Control method and device of dielectric barrier discharge tail gas treatment equipment and vehicle

Abstract

The invention provides a control method and device of dielectric barrier discharge tail gas treatment equipment and a vehicle. The dielectric barrier discharge tail gas treatment equipment comprises a gas flow channel and a vortex exciter located in the gas flow channel, and the method comprises the steps that parameters of tail gas introduced into the gas flow channel are obtained and comprise the tail gas flow, the tail gas temperature and the tail gas pressure; the tail gas parameters are analyzed through a target model, control parameters of the vortex exciter are determined, the control parameters comprise reciprocating frequency and amplitude, the target model is trained through machine learning by using multiple arrays, and each array comprises historical tail gas parameters and historical control parameters corresponding to the historical tail gas parameters; the historical tail gas parameters comprise historical tail gas flow, historical tail gas temperature and historical tail gas pressure, and the historical control parameters comprise historical reciprocating frequency and historical amplitude; the vortex exciter is controlled to operate according to the control parameters, so that at least part of the ionization area in the airflow channel is located in the vortex area formed by the vortex exciter.

Description

Technical Field

[0001] The present application relates to the technical field of exhaust gas treatment, and in particular to a control method, device and vehicle for a dielectric barrier discharge exhaust gas treatment device. Background Art

[0002] Reducing harmful gas emissions from diesel engines is a hot topic for researchers.

[0003] The dielectric barrier discharge (DBD) device is filled with working gas between two discharge electrodes, and one or both electrodes are covered with an insulating medium. When a sufficiently high AC voltage is applied between the two electrodes, the gas between the electrodes will be broken down and discharge will occur, which is called dielectric barrier discharge. The active substances produced by the discharge can be used to treat diesel engine exhaust.

[0004] The existing tail gas treatment technology based on dielectric barrier discharge equipment is not sufficient to treat pollutants in the tail gas, causing environmental pollution. Summary of the invention

[0005] The main purpose of the present application is to provide a control method, device and vehicle for a dielectric barrier discharge exhaust gas treatment device, so as to at least solve the problem that the dielectric barrier discharge exhaust gas treatment device in the prior art is insufficient in exhaust gas treatment and pollutes the environment.

[0006] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a control method for a dielectric barrier discharge exhaust treatment device is provided, the dielectric barrier discharge exhaust treatment device includes an airflow channel and a vortex actuator, the vortex actuator is located in the airflow channel, and the method includes: obtaining exhaust parameters passing into the airflow channel, the exhaust parameters include exhaust flow, exhaust temperature and exhaust pressure; using a target model to analyze the exhaust parameters to determine the control parameters of the vortex actuator, the control parameters include reciprocating frequency and amplitude, the target model is trained by machine learning using multiple arrays, each of the multiple arrays includes: historical exhaust parameters and historical control parameters corresponding to the historical exhaust parameters, the historical exhaust parameters include historical exhaust flow, historical exhaust temperature and historical exhaust pressure, the historical control parameters include historical reciprocating frequency and historical amplitude; controlling the vortex actuator to operate with the control parameters so that at least part of the ionization area in the airflow channel is located in the vortex area formed by the vortex actuator.

[0007] Optionally, before using the target model to analyze the exhaust gas parameters and determine the control parameters of the vortex exciter, the method also includes: determining the ionization area; determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas to obtain multiple arrays, and the overlap between the historical vortex areas and the ionization areas is greater than a first threshold; establishing a feedforward neural network model; using the historical exhaust gas parameters as the input of the feedforward neural network model, using the historical control parameters as the output of the feedforward neural network model, and using multiple arrays to train the feedforward neural network model to obtain the target model.

[0008] Optionally, determining the ionization area includes: acquiring electric potentials of multiple areas in the airflow channel; determining electric field strengths of the multiple areas based on the electric potentials; and determining, based on the multiple electric field strengths, that the area corresponding to the electric field strength greater than a second threshold is the ionization area.

[0009] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: obtaining multiple initial arrays, the initial array including initial exhaust gas flow, initial exhaust gas temperature, initial exhaust gas pressure, initial reciprocating frequency and initial amplitude; calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; determining the degree of overlap between each of the preparatory vortex areas and the ionization area; determining the preparatory vortex area whose overlap is greater than a second threshold as the historical vortex area, and the initial array corresponding to the historical vortex area as the array, to obtain a predetermined number of the arrays.

[0010] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: a control step, while keeping the initial exhaust gas parameters unchanged, adjusting at least one of the initial reciprocating frequency and the initial amplitude for multiple times to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure; a calculation step, calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; a first determination step, determining the overlap between each of the preparatory vortex areas and the ionization area; a second determination step, determining the preparatory vortex area with the largest overlap as the historical vortex area, and the initial arrays corresponding to the historical vortex areas constitute the array; an adjustment step, adjusting at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust pressure, and cyclically executing the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

[0011] Optionally, determining the overlap between each of the preparatory vortex regions and the ionization region comprises: according to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

[0012] Optionally, multiple vortex areas corresponding to the initial arrays are calculated to obtain multiple preliminary vortex areas, including: according to the exhaust gas flow, the exhaust gas temperature and the exhaust gas pressure, an initial numerical model is established using the Navier-Stokes equations, and the initial numerical model is a numerical model of the gas flow in the airflow channel; the reciprocating frequency and the amplitude are added to the initial numerical model as external excitation conditions to obtain a numerical model; numerical simulation calculations are performed on the numerical model to obtain the gas flow field conditions in the airflow channel; according to the gas flow field conditions, the vortex amount of the multiple preliminary vortex areas is determined, and the vortex amount characterizes the distribution of the preliminary vortex areas in the airflow channel.

[0013] Optionally, the vortex exciter includes vortex exciter blades and a rotating shaft, and the vortex exciter blades are connected to the rotating shaft. Controlling the vortex exciter to operate with the control parameters includes: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex exciter blades to reciprocate and vibrate.

[0014] According to another aspect of the present application, a control device for a dielectric barrier discharge exhaust treatment equipment is provided, the dielectric barrier discharge exhaust treatment equipment comprising an airflow channel and a vortex actuator, the vortex actuator being located in the airflow channel, the device comprising: an acquisition unit for acquiring exhaust parameters passing into the airflow channel, the exhaust parameters comprising exhaust flow, exhaust temperature and exhaust pressure; a use unit for analyzing the exhaust parameters using a target model to determine control parameters of the vortex actuator, the control parameters comprising reciprocating frequency and amplitude, the target model being trained by machine learning using multiple arrays, each of the multiple arrays comprising: historical exhaust parameters and historical control parameters corresponding to the historical exhaust parameters, the historical exhaust parameters comprising historical exhaust flow, historical exhaust temperature and historical exhaust pressure, the historical control parameters comprising historical reciprocating frequency and historical amplitude; a control unit for controlling the vortex actuator to operate with the control parameters so that at least part of the ionization region in the airflow channel is located in the vortex region formed by the vortex actuator.

[0015] According to another aspect of the present application, a vehicle is provided, comprising: a dielectric barrier discharge exhaust treatment device, comprising an airflow channel and a vortex exciter, wherein the vortex exciter is located in the airflow channel; a controller, comprising one or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the methods described.

[0016] By applying the technical solution of the present application, a vortex generator is set in the air flow channel of the dielectric barrier discharge exhaust gas treatment equipment, thereby increasing the turbulence of the exhaust gas in the air flow channel. The exhaust gas parameters such as exhaust flow, temperature and pressure are analyzed by the target model, and the control parameters such as the reciprocating frequency and amplitude of the vortex generator are determined, so as to control the vortex generator to operate with the control parameters, so that the ionization area and the vortex area at least partially overlap, so that the active particles such as ions and free radicals generated by the discharge can be diffused into the entire exhaust gas in a timely manner, so that the active particles can effectively interact with the harmful substances in the exhaust gas, thereby improving the cleaning effect of the dielectric barrier discharge exhaust gas treatment equipment on the harmful substances in the exhaust gas, reducing the emission of harmful substances, and alleviating the impact of the emission of harmful substances on the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 A hardware structure block diagram of a mobile terminal for executing a control method for a dielectric barrier discharge tail gas treatment device provided in an embodiment of the present application is shown;

[0019] Figure 2 A schematic structural diagram of a dielectric barrier discharge tail gas treatment device provided according to an embodiment of the present application is shown;

[0020] Figure 3 A schematic flow chart of a control method for a dielectric barrier discharge tail gas treatment device provided in accordance with an embodiment of the present application is shown;

[0021] Figure 4 A schematic diagram showing the positions of a vortex region and an ionization region in a dielectric barrier discharge tail gas treatment device provided according to an embodiment of the present application is shown;

[0022] Figure 5 A schematic diagram of the model structure of a feedforward neural network model provided according to an embodiment of the present application is shown;

[0023] Figure 6A structural block diagram of a control device for a dielectric barrier discharge tail gas treatment device provided according to an embodiment of the present application is shown.

[0024] The drawings include the following reference numerals:

[0025] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device; 10. Air flow channel; 11. Vortex exciter; 12. Vortex region; 13. Ionization region; 14. First electrode; 15. Second electrode; 16. Air flow channel wall; 17. Vortex excitation blade; 18. Rotating shaft. DETAILED DESCRIPTION

[0026] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0027] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of this application.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the accompanying drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] As introduced in the background technology, the dielectric barrier discharge exhaust treatment equipment in the prior art does not adequately treat exhaust gas and pollutes the environment. To solve the above technical problems, the embodiments of the present application provide a control method, device and vehicle for a dielectric barrier discharge exhaust treatment equipment.

[0030] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0031] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal of a control method for a dielectric barrier discharge tail gas treatment device according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is for illustration only and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0032] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the control method of the dielectric barrier discharge tail gas treatment device in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the method described is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The specific example of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0033] In this embodiment, a control method for a dielectric barrier discharge exhaust treatment device running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0034] Figure 2 is a schematic diagram of the structure of a dielectric barrier discharge tail gas treatment device according to an embodiment of the present application, such as Figure 2 As shown, the dielectric barrier discharge exhaust gas treatment device includes an air flow channel 10 and a vortex exciter 11. The vortex exciter 11 is located in the air flow channel 10, and the air flow channel 10 is connected to the exhaust port of the engine. Figure 3 1 is a flow chart of a control method of a dielectric barrier discharge tail gas treatment device according to an embodiment of the present application. Figure 3 As shown, the method comprises the following steps:

[0035] Step S201, obtaining exhaust gas parameters entering the air flow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure;

[0036] Specifically, the exhaust gas flow rate is the flow rate of the exhaust gas entering the airflow channel, the exhaust gas temperature is the temperature of the exhaust gas entering the airflow channel, and the exhaust gas pressure is the pressure of the exhaust gas discharged into the airflow channel, also called exhaust pressure.

[0037] Step S202, using a target model to analyze the exhaust gas parameters to determine control parameters of the vortex exciter, the control parameters including reciprocating frequency and amplitude, the target model is trained by machine learning using multiple arrays, each of the multiple arrays including: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, the historical exhaust gas parameters including historical exhaust gas flow, historical exhaust gas temperature and historical exhaust gas pressure, and the historical control parameters including historical reciprocating frequency and historical amplitude;

[0038] Specifically, the exhaust gas parameters are input into the target model, and the target model outputs the corresponding control parameters. The reciprocating frequency is the frequency at which the vortex exciter 11 reciprocates. The vortex exciter 11 is also called a vortex generator, which is used to reciprocate in the airflow channel 10 to generate a vortex in the airflow channel 10, forming a Figure 4The vortex region 12 shown. The position of the vortex region formed in the airflow channel can be determined according to the historical control parameters and the historical exhaust gas parameters, and the positions of the historical vortex regions corresponding to the historical control parameters and the historical exhaust gas parameters satisfy: the ionization region in the airflow channel is at least partially located in the historical vortex region.

[0039] Step S203: Control the vortex actuator to operate with the control parameters so that at least part of the ionization region in the airflow channel is located in the vortex region formed by the vortex actuator.

[0040] Specifically, Figure 4 As shown, the ionization region 13 is the gas region ionized during the discharge process of the dielectric barrier discharge tail gas device, also called the discharge region, which is the region with a strong electric field in the gas flow channel 10 and is also the region where active particles are generated. The vortex region 12 is the region where the vortex is located, which is a region with high turbulence and large diffusion coefficient in the gas flow channel 10. When the ionization region 13 overlaps at least partially with the vortex region 12, active particles such as ions and free radicals generated by the discharge can be diffused into the tail gas in a timely manner.

[0041] Through the embodiment, the exhaust gas parameters such as the exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure entering the airflow channel are first obtained; then the exhaust gas parameters are analyzed using the target model to determine the reciprocating frequency and amplitude corresponding to the exhaust gas parameters, which are the control parameters of the vortex exciter; finally, the vortex exciter is controlled to operate according to the control parameters, so that at least part of the ionization area in the airflow channel is located in the vortex area formed by the vortex exciter. The present application sets a vortex generator in the air flow channel of the dielectric barrier discharge exhaust gas treatment equipment, increases the turbulence of the exhaust gas in the air flow channel, analyzes the exhaust gas parameters such as exhaust flow, temperature and pressure through a target model, determines the control parameters such as the reciprocating frequency and amplitude of the vortex generator, and thus controls the vortex generator to operate with the control parameters, so that the ionization area and the vortex area at least partially overlap, so that the active particles such as ions and free radical substances generated by the discharge can be diffused into the entire exhaust gas in a timely manner, so that the active particles can effectively interact with the harmful substances in the exhaust gas, thereby improving the cleaning effect of the dielectric barrier discharge exhaust gas treatment equipment on the harmful substances in the exhaust gas, reducing the emission of harmful substances, and alleviating the impact of the emission of harmful substances on the environment.

[0042] like Figure 2 and Figure 4As shown, the dielectric barrier discharge tail gas treatment equipment also includes: a first electrode 14 and a second electrode 15, the first electrode 14 and the second electrode 15 are respectively connected to the two ends of the AC power supply; two opposite insulated air flow channel walls 16, the two of which surround the air flow channel 10. The voltage provided by the AC power supply is between 5kV-20kV, and a dielectric barrier discharge is formed in the air flow channel 10. The material of the first electrode 14 and the second electrode 15 can be copper, or other conductive materials can be selected. When the ionization area 13 is just in the vortex area 12, the active particles can be diffused to other parts of the tail gas outside the vortex area 12 in time, so as to more effectively interact with the pollutants in the tail gas. Otherwise, due to the short life of the active particles, they will be consumed before they have time to fully interact with the pollutants. Using the solution of the present application, under given working conditions, the overlap of the ionization area and the vortex area is achieved, thereby improving the tail gas treatment effect.

[0043] In actual application, the target model may be any suitable prediction model, such as a neural network model, etc. The training set of the target model may be obtained by numerical simulation calculation or experimental measurement, or a combination of the two.

[0044] In an optional solution, before analyzing the exhaust gas parameters using the target model to determine the control parameters of the vortex exciter, the method further includes:

[0045] Step S204: determining the ionization region, that is, determining the position of the ionization region in the air flow channel;

[0046] Specifically, when the electrode structure and the power supply of the dielectric barrier discharge tail gas treatment device remain unchanged, the position of the ionization region in the air flow channel is fixed.

[0047] Step S205: determining the historical exhaust gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions to obtain a plurality of arrays, wherein the overlap between the historical vortex regions and the ionization regions is greater than a first threshold;

[0048] Specifically, since the position of the vortex area formed in the airflow channel can be determined by the historical control parameters and the historical exhaust gas parameters, multiple arrays of the training model are obtained by collecting historical control parameters and historical exhaust gas parameters corresponding to historical vortex areas that satisfy a degree of overlap with the ionization area greater than a first threshold, and the historical vortex area corresponds to an array of {exhaust flow V, exhaust temperature T, exhaust pressure P, reciprocating frequency f, amplitude A}.

[0049] Step S206: Establishing a feedforward neural network model;

[0050] Step S207: using the historical exhaust gas parameters as the input of the feedforward neural network model, using the historical control parameters as the output of the feedforward neural network model, and using a plurality of the arrays to train the feedforward neural network model to obtain the target model.

[0051] In the described embodiment, the position of the ionization region is determined, and then based on the position of the ionization region, historical control parameters and historical exhaust gas parameters corresponding to historical vortex regions whose overlap with the ionization region is greater than a first threshold value are determined, thereby obtaining multiple arrays; and the established feedforward neural network model is trained using multiple arrays, which can ensure that the target model that can accurately predict the control parameters based on the exhaust gas parameters is obtained, providing a relatively accurate model structure for subsequent accurate control of the vortex actuator so that the ionization region and the vortex region in the airflow channel at least partially overlap, and further ensuring that the subsequent control of the vortex actuator based on the control parameters output by the target model can improve the purification effect of the exhaust gas.

[0052] The feedforward neural network model is a hierarchical neural network model with the advantages of simple structure, easy implementation and powerful data processing capability. Figure 5 As shown, the input of the feedforward neural network model includes exhaust gas flow rate V, exhaust gas temperature T and exhaust gas pressure P; the output of the feedforward neural network model includes the reciprocating frequency f and amplitude A of the vortex exciter. The feedforward neural network model has 5-8 layers, and each layer includes 5-10 units. The trained feedforward neural network can be used for online control of the system. The exhaust gas flow rate V, exhaust gas temperature T, and exhaust gas pressure P measured by the sensor are used as model inputs, and the output obtained is the reciprocating frequency f and amplitude A of the vortex exciter.

[0053] Furthermore, step S204: determining the ionization region may be implemented by: obtaining the potentials of multiple regions in the airflow channel; determining the electric field strengths of the multiple regions according to the potentials; and determining the region corresponding to the electric field strength greater than a second threshold as the ionization region according to the multiple electric field strengths. In this way, a relatively accurate position of the ionization region can be obtained.

[0054] Among them, those skilled in the art can choose any appropriate method to obtain the electric potential of each of the regions. For example, the electric potential of each region in the air flow channel can be tested by a probe. The method for determining the electric field strength according to the electric potential can be: according to the formula The electric field strength is obtained, wherein E is the electric field strength, is the potential, is the gradient operator.

[0055] The second threshold value can be determined by whether obvious discharge occurs in a given area. The specific method is: under specific working conditions, the electric field strength of the dielectric barrier discharge exhaust gas treatment equipment is gradually increased. If obvious discharge occurs in a given area, it is considered that the second threshold value has been reached. The electric field strength at this time is the specific value of the second threshold value. Whether obvious discharge occurs can be determined by observing whether obvious glow is generated by a high-speed camera.

[0056] According to some optional embodiments of the present application, step S205: determining the historical exhaust gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions may include:

[0057] Step S2051: acquiring a plurality of initial arrays, wherein the initial arrays include an initial exhaust gas flow rate, an initial exhaust gas temperature, an initial exhaust gas pressure, an initial reciprocating frequency, and an initial amplitude;

[0058] Step S2052: Calculate the vortex regions corresponding to the multiple initial arrays to obtain multiple preliminary vortex regions;

[0059] Step S2053: determining the overlap between each of the preparatory vortex regions and the ionization region;

[0060] Step S2054: determining the preparatory vortex region whose overlap degree is greater than a second threshold as the historical vortex region, and the initial array corresponding to the historical vortex region as the array, to obtain a predetermined number of the arrays.

[0061] In the embodiment, a plurality of initial arrays consisting of an initial exhaust flow rate, an initial exhaust temperature, an initial exhaust pressure, an initial reciprocating frequency and an initial amplitude are first obtained; then the positions of the preliminary vortex regions corresponding to the initial arrays are respectively calculated; finally, the initial array corresponding to the preliminary vortex regions satisfying the degree of overlap with the ionization region being greater than a second threshold value is determined to be the array, thereby ensuring the accuracy and scalability of the model training set, so that the model trained with the training set can output accurate control parameters according to the input exhaust parameters, thereby further ensuring that the exhaust treatment effect of the dielectric barrier discharge exhaust treatment equipment is better, and further avoiding the problem of environmental pollution caused by insufficient exhaust treatment.

[0062] Specifically, multiple different initial exhaust gas parameters and multiple different initial control parameters can be set, and any initial exhaust gas parameter and any initial control parameter can be combined to obtain multiple initial arrays, wherein, when two initial exhaust gas parameters are compared, at least one of the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure is different; when two initial control parameters are compared, at least one of the initial reciprocating frequency and the initial amplitude is different.

[0063] According to some other optional embodiments of the present application, step S205: determining the historical exhaust gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions may also include:

[0064] Step S2051': a control step, in which at least one of the initial reciprocating frequency and the initial amplitude is adjusted multiple times while keeping the initial exhaust gas parameters unchanged, so as to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, wherein the initial exhaust gas parameters include the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure, and the initial exhaust gas parameters include the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure;

[0065] Specifically, one of the initial arrays includes one of the initial exhaust gas parameters and one of the initial control parameters before or after adjustment. In a plurality of the initial arrays, the initial exhaust gas parameters are the same, and the initial control parameters are different.

[0066] Step S2052': a calculation step, calculating the vortex regions corresponding to the multiple initial arrays to obtain multiple preliminary vortex regions;

[0067] Step S2053': a first determination step, determining the overlap between each of the preparatory vortex regions and the ionization region;

[0068] Step S2054': a second determination step, determining the preparatory vortex region with the largest overlap as the historical vortex region, and the initial array corresponding to the historical vortex region constitutes the array;

[0069] Step S2055': an adjustment step, adjusting at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust gas pressure, and looping the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

[0070] Specifically, at least one of the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure is adjusted to obtain an adjusted initial exhaust gas parameter, and the control step, the calculation step, the first determination step and the second determination step are cyclically performed, that is, the adjusted initial exhaust gas parameter is controlled to remain unchanged, and the initial control parameter is readjusted to obtain an array corresponding to the historical vortex area. In other words, the control step, the calculation step, the first determination step and the second determination step are cyclically performed once to obtain the array.

[0071] In the embodiment, the initial exhaust gas flow rate, the initial exhaust gas temperature and the exhaust gas pressure are first kept unchanged, and at least one of the initial frequency and the initial amplitude is continuously adjusted to obtain multiple initial arrays, and the preliminary vortex areas corresponding to these initial arrays are determined, and the preliminary vortex areas with a high degree of overlap with the ionization area are determined as historical vortex areas, thereby selecting an array from the multiple initial arrays; after adjusting at least one of the initial exhaust gas flow rate, the initial exhaust gas temperature and the exhaust gas pressure, the process is looped until a predetermined number of arrays are obtained, thereby ensuring the accuracy and scalability of the model training set, so that the model trained with the training set can output accurate control parameters according to the input exhaust gas parameters, thereby further ensuring that the exhaust gas treatment effect of the dielectric barrier discharge exhaust gas treatment equipment is better, and further avoiding the problem of insufficient exhaust gas treatment causing environmental pollution.

[0072] Of course, in addition to the described method, in other embodiments, the initial frequency and the initial amplitude may be kept unchanged, and at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the exhaust gas pressure may be continuously adjusted to obtain multiple initial arrays, and the preliminary vortex areas corresponding to these initial arrays may be determined, and the preliminary vortex areas with a high degree of overlap with the ionization area may be determined as the historical vortex areas, thereby selecting an array from the multiple initial arrays; and after adjusting at least one of the initial frequency and the initial amplitude, the process may be executed in a loop until a predetermined number of arrays are obtained.

[0073] In order to further achieve more accurate and rapid acquisition of the overlap between the preparatory vortex region and the ionization region, optionally, determining the overlap between each of the preparatory vortex regions and the ionization region includes: according to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

[0074] In some other optional embodiments, the vortex areas corresponding to the multiple initial arrays are calculated to obtain multiple preliminary vortex areas, including: according to the exhaust gas flow, the exhaust gas temperature and the exhaust gas pressure, an initial numerical model is established using the Navier-Stokes equation, and the initial numerical model is a numerical model of the gas flow in the airflow channel; the reciprocating frequency and the amplitude are added to the initial numerical model as external excitation conditions to obtain a numerical model; the numerical model is numerically simulated to obtain the gas flow field in the airflow channel; according to the gas flow field, the vortex amount of the multiple preliminary vortex areas is determined, and the vortex amount characterizes the distribution of the preliminary vortex area in the airflow channel. The position of the preliminary vortex area is obtained by the flow field calculation method, which can ensure that the position of the obtained preliminary vortex area is more closely matched with the actual working condition corresponding to the initial array, further ensuring the position accuracy of the preliminary vortex area, and providing a more accurate data basis for the subsequent calculation of the overlap.

[0075] Specifically, Figure 2 and Figure 4 As shown, the vortex exciter 11 includes a vortex excitation blade 17 and a rotating shaft 18, and the vortex excitation blade 17 is connected to the rotating shaft 18. Controlling the vortex exciter to operate with the control parameters includes: controlling the rotating shaft to rotate according to the reciprocating frequency and vibrate according to the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate. In the embodiment, the vortex excitation blade is driven by the rotating shaft to reciprocate at the reciprocating frequency and vibrate at the amplitude, so that the vortex path and vortex size in the exhaust gas field of the airflow channel can be effectively controlled, so that the generated vortex area is at least partially overlapped with the ionization area in the airflow channel, further improving the discharge efficiency and conversion efficiency of the dielectric barrier discharge exhaust gas treatment equipment, further reducing the energy loss of the dielectric barrier discharge exhaust gas treatment equipment, thereby further enhancing the exhaust gas treatment effect and reducing the impact of harmful substances in the exhaust gas on the environment.

[0076] The vortex excitation blade 17 and the rotating shaft 18 can be mechanically connected by bolts, etc. The rotation and vibration of the rotating shaft 18 are transmitted to the vortex excitation blade 17.

[0077] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0078] The embodiment of the present application also provides a control device for a dielectric barrier discharge tail gas treatment device. It should be noted that the control device for a dielectric barrier discharge tail gas treatment device of the embodiment of the present application can be used to execute the control method for a dielectric barrier discharge tail gas treatment device provided by the embodiment of the present application. The device is used to implement the embodiments and preferred implementations, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0079] The following is an introduction to the control device of the dielectric barrier discharge tail gas treatment equipment provided in the embodiment of the present application.

[0080] Figure 2 is a schematic diagram of the structure of a dielectric barrier discharge tail gas treatment device according to an embodiment of the present application, such as Figure 2 As shown, the dielectric barrier discharge exhaust gas treatment device includes an air flow channel 10 and a vortex exciter 11. The vortex exciter 11 is located in the air flow channel 10, and the air flow channel 10 is connected to the exhaust port of the engine. Figure 6 Schematic diagram of a control device for a dielectric barrier discharge tail gas treatment device according to an embodiment of the present application. Figure 6 As shown, the device comprises:

[0081] An acquisition unit 20, used to acquire exhaust gas parameters entering the airflow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure;

[0082] Specifically, the exhaust gas flow rate is the flow rate of the exhaust gas entering the airflow channel, the exhaust gas temperature is the temperature of the exhaust gas entering the airflow channel, and the exhaust gas pressure is the pressure of the exhaust gas discharged into the airflow channel, also called exhaust pressure.

[0083] An analysis unit 30 is used to analyze the exhaust gas parameters using a target model to determine control parameters of a vortex exciter, wherein the control parameters include a reciprocating frequency and an amplitude, and the target model is trained by machine learning using a plurality of arrays, wherein each of the plurality of arrays includes: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, wherein the historical exhaust gas parameters include a historical exhaust gas flow rate, a historical exhaust gas temperature, and a historical exhaust gas pressure, and the historical control parameters include a historical reciprocating frequency and a historical amplitude;

[0084] Specifically, the exhaust gas parameters are input into the target model, and the target model outputs the corresponding control parameters. The reciprocating frequency is the frequency at which the vortex exciter 11 reciprocates. The vortex exciter 11 is also called a vortex generator, which is used to reciprocate in the airflow channel 10 to generate a vortex in the airflow channel 10, forming a Figure 4 The vortex region 12 shown. The position of the vortex region formed in the airflow channel can be determined according to the historical control parameters and the historical exhaust gas parameters, and the positions of the historical vortex regions corresponding to the historical control parameters and the historical exhaust gas parameters satisfy: the ionization region in the airflow channel is at least partially located in the historical vortex region.

[0085] The control unit 40 is used to control the vortex actuator to operate with the control parameters so that at least part of the ionization area in the air flow channel is located in the vortex area formed by the vortex actuator.

[0086] Specifically, Figure 4 As shown, the ionization region 13 is the gas region ionized during the discharge process of the dielectric barrier discharge tail gas device, also called the discharge region, which is the region with a strong electric field in the gas flow channel 10 and is also the region where active particles are generated. The vortex region 12 is the region where the vortex is located, which is a region with high turbulence and large diffusion coefficient in the gas flow channel 10. When the ionization region 13 overlaps at least partially with the vortex region 12, active particles such as ions and free radicals generated by the discharge can be diffused into the tail gas in a timely manner.

[0087] Through the embodiment, the exhaust gas parameters such as the exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure entering the airflow channel are acquired through the acquisition unit; the exhaust gas parameters are analyzed by the analysis unit using the target model to determine the reciprocating frequency and amplitude corresponding to the exhaust gas parameters, which are the control parameters of the vortex exciter; the vortex exciter is controlled by the control unit according to the control parameters so that at least part of the ionization area in the airflow channel is located in the vortex area formed by the vortex exciter. The present application sets a vortex generator in the air flow channel of the dielectric barrier discharge exhaust gas treatment equipment, increases the turbulence of the exhaust gas in the air flow channel, analyzes the exhaust gas parameters such as exhaust flow, temperature and pressure through a target model, determines the control parameters such as the reciprocating frequency and amplitude of the vortex generator, and thus controls the vortex generator to operate with the control parameters, so that the ionization area and the vortex area at least partially overlap, so that the active particles such as ions and free radical substances generated by the discharge can be diffused into the entire exhaust gas in a timely manner, so that the active particles can effectively interact with the harmful substances in the exhaust gas, thereby improving the cleaning effect of the dielectric barrier discharge exhaust gas treatment equipment on the harmful substances in the exhaust gas, reducing the emission of harmful substances, and alleviating the impact of the emission of harmful substances on the environment.

[0088] like Figure 2 and Figure 4 As shown, the dielectric barrier discharge tail gas treatment equipment also includes: a first electrode 14 and a second electrode 15, the first electrode 14 and the second electrode 15 are respectively connected to the two ends of the AC power supply; two opposite insulated air flow channel walls 16, the two of which surround the air flow channel 10. The voltage provided by the AC power supply is between 5kV-20kV, and a dielectric barrier discharge is formed in the air flow channel 10. The material of the first electrode 14 and the second electrode 15 can be copper, or other conductive materials can be selected. When the ionization area 13 is just in the vortex area 12, the active particles can be diffused to other parts of the tail gas outside the vortex area 12 in time, so as to more effectively interact with the pollutants in the tail gas. Otherwise, due to the short life of the active particles, they will be consumed before they have time to fully interact with the pollutants. Using the solution of the present application, under given working conditions, the overlap of the ionization area and the vortex area is achieved, thereby improving the tail gas treatment effect.

[0089] In actual application, the target model may be any suitable prediction model, such as a neural network model, etc. The training set of the target model may be obtained by numerical simulation calculation or experimental measurement, or a combination of the two.

[0090] In an optional solution, the device further includes:

[0091] A first determination unit is used to determine the ionization region, that is, determine the position of the ionization region in the airflow channel before analyzing the exhaust gas parameters using a target model to determine the control parameters of the vortex exciter;

[0092] Specifically, when the electrode structure and the power supply of the dielectric barrier discharge tail gas treatment device remain unchanged, the position of the ionization region in the air flow channel is fixed.

[0093] A second determination unit is used to determine the historical exhaust gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions to obtain a plurality of arrays, wherein the overlap between the historical vortex regions and the ionization regions is greater than a first threshold;

[0094] Specifically, since the position of the vortex area formed in the airflow channel can be determined by the historical control parameters and the historical exhaust gas parameters, multiple arrays of the training model are obtained by collecting historical control parameters and historical exhaust gas parameters corresponding to historical vortex areas that satisfy a degree of overlap with the ionization area greater than a first threshold, and the historical vortex area corresponds to an array of {exhaust flow V, exhaust temperature T, exhaust pressure P, reciprocating frequency f, amplitude A}.

[0095] Establishing a unit for establishing a feed-forward neural network model;

[0096] A training unit is used to use the historical exhaust parameters as the input of the feedforward neural network model, use the historical control parameters as the output of the feedforward neural network model, and use multiple arrays to train the feedforward neural network model to obtain the target model.

[0097] In the described embodiment, the position of the ionization region is determined, and then based on the position of the ionization region, historical control parameters and historical exhaust gas parameters corresponding to historical vortex regions whose overlap with the ionization region is greater than a first threshold value are determined, thereby obtaining multiple arrays; and the established feedforward neural network model is trained using multiple arrays, which can ensure that the target model that can accurately predict the control parameters based on the exhaust gas parameters is obtained, providing a relatively accurate model structure for subsequent accurate control of the vortex actuator so that the ionization region and the vortex region in the airflow channel at least partially overlap, and further ensuring that the subsequent control of the vortex actuator based on the control parameters output by the target model can improve the purification effect of the exhaust gas.

[0098] The feedforward neural network model is a hierarchical neural network model with the advantages of simple structure, easy implementation and powerful data processing capability. Figure 5 As shown, the input of the feedforward neural network model includes exhaust gas flow rate V, exhaust gas temperature T and exhaust gas pressure P; the output of the feedforward neural network model includes the reciprocating frequency f and amplitude A of the vortex exciter. The feedforward neural network model has 5-8 layers, and each layer includes 5-10 units. The trained feedforward neural network can be used for online control of the system. The exhaust gas flow rate V, exhaust gas temperature T, and exhaust gas pressure P measured by the sensor are used as model inputs, and the output obtained is the reciprocating frequency f and amplitude A of the vortex exciter.

[0099] Furthermore, the first determination unit may include: a first acquisition module for acquiring the electric potential of multiple regions in the airflow channel; a first determination module for determining the electric field strength of the multiple regions based on the electric potential; and a second determination module for determining that the region corresponding to the electric field strength greater than a second threshold is the ionization region based on the multiple electric field strengths. In this way, a more accurate position of the ionization region can be obtained.

[0100] Among them, those skilled in the art can choose any appropriate method to obtain the electric potential of each of the regions. For example, the electric potential of each region in the air flow channel can be tested by a probe. The method for determining the electric field strength according to the electric potential can be: according to the formula The electric field strength is obtained, wherein E is the electric field strength, is the potential, is the gradient operator.

[0101] The second threshold value can be determined by whether obvious discharge occurs in a given area. The specific method is: under specific working conditions, the electric field strength of the dielectric barrier discharge exhaust gas treatment equipment is gradually increased. If obvious discharge occurs in a given area, it is considered that the second threshold value has been reached. The electric field strength at this time is the specific value of the second threshold value. Whether obvious discharge occurs can be determined by observing whether obvious glow is generated by a high-speed camera.

[0102] According to some optional embodiments of the present application, the second determining unit may include:

[0103] A second acquisition module is used to acquire a plurality of initial arrays, wherein the initial arrays include an initial exhaust gas flow rate, an initial exhaust gas temperature, an initial exhaust gas pressure, an initial reciprocating frequency, and an initial amplitude;

[0104] A first calculation module is used to calculate the vortex areas corresponding to the multiple initial arrays to obtain multiple preliminary vortex areas;

[0105] A third determination module is used to determine the overlap between each of the preparatory vortex regions and the ionization region;

[0106] The fourth determination module is used to determine that the preparatory vortex area whose overlap degree is greater than a second threshold is the historical vortex area, and the initial array corresponding to the historical vortex area is the array, to obtain a predetermined number of the arrays.

[0107] In the embodiment, a plurality of initial arrays consisting of an initial exhaust flow rate, an initial exhaust temperature, an initial exhaust pressure, an initial reciprocating frequency and an initial amplitude are first obtained; then the positions of the preliminary vortex regions corresponding to the initial arrays are respectively calculated; finally, the initial array corresponding to the preliminary vortex regions satisfying the degree of overlap with the ionization region being greater than a second threshold value is determined to be the array, thereby ensuring the accuracy and scalability of the model training set, so that the model trained with the training set can output accurate control parameters according to the input exhaust parameters, thereby further ensuring that the exhaust treatment effect of the dielectric barrier discharge exhaust treatment equipment is better, and further avoiding the problem of environmental pollution caused by insufficient exhaust treatment.

[0108] Specifically, multiple different initial exhaust gas parameters and multiple different initial control parameters can be set, and any initial exhaust gas parameter and any initial control parameter can be combined to obtain multiple initial arrays, wherein, when two initial exhaust gas parameters are compared, at least one of the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure is different; when two initial control parameters are compared, at least one of the initial reciprocating frequency and the initial amplitude is different.

[0109] According to some other optional embodiments of the present application, the second determining unit may further include:

[0110] A first control module, used for the control step, while keeping the initial exhaust gas parameters unchanged, adjusting at least one of the initial reciprocating frequency and the initial amplitude for multiple times, to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, the initial exhaust gas parameters including the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure, the initial exhaust gas parameters including the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure;

[0111] Specifically, one of the initial arrays includes one of the initial exhaust gas parameters and one of the initial control parameters before or after adjustment. In a plurality of the initial arrays, the initial exhaust gas parameters are the same, and the initial control parameters are different.

[0112] A second calculation module is used for the calculation step to calculate the vortex areas corresponding to the multiple initial arrays to obtain multiple preliminary vortex areas;

[0113] A fifth determination module, used in the first determination step, to determine the overlap between each of the preparatory vortex regions and the ionization region;

[0114] A sixth determination module, used in the second determination step, determines that the preparatory vortex region with the largest overlap is the historical vortex region, and the initial array corresponding to the historical vortex region constitutes the array;

[0115] An adjustment module is used for adjusting the step, adjusting at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust gas pressure, and cyclically executing the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

[0116] Specifically, at least one of the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure is adjusted to obtain an adjusted initial exhaust gas parameter, and the control step, the calculation step, the first determination step and the second determination step are cyclically performed, that is, the adjusted initial exhaust gas parameter is controlled to remain unchanged, and the initial control parameter is readjusted to obtain an array corresponding to the historical vortex area. In other words, the control step, the calculation step, the first determination step and the second determination step are cyclically performed once to obtain the array.

[0117] In the embodiment, the initial exhaust gas flow rate, the initial exhaust gas temperature and the exhaust gas pressure are first kept unchanged, and at least one of the initial frequency and the initial amplitude is continuously adjusted to obtain multiple initial arrays, and the preliminary vortex areas corresponding to these initial arrays are determined, and the preliminary vortex areas with a high degree of overlap with the ionization area are determined as historical vortex areas, thereby selecting an array from the multiple initial arrays; after adjusting at least one of the initial exhaust gas flow rate, the initial exhaust gas temperature and the exhaust gas pressure, the process is looped until a predetermined number of arrays are obtained, thereby ensuring the accuracy and scalability of the model training set, so that the model trained with the training set can output accurate control parameters according to the input exhaust gas parameters, thereby further ensuring that the exhaust gas treatment effect of the dielectric barrier discharge exhaust gas treatment equipment is better, and further avoiding the problem of insufficient exhaust gas treatment causing environmental pollution.

[0118] Of course, in addition to the described method, in other embodiments, the initial frequency and the initial amplitude may be kept unchanged, and at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the exhaust gas pressure may be continuously adjusted to obtain multiple initial arrays, and the preliminary vortex areas corresponding to these initial arrays may be determined, and the preliminary vortex areas with a high degree of overlap with the ionization area may be determined as the historical vortex areas, thereby selecting an array from the multiple initial arrays; and after adjusting at least one of the initial frequency and the initial amplitude, the process may be executed in a loop until a predetermined number of arrays are obtained.

[0119] In order to further achieve more accurate and rapid acquisition of the overlap between the preparatory vortex region and the ionization region, optionally, the third determination module and the fifth determination module both include: according to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

[0120] In some other optional embodiments, the first calculation module and the second calculation module both include: an establishment submodule, which is used to establish an initial numerical model using the Navier-Stokes equation according to the exhaust gas flow rate, the exhaust gas temperature and the exhaust gas pressure, and the initial numerical model is a numerical model of the gas flow in the airflow channel; an addition submodule, which is used to add the reciprocating frequency and the amplitude as external excitation conditions to the initial numerical model to obtain a numerical model; a calculation submodule, which is used to perform numerical simulation calculations on the numerical model to obtain the gas flow field conditions in the airflow channel; a determination submodule, which is used to determine the vortex amount of multiple preparatory vortex areas according to the gas flow field conditions, and the vortex amount characterizes the distribution of the preparatory vortex areas in the airflow channel. The position of the preparatory vortex area is obtained by the flow field calculation method, which can ensure that the position of the preparatory vortex area obtained is more matched with the actual working condition corresponding to the initial array, further ensuring the position accuracy of the preparatory vortex area, and providing a more accurate data basis for the subsequent calculation of the overlap.

[0121] Specifically, Figure 2 and Figure 4 As shown, the vortex exciter 11 includes a vortex excitation blade 17 and a rotating shaft 18, and the vortex excitation blade 17 is connected to the rotating shaft 18. The control unit includes: a second control module, which is used to control the rotating shaft to rotate according to the reciprocating frequency and vibrate according to the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate. In the embodiment, the vortex excitation blade is driven by the rotating shaft to reciprocate at the reciprocating frequency and vibrate at the amplitude, so that the vortex path and vortex size in the exhaust gas field of the airflow channel can be effectively controlled, so that the generated vortex area is at least partially overlapped with the ionization area in the airflow channel, further improving the discharge efficiency and conversion efficiency of the dielectric barrier discharge exhaust gas treatment equipment, further reducing the energy loss of the dielectric barrier discharge exhaust gas treatment equipment, thereby further enhancing the exhaust gas treatment effect and reducing the impact of harmful substances in the exhaust gas on the environment.

[0122] The vortex excitation blade 17 and the rotating shaft 18 can be mechanically connected by bolts, etc. The rotation and vibration of the rotating shaft 18 are transmitted to the vortex excitation blade 17.

[0123] The control device of the dielectric barrier discharge tail gas treatment equipment includes a processor and a memory, and the acquisition unit, the analysis unit, and the control unit are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize the corresponding functions. The modules are all located in the same processor; or, the modules are located in different processors in any combination.

[0124] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be provided, and the problem of insufficient exhaust gas treatment and environmental pollution of the dielectric barrier discharge exhaust gas treatment equipment in the prior art can be solved by adjusting the kernel parameters.

[0125] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0126] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is run, the device where the computer-readable storage medium is located is controlled to execute the control method of the dielectric barrier discharge exhaust gas treatment device.

[0127] Specifically, the control method of the dielectric barrier discharge tail gas treatment equipment includes:

[0128] Step S201, obtaining exhaust gas parameters entering the air flow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure;

[0129] Specifically, the exhaust gas flow rate is the flow rate of the exhaust gas entering the airflow channel, the exhaust gas temperature is the temperature of the exhaust gas entering the airflow channel, and the exhaust gas pressure is the pressure of the exhaust gas discharged into the airflow channel, also called exhaust pressure.

[0130] Step S202, using a target model to analyze the exhaust gas parameters to determine control parameters of the vortex exciter, the control parameters including reciprocating frequency and amplitude, the target model is trained by machine learning using multiple arrays, each of the multiple arrays including: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, the historical exhaust gas parameters including historical exhaust gas flow, historical exhaust gas temperature and historical exhaust gas pressure, and the historical control parameters including historical reciprocating frequency and historical amplitude;

[0131] Specifically, the exhaust gas parameters are input into the target model, and the target model outputs the corresponding control parameters. The reciprocating frequency is the frequency at which the vortex exciter performs reciprocating motion. The vortex exciter is also called a vortex generator, which is used to perform reciprocating motion in the airflow channel to generate vortices in the airflow channel to form a vortex area. The position of the vortex area formed in the airflow channel can be determined based on the historical control parameters and the historical exhaust gas parameters, and the position of the historical vortex area corresponding to the historical control parameters and the historical exhaust gas parameters satisfies: the ionization area in the airflow channel is at least partially located in the historical vortex area.

[0132] Step S203: Control the vortex actuator to operate with the control parameters so that at least part of the ionization region in the airflow channel is located in the vortex region formed by the vortex actuator.

[0133] Specifically, the ionization region is the gas region ionized during the discharge process of the dielectric barrier discharge tail gas device, also called the discharge region, which is the region with a strong electric field in the airflow channel and is also the region where active particles are generated. The vortex region is the region where the vortex is located, which is a region in the airflow channel with high turbulence and large diffusion coefficient. When the ionization region and the vortex region at least partially overlap, active particles such as ions and free radical substances generated by the discharge can be diffused into the tail gas in a timely manner.

[0134] Optionally, before using the target model to analyze the exhaust gas parameters and determine the control parameters of the vortex exciter, the method also includes: determining the ionization area; determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas to obtain multiple arrays, and the overlap between the historical vortex areas and the ionization areas is greater than a first threshold; establishing a feedforward neural network model; using the historical exhaust gas parameters as the input of the feedforward neural network model, using the historical control parameters as the output of the feedforward neural network model, and using multiple arrays to train the feedforward neural network model to obtain the target model.

[0135] Optionally, determining the ionization area includes: acquiring electric potentials of multiple areas in the airflow channel; determining electric field strengths of the multiple areas based on the electric potentials; and determining, based on the multiple electric field strengths, that the area corresponding to the electric field strength greater than a second threshold is the ionization area.

[0136] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: obtaining multiple initial arrays, the initial array including initial exhaust gas flow, initial exhaust gas temperature, initial exhaust gas pressure, initial reciprocating frequency and initial amplitude; calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; determining the degree of overlap between each of the preparatory vortex areas and the ionization area; determining the preparatory vortex area whose overlap is greater than a second threshold as the historical vortex area, and the initial array corresponding to the historical vortex area as the array, to obtain a predetermined number of the arrays.

[0137] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: a control step, while keeping the initial exhaust gas parameters unchanged, adjusting at least one of the initial reciprocating frequency and the initial amplitude for multiple times to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure; a calculation step, calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; a first determination step, determining the overlap between each of the preparatory vortex areas and the ionization area; a second determination step, determining the preparatory vortex area with the largest overlap as the historical vortex area, and the initial arrays corresponding to the historical vortex areas constitute the array; an adjustment step, adjusting at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust pressure, and cyclically executing the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

[0138] Optionally, determining the overlap between each of the preparatory vortex regions and the ionization region comprises: according to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

[0139] Optionally, multiple vortex areas corresponding to the initial arrays are calculated to obtain multiple preliminary vortex areas, including: according to the exhaust gas flow, the exhaust gas temperature and the exhaust gas pressure, an initial numerical model is established using the Navier-Stokes equations, and the initial numerical model is a numerical model of the gas flow in the airflow channel; the reciprocating frequency and the amplitude are added to the initial numerical model as external excitation conditions to obtain a numerical model; numerical simulation calculations are performed on the numerical model to obtain the gas flow field conditions in the airflow channel; according to the gas flow field conditions, the vortex amount of the multiple preliminary vortex areas is determined, and the vortex amount characterizes the distribution of the preliminary vortex areas in the airflow channel.

[0140] Optionally, the vortex exciter includes vortex exciter blades and a rotating shaft, and the vortex exciter blades are connected to the rotating shaft. Controlling the vortex exciter to operate with the control parameters includes: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex exciter blades to reciprocate and vibrate.

[0141] An embodiment of the present invention provides a processor, which is used to run a program, wherein the control method of the dielectric barrier discharge tail gas treatment equipment is executed when the program is run.

[0142] Specifically, the control method of the dielectric barrier discharge tail gas treatment equipment includes:

[0143] Step S201, obtaining exhaust gas parameters entering the air flow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure;

[0144] Specifically, the exhaust gas flow rate is the flow rate of the exhaust gas entering the airflow channel, the exhaust gas temperature is the temperature of the exhaust gas entering the airflow channel, and the exhaust gas pressure is the pressure of the exhaust gas discharged into the airflow channel, also called exhaust pressure.

[0145] Step S202, using a target model to analyze the exhaust gas parameters to determine control parameters of the vortex exciter, the control parameters including reciprocating frequency and amplitude, the target model is trained by machine learning using multiple arrays, each of the multiple arrays including: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, the historical exhaust gas parameters including historical exhaust gas flow, historical exhaust gas temperature and historical exhaust gas pressure, and the historical control parameters including historical reciprocating frequency and historical amplitude;

[0146] Specifically, the exhaust gas parameters are input into the target model, and the target model outputs the corresponding control parameters. The reciprocating frequency is the frequency at which the vortex exciter performs reciprocating motion. The vortex exciter is also called a vortex generator, which is used to perform reciprocating motion in the airflow channel to generate vortices in the airflow channel to form a vortex area. The position of the vortex area formed in the airflow channel can be determined based on the historical control parameters and the historical exhaust gas parameters, and the position of the historical vortex area corresponding to the historical control parameters and the historical exhaust gas parameters satisfies: the ionization area in the airflow channel is at least partially located in the historical vortex area.

[0147] Step S203: Control the vortex actuator to operate with the control parameters so that at least part of the ionization region in the airflow channel is located in the vortex region formed by the vortex actuator.

[0148] Specifically, the ionization region is the gas region ionized during the discharge process of the dielectric barrier discharge tail gas device, also called the discharge region, which is the region with a strong electric field in the airflow channel and is also the region where active particles are generated. The vortex region is the region where the vortex is located, which is a region in the airflow channel with high turbulence and large diffusion coefficient. When the ionization region and the vortex region at least partially overlap, active particles such as ions and free radical substances generated by the discharge can be diffused into the tail gas in a timely manner.

[0149] Optionally, before using the target model to analyze the exhaust gas parameters and determine the control parameters of the vortex exciter, the method also includes: determining the ionization area; determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas to obtain multiple arrays, and the overlap between the historical vortex areas and the ionization areas is greater than a first threshold; establishing a feedforward neural network model; using the historical exhaust gas parameters as the input of the feedforward neural network model, using the historical control parameters as the output of the feedforward neural network model, and using multiple arrays to train the feedforward neural network model to obtain the target model.

[0150] Optionally, determining the ionization area includes: acquiring electric potentials of multiple areas in the airflow channel; determining electric field strengths of the multiple areas based on the electric potentials; and determining, based on the multiple electric field strengths, that the area corresponding to the electric field strength greater than a second threshold is the ionization area.

[0151] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: obtaining multiple initial arrays, the initial array including initial exhaust gas flow, initial exhaust gas temperature, initial exhaust gas pressure, initial reciprocating frequency and initial amplitude; calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; determining the degree of overlap between each of the preparatory vortex areas and the ionization area; determining the preparatory vortex area whose overlap is greater than a second threshold as the historical vortex area, and the initial array corresponding to the historical vortex area as the array, to obtain a predetermined number of the arrays.

[0152] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: a control step, while keeping the initial exhaust gas parameters unchanged, adjusting at least one of the initial reciprocating frequency and the initial amplitude for multiple times to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure; a calculation step, calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; a first determination step, determining the overlap between each of the preparatory vortex areas and the ionization area; a second determination step, determining the preparatory vortex area with the largest overlap as the historical vortex area, and the initial arrays corresponding to the historical vortex areas constitute the array; an adjustment step, adjusting at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust pressure, and cyclically executing the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

[0153] Optionally, determining the overlap between each of the preparatory vortex regions and the ionization region comprises: according to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

[0154] Optionally, multiple vortex areas corresponding to the initial arrays are calculated to obtain multiple preliminary vortex areas, including: according to the exhaust gas flow, the exhaust gas temperature and the exhaust gas pressure, an initial numerical model is established using the Navier-Stokes equations, and the initial numerical model is a numerical model of the gas flow in the airflow channel; the reciprocating frequency and the amplitude are added to the initial numerical model as external excitation conditions to obtain a numerical model; numerical simulation calculations are performed on the numerical model to obtain the gas flow field conditions in the airflow channel; according to the gas flow field conditions, the vortex amount of the multiple preliminary vortex areas is determined, and the vortex amount characterizes the distribution of the preliminary vortex areas in the airflow channel.

[0155] Optionally, the vortex exciter includes vortex exciter blades and a rotating shaft, and the vortex exciter blades are connected to the rotating shaft. Controlling the vortex exciter to operate with the control parameters includes: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex exciter blades to reciprocate and vibrate.

[0156] An embodiment of the present invention provides a vehicle, including:

[0157] like Figure 2 The shown dielectric barrier discharge tail gas treatment device comprises an air flow channel 10 and a vortex exciter 11, wherein the vortex exciter 11 is located in the air flow channel 10;

[0158] The controller includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, at least the following steps are implemented:

[0159] Step S201, obtaining exhaust gas parameters entering the air flow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure;

[0160] Specifically, the exhaust gas flow rate is the flow rate of the exhaust gas entering the airflow channel, the exhaust gas temperature is the temperature of the exhaust gas entering the airflow channel, and the exhaust gas pressure is the pressure of the exhaust gas discharged into the airflow channel, also called exhaust pressure.

[0161] Step S202, using a target model to analyze the exhaust gas parameters to determine control parameters of the vortex exciter, the control parameters including reciprocating frequency and amplitude, the target model is trained by machine learning using multiple arrays, each of the multiple arrays including: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, the historical exhaust gas parameters including historical exhaust gas flow, historical exhaust gas temperature and historical exhaust gas pressure, and the historical control parameters including historical reciprocating frequency and historical amplitude;

[0162] Specifically, the exhaust gas parameters are input into the target model, and the target model outputs the corresponding control parameters. The reciprocating frequency is the frequency at which the vortex exciter performs reciprocating motion. The vortex exciter is also called a vortex generator, which is used to perform reciprocating motion in the airflow channel to generate vortices in the airflow channel to form a vortex area. The position of the vortex area formed in the airflow channel can be determined based on the historical control parameters and the historical exhaust gas parameters, and the position of the historical vortex area corresponding to the historical control parameters and the historical exhaust gas parameters satisfies: the ionization area in the airflow channel is at least partially located in the historical vortex area.

[0163] Step S203: Control the vortex actuator to operate with the control parameters so that at least part of the ionization region in the airflow channel is located in the vortex region formed by the vortex actuator.

[0164] Specifically, the ionization region is the gas region ionized during the discharge process of the dielectric barrier discharge tail gas device, also called the discharge region, which is the region with a strong electric field in the airflow channel and is also the region where active particles are generated. The vortex region is the region where the vortex is located, which is a region in the airflow channel with high turbulence and large diffusion coefficient. When the ionization region and the vortex region at least partially overlap, active particles such as ions and free radical substances generated by the discharge can be diffused into the tail gas in a timely manner.

[0165] The controller in this article can be a server, PC, PAD, mobile phone, etc.

[0166] Optionally, before using the target model to analyze the exhaust gas parameters and determine the control parameters of the vortex exciter, the method also includes: determining the ionization area; determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas to obtain multiple arrays, and the overlap between the historical vortex areas and the ionization areas is greater than a first threshold; establishing a feedforward neural network model; using the historical exhaust gas parameters as the input of the feedforward neural network model, using the historical control parameters as the output of the feedforward neural network model, and using multiple arrays to train the feedforward neural network model to obtain the target model.

[0167] Optionally, determining the ionization area includes: acquiring electric potentials of multiple areas in the airflow channel; determining electric field strengths of the multiple areas based on the electric potentials; and determining, based on the multiple electric field strengths, that the area corresponding to the electric field strength greater than a second threshold is the ionization area.

[0168] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: obtaining multiple initial arrays, the initial array including initial exhaust gas flow, initial exhaust gas temperature, initial exhaust gas pressure, initial reciprocating frequency and initial amplitude; calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; determining the degree of overlap between each of the preparatory vortex areas and the ionization area; determining the preparatory vortex area whose overlap is greater than a second threshold as the historical vortex area, and the initial array corresponding to the historical vortex area as the array, to obtain a predetermined number of the arrays.

[0169] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: a control step, while keeping the initial exhaust gas parameters unchanged, adjusting at least one of the initial reciprocating frequency and the initial amplitude for multiple times to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure; a calculation step, calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; a first determination step, determining the overlap between each of the preparatory vortex areas and the ionization area; a second determination step, determining the preparatory vortex area with the largest overlap as the historical vortex area, and the initial arrays corresponding to the historical vortex areas constitute the array; an adjustment step, adjusting at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust pressure, and cyclically executing the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

[0170] Optionally, determining the overlap between each of the preparatory vortex regions and the ionization region comprises: according to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

[0171] Optionally, multiple vortex areas corresponding to the initial arrays are calculated to obtain multiple preliminary vortex areas, including: according to the exhaust gas flow, the exhaust gas temperature and the exhaust gas pressure, an initial numerical model is established using the Navier-Stokes equations, and the initial numerical model is a numerical model of the gas flow in the airflow channel; the reciprocating frequency and the amplitude are added to the initial numerical model as external excitation conditions to obtain a numerical model; numerical simulation calculations are performed on the numerical model to obtain the gas flow field conditions in the airflow channel; according to the gas flow field conditions, the vortex amount of the multiple preliminary vortex areas is determined, and the vortex amount characterizes the distribution of the preliminary vortex areas in the airflow channel.

[0172] Optionally, the vortex exciter includes vortex exciter blades and a rotating shaft, and the vortex exciter blades are connected to the rotating shaft. Controlling the vortex exciter to operate with the control parameters includes: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex exciter blades to reciprocate and vibrate.

[0173] The present application also provides a computer program product, including computer instructions, which, when executed by a processor, implement at least the following method steps:

[0174] Step S201, obtaining exhaust gas parameters entering the air flow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure;

[0175] Step S202, using a target model to analyze the exhaust gas parameters to determine control parameters of the vortex exciter, the control parameters including reciprocating frequency and amplitude, the target model is trained by machine learning using multiple arrays, each of the multiple arrays including: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, the historical exhaust gas parameters including historical exhaust gas flow, historical exhaust gas temperature and historical exhaust gas pressure, and the historical control parameters including historical reciprocating frequency and historical amplitude;

[0176] Step S203: Control the vortex actuator to operate with the control parameters so that at least part of the ionization region in the airflow channel is located in the vortex region formed by the vortex actuator.

[0177] Optionally, before using the target model to analyze the exhaust gas parameters and determine the control parameters of the vortex exciter, the method also includes: determining the ionization area; determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas to obtain multiple arrays, and the overlap between the historical vortex areas and the ionization areas is greater than a first threshold; establishing a feedforward neural network model; using the historical exhaust gas parameters as the input of the feedforward neural network model, using the historical control parameters as the output of the feedforward neural network model, and using multiple arrays to train the feedforward neural network model to obtain the target model.

[0178] Optionally, determining the ionization area includes: acquiring electric potentials of multiple areas in the airflow channel; determining electric field strengths of the multiple areas based on the electric potentials; and determining, based on the multiple electric field strengths, that the area corresponding to the electric field strength greater than a second threshold is the ionization area.

[0179] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: obtaining multiple initial arrays, the initial array including initial exhaust gas flow, initial exhaust gas temperature, initial exhaust gas pressure, initial reciprocating frequency and initial amplitude; calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; determining the degree of overlap between each of the preparatory vortex areas and the ionization area; determining the preparatory vortex area whose overlap is greater than a second threshold as the historical vortex area, and the initial array corresponding to the historical vortex area as the array, to obtain a predetermined number of the arrays.

[0180] Optionally, determining the historical exhaust gas parameters and the historical control parameters corresponding to multiple historical vortex areas includes: a control step, while keeping the initial exhaust gas parameters unchanged, adjusting at least one of the initial reciprocating frequency and the initial amplitude for multiple times to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure, the initial exhaust gas parameters including initial exhaust gas flow, initial exhaust gas temperature and initial exhaust gas pressure; a calculation step, calculating the vortex areas corresponding to the multiple initial arrays to obtain multiple preparatory vortex areas; a first determination step, determining the overlap between each of the preparatory vortex areas and the ionization area; a second determination step, determining the preparatory vortex area with the largest overlap as the historical vortex area, and the initial arrays corresponding to the historical vortex areas constitute the array; an adjustment step, adjusting at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust pressure, and cyclically executing the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

[0181] Optionally, determining the overlap between each of the preparatory vortex regions and the ionization region comprises: according to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

[0182] Optionally, multiple vortex areas corresponding to the initial arrays are calculated to obtain multiple preliminary vortex areas, including: according to the exhaust gas flow, the exhaust gas temperature and the exhaust gas pressure, an initial numerical model is established using the Navier-Stokes equations, and the initial numerical model is a numerical model of the gas flow in the airflow channel; the reciprocating frequency and the amplitude are added to the initial numerical model as external excitation conditions to obtain a numerical model; numerical simulation calculations are performed on the numerical model to obtain the gas flow field conditions in the airflow channel; according to the gas flow field conditions, the vortex amount of the multiple preliminary vortex areas is determined, and the vortex amount characterizes the distribution of the preliminary vortex areas in the airflow channel.

[0183] Optionally, the vortex exciter includes vortex exciter blades and a rotating shaft, and the vortex exciter blades are connected to the rotating shaft. Controlling the vortex exciter to operate with the control parameters includes: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex exciter blades to reciprocate and vibrate.

[0184] Obviously, those skilled in the art should understand that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0185] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0186] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0187] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0188] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0189] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0190] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0191] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0192] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including 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, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0193] From the above description, it can be seen that the embodiments described in this application achieve the following technical effects:

[0194] The present application sets a vortex generator in the air flow channel of the dielectric barrier discharge exhaust gas treatment equipment, increases the turbulence of the exhaust gas in the air flow channel, analyzes the exhaust gas parameters such as exhaust flow, temperature and pressure through a target model, determines the control parameters such as the reciprocating frequency and amplitude of the vortex generator, and thus controls the vortex generator to operate with the control parameters, so that the ionization area and the vortex area at least partially overlap, so that the active particles such as ions and free radical substances generated by the discharge can be diffused into the entire exhaust gas in a timely manner, so that the active particles can effectively interact with the harmful substances in the exhaust gas, thereby improving the cleaning effect of the dielectric barrier discharge exhaust gas treatment equipment on the harmful substances in the exhaust gas, reducing the emission of harmful substances, and alleviating the impact of the emission of harmful substances on the environment.

[0195] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A control method for a dielectric barrier discharge tail gas treatment device, characterized in that: The dielectric barrier discharge tail gas treatment device comprises an air flow channel and a vortex exciter, wherein the vortex exciter is located in the air flow channel, and the method comprises: Acquiring exhaust gas parameters entering the airflow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure; Analyze the exhaust gas parameters using a target model to determine control parameters of the vortex exciter, wherein the control parameters include reciprocating frequency and amplitude, and the target model is trained by machine learning using multiple arrays, wherein each of the multiple arrays includes: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, wherein the historical exhaust gas parameters include historical exhaust gas flow, historical exhaust gas temperature, and historical exhaust gas pressure, and the historical control parameters include historical reciprocating frequency and historical amplitude; The vortex actuator is controlled to operate with the control parameters so that at least a portion of the ionization region in the air flow channel is located in the vortex region formed by the vortex actuator.

2. The method according to claim 1, characterized in that Before analyzing the exhaust gas parameters using the target model to determine the control parameters of the vortex actuator, the method further includes: determining the ionization region; Determine the historical exhaust gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions to obtain a plurality of arrays, wherein the overlap between the historical vortex regions and the ionization regions is greater than a first threshold; Build a feedforward neural network model; The historical exhaust gas parameters are used as the input of the feedforward neural network model, the historical control parameters are used as the output of the feedforward neural network model, and a plurality of the arrays are used to train the feedforward neural network model to obtain the target model.

3. The method according to claim 2, characterized in that Determining the ionization region comprises: acquiring electric potentials of a plurality of regions in the air flow channel; determining electric field strengths of a plurality of the regions according to the electric potential; According to the multiple electric field strengths, the area corresponding to the electric field strength greater than a second threshold is determined as the ionization area.

4. The method according to claim 2, characterized in that: Determining the historical exhaust gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions includes: Acquire a plurality of initial arrays, wherein the initial arrays include an initial exhaust gas flow rate, an initial exhaust gas temperature, an initial exhaust gas pressure, an initial reciprocating frequency, and an initial amplitude; Calculating the vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions; Determining the degree of overlap between each of the preparatory vortex regions and the ionization region; The preparatory vortex region whose overlap degree is greater than a second threshold is determined to be the historical vortex region, and the initial array corresponding to the historical vortex region is the array, so as to obtain a predetermined number of the arrays.

5. The method according to claim 2, characterized in that: Determining the historical exhaust gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions includes: A control step, while keeping the initial exhaust gas parameters unchanged, adjusting at least one of the initial reciprocating frequency and the initial amplitude for multiple times to obtain multiple initial arrays including the initial exhaust gas parameters and initial control parameters, the initial exhaust gas parameters including the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure, the initial exhaust gas parameters including the initial exhaust gas flow rate, the initial exhaust gas temperature and the initial exhaust gas pressure; A calculation step, calculating the vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions; A first determining step is to determine the overlap between each of the preparatory vortex regions and the ionization region; A second determination step is to determine that the preparatory vortex region with the largest overlap is the historical vortex region, and the initial array corresponding to the historical vortex region constitutes the array; An adjustment step is to adjust at least one of the initial exhaust gas flow, the initial exhaust gas temperature and the initial exhaust gas pressure, and to loop the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of the arrays are obtained.

6. The method according to claim 4 or 5, characterized in that: Determining the overlap between each of the preparatory vortex regions and the ionization region comprises: According to the formula Determine the overlap, where s is the overlap, E is the electric field strength of the ionization region, ω is the vortex amount of the preparatory vortex region, dV is the spatial region element where the integral is located, and dt is the time element.

7. The method according to claim 4 or 5, characterized in that: Calculating the vortex regions corresponding to the multiple initial arrays to obtain multiple preliminary vortex regions includes: According to the exhaust gas flow rate, the exhaust gas temperature and the exhaust gas pressure, an initial numerical model is established using the Navier-Stokes equation, wherein the initial numerical model is a numerical model of the gas flow in the gas flow channel; Adding the reciprocating frequency and the amplitude as external excitation conditions into the initial numerical model to obtain a numerical model; Performing numerical simulation calculation on the numerical model to obtain the gas flow field condition in the gas flow channel; According to the gas flow field condition, the vortex amounts of the plurality of the preliminary vortex regions are determined, and the vortex amounts represent the distribution of the preliminary vortex regions in the gas flow channel.

8. The method according to claim 1, characterized in that The vortex actuator comprises a vortex excitation blade and a rotating shaft, wherein the vortex excitation blade is connected to the rotating shaft, and controlling the vortex actuator to operate with the control parameters comprises: The rotating shaft is controlled to rotate according to the reciprocating frequency and vibrate according to the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate.

9. A control device for a dielectric barrier discharge tail gas treatment device, characterized in that: The dielectric barrier discharge tail gas treatment device comprises an air flow channel and a vortex exciter, wherein the vortex exciter is located in the air flow channel, and the device comprises: An acquisition unit, used for acquiring exhaust gas parameters entering the airflow channel, wherein the exhaust gas parameters include exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure; A using unit, for analyzing the exhaust gas parameters using a target model to determine control parameters of a vortex exciter, wherein the control parameters include a reciprocating frequency and an amplitude, and the target model is trained by machine learning using a plurality of arrays, wherein each of the plurality of arrays includes: historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, wherein the historical exhaust gas parameters include historical exhaust gas flow, historical exhaust gas temperature, and historical exhaust gas pressure, and the historical control parameters include historical reciprocating frequency and historical amplitude; A control unit is used to control the vortex actuator to operate with the control parameters so that at least a portion of the ionization region in the air flow channel is located in the vortex region formed by the vortex actuator.

10. A vehicle, characterized in that: include: A dielectric barrier discharge tail gas treatment device comprises an airflow channel and a vortex exciter, wherein the vortex exciter is located in the airflow channel; A controller, comprising one or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of claims 1 to 8.

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