Intelligent individual temperature adjustment method and device

Abstract

The present application relates to a kind of intelligent individual temperature adjustment method and equipment, belong to intelligent environment control and wearable technology field.The present application comprehensively controls the operating power of refrigeration device by PSI physiological stress index and the temperature and humidity data of the microenvironment obtained, so that refrigeration device operates in the power corresponding to the higher level data in PSI physiological stress index and the temperature and humidity data of microenvironment.The present application simultaneously considers PSI physiological stress index and the temperature and humidity data of microenvironment, and temperature adjustment based on the data of the two dimensions effectively solves the technical problems that fixed temperature threshold control cannot perceive individual physiological state, response lag, and easily lead to excessive refrigeration or heating in prior art, and further realizes accurate grading dynamic control according to real-time thermal stress level of human body, and significantly improves thermal comfort experience and individual adaptability.

Description

Technical Field

[0001] This invention relates to an intelligent individual temperature regulation method and device, belonging to the field of intelligent environmental control and wearable technology. Background Technology

[0002] In modern office, home, and in-vehicle environments, precise temperature control is crucial for ensuring human thermal comfort and health. Especially during prolonged work or rest periods, the human body experiences varying thermal stress responses due to factors such as activity intensity, clothing changes, and circadian rhythms. This metabolic heat production process directly impacts an individual's perceived temperature needs. To ensure thermal comfort for different individuals, efficient intelligent environmental control technology has become a key support for industry development. Currently, widely used environmental control technologies are primarily based on fixed temperature and humidity threshold judgment mechanisms. Sensors collect ambient temperature and humidity data in real time; when the monitored temperature exceeds a pre-set threshold, the system automatically activates cooling or heating equipment to maintain uniform thermal conditions within the space. With technological advancements, some new solutions incorporate wearable device concepts, such as smart clothing integrating miniature cooling units and flexible sensors. These garments achieve localized temperature regulation through direct contact with the human body, attempting to improve individual thermal comfort. These technologies, due to their relatively simple principles and ease of implementation, have found some application in air conditioning systems and smart wearables.

[0003] However, the above solutions still have the following problems: 1) Lack of physiological sensing: Traditional systems cannot sense the actual heat stress level of the human body (such as the PSI physiological stress index). In a shared space or during individual exercise, cooling is activated only based on the ambient temperature, which may cause individuals with lower metabolic rates to feel too cold, or individuals with higher metabolic rates (such as people who have just finished exercising) to not dissipate heat sufficiently; 2) Delayed regulation: Changes in ambient temperature often lag behind changes in human body temperature, resulting in untimely temperature regulation response; 3) Energy waste or poor comfort: Existing wearable cooling devices mostly rely on manual adjustment and lack refined automatic control strategies, which can easily lead to energy waste or physical discomfort caused by excessive cooling.

[0004] To address this, some have proposed incorporating user physiological parameters into the control process. For example, Chinese patent application CN107894064A discloses a method, apparatus, device, and storage medium for temperature regulation based on a wearable device. This method includes: detecting the user's physiological parameters; determining whether the user is asleep based on the detected physiological parameters; monitoring the ambient temperature of the user's environment when the user is asleep; confirming whether the ambient temperature exceeds a first preset temperature; and adjusting the temperature of an air conditioner connected to the wearable device according to a preset first adjustment temperature when the ambient temperature exceeds the first preset temperature. This allows for real-time and precise temperature regulation of the air conditioner while the user is asleep, improving the temperature control effect. While this solution considers the influence of physiological parameters, it only uses these parameters to determine sleep status; the air conditioner control remains based on ambient temperature, failing to fundamentally consider the individual's needs, resulting in a poor user experience. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent individual temperature regulation method and device to solve the problem that current intelligent individual temperature regulation methods do not take into account the influence of individual physiological conditions, resulting in a poor user experience.

[0006] To solve the above-mentioned technical problems, the present invention provides an intelligent individual temperature regulation method, which includes the following steps: The PSI physiological stress index is calculated based on the physiological parameters of the target user. The PSI physiological stress index is a comprehensive physiological indicator that characterizes the current heat stress level of the human body. By combining the physiological stress index (PSI) and the acquired temperature and humidity data of the microenvironment, the operating power of the cooling device is controlled so that the cooling device operates at a power corresponding to a higher level of the PSI and microenvironment temperature and humidity data, in order to meet the cooling needs of the target user.

[0007] Furthermore, when controlling the cooling device, control is performed based on the level of the PSI physiological stress index and the level of the microenvironment temperature and humidity data. The PSI physiological stress index is divided into N PSI levels, and the microenvironment temperature and humidity data are divided into N environmental levels. The PSI level of the current PSI physiological stress index and the environmental level of the real-time temperature and humidity data of the microenvironment are determined and compared. The cooling device is controlled according to the cooling device control level corresponding to the highest level of the two. The higher the PSI physiological stress index, the higher the PSI level; the higher the temperature and humidity data of the microenvironment, the higher the environmental level. N is greater than or equal to 2.

[0008] Furthermore, the PSI physiological stress index is determined based on the difference between the target user's current skin temperature and normal skin temperature, as well as the difference between the current heart rate and normal heart rate. The higher the current skin temperature, the greater the PSI physiological stress index; the higher the current heart rate, the greater the PSI physiological stress index.

[0009] Furthermore, controlling the cooling device according to the highest level of the two control levels includes: when the control level is higher, monitoring the PSI physiological stress index; when the PSI physiological stress index falls back to the level corresponding to the lower level and remains stable for a preset delay time, gradually reducing the operating power of the cooling device; during the power reduction process, continuously monitoring the target user's PSI physiological stress index and real-time temperature and humidity data; if the PSI physiological stress index rises by more than a preset hysteresis value, immediately restoring the cooling device to its original power operation.

[0010] Furthermore, the method also includes controlling the cooling module to shut down and controlling the fan module to maintain low-power standby operation when it is detected that the target user has not used the device for a first set time and the corresponding PSI physiological stress index remains below the lowest level; when it is detected that the target user has used the device and the PSI physiological stress index rises to the lowest level or above, the cooling module is immediately restored to operation and the control level of the cooling module and the fan speed of the fan module are calculated based on the current PSI physiological stress index and real-time temperature and humidity data; the cooling device includes a cooling module and a fan module.

[0011] Furthermore, the method also includes a manual control mode, in which the user-input cooling device control level is compared with the cooling device control level determined based on the PSI setting and the ambient setting. If the difference between the two levels exceeds two levels, a prompt message is generated and the user is requested to confirm. If no confirmation signal is received within a second set time, the system automatically switches back to the automatic control mode. If the difference between the two levels does not exceed two levels, the system controls the cooling device according to the user-input cooling device control level.

[0012] Furthermore, the method also includes constructing a personal thermal comfort profile for the target user. The personal thermal comfort profile is used to store mapping data of historical time periods, usage status, PSI physiological stress index, and corresponding preferred control levels. During real-time control, the current time period is identified. If similar historical data is matched in the personal thermal comfort profile, the control level corresponding to the historical data is preferentially called as the preset value and corrected in combination with the real-time PSI physiological stress index.

[0013] Furthermore, when the cooling device includes wearable smart cooling clothing, the method also includes generating a control signal synchronously based on the detected skin temperature to drive a micro-cooling unit in the wearable smart cooling clothing to maintain the thermal comfort level of the target user.

[0014] The beneficial effects of this invention are as follows: This invention integrates the PSI (Physiological Stress Index) and the acquired temperature and humidity data of the microenvironment to control the operating power of the cooling device, enabling the cooling device to operate at the power corresponding to the higher levels of the PSI and microenvironment temperature and humidity data. This invention simultaneously considers both the PSI and microenvironment temperature and humidity data, and temperature regulation based on these two dimensions effectively solves the technical problems of existing technologies where fixed temperature threshold control cannot perceive individual physiological states, has a delayed response, and easily leads to overcooling or overheating. Therefore, it achieves precise, graded, and dynamic regulation based on the real-time thermal stress level of the human body, and significantly improves thermal comfort and individual adaptability.

[0015] The present invention also provides an intelligent personal temperature control device, which includes a physiological sensing unit, an environmental sensing unit, and a control processing unit. The physiological sensing unit is used to acquire the physiological parameters of the target user and send them to the control processing unit. The environmental sensing unit is used to acquire the temperature and humidity data of the microenvironment and send them to the control processing unit. The control processing unit is used to control the cooling device according to the above-described intelligent personal temperature control method.

[0016] Furthermore, the intelligent personal temperature control device also includes a communication display unit, which is connected to the control processing unit to display the current microenvironment temperature and humidity, the calculated PSI physiological stress index, and the operating status of the cooling device.

[0017] The beneficial effects of this invention are: This invention simultaneously considers the physiological stress index (PSI) and the temperature and humidity data of the microenvironment. Based on these two dimensions of data, it effectively solves the technical problems of existing technologies where fixed temperature threshold regulation cannot perceive individual physiological states, has a delayed response, and is prone to overcooling or heating. This enables precise and dynamic regulation based on the real-time thermal stress level of the human body, and significantly improves thermal comfort experience and individual adaptability. Attached Figure Description

[0018] Figure 1 This is a flowchart of the intelligent individual temperature regulation method of the present invention; Figure 2 This is a schematic diagram of the hardware implementation circuit of the intelligent individual temperature control device of the present invention; Figure 3 This is a schematic diagram of the smart workwear vest in an embodiment of the present invention; Among them, 1 is the main control chip, 2 is the motor driver chip, 3 is the OLED display, 4 is the temperature and humidity sensor, 5 is the photoresistor (LDR1), 6 is the motor, 7 is the buzzer, 8 is the light-emitting diode (D1), 9 is the button, 10 is the serial terminal, 11 is the serial communication interface module, 12 is the transistor (Q1), 13 is the relay (RL1), 14 is the digital temperature sensor, 15 is the LM358 dual operational amplifier, 16 is the signal generator, 17 is the flexible semiconductor refrigeration chip, 18 is the fan, and 19 is the battery. Detailed Implementation

[0019] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0020] This invention introduces the PSI (Physiological Stress Index) for intelligent individual temperature control, which eliminates the discomfort caused by sudden cooling and reduces ineffective energy consumption, achieving a dual optimization of thermal comfort and energy efficiency in the human microenvironment.

[0021] Implementation of Intelligent Individual Temperature Regulation Method The intelligent individual temperature regulation method of this invention first calculates the PSI (Physiological Stress Index) based on the acquired physiological parameters of the target user. Then, it controls the operating power of the cooling device by combining the PSI and the acquired temperature and humidity data of the microenvironment, so that the cooling device operates at a power corresponding to the higher level of the PSI and microenvironment temperature and humidity data, thereby meeting the cooling needs of the target user. The implementation process of this method is as follows: Figure 1 As shown below, a detailed explanation will follow.

[0022] 1. Obtain physiological parameters and temperature and humidity data of the target user's microenvironment.

[0023] The physiological parameters collected by the target user in this invention include skin temperature and heart rate. In this embodiment, skin temperature is collected using a digital temperature sensor attached to the user's back or armpit, and heart rate is collected using a photoelectric pulse sensor. Alternatively, other feasible devices can be used to collect skin temperature and heart rate.

[0024] The temperature and humidity data of the microenvironment are collected by a temperature and humidity sensor located on the outside of the refrigeration equipment. The collected microenvironment temperature can be denoted as T. env The collected relative humidity can be recorded as RH. The refrigeration equipment can be thermoelectric (semiconductor) refrigeration equipment, compression refrigeration equipment, etc.

[0025] 2. Calculate the PSI (Physiological Stress Index) based on the obtained physiological parameters of the target users.

[0026] The Physiological Stress Index (PSI) is a comprehensive physiological indicator used to characterize the current level of heat stress in the human body. Therefore, this invention uses collected physiological parameters to calculate the PSI. In this embodiment, the PSI is determined based on the difference between the target user's current skin temperature and normal skin temperature, and the difference between the current heart rate and normal heart rate. The higher the current skin temperature, the greater the PSI; the higher the current heart rate, the greater the PSI. Based on extensive research, this embodiment presents the relationship between PSI and physiological parameters, specifically: PSI = 5 × (T CT – T C0 ) / (39.5 - T C0 ) + 5 × (H RT - H R0 ) / (180 - H R0 ) Among them, T CT T represents the current skin temperature. C0 Initial skin temperature (also called normal skin temperature, i.e., skin temperature at room temperature); H RT H is the current heart rate. R0 This is the initial heart rate (also called the normal heart rate, which is the heart rate at room temperature without strenuous exercise).

[0027] 3. Adjust the temperature based on the PSI physiological stress index and the temperature and humidity data of the microenvironment.

[0028] The operating power of the cooling device is controlled by combining the physiological stress index (PSI) and the acquired temperature and humidity data of the microenvironment, ensuring that the cooling device operates at the higher power level corresponding to the PSI and microenvironment temperature and humidity data. In specific control, control is performed based on the PSI and microenvironment temperature and humidity levels. The PSI is divided into N PSI levels, and the microenvironment temperature and humidity data are divided into N environmental levels. The current PSI level and the real-time temperature and humidity data of the microenvironment are compared, and the cooling device is controlled according to the highest level. A higher PSI corresponds to a higher PSI level, and higher microenvironment temperature and humidity data corresponds to a higher environmental level, where N is greater than or equal to 2. If N is 3, if the PSI value is ≥ PSI threshold 1, the PSI level is set to level 3; otherwise, it checks if the PSI value is ≥ PSI threshold 2, and if so, the PSI level is set to level 2; otherwise, it checks if the PSI value is ≥ PSI threshold 3, and if so, the PSI level is set to level 1; otherwise, subsequent logic does not trigger any PSI-related levels and the system directly enters the off state. Ambient temperature and humidity judgment: If the ambient temperature and humidity are ≥ set value 1, the ambient temperature and humidity level is set to level 3; otherwise, it checks if the ambient temperature and humidity are ≥ set value 2, and if so, the ambient temperature and humidity level is set to level 2; otherwise, it checks if the ambient temperature and humidity are ≥ set value 3, and if so, the ambient temperature and humidity level is set to level 1; otherwise, subsequent logic does not trigger any ambient temperature and humidity-related levels and the system directly enters the off state. When any parameter exceeds the first threshold, a high-level rapid cooling is immediately initiated; in the second and third threshold ranges, the corresponding medium and low levels are gradually adjusted; below the third threshold, the system automatically enters standby mode, achieving refined, tiered dynamic control.

[0029] Based on the above gear classification results, the real-time PSI value is calculated based on real-time physiological parameters, and the real-time temperature and humidity data of the target user's microenvironment are obtained through temperature and humidity sensors. When the target user is detected using the device, the system enters automatic control mode; otherwise, it remains in standby mode. In automatic control mode, the corresponding PSI and environmental gear levels are determined based on the real-time PSI value and real-time temperature and humidity. The operating power of the cooling equipment (i.e., the corresponding control level) is controlled according to a high-priority fusion decision. If either the PSI or environmental gear is high, the high-level powerful cooling mode is executed; if neither is high but one is medium, the medium-level mode is executed; otherwise, the low-level mode or standby mode is executed.

[0030] The specific grading standards in this implementation are as follows: PSI level = 3 (High Risk): When PSI > 5.0; PSI level = 2 (Moderate): When 3.0 ≤ PSI < 5.0; PSI level = 1 (Mild): When 1.0 ≤ PSI < 3.0; PSI level = 0 (Normal): When PSI < 1.0. A PSI level of 0 represents normal and does not fall into any of the three levels.

[0031] The temperature and humidity data of the microenvironment are divided into four environmental levels. When classifying the environmental levels, the "feeling temperature" is calculated based on the ambient temperature and humidity, or a temperature threshold is directly used to determine the environmental level. This implementation method directly uses temperature thresholds for classification. The classification criteria are as follows: Environmental Level = 3 (Extremely Hot): When T... env ≥ 32°C or (T env ≥ 30°C and RH>70%); Ambient setting = 2 (humid): when 28°C <T env <32℃; Ambient setting = 1 (warm): When 26℃ ≤ T env <28℃; Ambient setting = 0 (Comfort): When T env <26°C. Where T env Although the temperature in conditions of ≥ 30°C and RH > 70% does not reach 32 degrees Celsius, the high humidity makes the human body feel similar to an ambient temperature greater than 32 degrees Celsius. Therefore, it is also classified as environmental level 3. Environmental level 0 represents normal and does not belong to any of the three levels.

[0032] When determining the environmental setting based on ambient temperature and humidity, the "feeling temperature" is calculated using the following formula: Where AT is the perceived temperature (°C), T is the air temperature (°C), e is the water vapor pressure (hPa), V is the wind speed (m / sec), and RH is the relative humidity (%).

[0033] The PSI and environmental settings can be customized according to the actual situation. For example, more settings (such as 5 or 6) can be set, or only two or three settings can be set. The value range of each setting can also be adaptively set according to the individual's physical sensation.

[0034] Based on the above gear classification results, the real-time PSI value is calculated using real-time physiological parameters, and the real-time temperature and humidity data of the target user's microenvironment are obtained through temperature and humidity sensors, thereby obtaining the real-time L... psi (PSI setting) and L env (Environmental settings), execute L final = MAX(L psi, L env The logic generates the final control command. The following explanation uses a refrigeration unit consisting of a refrigeration module and a fan module as an example. The refrigeration module is a cooling chip controlled by a cooling chip relay, while the fan module is controlled by a motor-driven PWM. The specific control strategy is as follows: Case A (Powerful Cooling Mode): If L final = 3, turn on the cooling chip relay (power on), set the motor drive PWM duty cycle to 100%, and a short beep will be heard to indicate this.

[0035] Situation B (Comfort Adjustment Mode): If L final = 2, turn on the cooling chip relay, and set the motor drive PWM duty cycle to 60%.

[0036] Case C (Light Breeze Energy Saving Mode): If L final = 1, turn off the cooling relay (using air cooling is sufficient), or turn on the cooling intermittently at low frequency, and set the motor drive PWM duty cycle to 30%.

[0037] Case D (Standby Mode): If L final = 0, turn off the cooling chip and the fan module (PWM=0%).

[0038] Besides refrigeration units, refrigeration equipment typically also uses compressors. Their control logic is largely the same, controlling the compressor's operating time through different settings. For example: L=3: Compressor ON (or high speed) + Fan 100%; L=2: Compressor operates at 60% of the time + fan at 60%; L=1: The compressor operates or stops at a rate of 20–30% of the time, plus the fan at 30%; L=0: All off.

[0039] When controlling the device in the manner described above, if the control level is high, the PSI (Physiological Stress Index) is monitored. Once the PSI drops to the level corresponding to a lower control level and remains stable for a preset delay, the operating power of the cooling device is gradually reduced. During this power reduction, the PSI of the target user is continuously monitored. If the PSI rises above a preset hysteresis value, the cooling device is immediately restored to its original power. For example, if the current control level is 3 (belonging to Case A, powerful cooling mode), when the PSI drops to L... final =2, and this value remains constant for a period of time (e.g., 5 minutes). This indicates that the individual's perceived temperature has decreased, and the operating power of the cooling device can be reduced to prevent the PSI physiological stress index from dropping back to L. final= 2. The user is experiencing discomfort due to the system remaining in high-power cooling mode. If the temperature and humidity are at their highest levels, there is no need to reduce power; the current highest cooling level will be the primary control logic.

[0040] The method further includes controlling the cooling module to shut down and the fan module to maintain low-power standby operation when the target user is detected not using the device for a first set time (the first set time can be set according to actual conditions; in this embodiment, the time is set to 5 minutes) and the corresponding PSI physiological stress index remains below the lowest level. When the target user is detected using the device and the PSI physiological stress index rises to the lowest level or above, the cooling module is immediately restored to operation, and the corresponding control level of the cooling module and the fan speed are calculated based on the current PSI physiological stress index and real-time temperature and humidity data. If no user is detected using the device within the first set time and the real-time PSI remains below the third PSI threshold (i.e., PSI threshold 3), the cooling module is automatically shut down, and the fan module is controlled to maintain low-power standby operation. When the target user is detected using the device and the real-time PSI rises to the third PSI threshold or above, the cooling module is immediately restored to operation, and the fan speed is matched according to the currently calculated control level. Through this control, the present invention can identify whether the user is resting or away, and proactively shut down the fan when the user is not at risk of heat stress, further reducing noise and energy consumption. It can quickly restart when the user resumes use, achieving fine-grained control of "running on demand". This strategy is particularly suitable for scenarios such as offices and homes, and can significantly reduce system power consumption at night or during lunch breaks.

[0041] To facilitate manual control, this invention also includes a manual control mode. In this mode, the system receives a user-inputted custom speed setting command via a terminal device or physical buttons. This custom speed setting command includes a directly specified fan speed level and cooling capacity level (i.e., the cooling device control level). The user-inputted cooling device control level is compared with the cooling device control level determined based on the PSI setting and the ambient setting. If the difference exceeds two levels, a prompt message is generated and the user is requested to confirm. If no confirmation signal is received within a second set time (the second set time can be set according to actual conditions; in this embodiment, it is set to 3 minutes), the system automatically switches back to automatic control mode. If the difference does not exceed two levels, control is performed according to the user-inputted cooling device control level. For example, if the input control level in manual control mode is level 4, while the control level determined based on the PSI setting and the ambient setting is level 1, a corresponding prompt message is generated for user confirmation. Control is only performed at level 4 after user confirmation; otherwise, control is performed at level 1, thus preventing user misoperation.

[0042] The method also includes constructing a personal thermal comfort profile for the target user. This profile stores mapping data for historical time periods, usage status, PSI (Physiological Stress Index), and corresponding preferred control levels. During real-time control, the current time period is identified. If similar historical data is matched in the personal thermal comfort profile, the control level corresponding to that historical data is preferentially used as a preset value, and then adjusted based on the real-time PSI. Historical data refers to the user's personal thermal comfort profile recorded during previous use. When judging similarity, the data is not required to be exactly the same; instead, a multi-dimensional approximate match is used to obtain the closest result. The first step is to match "time period" features, such as whether it is the same moment or whether it is a similar period of use. The second step is to match "usage status," such as whether the current environment is similar to the environment in the profile.

[0043] When the cooling device includes wearable smart cooling clothing, the method also includes generating control signals synchronously based on detected skin temperature (i.e., the previously detected physiological parameter skin temperature) to drive the micro-cooling unit in the wearable smart cooling clothing to maintain the thermal comfort level of the target user. The wearable smart clothing, as an extension of the environmental control system, directly contacts the core areas of the human body with the most active heat exchange (such as the back and chest), achieving precise "point-to-point" cooling. When the environmental control is at a high level, the smart cooling clothing operates at full power synchronously, rapidly reducing core body temperature and avoiding the risk of heat stress such as heatstroke; at medium and low levels, it adjusts in tandem to reduce the environmental cooling load. This dual control mode of "environment + clothing" improves cooling efficiency and response speed while reducing overall energy consumption, making it particularly suitable for high-temperature work, sports, and other high-heat stress scenarios.

[0044] This invention employs a wearable device to monitor PSI (Physiological Stress Index) and microenvironmental temperature and humidity in real time, along with multi-level threshold grading and intelligent clothing that works in conjunction with environmental control devices. This effectively solves the technical problems of existing technologies where fixed threshold control fails to perceive individual physiological states, exhibits delayed response, and easily leads to overcooling or overheating. It achieves precise, graded, and dynamic control based on real-time human thermal stress levels, significantly improving thermal comfort and individual adaptability. Furthermore, by utilizing personal thermal comfort profiles, multi-user weighted balanced control, and closed-loop safety protection in intelligent clothing, it effectively addresses the technical problems of lack of personalized adaptation, difficulty in considering group scenarios, and insufficient safety and comfort in close-fitting cooling. This achieves personalized control tailored to each individual, optimized and balanced group thermal environment, and a balance of high efficiency, safety, and comfort. Personalized adaptation is achieved through precise, personalized matching of long-term users using customized profiles; group scenario considerations involve personalized control based on individual physiological and microenvironmental parameters, avoiding discomfort caused by individual differences in group cooling environments, such as the different cooling needs of men, women, adults, and the elderly.

[0045] Implementation of Intelligent Individual Temperature Control Devices The temperature control device of this invention includes a physiological sensing unit, an environmental sensing unit, a control processing unit, and an execution regulation unit. The physiological sensing unit acquires physiological parameters of the target user and sends them to the control processing unit. The environmental sensing unit acquires temperature and humidity data of the microenvironment and sends it to the control processing unit. The control processing unit performs intelligent individual temperature regulation based on the physiological parameters and temperature and humidity data. The execution regulation unit, as the regulated object, includes a cooling module, a fan module, and an optional intelligent clothing cooling unit, and adjusts the ambient temperature in response to instructions from the control processing unit. The hardware implementation circuit of this temperature control device is as follows: Figure 2 As shown below, a detailed explanation will follow.

[0046] Specifically, such as Figure 2As shown, the system includes a main control chip 1, a motor drive chip 2, an OLED display screen 3, a temperature and humidity sensor 4, a photoresistor (LDR1) 5, a button 9, a serial terminal 10, a serial communication interface module 11, a transistor (Q1) 12, a digital temperature sensor 14, and an LM358 dual operational amplifier 16, all connected to the main control chip 1. The main control chip 1 uses an STM32F103C8T6 microcontroller, which is an ARM Cortex-M3 core-based microcontroller and the control processing unit of this invention. It is responsible for the overall system scheduling, sensor data reading, PSI algorithm calculation, and control command output, and is the core processing unit of the system. The environmental sensing unit uses a temperature and humidity sensor 4, specifically a DHT11 or higher precision sensor, which communicates with the main control chip via a single-bus protocol to collect real-time temperature and humidity data of the individual microenvironment, serving as the input source for environmental grading determination. The digital temperature sensor 14 (used to collect core human body temperature and humidity) uses the DB18B20 digital temperature sensor chip. The VDD pin of the DB18B20 digital temperature sensor chip is connected to 3.3V / 5V, GND is grounded, and the DQ pin is connected to any GPIO pin of the STM32 via a pull-up resistor. During operation, initialization is performed first, the controller sends a command, the sensor starts temperature acquisition and AD conversion, and then the controller initializes again and sends a read command to read and parse the temperature data output by the sensor. The LM358 dual operational amplifier 15 is used to construct the analog signal conditioning circuit. When acquiring weak bioelectrical signals (such as analog heart rate signals), the LM358 is responsible for amplifying, filtering, and level-raising the signal to meet the input requirements of the microcontroller's ADC sampling.

[0047] The motor drive chip 2 uses the TB6612FNG high-performance DC motor drive chip. This chip receives PWM control signals and direction control signals from the main control chip 1 to drive the motor 6 (i.e., the fan motor) to operate. As an actuator, the motor 6 converts electrical energy into mechanical energy under the drive of the TB6612FNG chip, thereby realizing rotation and other actions to provide power for the equipment. Compared with traditional drives, this chip can adjust the fan speed more efficiently and accurately, realizing stepless airflow adjustment.

[0048] The intelligent personal temperature control device also includes a communication display unit, which is connected to the control processing unit. This unit displays the current microenvironmental temperature and humidity, the calculated PSI physiological stress index, and the operating status of the cooling devices. The communication display unit uses an OLED display screen 3, which employs an I2C or SPI interface to create a human-machine interface. It displays key information such as the current microenvironmental temperature, the calculated PSI value, the system operating level, and battery level in real time, providing users with intuitive visual feedback. The photoresistor (LDR1) 5 changes its resistance with light intensity; the resistance decreases when the light intensity increases and increases when the light intensity decreases. It is used in the light control circuit to detect the presence of a human body.

[0049] Transistor (Q1) 12 and relay (RL1) 13 constitute a high-power load control circuit. The main control chip 1 controls the transistor Q1 to turn on or off by outputting high and low levels through GPIO, thereby controlling the coil of relay RL1 to be energized, thus realizing the on and off control of the power supply of the high-power thermoelectric cooler (TEC).

[0050] To provide timely reminders, this invention also includes a buzzer 7, which is an integrated electronic sounder powered by DC voltage. Its main function is to emit sound, such as alarm prompts or status indicators, for example, to remind users when the temperature is too high. A light-emitting diode (D1) 8, a semiconductor light-emitting device, converts electrical energy into light energy and can be used as an indicator light to display the circuit's operating status (such as whether a relay is activated). It also has unidirectional conductivity and is connected to the control circuit of the cooling unit (here, the cooling unit is a semiconductor refrigeration chip) to indicate the cooling unit's operating status. For manual mode control, this invention includes a button 9, which provides a physical input interface, allowing users to long-press to turn the device on / off, short-press to switch between automatic / manual modes, or adjust the gear in manual mode. For data uploading, this invention also includes a serial terminal 10 and a serial communication interface module 11 for system debugging and Bluetooth data transmission. In practical applications, a Bluetooth module is connected to enable data interaction with a mobile app.

[0051] During the simulation testing phase, the present invention also includes a signal generator 16, which is used to simulate heart rate pulse signals or changing physiological parameter signals generated by the human body and input them to the signal conditioning circuit to verify the system's ability to acquire and process physiological signals of different frequencies and amplitudes. In actual products, this part can be replaced by a photoelectric heart rate sensor.

[0052] The temperature regulation process of intelligent personal temperature control devices includes: 1. System initialization and self-test: After the system is powered on, the main control unit first initializes and configures each peripheral module.

[0053] Initialize GPIO ports: Configure the pin operating modes of components such as relays, OLED displays, and buttons. Initialize communication protocols: Enable the I2C interface (for OLED screens), single-bus protocol (for DS18B20), and UART serial port (for Bluetooth and debugging). Initialize PWM timer: Configure the PWM frequency (e.g., 10kHz-20kHz) used to control the motor driver chip. Self-test: If a sensor disconnection or low battery voltage is detected, a two-beep alarm will sound, and an error code will be displayed on the screen.

[0054] 2. Obtain physiological parameters and temperature and humidity data of the target user's microenvironment.

[0055] The physiological parameters collected by the target user in this invention include skin temperature and heart rate. In this embodiment, skin temperature is collected using a digital temperature sensor attached to the user's back or armpit, and heart rate is collected using a photoelectric pulse sensor. Alternatively, other feasible devices can be used to collect skin temperature and heart rate. This embodiment collects the above data in 1-second intervals (sampling rate adjustable).

[0056] The temperature and humidity data of the microenvironment are collected by the temperature and humidity sensor 4 located on the outside of the refrigeration equipment. The collected microenvironment temperature can be denoted as Tenv, and the collected relative humidity can be denoted as RH.

[0057] 3. Obtain the physiological parameters of the target user and calculate the PSI physiological stress index.

[0058] The Physiological Stress Index (PSI) is a comprehensive physiological indicator used to characterize the current level of heat stress in the human body. Therefore, the main control chip 1 of this invention calculates the PSI using the collected physiological parameters. In this embodiment, the PSI is determined based on the difference between the target user's current skin temperature and normal skin temperature, and the difference between the current heart rate and normal heart rate. The higher the current skin temperature, the greater the PSI; the higher the current heart rate, the greater the PSI. Based on extensive research, this embodiment provides the relationship between PSI and physiological parameters, specifically: PSI = 5 × (TCT - TC0) / (39.5 - TC0) + 5 × (HRT - HR0) / (180 -HR0) Where TCT is the current skin temperature, TC0 is the initial skin temperature (also called normal skin temperature, i.e., skin temperature at room temperature); HRT is the current heart rate, and HR0 is the initial heart rate (also called normal heart rate, i.e., heart rate at room temperature without strenuous exercise).

[0059] 4. Adjust the temperature based on the PSI physiological stress index and the temperature and humidity data of the microenvironment.

[0060] In specific control operations, the main control chip 1 can perform control based on the PSI physiological stress index level and the temperature and humidity data of the microenvironment. The PSI physiological stress index is divided into N PSI levels, and the temperature and humidity data of the microenvironment are divided into N environmental levels. The chip determines the current PSI physiological stress index level and the environmental level of the real-time temperature and humidity data of the microenvironment, compares the PSI level and the environmental level, and controls the cooling device according to the highest level of the two. The higher the PSI physiological stress index, the higher the PSI level; the higher the temperature and humidity data of the microenvironment, the higher the environmental level. N is greater than or equal to 2. For example, if N is 3, if the PSI value ≥ PSI threshold 1, the PSI level is level 3; if not, it checks if the PSI value ≥ PSI threshold 2, and if so, the PSI level is level 2; if not, it checks if the PSI value ≥ PSI threshold 3, and if so, the PSI level is level 1; otherwise, subsequent logic does not trigger the relevant PSI levels and directly enters the off state. Ambient temperature and humidity judgment: If the ambient temperature and humidity are ≥ set value 1, the ambient temperature and humidity level is set to level 3; if not, it is then judged whether the ambient temperature and humidity are ≥ set value 2, and if so, the ambient temperature and humidity level is set to level 2; if not, it continues to judge whether the ambient temperature and humidity are ≥ set value 3, and if so, the ambient temperature and humidity level is set to level 1; if not, subsequent logic does not trigger the ambient temperature and humidity related levels, and it directly enters the off state. When any parameter exceeds the first threshold, the high-level rapid cooling is immediately activated; in the second and third threshold ranges, the corresponding medium and low levels are gradually adjusted; below the third threshold, it automatically goes into standby mode, realizing fine-grained and hierarchical dynamic control.

[0061] This invention employs a wearable device to monitor PSI (Physiological Stress Index) and microenvironmental temperature and humidity in real time, along with multi-level threshold grading and intelligent clothing and environmental control devices. This effectively solves the technical problems of existing technologies where fixed threshold control fails to perceive individual physiological states, exhibits delayed response, and easily leads to overcooling or heating. It achieves precise, graded, and dynamic control based on real-time human thermal stress levels, significantly improving thermal comfort and individual adaptability. Furthermore, by utilizing personal thermal comfort profiles, multi-user weighted balanced control, and closed-loop safety protection in intelligent clothing, it effectively addresses the lack of personalized adaptation, difficulty in considering group scenarios, and insufficient safety and comfort in close-fitting cooling. This achieves personalized control tailored to each individual, optimized and balanced group thermal environment, and a balance of high efficiency, safety, and comfort. Because this invention uses a modular system architecture, it supports flexible configuration from basic environmental control to advanced intelligent clothing linkage. Each functional unit can operate independently or collaboratively, effectively solving the technical problems of traditional systems with fixed functions, poor scalability, and inability to adapt to diverse needs in various scenarios. This allows for flexible system tailoring and smooth upgrades based on application scenarios and cost requirements.

[0062] As another implementation, the present invention can also be used to manufacture the device into a smart work vest, such as... Figure 3 As shown, the vest's structural layout includes a sensing layer: a digital temperature sensor 14 is installed in the lining of the central area of ​​the back of the vest. The digital temperature sensor 14 uses a flexible DS18B20 probe, sewn into the lining of the central area of ​​the back of the vest, and can directly contact the skin to collect the core body temperature; a window for a photoelectric heart rate sensor is set under the armpit. The execution layer: two fans 18 are installed on the back. The fans 18 are miniature silent turbine fans (5cm in diameter), and with the airflow channel design, they blow airflow towards the back. Two flexible semiconductor cooling pads 17 are attached to the heat-sensitive areas on both sides of the spine (below the shoulder blades). The hot end of the flexible semiconductor cooling pads 17 exchanges heat with the fan duct through a phase change material. The control layer: the main control chip 1 and the battery 19 are packaged in the pocket at the bottom of the vest, connected to each module through a special ribbon cable. The battery 19 is a 5000mAh lithium battery.

[0063] Work process: Users (such as outdoor power line inspectors) wear this vest.

[0064] 1. Scenario 1 (Normal): Morning temperature 25℃, inspector walking, system determines environmental level 0, PSI level 0. Vest in standby mode, no wind and no noise.

[0065] 2. Scenario 2 (Working Temperature Increase): The temperature rises to 33℃ at noon, and the ambient temperature setting jumps to 3. The system immediately activates "High-Level Mode," with the fan running at full speed and the cooling coils turning on.

[0066] 3. Scenario 3 (High Load): Inspectors are climbing the tower. Although the ambient temperature may only be 30°C in some areas (ambient setting 2), due to strenuous exercise, their heart rate rises to 140 bpm, and their skin temperature increases, resulting in a calculated PSI of 4.5 (PSI setting 2, close to high risk). Based on the principle of "high setting priority," if the ambient temperature is determined to drop to medium setting, the system will still maintain a high power for heat dissipation, or increase the cooling capacity in advance according to the PSI trend to prevent heatstroke.

[0067] 4. Scenario 4 (Rest): After finishing work, enter the air-conditioned rest room (24℃). The ambient temperature is reduced to 0, but there is still heat buildup in the user's body (PS1=2.5). The system will not shut down immediately, but will maintain a low speed of "Level 1" to help the body cool down smoothly until the PSI returns to normal (<1.0) and then automatically shut down.

Claims

1. A method for intelligent individual temperature regulation, characterized in that, The temperature control method includes the following steps: The PSI physiological stress index is calculated based on the physiological parameters of the target user. The PSI physiological stress index is a comprehensive physiological indicator that characterizes the current heat stress level of the human body. By combining the physiological stress index (PSI) and the acquired temperature and humidity data of the microenvironment, the operating power of the cooling device is controlled so that the cooling device operates at a power corresponding to a higher level of the PSI and microenvironment temperature and humidity data, in order to meet the cooling needs of the target user.

2. The intelligent individual temperature regulation method according to claim 1, characterized in that, When controlling the refrigeration device, control is performed based on the PSI physiological stress index level and the temperature and humidity data of the microenvironment. The PSI physiological stress index is divided into N PSI levels, and the temperature and humidity data of the microenvironment are divided into N environmental levels. The PSI level of the current PSI physiological stress index and the environmental level of the real-time temperature and humidity data of the microenvironment are determined and compared. The refrigeration device is controlled according to the refrigeration device control level corresponding to the highest level of the two. The higher the PSI physiological stress index, the higher the PSI level; the higher the temperature and humidity data of the microenvironment, the higher the environmental level. N is greater than or equal to 2.

3. The intelligent individual temperature regulation method according to claim 1 or 2, characterized in that, The PSI (Physiological Stress Index) is determined based on the difference between the target user's current skin temperature and normal skin temperature, as well as the difference between the current heart rate and normal heart rate. The higher the current skin temperature, the greater the PSI; the higher the current heart rate, the greater the PSI.

4. The intelligent individual temperature regulation method according to claim 2, characterized in that, Controlling the cooling device according to the highest level of the two settings includes: when the control level is higher, monitoring the PSI physiological stress index; when the PSI physiological stress index drops back to the level corresponding to the lower level and remains stable for a preset delay time, gradually reducing the operating power of the cooling device; during the power reduction process, continuously monitoring the target user's PSI physiological stress index and real-time temperature and humidity data; if the PSI physiological stress index rises by more than a preset hysteresis value, immediately restoring the cooling device to its original power operation.

5. The intelligent individual temperature regulation method according to claim 2, characterized in that, The method also includes controlling the cooling module to shut down and controlling the fan module to maintain low-power standby operation when the target user is detected not to use the device within a first set time and the corresponding PSI physiological stress index remains below the lowest level; when the target user is detected to use the device and the PSI physiological stress index rises to the lowest level or above, the cooling module is immediately restored to operation and the corresponding control level of the cooling module and the fan speed are calculated based on the current PSI physiological stress index and real-time temperature and humidity data; the cooling device includes a cooling module and a fan module.

6. The intelligent individual temperature regulation method according to claim 2, characterized in that, The method also includes a manual control mode, in which the user-input cooling device control level is compared with the cooling device control level determined based on the PSI setting and the ambient setting. If the difference between the two levels exceeds two levels, a prompt message is generated and the user is requested to confirm. If no confirmation signal is received within a second set time, the system automatically switches back to automatic control mode. If the difference between the two levels does not exceed two levels, the system controls the cooling device according to the user-input cooling device control level.

7. The intelligent individual temperature regulation method according to claim 2, characterized in that, The method also includes constructing a personal thermal comfort profile for the target user. The personal thermal comfort profile is used to store mapping data of historical time periods, usage status, PSI physiological stress index and corresponding preferred control levels. During real-time control, the current time period is identified. If similar historical data is matched in the personal thermal comfort profile, the control level corresponding to the historical data is preferentially called as the preset value and corrected in combination with the real-time PSI physiological stress index.

8. The intelligent individual temperature regulation method according to claim 2, characterized in that, When the cooling device includes wearable smart cooling clothing, the method further includes generating a control signal synchronously based on the detected skin temperature to drive a micro-cooling unit in the wearable smart cooling clothing to maintain the thermal comfort level of the target user.

9. An intelligent individual temperature control device, characterized in that, The temperature control device includes a physiological sensing unit, an environmental sensing unit, and a control processing unit. The physiological sensing unit is used to acquire the physiological parameters of the target user and send them to the control processing unit. The environmental sensing unit is used to acquire the temperature and humidity data of the microenvironment and send them to the control processing unit. The control processing unit is used to control the cooling device according to the intelligent individual temperature control method according to any one of claims 1-8.

10. The intelligent individual temperature control device according to claim 9, characterized in that, The intelligent personal temperature control device also includes a communication display unit, which is connected to the control processing unit to display the current microenvironment temperature and humidity, the calculated PSI physiological stress index, and the operating status of the cooling device.

Images