Method, device and vehicle for controlling a dielectric barrier discharge exhaust treatment apparatus

Abstract

The application provides a control method and device of a dielectric barrier discharge tail gas treatment equipment and a vehicle. The dielectric barrier discharge tail gas treatment equipment comprises an airflow channel and a vortex exciter located in the airflow channel. The method comprises: acquiring tail gas parameters input into the airflow channel, the tail gas parameters comprising tail gas flow, tail gas temperature and tail gas pressure; analyzing the tail gas parameters using a target model to determine control parameters of the vortex exciter, the control parameters comprising a reciprocating frequency and an amplitude, the target model being trained by machine learning using a plurality of arrays, each array comprising: historical tail gas parameters and historical control parameters corresponding to the historical tail gas parameters, the historical tail gas parameters comprising historical tail gas flow, historical tail gas temperature and historical tail gas pressure, and the historical control parameters comprising a historical reciprocating frequency and a historical amplitude; and controlling the vortex exciter to operate at the control parameters, so that at least part of an ionization region in the airflow channel is located in a vortex region formed by the vortex exciter.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tail gas treatment, in particular to a control method and device of a dielectric barrier discharge tail gas treatment equipment and a vehicle. BACKGROUND

[0002] Reducing harmful gas emissions of diesel engines is a hot issue of researchers.

[0003] A dielectric barrier discharge (DBD) equipment is filled with working gas between two discharge electrodes, and one or both electrodes are covered with insulating medium. When a high enough alternating voltage is applied between the two electrodes, the gas between the electrodes will be broken down to produce discharge, that is, dielectric barrier discharge. The active substances produced by discharge can be used to treat diesel engine tail gas.

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

[0005] The main purpose of the present application is to provide a control method and device of a dielectric barrier discharge tail gas treatment equipment and a vehicle to at least solve the problem of insufficient treatment of tail gas and environmental pollution of the existing dielectric barrier discharge tail gas treatment equipment.

[0006] In order to achieve the above purpose, according to one aspect of the present application, a control method of a dielectric barrier discharge tail gas treatment equipment is provided, the dielectric barrier discharge tail gas treatment equipment comprising a gas flow channel and a vortex exciter, the vortex exciter being located in the gas flow channel, the method comprising: acquiring tail gas parameters input into the gas flow channel, the tail gas parameters comprising tail gas flow, tail gas temperature and tail gas pressure; analyzing the tail gas parameters using a target model to determine control parameters of the vortex exciter, the control parameters comprising reciprocating frequency and amplitude, the target model being trained by machine learning using a plurality of arrays, each of the plurality of arrays comprising: historical tail gas parameters and historical control parameters corresponding to the historical tail gas parameters, the historical tail gas parameters comprising historical tail gas flow, historical tail gas temperature and historical tail gas pressure, the historical control parameters comprising historical reciprocating frequency and historical amplitude; controlling the vortex exciter to operate at the control parameters, so that at least part of an ionization region in the gas flow channel is located in a vortex region formed by the vortex exciter.

[0007] Optionally, before analyzing the exhaust parameters using the target model to determine the control parameters of the vortex exciter, the method further comprises: determining the ionization region; determining the historical exhaust parameters and the historical control parameters corresponding to a plurality of historical vortex regions, to obtain a plurality of the arrays, the overlap degree of the historical vortex region and the ionization region being greater than a first threshold; establishing a feedforward neural network model; taking the historical exhaust parameters as the input of the feedforward neural network model and taking the historical control parameters as the output of the feedforward neural network model; training the feedforward neural network model using a plurality of the arrays to obtain the target model.

[0008] Optionally, determining the ionization region comprises: obtaining the electric potential of a plurality of regions in the airflow channel; determining the electric field intensity of a plurality of the regions according to the electric potential; and determining the region corresponding to the electric field intensity greater than a second threshold as the ionization region according to a plurality of the electric field intensities.

[0009] Optionally, determining the historical exhaust parameters and the historical control parameters corresponding to a plurality of historical vortex regions comprises: obtaining a plurality of initial arrays, the initial array comprising an initial exhaust flow rate, an initial exhaust temperature, an initial exhaust pressure, an initial reciprocating frequency and an initial amplitude; calculating the vortex region corresponding to a plurality of the initial arrays to obtain a plurality of preliminary vortex regions; determining the overlap degree of each of the preliminary vortex regions and the ionization region; and determining the preliminary vortex region with the overlap degree greater than a second threshold as the historical vortex region, the initial array corresponding to the historical vortex region being the array, to obtain a predetermined number of the arrays.

[0010] Optionally, determining the historical exhaust parameters and the historical control parameters corresponding to a plurality of historical vortex regions comprises: a control step of adjusting at least one of the initial reciprocating frequency and the initial amplitude multiple times while keeping the initial exhaust parameters unchanged to obtain a plurality of initial arrays comprising the initial exhaust parameters and initial control parameters, the initial exhaust parameters comprising an initial exhaust flow rate, an initial exhaust temperature and an initial exhaust pressure; a calculation step of calculating the vortex region corresponding to a plurality of the initial arrays to obtain a plurality of preliminary vortex regions; a first determination step of determining the overlap degree of each of the preliminary vortex regions and the ionization region; a second determination step of determining the preliminary vortex region with the maximum overlap degree as the historical vortex region, the initial array corresponding to the historical vortex region constituting the array; and an adjustment step of adjusting at least one of the initial exhaust flow rate, the initial exhaust 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, the degree of coincidence of each of the preliminary vortex regions and the ionization region is determined according to the formula The degree of coincidence is determined according to the formula: s = ∫EωdVdt, wherein s is the degree of coincidence, E is the electric field intensity of the ionization region, ω is the vortex quantity of the preliminary vortex region, dV is a micro-element of a space region for integration, and dt is a time micro-element.

[0012] Optionally, the vortex regions corresponding to the plurality of initial arrays are calculated to obtain a plurality of preliminary vortex regions, including: establishing an initial numerical model according to the exhaust gas flow, the exhaust gas temperature and the exhaust gas pressure by using the Navier-Stokes equation, wherein the initial numerical model is a numerical model of gas flow in the gas flow passage; 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 a gas flow field condition in the gas flow passage; and determining vortex quantities of the plurality of preliminary vortex regions according to the gas flow field condition, wherein the vortex quantity represents a distribution condition of the preliminary vortex region in the gas flow passage.

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

[0014] According to another aspect of the present application, a control device of a dielectric barrier discharge tail gas treatment equipment is provided, the dielectric barrier discharge tail gas treatment equipment including a gas flow passage and a vortex exciter located in the gas flow passage, and the device including: an acquisition unit configured to acquire tail gas parameters input into the gas flow passage, wherein the tail gas parameters include an exhaust gas flow, an exhaust gas temperature and an exhaust gas pressure; a use unit configured to analyze the tail gas parameters using a target model to determine control parameters of the vortex exciter, wherein the control parameters include a reciprocating frequency and an amplitude, the target model is trained by machine learning using a plurality of arrays, each of the plurality of arrays includes: historical tail gas parameters and historical control parameters corresponding to the historical tail gas parameters, the historical tail 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; and a control unit configured to control the vortex exciter to operate at the control parameters, so that at least part of an ionization region in the gas flow passage is located in a vortex region formed by the vortex exciter.

[0015] According to still another aspect of the present application, there is provided a vehicle comprising: a dielectric barrier discharge exhaust treatment apparatus comprising a gas flow passage and a vortex exciter located in the gas flow passage; a controller comprising one or more processors, 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, the one or more programs comprising instructions for performing any of the methods.

[0016] By applying the technical solution of the present application, the vortex generator is arranged in the gas flow passage of the dielectric barrier discharge exhaust treatment apparatus, the turbulence degree of the exhaust gas in the gas flow passage is increased, the exhaust gas parameters such as the exhaust gas flow, temperature and pressure are analyzed by the target model, the control parameters such as the reciprocating frequency and amplitude of the vortex generator are determined, the vortex generator is controlled to operate at the control parameters, so that the ionization region and the vortex region at least partially overlap, so that the active particles such as ions and free radicals generated by the discharge can timely diffuse into the entire exhaust gas, so that the active particles effectively interact with the harmful substances in the exhaust gas, thereby improving the cleaning effect of the dielectric barrier discharge exhaust treatment apparatus on the harmful substances in the exhaust gas, reducing the emission of harmful substances, and alleviating the impact of harmful substance emission on the environment. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings, which form a part of the present description, are included to provide a further understanding of the application, and are incorporated in and constitute a part of this application. The embodiments of the present application, and their

[0018] Figure 1 A hardware structure block diagram of a mobile terminal for performing a control method of a dielectric barrier discharge exhaust treatment apparatus according to an embodiment of the present application is shown;

[0019] Figure 2 A structure schematic diagram of a dielectric barrier discharge exhaust treatment apparatus according to an embodiment of the present application is shown;

[0020] Figure 3 A flowchart of a control method of a dielectric barrier discharge exhaust treatment apparatus according to an embodiment of the present application is shown;

[0021] Figure 4 A position schematic diagram of a vortex region and an ionization region in a dielectric barrier discharge exhaust treatment apparatus according to an embodiment of the present application is shown;

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

[0023] Figure 6A structural block diagram of a control device of a dielectric barrier discharge tail gas treatment equipment is shown.

[0024] The accompanying drawings include the following figures:

[0025] 102, processor; 104, memory; 106, transmission device; 108, input and output device; 10, air flow channel; 11, vortex exciter; 12, vortex area; 13, ionization area; 14, first electrode; 15, second electrode; 16, air flow channel wall surface; 17, vortex excitation blade; 18, rotating shaft. DETAILED DESCRIPTION

[0026] It should be noted that the embodiments and features in the present application can be combined with each other without conflict. 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 described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the accompanying drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units need not be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0029] As introduced in the background, the existing dielectric barrier discharge tail gas treatment equipment is not sufficient for tail gas treatment, which pollutes the environment. To solve the above technical problems, the embodiments of the present application provide a dielectric barrier discharge tail gas treatment equipment control method, device and vehicle.

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

[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 This 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) a processor 102 (the processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0032] The memory 104 can be used to store computer programs, such as application software programs and modules, such as the computer program corresponding to the control method for the dielectric barrier discharge exhaust gas treatment device in the embodiment of the present invention. The processor 102 executes the computer program stored in the memory 104 to execute various functional applications and data processing, thereby implementing the described method. The memory 104 may include high-speed random access memory (RAM) and may also include 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 memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof. The transmission device 106 is used to receive or transmit data via a network. Specific examples of such networks may include a wireless network provided by the mobile terminal's telecommunications provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication 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] A control method of a dielectric barrier discharge exhaust treatment device running on a mobile terminal, a computer terminal or the like is provided in the embodiment. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical sequence is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0034] Figure 2 is a structural schematic diagram of a dielectric barrier discharge exhaust treatment device according to an embodiment of the present application. As shown in Figure 2 , the dielectric barrier discharge exhaust treatment device comprises an airflow channel 10 and a vortex exciter 11, the vortex exciter 11 is located in the airflow channel 10, and the airflow channel 10 is in communication with the exhaust port of the engine. Figure 3 is a flowchart of a control method of a dielectric barrier discharge exhaust treatment device according to an embodiment of the present application. As shown in Figure 3 , the method comprises the following steps:

[0035] Step S201, acquiring an exhaust parameter input into the airflow channel, the exhaust parameter comprising an exhaust flow, an exhaust temperature and an exhaust pressure;

[0036] Specifically, the exhaust flow is the flow of the exhaust input into the airflow channel, the exhaust temperature is the temperature of the exhaust input into the airflow channel, and the exhaust pressure is the pressure of the exhaust input into the airflow channel, also known as the exhaust pressure.

[0037] Step S202, using a target model to analyze the exhaust parameter, and determining a control parameter of the vortex exciter, the control parameter comprising a reciprocating frequency and an amplitude, the target model being trained by machine learning using a plurality of arrays, each of the plurality of 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, and the historical control parameters comprising historical reciprocating frequency and historical amplitude;

[0038] Specifically, the exhaust parameter is input into the target model, and the target model outputs the corresponding control parameter. The reciprocating frequency is the frequency of the reciprocating motion of the vortex exciter. 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 Figure 4The vortex region 12 is shown. The position of the vortex region formed in the airflow channel can be determined based on the historical control parameters and the historical exhaust gas parameters. The positions of the historical vortex regions corresponding to the historical control parameters and the historical exhaust gas parameters satisfy the following condition: the ionization region in the airflow channel is at least partially located in the historical vortex region.

[0039] Step S203 : controlling 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.

[0040] Specifically, if Figure 4 As shown, the ionization region 13, also known as the discharge region, is the region of gas ionized during the discharge process of the dielectric barrier discharge exhaust device. It is the area in the airflow channel 10 where the electric field is relatively strong and where active species are generated. The vortex region 12, where the vortex is located, is a region in the airflow channel 10 with high turbulence and a large diffusion coefficient. When the ionization region 13 and the vortex region 12 at least partially overlap, active species such as ions and free radicals generated by the discharge can be promptly diffused into the exhaust gas.

[0041] Through the embodiment, exhaust gas parameters such as exhaust gas flow rate, exhaust gas temperature and exhaust gas pressure entering the air flow channel are first obtained; then the exhaust gas parameters are analyzed using a target model to determine the reciprocating frequency and amplitude corresponding to the exhaust gas parameters, which are 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 air flow 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 radicals generated by the discharge can be promptly diffused into the entire exhaust gas, 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 harmful substance emissions on the environment.

[0042] like Figure 2 and Figure 4As shown, the dielectric barrier discharge tail gas treatment device further comprises: a first electrode 14 and a second electrode 15, which are respectively connected to two ends of an alternating current power supply; and two opposite insulating airflow channel walls 16, which enclose the airflow channel 10. The alternating current power supply provides a voltage of between 5kV and 20kV to form a dielectric barrier discharge in the airflow channel 10. The first electrode 14 and the second electrode 15 can be made of copper or other conductive materials. When the ionization region 13 is just in the vortex region 12, the active particles can timely diffuse into other parts of the tail gas outside the vortex region 12, thereby more effectively interacting with the pollutants in the tail gas. Otherwise, due to the short life of the active particles, they will be consumed before fully interacting with the pollutants. By using the scheme of the present application, the overlap of the ionization region and the vortex region is achieved under a given working condition, and the tail gas treatment effect is improved.

[0043] In actual application, the target model can be any suitable prediction model, such as a neural network model.

[0044] In an optional solution, before the target model is used to analyze the tail gas parameters and determine the control parameters of the vortex exciter, the method further comprises:

[0045] Step S204: determining the ionization region, i.e., determining the position of the ionization region in the airflow channel;

[0046] Specifically, in the case where 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 airflow channel is fixed and unchanged.

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

[0048] Specifically, since the position of the vortex region formed in the airflow channel can be determined by the historical control parameters and the historical tail gas parameters, by collecting the historical control parameters and the historical tail gas parameters corresponding to the historical vortex regions that satisfy the condition that the overlap degree with the ionization region is greater than the first threshold, a plurality of arrays of the training model are obtained, and one {tail gas flow rate V, tail gas temperature T, tail gas pressure P, reciprocating frequency f, amplitude A} corresponding to the historical vortex region constitutes one array.

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

[0050] Step S207: taking the historical tail gas parameters as inputs of the feedforward neural network model, taking the historical control parameters as outputs of the feedforward neural network model, training the feedforward neural network model by using the plurality of arrays, and obtaining the target model.

[0051] In the embodiments, the position of the ionization region is determined, and then the historical control parameters and the historical tail gas parameters corresponding to the historical vortex region with a coincidence degree greater than a first threshold with the ionization region are determined according to the position of the ionization region, so as to obtain the plurality of arrays; and the feedforward neural network model is trained by using the plurality of arrays, so as to ensure that the target model can accurately predict the control parameters according to the tail gas parameters, and to provide a more accurate model structure for subsequent accurate control of the vortex exciter, so as to further ensure that the control parameters output by the target model can improve the purification effect of the tail gas when the vortex exciter is controlled according to the control parameters.

[0052] The feedforward neural network model is a hierarchical neural network model, which has the advantages of simple structure, easy implementation, and powerful data processing capability. In a specific embodiment, as shown in FIG. 2, the inputs of the feedforward neural network model include the tail gas flow rate V, the tail gas temperature T, and the tail gas pressure P; the outputs of the feedforward neural network model include the reciprocating frequency f and the 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 model can be used for online control of the system, and the tail gas flow rate V, the tail gas temperature T, and the tail gas pressure P measured by the sensor are used as the inputs of the model, and the outputs are the reciprocating frequency f and the amplitude A of the vortex exciter. Figure 5

[0053] Further, step S204: the implementation of the ionization region can be: obtaining the electric potential of a plurality of regions in the airflow channel; determining the electric field intensity of the plurality of regions according to the electric potential; and determining that the region corresponding to the electric field intensity greater than a second threshold as the ionization region according to the plurality of electric field intensities. In this way, the position of the ionization region can be obtained more accurately.

[0054] In the embodiments, the position of the ionization region is determined, and then the historical control parameters and the historical tail gas parameters corresponding to the historical vortex region with a coincidence degree greater than a first threshold with the ionization region are determined according to the position of the ionization region, so as to obtain the plurality of arrays; and the feedforward neural network model is trained by using the plurality of arrays, so as to ensure that the target model can accurately predict the control parameters according to the tail gas parameters, and to provide a more accurate model structure for subsequent accurate control of the vortex exciter, so as to further ensure that the control parameters output by the target model can improve the purification effect of the tail gas when the vortex exciter is controlled according to the control parameters.

[0055] ​​​​The second threshold value can be determined by whether obvious discharge is generated in a given region, specifically, gradually increasing the electric field strength of the dielectric barrier discharge tail gas treatment device under a certain working condition, and if obvious discharge is generated in a given region, it is considered that the second threshold value is reached, and the electric field strength at this time is the specific value of the second threshold value; and the judgment of whether obvious discharge is generated can be distinguished 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 tail gas parameters and the historical control parameters corresponding to the plurality of historical vortex regions, can include:

[0057] Step S2051: obtaining a plurality of initial arrays, the initial arrays including initial tail gas flow, initial tail gas temperature, initial tail gas pressure, initial reciprocating frequency and initial amplitude;

[0058] Step S2052: calculating the vortex regions corresponding to a plurality of the initial arrays to obtain a plurality of preliminary vortex regions;

[0059] Step S2053: determining the coincidence degree of each of the preliminary vortex regions and the ionization region;

[0060] Step S2054: determining the preliminary vortex region with the coincidence degree greater than the second threshold value as the historical vortex region, and the initial array corresponding to the historical vortex region as the array, to obtain a predetermined number of arrays.

[0061] In the embodiments, a plurality of initial arrays composed of initial tail gas flow, initial tail gas temperature, initial tail gas pressure, initial reciprocating frequency and initial amplitude are first obtained; the positions of the preliminary vortex regions corresponding to each initial array are then calculated respectively; and finally, the initial array corresponding to the preliminary vortex region satisfying the coincidence degree greater than the second threshold value with the ionization region is determined as the array, ensuring the accuracy and scale of the model training set, so that the model trained by the training set can output accurate control parameters according to the input tail gas parameters, thereby further ensuring that the tail gas treatment effect of the dielectric barrier discharge tail gas treatment device is good, and further avoiding the problem of polluting the environment due to insufficient tail gas treatment.

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

[0063] According to some optional embodiments of the present application, the step S205 of determining the historical exhaust parameters and the historical control parameters corresponding to the plurality of historical vortex regions can further include:

[0064] The step S2051' of controlling includes adjusting at least one of the initial reciprocating frequency and the initial amplitude multiple times to obtain a plurality of initial arrays including the initial exhaust parameters and initial control parameters, the initial exhaust parameters including the initial exhaust flow rate, the initial exhaust temperature and the initial exhaust pressure, and the initial control parameters including the initial reciprocating frequency and the initial amplitude.

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

[0066] The step S2052' of calculating includes calculating vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions.

[0067] The step S2053' of first determining includes determining the degree of coincidence between each of the preliminary vortex regions and the ionization region.

[0068] The step S2054' of second determining includes determining that the preliminary vortex region with the largest degree of coincidence is the historical vortex region, and that the initial array corresponding to the historical vortex region constitutes the array.

[0069] The step S2055' of adjusting includes adjusting at least one of the initial exhaust flow rate, the initial exhaust temperature and the initial exhaust pressure, and repeatedly performing the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of arrays are obtained.

[0070] Specifically, at least one of the initial exhaust flow rate, the initial exhaust temperature and the initial exhaust pressure is adjusted to obtain adjusted initial exhaust parameters, and the control step, the calculation step, the first determination step and the second determination step are repeatedly performed, i.e., the adjusted initial exhaust parameters are kept unchanged, and the initial control parameters are adjusted again to obtain an array corresponding to one of the historical vortex regions. That is, the control step, the calculation step, the first determination step and the second determination step are repeatedly performed once to obtain one of the arrays.

[0071] In the embodiment, the initial exhaust flow rate, the initial exhaust temperature and the exhaust pressure are kept unchanged, at least one of the initial frequency and the initial amplitude is adjusted continuously to obtain a plurality of initial arrays, the preliminary vortex regions corresponding to the initial arrays are determined, the preliminary vortex region with high coincidence degree with the ionization region is determined as the historical vortex region, and one array is selected from the plurality of initial arrays; after at least one of the initial exhaust flow rate, the initial exhaust temperature and the exhaust pressure is adjusted, the process is executed in a loop until a predetermined number of arrays are obtained, the accuracy and the size of the model training set are ensured, the model trained by the training set can output accurate control parameters according to the input exhaust parameters, and the exhaust treatment effect of the dielectric barrier discharge exhaust treatment equipment is further ensured to be good, and the problem of environmental pollution caused by insufficient exhaust treatment is further avoided.

[0072] Of course, in addition to the above-mentioned manner, in other embodiments, the initial frequency and the initial amplitude can be kept unchanged, at least one of the initial exhaust flow rate, the initial exhaust temperature and the exhaust pressure is adjusted continuously to obtain a plurality of initial arrays, the preliminary vortex regions corresponding to the initial arrays are determined, the preliminary vortex region with high coincidence degree with the ionization region is determined as the historical vortex region, and one array is selected from the plurality of initial arrays; after at least one of the initial frequency and the initial amplitude is adjusted, the process is executed in a loop until a predetermined number of arrays are obtained.

[0073] To further accurately and quickly obtain the coincidence degree of the preliminary vortex region and the ionization region, optionally, the coincidence degrees of the preliminary vortex regions and the ionization region are determined, including: the coincidence degree is determined according to the formula wherein s is the coincidence degree, E is the electric field strength of the ionization region, ω is the vortex amount of the preliminary vortex region, dV is the space region microelement for integration, and dt is the time microelement.

[0074] In some optional embodiments, the vortex regions corresponding to the plurality of initial arrays are calculated to obtain a plurality of preliminary vortex regions, including: establishing an initial numerical model according to the exhaust flow, the exhaust temperature and the exhaust pressure by using the Navier-Stokes equation, wherein the initial numerical model is a numerical model of the gas flow in the gas flow passage; adding the reciprocating frequency and the amplitude as external excitation conditions to the initial numerical model to obtain a numerical model; performing numerical simulation calculation on the numerical model to obtain the gas flow field in the gas flow passage; and determining the vortex amount of the plurality of preliminary vortex regions according to the gas flow field, wherein the vortex amount represents the distribution of the preliminary vortex region in the gas flow passage. The position of the preliminary vortex region is obtained by the flow field calculation method, which can ensure that the position of the obtained preliminary vortex region matches the actual working condition corresponding to the initial array, further ensuring the position accuracy of the preliminary vortex region and providing a more accurate data basis for the subsequent coincidence degree calculation.

[0075] Specifically, as shown in Figure 2 and Figure 4 The vortex exciter 11 includes a vortex excitation blade 17 and a rotating shaft 18, and the vortex excitation blade 17 and the rotating shaft 18 are connected to control the vortex exciter to operate at the control parameters, including: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at 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, which can effectively control the vortex path and vortex amount in the exhaust flow field of the gas flow passage, so that the generated vortex region at least partially coincides with the ionization region in the gas flow passage, further improving the discharge efficiency and conversion efficiency of the dielectric barrier discharge exhaust treatment equipment, further reducing the energy loss of the dielectric barrier discharge exhaust treatment equipment, thereby further enhancing the exhaust treatment effect and reducing the impact of harmful substances in the exhaust on the environment.

[0076] The connection between the vortex excitation blade 17 and the rotating shaft 18 can be achieved by mechanical connection such as bolts. 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 flowchart of the drawings can be executed in a computer system such as a group of computer executable instructions, and although the 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.

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

[0079] The following introduces the control device of the dielectric barrier discharge exhaust gas treatment equipment provided in the embodiment of the present application.

[0080] Figure 2 FIG. 1 is a schematic structural diagram of a dielectric barrier discharge tail gas treatment device according to an embodiment of the present application. 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 includes:

[0081] an acquisition unit 20 for acquiring 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;

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

[0083] an analyzing unit 30, configured to analyze the exhaust gas parameters using a target model to determine control parameters of the vortex exciter, the control parameters including reciprocating frequency and amplitude, the target model being trained through machine learning using a plurality of arrays, each of the plurality of 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;

[0084] Specifically, the tail gas parameters are input into the target model, and the target model outputs corresponding control parameters. The reciprocating frequency is the frequency at which the vortex exciter reciprocates. Figure 4 The vortex exciter 11, also called a vortex generator, is used to reciprocate in the airflow channel 10 to generate a vortex in the airflow channel 10 to form a vortex region 12 as shown.

[0085] The control unit 40 is configured to control the vortex exciter to operate at 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 exciter.

[0086] Specifically, as shown in Figure 4 The ionization region 13, also called a discharge region, is a region in the airflow channel 10 where the electric field is strong and active particles are generated. The vortex region 12 is a region in the airflow channel 10 where the turbulence is high and the diffusion coefficient is large. When the ionization region 13 and the vortex region 12 at least partially overlap, the active particles such as ions and free radicals generated by the discharge can be diffused into the tail gas in time.

[0087] According to the embodiment, the tail gas parameters such as the tail gas flow rate, temperature, and pressure flowing into the airflow channel are obtained by the obtaining unit. The tail gas parameters are analyzed by the analysis unit using a target model to determine the control parameters of the vortex exciter, such as the reciprocating frequency and amplitude. The control unit controls the vortex exciter to operate at 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 exciter. The vortex generator is arranged in the airflow channel of the dielectric barrier discharge tail gas treatment device to increase the turbulence of the tail gas in the airflow channel. The tail gas parameters such as the tail gas flow rate, temperature, and pressure are analyzed by the target model to determine the control parameters of the vortex generator, such as the reciprocating frequency and amplitude, so that the vortex generator operates at the control parameters. The ionization region and the vortex region 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 tail gas in time, so that the active particles effectively interact with the harmful substances in the tail gas, thereby improving the cleaning effect of the dielectric barrier discharge tail gas treatment device on the harmful substances in the tail gas, reducing the emission of harmful substances, and alleviating the impact of harmful substance emission on the environment.

[0088] As shown in Figure 2 and Figure 4 The dielectric barrier discharge tail gas treatment device further comprises a first electrode 14 and a second electrode 15, which are respectively connected to two ends of an alternating current power supply; two opposite insulating airflow channel walls 16, which enclose the airflow channel 10. The alternating current power supply provides a voltage of 5-20 kV to form a dielectric barrier discharge in the airflow channel 10. The first electrode 14 and the second electrode 15 can be made of copper or other conductive materials. When the ionization region 13 is just in the vortex region 12, the active particles can timely diffuse into other parts of the tail gas outside the vortex region 12, thereby more effectively interacting with the pollutants in the tail gas. Otherwise, due to the short life of the active particles, they will be consumed before fully interacting with the pollutants. By using the scheme of the present application, the overlap of the ionization region and the vortex region is achieved under a given working condition, and the tail gas treatment effect is improved.

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

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

[0091] The first determination unit is configured to determine the ionization region, i.e., the position of the ionization region in the airflow channel, before using the target model to analyze the tail gas parameters and determine the control parameters of the vortex exciter.

[0092] Specifically, in the case where 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 airflow channel is fixed.

[0093] The second determination unit is configured to determine the historical tail gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions, to obtain a plurality of arrays, and the overlap degree of the historical vortex region and the ionization region is greater than a first threshold.

[0094] Specifically, since the position of the vortex region formed in the airflow channel can be determined by the historical control parameters and the historical tail gas parameters, by collecting the historical control parameters and the historical tail gas parameters corresponding to the historical vortex regions that satisfy the condition that the overlap degree with the ionization region is greater than the first threshold, a plurality of arrays of the training model are obtained, and one {tail gas flow rate V, tail gas temperature T, tail gas pressure P, reciprocating frequency f, amplitude A} corresponding to the historical vortex region constitutes one array.

[0095] The establishment unit is configured to establish a feedforward 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 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 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 exciter 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 exciter according to 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 advantages such as simple structure, easy implementation and strong data processing capability. Figure 5 As shown, the feedforward neural network model's inputs include exhaust flow rate V, exhaust temperature T, and exhaust pressure P; its outputs include the vortex actuator's reciprocating frequency f and amplitude A. The model consists of 5-8 layers, with each layer containing 5-10 units. The trained feedforward neural network can be used for online control of the system. The sensor-measured exhaust flow rate V, exhaust temperature T, and exhaust pressure P serve as model inputs, and the outputs are the vortex actuator's reciprocating frequency f and amplitude A.

[0099] Furthermore, the first determination unit may include: a first acquisition module for acquiring electric potentials of multiple regions in the airflow channel; a first determination module for determining electric field strengths of the multiple regions based on the electric potentials; and a second determination module for determining, based on the multiple electric field strengths, that the region corresponding to the electric field strength greater than a second threshold is the ionization region. This allows for a more accurate determination of the location of the ionization region.

[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 based on 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 is generated in a given region, in particular, in a specific working condition, gradually increasing the electric field intensity of the dielectric barrier discharge tail gas treatment device, and if obvious discharge is generated in a given region, it is considered that the second threshold value is reached, and the electric field intensity at this time is the specific value of the second threshold value; and the judgment of whether obvious discharge is generated can be distinguished 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 can comprise:

[0103] The second acquisition module is configured to acquire a plurality of initial arrays, and the initial array comprises an initial tail gas flow, an initial tail gas temperature, an initial tail gas pressure, an initial reciprocating frequency and an initial amplitude.

[0104] The first calculation module is configured to calculate a vortex region corresponding to each of the initial arrays to obtain a plurality of preliminary vortex regions.

[0105] The third determining module is configured to determine the coincidence degree of each of the preliminary vortex regions and the ionization region.

[0106] The fourth determining module is configured to determine that the preliminary vortex region with the coincidence degree greater than the second threshold value is the historical vortex region, and the initial array corresponding to the historical vortex region is the array, thereby obtaining a predetermined number of arrays.

[0107] In the embodiments, a plurality of initial arrays composed of an initial tail gas flow, an initial tail gas temperature, an initial tail gas pressure, an initial reciprocating frequency and an initial amplitude are first acquired; the positions of the preliminary vortex regions corresponding to each initial array are then calculated respectively; and finally, the initial array corresponding to the preliminary vortex region satisfying the coincidence degree greater than the second threshold value with the ionization region is determined as the array, thereby ensuring the accuracy and scale of the model training set, so that the model trained by the training set can output accurate control parameters according to the input tail gas parameters, thereby further ensuring that the tail gas treatment effect of the dielectric barrier discharge tail gas treatment device is good, and further avoiding the problem of polluting the environment due to insufficient tail gas treatment.

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

[0109] According to some optional embodiments of the present application, the second determining unit can comprise:

[0110] a first control module configured to control a control step of adjusting at least one of an initial reciprocating frequency and an initial amplitude for multiple times while keeping an initial exhaust parameter unchanged, to obtain a plurality of initial arrays including the initial exhaust parameter and an initial control parameter, the initial exhaust parameter including an initial exhaust flow, an initial exhaust temperature and an initial exhaust pressure, the initial exhaust parameter including the initial exhaust flow, the initial exhaust temperature and the initial exhaust pressure;

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

[0112] a second calculation module configured to calculate a calculation step of calculating a plurality of preliminary vortex regions corresponding to the initial arrays, to obtain the preliminary vortex regions;

[0113] a fifth determination module configured to determine a first determination step of determining a degree of coincidence between each of the preliminary vortex regions and the ionization region;

[0114] a sixth determination module configured to determine a second determination step of determining that the preliminary vortex region with the largest degree of coincidence is the historical vortex region, and that an initial array corresponding to the historical vortex region constitutes the array;

[0115] an adjustment module configured to adjust at least one of the initial exhaust flow, the initial exhaust temperature and the initial exhaust pressure, and to cyclically execute the control step, the calculation step, the first determination step and the second determination step at least once until a predetermined number of arrays is obtained.

[0116] Specifically, at least one of the initial exhaust flow, the initial exhaust temperature and the initial exhaust pressure is adjusted to obtain an adjusted initial exhaust parameter, and the control step, the calculation step, the first determination step and the second determination step are cyclically executed, i.e., the adjusted initial exhaust parameter is kept unchanged, the initial control parameter is adjusted again, and an array corresponding to a historical vortex region is obtained. That is, the control step, the calculation step, the first determination step and the second determination step are executed once, and one of the arrays is obtained.

[0117] In the embodiment, the initial exhaust flow rate, the initial exhaust temperature and the exhaust pressure are kept unchanged, at least one of the initial frequency and the initial amplitude is adjusted continuously to obtain a plurality of initial arrays, the preliminary vortex regions corresponding to the initial arrays are determined, the preliminary vortex region with high coincidence degree with the ionization region is determined as the historical vortex region, and one array is selected from the plurality of initial arrays; after at least one of the initial exhaust flow rate, the initial exhaust temperature and the exhaust pressure is adjusted, the process is executed in a loop until a predetermined number of arrays are obtained, the accuracy and the size of the model training set are ensured, the model trained by the training set can output accurate control parameters according to the input exhaust parameters, the exhaust treatment effect of the dielectric barrier discharge exhaust treatment equipment is further ensured to be good, and the problem of environmental pollution caused by insufficient exhaust treatment is further avoided.

[0118] Of course, in addition to the above-mentioned manner, in other embodiments, the initial frequency and the initial amplitude can be kept unchanged, at least one of the initial exhaust flow rate, the initial exhaust temperature and the exhaust pressure is adjusted continuously to obtain a plurality of initial arrays, the preliminary vortex regions corresponding to the initial arrays are determined, the preliminary vortex region with high coincidence degree with the ionization region is determined as the historical vortex region, and one array is selected from the plurality of initial arrays; after at least one of the initial frequency and the initial amplitude is adjusted, the process is executed in a loop until a predetermined number of arrays are obtained.

[0119] To further realize the size of the coincidence degree between the preliminary vortex region and the ionization region more accurately and quickly, the third determination module and the fifth determination module can optionally include: the coincidence degree is determined according to the formula , wherein s is the coincidence degree, E is the electric field strength of the ionization region, ω is the vortex amount of the preliminary vortex region, dV is the infinitesimal of the space region for integration, and dt is the infinitesimal of time.

[0120] In some optional embodiments, the first calculation module and the second calculation module each comprise: a building submodule configured to build an initial numerical model according to the exhaust flow, the exhaust temperature and the exhaust pressure by using the Navier-Stokes equation, the initial numerical model being a numerical model of gas flow in the gas flow passage; a joining submodule configured to join the reciprocating frequency and the amplitude as external excitation conditions into the initial numerical model to obtain a numerical model; a calculation submodule configured to perform numerical simulation calculation on the numerical model to obtain a gas flow field condition in the gas flow passage; and a determining submodule configured to determine vortex quantities of the multiple preliminary vortex regions according to the gas flow field condition, the vortex quantities representing distribution of the preliminary vortex regions in the gas flow passage. The position of the preliminary vortex region is obtained by the flow field calculation method, which can ensure that the obtained position of the preliminary vortex region matches the actual working condition corresponding to the initial array, thereby further ensuring the position accuracy of the preliminary vortex region and providing a more accurate data basis for subsequent calculation of the coincidence degree.

[0121] Specifically, as shown in Figure 2 and Figure 4 The vortex exciter 11 comprises vortex excitation blades 17 and a rotating shaft 18, the vortex excitation blades 17 are connected to the rotating shaft 18, and the control unit comprises a second control module configured to control the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex excitation blades to reciprocate and vibrate. In the embodiment, the vortex excitation blades are driven by the rotating shaft to reciprocate at the reciprocating frequency and vibrate at the amplitude, which can effectively control the vortex path and vortex quantity in the exhaust flow field of the gas flow passage, so that the generated vortex region at least partially coincides with the ionization region in the gas flow passage, thereby further improving the discharge efficiency and conversion efficiency of the dielectric barrier discharge exhaust treatment device, further reducing the energy loss of the dielectric barrier discharge exhaust treatment device, and further enhancing the exhaust treatment effect and reducing the impact of harmful substances in the exhaust on the environment.

[0122] The connection between the vortex excitation blades 17 and the rotating shaft 18 can be achieved by mechanical connection such as bolts. The rotation and vibration of the rotating shaft 18 are transmitted to the vortex excitation blades 17.

[0123] The control device of the dielectric barrier discharge exhaust treatment device comprises a processor and a memory, and the acquisition unit, the analysis unit and the control unit are stored in the memory as program units, and the corresponding functions are realized by the processor executing the program units stored in the memory. The modules are located in the same processor; alternatively, the modules are located in different processors in any combination.

[0124] The processor comprises a core, and the core retrieves corresponding program units from the memory. The core can be one or more, and the core parameters are adjusted to at least solve the problems of insufficient tail gas treatment and environmental pollution of the existing medium blocking discharge tail gas treatment equipment.

[0125] The memory can 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 memory (flash RAM), and the memory includes at least one memory chip.

[0126] The embodiment of the present application provides a computer readable storage medium, which comprises a stored program, wherein when the program runs, the device where the computer readable storage medium is located performs the control method of the medium blocking discharge tail gas treatment equipment.

[0127] Specifically, the control method of the medium blocking discharge tail gas treatment equipment comprises:

[0128] In step S201, tail gas parameters flowing into the airflow channel are obtained, and the tail gas parameters include tail gas flow, tail gas temperature and tail gas pressure.

[0129] Specifically, the tail gas flow is the flow of the tail gas flowing into the airflow channel, the tail gas temperature is the temperature of the tail gas flowing into the airflow channel, and the tail gas pressure is the pressure of the tail gas flowing into the airflow channel, also known as exhaust pressure.

[0130] In step S202, a target model is used to analyze the tail gas parameters to determine control parameters of a vortex exciter, and the control parameters include a reciprocating frequency and an amplitude. The target model is trained by machine learning using a plurality of arrays, and each array in the plurality of arrays comprises historical tail gas parameters and historical control parameters corresponding to the historical tail gas parameters. The historical tail gas parameters include historical tail gas flow, historical tail gas temperature and historical tail gas pressure, and the historical control parameters include historical reciprocating frequency and historical amplitude.

[0131] Specifically, the tail gas parameters are input into the target model, and the target model outputs corresponding control parameters. The reciprocating frequency is the frequency of the reciprocating motion of the vortex exciter. The vortex exciter is also called a vortex generator, which is used to reciprocate in the airflow channel to generate a vortex in the airflow channel to form a vortex region. According to the historical control parameters and the historical tail gas parameters, the position of the vortex region formed in the airflow channel can be determined, and the position of the historical vortex region corresponding to the historical control parameters and the historical tail gas parameters satisfies that the ionization region in the airflow channel is at least partially located in the historical vortex region.

[0132] In step S203, the vortex exciter is controlled to operate according to 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 exciter.

[0133] Specifically, the ionization region, i.e., the region of the dielectric barrier discharge tail gas device in which the gas is ionized during discharge, is also called the discharge region, and is a region in the airflow channel with a strong electric field and a region where active particles are generated. The vortex region, i.e., the region where the vortex is located, 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, the active particles such as ions and free radicals generated by discharge can be diffused into the tail gas in time.

[0134] Optionally, before the tail gas parameter is analyzed using the target model to determine the control parameters of the vortex exciter, the method further comprises: determining the ionization region; determining the historical tail gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions, to obtain a plurality of arrays, the overlap degree of the historical vortex region and the ionization region being greater than a first threshold; establishing a feedforward neural network model; taking the historical tail gas parameters as the input of the feedforward neural network model and taking the historical control parameters as the output of the feedforward neural network model, training the feedforward neural network model using a plurality of arrays to obtain the target model.

[0135] Optionally, determining the ionization region comprises: obtaining the electric potential of a plurality of regions in the airflow channel; determining the electric field intensity of a plurality of regions according to the electric potential; and determining the region corresponding to the electric field intensity greater than a second threshold as the ionization region according to a plurality of electric field intensities.

[0136] Optionally, determining the historical tail gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions comprises: obtaining a plurality of initial arrays, the initial array comprising an initial tail gas flow, an initial tail gas temperature, an initial tail gas pressure, an initial reciprocating frequency, and an initial amplitude; calculating the vortex region corresponding to a plurality of initial arrays to obtain a plurality of preliminary vortex regions; determining the overlap degree of each preliminary vortex region and the ionization region; determining the preliminary vortex region with the overlap degree greater than a second threshold as the historical vortex region, the initial array corresponding to the historical vortex region as the array, to obtain a predetermined number of arrays.

[0137] Optionally, the determining the historical vortex area corresponding to the historical exhaust parameter and the historical control parameter comprises: a control step of adjusting at least one of the initial exhaust flow rate, the initial exhaust temperature and the initial exhaust pressure to obtain a plurality of initial arrays including the initial exhaust parameter and the initial control parameter; a calculation step of calculating a vortex area corresponding to each of the initial arrays to obtain a plurality of preliminary vortex areas; a first determination step of determining a coincidence degree of each of the preliminary vortex areas and the ionization area; a second determination step of determining the preliminary vortex area with the maximum coincidence degree as the historical vortex area, wherein the initial array corresponding to the historical vortex area constitutes the array; and an adjustment step of adjusting at least one of the initial exhaust flow rate, the initial exhaust 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, the determining the coincidence degree of each of the preliminary vortex areas and the ionization area comprises: determining the coincidence degree according to a formula wherein s is the coincidence degree, E is an electric field intensity of the ionization area, ω is a vortex amount of the preliminary vortex area, dV is a micro-element of a space region for integration, and dt is a time micro-element.

[0139] Optionally, the calculating the vortex area corresponding to each of the initial arrays to obtain a plurality of preliminary vortex areas comprises: establishing an initial numerical model by using a Navier-Stokes equation according to the exhaust flow rate, the exhaust temperature and the exhaust pressure, wherein the initial numerical model is a numerical model of gas flow in the gas flow passage; 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 a gas flow field condition in the gas flow passage; and determining a vortex amount of each of the preliminary vortex areas according to the gas flow field condition, wherein the vortex amount represents a distribution condition of the preliminary vortex area in the gas flow passage.

[0140] Optionally, the vortex exciter comprises a vortex excitation blade and a rotating shaft, the vortex excitation blade and the rotating shaft are connected, and the vortex exciter is controlled to operate at the control parameter, which comprises: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate.

[0141] The embodiment of the present application provides a processor used for running a program, wherein the control method of the dielectric barrier discharge tail gas treatment equipment is executed when the program runs.

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

[0143] In step S201, tail gas parameters flowing into the airflow channel are acquired, wherein the tail gas parameters comprise tail gas flow, tail gas temperature and tail gas pressure.

[0144] Specifically, the tail gas flow is the flow of the tail gas flowing into the airflow channel, the tail gas temperature is the temperature of the tail gas flowing into the airflow channel, and the tail gas pressure is the pressure of the tail gas flowing into the airflow channel, also known as exhaust pressure.

[0145] In step S202, a target model is used to analyze the tail gas parameters, and control parameters of a vortex exciter are determined, wherein the control parameters comprise reciprocating frequency and amplitude, and the target model is trained by machine learning using a plurality of arrays, each of the plurality of arrays comprising historical tail gas parameters and historical control parameters corresponding to the historical tail gas parameters, wherein 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.

[0146] Specifically, the tail gas parameters are input into the target model, and the target model outputs corresponding control parameters. The reciprocating frequency is the frequency of the reciprocating motion of the vortex exciter. The vortex exciter is also known as a vortex generator, which is used to reciprocate in the airflow channel to generate a vortex in the airflow channel to form a vortex region. According to the historical control parameters and the historical tail gas parameters, the position of the historical vortex region corresponding to the historical control parameters and the historical tail gas parameters satisfies that at least part of the ionization region in the airflow channel is located in the historical vortex region.

[0147] In step S203, the vortex exciter is controlled to run at 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 exciter.

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

[0149] Optionally, before analyzing the exhaust parameters using the target model to determine the control parameters of the vortex exciter, the method further comprises: determining the ionization region; determining the historical exhaust parameters and the historical control parameters corresponding to a plurality of historical vortex regions, to obtain a plurality of the arrays, the overlap degree of the historical vortex regions and the ionization region being greater than a first threshold; establishing a feedforward neural network model; taking the historical exhaust parameters as the input of the feedforward neural network model and taking the historical control parameters as the output of the feedforward neural network model, training the feedforward neural network model using a plurality of the arrays to obtain the target model.

[0150] Optionally, determining the ionization region comprises: obtaining the electric potential of a plurality of regions in the gas flow channel; determining the electric field intensity of a plurality of the regions according to the electric potential; and determining the region corresponding to the electric field intensity greater than a second threshold as the ionization region according to a plurality of the electric field intensities.

[0151] Optionally, determining the historical exhaust parameters and the historical control parameters corresponding to a plurality of historical vortex regions comprises: obtaining a plurality of initial arrays, the initial array including an initial exhaust flow, an initial exhaust temperature, an initial exhaust pressure, an initial reciprocating frequency and an initial amplitude; calculating the vortex region corresponding to a plurality of the initial arrays to obtain a plurality of preliminary vortex regions; determining the overlap degree of each of the preliminary vortex regions and the ionization region; determining the preliminary vortex region with the overlap degree greater than a second threshold as the historical vortex region, the initial array corresponding to the historical vortex region as the array, to obtain a predetermined number of the arrays.

[0152] Optionally, the method further comprises: controlling, under the condition that the initial exhaust parameter is kept unchanged, at least one of the initial reciprocating frequency and the initial amplitude to obtain a plurality of initial arrays comprising the initial exhaust parameter and an initial control parameter, wherein the initial exhaust parameter comprises an initial exhaust flow, an initial exhaust temperature and an initial exhaust pressure; calculating a vortex region corresponding to each of the initial arrays to obtain a plurality of preliminary vortex regions; determining a coincidence degree of each of the preliminary vortex regions and the ionization region; determining the preliminary vortex region with the maximum coincidence degree as the historical vortex region, wherein the initial array corresponding to the historical vortex region constitutes the array; and adjusting at least one of the initial exhaust flow, the initial exhaust temperature and the initial exhaust pressure, and cyclically executing the controlling, the calculating, the determining and the determining at least once until a predetermined number of arrays are obtained.

[0153] Optionally, the method further comprises: determining the coincidence degree of each of the preliminary vortex regions and the ionization region according to the formula determining the coincidence degree, wherein s is the coincidence degree, E is an electric field intensity of the ionization region, ω is a vortex amount of the preliminary vortex region, dV is a micro-element of a space region for integration, and dt is a time micro-element.

[0154] Optionally, the method further comprises: establishing an initial numerical model by using the Navier-Stokes equation according to the exhaust flow, the exhaust temperature and the exhaust pressure, wherein the initial numerical model is a numerical model of 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 a gas flow field condition in the gas flow channel; and determining a vortex amount of each of the preliminary vortex regions according to the gas flow field condition, wherein the vortex amount represents a distribution condition of the preliminary vortex region in the gas flow channel.

[0155] Optionally, the vortex exciter comprises a vortex excitation blade and a rotating shaft, the vortex excitation blade and the rotating shaft are connected, and the vortex exciter is controlled to operate at the control parameter, comprising: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate.

[0156] An embodiment of the present application provides a vehicle, comprising:

[0157] AsFigure 2 The medium barrier discharge tail gas treatment device shown includes a gas flow channel 10 and a vortex exciter 11 located in the gas flow channel 10.

[0158] A controller includes a processor, a memory, and a program stored on the memory and executable on the processor, and the processor implements at least the following steps when executing the program:

[0159] Step S201, obtaining tail gas parameters input into the gas flow channel, the tail gas parameters including tail gas flow, tail gas temperature, and tail gas pressure;

[0160] Specifically, the tail gas flow is the flow of the tail gas input into the gas flow channel, the tail gas temperature is the temperature of the tail gas input into the gas flow channel, and the tail gas pressure is the pressure of the tail gas discharged into the gas flow channel, also known as exhaust pressure.

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

[0162] Specifically, the tail gas parameters are input into the target model, and the target model outputs corresponding control parameters. The reciprocating frequency is the frequency of the reciprocating motion of the vortex exciter. The vortex exciter is also called a vortex generator, which is used to reciprocate in the gas flow channel to generate a vortex in the gas flow channel to form a vortex region. According to the historical control parameters and the historical tail gas parameters, the position of the vortex region formed in the gas flow channel can be determined, and the position of the historical vortex region corresponding to the historical control parameters and the historical tail gas parameters satisfies that at least part of the ionization region in the gas flow channel is located in the historical vortex region.

[0163] Step S203, controlling the vortex exciter to operate at the control parameters to make at least part of the ionization region in the gas flow channel located in the vortex region formed by the vortex exciter.

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

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

[0166] Optionally, before the tail gas parameter is analyzed using the target model to determine the control parameter of the vortex exciter, the method further comprises: determining the ionization region; determining the historical tail gas parameter and the historical control parameter corresponding to a plurality of historical vortex regions, to obtain a plurality of the arrays, the overlap degree of the historical vortex region and the ionization region being greater than a first threshold; establishing a feedforward neural network model; taking the historical tail gas parameter as the input of the feedforward neural network model, and taking the historical control parameter as the output of the feedforward neural network model, training the feedforward neural network model using a plurality of the arrays, to obtain the target model.

[0167] Optionally, determining the ionization region comprises: obtaining the electric potential of a plurality of regions in the airflow channel; determining the electric field intensity of a plurality of the regions according to the electric potential; and determining the region corresponding to the electric field intensity greater than a second threshold as the ionization region according to a plurality of the electric field intensities.

[0168] Optionally, determining the historical tail gas parameter and the historical control parameter corresponding to a plurality of historical vortex regions comprises: obtaining a plurality of initial arrays, the initial array comprising an initial tail gas flow, an initial tail gas temperature, an initial tail gas pressure, an initial reciprocating frequency, and an initial amplitude; calculating the vortex region corresponding to a plurality of the initial arrays, to obtain a plurality of preliminary vortex regions; determining the overlap degree of each of the preliminary vortex regions and the ionization region; determining the preliminary vortex region with the overlap degree greater than a second threshold as the historical vortex region, the initial array corresponding to the historical vortex region being the array, to obtain a predetermined number of the arrays.

[0169] Optionally, the determining the historical vortex region corresponding to the historical exhaust parameter and the historical control parameter comprises: a control step of adjusting at least one of the initial exhaust flow rate, the initial exhaust temperature and the initial exhaust pressure to obtain a plurality of initial arrays including the initial exhaust parameter and the initial control parameter; a calculation step of calculating a vortex region corresponding to each of the initial arrays to obtain a plurality of preliminary vortex regions; a first determination step of determining a coincidence degree of each of the preliminary vortex regions and the ionization region; a second determination step of determining the preliminary vortex region with the maximum coincidence degree as the historical vortex region, wherein the initial array corresponding to the historical vortex region constitutes the array; and an adjustment step of adjusting at least one of the initial exhaust flow rate, the initial exhaust 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, the determining the coincidence degree of each of the preliminary vortex region and the ionization region comprises: determining the coincidence degree according to a formula wherein s is the coincidence degree, E is an electric field intensity of the ionization region, ω is a vortex amount of the preliminary vortex region, dV is a micro-element of a space region for integration, and dt is a time micro-element.

[0171] Optionally, the calculating a vortex region corresponding to each of the initial arrays to obtain a plurality of preliminary vortex regions comprises: establishing an initial numerical model by using a Navier-Stokes equation according to the exhaust flow rate, the exhaust temperature and the exhaust pressure, wherein the initial numerical model is a numerical model of 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 a gas flow field condition in the gas flow channel; and determining a vortex amount of each of the preliminary vortex regions according to the gas flow field condition, wherein the vortex amount represents a distribution condition of the preliminary vortex region in the gas flow channel.

[0172] Optionally, the vortex exciter comprises a vortex excitation blade and a rotating shaft, the vortex excitation blade and the rotating shaft are connected, and the vortex exciter is controlled to operate at the control parameter, comprising: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate.

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

[0174] In step S201, a tail gas parameter of the gas flow channel is obtained, the tail gas parameter comprising a tail gas flow, a tail gas temperature and a tail gas pressure.

[0175] In step S202, the tail gas parameter is analyzed using a target model to determine a control parameter of the vortex exciter, the control parameter comprising a reciprocating frequency and an amplitude, the target model being trained by machine learning using a plurality of arrays, each of the plurality of arrays comprising a historical tail gas parameter and a historical control parameter corresponding to the historical tail gas parameter, the historical tail gas parameter comprising a historical tail gas flow, a historical tail gas temperature and a historical tail gas pressure, the historical control parameter comprising a historical reciprocating frequency and a historical amplitude.

[0176] In step S203, the vortex exciter is controlled to operate at the control parameter, so that at least part of the ionization region in the gas flow channel is located in the vortex region formed by the vortex exciter.

[0177] Optionally, before the tail gas parameter is analyzed using the target model to determine the control parameter of the vortex exciter, the method further comprises: determining the ionization region; determining the historical tail gas parameter and the historical control parameter corresponding to a plurality of historical vortex regions to obtain a plurality of arrays, the overlap degree of the historical vortex region and the ionization region being greater than a first threshold; establishing a feedforward neural network model; taking the historical tail gas parameter as the input of the feedforward neural network model and taking the historical control parameter as the output of the feedforward neural network model; training the feedforward neural network model using a plurality of arrays to obtain the target model.

[0178] Optionally, determining the ionization region comprises: obtaining the electric potential of a plurality of regions in the gas flow channel; determining the electric field intensity of a plurality of regions according to the electric potential; and determining the region corresponding to the electric field intensity greater than a second threshold as the ionization region according to a plurality of electric field intensities.

[0179] Optionally, the method further comprises: obtaining a plurality of initial arrays, wherein each of the initial arrays comprises an initial exhaust flow rate, an initial exhaust temperature, an initial exhaust pressure, an initial reciprocating frequency, and an initial amplitude; calculating a plurality of vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions; determining a degree of coincidence between each of the preliminary vortex regions and the ionization region; determining the preliminary vortex region with the largest degree of coincidence as the historical vortex region, wherein the historical vortex region corresponds to the array; and adjusting at least one of the initial exhaust flow rate, the initial exhaust temperature, and the initial exhaust pressure, and repeating the obtaining, the calculating, and the determining at least once until a predetermined number of arrays are obtained.

[0180] Optionally, the method further comprises: a control step of adjusting at least one of the initial reciprocating frequency and the initial amplitude a plurality of times while keeping the initial exhaust parameters unchanged to obtain a plurality of initial arrays comprising the initial exhaust parameters and initial control parameters, wherein the initial exhaust parameters comprise the initial exhaust flow rate, the initial exhaust temperature, and the initial exhaust pressure; a calculation step of calculating a plurality of vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions; a first determination step of determining a degree of coincidence between each of the preliminary vortex regions and the ionization region; a second determination step of determining the preliminary vortex region with the largest degree of coincidence as the historical vortex region, wherein the historical vortex region corresponds to the array; and an adjustment step of adjusting at least one of the initial exhaust flow rate, the initial exhaust temperature, and the initial exhaust pressure, and repeating the control step, the calculation step, the first determination step, and the second determination step at least once until a predetermined number of arrays are obtained.

[0181] Optionally, the degree of coincidence between each of the preliminary vortex regions and the ionization region is determined according to the formula wherein s is the degree of coincidence, E is the electric field intensity of the ionization region, ω is the vortex quantity of the preliminary vortex region, dV is a spatial region microelement for integration, and dt is a time microelement.

[0182] Optionally, the vortex area corresponding to each of the plurality of initial arrays is calculated to obtain a plurality of preliminary vortex areas, including: establishing an initial numerical model according to the exhaust flow, the exhaust temperature and the exhaust pressure by using the Navier-Stokes equation, wherein the initial numerical model is a numerical model of gas flow in the gas flow passage; 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 a gas flow field condition in the gas flow passage; and determining vortex amounts of the plurality of preliminary vortex areas according to the gas flow field condition, wherein the vortex amount represents a distribution condition of the preliminary vortex area in the gas flow passage.

[0183] Optionally, the vortex exciter includes a vortex excitation blade and a rotating shaft, and the vortex excitation blade and the rotating shaft are connected, and the vortex exciter is controlled to operate according to the control parameters, including: controlling the rotating shaft to rotate according to the reciprocating frequency and to vibrate according to the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate.

[0184] Obviously, those skilled in the art should understand that each module or each step of the present application can be realized by a general computing device, which can be concentrated on a single computing device or distributed on a network composed of multiple computing devices, and can be realized by program codes executable by the 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 different order, or they can be manufactured into each integrated circuit module respectively, or multiple modules or steps can be manufactured into a single integrated circuit module. Therefore, the present application is not limited to any specific combination of hardware and software.

[0185] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can be in the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0186] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.

[0187] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.

[0188] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.

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

[0190] The memory can include non-persistent memory and / or volatile memory, such as a random access memory (RAM) including a cache area for the temporary storage of data. The memory can also include non-volatile memory, such as read only memory (ROM) for storing structural information and / or instruction code to boot an operating system. The memory can include flash memory. The memory can include one or more memories, or classes of memory, each of which can be of one or more types. The memory is an example of computer-readable media.

[0191] Computer-readable media includes permanent and non-permanent, removable and non-removable media implemented in any method or technology for information storage. 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 technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0192] It should also be noted that the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles or devices including a series of elements not only include those elements, but also include other elements not explicitly listed or inherent to such processes, methods, articles or devices. Without more limitations, the element defined by the statement "including a" does not exclude the presence of additional identical elements in the process, method, article or device including the element.

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

[0194] The vortex generator is arranged in the gas flow channel of the dielectric barrier discharge tail gas treatment equipment, which increases the turbulence degree of the tail gas in the gas flow channel. The tail gas parameters such as tail gas flow, temperature and pressure are analyzed by a target model, and the control parameters such as reciprocating frequency and amplitude of the vortex generator are determined, so that the vortex generator operates at the control parameters, so that the ionization region and the vortex region at least partially coincide. In this way, the active particles such as ions and free radicals generated by discharge can diffuse into the entire tail gas in time, so that the active particles effectively interact with the harmful substances in the tail gas, thereby improving the cleaning effect of the dielectric barrier discharge tail gas treatment equipment on the harmful substances in the tail gas, reducing the emission of harmful substances, and alleviating the impact of harmful substance emission on the environment.

[0195] The above descriptions are only the preferred embodiments of the present application, and are not intended to limit the present application. The present application can have various modifications and changes for those skilled in the art. Any modifications, equivalent replacements, improvements, 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 of a dielectric barrier discharge exhaust gas treatment apparatus, characterized by, The medium barrier discharge tail gas treatment equipment comprises an airflow channel and a vortex exciter located in the airflow channel, and the method comprises: acquiring tail gas parameters entering the airflow channel, the tail gas parameters comprising tail gas flow, tail gas temperature and tail gas pressure; analyzing the tail gas parameters using a target model to determine control parameters of the vortex exciter, the control parameters comprising reciprocating frequency and amplitude, the target model being trained by machine learning using a plurality of arrays, each of the plurality of arrays comprising historical tail gas parameters and historical control parameters corresponding to the historical tail gas parameters, the historical tail gas parameters comprising historical tail gas flow, historical tail gas temperature and historical tail gas pressure, and the historical control parameters comprising historical reciprocating frequency and historical amplitude; controlling the vortex exciter to operate at the control parameters, so that at least part of an ionization region in the airflow channel is located in a vortex region formed by the vortex exciter.

2. The method of claim 1, wherein, Before analyzing the tail gas parameters using the target model to determine the control parameters of the vortex exciter, the method further comprises: determining the ionization region; determining the historical tail gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions, to obtain the plurality of arrays, the overlap degree of the historical vortex regions and the ionization region being greater than a first threshold value; establishing a feedforward neural network model; training the feedforward neural network model using the plurality of arrays, to obtain the target model, wherein the historical tail gas parameters are used as the input of the feedforward neural network model, and the historical control parameters are used as the output of the feedforward neural network model.

3. The method of claim 2, wherein, Determining the ionization region comprises: acquiring the electric potential of a plurality of regions in the airflow channel; determining the electric field intensity of the plurality of regions according to the electric potential; determining the region corresponding to the electric field intensity greater than a second threshold value as the ionization region according to the plurality of electric field intensities.

4. The method of claim 2, wherein, Determining the historical tail gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions comprises: acquiring a plurality of initial arrays, the initial arrays comprising initial tail gas flow, initial tail gas temperature, initial tail gas pressure, initial reciprocating frequency and initial amplitude; calculating vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions; determining the overlap degree of each of the preliminary vortex regions and the ionization region; determining the preliminary vortex region with the overlap degree greater than a second threshold value as the historical vortex region, and obtaining a predetermined number of arrays by taking the initial array corresponding to the historical vortex region as the array.

5. The method of claim 2, wherein, Determining the historical tail gas parameters and the historical control parameters corresponding to a plurality of historical vortex regions comprises: controlling, under the condition that the initial tail gas parameters remain unchanged, at least one of the initial reciprocating frequency and the initial amplitude is adjusted multiple times to obtain a plurality of initial arrays comprising the initial tail gas parameters and initial control parameters, the initial tail gas parameters comprising initial tail gas flow, initial tail gas temperature and initial tail gas pressure, and the initial tail gas parameters comprising initial tail gas flow, initial tail gas temperature and initial tail gas pressure; a calculation step of calculating vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions; a first determination step of determining a coincidence degree of each of the preliminary vortex regions and the ionization region; a second determination step of determining that the preliminary vortex region with the maximum coincidence degree is the historical vortex region, and that an initial array corresponding to the historical vortex region constitutes the array; an adjustment step of adjusting at least one of the initial exhaust gas flow rate, 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 arrays is obtained.

6. The method according to claim 4 or 5, characterized in that, determining the coincidence degree of each of the preliminary vortex regions and the ionization region includes: According to the formula The degree of coincidence is determined, wherein s is the degree of coincidence, E is the electric field strength of the ionization region, ω is the vortex amount of the preliminary vortex region, dV is the infinitesimal of the space region where the integral is located, and dt is the infinitesimal of time.

7. The method of claim 4 or 5, wherein, calculating vortex regions corresponding to the plurality of initial arrays to obtain a plurality of preliminary vortex regions includes: establishing an initial numerical model by using the Navier-Stokes equation according to the exhaust gas flow rate, the exhaust gas temperature, and the exhaust gas pressure, the initial numerical model being a numerical model of gas flow in the gas flow passage; 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 a gas flow field condition in the gas flow passage; determining vortex quantities of the plurality of preliminary vortex regions according to the gas flow field condition, the vortex quantity representing a distribution condition of the preliminary vortex region in the gas flow passage.

8. The method of claim 1, wherein, The vortex exciter includes a vortex excitation blade and a rotating shaft, the vortex excitation blade and the rotating shaft are connected, and the vortex exciter is controlled to operate at the control parameters, including: controlling the rotating shaft to rotate at the reciprocating frequency and vibrate at the amplitude, so that the rotating shaft drives the vortex excitation blade to reciprocate and vibrate.

9. A control device of a dielectric barrier discharge exhaust gas treatment apparatus, characterized by, The dielectric barrier discharge exhaust gas treatment device includes a gas flow passage and a vortex exciter, the vortex exciter is located in the gas flow passage, and the device includes: an acquisition unit configured to acquire exhaust gas parameters input into the gas flow passage, the exhaust gas parameters including an exhaust gas flow rate, an exhaust gas temperature, and an exhaust gas pressure; a use unit configured to analyze the exhaust gas parameters by using a target model to determine control parameters of the vortex exciter, the control parameters including a reciprocating frequency and an amplitude, the target model being trained by machine learning using a plurality of arrays, each of the plurality of arrays including historical exhaust gas parameters and historical control parameters corresponding to the historical exhaust gas parameters, the historical exhaust gas parameters including a historical exhaust gas flow rate, a historical exhaust gas temperature, and a historical exhaust gas pressure, and the historical control parameters including a historical reciprocating frequency and a historical amplitude; a control unit configured to control the vortex exciter to operate at the control parameters, so that at least part of an ionization region in the gas flow passage is located in a vortex region formed by the vortex exciter.

10. A vehicle characterized by comprising: including: a dielectric barrier discharge exhaust gas treatment device including a gas flow passage and a vortex exciter, the vortex exciter being located in the gas flow passage; A controller comprising one or more processors, 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, the one or more programs including programs for performing any of the methods of claims 1-8.

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