Human body temperature tracking type constant temperature control system and method for intelligent toilet lid
By working in conjunction with the pressure sensor at the bottom of the seat ring and the infrared sensing module, combined with the infrared body temperature sensor and the ambient temperature compensation algorithm, the initial seat ring temperature is dynamically recommended. Through PID algorithm and ceramic PTC heating element power adjustment technology, the problems of inaccurate temperature control, susceptibility to environmental interference, and insufficient safety of traditional smart toilet seats are solved, thus achieving personalized temperature control and safety assurance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHENGZHOU MUHE ELECTRONIC PROD CO LTD
- Filing Date
- 2026-01-27
- Publication Date
- 2026-04-21
AI Technical Summary
Traditional smart toilet seats cannot dynamically and accurately control the temperature based on individual body temperature differences. Body temperature measurement is easily affected by environmental interference, lacks historical data analysis, has poor temperature control stability, and lacks a sound overheating safety mechanism.
The seat ring uses a pressure sensor at the bottom of the seat ring and an infrared sensing module to work together. By monitoring changes in pressure and the state of infrared signal blockage in real time, combined with an infrared body temperature sensor inside the seat ring and an ambient temperature compensation algorithm, it dynamically recommends the initial seat ring temperature. It also uses a PID algorithm and ceramic PTC heating element power adjustment technology for precise temperature control, and employs a dual temperature threshold detection mechanism for safety assurance.
It achieves dynamic and precise temperature control based on individual body temperature differences, improving the accuracy of body temperature measurement. It also provides intelligent recommendations based on historical data, ensuring the stability and safety of temperature control, avoiding the risk of overheating, and enhancing user comfort and safety.
Smart Images
Figure CN121900537A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of intelligent bathroom technology, specifically relating to a human body temperature tracking constant temperature control system and method for intelligent toilet seats. Background Technology
[0002] In the field of smart bathroom technology, smart toilet seats, as important products for improving quality of life, have received much attention for their comfort and safety. Seat temperature control is one of the key factors affecting user experience. Traditional smart toilet seats have a relatively simple thermostatic control method, usually adjusting only according to a preset fixed temperature value, failing to dynamically adapt to individual user differences and actual usage scenarios. For example, different users have different basal body temperatures, and human body temperature changes in real time with ambient temperature, physical condition, and other factors. Traditional methods cannot meet diverse needs, leading some users to feel that the seat temperature is too high or too low, significantly reducing comfort. Furthermore, in terms of temperature measurement, traditional methods are easily affected by ambient temperature, resulting in insufficient measurement accuracy and an inability to accurately obtain the user's true body temperature, thus affecting the precision of temperature control. Moreover, in terms of temperature control strategies, there is a lack of comprehensive analysis of historical data, and the inability to make intelligent recommendations based on user habits often requires users to frequently manually adjust the temperature level, which is cumbersome. In addition, in terms of safety, the existing smart toilet seats lack adequate mechanisms for detecting and responding to overheating risks. In the event of an abnormal situation, such as a malfunction of the heating element or prolonged heating, the system may not be able to trigger an alarm and take power-off protection measures in a timely and effective manner, posing a significant safety hazard and potentially causing burns or other injuries to users.
[0003] Existing technologies have shortcomings such as being unable to dynamically adapt the temperature based on individual body temperature differences, being susceptible to environmental interference leading to poor accuracy in measurement, lacking historical data analysis resulting in unintelligent control, and lacking a sound overheat risk detection and protection mechanism, making it difficult to balance comfort and safety. Summary of the Invention
[0004] To address the aforementioned issues, this invention provides a human body temperature tracking-based constant temperature control system and method for smart toilet seats. This system solves the problems of traditional smart toilet seats, such as the inability to dynamically and accurately control temperature based on individual body temperature differences, susceptibility to environmental interference in temperature measurement, inability to intelligently recommend temperatures based on historical data, poor temperature control stability, and the lack of a robust overheating safety mechanism. To achieve the above objectives, this invention adopts the following technical solution: The human body temperature tracking-based constant temperature control method for smart toilet seats includes the following steps: A pressure sensor at the bottom of the seat ring works in conjunction with an infrared sensing module to extract human contact characteristic signals by real-time monitoring of pressure changes and infrared signal obstruction, thus determining the activation of the body temperature tracking mode; an infrared body temperature sensor inside the seat ring scans the skin surface temperature every five seconds, uses an ambient temperature compensation algorithm to correct the measured value, extracts the user's real-time body temperature data, and obtains a personalized body temperature baseline model; cross-analyzes ambient temperature and historical body temperature data, dynamically recommends an initial seat ring temperature using a PID algorithm, integrates the user's manual fine-tuning commands with the system's recommended values, extracts temperature parameters, and obtains a multi-level temperature control scheme; the PID controller compares the difference between the target temperature and the actual temperature in real time, uses ceramic PTC heating element power adjustment technology to convert the difference signal into a heating element input power command, extracts dynamic control parameters, and obtains a stable seat ring temperature control effect; a dual temperature threshold detection mechanism is used to extract overheating risk signals by real-time monitoring of seat ring temperature and heating time, triggering an alarm module and power-off protection for abnormal data, thus ensuring the safe operation of the equipment.
[0005] Furthermore, the method employs a pressure sensor at the bottom of the seat ring and an infrared sensing module working in tandem. By monitoring changes in pressure values and the state of infrared signal obstruction in real time, it extracts human contact characteristic signals to obtain a determination result for activating the body temperature tracking mode. This includes the following steps: deploying a pressure sensor and a distributed infrared sensing module in tandem; monitoring changes in pressure values on the seat ring surface in real time at a frequency of ten times per second using the pressure sensor; continuously scanning the infrared signal intensity in the space above the seat ring using the infrared sensing module; when the pressure value suddenly increases and exceeds the human weight threshold, or when the infrared signal is continuously obstructed for more than two seconds, outputting a signal for data fusion processing; extracting the spatiotemporal characteristic parameters of human contact; obtaining valid information on the user's seated status; and obtaining a clear determination result for activating the body temperature tracking control mode.
[0006] Furthermore, the process of scanning the skin surface temperature every five seconds using an infrared body temperature sensor inside the seat ring, correcting the measured value with an environmental temperature compensation algorithm, extracting the user's real-time body temperature data, and obtaining a personalized body temperature benchmark model includes the following steps: continuously scanning the user's skin surface temperature at a stable frequency of once every five seconds using an infrared body temperature sensor placed inside the seat ring; employing an environmental temperature compensation algorithm to comprehensively consider real-time environmental temperature data and the original sensor measurement values, accurately correcting the interference of environmental factors on body temperature measurement; performing in-depth analysis and processing on the corrected data to extract real-time body temperature data that truly reflects the user's physical condition, obtaining accurate and reliable body temperature information after rigorous calibration, and obtaining a personalized body temperature benchmark module that fits the user's individual characteristics.
[0007] Furthermore, the method employs cross-analysis of ambient temperature and historical body temperature data, dynamically recommends an initial seat temperature using a PID algorithm, and integrates user-manual fine-tuning commands with system-recommended values to extract temperature parameters, resulting in a multi-level temperature control scheme. This includes the following steps: the PID control algorithm comprehensively models ambient temperature fluctuations, individual body temperature differences, and seasonal variations to dynamically generate a recommended initial seat temperature; the user-inputted manual fine-tuning commands via the control panel are weighted and integrated with the recommended values to extract temperature control parameters, obtaining a constant temperature target value that accurately matches the user's physiological characteristics; and based on different usage scenarios, the target value is mapped to three adjustable levels: economy, comfort, and warmth, resulting in a multi-level temperature control scheme.
[0008] Furthermore, the step of using a PID controller to compare the difference between the target temperature and the actual temperature in real time, employing ceramic PTC heating element power regulation technology to convert the difference signal into a heating element input power command, extracting dynamic control parameters, and obtaining a stable control effect for the seat ring temperature includes the following steps: The PID controller compares the difference signal between the preset target temperature and the actual seat ring temperature in real time with a millisecond-level response speed, employing graded power regulation technology based on ceramic PTC heating elements; the temperature deviation value is converted into a precise heating element power regulation command through proportional-integral-derivative operations, and the power command is dynamically optimized; control parameters such as heating rate and steady-state error are extracted, a power output curve conforming to heat conduction characteristics is obtained, and closed-loop feedback correction is used to obtain a stable control effect where the seat ring temperature fluctuation range is controlled within ±0.5℃.
[0009] Furthermore, the dual-temperature threshold detection mechanism, by real-time monitoring of the seat ring temperature and heating time, extracts overheating risk signals, triggers alarm modules and power-off protection based on abnormal data, and obtains equipment operation safety assurance results. This includes the following steps: A dual-temperature threshold graded detection mechanism is employed, with a high-sensitivity temperature sensor positioned inside the seat ring to continuously monitor the surface temperature of the seat ring and the continuous working time of the heating element. When the temperature exceeds the first-level safety threshold, a preliminary overheating risk signal is extracted and an early warning program is initiated. When the temperature exceeds the second-level danger threshold and the heating time exceeds the limit, the abnormal data is immediately converted into a high-priority trigger command, simultaneously activating the audible and visual alarm module and the electromagnetic power-off protection device. Through dual verification of hardware circuitry and software logic, a safety protection execution instruction set is obtained, resulting in equipment operation safety assurance results.
[0010] The second aspect of this invention provides a human body temperature tracking thermostatic control system for a smart toilet seat. This system includes the following modules: a body temperature tracking module, which uses a pressure sensor at the bottom of the seat ring and an infrared sensing module to work together, and extracts human contact characteristic signals by real-time monitoring of pressure changes and infrared signal obstruction status to obtain a determination result for activating the body temperature tracking mode; a calibration processing module, which scans the skin surface temperature every five seconds using an infrared body temperature sensor inside the seat ring, corrects the measured value using an ambient temperature compensation algorithm, extracts the user's real-time body temperature data, and obtains a personalized body temperature baseline model; and an intelligent setting module, which uses ambient temperature and historical body temperature data for cross-referencing... The system employs a cross-analysis approach, dynamically recommending an initial seat ring temperature using a PID algorithm. This integrates user-manual fine-tuning commands with system recommendations to extract temperature parameters, resulting in a multi-level temperature control scheme. A closed-loop control module compares the target and actual temperatures in real-time using a PID controller. Employing ceramic PTC heating element power regulation technology, it converts the difference signal into heating element input power commands, extracting dynamic control parameters to achieve stable seat ring temperature control. An anomaly monitoring module utilizes a dual-temperature threshold detection mechanism. By monitoring seat ring temperature and heating time in real-time, it extracts overheating risk signals, triggering alarms and power-off protection based on abnormal data, ensuring safe equipment operation.
[0011] A third aspect of the present invention provides a human body temperature tracking thermostatic control device for a smart toilet seat, the human body temperature tracking thermostatic control device for a smart toilet seat comprising a memory and at least one processor, the memory storing instructions; the at least one processor invokes the instructions in the memory to cause the human body temperature tracking thermostatic control device for a smart toilet seat to perform the steps of the human body temperature tracking thermostatic control method for a smart toilet seat as described in any of the preceding claims.
[0012] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions, characterized in that, when executed by a processor, the instructions implement the steps of the human body temperature tracking thermostatic control method for a smart toilet seat as described in any of the preceding claims.
[0013] In the technical solution provided by this invention, a pressure sensor at the bottom of the seat ring and an infrared sensing module work together to extract human contact characteristic signals by real-time monitoring of pressure value changes and infrared signal obstruction status, thereby determining the activation of the body temperature tracking mode. An infrared body temperature sensor on the inner side of the seat ring scans the skin surface temperature every five seconds, and an ambient temperature compensation algorithm corrects the measured values, extracting real-time user body temperature data to obtain a personalized body temperature baseline model. Cross-analysis of ambient temperature and historical body temperature data is used, and a PID algorithm dynamically recommends the initial seat ring temperature. The user's manual fine-tuning commands are merged with the system's recommended values to extract temperature parameters, resulting in a multi-level temperature control scheme. The PID controller compares the difference between the target temperature and the actual temperature in real time, and ceramic PTC heating element power adjustment technology converts the difference signal into heating element input power commands, extracting dynamic control parameters to achieve stable seat ring temperature control. A dual temperature threshold detection mechanism is employed to extract overheat risk signals by real-time monitoring of seat ring temperature and heating time, triggering an alarm module and power-off protection for abnormal data, ensuring safe operation of the equipment. This invention solves the problems of traditional smart toilet seats, such as the inability to dynamically and accurately control temperature based on individual body temperature differences, the susceptibility of body temperature measurement to environmental interference, the inability to intelligently recommend temperatures based on historical data, poor temperature control stability, and the lack of a sound overheating safety mechanism. Attached Figure Description
[0014] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention.
[0015] Figure 1 This is a schematic diagram of the first embodiment of a human body temperature tracking constant temperature control method for a smart toilet seat according to an embodiment of the present invention.
[0016] Figure 2 This is a schematic diagram of a second embodiment of a human body temperature tracking constant temperature control method for a smart toilet seat according to an embodiment of the present invention.
[0017] Figure 3 This is a schematic diagram of a third embodiment of a human body temperature tracking constant temperature control method for a smart toilet seat according to the present invention.
[0018] Figure 4 This is a schematic diagram of the fourth embodiment of a human body temperature tracking constant temperature control method for a smart toilet seat according to the present invention.
[0019] Figure 5 This is a schematic diagram of the fifth embodiment of a human body temperature tracking constant temperature control method for a smart toilet seat according to the present invention. Detailed Implementation
[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0021] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of the stated features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.
[0022] A method for human body temperature tracking-based thermostatic control for smart toilet seats, such as Figure 1 As shown, the process includes the following steps: A pressure sensor at the bottom of the seat ring works in conjunction with an infrared sensing module to extract human contact characteristic signals by real-time monitoring of pressure changes and infrared signal obstruction, thus determining the activation of the body temperature tracking mode; an infrared body temperature sensor inside the seat ring scans the skin surface temperature every five seconds, uses an ambient temperature compensation algorithm to correct the measured value, extracts the user's real-time body temperature data, and obtains a personalized body temperature baseline model; cross-analysis of ambient temperature and historical body temperature data is used to dynamically recommend an initial seat ring temperature using a PID algorithm, integrating the user's manual fine-tuning commands with the system's recommended values to extract temperature parameters and obtain a multi-level temperature control scheme; the PID controller compares the difference between the target temperature and the actual temperature in real time, uses ceramic PTC heating element power adjustment technology to convert the difference signal into a heating element input power command, extracts dynamic control parameters, and obtains a stable seat ring temperature control effect; a dual temperature threshold detection mechanism is used to extract overheat risk signals by real-time monitoring of seat ring temperature and heating time, triggering an alarm module and power-off protection for abnormal data, thus ensuring the safe operation of the equipment.
[0023] like Figure 2 As shown, in this embodiment, a pressure sensor and a distributed infrared sensing module are deployed in a coordinated manner. The pressure sensor monitors the change in pressure value on the seat ring surface in real time at a frequency of ten times per second, and the infrared sensing module continuously scans the infrared signal intensity in the space above the seat ring. When the pressure value suddenly increases and exceeds the human body weight threshold, or when the infrared signal is continuously blocked for more than two seconds, the output signal is processed for data fusion. The spatiotemporal characteristic parameters of human contact are extracted to obtain the effective status information of the user being seated, and a clear determination result is obtained to start the body temperature tracking control mode.
[0024] The pressure sensor monitors seat pressure changes at a high frequency of ten times per second, quickly capturing pressure dynamics. Combined with a distributed infrared sensing module that continuously scans infrared signal intensity, it provides multi-dimensional perception of human contact. When the pressure suddenly increases beyond the body weight threshold and the infrared signal is continuously blocked for more than two seconds, the output signal is fused and processed to accurately extract the spatiotemporal characteristic parameters of human contact. This method effectively avoids potential misjudgments from a single sensor, accurately obtaining valid information about the user's seated state, thereby promptly and clearly activating the body temperature tracking control mode.
[0025] like Figure 3 As shown, in this embodiment, an infrared body temperature sensor is placed inside the seat ring to continuously scan the user's skin surface temperature at a stable frequency of once every five seconds. An environmental temperature compensation algorithm is used to comprehensively consider real-time environmental temperature data and the original sensor measurement values to accurately correct the interference of environmental factors on body temperature measurement. The corrected data is then subjected to in-depth analysis and processing to extract real-time body temperature data that truly reflects the user's physical condition. This results in accurate and reliable body temperature information after rigorous calibration, leading to a personalized body temperature benchmark module that fits the individual characteristics of the user.
[0026] An infrared body temperature sensor is placed inside the seat ring, continuously scanning the user's skin surface temperature every five seconds to capture changes in body temperature promptly. An environmental temperature compensation algorithm is employed to accurately correct for interference from environmental factors, significantly improving measurement accuracy. Through in-depth analysis of the corrected data, real-time body temperature data that truly reflects the user's physical condition can be extracted, obtaining accurate and reliable temperature information. Based on this, a personalized body temperature baseline module is built to fit the individual characteristics of each user.
[0027] like Figure 4 As shown in this embodiment, the PID control algorithm comprehensively models the fluctuations in ambient temperature, individual body temperature differences, and seasonal variation patterns to dynamically generate an initial recommended seat temperature value. The manual fine-tuning commands input by the user through the control panel are weighted and fused with the recommended value to extract temperature control parameters and obtain a constant temperature target value that accurately matches the user's physiological characteristics. According to the needs of different usage scenarios, the target value is mapped to three adjustable levels: economy, comfort, and warmth, resulting in a multi-level temperature control scheme.
[0028] The PID control algorithm integrates environmental temperature fluctuations, individual body temperature differences, and seasonal variations into a model, dynamically generating a realistic initial seat temperature recommendation value that fully considers various influencing factors. By weightedly fusing user-manual fine-tuning commands with the recommended value, it accurately extracts temperature control parameters to obtain a constant temperature target value that matches the user's physiological characteristics, meeting personalized needs. Furthermore, mapping the target value to three levels—economic, comfortable, and warm—allows for flexible switching according to different usage scenarios, improving user comfort while also addressing energy-saving requirements.
[0029] The specific PID control algorithm is a widely used closed-loop feedback control algorithm, consisting of three parts: proportional (P), integral (I), and derivative (D). The proportional part can quickly respond to errors, adjusting the control quantity proportionally to reduce deviation; the integral part can eliminate static errors and improve control accuracy, but may cause overshoot; the derivative part can predict error change trends, adjust in advance, suppress overshoot, and enhance system stability. It does not require a precise system model and, with its advantages of simplicity, ease of adjustment, and strong adaptability, achieves precise and stable control of parameters such as temperature, speed, and position in many fields, including industrial control and smart homes.
[0030] like Figure 5 As shown, in this embodiment, the difference signal between the preset target temperature and the actual seat temperature is compared in real time with a millisecond-level response speed by a PID controller. A graded power regulation technology based on ceramic PTC heating elements is adopted. The temperature deviation value is converted into a precise heating element power regulation command through proportional-integral-derivative operation, and the power command is dynamically optimized. The control parameters of heating rate and steady-state error are extracted to obtain a power output curve that conforms to the heat conduction characteristics. Through closed-loop feedback correction, a stable control effect is obtained in which the seat temperature fluctuation range is controlled within ±0.5℃.
[0031] The PID controller compares the target and actual temperature differences in real time with a millisecond-level response speed, quickly capturing temperature changes and laying the foundation for precise control. Based on the graded power regulation technology of the ceramic PTC heating element, combined with proportional-integral-derivative operations, temperature deviations can be accurately converted into heating element power regulation commands. These commands are dynamically optimized, key control parameters are extracted, and a power output curve conforming to heat conduction characteristics is obtained. Closed-loop feedback correction then strictly controls seat temperature fluctuations within ±0.5℃, greatly improving user comfort.
[0032] In this embodiment, a dual-temperature threshold graded detection mechanism is adopted. A high-sensitivity temperature sensor is arranged inside the seat ring to continuously monitor the surface temperature of the seat ring and the continuous working time of the heating element. When the temperature exceeds the first-level safety threshold, a preliminary overheating risk signal is extracted and an early warning program is initiated. When the temperature exceeds the second-level danger threshold and the heating time exceeds the limit, the abnormal data is immediately converted into a high-priority trigger command, which simultaneously activates the audible and visual alarm module and the electromagnetic power-off protection device. Through dual verification of hardware circuits and software logic, a set of safety protection execution instructions is obtained, resulting in a result that ensures the safe operation of the equipment.
[0033] Employing a dual-temperature threshold tiered detection mechanism, a high-sensitivity temperature sensor is placed inside the seat ring to continuously and accurately monitor the seat ring temperature and the heating element's operating time. When the temperature exceeds the first-level safety threshold, a preliminary overheating risk signal is promptly extracted and an early warning is issued, allowing users to be aware of potential risks in advance. If the second-level danger threshold is exceeded and the heating time is exceeded, the abnormal data is quickly converted into a high-priority instruction, simultaneously activating the audible and visual alarm and power-off protection device. Dual verification through hardware circuitry and software logic ensures the accurate execution of safety protection instructions.
[0034] This invention also provides a human body temperature tracking thermostatic control system for a smart toilet seat, comprising the following modules: a body temperature tracking module, which uses a pressure sensor at the bottom of the seat ring and an infrared sensing module to work together to extract human contact characteristic signals by real-time monitoring of pressure value changes and infrared signal obstruction status, thereby obtaining a determination result for activating the body temperature tracking mode; a calibration processing module, which uses an infrared body temperature sensor inside the seat ring to scan the skin surface temperature at a frequency of once every five seconds, uses an ambient temperature compensation algorithm to correct the measured value, extracts the user's real-time body temperature data, and obtains a personalized body temperature benchmark model; and an intelligent setting module, which uses cross-analysis of ambient temperature and historical body temperature data. The system dynamically recommends an initial seat ring temperature using a PID algorithm, integrates user-manual fine-tuning commands with system recommendations, extracts temperature parameters, and obtains a multi-level temperature control scheme. A closed-loop control module compares the target temperature with the actual temperature in real time using a PID controller. Employing ceramic PTC heating element power regulation technology, it converts the difference signal into a heating element input power command, extracts dynamic control parameters, and achieves stable seat ring temperature control. An anomaly monitoring module uses a dual-temperature threshold detection mechanism to monitor seat ring temperature and heating time in real time, extracting overheat risk signals. Abnormal data triggers alarm modules and power-off protection, ensuring safe equipment operation.
[0035] This invention also provides a human body temperature tracking thermostat control device for a smart toilet seat. This device may further include one or more power supplies, one or more wired or wireless network interfaces, one or more input / output interfaces, and / or one or more operating systems, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that the structure of the human body temperature tracking thermostat control device for a smart toilet seat does not constitute a limitation on the computer device provided by this invention, and may include more or fewer components than shown in the figures, or combine certain components, or have different component arrangements.
[0036] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the various steps of the human body temperature tracking constant temperature control method for smart toilet seats provided in the above embodiments.
[0037] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.
Claims
1. A human body temperature tracking-based constant temperature control method for smart toilet seats, characterized in that, The human body temperature tracking-based constant temperature control method for smart toilet seats includes the following steps: The seat ring bottom pressure sensor and infrared sensing module work together to monitor changes in pressure value and infrared signal blockage in real time, extract human contact characteristic signals, and obtain the determination result of activating body temperature tracking mode. The infrared body temperature sensor inside the seat ring scans the skin surface temperature once every five seconds. An ambient temperature compensation algorithm is used to correct the measured value, extract the user's real-time body temperature data, and obtain a personalized body temperature baseline model. By cross-analyzing ambient temperature and historical body temperature data, the initial seat temperature is dynamically recommended through a PID algorithm. The user's manual fine-tuning commands are merged with the system's recommended values to extract temperature parameters and obtain a multi-level temperature control scheme. By comparing the difference between the target temperature and the actual temperature in real time using a PID controller, and employing ceramic PTC heating element power regulation technology, the difference signal is converted into a power input command for the heating element, and dynamic control parameters are extracted to achieve a stable temperature control effect for the seat ring. A dual temperature threshold detection mechanism is adopted. By monitoring the seat ring temperature and heating time in real time, overheat risk signals are extracted, and abnormal data triggers the alarm module and power failure protection to obtain the result of equipment operation safety assurance.
2. The method for human body temperature tracking constant temperature control for a smart toilet seat according to claim 1, characterized in that, The method employs a pressure sensor at the bottom of the seat ring and an infrared sensing module working together to monitor changes in pressure and infrared signal blockage in real time, extract human contact characteristic signals, and obtain a determination result for activating the body temperature tracking mode. This includes the following steps: The pressure sensor and the distributed infrared sensing module are deployed in a coordinated manner. The pressure sensor monitors the change of pressure value on the surface of the seat ring in real time at a frequency of ten times per second, and the infrared sensing module continuously scans the infrared signal intensity in the space above the seat ring. When the pressure value suddenly increases and exceeds the human body weight threshold, and the infrared signal is continuously blocked for more than two seconds, the output signal undergoes data fusion processing. Extract the spatiotemporal characteristic parameters of human contact, obtain the effective status information of the user being seated, and obtain a clear determination result for activating the body temperature tracking control mode.
3. The human body temperature tracking-based constant temperature control method for a smart toilet seat according to claim 1, characterized in that, The process of scanning skin surface temperature every five seconds using an infrared body temperature sensor inside the seat ring, correcting the measured value using an ambient temperature compensation algorithm, extracting the user's real-time body temperature data, and obtaining a personalized body temperature baseline model includes the following steps: By placing an infrared body temperature sensor inside the seat ring, the user's skin surface temperature is continuously scanned at a stable frequency of once every five seconds. An ambient temperature compensation algorithm is adopted, which comprehensively considers real-time ambient temperature data and original sensor measurements to accurately correct the interference of environmental factors on body temperature measurement. The corrected data is subjected to in-depth analysis and processing to extract real-time body temperature data that truly reflects the user's physical condition. Accurate and reliable body temperature information is obtained after strict calibration, resulting in a personalized body temperature benchmark module that fits the individual characteristics of the user.
4. The human body temperature tracking constant temperature control method for a smart toilet seat according to claim 1, characterized in that, The method involves cross-analysis of ambient temperature and historical body temperature data, dynamically recommending an initial seat temperature using a PID algorithm, and integrating user-manual fine-tuning commands with system recommendations to extract temperature parameters, resulting in a multi-level temperature control scheme. This includes the following steps: The PID control algorithm comprehensively models ambient temperature fluctuations, individual body temperature differences, and seasonal variations to dynamically generate recommended initial seat temperature values. The manual fine-tuning commands entered by the user through the control panel are weighted and fused with the recommended values to extract temperature control parameters and obtain a constant temperature target value that accurately matches the user's physiological characteristics. Based on the needs of different usage scenarios, the target value is mapped to three adjustable levels: economy, comfort, and warmth, resulting in a multi-level temperature control scheme.
5. A human body temperature tracking-based constant temperature control method for a smart toilet seat according to claim 1, characterized in that, The process involves using a PID controller to compare the difference between the target temperature and the actual temperature in real time, employing ceramic PTC heating element power regulation technology to convert the difference signal into a power input command for the heating element, extracting dynamic control parameters, and achieving stable temperature control of the seat ring. This includes the following steps: The PID controller compares the difference between the preset target temperature and the actual seat temperature in real time with a millisecond-level response speed, and adopts a graded power adjustment technology based on ceramic PTC heating elements. The temperature deviation value is converted into a precise heating element power adjustment command through proportional-integral-derivative calculation, and the power command is dynamically optimized. By extracting control parameters such as heating rate and steady-state error, a power output curve conforming to heat conduction characteristics is obtained. Through closed-loop feedback correction, a stable control effect is achieved, with the seat ring temperature fluctuation range controlled within ±0.5℃.
6. A human body temperature tracking-based constant temperature control method for a smart toilet seat according to claim 1, characterized in that, The dual temperature threshold detection mechanism, by real-time monitoring of seat ring temperature and heating time, extracts overheat risk signals, triggers alarm modules and power-off protection based on abnormal data, and obtains equipment operation safety assurance results, including the following steps: A dual temperature threshold graded detection mechanism is adopted, and a high-sensitivity temperature sensor is placed inside the seat ring to continuously monitor the surface temperature of the seat ring and the continuous working time of the heating element in real time. When the temperature exceeds the first-level safety threshold, a preliminary overheating risk signal is extracted and an early warning program is initiated. When the temperature exceeds the second-level danger threshold and the heating time exceeds the limit, the abnormal data is immediately converted into a high-priority trigger command, and the audible and visual alarm module and electromagnetic power-off protection device are activated simultaneously. By verifying both hardware circuitry and software logic, a set of security protection execution instructions is obtained, resulting in a guarantee of equipment operational safety.
7. A human body temperature tracking thermostatic control system for a smart toilet seat, characterized in that, The human body temperature tracking constant temperature control system for smart toilet seats includes the following modules: The body temperature tracking module is used to work in conjunction with the pressure sensor at the bottom of the seat ring and the infrared sensing module. By monitoring the changes in pressure value and the state of infrared signal blockage in real time, it extracts the human body contact characteristic signal and obtains the determination result of activating the body temperature tracking mode. The calibration processing module is used to scan the skin surface temperature every five seconds using an infrared body temperature sensor inside the seat ring, correct the measured value using an ambient temperature compensation algorithm, extract the user's real-time body temperature data, and obtain a personalized body temperature baseline model. The intelligent setting module is used to cross-analyze ambient temperature and historical body temperature data, dynamically recommend the initial seat temperature through PID algorithm, integrate user manual fine-tuning commands with system recommended values, extract temperature parameters, and obtain a multi-level temperature control scheme. The closed-loop control module is used to compare the difference between the target temperature and the actual temperature in real time through the PID controller. It adopts ceramic PTC heating element power regulation technology to convert the difference signal into the heating element input power command, extract dynamic control parameters, and obtain a stable control effect for the seat ring temperature. The anomaly monitoring module employs a dual temperature threshold detection mechanism to extract overheat risk signals by real-time monitoring of seat ring temperature and heating time. Abnormal data triggers the alarm module and power-off protection, thus ensuring the safe operation of the equipment.
8. A human body temperature tracking thermostatic control device for smart toilet seats, characterized in that, The human body temperature tracking thermostatic control device for a smart toilet seat includes a memory and at least one processor. The memory stores instructions, and the at least one processor invokes the instructions in the memory to cause the human body temperature tracking thermostatic control device for a smart toilet seat to perform the steps of the human body temperature tracking thermostatic control method for a smart toilet seat as described in any one of claims 1-6.
9. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the various steps of the human body temperature tracking constant temperature control method for smart toilet seats as described in any one of claims 1-6.