An intelligent control method and system for a dry dust removal vehicle based on numerical simulation

Abstract

The present invention relates to the technical field of dust removal, and an intelligent control method and system for a dry dust removal vehicle based on numerical simulation, including: preliminarily filtering through a gauze in a pipeline to obtain processed dust gas; inputting the processed gas into an intelligent ash removal vehicle to obtain pipeline parameters of a first ash removal pipeline; using a nitrogen pressurization device in the pipeline to pressurize the gas to obtain a first pressurized dust gas, and measuring the flow rate after pressurization; judging whether the flow rate is within a preset range, if not, re-pressurizing and measuring the flow rate; if so, filtering using an inertial ash removal device to obtain a primary ash removal gas and primary filtered dust; using a nitrogen pressurization device in a second ash removal pipeline to pressurize the primary ash removal gas to obtain a secondary pressurized dust gas; filtering the secondary pressurized gas using an ash removal cloth bag to obtain a secondary ash removal gas and secondary filtered dust, discharging the secondary ash removal gas and collecting the filtered dust. The present invention can improve the dust removal efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of dust removal, and particularly to an intelligent control method and system for a dry dust removal vehicle based on numerical simulation. Background Art

[0002] Respirable dust is generated during tunnel construction, and its suppression and treatment technology has always been a research problem that plagues the industry. Traditional dust removal methods, such as vehicle-mounted spray dust removal or pipeline spray dust removal, although to a certain extent alleviate the diffusion of dust, it is difficult to effectively control the dust concentration, resulting in the accumulation of dust in the tunnel. This seriously affects the construction environment of the tunnel. In addition, traditional dust removal methods mainly rely on manual operation, which is not only inefficient but also seriously endangers the physical health of workers.

[0003] In the traditional dry dust removal vehicle system, due to the harsh working environment, including factors such as dust, vibration, and temperature changes, the failure rate of motors increases, and key hardware parts are prone to failures, reducing the reliability of the system. Sensors are also affected by environmental factors, reducing the reliability of the system operation. Summary of the Invention

[0004] The present invention provides an intelligent control method for a dry dust removal vehicle based on numerical simulation and a computer-readable storage medium, and its main purpose is to improve the efficiency of dust removal.

[0005] To achieve the above object, an intelligent control method for a dry dust removal vehicle based on numerical simulation provided by the present invention includes:

[0006] Based on a preset ash removal instruction, using a preset ash conveying pipeline to preliminarily filter the dust gas at the ash discharge point to obtain processed dust gas;

[0007] Input the processed dust gas into a preset intelligent ash removal vehicle, and obtain the first pipeline parameter of the first ash removal pipeline in the intelligent ash removal vehicle. The intelligent ash removal vehicle includes a first ash conveying pipeline, an inertial ash removal device, a second ash conveying pipeline, and ash removal cloth bags. A first nitrogen pressurization device is installed at the first position of the first ash removal pipeline, a gas velocity measuring device is installed at the second position of the first ash removal pipeline, the first position is located at the front end of the second position relative to the flow direction of the first pressurized dust gas, and a second nitrogen pressurization device is installed in the second ash conveying pipeline;

[0008] Use the first nitrogen pressurization device to pressurize the processed dust gas in the intelligent ash removal vehicle to obtain first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity;

[0009] Judge whether the pressurized dust flow velocity of the pressurized dust gas is within the preset flow velocity range of the inertial ash removal device;

[0010] When not present, return the step of pressurizing the processed dust gas in the intelligent dust removal vehicle using the first nitrogen pressurizing device to obtain the first pressurized dust gas, and measuring the flow rate of the pressurized dust gas using a gas velocity measuring device based on the first pipeline parameter to obtain the pressurized dust flow rate;

[0011] When present, use an inertial dust removal device to perform inertial filtration on the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust;

[0012] Use the second nitrogen pressurizing device to perform secondary pressurization on the primary dust removal gas to obtain the secondary pressurized dust gas;

[0013] Use a dust removal cloth bag to filter the secondary pressurized dust gas to obtain the secondary dust removal gas and the secondary filtered dust, discharge the secondary dust removal gas, collect the primary filtered dust and the secondary filtered dust to obtain the dust removal dust.

[0014] Optionally, the step of pressurizing the processed dust gas in the intelligent dust removal vehicle using the first nitrogen pressurizing device to obtain the first pressurized dust gas includes:

[0015] Detect the initial parameters of the processed dust gas, where the initial parameters include temperature, pressure, flow rate, and dust concentration;

[0016] According to the initial parameters of the processed dust gas, use a preset pulse generator to control the nitrogen pressurizing device to inject nitrogen into the first dust removal pipeline in the form of intermittent pulses, and check whether there is local dust accumulation in the first dust removal pipeline after injecting nitrogen;

[0017] When there is local dust accumulation in the first dust removal pipeline, increase the pulse frequency of the pulse generator, reduce the gas output of the nitrogen pressurizing device, and obtain the first pressurized dust gas when there is no local dust accumulation in the first dust removal pipeline,

[0018] When there is no local dust accumulation in the first dust removal pipeline, directly obtain the first pressurized dust gas.

[0019] Optionally, the step of using an inertial dust removal device to perform inertial filtration on the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust when present includes:

[0020] Establish a geometric model of the inertial dust removal device to obtain the inertial dust removal device model, and use the preset ANSYS Meshing to mesh the inertial dust removal device model to obtain the meshed inertial dust removal device model;

[0021] Obtain the meteorology and particle size of the pressurized dust gas to obtain the pressurized dust meteorology and the pressurized dust particle size;

[0022] According to the pressurized dust weather and the pressurized dust particle size, the transient flow field of the pressurized dust gas is solved by using the preset DEM collision model and the pre-constructed electrostatic module to obtain the transient flow field of the dust gas;

[0023] Set multiple gas flow rates based on the preset flow rate range, and perform CFD full simulation based on the grid inertial dust removal equipment model and the transient flow field of the dust gas to extract the separation efficiency and pressure drop data corresponding to the multiple gas flow rates;

[0024] According to the separation efficiency and pressure drop data corresponding to the multiple gas flow rates, use the preset NSGA-III algorithm to output the dust filtration values at the multiple gas flow rates, obtain multiple dust filtration values, and sort the multiple dust filtration values from largest to smallest to obtain the dust filtration value sequence;

[0025] Obtain the highest dust filtration value according to the dust filtration value sequence, and obtain the filtered dust and the ash removal gas corresponding to the highest dust filtration value to obtain the primary ash removal gas and the primary filtered dust.

[0026] Optionally, the secondary pressurization of the primary ash removal gas by the second nitrogen pressurization device to obtain the secondary pressurized dust gas includes:

[0027] Obtain the pipeline parameters of the second ash removal pipeline to obtain the second pipeline parameters, and calculate the tangent angle of the second ash removal pipeline based on the second pipeline parameters to obtain the pipeline tangent angle;

[0028] Use the nitrogen pressurization device to inject nitrogen into the second ash removal pipeline along the pipeline tangent angle to perform secondary pressurization on the primary ash removal gas to obtain the secondary pressurized gas.

[0029] Optionally, after filtering the secondary pressurized dust gas with the ash removal cloth bag to obtain the secondary ash removal gas and the secondary filtered dust;

[0030] Detect the gas flow rate of the secondary filtered dust to obtain the secondary filtered gas flow rate;

[0031] If the secondary filtered gas flow rate is less than the preset gas flow rate threshold, use the preset backwashing device to backwash the ash removal cloth bag for a preset time to obtain the backwashed ash removal cloth bag;

[0032] Redetect the gas flow rate passing through the backwashed ash removal cloth bag to obtain the detected gas flow rate;

[0033] When the detected gas flow rate is less than the preset gas flow rate threshold, generate a notice to replace the ash removal cloth bag;

[0034] When the detected gas flow rate is greater than or equal to the preset gas flow rate threshold, use the backwashed ash removal cloth bag as the standard ash removal cloth bag.

[0035] Optionally, the transient flow field of the pressurized dust gas is solved by using a preset DEM collision model and a pre-built electrostatic module to obtain the transient flow field of the dust gas, including:

[0036] Query the particle characteristics in the pressurized dust gas based on a preset particle query table to obtain the dust gas particle characteristics, and determine a particle model according to the dust gas particle characteristics to obtain the dust gas particle model;

[0037] Use the dust gas particle model and the DEM collision model to obtain the particle contact mechanics model of the pressurized dust gas to obtain the dust gas contact mechanics model;

[0038] Obtain the electric field of the pressurized dust gas to obtain the dust gas electric field, and obtain the geometric model of the dust gas electric field through the electrostatic module to obtain the dust gas electric field model;

[0039] Based on the dust gas contact mechanics model and the dust geometric electric field model, use a preset two-way coupling algorithm to calculate the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas.

[0040] Optionally, before determining whether the pressurized dust gas flow rate of the pressurized dust gas is within the preset flow rate range of the inertial dust removal device, the method further includes:

[0041] Take a sample of the pressurized dust gas to obtain a pressurized dust gas sample, and count the dust particle sizes in the pressurized dust gas sample to obtain the sample dust particle size;

[0042] Divide the pressurized dust gas sample into a first pressurized dust gas sample and a second dust gas sample according to the average value of the sample dust particle sizes, where the dust particle sizes in the first pressurized dust gas sample are greater than the average value of the sample dust particle sizes, and the dust particle sizes in the second pressurized dust gas sample are less than or equal to the average value of the sample dust particle sizes;

[0043] Count the average particle size of the dust particles in the first pressurized dust gas sample to obtain the first dust average particle size;

[0044] Count the average particle size of the dust particles in the second pressurized dust gas sample to obtain the second dust average particle size;

[0045] Obtain the density of the dust particles in the pressurized dust gas to obtain the dust particle density;

[0046] Obtain the gas density in the pressurized dust gas to obtain the pressurized gas density;

[0047] Query the empirical coefficient of the inertial dust removal device, and calculate the preset flow rate range of the inertial dust removal device based on the first dust average particle size, the second dust average particle size, the dust particle density, the pressurized gas density, and the empirical coefficient.

[0048] Optionally, the calculation formula for the preset flow rate range of the inertial ash removal device is:

[0049] ;

[0050] ;

[0051] ;

[0052] wherein, is the gas flow rate of the first dust particle size, is the gas flow rate of the second dust particle size, is the average particle size of the first dust, is the average particle size of the second dust, is the dust particle density, is the density of the pressurized gas, g is the acceleration due to gravity, and k is an empirical coefficient.

[0053] Optionally, the obtaining of the meteorology and particle size of the pressurized dust gas to obtain the pressurized dust meteorology and pressurized dust particle size includes:

[0054] Based on the preset thermocouple temperature set, measure the temperature of the pressurized dust gas to obtain the pressurized dust temperature;

[0055] Use the preset strain type pressure sensor to measure the air pressure of the pressurized dust gas to obtain the pressurized dust air pressure, and measure the humidity of the pressurized dust gas through the preset capacitive humidity sensor to obtain the pressurized dust humidity;

[0056] Take the pressurized dust temperature, pressurized dust air pressure and pressurized dust humidity as the meteorology of the pressurized dust to obtain the pressurized dust meteorology;

[0057] Use the preset laser beam to irradiate the pressurized dust gas, and measure the scattering angle and intensity of the laser beam to obtain the laser scattering angle and laser scattering intensity, and calculate the particle size of the pressurized dust gas using the laser scattering angle and laser scattering intensity to obtain the pressurized dust particle size.

[0058] To achieve the above object, the present invention also provides an intelligent control system for a dry dust removal vehicle based on numerical simulation, including:

[0059] A dust collection module for preliminarily filtering the dust gas at the ash discharge point using a preset ash conveying pipeline based on a preset ash removal instruction to obtain processed dust gas;

[0060] Input the processed dust gas into a preset intelligent dust removal vehicle, and obtain the first pipeline parameter of the first dust removal pipeline in the intelligent dust removal vehicle. The intelligent dust removal vehicle includes a first ash transportation pipeline, an inertial dust removal device, a second ash transportation pipeline, and dust removal cloth bags. A first nitrogen gas pressurization device is installed at the first position of the first dust removal pipeline, and a gas velocity measurement device is installed at the second position of the first dust removal pipeline. The first position is at the front end of the second position relative to the flow direction of the first pressurized dust gas. A second nitrogen gas pressurization device is installed in the second ash transportation pipeline;

[0061] A gas pressurization module, which is used to pressurize the processed dust gas in the intelligent dust removal vehicle by using the first nitrogen gas pressurization device to obtain the first pressurized dust gas, and based on the first pipeline parameter, measure the flow velocity of the pressurized dust gas by using the gas velocity measurement device to obtain the pressurized dust flow velocity;

[0062] A primary filtration module, which is used to judge whether the pressurized dust flow velocity of the pressurized dust gas is within the preset flow velocity range of the inertial dust removal device;

[0063] When it is not, then return to the step of pressurizing the processed dust gas in the intelligent dust removal vehicle by using the first nitrogen gas pressurization device to obtain the first pressurized dust gas, and based on the first pipeline parameter, measuring the flow velocity of the pressurized dust gas by using the gas velocity measurement device to obtain the pressurized dust flow velocity;

[0064] When it is, then use the inertial dust removal device to perform inertial filtration on the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust;

[0065] A secondary filtration module, which is used to perform secondary pressurization on the primary dust removal gas by using the second nitrogen gas pressurization device to obtain the secondary pressurized dust gas;

[0066] Use the dust removal cloth bags to filter the secondary pressurized dust gas to obtain the secondary dust removal gas and the secondary filtered dust, and discharge the secondary dust removal gas, collect the primary filtered dust and the secondary filtered dust to obtain the dust removal dust.

[0067] To solve the above problems, the present invention also provides an electronic device, which includes:

[0068] A memory, which stores at least one instruction; and a processor, which executes the instruction stored in the memory to implement the above-mentioned intelligent control method of the dry dust removal vehicle based on numerical simulation.

[0069] To solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned intelligent control method of the dry dust removal vehicle based on numerical simulation.

[0070] To solve the problems described in the background art, the present invention is based on a preset ash removal instruction, and uses a preset ash transportation pipeline to preliminarily filter the dust gas at the ash discharge point to obtain processed dust gas. The processed dust gas is input into a preset intelligent ash removal vehicle, and the first pipeline parameter of the first ash removal pipeline in the intelligent ash removal vehicle is obtained. The intelligent ash removal vehicle includes a first ash transportation pipeline, an inertial ash removal device, a second ash transportation pipeline, and an ash removal cloth bag. A first nitrogen pressurization device is installed at the first position of the first ash removal pipeline, and a gas velocity measuring device is installed at the second position of the first ash removal pipeline. The first position is at the front end of the second position relative to the flow direction of the first pressurized dust gas. A second nitrogen pressurization device is installed in the second ash transportation pipeline. The first nitrogen pressurization device is used to pressurize the processed dust gas in the intelligent ash removal vehicle to obtain first pressurized dust gas, and based on the first pipeline parameter, the gas velocity measuring device in the first ash removal pipeline is used to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity. It is judged whether the pressurized dust flow velocity of the pressurized dust gas is within the preset flow velocity range of the inertial ash removal device. When it is not, the step of using the nitrogen pressurization device in the first ash removal pipeline to pressurize the processed dust gas to obtain first pressurized dust gas, and based on the first pipeline parameter, using the gas velocity measuring device in the first ash removal pipeline to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity is returned. When it is within, the inertial ash removal device is used to perform inertial filtration on the pressurized dust gas to obtain initially deashed gas and initially filtered dust. The second nitrogen pressurization device is used to perform secondary pressurization on the initially deashed gas to obtain second pressurized dust gas. The ash removal cloth bag is used to filter the second pressurized dust gas to obtain secondarily deashed gas and secondarily filtered dust, and the secondarily deashed gas is discharged, and the initially filtered dust and the secondarily filtered dust are collected to obtain deashed dust. It can be seen that the present invention divides the ash removal process into multiple stages of preliminary filtration, inertial filtration, and secondary filtration, and each stage has a targeted treatment method. Especially before inertial filtration, it is judged whether the pressurized dust flow velocity is within the preset flow velocity range of the inertial ash removal device to ensure that the inertial ash removal device can operate under the best working conditions. Therefore, the present invention can improve the dust removal efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 FIG. is a schematic flow chart of an intelligent control method for a dry dust removal vehicle based on numerical simulation provided by an embodiment of the present invention;

[0072] Figure 2 FIG. is a functional module diagram of an intelligent control system for a dry dust removal vehicle based on numerical simulation provided by an embodiment of the present invention;

[0073] Figure 3 FIG. is a schematic structural diagram of an electronic device for implementing the intelligent control method for a dry dust removal vehicle based on numerical simulation provided by an embodiment of the present invention.

[0074] DESCRIPTION OF THE REFERENCE NUMERALS:

[0075] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0076] The realization, functional features and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0077] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0078] The embodiments of the present application provide an intelligent control method for a dry dust removal vehicle based on numerical simulation. The execution subject of the intelligent control method for the dry dust removal vehicle based on numerical simulation includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiments of the present application. In other words, the intelligent control method for the dry dust removal vehicle based on numerical simulation can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0079] Refer to Figure 1 As shown, it is a flowchart of an intelligent control method for a dry dust removal vehicle based on numerical simulation provided by an embodiment of the present invention. In this embodiment, the intelligent control method for the dry dust removal vehicle based on numerical simulation includes:

[0080] S1. Based on a preset ash removal instruction, use a preset ash conveying pipeline to preliminarily filter the dust gas at the ash discharge point to obtain processed dust gas.

[0081] It can be understood that in order to effectively process the dust gas generated at the ash discharge point, before processing the gas at the ash discharge point through the ash conveying pipeline, it is necessary to first set a screen with a specific material and mesh number inside the ash conveying pipeline. When the dust gas passes through the screen, the physical barrier effect of the screen is used to intercept and filter the dust particles in the dust gas, so as to realize the preliminary purification treatment of the dust gas, achieving the effects of reducing the dust concentration and reducing pollutant emissions.

[0082] Furthermore, the ash removal instruction is a key instruction to ensure the orderly and efficient progress of the ash removal work. In terms of time, it can be started regularly, executed periodically, and stopped regularly; in terms of equipment operation, it can control the opening and closing sequence and time of the ash conveying pipeline, and adjust the cleaning and replacement of the screen in the ash conveying pipeline; in terms of operating parameters, the gas flow rate, pressure range, and screen filtration accuracy can be set.

[0083] It should be understood that during the dust removal process, the selection of the mesh number of the screen is crucial. If the mesh number of the screen is too dense, although it can intercept smaller dust particles and improve the filtration accuracy, it will also significantly increase the resistance to gas passage, resulting in a decrease in the flow rate of the dust gas, and may even cause poor circulation of the dust gas in the ash transportation pipeline, affecting the overall dust removal efficiency. In the embodiments of the present invention, it is not necessary to filter all particulate matters too finely, but mainly to remove those larger interfering substances that will have a significant impact on the equipment or the environment, such as larger dust particles, sundries, etc. Therefore, it is necessary to select a screen with a moderate mesh number according to the specific dust removal environment, which can effectively remove these interfering substances and ensure the normal circulation of the dust gas, so as to ensure the efficient operation of the dust removal system while meeting the dust removal requirements.

[0084] Exemplarily, in a tunnel construction environment, a screen with a mesh number of 10 - 20 can be selected for preliminary filtration, which can effectively filter out sundries and gravel in the gas and maintain good air permeability.

[0085] S2. Input the processed dust gas into a preset intelligent dust removal vehicle, and obtain the first pipeline parameters of the first dust removal pipeline in the intelligent dust removal vehicle. The intelligent dust removal vehicle includes a first ash transportation pipeline, an inertial dust removal device, a second ash transportation pipeline, and a dust removal cloth bag. A first nitrogen pressurization device is installed at the first position of the first dust removal pipeline, a gas velocity measurement device is installed at the second position of the first dust removal pipeline, the first position is at the front end relative to the flow direction of the first pressurized dust gas and is located in front of the second position, and a second nitrogen pressurization device is installed in the second ash transportation pipeline.

[0086] It can be understood that inputting the processed dust gas into a preset intelligent dust removal vehicle and obtaining the pipeline parameters of the first dust removal pipeline to get the first pipeline parameters play key roles in many aspects. On the one hand, accurate pipeline parameters, such as pipe diameter, length, roughness, material, etc., can help maintenance personnel judge whether the pipeline is suitable for the current dust removal requirements, ensure that the pipeline can withstand the gas pressure and flow rate, prevent pipeline rupture, blockage and other faults, ensure the stable operation of the intelligent dust removal vehicle, and improve the dust removal efficiency; on the other hand, based on these parameters, technicians can analyze the flow velocity, pressure distribution and other states of the dust gas in the pipeline according to fluid mechanics knowledge such as Bernoulli's principle, so as to optimize the dust removal plan, such as by adjusting the pipeline layout, selecting appropriate dust removal equipment, etc., further improving the dust removal effect, reducing energy consumption and maintenance costs, and realizing efficient and economical dust removal operations.

[0087] It should be explained that the first dust removal pipeline is a homogeneous pipeline. After the processed dust gas is input into the intelligent dust removal vehicle through the ash transportation pipeline and before the processed dust gas is input into the next stage using the first dust removal pipeline, the parameters of the first dust removal pipeline remain unchanged to avoid affecting the various parameters of the processed dust gas.

[0088] S3. Use the first nitrogen pressurization device to pressurize the dust gas in the intelligent ash removal vehicle to obtain the first pressurized dust gas. Based on the first pipeline parameters, use the gas velocity measurement device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity.

[0089] It can be understood that by pressurizing the treated dust gas with the first nitrogen pressurization device, the first pressurized dust gas can be obtained. This process uses the pressure of nitrogen to enable the dust gas to have sufficient power for subsequent transportation or treatment. At the same time, according to the first pipeline parameters, use the velocity measurement device in the pipeline to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity, which helps to grasp the flow state of the dust gas in the pipeline in real time, provides important data support for the stable operation and optimization adjustment of the system, and ensures the efficiency and reliability of the ash removal system.

[0090] Further, the step of using the first nitrogen pressurization device to pressurize the dust gas in the intelligent ash removal vehicle to obtain the first pressurized dust gas includes:

[0091] Detect the initial parameters of the treated dust gas, where the initial parameters include temperature, pressure, flow rate, and dust concentration;

[0092] According to the initial parameters of the treated dust gas, use the preset pulse generator to control the nitrogen pressurization device to inject nitrogen into the first ash removal pipeline in the form of intermittent pulses, and check whether there is local dust accumulation in the first ash removal pipeline after injecting nitrogen;

[0093] When there is local dust accumulation in the first ash removal pipeline, increase the pulse frequency of the pulse generator, reduce the gas output of the nitrogen pressurization device, and obtain the first pressurized dust gas when there is no local dust accumulation in the first ash removal pipeline.

[0094] When there is no local dust accumulation in the first ash removal pipeline, directly obtain the first pressurized dust gas.

[0095] Among them, the pulse generator is a special instrument that can generate pulse signals. It can generate pulse signals with specific frequencies, amplitudes, and pulse widths. In the described scenario, the pulse generator is used to control the nitrogen pressurization device to inject nitrogen into the first ash removal pipeline in the form of intermittent pulses. Its working principle usually involves components such as oscillators, counters, multivibrator circuits, and flip-flops. Through the coordinated work of these components, stable and continuous pulse signals can be generated. The pulse generator can adjust the frequency, width, and amplitude of the pulse according to the preset parameters to adapt to different application scenarios and requirements.

[0096] It should be understood that when injecting nitrogen into the first ash removal pipeline in the form of intermittent pulses using a pulse generator, the pulse pressure, duration, and frequency can be dynamically adjusted according to the real-time local dust accumulation situation in the dust gas to scour the inner wall of the first ash removal pipeline and prevent dust settlement and accumulation.

[0097] S4. Determine whether the pressurized dust flow rate of the pressurized dust gas is within the preset flow rate range of the inertial ash removal device.

[0098] Among them, the preset flow rate range is the required range of gas flow rate for entering the next stage, that is, when using the inertial ash removal device for ash removal.

[0099] It should be explained that before determining whether the pressurized dust flow rate of the pressurized dust gas is within the preset flow rate range of the inertial ash removal device, the method further includes:

[0100] Take a sample of the pressurized dust gas to obtain a pressurized dust gas sample, count the dust particle sizes in the pressurized dust gas sample, and obtain the sample dust particle size;

[0101] Divide the pressurized dust gas sample into a first pressurized dust gas sample and a second dust gas sample according to the average value of the sample dust particle size. Among them, the dust particle size in the first pressurized dust gas sample is greater than the average value of the sample dust particle size, and the dust particle size in the second pressurized dust gas sample is less than or equal to the average value of the sample dust particle size;

[0102] Count the average dust particle size of the dust particles in the first pressurized dust gas sample to obtain the first average dust particle size;

[0103] Count the average dust particle size of the dust particles in the second pressurized dust gas sample to obtain the second average dust particle size;

[0104] Obtain the density of the dust particles in the pressurized dust gas to obtain the dust particle density;

[0105] Obtain the gas density in the pressurized dust gas to obtain the pressurized gas density;

[0106] Query the empirical coefficient of the inertial ash removal device, and calculate the preset flow rate range of the inertial ash removal device based on the first average dust particle size, the second average dust particle size, the dust particle density, the pressurized gas density, and the empirical coefficient.

[0107] Among them, the calculation formula for calculating the preset flow rate range of the inertial ash removal device is:

[0108] ;

[0109] ;

[0110] ;

[0111] Among them, is the gas flow rate of the first dust particle size, is the gas flow rate of the second dust particle size, is the average particle size of the first dust, is the average particle size of the second dust, is the dust particle density, is the density of the pressurized gas, g is the acceleration due to gravity, and k is an empirical coefficient.

[0112] Among them, k is generally determined by experiments, and its value is related to the equipment structure, etc.

[0113] S5. When not present, return the step of pressurizing the treated dust gas in the intelligent dust removal vehicle using the first nitrogen pressurization equipment to obtain the first pressurized dust gas, and based on the first pipeline parameters, measuring the flow rate of the pressurized dust gas using the gas velocity measuring equipment to obtain the pressurized dust flow rate.

[0114] It should be understood that when the flow rate of the pressurized dust gas exceeds the preset flow rate range, the system will automatically return to the nitrogen pressurization link to repressurize the dust gas, and then measure the flow rate using the velocity measuring equipment again until the pressurized dust flow rate reaches the preset flow rate range, so as to ensure that the dust removal system can operate stably and effectively and maintain a reasonable flow state of the dust gas in the pipeline.

[0115] S6. When present, use the inertial dust removal equipment to perform inertial filtration on the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust.

[0116] It should be understood that when present, using the inertial dust removal equipment to perform inertial filtration on the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust includes:

[0117] Establish a geometric model of the inertial dust removal equipment to obtain the inertial dust removal equipment model, and use the preset ANSYS Meshing to mesh the inertial dust removal equipment model to obtain the meshed inertial dust removal equipment model;

[0118] Obtain the meteorology and particle size of the pressurized dust gas to obtain the pressurized dust meteorology and the pressurized dust particle size;

[0119] According to the pressurized dust meteorology and the pressurized dust particle size, use the preset DEM collision model and the pre-constructed electrostatic module to solve the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas;

[0120] Set multiple gas flow rates based on a preset flow rate range, and perform CFD full simulation based on the grid inertial dust removal equipment model and the transient flow field of dusty gas to extract the separation efficiency and pressure drop data corresponding to the multiple gas flow rates;

[0121] According to the separation efficiency and pressure drop data corresponding to the multiple gas flow rates, use the preset NSGA-III algorithm to output the dust filtration values at the multiple gas flow rates, obtain multiple dust filtration values, and sort the multiple dust filtration values from largest to smallest to obtain a dust filtration value sequence;

[0122] Obtain the highest dust filtration value according to the dust filtration value sequence, and obtain the filtered dust and ash removal gas corresponding to the highest dust filtration value to obtain the primary ash removal gas and the primary filtered dust.

[0123] Furthermore, the dust filtration value is a quantitative index used to measure the dust filtration effect of the inertial dust removal equipment at different gas flow rates, and is calculated based on the separation efficiency and pressure drop data corresponding to the multiple gas flow rates through the preset NSGA-III algorithm. The dust filtration value comprehensively reflects the ability of the inertial dust removal equipment to separate and filter dust from the gas under specific gas flow rate conditions. The larger the value, the better the filtration effect of the dust removal equipment at this flow rate, and it can more effectively separate the dust from the pressurized dusty gas to obtain cleaner gas and filtered dust.

[0124] Among them, ANSYS Meshing refers to a tool used to mesh the geometric model of the inertial dust removal equipment. Specifically, ANSYS Meshing divides the geometric model of the inertial dust removal equipment into a large number of small units (meshes) for subsequent computational fluid dynamics (CFD) simulation. Through meshing, the flow behavior of pressurized dusty gas inside the equipment can be more accurately simulated, thereby calculating key parameters such as separation efficiency and pressure drop.

[0125] Among them, the DEM (Discrete Element Method) collision model is a computational method used to simulate the interaction between particles or between particles and boundaries. The DEM collision model is based on Newton's second law and predicts the behavior of particles by calculating the motion and interaction forces of particles. In DEM, particles are regarded as rigid or flexible bodies, and their motion and interaction are described by contact forces.

[0126] Among them, CFD full simulation, that is, Computational Fluid Dynamics (CFD) full simulation, is a method that uses computer technology to numerically simulate and analyze fluid flow and its related physical phenomena. It combines multidisciplinary knowledge such as fluid mechanics, numerical analysis, and computer science, and predicts the behavior and characteristics of fluids under specific conditions by solving the control equations of fluid flow.

[0127] Among them, the NSGA-III (Non-dominated Sorting Genetic Algorithm III) algorithm is an evolutionary algorithm for multi-objective optimization, proposed by Kalyanmoy Deb and Harshit Jain in 2014. It is an improved version of NSGA-II, mainly aimed at high-dimensional multi-objective optimization problems (usually containing 4 or more objective functions).

[0128] Furthermore, the use of the preset DEM collision model and the pre-constructed electrostatic module to solve the transient flow field of pressurized dusty gas to obtain the transient flow field of dusty gas includes:

[0129] Query the particle characteristics in the pressurized dusty gas based on the preset particle lookup table to obtain the particle characteristics of the dusty gas, and determine the particle model according to the particle characteristics of the dusty gas to obtain the particle model of the dusty gas;

[0130] Use the particle model of the dusty gas and the DEM collision model to obtain the particle contact mechanics model of the pressurized dusty gas to obtain the contact mechanics model of the dusty gas;

[0131] Obtain the electric field of the pressurized dusty gas to obtain the electric field of the dusty gas, and obtain the geometric model of the electric field of the dusty gas through the electrostatic module to obtain the electric field model of the dusty gas;

[0132] Based on the contact mechanics model of the dusty gas and the geometric electric field model of the dusty gas, use the preset two-way coupling algorithm to calculate the transient flow field of the pressurized dusty gas to obtain the transient flow field of the dusty gas.

[0133] It should be understood that the obtaining of the meteorology and particle size of the pressurized dusty gas to obtain the pressurized dusty gas meteorology and pressurized dusty gas particle size includes:

[0134] Measure the temperature of the pressurized dusty gas based on the preset thermocouple temperature set to obtain the pressurized dusty gas temperature;

[0135] Measure the air pressure of the pressurized dusty gas using the preset strain gauge pressure sensor to obtain the pressurized dusty gas air pressure, and measure the humidity of the pressurized dusty gas through the preset capacitive humidity sensor to obtain the pressurized dusty gas humidity;

[0136] Taking the pressurized dust temperature, pressurized dust air pressure, and pressurized dust humidity as the meteorology of the pressurized dust, the pressurized dust meteorology is obtained.

[0137] Irradiate the pressurized dust gas with a preset laser beam, measure the scattering angle and intensity of the laser beam to obtain the laser scattering angle and laser scattering intensity, and calculate the particle size of the pressurized dust gas using the laser scattering angle and laser scattering intensity to obtain the pressurized dust particle size.

[0138] S7. Use the second nitrogen pressurizing device to perform secondary pressurization on the primary dust-removing gas to obtain the secondary pressurized dust gas.

[0139] It can be understood that using the nitrogen pressurizing device in the second dust-removing pipeline to perform secondary pressurization on the primary dust-removing gas can further increase the pressure of the dust gas, enabling it to have stronger conveying capacity and separation effect. This process can ensure that the dust gas is more effectively separated and filtered in the subsequent dust-removing equipment, thereby improving the overall dust-removing efficiency and effect. Through secondary pressurization, the flow rate and pressure of the dust gas can be better controlled, enabling it to operate more stably in the dust-removing system and reducing the risk of pipeline blockage and equipment wear.

[0140] Furthermore, the step of using the second nitrogen pressurizing device to perform secondary pressurization on the primary dust-removing gas to obtain the secondary pressurized dust gas includes:

[0141] Obtain the pipeline parameters of the second dust-removing pipeline to get the second pipeline parameters, and calculate the tangent angle of the second dust-removing pipeline based on the second pipeline parameters to obtain the pipeline tangent angle.

[0142] Use the nitrogen pressurizing device to inject nitrogen into the second dust-removing pipeline along the pipeline tangent angle to perform secondary pressurization on the primary dust-removing gas to obtain the secondary pressurized gas.

[0143] It should be understood that injecting nitrogen into the second dust-removing pipeline along the tangent angle of the pipeline can utilize the centrifugal force of high-speed rotation to enable nitrogen to fully and quickly mix with the primary dust-removing gas and further pressurize it. Under the action of the centrifugal force, the dust particles in the primary dust-removing gas gather towards the wall surface, forming a flow pattern similar to a "cyclone", while nitrogen fills the central and interstitial regions, continuously pushing the dust particles forward to strengthen the mixing and pressurization effects.

[0144] S8. Filter the secondary pressurized dust gas using a dust-removing cloth bag to obtain the secondary dust-removing gas and secondary filtered dust, discharge the secondary dust-removing gas, collect the primary filtered dust and secondary filtered dust to obtain the dust-removing dust.

[0145] It should be understood that after filtering the secondary pressurized dust gas using the dust-removing cloth bag to obtain the secondary dust-removing gas and secondary filtered dust;

[0146] Detect the gas flow rate of the secondary filtered dust to obtain the secondary filtered gas flow rate;

[0147] If the secondary filtered gas flow rate is less than the preset gas flow rate threshold, use the preset backwashing device to backwash the dust removal cloth bag for a preset time to obtain the backwashed dust removal cloth bag;

[0148] Redetect the gas flow rate passing through the backwashed dust removal cloth bag to obtain the detected gas flow rate;

[0149] When the detected gas flow rate is less than the preset gas flow rate threshold, generate a notice to replace the dust removal cloth bag;

[0150] When the detected gas flow rate is greater than or equal to the preset gas flow rate threshold, use the backwashed dust removal cloth bag as the standard dust removal cloth bag.

[0151] Further, after using the dust removal cloth bag to filter the secondary pressurized dust gas to obtain secondary dust-removed gas and secondary filtered dust, discharging the secondary dust-removed gas, collecting the primary filtered dust and the secondary filtered dust to obtain the dust for ash removal, the method further includes:

[0152] When unloading the ash removal dust, lift the carriage of the intelligent ash removal vehicle. After lifting the carriage of the intelligent ash removal vehicle to the preset height, unload the ash removal dust, and discharge the residual dust in the dust removal cloth bag through the door of the intelligent ash removal vehicle.

[0153] To solve the problems in the background art, based on a preset ash removal instruction, the present invention preliminarily filters the dust gas at the ash discharge point by using a preset ash conveying pipeline to obtain processed dust gas; inputs the processed dust gas into a preset intelligent ash removal vehicle, and obtains the first pipeline parameter of the first ash removal pipeline in the intelligent ash removal vehicle. The intelligent ash removal vehicle includes a first ash conveying pipeline, an inertial ash removal device, a second ash conveying pipeline, and an ash removal cloth bag. A first nitrogen pressurizing device is installed at the first position of the first ash removal pipeline, and a gas velocity measuring device is installed at the second position of the first ash removal pipeline. The first position is at the front end of the second position relative to the flow direction of the first pressurized dust gas. A second nitrogen pressurizing device is installed in the second ash conveying pipeline; uses the first nitrogen pressurizing device to pressurize the processed dust gas in the intelligent ash removal vehicle to obtain first pressurized dust gas, and based on the first pipeline parameter, uses the gas velocity measuring device in the first ash removal pipeline to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity; determines whether the pressurized dust flow velocity of the pressurized dust gas is within the preset flow velocity range of the inertial ash removal device; when it is not, then returns to the step of using the nitrogen pressurizing device in the first ash removal pipeline to pressurize the processed dust gas to obtain first pressurized dust gas, and based on the first pipeline parameter, uses the gas velocity measuring device in the first ash removal pipeline to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity; when it is, then uses the inertial ash removal device to perform inertial filtration on the pressurized dust gas to obtain primary ash removal gas and primary filtered dust; uses the second nitrogen pressurizing device to perform secondary pressurization on the primary ash removal gas to obtain secondary pressurized dust gas; uses the ash removal cloth bag to filter the secondary pressurized dust gas to obtain secondary ash removal gas and secondary filtered dust, and discharges the secondary ash removal gas, collects the primary filtered dust and the secondary filtered dust to obtain ash removal dust. It can be seen that the present invention divides the ash removal process into multiple stages such as preliminary filtration, inertial filtration, and secondary filtration, and each stage has a targeted treatment method. Especially before inertial filtration, it is judged whether the pressurized dust flow velocity is within the preset flow velocity range of the inertial ash removal device to ensure that the inertial ash removal device can operate under the best working conditions. Therefore, the present invention can improve the dust removal efficiency.

[0154] As Figure 2 shown, it is a functional module diagram of an intelligent control system for a dry dust removal vehicle based on numerical simulation provided by an embodiment of the present invention.

[0155] The intelligent control system 100 for a dry dust removal vehicle based on numerical simulation according to the present invention can be installed in an electronic device. According to the realized functions, the intelligent control system 100 for a dry dust removal vehicle based on numerical simulation can include a dust collection module 101, a gas pressurization module 102, a primary filtration module 103, and a secondary filtration module 104. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, and are stored in the memory of the electronic device.

[0156] The dust collection module 101 is configured to preliminarily filter the dust gas at the ash discharge point based on a preset ash removal instruction by using a preset ash conveying pipeline to obtain a processed dust gas.

[0157] The processed dust gas is input into a preset intelligent ash removal vehicle, and first pipeline parameters of a first ash removal pipeline in the intelligent ash removal vehicle are obtained. The intelligent ash removal vehicle includes a first ash conveying pipeline, an inertial ash removal device, a second ash conveying pipeline, and an ash removal cloth bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, and a gas velocity measuring device is installed at a second position of the first ash removal pipeline. The first position is at the front end of the second position relative to the flow direction of the first pressurized dust gas, and a second nitrogen pressurizing device is installed in the second ash conveying pipeline.

[0158] The gas pressurizing module 102 is configured to pressurize the processed dust gas in the intelligent ash removal vehicle by using the first nitrogen pressurizing device to obtain a first pressurized dust gas, and measure the flow velocity of the pressurized dust gas by using the gas velocity measuring device based on the first pipeline parameters to obtain a pressurized dust flow velocity.

[0159] The primary filtration module 103 is configured to determine whether the pressurized dust flow velocity of the pressurized dust gas is within a preset flow velocity range of the inertial ash removal device.

[0160] If not, the step of pressurizing the processed dust gas in the intelligent ash removal vehicle by using the first nitrogen pressurizing device to obtain a first pressurized dust gas and measuring the flow velocity of the pressurized dust gas by using the gas velocity measuring device based on the first pipeline parameters to obtain a pressurized dust flow velocity is returned.

[0161] If so, the inertial ash removal device is used to perform inertial filtration on the pressurized dust gas to obtain a primary ash removal gas and primary filtered dust.

[0162] The secondary filtration module 104 is configured to perform secondary pressurization on the primary ash removal gas by using the second nitrogen pressurizing device to obtain a secondary pressurized dust gas.

[0163] The secondary pressurized dust gas is filtered by using the ash removal cloth bag to obtain a secondary ash removal gas and secondary filtered dust, and the secondary ash removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain ash removal dust.

[0164] Specifically, when the modules in the intelligent control system 100 of the dry dust removal vehicle based on numerical simulation in the embodiments of the present invention are used, the same technical means as those in the above Figure 1 described intelligent control method of the dry dust removal vehicle based on numerical simulation are adopted, and the same technical effects can be produced, which will not be elaborated here.

[0165] AsFigure 3 As shown, it is a schematic structural diagram of an electronic device for implementing an intelligent control method of a dry dust removal vehicle based on numerical simulation provided by an embodiment of the present invention.

[0166] The electronic device 1 may include a processor 10, a memory 11, and a bus 12, and may further include a computer program stored in the memory 11 and executable on the processor 10, such as an intelligent control method program for a dry dust removal vehicle based on numerical simulation.

[0167] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disc, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as the mobile hard disk of the electronic device 1. In some other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 1. Further, the memory 11 also includes the internal storage unit of the electronic device 1 and also includes external storage devices. The memory 11 can not only be used to store application software installed in the electronic device 1 and various types of data, such as the code of an intelligent control method program for a dry dust removal vehicle based on numerical simulation, but also be used to temporarily store data that has been output or will be output.

[0168] In some embodiments, the processor 10 may be composed of integrated circuits. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions, including a combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and lines, and by running or executing programs or modules stored in the memory 11 (such as an intelligent control method program for a dry dust removal vehicle based on numerical simulation, etc.), and calling data stored in the memory 11, to execute various functions of the electronic device 1 and process data.

[0169] The bus 12 can be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to implement the connection and communication between the memory 11 and at least one processor 10, etc.

[0170] Figure 3 Only an electronic device with components is shown. Those skilled in the art can understand that Figure 3 the shown structure does not constitute a limitation on the electronic device 1, and it may include fewer or more components than shown, or combine certain components, or have a different component arrangement.

[0171] For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for powering each component. Preferably, the power source can be logically connected to the at least one processor 10 through a power management device, so as to implement functions such as charge management, discharge management, and power consumption management through the power management device. The power source may also include any components such as one or more DC or AC power sources, a recharge device, a power failure detection circuit, a power converter or inverter, and a power status indicator. The electronic device 1 may also include various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0172] Furthermore, the electronic device 1 may further include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0173] Optionally, the electronic device 1 may further include a user interface. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display the information processed in the electronic device 1 and to display a visual user interface.

[0174] The program of the intelligent control method for the dry dust removal vehicle based on numerical simulation stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0175] Based on a preset ash removal instruction, use a preset ash transportation pipeline to obtain the dust gas at the ash discharge point, and preliminarily filter the dust gas through the ash transportation pipeline to obtain the processed dust gas;

[0176] Input the processed dust gas into a preset intelligent ash removal vehicle, and obtain the first pipeline parameter of the first ash removal pipeline in the intelligent ash removal vehicle. Among them, the intelligent ash removal vehicle includes a first ash transportation pipeline, an inertial ash removal device, a second ash transportation pipeline, and an ash removal cloth bag. A first nitrogen pressurizing device is installed at the first position of the first ash removal pipeline, a gas velocity measuring device is installed at the second position of the first ash removal pipeline, the first position is at the front end of the second position relative to the flow direction of the first pressurized dust gas, and a second nitrogen pressurizing device is installed in the second ash transportation pipeline;

[0177] Use the first nitrogen pressurizing device to pressurize the processed dust gas in the intelligent ash removal vehicle to obtain the first pressurized dust gas. Based on the first pipeline parameter, use the gas velocity measuring device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity;

[0178] Judge whether the pressurized dust flow velocity of the pressurized dust gas is within the preset flow velocity range of the inertial ash removal device;

[0179] When it is not, then return to the step of using the first nitrogen pressurizing device to pressurize the processed dust gas in the intelligent ash removal vehicle to obtain the first pressurized dust gas. Based on the first pipeline parameter, use the gas velocity measuring device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity;

[0180] When it is, then use the inertial ash removal device to perform inertial filtration on the pressurized dust gas to obtain the primary ash removal gas and the primary filtered dust;

[0181] Use the second nitrogen pressurizing device to perform secondary pressurization on the primary ash removal gas to obtain the secondary pressurized dust gas;

[0182] Use the ash removal cloth bag to filter the secondary pressurized dust gas to obtain the secondary ash removal gas and the secondary filtered dust, and discharge the secondary ash removal gas, collect the primary filtered dust and the secondary filtered dust to obtain the ash removal dust.

[0183] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 the description of the relevant steps in the corresponding embodiment, which will not be elaborated here.

[0184] Furthermore, if the modules / units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0185] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can implement:

[0186] Based on a preset dust removal instruction, use a preset ash conveying pipeline to preliminarily filter the dust gas at the ash discharge point to obtain a treated dust gas;

[0187] Input the treated dust gas into a preset intelligent dust removal vehicle, and obtain the first pipeline parameter of the first ash conveying pipeline in the intelligent dust removal vehicle. Among them, the intelligent dust removal vehicle includes a first ash conveying pipeline, an inertial dust removal device, a second ash conveying pipeline, and a dust removal cloth bag. A first nitrogen pressurizing device is installed at the first position of the first ash conveying pipeline, a gas velocity measuring device is installed at the second position of the first ash conveying pipeline, the first position is located at the front end of the second position relative to the flow direction of the first pressurized dust gas, and a second nitrogen pressurizing device is installed in the second ash conveying pipeline;

[0188] Use the first nitrogen pressurizing device to pressurize the treated dust gas in the intelligent dust removal vehicle to obtain a first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity;

[0189] Judge whether the pressurized dust flow velocity of the pressurized dust gas is within the preset flow velocity range of the inertial dust removal device;

[0190] When it is not, then return to the step of using the first nitrogen pressurizing device to pressurize the treated dust gas in the intelligent dust removal vehicle to obtain a first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity;

[0191] When it is, then use the inertial dust removal device to perform inertial filtration on the pressurized dust gas to obtain a primary dust removal gas and primary filtered dust;

[0192] Use the second nitrogen pressurizing device to perform secondary pressurization on the primary dust removal gas to obtain a secondary pressurized dust gas;

[0193] The secondary pressurized dust gas is filtered by the dust removal cloth bag to obtain the secondary dust removal gas and the secondary filtered dust, the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain the dust removal dust.

[0194] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, and there may be other partitioning methods in actual implementation.

[0195] The module described as a separation component may or may not be physically separated. The components shown as modules may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0196] In addition, in each embodiment of the present invention, the functional modules can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a hardware plus software functional module.

[0197] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0198] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An intelligent control method for a dry dust removal vehicle based on numerical simulation, characterized in that, The method includes: Based on a preset dust removal instruction, preliminarily filter the dust gas at the ash discharge point using a preset ash transportation pipeline to obtain treated dust gas; Input the treated dust gas into a preset intelligent dust removal vehicle, and obtain the first pipeline parameter of the first dust removal pipeline in the intelligent dust removal vehicle. The intelligent dust removal vehicle includes a first ash transportation pipeline, an inertial dust removal device, a second ash transportation pipeline, and a dust removal cloth bag. A first nitrogen gas pressurization device is installed at the first position of the first dust removal pipeline, a gas velocity measuring device is installed at the second position of the first dust removal pipeline. The first position is at the front end of the second position relative to the flow direction of the first pressurized dust gas, and a second nitrogen gas pressurization device is installed in the second ash transportation pipeline; Use the first nitrogen gas pressurization device to pressurize the treated dust gas in the intelligent dust removal vehicle to obtain first pressurized dust gas. Based on the first pipeline parameter, use the gas velocity measuring device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity; Judge whether the pressurized dust flow velocity of the pressurized dust gas is within the preset flow velocity range of the inertial dust removal device; When it is not, return to the step of using the first nitrogen gas pressurization device to pressurize the treated dust gas in the intelligent dust removal vehicle to obtain first pressurized dust gas. Based on the first pipeline parameter, use the gas velocity measuring device to measure the flow velocity of the pressurized dust gas to obtain the pressurized dust flow velocity; When it is, use the inertial dust removal device to perform inertial filtration on the pressurized dust gas to obtain primary dust removal gas and primary filtered dust; Use the second nitrogen gas pressurization device to perform secondary pressurization on the primary dust removal gas to obtain secondary pressurized dust gas; Use the dust removal cloth bag to filter the secondary pressurized dust gas to obtain secondary dust removal gas and secondary filtered dust, and discharge the secondary dust removal gas, collect the primary filtered dust and the secondary filtered dust to obtain dust removal dust; Among them, the step of when it is, use the inertial dust removal device to perform inertial filtration on the pressurized dust gas to obtain primary dust removal gas and primary filtered dust includes: Establish a geometric model of the inertial dust removal device to obtain an inertial dust removal device model, and use the preset ANSYS Meshing to mesh the inertial dust removal device model to obtain a meshed inertial dust removal device model; Obtain the meteorology and particle size of the pressurized dust gas to obtain pressurized dust meteorology and pressurized dust particle size; According to the pressurized dust meteorology and pressurized dust particle size, use the preset DEM collision model and the pre-constructed electrostatic module to solve the transient flow field of the pressurized dust gas to obtain the dust gas transient flow field; Set multiple gas flow velocities based on the preset flow velocity range, and perform CFD full simulation based on the meshed inertial dust removal device model and the dust gas transient flow field to extract separation efficiency and pressure drop data corresponding to the multiple gas flow velocities; According to the separation efficiency and pressure drop data corresponding to the multiple gas flow velocities, use the preset NSGA-III algorithm to output dust filtration values at the multiple gas flow velocities to obtain multiple dust filtration values, and sort the multiple dust filtration values from largest to smallest to obtain a dust filtration value sequence; Obtain the highest dust filtration value according to the dust filtration value sequence, and obtain the filtered dust and ash removal gas corresponding to the highest dust filtration value to obtain the primary ash removal gas and the primary filtered dust; Among them, the transient flow field of the pressurized dust gas is solved by using the preset DEM collision model and the pre-constructed electrostatic module to obtain the transient flow field of the dust gas, including: Query the particle characteristics in the pressurized dust gas based on the preset particle query table to obtain the particle characteristics of the dust gas, and determine the particle model according to the particle characteristics of the dust gas to obtain the particle model of the dust gas; Use the particle model of the dust gas and the DEM collision model to obtain the particle contact mechanics model of the pressurized dust gas to obtain the contact mechanics model of the dust gas; Obtain the electric field of the pressurized dust gas to obtain the electric field of the dust gas, and obtain the geometric model of the electric field of the dust gas through the electrostatic module to obtain the electric field model of the dust gas; Based on the contact mechanics model of the dust gas and the geometric electric field model of the dust, use the preset bidirectional coupling algorithm to calculate the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas; Among them, obtaining the meteorology and particle size of the pressurized dust gas to obtain the pressurized dust meteorology and the pressurized dust particle size includes: Measure the temperature of the pressurized dust gas based on the preset thermocouple temperature set to obtain the pressurized dust temperature; Measure the air pressure of the pressurized dust gas by using the preset strain gauge pressure sensor to obtain the pressurized dust air pressure, and measure the humidity of the pressurized dust gas by using the preset capacitive humidity sensor to obtain the pressurized dust humidity; Take the pressurized dust temperature, the pressurized dust air pressure and the pressurized dust humidity as the meteorology of the pressurized dust to obtain the pressurized dust meteorology; Irradiate the pressurized dust gas with a preset laser beam, and measure the scattering angle and intensity of the laser beam to obtain the laser scattering angle and the laser scattering intensity, and calculate the particle size of the pressurized dust gas by using the laser scattering angle and the laser scattering intensity to obtain the pressurized dust particle size.

2. The intelligent control method of the dry dust removal vehicle based on numerical simulation according to claim 1, wherein, Pressurizing the treated dust gas in the intelligent ash removal vehicle by using the first nitrogen pressurizing device to obtain the first pressurized dust gas, including: Detect the initial parameters of the treated dust gas, where the initial parameters include temperature, pressure, flow rate, and dust concentration; According to the initial parameters of the treated dust gas, use the preset pulse generator to control the nitrogen pressurizing device to inject nitrogen into the first ash removal pipeline in the form of intermittent pulses, and check whether there is local dust accumulation in the first ash removal pipeline after injecting nitrogen; When there is local dust accumulation in the first ash removal pipeline, increase the pulse frequency of the pulse generator, reduce the gas output of the nitrogen pressurizing device, and obtain the first pressurized dust gas when there is no local dust accumulation in the first ash removal pipeline, When there is no local dust accumulation in the first ash removal pipeline, directly obtain the first pressurized dust gas.

3. The intelligent control method of the dry dust removal vehicle based on numerical simulation according to claim 1, wherein, Pressurizing the primary ash removal gas by using the second nitrogen pressurizing device to obtain the secondary pressurized dust gas, including: Obtain the pipeline parameters of the second ash removal pipeline to obtain the second pipeline parameters, and calculate the tangent angle of the second ash removal pipeline based on the second pipeline parameters to obtain the pipeline tangent angle; Use a nitrogen pressurization device to inject nitrogen into the second ash removal pipeline at a tangential angle along the pipeline, perform secondary pressurization on the primary ash removal gas, and obtain secondary pressurized gas.

4. The intelligent control method of the dry dust removal vehicle based on numerical simulation according to claim 1, characterized in that, After using the ash removal cloth bag to filter the secondary pressurized dust gas to obtain secondary ash removal gas and secondary filtered dust; Detect the gas flow rate of the secondary filtered dust to obtain the secondary filtered gas flow rate; If the secondary filtered gas flow rate is less than the preset gas flow rate threshold, use a preset backwashing device to backwash the ash removal cloth bag for a preset time to obtain a backwashed ash removal cloth bag; Redetect the gas flow rate passing through the backwashed ash removal cloth bag to obtain the detected gas flow rate; When the detected gas flow rate is less than the preset gas flow rate threshold, generate a notice to replace the ash removal cloth bag; When the detected gas flow rate is greater than or equal to the preset gas flow rate threshold, use the backwashed ash removal cloth bag as the standard ash removal cloth bag.

5. The intelligent control method of the dry dust removal vehicle based on numerical simulation according to claim 1, wherein Before determining whether the pressurized dust flow rate of the pressurized dust gas is within the preset flow rate range of the inertial ash removal device, the method further includes: Take a sample of the pressurized dust gas to obtain a pressurized dust gas sample, count the dust particle sizes in the pressurized dust gas sample, and obtain the sample dust particle size; Divide the pressurized dust gas sample into a first pressurized dust gas sample and a second dust gas sample according to the average value of the sample dust particle sizes. Among them, the dust particle sizes in the first pressurized dust gas sample are greater than the average value of the sample dust particle sizes, and the dust particle sizes in the second pressurized dust gas sample are less than or equal to the average value of the sample dust particle sizes; Count the average particle size of the dust particles in the first pressurized dust gas sample to obtain the first dust average particle size; Count the average particle size of the dust particles in the second pressurized dust gas sample to obtain the second dust average particle size; Obtain the density of the dust particles in the pressurized dust gas to obtain the dust particle density; Obtain the gas density in the pressurized dust gas to obtain the pressurized gas density; Query the empirical coefficient of the inertial ash removal device, and calculate the preset flow rate range of the inertial ash removal device based on the first dust average particle size, the second dust average particle size, the dust particle density, the pressurized gas density, and the empirical coefficient.

6. The intelligent control method of the dry dust removal vehicle based on numerical simulation according to claim 5, wherein The calculation formula for the preset flow rate range is: ； ； ； Among them, is the gas flow rate of the first dust particle size, is the gas flow rate of the second dust particle size, is the average particle size of the first dust, is the average particle size of the second dust, is the dust particle density, is the pressurized gas density, g is the acceleration due to gravity, and k is an empirical coefficient.

7. An intelligent control system for a dry dust removal vehicle based on numerical simulation, characterized in that, The system includes: A dust collection module for preliminarily filtering the dust gas at the ash discharge point using a preset ash removal pipeline based on a preset ash removal instruction to obtain processed dust gas; Input the processed dust gas into a preset intelligent ash removal vehicle, and obtain the first pipeline parameter of the first ash removal pipeline in the intelligent ash removal vehicle. The intelligent ash removal vehicle includes a first ash transportation pipeline, an inertial ash removal device, a second ash transportation pipeline, and an ash removal cloth bag. A first nitrogen pressurization device is installed at the first position of the first ash removal pipeline, a gas velocity measurement device is installed at the second position of the first ash removal pipeline. The first position is in front of the second position relative to the flow direction of the first pressurized dust gas, and a second nitrogen pressurization device is installed in the second ash transportation pipeline; A gas pressurization module for pressurizing the processed dust gas in the intelligent ash removal vehicle using the first nitrogen pressurization device to obtain a first pressurized dust gas, and measuring the flow rate of the pressurized dust gas using the gas velocity measurement device based on the first pipeline parameter to obtain the pressurized dust flow rate; The primary filtration module is used to determine whether the pressurized dust flow rate of the pressurized dust gas is within the preset flow rate range of the inertial dust removal device; When it is not, it returns the step of pressurizing the processed dust gas in the intelligent dust removal vehicle by using the first nitrogen pressurization device to obtain the first pressurized dust gas, and measuring the flow rate of the pressurized dust gas by using the gas velocity measuring device based on the first pipeline parameters to obtain the pressurized dust flow rate; When it is, the inertial dust removal device is used to perform inertial filtration on the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; Among them, the step of "when it is, the inertial dust removal device is used to perform inertial filtration on the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust" includes: Establish a geometric model of the inertial dust removal device to obtain the inertial dust removal device model, and use the preset ANSYS Meshing to mesh the inertial dust removal device model to obtain the meshed inertial dust removal device model; Obtain the meteorology and particle size of the pressurized dust gas to obtain the pressurized dust meteorology and the pressurized dust particle size; According to the pressurized dust meteorology and the pressurized dust particle size, use the preset DEM collision model and the pre-constructed electrostatic module to solve the transient flow field of the pressurized dust gas to obtain the dust gas transient flow field; Set multiple gas flow rates based on the preset flow rate range, and perform CFD full simulation based on the meshed inertial dust removal device model and the dust gas transient flow field to extract the separation efficiency and pressure drop data corresponding to the multiple gas flow rates; According to the separation efficiency and pressure drop data corresponding to the multiple gas flow rates, use the preset NSGA-III algorithm to output the dust filtration values at the multiple gas flow rates to obtain multiple dust filtration values, and sort the multiple dust filtration values from largest to smallest to obtain the dust filtration value sequence; Obtain the highest dust filtration value according to the dust filtration value sequence, and obtain the filtered dust and dust removal gas corresponding to the highest dust filtration value to obtain the primary dust removal gas and the primary filtered dust; Among them, the step of "using the preset DEM collision model and the pre-constructed electrostatic module to solve the transient flow field of the pressurized dust gas to obtain the dust gas transient flow field" includes: Query the particle characteristics in the pressurized dust gas based on the preset particle query table to obtain the dust gas particle characteristics, and determine the particle model according to the dust gas particle characteristics to obtain the dust gas particle model; Use the dust gas particle model and the DEM collision model to obtain the particle contact mechanics model of the pressurized dust gas to obtain the dust gas contact mechanics model; Obtain the electric field of the pressurized dust gas to obtain the dust gas electric field, and obtain the geometric model of the dust gas electric field through the electrostatic module to obtain the dust gas electric field model; Based on the dust gas contact mechanics model and the dust geometric electric field model, use the preset bidirectional coupling algorithm to calculate the transient flow field of the pressurized dust gas to obtain the dust gas transient flow field; Among them, the step of "obtaining the meteorology and particle size of the pressurized dust gas to obtain the pressurized dust meteorology and the pressurized dust particle size" includes: Measure the temperature of the pressurized dust gas based on the preset thermocouple temperature set to obtain the pressurized dust temperature; Measure the air pressure of the pressurized dusty gas using a preset strain-type pressure sensor to obtain the pressurized dust air pressure, and measure the humidity of the pressurized dusty gas using a preset capacitive humidity sensor to obtain the pressurized dust humidity; Take the pressurized dust temperature, pressurized dust air pressure, and pressurized dust humidity as the meteorology of the pressurized dust to obtain the pressurized dust meteorology; Irradiate the pressurized dusty gas with a preset laser beam, measure the scattering angle and intensity of the laser beam to obtain the laser scattering angle and laser scattering intensity, and calculate the particle size of the pressurized dusty gas using the laser scattering angle and laser scattering intensity to obtain the pressurized dust particle size; A secondary filtration module for using a second nitrogen pressurization device to perform secondary pressurization on the primary dust removal gas to obtain a secondary pressurized dusty gas; Filter the secondary pressurized dusty gas using a dust removal cloth bag to obtain secondary dust removal gas and secondary filtered dust, discharge the secondary dust removal gas, collect the primary filtered dust and secondary filtered dust to obtain the dust removal dust.

Images