A glass edging system

Abstract

This invention relates to the field of glass production technology, specifically disclosing a glass edging system. The invention includes a distributed sensing unit, a closed-loop control unit, an active execution drive unit, and a low-power wireless communication unit. The distributed sensing unit is used to collect real-time data on glass edge stress and clamping gap for glass edging adaptation. This invention achieves real-time, comprehensive, and accurate collection of core operating conditions of the glass edging system across all dimensions through the distributed sensing unit, effectively capturing early hidden dangers in the glass and edging system. Through the coordinated linkage of the closed-loop control unit and the active execution drive unit, a complete closed loop of "monitoring-judgment-execution-feedback" is constructed, enabling proactive intervention and precise elimination of abnormal operating conditions. The low-power wireless communication unit enables bidirectional data interaction between the system and external operation and maintenance platforms, seamlessly connecting to intelligent operation and maintenance systems in scenarios such as smart buildings, intelligent connected vehicles, and rail transit.

Description

Technical Field

[0001] This invention relates to the field of glass production technology, and specifically to a glass edging system. Background Technology

[0002] Glass edging systems are a core component of glass installation and protection, and their performance directly determines the sealing reliability, structural safety, and service life of the glass system. Currently, most glass edging systems in the industry adopt a passive, static protection architecture, relying solely on mechanical structures and seals to fix and seal the glass. They lack systematic active sensing, closed-loop control, and network interaction capabilities, resulting in numerous unresolved technical shortcomings in practical applications. The lack of operational condition awareness leads to severely delayed fault identification. Existing glass cladding systems lack comprehensive, distributed operational condition data acquisition capabilities, making it impossible to monitor key operational parameters in real time, such as stress concentration at the glass edge, changes in clamping gaps, delamination of the sealing interface, and early water seepage. The health status of the glass and cladding relies entirely on manual inspections. Inspections of high-rise building curtain walls require high-altitude operations, which are costly, risky, and time-consuming. Inspections of vehicle-mounted and rail transit glass can only be carried out when the system is not in operation or parked, failing to detect early hidden problems. Faults are often only discovered after leaks, glass breakage, or falls occur, posing serious safety hazards.

[0003] Therefore, it is necessary to provide a new technical solution to overcome the above-mentioned defects. Summary of the Invention

[0004] The purpose of this invention is to provide a glass edging system that can effectively solve the above-mentioned technical problems.

[0005] To achieve the objectives of this invention, the following technical solution is adopted: A glass cladding system includes: a distributed sensing unit, a closed-loop control unit, an active execution drive unit, and a low-power wireless communication unit; The distributed sensing unit is used to collect real-time data on glass edge stress, clamping gap, wind pressure vibration, sealing interface contact pressure, and sealing water leakage, and transmit the collected real-time operating data to the closed-loop control unit. The closed-loop control unit is electrically connected to the distributed sensing unit and the active execution drive unit, respectively. It is used to receive real-time operating condition data uploaded by the distributed sensing unit, complete data parsing, operating condition identification and anomaly location, and generate corresponding drive control commands based on the operating condition judgment results, and send them to the active execution drive unit to realize real-time monitoring-active compensation full closed-loop control of glass edging. The active execution drive unit is used to receive drive control commands issued by the closed-loop control unit and drive the glass edging actuator to dynamically adjust the clamping force and sealing compensation amount, thereby eliminating potential abnormal operating conditions. The low-power wireless communication unit is electrically connected to the closed-loop control unit and is used to upload the system's real-time operating condition data, health status data, and fault early warning information to the external operation and maintenance platform. At the same time, it receives remote control commands issued by the external operation and maintenance platform and transmits them to the closed-loop control unit.

[0006] Furthermore, the distributed sensing unit includes a stress vibration monitoring submodule, a gap deformation monitoring submodule, and a sealing leakage monitoring submodule; The stress vibration monitoring submodule uses a distributed fiber optic sensor array or a piezoelectric thin film sensor array to continuously collect stress distribution data at the glass edge, frequency and amplitude data of wind pressure vibration, and contact pressure data at the sealing interface. The gap deformation monitoring submodule uses a multi-node distributed displacement sensor array to collect gap data and glass plane deformation data at the interface between the glass and the edge clamping. The sealing and seepage monitoring submodule uses a distributed impedance sensor array to collect seepage data at the sealing interface.

[0007] Furthermore, the closed-loop control unit includes a signal conditioning submodule, a data processing and operating condition judgment submodule, a drive control submodule, and a power management submodule; The signal conditioning submodule is used to amplify, filter, and perform analog-to-digital conversion on the analog signals collected by the distributed sensing unit, and output standardized digital operating condition data. The data processing and working condition judgment submodule has a built-in glass edge safety threshold model and a lightweight AI anomaly early warning algorithm, which is used to perform real-time analysis of standardized digital working condition data, compare the safety threshold to complete the normal / abnormal working condition judgment, and locate the abnormal location and abnormal type. The drive control submodule is used to generate an appropriate PID closed-loop drive control command based on the working condition judgment result and send it to the active execution drive unit. The power management submodule is used to provide power management for the entire system, supports power supply from multiple external power sources and emergency power supply from backup power sources, and can realize continuous monitoring and early warning functions of the system in the event of a power outage.

[0008] Furthermore, the active execution drive unit adopts a multi-node partitioned independent control architecture, including several groups of drive control sub-nodes that correspond one-to-one with the monitoring nodes of the distributed sensing unit.

[0009] Furthermore, the active execution drive unit has a built-in dual-mode adaptive drive strategy, including a high-frequency, high-precision fine-tuning mode and a large-stroke steady-state compensation mode. The high-frequency, high-precision fine-tuning mode is used to cope with dynamic working conditions such as vibration and instantaneous stress fluctuations, and to realize real-time dynamic adjustment of clamping stiffness. The large-stroke steady-state compensation mode is used to cope with steady-state conditions such as gap changes caused by thermal expansion and contraction and pressure decay caused by seal aging, so as to achieve continuous and stable control of the seal compensation amount.

[0010] Furthermore, the low-power wireless communication unit adopts a dual-mode communication architecture of wide-area low-power communication and short-range high real-time communication, and has a built-in AES data encryption module.

[0011] Furthermore, the closed-loop control unit incorporates a hierarchical early warning mechanism and a full life-cycle health management module; The tiered early warning mechanism can generate corresponding local early warning instructions and remote early warning information according to the anomaly level, and push them to the external operation and maintenance platform simultaneously. The full lifecycle health management module can store system operating condition data, drive action records, and abnormal event data at all times, and generate a full lifecycle health record for the glass edging system.

[0012] Furthermore, this includes the following steps: S1. Real-time data on glass edge stress, clamping gap, wind pressure vibration, sealing contact pressure, and sealing water leakage are collected by the distributed sensing unit and transmitted to the closed-loop control unit. S2, the closed-loop control unit preprocesses and standardizes the collected real-time operating data, and completes data analysis through the built-in safety threshold model and AI early warning algorithm. It compares the data with the preset safety threshold to determine whether the current operating condition is normal. If the operating condition is normal, it maintains the current edge clamping and sealing state and continues to collect data. If the operating condition is abnormal, it accurately locates the abnormal location and abnormal type and proceeds to the next step. S3. The closed-loop control unit generates corresponding drive control commands based on the abnormal location, type and degree of abnormality, and sends them to the drive control sub-nodes of the corresponding section of the active execution drive unit. The drive edge-wrapping actuator precisely adjusts the clamping force and sealing compensation amount of the corresponding section to eliminate potential abnormal working conditions. S4. The distributed sensing unit collects the operating condition data after compensation and adjustment in real time and feeds it back to the closed-loop control unit to verify the effect of anomaly elimination. If the anomaly is not eliminated, the control parameters are optimized and compensation control is repeated. If the anomaly cannot be eliminated or there is an emergency safety hazard, a graded early warning is triggered and the early warning information is pushed to the external operation and maintenance platform simultaneously. The S5 closed-loop control unit continuously stores real-time operating condition data, drive action records, and abnormal event data, generating a full lifecycle health record for the glass edging system. This record is then synchronized to an external operation and maintenance platform via a low-power wireless communication unit, enabling multi-node clustered intelligent operation and maintenance and full lifecycle management.

[0013] Compared with existing technologies, the present invention has the following advantages: The present invention achieves real-time, comprehensive, and accurate acquisition of the core working conditions of glass edging through a distributed sensing unit, which can effectively capture early hidden dangers of glass and edging systems; through the coordinated linkage of closed-loop control unit and active execution drive unit, a complete closed loop of "monitoring-judgment-execution-feedback" is constructed, which can actively intervene in and accurately eliminate abnormal working conditions; through a low-power wireless communication unit, the system realizes bidirectional data interaction with external operation and maintenance platforms, which can seamlessly connect to intelligent operation and maintenance systems in scenarios such as smart buildings, intelligent connected vehicles, and rail transit. Attached Figure Description

[0014] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0015] Figure 1 This is a schematic diagram of a glass edge-sealing system according to the present invention; Figure 2 This is a flowchart of a glass edging system according to the present invention. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0017] In the description of this invention, it should be understood that the terms "center," "lateral," "longitudinal," "front," "rear," "left," "right," "upper," "lower," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the scope of protection of this invention. When a component is referred to as being "fixed to" another component, it can be directly on the other component or there may be an intermediate component. When a component is considered to be "connected" to another component, it can be directly connected to the other component or there may be an intermediate component. When a component is considered to be "set on" another component, it can be directly set on the other component or there may be an intermediate component. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only.

[0018] like Figures 1 to 2 As shown, the present invention relates to a glass edging system, comprising: The glass edging system includes a distributed sensing unit, a closed-loop control unit, an active execution drive unit, and a low-power wireless communication unit. The signal output terminal of the distributed sensing unit is electrically connected to the signal input terminal of the closed-loop control unit. The drive signal output terminal of the closed-loop control unit is electrically connected to the control terminal of the active execution drive unit. The low-power wireless communication unit is bidirectionally electrically connected to the closed-loop control unit, together forming a fully closed-loop intelligent control system that can realize real-time monitoring and active compensation of the glass edging.

[0019] In some embodiments, the distributed sensing unit includes a stress vibration monitoring submodule, a gap deformation monitoring submodule, and a sealing leakage monitoring submodule. The monitoring nodes of the stress vibration monitoring submodule, the gap deformation monitoring submodule, and the sealing leakage monitoring submodule are arranged at equal intervals along the adaptation length direction of the glass edge to form a distributed monitoring network covering the entire length of the glass edge. This network is used to collect real-time data on glass edge stress, clamping gap, wind pressure vibration, sealing interface contact pressure, and sealing leakage of the glass edge, and transmit the collected real-time operating condition data to the closed-loop control unit.

[0020] In some embodiments, the stress vibration monitoring submodule employs a distributed fiber optic sensing array or a piezoelectric thin film sensing array. For long-distance deployment scenarios such as building curtain walls, a distributed fiber Bragg grating sensing array is preferred. The grating measuring points within the array are evenly spaced along the entire length of the glass edge, with the measuring point spacing set to 100mm-300mm. It fits into the clamping interface between the glass and the edging, and can continuously collect axial and radial stress distribution data of the glass edge, frequency and amplitude data of wind pressure vibration, and contact pressure data of the sealing interface. The strain measurement accuracy can reach ±2με, and the response frequency covers 0.1Hz-1000Hz. For short-distance, high-vibration scenarios such as vehicle-mounted and rail transit applications, a polyvinylidene fluoride piezoelectric thin film sensing array is preferred, as it has excellent shock and vibration resistance and can collect dynamic vibration and stress data in real time.

[0021] In some embodiments, the gap deformation monitoring submodule adopts a multi-node distributed displacement sensing array, specifically a miniature laser displacement sensor or capacitive displacement sensor that is deployed one-to-one with the measuring points of the stress vibration monitoring submodule. Its measurement accuracy can reach ±1μm, and it is used to collect gap data and glass plane deformation data of the glass and edge clamping interface in real time, and accurately capture gap changes caused by thermal expansion and contraction and sealing aging.

[0022] In some embodiments, the sealing and seepage monitoring submodule adopts a distributed impedance sensing array, specifically a distributed impedance seepage sensing cable laid along the entire length of the glass edge sealing interface. The sensing cable is laid in the detection cavity formed by the edge sealing structure. When the seal fails and seepage occurs, the impedance value of the sensing cable changes abruptly, and the seepage data of the edge sealing interface can be collected in real time. With the help of distributed measuring points, the seepage location can be accurately located.

[0023] In some embodiments, the closed-loop control unit includes a signal conditioning submodule, a data processing and operating condition judgment submodule, a drive control submodule, and a power management submodule. The input terminal of the signal conditioning submodule is electrically connected to each submodule of the distributed sensing unit, the output terminal of the signal conditioning submodule is electrically connected to the input terminal of the data processing and operating condition judgment submodule, the output terminal of the data processing and operating condition judgment submodule is electrically connected to the input terminal of the drive control submodule, the output terminal of the drive control submodule is electrically connected to the active execution drive unit, and the power management submodule provides power supply management for all units in the entire system.

[0024] In some embodiments, the signal conditioning submodule has built-in signal amplification circuit, filtering circuit and analog-to-digital conversion circuit, which are used to amplify, filter and convert multiple analog signals collected by the distributed sensing unit to remove environmental electromagnetic interference and temperature drift, and output standardized digital operating condition data to the data processing and operating condition judgment submodule.

[0025] In some embodiments, the data processing and operating condition judgment submodule adopts an industrial-grade low-power MCU, which has a built-in glass edge safety threshold model and a lightweight AI anomaly early warning algorithm. The safety threshold model has built-in multi-level safety thresholds for stress, gap, vibration, sealing pressure, and water seepage, and can be adapted and adjusted according to different application scenarios such as buildings, vehicles, and rail transit. The lightweight AI anomaly early warning algorithm adopts a lightweight neural network model, which can perform real-time analysis of standardized digital operating condition data, compare the safety thresholds to determine whether the operating condition is normal or abnormal, and accurately locate the location and type of anomaly. The anomaly types include stress concentration, gap exceeding the standard, vibration exceeding the limit, seal debonding, and water seepage.

[0026] In some embodiments, the drive control submodule is used to generate an appropriate PID closed-loop drive control command based on the working condition judgment result, combined with the abnormal location, abnormal type and abnormal degree, and send it to the active execution drive unit to achieve precise active compensation control.

[0027] In some embodiments, the power management submodule supports power supply from multiple external power sources, including building mains power, vehicle 12V / 24V power supply, and photovoltaic power supply. It also has a built-in high-capacity backup lithium battery, which can realize continuous monitoring and early warning functions for the system for no less than 72 hours in the event of a power outage. The power management submodule also has a built-in low-power management circuit, with static standby power consumption ≤50μA and dynamic operating power consumption ≤500mW, which is suitable for low-power operation and maintenance requirements.

[0028] In some embodiments, the closed-loop control unit incorporates a hierarchical early warning mechanism and a full lifecycle health management module. The hierarchical early warning mechanism generates corresponding local early warning commands and remote early warning information based on the level of anomaly. Specifically, it is divided into three levels of early warning: Level 1 warnings are for early hidden hazards, including slight decrease in sealing pressure and slight exceedance of stress, which only record data and synchronize to the operation and maintenance platform; Level 2 warnings are for anomalies requiring intervention, including excessive gaps and early debonding of seals, which push early warning information to operation and maintenance personnel and simultaneously initiate active compensation control; Level 3 warnings are for emergency safety hazards, including water leakage and severe exceedance of stress, which trigger local audible and visual warnings and simultaneously push emergency early warning information to the operation and maintenance platform and relevant personnel. The full lifecycle health management module incorporates a large-capacity storage chip, which can store system operating data, drive action records, and abnormal event data at all times. Based on historical data, it generates a full lifecycle health record for the glass edging system. At the same time, it can predict the aging trend of seals and the deterioration trend of glass performance through a built-in degradation trend prediction algorithm and push operation and maintenance prompts in advance.

[0029] In some embodiments, the active execution drive unit adopts a multi-node partitioned independent control architecture, including several groups of drive control sub-nodes that correspond one-to-one with the monitoring nodes of the distributed sensing unit. Each group of drive control sub-nodes can independently receive instructions from the closed-loop control unit to complete the precise control of the clamping force and sealing compensation amount of the corresponding section, realize directional compensation of abnormal positions, and avoid additional stress caused by uniform adjustment of the entire section.

[0030] In some embodiments, the active execution drive unit has a built-in dual-mode adaptive drive strategy, including a high-frequency, high-precision fine-tuning mode and a large-stroke steady-state compensation mode, which can be automatically switched according to the type of working condition. The high-frequency, high-precision fine-tuning mode is used to deal with dynamic working conditions such as typhoons, vehicle vibration, and instantaneous impacts, with a response speed of ≤1ms. It can realize real-time dynamic adjustment of clamping stiffness, suppress alternating vibration and instantaneous stress fluctuations, and avoid fatigue damage to the glass. The large-stroke steady-state compensation mode is used to deal with steady-state working conditions such as thermal expansion and contraction caused by alternating high and low temperatures and pressure decay caused by aging of seals. It can achieve a maximum stroke adjustment of ±2mm, continuously and stably regulate the sealing compensation amount and clamping force, restore sealing performance, and eliminate the hidden danger of excessive gaps.

[0031] In some embodiments, the active execution drive unit supports clamping state maintenance control under power failure conditions, which can maintain the current clamping force and sealing compensation amount after the system is powered off, avoid sudden changes in working conditions, and reduce the static power consumption of the system. It is obvious to those skilled in the art that the triggering conditions and maintenance duration of clamping state maintenance can be adjusted according to the power consumption requirements of the application scenario.

[0032] In some embodiments, the low-power wireless communication unit is used to upload real-time operating condition data, health status data, and fault warning information of the system to an external operation and maintenance platform. At the same time, it receives remote control commands issued by the external operation and maintenance platform and transmits them to the closed-loop control unit. The low-power wireless communication unit adopts a dual-mode communication architecture of wide-area low-power communication and short-range high real-time communication, which can be adapted and switched according to the application scenario. For wide-area deployment scenarios such as building curtain walls, NB-IoT or LoRa wide-area low-power communication mode is used to achieve low-power, wide-coverage long-distance data transmission. For scenarios with high real-time requirements such as vehicles and rail transit, CAN bus or Bluetooth 5.0 short-range communication mode is used to achieve high real-time and high-reliability data interaction.

[0033] In some embodiments, the low-power wireless communication unit has a built-in AES128 data encryption module, and all transmitted data is hardware encrypted to ensure data transmission security. It also supports local edge computing and offline operation when the network is disconnected. In the offline state, the closed-loop control unit can independently complete the closed-loop control of real-time monitoring and active compensation of the entire process without relying on the cloud server, thus ensuring the reliability of system operation.

[0034] In some embodiments, the closed-loop control process of the glass edging system includes five stages: real-time data acquisition under all operating conditions, data analysis and intelligent judgment of operating conditions, directional adaptive active compensation control, closed-loop feedback and hierarchical early warning, and intelligent operation and maintenance management throughout the entire life cycle. In the real-time data acquisition stage, the stress and vibration monitoring submodule, gap deformation monitoring submodule, and sealing leakage monitoring submodule of the distributed sensing unit are used to collect real-time data on the glass edge stress, clamping gap, wind pressure vibration, sealing contact pressure, and sealing leakage of the glass edging system. After signal conditioning, the data is transmitted to the data processing and operating condition judgment submodule of the closed-loop control unit. The acquisition frequency can be adaptively adjusted according to the operating conditions. The acquisition frequency is 1Hz under static operating conditions and is increased to 1000Hz under dynamic vibration operating conditions.

[0035] In some embodiments, during the data parsing and intelligent working condition judgment stage, the data processing and working condition judgment submodule of the closed-loop control unit preprocesses and standardizes the collected real-time working condition data, completes data analysis through the built-in safety threshold model and AI early warning algorithm, compares the data with the preset safety threshold to determine whether the current working condition is normal. If the working condition is normal, the current edge clamping and sealing state is maintained and data acquisition continues. If the working condition is abnormal, the abnormal location and abnormal type are accurately located, and the system enters the directional adaptive active compensation control stage.

[0036] In some embodiments, during the directional adaptive active compensation control stage, the drive control submodule of the closed-loop control unit generates corresponding PID drive control commands based on the abnormal location, abnormal type, and abnormality degree, and sends them to the drive control subnodes of the corresponding section of the active execution drive unit. This drives the edge-wrapping actuator to precisely adjust the clamping force and sealing compensation amount of the corresponding section. For dynamic vibration conditions, it switches to a high-frequency, high-precision fine-tuning mode to adjust the clamping stiffness in real time to suppress vibration. For steady-state gap change conditions, it switches to a large-stroke steady-state compensation mode to restore sealing performance and clamping force, eliminating potential abnormal conditions.

[0037] In some embodiments, during the closed-loop feedback and graded early warning stage, the distributed sensing unit collects the operating condition data after compensation and adjustment in real time and feeds it back to the closed-loop control unit to verify the effect of anomaly elimination. If the anomaly is not eliminated, the PID control parameters are optimized and compensation control is repeated. If the anomaly cannot be eliminated or there is an emergency safety hazard, a graded early warning of the corresponding level is triggered, and the early warning information is pushed to the external operation and maintenance platform simultaneously.

[0038] In some embodiments, during the full lifecycle intelligent operation and maintenance management phase, the full lifecycle health management module of the closed-loop control unit continuously stores all-time operating condition data, drive action records, and abnormal event data, generates a full lifecycle health profile of the glass edging system, and synchronizes it to an external operation and maintenance platform through a low-power wireless communication unit to achieve multi-node clustered intelligent operation and maintenance and full lifecycle management.

[0039] In some embodiments, the glass edging system is applied to frameless curtain wall glass of super high-rise buildings, adaptable to curtain wall glass with a maximum single pane length of 6m. The distributed sensing unit adopts a distributed fiber Bragg grating sensor array with a measuring point spacing of 200mm. It simultaneously deploys equally spaced miniature laser displacement sensors and distributed water seepage sensing cables to achieve full-condition, full-coverage monitoring of the curtain wall glass edge. The closed-loop control unit uses an industrial-grade low-power MCU, with a built-in safety threshold model for super high-rise building curtain wall glass, and vibration suppression and stress release algorithms adapted for extreme typhoon conditions. The power management unit supports… The system features dual power supply from the mains and the BIPV photovoltaic modules in the curtain wall, with a backup lithium battery providing up to 72 hours of runtime. The active drive unit is equipped with a set of drive control sub-nodes every 200mm along the glass edge, corresponding one-to-one with the sensing points. It supports independent zone control and has a built-in dual-mode drive strategy. Under typhoon conditions, it automatically switches to a high-frequency fine-tuning mode to suppress vibration, and switches to a large-stroke compensation mode to adjust the gap and clamping force when the temperature changes between winter and summer. The low-power wireless communication unit adopts NB-IoT communication mode to connect to the smart building operation and maintenance platform, enabling clustered health management of the entire building's curtain wall glass.

[0040] In some embodiments, the glass edging system is applied to the curved sunroof of new energy vehicles. The distributed sensing unit adopts a polyvinylidene fluoride piezoelectric thin film sensor array, which is arranged along the four edges of the sunroof with a measuring point spacing of 150mm. It focuses on monitoring the temperature deformation, vibration and stress data of the sunroof. The closed-loop control unit communicates with the vehicle controller via the CAN bus to synchronously receive vehicle speed and ambient temperature data and adjust the edging clamping state in advance. The power management unit is powered by the vehicle's 12V power supply and has a built-in backup battery to support continuous monitoring after the vehicle is turned off. The active execution drive unit is arranged with a set of drive control sub-nodes every 150mm along the edging, corresponding one-to-one with the sensing points. It is adapted to the strong vibration conditions during vehicle operation and can adjust the clamping stiffness in real time to suppress the transmission of road vibration. The low-power wireless communication unit adopts CAN bus + Bluetooth 5.0 dual-mode communication, which can synchronize the health status of the sunroof to the vehicle's central control screen and the vehicle manufacturer's operation and maintenance platform to realize fault warning and after-sales operation and maintenance.

[0041] All standard parts used in this invention can be purchased from the market, and irregular parts can be customized according to the description and drawings. The specific connection methods of each part adopt conventional methods such as bolts, rivets, and welding that are mature in the prior art. The machinery, parts and equipment adopt conventional models in the prior art, and the circuit connection adopts conventional connection methods in the prior art, which will not be described in detail here. The contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0042] It should be understood that those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A glass edge finishing system characterized by, It includes a distributed sensing unit, a closed-loop control unit, an active execution drive unit, and a low-power wireless communication unit; The distributed sensing unit is used to collect real-time data on glass edge stress, clamping gap, wind pressure vibration, sealing interface contact pressure, and sealing water leakage, and transmit the collected real-time operating data to the closed-loop control unit. The closed-loop control unit is electrically connected to the distributed sensing unit and the active execution drive unit, respectively. It is used to receive real-time operating condition data uploaded by the distributed sensing unit, complete data parsing, operating condition identification and anomaly location, and generate corresponding drive control commands based on the operating condition judgment results, and send them to the active execution drive unit to realize real-time monitoring-active compensation full closed-loop control of glass edging. The active execution drive unit is used to receive drive control commands issued by the closed-loop control unit and drive the glass edging actuator to dynamically adjust the clamping force and sealing compensation amount, thereby eliminating potential abnormal operating conditions. The low-power wireless communication unit is electrically connected to the closed-loop control unit and is used to upload the system's real-time operating condition data, health status data, and fault early warning information to the external operation and maintenance platform. At the same time, it receives remote control commands issued by the external operation and maintenance platform and transmits them to the closed-loop control unit.

2. The glass edging system according to claim 1, characterized in that, The distributed sensing unit includes a stress vibration monitoring submodule, a gap deformation monitoring submodule, and a sealing leakage monitoring submodule; The stress vibration monitoring submodule uses a distributed fiber optic sensor array or a piezoelectric thin film sensor array to continuously collect stress distribution data at the glass edge, frequency and amplitude data of wind pressure vibration, and contact pressure data at the sealing interface. The gap deformation monitoring submodule uses a multi-node distributed displacement sensor array to collect gap data and glass plane deformation data at the interface between the glass and the edge clamping. The sealing and seepage monitoring submodule uses a distributed impedance sensor array to collect seepage data at the sealing interface.

3. The glass edging system according to claim 2, characterized in that, The closed-loop control unit includes a signal conditioning submodule, a data processing and operating condition judgment submodule, a drive control submodule, and a power management submodule. The signal conditioning submodule is used to amplify, filter, and perform analog-to-digital conversion on the analog signals collected by the distributed sensing unit, and output standardized digital operating condition data. The data processing and working condition judgment submodule has a built-in glass edge safety threshold model and a lightweight AI anomaly early warning algorithm, which is used to perform real-time analysis of standardized digital working condition data, compare the safety threshold to complete the normal / abnormal working condition judgment, and locate the abnormal location and abnormal type. The drive control submodule is used to generate an appropriate PID closed-loop drive control command based on the working condition judgment result and send it to the active execution drive unit. The power management submodule is used to provide power management for the entire system, supports power supply from multiple external power sources and emergency power supply from backup power sources, and can realize continuous monitoring and early warning functions of the system in the event of a power outage.

4. A glass edging system according to claim 3, characterized in that, The active execution drive unit adopts a multi-node partitioned independent control architecture, including several groups of drive control sub-nodes that correspond one-to-one with the monitoring nodes of the distributed sensing unit.

5. A glass edging system according to claim 4, characterized in that, The active execution drive unit has a built-in dual-mode adaptive drive strategy, including a high-frequency, high-precision fine-tuning mode and a large-stroke steady-state compensation mode. The high-frequency, high-precision fine-tuning mode is used to cope with dynamic working conditions such as vibration and instantaneous stress fluctuations, and to realize real-time dynamic adjustment of clamping stiffness. The large-stroke steady-state compensation mode is used to cope with steady-state conditions such as gap changes caused by thermal expansion and contraction and pressure decay caused by seal aging, so as to achieve continuous and stable control of the seal compensation amount.

6. A glass edging system according to claim 5, characterized in that, The low-power wireless communication unit adopts a dual-mode communication architecture of wide-area low-power communication and short-range high real-time communication, and has a built-in AES data encryption module.

7. A glass edging system according to claim 6, characterized in that, The closed-loop control unit incorporates a hierarchical early warning mechanism and a full life-cycle health management module. The tiered early warning mechanism can generate corresponding local early warning instructions and remote early warning information according to the anomaly level, and push them to the external operation and maintenance platform simultaneously. The full lifecycle health management module can store system operating condition data, drive action records, and abnormal event data at all times, and generate a full lifecycle health record for the glass edging system.

8. A glass edging system according to claim 7, characterized in that, Includes the following steps: S1. Real-time data on glass edge stress, clamping gap, wind pressure vibration, sealing contact pressure, and sealing water leakage are collected by the distributed sensing unit and transmitted to the closed-loop control unit. S2, the closed-loop control unit preprocesses and standardizes the collected real-time operating data, and completes data analysis through the built-in safety threshold model and AI early warning algorithm. It compares the data with the preset safety threshold to determine whether the current operating condition is normal. If the operating condition is normal, it maintains the current edge clamping and sealing state and continues to collect data. If the operating condition is abnormal, it accurately locates the abnormal location and abnormal type and proceeds to the next step. S3. The closed-loop control unit generates corresponding drive control commands based on the abnormal location, type and degree of abnormality, and sends them to the drive control sub-nodes of the corresponding section of the active execution drive unit. The drive edge-wrapping actuator precisely adjusts the clamping force and sealing compensation amount of the corresponding section to eliminate potential abnormal working conditions. S4. The distributed sensing unit collects the operating condition data after compensation and adjustment in real time and feeds it back to the closed-loop control unit to verify the effect of anomaly elimination. If the anomaly is not eliminated, the optimized control parameters are repeatedly executed to perform compensation control; if the anomaly cannot be eliminated or there is an urgent safety hazard, a graded early warning is triggered, and the early warning information is pushed to the external operation and maintenance platform simultaneously. The S5 closed-loop control unit continuously stores real-time operating condition data, drive action records, and abnormal event data, generating a full lifecycle health record for the glass edging system. This record is then synchronized to an external operation and maintenance platform via a low-power wireless communication unit, enabling multi-node clustered intelligent operation and maintenance and full lifecycle management.

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