Setting model test system
By setting up a model testing system with bionic skin and control devices to simulate human body temperature and sweating, the efficiency and accuracy issues of comfort testing for wearable devices are solved, enabling efficient detection of comfort parameters and optimization of product design.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-04-17
AI Technical Summary
Existing methods for testing the comfort of wearable devices require significant manpower, time, and costs, and the testing process is complex, making it difficult to efficiently assess individual differences in comfort.
A model testing system was designed, including bionic skin, a temperature control device, and a humidity control device. By accurately simulating human body temperature and the sweating process, it achieves efficient detection of comfort parameters and reduces the need for real-person testing.
It improves the efficiency and accuracy of comfort testing for wearable devices, provides quantitative data to support product design improvements, and reduces testing costs and time.
Smart Images
Figure CN121877431A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of wearable device wear detection technology, and more specifically, to a set-model testing system. Background Technology
[0002] Current methods for comfort testing of wearable products (such as glasses, eye masks, and face masks) include: one approach involves collecting subjective feedback from numerous individuals in various wearing scenarios and activity states. This large volume of feedback data is then manually statistically categorized and processed to improve the design of the wearable product. However, this method requires significant manpower, time, and effort for each product test and verification, resulting in a lengthy, complex, and costly process that hinders project development. Summary of the Invention
[0003] One objective of this invention is to provide a new technical solution for setting up a model testing system.
[0004] According to a first aspect of the present invention, a model testing system is provided, comprising: a model, bionic skin, a temperature control device, a humidity control device, and a water tank, wherein, The bionic skin is attached to the design model, which is used to wear wearable devices. The bionic skin includes a comfort parameter detection layer, a humidity equalization layer, a temperature sampling layer, and a heating layer, which are stacked sequentially. The design model has through holes. The temperature control device is used to control the heating of the heating layer and to acquire the actual temperature value collected by the temperature sampling layer, which is used as the current temperature value of the bionic skin. The humidity control device is used to control the extraction of water from the water tank so that the extracted water enters the uniform humidity layer through the through hole, and to acquire the humidity value of the environment around the bionic skin by the comfort parameter detection layer, so as to use the comfort parameter of the bionic skin when simulating human sweating.
[0005] Optionally, the humidity control device is used to determine the theoretical amount of sweating based on the current temperature value of the bionic skin when the current temperature value of the bionic skin is greater than the set temperature value, and to control the water tank motor to rotate based on the theoretical amount of sweating so as to draw water from the water tank into the uniform humidity layer through the through hole.
[0006] Optionally, the temperature control device includes a first control module, a power supply module, and a temperature acquisition module, wherein, The first control module is used to determine the first heating power corresponding to the heating layer based on the set simulated temperature value of the bionic skin, and to control the power supply module to supply power to the heating layer based on the first heating power corresponding to the heating layer. The temperature acquisition module is used to acquire the temperature value collected by the temperature sampling layer, so as to use it as the current temperature value of the bionic skin.
[0007] Optionally, the first control module is further configured to determine the temperature difference between the set simulated temperature value of the bionic skin and the current temperature value of the bionic skin, denoted as the first temperature difference value; when the first temperature difference value is greater than the preset temperature value, determine the first control parameter based on the first temperature difference value; control the power supply module based on the first control parameter to adjust the heating power corresponding to the heating layer to obtain the second heating power; and control the heating of the heating layer based on the second heating power.
[0008] Optionally, the humidity control device includes a second control module and a humidity acquisition module, wherein, The second control module is used to determine the first rotation speed of the water tank motor based on the theoretical amount of sweat, and control the water tank motor to rotate according to the first rotation speed of the water tank motor, so as to draw water from the water tank and enter the moisture equalization layer through the through hole; The humidity acquisition module is used to acquire the humidity value of the environment around the bionic skin collected by the comfort parameter detection layer, so as to serve as the comfort parameter of the bionic skin when simulating human sweating.
[0009] Optionally, the second control module is further configured to calculate a first water extraction volume based on the first rotational speed of the water tank motor and the running time of the water tank motor, acquire liquid level information collected by the liquid level sensor installed in the water tank, determine liquid level change information based on the liquid level information, determine a second water extraction volume based on the liquid level change information, determine a second control parameter based on the difference between the first water extraction volume and the second water extraction volume when the difference between the first water extraction volume and the second water extraction volume is greater than a preset threshold, adjust the rotational speed of the water tank motor based on the second control parameter to obtain a second rotational speed, and control the rotation of the water tank motor based on the second rotational speed of the water tank motor.
[0010] Optionally, the water tank further includes a third control device and a heating device, wherein, The third control device is used to determine the heating power of the heating device according to the set water temperature value, and to control the heating device to heat according to the heating power of the heating device, so that the water temperature in the water tank is maintained at the set water temperature value.
[0011] Optionally, the temperature sampling layer includes multiple temperature sensors, wherein, The temperature control device is used to acquire the temperature values collected by each temperature sensor, and to determine the average temperature value based on the temperature values collected by each temperature sensor, so as to use the current temperature value of the bionic skin.
[0012] Optionally, the comfort parameter detection layer includes multiple humidity sensors, wherein, The humidity control device is used to acquire the humidity values collected by each humidity sensor and the setting position of each humidity sensor, and to generate information reflecting the humidity distribution based on the humidity values collected by each humidity sensor and the setting position of each humidity sensor.
[0013] Optionally, the system further includes a host computer, which includes a communication module, a storage module, and a display module, wherein... The communication module is used to receive the current temperature value of the bionic skin sent by the temperature control device and the comfort parameters of the bionic skin when simulating human sweating sent by the humidity control device. The storage module is used to store the current temperature value of the bionic skin sent by the temperature control device and the comfort parameters of the bionic skin when simulating human sweating sent by the humidity control device. The display module is used to display the current temperature value of the bionic skin and the comfort parameters of the bionic skin when simulating human sweating.
[0014] The model testing system disclosed herein includes a temperature control device for controlling the heating layer, enabling the bionic skin to accurately simulate any set temperature value. A humidity control device controls the extraction of water from the water tank, allowing the extracted water to enter the uniform humidity layer through openings in the model, thus accurately simulating human skin sweating. When water extraction stops, the humidity control device acquires the humidity value of the environment surrounding the bionic skin from the comfort parameter detection layer. This allows for the detection of comfort parameters of the bionic skin after the model is worn with a wearable device, eliminating the need for extensive long-term human testing and improving testing efficiency. Furthermore, it enables realistic and accurate simulation of human wearing of the device, improving the accuracy of comfort parameter detection and providing quantitative data for the design improvement of wearable devices.
[0015] The features and advantages of the embodiments of this specification will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description
[0016] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments of this specification and, together with their description, serve to explain the principles of these embodiments.
[0017] Figure 1 This is a schematic diagram of the structure of a model testing system according to an embodiment of the present invention.
[0018] Figure 2 This is a schematic diagram of the structure of a model testing system according to another embodiment of the present invention.
[0019] Figure 3 A schematic diagram of a setup model, a water tank, and a peristaltic pump according to an embodiment of the present invention is shown. Detailed Implementation
[0020] Various exemplary embodiments of this specification will now be described in detail with reference to the accompanying drawings.
[0021] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the embodiments of this specification or their application or use.
[0022] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.
[0023] To address the aforementioned technical issues, this disclosure provides a model testing system. A temperature control device controls the heating of the heating layer, enabling the bionic skin to accurately simulate any set temperature value. A humidity control device controls the extraction of water from a water tank, allowing the extracted water to enter a uniform humidity layer through openings in the model, thus accurately simulating human skin sweating. When water extraction from the tank stops, the humidity control device acquires the humidity value of the environment surrounding the bionic skin, collected by a comfort parameter detection layer. This allows for the detection of comfort parameters of the bionic skin after the model is worn with a wearable device, eliminating the need for extensive long-term human testing and improving testing efficiency. Furthermore, it enables realistic and accurate simulation of human wearing of the device, improving the accuracy of comfort parameter detection and providing quantitative data for the design improvement of wearable devices.
[0024] One embodiment of the present invention provides a model testing system.
[0025] according to Figure 1 As shown, the setting model testing system of this embodiment includes a setting model 100, a bionic skin 200, a temperature control device 300, a humidity control device 400, and a water tank 500.
[0026] Bionic skin 200 is attached to the design model 100. The design model 100 is used to wear wearable devices.
[0027] The bionic skin 200 includes a comfort parameter detection layer 210, a humidity equalization layer 220, a temperature sampling layer 230, and a heating layer 240, which are stacked sequentially. The model 100 is provided with through holes.
[0028] The temperature control device 300 is used to control the heating of the heating layer 240 and to acquire the actual temperature value collected by the temperature sampling layer 230 as the current temperature value of the bionic skin.
[0029] The humidity control device 400 is used to control the extraction of water from the water tank 500 so that the extracted water enters the humidity equalization layer 220 through the through hole, and the comfort parameter acquisition detection layer 210 collects the humidity value of the environment around the bionic skin as a comfort parameter when the bionic skin simulates human sweating.
[0030] Model 100 can be a model simulating any part of the human body, such as a model or a hand model.
[0031] Wearable devices can be any of the following: VR glasses, watches, bracelets, or rings.
[0032] The heating layer 240 is designed to conform to shapes, which allows it to fit different irregular curved surfaces, making it highly adaptable.
[0033] The heating layer 240 is used to provide heat to maintain the temperature of the bionic skin at any set temperature. The heating layer can use flexible electric heating film, carbon fiber heating wire, or PTC (positive temperature coefficient) thermistor as the heating element. These materials all have advantages such as high heating efficiency, fast response speed, and good safety.
[0034] The heating layer 240 includes a temperature equalization layer and a heating layer. The temperature control device 300 is used to control the heating of the heating layer. The temperature equalization layer is used to keep the temperature warm. Specifically, the heating layer 240 includes a first temperature equalization layer, a heating layer and a second temperature equalization layer stacked in sequence, a temperature sampling layer 230 attached to the first temperature equalization layer, and the second temperature equalization layer in close contact with the set model 100.
[0035] In some embodiments, the heating layer includes a heating substrate. The heating substrate can be formed by alternately stacking a conductive metal layer (such as copper foil, silver paste, etc.) and a ceramic insulating layer (such as alumina, aluminum nitride, etc.). Alternatively, a composite material such as carbon nanotubes or graphene can be used to form the heating substrate. This allows the heating layer to achieve a heating effect when electricity is applied, which helps in biomimetic skin to simulate human body temperature.
[0036] In some embodiments, the heating layer includes a substrate and heating circuitry disposed on the substrate. Thus, through the synergistic operation of the substrate and the heating circuitry, a heating system that combines efficient heating, precise temperature control, and long-term reliability can be constructed. The substrate is formed of graphene material. Graphene material can generate heat when energized, and the heating circuitry arranged on it can transfer the heat of the substrate to different areas, helping to simulate human body temperature in biomimetic skin. The heating circuitry has a serpentine structure, a racetrack-shaped structure, a stepped structure, or a corrugated structure.
[0037] In some embodiments, the substrate is made of a flexible material to better fit the model.
[0038] Taking a head model as an example, a graphene multilayer structure homogeneous heating film with heating circuitry is designed based on the irregular facial contours of the head model to serve as the heating layer. A low-voltage (e.g., 5V) power supply and a closed-loop temperature control circuit can achieve a temperature difference of less than ±0.5℃. This homogeneous temperature effect refers to simulating the comfortable, static environment of human skin, where heat dissipation and heating are naturally balanced without the need for body temperature regulation mechanisms. The closed-loop temperature control circuit described here can be referenced in the section on adjusting the heating power of the heating layer.
[0039] The aforementioned first and second temperature equalization layers are used to enhance heat diffusion and achieve heat uniformity. The first and second temperature equalization layers can rapidly absorb the heat generated by the heating layer through their high thermal conductivity (such as graphite sheets, metal foils, or phase change materials), and diffuse the heat laterally along the bionic skin through uniformly distributed heat conduction paths within the layers. This avoids localized overheating, reduces the temperature difference between heat source and non-heat source areas, and improves the overall temperature uniformity of the bionic skin.
[0040] In some embodiments, the first and second heat spreaders can be made of the same material, such as graphene, to achieve bilayer heat diffusion.
[0041] In some embodiments, the first and second temperature-equalizing layers are made of flexible materials so that they can better conform to the set model.
[0042] In some embodiments, the temperature sampling layer 230 includes a plurality of temperature sensors. The temperature sensors may be NTC sensors. An array arrangement of the multiple temperature sensors can enhance the detection range and improve detection accuracy.
[0043] In some embodiments, multiple sampling circuits are configured to acquire the actual temperature value collected by the temperature sampling layer 230. The number of sampling circuits is determined based on the number of temperature sensors configured in the temperature sampling layer 230, enabling parallel acquisition of the actual temperature value and improving timeliness.
[0044] In some embodiments, the moisture equalization layer 220 can be made of a porous material (such as foamed metal, fibrous fabric, etc.), giving it good air permeability and moisture absorption. Its interior can also be designed with microchannels or pore structures to facilitate air circulation and uniform moisture distribution.
[0045] In some embodiments, a hydrophobic polytetrafluoroethylene (PTFE) film, superabsorbent fiber (SAF) felt, and moisture-wicking 3D fabric may be arranged from top to bottom to achieve moisture absorption and uniformity while preventing condensation from penetrating and causing abnormalities in the comfort parameter detection layer.
[0046] In some embodiments, the moisture equalization layer 220 is made of a hydrophobic material. For example, it is made of hydrophobic materials such as fluorinated ethylene propylene copolymer or hydrophobic thermoplastic polyurethane. This material can prevent water from penetrating to the outer comfort parameter detection layer while simulating human skin perspiration during device testing, thereby ensuring the reliability of the comfort parameter detection layer.
[0047] In some embodiments, the moisture equalization layer 220 is designed to mimic the shape of the model, allowing the bionic skin with the moisture equalization layer to better conform to the model, thus helping the bionic skin to better simulate the realistic feel of human skin. The moisture equalization layer 220 can be made of a flexible material to ensure better conformation of the bionic skin to the model.
[0048] according to Figure 2 As shown, the temperature control device 300 includes a first control module 310, a power supply module 320, and a temperature acquisition module 330.
[0049] The first control module 310 is used to determine the first heating power corresponding to the heating layer 240 based on the set simulated temperature value of the bionic skin, and to control the power supply module 320 to supply power to the heating layer based on the first heating power corresponding to the heating layer 240. The temperature acquisition module 330 is used to acquire the temperature value collected by the temperature sampling layer 230 as the current temperature value of the bionic skin.
[0050] Specifically, the first control module 310 is also used to determine the temperature difference between the set simulated temperature value of the bionic skin and the current temperature value of the bionic skin, denoted as the first temperature difference. When the first temperature difference is greater than the preset temperature value, the first control parameter is determined according to the first temperature difference. The power supply module is controlled according to the first control parameter to adjust the heating power corresponding to the heating layer 240 to obtain the second heating power. The heating layer 240 is controlled to heat according to the second heating power.
[0051] The first control parameter is the PID control parameter, which is used to determine the adjusted heating power. This allows for dynamic optimization of the temperature control parameters based on the PID algorithm, achieving closed-loop temperature uniformity control and ensuring that the actual temperature value collected by the temperature sampling layer remains at the set simulated temperature value.
[0052] The first temperature difference is input into the predefined first control parameter prediction model to obtain the first control parameter. By combining the AI model with traditional PID control, the first control parameter is automatically adjusted, while simultaneously improving the accuracy of its determination.
[0053] The established first control parameter prediction model is trained based on a training sample set. The training sample set includes a large number of training samples. Each sample in the training sample set includes a temperature difference value and a corresponding first control parameter. Each sample is input into the first control parameter prediction model to be trained, obtaining the output information for each sample, which is the predicted value of the first control parameter for that sample. Based on the predicted values of the first control parameters for each sample and the first control parameters included in each sample, the prediction accuracy of the first control parameter prediction model is determined. If the prediction accuracy of the first control parameter prediction model does not meet the preset requirements, the first control parameter prediction model continues to be trained, that is, the parameters of the first control parameter prediction model are adjusted, until the prediction accuracy of the first control parameter prediction model reaches the preset requirements.
[0054] When the current temperature of the bionic skin is greater than the set temperature, the humidity control device 400 determines the theoretical amount of perspiration based on the current temperature of the bionic skin, and controls the water tank motor to rotate according to the theoretical amount of perspiration, so as to draw water from the water tank and enter the uniform humidity layer through the through hole.
[0055] The humidity control device 400 is used to determine the theoretical amount of perspiration based on the difference between the current temperature value and the set temperature value of the bionic skin.
[0056] The set temperature value corresponds to the skin temperature when the human skin is in thermal equilibrium between heat generation and dissipation. When the human skin temperature is at the set temperature, the skin is in a comfortable, still state and does not sweat. When the human skin temperature exceeds the set temperature, the thermal equilibrium is disrupted, requiring sweating to regulate it. When the current temperature of the bionic skin is the set temperature, it does not need to simulate human sweating. When the current temperature of the bionic skin exceeds the set temperature, it needs to simulate human sweating. For example, when the ambient temperature of the bionic skin is high, it simulates the human skin temperature at that ambient temperature; in this case, the current temperature exceeds the set temperature, therefore, it needs to simulate human sweating. Similarly, when the human body is in motion, the skin temperature rises; the bionic skin simulates the skin temperature during this motion state; in this case, the current temperature exceeds the set temperature, therefore, it needs to simulate human sweating.
[0057] In this embodiment, a pre-stored correspondence between temperature difference and theoretical perspiration volume is established. The temperature difference is the difference between the current temperature of the bionic skin and the set temperature. The correspondence between temperature difference and theoretical perspiration volume can be calculated based on a large amount of test data. This correspondence is stored in the form of a mapping table. Based on the difference between the current temperature of the bionic skin and the set temperature, the corresponding theoretical perspiration volume is retrieved from this correspondence.
[0058] according to Figure 2 As shown, the humidity control device 400 includes a second control module 410 and a humidity acquisition module 420.
[0059] The second control module 410 is used to determine the first speed of the water tank motor based on the theoretical amount of sweating, and control the water tank motor to rotate according to the first speed of the water tank motor so as to draw water from the water tank and enter the uniform humidity layer through the through hole.
[0060] The humidity acquisition module 420 is used to acquire the humidity value of the environment around the bionic skin collected by the comfort parameter detection layer, so as to serve as the comfort parameter of the bionic skin when simulating human sweating.
[0061] The motor rotation is precisely controlled based on the theoretical amount of sweat produced, so that water in the water tank is drawn into the moisture equalization layer through the through hole, thereby accurately simulating the sweating of human skin and providing an accurate simulation basis for the subsequent determination of comfort parameters.
[0062] In some embodiments, the second control module 410 is further configured to, before the water tank motor stops rotating, calculate a first water extraction volume based on the first rotational speed of the water tank motor and the running time of the water tank motor, acquire liquid level information collected by a liquid level sensor installed in the water tank, determine liquid level change information based on the liquid level information, determine a second water extraction volume based on the liquid level change information, and if the difference between the first water extraction volume and the second water extraction volume is greater than a preset threshold, determine a second control parameter based on the difference between the first water extraction volume and the second water extraction volume, adjust the rotational speed of the water tank motor based on the second control parameter to obtain a second rotational speed, and control the rotation of the water tank motor based on the second rotational speed of the water tank motor.
[0063] The second control parameter is the PID control parameter, which is used to determine the adjusted motor speed.
[0064] The first water extraction volume is the volume calculated using a fitting method, while the second water extraction volume is the volume actually measured. Using the second extraction volume as a reference, it is further determined whether the current motor speed meets the theoretical water volume corresponding to the amount of sweat produced. Then, based on a PID algorithm, the motor speed parameters are dynamically optimized to ensure that the water volume extracted from the tank is basically consistent with the theoretical sweat volume, achieving accurate simulation of human skin sweating and providing an accurate simulation basis for determining subsequent comfort parameters.
[0065] Specifically, the difference between the first and second water extraction volumes is input into a pre-defined second control parameter prediction model to obtain the second control parameter. By combining the AI model with traditional PID control, the second control parameter is automatically adjusted, while simultaneously improving its accuracy.
[0066] The established second control parameter prediction model is trained based on a training sample set. The training sample set includes a large number of training samples. Each sample in the training sample set includes the difference in water extraction volume and the corresponding second control parameter. Each sample is input into the second control parameter prediction model to be trained, obtaining the output information for each sample, which is the predicted value of the second control parameter for that sample. Based on the predicted values of the second control parameters for each sample and the second control parameters included in each sample, the prediction accuracy of the second control parameter prediction model is determined. If the prediction accuracy of the second control parameter prediction model does not meet the preset requirements, the model is further trained, that is, its parameters are adjusted, until the prediction accuracy reaches the preset requirements.
[0067] In some embodiments, according to Figure 2 As shown, the water tank 500 also includes a third control device 510, a heating device 520, and a motor 530. The third control device 510 is used to determine the heating power of the heating device 520 according to the set water temperature value, and to control the heating device 520 to heat according to the heating power of the heating device 520, so that the water temperature in the water tank is maintained at the set water temperature value.
[0068] The water temperature is set based on the temperature of human sweat. This allows the water drawn from the tank to more realistically simulate human sweat, providing an accurate simulation basis for determining subsequent comfort parameters.
[0069] In some embodiments, the third control device 510 is used to acquire the actual temperature value collected by the temperature sensor installed in the water tank; determine a second temperature difference value, wherein the second temperature difference value is the temperature difference between the set water temperature value and the actual temperature value; if the second temperature difference value is greater than the preset temperature value, determine a third control parameter based on the second temperature difference value; adjust the heating power of the heating device according to the third control parameter to obtain a second heating power; and control the heating device to heat the water in the water tank according to the second heating power.
[0070] The third control parameter is the PID control parameter, which is used to determine the adjusted heating power. This allows for dynamic optimization of the temperature control parameters based on an algorithm, enabling the water drawn from the tank to more realistically simulate human sweat.
[0071] The second temperature difference value is input into the pre-defined third control parameter prediction model to obtain the third control parameter. By combining the AI model with traditional PID control, the third control parameter is automatically adjusted, while simultaneously improving the accuracy of its determination.
[0072] The established third control parameter prediction model is trained based on a training sample set. The training sample set includes a large number of training samples. Each sample in the training sample set includes a temperature difference value and a corresponding third control parameter. Each sample is input into the third control parameter prediction model to be trained, obtaining the output information for each sample, which is the predicted value of the third control parameter for that sample. Based on the predicted values of the third control parameters for each sample and the third control parameters included in each sample, the prediction accuracy of the third control parameter prediction model is determined. If the prediction accuracy of the third control parameter prediction model does not meet the preset requirements, the model is further trained, i.e., its parameters are adjusted, until the prediction accuracy reaches the preset requirements.
[0073] according to Figure 2 As shown, the water tank 500 also includes a liquid level sensor 540. The liquid level sensor 540 is used to send the collected liquid level information to the second control device 420.
[0074] In some embodiments, the temperature sampling layer 230 includes a plurality of temperature sensors. The temperature sensors may be NTC sensors. The plurality of temperature sensors are arranged in an array.
[0075] The temperature control device 300 is specifically used to acquire the temperature values collected by each temperature sensor, and determine the average temperature value based on the temperature values collected by each temperature sensor, which is then used as the current temperature value of the bionic skin. This can enhance the detection range and improve the detection accuracy.
[0076] In some embodiments, the comfort parameter detection layer 210 includes multiple humidity sensors. These sensors are arranged in an array. The multiple humidity sensors are used to simultaneously detect the humidity value of the environment surrounding the bionic skin, accurately measuring the humidity parameters at various detection points on the surface of the bionic skin within the wearing coverage area.
[0077] By setting up multiple sampling circuits, the actual humidity values collected by multiple humidity sensors in the comfort parameter detection layer are obtained. The number of sampling circuits is determined based on the number of humidity sensors in the comfort parameter detection layer, which enables parallel acquisition of actual humidity values and improves timeliness.
[0078] The humidity control device 400 is used to acquire the humidity values collected by each humidity sensor and the setting position of each humidity sensor, and to generate information reflecting the humidity distribution based on the humidity values collected by each humidity sensor and the setting position of each humidity sensor.
[0079] Information reflecting humidity distribution can be a mapping table or a humidity distribution map.
[0080] In some embodiments, the comfort parameter detection layer 210 further includes multiple temperature sensors. These multiple temperature sensors are arranged in an array. The multiple temperature sensors are used to simultaneously or independently detect the temperature value of the environment surrounding the bionic skin, and can accurately measure the temperature parameters at various detection points on the surface of the bionic skin within the wearing coverage area.
[0081] By setting up multiple sampling circuits, the actual temperature values collected by multiple temperature sensors in the comfort parameter detection layer are obtained. The number of sampling circuits is determined based on the number of temperature sensors in the comfort parameter detection layer, which enables parallel acquisition of actual temperature values and improves timeliness.
[0082] In some embodiments, according to Figure 2 As shown, the system also includes a host computer 600, which includes a communication module 610, a storage module 620, and a display module 630.
[0083] The communication module 610 is used to receive the current temperature value of the bionic skin sent by the temperature control module and the comfort parameters of the bionic skin when simulating human sweating sent by the humidity control module.
[0084] The storage module 620 is used to store the current temperature value of the bionic skin sent by the temperature control module and the comfort parameters of the bionic skin when simulating human sweating sent by the humidity control module.
[0085] Display module 630 is used to display the current temperature value of the bionic skin and the comfort parameters of the bionic skin when simulating human sweating. Specifically, display module 610 displays the set model and the comfort parameters corresponding to each sampling point of the bionic skin attached to the set model. This enables a visual display of the current temperature value of the bionic skin and the comfort parameters of the bionic skin when simulating human sweating, allowing users to obtain the above information in real time.
[0086] It should be noted that the first, second, and third control devices described above include a memory and a processor. The memory stores a computer program, which is used to control the processor to operate and execute the method provided according to any of the above embodiments.
[0087] This processor is used to execute computer instructions, which can be written using instruction sets of architectures such as x86, Arm, RISC, MIPS, and SSE. Memory includes, for example, ROM (Read-Only Memory), RAM (Random Access Memory), and non-volatile memory such as hard disks, etc., without limitation.
[0088] Figure 3 A schematic diagram of a setup model, water tank, and peristaltic pump according to an embodiment of the present invention is shown. Figure 3As shown, the model is designed with multiple through-holes. A peristaltic pump draws water from the tank, allowing the drawn water to pass through these through-holes and enter the moisture equalization layer of the biomimetic skin. The peristaltic pump has multiple channels. The peristaltic pump draws water from the tank, allowing the drawn water to sequentially pass through each channel and through-hole into the moisture equalization layer.
[0089] Specifically, the temperature control device heats the heating layer to a specified temperature (e.g., 37°C), maintaining the heating power at a thermal equilibrium that simulates human skin. When the ambient temperature rises, this thermal equilibrium is disrupted, and the bionic skin mimics human sweating. The humidity control device, based on the theoretical perspiration volume, controls a peristaltic pump to draw water from a constant-temperature heated tank, which then enters the humidity equalization layer. The humidity control device monitors liquid level changes via a level sensor in the tank to assist in calibrating the perspiration volume. Once the theoretical perspiration volume has been drawn, the peristaltic pump stops pumping water, achieving high-precision simulation and quantification, and real-time monitoring of the bionic skin's temperature and humidity. By benchmarking against the real-world sensations of different individuals under various wearing scenarios and activity states, the device can detect temperature and humidity changes in the wearing area after wearing the product, further optimizing the design and user experience of wearable products.
[0090] This invention can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of the invention.
[0091] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example, but not limited to, electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination thereof. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.
[0092] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.
[0093] The computer program instructions used to perform the operations of this invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuits, such as programmable logic circuits, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), are personalized by utilizing state information from computer-readable program instructions. These electronic circuits can execute computer-readable program instructions to implement various aspects of the present invention.
[0094] Various aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.
[0095] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.
[0096] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.
[0097] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction, which contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions. It will be known to those skilled in the art that implementation in hardware, implementation in software, and implementation using a combination of software and hardware are equivalent.
[0098] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, and are not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.
Claims
1. A set-up model testing system, characterized by, include: The system includes a model, bionic skin, temperature control device, humidity control device, and water tank. The bionic skin is attached to the design model, which is used to wear wearable devices. The bionic skin includes a comfort parameter detection layer, a humidity equalization layer, a temperature sampling layer, and a heating layer, which are stacked sequentially. The design model has through holes. The temperature control device is used to control the heating of the heating layer and to acquire the actual temperature value collected by the temperature sampling layer, which is used as the current temperature value of the bionic skin. The humidity control device is used to control the extraction of water from the water tank so that the extracted water enters the uniform humidity layer through the through hole, and to acquire the humidity value of the environment around the bionic skin by the comfort parameter detection layer, so as to use the comfort parameter of the bionic skin when simulating human sweating.
2. The system of claim 1, wherein, The humidity control device is used to determine the theoretical amount of perspiration based on the current temperature of the bionic skin when the current temperature value is greater than the set temperature value, and to control the water tank motor to rotate based on the theoretical amount of perspiration so as to draw water from the water tank into the uniform humidity layer through the through hole.
3. The system of claim 1, wherein, The temperature control device includes a first control module, a power supply module, and a temperature acquisition module, wherein, The first control module is used to determine the first heating power corresponding to the heating layer based on the set simulated temperature value of the bionic skin, and to control the power supply module to supply power to the heating layer based on the first heating power corresponding to the heating layer. The temperature acquisition module is used to acquire the temperature value collected by the temperature sampling layer, so as to use it as the current temperature value of the bionic skin.
4. The system of claim 3, wherein, The first control module is further configured to determine the temperature difference between the set simulated temperature value of the bionic skin and the current temperature value of the bionic skin, denoted as the first temperature difference value; when the first temperature difference value is greater than the preset temperature value, determine the first control parameter based on the first temperature difference value; control the power supply module based on the first control parameter to adjust the heating power corresponding to the heating layer to obtain the second heating power; and control the heating of the heating layer based on the second heating power.
5. The system of claim 1, wherein, The humidity control device includes a second control module and a humidity acquisition module, wherein, The second control module is used to determine the first rotation speed of the water tank motor based on the theoretical amount of sweat, and control the water tank motor to rotate according to the first rotation speed of the water tank motor, so as to draw water from the water tank and enter the moisture equalization layer through the through hole; The humidity acquisition module is used to acquire the humidity value of the environment around the bionic skin collected by the comfort parameter detection layer, so as to serve as the comfort parameter of the bionic skin when simulating human sweating.
6. The system of claim 5, wherein, The second control module is further configured to calculate a first water extraction volume based on the first rotational speed and the running time of the water tank motor, acquire liquid level information collected by the liquid level sensor installed in the water tank, determine liquid level change information based on the liquid level information, determine a second water extraction volume based on the liquid level change information, determine a second control parameter based on the difference between the first water extraction volume and the second water extraction volume when the difference between the first water extraction volume and the second water extraction volume is greater than a preset threshold, adjust the rotational speed of the water tank motor based on the second control parameter to obtain a second rotational speed, and control the rotation of the water tank motor based on the second rotational speed of the water tank motor.
7. The system of claim 5, wherein, The water tank also includes a third control device and a heating device, wherein... The third control device is used to determine the heating power of the heating device according to the set water temperature value, and to control the heating device to heat according to the heating power of the heating device, so that the water temperature in the water tank is maintained at the set water temperature value.
8. The system of claim 1, wherein, The temperature sampling layer includes multiple temperature sensors, among which, The temperature control device is used to acquire the temperature values collected by each temperature sensor, and to determine the average temperature value based on the temperature values collected by each temperature sensor, so as to use the current temperature value of the bionic skin.
9. The system of claim 1, wherein, The comfort parameter detection layer includes multiple humidity sensors, wherein... The humidity control device is used to acquire the humidity values collected by each humidity sensor and the setting position of each humidity sensor, and to generate information reflecting the humidity distribution based on the humidity values collected by each humidity sensor and the setting position of each humidity sensor.
10. The system of claim 1, wherein, The system also includes a host computer, which comprises a communication module, a storage module, and a display module. The communication module is used to receive the current temperature value of the bionic skin sent by the temperature control device and the comfort parameters of the bionic skin when simulating human sweating sent by the humidity control device. The storage module is used to store the current temperature value of the bionic skin sent by the temperature control device and the comfort parameters of the bionic skin when simulating human sweating sent by the humidity control device. The display module is used to display the current temperature value of the bionic skin and the comfort parameters of the bionic skin when simulating human sweating.