Intelligent temperature control clothing fusing human state perception and environment parameter monitoring

Abstract

The application relates to the field of intelligent temperature control clothes, and discloses an intelligent temperature control clothes integrating human body state sensing and environment parameter monitoring, which comprises a clothes body, a heating cloth, a plurality of temperature and humidity sensors, an acceleration sensor, a main controller and a flexible battery, microenvironment data and instantaneous acceleration components are respectively collected and input into the main controller for calculation to obtain average temperature, average humidity and human body motion state, the main controller is preset with a maximum humidity threshold value, when the average humidity is greater than the maximum humidity threshold value, a conventional regulation branch is locked and the output power of the heating cloth is limited; when the average humidity is less than or equal to the maximum humidity threshold value, the output power of the heating cloth is dynamically adjusted in combination with the average temperature and the motion state, and a composite packaging layer composed of a nylon mesh cloth and a microporous waterproof film covers the outside of the sensor. The application builds a dehumidification priority mechanism and a self-adaptive energy compensation model, avoids the risk of stuffiness caused by continuous heating, and simultaneously meets the waterproof and breathable requirements of the sensor and the machine washing requirement.

Description

Technical Field

[0001] This invention relates to the field of intelligent temperature-controlled clothing technology, specifically to an intelligent temperature-controlled garment that integrates human body state perception and environmental parameter monitoring. Background Technology

[0002] With improved living standards and increased health awareness, the public's functional demands for clothing are gradually shifting from basic warmth and coverage to comfort and smart features. In cold environments, traditional clothing primarily relies on the physical insulation properties of its materials for passive warmth, with a constant thermal resistance that cannot dynamically respond to environmental fluctuations and the body's metabolic activity. When wearers are in a high-metabolic state, such as during strenuous exercise, the body generates a large amount of heat, and clothing with fixed thermal resistance can hinder heat dissipation and cause severe stuffiness; conversely, in a low-metabolic state, insufficient basic insulation can easily trigger cold stress.

[0003] To address the aforementioned dynamic thermal balance issues, existing technologies have developed active intelligent temperature-controlled clothing with built-in heating elements. However, these technologies still suffer from several technical shortcomings in practical applications. Traditional intelligent heating clothing largely relies on manual operation by the wearer to switch heating levels, which is cumbersome and difficult to accurately match the body's transient physiological needs. While some improvements have incorporated temperature or humidity sensors, the lack of comprehensive perception and joint calculation of the body's movement state results in overly simplistic control logic. When faced with sudden changes in metabolic heat production and perspiration humidity caused by exercise, such systems often exhibit delayed response or blind output, easily leading to overheating, exacerbating stuffiness and sweating, causing a sharp decline in comfort and unnecessarily increasing battery consumption. Furthermore, the integration of existing electronic sensing components with flexible clothing substrates still suffers from severe physical incompatibility. Conventional packaging structures cannot simultaneously meet the requirements of microclimate moisture permeability sampling and the water resistance requirements of daily machine washing. Sensor components are easily damaged by liquid sweat or water washing impacts, severely hindering the long-term reliability and practical application of intelligent temperature-controlled clothing. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent temperature-controlled garment that integrates human body state perception and environmental parameter monitoring. This solves the problems of existing intelligent temperature-controlled garments, which lack comprehensive dynamic adjustment of human body movement state and micro-environment temperature and humidity, resulting in blind heating, easy stuffiness and sweating, and internal sensors that cannot simultaneously achieve physical water resistance and breathable sampling.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution: an intelligent temperature-controlled garment that integrates human body state perception and environmental parameter monitoring, comprising a garment body, a heating cloth disposed on the inner side of the garment body, multiple temperature and humidity sensors, an acceleration sensor fixed at the waist position of the garment body, a main controller, and a flexible battery.

[0006] The multiple temperature and humidity sensors and the acceleration sensor are all communicatively connected to the input terminal of the main controller. The output terminal of the main controller is electrically connected to the heating cloth. The flexible battery is electrically connected to each power-consuming component to provide power.

[0007] The main controller is used to calculate the average temperature and average humidity based on the local temperature data and local humidity data collected by the multiple temperature and humidity sensors respectively; and to determine the human motion state based on the instantaneous acceleration component collected by the acceleration sensor.

[0008] The main controller has a preset maximum humidity threshold that represents the human body's microenvironment being in a stuffy state. When the average humidity is greater than the maximum humidity threshold, the main controller will first limit the output power of the heating cloth. When the average humidity is less than or equal to the maximum humidity threshold, the main controller will dynamically adjust the output power of the heating cloth in combination with the average temperature and the human body's movement state.

[0009] As a further improvement to the aforementioned technical solution, the temperature and humidity sensor is externally encapsulated with a composite encapsulation layer. The composite encapsulation layer comprises a nylon mesh layer and a polypropylene microporous waterproof and breathable film layer, stacked sequentially from the outside in. The surface of the nylon mesh layer has penetrating physical pores, and the interior of the polypropylene microporous waterproof and breathable film layer has three-dimensionally interwoven microporous channels. The physical cross-sectional diameter of the microporous channels is larger than the diameter of gaseous water vapor molecules and smaller than the diameter of the smallest droplet formed by liquid water under surface tension.

[0010] Its innovative principle lies in utilizing the hydrophobic properties and pore size difference barrier of the material to maintain the diffusion of water vapor concentration gradient while generating reverse capillary resistance to external washing liquid and liquid sweat released from the body, thus achieving chip-level gas-liquid physical isolation.

[0011] As a further improvement to the aforementioned technical solution, the instantaneous acceleration components include three instantaneous acceleration components along three mutually orthogonal axes. Specifically, when the main controller determines the human motion state, it is used to: receive the three instantaneous acceleration components along the three mutually orthogonal axes; perform a square root operation on the sum of squares of the three instantaneous acceleration components to obtain the absolute value of instantaneous acceleration after eliminating static gravity interference from the wearable posture; within a set sliding time window, count the number of physical alternations of the waveform curve of the continuously calculated absolute value of instantaneous acceleration as it crosses the boundary of the reference wave peak; and calculate the ratio of the number of physical alternations to the duration of the sliding time window to obtain the acceleration change frequency.

[0012] As a further improvement to the aforementioned technical solution, the main controller is pre-stored with a first modulus threshold, a second modulus threshold, a first frequency threshold, and a second frequency threshold for distinguishing human motion intensity. When determining the human motion state, the main controller is also used for: When the absolute value of the instantaneous acceleration is less than the first modulus threshold and the frequency of acceleration change is less than the first frequency threshold, the human body motion state is determined to be a stationary state. When the absolute value of the instantaneous acceleration is within the closed interval formed by the first modulus threshold and the second modulus threshold, or when the frequency of acceleration change is within the closed interval formed by the first frequency threshold and the second frequency threshold, the human motion state is determined to be a mild motion state. When the absolute value of the instantaneous acceleration is greater than the second modulus threshold and the frequency of acceleration change is greater than the second frequency threshold, the human body's motion state is determined to be a state of intense motion.

[0013] Its innovative principle lies in accurately identifying discrete human motion activity through dual joint constraint calculation of time-domain frequency characteristics and spatial modulus characteristics.

[0014] As a further improvement to the technical solution, the specific operation of limiting the output power of the heating cloth includes: when it is confirmed that the average humidity is greater than the maximum humidity threshold, the main controller locks the comparison branch for the average temperature and the human body movement state, and generates a frequency reduction or power-off control signal to clamp the output power of the heating cloth to a preset minimum maintenance power, or cuts off the power supply circuit to the heating cloth so that the output power of the heating cloth is zero.

[0015] As a further improvement to the aforementioned technical solution, the main controller monitors the changes in the average humidity value during continuous control cycles. When the average humidity drops to less than or equal to the maximum humidity threshold, the main controller releases the lockout for determining the average temperature and the human body's movement state. Its innovative principle lies in establishing a hardware-level dehumidification and anti-suffocation interruption priority mechanism, breaking the loop limitation of blind heating in conventional temperature control systems.

[0016] As a further improvement to the aforementioned technical solution, the main controller has a preset lower temperature threshold for determining whether to activate heating. The specific operation of dynamically adjusting the output power of the heating cloth based on the average temperature and the human body's movement state includes: When it is confirmed that the average humidity is less than or equal to the maximum humidity threshold and the average temperature is less than the lower limit threshold, the target heating temperature is mapped based on the human motion state. When the human body is in the stationary state, the target heating temperature is assigned a high target temperature. When the human body is in the light motion state, the target heating temperature is assigned the value of the medium target temperature; When the human body is in the state of intense exercise, the target heating temperature is assigned a low target temperature. The physical setting values ​​of the high target temperature, the medium target temperature, and the low target temperature decrease sequentially.

[0017] As a further improvement to the aforementioned technical solution, after assigning the target heating temperature, the main controller extracts the target heating temperature and performs a subtraction operation on the average temperature to obtain the temperature difference. The main controller generates a duty cycle control electrical signal based on the temperature difference and outputs it to the heating fabric, adjusting the power supply conduction time of the heating fabric and thus changing its output power. Its innovative principle lies in enabling the clothing's heating power output to dynamically complement the body's basal metabolic heat and the heat generated by exercise, achieving intelligent and adaptive temperature field energy compensation.

[0018] As a further improvement to the aforementioned technical solution, the main controller integrates a wireless communication module, which is used to establish a two-way wireless data link with an external mobile terminal. The wireless communication module receives parameter update commands from the external mobile terminal and sends the custom maximum humidity threshold extracted from the parameter update commands to the main controller, thereby overriding the original maximum humidity threshold.

[0019] As a further improvement to the technical solution, the heating cloth is installed on the front, back and abdomen areas of the inside of the garment body; the multiple temperature and humidity sensors are distributed on the front, back and abdomen of the garment body, and the detection ends face the internal space of the garment body; the main controller is installed in the sandwich structure inside the garment body, and the flexible battery is fixed to the inner cuff area of ​​the garment body.

[0020] This invention provides an intelligent temperature-controlled garment that integrates human body state sensing and environmental parameter monitoring. It has the following beneficial effects: This invention constructs a dynamic temperature control logic and dehumidification priority mechanism based on multi-source data fusion. The main controller integrates multi-point temperature and humidity data and triaxial acceleration features to identify the motion state, and prioritizes cutting off or limiting the power supply to the heating cloth when the average humidity exceeds the threshold. This mechanism not only achieves precise energy compensation by automatically matching the target heating temperature according to the real-time metabolic level of the human body, effectively reducing system energy consumption and extending battery life, but also avoids the risk of stuffiness and dehydration caused by continuous heating in high humidity environments from the logic level, maintaining the physiological comfort of the microclimate.

[0021] The temperature and humidity sensor of the present invention is externally covered by a composite encapsulation layer composed of nylon mesh and polypropylene microporous waterproof and breathable film. The difference in the physical cross-sectional diameter of the microporous channels is used to construct a water-blocking and breathable barrier. This structure allows the electronic detection component to support regular machine washing and resist direct corrosion of liquid sweat, while still allowing gaseous water vapor molecules to pass through smoothly. It perfectly balances the long-term physical protection of the sensor and the timeliness of humidity data acquisition.

[0022] This invention deeply integrates a flexible battery, heating fabric, and a multi-node sensor array distributed in key areas into the garment itself, and establishes a two-way data link with an integrated wireless communication module. This structure and hardware layout, while ensuring the garment's flexible fit and ease of washing, care, and disassembly, eliminates blind spots in data collection from a single data source and supports dynamic updates of environmental threshold parameters from external mobile terminals, achieving a high degree of unity between system sensing accuracy, ease of wear and maintenance, and freedom of interaction. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a schematic diagram of the physical signal acquisition and environmental characteristic quantity calculation process of the present invention; Figure 3 This is a schematic diagram illustrating the decision logic of the dehumidification and anti-sultryness priority mechanism of the present invention; Figure 4 This is a schematic diagram of the adaptive temperature matching and drive power regulation closed-loop logic of the present invention. Detailed Implementation

[0024] The technical solutions in 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.

[0025] See attached document Figure 1 The present invention provides an intelligent temperature-controlled garment, which may include: a garment body 1, a temperature and humidity sensor 2, an acceleration sensor 3, a main controller 4, a heating cloth 5, and a flexible battery 6.

[0026] The garment body 1 is made of flexible and breathable fabric. A heating fabric 5 is provided on the inner surface of the garment body 1. The heating fabric 5 is made of flexible carbon nanofiber heating fabric. The heating fabric 5 is distributed on the chest, back, and abdomen areas of the inner side of the garment body 1. The heating fabric 5 is attached to the garment body 1.

[0027] The garment body 1 is equipped with multiple temperature and humidity sensors 2 inside. The multiple temperature and humidity sensors 2 are distributed in an array and fixed at the front, back and abdomen of the garment body 1. The detection ends of the temperature and humidity sensors 2 face the internal space of the garment body 1.

[0028] An accelerometer 3 is fixed at the waist of the garment body 1. The installation height of the accelerometer 3 is aligned with the horizontal line of the waist of the garment body 1.

[0029] The garment body 1 has an internal sandwich structure, within which the main controller 4 is installed. The main controller 4 integrates a data processing module, a wireless communication module, and a driver module.

[0030] The flexible battery 6 is fixed inside the pocket of the garment body 1. The end of the flexible battery 6 is provided with a USB charging interface.

[0031] The flexible battery 6 is electrically connected to the temperature and humidity sensor 2, the acceleration sensor 3, the main controller 4, and the heating cloth 5 via wires. The data output terminals of the multiple temperature and humidity sensors 2 and the data output terminals of the acceleration sensor 3 are respectively connected to the input terminal of the data processing module of the main controller 4. The output terminal of the drive module inside the main controller 4 is electrically connected to the control terminal of the heating cloth 5.

[0032] The temperature and humidity sensor 2 is covered by a composite encapsulation layer. The composite encapsulation layer is a closed cavity structure, and the sensing element of the temperature and humidity sensor 2 is located inside this closed cavity structure. The composite encapsulation layer is fixed to the inner surface of the garment body 1 by physical stitching or adhesive layer.

[0033] The composite encapsulation layer comprises a nylon mesh layer and a polypropylene microporous waterproof and breathable membrane layer, stacked sequentially from the outside in. The nylon mesh layer is located on the outermost surface of the composite encapsulation layer and is in direct contact with the interior space of the garment body 1. The nylon mesh layer is woven from nylon fiber yarns, and its surface has regularly distributed physical mesh holes that penetrate its own thickness direction.

[0034] A polypropylene microporous waterproof and breathable membrane layer is tightly bonded to the inside of the nylon mesh layer. The outer edge of the nylon mesh layer and the outer edge of the polypropylene microporous waterproof and breathable membrane layer are sealed together by a heat-pressing process, forming a continuous edge-sealed area. The electrical wires of the temperature and humidity sensor 2 pass through this edge-sealed area, and the joint between the electrical wires and the laminated materials is filled with waterproof insulating sealant.

[0035] The main material of the polypropylene microporous waterproof and breathable membrane layer has three-dimensionally interwoven micropore channels distributed inside. The physical cross-sectional diameter of the micropore channels is larger than the diameter of gaseous water vapor molecules, and smaller than the diameter of the smallest droplet formed by liquid water under the action of surface tension.

[0036] In a real physical environment, gaseous water vapor molecules inside the garment body 1 are introduced through the physical mesh of the nylon mesh layer, and pass through the three-dimensional interlaced micropore channels of the polypropylene microporous waterproof and breathable film layer to reach the interior of the cavity structure and contact the detection surface of the temperature and humidity sensor 2.

[0037] In a physical environment containing liquid water, the liquid water passes through the physical mesh of the nylon mesh layer and comes into contact with the outer surface of the polypropylene microporous waterproof and breathable membrane layer. Because the physical cross-sectional diameter of the micropore channels is smaller than the diameter of the liquid water droplets, the liquid water is blocked on the outside of the polypropylene microporous waterproof and breathable membrane layer and cannot enter the cavity structure of the composite encapsulation layer. The hardware of the temperature and humidity sensor 2 is physically isolated from the external liquid water.

[0038] The three-dimensional interlaced microporous channels within the polypropylene microporous waterproof and breathable film layer constitute the physical transport path for gaseous substances. When water vapor emitted by the human body is present in the internal space of the garment body 1, a water vapor concentration gradient and partial pressure difference are formed between the local space outside the composite encapsulation layer and the closed cavity inside the composite encapsulation layer. Under the action of the partial pressure difference, gaseous water vapor molecules diffuse from the internal space of the garment body 1 to the internal cavity of the composite encapsulation layer. The physical diameter of the gaseous water vapor molecules is smaller than the physical cross-sectional diameter of the three-dimensional interlaced microporous channels. The gaseous water vapor molecules pass through these microporous channels to reach the detection surface of the temperature and humidity sensor 2, causing the temperature and humidity sensor 2 to output a corresponding humidity electrical signal.

[0039] The polypropylene microporous waterproof and breathable membrane layer is made of hydrophobic polymer material. Under natural conditions without external pressure or during regular washing, when liquid water comes into contact with the outer surface of the polypropylene microporous waterproof and breathable membrane layer, the contact angle between the liquid water and the membrane layer surface is greater than 90 degrees. Under the action of its own surface tension, the liquid water contracts at the outer surface of the membrane layer and maintains a droplet shape.

[0040] The physical diameter of a liquid water droplet is larger than the physical cross-sectional diameter of the microporous channels in the polypropylene microporous waterproof and breathable membrane layer. Under the combined physical effects of hydrophobic properties and surface tension, capillary resistance is generated at the ports of the microporous channels, acting in the opposite direction to the liquid water's immersion. When the external water pressure does not exceed the critical value of this capillary resistance, the liquid water cannot undergo sufficient physical deformation to enter the microporous channels.

[0041] Due to the difference in physical pore size and capillary resistance, liquid water is confined to the outside of the polypropylene microporous waterproof and breathable membrane layer. The internal cavity of the composite encapsulation layer where the temperature and humidity sensor 2 is located is physically isolated from the external liquid water environment, thereby maintaining a unidirectional gas transmission channel for water vapor diffusion inward while meeting the conditions for water washing operations.

[0042] See attached document Figure 2This invention provides a method for physical signal acquisition and environmental characteristic quantity calculation of intelligent temperature-controlled clothing, which may include: The data processing module inside the main controller 4 controls the temperature and humidity sensor 2 and the accelerometer 3 to perform synchronous sampling. The data processing module of the main controller 4 sends microenvironment acquisition commands to the multiple temperature and humidity sensors 2 distributed inside the garment body 1 according to the preset sampling period, and at the same time sends motion state acquisition commands to the accelerometer 3 integrated at the waist of the garment body 1.

[0043] Evenly distributed on the chest, back, and abdomen of the garment body 1 Each temperature and humidity sensor 2 responds to a micro-environment acquisition command. The detection end of each temperature and humidity sensor 2 acquires instantaneous physical signals within its respective local spatial range in real time, obtaining... Group local temperature data and local humidity data.

[0044] No. The local temperature value collected and output by temperature and humidity sensor 2 is defined as... The collected and output local humidity value is defined as , where the symbol It is a positive integer and satisfies the condition. The main controller 4's data processing module receives data in real time via electrical wires or a data bus. Group local temperature value With local humidity value .

[0045] The data processing module receives Group local temperature value Then, the internally preset arithmetic mean calculation rule is invoked to superimpose and evenly distribute all local temperature values ​​within the sampling period, thereby calculating the overall average temperature inside the clothing within the current period. Average temperature The mathematical expression is as follows: ; The data processing module receives Group local humidity value Then, the internally preset arithmetic mean calculation rules are invoked synchronously to superimpose and evenly distribute all local humidity values ​​within the sampling period, thereby calculating the overall average humidity inside the clothing within the current period. Average humidity The mathematical expression is as follows: ; An accelerometer 3, located at the waist of the garment 1, responds to motion acquisition commands. The accelerometer 3 measures the spatial motion parameters of the human body in three-dimensional space in real time and outputs instantaneous acceleration components along three mutually orthogonal axes. These three components are defined as follows: , and The data processing module of the main controller 4 receives instantaneous acceleration components in real time. , as well as The data signal.

[0046] The data processing module receives the instantaneous acceleration components. , , The data is input to the module length calculation unit. The module length calculation unit performs square root operations on the acceleration components along the three spatial axes, thereby eliminating interference from changes in the direction of gravitational acceleration on the wearer's posture, and calculating the instantaneous absolute value of acceleration at the current moment. Absolute value of instantaneous acceleration The mathematical expression is as follows: ; The data processing module constructs a sliding time window with a fixed duration in its internal temporary register. In the sliding time window During the physical cycle of operation, the data processing module continuously calculates the absolute value of instantaneous acceleration. The signal waveform is monitored. The data processing module calculates the absolute value of instantaneous acceleration in real time. The number of physical alternations that the waveform curve undergoes when it crosses the boundary of the reference wave crest is recorded as the number of alternations. .

[0047] The data processing module will change the number of alternations. The value and the sliding time window The ratio of the duration values ​​is used to extract the acceleration change frequency that reflects the current human motion characteristics. Frequency of acceleration change The mathematical expression is as follows: ; The data processing module calculates the average temperature within each sampling period. Average humidity Absolute value of instantaneous acceleration and the frequency of acceleration change The data are combined to form a multidimensional feature data vector, which is then temporarily stored in a data register to serve as input parameters for the system to perform subsequent motion classification and heating control law calculations.

[0048] This invention provides a method for classifying human motion states. The data processing module inside the main controller 4 performs the following classification processing steps based on the acquired feature parameters: The non-volatile storage unit inside the data processing module of the main controller 4 pre-sets and stores two sets of boundary judgment threshold parameters for state classification. The first set is the absolute value of acceleration judgment parameters, including the first modulus threshold. Second modulus threshold Satisfying in numerical order The second group consists of parameters for determining the frequency of acceleration changes, including the first frequency threshold. Second frequency threshold Satisfying in numerical order .

[0049] The data processing module reads the absolute value of instantaneous acceleration output from the current temporary register. and the frequency of acceleration change Then, the comparison calculator is activated. The comparison calculator will calculate the instantaneous absolute value of acceleration. Each with the first modulus threshold and the second modulus threshold Perform numerical comparison operations; simultaneously, the comparison unit compares the acceleration change frequency. respectively with the first frequency threshold and the second frequency threshold Perform a comparison operation on the numerical values.

[0050] The data processing module receives the Boolean result output by the comparison arithmetic unit and executes conditional branch decision logic. When the input parameters meet the first set condition, the data processing module will use the variables representing the human body's motion state within the system. Determine and assign the value to the static state. The first setting condition is specifically: the absolute value of instantaneous acceleration. Strictly less than the first modulus threshold And the frequency of acceleration change Strictly less than the first frequency threshold The above logical relationship can be expressed as: if and ,but .

[0051] When the input parameters do not meet the first set condition, but meet the second set condition, the data processing module will use the variables representing the human body's motion state within the system. Determine and assign the value of mild motion state. The second condition is specifically: the absolute value of instantaneous acceleration. The value is within the first modulus threshold. With the second modulus threshold Within the closed interval formed, or, the frequency of acceleration change The value is at the first frequency threshold. With the second frequency threshold Within the closed interval formed. The above logical relationship is expressed as: If or ,but .

[0052] When the input parameters do not meet the first and second set conditions, but meet the third set condition, the data processing module will use the variables representing the human body's motion state within the system. Determine and assign the value of "vigorous motion state". The third condition is specifically: the absolute value of instantaneous acceleration. Strictly greater than the second modulus threshold And the frequency of acceleration change Strictly greater than the second frequency threshold The above logical relationship can be expressed as: if and ,but .

[0053] After completing the judgment and assignment operations for any of the above conditional branches, the data processing module generates a data set carrying the current discretized human motion state. The data processing module sends this status data packet to the input buffer register of the driver module via the system bus inside the main controller 4. This represents the human motion state. The variable will serve as the direct pre-input parameter for the subsequent execution of target temperature calculation and output power adjustment of heating cloth 5 by the drive module.

[0054] See attached document Figure 3 The present invention provides a decision-making method for controlling the heating power of intelligent temperature-controlled clothing. This decision-making process is executed first by the drive module inside the main controller 4.

[0055] The maximum humidity threshold is preset and stored in the non-volatile memory unit inside the main controller 4. Maximum humidity threshold This serves as the boundary parameter for the main controller 4 to determine whether the internal physical space of the garment body 1 needs to undergo forced dehumidification.

[0056] The drive module inside the main controller 4 reads the average humidity output from the data processing module via the internal data bus during each control cycle. Average temperature and variables characterizing the discrete motion state of the human body The driver module's instruction execution sequence includes priority blocking logic. Upon receiving the aforementioned multi-dimensional feature data, this priority blocking logic forcibly modifies the average humidity... It is used as the primary condition for judgment in the calculation.

[0057] The logic comparison unit inside the drive module will read the average humidity in real time. With the maximum humidity threshold of storage Perform a numerical comparison. The result of the comparison will show the average humidity. Strictly greater than the maximum humidity threshold At that time, the drive module triggers a dehumidification priority interrupt instruction in the internal system.

[0058] During the physical control cycle when the dehumidification priority interrupt instruction is active, the drive module performs a bypass operation on the logic control loop, directly skipping and blocking the average temperature. The comparison branch checks if the value is below a set lower limit, and simultaneously stops calling the human motion state variable. The drive module does not reference the current actual average temperature. Under these conditions, hardware-level frequency reduction or power-off control signals can be directly generated.

[0059] The drive module outputs the aforementioned frequency reduction or power-off control signal to the control terminal of the heating cloth 5 via an electrical connection cable. Upon receiving this control signal, the heating cloth 5 adjusts its actual output power according to its internal circuit characteristics. Adjust and clamp to the preset minimum sustaining power. .

[0060] The mathematical expression for the control logic described above is: If The output power of heating cloth 5 is... .

[0061] In a specific circuit implementation, the minimum sustaining power The physical value can be configured to zero. At this time, the electronic switch inside the drive module is activated, physically cutting off the power supply circuit from the flexible battery 6 to the heating cloth 5, thus stopping the Joule heating effect of the heating cloth 5.

[0062] Heating cloth 5 maintains minimum power In zero-power operation, the internal space of the garment body 1 stops receiving additional physical heat input. Liquid sweat from the human body surface and gaseous water vapor accumulated in the internal space of the garment body 1 permeate and diffuse into the external natural environment through the physical micropores of the flexible breathable fabric of the garment body 1, causing the physical humidity value of the internal environment of the garment body 1 to decrease.

[0063] The logic comparison unit of the drive module continuously monitors the average humidity during consecutive control cycles. The numerical change. When the logic comparison unit compares and determines the current average humidity... The value has dropped to less than or equal to the maximum humidity threshold. When the value is within the specified range, the drive module cancels the dehumidification priority interrupt command inside the system and releases the interruption for the average temperature. and motion state variables The decision to lock out was made. The drive module then resumed retrieving the temporarily stored average temperature. This guides the system control flow into the adaptive power regulation computation branch based on ambient temperature and motion state.

[0064] See attached document Figure 4 This invention provides a method for intelligent temperature-controlled clothing power adjustment based on motion state feedback. The closed-loop control process is executed by the drive module inside the main controller 4.

[0065] When the logic comparison unit of the drive module confirms the current average humidity Less than or equal to the maximum humidity threshold Then, the driver module releases the system lockout on the temperature determination process. The second logic comparison unit inside the driver module reads the average temperature temporarily stored in the data processing module. And compare it with the temperature limit threshold pre-stored in the non-volatile memory cell. Perform numerical comparison calculations.

[0066] When the numerical comparison results show the average temperature Greater than or equal to the lower limit threshold of temperature At this time, the drive module determines that the internal environment of the garment body 1 has not met the hardware heating start-up conditions. The drive module generates a lockout control signal, reducing the output power of the heating cloth 5. Limit and clamp to minimum sustaining power .

[0067] When the numerical comparison results show the average temperature Strictly less than the lower limit threshold of temperature At this time, the drive module triggers the adaptive temperature matching algorithm unit. This algorithm unit reads the variables representing the current discrete motion state of the human body through the bus system inside the main controller 4. .

[0068] The driver module's memory has three target heating temperature parameters preset and partitioned: high target temperature. Target temperature and low target temperature Within the physically defined numerical order of magnitude, the three parameters described above satisfy a strict decreasing relationship, i.e. .

[0069] The adaptive temperature matching algorithm unit adjusts the input state variables. Execute target heating temperature The mapping assignment operation. When the input state variable... At rest At that time, the algorithm unit will target the heating temperature. Assigned value: high target temperature .

[0070] When the input state variable Mild exercise state At that time, the algorithm unit will target the heating temperature. Assigned value: target temperature .

[0071] When the input state variable In a state of intense exercise At that time, the algorithm unit will target the heating temperature. Assigned value: low target temperature .

[0072] The above is based on state variables The target heating temperature dynamic matching mapping rule has the following corresponding mathematical expression: ; To achieve the target heating temperature After calculation and assignment, the arithmetic logic unit inside the driver module extracts the target heating temperature. The value is related to the current actual average temperature. The values ​​are then subtracted to obtain the temperature difference between them.

[0073] The pulse width modulation generator inside the driver module receives the temperature difference data and calls the preset transfer function. The pulse width modulation generator is based on the transfer function. The output duty cycle control signal is directly related to the temperature difference. The drive module outputs this duty cycle control signal to the control terminal of the heating cloth 5 through electrical wires.

[0074] After receiving the duty cycle control electrical signal, the internal circuit of the heating cloth 5 adjusts the power supply conduction time and input current of the flexible carbon nanofiber heating cloth according to the duty cycle parameter, thereby changing the physical output power of the heating cloth 5. At this time, the physical output power of the heating cloth 5 is... Follow the following mathematical control laws: ; Heating cloth 5 at the above output power Driven by this, Joule heat is released into the inside of the garment body 1. With the continuous input of physical heat, the actual average temperature inside the garment body 1... The data undergoes a physical change.

[0075] In the next sampling control cycle of the continuous loop, the arrayed temperature and humidity sensors 2 will collect updated local temperature data and send it back to the data processing module. The main controller 4 will then process the updated average temperature data. The system re-executes feature quantity calculations, threshold comparisons, and power output calculations based on real-time motion status, thereby establishing a physical-level closed-loop control system between sensor inputs and heating cloth outputs.

[0076] This invention provides a wireless interaction and workflow control method for intelligent temperature-controlled clothing, which may include: The main controller 4 integrates a wireless communication module, which establishes a two-way wireless data link with the external mobile terminal via electromagnetic wave signals. After completing the calculation of environmental characteristics and classification of human motion states for each sampling cycle, the data processing module inside the main controller 4 processes the calculated average temperature. Average humidity and variables characterizing human motion state The data is encapsulated as a real-time status data packet. This real-time status data packet is sent to the wireless communication module through the system bus inside the main controller 4. The wireless communication module then transmits the real-time status data packet to an external mobile terminal via a bidirectional wireless data link, where it is digitally displayed in real time on the external mobile terminal's screen.

[0077] The external mobile terminal generates a parameter update command in response to the user's external input operation. This parameter update command contains a user-defined maximum humidity threshold. and lower temperature threshold The physical values. The wireless communication module receives parameter update commands and decodes physical layer data, extracting the custom maximum humidity threshold. and lower limit threshold of temperature The data is sent to the non-volatile memory unit of the main controller 4. The non-volatile memory unit overwrites the original boundary parameters with the newly received threshold value. The drive module and data processing module inside the main controller 4 directly call the updated maximum humidity threshold in the next sampling control cycle. and lower temperature threshold Proceed with the subsequent conditional branch determination.

[0078] The entire intelligent temperature-controlled clothing system operates as a closed-loop adjustment process involving the coordinated efforts of hardware architecture and control algorithms. During the initial system operation phase, the wearer is stationary, and an accelerometer 3 fixed at the waist of the garment 1 collects and transmits spatial acceleration parameters in real time. The data processing module calculates the instantaneous absolute value of the acceleration. Less than the first modulus threshold And the frequency of acceleration change Less than the first frequency threshold The data processing module determines the current motion state variables of the human body. .

[0079] At this time, temperature and humidity sensors 2, arranged in an array inside the garment 1, collect and transmit real-time local microclimate data from inside the garment. The data processing module calculates the average humidity. Less than or equal to the maximum humidity threshold This satisfies the activation conditions for the temperature regulation branch. If the calculated average temperature at this time... Less than the lower limit threshold of temperature The drive module inside the main controller 4 triggers the adaptive temperature matching algorithm unit. The algorithm unit adjusts the current motion state variables... Heat the target temperature Dynamic mapping assigns the highest target temperature setting. The pulse width modulation generator inside the driver module is based on the transfer function. A corresponding duty cycle control electrical signal is generated and output to the control terminal of the heating cloth 5 via a wire. The current output by the flexible battery 6 is fed into the heating cloth 5 according to the duty cycle control electrical signal, and the heating cloth 5 outputs the corresponding power. It releases Joule heat to precisely heat the chest, back, and abdomen areas of the garment body 1.

[0080] When the wearer transitions from a static state to a state of vigorous motion, the accelerometer 3 detects high-frequency, high-intensity three-dimensional spatial motion. The data processing module receives the instantaneous acceleration components, extracts features, and calculates the absolute value of the instantaneous acceleration. It becomes greater than the second modulus threshold. And the frequency of acceleration change Greater than the second frequency threshold The data processing module then processes the human motion state variables at the logic layer. The updated value is assigned to the state of intense exercise. The drive module detected a variable within the current control cycle. The change immediately raises the target heating temperature. The mapping relationship is changed to low target temperature. Due to increased heat production caused by human movement, the actual average temperature inside the clothing body 1... Increase and reach a temperature lower limit threshold. At the specified level, the drive module generates a lockout control signal, which controls the output power of the heating cloth 5. Reduce and clamp to minimum sustaining power This avoids localized overheating.

[0081] As strenuous exercise continues, liquid sweat begins to seep from the wearer's skin. The gaseous water vapor accumulated inside the garment 1 diffuses through the nylon mesh layer and polypropylene microporous waterproof and breathable membrane layer covering the temperature and humidity sensor 2, reaching the sensor's detection surface. The data processing module calculates the average humidity... The humidity level continued to rise and exceeded the maximum humidity threshold. At this point, the priority blocking logic of the internal drive module of the main controller 4 is activated, and the system operates without referencing the actual average temperature. With motion state variables Under these conditions, the power supply circuit from the flexible battery 6 to the heating cloth 5 is directly cut off, forcibly reducing the actual output power of the heating cloth 5. The limit is zero. The heating fabric 5 completely stops physical heat release, and the water vapor accumulated inside the garment 1 diffuses into the external environment through the micropores of the flexible, breathable fabric, achieving autonomous moisture removal without additional temperature rise. When the average humidity reported by the temperature and humidity sensor 2... Returning to a level less than or equal to the maximum humidity threshold When the interrupt lockout state is lifted, the main controller 4 will resume the multi-dimensional characteristic combined temperature control regulation, completing a complete closed-loop control cycle.

Claims

1. A smart temperature-controlled garment integrating human body state perception and environmental parameter monitoring, characterized in that, Includes a clothing body (1), a heating cloth (5) disposed inside the clothing body (1), multiple temperature and humidity sensors (2), an acceleration sensor (3) fixed to the waist of the clothing body (1), a main controller (4), and a flexible battery (6). The multiple temperature and humidity sensors (2) and the acceleration sensor (3) are all connected to the input terminal of the main controller (4). The output terminal of the main controller (4) is electrically connected to the heating cloth (5). The flexible battery (6) is electrically connected to each power-consuming component to provide power. The main controller (4) is used to calculate the average temperature and average humidity based on the local temperature data and local humidity data collected by the multiple temperature and humidity sensors (2), and to determine the human motion state based on the instantaneous acceleration component collected by the acceleration sensor (3). The main controller (4) has a preset maximum humidity threshold that represents the human body microenvironment in a hot and humid state. When the average humidity is greater than the maximum humidity threshold, the main controller (4) will preferentially limit the output power of the heating cloth (5). When the average humidity is less than or equal to the maximum humidity threshold, the output power of the heating cloth (5) is dynamically adjusted in combination with the average temperature and the human body movement state.

2. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 1, characterized in that, The temperature and humidity sensor (2) is covered with a composite encapsulation layer, which includes a nylon mesh layer and a polypropylene microporous waterproof and breathable film layer stacked sequentially from the outside to the inside. The surface of the nylon mesh layer is distributed with through-hole physical mesh, and the interior of the polypropylene microporous waterproof and breathable film layer is distributed with three-dimensional interlaced micropore channels. The physical cross-sectional diameter of the micropore channels is larger than the diameter of gaseous water vapor molecules and smaller than the diameter of the smallest droplet formed by liquid water under the action of surface tension.

3. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 1, characterized in that, The instantaneous acceleration components include three instantaneous acceleration components along three mutually orthogonal axes; The main controller (4) is specifically used to determine the human motion state as follows: Receive the instantaneous acceleration components along the three mutually orthogonal axes, and perform a mathematical operation of the sum of squares and square roots on the three instantaneous acceleration components to obtain the absolute value of the instantaneous acceleration; Within a set sliding time window, the number of physical alternations that the waveform curve of the instantaneous absolute value of acceleration continuously calculates crosses the boundary of the reference wave peak is counted. The ratio of the number of physical alternations to the duration of the sliding time window is calculated to obtain the acceleration change frequency.

4. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 3, characterized in that, The main controller (4) is pre-stored with a first modulus threshold, a second modulus threshold, a first frequency threshold, and a second frequency threshold for distinguishing human motion intensity. When determining the human motion state, the main controller (4) is also used for: When the absolute value of the instantaneous acceleration is less than the first modulus threshold and the frequency of acceleration change is less than the first frequency threshold, the human body motion state is determined to be a stationary state. When the absolute value of the instantaneous acceleration is within the closed interval formed by the first modulus threshold and the second modulus threshold, or when the frequency of acceleration change is within the closed interval formed by the first frequency threshold and the second frequency threshold, the human motion state is determined to be a mild motion state. When the absolute value of the instantaneous acceleration is greater than the second modulus threshold and the frequency of acceleration change is greater than the second frequency threshold, the human body's motion state is determined to be a state of intense motion.

5. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 1, characterized in that, The specific operations for limiting the output power of the heating cloth (5) include: When it is confirmed that the average humidity is greater than the maximum humidity threshold, the main controller (4) locks the comparison branch for the average temperature and the human body movement state, and generates a frequency reduction or power-off control signal to clamp the output power of the heating cloth (5) to the preset minimum maintenance power, or cuts off the power supply circuit to the heating cloth (5) so that the output power of the heating cloth (5) is zero.

6. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 5, characterized in that, The main controller (4) monitors the change in the average humidity value during a continuous control cycle. When the average humidity drops to less than or equal to the maximum humidity threshold, the main controller (4) releases the judgment lock for the average temperature and the human movement state.

7. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 4, characterized in that, The main controller (4) has a preset lower temperature threshold for determining whether to start heating. The specific operation of dynamically adjusting the output power of the heating cloth (5) in combination with the average temperature and the human body's movement state includes: When it is confirmed that the average humidity is less than or equal to the maximum humidity threshold and the average temperature is less than the lower limit threshold, the target heating temperature is mapped based on the human motion state. When the human body is in the stationary state, the target heating temperature is assigned a high target temperature. When the human body is in a state of light exercise, the target heating temperature is assigned a medium target temperature; when the human body is in a state of vigorous exercise, the target heating temperature is assigned a low target temperature. The physical setting values ​​of the high target temperature, the medium target temperature, and the low target temperature decrease sequentially.

8. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 7, characterized in that, After the main controller (4) completes the assignment of the target heating temperature, it extracts the target heating temperature and the average temperature and performs a subtraction operation to obtain the temperature difference. The main controller (4) generates a duty cycle control electrical signal based on the temperature difference and outputs it to the heating cloth (5) to adjust the power supply conduction time of the heating cloth (5) and thereby change the output power of the heating cloth (5).

9. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 1, characterized in that, The main controller (4) has an integrated wireless communication module, which is used to establish a two-way wireless data link with an external mobile terminal. The wireless communication module receives a parameter update instruction from an external mobile terminal and sends the custom maximum humidity threshold extracted from the parameter update instruction to the main controller (4) to overwrite the original maximum humidity threshold.

10. The intelligent temperature-controlled clothing integrating human body state perception and environmental parameter monitoring according to claim 1, characterized in that, The heating cloth (5) is installed on the front chest, back and abdomen area inside the garment body (1); The multiple temperature and humidity sensors (2) are distributed on the front, back and abdomen of the garment body (1), and the detection ends face the internal space of the garment body (1); The main controller (4) is installed in the sandwich structure inside the garment body (1), and the flexible battery (6) is fixed to the inner cuff area of ​​the garment body (1).

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