A feedback control simulation method for gas elimination equipment based on Fluent software

Abstract

The present invention discloses a method for simulating feedback control of a gas elimination device based on Fluent software, comprising: S1, selecting a grid type and dividing the grid according to an actual gas motion spatial scene, setting boundary conditions including sinks, and outputting a grid model file; S2, constructing a custom function based on the feedback control strategy of the elimination device, which is used for switching control of the sink opening and closing states and for controlling the end of the simulation process in the Fluent software simulation process; S3, importing the grid model file and the custom function into the Fluent software; S4, setting a calculation model of the transient elimination process and completing the solver initialization settings; S5, performing iterative calculation simulation using the solver to obtain simulation results under a transient time series. The present invention constructs a custom function for controlling the switching of the sink opening and closing states and the end of the simulation process in the simulation process based on the feedback control strategy of the elimination device and imports it into the Fluent software, thereby realizing the simulation of gas motion in a spatial scene equipped with an elimination device.

Description

Technical Field

[0001] The present invention relates to the field of gas motion simulation, in particular to a gas elimination equipment feedback control simulation method based on Fluent software. Background Art

[0002] Fluent, a general-purpose CFD simulation software package, is used to simulate complex flows ranging from incompressible to highly compressible. It is applicable to all industries related to fluids, heat transfer, and chemical reactions. Its rich physical models, advanced numerical methods, and powerful pre- and post-processing capabilities have led to its widespread application in various fields. One such application is its ability to simulate the convection and diffusion of multi-component gases under known boundary conditions in three-dimensional space.

[0003] When gas elimination equipment such as exhaust equipment and purification and elimination equipment are arranged in the simulation space, the elimination equipment can be simulated using the sink in Fluent (where specific gases disappear). The methods for setting the on and off status of gas elimination equipment in actual space scenarios include fixed settings, manual control, and control by other real-time parameter feedback. However, the current Fluent simulation software usually handles the on and off status of "sinks" as fixed or time-varying known functions. However, in the actual space, there are elimination equipment controlled by other real-time parameter feedback. For example, in the leakage monitoring scenario, the toxic gas elimination equipment needs to determine in real time whether to open or close based on the concentration of the toxic gas component at the monitored location. This cannot be simulated by the FLUENT simulation software. In addition, in the actual space, there are situations where there are linkage feedback controlled elimination equipment. For example, in the same simulation space, there are both renewable elimination equipment and non-renewable elimination equipment. The start and stop of the two types of elimination equipment require judging the concentration of toxic gas components at the monitoring location. At the same time, the non-renewable elimination equipment also needs to decide in real time whether to open or close itself according to the start and stop status, start and stop time and elimination status of the renewable elimination equipment. FLUENT simulation software cannot achieve simulation. Summary of the Invention

[0004] The purpose of the present invention is to solve the above-mentioned problems of the prior art and provide a gas elimination equipment feedback control simulation method based on Fluent software. When applied, the feedback control strategy of the elimination equipment in the actual space is used to construct a custom function that can control the conversion of the opening and closing states of the sink and the end of the simulation process and import it into the Fluent software, thereby realizing the simulation of the gas movement in the space scene equipped with the elimination equipment.

[0005] The purpose of the present invention is mainly achieved through the following technical solutions:

[0006] A gas elimination equipment feedback control simulation method based on Fluent software includes the following steps:

[0007] S1, select the grid type and divide the grid according to the actual gas movement space scene, set the boundary conditions including the sink, and output the grid model file; the sink corresponds one-to-one with the elimination equipment set in the actual gas movement space scene;

[0008] S2, based on the feedback control strategy of the elimination device, builds a custom function for the conversion control of the opening and closing states of the sink and the end control of the simulation process during the Fluent software simulation;

[0009] S3, import the mesh model file and custom function into Fluent software;

[0010] S4, setting the calculation model of the transient elimination process and completing the solver initialization settings;

[0011] S5, using the solver to perform iterative calculation simulation to obtain simulation results under transient time series.

[0012] Preferably, the elimination devices provided in the actual gas motion space scene in S1 are all independent feedback elimination devices; the custom functions in S2 include:

[0013] S21, setting a standard elimination time, and setting the on and off values ​​of the parameters for controlling the on and off state transition of the control sink according to the feedback control strategy of the elimination device;

[0014] S22, obtaining the real-time simulation value of the parameter from the solver, and comparing the real-time simulation value with the opening value; when the real-time simulation value exceeds the opening value, opening the sink, and simultaneously starting the timer; when the real-time simulation value does not exceed the opening value, comparing the real-time simulation value with the closing value, when the real-time simulation value exceeds the closing value, maintaining the current working state of the sink, and when the real-time simulation value does not exceed the closing value, closing the sink;

[0015] S23, after the timing reaches the standard elimination time, compare the real-time simulation value and the shutdown value. When the real-time simulation value still exceeds the shutdown value, reset the timer and then jump to step S22; when the real-time simulation value does not exceed the shutdown value, end the simulation.

[0016] Preferably, the elimination equipment set in the actual gas movement space scene in S1 is a renewable elimination equipment and a non-renewable elimination equipment with linkage feedback; the custom function in S2 includes:

[0017] S21, setting a standard elimination time, setting the on and off values ​​of the parameters controlling the switchover of the sink on and off states according to the feedback control strategy of the elimination device, and also setting an on delay time for the sink corresponding to the non-renewable device to control its switchover to the on state;

[0018] S22, obtaining the real-time simulation value of the parameter from the solver, and comparing the real-time simulation value with the opening value; when the real-time simulation value exceeds the opening value, opening the sink corresponding to the renewable device, and simultaneously starting the timer; after the timer reaches the opening delay time, comparing the real-time simulation value with the opening value; when the real-time simulation value still exceeds the opening value, opening the sink corresponding to the non-renewable device; when the real-time simulation value does not exceed the opening value, closing the sink corresponding to the non-renewable device;

[0019] When the real-time simulation value does not exceed the opening value, compare the real-time simulation value and the closing value; when the real-time simulation value does not exceed the closing value, maintain the current working state of the sink; when the real-time simulation value exceeds the closing value, close the sink;

[0020] S23, after the timing reaches the standard elimination time, compare the real-time simulation value and the shutdown value. When the real-time simulation value still does not exceed the shutdown value, reset the timer and then jump to step S22; when the real-time simulation value exceeds the shutdown value, end the simulation.

[0021] Preferably, the calculation model in S4 includes a gas property model, a turbulence model, and a multi-component convection-diffusion model.

[0022] In summary, the present invention has the following beneficial effects: by constructing a custom function that can control the conversion of the opening and closing states of the sink and the end of the simulation process through the feedback control strategy of the elimination equipment in the actual space and importing it into the Fluent software, it can realize the feedback control start and stop simulation analysis of a single elimination equipment, and can also realize the feedback control start and stop simulation analysis of multiple linked elimination equipment. It also allows the types of multiple elimination equipment to be different, has a wide range of applications, and is conducive to the simulation of gas movement in various space scenes equipped with elimination equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0024] Figure 1 This is a flow chart of a specific embodiment of the present invention.

[0025] Figure 2 This is a flowchart of a custom function according to a specific embodiment of the present invention.

[0026] Figure 3 This is a flowchart of a custom function according to another specific embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following diagrams illustrate various embodiments of the present invention. For clarity, many practical details are included in the following description. However, it should be understood that these practical details are not intended to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not essential.

[0028] Example:

[0029] A gas elimination equipment feedback control simulation method based on Fluent software, such as Figure 1 As shown, the following steps are included: S1, selecting a grid type and dividing the grid according to the actual gas movement space scene, setting boundary conditions including sinks, and outputting a grid model file; the sinks correspond one-to-one to the elimination devices set in the actual gas movement space scene, and the initial state of the elimination devices is closed.

[0030] S2, based on the feedback control strategy of the elimination device, builds a custom function for the conversion control of the opening and closing states of the sink during the Fluent software simulation and the end control of the simulation process.

[0031] S3, import the mesh model file and custom function into Fluent software.

[0032] S4, set the calculation model of the transient elimination process and complete the solver initialization settings; it can be understood that the calculation model in this step can be selected according to the characteristics of the simulation space scene, including gas physical property model, turbulence model, multi-component convection diffusion model, etc.

[0033] S5, using the solver to perform iterative calculation simulation to obtain simulation results under transient time series.

[0034] In one embodiment of this specification, in order to be applicable to the situation where a gas movement space scene is provided with a mitigation device that is independently controlled by other real-time parameters, such as Figure 2 As shown, the custom function in S2 includes: S21, setting the standard elimination time, and setting the opening and closing values ​​of the parameters that control the opening and closing state transition of the sink according to the feedback control strategy of the elimination device. It can be understood that the parameters can be pressure, temperature, concentration, etc.

[0035] S22, obtains the real-time simulation value of the parameter from the solver and compares the real-time simulation value with the open value. When the real-time simulation value exceeds the open value, the sink is opened and the timer starts. When the real-time simulation value does not exceed the open value, the real-time simulation value is compared with the close value. When the real-time simulation value exceeds the close value, the current working state of the sink is maintained. When the real-time simulation value does not exceed the close value, the sink is closed. It should be noted that the breakthrough in S22 can be greater or less than based on different application space scenarios.

[0036] S23, after the timing reaches the standard elimination time, compare the real-time simulation value and the shutdown value. When the real-time simulation value still exceeds the shutdown value, reset the timer and then jump to step S22; when the real-time simulation value does not exceed the shutdown value, end the simulation.

[0037] In one embodiment of the present specification, in order to be applicable to the situation where there are linkage feedback controlled elimination devices in the actual space, the elimination devices set in the actual gas movement space scene are renewable elimination devices and non-renewable elimination devices with linkage feedback. It should be noted that renewable elimination equipment is elimination equipment such as exhaust and ventilation equipment that can be directly recycled, and non-renewable elimination equipment is elimination equipment that needs to be replaced with purification and reaction consumables before use. In actual industrial applications, for cost-saving reasons, it is usually necessary to turn on the renewable elimination equipment first, and then turn on the non-renewable elimination equipment when the elimination situation is still not ideal after a period of time.

[0038] like Figure 3 As shown, the custom function in S2 includes: S21, setting the standard elimination time, setting the open value and close value of the parameters for controlling the on-off state conversion of the sink according to the feedback control strategy of the elimination device, and the sink corresponding to the non-renewable device is also set with an open delay time to control it to turn to the open state.

[0039] S22, obtain the real-time simulation value of the parameter from the solver, and compare the real-time simulation value and the opening value; when the real-time simulation value exceeds the opening value, turn on the sink corresponding to the renewable device, and the timer starts timing; after the timing reaches the opening delay time, compare the real-time simulation value and the opening value, when the real-time simulation value still exceeds the opening value, turn on the sink corresponding to the non-renewable device, and when the real-time simulation value does not exceed the opening value, turn on the sink corresponding to the non-renewable device.

[0040] When the real-time simulation value does not exceed the opening value, compare the real-time simulation value and the closing value; when the real-time simulation value does not exceed the closing value, keep the current working state of all sinks; when the real-time simulation value exceeds the closing value, close all sinks.

[0041] S23, after the timing reaches the standard elimination time, compare the real-time simulation value and the shutdown value. When the real-time simulation value still does not exceed the shutdown value, reset the timer and then jump to step S22; when the real-time simulation value exceeds the shutdown value, end the simulation.

[0042] The present invention constructs a custom function that can control the conversion of the opening and closing states of the sink and the end of the simulation process through the feedback control strategy of the abatement equipment in the actual space and imports it into the Fluent software. It can realize the feedback control start and stop simulation analysis of a single abatement equipment, and can also realize the feedback control start and stop simulation analysis of multiple linked abatement equipment. It also allows the types of multiple abatement equipment to be different, has a wide range of applications, and is conducive to the simulation of gas movement in various space scenes equipped with abatement equipment.

[0043] Parts not described in the above methods can be achieved by adopting or drawing on existing technologies.

[0044] The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and the specific embodiments of the present invention cannot be considered to be limited to these descriptions. For those skilled in the art to which the present invention belongs, other embodiments derived without departing from the technical solution of the present invention should be included in the scope of protection of the present invention.

Claims

1. A gas elimination equipment feedback control simulation method based on Fluent software, characterized in that: The following steps are involved: S1, select the grid type and divide the grid according to the actual gas movement space scene, set the boundary conditions including the sink, and output the grid model file; the sink corresponds one-to-one with the elimination equipment set in the actual gas movement space scene; S2, based on the feedback control strategy of the elimination device, builds a custom function for the conversion control of the opening and closing states of the sink and the end control of the simulation process during the Fluent software simulation; S3, import the mesh model file and custom function into Fluent software; S4, setting the calculation model of the transient elimination process and completing the solver initialization settings; S5, using the solver to perform iterative calculation simulation to obtain simulation results under transient time series; When the elimination devices set in the actual gas motion space scene in S1 are all independent feedback elimination devices, the custom functions in S2 include: S21, setting a standard elimination time, and setting the on and off values ​​of the parameters for controlling the on and off state transition of the control sink according to the feedback control strategy of the elimination device; S22, obtaining the real-time simulation value of the parameter from the solver, and comparing the real-time simulation value with the opening value; when the real-time simulation value exceeds the opening value, opening the sink, and simultaneously starting the timer; when the real-time simulation value does not exceed the opening value, comparing the real-time simulation value with the closing value, when the real-time simulation value exceeds the closing value, maintaining the current working state of the sink, and when the real-time simulation value does not exceed the closing value, closing the sink; S23, after the timing reaches the standard elimination time, compare the real-time simulation value and the shutdown value. If the real-time simulation value still exceeds the shutdown value, reset the timer and then jump to step S22; if the real-time simulation value does not exceed the shutdown value, end the simulation; When the elimination equipment set in the actual gas movement space scene in S1 is a renewable elimination equipment and a non-renewable elimination equipment with linkage feedback, the custom function in S2 includes: S21, setting a standard elimination time, setting the on and off values ​​of the parameters controlling the switchover of the sink on and off states according to the feedback control strategy of the elimination device, and also setting an on delay time for the sink corresponding to the non-renewable device to control its switchover to the on state; S22, obtaining the real-time simulation value of the parameter from the solver, and comparing the real-time simulation value with the opening value; when the real-time simulation value exceeds the opening value, opening the sink corresponding to the renewable device, and simultaneously starting the timer; after the timer reaches the opening delay time, comparing the real-time simulation value with the opening value; when the real-time simulation value still exceeds the opening value, opening the sink corresponding to the non-renewable device; when the real-time simulation value does not exceed the opening value, closing the sink corresponding to the non-renewable device; When the real-time simulation value does not exceed the opening value, compare the real-time simulation value and the closing value; when the real-time simulation value does not exceed the closing value, maintain the current working state of the sink; when the real-time simulation value exceeds the closing value, close the sink; S23, after the timing reaches the standard elimination time, compare the real-time simulation value and the shutdown value. When the real-time simulation value still does not exceed the shutdown value, reset the timer and then jump to step S22; when the real-time simulation value exceeds the shutdown value, end the simulation.

2. The gas elimination equipment feedback control simulation method based on Fluent software according to claim 1 is characterized in that: The calculation models in S4 include a gas property model, a turbulence model, and a multi-component convection-diffusion model.

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