as the data source pool for mapping analysis. The mapping rule between the code and the database is that the region location and range information contained in the code corresponds to the region classification label in the database (e.g., the code "B2-05" corresponds to the dataset of "the 5th partition" in the database). 105. Obtain external air pressure measurement parameters, and analyze the air pressure parameters inside the glass cavity based on the preset adjustment parameters and external air pressure measurement parameters to obtain optimized adjustment parameters; In this embodiment, by analyzing the air pressure parameters inside the glass cavity through external air pressure measurement parameters and adjustment methods, optimized adjustment parameters are obtained. This allows the adjustment parameters to accurately match changes in external air pressure, effectively balancing the air pressure inside the insulating glass cavity with the external environment, reducing the risk of glass structure damage caused by excessive pressure difference, improving the adaptability and operational reliability of insulating glass under different air pressure environments, and providing precise support for air pressure management. 106. Generate pressure adjustment commands based on optimized adjustment parameters; 107. Control the air pressure balance device to adjust the pressure of the insulating glass according to the pressure adjustment command; In this embodiment, the air pressure balancing device may be an intelligent electric air pressure regulating valve, a two-way pressure balancing valve, a flexible air bag-connecting pipe linkage device, a zoned piezoelectric micro regulating pump set, etc. In this embodiment, by acquiring a glass pressure distribution map and dividing the area using a deep learning model and isobar set, the pressure characteristics of each area are clearly distinguishable, laying the foundation for targeted adjustment. Then, each divided area is coded based on the glass base point coordinates to ensure unique and standardized identification, structuring the area information and improving the efficiency and accuracy of subsequent processes. Through mapping analysis between the measurement database and the coded area data, reliable and accurate glass cavity pressure parameters are efficiently obtained, providing high-quality data support for adjustment. Finally, by combining external pressure measurement parameters and preset adjustment methods, optimized adjustment parameters and pressure regulation commands are generated, allowing the adjustment to precisely match changes in external pressure. The overall process effectively balances the internal pressure of the insulating glass and the external environmental pressure, reducing the risk of structural damage caused by excessive pressure difference and improving the adaptability, operational reliability, and safety of the insulating glass in complex pressure environments.

[0018] Please see Figure 2 In the second embodiment of the compression adjustment method for insulating glass in this invention, step 102 specifically includes: 201. Label the glass pressure distribution map based on the deep learning model and the isobar set to obtain an labeled pressure distribution map; In this embodiment, annotation is completed using an isobar set (curves connecting points of equal pressure, reflecting the spatial distribution framework of air pressure) as the basic structure, combined with the intelligent recognition capabilities of a deep learning model. The isobar set provides a structured benchmark, and the deep learning model (such as the object detection model YOLO) locates key feature points (such as the center of extreme pressure and gradient abrupt change points) in the glass pressure distribution map and associates them with the corresponding air pressure values ​​of the isobars (such as "isobar L1 corresponds to 80 Pa"). Finally, key information such as the boundaries of high-pressure and low-pressure areas, isobar values, and gradient-sensitive points are annotated. Through the structured support of the deep learning model and isobars, the glass pressure distribution map is transformed into a visually labeled map with clear features and numerical correlations, providing accurate spatial reference for subsequent analysis. 202. Perform feature analysis on the labeled pressure distribution map to obtain the pressure gradient; In this embodiment, the pressure gradient is obtained by performing feature analysis on the marked pressure distribution map, which transforms the spatial change of pressure from a qualitative description into a quantitative indicator, clearly reflecting the magnitude and direction of the change. This provides a basis for the subsequent division of the glass cavity area, helps to make targeted adjustments, and improves the accuracy and effectiveness of pressure management. 203. Divide the glass cavity region according to the air pressure gradient to obtain multiple regions; In this embodiment, isobars are used as a structured benchmark, and deep learning models such as YOLO are used to annotate the pressure distribution map. This accurately locates key information such as extreme centers and gradient abrupt change points, generating a clearly defined visual annotation map. By analyzing the annotation map, the pressure gradient is obtained, transforming spatial changes into quantitative indicators. Based on the gradient, regions are divided, making the pressure characteristics of each region clear. This provides a precise basis for targeted adjustments, improves the accuracy and effectiveness of pressure management, and enhances the adaptability and safety of insulated glass in complex pressure environments.

[0019] Please see Figure 3 In the third embodiment of the compression adjustment method for insulating glass in this invention, step 105 specifically includes: 301. Based on the preset air pressure distribution law, perform characteristic analysis on the air pressure parameters inside the glass cavity to obtain the air pressure fluctuation characteristics; In this embodiment, the solution uses the air pressure distribution pattern as a clear analytical benchmark to conduct targeted characteristic analysis on the air pressure parameters inside the glass cavity, accurately extracting the air pressure fluctuation characteristics. It can clearly identify core characteristics such as whether the air pressure is uniform and whether the fluctuations are in line with normal operating conditions. The extracted air pressure fluctuation characteristics provide a basis for subsequent air pressure adjustment, which can specifically solve the air pressure imbalance problem, avoid risks such as sealing layer rupture and glass deformation, extend the service life of insulated glass, and adapt to the air pressure status monitoring needs of different usage scenarios, improving the accuracy and reliability of air pressure management. 302. Analyze the characteristics of air pressure fluctuations based on external air pressure measurement parameters to obtain air pressure regulation parameters; In this embodiment, by analyzing external air pressure measurement parameters to extract air pressure fluctuation characteristics, suitable air pressure regulation parameters are obtained. These air pressure regulation parameters are then used as the working parameters of the air pressure regulating valve to regulate the air pressure inside the insulating glass cavity. This effectively balances the air pressure inside the insulating glass cavity with that of the external environment, avoids the risk of damage to the glass structure, and enables the insulating glass to adapt to different air pressure environments, thereby improving the accuracy and reliability of insulating glass air pressure management. 303. Optimize the air pressure regulation parameters based on the adjustment coefficient to obtain optimized regulation parameters; In this embodiment, the air pressure adjustment parameters are optimized by adjusting the adjustment coefficient to obtain more adaptable optimized adjustment parameters. This allows the adjustment parameters to accurately meet the actual needs of different air pressure environments and glass conditions, effectively balance the air pressure inside the glass cavity and outside, and improve the adaptability and reliability of insulated glass in various air pressure environments. In this embodiment, the air pressure parameters inside the glass cavity are first analyzed based on the air pressure distribution pattern to accurately extract the air pressure fluctuation characteristics, providing a basis for the air pressure adjustment of the insulating glass. Then, the air pressure adjustment parameters are generated by combining the fluctuation characteristics of the external air pressure analysis to balance the air pressure inside the insulating glass cavity and the external environment, so that the insulating glass can adapt to different air pressure environments. Finally, the parameters are optimized by adjusting the coefficient to make them accurately fit the environment and the glass condition, further enhancing adaptability and improving the overall accuracy and reliability of air pressure management, ensuring the safe and stable operation of the insulating glass in various air pressure environments.

[0020] Please see Figure 4 In the fourth embodiment of the pressure adjustment method for insulating glass in this invention, step 301 specifically includes: 401. Analyze the air pressure parameters inside the glass cavity according to the preset data analysis method to obtain the maximum air pressure value, continuous air pressure distribution data and minimum air pressure value; In this embodiment, the air pressure parameters inside the glass cavity refer to the air pressure data that changes over time and space within the cavity of the insulating glass unit. This data is fundamental information reflecting the air pressure status inside the cavity and mainly includes: real-time time-series air pressure data: continuously collected instantaneous air pressure values ​​that change over time (e.g., 10 sets of real-time monitoring data per second); spatial distribution correlation data: air pressure correlation data for different regions of the cavity (e.g., the center and the edge) (multiple sensors are required for data collection in some scenarios). The data analysis method is a standardized processing approach designed to address the temporal, continuous, and easily disturbed characteristics of the air pressure parameters inside the glass cavity. Specifically, it includes: data preprocessing methods: employing the 3σ criterion (removing outliers exceeding the mean ± 3 standard deviations) and linear interpolation (completing missing data points) to filter invalid data caused by sensor errors, environmental vibrations, etc.; and a temporal extreme value screening method: using global traversal and comparison of adjacent data to identify the maximum and minimum air pressure values ​​from the purified temporal data. Sliding window verification method: By setting a fixed time window (e.g., 50ms / window), the data is verified by windowing, which can obtain continuous air pressure distribution data, which not only preserves the continuous change trajectory, but also avoids single-point noise interference. 402. Calculate the pressure difference by subtracting the minimum pressure value from the maximum pressure value; In this embodiment, the pressure difference value directly reflects the fluctuation range of the internal pressure (e.g., a difference of 50Pa indicates a fluctuation amplitude of 50Pa). The larger the value, the more significant the pressure imbalance. This indicator provides amplitude weight for subsequent feature analysis, giving the fluctuation analysis a clear quantitative benchmark. 403. Based on the air pressure distribution pattern, air pressure difference, and preset airflow interference coefficient, perform characteristic analysis on continuous air pressure distribution data to obtain air pressure fluctuation characteristics; In this embodiment, the air pressure distribution pattern is a preset reasonable air pressure distribution benchmark (such as the industry standard or experimental verification that "the internal air pressure should be uniformly distributed with regional differences ≤10Pa"), which serves as a reference for judging whether the fluctuations conform to normal operating conditions; the air pressure difference is a quantified fluctuation amplitude index that determines the priority of feature analysis (such as when the air pressure difference is >30Pa, the focus is on analyzing the stability of the fluctuation amplitude; when the difference is small, the focus is on analyzing the uniformity of regional distribution); the airflow interference coefficient is a preset correction coefficient (such as a coefficient of 1.2 for transportation vibration and 0.8 for static use), used to eliminate false fluctuations caused by external interference (such as short-term air pressure changes caused by instantaneous airflow impact), ensuring that the features reflect the true air pressure imbalance. In this embodiment, data analysis methods are used to analyze the air pressure parameters inside the glass cavity, accurately extracting the maximum air pressure value, minimum air pressure value, and continuous distribution data to ensure the authenticity and reliability of the basic data, laying a solid foundation for subsequent analysis. By calculating the air pressure difference, the fluctuation amplitude is quantified. Combined with the air pressure distribution pattern and airflow interference coefficient, the fluctuation characteristics are accurately extracted, false interference is eliminated, and the focus is on real imbalance problems (such as amplitude stability and regional uniformity), providing a basis for the air pressure regulation of insulating glass and enhancing the accuracy and applicability of air pressure management.

[0021] Please see Figure 5 In the fifth embodiment of the compression adjustment method for insulating glass in this invention, step 302 specifically includes: 501. Analyze the external air pressure measurement parameters according to the preset time series analysis model to obtain the air pressure fluctuation curve; In this embodiment, time series analysis models (such as ARIMA (Autoregressive Integral Moving Average) and LSTM (Long Short-Term Memory)) are used to process external air pressure measurement parameters. The core is to uncover the trend of air pressure changes over time, the frequency of fluctuations, and the patterns of peak and trough values, ultimately outputting a visualized air pressure fluctuation curve. ARIMA and LSTM are used to process external air pressure measurement parameters. ARIMA is suitable for capturing air pressure changes with strong stability and obvious linear characteristics (such as periodic fluctuations in plains areas), and uses autoregression, differencing, and smoothing to uncover short-term trends and periodicity. LSTM is suitable for nonlinear and highly volatile scenarios (such as sudden changes in air pressure at high altitudes), using a gating mechanism to remember long-term dependencies and accurately extract the trend of air pressure changes over time, the frequency of fluctuations, and the patterns of peak and trough values, ultimately outputting a visualized fluctuation curve. This step enables the prediction of external air pressure changes and reserves a response window for adjustment. 502. Perform deviation analysis on continuous pressure distribution data based on the pressure fluctuation curve to obtain the deviation coefficient; In this embodiment, the external air pressure fluctuation curve is used as a reference, and the continuous air pressure distribution data of the glass cavity (reflecting the air pressure dynamics of each region of the cavity) is compared time by time. The quantitative values ​​of the two in amplitude difference (such as peak deviation), imbalance direction (air pressure in the cavity > external pressure, then air is released, and vice versa), phase difference (such as misalignment of change rhythm), and rate difference (such as difference in fluctuation speed) are calculated and integrated to obtain the deviation coefficient. This coefficient directly reflects the degree of adaptation between the internal cavity air pressure and the external air pressure. The larger the value, the more significant the imbalance, providing a quantitative basis for setting the subsequent adjustment intensity. 503. Obtain the measured glass strain force, and analyze the air pressure fluctuation characteristics based on the deviation coefficient, the preset strain force safety threshold and the measured glass strain force to obtain the air pressure regulation parameters; In this embodiment, the measured glass strain force (which directly reflects the mechanical impact of air pressure imbalance on the glass structure, such as the tensile force of the sealing layer and the deformation stress of the glass) is analyzed together with the deviation coefficient to assess the fluctuation characteristics: if the deviation coefficient is large and the strain force is close to the strain force safety threshold (e.g., about to exceed the glass compressive strength limit), it indicates that the imbalance has threatened the structural safety, and a large-amplitude exhaust or inflation adjustment parameter needs to be output; if the deviation coefficient is large but the measured glass strain force is small (e.g., only slight fluctuation), a stable adjustment parameter is output, and finally, based on the direction of the imbalance, the specific values ​​of the exhaust or inflation adjustment parameters (e.g., exhaust volume, inflation rate) are determined. The air pressure regulation parameters include exhaust regulation parameters and inflation regulation parameters; In this embodiment, a time series model is used to accurately mine the external air pressure trend, achieve trend prediction, and obtain the air pressure fluctuation curve. By using deviation analysis, the amplitude, phase, rate difference and imbalance direction of the internal and external air pressure are quantified, and a deviation coefficient is generated to provide a clear basis for the air pressure adjustment of the inner cavity of the insulating glass, avoiding over- or under-adjustment. Combined with the measured glass strain force and strain force safety threshold calibration, a large adjustment parameter is output when the imbalance threatens the structure, and a stable adjustment is adopted when there is slight fluctuation. This balances the air pressure and avoids damage such as sealing layer cracking and glass deformation. This solution takes into account predictability, accuracy and structural safety, is suitable for multiple scenarios, extends the service life of insulating glass, and improves the reliable application capability in complex environments.

[0022] Please see Figure 6 In the sixth embodiment of the compression adjustment method for insulating glass in this invention, step 303 specifically includes: 601. Obtain the compressive strength characteristics of the glass; In this embodiment, the glass compressive strength characteristics, such as the material parameters, thickness specifications, and sealing layer resistance of the insulating glass, are core characteristics that are obtained through laboratory compressive strength testing and material factory parameter calibration, and directly determine the rationality of the subsequent safety threshold. 602. Analyze the air pressure parameters inside the glass cavity based on the preset compressive boundary conditions and glass compressive strength characteristics to obtain the safe pressure difference threshold. In this embodiment, by combining the pressure resistance boundary conditions (such as industry safety standards and extreme environment pressure resistance requirements) with the actual obtained glass pressure resistance characteristics, the maximum allowable difference between the air pressure inside the glass cavity and the external air pressure is determined through quantitative analysis. For example, for high-altitude transportation scenarios, the safety pressure difference threshold will be reduced based on the upper limit of glass pressure resistance to prevent the sealing layer from cracking due to high pressure in the cavity; for aged glass after long-term use, the threshold can be dynamically adjusted to adapt to its strength decay. 603. Optimize the air pressure regulation parameters based on the adjustment coefficient and the safe pressure difference threshold to obtain optimized regulation parameters; In this embodiment, the adjustment coefficients (including glass aging attenuation coefficients, air pressure fluctuation coefficients, etc.) can be dynamically adjusted according to the actual scenario (such as plateau or plain), the glass usage time (new glass or aged glass), and the air pressure fluctuation amplitude. For example, in a plateau scenario, the adjustment coefficient can be increased to enhance the exhaust regulation force, while in an aged glass scenario, the adjustment coefficient can be decreased to avoid impact damage. The final output is an optimized adjustment parameter that balances safety and adaptability. First, the actual value of the adjustment parameter is limited by a safe pressure difference threshold. Then, the air pressure regulation parameters (rate and amplitude) are calibrated and corrected according to the adjusted adjustment coefficients. The final output is an optimized adjustment parameter that meets safety requirements and is suitable for specific usage scenarios. In this embodiment, the compressive strength characteristics of the glass are first obtained, and a dynamic safe pressure difference threshold is generated in combination with the compressive boundary conditions. This threshold is adaptable to scenarios such as high-altitude transportation and aging use, thus preventing glass breakage caused by excessive pressure difference and extending service life. Then, the adjustment coefficient is adjusted based on the safe pressure difference threshold to avoid adjustment imbalance. Finally, the air pressure adjustment parameters are optimized through the adjustment coefficient to obtain optimized adjustment parameters. The solution takes into account both safety and adaptability, and improves the reliable application capability of insulated glass in complex environments.

[0023] The above describes the pressure adjustment method for insulating glass in embodiments of the present invention. The following describes the pressure adjustment system for insulating glass in embodiments of the present invention. Please refer to [link / reference]. Figure 7 One embodiment of the pressure regulation system for insulating glass in this invention includes: The pressure regulation system for insulating glass includes a control device 1, an insulating glass unit 2, and a pressure balancing device 3 electrically connected to the control device 1. The insulating glass unit 2 and the pressure balancing device 3 are connected.

[0024] Figure 8This is a schematic diagram of the structure of a pressure adjustment device 900 for insulating glass provided in an embodiment of the present invention. The pressure adjustment device 900 for insulating glass can vary considerably due to different configurations or performance characteristics. It may include one or more central processing units (CPUs) 910 (e.g., one or more processors) and a memory 920, and one or more storage media 930 (e.g., one or more mass storage devices) storing application programs 933 or data 932. The memory 920 and storage media 930 can be temporary or persistent storage. The program stored in the storage media 930 may include one or more modules (not shown in the diagram), each module may include a series of instruction operations on the pressure adjustment device 900 for insulating glass. Furthermore, the processor 910 may be configured to communicate with the storage media 930 and execute the series of instruction operations in the storage media 930 on the pressure adjustment device 900 for insulating glass to implement the steps of the pressure adjustment method for insulating glass provided in the above-described method embodiments.

[0025] The pressure adjustment device 900 for insulated glass may also include one or more power supplies 940, one or more wired or wireless network interfaces 950, one or more input / output interfaces 960, and / or one or more operating devices 931, such as Windows Server, MacOSX, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that... Figure 8 The structure of the pressure adjustment device 900 for insulating glass shown does not constitute a limitation on the pressure adjustment device 900 for insulating glass. It may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0026] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the steps of a compression adjustment method for insulating glass.

[0027] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the device or unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0028] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0029] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for adjusting the pressure of insulating glass, characterized in that, A pressure regulating system for insulated glass units, the system comprising an insulated glass unit and a pressure balancing device, wherein the insulated glass unit and the pressure balancing device are connected, comprising: Obtain the glass pressure distribution map; The glass cavity region is divided into multiple regions based on a preset deep learning model, a glass pressure distribution map, and a preset set of isobars. Multiple regions are encoded based on preset glass base point coordinates to obtain encoded region data; The data in the coded region is mapped and analyzed according to a preset measurement database to obtain the air pressure parameters inside the glass cavity; Obtain external air pressure measurement parameters, and analyze the air pressure parameters inside the glass cavity based on preset adjustment parameters and external air pressure measurement parameters to obtain optimized adjustment parameters; Generate pressure adjustment commands based on optimized adjustment parameters; The pressure balancing device is controlled to adjust the pressure of the insulating glass according to the pressure adjustment command.

2. The compression adjustment method for insulating glass as described in claim 1, characterized in that, The glass cavity region is divided according to a preset deep learning model, a glass pressure distribution map, and a preset set of isobars to obtain multiple divided regions, including: The glass pressure distribution map is annotated based on the deep learning model and the isobar set to obtain an annotated pressure distribution map; Feature analysis is performed on the labeled pressure distribution map to obtain the pressure gradient; The glass cavity is divided into multiple regions based on the air pressure gradient.

3. The compression adjustment method for insulating glass as described in claim 1, characterized in that, The process of analyzing the internal air pressure parameters of the glass cavity based on preset adjustment parameters and external air pressure measurement parameters to obtain optimized adjustment parameters includes: Based on the preset air pressure distribution law, the air pressure parameters inside the glass cavity are characterized to obtain the air pressure fluctuation characteristics. The characteristics of air pressure fluctuations are analyzed based on external air pressure measurement parameters to obtain air pressure regulation parameters; The pressure regulation parameters are optimized based on the adjustment coefficient to obtain the optimal regulation parameters.

4. The compression adjustment method for insulating glass as described in claim 3, characterized in that, The step of performing characteristic analysis on the air pressure parameters inside the glass cavity according to a preset air pressure distribution law to obtain air pressure fluctuation characteristics includes: The air pressure parameters inside the glass cavity are analyzed according to the preset data analysis method to obtain the maximum air pressure value, continuous air pressure distribution data and minimum air pressure value; The pressure difference is calculated by subtracting the minimum pressure from the maximum pressure value. Based on the pressure distribution pattern, pressure difference, and preset airflow interference coefficient, the continuous pressure distribution data is characterized to obtain the pressure fluctuation characteristics.

5. The compression adjustment method for insulating glass as described in claim 4, characterized in that, The step of analyzing air pressure fluctuation characteristics based on external air pressure measurement parameters to obtain air pressure regulation parameters includes: The external air pressure measurement parameters are analyzed according to the preset time series analysis model to obtain the air pressure fluctuation curve; Deviation analysis is performed on continuous pressure distribution data based on pressure fluctuation curves to obtain deviation coefficients; The measured glass strain is obtained, and the air pressure fluctuation characteristics are analyzed based on the deviation coefficient, the preset strain safety threshold, and the measured glass strain to obtain the air pressure regulation parameters. The pressure regulation parameters include exhaust regulation parameters and inflation regulation parameters.

6. The compression adjustment method for insulating glass as described in claim 3, characterized in that, The optimization of the air pressure regulation parameters based on the adjustment coefficient to obtain optimized regulation parameters includes: Obtain the compressive strength characteristics of glass; The gas pressure parameters inside the glass cavity are analyzed based on the preset compressive boundary conditions and the compressive strength characteristics of the glass to obtain the safe pressure difference threshold. The pressure regulation parameters are optimized based on the adjustment coefficient and the safe pressure difference threshold to obtain the optimized regulation parameters.

7. A pressure regulation system for insulating glass, characterized in that, It includes a control device, an insulated glass unit, and a pressure balancing device electrically connected to the control device, wherein the insulated glass unit and the pressure balancing device are connected.

8. A pressure regulating device for insulating glass, characterized in that, include: A memory and at least one processor, wherein the memory stores instructions; At least one of the processors invokes the instructions in the memory to cause the pressure adjustment device for insulating glass to perform the steps of the pressure adjustment method for insulating glass as claimed in any one of claims 1-6.

9. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the steps of the compression adjustment method for insulating glass as described in any one of claims 1-6.

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