A method for optimizing the cooling effect of firefighting suits based on underarm heat dissipation channels

Abstract

The invention discloses a method for optimizing the cooling effect of fire-fighting suits based on underarm heat dissipation channels, and relates to the technical field of fire-fighting equipment, including: S1, constructing an initial underarm heat dissipation data set; S2, quantifying heat dissipation dynamics and outputting underarm heat dissipation performance parameters; S3, regulating airflow disturbances through dynamic curvature and combining a segmented channel design structure to generate a preliminary channel optimization model; S4, forming a multi-channel heat transfer model through a parallel design of main and auxiliary channels and a hierarchical coupling structure; S5, adopting a non-circular wing-shaped cross-section design and a variable cross-section transition to output a channel morphology model; S6, embedding a guide fin and a spiral structure to generate an airflow field optimization model; S7, combining an ant colony optimization algorithm with a gray wolf optimization algorithm to generate a dynamically optimized underarm heat dissipation channel model; S8, obtaining a final optimized fire-fighting suit underarm heat dissipation channel solution. The invention adopts underarm heat dissipation dynamic modeling, multi-channel optimization and hybrid intelligent algorithm tuning to achieve efficient underarm heat dissipation channel design.

Description

Technical Field

[0001] The present invention relates to the technical field of firefighting equipment, and in particular to a method for optimizing the cooling effect of firefighting clothing based on an underarm heat dissipation channel. Background Art

[0002] Fire suits are important protective equipment for firefighters to perform tasks in high temperature environments. Their main function is to isolate the external high temperature and protect the body from flames and high temperature damage. However, fire suits generally have the problem of insufficient heat dissipation performance in actual applications, especially in the armpit area. Due to the limitations of human movement and equipment fit, heat easily accumulates, forming local high temperature areas. This phenomenon not only reduces the comfort of firefighters, but may also further induce heat stress reactions, affecting the physical condition and task efficiency of firefighters. Therefore, improving the heat dissipation performance of fire suits, especially the heat dissipation optimization design for the armpit area, has become the key to solving this problem.

[0003] Existing fire suit designs are mostly focused on improving the thermal insulation properties of materials, such as using high-performance flame-retardant materials and multi-layer composite structures to isolate external heat. Although these designs can significantly reduce the transfer of external heat, they are insufficient in terms of heat dissipation. Especially in closed or semi-enclosed areas such as the armpits, due to the lack of effective heat transfer pathways, heat accumulates in this area and is difficult to dissipate, causing the wearer's local body temperature to rise rapidly. Some studies have attempted to enhance the heat dissipation performance by adding ventilation channels or using breathable materials inside fire suits, but these methods also have many limitations in practical applications. For example, while breathable materials can improve heat dissipation performance, they can easily reduce the thermal insulation effect of clothing; and the design of ventilation channels cannot effectively match the local heat dissipation needs of the human body due to their simple structure. Especially in complex task environments, their heat dissipation efficiency is difficult to meet actual needs.

[0004] Other existing technologies integrate active cooling systems into fire suits, such as embedding water cooling pipes or using micro fans to enhance heat dissipation. Although such methods can alleviate the problem of local heat accumulation to a certain extent, they rely on additional power sources, increase the complexity and weight of the equipment, and are not only not conducive to firefighters' long-term actions in high-temperature environments, but also put forward higher requirements on the wearability and maintainability of fire suits. In addition, these active cooling methods have limited effects in small areas such as the armpits, and it is difficult to fully achieve efficient dissipation of local heat. Therefore, the current active and passive heat dissipation design schemes cannot achieve a good balance between heat dissipation efficiency, clothing performance and wearing comfort.

[0005] The existing technology also has the problem of insufficient research and optimization of the heat transfer characteristics of the underarm area. Due to the anatomical characteristics and the limitations of the fire suit structure, the heat dissipation in the underarm area involves the synergy of multiple mechanisms such as heat conduction, convective heat transfer and evaporative heat dissipation. However, in the existing fire suit design, there is a general lack of systematic analysis and optimization of these three heat dissipation mechanisms, and it is difficult to solve the heat dissipation bottleneck in the underarm area only through a single material improvement or structural adjustment. For example, most of the existing channel-type heat dissipation designs use simple straight air ducts, which fail to consider the significant impact of airflow disturbances on heat exchange efficiency; in terms of evaporative heat dissipation, they have not been able to fully combine the humidity changes and airflow field characteristics of the underarm area for in-depth optimization.

[0006] In addition, existing fire suit designs usually lack intelligent optimization methods and cannot adjust the heat dissipation performance in real time according to different mission environments and the activity status of firefighters. For example, the existing technology fails to combine advanced optimization algorithms to perform multiple rounds of tuning on the channel morphology, airflow field distribution and structural parameters to maximize the heat dissipation efficiency. Especially in the armpit area, the existing technology fails to make full use of computational simulation technology and intelligent algorithms to optimize the local heat dissipation design, resulting in insufficient pertinence and adaptability of the design solution.

[0007] Based on the above analysis, the existing technology has the following major defects in the optimization of heat dissipation in the armpit area: First, the existing channel heat dissipation structure design is relatively simple, and fails to fully consider the heat transfer mechanism and airflow disturbance characteristics of the armpit area, resulting in low heat dissipation efficiency; second, the quantification and modeling of the dynamic characteristics of heat dissipation in the armpit area are insufficient, and there is a lack of scientific design basis; third, there is a lack of intelligent optimization methods for the channel structure and parameters, and it is difficult for the design scheme to take into account both the heat dissipation performance and the overall wearing comfort of the fire suit.

[0008] Therefore, how to provide a method for optimizing the cooling effect of fire suits based on underarm heat dissipation channels is an urgent problem that technicians in this field need to solve. Summary of the invention

[0009] One purpose of the present invention is to propose a method for optimizing the cooling effect of fire suits based on underarm heat dissipation channels. The present invention describes in detail the efficient design and optimization process of underarm heat dissipation channels by constructing an underarm heat dissipation dynamic model, combining multi-channel optimization design and intelligent algorithm tuning methods. Through technologies such as dynamic curvature adjustment, non-circular cross-section design, airflow disturbance enhancement and intelligent tuning, the present invention significantly improves the heat dissipation performance of the underarm area, and effectively solves the problems of heat accumulation and low heat dissipation efficiency of fire suits in high temperature environments. At the same time, the present invention takes into account both wearing comfort and intelligent adaptability, and provides technical guarantees for the safety and work efficiency of firefighters in high-temperature tasks.

[0010] A method for optimizing the cooling effect of firefighting clothing based on underarm heat dissipation channels according to an embodiment of the present invention includes the following steps:

[0011] S1, collecting heat distribution and airflow characteristic data of the underarm area, and constructing an initial underarm heat dissipation data set;

[0012] S2. Based on the initial data set of underarm heat dissipation, the heat dissipation dynamics are quantified through heat conduction characteristic curves, convection heat transfer analysis and evaporative heat dissipation characteristics, and the underarm heat dissipation performance parameters are output;

[0013] S3. Design the three-dimensional channel morphology based on the underarm heat dissipation performance parameters, adjust the airflow disturbance through dynamic curvature, and optimize the geometric characteristics of the inlet section, core section and outlet section in combination with the segmented channel design structure to generate a preliminary channel optimization model;

[0014] S4. Design a multi-channel parallel topology structure based on the preliminary channel optimization model, increase the air flow rate by designing the main and auxiliary channels in parallel, and combine the layered coupling structure of the inner heat conduction channel and the outer air channel to form a multi-channel heat transfer model;

[0015] S5. Optimize the channel cross-sectional shape based on the multi-channel heat transfer model, adopt non-circular wing-shaped cross-sectional design and variable cross-sectional transition to achieve smooth adjustment from elliptical to flat, and output the optimized channel morphology model;

[0016] S6. Using the optimized channel morphology model, embedding the guide vanes and the spiral structure to optimize the airflow field design, and generating an airflow field optimization model;

[0017] S7. Combine the airflow field optimization model, the ant colony optimization algorithm and the gray wolf optimization algorithm to perform multiple rounds of tuning on the channel design parameters to generate a dynamically optimized underarm heat dissipation channel model;

[0018] S8. Make fire suits based on the dynamically optimized underarm heat dissipation channel model to obtain the final optimized fire suit underarm heat dissipation channel solution.

[0019] Optionally, the S2 specifically includes:

[0020] S21. Based on the initial data set of underarm heat dissipation, describe the relationship between the temperature distribution and heat transfer in the underarm area, and generate a heat conduction characteristic curve:

[0021] ;

[0022] in, represents the heat conduction, represents thermal conductivity, Z represents heat transfer area, represents the temperature difference between the inside and outside of the armpit area, and Y represents the length of the heat transfer path;

[0023] S22. Perform convective heat dissipation analysis based on the airflow velocity field distribution in the armpit area and calculate the convective heat transfer:

[0024] ;

[0025] in, represents the convective heat transfer, represents the empirical coefficient, represents air density, v represents air velocity, L represents characteristic length, represents the fluid viscosity, represents the thermal conductivity of the fluid, A represents the heat dissipation area, and m and n represent the exponential coefficients;

[0026] S23. Analyze the evaporative heat dissipation characteristics by combining the humidity and airflow characteristics of the underarm area, and calculate the evaporative heat dissipation:

[0027] ;

[0028] in, represents the evaporative heat dissipation, Relative humidity, represents the saturated water vapor pressure, R represents the gas constant, S represents the air flow temperature, and U represents the latent heat of vaporization;

[0029] S24. Superimpose the heat conduction, convection heat transfer and evaporative heat dissipation in the armpit area to obtain the total heat dissipation in the armpit area:

[0030] ;

[0031] in, Indicates the total heat dissipation;

[0032] S25. Calculate the heat dissipation rate per unit time based on the heat dissipation performance parameters of the underarm area, and quantify the heat dissipation dynamics by combining the time characteristics of the heat dissipation in the underarm area:

[0033] ;

[0034] in, represents the heat dissipation rate, Indicates the final time point, represents the initial time point;

[0035] S26, output underarm heat dissipation performance parameters, including heat conduction , Convective heat transfer , evaporative heat dissipation , Total heat dissipation and heat dissipation rate .

[0036] Optionally, the S3 specifically includes:

[0037] S31. Design the three-dimensional channel shape based on the heat dissipation performance parameters of the armpit, and dynamically adjust the sine and cosine components of the curvature to enhance the airflow disturbance effect and optimize the heat dissipation performance:

[0038] ;

[0039] in, Indicates channel position The curvature of represents the initial curvature, and represents the dynamic adjustment coefficient, Indicates the total length of the channel;

[0040] S32, optimize the geometric characteristics of the inlet section, the velocity enhancement factor of the inlet section and cross-sectional deformation rate satisfy:

[0041] ;

[0042] in, represents the air flow velocity at the inlet section, represents the external air velocity, represents the cross-sectional area of ​​the inlet section, represents the cross-sectional area of ​​the core segment, represents the deformation adjustment coefficient, Indicates air flow rate;

[0043] S33, optimize the geometric characteristics of the core section, the eddy current intensity of the core section and eddy momentum density satisfy:

[0044] ;

[0045] in, represents the angular velocity of the core vortex, represents the core vortex radius, represents the cross-sectional area of ​​the core segment, Indicates airflow density;

[0046] S34, optimize the geometric characteristics of the outlet section and the diffusion angle of the outlet section and diffusion rate satisfy:

[0047] ;

[0048] in, represents the cross-sectional diameter of the outlet section, represents the cross-sectional diameter of the core segment, Indicates the length of the exit section, represents the air velocity in the core section, represents the air flow velocity at the outlet section, Indicates the cross-sectional area of ​​the outlet section;

[0049] S35, integrating the geometric characteristics of the inlet section, core section and outlet section, and matching the air flow velocity and heat transfer requirements through segmented design;

[0050] S36. Generate a preliminary channel optimization model, including dynamic curvature adjustment parameters, contraction characteristics of the inlet section, vortex enhancement characteristics of the core section, and diffusion characteristics of the outlet section.

[0051] Optionally, the S4 specifically includes:

[0052] S41. Designing a multi-channel parallel topology structure based on the preliminary channel optimization model, wherein the multi-channel parallel topology structure includes a main channel and a plurality of auxiliary channels, wherein the main channel is used to carry a main airflow, and the auxiliary channels are connected to the main channel through branches to form a parallel structure;

[0053] S42, the cross-sectional area of ​​the main channel is larger than that of the auxiliary channel, and the cross-sectional curvature of the main channel is smaller than that of the auxiliary channel, so as to form a local vortex and enhance the disturbance effect of the airflow. The main channel and the auxiliary channel are provided with nodes in the connection area for flow distribution;

[0054] S43, the inner heat conduction channel is arranged in the middle position of the multi-channel topological structure, and is constructed of a heat conductive material, and is used to transfer the heat of the armpit area from the contact point to the outlet portion of the heat conduction channel;

[0055] S44, the outer air channel is arranged around the inner heat conduction channel, and the heat of the inner heat conduction channel is dissipated by using the flow characteristics of the airflow, and the cross-sectional shape and flow rate of the outer air channel are adjusted according to the airflow requirements;

[0056] S45, the inner heat conduction channel is connected to the outer air channel through a contact surface, the auxiliary channels are distributed on both sides of the inner heat conduction channel to form an inner and outer layered coupling structure, and the main channel runs through the heat conduction area and the air channel area;

[0057] S46. A multi-channel heat transfer model is constructed by designing the main and auxiliary channels in parallel and combining the layered coupling structure of the inner heat conduction channel and the outer air channel. The structural arrangement of the inner heat conduction channel and the outer air channel is used to transfer the armpit heat from the contact surface to the outer air flow outlet.

[0058] Optionally, the S5 specifically includes:

[0059] S51. Based on the multi-channel heat transfer model, the curvature distribution of the cross-sectional shape is adjusted to optimize the airflow disturbance:

[0060] ;

[0061] Among them, y represents the height distribution of the cross-sectional shape in the vertical direction, p represents the length of the channel cross-sectional area, represents the thickness adjustment coefficient, u represents the horizontal position coordinate of the cross section,

[0062] S52, the inlet section adopts an elliptical cross-section design, and the airflow introduction effect of the inlet section is enhanced by adjusting the ratio of the major and minor axes:

[0063] ;

[0064] in, represents the ratio of the major axis to the minor axis of the inlet section, represents the major axis diameter of the elliptical cross section, represents the minor axis diameter of the elliptical cross section;

[0065] S53, the core section adopts an wing-shaped cross-section design, and the curvatures of the upper and lower surfaces of the wing-shaped cross-section are adjusted by the formula of step S51 to match the vortex characteristics of the core section. The thickness adjustment coefficient and the optimized distribution of the length parameters of the core section meet the dynamic adjustment requirements of the airflow velocity;

[0066] S54, the outlet section transitions to a flat section through a variable section:

[0067] ;

[0068] in, represents the cross-section transition smoothness rate, represents the change in cross-sectional area, Indicates the length of the transition section;

[0069] S55. Optimize the airflow stability of the core section by adjusting the matching relationship between the wing-shaped cross-section of the core section and the channel curvature:

[0070] ;

[0071] in, represents the local curvature of the wing-shaped section, Indicates channel position The curvature of represents the curvature adjustment coefficient of the wing-shaped section, Indicates the length of the core segment;

[0072] S56. Outputting an optimized channel morphology model, including the elliptical cross-sectional parameters of the inlet section, the wing-shaped cross-sectional parameters of the core section, and the variable cross-sectional transition parameters of the outlet section.

[0073] Optionally, the S6 specifically includes:

[0074] S61. Based on the optimized channel morphology model, guide vanes are embedded in the channel, the guide vanes are evenly arranged along the axial direction of the channel, and the inclination angle of the guide vanes gradually changes to form a layered airflow structure;

[0075] S62, introducing a spiral structure in the core section of the channel, wherein the pitch of the spiral structure gradually decreases along the axial direction of the channel, and the radius of the spiral structure is adjusted section by section according to the airflow velocity distribution, so as to guide the airflow to rotate;

[0076] S63, combining the guide vanes and the spiral structure to optimize the airflow velocity distribution in the channel cross-sectional area, the guide vanes are used to separate the airflow layers, and the spiral structure is used to excite the vortex;

[0077] S64. By adjusting the length, angle and number of the guide vanes, the layer distribution of the airflow is optimized, the pitch and radius of the spiral structure are adjusted, and the rotation and transmission characteristics of the airflow in the core section are enhanced;

[0078] S65, integrate the design of guide vanes and spiral structures, complete airflow stratification and rotation optimization, and unify the airflow disturbance characteristics and heat exchange efficiency as input parameters of the airflow field dynamic model;

[0079] S66. Generate an airflow field optimization model, wherein the airflow field optimization model includes the inclination angle and distribution law of the guide vanes, the geometric characteristics and axial distribution parameters of the spiral structure, and the dynamic distribution of the airflow velocity and vortex intensity.

[0080] Optionally, the S7 specifically includes:

[0081] S71. Combined with the airflow field optimization model, the design parameters of the ant colony optimization algorithm are initialized, and the objective function is constructed to represent the multi-objective heat dissipation performance optimization:

[0082] ;

[0083] Where J represents the objective function, represents the heat transfer of the ith channel, represents the heat transfer time, represents the pressure drop of the airflow in the i-th channel, represents the heat transfer efficiency of the ith channel, and represents the weight factor, and n represents the number of channels;

[0084] S72. The selection probability of each channel is iteratively updated through the ant colony optimization algorithm. The path selection rule is combined with the dynamic pheromone update formula:

[0085] ;

[0086] ;

[0087] ;

[0088] in, represents the pheromone intensity of the i-th path at the t+1th iteration, represents the pheromone intensity of the ith path at the tth iteration, represents the pheromone volatility coefficient, represents the newly added pheromone strength of the i-th path, represents the objective function value of the i-th path, represents the selection probability of the i-th path, represents the information heuristic factor, represents the experience-inspired factor, represents the pheromone intensity of the i-th path, represents the heat transfer efficiency of the jth channel;

[0089] S73. Based on the results of ant colony optimization, the channel parameters are globally tuned in combination with the gray wolf optimization algorithm:

[0090] ;

[0091] ;

[0092] ;

[0093] Where X(t+1) represents the design parameter position at the t+1th iteration, X(t) represents the design parameter position at the tth iteration, represents the design parameters of the optimal solution in the current population, represents the design parameters of the suboptimal solution in the current population, represents the design parameters of the third best solution in the current population, represents the dynamic convergence factor, represents the parameter adjustment deviation, e represents the linear attenuation coefficient, and Represents a random number;

[0094] S74, using the global tuning result to adjust key parameters of the channel, the key parameters including the inclination angle range of the guide vane, the pitch and rotation radius of the spiral structure, and the airflow disturbance adjustment coefficient, to generate distributed parameters for multiple rounds of optimization;

[0095] S75. Perform multiple rounds of simulation verification on the optimized channel parameters, with the simulation scenarios covering the armpit heat load, humidity, and airflow velocity under different task intensities;

[0096] S76. Generate a dynamically optimized underarm heat dissipation channel model, wherein the dynamically optimized underarm heat dissipation channel model includes distribution patterns of guide fins and spiral structures, airflow disturbance characteristics, and optimized heat transfer parameters.

[0097] The beneficial effects of the present invention are:

[0098] First, by constructing a dynamic model of underarm heat dissipation, the present invention comprehensively quantifies various heat transfer mechanisms such as heat conduction, convection heat transfer and evaporative heat dissipation, clarifies the key parameters affecting heat dissipation in the underarm area, and provides a scientific basis for subsequent design.

[0099] Secondly, the present invention effectively enhances the disturbance of airflow and heat transfer capacity in the channel through dynamic curvature adjustment, segmented channel design and optimization of multi-channel parallel topology, thus achieving efficient heat dissipation performance. At the same time, the channel cross-sectional shape optimization adopts non-circular wing-shaped cross-sectional design and variable cross-sectional transition technology, making the airflow in the channel flow more smoothly, increasing the heat exchange area between the airflow and the channel wall, and further improving the heat dissipation efficiency.

[0100] In addition, the present invention embeds guide fins and spiral structures in the channel to form a dynamic distribution of airflow that combines stratification and rotation, thereby improving the airflow disturbance capability and heat transfer rate, allowing the heat in the armpit area to be quickly discharged, and providing technical support for heat dissipation in local high-temperature areas.

[0101] Finally, the present invention combines the ant colony optimization algorithm with the gray wolf optimization algorithm to perform multiple rounds of tuning on the channel design parameters, generating a dynamically optimized underarm heat dissipation channel model, and realizing intelligent adjustment of channel parameters and dynamic adaptability of efficient heat dissipation performance. The ultimately optimized fire suit underarm heat dissipation channel solution combines efficient heat dissipation performance with good wearing comfort, providing reliable technical support for firefighters in high-temperature mission environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0102] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0103] Figure 1 This is an overall flow chart of a method proposed by the present invention for optimizing the cooling effect of firefighting clothing based on the underarm heat dissipation channel;

[0104] Figure 2 This is a schematic diagram of a multi-channel parallel topology structure of a method proposed in the present invention for optimizing the cooling effect of firefighting clothing based on underarm heat dissipation channels. DETAILED DESCRIPTION

[0105] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0106] refer to Figure 1 and Figure 2 , a method for optimizing the cooling effect of firefighting clothing based on underarm heat dissipation channels, comprising the following steps:

[0107] S1, collecting heat distribution and airflow characteristic data of the underarm area, and constructing an initial underarm heat dissipation data set;

[0108] S2. Based on the initial data set of underarm heat dissipation, the heat dissipation dynamics are quantified through heat conduction characteristic curves, convection heat transfer analysis and evaporative heat dissipation characteristics, and the underarm heat dissipation performance parameters are output;

[0109] S3. Design the three-dimensional channel morphology based on the underarm heat dissipation performance parameters, adjust the airflow disturbance through dynamic curvature, and optimize the geometric characteristics of the inlet section, core section and outlet section in combination with the segmented channel design structure to generate a preliminary channel optimization model;

[0110] S4. Design a multi-channel parallel topology structure based on the preliminary channel optimization model, increase the air flow rate by designing the main and auxiliary channels in parallel, and combine the layered coupling structure of the inner heat conduction channel and the outer air channel to form a multi-channel heat transfer model;

[0111] S5. Optimize the channel cross-sectional shape based on the multi-channel heat transfer model, adopt non-circular wing-shaped cross-sectional design and variable cross-sectional transition to achieve smooth adjustment from elliptical to flat, and output the optimized channel morphology model;

[0112] S6. Using the optimized channel morphology model, embedding the guide vanes and the spiral structure to optimize the airflow field design, and generating an airflow field optimization model;

[0113] S7. Combine the airflow field optimization model, the ant colony optimization algorithm and the gray wolf optimization algorithm to perform multiple rounds of tuning on the channel design parameters to generate a dynamically optimized underarm heat dissipation channel model;

[0114] S8. Make fire suits based on the dynamically optimized underarm heat dissipation channel model to obtain the final optimized fire suit underarm heat dissipation channel solution.

[0115] In this implementation, S2 specifically includes:

[0116] S21. Based on the initial data set of underarm heat dissipation, describe the relationship between the temperature distribution and heat transfer in the underarm area, and generate a heat conduction characteristic curve:

[0117] ;

[0118] in, represents the heat conduction, represents thermal conductivity, Z represents heat transfer area, represents the temperature difference between the inside and outside of the armpit area, and Y represents the length of the heat transfer path;

[0119] S22. Perform convective heat dissipation analysis based on the airflow velocity field distribution in the armpit area and calculate the convective heat transfer:

[0120] ;

[0121] in, represents the convective heat transfer, represents the empirical coefficient, represents air density, v represents air velocity, L represents characteristic length, represents the fluid viscosity, represents the thermal conductivity of the fluid, A represents the heat dissipation area, and m and n represent the exponential coefficients;

[0122] S23. Analyze the evaporative heat dissipation characteristics by combining the humidity and airflow characteristics of the underarm area, and calculate the evaporative heat dissipation:

[0123] ;

[0124] in, represents the evaporative heat dissipation, Relative humidity, represents the saturated water vapor pressure, R represents the gas constant, S represents the air flow temperature, and U represents the latent heat of vaporization;

[0125] S24. Superimpose the heat conduction, convection heat transfer and evaporative heat dissipation in the armpit area to obtain the total heat dissipation in the armpit area:

[0126] ;

[0127] in, Indicates the total heat dissipation;

[0128] S25. Calculate the heat dissipation rate per unit time based on the heat dissipation performance parameters of the underarm area, and quantify the heat dissipation dynamics by combining the time characteristics of the heat dissipation in the underarm area:

[0129] ;

[0130] in, represents the heat dissipation rate, Indicates the final time point, represents the initial time point;

[0131] S26, output underarm heat dissipation performance parameters, including heat conduction , Convective heat transfer , evaporative heat dissipation , total heat dissipation and heat dissipation rate .

[0132] In this implementation, S3 specifically includes:

[0133] S31. Design the three-dimensional channel shape based on the heat dissipation performance parameters of the armpit, and dynamically adjust the sine and cosine components of the curvature to enhance the airflow disturbance effect and optimize the heat dissipation performance:

[0134] ;

[0135] in, Indicates channel position The curvature of represents the initial curvature, and represents the dynamic adjustment coefficient, Indicates the total length of the channel;

[0136] S32, optimize the geometric characteristics of the inlet section, the velocity enhancement factor of the inlet section and cross-sectional deformation rate satisfy:

[0137] ;

[0138] in, represents the air flow velocity at the inlet section, represents the external air velocity, represents the cross-sectional area of ​​the inlet section, represents the cross-sectional area of ​​the core segment, represents the deformation adjustment coefficient, Indicates air flow rate;

[0139] S33, optimize the geometric characteristics of the core section, the eddy current intensity of the core section and eddy momentum density satisfy:

[0140] ;

[0141] in, represents the angular velocity of the core vortex, represents the core vortex radius, represents the cross-sectional area of ​​the core segment, Indicates airflow density;

[0142] S34, optimize the geometric characteristics of the outlet section and the diffusion angle of the outlet section and diffusion rate satisfy:

[0143] ;

[0144] in, represents the cross-sectional diameter of the outlet section, represents the cross-sectional diameter of the core segment, Indicates the length of the exit section, represents the air velocity in the core section, represents the air flow velocity at the outlet section, Indicates the cross-sectional area of ​​the outlet section;

[0145] S35, integrating the geometric characteristics of the inlet section, core section and outlet section, and matching the air flow velocity and heat transfer requirements through segmented design;

[0146] S36. Generate a preliminary channel optimization model, including dynamic curvature adjustment parameters, contraction characteristics of the inlet section, vortex enhancement characteristics of the core section, and diffusion characteristics of the outlet section.

[0147] In this implementation, S4 specifically includes:

[0148] S41. Designing a multi-channel parallel topology structure based on the preliminary channel optimization model, wherein the multi-channel parallel topology structure includes a main channel and a plurality of auxiliary channels, wherein the main channel is used to carry a main airflow, and the auxiliary channels are connected to the main channel through branches to form a parallel structure;

[0149] S42, the cross-sectional area of ​​the main channel is larger than that of the auxiliary channel, and the cross-sectional curvature of the main channel is smaller than that of the auxiliary channel, so as to form a local vortex and enhance the disturbance effect of the airflow. The main channel and the auxiliary channel are provided with nodes in the connection area for flow distribution;

[0150] S43, the inner heat conduction channel is arranged in the middle position of the multi-channel topological structure, and is constructed of a heat conductive material, and is used to transfer the heat of the armpit area from the contact point to the outlet portion of the heat conduction channel;

[0151] S44, the outer air channel is arranged around the inner heat conduction channel, and the heat of the inner heat conduction channel is dissipated by using the flow characteristics of the airflow, and the cross-sectional shape and flow rate of the outer air channel are adjusted according to the airflow requirements;

[0152] S45, the inner heat conduction channel is connected to the outer air channel through a contact surface, the auxiliary channels are distributed on both sides of the inner heat conduction channel to form an inner and outer layered coupling structure, and the main channel runs through the heat conduction area and the air channel area;

[0153] S46. A multi-channel heat transfer model is constructed by designing the main and auxiliary channels in parallel and combining the layered coupling structure of the inner heat conduction channel and the outer air channel. The structural arrangement of the inner heat conduction channel and the outer air channel is used to transfer the armpit heat from the contact surface to the outer air flow outlet.

[0154] In this implementation manner, S5 specifically includes:

[0155] S51. Based on the multi-channel heat transfer model, the curvature distribution of the cross-sectional shape is adjusted to optimize the airflow disturbance:

[0156] ;

[0157] Among them, y represents the height distribution of the cross-sectional shape in the vertical direction, p represents the length of the channel cross-sectional area, represents the thickness adjustment coefficient, u represents the horizontal position coordinate of the cross section,

[0158] S52, the inlet section adopts an elliptical cross-section design, and the airflow introduction effect of the inlet section is enhanced by adjusting the ratio of the major and minor axes:

[0159] ;

[0160] in, represents the ratio of the major and minor axes of the inlet section, represents the major axis diameter of the elliptical cross section, represents the minor axis diameter of the elliptical cross section;

[0161] S53, the core section adopts an wing-shaped cross-section design, and the curvatures of the upper and lower surfaces of the wing-shaped cross-section are adjusted by the formula of step S51 to match the vortex characteristics of the core section. The thickness adjustment coefficient and the optimized distribution of the length parameters of the core section meet the dynamic adjustment requirements of the airflow velocity;

[0162] S54, the outlet section transitions to a flat section through a variable section:

[0163] ;

[0164] in, represents the cross-section transition smoothness rate, represents the change in cross-sectional area, Indicates the length of the transition section;

[0165] S55. Optimize the airflow stability of the core section by adjusting the matching relationship between the wing-shaped cross-section of the core section and the channel curvature:

[0166] ;

[0167] in, represents the local curvature of the wing-shaped section, Indicates channel position The curvature of represents the curvature adjustment coefficient of the wing-shaped section, Indicates the length of the core segment;

[0168] S56. Outputting an optimized channel morphology model, including the elliptical cross-sectional parameters of the inlet section, the wing-shaped cross-sectional parameters of the core section, and the variable cross-sectional transition parameters of the outlet section.

[0169] In this implementation manner, S6 specifically includes:

[0170] S61. Based on the optimized channel morphology model, guide vanes are embedded in the channel, the guide vanes are evenly arranged along the axial direction of the channel, and the inclination angle of the guide vanes gradually changes to form a layered airflow structure;

[0171] S62, introducing a spiral structure in the core section of the channel, wherein the pitch of the spiral structure gradually decreases along the axial direction of the channel, and the radius of the spiral structure is adjusted section by section according to the airflow velocity distribution, so as to guide the airflow to rotate;

[0172] S63, combining the guide vanes and the spiral structure to optimize the airflow velocity distribution in the channel cross-sectional area, the guide vanes are used to separate the airflow layers, and the spiral structure is used to excite the vortex;

[0173] S64. By adjusting the length, angle and number of the guide vanes, the layer distribution of the airflow is optimized, the pitch and radius of the spiral structure are adjusted, and the rotation and transmission characteristics of the airflow in the core section are enhanced;

[0174] S65, integrate the design of guide vanes and spiral structures, complete airflow stratification and rotation optimization, and unify the airflow disturbance characteristics and heat exchange efficiency as input parameters of the airflow field dynamic model;

[0175] S66. Generate an airflow field optimization model, wherein the airflow field optimization model includes the inclination angle and distribution law of the guide vanes, the geometric characteristics and axial distribution parameters of the spiral structure, and the dynamic distribution of the airflow velocity and vortex intensity.

[0176] In this implementation manner, the S7 specifically includes:

[0177] S71. Combined with the airflow field optimization model, the design parameters of the ant colony optimization algorithm are initialized, and the objective function is constructed to represent the multi-objective heat dissipation performance optimization:

[0178] ;

[0179] Where J represents the objective function, represents the heat transfer of the ith channel, represents the heat transfer time, represents the pressure drop of the airflow in the i-th channel, represents the heat transfer efficiency of the ith channel, and represents the weight factor, and n represents the number of channels;

[0180] S72. The selection probability of each channel is iteratively updated through the ant colony optimization algorithm. The path selection rule is combined with the dynamic pheromone update formula:

[0181] ;

[0182] ;

[0183] ;

[0184] in, represents the pheromone intensity of the i-th path at the t+1th iteration, represents the pheromone intensity of the ith path at the tth iteration, represents the pheromone volatility coefficient, represents the newly added pheromone strength of the i-th path, represents the objective function value of the i-th path, represents the selection probability of the i-th path, represents the information heuristic factor, represents the experience-inspired factor, represents the pheromone intensity of the i-th path, represents the heat transfer efficiency of the jth channel;

[0185] S73. Based on the results of ant colony optimization, the channel parameters are globally tuned in combination with the gray wolf optimization algorithm:

[0186] ;

[0187] ;

[0188] ;

[0189] Where X(t+1) represents the design parameter position at the t+1th iteration, and X(t) represents the design parameter position at the tth iteration. represents the design parameters of the optimal solution in the current population, represents the design parameters of the suboptimal solution in the current population, represents the design parameters of the third best solution in the current population, represents the dynamic convergence factor, represents the parameter adjustment deviation, e represents the linear attenuation coefficient, and Represents a random number;

[0190] S74, using the global tuning result to adjust key parameters of the channel, the key parameters including the inclination angle range of the guide vane, the pitch and rotation radius of the spiral structure, and the airflow disturbance adjustment coefficient, to generate distributed parameters for multiple rounds of optimization;

[0191] S75. Perform multiple rounds of simulation verification on the optimized channel parameters, with the simulation scenarios covering the armpit heat load, humidity, and airflow velocity under different task intensities;

[0192] S76. Generate a dynamically optimized underarm heat dissipation channel model, wherein the dynamically optimized underarm heat dissipation channel model includes distribution patterns of guide fins and spiral structures, airflow disturbance characteristics, and optimized heat transfer parameters.

[0193] Embodiment 1:

[0194] In order to verify the feasibility of the present invention in implementation, the present invention was applied to the heat dissipation optimization design of the armpit area of ​​fire suits in a high-temperature working environment of a fire rescue team. The experiment selected front-line firefighters from a fire brigade of a certain eastern province as experimental subjects, and the research location was a laboratory simulating a high-temperature fire scene. The core goal of the experiment is to improve the heat dissipation performance of the armpit area, reduce the heat stress burden of firefighters, and improve wearing comfort through the fire suit design based on the optimization of the armpit heat dissipation channel proposed by the present invention.

[0195] In the experiment, a set of fire suits optimized for underarm heat dissipation was designed. The fire suits were embedded with a multi-channel parallel topology structure, and the airflow field was optimized by combining guide fins and spiral structures. The experiment used infrared thermal imagers, airflow velocity sensors, and temperature and humidity sensors to monitor the heat transfer and airflow changes in the fire suits in real time, focusing on evaluating the heat dissipation efficiency and dynamic distribution of airflow velocity in the underarm area. The experimental subjects were divided into an experimental group and a control group. The experimental group wore fire suits designed based on the present invention, and the control group wore fire suits of traditional design. The experiment was divided into two scenarios: static heat exposure and dynamic high-temperature operation, to fully verify the actual effect of the present invention.

[0196] In the static thermal exposure scenario, firefighters were exposed to a simulated fire environment with the ambient temperature set at 50°C and the humidity set at 40% for 30 minutes.

[0197] Table 1 Comparison of fire suit performance between the experimental group and the control group

[0198] ;

[0199] It can be clearly seen from Table 1 above that the fire suits in the experimental group showed significant advantages in terms of heat dissipation performance and wearing comfort in the armpit area. First, in terms of the average temperature in the armpit area, the average temperature of the fire suits in the experimental group was 35.6°C, which was significantly lower than 41.2°C in the control group. This shows that the optimized armpit heat dissipation channel can effectively reduce the heat accumulation in the armpit area. Further analysis of the temperature rise in the armpit area showed that the experimental group was only 4.2°C, while the control group was as high as 9.8°C, indicating that the fire suits in the experimental group had stronger temperature control capabilities in high temperature environments and could effectively delay the rapid increase in local temperature.

[0200] In terms of heat dissipation rate, the heat dissipation rate of the experimental group was 0.82 W / cm², almost twice that of the control group (0.45 W / cm²), showing the significant effect of the optimized multi-channel parallel structure and airflow disturbance design in improving the efficiency of heat transfer. In addition, the airflow velocity in the armpit area of ​​the firefighting suit of the experimental group reached 1.6 m / s, compared with 0.9 m / s of the control group, further proving that the optimized channel design can form a stronger airflow guidance and disturbance effect, thereby accelerating the transfer and discharge of heat.

[0201] Humidity control is also one of the important indicators of heat dissipation performance. The humidity in the armpit area of ​​the fire suits of the experimental group was always maintained below 65%, while the humidity in the control group reached 82%, indicating that the channel design of the fire suits of the experimental group not only increased the airflow speed, but also enhanced the ability to discharge water vapor, effectively preventing the discomfort caused by excessive humidity. In addition, the core body temperature of the firefighters in the experimental group rose by only 1.1℃, which was much lower than the 2.7℃ of the control group, further verifying the superiority of the optimized design in delaying heat stress.

[0202] The subjective comfort score shows that the fire suit of the experimental group scored 4.6 points (out of 5 points), which is higher than the 3.2 points of the control group. This shows that the optimized design not only provides excellent heat dissipation performance, but also fully considers the actual wearing experience of firefighters, thus enhancing the comprehensive performance of fire suits.

[0203] Comprehensive analysis shows that the fire suit design based on the optimization of the underarm heat dissipation channel proposed in the present invention is significantly superior to the traditional design in terms of heat dissipation performance, temperature and humidity control, and wearing comfort, providing strong technical support for firefighters to perform tasks in high temperature environments.

[0204] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for optimizing the cooling effect of firefighting clothing based on underarm heat dissipation channels, characterized in that: The steps include: S1, collecting heat distribution and airflow characteristic data of the underarm area, and constructing an initial underarm heat dissipation data set; S2. Based on the initial data set of underarm heat dissipation, the heat dissipation dynamics are quantified through heat conduction characteristic curves, convection heat transfer analysis and evaporative heat dissipation characteristics, and the underarm heat dissipation performance parameters are output; S3. Design the three-dimensional channel morphology based on the underarm heat dissipation performance parameters, adjust the airflow disturbance through dynamic curvature, and optimize the geometric characteristics of the inlet section, core section and outlet section in combination with the segmented channel design structure to generate a preliminary channel optimization model; S4. Design a multi-channel parallel topology structure based on the preliminary channel optimization model, increase the air flow rate by designing the main and auxiliary channels in parallel, and combine the layered coupling structure of the inner heat conduction channel and the outer air channel to form a multi-channel heat transfer model; S5. Optimize the channel cross-sectional shape based on the multi-channel heat transfer model, adopt non-circular wing-shaped cross-sectional design and variable cross-sectional transition to achieve smooth adjustment from elliptical to flat, and output the optimized channel morphology model; S6. Using the optimized channel morphology model, embedding the guide vanes and the spiral structure to optimize the airflow field design, and generating an airflow field optimization model; S7. Combine the airflow field optimization model, the ant colony optimization algorithm and the gray wolf optimization algorithm to perform multiple rounds of tuning on the channel design parameters to generate a dynamically optimized underarm heat dissipation channel model; S8. Make fire suits based on the dynamically optimized underarm heat dissipation channel model to obtain the final optimized fire suit underarm heat dissipation channel solution.

2. The method for optimizing the cooling effect of firefighting clothing based on the underarm heat dissipation channel according to claim 1 is characterized in that: The S2 specifically includes: S21. Based on the initial data set of underarm heat dissipation, describe the relationship between the temperature distribution and heat transfer in the underarm area, and generate a heat conduction characteristic curve: ； in, represents the heat conduction, represents thermal conductivity, Z represents heat transfer area, represents the temperature difference between the inside and outside of the armpit area, and Y represents the length of the heat transfer path; S22. Perform convective heat dissipation analysis based on the airflow velocity field distribution in the armpit area and calculate the convective heat transfer: ； in, is the convective heat transfer, represents the empirical coefficient, represents air density, v represents air velocity, L represents characteristic length, represents the fluid viscosity, represents the thermal conductivity of the fluid, A represents the heat dissipation area, and m and n represent the exponential coefficients; S23. Analyze the evaporative heat dissipation characteristics by combining the humidity and airflow characteristics of the underarm area, and calculate the evaporative heat dissipation: ; in, represents the evaporative heat dissipation, Relative humidity, represents the saturated water vapor pressure, R represents the gas constant, S represents the air flow temperature, and U represents the latent heat of vaporization; S24. Superimpose the heat conduction, convection heat transfer and evaporative heat dissipation in the armpit area to obtain the total heat dissipation in the armpit area: ; in, Indicates the total heat dissipation; S25. Calculate the heat dissipation rate per unit time based on the heat dissipation performance parameters of the underarm area, and quantify the heat dissipation dynamics by combining the time characteristics of the heat dissipation in the underarm area: ； in, represents the heat dissipation rate, Indicates the final time point, represents the initial time point; S26, output underarm heat dissipation performance parameters, including heat conduction , Convective heat transfer , evaporative heat dissipation , total heat dissipation and heat dissipation rate .

3. The method for optimizing the cooling effect of firefighting clothing based on the underarm heat dissipation channel according to claim 1 is characterized in that: The S3 specifically includes: S31. Design the three-dimensional channel shape based on the heat dissipation performance parameters of the armpit, and dynamically adjust the sine and cosine components of the curvature to enhance the airflow disturbance effect and optimize the heat dissipation performance: ； in, Indicates channel position The curvature of represents the initial curvature, and represents the dynamic adjustment coefficient, Indicates the total length of the channel; S32, optimize the geometric characteristics of the inlet section, the velocity enhancement factor of the inlet section and cross-sectional deformation rate satisfy: ; in, represents the air flow velocity at the inlet section, represents the external air velocity, represents the cross-sectional area of ​​the inlet section, represents the cross-sectional area of ​​the core segment, represents the deformation adjustment coefficient, Indicates air flow rate; S33, optimize the geometric characteristics of the core section, the eddy current intensity of the core section and eddy momentum density satisfy: ; in, represents the angular velocity of the core vortex, represents the core vortex radius, represents the cross-sectional area of ​​the core segment, Indicates airflow density; S34, optimize the geometric characteristics of the outlet section and the diffusion angle of the outlet section and diffusion rate satisfy: ; in, represents the cross-sectional diameter of the outlet section, represents the cross-sectional diameter of the core segment, Indicates the length of the exit section, represents the air velocity in the core section, represents the air flow velocity at the outlet section, Indicates the cross-sectional area of ​​the outlet section; S35, integrating the geometric characteristics of the inlet section, core section and outlet section, and matching the air flow velocity and heat transfer requirements through segmented design; S36. Generate a preliminary channel optimization model, including dynamic curvature adjustment parameters, contraction characteristics of the inlet section, vortex enhancement characteristics of the core section, and diffusion characteristics of the outlet section.

4. The method for optimizing the cooling effect of fire-fighting clothing based on the underarm heat dissipation channel according to claim 1 is characterized in that: The S4 specifically includes: S41. Designing a multi-channel parallel topology structure based on the preliminary channel optimization model, wherein the multi-channel parallel topology structure includes a main channel and a plurality of auxiliary channels, wherein the main channel is used to carry a main airflow, and the auxiliary channels are connected to the main channel through branches to form a parallel structure; S42, the cross-sectional area of ​​the main channel is larger than that of the auxiliary channel, and the cross-sectional curvature of the main channel is smaller than that of the auxiliary channel, so as to form a local vortex and enhance the disturbance effect of the airflow. The main channel and the auxiliary channel are provided with nodes in the connection area for flow distribution; S43, the inner heat conduction channel is arranged in the middle position of the multi-channel topological structure, and is constructed of a heat conductive material, and is used to transfer the heat of the armpit area from the contact point to the outlet portion of the heat conduction channel; S44, the outer air channel is arranged around the inner heat conduction channel, and the heat of the inner heat conduction channel is dissipated by using the flow characteristics of the airflow, and the cross-sectional shape and flow rate of the outer air channel are adjusted according to the airflow requirements; S45, the inner heat conduction channel is connected to the outer air channel through a contact surface, the auxiliary channels are distributed on both sides of the inner heat conduction channel to form an inner and outer layered coupling structure, and the main channel runs through the heat conduction area and the air channel area; S46. A multi-channel heat transfer model is constructed by designing the main and auxiliary channels in parallel and combining the layered coupling structure of the inner heat conduction channel and the outer air channel. The structural arrangement of the inner heat conduction channel and the outer air channel is used to transfer the armpit heat from the contact surface to the outer air flow outlet.

5. The method for optimizing the cooling effect of fire-fighting clothing based on the underarm heat dissipation channel according to claim 1 is characterized in that: The S5 specifically includes: S51. Based on the multi-channel heat transfer model, the curvature distribution of the cross-sectional shape is adjusted to optimize the airflow disturbance: ; Among them, y represents the height distribution of the cross-sectional shape in the vertical direction, p represents the length of the channel cross-sectional area, represents the thickness adjustment coefficient, u represents the horizontal position coordinate of the cross section, S52, the inlet section adopts an elliptical cross-section design, and the airflow introduction effect of the inlet section is enhanced by adjusting the ratio of the major and minor axes: ; in, represents the ratio of the major axis to the minor axis of the inlet section, represents the major axis diameter of the elliptical cross section, represents the minor axis diameter of the elliptical cross section; S53, the core section adopts an wing-shaped cross-section design, and the curvatures of the upper and lower surfaces of the wing-shaped cross-section are adjusted by the formula of step S51 to match the vortex characteristics of the core section. The thickness adjustment coefficient and the optimized distribution of the length parameters of the core section meet the dynamic adjustment requirements of the airflow velocity; S54, the outlet section transitions to a flat section through a variable section: ； in, represents the cross-section transition smoothness rate, represents the change in cross-sectional area, Indicates the length of the transition section; S55. Optimize the airflow stability of the core section by adjusting the matching relationship between the wing-shaped cross-section of the core section and the channel curvature: ; in, represents the local curvature of the wing-shaped section, Indicates channel position The curvature of represents the curvature adjustment coefficient of the wing-shaped section, Indicates the length of the core segment; S56. Outputting an optimized channel morphology model, including the elliptical cross-sectional parameters of the inlet section, the wing-shaped cross-sectional parameters of the core section, and the variable cross-sectional transition parameters of the outlet section.

6. The method for optimizing the cooling effect of fire-fighting clothing based on the underarm heat dissipation channel according to claim 1 is characterized in that: The S6 specifically includes: S61. Based on the optimized channel morphology model, guide vanes are embedded in the channel, the guide vanes are evenly arranged along the axial direction of the channel, and the inclination angle of the guide vanes gradually changes to form a layered airflow structure; S62, introducing a spiral structure in the core section of the channel, wherein the pitch of the spiral structure gradually decreases along the axial direction of the channel, and the radius of the spiral structure is adjusted section by section according to the airflow velocity distribution, so as to guide the airflow to rotate; S63, combining the guide vanes and the spiral structure to optimize the airflow velocity distribution in the channel cross-sectional area, the guide vanes are used to separate the airflow layers, and the spiral structure is used to excite the vortex; S64. By adjusting the length, angle and number of the guide vanes, the layer distribution of the airflow is optimized, the pitch and radius of the spiral structure are adjusted, and the rotation and transmission characteristics of the airflow in the core section are enhanced; S65, integrate the design of guide vanes and spiral structures, complete airflow stratification and rotation optimization, and unify the airflow disturbance characteristics and heat exchange efficiency as input parameters of the airflow field dynamic model; S66. Generate an airflow field optimization model, wherein the airflow field optimization model includes the inclination angle and distribution law of the guide vanes, the geometric characteristics and axial distribution parameters of the spiral structure, and the dynamic distribution of the airflow velocity and vortex intensity.

7. The method for optimizing the cooling effect of fire-fighting clothing based on the underarm heat dissipation channel according to claim 1 is characterized in that: The S7 specifically includes: S71. Combined with the airflow field optimization model, the design parameters of the ant colony optimization algorithm are initialized, and the objective function is constructed to represent the multi-objective heat dissipation performance optimization: ； Where J represents the objective function, represents the heat transfer of the ith channel, represents the heat transfer time, represents the pressure drop of the airflow in the i-th channel, represents the heat transfer efficiency of the ith channel, and represents the weight factor, and n represents the number of channels; S72. The selection probability of each channel is iteratively updated through the ant colony optimization algorithm. The path selection rule is combined with the dynamic pheromone update formula: ; ; ; in, represents the pheromone intensity of the i-th path at the t+1th iteration, represents the pheromone intensity of the ith path at the tth iteration, represents the pheromone volatility coefficient, represents the newly added pheromone strength of the i-th path, represents the objective function value of the i-th path, represents the selection probability of the i-th path, represents the information heuristic factor, represents the experience-inspired factor, represents the pheromone intensity of the i-th path, represents the heat transfer efficiency of the jth channel; S73. Based on the results of ant colony optimization, the channel parameters are globally tuned in combination with the gray wolf optimization algorithm: ; ; ; Where X(t+1) represents the design parameter position at the t+1th iteration, X(t) represents the design parameter position at the tth iteration, represents the design parameters of the optimal solution in the current population, represents the design parameters of the suboptimal solution in the current population, represents the design parameters of the third best solution in the current population, represents the dynamic convergence factor, represents the parameter adjustment deviation, e represents the linear attenuation coefficient, and Represents a random number; S74, using the global tuning result to adjust key parameters of the channel, the key parameters including the inclination angle range of the guide vane, the pitch and rotation radius of the spiral structure, and the airflow disturbance adjustment coefficient, to generate distributed parameters for multiple rounds of optimization; S75. Perform multiple rounds of simulation verification on the optimized channel parameters, with the simulation scenarios covering the armpit heat load, humidity, and airflow velocity under different task intensities; S76. Generate a dynamically optimized underarm heat dissipation channel model, wherein the dynamically optimized underarm heat dissipation channel model includes distribution patterns of guide fins and spiral structures, airflow disturbance characteristics, and optimized heat transfer parameters.

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