Intelligent heat regulation and control system and method for outdoor mobile equipment

Abstract

The invention relates to the technical field of personal temperature control supplies, and discloses an intelligent heat regulation and control system and method for outdoor mobile equipment, and the system comprises a data collection module, an intelligent decision module and a collaborative execution module. The core of the method lies in two switchable control modes: when it is judged that the temperature is not uniform, the system enters an active circulation and balance mode, a control signal synchronous with the breathing frequency of a user is generated through a biological rhythm coupled self-adaptive peristaltic wave control algorithm, an exciter is driven to directionally transport a liquid phase change material in a wavy pulse mode, and the liquid phase change material is continuously conveyed. Heat redistribution is realized; and when the temperature is judged to be balanced, switching to a partition curing and heat locking mode, stopping transportation and inducing part of the phase change material to be cured at a specific position to form a heat insulation barrier with high heat resistance so as to lock core heat with low energy consumption. According to the invention, through active redistribution and partition solidification locking of heat, the personalized comfortable experience and the system cruising ability are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of personal temperature control products, specifically to an intelligent thermal regulation system and method for outdoor mobile equipment. Background Technology

[0002] Outdoor mobility gear, such as high-altitude sleeping bags, polar camping tents, or long-distance hiking clothing, serves as core equipment for providing warmth to users in various environments. Its basic function is to maintain a comfortable sleeping temperature through insulation. Traditional outdoor mobility gear designs primarily rely on the physical properties of filling materials (such as down or synthetic fibers), creating a static air layer within the filling to impede heat conduction and achieve passive insulation. The insulation performance of this type of design directly depends on the material specifications and quantity of the filling material; its thermal resistance is a fixed value after leaving the factory. Therefore, it cannot adapt to dynamically changing external temperatures or respond to individual differences in metabolic heat production among users.

[0003] To overcome the limitations of passive insulation, active heating solutions have been developed in existing technologies. These typically integrate heating elements, such as heating wires or carbon fiber heating plates, into the structure of outdoor mobile equipment. While these systems can generate additional heat to raise the internal temperature, their control methods are relatively rudimentary. They mostly employ constant power or stepped adjustment modes, applying a uniform, indiscriminate heat input to the interior of the outdoor mobile equipment. This control logic does not consider the actual uneven temperature distribution within the equipment. As a result, core heat-generating areas such as the user's torso may experience excessively high temperatures, while areas like the extremities may still receive insufficient heat, leading to a lack of effective improvement in overall thermal comfort.

[0004] Meanwhile, this mode of relying on the continuous generation of new heat also suffers from insufficient energy utilization efficiency. For outdoor applications using portable power sources, electrical energy is a limited resource that needs to be used efficiently. Existing active heating systems lack the ability to sense and regulate heat distribution, and their energy consumption is mainly used for global temperature rise, rather than accurately using energy to make up for local heat deficits. This results in unnecessary energy loss, which directly affects the product's endurance and reliability during long-term missions.

[0005] In addition, some technical solutions attempt to apply phase change materials (PCMs) to outdoor mobile equipment, utilizing their ability to absorb or release latent heat during solid-liquid phase transitions to buffer temperature fluctuations. However, in existing applications, PCMs are mostly used as passive fillers or coatings. This means that their heat exchange is limited to their localized area and cannot achieve macroscopic, directional heat transport between different areas inside the outdoor mobile equipment. Therefore, even if the core areas of the user's body generate sufficient heat, this heat cannot be actively and effectively transferred to the more heat-demanding peripheral areas, and the fundamental problem of uneven temperature distribution inside outdoor mobile equipment remains unresolved.

[0006] In summary, existing technologies still require further improvement and development in how to achieve intelligent redistribution and precise retention of heat in an energy-efficient manner based on the user's real-time physiological state and the actual thermal field distribution inside outdoor mobile equipment. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides an intelligent thermal regulation system and method for outdoor mobile equipment, which solves the problem that existing outdoor mobile equipment cannot intelligently redistribute and efficiently maintain internal heat according to the user's real-time status, resulting in poor thermal comfort and low energy efficiency.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] The first aspect of this invention provides an intelligent thermal regulation system for outdoor mobile equipment, which logically implements a complete Supervisory Control and Data Acquisition (SCADA) process through the collaborative work of modules. The system includes:

[0010] The data acquisition module performs front-end tasks of data acquisition and monitoring control in the system, and is used to collect distributed temperature field data inside outdoor mobile equipment and user biorhythm signal data in real time.

[0011] The intelligent decision-making module, which is connected to the data acquisition module, is used to centrally monitor and analyze the distributed temperature field data inside the outdoor mobile equipment and the user's biorhythm signal data, and generate heat regulation instructions.

[0012] The collaborative execution module, which is connected to the intelligent decision-making module, is used to execute a strategy for circulating or maintaining the internal heat of outdoor mobile equipment according to the heat regulation command.

[0013] Preferably, the data acquisition module includes:

[0014] The distributed temperature field acquisition unit consists of multiple temperature sensors deployed in the lining or inner layer of outdoor mobile equipment, and is used to output the distributed temperature field data.

[0015] The biorhythm signal acquisition unit consists of a high-precision temperature sensor deployed in the lining or body layer of the outdoor mobile equipment and in the corresponding area of ​​the user's chest or abdomen. It is used to capture periodic temperature fluctuation signals caused by the user's breathing activities and output the biorhythm signal data.

[0016] Preferably, the intelligent decision-making module includes:

[0017] The dynamic modeling unit is used to construct a thermal field entropy state model based on the distributed temperature field data, and to construct a biological rhythm feature model based on the biological rhythm signal data.

[0018] The mode selection unit is used to select between the active circulation and equilibrium mode and the partitioned solidification and thermal lock-in mode based on the output of the thermal field entropy state model and the biological rhythm characteristic model, so as to generate the heat regulation command.

[0019] Preferably, the collaborative execution module includes:

[0020] The heat cycle control unit includes a conduit network filled with a phase change material and an actuator array distributed along the conduit network. The phase change material is optionally selected from hexadecane, octadecane, or a eutectic mixture of hexadecane and octadecane. The heat cycle control unit is used to realize the directional transport of heat in the conduit network in the active circulation and equilibrium modes, and to form a heat insulation zone by inducing the phase change material to solidify in the partitioned curing and heat lock modes.

[0021] A second aspect of the present invention provides an intelligent heat regulation method for outdoor mobile equipment, applied to the aforementioned internal heat circulation and retention system of outdoor mobile equipment, comprising the following steps:

[0022] Real-time acquisition of distributed temperature field data inside outdoor mobile equipment and user's biorhythm signal data;

[0023] Based on the distributed temperature field data and the biological rhythm signal data, a heat regulation command is generated.

[0024] Based on the aforementioned heat regulation command, execute a strategy to circulate or maintain the internal heat of the outdoor mobile equipment.

[0025] Preferably, the step of generating the heat regulation command specifically includes:

[0026] Based on the distributed temperature field data, the thermal field entropy S, which characterizes the degree of temperature distribution non-uniformity, is calculated using the thermal field entropy gradient integral algorithm. H (t) is used to construct a thermal field entropy state model;

[0027] Based on the aforementioned circadian rhythm signal data, the user's circadian rhythm frequency f is extracted using a signal processing algorithm. B To construct a model of biological rhythm characteristics;

[0028] Based on the thermal field entropy S H (t) and the biological rhythm frequency f B Select the control mode to generate the heat regulation command.

[0029] Preferably, the thermal field entropy gradient integration algorithm is as follows:

[0030]

[0031] Where T(p,t) is the temperature field function, A is the inner surface area of ​​the outdoor mobile equipment, t is time, A is the integration region, and p is the position vector. For gradient operators, Let be the temperature gradient vector, and · be the norm. Let dA be the square of the gradient norm, and dA be the differential area element.

[0032] Preferably, when the selected control mode is active circulation and balance mode, the step of implementing the strategy of circulating or maintaining the internal heat of the outdoor mobile equipment specifically includes:

[0033] Using the thermal field entropy S obtained in the step of generating the heat control command H (t) and the biological rhythm frequency f B As input, the control signal C(x,t) for biomimetic peristaltic transport is calculated by the adaptive peristaltic wave control algorithm coupled with biological rhythms;

[0034] The control signal C(x,t) is applied to the exciter array to directionally transport the phase change material, which serves as a heat carrier, in the form of wave-like pulses.

[0035] Preferably, the adaptive peristaltic wave control algorithm coupled with biological rhythms is as follows:

[0036] C(x,t)=A C (S H (t))·sin(ω C ·tk C ·x+φ C );

[0037] Among them, control amplitude A CLet S be the thermal field entropy. H The function (t) controls the wave angular frequency ω. C With the biological rhythm frequency f B Related, x is a position variable, A C (S H (t) represents the adaptive control amplitude, sin(...) represents the sine wave function, and k... C To control the wave number in space, t is time, φ C To control the phase shift of the wave.

[0038] Preferably, when the selected control mode is the zoned curing and heat-locking mode, the step of implementing the strategy for circulating or retaining heat inside the outdoor mobile equipment specifically includes:

[0039] Stop the directional transport of the phase change material in the form of wave-like pulses;

[0040] It selectively drives some actuators to induce phase change materials in their corresponding conduits to undergo phase change and solidify, thereby forming a thermal insulation barrier in the thermal insulation interlayer of outdoor mobile equipment to lock core heat in the internal core area surrounding the user's torso.

[0041] This invention provides an intelligent thermal regulation system and method for outdoor mobile equipment. It has the following beneficial effects:

[0042] 1. This invention significantly improves the accuracy of heat regulation and the user's actual experience through a dual dynamic adjustment mechanism. The system correlates the angular frequency of the control wave with the user's breathing frequency collected in real time, and dynamically adjusts the amplitude of the control wave according to the output value of the thermal field entropy gradient integral algorithm. This design enables the rhythm and intensity of heat transport to respond to both the user's physiological state and the actual thermal distribution of the environment, avoiding the abruptness caused by the constant or step-like output of traditional heating equipment. The transport process is smoother and more in line with the user's individual needs, thereby achieving a higher level of thermal comfort.

[0043] 2. This invention establishes a closed-loop management system based on heat redistribution, achieving efficient energy utilization. The system uses a thermal field entropy state model to quantitatively assess the degree of temperature non-uniformity inside outdoor mobile equipment. When a significant temperature difference is detected, its primary strategy is not to activate high-power heating elements, but to drive phase change materials through an exciter array to directionally transport heat from areas with higher temperatures, such as the user's torso, to areas with lower temperatures, such as the feet. This method prioritizes the use of heat generated by the human body itself for internal balance, replacing the traditional mode that relies on continuously generating new heat. Thus, while achieving global temperature uniformity, it significantly reduces the overall energy consumption of the system.

[0044] 3. This invention provides an energy-saving mode of partitioned curing and thermal locking, which solves the problem of battery life in portable devices during long-term standby. When the system determines that the internal temperature field has reached a state of equilibrium, it will actively stop the energy-intensive cyclic transport process and instead selectively drive some exciters to induce the phase change material in the conduit to undergo a liquid-solid phase change and solidify at a specific location. Since the solid phase change material has a lower thermal conductivity, this creates a physical barrier with higher thermal resistance in the insulation layer of outdoor mobile equipment, effectively slowing down the loss of core heat to the outside. This mode can achieve long-term heat preservation with no or very low power consumption, significantly extending the effective service life of the system. Attached Figure Description

[0045] Figure 1 This is a flowchart of the system of the present invention;

[0046] Figure 2 This is a flowchart of the data acquisition module of the present invention;

[0047] Figure 3 This is a flowchart of the intelligent decision-making module of the present invention;

[0048] Figure 4 This is a flowchart of the collaborative execution module of the present invention;

[0049] Figure 5 This is a flowchart of the control method of the present invention. Detailed Implementation

[0050] 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.

[0051] Please refer to the appendix. Figure 1 The figure shows a structural block diagram of an internal heat circulation and retention system for outdoor mobile equipment according to an embodiment of the present invention. The present invention provides an intelligent thermal regulation system for outdoor mobile equipment. This system constructs a closed-loop intelligent thermal management architecture, and its working mode is functionally equivalent to a miniaturized Supervisory Control and Data Acquisition (SCADA) system. By sensing the user's physiological state and the internal thermal environment of the outdoor mobile equipment in real time, and making decisions based on this, it actively regulates the distribution of heat in a highly efficient and low-energy-consumption manner.

[0052] Please refer to the appendix. Figure 1 The internal heat circulation and retention system of this outdoor mobile equipment includes:

[0053] The data acquisition module, as the sensing end of the system, undertakes the function of the front-end data acquisition station in the SCADA system. It is configured to continuously acquire two types of key real-time data: one is distributed temperature field data that reflects the overall heat distribution state inside outdoor mobile equipment, and the other is biorhythm signal data that directly characterizes the user's current physiological rhythm.

[0054] The intelligent decision-making module is electrically connected to the data acquisition module. This module is the control core of the system, and functionally it is actually the monitoring host or central control station in the SCADA system. It receives and processes distributed temperature field data and biorhythm signal data transmitted from the data acquisition module, and generates heat regulation instructions containing specific control strategies and parameters through internal modeling and decision-making logic.

[0055] The collaborative execution module is electrically connected to the intelligent decision-making module. As the system's execution end, this module's function is to accurately respond to and execute the heat regulation commands issued by the intelligent decision-making module, and to actively circulate and transport or lock and maintain the heat inside the outdoor mobile equipment through physical action.

[0056] In this embodiment, these three modules work together to form a complete closed-loop control system of "perception-decision-execution". The data acquisition module continuously monitors changes in the internal environment of the outdoor mobile equipment and the user's state; the intelligent decision-making module performs dynamic analysis and calculations based on these changes to determine the optimal thermal management strategy; and the collaborative execution module implements this strategy. Changes in the internal thermal field of the outdoor mobile equipment caused by the execution action are immediately captured again by the data acquisition module, thus initiating a new round of adjustment cycle, enabling the entire system to continuously and adaptively maintain the thermodynamic balance between the user and the outdoor mobile equipment.

[0057] Please refer to the appendix. Figure 2 The data acquisition module includes a distributed temperature field acquisition unit and a biorhythm signal acquisition unit. The distributed temperature field acquisition unit physically consists of multiple temperature sensors; for example, 16 to 32 NTC thermistors or digital temperature sensors can be integrated in an array on one or more flexible printed circuit boards (FPCs). These FPCs carrying the sensor arrays are laminated or stitched into the lining or inner layer of outdoor mobile equipment, directly facing the user, and strategically distributed at key thermodynamic locations such as the back, waist, legs, and feet to comprehensively capture temperature distribution data within the outdoor mobile equipment.

[0058] The biorhythm signal acquisition unit is designed to capture the user's core physiological rhythms. In this embodiment, it consists of a separately configured temperature sensor with high accuracy (e.g., resolution better than ±0.1°C) and a high sampling rate (e.g., sampling frequency of 10Hz). This sensor is precisely deployed on the lining or inner layer of outdoor mobile equipment in an area directly corresponding to the user's chest or abdomen. Its working principle is based on the fact that the user's breathing movements cause regular rises and falls in the chest or abdomen, resulting in periodic changes in the thickness of the tiny air layer between the sensor and the skin, thus causing identifiable periodic temperature fluctuations in the sensor's measurement. This unit amplifies and acquires this weak fluctuation signal to output raw biorhythm signal data.

[0059] Please refer to the appendix. Figure 3 The intelligent decision-making module is implemented by a central microcontroller (MCU) and its running firmware (whose function can be compared to an embedded industrial monitoring software). This module is the core of the entire data acquisition and monitoring control system, responsible for executing all supervisory-level computational and control logic. Its internal functional logic includes a dynamic modeling unit and a mode selection unit. The dynamic modeling unit is responsible for transforming the acquired raw data into a model with clear physical meaning. On one hand, it receives multiple discrete temperature point data output from the distributed temperature field acquisition unit and constructs a continuous two-dimensional temperature field function T(p,t) using algorithms such as bilinear interpolation or spline interpolation, where p is the position vector and t is time. Subsequently, a thermal field entropy state model is constructed based on this function. On the other hand, this unit receives the raw temperature fluctuation signal output by the biorhythm signal acquisition unit. First, it passes the signal through a digital bandpass filter (e.g., with a passband range set between 0.1 Hz and 0.8 Hz) to filter out non-respiratory interference and circuit noise generated by normal human activity. Then, it applies a Fast Fourier Transform (FFT) algorithm to the filtered signal to accurately extract the fundamental frequency of the signal. This frequency is defined as the user's biorhythm frequency f. B And based on this, a biological rhythm feature model was constructed.

[0060] The mode selection unit makes decisions based on the output of the dynamic modeling unit. This unit internally presets a configurable thermal field entropy threshold S. H，thr*sh,ld During each operating cycle of the system, the mode selection unit will select the real-time calculated thermal field entropy S. H (t) is compared with this threshold. If S H (t)>S H,thr*sh,ld If the temperature distribution inside the outdoor mobile equipment is uneven, it is determined that active heat intervention is needed. Therefore, the "Active Circulation and Balancing Mode" is selected, and corresponding heat regulation commands are generated. Conversely, if S... H ≤SH,thr*sh,ld If the internal thermal field is in or close to equilibrium, the system should prioritize energy saving and therefore select the "zonal curing and thermal lock-in mode".

[0061] Please refer to the appendix. Figure 4 In this embodiment, the core of the collaborative execution module is a thermal circulation control unit. This unit includes a closed conduit network, a phase change material filled within the conduit network, and an array of actuators distributed along the conduit network. The conduit network is made of flexible silicone or TPU tubing with good thermal stability and chemical inertness, and extends in a serpentine or mesh-like path from the core area enveloping the user's torso to the extremities such as the feet.

[0062] In this embodiment, the phase change material filled within the conduit network is selected from n-octadecane, whose solid-liquid phase transition point is approximately 28°C, a temperature within the human body's comfortable temperature range. This material also possesses advantages such as high latent heat of phase change, stable properties, no supercooling, and long cycle life. Depending on different insulation requirements, the phase change material can also be selected from n-hexadecane, or a eutectic mixture of n-hexadecane and n-octadecane in a specific ratio, to obtain different preset phase transition temperatures.

[0063] The actuator array is deployed along the conduit network at fixed intervals (e.g., every 5 cm). Each actuator is a miniature piezoelectric pump or electromagnetic vibrator, capable of generating localized, precisely controlled pressure pulses or mechanical vibrations on the conduit upon receiving an electrical signal from the intelligent decision module. These actuators work together to drive the directional transport of liquid phase change material within the conduit network, or to induce a phase change and solidification of the phase change material through specific driving mechanisms.

[0064] Please refer to the appendix. Figure 5 The present invention also provides a control method for heat circulation and maintenance within outdoor mobile equipment applied to the aforementioned system. This method combines the system's hardware structure with intelligent algorithms to achieve closed-loop adaptive regulation of the internal thermal environment of the outdoor mobile equipment.

[0065] In a specific workflow, the control method first performs a real-time data acquisition step, that is, by continuously acquiring distributed temperature field data and user biorhythm signal data inside the outdoor mobile equipment through a distributed temperature field acquisition unit and a biorhythm signal acquisition unit.

[0066] Subsequently, the method proceeds to the core step of generating heat regulation commands. In this step, the intelligent decision-making module first calculates a scalar—thermal field entropy S—based on the collected distributed temperature field data, using a thermal field entropy gradient integral algorithm, to obtain a scalar that quantifies the degree of non-uniformity in the current temperature distribution. H(t), and based on this, a thermal field entropy state model is constructed. The specific expression of the thermal field entropy gradient integral algorithm is:

[0067]

[0068] Among them, S H (t) is the thermal field entropy that changes with time t; T(p,t) is the temperature field function constructed by interpolating sensor data, with the variables being the position vector p and time t; A is the inner surface area of ​​the outdoor mobile equipment; For gradient operators; Let be the square of the norm of the temperature gradient vector, representing the degree of temperature change at a certain point; dA is the area element; and ||·| is the norm. This integral is performed on the entire inner surface of the outdoor mobile equipment. Its physical meaning is that the larger the temperature gradient in a region, the greater its contribution to the overall non-uniformity.

[0069] Meanwhile, based on the collected biorhythm signal data, the intelligent decision-making module extracts the user's real-time biorhythm frequency f using the aforementioned signal processing algorithms such as bandpass filtering and Fast Fourier Transform (FFT). B And based on this, a biological rhythm feature model was constructed.

[0070] After obtaining the thermal field entropy S H (t) and circadian rhythm frequency f B Then, the mode selection unit within the intelligent decision-making module will select S H (t) and the preset thermal entropy threshold S H，thr*shold The system compares the data and selects the appropriate control mode based on the comparison results to generate the final heat regulation command.

[0071] When judging S H (t)>S H，thr*shold When the system is in a state of thermal imbalance, the "active circulation and balancing mode" is selected. In this mode, a circulation strategy for the internal heat of the outdoor mobile equipment is implemented. Specifically, this step involves circulating the previously obtained thermal field entropy S... H (t) and the biological rhythm frequency f B As a direct input, the control signal C(x,t) for driving the biomimetic peristaltic transport of the exciter array is calculated using an adaptive peristaltic wave control algorithm coupled with biological rhythms.

[0072] In this embodiment, the expression for the adaptive peristaltic wave control algorithm coupled with biological rhythms is:

[0073] C(x,t)=A C (S H )·sin(ω C ·tk C ·x+φC );

[0074] Where C(x,t) is a control signal applied to the actuator at position x that varies with time t; A C (S H ) is related to the thermal field entropy S H (t) The associated adaptive control amplitude, in this embodiment, is a monotonically increasing function, ensuring that the greater the temperature non-uniformity, the greater the transport capacity; ω C It is related to the user's biological rhythm frequency f B The associated control wave angular frequency, in this embodiment, is related as ω C =2πf B This achieves synchronization between the transport rhythm and the user's breathing; k C The spatial wavenumber of the control wave is determined by the physical deployment spacing of the exciter array and is a system constant; x is the positional variable along the duct network path; φ C It is used for fine adjustment to control the phase shift of the wave.

[0075] After the calculation is completed, the control signal C(x,t) is applied to the actuator array of the cooperative execution module. Because k in the signal... C The presence of the x term results in a phase difference in the signals received by the exciters at different locations, which in turn causes the entire array to produce coordinated, wave-like pulsed movements, thereby directionally transporting the liquid phase change material, which acts as a heat carrier, from the high-temperature region to the low-temperature region.

[0076] When judging S H ≤S H,thr*sh,ld When the system has reached thermal equilibrium, the "zonal curing and thermal lock-in mode" is selected. In this mode, a strategy to maintain the internal heat of the outdoor mobile equipment is implemented. Specifically, the intelligent decision module first stops the directional transport of the phase change material in the form of wave-like pulses, that is, it sets the control signal C(x,t) of all exciters to zero, thus terminating the macroscopic flow of the phase change material.

[0077] Next, the intelligent decision-making module selectively drives actuators located at preset barrier positions. For example, by applying a specific high-frequency oscillation signal to these actuators, it enhances the convective heat transfer between the phase change material inside the corresponding conduit and the outside environment, accelerating heat dissipation and inducing a liquid-solid phase change and solidification. This process forms a high-thermal-resistance thermal barrier made of solid phase change material in the thermal insulation sandwich structure of outdoor mobile equipment, effectively locking the core heat within the internal core area of ​​the user's torso surrounded by this barrier, achieving long-term heat preservation with extremely low energy consumption.

[0078] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An intelligent thermal control system for outdoor mobile equipment, characterized in that, include: The data acquisition module is used to collect distributed temperature field data and user biorhythm signal data inside outdoor mobile equipment in real time. The intelligent decision-making module, which is connected to the data acquisition module, is used to generate heat regulation instructions based on the distributed temperature field data inside the outdoor mobile equipment and the user's biorhythm signal data. The collaborative execution module, which is connected to the intelligent decision-making module, is used to execute a strategy for circulating or maintaining the internal heat of outdoor mobile equipment according to the heat regulation command.

2. The intelligent thermal control system for outdoor mobile equipment according to claim 1, characterized in that, The data acquisition module includes: The distributed temperature field acquisition unit consists of multiple temperature sensors deployed in the lining or inner layer of outdoor mobile equipment, and is used to output the distributed temperature field data. The biorhythm signal acquisition unit consists of a high-precision temperature sensor deployed in the lining or close-fitting layer of the outdoor mobile equipment and in the corresponding area of ​​the user's chest or abdomen. It is used to capture periodic temperature fluctuation signals caused by the user's breathing activities and output the biorhythm signal data.

3. The intelligent thermal control system for outdoor mobile equipment according to claim 1, characterized in that, The intelligent decision-making module includes: The dynamic modeling unit is used to construct a thermal field entropy state model based on the distributed temperature field data, and to construct a biological rhythm feature model based on the biological rhythm signal data. The mode selection unit is used to select between the active circulation and equilibrium mode and the partitioned solidification and thermal lock-in mode based on the output of the thermal field entropy state model and the biological rhythm characteristic model, so as to generate the heat regulation command.

4. The intelligent thermal control system for outdoor mobile equipment according to claim 3, characterized in that, The collaborative execution module includes: The heat cycle control unit includes a conduit network filled with a phase change material and an actuator array distributed along the conduit network. The phase change material is optionally selected from hexadecane, octadecane, or a eutectic mixture of hexadecane and octadecane. The heat cycle control unit is used to realize the directional transport of heat in the conduit network in the active circulation and equilibrium modes, and to form a heat insulation zone by inducing the phase change material to solidify in the partitioned curing and heat lock modes.

5. A method for intelligent thermal regulation of outdoor mobile equipment, characterized in that, An intelligent thermal control system for outdoor mobile equipment, as described in any one of claims 1-4, comprises the following steps: Real-time acquisition of distributed temperature field data inside outdoor mobile equipment and user's biorhythm signal data; Based on the distributed temperature field data and the biological rhythm signal data, a heat regulation command is generated. According to the heat control command, a strategy for circulating or maintaining heat inside the outdoor mobile equipment is executed.

6. The intelligent thermal regulation method for outdoor mobile equipment according to claim 5, characterized in that, The steps for generating the heat regulation command specifically include: Based on the distributed temperature field data, the thermal field entropy S, which characterizes the degree of temperature distribution non-uniformity, is calculated using the thermal field entropy gradient integral algorithm. H (t) is used to construct a thermal field entropy state model; Based on the aforementioned circadian rhythm signal data, the user's circadian rhythm frequency f is extracted using a signal processing algorithm. B To construct a model of biological rhythm characteristics; Based on the thermal field entropy S H (t) and the biological rhythm frequency f B Select the control mode to generate the heat regulation command.

7. The intelligent thermal regulation method for outdoor mobile equipment according to claim 6, characterized in that, The algorithm for integrating the thermal field entropy gradient is as follows: Where T(p,t) is the temperature field function, A is the inner surface area of ​​the outdoor mobile equipment, t is time, A is the integration region, and p is the position vector. For gradient operators, Let be the temperature gradient vector, and · be the norm. Let dA be the square of the gradient norm, and dA be the differential area element.

8. The intelligent thermal regulation method for outdoor mobile equipment according to claim 6, characterized in that, When the selected control mode is active circulation and balance mode, the steps of implementing the strategy of circulating or maintaining the internal heat of the outdoor mobile equipment specifically include: Using the thermal field entropy S obtained in the step of generating the heat control command H (t) and the biological rhythm frequency f B As input, the control signal C(x,t) for biomimetic peristaltic transport is calculated by the adaptive peristaltic wave control algorithm coupled with biological rhythms; The control signal C(x,t) is applied to the exciter array to directionally transport the phase change material, which serves as a heat carrier, in the form of wave-like pulses.

9. The intelligent thermal regulation method for outdoor mobile equipment according to claim 8, characterized in that, The adaptive peristaltic wave control algorithm coupled with biological rhythms is as follows: C(x,t)=A C (S H (t))·sin(ω C ·t-k C ·x+φ C ); Among them, control amplitude A C Let S be the thermal field entropy. H The function (t) controls the wave angular frequency ω. C With the biological rhythm frequency f B Related, x is a position variable, A C (S H (t) represents the adaptive control amplitude, sin(...) represents the sine wave function, and k... C To control the wave number in space, t is time, φ C To control the phase shift of the wave.

10. The intelligent thermal regulation method for outdoor mobile equipment according to claim 6, characterized in that, When the selected control mode is zoned curing and heat-locking mode, the steps of implementing the strategy for circulating or retaining heat inside the outdoor mobile equipment specifically include: Stop the directional transport of the phase change material in the form of wave-like pulses; It selectively drives some actuators to induce phase change materials in their corresponding conduits to undergo phase change and solidify, thereby forming a thermal insulation barrier in the thermal insulation interlayer of outdoor mobile equipment to lock core heat in the internal core area surrounding the user's torso.

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