An intelligent door optimization control system based on data analysis

Abstract

The application relates to the technical field of intelligent door control, in particular to an intelligent door optimization control method based on data analysis. The method comprises the following steps: acquiring a bathroom door operation information set, based on which, dynamic operation characteristics of a door body under the influence of frequent start-stop, bathing water vapor and bathing milk chemical residues in a high-temperature and high-humidity environment are analyzed, and an environment-mechanical information set is obtained; based on this, performance attenuation and state evolution behavior of a door body synchronous belt and a motor under the action of continuous load and heat aging are analyzed, and a door body component operation attenuation information set is obtained; based on this, according to real-time environment data and cumulative operation records, main environmental and mechanical disturbance factors causing performance degradation are located, and a fault risk tracing report is obtained; according to the fault risk tracing report, the motor drive and the transmission mechanism are adaptively adjusted in real time to dynamically compensate for the performance degradation of the intelligent door, and an intelligent door optimization control log is output. The operation reliability, stability and service life of the bathroom intelligent door are improved.

Description

Technical Field

[0001] This application relates to the field of intelligent door control technology, and in particular to an intelligent door optimization control system based on data analysis. Background Technology

[0002] Currently, shower doors in public bathhouses and other similar venues are mostly controlled by timers, simple limit switches, or fixed-speed motors. Their drive logic is simple and rigid, and they usually operate at a constant power and speed. They cannot sense the actual usage frequency, environmental conditions, and changes in mechanical wear. Essentially, they are open-loop controls. In harsh environments with long-term high temperature, high humidity, and the presence of chemical residues such as shower gel, they lack proactive monitoring and compensation mechanisms for corrosion of transmission components, lubrication failure, and degradation of electrical insulation performance. Their maintenance often relies on reactive repairs after a fault occurs.

[0003] However, the existing operating logic is static and passive, and cannot adapt to the highly dynamic usage load, the special environment of high humidity and corrosion, and the constantly changing equipment status in public bathhouse scenarios. Specifically, it lacks the ability to dynamically optimize drive parameters based on usage frequency, real-time mechanical wear, and environmental degradation; it lacks fault prediction and energy consumption optimization mechanisms based on multi-dimensional operating data, resulting in the equipment being in an unbalanced state of "either insufficient response or excessive energy consumption" for a long time. Overall, it has significant limitations in terms of intelligence, adaptability, and economy. Summary of the Invention

[0004] This application provides a data analysis-based intelligent door optimization control system to solve the above-mentioned problems. The system includes: acquiring a bathroom door operation information set; based on the bathroom door operation information set, analyzing the dynamic operation characteristics of the door body under the influence of frequent start-stop and shower water vapor and chemical residues of shower gel in a high temperature and high humidity environment to obtain an environmental-mechanical information set; based on the environmental-mechanical information set, analyzing the performance degradation and state evolution behavior of the door body synchronous belt and motor under continuous load and humid heat aging to obtain a door body component operation degradation information set; based on the door body component operation degradation information set, locating the main environmental and mechanical disturbance factors causing performance degradation according to real-time environmental data and cumulative operation records to obtain a fault risk tracing report; and based on the fault risk tracing report, adaptively adjusting the motor drive and transmission mechanism in real time to dynamically compensate for the intelligent door performance degradation and outputting an intelligent door optimization control log.

[0005] The above technical solutions enable a deep analysis of the complex mechanisms underlying the performance degradation of smart doors in harsh bathroom environments. This allows for penetrating diagnosis, from environmental coupling characteristics perception to core component health status assessment, and precise identification of the main causes of performance degradation. Ultimately, adaptive control strategies are used to dynamically compensate for the degradation, thereby significantly improving the reliability, stability, and lifespan of smart doors under harsh conditions such as high temperature, high humidity, and chemical corrosion. This achieves a shift from passive fault repair to proactive predictive maintenance, enhancing product intelligence and user experience.

[0006] Optionally, based on the bathroom door operation information set, the dynamic operating characteristics of the door under the influence of frequent start-stop cycles and the chemical residues of bathing water vapor and shower gel in a high-temperature and high-humidity environment are analyzed to obtain an environmental-mechanical information set, including: the bathroom door operation information set includes the door opening and closing frequency, motor operating torque, and transmission mechanism tension; based on the door opening and closing frequency, the temporal distribution pattern of the door's usage intensity over time is analyzed to obtain time-specific load information; based on the motor operating torque, combined with the time-specific load information, the differences in load periods of the door in the temporal distribution pattern are analyzed to identify the electrical performance degradation trend caused by moisture and chemical residues from bathing, and torque degradation information is obtained; based on the transmission mechanism tension, combined with the torque degradation information, the attenuation rate characteristics of the door in the electrical performance degradation trend are analyzed to identify transmission relaxation information caused by material aging and wear, and tension relaxation information is obtained; by combining the time-specific load information, the torque degradation information, and the tension relaxation information, the environmental-mechanical information set that couples the door's usage period, bathroom environment corrosion, and mechanical state is constructed.

[0007] Optionally, the process of constructing the torque degradation information includes: based on the motor operating torque and combined with the time-specific load information, analyzing the growth slope of the minimum motor operating torque required to drive the door to complete its standard stroke within the same load period, and obtaining the torque demand baseline offset; based on the torque demand baseline offset, analyzing the cumulative growth pattern of the torque demand baseline offset in multiple consecutive identical load periods, identifying the door torque performance degradation information caused by moisture in the motor's internal resistance and corrosion from residual bathing chemicals; based on the door torque performance degradation information, analyzing the additional drive compensation amount required to maintain the door at its rated operating speed in the next load period, based on the additional drive torque required to maintain the door at its rated operating speed, and obtaining the torque degradation information.

[0008] Optionally, the process of constructing the door torque performance degradation information includes: based on the torque demand baseline offset, analyzing the step-like upward trend that accumulates successively over multiple consecutive identical load periods; based on the step-like upward trend, analyzing whether the torque demand baseline offset recovers to the level before the rise after the bathroom ventilation and drying cycle; if it cannot recover, determining that it is caused by the corrosion of the motor interior due to chemical residues from items used in the bathroom, and obtaining the cumulative chemical corrosion component of the torque; based on the cumulative chemical corrosion component, when it is determined to increase, obtaining the door torque performance degradation information.

[0009] Optionally, the process of constructing the tension relaxation information includes: analyzing the numerical fluctuation range during a single opening and closing action of the door based on the tension of the transmission mechanism; analyzing the tension decline trajectory of the average level of the numerical fluctuation range over multiple consecutive operating cycles to counteract the increased operating resistance caused by the degradation of motor torque performance, based on the torque degradation information and the numerical fluctuation range; analyzing the difference in the average level of the numerical fluctuation range failing to recover to the initial value of the cycle during the drying and ventilation phase after the bathroom ends, based on the tension decline trajectory; and identifying the plastic deformation and surface wear of the smart door material caused by continuous contact with bath water vapor and chemical residues, and quantifying the plastic deformation and surface wear that characterize the permanent degradation of material performance as the tension relaxation information.

[0010] Optionally, the process of constructing the coupling relationship between door usage time, bathroom environmental corrosion, and mechanical state includes: based on the time-specific load information, analyzing the mapping law between different door usage time periods and the corresponding torque degradation rate and tension relaxation rate to obtain a time-state correlation map; based on the time-state correlation map, according to the real-time collected current bathroom environmental temperature, humidity, and cumulative door running time, analyzing the real-time offset of the torque degradation information and the tension relaxation information from the corresponding time period benchmark level under the superposition of current environmental corrosion intensity and historical mechanical wear; based on the real-time offset, dynamically updating the torque degradation benchmark value and tension relaxation benchmark value of the corresponding time period in the time-state correlation map to generate the environmental-mechanical information set that integrates the real-time environmental corrosion degree and historical running wear.

[0011] Optionally, the analysis of the mapping relationship between different gate usage periods and corresponding torque degradation rates and tension relaxation rates includes: based on the time-specific load information, analyzing the opening and closing operation time points of the gate in multiple consecutive usage cycles, and identifying concentrated usage periods with densely distributed opening and closing operations and sparsely distributed idle periods on the time axis through clustering; based on the concentrated usage periods and the idle periods, tracking the numerical changes of the torque degradation information and tension relaxation information recorded in each period; based on the numerical changes, analyzing the short-term abrupt change rate of torque and tension accelerated by frequent starts and stops and continuous load during the concentrated usage periods, and analyzing the long-term gradual change rate of torque and tension slowed by continuous environmental humidity and heat during the idle periods; based on the short-term abrupt change rate and the long-term gradual change rate, constructing a bidirectional association rule corresponding to the intensive active period of gate operation and the rapid performance decay period, and corresponding to the quiescent period of gate operation and the slow performance degradation period, as the mapping relationship used to predict the performance evolution trend.

[0012] Optionally, the dynamic updating of the torque degradation benchmark value and tension relaxation benchmark value for the corresponding time period in the time period-state correlation graph includes: based on the real-time offset, analyzing the trend of torque degradation and tension relaxation aggravation represented by the real-time offset during the current bathroom usage period to obtain the instantaneous performance state correction amount for the current time period; based on the instantaneous performance state correction amount, calculating the real-time update values ​​of the torque degradation benchmark value and the tension relaxation benchmark value along a preset benchmark value adjustment path in the time period-state correlation graph; the torque degradation benchmark value and the tension relaxation benchmark value are positively correlated; writing the real-time update values ​​into the time period-state correlation graph, overwriting the original benchmark value record for the corresponding time period, and completing the dynamic updating of the time period-state correlation graph.

[0013] Optionally, the process of constructing the door component operation attenuation information set includes: based on the torque degradation information, analyzing the additional current consumption of the motor to maintain rated output, and obtaining the motor performance degradation inflection point information; based on the tension relaxation information, analyzing the coupling and superposition effect between the tension attenuation trajectory passively adjusted by the synchronous belt to match the attenuated motor output and the self-elastic attenuation trajectory caused by material moisture absorption and expansion and chemical residual corrosion, and obtaining transmission coupling failure information; integrating the motor performance degradation inflection point information and the transmission coupling failure information to construct the door component operation attenuation information set for predicting the failure risk of smart door components and guiding targeted compensation.

[0014] Optionally, the process of constructing the transmission coupling failure information includes: based on the tension relaxation information, analyzing the regular decrease in the synchronous belt tension value during a continuous door opening and closing cycle, which is synchronized with the motor output attenuation trend and faster than the attenuation trend, in order to compensate for the insufficient drive represented by the motor torque performance degradation information, to obtain a following attenuation trajectory; based on the tension relaxation information, analyzing the spontaneous influence of the synchronous belt tension value in a static state without door operation due to the moisture expansion of the material structure and the corrosion of bath chemical residues during the continuous operation period of the high temperature and high humidity environment in the bathroom, to obtain a corrosive attenuation trajectory; based on the following attenuation trajectory, combined with the corrosive attenuation trajectory, analyzing the superposition effect between the instantaneous decrease of the following attenuation trajectory and the cumulative decrease base of the corrosive attenuation trajectory in the actual running period of the door, identifying the accelerated attenuation information caused by the mechanical compensation demand and the environmental corrosion base, to obtain the transmission coupling failure information. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of an application scenario provided in an embodiment of this application;

[0017] Figure 2 A flowchart of a data analysis-based intelligent door optimization control system provided in one embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0019] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0020] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0021] Currently, shower doors in public bathrooms and other similar places mostly use timed or fixed speed control, which is simple in driving mode and usually operates at constant power. It cannot be adjusted according to actual usage frequency, environmental conditions and mechanical wear. It belongs to open-loop system. In harsh environments with long-term high temperature, high humidity and chemical residues, it lacks active monitoring and compensation for transmission corrosion, lubrication failure and insulation aging. Maintenance depends on passive handling after failure.

[0022] Based on this, this application provides a data analysis-based intelligent door optimization control system. By analyzing the profound impact of the harsh bathroom environment on the intelligent door system, a diagnostic link from environmental perception to component health assessment is constructed to accurately identify the main causes of performance degradation. With the help of adaptive control to compensate for the function decay in real time, the system can significantly improve its reliability and durability under complex working conditions such as high temperature, high humidity, and corrosion, promote the transformation of maintenance mode to intelligence and predictive, and optimize the product experience.

[0023] Figure 1 This application provides an illustration of an application scenario. In the use of a smart bathroom door, the method provided in this application is applied to locate the root cause of the smart door's performance degradation through environmental perception and health assessment, and to compensate in real time with adaptive control, thereby improving its reliability under complex working conditions and realizing the intelligent transformation from passive maintenance to predictive maintenance.

[0024] Specifically, the method provided in this application can be applied to any server. The server interacts with the operating condition sensor to obtain the bathroom door operation information set provided by the operating condition sensor, accurately captures the characteristics of time-specific load, torque degradation and tension relaxation, clarifies the coupling relationship between the environment and the machinery, outputs a fault risk tracing report to the user interaction platform, avoids potential faults in advance, and outputs smart door optimization control logs to smart door operation and maintenance personnel, continuously improving the user experience and the reliability of smart door operation.

[0025] For specific implementation details, please refer to the following examples.

[0026] Figure 2 This document presents a flowchart of a data analysis-based intelligent door optimization control system according to an embodiment of this application. The system in this embodiment can be applied to servers in the above scenarios. For example... Figure 2 As shown, the system includes:

[0027] S201. Obtain the bathroom door operation information set. Based on the bathroom door operation information set, analyze the dynamic operation characteristics of the door in a high temperature and high humidity environment due to frequent start-stop and stop and the influence of bath water vapor and chemical residues of shower gel, and obtain the environmental-mechanical information set.

[0028] The bathroom door operation information set can be a collection of data generated by the smart bathroom door during operation, reflecting its own state and the state of its environment, with the operating condition sensors on the door as the data source. High temperature and high humidity environment refers to the special environment of high temperature and high humidity formed during showering. Frequent opening and stopping refers to the multiple opening and closing operations of the bathroom door during use. Shower steam refers to the water vapor generated by hot water during showering, which permeates the bathroom environment. Shower gel chemical residue refers to the chemical substances remaining on the door surface or in the bathroom environment after using shower gel. Dynamic operating characteristics refer to the patterns and characteristics of the bathroom door's operating state changing over time under the influence of environmental and operational factors. The environmental-mechanical information set can be a collection of information on the comprehensive operating state of the door under the coupled effects of specific environmental stress and mechanical action.

[0029] Specifically, while existing smart doors function well in ordinary home environments, their reliability faces severe challenges in corrosive environments such as bathrooms, which are characterized by extreme high temperature and humidity, as well as the presence of bathwater, shampoo, shower gel, and other chemical residues. Frequent start-stop operations exacerbate mechanical wear, while high temperature and humidity accelerate the oxidation of metal components and the aging of plastic components. Chemical residues may corrode the tracks and reduce the friction coefficient of the synchronous belt. Existing controls often ignore the coupled effects of these complex environmental factors, relying solely on preset programs or simple fault alarms. They cannot predict performance degradation trends, leading to malfunctions such as sudden door jamming, abnormal noises, or even motor burnout.

[0030] S202. Based on the environmental-mechanical information set, analyze the performance degradation and state evolution behavior of the door synchronous belt and motor under continuous load and damp heat aging to obtain the door component operation degradation information set.

[0031] The door timing belt can be a transmission component that connects the door and the motor, transmitting power to achieve door opening and closing. The motor can be the core drive component that provides power for the operation of the bathroom door. Continuous load refers to the workload that the timing belt and motor bear over a long period of time during door operation. Damp heat aging refers to the phenomenon of material aging and performance degradation that occurs when the timing belt and motor are used for a long time in a high temperature and high humidity environment. Performance degradation refers to the process by which the working capacity of the door timing belt and motor gradually decreases under continuous load and damp heat aging. State evolution behavior refers to a series of changes in the working state of the door timing belt and motor as a result of usage time and environmental changes. The door component operation degradation information set can be a set of information reflecting the degree of performance degradation and state evolution law of the door timing belt and motor under continuous load and damp heat aging.

[0032] Specifically, after obtaining the environmental-mechanical coupling characteristics, it is necessary to further focus on the core actuators and assess their health status. Under the combined effects of continuous tension, humid and hot environments, and the potential penetration of chemical residues, the rubber material of the synchronous belt will harden and the teeth will wear, leading to a decrease in transmission accuracy or even slippage. In long-term high-humidity environments, the winding insulation performance of the motor will deteriorate, and the temperature rise will be accelerated by the inrush current caused by frequent start-stops, which will lead to demagnetization of the magnets and a reduction in efficiency. If this gradual performance degradation cannot be anticipated in advance, the control system will be unable to take compensatory measures before the components completely fail.

[0033] S203. Based on the information set of door component operation attenuation, and according to real-time environmental data and cumulative operation records, locate the main environmental and mechanical disturbance factors that cause performance degradation, and obtain a fault risk tracing report.

[0034] Real-time environmental data can include dynamic environmental parameters such as the current temperature and humidity of the bathroom. Cumulative operation records can include historical data such as the number of times the bathroom door has been opened and closed and the duration of operation since it was put into use. Performance degradation refers to the phenomenon that the overall performance of the smart door gradually decreases over time. Environmental and mechanical disturbance factors can be various environmental and mechanical factors that lead to the performance degradation of the smart door. A fault risk tracing report can be an analytical report that clearly identifies the main environmental and mechanical disturbance factors that cause the performance degradation of the smart door.

[0035] Specifically, knowing that components are degrading is not enough; it is essential to accurately trace the root cause of the degradation in order to guide effective maintenance and optimized control. Different degradation modes correspond to different dominant factors. For example, if motor efficiency decreases but the temperature rise is not abnormally high, it may be mainly due to insulation aging caused by humidity. If the operating noise increases and the synchronous belt slips, it may be mainly due to the decrease in the friction coefficient caused by chemical residues. Maintenance without tracing the root cause is blind and inefficient.

[0036] The process of determining the main cause of the degradation includes: aligning real-time environmental data (including at least temperature and humidity) with cumulative operating records (including at least the number of start-stop cycles and operating duration); extracting characterization quantities related to performance degradation (including at least the changes or offsets of torque degradation information and / or tension relaxation information); calculating the correlation strength and contribution of each candidate disturbance factor with the characterization quantity, and ranking the candidate disturbance factors; determining the disturbance factors whose contribution meets the preset judgment conditions as "main environmental and mechanical disturbance factors", and generating a fault risk tracing report accordingly.

[0037] Among them, if the characterization quantity can be recovered after ventilation and drying, the effect of damp heat is considered as the dominant candidate; if the characterization quantity cannot be recovered after ventilation and drying and shows cumulative growth, the effect of chemical residual corrosion is considered as the dominant candidate; if an accelerated decline occurs during actual operation that is synchronous with the compensation demand and faster than the changes in the environmental substrate, the superposition of mechanical compensation and environmental corrosion is considered as the dominant candidate.

[0038] S204. Based on the fault risk tracing report, the motor drive and transmission mechanism are adaptively adjusted in real time to dynamically compensate for the performance degradation of the smart door, and the smart door optimization control log is output.

[0039] Adaptive adjustment can be the process of automatically adjusting equipment operating parameters to adapt to environmental changes and compensate for performance degradation based on fault risk tracing reports. The motor drive refers to the components and control logic that control the operation of the smart door motor, providing power for the door's movement. The transmission mechanism is the mechanical structure that connects the motor and the door, transmitting power to drive the door's opening and closing. Dynamic compensation is the operation of adjusting the motor drive and transmission mechanism in real time to compensate for performance losses based on the door's performance degradation. The smart door optimization control log records the adaptive adjustment process and results of the motor drive and transmission mechanism.

[0040] Specifically, the ultimate goal of tracing the source is to intervene and compensate. Existing fixed-parameter control cannot adapt to the degradation of component performance. If the report indicates that the motor torque is reduced due to demagnetization, the current loop parameters in the motor vector control algorithm are adaptively adjusted to increase the current setpoint in order to compensate for the torque output. If the report indicates that the synchronous belt is at risk of slippage due to wear, the feedforward compensation in the position closed loop is dynamically corrected, or the motor start-stop curve is adjusted to adopt a gentler acceleration and deceleration strategy to reduce impact load. At the same time, the steady-state current is slightly increased to maintain sufficient transmission tension. This compensation is dynamic and adaptive, and is continuously fine-tuned as the degradation intensifies or the environment changes.

[0041] The method provided in this embodiment can deeply analyze the complex mechanism of smart door performance degradation in harsh bathroom environments, achieve penetrating diagnosis from environmental coupling characteristic perception to core component health status assessment, accurately locate the main cause of performance degradation, and finally dynamically compensate for the degradation through adaptive control strategies. This significantly improves the operational reliability, stability and service life of smart doors under harsh conditions such as high temperature, high humidity and chemical corrosion, realizing the transformation from passive fault repair to proactive predictive maintenance, and enhancing the intelligence of the product and user experience.

[0042] In some embodiments, the bathroom door operation information set includes the door opening and closing frequency, motor operating torque, and transmission mechanism tension. Based on the door opening and closing frequency, the temporal distribution pattern of the door's usage intensity over time is analyzed to obtain time-specific load information. Based on the motor operating torque and combined with the time-specific load information, the differences in load periods of the door in the temporal distribution pattern are analyzed to identify the electrical performance degradation trend caused by moisture and chemical residues from bathing, thus obtaining torque degradation information. Based on the transmission mechanism tension and combined with the torque degradation information, the decay rate characteristics of the door in the electrical performance degradation trend are analyzed to identify transmission relaxation information caused by material aging and wear, thus obtaining tension relaxation information. By integrating the time-specific load information, torque degradation information, and tension relaxation information, an environmental-mechanical information set is constructed that establishes the coupling relationship between the door's usage period, bathroom environmental corrosion, and mechanical state.

[0043] Door opening and closing frequency refers to the number of times the bathroom door completes a full opening and closing motion per unit time. Motor operating torque refers to the torsional torque output by the motor when driving the door to complete the opening and closing motion. Transmission mechanism tension refers to the tension borne by the door's synchronous belt during operation. Periodic load information refers to the distribution characteristics of the door's usage intensity over different time periods. Torque degradation information refers to information related to the abnormal changes in the motor torque required for door operation caused by the deterioration of motor electrical performance due to the humid bathroom environment and bath chemical residues. Tension relaxation information refers to quantitative information on the permanent decrease in transmission mechanism tension caused by moisture erosion, chemical residue corrosion, and mechanical wear of the door's transmission components.

[0044] Specifically, during the use of smart bathroom doors, the door frequently starts and stops, and moisture and residual shower gel can corrode the motor and transmission mechanism. If the operating information set is not analyzed to extract key data, problems such as torque degradation and tension relaxation will not be identified, leading to a continuous increase in performance degradation, causing door opening and closing jams, frequent malfunctions, shortening the service life, affecting the user experience, and increasing maintenance costs. To address the aforementioned issues: Door opening and closing frequency is acquired through door magnetic sensor counting, and time-series analysis methods (e.g., hourly aggregation and fitting of daily cycle curves) are used to analyze its distribution pattern, identifying peak and off-peak usage periods. For example, it was found that the opening and closing frequency peaks between 7:00 PM and 10:00 PM, reaching more than three times the normal frequency, thus extracting time-specific load information. Next, the motor operating torque data is processed: Based on the aforementioned load period division, for each identical high-load period (e.g., each evening peak), the minimum torque required to drive the door to complete one standard stroke is calculated, and the change of this minimum value over time (e.g., over several consecutive days) is tracked. Its growth slope is calculated through linear fitting as the torque demand baseline offset. Then, the accumulation of this offset over multiple consecutive similar periods (e.g., seven consecutive evening peaks) is analyzed. If it shows a stepped accumulation and cannot be recovered even after a prolonged period of drying and ventilation in the bathroom (e.g., the following afternoon), it is determined that there is a problem due to chemical residue from shower gel corroding the internal components of the motor. The torque performance degradation caused by this was analyzed, and the torque compensation required to maintain the rated operating speed was calculated accordingly, forming complete torque degradation information. Then, the tension sensor data of the transmission mechanism was analyzed simultaneously: the fluctuation range of the tension value in a single opening and closing action was calculated, and the trajectory of its average level in continuous operating cycles was observed. Combined with the aforementioned torque degradation information, it was found that in order to compensate for the decline in motor performance, the average value of the tension fluctuation range showed a downward trend day by day, and after the bathroom was dried, the average value could not be restored to the previous level (for example, the tension benchmark of a new door was 50N, and after three months of use, it could only be restored to 45N in the dry state). This irreversible difference was quantified as tension relaxation information caused by plastic deformation and wear of the synchronous belt material. Finally, through information fusion technology, the time-period load information, torque degradation information and tension relaxation information were spatiotemporally correlated and encoded to construct an environmental-mechanical information set that can characterize the quantitative coupling relationship between "high-frequency use period", "chemical corrosion accumulation" and "mechanical aging progress".

[0045] The method provided in this embodiment accurately captures the characteristics of time-dependent load, torque degradation, and tension relaxation, clarifies the coupling relationship between the environment and the machinery, provides accurate data support for subsequent component attenuation analysis and fault tracing, avoids potential faults in advance, reduces maintenance frequency, extends the service life of the door, ensures stable operation of the door, and improves the user experience.

[0046] In some embodiments, based on the motor operating torque and combined with time-specific load information, the slope of the minimum motor operating torque required to drive the door to complete its standard stroke is analyzed over time within the same load period to obtain the torque demand baseline offset. Based on the torque demand baseline offset, the cumulative growth pattern of the torque demand baseline offset is analyzed over multiple consecutive identical load periods to identify the door torque performance degradation information caused by moisture in the motor's internal resistance and corrosion from residual bathing chemicals. Based on the door torque performance degradation information, the additional drive compensation amount required to maintain the door at its rated operating speed in the next load period is analyzed to obtain torque degradation information.

[0047] Periodic load information can be data on the temporal distribution of gate usage intensity over a period of time. Torque demand baseline offset can be the increase in the minimum motor operating torque required to drive the gate to complete its standard stroke within the same load period over time. Gate torque performance degradation information can be information on the decrease in torque output capability of the motor due to moisture in the internal resistance or corrosion from residual chemicals during bathing.

[0048] Specifically, during the use of a smart bathroom door, the door is frequently opened and stopped and comes into contact with bath water vapor and chemical residues. The internal resistance of the motor is easily affected by moisture, and chemical residues can also corrode components. If information on the torque performance degradation of the door is not established, it is impossible to accurately identify the cause and degree of torque attenuation, which can lead to door opening and closing jams, motor overload, accelerated component wear, shortened lifespan of the smart door, and even motor burnout and door failure to open and close normally. To address the aforementioned issues: First, time-series slope analysis is employed to mine historical operating data during specific load periods (e.g., the peak showering season from 7 PM to 9 PM). The rate of change of the minimum motor operating torque required to complete one standard opening and closing stroke (obtained by analyzing the torque curve troughs during each smooth start-up phase) over time (e.g., over 7 consecutive days) is calculated, thus quantifying the torque demand baseline offset. This offset directly reflects the gradual upward shift in the basic level of electrical input required to drive the same mechanical load. Next, cumulative trend identification technology is used to analyze the evolution of this offset across multiple identical load cycles. If it is found to exhibit a daily stepwise increase (e.g., an increase of approximately 0.015 N·m per day), and fails to return to the initial cycle level even after a 12-hour bathroom ventilation and drying interval, attribution analysis can be used to determine... This irreversible cumulative increase is determined to stem from the continuous erosion of the motor's internal structure by bathing moisture and chemical residues (such as brush oxidation and grease deterioration). The cumulative chemical erosion component of the torque is then extracted, representing the gate's torque performance degradation information. Finally, based on this degradation information, a mapping calculation method is used, according to the gate's dynamic characteristics, to derive the additional drive compensation required to compensate for performance degradation and ensure the gate can still operate at its rated speed (e.g., 0.25 m / s) in the next load period (e.g., permanently adding a 5% compensation value to the calculated theoretical torque command). The entire implementation process deeply integrates environmental time-series data analysis, mechanical performance degradation analysis methods, and control feedforward compensation analysis methods. The final output torque degradation information integrates the entire chain of information from "phenomenon monitoring" to "root cause quantification" and then to "compensation decision-making."

[0049] The method provided in this embodiment accurately captures the baseline deviation pattern of torque demand, identifies key degradation causes such as chemical corrosion, and provides precise data support for subsequent performance compensation. This effectively avoids maintenance delays caused by misjudgment of torque degradation, reduces the door failure rate, and ensures the stability of door operation. Simultaneously, it extends the service life of core components such as the motor, reduces maintenance costs, and allows the smart door to operate continuously and efficiently in complex bathroom environments, significantly improving user experience and equipment reliability.

[0050] In some embodiments, based on the torque demand baseline offset, the analysis shows a step-like upward trend that accumulates successively over multiple consecutive periods of the same load; based on the step-like upward trend, the analysis shows that after the bathroom ventilation and drying cycle, the torque demand baseline offset recovers to the level before the rise; if it cannot recover, it is determined that the corrosion caused by chemical residues from items used in the bathroom has affected the inside of the motor, and the cumulative chemical corrosion component of the torque is obtained; based on the cumulative chemical corrosion component, when it is determined to increase, the door torque performance degradation information is obtained.

[0051] A stepped increase pattern can be described as the torque demand baseline offset exhibiting a progressively cumulative, discontinuous increase over multiple consecutive periods of the same load. The bathroom ventilation and drying cycle refers to the period after bathroom use when indoor humidity decreases and moisture dissipates through natural or artificial ventilation. The cumulative chemical corrosion component can be the quantified value of residual chemicals from bathing items that corrode internal motor components, leading to an increase in the torque demand baseline offset.

[0052] Specifically, in the unique application of smart doors in bathrooms, the door's transmission mechanism is constantly affected by bathing moisture, chemical residues, and motor torque degradation. Without analyzing tension relaxation information, this can lead to plastic deformation and surface wear accumulation in the transmission mechanism, causing door opening and closing difficulties, response delays, and even synchronous belt breakage and motor overload burnout. This severely impacts the smart door's operational stability and shortens its lifespan. To address these issues: First, time-series tracking and pattern recognition technology is used to longitudinally track the baseline offset of torque demand during multiple consecutive periods of similar usage intensity (e.g., multiple consecutive 8 PM bathing peak periods), analyzing its changing patterns. For example, when the offset exhibits a step-like increase from an initial 0.1 N·m to 0.15 N·m and 0.22 N·m, rather than a smooth rise, a "step-like increase pattern" is identified. Subsequently, the key step involves introducing periodic state comparison and attribution analysis. Analysis Technology: Special attention is paid to re-testing the torque baseline before the start of the next period of the same load after the bathroom has finished using and undergone a sufficient ventilation and drying cycle (such as the idle period from night to the next morning). If the deviation (e.g., 0.22 N·m) is found to have failed to recover to the level before the current step increase (e.g., 0.15 N·m), a causal determination mechanism is activated. This irreversible increment (e.g., 0.07 N·m) is attributed to the internal corrosion of the motor caused by the penetration of bath chemical residues, and this difference is quantified as a "chemical corrosion cumulative component". Finally, a trend quantification algorithm is used to continuously monitor the evolution of this cumulative component over time (e.g., several weeks or months). When it is determined to show a clear monotonic growth trend, the final "door torque performance degradation information" is generated. This information accurately reflects the severity and rate of progress of the irreversible torque performance degradation dominated by chemical corrosion.

[0053] The method provided in this embodiment accurately captures the tension changes of the transmission mechanism, quantifies plastic deformation and surface wear, and clarifies the degree of permanent degradation of material performance. This provides accurate data support for subsequent adaptive adjustments, effectively avoiding excessive wear of the transmission mechanism, delaying performance degradation, ensuring long-term stable operation of the smart door, reducing the frequency of fault repairs, and continuously improving the user experience and operational reliability of the smart door.

[0054] In some embodiments, based on the tension of the transmission mechanism, the numerical fluctuation range during a single opening and closing action of the door is analyzed; based on torque degradation information, combined with the numerical fluctuation range, the tension decline trajectory of the average level of the numerical fluctuation range over multiple consecutive operating cycles is analyzed to counteract the increased operating resistance caused by the degradation of motor torque performance; based on the tension decline trajectory, the difference in the average level of the numerical fluctuation range failing to recover to the initial value of the cycle during the drying and ventilation phase after the bathroom ends is analyzed; based on the difference, the plastic deformation and surface wear of the smart door material caused by continuous contact with bath water vapor and chemical residues are identified, and the plastic deformation and surface wear characterizing the permanent degradation of material performance are quantified as tension relaxation information.

[0055] The numerical fluctuation range can be the range of tension changes in the transmission mechanism during a single opening and closing action of the door. The tension decrease trajectory can be the gradual decreasing trend of the average tension fluctuation range of the transmission mechanism over multiple consecutive operating cycles. The drying and ventilation phase can be the period after the bathroom is finished using, during which ventilation equipment is turned on and the environment gradually dries. The difference can be the difference between the average tension fluctuation range of the transmission mechanism after the drying and ventilation phase ends and the initial average level of the operating cycle. Plastic deformation can be the irreversible shape change of the intelligent door transmission component material (such as the synchronous belt substrate) due to continuous contact with moisture and chemical residues. Surface wear can be the wear on the surface of the intelligent door transmission component caused by friction and chemical erosion.

[0056] Specifically, during the use of smart bathroom doors, frequent opening and stopping can cause the transmission mechanism to be affected by the combined effects of water vapor erosion, chemical corrosion, and mechanical wear. Without establishing tension relaxation information, it's impossible to accurately determine the degree of plastic deformation and surface wear in the transmission mechanism, leading to a lack of basis for subsequent performance compensation. This can cause door opening and closing to become stuck, response to delays, and even motor overload and burnout, or synchronous belt breakage. To address these issues: First, the raw tension signal from the entire opening and closing process of a single door is filtered and noise-reduced. Then, its numerical fluctuation range is statistically calculated using a sliding window (e.g., tension fluctuating between 8N and 12N during a single door opening stroke). Next, this range data is correlated with torque degradation information provided by the upstream module (this information may be quantified as "the torque required to maintain the rated speed increases by 0.5% per week"). By employing regression analysis, it is found that over multiple consecutive operating cycles (e.g., analyzing data from 100 past door openings and closings), the additional resistance to torque degradation is crucial. The average value of the aforementioned fluctuation range exhibits a clear tension decrease trajectory (e.g., the average tension decreases linearly from 10.5N to 9.0N). Subsequently, the system intelligently identifies the drying and ventilation phase (e.g., the humidity is determined by an environmental humidity sensor to be continuously below 40% for 30 minutes). After this phase, the average value of the tension fluctuation range is resampled and calculated. The key calculation involves comparing this recovered average value with the initial average value at the beginning of the current analysis cycle to obtain an unrecoverable difference (e.g., the recovered average tension is 9.2N, which differs from the initial value of 10.5N by 1.3N). Finally, based on materials science analysis methods, this difference is mainly attributed to the microscopic plastic deformation of the synchronous belt rubber layer caused by long-term damp heat and chemical residue erosion, as well as the wear of the tooth surface. The conclusions of this series of analyses are integrated into a comprehensive quantitative indicator—tension relaxation information (e.g., "the current unrecoverable tension loss rate is 12%)," providing a direct basis for upper-level control decisions.

[0057] The method provided in this embodiment accurately captures the tension changes of the transmission mechanism and quantifies the tension relaxation caused by permanent material damage, providing scientific data support for subsequent performance compensation. This avoids problems of insufficient or excessive compensation, effectively alleviates phenomena such as door jamming and slow response, reduces wear and tear on motor and transmission components, extends the service life of the smart door, and ensures long-term smooth and stable operation of the door in the complex environment of the bathroom, greatly improving user convenience and experience.

[0058] In some embodiments, based on time-specific load information, the mapping relationship between different door usage periods and corresponding torque degradation rates and tension relaxation rates is analyzed to obtain a time-state correlation map. Based on the time-state correlation map, according to the real-time collected current bathroom ambient temperature, humidity, and cumulative door operating time, the real-time offset of torque degradation information and tension relaxation information from the corresponding time period baseline level is analyzed under the superposition of current environmental corrosion intensity and historical mechanical wear. Based on the real-time offset, the torque degradation baseline value and tension relaxation baseline value of the corresponding time period in the time-state correlation map are dynamically updated to generate an environmental-mechanical information set that integrates real-time environmental corrosion degree and historical operating wear.

[0059] The time-state correlation map is a visualized correlation model showing the mapping relationship between different door usage periods and corresponding torque degradation rates and tension relaxation rates. Real-time ambient temperature refers to the actual temperature of the bathroom at the current moment. Humidity refers to the current air humidity in the bathroom. Cumulative door runtime refers to the total opening and closing time of the smart door since its introduction. Environmental corrosion intensity refers to the degree of erosion of door components by water vapor and chemical residues in the current bathroom environment. Historical mechanical wear refers to the cumulative amount of mechanical wear caused by frequent starts and stops and loads during past operation. Real-time offset refers to the difference between the current torque degradation information, tension relaxation information, and the corresponding time-period baseline level. The torque degradation baseline value refers to the standard reference value for the door's torque performance during each usage period. The tension relaxation baseline value refers to the standard reference value for the tension of the transmission mechanism during each usage period.

[0060] Specifically, during the use of smart bathroom doors, the load varies greatly across different time periods. During peak usage periods, frequent start-stop cycles occur, while during idle periods, the continuous effects of humidity and heat, coupled with environmental corrosion and historical mechanical wear, exacerbate the problem. Without establishing a coupling relationship between usage periods, environmental corrosion, and mechanical condition, performance degradation analysis becomes one-sided, with fixed baseline values ​​failing to adapt to dynamic scenarios. This leads to inaccurate fault tracing, lagging control strategies, accelerated wear on door components, and a shortened lifespan. To address these issues, the approach begins with in-depth analysis of the established time-specific load information. First, time-series clustering analysis is employed to cluster the timestamps of historical door opening and closing operations (e.g., using the density-based DBSCAN algorithm). This automatically identifies peak usage periods (e.g., 7:00-9:00 AM and 8:00-10:00 PM) and sparse idle periods (e.g., 1:00-6:00 AM) on the timeline. Then, segmented tracking and regression analysis are used to track the impact of these factors on the door's operation during the identified peak usage and idle periods. By calculating the slope of linear or nonlinear fitting of time-series data on torque degradation and tension relaxation, the short-term abrupt performance change rate caused by frequent mechanical actions during concentrated use periods (e.g., torque degradation rate may be as high as 0.18 N·m / h) and the long-term gradual performance change rate caused by continuous environmental effects during idle periods (e.g., tension relaxation rate may be only 0.5 N / h) are quantified. This establishes an initial time-state correlation map, which essentially defines a normal performance degradation baseline for different time periods (e.g., during the "morning peak"). A database with a torque degradation baseline value of 0.15 N·m / h was established. Subsequently, a real-time dynamic mapping and incremental update mechanism was introduced. During operation, the current ambient temperature, humidity, and cumulative operating time of the door were collected in real time. Combined with the current time period (e.g., judging that it is currently in the "morning peak" period), the torque and tension attenuation baseline values ​​for that time period were retrieved from the spectrum. By calculating the difference between the real-time monitored attenuation data (e.g., the current measured torque degradation rate is 0.22 N·m / h) and the corresponding baseline value, a real-time offset (e.g., 0.07 N·m / h) representing the degree of performance abnormality was obtained. Finally, based on the preset weighted rolling update algorithm, this real-time offset is used as a feedback signal to dynamically correct the torque degradation benchmark value and tension relaxation benchmark value of the current period in the spectrum along the preset benchmark adjustment path (e.g., using the exponential weighted moving average method). (For example, the torque degradation benchmark value of "morning peak" is increased from 0.15 to 0.16 N·m / h). The updated spectrum data and the real-time offset are integrated and output to finally generate an environmental-mechanical information set that integrates real-time environmental corrosion intensity, historical operating wear and its complex coupling relationship with specific usage periods.

[0061] The method provided in this embodiment establishes a coupling relationship among the three elements, dynamically updates performance benchmark values, and ensures that the analysis aligns with actual operating scenarios. The generated environmental-mechanical information set is comprehensive and accurate, providing reliable data support for subsequent component degradation analysis and fault tracing. It can predict performance degradation trends in advance, making control strategy adjustments more targeted, effectively reducing the failure rate, improving the operational stability of smart doors in high-temperature and high-humidity environments, extending the service life of core components, and reducing maintenance costs.

[0062] In some embodiments, based on time-specific load information, the opening and closing operation time points of the gate in multiple consecutive use cycles are analyzed. Clustering is used to identify concentrated use periods with densely distributed opening and closing operations and sparsely distributed idle periods on the time axis. Based on the concentrated use periods and idle periods, the numerical changes of torque degradation information and tension relaxation information recorded in each period are tracked. Based on the numerical changes, the short-term abrupt change rate of torque and tension accelerated by frequent start-stop and continuous load during concentrated use periods is analyzed, and the long-term slow change rate of torque and tension slowed by continuous environmental humidity and heat during idle periods is analyzed. Based on the short-term abrupt change rate and the long-term slow change rate, a bidirectional correlation rule is constructed that corresponds to the intensive active period of gate operation and the rapid performance decline period, and the quiet period of gate operation and the slow performance decline period, as a mapping law for predicting the performance evolution trend.

[0063] Concentrated usage periods can be defined as time intervals on the timeline where door opening and closing operations are densely distributed. Idle periods can be defined as time intervals on the timeline where door opening and closing operations are sparsely distributed. Torque degradation rate can be defined as the degree of degradation of the door's torque performance per unit time. Tension relaxation rate can be defined as the degree of tension relaxation in the door's transmission mechanism per unit time. Short-term abrupt change rate can be defined as the rate of accelerated change in torque and tension caused by frequent door starts and stops and continuous load during concentrated usage periods. Long-term gradual change rate can be defined as the rate of slow change in torque and tension caused by the continuous effects of environmental humidity and heat during idle periods. Mapping law can be defined as the correspondence between door usage periods and the corresponding torque degradation rate and tension relaxation rate. Bidirectional correlation rules can be defined as the correspondence between the densely active period of door operation and the period of rapid performance decline, and the correspondence between the quiet period of door operation and the period of slow performance decline.

[0064] Specifically, during the use of smart bathroom doors, the opening and closing frequency varies greatly at different times. Frequent starts and stops during peak periods bring continuous mechanical load, while during idle periods, the doors are susceptible to corrosion from moisture, heat, and chemical residues. If the torque and tension decay rates are not analyzed at different times, the risk of rapid decay during peak periods will be underestimated, leading to untimely compensation and jamming. Conversely, the decay during idle periods will be overestimated, resulting in excessive energy consumption. This will also affect the accuracy of subsequent baseline updates and fault tracing, causing premature component damage. To address these issues: First, a K-means clustering algorithm is used to process the door opening and closing time sequence over several weeks, automatically dividing it into typical periods such as "peak evening showers" and "nighttime idle periods" based on operation density. Then, time series analysis technology is used to extract the motor torque data sequence and synchronous belt tension data sequence recorded within each identified "peak usage period" window. By calculating the difference mean of key parameters (such as the maximum torque value for completing a standard stroke) within adjacent usage cycles, the "short-term mutation rate" characterizing the mechanical impact is quantified (e.g., calculating the torque degradation rate for that period to be approximately per cycle). (For example, by increasing the pressure by 0.02 N·m); simultaneously, for each "idle period" window, a linear regression method is used to analyze the drift trend of the tension sensor baseline value within that period, quantifying the "long-term slow rate of change" characterizing the impact of environmental corrosion (for example, calculating that the tension relaxation rate during that period is approximately 0.01% per hour); finally, an association rule learning algorithm (such as the Apriori algorithm) is applied to strongly associate "concentrated usage periods" with high "short-term mutation rates" and to strongly associate "idle periods" with specific "long-term slow rates of change", thereby forming a predictable bidirectional association rule base as a mapping model for performance evolution trends.

[0065] The method provided in this embodiment accurately distinguishes between concentrated and idle periods, clarifies the differentiated rate of performance degradation under different scenarios, makes the prediction of performance evolution trends more realistic, provides a scientific basis for the dynamic updating of the benchmark value of the time period-state correlation graph, helps to accurately locate the causes of degradation in each time period, makes the adaptive control strategy more targeted, reduces the problem of improper control, extends the life of core components such as motors and synchronous belts, reduces the probability of failure, and improves the reliability of smart door operation and user experience.

[0066] In some embodiments, based on the real-time offset, the trend of torque degradation and tension relaxation aggravated by the real-time offset during the current bathroom usage period is analyzed to obtain the instantaneous correction amount of the performance status for the current period; based on the instantaneous correction amount of the performance status, the real-time updated values ​​of the torque degradation benchmark value and the tension relaxation benchmark value are calculated along the preset benchmark value adjustment path in the time period-state correlation graph; the torque degradation benchmark value and the tension relaxation benchmark value are positively correlated; the real-time updated values ​​are written into the time period-state correlation graph, overwriting the original benchmark value record of the corresponding time period, and the dynamic update of the time period-state correlation graph is completed.

[0067] The instantaneous performance status correction can be a quantitative indicator of the impact of the increasing trend of torque degradation and tension relaxation on the baseline value during the current bathroom usage period. The preset baseline adjustment path can be a fixed analysis logic and data transmission path pre-defined in the time-state correlation graph for calculating the updated baseline value. Positive correlation means there is a unidirectional relationship between the torque degradation baseline value and the tension relaxation baseline value; that is, when the motor torque performance degradation intensifies, the tension relaxation of the synchronous belt usually intensifies simultaneously. The real-time update value can be calculated based on the instantaneous performance status correction and following the baseline adjustment path, and is used to replace the original recorded torque degradation baseline value and tension relaxation baseline value in the correlation graph.

[0068] Specifically, during the use of smart bathroom doors, the initial baseline value of the time-state correlation graph is fixed and cannot adapt to environmental temperature and humidity fluctuations (such as a sudden increase in humidity during showering), chemical residue accumulation, and mechanical wear. If it is not dynamically updated, it will lead to torque degradation and tension relaxation judgment deviations, resulting in inaccurate fault tracing, delayed performance compensation, and further aggravated component wear, increasing safety hazards such as door jamming and malfunction. To address the aforementioned issues: After obtaining the real-time offset calculated from real-time environmental data (e.g., current humidity is 90%) and cumulative runtime (e.g., 300 hours of operation), the following approach is first employed: Instantaneous trend analysis is used to fit the offset to data within the current short and typical usage window (e.g., the recent 20-minute shower period). This extracts the instantaneous performance state correction that characterizes the instantaneous acceleration of performance degradation (e.g., identifying an additional 0.03 N·m / cycle increase in torque degradation rate within this window). Subsequently, a preset baseline adjustment path is invoked. This path is essentially a nonlinear function model considering the cumulative effect of material fatigue (e.g., new baseline value = original baseline value + correction amount × e^(-aging coefficient × ...). The cumulative runtime is used to calculate the instantaneous correction value by inputting it into the model through weighted calculation. The model then calculates the real-time updated value applicable to the next cycle. During this process, since the torque degradation benchmark value and the tension relaxation benchmark value are modeled as positively correlated (for example, for every 0.01 N·m increase in the torque benchmark, the tension benchmark needs to be increased by 0.5 N), the updated matching value of the two will be calculated simultaneously (for example, if the torque benchmark is adjusted from 0.15 to 0.18 N·m / cycle, the tension benchmark will be adjusted from 1.2 N to 1.35 N accordingly). Finally, through data overwriting, this pair of new benchmark values ​​is written into the database field of the time period-state association graph as the latest knowledge for this period ("peak hours at 8 pm"), completely overwriting the original records. This completes the online and real-time iteration of the graph, providing an instantaneously updated decision basis for subsequent fault tracing and compensation control.

[0069] The method provided in this embodiment accurately reflects the performance degradation trend, providing reliable data support for subsequent fault prediction. At the same time, it makes the performance compensation strategy more targeted, effectively delays the degradation of components such as motors and synchronous belts, reduces the failure rate, extends the service life of smart doors, and ensures operational stability and safety.

[0070] In some embodiments, based on torque degradation information, the additional current consumption of the motor to maintain rated output is analyzed to obtain the inflection point information of motor performance degradation; based on tension relaxation information, the coupling and superposition effect between the tension attenuation trajectory passively adjusted by the synchronous belt to match the attenuated motor output and the self-elastic attenuation trajectory caused by material moisture absorption and expansion and chemical residual corrosion is analyzed to obtain transmission coupling failure information; integrating the inflection point information of motor performance degradation and the transmission coupling failure information, a set of door component operation attenuation information is constructed for predicting the failure risk of smart door components and guiding targeted compensation.

[0071] The inflection point information for motor performance degradation can be the critical node information of the motor transitioning from a stable operating state to a state of continuous performance degradation. Transmission coupling failure information can be the risk information of collaborative failure between the synchronous belt and the motor due to the mutual influence of performance degradation. Rated motor output can be the standard operating output parameters of the intelligent door motor design. Additional current consumption can be the amount of current consumed beyond normal operation to achieve rated output after motor performance degradation. The synchronous belt is the core component of the intelligent door transmission mechanism, used to transmit motor power to achieve door opening and closing. Motor output force can be the actual power output value of the motor. Material moisture absorption and expansion can be the volume expansion phenomenon of the synchronous belt material after absorbing moisture in the high-temperature and high-humidity environment of a bathroom. Elastic decay trajectory can be the data on the trend of the synchronous belt's elastic properties gradually decreasing over time under environmental influences and mechanical wear.

[0072] Specifically, during the use of smart bathroom doors, the motor and synchronous belt are prone to forming a "vicious cycle of performance degradation": the deterioration of motor torque will increase the tension load of the synchronous belt, and the elasticity decay of the synchronous belt will in turn increase the operating pressure of the motor. Existing systems lack monitoring of the coupling effect between the two, often resulting in misjudgment of faults and delayed maintenance, leading to door jamming, excessive wear of components, and even safety hazards such as motor burnout and synchronous belt breakage, which seriously affect the user experience and equipment lifespan. To address the aforementioned issues: Firstly, relying on torque degradation information (characterizing the trend of increasing motor drive resistance) and tension relaxation information (quantifying the permanent loss of effective tension in the synchronous belt), a combination of time-series pattern recognition and coupled dynamics analysis is employed. For extracting the inflection point information of motor performance degradation: continuously monitor and calculate the deviation rate of the current required by the motor to maintain standard operating speed (e.g., 0.3 meters per second) relative to the factory reference. When the algorithm identifies that this deviation rate is not only consistently positive over several typical load cycles (e.g., three consecutive evening peak bathing periods), but also exhibits a non-linear acceleration characteristic (e.g., the deviation rate jumps from 0.5% per cycle to over 2%), it is determined that the internal losses of the motor (e.g., decreased winding insulation, weakened magnets) have passed the linear slow decay stage and entered a critical region where performance may decline sharply. This critical state is marked as structured inflection point information of motor performance degradation. For constructing transmission coupling failure information, more refined signal decoupling analysis is involved: firstly, high-pass filtering technology is used to separate the transmission coupling failure information from the time-series data of tension relaxation information. The algorithm extracts a high-frequency fluctuation component that is strictly synchronized with each start and stop of the door. This component directly reflects the following attenuation trajectory generated by matching the real-time motor torque output. Simultaneously, using low-pass filtering technology, it extracts a slow-decreasing component that continues to exist during periods when the door is stationary (such as long periods when the bathroom is not used). This component is mainly caused by material moisture absorption and chemical erosion, resulting in a corrosive attenuation trajectory. Then, through a pre-defined coupling method (which describes the interaction between mechanical load transmission efficiency and environmental aging rate), the algorithm superimposes these two trajectories on the same time axis. It quantifies the coupling effect between the wear increment caused by insufficient motor output leading to additional slippage of the synchronous belt and the material strength attenuation base value caused by environmental corrosion within a specific period (such as a one-month usage cycle). Finally, it outputs a quantified transmission coupling failure information. Finally, the inflection point information that identifies the critical state of the drive source and the coupling failure information that describes the degree of composite degradation of the transmission mechanism are integrated into a multi-dimensional set of door component operation attenuation information, thereby completing the transformation from raw data to in-depth degradation insight.

[0073] The method provided in this embodiment accurately captures the collaborative attenuation pattern of core components, breaking the limitations of monitoring single components. This provides a scientific basis for subsequent compensation control, allows for early prediction of fault risks, avoids the escalation of a vicious cycle, effectively reduces problems such as door jamming and inability to open or close, extends the service life of motors and synchronous belts, reduces maintenance costs, ensures long-term stable operation of smart doors in special environments, and improves the user experience.

[0074] In some embodiments, based on tension relaxation information, the synchronous belt tension value shows a regular decrease that is synchronized with the motor output attenuation trend and at a rate faster than the attenuation trend, in order to compensate for the insufficient drive represented by the motor torque performance degradation information during the continuous door opening and closing cycle, thus obtaining a following attenuation trajectory. Based on tension relaxation information, the influence of the synchronous belt tension value spontaneously generated by the material structure due to moisture expansion and corrosion by bath chemical residues during the continuous operation period of the high temperature and high humidity environment in the bathroom is analyzed, thus obtaining a corrosive attenuation trajectory. Based on the following attenuation trajectory and combined with the corrosive attenuation trajectory, the superposition effect between the instantaneous decrease of the following attenuation trajectory and the cumulative decrease base of the corrosive attenuation trajectory in the same period of the actual operation of the door is analyzed, thus identifying the accelerated attenuation information caused by the mechanical compensation demand and the environmental corrosive base, thus obtaining the transmission coupling failure information.

[0075] The following attenuation trajectory can be described as follows: **Following attenuation trajectory:** This refers to the synchronous belt's tension changing in a regular pattern, synchronized with the motor's output attenuation trend but at a faster rate, as it compensates for insufficient drive caused by the degradation of the motor's torque performance. **Corrosive attenuation trajectory:** This refers to the spontaneous tension changes in the synchronous belt caused by material expansion due to moisture and corrosion from bath chemicals when operating without a door under the continuous high temperature and humidity of a bathroom. **Mechanical compensation requirement:** This refers to the passive tension adjustment requirement of the synchronous belt to match the motor's attenuating output. **Environmental corrosion substrate:** This refers to the cumulative corrosion effect of the high temperature and humidity of a bathroom and chemical residues on the synchronous belt. **Accelerated attenuation information:** This refers to the rapid performance decline of the synchronous belt, exceeding the effect of a single attenuation factor, resulting from the superposition of mechanical compensation requirement and environmental corrosion substrate.

[0076] Specifically, during the use of smart bathroom doors, the smart door's synchronous belt and motor operate in long-term coupled operation. The degradation of motor torque will cause mechanical compensation attenuation of the synchronous belt. At the same time, the humid and hot environment and chemical residues will cause spontaneous corrosion attenuation of the synchronous belt. If the two attenuation trajectories are not integrated, the true state of the transmission system will be misjudged, leading to omissions in fault tracing, imbalance of compensation strategies, and thus aggravated component wear, shortened service life, and even safety hazards such as door jamming and drive failure. To address the aforementioned issues, the approach begins with in-depth analysis of high-frequency acquired synchronous belt tension time-series data. Firstly, a data segmentation technique based on operational status identification is employed to clearly separate the continuous data stream into "gate operation periods" and "completely static periods." For the operation period data, dynamic time warping and correlation analysis are used to accurately extract the variable components in the tension signal that are highly synchronized with the motor torque degradation curve but have a steeper downward slope. This allows for the plotting of a "following decay trajectory" characterizing the mechanical compensation effect. For example, analysis reveals that whenever the motor needs to add an additional 0.15 N·m of torque to maintain speed, the synchronous belt tension exhibits an instantaneous dip within the corresponding operating cycle, for example, decreasing by 5% more than the baseline value. This rate of decrease can reach, for example, 1.3 times the torque degradation rate. For the static period data, trend fitting and baseline extraction algorithms are used to extract a smooth curve showing that the tension value still slowly decreases over time without external mechanical excitation. This refers to the "corrosive attenuation trajectory." For example, in a high-humidity environment for several consecutive hours at night, even if the door remains stationary, the tension baseline may spontaneously decrease by about 2% due to the material's moisture absorption and expansion. Ultimately, by constructing a coupling analysis method, the instantaneous decrease of each "following attenuation trajectory" during the operating period is superimposed on the performance attenuation base formed by the "corrosive attenuation trajectory" at the same time point. For example, at a specific operating moment, the corrosive trajectory has implicitly weakened the material's load-bearing capacity by 5% (as the base), while the mechanical compensation demand brings a 10% instantaneous tension decrease requirement. The model identifies through nonlinear superposition calculation that the actual equivalent load increase applied to the material may be as high as, for example, 16%, rather than a simple 15%. This extra part beyond linear superposition is the revealed "accelerated attenuation information," thereby accurately quantifying and outputting the "transmission coupling failure information" characterizing the mutual stimulation of mechanical and environmental destructive effects.

[0077] The method provided in this embodiment accurately captures the coupled superposition effect of synchronous belt mechanical compensation and environmental corrosion, fully restores the attenuation mechanism of the transmission system, provides core data support for fault risk tracing, enables subsequent compensation strategies to be specifically matched with coupled attenuation characteristics, avoids misadjustment problems caused by attenuation analysis of a single component, effectively slows down the accelerated wear of components, extends the stable operation cycle of the smart door in complex environments, and improves the reliability and durability of the system.

[0078] The system in this embodiment can be used to execute the methods of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

Claims

1. A data analysis-based intelligent gate optimization control method, characterized in that, include: Obtain a set of bathroom door operation information. Based on the set of bathroom door operation information, analyze the dynamic operation characteristics of the door in a high temperature and high humidity environment under the influence of frequent opening and stopping, bathing water vapor and chemical residues of shower gel, and obtain an environmental-mechanical information set. Based on the environmental-mechanical information set, the performance degradation and state evolution behavior of the door synchronous belt and motor under continuous load and damp heat aging are analyzed to obtain the door component operation degradation information set. Based on the set of operational attenuation information of the door components, and according to real-time environmental data and cumulative operation records, the main environmental and mechanical disturbance factors that cause performance degradation are located, and a fault risk tracing report is obtained. Based on the fault risk tracing report, the motor drive and transmission mechanism are adaptively adjusted in real time to dynamically compensate for the performance degradation of the smart door, and the smart door optimization control log is output. Based on the bathroom door operation information set, the dynamic operation characteristics of the door under the influence of frequent opening and stopping, bathing water vapor, and chemical residues of shower gel in a high-temperature and high-humidity environment are analyzed to obtain an environmental-mechanical information set, including: The bathroom door operation information set includes the door opening and closing frequency, motor working torque, and transmission mechanism tension. Based on the opening and closing frequency of the door, the temporal distribution pattern of the door's usage intensity over time is analyzed to obtain time-specific load information; Based on the motor's operating torque and the time-dependent load information, the differences in load periods of the door body in the time-series distribution pattern are analyzed to identify the trend of electrical performance degradation caused by moisture and chemical residues from bathing, and torque degradation information is obtained. Based on the tension of the transmission mechanism and the torque degradation information, the attenuation rate characteristics of the door body in the electrical performance degradation trend are analyzed, and the transmission relaxation information caused by material aging and wear is identified to obtain tension relaxation information. By combining the time-dependent load information, the torque degradation information, and the tension relaxation information, an environmental-mechanical information set is constructed that establishes the coupling relationship between the door's usage period, bathroom environmental corrosion, and mechanical condition.

2. The method according to claim 1, characterized in that, The process of constructing the torque degradation information includes: Based on the motor operating torque and the time-specific load information, the slope of the minimum motor operating torque required to drive the door to complete the standard stroke is analyzed over time within the same load period to obtain the torque demand baseline offset. Based on the torque demand baseline offset, the cumulative growth pattern of the torque demand baseline offset is analyzed in multiple consecutive identical load periods, and the information on the continuous degradation of the door torque performance due to moisture in the motor's internal resistance and corrosion by residual bathing chemicals is identified. Based on the torque performance degradation information of the gate body, the additional drive compensation amount required to maintain the gate body at its rated operating speed in the next load period is analyzed to obtain the torque degradation information.

3. The method according to claim 2, characterized in that, The process of constructing the door body torque performance degradation information includes: Based on the aforementioned torque demand baseline offset, the analysis shows a step-like upward trend with successive accumulation within multiple consecutive identical load periods. Based on the aforementioned step-like upward trend, it is analyzed that after the bathroom ventilation and drying cycle, the torque demand baseline offset returns to the level before the rise. If it cannot be restored, it is determined that the corrosion of the motor is caused by chemical residues from items used in the bath, and the cumulative chemical corrosion component of the torque is obtained. Based on the cumulative chemical erosion component, when growth is determined, the information on the degradation of the door's torque performance is obtained.

4. The method according to claim 3, characterized in that, The process of constructing the tension relaxation information includes: Based on the tension of the transmission mechanism, the range of numerical fluctuations during a single opening and closing action of the door is analyzed. Based on the torque degradation information and the numerical fluctuation range, the average level of the numerical fluctuation range exhibits a tension decrease trajectory over multiple consecutive operating cycles in order to counteract the increased operating resistance caused by the degradation of motor torque performance. Based on the tension drop trajectory, the difference between the average level of the numerical fluctuation range and the initial value of the cycle during the drying and ventilation phase after the bathroom ends was analyzed. Based on the difference, the plastic deformation and surface wear of the smart door material caused by continuous contact with bath water vapor and chemical residues are identified, and the plastic deformation and surface wear that characterize the permanent decline in material performance are quantified as the tension relaxation information.

5. The method according to claim 4, characterized in that, The process of constructing the coupling relationship between the usage period of the door, the corrosion of the bathroom environment, and the mechanical condition includes: Based on the time-specific load information, the mapping relationship between different gate usage periods and corresponding torque degradation rate and tension relaxation rate is analyzed to obtain a time-state correlation map. Based on the time period-state correlation map, according to the real-time collected current bathroom ambient temperature, humidity and door cumulative running time, the real-time offset of the torque degradation information and the tension relaxation information from the reference level of the corresponding time period is analyzed under the superposition of current environmental corrosion intensity and historical mechanical wear. Based on the real-time offset, the torque degradation benchmark value and tension relaxation benchmark value of the corresponding time period in the time period-state correlation map are dynamically updated to generate the environmental-mechanical information set that integrates the real-time environmental corrosion degree and historical operating wear.

6. The method according to claim 5, characterized in that, The analysis of the mapping relationship between different door usage periods and corresponding torque degradation rates and tension relaxation rates includes: Based on the time-specific load information, the opening and closing operation time points of the door in multiple consecutive use cycles are analyzed. By clustering, concentrated use periods with dense distribution of opening and closing operations and idle periods with sparse distribution of opening and closing operations are identified on the time axis. Based on the concentrated usage period and the idle period, the numerical changes of the torque degradation information and the tension relaxation information recorded in each period are tracked respectively; Based on the numerical changes, the short-term abrupt change rate of torque and tension due to frequent start-stop and continuous load during the concentrated use period is analyzed, and the long-term slow change rate of torque and tension due to the continuous effect of environmental humidity and heat during the idle period is analyzed. Based on the short-term mutation rate and the long-term slow change rate, a bidirectional association rule is constructed that corresponds to the dense active period of gate operation and the rapid performance decay period, and the quiescent period of gate operation and the slow performance degradation period, as the mapping law used to predict the performance evolution trend.

7. The method according to claim 6, characterized in that, The dynamic updating of the torque degradation baseline value and tension relaxation baseline value for the corresponding time period in the time-state correlation graph includes: Based on the real-time offset, the trend of torque degradation and tension relaxation intensification represented by the real-time offset during the current bathroom usage period is analyzed to obtain the instantaneous correction amount for the performance status during the current period. Based on the instantaneous correction amount of the performance status, the real-time update values ​​of the torque degradation benchmark value and the tension relaxation benchmark value are calculated along the preset benchmark value adjustment path in the time period-state correlation graph. The torque degradation benchmark value is positively correlated with the tension relaxation benchmark value; The real-time updated values ​​are written into the time period-state association graph, overwriting the original baseline value record for the corresponding time period, thus completing the dynamic update of the time period-state association graph.

8. The method according to claim 7, characterized in that, The process of constructing the attenuation information set of the door component includes: Based on the torque degradation information, the additional current consumption of the motor to maintain rated output is analyzed to obtain the inflection point information of motor performance degradation. Based on the tension relaxation information, the coupling and superposition effect between the tension attenuation trajectory passively adjusted by the synchronous belt to match the attenuated motor output and the elastic attenuation trajectory caused by material moisture absorption and expansion and chemical residual corrosion is analyzed to obtain transmission coupling failure information. By integrating the inflection point information of motor performance degradation with the transmission coupling failure information, a set of operational attenuation information of the door components is constructed for predicting the failure risk of smart door components and guiding targeted compensation.

9. The method according to claim 8, characterized in that, The process of constructing the transmission coupling failure information includes: Based on the tension relaxation information, the analysis shows that during the continuous door opening and closing cycle, in order to compensate for the insufficient drive represented by the degraded motor torque performance information, the synchronous belt tension value exhibits a regular decrease that is synchronized with the motor output attenuation trend and at a rate faster than the attenuation trend, thus obtaining a following attenuation trajectory. Based on the tension relaxation information, the influence of the synchronous belt tension value on the spontaneous expansion of the material structure due to moisture and corrosion by bath chemical residues during the continuous period of high temperature and high humidity in the bathroom is analyzed, and the corrosion attenuation trajectory is obtained. Based on the following attenuation trajectory and the corrosive attenuation trajectory, the superposition effect between the instantaneous decrease of the following attenuation trajectory and the cumulative decrease of the corrosive attenuation trajectory in the same period of time during the actual operation of the door is analyzed. The accelerated attenuation information caused by the mechanical compensation demand and the environmental corrosive substrate is identified, and the transmission coupling failure information is obtained.

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