Simulation method and device for gas discharge heat effect, electronic equipment and storage medium

Abstract

The invention provides a simulation method and device for a gas discharge heat effect, electronic equipment and a storage medium. The simulation method for the gas discharge heat effect comprises the following steps: firstly, calculating gas heat source time and space distribution of gas discharge plasma in a preset discharge period based on a pre-constructed heat production calculation model; based on gas heat source time and space distribution, calculating to obtain space distribution of an average heat source; and finally, inputting the spatial distribution of the average heat source into a pre-constructed heat transfer calculation model, and calculating to obtain an evolution process and distribution data of the temperature. And the heat production calculation model calculates gas heat source time and space distribution of gas discharge plasma in a single discharge period in a nanosecond time scale. The heat transfer calculation model does not consider the discharge plasma process any more, the evolution process and distribution data of the temperature are obtained through calculation according to the minute-level time scale, a large amount of calculation related to the discharge plasma process is omitted, and the calculation amount and the calculation time during calculation can be greatly shortened.

Description

Technical Field

[0001] The present application relates to the field of simulation computing technology, and in particular to a simulation method, device, electronic device and storage medium for thermal effect of gas discharge. Background Art

[0002] The thermal effect of pulsed gas discharge is currently considered to be the key to achieving gas discharge plasma deicing. From a macroscopic perspective, the thermal effect is caused by the fact that plasma has a certain resistance value, so when current flows through it, a thermal effect will be generated; from a microscopic perspective, the essence of the thermal effect of gas discharge is the collision and energy transfer between charged particles and neutral particles.

[0003] In the prior art, the simulation calculation of the thermal effect of pulsed gas discharge mostly only calculates the heat transfer process of the fluid on the time scale of plasma evolution to observe the changes in its temperature field and pressure field, etc. There is a big difference in the simulation time scale between the two, and the equations to be solved when calculating the plasma module are very complex. If the plasma module and the fluid heat transfer module are calculated at the same time on the time scale required by the heat transfer module, it not only requires high computer performance, but also consumes a lot of calculation and a long calculation time. Summary of the invention

[0004] In view of this, the present application provides a method, device, electronic device and storage medium for simulating the thermal effect of gas discharge to solve the above problems.

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] The first aspect of the present application discloses a method for simulating the thermal effect of gas discharge, comprising:

[0007] Based on a pre-constructed heat generation calculation model, the time and spatial distribution of the gas heat source of the gas discharge plasma in a preset discharge period is calculated; wherein the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; the calculation time scale of the heat generation calculation model is a nanosecond time scale;

[0008] Based on the time and space distribution of the gas heat source, calculating the spatial distribution of the average heat source;

[0009] The spatial distribution of the average heat source is input into a pre-constructed heat transfer calculation model to calculate the temperature evolution process and distribution data; wherein the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute-level time scale.

[0010] Optionally, in the above method, the process of constructing the heat generation calculation model includes:

[0011] Based on the particle continuity equation, the electron energy conservation equation and the Poisson equation, the discharge plasma field sub-model is constructed;

[0012] Constructing the first laminar submodel based on the fluid motion equation;

[0013] Constructing the first fluid heat transfer sub-model based on the fluid heat transfer equation;

[0014] The electric plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model are coupled to obtain the heat generation calculation model.

[0015] Optionally, in the above method, the step of summing up the time integral of the time and spatial distribution of the gas heat source and then averaging it to obtain the spatial distribution of the average heat source includes:

[0016] The time integral of the time and space distribution of the gas heat source is summed and averaged to obtain the space distribution of the average heat source.

[0017] Optionally, in the above method, the process of constructing the heat transfer calculation model includes:

[0018] Constructing the second laminar submodel based on the fluid motion equation;

[0019] Constructing the second fluid heat transfer sub-model based on the fluid heat transfer equation;

[0020] The second laminar flow sub-model and the second fluid heat transfer sub-model are coupled to obtain the heat generation calculation model.

[0021] The second aspect of the present application discloses a simulation device for the thermal effect of gas discharge, comprising:

[0022] A first calculation unit is used to calculate the time and space distribution of the gas heat source of the gas discharge plasma in a preset discharge period based on a pre-constructed heat generation calculation model; wherein the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; and the calculation time scale of the heat generation calculation model is a nanosecond time scale;

[0023] A second calculation unit, configured to calculate the spatial distribution of the average heat source based on the temporal and spatial distribution of the gas heat source;

[0024] The third calculation unit is used to input the spatial distribution of the average heat source into a pre-constructed heat transfer calculation model to calculate the temperature evolution process and distribution data; wherein the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute-level time scale.

[0025] Optionally, in the above device, the first computing unit includes:

[0026] A first construction subunit is used to construct the discharge plasma field submodel based on the particle continuity equation, the electron energy conservation equation and the Poisson equation;

[0027] A second construction subunit, configured to construct the first laminar flow submodel based on a fluid motion equation;

[0028] A third construction sub-unit is used to construct the first fluid heat transfer sub-model based on the fluid heat transfer equation;

[0029] The first coupling sub-unit is used to couple the electric plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model to obtain the heat generation calculation model.

[0030] Optionally, in the above device, the second computing unit includes:

[0031] The calculation subunit is used to sum and average the time integral of the time and spatial distribution of the gas heat source to obtain the spatial distribution of the average heat source.

[0032] Optionally, in the above device, the third computing unit includes:

[0033] A fourth construction sub-unit, used for constructing the second laminar flow sub-model based on the fluid motion equation;

[0034] A fifth construction sub-unit, used for constructing the second fluid heat transfer sub-model based on the fluid heat transfer equation;

[0035] The second coupling subunit is used to couple the second laminar flow sub-model and the second fluid heat transfer sub-model to obtain the heat generation calculation model.

[0036] The third aspect of the present application discloses an electronic device, comprising:

[0037] one or more processors;

[0038] a storage device having one or more programs stored thereon;

[0039] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of the first aspects of the present application.

[0040] A fourth aspect of the present application discloses a computer storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method described in any one of the first aspects of the present application is implemented.

[0041] It can be seen from the above technical scheme that in a simulation method of the thermal effect of gas discharge provided by the present application, firstly, based on a pre-constructed heat generation calculation model, the time and spatial distribution of the gas heat source of the gas discharge plasma in a preset discharge cycle are calculated; wherein, the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; the calculation time scale of the heat generation calculation model is a nanosecond time scale. Then, based on the time and spatial distribution of the gas heat source, the spatial distribution of the average heat source is calculated. Finally, the spatial distribution of the average heat source is input into the pre-constructed heat transfer calculation model to calculate the evolution process and distribution data of the temperature; wherein, the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute time scale. It can be seen that, using the method of the present application, the heat generation calculation model first calculates the time and spatial distribution of the gas heat source of the gas discharge plasma in a single discharge cycle in a nanosecond time scale. The heat transfer calculation model no longer considers the discharge plasma process, and obtains the temperature evolution process and distribution data on a time scale of minutes, eliminating a large amount of calculation related to the discharge plasma process and greatly reducing the amount and time of calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 A flow chart of a method for simulating thermal effects of gas discharge disclosed in an embodiment of the present application;

[0044] Figure 2 This is a flowchart of an implementation of a process for constructing a heat generation calculation model in step S101 disclosed in another embodiment of the present application;

[0045] Figure 3 A schematic diagram of a gas discharge thermal effect simulation device disclosed in another embodiment of the present application;

[0046] Figure 4 A schematic diagram of an electronic device disclosed in another embodiment of the present application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] In this application, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0049] Furthermore, in this document, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0050] As can be seen from the background technology, in the prior art, the simulation calculation of the thermal effect of pulsed gas discharge is mostly only to calculate the heat transfer process of the fluid on the time scale of plasma evolution to observe the changes of its temperature field and pressure field, etc. There is a big difference in the time scale of the simulation between the two, and the equations to be solved when calculating the plasma module are very complex. If the plasma module and the fluid heat transfer module are calculated at the same time on the time scale required by the heat transfer module, it not only requires high computer performance, but also consumes a lot of calculation and a long calculation time.

[0051] In view of this, the present application provides a method, device, electronic device and storage medium for simulating the thermal effect of gas discharge to solve the above problems.

[0052] The present application embodiment provides a method for simulating the thermal effect of gas discharge, such as Figure 1 As shown, specifically including:

[0053] S101. Based on a pre-constructed heat generation calculation model, calculate the time and spatial distribution of the gas heat source of the gas discharge plasma within a preset discharge period; wherein the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; the calculation time scale of the heat generation calculation model is a nanosecond time scale.

[0054] It should be noted that the heat generation calculation model couples the discharge plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model. By solving the discharge plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model at the nanosecond time scale, the time and spatial distribution of the gas heat source within a preset discharge cycle can be obtained. Among them, the preset discharge cycle can be set according to actual conditions. The time required to solve the heat generation calculation model is about within tens of hours.

[0055] Optionally, in another embodiment of the present application, an implementation method of the process of constructing the heat generation calculation model in the above step 101 is as follows: Figure 2 As shown, it may include:

[0056] S201. Construct the discharge plasma field sub-model based on the particle continuity equation, the electron energy conservation equation and the Poisson equation.

[0057] Among them, the particle continuity equation is used to calculate the variation law of particle number density in plasma; the electron energy conservation equation is used to calculate the variation data of electron energy; and the Poisson equation is used to calculate the potential distribution of plasma.

[0058] It should be noted that the particle continuity equation is as follows:

[0059] (1)

[0060] (2)

[0061] Where t is the time, represents the number density of electrons, ions, and neutral particles, is the transport flux of charged and neutral particles, is the mobility of electrons and ions, E is the electric field vector, is the diffusion coefficient of charged particles and neutral particles, u is the velocity vector of neutral particles, is the chemical source term, indicating that the change in the amount of particles obtained through production and consumption reactions is related to the reaction rate.

[0062] The electron energy conservation equation is as follows:

[0063] (3)

[0064] (4)

[0065] is the electron energy density, is the electron energy flux, S en is the energy loss or gain caused by inelastic collision, Q is the external heat source, and Qgen is a generalized heat source, i.e., the heat source generated by gas discharge plasma, q is the heat transfer density, μ ε is the electron energy mobility, D ε Is the electron energy diffusion rate. Electron energy is an important parameter that affects the discharge development process.

[0066] Poisson's equation is as follows:

[0067] (5)

[0068] Where φ is the space potential, q e is the electron charge, ε is the gas dielectric constant, n i is the positive ion density.

[0069] S202. Construct the first laminar flow submodel based on the fluid motion equation.

[0070] It should be noted that the equation of fluid motion is as follows:

[0071] (6)

[0072] (7)

[0073] (8)

[0074] Where u is the fluid velocity, p is the fluid pressure, ρ is the fluid density, μ is the fluid dynamic viscosity, F is the external force acting on the fluid, I is the identity matrix, and K is the viscous stress tensor.

[0075] S203. Construct the first fluid heat transfer sub-model based on the fluid heat transfer equation.

[0076] It should be noted that the main equations to be solved for fluid heat transfer are as follows:

[0077] (9)

[0078] (10)

[0079] Where k is the thermal conductivity, Cp is the constant pressure heat capacity, T is the temperature, Q is the heat source (i.e., the gas heat source), dz is the thickness, q0 is the inward heat flux, and Q p is the pressure work, Q vd is viscous dissipation.

[0080] S204, coupling the electric plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model to obtain the heat generation calculation model.

[0081] It should be noted that the electric plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model are coupled to obtain the heat generation calculation model.

[0082] S102. Based on the time and space distribution of the gas heat source, calculate and obtain the spatial distribution of the average heat source.

[0083] It should be noted that the time and spatial distribution of the gas heat source calculated by the heat generation calculation model is converted into the spatial distribution of the average heat source (unit: W / m3).

[0084] Optionally, an implementation of the above S102 may include:

[0085] The time integral of the time and space distribution of the gas heat source is summed and then averaged to obtain the space distribution of the average heat source.

[0086] It should be noted that by solving the above heat generation calculation model in the nanosecond time scale, the time and spatial distribution of the gas heat source in a discharge cycle can be obtained. Then, the spatial distribution of the average heat source in a cycle can be obtained by summing the time integral and averaging it.

[0087] S103. Input the spatial distribution of the average heat source into a pre-constructed heat transfer calculation model to calculate the temperature evolution process and distribution data; wherein the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; and the calculation time scale of the heat transfer calculation model is a minute-level time scale.

[0088] It should be noted that the heat transfer calculation model only considers laminar flow and fluid heat transfer field. The simulation model does not need to consider the above calculation formulas (1)-(5), but only needs to consider calculation formulas (6)-(10). The spatial distribution of the average heat source in one cycle obtained by the above calculation is used as the heat source input of the fluid heat transfer field (once for each discharge cycle) into the model, and the evolution and distribution of the subsequent temperature field in a larger calculation domain are calculated on a time scale of minutes. This model is relatively simple to calculate and only takes about tens of minutes.

[0089] Optionally, in another embodiment of the present application, an implementation of the process of constructing the above heat transfer calculation model may include:

[0090] The second laminar flow model is constructed based on the fluid motion equation.

[0091] The second fluid heat transfer sub-model is constructed based on the fluid heat transfer equation.

[0092] The second laminar flow sub-model and the second fluid heat transfer sub-model are coupled to obtain the heat generation calculation model.

[0093] It should be noted that the construction process of the heat transfer calculation model can be referred to the construction process of the heat generation calculation model in the above embodiment, which will not be described in detail here.

[0094] In a simulation method for the thermal effect of gas discharge provided in an embodiment of the present application, firstly, based on a pre-constructed heat generation calculation model, the time and spatial distribution of the gas heat source of the gas discharge plasma in a preset discharge cycle are calculated; wherein, the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; the calculation time scale of the heat generation calculation model is a nanosecond time scale. Then, based on the time and spatial distribution of the gas heat source, the spatial distribution of the average heat source is calculated. Finally, the spatial distribution of the average heat source is input into the pre-constructed heat transfer calculation model to calculate the evolution process and distribution data of the temperature; wherein, the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute time scale. It can be seen that, using the method of the present application, the heat generation calculation model first calculates the time and spatial distribution of the gas heat source of the gas discharge plasma in a single discharge cycle in a nanosecond time scale. The heat transfer calculation model no longer considers the discharge plasma process, and obtains the temperature evolution process and distribution data on a time scale of minutes, eliminating a large amount of calculation related to the discharge plasma process and greatly reducing the amount and time of calculation.

[0095] Another embodiment of the present application also provides a simulation device for the thermal effect of gas discharge, such as Figure 3 As shown, specifically including:

[0096] The first calculation unit 301 is used to calculate the time and space distribution of the gas heat source of the gas discharge plasma within a preset discharge period based on a pre-constructed heat generation calculation model; wherein the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; and the calculation time scale of the heat generation calculation model is a nanosecond time scale.

[0097] The second calculation unit 302 is used to calculate the spatial distribution of the average heat source based on the time and spatial distribution of the gas heat source.

[0098] The third calculation unit 303 is used to input the spatial distribution of the average heat source into a pre-constructed heat transfer calculation model to calculate the temperature evolution process and distribution data; wherein the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute-level time scale.

[0099] In this embodiment, the specific execution process of the first calculation unit 301, the second calculation unit 302 and the third calculation unit 303 can be referred to in the corresponding Figure 1 The content of the method embodiment will not be repeated here.

[0100] In a simulation device for the thermal effect of gas discharge provided in an embodiment of the present application, first, the first calculation unit 301 calculates the time and spatial distribution of the gas heat source of the gas discharge plasma in a preset discharge cycle based on a pre-constructed heat generation calculation model; wherein the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; the calculation time scale of the heat generation calculation model is a nanosecond time scale. Then the second calculation unit 302 calculates the spatial distribution of the average heat source based on the time and spatial distribution of the gas heat source. Finally, the third calculation unit 303 inputs the spatial distribution of the average heat source into the pre-constructed heat transfer calculation model to calculate the evolution process and distribution data of the temperature; wherein the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute time scale. It can be seen that, using the method of the present application, the heat generation calculation model first calculates the time and spatial distribution of the gas heat source of the gas discharge plasma in a single discharge cycle in a nanosecond time scale. The heat transfer calculation model no longer considers the discharge plasma process, and obtains the temperature evolution process and distribution data on a time scale of minutes, eliminating a large amount of calculation related to the discharge plasma process and greatly reducing the amount and time of calculation.

[0101] Optionally, in another embodiment of the present application, an implementation of the first calculation unit 301 may include:

[0102] The first construction subunit is used to construct the discharge plasma field submodel based on the particle continuity equation, the electron energy conservation equation and the Poisson equation.

[0103] The second construction subunit is used to construct the first laminar flow sub-model based on the fluid motion equation.

[0104] The third construction sub-unit is used to construct the first fluid heat transfer sub-model based on the fluid heat transfer equation.

[0105] The first coupling sub-unit is used to couple the electric plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model to obtain the heat generation calculation model.

[0106] In this embodiment, the specific execution process of the first construction subunit, the second construction subunit, the third construction subunit and the first coupling subunit can be referred to in the corresponding Figure 2 The content of the method embodiment will not be repeated here.

[0107] Optionally, in another embodiment of the present application, an implementation of the second calculation unit 302 may include:

[0108] The calculation subunit is used to sum and average the time integral of the time and spatial distribution of the gas heat source to obtain the spatial distribution of the average heat source.

[0109] In this embodiment, the specific execution process of the calculation subunit can refer to the corresponding method embodiment content mentioned above, which will not be repeated here.

[0110] Optionally, in another embodiment of the present application, an implementation of the third calculation unit 303 may include:

[0111] The fourth construction subunit is used to construct the second laminar flow submodel based on the fluid motion equation.

[0112] The fifth construction sub-unit is used to construct the second fluid heat transfer sub-model based on the fluid heat transfer equation.

[0113] The second coupling subunit is used to couple the second laminar flow sub-model and the second fluid heat transfer sub-model to obtain the heat generation calculation model.

[0114] In this embodiment, the specific execution process of the fourth construction subunit, the fifth construction subunit and the second coupling subunit can refer to the corresponding method embodiment described above, which will not be repeated here.

[0115] Another embodiment of the application also provides an electronic device, such as Figure 4 As shown, specifically including:

[0116] One or more processors 401 .

[0117] The storage device 402 stores one or more programs.

[0118] When one or more programs are executed by one or more processors 401 , the one or more processors 401 implement any one of the methods in the above embodiments.

[0119] Another embodiment of the present application further provides a computer storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, any one of the methods in the above embodiments is implemented.

[0120] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0121] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0122] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for simulating thermal effect of gas discharge, characterized in that: include: Based on a pre-constructed heat generation calculation model, the time and spatial distribution of the gas heat source of the gas discharge plasma in a preset discharge period is calculated; wherein the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; the calculation time scale of the heat generation calculation model is a nanosecond time scale; Based on the time and space distribution of the gas heat source, calculating the spatial distribution of the average heat source; The spatial distribution of the average heat source is input into a pre-constructed heat transfer calculation model to calculate the temperature evolution process and distribution data; wherein the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute-level time scale.

2. The method according to claim 1, characterized in that The construction process of the heat generation calculation model includes: Based on the particle continuity equation, the electron energy conservation equation and the Poisson equation, the discharge plasma field sub-model is constructed; Constructing the first laminar submodel based on the fluid motion equation; Constructing the first fluid heat transfer sub-model based on the fluid heat transfer equation; The electric plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model are coupled to obtain the heat generation calculation model.

3. The method according to claim 1, characterized in that The step of summing up the time integral of the gas heat source time and spatial distribution and then averaging it to obtain the spatial distribution of the average heat source includes: The time integral of the time and space distribution of the gas heat source is summed and then averaged to obtain the space distribution of the average heat source.

4. The method according to claim 1, characterized in that: The construction process of the heat transfer calculation model includes: Constructing the second laminar submodel based on the fluid motion equation; Constructing the second fluid heat transfer sub-model based on the fluid heat transfer equation; The second laminar flow sub-model and the second fluid heat transfer sub-model are coupled to obtain the heat generation calculation model.

5. A simulation device for gas discharge thermal effect, characterized in that: include: A first calculation unit is used to calculate the time and space distribution of the gas heat source of the gas discharge plasma in a preset discharge period based on a pre-constructed heat generation calculation model; wherein the heat generation calculation model includes a discharge plasma field sub-model, a first laminar flow sub-model and a first fluid heat transfer sub-model; and the calculation time scale of the heat generation calculation model is a nanosecond time scale; A second calculation unit, configured to calculate the spatial distribution of the average heat source based on the temporal and spatial distribution of the gas heat source; The third calculation unit is used to input the spatial distribution of the average heat source into a pre-constructed heat transfer calculation model to calculate the temperature evolution process and distribution data; wherein the heat transfer calculation model includes a second laminar flow sub-model and a second fluid heat transfer sub-model; the calculation time scale of the heat transfer calculation model is a minute-level time scale.

6. The device according to claim 5, characterized in that The first computing unit comprises: A first construction subunit is used to construct the discharge plasma field submodel based on the particle continuity equation, the electron energy conservation equation and the Poisson equation; A second construction subunit, configured to construct the first laminar flow submodel based on a fluid motion equation; A third construction sub-unit is used to construct the first fluid heat transfer sub-model based on the fluid heat transfer equation; The first coupling sub-unit is used to couple the electric plasma field sub-model, the first laminar flow sub-model and the first fluid heat transfer sub-model to obtain the heat generation calculation model.

7. The device according to claim 5, characterized in that The second computing unit comprises: The calculation subunit is used to sum and average the time integral of the time and spatial distribution of the gas heat source to obtain the spatial distribution of the average heat source.

8. The device according to claim 5, characterized in that The third computing unit comprises: A fourth construction sub-unit, used for constructing the second laminar flow sub-model based on the fluid motion equation; A fifth construction sub-unit, used for constructing the second fluid heat transfer sub-model based on the fluid heat transfer equation; The second coupling subunit is used to couple the second laminar flow sub-model and the second fluid heat transfer sub-model to obtain the heat generation calculation model.

9. An electronic device, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the method according to any one of claims 1 to 4.

10. A computer storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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