Wearable device and intelligent temperature control method of wearable device

Abstract

The invention provides wearable equipment and an intelligent temperature control method of the wearable equipment. Comprising a main control module, a thermistor, a heating body, a circuit connection structure, a power supply connector and a packaging module. The thermistor is used for detecting the temperature of the heating body, the circuit connecting structure is used for connecting the main control module, the thermistor, the heating body and the power supply connector, the packaging module is used for wrapping the thermistor and the heating body and is made of an insulating material, and the power supply connector is connected with the main control module and is used for being connected with an external power supply. When the heating body reaches the set target temperature, entering an intelligent detection state; the intelligent detection state comprises a heating stage and a forced closing stage, and the heating stage and the forced closing stage are alternately carried out. And according to the temperature loss condition, whether the user needs a higher temperature for heating or not is judged.

Description

Technical Field

[0001] The present application relates to the field of intelligent wearable technology, and more specifically, to a wearable device and an intelligent temperature control method for the wearable device. Background Art

[0002] With the development of smart wearable technology, traditional heating clothing mostly uses a fixed temperature control method. Existing intelligent control algorithms use the ambient temperature to roughly adjust the temperature of the heating element, or use motion detection to adjust the temperature according to the body's movement state, such as walking, running, and standing still. Different heating temperatures are assigned to different states, and setting the same heating temperature cannot adapt to all people. At the same time, the body's self-heating process also has a transition process when users switch between different movement states. Rapidly adjusting the heating temperature can make users feel uncomfortable. Because different clothes have different insulation levels due to factors such as thickness, setting the same temperature may make some scenes unsuitable. In addition, most of the temperature levels are adjusted by buttons or through an app, which requires manual control by the user. Manual temperature adjustment in some special scenarios (such as when the user is riding a bicycle) increases the risk of use. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a wearable device and an intelligent temperature control method for a wearable device, which solves the above-mentioned problems existing in the prior art without the need for manual adjustment.

[0004] In the first aspect, a method for setting the initial startup heating target temperature Tmin is provided. When the wearable device is turned on, its heating element is turned on for heating. When the heating element reaches the set target temperature Tmin, it enters the intelligent detection state.

[0005] The intelligent detection state includes a heating stage and a forced shutdown stage, the heating stage and the forced shutdown stage are performed alternately, and the ratio of the heating stage duration to the forced shutdown stage duration is 5 to 20; in the forced shutdown stage, the heating element stops working; the heating element includes at least three heating states: state A, state B, and state C, and the heating element presents three temperature values ​​in the three states, and the three temperature values ​​gradually increase;

[0006] Determine the standard temperature range of the heating element based on the heat conduction or heat dissipation performance between the wearable device and the external environment. The standard temperature range refers to the temperature range of the heating element when the wearable device is in the target state, so that the temperature of the contact surface between the wearable device and the user is maintained at the target temperature. The target state refers to the user's ambient temperature, exercise state, and contact method between the wearable device and the user all meet the set parameters;

[0007] The temperature value of the heating element in state B is within the standard temperature range;

[0008] According to the heat conduction or heat dissipation performance between the wearable device and the external environment, under the target state, the heat-generating element is simulated to stop working within the standard temperature range and the temperature loss rate range is v1 to v2.

[0009] Record the cooling rate v of the heating element in each forced shutdown stage and the actual temperature Tdown after the drop. Based on the comparison of the relationship between the actual temperature Tdown of the heating element and the standard temperature range, and the relationship between the cooling rate v and v1 and v2, determine the working state of the heating element in the next stage.

[0010] Furthermore, it includes assuming that the standard temperature range is T1 to T2, and the state A, state B, and state C correspond to the temperature values ​​TA, TB, and TC respectively, and T1≥TA, T2≤TC.

[0011] Furthermore, the method for selecting the heating state of the heating element in the next stage includes:

[0012] When the actual temperature T down In the heating standard temperature range, when the actual temperature loss rate v is less than v1, the heating element in the next heating stage is heated according to state A; when v is greater than v2, it is heated according to state C; when v is between v1 and v2, it is heated according to state B;

[0013] When the actual temperature T down Below the heating standard temperature range, when the actual temperature loss rate v is less than v3, the heating element in the next heating stage is heated according to state A; when v is greater than v4, it is heated according to state C; when v is between v3 and v4, it is heated according to state B;

[0014] When the actual temperature T down When the actual temperature loss rate v is lower than v5 and the temperature is higher than the standard heating temperature range, the heating element in the next heating stage is heated according to state A; when v is higher than v6, it is heated according to state C; when v is between v5 and v6, it is heated according to state B.

[0015] Among them, v3=v1-Δ, v5=v1+Δ, v4=v2-Δ, v6=v2+Δ, and Δ is an offset parameter.

[0016] Furthermore, during the heating stage, the heating element presents three temperatures in state A, state B, and state C by changing the ratio of the heating element on time to the heating element off time.

[0017] In the second aspect, a wearable device is provided, including a main control module, a thermistor, a heating element, a circuit connection structure, a power supply connector and a packaging module; the thermistor is used to detect the temperature of the heating element, the circuit connection structure is used to connect the main control module, the thermistor, the heating element and the power supply connector, the packaging module is used to cover the thermistor and the heating element, the packaging module is made of insulating material, the power supply connector is connected to the main control module, and is used to connect an external power supply; the main control module, the thermistor and the heating element perform the intelligent temperature control method for wearable devices described in the first aspect.

[0018] As a preferred embodiment of the present application, the circuit connection structure includes a load line and a flexible circuit board, the thermistor and the heating element are arranged on the flexible circuit board, the load line connects the flexible circuit board and the main control module, and the packaging module covers the flexible circuit board.

[0019] As a preferred embodiment of the present application, the packaging module includes five strip-shaped portions, each of which is used to fit a finger of a human body, and at least one heating element is provided in the strip-shaped portion.

[0020] As a preferred embodiment of the present application, the packaging module further includes a main body portion that cooperates with a human palm, and a heating element is provided in the main body portion.

[0021] Beneficial Effects: This invention uses a specific algorithm to detect the speed of internal body temperature instability, intelligently identifying whether a higher heating temperature is needed. Without increasing the number of thermistors, a single thermistor is used to achieve both temperature control and temperature loss detection for the heating element. This temperature loss detection method can more accurately identify the user's actual desired heating temperature. This solution allows for automatic temperature adjustment, freeing the user's hands and increasing safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 A schematic diagram of the structure of a wearable device provided in an embodiment of the present application;

[0024] Figure 2 A flow chart of a smart temperature control method for a wearable device provided in an embodiment of the present application;

[0025] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The following, in conjunction with the accompanying drawings, provides a clear and complete description of the technical solutions in the embodiments of this application. Obviously, the described embodiments represent only a portion of the embodiments of this application and do not constitute a complete set of embodiments. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of this application without inventive effort are intended to fall within the scope of protection of this application. Unless otherwise defined, technical or scientific terms used in this application should have the same ordinary meanings as those understood by persons of ordinary skill in the art. The terms "first," "second," and similar expressions used in this application do not denote any order, quantity, or importance; they are merely used to distinguish between different components. Terms such as "include" or "comprising" mean that the element or object preceding the term includes the elements or objects listed after the term, and their equivalents, without excluding other elements or objects. Terms such as "connect," "couple," or "connected" are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used solely to indicate relative positional relationships. When the absolute position of the described objects changes, the relative positional relationships may also change accordingly.

[0027] The preferred embodiments of the present application are described below in conjunction with the drawings in the specification. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application and are not used to limit the present application. In addition, the embodiments and features in the embodiments of the present application can be combined with each other if there is no conflict.

[0028] Figure 1 The wearable device provided in the embodiment of the present application includes a main control module 1, a thermistor 7, a heating element 4, a circuit connection structure, a power supply connector 2 and a packaging module 5; the thermistor 7 is used to detect the temperature of the heating element, and the circuit connection structure is used to connect the main control module 1, the thermistor 6, the heating element 4 and the power supply connector 2.

[0029] The main control module 1 is used for numerical processing and controlling the opening and closing of the heating element 4. It includes a processor and a digital-to-analog conversion module. The digital-to-analog conversion module receives the temperature numerical analog value fed back by the thermistor and converts it into a digital signal and sends it to the processor. The processor can be a general-purpose processor, including a central processing unit (CPU); it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0030] The packaging module 5 is used to encapsulate the thermistor and the heating element. It is made of an insulating material to protect the heating element from damage. Materials such as fabric, TPU, and PI can be used. The power connector 2 is connected to the main control module and is used to connect to an external power source, such as a lithium battery. Alternatively, the wearable device in the embodiments of this application can be powered by a lithium battery.

[0031] The circuit connection structure includes a load line 3 and a flexible circuit board 6. The thermistor and the heating element are arranged on the flexible circuit board. The load line connects the flexible circuit board 6 and the main control module 1. The packaging module covers the flexible circuit board. Flexible Printed Circuit Board (FPC) is one of the core technologies that support the miniaturization, lightweight and comfort of equipment. Its core feature is that it can be bent, folded and even stretched to adapt to the morphological requirements of complex curved surfaces of the human body (such as wrists, fingers, joints, etc.). Flexible substrate materials such as polyimide (PI) and polyester (PET) can be used, which can be bent and folded (the curvature radius can be as small as 1mm) to adapt to the dynamic deformation of wearable devices.

[0032] In an embodiment of the present application, the wearable device is a heatable glove. The packaging module includes five strip-shaped portions and a main body portion that matches the palm of a human body. A heating element is provided in the main body portion. Each strip-shaped portion is used to fit a human finger, and at least one heating element is provided in the strip-shaped portion. The heating element can be set to be ring-shaped or sheet-shaped. The shape matches the human hand. The heating element is a material with resistive properties, and can be various types of resistive materials such as carbon nanotube film / heating wire / carbon fiber, etc.

[0033] like Figure 2 As shown, the temperature control method of the wearable device provided in the embodiment of the present application includes the following:

[0034] When the wearable device's intelligent temperature control system is turned on for the first time, it needs to complete the basic warming stage through the preset heating target temperature (denoted as Tmin) to ensure that the device quickly enters a stable working state. Set the initial startup heating target temperature Tmin. When the wearable device is turned on, its heating element turns on for heating. When the heating element reaches the set target temperature Tmin, it enters the intelligent detection state. When the device leaves the factory, the manufacturer will set Tmin by default to a comfortable range of 30-40°C (for example, 35°C) based on ergonomic research and thermal safety standards. This range refers to the surface temperature of human skin (approximately 32-35°C) and environmental adaptability experimental data. It can avoid the physical discomfort caused by low temperatures and prevent the risk of burns caused by excessively high temperatures. The heating target temperature Tmin can be set by the manufacturer or by the user according to their own preferences. Users can customize Tmin within a safe range of 25-45°C through the mobile application or physical buttons that come with the device (subject to the upper temperature limit of the hardware). For example, users in cold areas can set a higher Tmin (such as 38°C) to enhance the warming effect, while users with sensitive skin can appropriately lower it to 32°C to improve wearing comfort. When the wearable device is turned on, the heating element turns on and heats according to the target temperature Tmin. When the heating element reaches the set target temperature Tmin, it enters the intelligent detection state. When the temperature of the heating element is lower than the target temperature Tmin, it indicates that the temperature of the heating plate is too low and needs to be further heated.

[0035] In the intelligent detection state, the temperature control system of the wearable device adopts a dynamic alternating control mechanism, dividing the operating cycle into a heating phase and a forced shutdown phase. The two are switched cyclically with a duration ratio of 5:1 to 20:1 (for example, 30 seconds in the heating phase and 2 seconds in the forced shutdown phase), which not only ensures efficient thermal compensation capabilities, but also avoids energy consumption and overheating risks caused by continuous heating.

[0036] During the forced shutdown phase, the heating element stops working. The heating element has at least three heating states: state A (low temperature compensation mode), state B (balance maintenance mode), and state C (rapid heating mode). The heating element presents three temperature values ​​in each of the three states, and the three temperature values ​​gradually increase. In the embodiment of the present application, the three temperature values ​​are 45°C, 50°C, and 55°C, respectively.

[0037] Based on the heat conduction or heat dissipation performance between the wearable device and the external environment, the standard temperature range of the heating element is determined. The standard temperature range refers to the temperature range of the heating element when the wearable device is in the target state, so that the temperature of the contact surface between the wearable device and the user is maintained at the target temperature (such as 45°C); the target state refers to the user's ambient temperature, exercise state, and contact method between the wearable device and the user all reach the set parameters.

[0038] To determine the standard temperature range of the heating element, the implementation of this application can perform multi-dimensional calculations based on the thermodynamic model of the wearable device and the environmental interaction parameters:

[0039] Thermal conduction modeling: through the thermal resistance formula R = ΔT / P loss (ΔT is the temperature difference between the heating element and the contact surface, P loss is the heat dissipation power) combined with the ambient temperature T0, air convection coefficient h and user skin thermal conductivity k skin , it is deduced that when the target contact surface temperature is 45℃, the steady-state temperature zone T that the heating element needs to reach low ,T high (e.g. 48-52°C) to compensate for heat loss in different scenarios.

[0040] According to the user's metabolic rate, it is divided into static (0-3METs) and low-intensity exercise (3-6METs), and the corresponding heat dissipation power difference can reach 20-50W / m 2 The contact method quantifies the heat transfer efficiency between the device and the skin through the fit coefficient η (0.7-1.0, 1.0 indicates completely close contact). Experimental measurements show that when η < 0.8, the heating element temperature needs to be increased by 3-5°C to offset the temperature drop caused by poor contact.

[0041] The other method is to simulate multiple experiments in the laboratory, and determine the standard temperature range of the heating element when maintaining a stable contact surface temperature (such as 45°C) by simulating the ambient temperature, user exercise intensity and device fit under the target state. The heat dissipation power (corresponding to the heat dissipation coefficient h = 5 ~ 50W / m) of the user in static (0METs), walking (3METs) and running (6METs) is simulated by combining the heating film and the fan. 2 The constant temperature environment box simulates the ambient temperature t0, and the fit coefficient η is adjusted through a pressure sensor (0.1-10N) and pads of different materials (silicone, fabric).

[0042] The temperature of the heating element in state B is within the standard temperature range. State B is used as the reference heating state.

[0043] Based on the heat conduction or heat dissipation performance between the wearable device and the external environment, in the target state, simulate the temperature loss rate range v1 to v2 of the heating element in the initial shutdown period within the standard temperature range (the duration corresponds to the forced shutdown period, such as two seconds). Assume that the standard temperature range is T1 to T2, and states A, B, and C correspond to temperature values ​​TA, TB, and TC, respectively, with T1 ≥ TA and T2 ≤ TC.

[0044] Record the temperature drop rate v of the heating element during each forced shutdown phase, and the actual temperature Tdown after the drop. Determine the operating state of the heating element in the next phase by comparing the relationship between the actual temperature Tdown of the heating element and the standard temperature range, and the relationship between the temperature drop rate v and v1, v2. The specific method is as follows:

[0045] Take v1 = 0.3℃ / s and v2 = 0.65℃ / s as the benchmark range of the temperature drop rate threshold, and Δ as the offset parameter, the extended threshold. Among them, v3 = v1 - Δ, v5 = v1 + Δ, v4 = v2 - Δ, v6 = v2 + Δ, and the offset parameter Δ is generally 1 / 10 to 1 / 3 of v1. In addition, the values of T1, T2, TA, TB, and TC need to be considered for adjustment. In this embodiment, v1 = 0.3, v2 = 0.65, v3 = 0.2, v4 = 0.55, v5 = 0.4, v6 = 0.75, and Δ takes the value of 0.1, and the units are all ℃ / s. Standard temperature range: T1 = 45℃, T2 = 55℃, corresponding to the target temperature of the contact surface of 40 - 45℃. State A (low temperature mode): TA = 40℃ (TA ≤ T1), State B (balanced mode): TB = 50℃ (T1 < TB < T2), State C (high temperature mode): TC = 60℃ (TC ≥ T2).

[0046] When the actual temperature T down is within the heating standard temperature range:

[0047] When the actual temperature drop rate v is less than v1, the heating element in the next heating phase is heated according to State A. At this time, although the actual temperature is low, the heat dissipation is also slow, such as in a static indoor environment. Example: Tdown = 48℃, v = 0.25℃ / s → State A is triggered. When v is greater than v2, it is heated according to State C. At this time, not only the temperature is high, but the heat dissipation is fast. Select State C (TC = 60℃) to cope with sudden heat dissipation (such as strong wind or increased exercise) and compensate for heat loss; when v belongs to v1 - v2, this interval corresponds to the conventional dynamic balance (such as mild outdoor activities), and it is heated according to State B.

[0048] When the actual temperature T down is lower than the heating standard temperature range:

[0049] When the actual temperature drop rate v is less than v3, the heating element in the next heating phase is heated according to State A; when v is greater than v4, it is heated according to State C; when v belongs to v3 - v4, it is heated according to State B;

[0050] When the actual temperature T downWhen the actual temperature loss rate v is less than v5 above the heating standard temperature range, the heating element in the next heating stage heats according to state A; when v is greater than v6, it heats according to state C; when v belongs to v5-v6, it heats according to state B.

[0051] The heating element makes the heating element present three temperatures in state A, state B, and state C by adjusting the average power.

[0052] The above intelligent temperature control method for wearable devices significantly enhances the adaptability of the device to complex usage scenarios while improving temperature control accuracy and energy efficiency through the collaborative decision-making of two variables, current temperature and temperature drop rate. The specific core advantages are as follows:

[0053] According to the deviation degree of the actual temperature position (Tdown) from the standard range, by introducing an offset parameter Δ (such as Δ = 0.1°C / s), the temperature loss rate thresholds (v3-v4, v5-v6) are expanded or contracted, allowing medium-power heating to be still used at higher heat dissipation speeds, avoiding frequent switching to state C due to low-temperature environments, reducing energy consumption, and reducing the discomfort of users caused by repeated temperature changes. When Tdown is higher than the standard range, by contracting the applicable speed range of state B to [v5, v6] (v5 = v1 + Δ, v6 = v2 + Δ), the low-power state A is triggered in advance to suppress the overheating risk, and the temperature overshoot amplitude is reduced by more than 30%.

[0054] Two-variable (temperature - speed) collaborative decision-making: Combining the temperature position feedback (the interval where Tdown is located) and the prediction of the heat dissipation trend (temperature loss rate v), a more accurate heating state selection is achieved: when Tdown is in the standard range and v < v1, even if the current temperature is normal, it is still maintained at low power in state A; when Tdown is abnormal (too high / too low), through the matching relationship between v and the extended threshold (v3-v6), for example, when Tdown < T1 and v > v4, the next stage is forced to switch to state C.

[0055] Parameter dynamic self-optimization ability: The system has a built-in learning algorithm that automatically calibrates the Δ value and the standard temperature range (T1-T2) according to historical operation data (such as ambient temperature, user activity pattern). For example: in cold regions (average t0 < 10°C), gradually increase Δ to 0.15 to enhance the cold resistance compensation sensitivity; for high-frequency motion users, dynamically expand the upper limit of T2 to 58°C to avoid temperature control failure caused by continuous high heat dissipation. This feature enables the device to adapt to different user habits and regional climate differences and maintain the best temperature control performance in the long term.

[0056] This invention uses a specific algorithm to detect the rate of internal body temperature instability, intelligently identifying whether a higher heating temperature is needed. Without increasing the number of thermistors, a single thermistor is used to achieve both temperature control and temperature loss detection for the heater. This temperature loss detection method more accurately identifies the user's actual desired heating temperature. This solution allows for automatic temperature adjustment, freeing the user's hands and increasing safety.

[0057] There are two ways to control the temperature of the heating element. One is to adjust the average power so that the heating element presents three temperatures in state A, state B, and state C.

[0058] Another heating element presents three temperatures in state A, state B, and state C by changing the ratio of the heating element's on time and off time.

[0059] Average power regulation mode

[0060] Implementation principle: By adjusting the average electric power (voltage or current) input to the heating element, the heating intensity is directly controlled so that different states correspond to different steady-state temperature values.

[0061] State A (low power): input power PA = VA 2 / R (e.g. 3V power supply, resistance R = 3Ω, then PA = 3W), corresponding to low temperature TA = 40℃.

[0062] State B (medium power): increase the voltage to VB=4V, the power PB=5.3W, and the corresponding equilibrium temperature TB=50°C.

[0063] State C (high power): maximum voltage VC = 5V, power PC = 8.3W, high temperature TC = 60°C is achieved.

[0064] Technical advantages:

[0065] High temperature stability: thermal inertia effect is weak under constant power, and temperature fluctuation is ≤±0.5℃;

[0066] Fast response: the target temperature is reached within 1 to 3 seconds after power switching (PID closed-loop control).

[0067] Duty cycle (PWM) regulation mode

[0068] Implementation principle: Fixed input voltage (such as 5V), by changing the proportion of the heating element's power-on time in a cycle (duty cycle D = ton / (ton+toff)) to control the average heating value.

[0069] State A (low duty cycle): DA = 30% (e.g., 0.3 seconds on / 0.7 seconds off), equivalent average power PA = 5V 2 / R×30%=2.5W, maintain TA=40℃;

[0070] State B (medium duty cycle): DB = 60%, equivalent power PB = 5W, corresponding to TB = 50°C;

[0071] State C (high duty cycle): DC = 90%, equivalent power PC = 7.5 W, and TC = 60°C.

[0072] Corresponding to the above method, the embodiment of the present disclosure further provides an electronic device, such as Figure 3 As shown, it includes: a processor 41, a memory 42, and a bus 43; the memory 42 is used to store execution instructions, including a memory 421 and an external memory 422; the memory 421 here is also called an internal memory, which is used to temporarily store the operation data in the processor 41 and the data exchanged with the external memory 422 such as a hard disk. The processor 41 exchanges data with the external memory 422 through the memory 421. When the electronic device 400 is running, the processor 41 communicates with the memory 42 through the bus 43, so that the processor 41 executes Figure 3 Steps of the intelligent temperature control method for wearable devices.

[0073] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk memory. Alternatively, the memory may be at least one storage device located away from the processor.

[0074] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (Digital Signal Processing), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field-programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0075] Based on the above embodiments, in an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the positioning method based on multi-sensor fusion in any of the above method embodiments is implemented.

[0076] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0077] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0078] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0080] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A wearable device intelligent temperature control method, characterized in that: include, Set the initial startup heating target temperature Tmin. When the wearable device is turned on, its heating element starts heating. When the heating element reaches the set target temperature Tmin, it enters the intelligent detection state. The intelligent detection state includes a heating stage and a forced shutdown stage, the heating stage and the forced shutdown stage are performed alternately, and the ratio of the heating stage duration to the forced shutdown stage duration is 5 to 20; in the forced shutdown stage, the heating element stops working; the heating element includes at least three heating states: state A, state B, and state C, and the heating element presents three temperature values ​​in the three states, and the three temperature values ​​gradually increase; Determine the standard temperature range of the heating element based on the heat conduction or heat dissipation performance between the wearable device and the external environment. The standard temperature range refers to the temperature range of the heating element when the wearable device is in the target state, so that the temperature of the contact surface between the wearable device and the user is maintained at the target temperature. The target state refers to the user's ambient temperature, exercise state, and contact method between the wearable device and the user all meet the set parameters; The temperature value of the heating element in state B is within the standard temperature range; According to the heat conduction or heat dissipation performance between the wearable device and the external environment, under the target state, the heat source is simulated to stop working in the standard temperature range and the temperature loss rate range is v1 to v2. Record the cooling rate v of the heating element in each forced shutdown stage and the actual temperature Tdown after the drop. Based on the comparison of the relationship between the actual temperature Tdown of the heating element and the standard temperature range, and the relationship between the cooling rate v and v1 and v2, determine the working state of the heating element in the next stage.

2. The wearable device intelligent temperature control method according to claim 1, characterized in that: Including, assuming that the standard temperature range is T1~T2, state A, state B, and state C correspond to temperature values ​​TA, TB, and TC respectively, T1≥TA, T2≤TC.

3. The wearable device intelligent temperature control method according to claim 1, characterized in that: Methods for selecting the heating state of the heating element in the next stage include: When the actual temperature T down In the standard temperature range, when the actual temperature loss rate v is less than v1, the heating element in the next heating stage is heated according to state A; when v is greater than v2, it is heated according to state C; when v is between v1 and v2, it is heated according to state B; When the actual temperature T down Below the standard temperature range, when the actual temperature loss rate v is less than v3, the heating element in the next heating stage is heated according to state A; when v is greater than v4, it is heated according to state C; when v is between v3 and v4, it is heated according to state B; When the actual temperature T down When the actual temperature drop rate v is lower than v5, the heating element in the next heating stage is heated according to state A; when v is higher than v6, it is heated according to state C; when v is between v5 and v6, it is heated according to state B. Among them, v3=v1-Δ, v5=v1+Δ, v4=v2-Δ, v6=v2+Δ, and Δ is an offset parameter.

4. The wearable device intelligent temperature control method according to claim 2, characterized in that: During the heating phase, the heating element is adjusted to have three temperatures in state A, state B, and state C by adjusting the average power.

5. The wearable device intelligent temperature control method according to claim 2, characterized in that: During the heating phase, the heating element presents three temperatures in state A, state B, and state C by changing the ratio of the heating element on time to the heating element off time.

6. A wearable device, characterized in that: It includes a main control module, a thermistor, a heating element, a circuit connection structure, a power supply connector and a packaging module; the thermistor is used to detect the temperature of the heating element, the circuit connection structure is used to connect the main control module, the thermistor, the heating element and the power supply connector, the packaging module is used to cover the thermistor and the heating element, the packaging module is made of insulating material, the power supply connector is connected to the main control module, and is used to connect an external power supply; the main control module, the thermistor and the heating element perform the intelligent temperature control method for wearable devices as described in any one of claims 1 to 5.

7. The wearable device according to claim 6, wherein: The circuit connection structure includes a load line and a flexible circuit board. The thermistor and the heating element are arranged on the flexible circuit board. The load line connects the flexible circuit board and the main control module. The packaging module covers the flexible circuit board.

8. The wearable device according to claim 7, wherein: The packaging module includes five strip-shaped parts, each of which is used to fit a finger of a human body, and at least one heating element is provided in the strip-shaped part.

9. The wearable device according to claim 8, wherein: The packaging module further comprises a main body portion adapted to fit the palm of a human body, wherein a heating element is provided in the main body portion.

10. The wearable device according to claim 9, wherein: The heating element is a material with electrical resistance characteristics, and the material is one of carbon nanotube film, heating wire, and carbon fiber.

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