Intelligent electric floor window opening control system

Abstract

The application provides a kind of intelligent electric floor window opening control system, belongs to electric floor window control technical field. Including multi-source state perception module, for real-time monitoring the target floor window itself operating state, and real-time transmission to floor window control system according to preset communication protocol;Multi-source state parameter preprocessing module is used to construct state trend feature dataset;Risk prediction analysis module is used to construct external load influence coefficient, environmental risk evolution coefficient and window operation risk coefficient and window integrated operation safety factor;Hierarchical drive control module is used to control the opening process of floor window in segments according to pre-adjustment control instruction, and output different drive parameters in different operating stages respectively;State monitoring module is used to correct window integrated operation safety factor according to window structure dynamic response factor.The application can improve the real-time performance of operating state determination.

Description

Technical Field

[0001] This invention relates to the field of electric floor-to-ceiling window control technology, and more specifically, to an intelligent electric floor-to-ceiling window opening and closing control system. Background Technology

[0002] With the continuous development of high-end residential building forms, large-scale flat residences have gradually become an important form of urban high-end residences due to their large spatial scale, good lighting conditions and high living comfort. In such residences, large-size electric floor-to-ceiling windows are widely used in living rooms, balconies and landscape interfaces to enhance the transparency and natural ventilation of indoor and outdoor spaces. Since floor-to-ceiling windows usually have characteristics such as large window size, high weight and long opening stroke, their opening and closing process places higher demands on operational safety, stability and control precision.

[0003] In practical use, electric floor-to-ceiling windows are located at the boundary between indoor and outdoor spaces, making them susceptible to direct impacts from external environmental factors such as wind speed, wind pressure, rainfall, and humidity. Especially in high-rise buildings or open facades, sudden strong winds, gusty air currents, and rainfall can easily cause significant wind load impacts and structural disturbances on the windows. Furthermore, during the opening and closing process, the windows are also affected by their own weight, guide rail friction, and changes in motor drive load. Improper control can easily lead to operational jamming and structural vibration. Moreover, existing electric floor-to-ceiling window control systems often employ control methods based on single or limited environmental parameters, such as triggering the opening or closing of the window through wind speed or rain sensors, or completing the entire driving process according to a preset fixed speed curve. These control methods typically lack a comprehensive perception of multiple environmental factors and the window's operational status, making it difficult to reflect the coupling relationship between the external environment, the window structure, and the driving state. Additionally, existing systems lack real-time monitoring and feedback mechanisms for key states such as structural strain and guide rail vibration during window operation, failing to identify and dynamically assess potential risks in advance, resulting in limited adaptability to complex environmental conditions. Summary of the Invention

[0004] To overcome the above deficiencies, the present invention provides an intelligent electric floor-to-ceiling window opening control system that overcomes or at least partially solves the above technical problems.

[0005] This invention is implemented as follows: This invention provides an intelligent electric floor-to-ceiling window opening control system, comprising: The multi-source state perception module is used to monitor the indoor and outdoor environmental data of the target floor-to-ceiling window in the large-scale residential building in real time, as well as the operating status of the target floor-to-ceiling window itself. This includes instantaneous wind speed, windward surface pressure, humidity near the window frame, window vibration amplitude, motor torque, actual displacement stroke, and window operating resistance. The data is then transmitted to the floor-to-ceiling window control system in real time according to the preset communication protocol. The multi-source state parameter preprocessing module is used to process the collected instantaneous wind speed, windward surface pressure, near-window frame humidity, window vibration amplitude, motor torque, actual displacement stroke, and window running resistance over time, and to construct a state trend feature dataset. The risk prediction and analysis module is used to comprehensively analyze the state trend characteristic dataset and construct the external load influence coefficient. Environmental risk evolution coefficient and form operation risk coefficient Based on the influence coefficient of external load Environmental risk evolution coefficient and form operation risk coefficient Construct a comprehensive operational safety factor for the form It determines the risk of strong winds and rain within a preset time period and generates pre-adjustment control instructions for the open state of the floor-to-ceiling windows; The graded drive control module is used to control the opening process of the floor-to-ceiling window in segments according to the pre-adjustment control command. The drive process is divided into multiple operating stages, including the start-up buffer stage, the stable operation stage, and the end-point deceleration stage, and different drive parameters are output in different operating stages. The condition monitoring module is used to collect the strain response values ​​of the form frame and the vibration acceleration amplitude of the guide rail, and to construct the dynamic response factor of the form structure. The overall operational safety factor of the form is determined based on the dynamic response factor of the form structure. The revised form will have a higher overall operational safety factor. The target floor window's operating status is determined by comparing it with a preset safety threshold R.

[0006] In a preferred embodiment, the multi-source state sensing module includes an instantaneous wind speed value acquisition unit, a windward surface pressure value acquisition unit, a near-window frame humidity value acquisition unit, a window vibration amplitude acquisition unit, a motor torque acquisition unit, an actual displacement stroke value acquisition unit, and a window running resistance acquisition unit. The instantaneous wind speed acquisition unit is used to deploy a miniature wind speed sensor in the windward direction outside the target floor-to-ceiling window. The wind speed sensor detects the airflow speed at a fixed height position of the target floor-to-ceiling window in real time, and samples the change in airflow speed per unit time at a preset sampling period to obtain the instantaneous wind speed value at the corresponding time point. The windward surface pressure value acquisition unit is used to deploy surface pressure sensors in the windward area outside the target floor-to-ceiling window. The surface pressure sensors detect the normal pressure acting on the windward side of the window in real time and acquire the surface pressure value reflecting the changes in the external wind field at a preset sampling frequency. The surface pressure value is output as the windward surface pressure value. The near-window frame humidity acquisition unit is used to install humidity sensors on the inner side of the window frame of the target floor window and in the sealing area between the window frame and the window sash. The humidity sensors detect the humidity in the air near the window frame in real time, obtain the humidity value reflecting the infiltration of rainwater, and output the humidity value as the near-window frame humidity value at a preset sampling period. The window vibration amplitude acquisition unit is used to install vibration sensors on the window sash or window frame structure of the target floor window. The vibration sensors are used to collect the structural vibration intensity generated by the window during the opening process in real time, obtain the vibration displacement amplitude that characterizes the window under the action of external wind load and motor drive, and output the vibration amplitude as the window vibration amplitude at a preset sampling frequency. The motor torque acquisition unit is used to monitor the operating status of the motor that drives the opening and closing of the target floor window. By using a torque sensor installed on the motor output shaft, the actual output torque generated by the motor during the opening of the window is acquired in real time, and the torque value reflecting the change of the window's operating load is obtained. The torque value is then used as the motor torque output. The actual displacement stroke value acquisition unit is used to detect the actual movement stroke of the target floor window during the opening process. By setting displacement sensors or encoders on the window driving mechanism or guide rail, the actual displacement of the window along the preset movement direction is collected in real time to obtain the stroke value reflecting the actual opening degree of the window, and the stroke value is output as the actual displacement stroke value. The window operation resistance acquisition unit is used to monitor the operation resistance encountered by the target floor window during the opening process. By setting a resistance sensing component in the window transmission path, the reverse resistance generated by the window under the motor drive is collected in real time, and the resistance value reflecting the friction and jamming between the window and the guide structure is obtained. The resistance value is then output as the window operation resistance.

[0007] In a preferred embodiment, the multi-source state parameter preprocessing module includes an instantaneous wind speed value processing unit, a windward surface pressure value processing unit, a near-window frame humidity value processing unit, a window vibration amplitude value processing unit, a motor torque processing unit, an actual displacement stroke value processing unit, and a window running resistance processing unit. The instantaneous wind speed value processing unit is used to process the collected instantaneous wind speed values ​​in a time series manner, arrange the instantaneous wind speed values ​​obtained at different sampling times in chronological order to form wind speed time series data; and segment the wind speed time series data based on a preset time window to construct instantaneous wind speed trend feature data related to time changes. The windward surface pressure value processing unit is used to process the collected windward surface pressure values ​​in a time series manner, arrange the surface pressure values ​​obtained at different sampling times in chronological order to construct windward surface pressure time series data; and segment the surface pressure time series data based on a preset time window to form pressure change feature sequence data reflecting the pressure change process of the target floor window on the windward side. The near-window frame humidity value processing unit is used to process the collected near-window frame humidity values ​​in a time series manner, arrange the humidity values ​​obtained at different sampling times in chronological order, construct near-window frame humidity time series data; and segment the humidity time series data based on a preset time window to form humidity change feature sequence data reflecting the humidity change process of the sealed area of ​​the target floor window frame. The window vibration amplitude processing unit is used to process the collected window vibration amplitudes in a time series manner, arrange the vibration amplitudes obtained at different sampling times in chronological order, and construct window vibration time series data; and to segment the vibration time series data based on a preset time window to form vibration change feature sequence data that reflects the dynamic response changes of the target floor window during opening or closing. The motor torque processing unit is used to process the collected motor torque in a time series manner, arrange the motor torque values ​​obtained at different sampling times in chronological order to construct motor torque time series data; and segment the motor torque time series data based on a preset time window to form torque change feature sequence data that reflects the characteristics of motor output load change during the opening of the target floor window. The actual displacement travel value processing unit is used to process the collected actual displacement travel values ​​in a time series manner, arrange the displacement travel values ​​obtained at different sampling times in chronological order, construct actual displacement travel time series data; and segment the displacement travel time series data based on a preset time window to form displacement change feature sequence data that reflects the actual movement trajectory change characteristics of the target landing window during the opening process. The window operation resistance processing unit is used to process the collected window operation resistance in a time series manner, arrange the resistance values ​​obtained at different sampling times in chronological order, and construct window operation resistance time series data; and segment the resistance time series data based on a preset time window to form resistance change feature sequence data that reflects the change characteristics of the target floor window during the opening process. Based on the instantaneous wind speed, windward surface pressure, near-window frame humidity, window vibration amplitude, motor torque, actual displacement stroke, and window running resistance after time series processing, state trend characteristic data are constructed.

[0008] In a preferred embodiment, the risk prediction and analysis module includes an environmental load analysis unit, an environmental evolution analysis unit, and a window operation analysis unit; The environmental load analysis unit is used to analyze the surface pressure value of the windward side. and instantaneous wind speed value After normalization, the processed windward surface pressure value and instantaneous wind speed value Combined, the wind-driven power is obtained through calculation. ; ; Then the humidity level of the near window frame and window vibration amplitude Combined, after normalization, the energy of wet vibration coupling disturbance is obtained through calculation. ; ; Finally, the wind power generation Coupled with damp vibration energy By combining these factors, the influence coefficient of external loads can be obtained through summation calculation. ; .

[0009] In a preferred embodiment, the environmental evolution analysis unit is used to analyze instantaneous wind speed values. Surface pressure value of the windward side The instantaneous wind speed values ​​were normalized and then processed. Surface pressure value of the windward side The wind risk evolution term was obtained through calculation. ; In the formula This represents the instantaneous wind speed value collected at the previous sampling time. Then based on the humidity value near the window frame and window vibration amplitude Combined, after normalization, the wet vibration risk evolution term is obtained through calculation. ; In the formula This represents the near-window humidity value collected at the previous sampling time. Finally, the wind risk evolution item will be... and the evolution of wet vibration risk Combined, the environmental risk evolution coefficient is obtained through calculation. ; .

[0010] In a preferred embodiment, the form operation analysis unit is used to process the actual displacement travel value. After normalization, the equivalent angular velocity of the target floor-to-ceiling window was calculated. ; In the formula This represents the actual displacement travel value collected at the previous sampling time. It is represented as the time interval between two adjacent samples; Then based on the motor torque After normalization, the window-driven input power term is obtained through calculation. ; ; Next, based on the window running resistance And through normalization, the power consumption term of the window blockage is obtained by calculation. ; ; Finally, the form will drive the input power item. Power consumption item with form blocking By combining these methods, the operational risk coefficient of the form can be obtained through calculation. ; .

[0011] In a preferred embodiment, the risk prediction and analysis module further includes a form operation security analysis unit and an operation security assessment unit; The window operation safety analysis unit is used to analyze the external load influence coefficient. Environmental risk evolution coefficient and form operation risk coefficient Combined, and the overall operational safety factor of the form is obtained through calculation. ; ; The operational safety assessment unit is used to preset the overall operational safety threshold W of the form and to set the overall operational safety coefficient of the form. Compare with the overall safety threshold W for form operation, including: when When the value is >W, it indicates that the target floor-to-ceiling window is in a normal and safe operating state, and the opening operation of the floor-to-ceiling window is performed according to the rated drive parameters; when When W ≤ W, it indicates that the target floor window is in an abnormal operating range, and a pre-adjustment control command is generated.

[0012] In a preferred embodiment, the hierarchical drive control module includes a strategy optimization unit; The strategy optimization unit is used to execute an optimization strategy according to a pre-adjustment control command, including: During the start-up buffer phase, the motor starts the target floor window at 30%-50% of the rated torque and 20%-40% of the rated speed, so that the target floor window can overcome the initial static friction and enter a stable operating state. During the stable operation phase, the motor's output speed is increased to 70%-90% of the rated speed, and the output torque is controlled at 60%-85% of the rated torque to complete the main opening stroke of the target floor-to-ceiling window; During the final deceleration phase, when the remaining travel of the target floor window is less than 10%-20% of the target travel, the motor speed is reduced to 15%-30% of the rated speed, and the motor output torque is reduced to 20%-40% of the rated torque, so as to achieve smooth deceleration and precise positioning of the window.

[0013] In a preferred embodiment, the state monitoring module includes a window frame strain response value acquisition unit and a guide rail vibration acceleration amplitude acquisition unit; The window frame strain response value acquisition unit is used to pre-install at least one set of strain sensors on the window frame of the target floor-to-ceiling window. The strain sensors are reliably attached to the surface of the window frame and are used to sense the minute deformation of the window frame under the combined influence of external wind load, window weight and driving force during the opening or closing of the floor-to-ceiling window. The strain sensors convert the sensed deformation into corresponding electrical or optical signals and output the continuously changing window frame strain response value data through the signal acquisition interface. The guide rail vibration acceleration amplitude acquisition unit is used to install at least one set of acceleration sensors on the guide rail structure of the target floor window. The acceleration sensors are fixedly connected to the guide rail body and are used to collect the vibration acceleration signals generated by the guide rail under the action of the driving device and the external wind load disturbance during the opening or closing of the floor window. The acceleration sensors are used to convert the guide rail vibration response into corresponding electrical signal output and form continuous guide rail vibration acceleration amplitude data in the form of acceleration amplitude.

[0014] In a preferred embodiment, the status monitoring module further includes a window structure dynamic analysis unit, a correction unit, and a security assessment unit; The dynamic analysis unit for the window structure is used to analyze the strain response values ​​of the window frame. and the amplitude of guide rail vibration acceleration After normalization, and by combining the strain response values ​​of the window frame with the vibration acceleration amplitude of the guide rail, the dynamic response factor of the window structure is calculated. ; In the formula This represents the reference strain value corresponding to the form frame under rated structural conditions. This is expressed as the reference vibration acceleration amplitude of the guide rail under normal operating conditions; The correction unit is used to adjust the dynamic response factor of the window structure. Safety factor of integrated operation of form Combined, and the corrected overall operational safety factor of the form is obtained through calculation. ; .

[0015] The security assessment unit is used to preset the security threshold R and to integrate the corrected window's overall operational security factor. Compare with the safety threshold R, including: when When >R, it indicates that the target floor-to-ceiling window is in the safe operating range and the window opening operation is performed according to the preset normal driving parameters; when When ≤R, it indicates that the target floor window is in an abnormal operating state. The operating speed of the floor window needs to be reduced by 30%-60% from the current setting, the duration of the start-up buffer phase needs to be extended by 20%-50%, the deceleration slope of the end-point deceleration phase needs to be reduced by 25%-40%, and the maximum allowable opening stroke needs to be limited to 50%-80% of the rated opening stroke.

[0016] The present invention provides an intelligent electric floor-to-ceiling window opening and closing control system, the beneficial effects of which include: 1. Through a multi-source state sensing module, parameters of external environmental influences such as instantaneous wind speed, windward surface pressure, and humidity near the window frame, as well as parameters of the window's own operating status such as window vibration amplitude, motor torque, actual displacement travel, and window operating resistance, are collected synchronously. This avoids relying solely on a single environmental or operating parameter for judgment, thus providing a more comprehensive reflection of the external influences and operating conditions experienced by the target floor-to-ceiling window in a large-scale residential setting. This improves the completeness and reliability of risk identification. The risk prediction and analysis module constructs external load influence coefficients, environmental risk evolution coefficients, and window operating risk coefficients, and on this basis, forms a comprehensive window operating safety coefficient. This enables a comprehensive quantitative assessment of external environmental influences, risk evolution processes, and the window's own operating risks, avoiding misjudgments caused by single thresholds or experience-based judgments, and improving the objectivity and stability of safety assessment results.

[0017] 2. By generating pre-adjustment control commands for the open state of the floor-to-ceiling windows in advance when a rainfall risk is detected within a preset time period, the hierarchical drive control module adjusts the drive parameters before the risk fully materializes. This effectively reduces the impact of sudden environmental changes on the floor-to-ceiling window structure and drive system, improving the overall safety margin of the system. The opening process of the floor-to-ceiling windows is divided into a start-up buffer stage, a stable operation stage, and a final deceleration stage, with different drive parameters output at different stages. This avoids problems such as excessive impact load and inertial runaway during the start-up and stop of large-sized floor-to-ceiling windows, significantly improving the stability of window operation and the service life of the drive system. Furthermore, the overall operational safety factor of the window is corrected in real time, ensuring that the safety assessment results reflect the structural response changes of the window during actual operation, thereby improving the real-time performance and accuracy of operational status determination. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1, referring to Figure 1 This invention provides a technical solution: an intelligent electric floor-to-ceiling window opening and closing control system, comprising: The multi-source state perception module is used to monitor the indoor and outdoor environmental data of the target floor-to-ceiling window in the large-scale residential building in real time, as well as the operating status of the target floor-to-ceiling window itself. This includes instantaneous wind speed, windward surface pressure, humidity near the window frame, window vibration amplitude, motor torque, actual displacement stroke, and window operating resistance. The data is then transmitted to the floor-to-ceiling window control system in real time according to the preset communication protocol. The multi-source state parameter preprocessing module is used to process the collected instantaneous wind speed, windward surface pressure, near-window frame humidity, window vibration amplitude, motor torque, actual displacement stroke, and window running resistance over time, and to construct a state trend feature dataset. The risk prediction and analysis module is used to comprehensively analyze the state trend characteristic dataset and construct the external load influence coefficient. Environmental risk evolution coefficient and form operation risk coefficient Based on the influence coefficient of external load Environmental risk evolution coefficient and form operation risk coefficient Construct a comprehensive operational safety factor for the form It determines the risk of strong winds and rain within a preset time period and generates pre-adjustment control instructions for the open state of the floor-to-ceiling windows; The graded drive control module is used to control the opening process of the floor-to-ceiling window in segments according to the pre-adjustment control command. The drive process is divided into multiple operating stages, including the start-up buffer stage, the stable operation stage, and the end-point deceleration stage, and different drive parameters are output in different operating stages. The condition monitoring module is used to collect the strain response values ​​of the form frame and the vibration acceleration amplitude of the guide rail, and to construct the dynamic response factor of the form structure. The overall operational safety factor of the form is determined based on the dynamic response factor of the form structure. The revised form will have a higher overall operational safety factor. The target floor window's operating status is determined by comparing it with a preset safety threshold R.

[0022] In this embodiment, a multi-source state sensing module synchronously collects external environmental parameters such as instantaneous wind speed, windward surface pressure, and near-window frame humidity, as well as window operating status parameters such as window vibration amplitude, motor torque, actual displacement travel, and window running resistance. This avoids relying solely on a single environmental or operating parameter for judgment, thus providing a more comprehensive reflection of the external forces and operating conditions experienced by the target floor-to-ceiling window in a large-floor-plan residential setting, improving the completeness and reliability of risk identification. A multi-source state parameter preprocessing module then performs time-series processing on the collected multi-source state parameters to construct a state trend... The potential characteristic dataset enables the control system to analyze parameter change trends rather than relying solely on instantaneous threshold judgments. This allows for early identification of adverse environmental conditions such as strong winds and rainfall, avoiding the passive control problem of "responding only after the event occurs" in traditional systems. Through the risk prediction and analysis module, external load influence coefficients, environmental risk evolution coefficients, and window operation risk coefficients are constructed respectively. Based on these, a comprehensive window operation safety coefficient is formed, realizing a comprehensive quantitative assessment of the effects of the external environment, the risk evolution process, and the window's own operational risks. This avoids misjudgments caused by single thresholds or experience-based judgments, improving the objectivity and stability of safety assessment results.

[0023] When a risk of rainfall is detected within a preset time period, pre-adjustment control commands for the open state of the floor-to-ceiling windows are generated in advance. This allows the tiered drive control module to adjust the drive parameters before the risk fully materializes, effectively reducing the impact of sudden environmental changes on the floor-to-ceiling window structure and drive system, and improving the overall safety margin of the system. The opening process of the floor-to-ceiling windows is divided into a start-up buffer stage, a stable operation stage, and a final deceleration stage, with different drive parameters output at different stages. This avoids problems such as excessive impact load and inertial runaway during the start-up and stop of large-sized floor-to-ceiling windows, significantly improving the stability of window operation and the service life of the drive system. It is especially suitable for the use of large-sized, heavy-duty floor-to-ceiling windows in large-scale residential buildings. The status monitoring module collects the strain response values ​​of the window frame and the vibration acceleration amplitude of the guide rail to construct the dynamic response factor of the window structure and corrects the comprehensive operational safety factor of the window in real time. This allows the safety assessment results to reflect the structural response changes of the window during actual operation, thereby improving the real-time performance and accuracy of the operational status determination.

[0024] Example 2 is an explanation of Example 1; please refer to it. Figure 1Specifically, the multi-source state sensing module includes an instantaneous wind speed value acquisition unit, a windward surface pressure value acquisition unit, a near-window frame humidity value acquisition unit, a window vibration amplitude acquisition unit, a motor torque acquisition unit, an actual displacement stroke value acquisition unit, and a window running resistance acquisition unit. The instantaneous wind speed acquisition unit is used to deploy a miniature wind speed sensor in the windward direction outside the target floor-to-ceiling window. The wind speed sensor detects the airflow speed at a fixed height position of the target floor-to-ceiling window in real time, and samples the change in airflow speed per unit time at a preset sampling period to obtain the instantaneous wind speed value at the corresponding time point. The windward surface pressure value acquisition unit is used to deploy surface pressure sensors in the windward area outside the target floor-to-ceiling window. The surface pressure sensors detect the normal pressure acting on the windward side of the window in real time and acquire the surface pressure value reflecting the changes in the external wind field at a preset sampling frequency. The surface pressure value is output as the windward surface pressure value. The near-window frame humidity acquisition unit is used to install humidity sensors on the inner side of the window frame of the target floor window and in the sealing area between the window frame and the window sash. The humidity sensors detect the humidity in the air near the window frame in real time, obtain the humidity value reflecting the infiltration of rainwater, and output the humidity value as the near-window frame humidity value at a preset sampling period. The window vibration amplitude acquisition unit is used to install vibration sensors on the window sash or window frame structure of the target floor window. The vibration sensors are used to collect the structural vibration intensity generated by the window during the opening process in real time, obtain the vibration displacement amplitude that characterizes the window under the action of external wind load and motor drive, and output the vibration amplitude as the window vibration amplitude at a preset sampling frequency. The motor torque acquisition unit is used to monitor the operating status of the motor that drives the opening and closing of the target floor window. By using a torque sensor installed on the motor output shaft, the actual output torque generated by the motor during the opening of the window is acquired in real time, and the torque value reflecting the change of the window's operating load is obtained. The torque value is then used as the motor torque output. The actual displacement stroke value acquisition unit is used to detect the actual movement stroke of the target floor window during the opening process. By setting displacement sensors or encoders on the window driving mechanism or guide rail, the actual displacement of the window along the preset movement direction is collected in real time to obtain the stroke value reflecting the actual opening degree of the window, and the stroke value is output as the actual displacement stroke value. The window operation resistance acquisition unit is used to monitor the operation resistance encountered by the target floor window during the opening process. By setting a resistance sensing component in the window transmission path, the reverse resistance generated by the window under the motor drive is collected in real time, and the resistance value reflecting the friction and jamming between the window and the guide structure is obtained. The resistance value is then output as the window operation resistance.

[0025] In this embodiment, by simultaneously collecting instantaneous wind speed, surface pressure, and near-frame humidity values ​​on the windward side of the target floor-to-ceiling window, a refined perception of external wind loads and the risk of rainwater intrusion is achieved. By real-time collection of window vibration amplitude, motor torque, actual displacement travel, and window operating resistance, comprehensive monitoring of the structural response and operational load changes of the floor-to-ceiling window during opening is achieved. Based on the collaborative perception of multi-source physical quantities, a reliable data foundation is provided for external load impact analysis, operational risk prediction, and graded drive control. This enables the system to identify unfavorable operating conditions in advance and perform pre-adjustment control, thereby improving the safety, stability, and intelligence level of large-size floor-to-ceiling windows in large-floor-to-ceiling residential buildings.

[0026] Example 3 is an explanation of Example 1; please refer to the provided text. Figure 1 Specifically, the multi-source state parameter preprocessing module includes an instantaneous wind speed value processing unit, a windward surface pressure value processing unit, a near-window frame humidity value processing unit, a window vibration amplitude value processing unit, a motor torque processing unit, an actual displacement stroke value processing unit, and a window running resistance processing unit. The instantaneous wind speed value processing unit is used to process the collected instantaneous wind speed values ​​in a time series manner, arrange the instantaneous wind speed values ​​obtained at different sampling times in chronological order to form wind speed time series data; and segment the wind speed time series data based on a preset time window to construct instantaneous wind speed trend feature data related to time changes. The windward surface pressure value processing unit is used to process the collected windward surface pressure values ​​in a time series manner, arrange the surface pressure values ​​obtained at different sampling times in chronological order to construct windward surface pressure time series data; and segment the surface pressure time series data based on a preset time window to form pressure change feature sequence data reflecting the pressure change process of the target floor window on the windward side. The near-window frame humidity value processing unit is used to process the collected near-window frame humidity values ​​in a time series manner, arrange the humidity values ​​obtained at different sampling times in chronological order, construct near-window frame humidity time series data; and segment the humidity time series data based on a preset time window to form humidity change feature sequence data reflecting the humidity change process of the sealed area of ​​the target floor window frame. The window vibration amplitude processing unit is used to process the collected window vibration amplitudes in a time series manner, arrange the vibration amplitudes obtained at different sampling times in chronological order, and construct window vibration time series data; and to segment the vibration time series data based on a preset time window to form vibration change feature sequence data that reflects the dynamic response changes of the target floor window during opening or closing. The motor torque processing unit is used to process the collected motor torque in a time series manner, arrange the motor torque values ​​obtained at different sampling times in chronological order to construct motor torque time series data; and segment the motor torque time series data based on a preset time window to form torque change feature sequence data that reflects the characteristics of motor output load change during the opening of the target floor window. The actual displacement travel value processing unit is used to process the collected actual displacement travel values ​​in a time series manner, arrange the displacement travel values ​​obtained at different sampling times in chronological order, construct actual displacement travel time series data; and segment the displacement travel time series data based on a preset time window to form displacement change feature sequence data that reflects the actual movement trajectory change characteristics of the target landing window during the opening process. The window operation resistance processing unit is used to process the collected window operation resistance in a time series manner, arrange the resistance values ​​obtained at different sampling times in chronological order, and construct window operation resistance time series data; and segment the resistance time series data based on a preset time window to form resistance change feature sequence data that reflects the change characteristics of the target floor window during the opening process. Based on the instantaneous wind speed, windward surface pressure, near-window frame humidity, window vibration amplitude, motor torque, actual displacement stroke, and window running resistance after time series processing, state trend characteristic data are constructed.

[0027] In this embodiment, by processing the instantaneous wind speed, windward surface pressure, near-window frame humidity, window vibration amplitude, motor torque, actual displacement travel, and window operating resistance over time, and constructing corresponding trend feature sequence data based on a preset time window, the system can transform from judging the state at a single moment to analyzing the trend of state changes. By constructing a unified state trend feature dataset, a continuous and comparable data foundation is provided for subsequent analysis of external load influences, judgment of operational risk evolution, and comprehensive safety assessment of window operation. This improves the accuracy of risk prediction and the stability of floor-to-ceiling window operation control, and is particularly suitable for the safe operation control of large-size floor-to-ceiling windows in complex environments in large-scale residential buildings.

[0028] Example 4 is an explanation of Example 1; please refer to the provided text. Figure 1 Specifically, the risk prediction and analysis module includes an environmental load analysis unit, an environmental evolution analysis unit, and a window operation analysis unit; The environmental load analysis unit is used to analyze the surface pressure value of the windward side. and instantaneous wind speed value After normalization, the processed windward surface pressure value and instantaneous wind speed value Combined, the wind-driven power is obtained through calculation. ; ; Then the humidity level of the near window frame and window vibration amplitude Combined, after normalization, the energy of wet vibration coupling disturbance is obtained through calculation. ; ; Finally, the wind power generation Coupled with damp vibration energy By combining these factors, the influence coefficient of external loads can be obtained through summation calculation. ; .

[0029] In this embodiment, the wind-driven power is constructed by coupling the surface pressure value of the windward side with the instantaneous wind speed value. Furthermore, a wet vibration coupling analysis is performed on the humidity value of the near-window frame and the vibration amplitude of the window to form the wet vibration coupling disturbance energy. Based on this, the external load influence coefficient is comprehensively obtained, achieving a unified quantitative characterization of multiple external factors such as wind, rain, and structural vibration. Compared to methods that rely solely on a single environmental parameter, this invention can more realistically reflect the comprehensive impact of external loads on the operational safety of floor-to-ceiling windows under complex environmental conditions. This provides a more forward-looking and reliable basis for subsequent operational risk prediction and window opening control strategies, thereby effectively reducing the risk of abnormal window operation caused by sudden wind and rain or coupling effects.

[0030] Example 5 is an explanation of Example 1; please refer to it. Figure 1 Specifically, the environmental evolution analysis unit is used to analyze instantaneous wind speed values. Surface pressure value of the windward side The instantaneous wind speed values ​​were normalized and then processed. Surface pressure value of the windward side The wind risk evolution term was obtained through calculation. ; In the formula This represents the instantaneous wind speed value collected at the previous sampling time. Then based on the humidity value near the window frame and window vibration amplitude Combined, after normalization, the wet vibration risk evolution term is obtained through calculation. ; In the formula This represents the near-window humidity value collected at the previous sampling time. Finally, the wind risk evolution item will be... and the evolution of wet vibration risk Combined, the environmental risk evolution coefficient is obtained through calculation. ; .

[0031] In this embodiment, by introducing a differential calculation method between adjacent sampling times, wind-driven risk evolution terms and damp vibration risk evolution terms are constructed respectively, and an environmental risk evolution coefficient is formed on this basis, realizing a dynamic characterization of the changing trend of external environmental risks. Compared with the method of making static judgments based solely on instantaneous environmental parameters, this invention can identify abrupt changes or continuous aggravation processes of environmental factors such as wind speed, surface pressure, humidity, and vibration in advance, improving the ability to perceive the direction and intensity of environmental risk evolution. This provides a more forward-looking judgment basis for risk prediction and proactive intervention in the operation status of floor-to-ceiling windows, effectively reducing the adverse effects of sudden environmental changes on the safety of window operation.

[0032] Example 6 is an explanation of Example 1; please refer to the provided text. Figure 1 Specifically, the window operation analysis unit is used to process the actual displacement travel value. After normalization, the equivalent angular velocity of the target floor-to-ceiling window was calculated. ; In the formula This represents the actual displacement travel value collected at the previous sampling time. During the opening or closing of the target floor window, the actual displacement travel value acquisition unit collects data according to a preset sampling period. Continuous operation involves periodically collecting real-time displacement data of the window along the opening direction using displacement sensors or encoders mounted on the window drive mechanism or guide rail; at the current sampling moment... The obtained displacement stroke value is denoted as Meanwhile, the system automatically retains the data from the previous sampling period in the data buffer. The displacement travel value collected at each moment is denoted as , It is represented as the time interval between two adjacent samples; Then based on the motor torque After normalization, the window-driven input power term is obtained through calculation. ; ; Next, based on the window running resistance And through normalization, the power consumption term of the window blockage is obtained by calculation. ; ; Finally, the form will drive the input power item. Power consumption item with form blocking By combining these methods, the operational risk coefficient of the form can be obtained through calculation. ; .

[0033] In this embodiment, by calculating the temporal changes of the actual displacement stroke, the equivalent operating angular velocity reflecting the true operating state of the window is obtained. Furthermore, based on motor torque and operating resistance, a drive input power term and a resistance consumption power term are constructed respectively, enabling a quantitative analysis of the relationship between energy input and energy loss during window operation. By introducing a window operation risk coefficient, the degree of erosion of effective drive power by operating resistance is characterized, accurately reflecting the operating risk level of the window under conditions of jamming, increased friction, or abnormal load. This avoids the misjudgment problems caused by relying solely on motor current or torque thresholds, improving the accuracy and sensitivity of window operation anomaly identification, and providing a reliable basis for the safe and stable operation of floor-to-ceiling windows.

[0034] Example 7 is an explanation of Example 1; please refer to it. Figure 1 Specifically, the risk prediction and analysis module also includes a form operation security analysis unit and an operation security assessment unit; The window operation safety analysis unit is used to analyze the external load influence coefficient. Environmental risk evolution coefficient and form operation risk coefficient Combined, and the overall operational safety factor of the form is obtained through calculation. ; ; The operational safety assessment unit is used to preset the comprehensive operational safety threshold W of the form; Under conditions of no strong winds, no rainfall, and stable window structure and driving state, the corresponding comprehensive operational safety factor of the window is collected and calculated. Furthermore, statistical analysis was conducted on its stable fluctuation range, and the minimum safety margin under rated safe operating conditions was selected. The numerical value serves as the overall operational safety threshold W for the form; Integrate the safety factor of the form operation Compare with the overall safety threshold W for form operation, including: when When the value is >W, it indicates that the target floor-to-ceiling window is in a normal and safe operating state, and the opening operation of the floor-to-ceiling window is performed according to the rated drive parameters; when When W ≤ W, it indicates that the target floor window is in an abnormal operating range, and a pre-adjustment control command is generated.

[0035] In this embodiment, a unified comprehensive safety factor for window operation is constructed by coupling the external load influence coefficient, the environmental risk evolution coefficient, and the window operation risk coefficient. This enables a multi-dimensional comprehensive assessment of external environmental disturbances, risk change trends, and the window's own operating status. By setting a comprehensive safety threshold for window operation and comparing the safety factor with the threshold, the operating status of the floor-to-ceiling window can be classified and determined in real time. Under safe conditions, the window operates according to the rated drive parameters. When entering an abnormal operating range, a pre-adjustment control command is generated in a timely manner. This avoids blindly opening the window under conditions of strong winds, rain, or operational obstruction, effectively reducing the risks of structural vibration, transmission impact, and sealing failure, and improving the safety, stability, and intelligence level of the floor-to-ceiling window operation.

[0036] Example 8 is an explanation of Example 1; please refer to it. Figure 1 Specifically, the hierarchical drive control module includes a strategy optimization unit; The strategy optimization unit is used to execute an optimization strategy according to a pre-adjustment control command, including: During the start-up buffer phase, the motor starts the target floor window at 30%-50% of the rated torque and 20%-40% of the rated speed, so that the target floor window can overcome the initial static friction and enter a stable operating state. During the stable operation phase, the motor's output speed is increased to 70%-90% of the rated speed, and the output torque is controlled at 60%-85% of the rated torque to complete the main opening stroke of the target floor-to-ceiling window; During the final deceleration phase, when the remaining travel of the target floor window is less than 10%-20% of the target travel, the motor speed is reduced to 15%-30% of the rated speed, and the motor output torque is reduced to 20%-40% of the rated torque, so as to achieve smooth deceleration and precise positioning of the window.

[0037] In this embodiment, by introducing a strategy optimization unit into the hierarchical drive control module, the present invention divides the opening process of the target floor-to-ceiling window into three operating stages: start-up buffer, stable operation, and final deceleration. Differentiated motor speed and torque control strategies are employed in each stage to achieve precise adjustment of the window's movement. In the start-up buffer stage, a lower proportion of torque and speed is output to effectively reduce start-up impact and mechanical wear. In the stable operation stage, the speed is increased while torque is reasonably limited to ensure the window's operating efficiency and stability during the main opening stroke. In the final deceleration stage, the speed and torque are actively reduced proportionally to the remaining stroke to achieve smooth deceleration and precise positioning of the window. This significantly reduces vibration and impact during the window's opening and closing process, avoids structural stress concentration and transmission jamming caused by excessive inertia, and improves the safety, smoothness, and service life of the floor-to-ceiling window's opening process.

[0038] Example 9, this example is an explanation of Example 1, please refer to it. Figure 1 Specifically, the state monitoring module includes a window frame strain response value acquisition unit and a guide rail vibration acceleration amplitude acquisition unit; The window frame strain response value acquisition unit is used to pre-install at least one set of strain sensors on the window frame of the target floor-to-ceiling window. The strain sensors are reliably attached to the surface of the window frame and are used to sense the minute deformation of the window frame under the combined influence of external wind load, window weight and driving force during the opening or closing of the floor-to-ceiling window. The strain sensors convert the sensed deformation into corresponding electrical or optical signals and output the continuously changing window frame strain response value data through the signal acquisition interface. The guide rail vibration acceleration amplitude acquisition unit is used to install at least one set of acceleration sensors on the guide rail structure of the target floor window. The acceleration sensors are fixedly connected to the guide rail body and are used to collect the vibration acceleration signals generated by the guide rail under the action of the driving device and the external wind load disturbance during the opening or closing of the floor window. The acceleration sensors are used to convert the guide rail vibration response into corresponding electrical signal output and form continuous guide rail vibration acceleration amplitude data in the form of acceleration amplitude.

[0039] In this embodiment, by setting up a window frame strain response value acquisition unit and a guide rail vibration acceleration amplitude acquisition unit in the state monitoring module, the present invention can synchronously and in real time monitor the dynamic response of the key load-bearing structure and guide motion structure of the window during the opening or closing of the floor-to-ceiling window. On the one hand, by acquiring the strain response changes of the window frame under the combined influence of wind load, self-weight, and driving force, the overall stress state and structural safety margin of the window can be reflected in a timely manner, avoiding structural hazards caused by local stress concentration or long-term fatigue. On the other hand, by acquiring the vibration acceleration amplitude of the guide rail, the vibration level and stability of the guide rail during operation can be effectively characterized, and abnormal vibration caused by installation deviation, wear, or external disturbances can be identified in advance. The combination of the two enables the system to more comprehensively and accurately grasp the structural dynamic characteristics of the floor-to-ceiling window during operation, providing a reliable basis for subsequent safety assessment and control strategy adjustment, thereby improving the safety, stability, and long-term reliability of the floor-to-ceiling window operation.

[0040] Example 10: This example is an explanation of Example 1. Please refer to the provided text. Figure 1 Specifically, the status monitoring module also includes a window structure dynamic analysis unit, a correction unit, and a security assessment unit; The dynamic analysis unit for the window structure is used to analyze the strain response values ​​of the window frame. and the amplitude of guide rail vibration acceleration After normalization, and by combining the strain response values ​​of the window frame with the vibration acceleration amplitude of the guide rail, the dynamic response factor of the window structure is calculated. ; In the formula This represents the reference strain value corresponding to the window frame under rated structural conditions. It is the stable strain response benchmark value obtained by a strain sensor installed on the window frame when the target floor-to-ceiling window is in a standard environmental condition with no strong winds and no rainfall, and is running according to the rated drive parameters. It represents the reference vibration acceleration amplitude of the guide rail under normal operating conditions, and the stable reference value of the guide rail vibration acceleration collected by the acceleration sensor installed on the guide rail structure under the same rated operating conditions. The correction unit is used to adjust the dynamic response factor of the window structure. Safety factor of integrated operation of form Combined, and the corrected overall operational safety factor of the form is obtained through calculation. ; .

[0041] The security assessment unit is used to preset the security threshold R; Under normal operating conditions with no strong winds, no rainfall, and stable structural vibration, the corrected comprehensive operational safety factor of the window was collected and calculated. This establishes a normal and safe operating sample range; under critical conditions such as strong winds, increased rainfall, or significant increase in window structure vibration, corresponding data are simultaneously collected and calculated. This forms a risk transition sample interval. By comparing and analyzing the distribution characteristics of the two types of samples, a critical threshold that can distinguish between safe and abnormal operating states is selected. The numerical value serves as the safety threshold R; The revised form will have a comprehensive operational safety factor. Compare with the safety threshold R, including: when When >R, it indicates that the target floor-to-ceiling window is in the safe operating range and the window opening operation is performed according to the preset normal driving parameters; when When ≤R, it indicates that the target floor window is in an abnormal operating state. The operating speed of the floor window needs to be reduced by 30%-60% from the current setting, the duration of the start-up buffer phase needs to be extended by 20%-50%, the deceleration slope of the end-point deceleration phase needs to be reduced by 25%-40%, and the maximum allowable opening stroke needs to be limited to 50%-80% of the rated opening stroke.

[0042] In this embodiment, by normalizing and fusing the strain response values ​​of the window frame and the vibration acceleration amplitude of the guide rail, a dynamic response factor for the window structure is obtained. This allows for a direct representation of the comprehensive dynamic response level of the key structure of the floor-to-ceiling window under actual operating conditions without adding extra complex modeling. This makes the assessment of structural safety status more closely reflect real-world operating conditions. The dynamic response factor is used to correct the overall operational safety factor of the window in real time, ensuring that the safety factor reflects not only external environmental and operational load risks but also the dynamic stress and vibration state of the window structure itself. This significantly improves the accuracy and sensitivity of the safety assessment results. By comparing the corrected overall operational safety factor with a preset safety threshold, the system can automatically trigger a multi-parameter, proportional flexible degradation control strategy when an abnormal operating state is detected. This includes reducing the operating speed, extending the start-up buffer phase, slowing down the final deceleration process, and limiting the maximum opening stroke, effectively suppressing structural vibration and impact loads, and preventing further deterioration under abnormal conditions. Therefore, this not only improves the operational safety and stability of the floor-to-ceiling window under complex environmental conditions but also extends the service life of the window structure and drive components, enhancing the overall reliability and intelligence level of the system.

[0043] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0044] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. An intelligent electric floor-to-ceiling window opening control system, characterized in that, include: The multi-source state perception module is used to monitor the indoor and outdoor environmental data of the target floor-to-ceiling window in the large-scale residential building in real time, as well as the operating status of the target floor-to-ceiling window itself. This includes instantaneous wind speed, windward surface pressure, humidity near the window frame, window vibration amplitude, motor torque, actual displacement stroke, and window operating resistance. The data is then transmitted to the floor-to-ceiling window control system in real time according to the preset communication protocol. The multi-source state parameter preprocessing module is used to process the collected instantaneous wind speed, windward surface pressure, near-window frame humidity, window vibration amplitude, motor torque, actual displacement stroke, and window running resistance over time, and to construct a state trend feature dataset. The risk prediction and analysis module is used to comprehensively analyze the state trend characteristic dataset and construct the external load influence coefficient. Environmental risk evolution coefficient and form operation risk coefficient Based on the influence coefficient of external load Environmental risk evolution coefficient and form operation risk coefficient Construct a comprehensive operational safety factor for the form It determines the risk of strong winds and rain within a preset time period and generates pre-adjustment control instructions for the open state of the floor-to-ceiling windows; The graded drive control module is used to control the opening process of the floor-to-ceiling window in segments according to the pre-adjustment control command. The drive process is divided into multiple operating stages, including the start-up buffer stage, the stable operation stage, and the end-point deceleration stage, and different drive parameters are output in different operating stages. The condition monitoring module is used to collect the strain response values ​​of the form frame and the vibration acceleration amplitude of the guide rail, and to construct the dynamic response factor of the form structure. The overall operational safety factor of the form is corrected based on the dynamic response factor of the form structure. The target floor window's operating status is determined by comparing it with a preset safety threshold R.

2. The intelligent electric floor-to-ceiling window opening control system according to claim 1, characterized in that, The multi-source state sensing module includes an instantaneous wind speed value acquisition unit, a windward surface pressure value acquisition unit, a near-window frame humidity value acquisition unit, a window vibration amplitude acquisition unit, a motor torque acquisition unit, an actual displacement stroke value acquisition unit, and a window running resistance acquisition unit; The instantaneous wind speed acquisition unit is used to deploy a miniature wind speed sensor in the windward direction outside the target floor-to-ceiling window. The wind speed sensor detects the airflow speed at a fixed height position of the target floor-to-ceiling window in real time, and samples the change in airflow speed per unit time at a preset sampling period to obtain the instantaneous wind speed value at the corresponding time point. The windward surface pressure value acquisition unit is used to deploy surface pressure sensors in the windward area outside the target floor-to-ceiling window. The surface pressure sensors detect the normal pressure acting on the windward side of the window in real time and acquire the surface pressure value reflecting the changes in the external wind field at a preset sampling frequency. The surface pressure value is output as the windward surface pressure value. The near-window frame humidity acquisition unit is used to install humidity sensors on the inner side of the window frame of the target floor window and in the sealing area between the window frame and the window sash. The humidity sensors detect the humidity in the air near the window frame in real time, obtain the humidity value reflecting the infiltration of rainwater, and output the humidity value as the near-window frame humidity value at a preset sampling period. The window vibration amplitude acquisition unit is used to install vibration sensors on the window sash or window frame structure of the target floor window. The vibration sensors are used to collect the structural vibration intensity generated by the window during the opening process in real time, obtain the vibration displacement amplitude that characterizes the window under the action of external wind load and motor drive, and output the vibration amplitude as the window vibration amplitude at a preset sampling frequency. The motor torque acquisition unit is used to monitor the operating status of the motor that drives the opening and closing of the target floor window. By using a torque sensor installed on the motor output shaft, the actual output torque generated by the motor during the opening of the window is acquired in real time, and the torque value reflecting the change of the window's operating load is obtained. The torque value is then used as the motor torque output. The actual displacement stroke value acquisition unit is used to detect the actual movement stroke of the target floor window during the opening process. By setting displacement sensors or encoders on the window driving mechanism or guide rail, the actual displacement of the window along the preset movement direction is collected in real time to obtain the stroke value reflecting the actual opening degree of the window, and the stroke value is output as the actual displacement stroke value. The window operation resistance acquisition unit is used to monitor the operation resistance encountered by the target floor window during the opening process. By setting a resistance sensing component in the window transmission path, the reverse resistance generated by the window under the motor drive is collected in real time, and the resistance value reflecting the friction and jamming between the window and the guide structure is obtained. The resistance value is then output as the window operation resistance.

3. The intelligent electric floor-to-ceiling window opening control system according to claim 2, characterized in that, The multi-source state parameter preprocessing module includes an instantaneous wind speed value processing unit, a windward surface pressure value processing unit, a near-window frame humidity value processing unit, a window vibration amplitude value processing unit, a motor torque processing unit, an actual displacement stroke value processing unit, and a window running resistance processing unit. The instantaneous wind speed value processing unit is used to process the collected instantaneous wind speed values ​​in a time series manner, arranging the instantaneous wind speed values ​​obtained at different sampling times in chronological order to form wind speed time series data; The wind speed time series data is segmented based on a preset time window to construct instantaneous wind speed trend feature data related to time changes; The windward surface pressure value processing unit is used to process the collected windward surface pressure values ​​in a time series manner, arranging the surface pressure values ​​obtained at different sampling times in chronological order to construct windward surface pressure time series data. The surface pressure time series data is segmented based on a preset time window to form pressure change characteristic sequence data that reflects the force change process on the windward side of the target floor window; The near-window frame humidity value processing unit is used to process the collected near-window frame humidity values ​​in a time series manner, arranging the humidity values ​​obtained at different sampling times in chronological order to construct near-window frame humidity time series data. The humidity time series data is segmented based on a preset time window to form a humidity change feature sequence data that reflects the humidity change process of the sealed area of ​​the target floor window frame. The window vibration amplitude processing unit is used to process the collected window vibration amplitudes in a time series manner, arranging the vibration amplitudes obtained at different sampling times in chronological order to construct window vibration time series data. The vibration time series data is segmented based on a preset time window to form vibration change feature sequence data that reflects the dynamic response of the target floor window during opening or closing. The motor torque processing unit is used to process the collected motor torque in a time series manner, arrange the motor torque values ​​obtained at different sampling times in chronological order to construct motor torque time series data; and segment the motor torque time series data based on a preset time window to form torque change feature sequence data that reflects the characteristics of motor output load change during the opening of the target floor window. The actual displacement travel value processing unit is used to process the collected actual displacement travel values ​​in a time series manner, and to arrange the displacement travel values ​​obtained at different sampling times in chronological order to construct actual displacement travel time series data. The displacement travel time series data is segmented based on a preset time window to form displacement change feature sequence data that reflects the actual movement trajectory changes of the target landing window during the opening process. The window running resistance processing unit is used to process the collected window running resistance in a time series manner, arranging the resistance values ​​obtained at different sampling times in chronological order to construct time series data of window running resistance. The resistance time series data is segmented based on a preset time window to form a resistance change feature series data that reflects the resistance change characteristics during the opening of the target landing window. Based on the instantaneous wind speed, windward surface pressure, near-window frame humidity, window vibration amplitude, motor torque, actual displacement stroke, and window running resistance after time series processing, state trend characteristic data are constructed.

4. The intelligent electric floor-to-ceiling window opening control system according to claim 3, characterized in that, The risk prediction and analysis module includes an environmental load analysis unit, an environmental evolution analysis unit, and a form operation analysis unit; The environmental load analysis unit is used to analyze the surface pressure value of the windward side. and instantaneous wind speed value After normalization, the processed windward surface pressure value and instantaneous wind speed value Combined, the wind-driven power is obtained through calculation. ; Then the humidity level of the near window frame and window vibration amplitude Combined, after normalization, the energy of wet vibration coupling disturbance is obtained through calculation. ; Finally, the wind power generation Coupled with damp vibration energy By combining these factors, the influence coefficient of external loads can be obtained through summation calculation. ; 。 5. The intelligent electric floor-to-ceiling window opening control system according to claim 4, characterized in that, The environmental evolution analysis unit is used to analyze instantaneous wind speed values. Surface pressure value of the windward side The instantaneous wind speed values ​​were normalized and then processed. Surface pressure value of the windward side The wind risk evolution term was obtained through calculation. ; Then based on the humidity value near the window frame and window vibration amplitude Combined, after normalization, the wet vibration risk evolution term is obtained through calculation. ; Finally, the wind risk evolution item will be... and the evolution of wet vibration risk Combined, the environmental risk evolution coefficient is obtained through calculation. ; 。 6. The intelligent electric floor-to-ceiling window opening control system according to claim 5, characterized in that, The window operation analysis unit is used to analyze the actual displacement travel value. After normalization, the equivalent angular velocity of the target floor-to-ceiling window was calculated. ; Then based on the motor torque After normalization, the window-driven input power term is obtained through calculation. ; Next, based on the window running resistance And through normalization, the power consumption term of the window blockage is obtained by calculation. ; Finally, the form will drive the input power item. Power consumption item with form blocking By combining these methods, the operational risk coefficient of the form can be obtained through calculation. ; 。 7. The intelligent electric floor-to-ceiling window opening control system according to claim 6, characterized in that, The risk prediction and analysis module also includes a form operation security analysis unit and an operation security assessment unit; The window operation safety analysis unit is used to analyze the external load influence coefficient. Environmental risk evolution coefficient and form operation risk coefficient Combined, and the overall operational safety factor of the form is obtained through calculation. ; ； The operational safety assessment unit is used to preset the overall operational safety threshold W of the form and to set the overall operational safety coefficient of the form. Compare with the overall safety threshold W for form operation, including: when When the value is >W, it indicates that the target floor-to-ceiling window is in a normal and safe operating state, and the opening operation of the floor-to-ceiling window is performed according to the rated drive parameters; when When W ≤ W, it indicates that the target floor window is in an abnormal operating range, and a pre-adjustment control command is generated.

8. The intelligent electric floor-to-ceiling window opening control system according to claim 7, characterized in that, The hierarchical drive control module includes a strategy optimization unit; The strategy optimization unit is used to execute an optimization strategy according to a pre-adjustment control command, including: During the initial buffer phase, the motor starts the target floor-to-ceiling window at 30%-50% of its rated torque and 20%-40% of its rated speed. During the stable operation phase, the motor's output speed is increased to 70%-90% of the rated speed, and the output torque is controlled at 60%-85% of the rated torque. During the final deceleration phase, when the remaining travel of the target floor window is less than 10%-20% of the target travel, the motor speed is reduced to 15%-30% of the rated speed, and the motor output torque is reduced to 20%-40% of the rated torque.

9. The intelligent electric floor-to-ceiling window opening control system according to claim 8, characterized in that, The status monitoring module includes a window frame strain response value acquisition unit and a guide rail vibration acceleration amplitude acquisition unit; The window frame strain response value acquisition unit is used to pre-install at least one set of strain sensors on the window frame of the target floor-to-ceiling window. The strain sensors are reliably attached to the surface of the window frame and are used to sense the minute deformation of the window frame under the combined influence of external wind load, window weight and driving force during the opening or closing of the floor-to-ceiling window. The strain sensors convert the sensed deformation into corresponding electrical or optical signals and output the continuously changing window frame strain response value data through the signal acquisition interface. The guide rail vibration acceleration amplitude acquisition unit is used to install at least one set of acceleration sensors on the guide rail structure of the target floor window. The acceleration sensors are fixedly connected to the guide rail body and are used to collect the vibration acceleration signals generated by the guide rail under the action of the driving device and the external wind load disturbance during the opening or closing of the floor window. The acceleration sensors are used to convert the guide rail vibration response into corresponding electrical signal output and form continuous guide rail vibration acceleration amplitude data in the form of acceleration amplitude.

10. The intelligent electric floor-to-ceiling window opening control system according to claim 9, characterized in that, The status monitoring module also includes a window structure dynamic analysis unit, a correction unit, and a security assessment unit; The dynamic analysis unit for the window structure is used to analyze the strain response values ​​of the window frame. and the amplitude of guide rail vibration acceleration After normalization, and by combining the strain response values ​​of the window frame with the vibration acceleration amplitude of the guide rail, the dynamic response factor of the window structure is calculated. ; In the formula This represents the reference strain value corresponding to the form frame under rated structural conditions. This is expressed as the reference vibration acceleration amplitude of the guide rail under normal operating conditions; The correction unit is used to adjust the dynamic response factor of the window structure. Safety factor of integrated operation of form The corrected overall operational safety factor of the form is obtained by combining these factors and calculating them. ; ； The security assessment unit is used to preset the security threshold R and to integrate the corrected window's overall operational security factor. Compare with the safety threshold R, including: when When >R, it indicates that the target floor-to-ceiling window is in the safe operating range and the window opening operation is performed according to the preset normal driving parameters; when When ≤R, it indicates that the target floor window is in an abnormal operating state. The operating speed of the floor window needs to be reduced by 30%-60% from the current setting, the duration of the start-up buffer phase needs to be extended by 20%-50%, the deceleration slope of the end-point deceleration phase needs to be reduced by 25%-40%, and the maximum allowable opening stroke needs to be limited to 50%-80% of the rated opening stroke.

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