A method for determining the effective heating rate of an intelligent heating garment

Abstract

The application discloses a kind of effective heating rate determination methods of intelligent heating clothes, it is related to clothing performance test technical field, comprising: determine the surface of warm body dummy each monitoring site covered by the intelligent heating clothes to be measured;Warm body dummy is preheated to target initial skin temperature, record the output power of warm body dummy self heating system at this time;Record the measured initial skin temperature of warm body dummy at the moment of starting heating, real-time monitoring temperature data of each monitoring site on the surface of warm body dummy;Record the temperature rising duration required for each monitoring site on the surface of warm body dummy from measured initial skin temperature first reaches target comfortable temperature;Based on temperature rising duration, the effective heating rate of each monitoring site is calculated, the application provides the effective heating rate test means of quantifiable, reproducible, comparable for the first time to intelligent heating clothes, identifies the influence of heating element layout on local heating performance, provides basis for product design optimization.

Description

Technical Field

[0001] This invention relates to the field of clothing performance testing technology, specifically a method for determining the effective heating rate of intelligent heated clothing. Background Technology

[0002] Smart heated clothing actively generates heat through built-in flexible heating elements, providing rapid thermal compensation for wearers in low-temperature environments. The heating rate is a key indicator of a product's heating response speed, directly affecting the time it takes for users to achieve thermal comfort in cold environments.

[0003] Currently, there is a lack of unified testing methods in the industry for the heating performance of smart heated clothing under wearing conditions. The main problems are as follows: (1) Inconsistent testing conditions: Different manufacturers use different ambient temperatures, initial temperatures and test sites, which makes it impossible to compare heating rate data horizontally; (2) Vague evaluation indicators: Some use "felt heating time" as a qualitative description, which lacks objective quantification; some simply take the overall average heating value, ignoring the heating differences in different areas; (3) Ignoring regional differences: When the heating element layout is uneven, the heating rate of different parts varies significantly. A single overall indicator cannot reflect the local heating performance and is difficult to guide the optimization design of the heating element layout; (4) Disconnected from the usage scenario: The actual factors such as the clothing coverage area and human thermal comfort temperature are not considered, and the test results deviate greatly from the actual wearing experience. Summary of the Invention

[0004] To overcome the deficiencies in the prior art, this invention provides a method for measuring the effective heating rate of intelligent heated clothing. To achieve the above objective, this invention adopts the following technical solution, including: S1, wearing the intelligent heated clothing to be tested on the surface of a heated mannequin, and determining the monitoring parts of the heated mannequin surface covered by the clothing; S2, under set environmental conditions, preheating the heated mannequin to the target initial skin temperature, and recording the output power of the heated mannequin's own heating system after the heated mannequin reaches dynamic thermal equilibrium; S3, keeping the environmental conditions and output power unchanged, turning on the heating function of the intelligent heated clothing to be tested, recording the measured initial skin temperature of the heated mannequin at the moment heating is turned on, and monitoring the temperature data of each monitoring part on the surface of the heated mannequin in real time; S4, setting a target comfort temperature, and recording the heating time required for each monitoring part on the surface of the heated mannequin to first reach the target comfort temperature from the measured initial skin temperature; S5, calculating the effective heating rate of each monitoring part based on the heating time and the difference between the measured initial skin temperature and the target comfort temperature.

[0005] Preferably, based on the surface area covered by each monitoring part, the effective heating rate of each monitoring part is weighted and averaged to calculate the comprehensive effective heating rate of the smart heated garment to be tested.

[0006] Preferably, the dynamic thermal balance determination criterion in step S2 is: the average temperature fluctuation of each monitored part of the warm body dummy is less than 0.5℃ and the duration is greater than 5 minutes.

[0007] Preferably, the output power is controlled and the heating power density is kept constant at 60 W / m² to simulate the heat production of human body at rest.

[0008] Preferably, the initial skin temperature is lower than the target comfort temperature.

[0009] Preferably, the acquisition frequency for real-time monitoring and recording of temperature data is no less than once per second.

[0010] Preferably, the preset target comfort temperature is 34°C, which is the comfortable temperature of human torso skin.

[0011] Preferably, the sampling frequency for the target initial skin temperature and the target comfort temperature is not less than 1 time / second.

[0012] Preferably, the set environmental conditions include: an ambient temperature of any value within the range of -5℃ to -35℃, a relative humidity of 50±20%RH, and an ambient wind speed of 0.4±0.1m / s.

[0013] Preferably, the monitoring areas in step S1 include the chest, abdomen, back, and shoulders, and the surface area of ​​each monitoring area is determined based on the actual size of the warm-body dummy.

[0014] The advantages of this invention are: (1) This application proposes the evaluation index of "effective heating rate". Unlike existing component-level tests that take the component's own rated temperature as the endpoint, this invention proposes the "effective heating rate" index for the first time. It takes the human skin comfort temperature as the heating target and directly quantifies the clothing's effective response ability to heat the wearer from a cold state to a thermally comfortable state, thus solving the problem of the disconnect between laboratory tests and real user experience.

[0015] (2) This application monitors the heating process of multiple clothing-covered areas such as the chest, abdomen, back, and shoulders, and can output the independent heating rate of each area. This feature can intuitively reflect the uniformity of the heating element layout and identify local heating insufficiency (such as slow heating in the shoulders), providing a quantitative basis for product design optimization, which is superior to the traditional method that only provides a single overall average value.

[0016] (3) It is applicable to various intelligent heating garments of different brands, structures and heating element layouts, and has good universality. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a method for measuring the effective heating rate of intelligent heated clothing, as provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] This invention aims to provide an accurate and repeatable method for testing the effective heating rate of intelligent heated clothing. This method uses a heated mannequin to simulate human skin temperature, with a target temperature of comfortable human skin (e.g., 34°C). By monitoring the time it takes for the surface temperature of the area covered by the clothing to rise from its initial value to the target temperature, the effective heating rate of each area is calculated. A weighted average can then be used to obtain the overall effective heating rate of the entire garment. This addresses the problems of existing methods, such as uncontrollable initial temperature, vague evaluation indicators, neglect of regional differences, and disconnect from user experience.

[0020] In the material-level testing of heating elements, relevant standards have been established to specify the heating rate of the elements. For example, the IEC 60571 standard for rail transit electronic equipment includes temperature rise test requirements. However, element-level testing has the following limitations: (1) Different test objects: Element-level testing only places the heating element in free air for measurement, without considering the cushioning effect of clothing fabric, heat transfer path, and wearing conditions. (2) Different environmental conditions: Element testing is usually carried out in a normal temperature environment, while the actual use scenario is a low temperature environment. (3) Different evaluation endpoints: Element testing takes the element itself reaching the rated temperature as the endpoint, while users are concerned with when the body surface temperature reaches a comfortable state. (4) Neglecting human factors: Factors such as human metabolic heat production and clothing thermal resistance are not considered, and the test results deviate greatly from the actual wearing experience.

[0021] Unlike existing technologies that use component-level temperature rise testing, this invention is the first to explicitly define the concept of "effective temperature rise rate," using the comfortable temperature of human skin (e.g., 34°C) as the temperature rise target, directly quantifying the actual temperature rise effect of clothing on the human body surface when worn. This indicator uses human thermal comfort as the evaluation endpoint, solving the problem of the disconnect between component testing and user experience, and has clear engineering and physical significance.

[0022] The effective heating rate is defined as: under specified test conditions, the average temperature change per unit time from the moment the intelligent heating garment's heating function is activated until the surface temperature of the area covered by the heated dummy garment first rises from the initial temperature (e.g., 32°C, the lower limit of human skin comfort temperature) to the human torso skin comfort temperature (e.g., 34°C), measured in degrees Celsius per second (°C / s). This indicator is used to quantitatively evaluate the effective response capability of intelligent heating garments in heating the wearer from a cold state to a thermally comfortable state.

[0023] like Figure 1 As shown, one embodiment of this application employs a two-stage control strategy: In the first stage, a constant-temperature mode is used to precisely control the skin temperature of the heated dummy at the lower limit of the human skin comfort temperature (32°C), providing a uniform and stable initial target skin temperature for testing. In the second stage, the mode switches to constant-power mode, where the dummy heats itself at a constant power, maintaining only the initial target skin temperature without further temperature adjustment. Temperature changes at various monitoring points on the dummy's surface depend entirely on the coupling effect of clothing heating and environmental heat dissipation. After clothing heating is activated, the time it takes for the surface temperature of each monitoring point to rise to the human torso's comfortable skin temperature is recorded, and the heating rate is calculated. This method ensures the consistency of initial conditions through constant-temperature preheating and ensures that changes in the dummy's surface temperature only reflect the contribution of clothing heating through constant-power mode, thereby accurately quantifying the clothing's effective response capability in heating the wearer from a cold state to a thermally comfortable state. Specifically, the following steps are included: S1. The smart heating garment to be tested is worn on the surface of the heated mannequin to determine the monitoring parts of the heated mannequin surface covered by the smart heating garment to be tested.

[0024] First, the mannequin is dressed in smart heating clothing to ensure that the heating module fits well with the monitoring area. The mannequin's arms hang naturally at its sides, simulating a normal standing posture.

[0025] In one embodiment of this application, a heated mannequin with independent temperature control in different zones is used. This mannequin supports both a constant temperature operating mode and a constant power operating mode, which can be switched during testing to simulate the skin temperature changes of a human body in a thermally comfortable state. In constant temperature operating mode, the heating system of the heated mannequin automatically adjusts the output power of its internal heating modules based on the ambient temperature and the skin temperature changes of each monitored area of ​​the mannequin to maintain a constant surface temperature. In constant power mode, the heating system of the heated mannequin maintains a fixed output power.

[0026] In one embodiment of this application, the surface of the heated dummy is divided into multiple independent regions (such as chest, abdomen, back, and shoulders), and each region is equipped with an independent temperature sensor and heating element, which can monitor the surface temperature changes of each region separately.

[0027] In one embodiment of this application, the monitoring site should be determined based on the actual coverage area of ​​the electrically heated garment under test. For typical torso-covering electrically heated garments (such as heated vests and jackets), the heating elements are usually located in core areas such as the chest, abdomen, back, and shoulders, and these areas are selected as the monitoring sites. If the garment under test is a localized heating product (such as heated waist supports or heated knee pads), the monitoring site should be adjusted to the actual human body area covered by the garment. This embodiment of the application uses a common torso-covering electrically heated garment as an example for illustration.

[0028] S2, under the set environmental conditions, preheat the warm body dummy to the target initial skin temperature. After the warm body dummy reaches dynamic thermal equilibrium, record the output power of the warm body dummy's own heating system at this time.

[0029] The test was conducted in an artificial climate chamber. Before the test, the climate chamber was started, and the environmental parameters of the artificial climate chamber were set to the specified values. The environmental conditions (ambient temperature, humidity, and wind speed) were recorded after stabilization. For example, the settings were based on the applicable environment of the smart heated clothing to be tested (such as -5℃, -15℃, -25℃, -35℃, etc.); relative humidity: (50±20)%RH; ambient wind speed: (0.4±0.1)m / s.

[0030] After the heated dummy enters a dynamic thermal equilibrium state, the output power of the heated dummy's own heating system is measured. The criteria for determining dynamic thermal equilibrium are: the average surface temperature fluctuation of the heated dummy does not exceed ±0.5℃, and the fluctuation of the input power of the controlled area of ​​each covered area of ​​the dummy is stable within ±3%, with a duration of not less than 5 minutes.

[0031] S3, keeping the environmental conditions and output power unchanged, turns on the heating function of the smart heating garment under test, records the measured initial skin temperature of the warm body dummy at the moment the heating is turned on, and monitors the temperature data of each monitoring part on the surface of the warm body dummy in real time.

[0032] Keeping the environmental conditions of the artificial climate chamber and the output power of the heating system of the heated dummy constant, turn on the heating function of the intelligent heating clothing (the test level can be selected as needed, such as low, medium, or high), and record the measured initial skin temperature of the heated dummy at the moment the heating is turned on. Simultaneously, start the timer. Activate the temperature monitoring system, with a data acquisition frequency of no less than once per second, recording the temperature data of each monitoring point in real time.

[0033] S4, set the target comfort temperature, and record the time required for each monitored part of the heated mannequin's surface to reach the target comfort temperature from the measured initial skin temperature.

[0034] For each monitoring point, its surface temperature is continuously monitored, and the first time the set target temperature is reached is recorded. (In this embodiment, the temperature is set to 34°C). At the same time, the timer is stopped, and the time elapsed from the start of heating to that moment is calculated and recorded as the heating time Δt.

[0035] S5 calculates the effective heating rate of each monitored area based on the heating time and the difference between the measured initial skin temperature and the target comfortable temperature.

[0036] Effective heating rate of each monitoring point The calculation formula is: ; in, The effective heating rate of the i-th monitoring point is expressed in degrees Celsius per second (°C / s). for achieve The required heating time is measured in seconds (s).

[0037] Furthermore, if the effective heating rate of the entire intelligent heated garment is required... The weighted average of the surface areas of each monitored location is calculated using the following formula: ; Among them, the surface area of ​​each monitoring point is measured. (unit: ), calculate the total area ; No. i Weight of each part for: .

[0038] In this embodiment, a smart heated garment (vest style) was tested at an ambient temperature of -25°C. The monitoring areas were the chest, abdomen, back, and shoulders. The test data are shown in Table 1.

[0039] Table 1. Test results of the effective heating rate of intelligent heated clothing

[0040] but 0.008495℃ / s.

[0041] This invention precisely controls the initial target temperature on the surface of the dummy using a constant temperature mode, solving the problem of uncontrollable initial target temperature in a pure constant power mode. When switching to constant power mode, the dummy heats itself with a constant power and no longer adjusts the temperature. The change in the surface temperature of the dummy is determined only by the coupling effect of clothing heating and environmental heat dissipation, thereby eliminating the interference of the dummy's own closed-loop regulation on the heating process and ensuring that the measurement results directly reflect the contribution of clothing heating.

[0042] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for determining the effective heating rate of intelligent heated clothing, characterized in that, include: S1, The smart heating garment to be tested is worn on the surface of the heated mannequin, and the monitoring parts of the heated mannequin surface covered by the smart heating garment to be tested are determined. S2, under the set environmental conditions, preheat the warm body dummy to the target initial skin temperature. After the warm body dummy reaches dynamic thermal equilibrium, record the output power of the warm body dummy's own heating system at this time. S3, keeping the environmental conditions and output power unchanged, turn on the heating function of the smart heating garment to be tested, record the measured initial skin temperature of the warm body dummy at the moment the heating is turned on, and monitor the temperature data of each of the monitoring parts in real time. S4, Set the target comfort temperature, and record the time required for each monitored part of the surface of the heated mannequin to reach the target comfort temperature for the first time from the measured initial skin temperature; S5. Based on the heating time and the difference between the measured initial skin temperature and the target comfortable temperature, the effective heating rate of each monitoring part is calculated.

2. The method for determining the effective heating rate of intelligent heated clothing according to claim 1, characterized in that, Based on the surface area covered by each monitoring point, the effective heating rate of each monitoring point is weighted and averaged to calculate the comprehensive effective heating rate of the smart heated garment under test.

3. The method for determining the effective heating rate of intelligent heated clothing according to claim 1, characterized in that, The dynamic thermal balance determination criterion in step S2 is: the average temperature fluctuation of each monitored part of the warm body dummy is less than 0.5℃ and the duration is greater than 5 minutes.

4. The method for determining the effective heating rate of intelligent heated clothing according to claim 1, characterized in that, The target initial skin temperature is determined by the output power, and the heating power density of the output power is kept constant at 60 W / m² to simulate the resting metabolic heat production of the human body.

5. The method for determining the effective heating rate of intelligent heated clothing according to claim 1, characterized in that, The target initial skin temperature is lower than the target comfort temperature.

6. The method for determining the effective heating rate of intelligent heated clothing according to claim 5, characterized in that, The target initial skin temperature is the lower limit of the comfortable temperature for human skin, which is 32°C.

7. The method for determining the effective heating rate of intelligent heated clothing according to claim 5, characterized in that, The target comfort temperature is 34°C, which is the comfortable temperature of human torso skin.

8. The method for determining the effective heating rate of intelligent heated clothing according to claim 1, characterized in that, The target comfort temperature data is collected at a frequency of no less than once per second.

9. The method for determining the effective heating rate of intelligent heated clothing according to claim 1, characterized in that, The set environmental conditions include: an ambient temperature of any value within the range of -5℃ to -35℃, a relative humidity of 50±20%RH, and an ambient wind speed of 0.4±0.1m / s.

10. The method for determining the effective heating rate of intelligent heated clothing according to claim 1, characterized in that, The monitoring areas in step S1 include the chest, abdomen, back, and shoulders, and the surface area of ​​each monitoring area is determined based on the actual dimensions of the warm-body dummy.

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