Burn prediction method based on CFD secondary development UDF custom model

Abstract

The invention relates to the technical field of human body protection, and discloses a burn prediction method based on a CFD secondary development UDF custom model, and the method comprises the steps: building a heat and mass coupling transfer model among the human skin of a rescue worker, a high-temperature environment and firefighter's uniform; creating a corresponding self-defined model in CFD for the heat and mass coupling transfer model so as to convert the heat and mass coupling transfer model from one dimension to three dimensions, and obtaining the heat and mass transfer condition of the rescue worker in the three-dimensional high-temperature environment; establishing a numerical dummy model according to the human body physiological structure of the rescue worker, and establishing a thermal reaction model for reflecting the thermal physiological reaction of the rescue worker in the high-temperature environment; a numerical dummy model, a thermal reaction model and a three-dimensional thermal mass coupling transfer model are coupled in CFD, and thermal mass transfer conditions and thermal physiological reactions of all human body parts of rescue workers in the three-dimensional high-temperature environment are obtained through simulation, so that the human body skin burn condition prediction effect of the rescue workers in the high-temperature environment is improved.

Description

Technical Field

[0001] The present invention relates to the field of human body protection technology, and in particular to a burn prediction method, device, equipment and medium based on a CFD secondary development UDF custom model. Background Art

[0002] When rescuers are fighting fires, the high temperature thermal radiation environment they are in may cause burns to their skin, or even threaten their lives. Therefore, real-time prediction of burns of rescuers in a high temperature thermal radiation environment is of great significance to improving rescue efficiency and protecting the lives of firefighters.

[0003] At present, burn prediction is generally carried out by simulating the thermal reaction and thermal damage of rescuers in a high-temperature thermal radiation environment. However, the thermal physiological reaction and thermal damage of the human body are greatly affected by environmental conditions and differences in human body parts. Even under the same environmental conditions, the skin temperature of different parts of the human body will show differences, resulting in poor prediction of burns of rescuers in a high-temperature thermal radiation environment. Summary of the invention

[0004] The purpose of the present invention is to provide a burn prediction method, device, equipment and medium based on CFD secondary development UDF custom model, which can improve the burn prediction effect of rescue personnel in a high-temperature thermal radiation environment.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a method for predicting human skin burns in a high temperature environment, comprising the following steps:

[0006] According to the heat transfer process between the rescuer's human skin, high temperature environment and fire suit in a high temperature environment and the influence of the mass transfer phenomenon of water in the fire suit on the heat transfer process, a heat and mass coupling transfer model between the rescuer's human skin, high temperature environment and fire suit is established;

[0007] According to the secondary development UDF function in computational fluid dynamics CFD, a corresponding custom model is created in CFD for the heat-mass coupling transfer model to convert the heat-mass coupling transfer model from a one-dimensional heat-mass coupling transfer model to a three-dimensional heat-mass coupling transfer model; wherein the three-dimensional heat-mass coupling transfer model is used to reflect the heat-mass transfer of rescuers in a three-dimensional high-temperature environment;

[0008] According to the physiological structure of the rescuer, a numerical dummy model is established;

[0009] Establish a thermal response model to reflect the thermal physiological response of rescuers in a high temperature environment;

[0010] The numerical dummy model, thermal response model and three-dimensional heat-mass coupling transfer model of the rescuer are coupled in CFD to simulate the heat-mass transfer and thermal physiological response of various parts of the rescuer's body in a three-dimensional high-temperature environment, so as to predict the skin burns of the rescuer in a high-temperature environment.

[0011] In some optional embodiments, the numerical dummy model, thermal response model and three-dimensional heat and mass coupling transfer model of the rescuer are coupled in CFD to simulate the heat and mass transfer and thermal physiological response of each body part of the rescuer in a three-dimensional high temperature environment, including:

[0012] In CFD, the following steps are iteratively run:

[0013] The skin temperature of each body part of the rescuer is obtained through the thermal reaction model as the temperature boundary value of the corresponding body part of the numerical dummy model, and the numerical dummy model is controlled to run according to the temperature boundary value through the three-dimensional heat-mass coupling transfer model to obtain the heat and mass transfer between each body part of the rescuer and the high temperature environment;

[0014] The heat and mass transfer between the rescuer's various body parts and the high temperature environment is fed back to the thermal response model to obtain the thermal physiological responses of different body parts of the rescuer.

[0015] In some optional embodiments, the heat transfer process between human skin-high temperature environment-fire suit includes heat conduction, heat radiation and heat convection, and the mass transfer phenomenon of water in the fire suit includes evaporation, condensation, adsorption, desorption, diffusion and convection.

[0016] In some optional embodiments, the heat transfer process complies with the following energy conservation equation:

[0017]

[0018] In the formula, ρ eff Indicates the effective density of each layer of fabric of the fire suit and the high temperature environment, kg / m 3 ;(c p ) eff Indicates the effective specific heat of each layer of fabric and the high temperature environment, J / (kg·K); k eff Indicates the effective thermal conductivity, W / (m·K); △h vap and △h abs Respectively represent the evaporation enthalpy per unit mass and the transformation enthalpy from bound water in the fabric to free liquid water, J / kg; m vs represents the mass conversion rate of water vapor to bound water, kg / (m3·s); q rad is the incident thermal radiation flux on the outer fabric surface, W / m 2 ; Kfab is the extinction coefficient of the fabric, m -1 .

[0019] In some optional embodiments, before coupling the numerical dummy model of the rescuer, the thermal reaction model and the three-dimensional heat and mass coupling transfer model, the following further comprises:

[0020] According to the physiological structure of the rescuer, the numerical dummy model of the rescuer is divided into multiple human body part models; wherein each human body part model includes a skin layer, a muscle layer, a fat layer and a core layer.

[0021] In some optional embodiments, the heat transfer process of the skin layer, muscle layer, fat layer and core layer of each human body part model conforms to the following heat balance equation:

[0022]

[0023] Wherein, i represents the number of human body part models, j represents the skin layer, muscle layer, fat layer or core layer of each human body part model, C represents the heat capacity of the human body part, T represents the temperature of each human body part model and each layer of each human body part model, t represents the time the human body is exposed to the environment, Q represents the heat generated by the human body, B represents the heat exchange of the human body's blood, D represents the conduction heat exchange between different layers in the same human body part, Res represents the respiratory heat transfer, Rad, Con and Eva represent the radiation, convection and evaporation heat transfer between the human body and the environment, respectively.

[0024] In some optional embodiments, the thermal physiological response of the rescuer includes: skin temperature, core temperature, sweat flow rate and blood flow.

[0025] The embodiment of the present invention further provides a burn prediction device based on a CFD secondary development UDF custom model, comprising:

[0026] The first model building module is used to establish a heat-mass coupling transfer model between the rescuer's human skin, high temperature environment, and firefighting suit according to the heat transfer process between the rescuer's human skin, high temperature environment, and firefighting suit in a high temperature environment and the influence of the mass transfer phenomenon of water in the firefighting suit on the heat transfer process;

[0027] The first model processing module is used to create a corresponding custom model for the heat-mass coupling transfer model in CFD according to the secondary development UDF function in computational fluid dynamics CFD, so as to convert the heat-mass coupling transfer model from a one-dimensional heat-mass coupling transfer model to a three-dimensional heat-mass coupling transfer model; wherein the three-dimensional heat-mass coupling transfer model is used to reflect the heat and mass transfer of rescue personnel in a three-dimensional high-temperature environment;

[0028] The second model building module is used to build a numerical dummy model according to the physiological structure of the rescuer;

[0029] The third model building module is used to build a thermal response model for reflecting the thermal physiological response of rescuers in a high temperature environment;

[0030] The human body burn prediction module is used to couple the numerical dummy model, thermal response model and three-dimensional heat and mass coupling transfer model of the rescuer in CFD, and simulate the heat and mass transfer and thermal physiological response of each body part of the rescuer in a three-dimensional high-temperature environment, so as to predict the human skin burns of the rescuer in a high-temperature environment.

[0031] An embodiment of the present invention also provides a computer device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the above-mentioned prediction of human skin burns in a high temperature environment.

[0032] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned prediction of human skin burns in a high temperature environment.

[0033] The burn prediction method based on the CFD secondary development UDF custom model provided by the present invention has at least the following beneficial effects:

[0034] The present invention not only takes into account the thermal physiological reactions of the rescue personnel's bodies in a high temperature environment through the established thermal reaction model, but also takes into account the heat transfer process between the rescue personnel's human skin-high temperature environment-fire fighting suits in a high temperature environment, as well as the influence of the mass transfer phenomenon of water in the fire fighting suits on the above heat transfer process. Based on this, a heat-mass coupling transfer model between the rescue personnel's human skin-high temperature environment-fire fighting suits is established, and it is coupled with a numerical dummy model established according to the rescue personnel's human physiological structure and a thermal reaction model used to reflect the rescue personnel's thermal physiological reactions in a high temperature environment to predict human skin burns, with better prediction effect.

[0035] In addition, the present invention utilizes the secondary development UDF function in computational fluid dynamics (CFD) to create a corresponding custom model in CFD for the heat and mass coupling transfer model, thereby converting the heat and mass coupling transfer model from one dimension to three dimensions. When coupled with the numerical dummy model and the thermal response model, the heat and mass transfer and thermal physiological responses of various parts of the human body of the rescue personnel in a three-dimensional high-temperature environment can be effectively simulated, taking into account the differences in skin burns of different parts of the human body in a high-temperature environment, and further improving the prediction effect of human skin burns. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0037] Figure 1 It is a flowchart of a burn prediction method based on a CFD secondary development UDF custom model provided according to an embodiment of the present invention;

[0038] Figure 2 It is a schematic diagram of a system structure of burn prediction based on a CFD secondary development UDF custom model provided according to an embodiment of the present invention;

[0039] Figure 3 It is a schematic diagram of the output result of a coupling system of a CFD secondary development UDF custom model and a human body thermal response model provided according to an embodiment of the present invention;

[0040] Figure 4 It is a schematic diagram of coupling between a CFD secondary development UDF custom model and a human body thermal response model provided according to an embodiment of the present invention;

[0041] Figure 5 It is a schematic diagram of a burn prediction device based on a CFD secondary development UDF custom model provided according to an embodiment of the present invention;

[0042] Figure 6 It is a structural schematic diagram of a computer device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the embodiments of the present invention, many technical details are proposed in order to enable the reader to better understand the present invention. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present invention can be implemented. The division of the following embodiments is for the convenience of description and should not constitute any limitation on the specific implementation of the present invention. The various embodiments can be combined and referenced with each other without contradiction.

[0044] An embodiment of the present invention relates to a burn prediction method based on a CFD secondary development UDF custom model. The implementation details of the burn prediction based on the CFD secondary development UDF custom model of this embodiment are specifically described below. The following content is only the implementation details provided for the convenience of understanding and is not necessary for the implementation of this solution.

[0045] The specific process of the burn prediction method based on CFD secondary development UDF custom model in this embodiment can be as follows: Figure 1 As shown, including:

[0046] Step 101, based on the heat transfer process between the rescuer's human skin-high temperature environment-fire suit and the influence of the mass transfer phenomenon of water in the fire suit on the heat transfer process, a heat and mass coupling transfer model between the rescuer's human skin-high temperature environment-fire suit is established.

[0047] Specifically, the heat transfer process between human skin, high temperature environment and fire suit includes heat conduction, heat radiation and heat convection. When rescuers enter the fire rescue scene, they will inevitably be soaked by moisture from the inside or outside. The moisture in the fire suit (fabric) mainly absorbs or releases heat by evaporation, condensation, adsorption, desorption, diffusion and convection mass transfer, which will have a certain impact on the above heat transfer process. That is, the mass transfer phenomenon of moisture in the fire suit includes evaporation, condensation, adsorption, desorption, diffusion and convection. Combined with the above considerations, a heat and mass coupling transfer model between human skin, high temperature environment and fire suit can be established for rescuers in a high temperature environment.

[0048] In the specific implementation, the above heat conduction, heat radiation and heat convection belong to sensible heat transfer, and the phase change, adsorption and desorption of water in the fabric belong to latent heat change. Heat and mass transfer is one-dimensional, free liquid water does not exist on the skin surface or in the fabric layer; changes in the moisture content in the fabric will not cause volume expansion or contraction, the different phases in the fabric are always in a local thermodynamic equilibrium state, and the water vapor density is always uniform in a high temperature environment.

[0049] The heat transfer process of human skin-high temperature environment-fire suit system in a fire environment belongs to non-steady-state heat transfer. The thermal radiation emitted by the heat source during heat exposure only penetrates the outer fabric, and the heat is transferred one-dimensionally along the thickness direction of the fabric. According to the physical properties, the system can be divided into different layers and the energy conservation equation can be constructed for each layer. The initial and boundary conditions are set, and the solution process is implemented in MATLAB.

[0050] The energy conservation equation is as follows:

[0051]

[0052] In the formula, ρ eff Indicates the effective density of each layer of fabric of the fire suit and the high temperature environment, kg / m 3 ;(c p ) eff Indicates the effective specific heat of each layer of fabric and the high temperature environment, J / (kg·K); k effIndicates the effective thermal conductivity, W / (m·K); △h vap and △h abs Respectively represent the evaporation enthalpy per unit mass and the transformation enthalpy from bound water in the fabric to free liquid water, J / kg; m vs represents the mass conversion rate of water vapor to bound water, kg / (m3·s); q rad is the incident thermal radiation flux on the outer fabric surface, W / m 2 ; K fab is the extinction coefficient of the fabric, m -1 .

[0053] Step 102, based on the secondary development UDF function in computational fluid dynamics CFD, create a corresponding custom model in CFD for the heat-mass coupling transfer model to convert the heat-mass coupling transfer model from a one-dimensional heat-mass coupling transfer model to a three-dimensional heat-mass coupling transfer model; wherein the three-dimensional heat-mass coupling transfer model is used to reflect the heat-mass transfer of rescue personnel in a three-dimensional high-temperature environment.

[0054] Step 103, establishing a numerical dummy model according to the physiological structure of the rescuer.

[0055] Step 104: Establish a thermal response model for reflecting the thermal physiological response of rescuers in a high temperature environment.

[0056] Step 105, coupling the numerical dummy model, thermal response model and three-dimensional heat-mass coupling transfer model of the rescuer in CFD, simulating the heat-mass transfer and thermal physiological response of various parts of the rescuer's body in a three-dimensional high-temperature environment, so as to predict the skin burns of the rescuer in the high-temperature environment.

[0057] Specifically, in CFD, the following steps are iteratively run: the skin temperature of each body part of the rescuer is obtained through the thermal response model as the temperature boundary value of the corresponding body part of the numerical dummy model, and the numerical dummy model is controlled to run according to the temperature boundary value through the three-dimensional heat and mass coupling transfer model to obtain the heat and mass transfer between each body part of the rescuer and the high temperature environment; the heat and mass transfer between each body part of the rescuer and the high temperature environment is fed back to the thermal response model to obtain the thermal physiological response of different body parts of the rescuer, so as to predict the skin burns of the rescuer in the high temperature environment.

[0058] In the specific implementation, the heat-mass coupling transfer model of the rescuer is converted into C language code, and according to the secondary development (User-Defined Function, UDF) function in Computational Fluid Dynamics (CFD), a corresponding custom model is created for the heat-mass coupling transfer model in CFD. UDF is a mechanism for extending the functions of a database or data processing system, allowing users to write functions according to specific needs to perform specific calculations or logical operations. The thermal response model can obtain the skin temperature of different human body parts of the rescuer through preset parameters, and use it as the temperature boundary value of the corresponding human body part of the numerical dummy model. Then, the above preset parameters are controlled through the custom model, so that the numerical dummy model is controlled to operate according to the temperature boundary value to obtain the heat exchange amount between different human body parts of the rescuer and the high temperature environment, and the heat exchange amount between different human body parts of the rescuer and the high temperature environment is fed back to the thermal response model to obtain the thermal physiological response of different human body parts of the rescuer. By repeating the above process, the changes in the heat exchange amount and thermal physiological response between the human body and the high temperature environment at different times can be obtained.

[0059] The heat-mass coupling transfer model involving the heat-mass coupling transfer mechanism is a MATLAB code, which can be converted into an independent C language code through MatlabCoder, and then the CFD secondary development UDF function can be used to create a custom model. The numerical dummy model refers to the human body geometry model obtained by 3D laser scanning of the warm body dummy. It is divided into multiple parts using ICEM software according to the physiological structure of the human body. The divided numerical dummy is placed in a virtual climate chamber, and then the virtual climate chamber and the numerical dummy are meshed using ICEM software.

[0060] Among them, when obtaining the thermal physiological responses of rescuers, the thermal physiological responses include: skin temperature, core temperature, sweat flow rate and blood flow.

[0061] In one example, before coupling the numerical dummy model of the rescuer, the thermal response model, and the three-dimensional heat and mass coupling transfer model, the numerical dummy model of the rescuer is first divided into multiple human body part models according to the human physiological structure of the rescuer, for example, into 20 human body parts; wherein each human body part model includes a skin layer, a muscle layer, a fat layer, and a core layer. By constructing a thermal balance equation for each layer of each human body part, the heat and mass transfer between the human body and the environment can be quantitatively expressed.

[0062] At this point, the heat transfer process of each human body part model and the skin layer, muscle layer, fat layer and core layer of each human body part model conforms to the following heat balance equation:

[0063]

[0064] Wherein, i represents the number of human body part models, j represents the skin layer, muscle layer, fat layer or core layer of each human body part model, C represents the heat capacity of the human body part, T represents the temperature of each human body part model and each layer of each human body part model, t represents the time the human body is exposed to the environment, Q represents the heat generated by the human body, B represents the heat exchange of the human body's blood, D represents the conduction heat exchange between different layers in the same human body part, Res represents the respiratory heat transfer, Rad, Con and Eva represent the radiation, convection and evaporation heat transfer between the human body and the environment, respectively.

[0065] In this embodiment, not only the thermal physiological reaction of the rescuer's body in a high temperature environment is considered by the established thermal reaction model, but also the heat transfer process between the rescuer's human skin-high temperature environment-fire suit in a high temperature environment, and the influence of the mass transfer phenomenon of water in the fire suit on the above heat transfer process are considered. Based on this, a heat-mass coupling transfer model between the rescuer's human skin-high temperature environment-fire suit is established, and it is coupled with a numerical dummy model established according to the human physiological structure of the rescuer and a thermal reaction model used to reflect the thermal physiological reaction of the rescuer in a high temperature environment to predict the human skin burn condition, and the prediction effect is better. In addition, in this embodiment, the secondary development UDF function in computational fluid dynamics CFD is used to create a corresponding custom model in CFD for the heat-mass coupling transfer model, so as to convert the heat-mass coupling transfer model from one dimension to three dimensions. In this way, when coupled with the numerical dummy model and the thermal reaction model, the heat-mass transfer and thermal physiological reaction of each human body part of the rescuer in a three-dimensional high temperature environment can be effectively simulated, and the differences in the skin burn conditions of different human body parts in a high temperature environment are considered, and the prediction effect of human skin burns is further improved.

[0066] In one embodiment, the burn prediction method based on CFD secondary development UDF custom model of the present invention can be as follows: Figure 2 The system structure shown in the figure is realized, and the system structure is a coupling system of CFD secondary development UDF custom model and human thermal response model. At the same time, this embodiment also provides Figure 3 and Figure 4 , which respectively show the output results of the coupling system of the CFD secondary development UDF custom model and the human thermal response model and the process of the coupling system of the CFD secondary development UDF custom model and the human thermal response model.

[0067] Among them, the heat-mass coupling transfer mechanism includes a heat transfer model of the skin-microenvironment-fire suit system that considers thermal radiation, thermal convection, and thermal conduction, providing a basis for the establishment of a heat-mass coupling model; considering the effects of mass transfer phenomena such as phase change, adsorption, and desorption of moisture in fabrics on heat transfer and skin burns, a skin-microenvironment-fire suit heat-mass coupling transfer model is established. The UDF custom function converts the heat-moisture coupling transfer model into C language code, and uses the CFD secondary development UDF function to create a custom model. The CFD simulation coupling calculation system couples the numerical dummy and the human body thermal response model, embeds it into the fluid dynamics analysis CFD, and uses the custom model to control the model parameters or calculation process in the Fluent calculation process. The three-dimensional full-size thermal damage and thermal physiological prediction section outputs the results of heat exchange and thermal physiological response of various parts of the human body at different times through the CFD simulation coupling calculation system.

[0068] Since the CFD simulation coupling algorithm is a method for evaluating repeatable tests, it can flexibly set virtual environment conditions, overcoming the individual differences of human experiments and the dangers of extreme thermal radiation environment experiments. Therefore, this embodiment develops a CFD simulation coupling three-dimensional full-scale algorithm and a human thermal response model coupling system, which refines the skin temperature distribution of each part, and realizes more targeted prediction of skin burns in high temperature environments and real-time evaluation of human thermal physiological parameters.

[0069] In a specific example, assuming that the ambient temperature is 300K, the initial temperature of the multi-layer fabric of the fire suit and the high temperature environment is consistent with the ambient temperature, and the initial temperature of the skin layer increases linearly from the epidermis to the subcutaneous tissue (305.65-306.65K), the model is solved using MATLAB software, the program language is converted to C language through Matlab coder, and the custom model is created using the UDF function of CFD secondary development. The geometric shape of the warm body manikin is obtained through 3D scanning technology, coupled with the human body thermal response model, and divided into 20 parts according to the physiological structure of the human body using ICEM software. The divided model is placed in a virtual climate chamber, and the virtual climate chamber and the manikin coupling model are meshed. The model algorithm in the Fluent calculation process is controlled using UDF, and the boundary condition temperature and turbulence intensity are set to 5%. The simulation is performed by ANSYS software to obtain skin temperature, core temperature, sweat flow rate, blood flow, etc. The iterative calculation process is repeated to obtain the changes in human thermal damage and thermal physiological response at different times, and the overall and local skin burn time of the human body is judged in combination with the Stoll second-degree burn criterion. The results are as follows: as the exposure time increases, the skin temperature increases, the temperature gradually exceeds 44°C, and the head, upper arms, calves, feet, thighs, buttocks, chest, forearms, back and hands begin to show second-degree burns. The core temperature shows a small upward or downward trend with the ambient temperature, and the measured value is 37.38°C at the end of the simulation.

[0070] It is understandable that the working conditions such as “setting the ambient temperature to 300K”, “setting the boundary condition temperature”, and “turbulence intensity 5%” are only for the convenience of describing the present invention and simplifying the description. The specific experimental working conditions need to be set according to the actual fire fighting scene.

[0071] The step division of the various methods above is only for clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the protection scope of the present invention. Adding insignificant modifications or introducing insignificant designs to the algorithm or process without changing the core design of the algorithm and process are all within the protection scope of the invention.

[0072] Another embodiment of the present invention relates to a burn prediction device based on a CFD secondary development UDF custom model. The implementation details of the burn prediction device based on the CFD secondary development UDF custom model of this embodiment are specifically described below. The following content is only for the convenience of understanding the implementation details provided, and is not necessary for the implementation of this solution. The schematic diagram of the burn prediction device based on the CFD secondary development UDF custom model of this embodiment can be as follows: Figure 5 As shown, it includes: a first model building module 501, a first model processing module 502, a second model building module 503, a third model building module 504 and a human body burn prediction module 505.

[0073] Specifically, the first model building module 501 is used to establish a heat and mass coupling transfer model between the rescue personnel's human skin-high temperature environment-fire fighting suits according to the heat transfer process between the rescue personnel's human skin-high temperature environment-fire fighting suits in a high temperature environment and the influence of the mass transfer phenomenon of water in the fire fighting suits on the heat transfer process.

[0074] The first model processing module 502 is used to create a corresponding custom model in CFD for the heat-mass coupling transfer model based on the secondary development UDF function in computational fluid dynamics CFD, so as to convert the heat-mass coupling transfer model from a one-dimensional heat-mass coupling transfer model to a three-dimensional heat-mass coupling transfer model; wherein the three-dimensional heat-mass coupling transfer model is used to reflect the heat-mass transfer of rescue personnel in a three-dimensional high-temperature environment.

[0075] The second model building module 503 is used to build a numerical dummy model according to the physiological structure of the rescuer.

[0076] The third model building module 504 is used to build a thermal response model for reflecting the thermal physiological response of rescuers in a high temperature environment.

[0077] The human body burn prediction module 505 is used to couple the numerical dummy model, thermal response model and three-dimensional heat-mass coupling transfer model of the rescuer in CFD, and simulate the heat-mass transfer and thermal physiological response of each body part of the rescuer in a three-dimensional high-temperature environment, so as to predict the human skin burn condition of the rescuer in the high-temperature environment.

[0078] It is not difficult to find that this embodiment is a device embodiment corresponding to the above method embodiment, and this embodiment can be implemented in conjunction with the above method embodiment. The relevant technical details and technical effects mentioned in the above embodiment are still valid in this embodiment, and in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the above embodiment.

[0079] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, this embodiment does not introduce units that are not closely related to solving the technical problem proposed by the present invention, but this does not mean that there are no other units in this embodiment.

[0080] Another embodiment of the present invention relates to a computer device, such as Figure 6 As shown, it includes: at least one processor 601; and a memory 602 that is communicatively connected to the at least one processor 601; wherein the memory 602 stores instructions that can be executed by the at least one processor 601, and the instructions are executed by the at least one processor 601 so that the at least one processor 601 can execute the burn prediction method based on the CFD secondary development UDF custom model in the above-mentioned embodiments.

[0081] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0082] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0083] Another embodiment of the present invention relates to a computer-readable storage medium storing a computer program, which implements the above method embodiment when executed by a processor.

[0084] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions for a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), disk or optical disk and other media that can store program codes.

[0085] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present invention, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present invention.

Claims

1. A burn prediction method based on CFD secondary development UDF custom model, characterized in that: include: According to the heat transfer process between the rescuer's human skin, high temperature environment and fire suit in a high temperature environment and the influence of the mass transfer phenomenon of water in the fire suit on the heat transfer process, a heat and mass coupling transfer model between the rescuer's human skin, high temperature environment and fire suit is established; According to the secondary development UDF function in computational fluid dynamics CFD, a corresponding custom model is created in CFD for the heat-mass coupling transfer model to convert the heat-mass coupling transfer model from a one-dimensional heat-mass coupling transfer model to a three-dimensional heat-mass coupling transfer model; wherein the three-dimensional heat-mass coupling transfer model is used to reflect the heat-mass transfer of rescuers in a three-dimensional high-temperature environment; According to the physiological structure of the rescuer, a numerical dummy model is established; Establish a thermal response model to reflect the thermal physiological response of rescuers in a high temperature environment; The numerical dummy model, thermal response model and three-dimensional heat-mass coupling transfer model of the rescuer are coupled in CFD to simulate the heat-mass transfer and thermal physiological response of various parts of the rescuer's body in a three-dimensional high-temperature environment, so as to predict the skin burns of the rescuer in a high-temperature environment.

2. The burn prediction method based on CFD secondary development UDF custom model according to claim 1 is characterized in that: The numerical dummy model, thermal response model and three-dimensional heat-mass coupling transfer model of the rescuer are coupled in CFD to simulate the heat-mass transfer and thermal physiological response of each body part of the rescuer in a three-dimensional high-temperature environment, including: In CFD, the following steps are iteratively run: The skin temperature of each body part of the rescuer is obtained through the thermal reaction model as the temperature boundary value of the corresponding body part of the numerical dummy model, and the numerical dummy model is controlled to run according to the temperature boundary value through the three-dimensional heat-mass coupling transfer model to obtain the heat and mass transfer between each body part of the rescuer and the high temperature environment; The heat and mass transfer between the rescuer's various body parts and the high temperature environment is fed back to the thermal response model to obtain the thermal physiological responses of different body parts of the rescuer.

3. The burn prediction method based on CFD secondary development UDF custom model according to claim 1 is characterized in that: The heat transfer process between human skin, high temperature environment and fire-fighting suit includes heat conduction, heat radiation and heat convection, and the mass transfer phenomenon of water in the fire-fighting suit includes evaporation, condensation, adsorption, desorption, diffusion and convection.

4. The burn prediction method based on CFD secondary development UDF custom model according to claim 1 is characterized in that: The heat transfer process complies with the following energy conservation equation: In the formula, ρ eff Indicates the effective density of each layer of fabric of the fire suit and the high temperature environment, kg / m 3 ;(c p ) eff Indicates the effective specific heat of each layer of fabric and the high temperature environment, J / (kg·K); k eff Indicates the effective thermal conductivity, W / (m·K); △h vap and △h abs Respectively represent the evaporation enthalpy per unit mass and the transformation enthalpy from bound water in the fabric to free liquid water, J / kg; m vs represents the mass conversion rate of water vapor to bound water, kg / (m3·s); q rad is the incident thermal radiation flux on the outer fabric surface, W / m 2 ; K fab is the extinction coefficient of the fabric, m -1 .

5. The burn prediction method based on CFD secondary development UDF custom model according to claim 1 is characterized in that: Before coupling the numerical dummy model of the rescuer, the thermal reaction model and the three-dimensional heat-mass coupling transfer model, it also includes: According to the physiological structure of the rescuer, the numerical dummy model of the rescuer is divided into multiple human body part models; wherein each human body part model includes a skin layer, a muscle layer, a fat layer and a core layer.

6. The burn prediction method based on CFD secondary development UDF custom model according to claim 5 is characterized in that: The heat transfer process of the human body part models and the skin layer, muscle layer, fat layer and core layer of each human body part model conforms to the following heat balance equation: Wherein, i represents the number of human body part models, j represents the skin layer, muscle layer, fat layer or core layer of each human body part model, C represents the heat capacity of the human body part, T represents the temperature of each human body part model and each layer of each human body part model, t represents the time the human body is exposed to the environment, Q represents the heat generated by the human body, B represents the heat exchange of the human body's blood, D represents the conduction heat exchange between different layers in the same human body part, Res represents the respiratory heat transfer, Rad, Con and Eva represent the radiation, convection and evaporation heat transfer between the human body and the environment, respectively.

7. The burn prediction method based on CFD secondary development UDF custom model according to any one of claims 1 to 6, characterized in that: The thermal physiological responses of the rescuer include: skin temperature, core temperature, sweat flow rate and blood flow.

8. A burn prediction device based on CFD secondary development UDF custom model, characterized in that: include: The first model building module is used to establish a heat-mass coupling transfer model between the rescuer's human skin, high temperature environment, and firefighting suit according to the heat transfer process between the rescuer's human skin, high temperature environment, and firefighting suit in a high temperature environment and the influence of the mass transfer phenomenon of water in the firefighting suit on the heat transfer process; The first model processing module is used to create a corresponding custom model for the heat-mass coupling transfer model in CFD according to the secondary development UDF function in computational fluid dynamics CFD, so as to convert the heat-mass coupling transfer model from a one-dimensional heat-mass coupling transfer model to a three-dimensional heat-mass coupling transfer model; wherein the three-dimensional heat-mass coupling transfer model is used to reflect the heat and mass transfer of rescue personnel in a three-dimensional high-temperature environment; The second model building module is used to build a numerical dummy model according to the physiological structure of the rescuer; The third model building module is used to build a thermal response model for reflecting the thermal physiological response of rescuers in a high temperature environment; The human body burn prediction module is used to couple the numerical dummy model, thermal response model and three-dimensional heat and mass coupling transfer model of the rescuer in CFD, and simulate the heat and mass transfer and thermal physiological response of each body part of the rescuer in a three-dimensional high-temperature environment, so as to predict the human skin burns of the rescuer in a high-temperature environment.

9. A computer device, characterized in that: include: at least one processor; And, a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the prediction of human skin burns in a high temperature environment as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the prediction of human skin burns in a high temperature environment according to any one of claims 1 to 7 is achieved.

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