An adaptive temperature control method and system based on motion state perception

Abstract

This invention discloses an adaptive temperature control method based on motion state perception, comprising the following steps: Step 1, the motion sensing module senses the user's motion intensity and transmits the motion intensity data to the main control module; Step 2, the main control module determines the motion intensity level based on the motion intensity data, matches a target heating level based on the motion intensity level, and sends a target heating level command to the heating module; Step 3, the heating module adjusts the temperature to the target temperature range according to the target heating level command. An adaptive temperature control system based on motion state perception is also disclosed, comprising a motion sensing module, a main control module, and a heating module; the temperature control system of this invention can automatically match the heating level temperature according to the motion intensity, so that the user does not need to manually adjust the temperature during exercise.

Description

Technical Field

[0001] This invention relates to the field of intelligent temperature control and wearable device technology, specifically to an adaptive temperature control method and system based on motion state perception. Background Technology

[0002] Currently, there are numerous patents related to electrically heated clothing, primarily focusing on heating materials such as carbon fiber and metal wire, power supply methods such as power banks, and basic temperature control such as manual multi-level switches and remote control via mobile apps. A few patents propose automatic temperature control based on ambient temperature or timing strategies. No patents have yet demonstrated a deep integration of high-precision motion state detection, such as quantifying motion amplitude using accelerometers, with real-time heating control algorithms to address the dynamic changes in physiological thermal demands during exercise.

[0003] Existing technologies can adaptively control temperature based on ambient temperature, but not on the state of motion. A common drawback of these products is that their temperature control logic is preset and static, and they cannot respond in real time and automatically to the user's current actual motion state. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to automatically adjust the heating strategy according to the user's real-time movement status.

[0005] This invention provides an adaptive temperature control method based on motion state perception, comprising the following steps;

[0006] Step 1: The motion sensing module is used to sense the user's motion intensity and transmit the motion intensity data to the main control module;

[0007] Step 2: The main control module determines the exercise intensity level based on the exercise intensity data, matches the target heating level based on the exercise intensity level, and sends the target heating level command to the heating module;

[0008] Step 3: The heating module can adjust the temperature to the target temperature range according to the target heating level command.

[0009] Furthermore, in step 2, the exercise intensity level includes static exercise intensity, low exercise intensity, and high exercise intensity; the target heating level includes low temperature level, medium temperature level, and high temperature level; the static exercise intensity is matched with the high temperature level, the low exercise intensity is matched with the medium temperature level, and the high exercise intensity is matched with the low temperature level.

[0010] Furthermore, it also includes step 21, in which the main control module is configured to detect changes in the exercise intensity level and determine whether the exercise intensity level changes abruptly; if the exercise intensity level does not change abruptly, it directly switches to the matching target heating level; and step 22, in which the exercise intensity level changes abruptly, it linearly switches to the matching target heating level.

[0011] Furthermore, in step 22, the main control module is configured to adjust the target heating level to the medium temperature level when the exercise intensity level changes abruptly, until the preset delay time ends.

[0012] Furthermore, in step 22, the main control module is configured to send the target heating level command to the heating module after a preset delay time when the exercise intensity level changes abruptly.

[0013] Furthermore, it also includes step 4, which involves adjusting the threshold for judging the exercise intensity level through the interactive module, and adjusting the temperature range corresponding to the target heating level.

[0014] On the other hand, the present invention also provides an adaptive temperature control system based on motion state perception, including a motion sensing module, a main control module and a heating module;

[0015] The motion sensing module is used to sense the user's motion intensity and transmit the motion intensity data to the main control module;

[0016] The main control module determines the exercise intensity level based on the exercise intensity data, matches the target heating level based on the exercise intensity level, and sends the target heating level command to the heating module.

[0017] The heating module can adjust the temperature to the target temperature range according to the target heating level command.

[0018] Furthermore, the motion sensing module includes an accelerometer for real-time acquisition of acceleration data of the clothing embedded in the adaptive temperature control system in three-dimensional space.

[0019] Furthermore, the heating module includes a heating drive circuit, a heating component, and a temperature sensor. The heating drive circuit is electrically connected to the main control module and the heating component, respectively. The temperature sensor is used to collect the temperature of the heating component and feed the temperature data back to the main control module.

[0020] Furthermore, the heating component includes a planar heating carbon nanotube film.

[0021] The present invention has the following beneficial effects:

[0022] 1) The temperature control system of the present invention can automatically match the heating level temperature according to the intensity of exercise, so that the user does not need to manually adjust the temperature during exercise.

[0023] 2) The temperature control system of the present invention can take into account the dynamic changes in its own heat generation under different exercise intensities, and intelligently maintain thermal comfort in all scenarios of "movement-station".

[0024] 3) The temperature control method of the present invention has simple logic and only requires simple computing resources such as a microcontroller to achieve linear temperature control.

[0025] 3) The temperature control system of the present invention can reduce the need to frequently put on and take off clothes due to inconvenience in temperature management. Attached Figure Description

[0026] Figure 1 This is a flowchart of one embodiment of the adaptive temperature control method disclosed in this invention;

[0027] Figure 2 This is a flowchart of one embodiment of the adaptive temperature control method disclosed in this invention;

[0028] Figure 3 This is a flowchart of one embodiment of the adaptive temperature control method disclosed in this invention;

[0029] Figure 4 This is a flowchart of one embodiment of the adaptive temperature control method disclosed in this invention;

[0030] Figure 5 This is a schematic diagram of the adaptive temperature control system disclosed in this invention. Detailed Implementation

[0031] The present invention will now be described in further detail with reference to the accompanying drawings and data. It should be understood that the embodiments are merely illustrative of the invention and are not intended to limit the scope of the invention in any way.

[0032] Example 1

[0033] like Figure 1 As shown, this invention discloses an adaptive temperature control method based on motion state perception, characterized by the following steps;

[0034] Step 1: The motion sensing module is used to sense the user's motion intensity and transmit the motion intensity data corresponding to the motion intensity to the main control module. In this step, the magnitude of the synthesized acceleration vector can be calculated after removing the influence of gravity from the triaxial raw data collected by the accelerometer, and its effective value (RMS) or peak value can be calculated within a time window (such as 1 second) to quantify and sense the user's motion intensity.

[0035] Step 2: The main control module determines the exercise intensity level based on the exercise intensity data, matches the target heating level based on the exercise intensity level, and sends the target heating level command to the heating module; In Step 2, the exercise intensity level includes static exercise intensity, low exercise intensity, and high exercise intensity; the target heating level includes low temperature, medium temperature, and high temperature; the static exercise intensity is matched with the high temperature level, the low exercise intensity is matched with the medium temperature level, and the high exercise intensity is matched with the low temperature level.

[0036] Step 3: The heating module can adjust the temperature to the target temperature range corresponding to the target heating level according to the target heating level instruction.

[0037] In this implementation, the "exercise intensity level - target heating level mapping relationship" can be a preset lookup table. For example, an exercise intensity value in the range of 0-1 corresponds to static exercise intensity, with a target heating level of high temperature and a target temperature range of approximately 35-38℃; a range of 1-3 corresponds to low exercise intensity, with a target temperature of approximately 32-35℃; and values ​​above 3 correspond to high exercise intensity, with a target temperature range below 32℃. Specific exercise intensity thresholds and temperature values ​​can be calibrated by the user via a mobile app.

[0038] "Motion state is the most direct and fastest feedforward signal for predicting changes in the human body's thermal demand." The accelerometer provides this feedforward signal. The system uses an algorithm to discretize the continuous acceleration signal into different motion intensity levels. Each level corresponds to a desired surface heating temperature (i.e., target temperature) preset based on a human thermal comfort model. Through feedback from the temperature sensor, a composite "feedforward + feedback" control system is formed, thereby adjusting the heating power in advance before the human body feels cold or hot, achieving proactive, smooth, and physiologically compliant temperature regulation.

[0039] like Figure 2 As shown, in one embodiment, step 21 is also included, wherein the main control module is configured to detect changes in the exercise intensity level and determine whether the exercise intensity level changes abruptly. If the exercise intensity level does not change abruptly, it will still directly switch to the matching target heating level.

[0040] And in step 22, when the exercise intensity level changes abruptly, it linearly switches to the matching target heating level. Linear switching refers to a non-direct switching method, such as gradually transitioning the current heating level to the target heating level or delaying the matching to the target heating level. Specifically, when it is detected that the exercise intensity level changes directly from static exercise intensity to high exercise intensity, or when the exercise intensity level changes from high exercise intensity to static exercise intensity, it is determined that a sudden change in exercise intensity has occurred.

[0041] Example 2

[0042] like Figure 3 As shown, in this embodiment, in step 21, if the main control module detects that the motion intensity level changes directly from static motion intensity to high motion intensity, it determines that a sudden change has occurred in the motion intensity level.

[0043] In step 22, the matching heating level for high-intensity exercise is adjusted from low temperature to medium temperature until the preset first delay time ends. When the preset first delay time ends, the high-intensity exercise automatically matches the corresponding low temperature according to the preset matching relationship, thereby achieving linear switching.

[0044] Similarly, in step 21, when the main control module detects a change in motion intensity from high to static, it determines that a sudden change in motion intensity has occurred. At this point, in step 22, the matching temperature for low motion intensity is adjusted from high temperature to medium temperature until the preset second delay time ends. When the preset second delay time ends, low motion intensity automatically matches the corresponding high temperature setting according to the preset matching relationship, thus achieving linear switching.

[0045] The first delay time can be the same as or different from the second delay time.

[0046] The advantage of this method is that when a user suddenly accelerates from a static exercise intensity, before the body has generated heat, switching directly to a low temperature setting will not be able to maintain warmth in the initial stage. Conversely, when a user suddenly switches from vigorous exercise to a static exercise intensity, the body is still generating heat due to metabolism. Switching directly to a high temperature setting will cause discomfort due to the cumulative heating in the initial stage.

[0047] Example 3

[0048] like Figure 4 As shown, in this embodiment, in step 21, the main control module detects that the motion intensity level changes directly from static motion intensity to high motion intensity, and then determines that a sudden change has occurred in the motion intensity level. At this time, the high motion intensity is matched with a low temperature setting. In step 22, the low temperature setting command is not immediately sent to the heating module, but is sent to the heating module after a preset third delay time.

[0049] Similarly, in step 21, when the main control module detects that the motion intensity level changes from high motion intensity to static motion intensity, it determines that a sudden change in motion intensity level has occurred. At this time, the static motion intensity matches the high temperature setting, but in step 22, the high temperature setting command is not immediately sent to the heating module. Instead, the target heating level command is sent to the heating module after a preset fourth delay time.

[0050] The third delay time can be the same as or different from the fourth delay time.

[0051] The advantage of this method is that when a user suddenly accelerates from a resting exercise intensity, before the body has generated heat, it initially maintains a high-temperature setting based on the resting exercise intensity for a period of time to keep warm, before switching to a low-temperature setting to adapt to the high exercise intensity. Similarly, when a user suddenly switches from vigorous exercise to a resting exercise intensity, since the body is still generating heat due to metabolism, it first maintains a low-temperature setting for a period of time before switching to a high-temperature setting.

[0052] Example 4

[0053] In this embodiment, an interactive step 4 is also included, which involves adjusting the judgment threshold of the exercise intensity level and adjusting the temperature range corresponding to the target heating level through the interactive module.

[0054] Example 5

[0055] like Figure 5 As shown, the present invention also discloses an adaptive temperature control system based on motion state perception, including a motion sensing module 1, a main control module 2 and a heating module 3; a power supply 5 is used to provide energy to the adaptive temperature control system.

[0056] The motion sensing module 1 is used to sense the user's motion intensity and transmit the motion intensity data to the main control module 2;

[0057] The main control module 2 determines the exercise intensity level based on the exercise intensity data, matches the target heating level based on the exercise intensity level, and sends the target heating level instruction to the heating module 3;

[0058] The heating module 3 can adjust the temperature to the target temperature range according to the target heating level command.

[0059] In this embodiment, the motion sensing module 1 includes an accelerometer, which is used to collect in real time the acceleration data of the clothing embedded in the adaptive temperature control system in three-dimensional space; in some cases, the acceleration data of the adaptive temperature control system in three-dimensional space can also be collected in real time. The motion sensing module 1 is not limited to an accelerometer and can be expanded to an inertial measurement unit (IMU) including a gyroscope and a geomagnetic sensor to more accurately identify specific movement modes such as walking, running, and cycling, and call up different temperature control curves.

[0060] By processing this data (such as calculating the magnitude and frequency of the synthetic acceleration vector or performing attitude recognition), motion intensity data can be quantified. The accelerometer can be an MPU6050.

[0061] In this embodiment, the heating module 3 includes a heating drive circuit 31, a heating component 32, and a temperature sensor 33. The heating drive circuit 31 is electrically connected to both the main control module 2 and the heating component 32. The temperature sensor 33 is used to collect the temperature of the heating component 32 and feed the temperature data back to the main control module 2. The temperature sensor 33 can be an NTC or DS18B20. The heating component 32 uses a carbon nanotube film, which is a planar heating element. Compared to traditional linear heating wires, it provides a more uniform and gentle heat distribution, avoiding localized overheating. The heating material is not limited to carbon nanotube films; any flexible thin-film material that can achieve uniform and rapid electrothermal conversion, such as graphene films or conductive polymer films, can be used as a substitute.

[0062] In this embodiment, the adaptive temperature control system also includes an interaction module 4, which sends the judgment threshold of the exercise intensity level and the target temperature range information corresponding to the target heating level to the main control module 2 via input devices such as physical buttons or a touch screen. The interaction module 4 can be a mobile terminal and is connected to the main control module 2 via a communication module such as Bluetooth.

[0063] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. An adaptive temperature control method based on motion state perception, characterized in that, Includes the following steps; Step 1: The motion sensing module is used to sense the user's motion intensity and transmit the motion intensity data to the main control module; Step 2: The main control module determines the exercise intensity level based on the exercise intensity data, matches the target heating level based on the exercise intensity level, and sends the target heating level command to the heating module; Step 3: The heating module can adjust the temperature to the target temperature range according to the target heating level command.

2. The adaptive temperature control method as described in claim 1, characterized in that, In step 2, the exercise intensity level includes static exercise intensity, low exercise intensity, and high exercise intensity; the target heating level includes low temperature, medium temperature, and high temperature. The static motion intensity is matched with the high temperature setting, the low motion intensity is matched with the medium temperature setting, and the high motion intensity is matched with the low temperature setting.

3. The adaptive temperature control method as described in claim 2, characterized in that, It also includes step 21, in which the main control module is configured to detect changes in the exercise intensity level and determine whether the exercise intensity level changes abruptly; if the exercise intensity level does not change abruptly, it directly switches to the matching target heating level; and step 22, in which the exercise intensity level changes abruptly, it linearly switches to the matching target heating level.

4. The adaptive temperature control method as described in claim 3, characterized in that, In step 22, the main control module is configured to adjust the target heating level to the medium temperature level when the exercise intensity level changes abruptly, until the preset delay time ends.

5. The adaptive temperature control method as described in claim 3, characterized in that, In step 22, the main control module is configured to send the target heating level command to the heating module after a preset delay time when the exercise intensity level changes abruptly.

6. The adaptive temperature control method as described in claim 1, characterized in that, It also includes step 4, which involves adjusting the threshold for judging the exercise intensity level through the interactive module, and adjusting the temperature range corresponding to the target heating level.

7. An adaptive temperature control system based on motion state perception, characterized in that, It includes a motion sensing module, a main control module, and a heating module; The motion sensing module is used to sense the user's motion intensity and transmit the motion intensity data to the main control module; The main control module determines the exercise intensity level based on the exercise intensity data, matches the target heating level based on the exercise intensity level, and sends the target heating level command to the heating module. The heating module can adjust the temperature to the target temperature range according to the target heating level command.

8. The adaptive temperature control system as described in claim 7, characterized in that, The motion sensing module includes an accelerometer for real-time acquisition of acceleration data of the clothing embedded in the adaptive temperature control system in three-dimensional space.

9. The adaptive temperature control system as described in claim 8, characterized in that, The heating module includes a heating drive circuit, a heating component, and a temperature sensor. The heating drive circuit is electrically connected to the main control module and the heating component, respectively. The temperature sensor is used to collect the temperature of the heating component and feed the temperature data back to the main control module.

10. The adaptive temperature control system as described in claim 8, characterized in that, The heating component includes a sheet-like carbon nanotube film that generates heat.

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