Intelligent temperature control method for wearable clothes

Abstract

The invention relates to the technical field of temperature control, and particularly discloses an intelligent temperature control method for wearable clothes, which comprises the following steps of: dividing the wearable clothes into an internal region and a critical region according to the structure of the wearable clothes; the critical area represents the area near the communication position of the wearable clothes and the external environment, and the communication position comprises cuffs and a neckline; acquiring a change curve f (t) of the temperature of the sensor in the critical area along with time in a preset monitoring period T, and constructing a change reference function model g (t); acquiring critical time t '; constructing a detection function G (t), wherein G (t) = f (t) and t belongs to t '; and analyzing the influence degree of the external environment on the critical area according to the image characteristics of the detection function G (t) so as to adjust the output power of the heating module in the critical area. According to the invention, the effect of separately adjusting different parts in the wearable clothes is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and in particular to an intelligent temperature control method for wearable clothing. Background Art

[0002] When the weather turns from hot to cold, you need to add clothes appropriately, especially in the cold winter, when you need to wear a lot of clothes to keep warm. Although a lot of clothes can protect you from the cold in winter, it also makes your movement inconvenient and it is more troublesome to change clothes.

[0003] Research into temperature-regulating wearable clothing initially stems from the need for human comfort and thermal management. For example, in areas with significant day-night temperature swings or harsh living environments, the question arises of how to safely, conveniently, and efficiently maintain a comfortable body temperature using clothing. These wearables primarily utilize built-in sensors to monitor real-time changes in body temperature and the external environment. Based on this data, the clothing automatically adjusts its temperature to maintain optimal comfort, tailored to the individual's needs and environmental changes.

[0004] Temperature-adjustable wearables are primarily categorized into two types based on the temperature adjustment method: manual adjustment, where the user adjusts the temperature of a specific area or the entire garment based on their preferences; and automatic adjustment, where the system adjusts the output based on temperature data transmitted by sensors to maintain a preset internal temperature. While existing automatic temperature adjustment methods can maintain a relatively stable temperature for the human body, in actual use, due to the inherent characteristics of the garment, such as the collar and cuffs, which are exposed to the external environment, the temperature fluctuations there differ from those at the chest or back, making the same temperature control strategy ineffective. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent temperature control method for wearable clothing to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A smart temperature control method for wearable clothing includes a wearable clothing and a plurality of temperature sensors disposed inside the wearable clothing. The wearable clothing is also provided with a plurality of heating modules, and comprises the following steps: According to the structure of the wearable garment, the wearable garment is divided into an internal area and a critical area; the critical area represents an area near the connection point between the wearable garment and the external environment, and the connection point includes the cuffs and the collar; Obtain the temperature change curve of the sensor in the critical area over time within the preset monitoring period T f(t), construct the variation reference function model g(t), whose specific expression is: ; Get the critical time t', where the critical time t' satisfies the following constraints: Wherein, g1 represents the preset lower limit of fluctuation, g2 represents the preset upper limit of fluctuation, and g1<0, g2>0; Construct the detection function G(t), where G(t) = f (t) and ; The degree to which the critical area is affected by the external environment is analyzed according to the image characteristics of the detection function G(t), thereby adjusting the output power of the heating module in the critical area.

[0007] As a further solution of the present invention, the specific steps of obtaining the critical area are as follows: After the wearable garment is worn, obtaining a connection point between the garment and the external environment; When the wearable garment is in normal wearing, cold air is blown in from the connecting portion, and the temperature of the cold air is T cold =T Sta -ΔT, where T Sta represents a preset stable temperature of the inner area of ​​the wearable garment, and ΔT represents a preset temperature difference; Taking the connected portion as a boundary, obtaining a minimum radiation distance between the sensor and the boundary, where the minimum radiation distance represents the length of the shortest path for the sensor to move along the inner surface of the wearable garment to the boundary; Obtain the temperature change values ​​Δt of all sensors whose minimum radiation distance is less than or equal to a preset distance, and filter out sensors whose temperature change values ​​Δt ≥ t, where t represents a preset temperature fluctuation value; Obtaining the minimum radiation distances corresponding to the screened sensors, and taking the maximum value of the minimum radiation distances as the critical distance; Taking the boundary as a starting point, a critical distance extending forward along the inner surface of the wearable clothing is used as the critical area of ​​the boundary.

[0008] As a further solution of the present invention: obtaining a temperature variation curve of the sensor in the critical area over time within a preset monitoring period T f The specific steps of (t) are as follows: Set a detection period T, where T = (t1-Δt, t1), where t1 represents the current time node and Δt represents the preset time interval; Acquire temperature data collected by all sensors within the critical area within a detection period T; Calculate the average value of the temperature data collected at the same collection time as the temperature value corresponding to the collection time. The collection time refers to the time when the sensor collects temperature data. Different sensors have the same collection frequency. Generate coordinate points based on the calculated temperature value and the corresponding acquisition time, and connect them through a smooth curve to generate a temperature change curve over time f (t).

[0009] As a further solution of the present invention, the specific steps of analyzing the image characteristics of the detection function G(t) and analyzing the degree to which the critical area is affected by the external environment are as follows: Get the function G(t), images; Calculate the fluctuation time ratio K1=dt' / T, where dt' represents the length of the interval t'; Calculate temperature setpoint deviation ; Calculate the temperature adjustment value ΔK=λKt(1+K1), where λ represents the preset correction coefficient; Adjust the stable temperature of the critical region to (T Sta +ΔK), according to the stable temperature (T Sta +ΔK) to adjust the output power of the heating module in the critical area.

[0010] As a further solution of the present invention: when the temperature setting deviation value Kt of the critical area is less than or equal to 1° C., the critical area is determined to be a stable area, and the adjustment of the output power of the heating module in the critical area is canceled.

[0011] As a further solution of the present invention: when the fluctuation time ratio K1≤0.12 and Kt>1°C, the temperature adjustment value ΔK=Kt, and the stable temperature of the critical area is adjusted to (T Sta +Kt).

[0012] As a further solution of the present invention: when adjusting the stable temperature of the critical region, when the calculated stable temperature (T Sta +ΔK) ≥ Tsa, the stable temperature of the critical area is adjusted to Tsa, where Tsa represents the preset temperature safety threshold.

[0013] As a further solution of the present invention: when adjusting the stable temperature of the critical region, when the calculated stable temperature (T Sta +ΔK)≤Tla, the stable temperature of the critical area is adjusted to Tla, where Tsa represents the preset temperature comfort threshold.

[0014] Beneficial effects of the present invention: The present invention is based on a temperature control method for wearable clothing, and the wearable clothing has a heating function. The temperature control effect can be achieved by controlling the output power of a heating module loaded on the wearable clothing. Moreover, it is worth noting that the present invention is a further improvement based on the existing temperature control technology of wearable clothing. In the existing technology, the stable temperature is preset, generally around 20-24 degrees Celsius. The temperature inside the clothing is then measured by a sensor, and the heating module is fine-tuned based on the measured temperature to ensure constant temperature. However, in actual use, due to its inherent structural characteristics, after the clothing is worn, it will inevitably be affected by the environment to varying degrees depending on the location. For example, the enclosed structure used in areas such as the chest or back is not connected to the outside world, and its internal conditions are relatively stable. Under the existing temperature control method, a stable temperature environment can be provided for the user. However, due to the needs of users, openings must be provided at the collar, cuffs, and trouser legs. In most cases, fully enclosed clothing is not suitable. These openings are inevitably more affected by the external environment than the enclosed areas. In cold environments, the temperature difference between ambient temperature and body temperature is large, and the injection of cold air will seriously affect the user's comfort. Therefore, in the present invention, the thermal insulation area provided by the wearable garment is divided into an internal area and a critical area. The internal area refers to the area in a covered state, while the critical area refers to areas such as the collar, cuffs, and trouser legs that are more severely affected by the external environment. Based on the changing characteristics of the sensors placed in the critical area within a preset monitoring cycle and the measured function fluctuation characteristics, the degree of environmental impact on the critical area is determined, and the stable temperature of the critical area is adaptively adjusted. This solves the problem of separately regulating different parts of the wearable garment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below with reference to the accompanying drawings.

[0016] Figure 1 It is a flow chart of an intelligent temperature control method for wearable clothing according to the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention is an intelligent temperature control method for wearable clothing, comprising a wearable clothing and a plurality of temperature sensors disposed inside the wearable clothing, wherein the wearable clothing is further provided with a plurality of heating modules, comprising the following steps: According to the structure of the wearable garment, the wearable garment is divided into an internal area and a critical area; the critical area represents an area near the connection point between the wearable garment and the external environment, and the connection point includes the cuffs and the collar; Obtain the temperature change curve of the sensor in the critical area over time within the preset monitoring period T f (t), construct the variation reference function model g(t), whose specific expression is: ; Obtain a critical time t', where the critical time t' satisfies the following constraints: Wherein, g1 represents the preset lower limit of fluctuation, g2 represents the preset upper limit of fluctuation, and g1<0, g2>0; Construct the detection function G(t), where G(t) = f (t) and ; The degree to which the critical area is affected by the external environment is analyzed according to the image characteristics of the detection function G(t), thereby adjusting the output power of the heating module in the critical area.

[0019] It is understood that the present invention is based on a temperature control method for wearable clothing, and the wearable clothing has a heating function, and the temperature control effect can be achieved by controlling the output power of the heating module loaded on the wearable clothing; moreover, it is also worth noting that the present invention is a further improvement made based on the existing temperature control technology of wearable clothing; In the existing technology, the stable temperature is preset, generally around 20-24 degrees Celsius. The temperature inside the clothing is then measured by a sensor, and the heating module is fine-tuned based on the measured temperature to ensure constant temperature. However, in actual use, due to its inherent structural characteristics, after the clothing is worn, it will inevitably be affected by the environment to varying degrees depending on the location. For example, the enclosed structure used in areas such as the chest or back is not connected to the outside world, and its internal conditions are relatively stable. Under the existing temperature control method, a stable temperature environment can be provided for the user. However, due to the needs of users, openings must be provided at the collar, cuffs, and trouser legs. In most cases, fully enclosed clothing is not suitable. These openings are inevitably more affected by the external environment than the enclosed areas. In cold environments, the temperature difference between ambient temperature and body temperature is large, and the injection of cold air will seriously affect the user's comfort. Therefore, in the present invention, the thermal insulation area provided by the wearable garment is divided into an internal area and a critical area. The internal area refers to the area in a covered state, while the critical area refers to areas such as the collar, cuffs, and trouser legs that are more severely affected by the external environment. Based on the changing characteristics of the sensors placed in the critical area within a preset monitoring cycle and the measured function fluctuation characteristics, the degree of environmental impact on the critical area is determined, and the stable temperature of the critical area is adaptively adjusted. This solves the problem of separately regulating different parts of the wearable garment.

[0020] Moreover, it is worth noting that different critical areas are adjusted separately because they are affected by the environment in different ways.

[0021] In a preferred embodiment of the present invention, the specific steps of obtaining the critical region are as follows: After the wearable garment is worn, obtaining a connection point between the garment and the external environment; When the wearable garment is in normal wearing, cold air is blown in from the connecting portion, and the temperature of the cold air is T cold =T Sta -ΔT, where T Sta represents a preset stable temperature of the inner area of ​​the wearable garment, and ΔT represents a preset temperature difference; Taking the connected portion as a boundary, obtaining a minimum radiation distance between the sensor and the boundary, where the minimum radiation distance represents the length of the shortest path for the sensor to move along the inner surface of the wearable garment to the boundary; Obtain the temperature change values ​​Δt of all sensors whose minimum radiation distance is less than or equal to a preset distance, and filter out sensors whose temperature change values ​​Δt ≥ t, where t represents a preset temperature fluctuation value; Obtaining the minimum radiation distances corresponding to the screened sensors, and taking the maximum value of the minimum radiation distances as the critical distance; Taking the boundary as a starting point, a critical distance extending forward along the inner surface of the wearable clothing is used as the critical area of ​​the boundary.

[0022] In this embodiment, a method for dividing a critical area is disclosed. The main purpose of dividing the critical area is to find the area inside the wearable clothing that is affected when the environmental cold current enters the wearable clothing through the boundary.

[0023] In a preferred embodiment of the present invention, a temperature variation curve of the sensor in the critical area within a preset monitoring period T is obtained. f The specific steps of (t) are as follows: Set a detection period T, where T = (t1-Δt, t1), where t1 represents the current time node and Δt represents the preset time interval; Acquire temperature data collected by all sensors within the critical area within a detection period T; Calculate the average value of the temperature data collected at the same collection time as the temperature value corresponding to the collection time. The collection time refers to the time when the sensor collects temperature data. Different sensors have the same collection frequency. Generate coordinate points based on the calculated temperature value and the corresponding acquisition time, and connect them through a smooth curve to generate a temperature change curve over time f (t).

[0024] In a preferred embodiment of the present invention, the specific steps of analyzing the image characteristics of the detection function G(t) and analyzing the degree to which the critical area is affected by the external environment are as follows: Get the function G(t), images; Calculate the fluctuation time ratio K1=dt' / T, where dt' represents the length of the interval t'; Calculate temperature setpoint deviation ; Calculate the temperature adjustment value ΔK=λKt(1+K1), where λ represents the preset correction coefficient; Adjust the stable temperature of the critical region to (T Sta +ΔK), according to the stable temperature (T Sta +ΔK) to adjust the output power of the heating module in the critical area.

[0025] In a preferred embodiment of the present invention, when the temperature setting deviation value Kt of the critical area is less than or equal to 1° C., the critical area is determined to be a stable area, and the adjustment of the output power of the heating module in the critical area is canceled.

[0026] In a preferred embodiment of the present invention, when the fluctuation time ratio K1≤0.12 and Kt>1°C, the temperature adjustment value ΔK=Kt, and the stable temperature of the critical area is adjusted to (T Sta+Kt).

[0027] In a preferred embodiment of the present invention, when adjusting the stable temperature of the critical region, the calculated stable temperature (T Sta +ΔK) ≥ Tsa, the stable temperature of the critical area is adjusted to Tsa, where Tsa represents the preset temperature safety threshold.

[0028] In a preferred embodiment of the present invention, when adjusting the stable temperature of the critical region, the calculated stable temperature (T Sta +ΔK)≤Tla, the stable temperature of the critical area is adjusted to Tla, where Tsa represents the preset temperature comfort threshold.

[0029] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent temperature control method for wearable clothing, comprising a wearable clothing and a plurality of temperature sensors disposed inside the wearable clothing, wherein the wearable clothing is further provided with a plurality of heating modules, characterized in that: The following steps are involved: According to the structure of the wearable garment, the wearable garment is divided into an internal area and a critical area; the critical area represents an area near the connection point between the wearable garment and the external environment, and the connection point includes the cuffs and the collar; Obtain the temperature change curve of the sensor in the critical area over time within the preset monitoring period T f (t), construct the variation reference function model g(t), whose specific expression is: ; Obtain a critical time t', where the critical time t' satisfies the following constraints: Wherein, g1 represents the preset lower limit of fluctuation, g2 represents the preset upper limit of fluctuation, and g1<0, g2>0; Construct the detection function G(t), where G(t) = f (t) and t∈t'; the degree to which the critical area is affected by the external environment is analyzed according to the image characteristics of the detection function G(t), thereby adjusting the output power of the heating module in the critical area.

2. The intelligent temperature control method for wearable clothing according to claim 1, characterized in that: The specific steps for obtaining the critical area are as follows: After the wearable garment is worn, obtaining a connection point between the garment and the external environment; When the wearable garment is in normal wearing, cold air is blown in from the connecting portion, and the temperature of the cold air is T cold =T Sta -ΔT, where T Sta represents a preset stable temperature of the inner area of ​​the wearable garment, and ΔT represents a preset temperature difference; Taking the connected portion as a boundary, obtaining a minimum radiation distance between the sensor and the boundary, where the minimum radiation distance represents the length of the shortest path for the sensor to move along the inner surface of the wearable garment to the boundary; Obtain the temperature change values ​​Δt of all sensors whose minimum radiation distance is less than or equal to a preset distance, and filter out sensors whose temperature change values ​​Δt ≥ t, where t represents a preset temperature fluctuation value; Obtaining the minimum radiation distances corresponding to the screened sensors, and taking the maximum value of the minimum radiation distances as the critical distance; Taking the boundary as a starting point, a critical distance extending forward along the inner surface of the wearable clothing is used as the critical area of ​​the boundary.

3. The intelligent temperature control method for wearable clothing according to claim 2, characterized in that: Obtain the temperature change curve of the sensor in the critical area over time within the preset monitoring period T f The specific steps of (t) are as follows: Set a detection period T, where T = (t1-Δt, t1), where t1 represents the current time node and Δt represents the preset time interval; Acquire temperature data collected by all sensors within the critical area within a detection period T; Calculate the average value of the temperature data collected at the same collection time as the temperature value corresponding to the collection time. The collection time refers to the time when the sensor collects temperature data. Different sensors have the same collection frequency. Generate coordinate points based on the calculated temperature value and the corresponding acquisition time, and connect them through a smooth curve to generate a temperature change curve over time f (t).

4. The intelligent temperature control method for wearable clothing according to claim 2, characterized in that: The specific steps of analyzing the image characteristics of the detection function G(t) and analyzing the degree to which the critical area is affected by the external environment are as follows: Get the function G(t), images; Calculate the fluctuation time ratio K1=dt' / T, where dt' represents the length of the interval t'; Calculate temperature setpoint deviation ; Calculate the temperature adjustment value ΔK=λKt(1+K1), where λ represents the preset correction coefficient; Adjust the stable temperature of the critical region to (T Sta +ΔK), according to the stable temperature (T Sta +ΔK) to adjust the output power of the heating module in the critical area.

5. The intelligent temperature control method for wearable clothing according to claim 4, characterized in that: When the temperature setting deviation value Kt of the critical area is less than or equal to 1° C., the critical area is determined to be a stable area, and the adjustment of the output power of the heating module in the critical area is canceled.

6. The intelligent temperature control method for wearable clothing according to claim 4, characterized in that: When the fluctuation time ratio K1≤0.12 and Kt>1℃, the temperature adjustment value ΔK=Kt, and the stable temperature of the critical area is adjusted to (T Sta +Kt).

7. The intelligent temperature control method for wearable clothing according to claim 4, characterized in that: When adjusting the stable temperature of the critical region, the calculated stable temperature (T Sta +ΔK) ≥ Tsa, the stable temperature of the critical area is adjusted to Tsa, where Tsa represents the preset temperature safety threshold.

8. The intelligent temperature control method for wearable clothing according to claim 4, characterized in that: When adjusting the stable temperature of the critical region, the calculated stable temperature (T Sta +ΔK)≤Tla, the stable temperature of the critical area is adjusted to Tla, where Tsa represents the preset temperature comfort threshold.

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