Intelligent control method and system for electric heating towel rack

Abstract

The invention provides an intelligent control method and system for an electric heating towel rack, and relates to the technical field of intelligent control, and the method comprises the steps: carrying out the combined time sequence influence analysis of towels of the electric heating towel rack, carrying out the temperature control adjustment, and obtaining the temperature control adjustment data; performing towel humidity control change monitoring according to temperature control, and triggering a power adjustment mechanism according to monitoring information; determining mode switching data according to a power adjustment mechanism, performing a heating program of a corresponding mode, monitoring towel temperature heating deviation, and performing deviation compensation to obtain mode heating data; a multi-section nested telescopic rod and a heat distribution diagram thereof are arranged on the electric heating towel rack according to the mode heating data, temperature fine adjustment is conducted according to the heat distribution diagram, and drying and heating configuration data are obtained; according to the method, environment perception, intelligent prediction, dynamic adjustment and structure self-adaption can be deeply fused to solve the comprehensive problems in the aspects of effect, safety and convenience in the prior art.

Description

Technical Field

[0001] This invention proposes an intelligent control method and system for electric towel racks, which relates to the field of intelligent control technology, specifically to the field of intelligent control technology for electric towel racks. Background Technology

[0002] Traditional electric towel racks are mostly single-function, with rudimentary temperature control methods, often relying on simple timer or fixed-temperature controls. They cannot dynamically adjust based on ambient temperature, towel humidity, or other variables, resulting in high energy consumption and inconsistent drying performance. They lack intelligent sensing and predictive capabilities, failing to adapt to temperature and humidity changes across seasons and usage scenarios, leading to a poor user experience. Their fixed structures cannot flexibly adapt to diverse space and hanging requirements, and the stability and safety of their electronic control systems in humid environments need further improvement. Furthermore, while some existing products offer app control, most fail to achieve true intelligent closed-loop management, particularly in energy consumption optimization and multi-factor collaborative control. Summary of the Invention

[0003] This invention provides an intelligent control method and system for electric towel racks to solve the above-mentioned problems:

[0004] This invention proposes an intelligent control method and system for an electric towel rack, the method comprising:

[0005] S1. Conduct a joint time-series influence analysis on the towels of the electric towel rack, considering the ambient temperature, towel temperature, and towel humidity. Based on the information from the joint time-series influence analysis, adjust the temperature control to obtain temperature control data.

[0006] S2. Obtain the preset heating temperature threshold and time, perform temperature control based on temperature control adjustment data, monitor changes in towel humidity based on temperature control, and trigger the power adjustment mechanism based on the monitoring information.

[0007] S3. Determine the mode switching data according to the power adjustment mechanism, perform the heating program of the corresponding mode and monitor the heating deviation of the towel temperature, perform deviation compensation, and obtain the mode heating data.

[0008] S4. Based on the mode heating data, set up a multi-segment nested telescopic rod and its heat distribution map for the electric towel rack, and make fine-tuning of the temperature according to the heat distribution map to obtain drying and heating configuration data.

[0009] Further, S1 includes:

[0010] The ambient temperature and surface temperature of the electric heated towel rack are collected by temperature sensors to obtain ambient temperature data and towel temperature data.

[0011] The humidity of the towel is collected using a humidity sensor to obtain the towel humidity data;

[0012] A comprehensive temperature control analysis was performed on ambient temperature data, towel temperature data, and towel humidity data to obtain comprehensive temperature control analysis data.

[0013] Temperature control is adjusted based on comprehensive temperature control analysis data to obtain temperature control adjustment data.

[0014] Furthermore, the comprehensive temperature control analysis of ambient temperature data, towel temperature data, and towel humidity data to obtain comprehensive temperature control analysis data includes:

[0015] Based on preset time series information, the ambient temperature data, towel temperature data, and towel humidity data are time-series labeled to obtain time series data information;

[0016] Based on the time-series data, the ambient temperature data, towel temperature data, and towel humidity data are divided into time series to obtain stage time-series data.

[0017] Acquire environmental temperature change data, towel temperature change data, and towel humidity change data of adjacent time series data to obtain adjacent time series change data;

[0018] Obtain the proportion of connected time-series change data in the total historical time-series change data, and obtain the stage change proportion coefficients of ambient temperature change data, towel temperature change data, and towel humidity change data.

[0019] When the phase change ratio of the ambient temperature change data is 0, the ratio of the phase change ratios of the towel humidity change data and the towel temperature change data is used to obtain the towel humidity influence coefficient.

[0020] The ratio of the percentage of changes in ambient temperature data to that in towel temperature data when the percentage of changes in towel humidity data is 0 is used to obtain the ambient temperature influence coefficient.

[0021] The humidity influence coefficient and ambient temperature influence coefficient of the towel are the comprehensive temperature control analysis data.

[0022] Furthermore, the step of adjusting the temperature control based on comprehensive temperature control analysis data to obtain temperature control adjustment data includes:

[0023] Based on the towel temperature change data, obtain the temperature deviation data between the current towel temperature data and the user's expected temperature data; based on the ambient temperature influence coefficient, predict the first towel temperature change data affected by the ambient temperature change data over a preset time period; based on the towel humidity influence coefficient, predict the second towel temperature change data affected by the towel humidity change data over a preset time period.

[0024] The total compensation requirement is calculated based on the temperature deviation data, the temperature change data of the first towel, and the temperature change data of the second towel.

[0025] The heating power data is determined based on the total compensation requirement;

[0026] The heating power data is the temperature control adjustment data.

[0027] Further, S2 includes:

[0028] Obtain the preset heating temperature threshold and the preset heating time information;

[0029] The heating time information includes the heating start time and the heating end time;

[0030] Temperature control adjustment commands are triggered based on the pre-set heating time information;

[0031] Temperature control is performed based on temperature control commands and temperature control data to control the temperature during the predetermined heating time.

[0032] During the temperature control process, the humidity of the towel is collected to obtain data on changes in towel humidity control.

[0033] The power adjustment mechanism is triggered based on changes in towel humidity control data.

[0034] Further, S3 includes:

[0035] The operating mode switching information is determined based on the power adjustment mechanism, and the mode switching data is obtained.

[0036] Call the preset heating temperature threshold and its temperature control adjustment data corresponding to the mode switching data;

[0037] The heating program is started based on the preset heating temperature threshold and its temperature control adjustment data.

[0038] After the heating program starts, the towel temperature data is continuously compared with the preset heating temperature threshold.

[0039] When the difference between the towel temperature data and the preset heating temperature threshold is less than the preset difference range, the temperature compensation coefficient is obtained;

[0040] Power is fine-tuned using a temperature compensation coefficient, and mode heating data is obtained based on the power fine-tuning.

[0041] The heating data of the described mode is transmitted to the user's APP;

[0042] Before the heating program starts, a waterproof self-test analysis is performed on the electrical control components and wiring of the electric towel rack, and the self-test status indicator light is triggered based on the analysis results.

[0043] Furthermore, before the heating program is started, a waterproof self-test analysis is performed on the electrical control components and wiring of the electric towel rack, and a self-test status indicator light is triggered based on the analysis results, including:

[0044] Before the heating program starts, the status parameters of the electronic control components are collected;

[0045] Confirm the component performance stability data and telescopic pole line stability data based on the aforementioned status parameters;

[0046] The airtightness self-test procedure of the waterproof structure is initiated based on the component performance stability data and the telescopic pole line stability data.

[0047] Determine the risk data of moisture intrusion based on the airtightness self-inspection procedure;

[0048] Power on the main circuit based on moisture intrusion risk data;

[0049] Based on the main circuit power-on information, a low-voltage current humid environment operation verification is performed, and a self-test status indicator light is triggered after the verification is passed.

[0050] Further, S4 includes:

[0051] Based on the heating mode data, a multi-segment nested telescopic rod is set for the electric towel rack;

[0052] The parameters of the multi-segment nested telescopic rod are adjusted to obtain the height adjustment data of the electric towel rack;

[0053] After adjusting the height, lock the electric towel rack in its correct position and obtain a heat distribution map;

[0054] The temperature of the electric towel rack is fine-tuned according to the heat distribution map until the temperature uniformity at each hanging point is less than the preset uniformity threshold, thus obtaining the drying and heating configuration data.

[0055] During the drying process, the towel's humidity is analyzed, and the heating is terminated based on the humidity analysis data.

[0056] Furthermore, the step of analyzing the towel's humidity during the drying process and determining whether to terminate heating based on the humidity analysis data includes:

[0057] The towel humidity data is compared with a preset humidity threshold to obtain humidity comparison results;

[0058] Heating is adjusted based on the humidity comparison results until the towel humidity data is lower than the preset humidity threshold. Then, the cooling program is started until the towel humidity data reaches the target dryness range and heating is stopped.

[0059] After heating is stopped, the mode drying data is transmitted to the user's APP.

[0060] Furthermore, the system includes:

[0061] The temperature control module is used to perform a joint time-series influence analysis on the towels of the electric towel rack, considering the ambient temperature, towel temperature, and towel humidity. Based on the joint time-series influence analysis information, the temperature control is adjusted to obtain temperature control data.

[0062] The power adjustment module is used to obtain the preset heating temperature threshold and time, perform temperature control based on the temperature control adjustment data, monitor changes in towel humidity based on the temperature control, and trigger the power adjustment mechanism based on the monitoring information.

[0063] The mode switching module is used to determine the mode switching data according to the power adjustment mechanism, perform the heating program of the corresponding mode, monitor the heating deviation of the towel temperature, perform deviation compensation, and obtain the mode heating data.

[0064] The drying fine-tuning module is used to set up multi-segment nested telescopic rods and their heat distribution map for the electric towel rack according to the mode heating data, and to fine-tune the temperature according to the heat distribution map to obtain drying heating configuration data.

[0065] The beneficial effects of this invention are as follows: This invention achieves a leap from single-parameter control to multi-factor coupled intelligent decision-making, significantly improving the foresight and accuracy of control. It forms a complete control closed loop of perception, decision-making, execution, and calibration, enabling the electric towel rack to proactively adapt to complex and changing usage environments, rather than passively responding. The deep integration of software intelligent control and hardware mechanical structure ensures a high degree of unity between convenience (extendable and foldable) and functionality (uniform drying), providing users with a stable and high-quality experience. Attached Figure Description

[0066] Figure 1 This is a schematic diagram of an intelligent control method for an electric towel rack;

[0067] Figure 2 This is a schematic diagram illustrating the acquisition of temporal change data between adjacent stages. Detailed Implementation

[0068] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0069] In one embodiment of the present invention, an intelligent control method and system for an electric towel rack is proposed, the method comprising:

[0070] S1. Conduct a joint time-series influence analysis on the towels of the electric towel rack, considering the ambient temperature, towel temperature, and towel humidity. Based on the information from the joint time-series influence analysis, adjust the temperature control to obtain temperature control data.

[0071] S2. Obtain the preset heating temperature threshold and time, perform temperature control based on temperature control adjustment data, monitor changes in towel humidity based on temperature control, and trigger the power adjustment mechanism based on the monitoring information.

[0072] S3. Determine the mode switching data according to the power adjustment mechanism, perform the heating program of the corresponding mode and monitor the heating deviation of the towel temperature, perform deviation compensation, and obtain the mode heating data.

[0073] S4. Based on the mode heating data, configure the electric towel rack with multi-segment nested telescopic rods and their heat distribution diagram. Fine-tune the temperature based on the heat distribution diagram to obtain drying and heating configuration data, such as... Figure 1 As shown.

[0074] The working principle and technical effects of the above solution are as follows: By combining time-series influence analysis, the interaction between ambient temperature, towel temperature, and humidity over time is dynamically understood, and precise temperature adjustment commands (temperature control adjustment data) are generated based on this. Different power adjustment mechanisms are triggered according to preset conditions and real-time monitoring results (such as humidity changes); specific mode switching is executed, and real-time fine-tuning is performed during the heating process to compensate for deviations and ensure control accuracy. The software commands are linked with the hardware structure, and the physical shape is changed by adjusting the telescopic rod, while simultaneously optimizing heat distribution to ensure uniform and efficient drying results in any shape.

[0075] This invention represents a leap from single-parameter control to multi-factor coupled intelligent decision-making, significantly improving the foresight and accuracy of control. It forms a complete control closed loop encompassing perception, decision-making, execution, and calibration, enabling the electric towel rack to proactively adapt to complex and ever-changing usage environments, rather than passively responding. The deep integration of software intelligent control and hardware mechanical structure ensures a high degree of unity between convenience (extendable and foldable) and functionality (uniform drying), providing users with a stable and high-quality experience.

[0076] In one embodiment of the present invention, S1 includes:

[0077] The ambient temperature and surface temperature of the electric heated towel rack are collected by temperature sensors to obtain ambient temperature data and towel temperature data.

[0078] The humidity of the towel is collected using a humidity sensor to obtain the towel humidity data;

[0079] A comprehensive temperature control analysis was performed on ambient temperature data, towel temperature data, and towel humidity data to obtain comprehensive temperature control analysis data.

[0080] Temperature control is adjusted based on comprehensive temperature control analysis data to obtain temperature control adjustment data.

[0081] The working principle and technical effects of the above solution are as follows: A high-precision temperature sensor network collects ambient temperature data representing the thermal conditions of the surrounding environment, as well as towel temperature data representing the towel's own temperature. Simultaneously, a dedicated humidity sensor directly monitors the towel's humidity data, quantifying its moisture content. These three types of data together constitute a panoramic information map describing the current state, providing accurate and comprehensive data for in-depth analysis.

[0082] A multi-dimensional environmental state perception capability was established, laying a solid data foundation for the operation of advanced intelligent algorithms and avoiding control failures caused by limited data. The sources and types of data were clearly defined, making the operational basis of the entire control system clearer and improving its reliability and interpretability. A well-defined sensor layout ensured that the system could accurately distinguish between external environmental influences and changes in the towel's own state, making refined control possible.

[0083] In one embodiment of the present invention, the step of performing a comprehensive temperature control analysis on ambient temperature data, towel temperature data, and towel humidity data to obtain comprehensive temperature control analysis data includes:

[0084] Based on preset time series information, the ambient temperature data, towel temperature data, and towel humidity data are time-series labeled to obtain time series data information;

[0085] Based on the time-series data, the ambient temperature data, towel temperature data, and towel humidity data are divided into time series to obtain stage time-series data.

[0086] Obtain environmental temperature change data, towel temperature change data, and towel humidity change data from adjacent time-series data to obtain time-series change data for adjacent time-series data, such as... Figure 2 As shown;

[0087] Obtain the proportion of connected time-series change data in the total historical time-series change data, and obtain the stage change proportion coefficients of ambient temperature change data, towel temperature change data, and towel humidity change data.

[0088] When the phase change ratio coefficient of the ambient temperature change data is 0 (which can be replaced by a range close to 0), the ratio of the phase change ratio coefficients of the towel humidity change data and the towel temperature change data is used to obtain the towel humidity influence coefficient.

[0089] The ratio of the percentage of changes in ambient temperature data to that in towel temperature data when the percentage of changes in towel humidity data is 0 is used to obtain the ambient temperature influence coefficient.

[0090] The humidity influence coefficient and ambient temperature influence coefficient of the towel are the comprehensive temperature control analysis data.

[0091] The working principle and technical effects of the above solution are as follows: It introduces a time dimension to understand the causal patterns behind the data. The system segments the continuous data stream into continuous time-series data in stages. By analyzing the changes in data between adjacent stages (time-series change data) and calculating their contribution ratio over a historical period (stage change ratio coefficient), it quantifies the relative influence of different factors in each small stage. The most crucial step is to calculate the towel humidity influence coefficient and the ambient temperature influence coefficient by setting ideal conditions (such as the influence of a certain factor being 0). These two coefficients essentially digitally model the unit influence of environment and humidity on towel temperature, enabling the system to understand and quantify causal relationships in the physical world.

[0092] Transforming vague qualitative perception into precise quantitative analysis enables the system to discern the physical laws underlying the data. The output impact coefficients become the cornerstone of subsequent predictive control, transforming control decisions from empirical guesswork to model-based scientific calculations. This significantly enhances the system's adaptability to different usage scenarios (such as the dry north and the humid south), as the impact coefficients accurately reflect the characteristics of the local environment.

[0093] In one embodiment of the present invention, the step of adjusting the temperature control based on comprehensive temperature control analysis data to obtain temperature control adjustment data includes:

[0094] Based on the towel temperature change data, obtain the temperature deviation data between the current towel temperature data and the user's expected temperature data; based on the ambient temperature influence coefficient, predict the first towel temperature change data affected by the ambient temperature change data over a preset time period; based on the towel humidity influence coefficient, predict the second towel temperature change data affected by the towel humidity change data over a preset time period.

[0095] The total compensation requirement is calculated based on the temperature deviation data, the temperature change data of the first towel, and the temperature change data of the second towel.

[0096] The formula for calculating the total compensation requirement is:

[0097] ΔTtotal=E+(-ΔTenv)+(-ΔThum).

[0098] Where E represents the temperature deviation data, ΔTenv represents the temperature change data of the first towel, ΔThum represents the temperature change data of the second towel, and ΔTtotal represents the total compensation requirement.

[0099] That is, total demand = making up for the current gap + offsetting future losses caused by the environment + offsetting future losses caused by humidity.

[0100] The heating power data is determined based on the total compensation requirement;

[0101] The heating power data is the temperature control adjustment data.

[0102] The working principle and technical effects of the above technical solution are as follows: This embodiment achieves a leap from analyzing the current situation to making future decisions. The system first calculates the deviation between the current temperature and the target temperature. Two influence coefficients are used as prediction models: the ambient temperature influence coefficient is used to predict the first towel temperature change data caused by the environmental cooling or heating effect in the future; the towel humidity influence coefficient is used to predict the cooling effect caused by water evaporation, i.e., the second towel temperature change data. The system does not only heat for the current deviation, but uses a formula to calculate the total compensation requirement. The meaning of this formula is: the total heat provided needs to simultaneously make up for the current gap and prepay future heat losses, thereby giving a precise heating power command at once and achieving forward-looking control.

[0103] It achieves true predictive control, effectively eliminating the temperature fluctuations and response lag problems that are difficult to avoid in traditional control methods, resulting in incredibly stable temperature control. By compensating for future heat losses in advance, it avoids the oscillating process of the system frequently heating up and then shutting down, laying the foundation for high efficiency and energy saving in principle. It significantly improves the user experience, allowing towels to quickly and stably reach and maintain the most suitable set temperature without noticeable temperature changes.

[0104] In one embodiment of the present invention, S2 includes:

[0105] Obtain the preset heating temperature threshold and the preset heating time information;

[0106] The heating time information includes the heating start time and the heating end time;

[0107] Temperature control adjustment commands are triggered based on the pre-set heating time information;

[0108] Temperature control is performed based on temperature control commands and temperature control data to control the temperature during the predetermined heating time.

[0109] During the temperature control process, the humidity of the towel is collected to obtain data on changes in towel humidity control.

[0110] The power adjustment mechanism is triggered based on changes in towel humidity control data.

[0111] The working principle and technical effects of the above solution are as follows: This method provides a dual triggering logic based on time and events. The system allows users to set a predetermined heating time, enabling unattended automated operation. After the start time is reached, the system executes temperature control based on temperature control adjustment data. Simultaneously, the system continuously monitors the changes in towel humidity control throughout the heating process. This data serves as a crucial trigger; when the system determines that the towel is nearing dryness (humidity reaches a specific threshold), it triggers a power adjustment mechanism, preparing for a smooth transition from high-intensity drying to heat preservation mode.

[0112] By combining the convenience of timed operation with intelligent sensing technology, this system meets users' regular usage needs while avoiding energy waste caused by forgetting to turn off the device. It automates and intelligently manages the control process, reducing manual intervention and improving ease of use. It provides precise decision-making support for seamless switching between different operating modes, ensuring energy is allocated as needed and optimizing energy efficiency.

[0113] In one embodiment of the present invention, S3 includes:

[0114] The working mode switching information is determined based on the power adjustment mechanism to obtain mode switching data; for example, the temperature control adjustment data is reduced from the high-intensity drying mode to the low-power heat preservation mode to obtain mode switching data; multiple preset working modes include preset quick-drying mode, constant temperature mode and energy-saving mode, etc.

[0115] Call the preset heating temperature threshold and its temperature control adjustment data corresponding to the mode switching data;

[0116] The heating program is started based on the preset heating temperature threshold and its temperature control adjustment data.

[0117] After the heating program starts, the towel temperature data is continuously compared with the preset heating temperature threshold.

[0118] When the difference between the towel temperature data and the preset heating temperature threshold is less than the preset difference range, the temperature compensation coefficient is obtained;

[0119] Power is fine-tuned using a temperature compensation coefficient, and mode heating data is obtained based on the power fine-tuning.

[0120] The heating data of the described mode is transmitted to the user's APP;

[0121] Before the heating program starts, a waterproof self-test analysis is performed on the electrical control components and wiring of the electric towel rack, and the self-test status indicator light is triggered based on the analysis results.

[0122] The working principle and technical effect of the above-mentioned technical solution are as follows: Based on the triggered power adjustment mechanism, the system determines the working mode to be switched (e.g., from quick-drying to heat preservation) and calls the preset parameters corresponding to that mode. During the heating process in the new mode, the system continuously compares the real-time temperature with the target threshold. When a slight deviation is detected, instead of simply switching the power on and off, it calculates a temperature compensation coefficient and fine-tunes the heating power. This fine-tuning mechanism makes the control extremely gentle and precise. In addition, this embodiment also integrates the crucial safety self-check process before heating starts, ensuring that the command is only executed after safety is confirmed.

[0123] It achieves smooth, imperceptible switching between operating modes, eliminating sudden temperature changes and enhancing user comfort. Through a power fine-tuning mechanism, it achieves extremely high temperature control accuracy, eliminating temperature overshoot or undershoot caused by thermal inertia and other factors. The tight coupling of performance control and safety control forms a reliable workflow with safety as the priority, greatly enhancing product safety and user trust.

[0124] In one embodiment of the present invention, before the heating program is started, a waterproof self-test analysis is performed on the electrical control components and circuits of the electric towel rack, and a self-test status indicator light is triggered based on the analysis results, including:

[0125] Before the heating program starts, the status parameters of the electronic control components are collected;

[0126] Confirm the component performance stability data and telescopic pole line stability data based on the aforementioned status parameters;

[0127] The airtightness self-test procedure of the waterproof structure is initiated based on the component performance stability data and the telescopic pole line stability data.

[0128] Determine the risk data of moisture intrusion based on the airtightness self-inspection procedure;

[0129] Power on the main circuit based on moisture intrusion risk data;

[0130] Based on the main circuit power-on information, a low-voltage current humid environment operation verification is performed, and a self-test status indicator light is triggered after the verification is passed.

[0131] The working principle and technical effect of the above technical solution are as follows: This method does not directly heat the device by applying electricity, but instead performs three levels of self-checks sequentially: checking whether the state of the electrical control components is stable; checking whether the electrical insulation of the mechanical moving parts (such as the telescopic pole wiring) is intact; and performing an airtightness self-check on the overall waterproof structure to assess the risk of moisture intrusion. Only after all three levels of self-checks pass can the system allow the main circuit to be powered on, and a final operational verification will be conducted under low-pressure conditions simulating a humid environment. Only after all three levels pass will the self-check status indicator light illuminate, providing the user with a clear safety reminder.

[0132] A multi-layered, progressive safety barrier has been established to prevent potential electrical short circuits and leakage before power is applied, achieving inherent safety. Clear, visual safety confirmation (indicator lights) is provided to users, addressing their concerns about the safety of bathroom appliances and enhancing product credibility. The product's safe startup procedure has been standardized, ensuring stable and reliable operation in any harsh, humid environment.

[0133] In one embodiment of the present invention, S4 includes:

[0134] Based on the heating mode data, a multi-segment nested telescopic rod is set for the electric towel rack;

[0135] The parameters of the multi-segment nested telescopic rod are adjusted to obtain the height adjustment data of the electric towel rack;

[0136] After adjusting the height, lock the electric towel rack in its correct position and obtain a heat distribution map;

[0137] The temperature of the electric towel rack is fine-tuned according to the heat distribution map until the temperature uniformity at each hanging point is less than the preset uniformity threshold, thus obtaining the drying and heating configuration data.

[0138] During the drying process, the towel's humidity is analyzed, and the heating is terminated based on the humidity analysis data.

[0139] The working principle and technical effects of the above solution are as follows: The method achieves deep synergy between software intelligence and hardware structure. When the user changes the physical form of the electric towel rack (such as extending the multi-segment nested telescopic rod to increase height) and locks it, the system automatically detects this change in form. Instead of continuing to use the original heating strategy, the system generates a corresponding heat distribution map based on the new physical structure. This map guides the system to make independent temperature fine-tuning adjustments to each heating area. For example, it appropriately increases the power in the extended area far from the main heat source to ensure that, under the changed form, all towels on the hanging points receive a uniform heating effect.

[0140] This design solves the common technical challenge of performance degradation caused by shape changes in deformable home appliances, ensuring a consistent performance experience regardless of the product's orientation. It achieves precise energy distribution in space, preventing localized overheating or underheating, thus improving drying efficiency while protecting towel fibers. The convenient retractable and foldable function is perfectly combined with professional drying capabilities, resulting in a product design that is both aesthetically pleasing and practical.

[0141] In one embodiment of the present invention, the step of analyzing the towel's humidity during the drying process and determining whether to terminate heating based on the humidity analysis data includes:

[0142] The towel humidity data is compared with a preset humidity threshold to obtain humidity comparison results;

[0143] Heating is adjusted based on the humidity comparison results until the towel humidity data is lower than the preset humidity threshold. Then, the cooling program is started until the towel humidity data reaches the target dryness range and heating is stopped.

[0144] After heating is stopped, the mode drying data is transmitted to the user's APP.

[0145] The working principle and technical effect of the above solution are as follows: The system continuously compares the monitored towel humidity data with a preset humidity threshold. When the towel is too damp, the system automatically starts heating. Throughout the drying process, the system continuously monitors the towel, and once it determines that the towel has reached the drying standard (towel humidity data is less than the drying threshold), it automatically terminates the heating process and sends a task completion notification to the user's app. This forms a closed-loop control system with the actual drying effect as the ultimate goal.

[0146] This represents a fundamental shift from timed drying to on-demand drying, completely eliminating energy waste and achieving ultimate energy savings. It ensures consistent drying results, guaranteeing the towels reach the user's desired level of dryness regardless of their initial moisture content, thus enhancing user satisfaction. The automatic notification function creates a complete user experience loop, eliminating the need for users to guess or check the drying progress, making the experience more convenient and intelligent.

[0147] According to one embodiment of the present invention, the system includes:

[0148] The temperature control module is used to perform a joint time-series influence analysis on the towels of the electric towel rack, considering the ambient temperature, towel temperature, and towel humidity. Based on the joint time-series influence analysis information, the temperature control is adjusted to obtain temperature control data.

[0149] The power adjustment module is used to obtain the preset heating temperature threshold and time, perform temperature control based on the temperature control adjustment data, monitor changes in towel humidity based on the temperature control, and trigger the power adjustment mechanism based on the monitoring information.

[0150] The mode switching module is used to determine the mode switching data according to the power adjustment mechanism, perform the heating program of the corresponding mode, monitor the heating deviation of the towel temperature, perform deviation compensation, and obtain the mode heating data.

[0151] The drying fine-tuning module is used to set up multi-segment nested telescopic rods and their heat distribution map for the electric towel rack according to the mode heating data, and to fine-tune the temperature according to the heat distribution map to obtain drying heating configuration data.

[0152] The working principle and technical effects of the above solution are as follows: By combining time-series influence analysis, the interaction between ambient temperature, towel temperature, and humidity over time is dynamically understood, and precise temperature adjustment commands (temperature control adjustment data) are generated based on this. Different power adjustment mechanisms are triggered according to preset conditions and real-time monitoring results (such as humidity changes); specific mode switching is executed, and real-time fine-tuning is performed during the heating process to compensate for deviations and ensure control accuracy. The software commands are linked with the hardware structure, and the physical shape is changed by adjusting the telescopic rod, while simultaneously optimizing heat distribution to ensure uniform and efficient drying results in any shape.

[0153] This invention represents a leap from single-parameter control to multi-factor coupled intelligent decision-making, significantly improving the foresight and accuracy of control. It forms a complete control closed loop encompassing perception, decision-making, execution, and calibration, enabling the electric towel rack to proactively adapt to complex and ever-changing usage environments, rather than passively responding. The deep integration of software intelligent control and hardware mechanical structure ensures a high degree of unity between convenience (extendable and foldable) and functionality (uniform drying), providing users with a stable and high-quality experience.

[0154] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A smart control method for an electric towel rack, characterized in that, The method includes: S1. Conduct a joint time-series influence analysis on the towels of the electric towel rack, considering the ambient temperature, towel temperature, and towel humidity. Based on the information from the joint time-series influence analysis, adjust the temperature control to obtain temperature control data. S2. Obtain the preset heating temperature threshold and time, perform temperature control based on temperature control adjustment data, monitor changes in towel humidity based on temperature control, and trigger the power adjustment mechanism based on the monitoring information. S3. Determine the mode switching data according to the power adjustment mechanism, perform the heating program of the corresponding mode and monitor the heating deviation of the towel temperature, perform deviation compensation, and obtain the mode heating data. S4. Based on the mode heating data, set up a multi-segment nested telescopic rod and its heat distribution map for the electric towel rack, and make fine-tuning of the temperature according to the heat distribution map to obtain drying and heating configuration data.

2. The intelligent control method for an electric towel rack according to claim 1, characterized in that, S1 includes: The ambient temperature and surface temperature of the electric heated towel rack are collected by temperature sensors to obtain ambient temperature data and towel temperature data. The humidity of the towel is collected using a humidity sensor to obtain the towel humidity data; A comprehensive temperature control analysis was performed on ambient temperature data, towel temperature data, and towel humidity data to obtain comprehensive temperature control analysis data. Temperature control is adjusted based on comprehensive temperature control analysis data to obtain temperature control adjustment data.

3. The intelligent control method for an electric towel rack according to claim 2, characterized in that, The process involves performing a comprehensive temperature control analysis on ambient temperature data, towel temperature data, and towel humidity data to obtain comprehensive temperature control analysis data, including: Based on preset time series information, the ambient temperature data, towel temperature data, and towel humidity data are time-series labeled to obtain time series data information; Based on the time-series data, the ambient temperature data, towel temperature data, and towel humidity data are divided into time series to obtain stage time-series data. Acquire environmental temperature change data, towel temperature change data, and towel humidity change data of adjacent time series data to obtain adjacent time series change data; Obtain the proportion of connected time-series change data in the total historical time-series change data, and obtain the stage change proportion coefficients of ambient temperature change data, towel temperature change data, and towel humidity change data. When the phase change ratio of the ambient temperature change data is 0, the ratio of the phase change ratios of the towel humidity change data and the towel temperature change data is used to obtain the towel humidity influence coefficient. The ratio of the percentage of changes in ambient temperature data to that in towel temperature data when the percentage of changes in towel humidity data is 0 is used to obtain the ambient temperature influence coefficient. The humidity influence coefficient and ambient temperature influence coefficient of the towel are the comprehensive temperature control analysis data.

4. The intelligent control method for an electric towel rack according to claim 2, characterized in that, The step of adjusting the temperature control based on comprehensive temperature control analysis data to obtain temperature control adjustment data includes: Based on the towel temperature change data, obtain the temperature deviation data between the current towel temperature data and the user's expected temperature data; based on the ambient temperature influence coefficient, predict the first towel temperature change data affected by the ambient temperature change data over a preset time period; based on the towel humidity influence coefficient, predict the second towel temperature change data affected by the towel humidity change data over a preset time period. The total compensation requirement is calculated based on the temperature deviation data, the temperature change data of the first towel, and the temperature change data of the second towel. The heating power data is determined based on the total compensation requirement; The heating power data is the temperature control adjustment data.

5. The intelligent control method for an electric towel rack according to claim 1, characterized in that, S2 includes: Obtain the preset heating temperature threshold and the preset heating time information; The heating time information includes the heating start time and the heating end time; Temperature control adjustment commands are triggered based on the pre-set heating time information; Temperature control is performed based on temperature control commands and temperature control data to control the temperature during the predetermined heating time. During the temperature control process, the humidity of the towel is collected to obtain data on changes in towel humidity control. The power adjustment mechanism is triggered based on changes in towel humidity control data.

6. The intelligent control method for an electric towel rack according to claim 1, characterized in that, S3 includes: The operating mode switching information is determined based on the power adjustment mechanism, and the mode switching data is obtained. Call the preset heating temperature threshold and its temperature control adjustment data corresponding to the mode switching data; The heating program is started based on the preset heating temperature threshold and its temperature control adjustment data. After the heating program starts, the towel temperature data is continuously compared with the preset heating temperature threshold. When the difference between the towel temperature data and the preset heating temperature threshold is less than the preset difference range, the temperature compensation coefficient is obtained; Power is fine-tuned using a temperature compensation coefficient, and mode heating data is obtained based on the power fine-tuning. The heating data of the described mode is transmitted to the user's APP; Before the heating program starts, a waterproof self-test analysis is performed on the electrical control components and wiring of the electric towel rack, and the self-test status indicator light is triggered based on the analysis results.

7. The intelligent control method for an electric towel rack according to claim 6, characterized in that, Before the heating program starts, a waterproof self-test analysis is performed on the electrical control components and wiring of the electric towel rack. Based on the analysis results, a self-test status indicator light is triggered, including: Before the heating program starts, the status parameters of the electronic control components are collected; Confirm the component performance stability data and telescopic pole line stability data based on the aforementioned status parameters; The airtightness self-test procedure of the waterproof structure is initiated based on the component performance stability data and the telescopic pole line stability data. Determine the risk data of moisture intrusion based on the airtightness self-inspection procedure; Power on the main circuit based on moisture intrusion risk data; Based on the main circuit power-on information, a low-voltage current humid environment operation verification is performed, and a self-test status indicator light is triggered after the verification is passed.

8. The intelligent control method for an electric towel rack according to claim 1, characterized in that, S4 includes: Based on the heating mode data, a multi-segment nested telescopic rod is set for the electric towel rack; The parameters of the multi-segment nested telescopic rod are adjusted to obtain the height adjustment data of the electric towel rack; After adjusting the height, lock the electric towel rack in its correct position and obtain a heat distribution map; The temperature of the electric towel rack is fine-tuned according to the heat distribution map until the temperature uniformity at each hanging point is less than the preset uniformity threshold, thus obtaining the drying and heating configuration data. During the drying process, the towel's humidity is analyzed, and the heating is terminated based on the humidity analysis data.

9. The intelligent control method for an electric towel rack according to claim 8, characterized in that, The process of analyzing towel humidity during drying and determining whether to terminate heating based on the humidity analysis data includes: The towel humidity data is compared with a preset humidity threshold to obtain humidity comparison results; Heating is adjusted based on the humidity comparison results until the towel humidity data is lower than the preset humidity threshold. Then, the cooling program is started until the towel humidity data reaches the target dryness range and heating is stopped. After heating is stopped, the mode drying data is transmitted to the user's APP.

10. An intelligent control system for an electric towel rack, characterized in that, The system includes: The temperature control module is used to perform a joint time-series influence analysis on the towels of the electric towel rack, considering the ambient temperature, towel temperature, and towel humidity. Based on the joint time-series influence analysis information, the temperature control is adjusted to obtain temperature control data. The power adjustment module is used to obtain the preset heating temperature threshold and time, perform temperature control based on the temperature control adjustment data, monitor changes in towel humidity based on the temperature control, and trigger the power adjustment mechanism based on the monitoring information. The mode switching module is used to determine the mode switching data according to the power adjustment mechanism, perform the heating program of the corresponding mode, monitor the heating deviation of the towel temperature, perform deviation compensation, and obtain the mode heating data. The drying fine-tuning module is used to set up multi-segment nested telescopic rods and their heat distribution map for the electric towel rack according to the mode heating data, and to fine-tune the temperature according to the heat distribution map to obtain drying heating configuration data.

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