Intelligent control method and system for dry-type dust removal vehicle based on numerical simulation

Abstract

The invention relates to the technical field of dust removal, in particular to an intelligent control method and system for a dry-type dust removal vehicle based on numerical simulation, and the method comprises the steps: carrying out the preliminary filtration through a gauze element in a pipeline, and obtaining dust treatment gas; the treated gas is input into an intelligent ash removal vehicle, and pipeline parameters of a first ash removal pipeline are obtained; pressurizing the gas by using nitrogen pressurizing equipment in the pipeline to obtain first pressurized dust gas, and measuring the flow rate after pressurization; judging whether the flow velocity is within a preset interval, and if not, re-pressurizing and measuring the flow velocity; if yes, filtering is conducted through inertia dust removal equipment, and primary dust removal gas and primary filtered dust are obtained; pressurizing the primary dust removal gas by using nitrogen pressurizing equipment in the second dust removal pipeline to obtain secondary pressurized dust gas; and filtering the secondary pressurized gas by using a dust removal cloth bag to obtain secondary dust removal gas and secondary filtered dust, discharging the secondary dust removal gas, and collecting the filtered dust. The dust removal efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of dust removal, and in particular 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 has plagued the industry. Traditional dust removal methods, such as vehicle-mounted spray dust removal or pipeline spray dust removal, although they can reduce the spread of dust to a certain extent, are difficult to effectively control the concentration of dust, resulting in dust accumulation in the tunnel. This seriously affects the construction environment of the tunnel. In addition, traditional dust removal methods mainly rely on manual operations, which are not only inefficient, but also seriously affect the health of workers. In traditional dry dust removal systems, due to the harsh working environment, including dust, vibration, temperature changes and other factors, the motor failure rate is high, key hardware parts are prone to failure, and the system reliability is reduced. Sensors are also affected by environmental factors, which reduces the reliability of system operation. Summary of the invention

[0003] The present invention provides an intelligent control method for a dry dust removal vehicle based on numerical simulation and a computer-readable storage medium, the main purpose of which is to improve the efficiency of dust removal.

[0004] To achieve the above object, the present invention provides an intelligent control method for a dry dust removal vehicle based on numerical simulation, comprising: Based on the preset dust removal instructions, the dust gas at the ash discharge point is initially filtered using the preset ash conveying pipeline to obtain the treated dust gas; Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, a gas velocity measuring device is installed at a 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 pressurizing device is installed in the second ash conveying pipeline; The dust treatment gas in the intelligent dust removal vehicle is pressurized by using a first nitrogen pressurizing device to obtain a first pressurized dust gas, and based on the first pipeline parameter, the flow rate of the pressurized dust gas is measured by using a gas velocity measuring device to obtain a pressurized dust flow rate; Determining whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal device; If not, return to the step of using the first nitrogen pressurizing device to pressurize the dust processing gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; The primary dust removal gas is secondarily pressurized by a second nitrogen pressurizing device to obtain a secondary pressurized dust gas; The secondary pressurized dust gas is filtered by a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain dust removal dust.

[0005] Optionally, the step of pressurizing the dust-treated gas in the intelligent dust removal vehicle using the first nitrogen pressurizing device to obtain the first pressurized dust gas includes: Detecting initial parameters of dust-processing gas, wherein the initial parameters include temperature, pressure, flow rate, and dust concentration; According to the initial parameters of the dust treatment gas, a preset pulse generator is used 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 accumulation of dust in the first dust removal pipeline after the nitrogen is injected; When there is local accumulation of dust in the first dust removal pipeline, the pulse frequency of the pulse generator is increased, the gas output of the nitrogen pressurizing device is reduced, and the first pressurized dust gas is obtained when there is no local accumulation of dust in the first dust removal pipeline. When there is no local accumulation of dust in the first dust removal pipeline, the first pressurized dust gas is directly obtained.

[0006] Optionally, when the inertial dust removal device is used, the pressurized dust gas is inertially filtered to obtain the primary dust removal gas and the primary filtered dust, including: Establishing a geometric model of the inertial dust removal equipment to obtain an inertial dust removal equipment model, and meshing the inertial dust removal equipment model using the preset ANSYSMeshing to obtain a meshed inertial dust removal equipment model; Acquire 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 pressurized dust particle size, the preset DEM collision model and the pre-built electrostatic module are used to solve the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas; 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 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, the dust filtration values ​​under the multiple gas flow rates are outputted using the preset NSGA-III algorithm to obtain multiple dust filtration values, and the multiple dust filtration values ​​are sorted from large to small to obtain a dust filtration value sequence; The highest dust filtering value is obtained according to the dust filtering value sequence, and the filtered dust and dust removal gas corresponding to the highest dust filtering value are obtained to obtain the primary dust removal gas and the primary filtered dust.

[0007] Optionally, the second nitrogen pressurizing device is used to perform secondary pressurization on the primary dust removal gas to obtain the secondary pressurized dust gas, including: Acquiring pipeline parameters of the second ash removal pipeline to obtain second pipeline parameters, and calculating the tangent angle of the second ash removal pipeline based on the second pipeline parameters to obtain the pipeline tangent angle; The nitrogen is injected into the second dust removal pipeline along the pipeline tangent angle by using the nitrogen pressurizing equipment, and the primary dust removal gas is pressurized for the second time to obtain the secondary pressurized gas.

[0008] Optionally, the dust-removing bag is used to filter the secondary pressurized dust gas to obtain the secondary dust-removing gas and the secondary filtered dust; Detect the gas flow rate of the secondary dust filtration to obtain the secondary filtration gas flow rate; If the secondary filtered gas flow rate is less than the preset gas flow rate threshold, the dust removal bag is back-blown for a preset time using a preset back-blowing device to obtain a back-blown dust removal bag; Re-test the gas flow rate through the back-blowing dust removal bag to obtain the test gas flow rate; When the detected gas flow rate is less than the preset gas flow rate threshold, a notification for replacing the dust removal bag is generated; When the detected gas flow rate is greater than or equal to the preset gas flow rate threshold, the back-blowing dust removal bag is used as the standard dust removal bag.

[0009] Optionally, the using of a preset DEM collision model and a pre-built electrostatic module to solve the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas includes: Querying the particle characteristics in the pressurized dust gas based on a preset particle query table to obtain the dust gas particle characteristics, and determining a particle model according to the dust gas particle characteristics to obtain a dust gas particle model; The dust-gas particle model and the DEM collision model are used to obtain the contact mechanics model of the pressurized dust-gas particles, and the dust-gas contact mechanics model is obtained; Acquire the electric field of the pressurized dust gas to obtain the dust gas electric field, and acquire 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, the preset bidirectional coupling algorithm is used to calculate the transient flow field of the pressurized dust gas to obtain the dust-gas transient flow field.

[0010] Optionally, before determining whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal device, the method further includes: Sampling the pressurized dust gas to obtain a pressurized dust gas sample, and counting the particle sizes of dust particles in the pressurized dust gas sample to obtain the sample dust particle size; The pressurized dust gas sample is divided into a first pressurized dust gas sample and a second dust gas sample according to the average value of the sample dust particle size, wherein the dust particle size in the first pressurized dust gas sample is larger than the average value of the sample dust particle size, and the dust particle size in the second pressurized dust gas sample is smaller than or equal to the average value of the sample dust particle size; Counting the average particle size of dust particles in the first pressurized dust gas sample to obtain a first average dust particle size; Counting the average particle size of dust particles in the second pressurized dust gas sample to obtain a second average dust particle size; Obtaining the density of dust particles in the pressurized dust gas to obtain the dust particle density; Obtaining the gas density in the pressurized dust gas to obtain the pressurized gas density; The empirical coefficient of the inertial dust removal device is queried, and the preset flow rate range of the inertial dust removal device is calculated 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.

[0011] Optionally, the calculation formula for calculating the preset flow rate range of the inertial dust removal equipment is: ; ; ; in, 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 pressurized gas, g is the acceleration due to gravity, and k is the empirical coefficient.

[0012] Optionally, the step of acquiring the meteorology and particle size of the pressurized dust gas to obtain the meteorology and particle size of the pressurized dust includes: measuring the temperature of the pressurized dust gas based on a preset thermocouple temperature set to obtain a pressurized dust temperature; The pressure of the pressurized dust gas is measured by a preset strain gauge pressure sensor to obtain the pressurized dust pressure, and the humidity of the pressurized dust gas is measured by a preset capacitive humidity sensor to obtain the pressurized dust humidity; The pressurized dust temperature, the pressurized dust air pressure and the pressurized dust humidity are used as the pressurized dust meteorology to obtain the pressurized dust meteorology; The pressurized dust gas is irradiated with a preset laser beam, and the scattering angle and intensity of the laser beam are measured to obtain the laser scattering angle and the laser scattering intensity. The particle size of the pressurized dust gas is calculated using the laser scattering angle and the laser scattering intensity to obtain the pressurized dust particle size.

[0013] To achieve the above object, the present invention also provides an intelligent control system for a dry dust removal vehicle based on numerical simulation, comprising: The dust collection module is used to perform preliminary filtration on the dust gas at the ash discharge point based on the preset ash removal instruction by using the preset ash conveying pipeline to obtain the treated dust gas; Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, a gas velocity measuring device is installed at a 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 pressurizing device is installed in the second ash conveying pipeline; A gas pressurizing module, used to pressurize the dust processing gas in the intelligent dust removal vehicle by using a first nitrogen pressurizing device to obtain a first pressurized dust gas, and based on a first pipeline parameter, using a gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain a pressurized dust flow rate; A primary filtering module, used to determine whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal equipment; If not, return to the step of using the first nitrogen pressurizing device to pressurize the dust processing gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; A secondary filtration module, used to perform secondary pressurization on the primary dust removal gas using a second nitrogen pressurization device to obtain a secondary pressurized dust gas; The secondary pressurized dust gas is filtered by a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain dust removal dust.

[0014] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising: A memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-mentioned intelligent control method of the dry dust removal vehicle based on numerical simulation.

[0015] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned intelligent control method of a dry dust removal vehicle based on numerical simulation.

[0016] The present invention is to solve the problem described in the background technology. Based on a preset dust removal instruction, the present invention uses a preset ash conveying pipeline to preliminarily filter the dust gas at the ash discharge point to obtain treated dust gas; the treated 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, wherein 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 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 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; the treated dust gas in the intelligent ash removal vehicle is pressurized by the first nitrogen pressurizing device to obtain the first pressurized dust gas, and based on the first pipeline parameter, the flow velocity of the pressurized dust gas is measured by the gas velocity measuring device in the first ash removal pipeline 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. In; when it is not, return to the step of using the nitrogen pressurizing equipment in the first dust removal pipeline to pressurize the dust processing gas to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring equipment in the first dust removal pipeline to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; when it is, use the inertial dust removal equipment to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; use the second nitrogen pressurizing equipment to perform secondary pressurization on the primary dust removal gas to obtain the secondary pressurized dust gas; use the dust removal bag 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, and obtain the dust removal dust. It can be seen that the present invention divides the dust removal process into multiple stages of preliminary filtration, inertial filtration and secondary filtration, and each stage has a targeted processing method, especially before inertial filtration, it is judged whether the pressurized dust flow rate is within the preset flow rate range of the inertial dust removal equipment to ensure that the inertial dust removal equipment can operate under the best working conditions. Therefore, the present invention can improve the efficiency of dust removal. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 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; Figure 2 A functional module diagram of an intelligent control system for a dry dust removal vehicle based on numerical simulation provided by one embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device for implementing the intelligent control method of a dry dust removal vehicle based on numerical simulation provided in one embodiment of the present invention.

[0018] Description of reference numerals: 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0019] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] 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.

[0021] The embodiment of the present application provides an intelligent control method for a dry dust removal vehicle based on numerical simulation. The execution subject of the intelligent control method for a dry dust removal vehicle based on numerical simulation includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the intelligent control method for a 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.

[0022] Reference Figure 1 FIG. 1 is a 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. In this embodiment, the intelligent control method for a dry dust removal vehicle based on numerical simulation includes: S1. Based on the preset dust removal instruction, the dust gas at the ash discharge point is initially filtered using the preset ash conveying pipeline to obtain the treated dust gas.

[0023] It is understandable that in order to effectively treat the dust gas generated at the ash discharge point, before treating the gas at the ash discharge point through the ash conveying pipe, it is necessary to first install a gauze screen of specific material and mesh size inside the ash conveying pipe. When the dust gas passes through the gauze screen, the physical barrier effect of the gauze screen is utilized to intercept and filter the dust particles in the dust gas, thereby achieving preliminary purification treatment of the dust gas and achieving the effect of reducing dust concentration and reducing pollutant emissions.

[0024] Furthermore, the ash removal instruction is a key instruction to ensure that the ash removal work is carried out in an orderly and efficient manner. In terms of time, it can be started on time, executed periodically and stopped on time; in terms of equipment operation, it can control the switching sequence and time of the ash conveying pipeline, and adjust the cleaning and replacement of the gauze in the ash conveying pipeline; in terms of operating parameters, the gas flow, pressure range and gauze filtration accuracy can be set.

[0025] It should be understood that in the dust removal process, the selection of the mesh size of the gauze is crucial. If the mesh size of the gauze 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 dust gas flow rate, and may even cause poor circulation of dust gas in the ash conveying pipeline, affecting the overall dust removal efficiency. In the embodiment of the present invention, it is not necessary to filter all particulate matter too finely, but mainly to remove those larger interferences that will have a significant impact on the equipment or environment, such as larger dust particles, debris, etc. Therefore, it is necessary to select a gauze with a moderate mesh size according to the specific dust removal environment, which can not only effectively remove these interferences, but also ensure the normal circulation of dust gas, thereby ensuring the efficient operation of the dust removal system while meeting the dust removal needs.

[0026] For example, in a tunnel construction environment, a 10-20 mesh gauze can be selected for preliminary filtration, which can effectively filter debris and gravel in the gas while maintaining good air permeability.

[0027] S2. Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at the first position of the first ash removal pipeline, and a gas speed 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 pressurizing device is installed in the second ash conveying pipeline.

[0028] It is understandable that the process of inputting the dust-treated gas into the preset intelligent dust removal vehicle and obtaining the pipeline parameters of the first dust removal pipeline to obtain the first pipeline parameters plays a key role in many aspects. On the one hand, accurate pipeline parameters, such as pipe diameter, length, roughness, material, etc., can help operation and maintenance personnel determine whether the pipeline is suitable for the current dust removal needs, ensure that the pipeline can withstand gas pressure and flow, prevent pipeline rupture, blockage and other faults, ensure the stable operation of the intelligent dust removal vehicle, and improve dust removal efficiency; on the other hand, based on these parameters, technicians can analyze the flow rate, pressure distribution and other states of the dust gas in the pipeline according to the knowledge of fluid mechanics 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., to further improve the dust removal effect, reduce energy consumption and maintenance costs, and achieve efficient and economical dust removal operations.

[0029] It should be explained that the first ash removal pipeline is a homogeneous pipeline. After the treated dust gas is input into the intelligent ash removal vehicle through the ash conveying pipeline, and before the treated dust gas is input into the next stage using the first ash removal pipeline, the parameters of the first ash removal pipeline remain unchanged to avoid affecting the various parameters of the treated dust gas.

[0030] S3. Use the first nitrogen pressurizing equipment to pressurize the dust-treated gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas. Based on the first pipeline parameter, use the gas velocity measuring equipment to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate.

[0031] It is understandable that by pressurizing the treated dust gas in the first nitrogen pressurizing device, the first pressurized dust gas can be obtained. This process uses the pressure of nitrogen to give the dust gas sufficient power to facilitate subsequent transportation or treatment. At the same time, according to the first pipeline parameters, the velocity measuring device in the pipeline is used to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate, which helps to grasp the flow state of the dust gas in the pipeline in real time, provide important data support for the stable operation and optimization adjustment of the system, and ensure the efficiency and reliability of the dust removal system.

[0032] Furthermore, the step of pressurizing the dust-treated gas in the intelligent dust removal vehicle using the first nitrogen pressurizing device to obtain the first pressurized dust gas includes: Detecting initial parameters of dust-processing gas, wherein the initial parameters include temperature, pressure, flow rate, and dust concentration; According to the initial parameters of the dust treatment gas, a preset pulse generator is used 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 accumulation of dust in the first dust removal pipeline after the nitrogen is injected; When there is local accumulation of dust in the first dust removal pipeline, the pulse frequency of the pulse generator is increased, the gas output of the nitrogen pressurizing device is reduced, and the first pressurized dust gas is obtained when there is no local accumulation of dust in the first dust removal pipeline. When there is no local accumulation of dust in the first dust removal pipeline, the first pressurized dust gas is directly obtained.

[0033] Among them, the pulse generator is a special instrument that can generate a pulse signal. It can generate a pulse signal with a specific frequency, amplitude and pulse width. In the scenario you described, the pulse generator is used to control the nitrogen pressurization equipment 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 triggers. Through the coordinated work of these components, a stable and continuous pulse signal 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 needs.

[0034] It should be understood that when a pulse generator is used to inject nitrogen into the first dust removal pipe in an intermittent pulse manner, the pulse pressure, duration and frequency can be dynamically adjusted according to the real-time local dust accumulation situation of the dust gas to flush the inner wall of the first dust removal pipe and avoid dust sedimentation and accumulation.

[0035] S4. Determine whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal equipment.

[0036] The preset flow rate interval is the required range of gas flow rate when entering the next stage, that is, using inertial dust removal equipment for dust removal.

[0037] It should be explained that before determining whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal equipment, the method further includes: Sampling the pressurized dust gas to obtain a pressurized dust gas sample, and counting the particle sizes of dust particles in the pressurized dust gas sample to obtain the sample dust particle size; The pressurized dust gas sample is divided into a first pressurized dust gas sample and a second dust gas sample according to the average value of the sample dust particle size, wherein the dust particle size in the first pressurized dust gas sample is larger than the average value of the sample dust particle size, and the dust particle size in the second pressurized dust gas sample is smaller than or equal to the average value of the sample dust particle size; Counting the average particle size of dust particles in the first pressurized dust gas sample to obtain a first average dust particle size; Counting the average particle size of dust particles in the second pressurized dust gas sample to obtain a second average dust particle size; Obtaining the density of dust particles in the pressurized dust gas to obtain the dust particle density; Obtaining the gas density in the pressurized dust gas to obtain the pressurized gas density; The empirical coefficient of the inertial dust removal device is queried, and the preset flow rate range of the inertial dust removal device is calculated 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.

[0038] The calculation formula for calculating the preset flow rate range of the inertial dust removal equipment is: ; ; ; in, 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 pressurized gas, g is the acceleration due to gravity, and k is the empirical coefficient.

[0039] Among them, k is generally determined through experiments, and its value is related to the equipment structure, etc.

[0040] S5. When it is not there, return to the step of using the first nitrogen pressurizing equipment to pressurize the treated dust gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameters, use the gas velocity measuring equipment to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate.

[0041] 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, re-pressurize the dust gas, and then use the speed measuring equipment to measure the flow rate again until the pressurized dust flow rate reaches the preset flow rate range, thereby ensuring that the dust removal system can operate stably and effectively and maintain a reasonable flow state of the dust gas in the pipeline.

[0042] S6. When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain primary dust removal gas and primary filtered dust.

[0043] It should be understood that when the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust, including: Establishing a geometric model of the inertial dust removal equipment to obtain an inertial dust removal equipment model, and meshing the inertial dust removal equipment model using the preset ANSYSMeshing to obtain a meshed inertial dust removal equipment model; Acquire 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 pressurized dust particle size, the preset DEM collision model and the pre-built electrostatic module are used to solve the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas; 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 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, the dust filtration values ​​under the multiple gas flow rates are outputted using the preset NSGA-III algorithm to obtain multiple dust filtration values, and the multiple dust filtration values ​​are sorted from large to small to obtain a dust filtration value sequence; The highest dust filtering value is obtained according to the dust filtering value sequence, and the filtered dust and dust removal gas corresponding to the highest dust filtering value are obtained to obtain the primary dust removal gas and the primary filtered dust.

[0044] Furthermore, the dust filtration value is a quantitative indicator used to measure the dust filtration effect of the inertial dust removal equipment at different gas flow rates. It is calculated based on the separation efficiency and pressure drop data corresponding to 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 conditions. The larger the value, the better the filtration effect of the dust removal equipment at this flow rate, and the more effectively the dust can be separated from the pressurized dust gas, resulting in cleaner gas and filtered dust.

[0045] ANSYS Meshing is a tool used to mesh the geometric model of inertial dust removal equipment. Specifically, ANSYS Meshing divides the geometric model of inertial dust removal equipment into a large number of small units (grids) for subsequent computational fluid dynamics (CFD) simulation. Through meshing, the flow behavior of pressurized dust gas inside the equipment can be simulated more accurately, thereby calculating key parameters such as separation efficiency and pressure drop.

[0046] 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 movement and interaction forces of particles. In DEM, particles are regarded as rigid or flexible bodies, and their movement and interaction are described by contact forces.

[0047] Among them, CFD full simulation, namely computational fluid dynamics (CFD) full simulation, is a method of numerical simulation and analysis of fluid flow and related physical phenomena using computer technology. 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. 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 targeting high-dimensional multi-objective optimization problems (usually containing 4 or more objective functions).

[0048] Furthermore, the method of solving the transient flow field of the pressurized dust gas by using the preset DEM collision model and the pre-built electrostatic module to obtain the transient flow field of the dust gas includes: Querying the particle characteristics in the pressurized dust gas based on a preset particle query table to obtain the dust gas particle characteristics, and determining a particle model according to the dust gas particle characteristics to obtain a dust gas particle model; The dust-gas particle model and the DEM collision model are used to obtain the contact mechanics model of the pressurized dust-gas particles, and the dust-gas contact mechanics model is obtained; Acquire the electric field of the pressurized dust gas to obtain the dust gas electric field, and acquire 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, the preset bidirectional coupling algorithm is used to calculate the transient flow field of the pressurized dust gas to obtain the dust-gas transient flow field.

[0049] It should be understood that the step of obtaining the meteorology and particle size of the pressurized dust gas to obtain the meteorology and particle size of the pressurized dust includes: measuring the temperature of the pressurized dust gas based on a preset thermocouple temperature set to obtain a pressurized dust temperature; The pressure of the pressurized dust gas is measured by a preset strain gauge pressure sensor to obtain the pressurized dust pressure, and the humidity of the pressurized dust gas is measured by a preset capacitive humidity sensor to obtain the pressurized dust humidity; The pressurized dust temperature, the pressurized dust air pressure and the pressurized dust humidity are used as the pressurized dust meteorology to obtain the pressurized dust meteorology; The pressurized dust gas is irradiated with a preset laser beam, and the scattering angle and intensity of the laser beam are measured to obtain the laser scattering angle and the laser scattering intensity. The particle size of the pressurized dust gas is calculated using the laser scattering angle and the laser scattering intensity to obtain the pressurized dust particle size.

[0050] S7. Use a second nitrogen pressurizing device to perform secondary pressurization on the primary dust removal gas to obtain a secondary pressurized dust gas.

[0051] It is understandable that the use of nitrogen pressurizing equipment in the second dust removal pipeline to perform secondary pressurization on the primary dust removal gas can further increase the pressure of the dust gas, giving it a stronger conveying capacity and separation effect. This process can ensure that the dust gas is more effectively separated and filtered in the subsequent dust removal equipment, thereby improving the overall dust removal efficiency and effect. Through secondary pressurization, the flow rate and pressure of the dust gas can be better controlled, allowing it to operate more stably in the dust removal system, reducing the risk of pipeline blockage and equipment wear.

[0052] Furthermore, the second nitrogen pressurizing device is used to perform secondary pressurization on the primary dust removal gas to obtain secondary pressurized dust gas, including: Acquiring pipeline parameters of the second ash removal pipeline to obtain second pipeline parameters, and calculating the tangent angle of the second ash removal pipeline based on the second pipeline parameters to obtain the pipeline tangent angle; The nitrogen is injected into the second dust removal pipeline along the pipeline tangent angle by using the nitrogen pressurizing equipment, and the primary dust removal gas is pressurized for the second time to obtain the secondary pressurized gas.

[0053] It should be understood that injecting nitrogen into the second dust removal pipeline along the tangent angle of the pipeline can utilize the centrifugal force of high-speed rotation to fully and quickly mix the nitrogen with the primary dust removal gas and further pressurize it. Under the action of centrifugal force, the dust particles in the primary dust removal gas gather toward the wall to form a flow pattern similar to a "cyclone", while the nitrogen fills the center and gap areas, continuously pushing the dust particles forward and enhancing the mixing and pressurization effects.

[0054] S8. Filter the secondary pressurized dust gas with a dust removal bag 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, and obtain dust removal dust.

[0055] It should be understood that after the dust removal bag is used to filter the secondary pressurized dust gas to obtain the secondary dust removal gas and the secondary filtered dust; Detect the gas flow rate of the secondary dust filtration to obtain the secondary filtration gas flow rate; If the secondary filtered gas flow rate is less than the preset gas flow rate threshold, the dust removal bag is back-blown for a preset time using a preset back-blowing device to obtain a back-blown dust removal bag; Re-test the gas flow rate through the back-blowing dust removal bag to obtain the test gas flow rate; When the detected gas flow rate is less than the preset gas flow rate threshold, a notification for replacing the dust removal bag is generated; When the detected gas flow rate is greater than or equal to the preset gas flow rate threshold, the back-blowing dust removal bag is used as the standard dust removal bag.

[0056] Further, after filtering the secondary pressurized dust gas with a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and discharging the secondary dust removal gas, collecting the primary filtered dust and the secondary filtered dust, and obtaining the dust removal dust, the method further comprises: When unloading the dust, lift the compartment of the intelligent ash removal vehicle, raise the compartment of the intelligent ash removal vehicle to a preset height, unload the dust, and discharge the dust in the ash removal bag through the door of the intelligent ash removal vehicle.

[0057] The present invention is to solve the background technical problem. Based on a preset dust removal instruction, the present invention uses a preset ash conveying pipeline to preliminarily filter the dust gas at the ash discharge point to obtain treated dust gas; the treated 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, wherein 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 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 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; the treated dust gas in the intelligent ash removal vehicle is pressurized by the first nitrogen pressurizing device to obtain the first pressurized dust gas, and based on the first pipeline parameter, the flow velocity of the pressurized dust gas is measured by the gas velocity measuring device in the first ash removal pipeline 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 there, return to the step of pressurizing the dust treatment gas with the nitrogen pressurizing equipment in the first dust removal pipeline to obtain the first pressurized dust gas, and based on the first pipeline parameter, measure the flow rate of the pressurized dust gas with the gas velocity measuring equipment in the first dust removal pipeline to obtain the pressurized dust flow rate; when it is there, use the inertial dust removal equipment to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; use the second nitrogen pressurizing equipment to pressurize the primary dust removal gas for the second time to obtain the secondary pressurized dust gas; use the dust removal bag 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, and obtain the dust removal dust. It can be seen that the present invention divides the dust removal process into multiple stages of preliminary filtration, inertial filtration and secondary filtration, and each stage has a targeted processing method, especially before inertial filtration, it is judged whether the pressurized dust flow rate is within the preset flow rate range of the inertial dust removal equipment to ensure that the inertial dust removal equipment can operate under the best working conditions. Therefore, the present invention can improve the efficiency of dust removal.

[0058] like Figure 2 , which 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.

[0059] The dry dust removal vehicle intelligent control system 100 based on numerical simulation of the present invention can be installed in an electronic device. According to the functions to be implemented, the dry dust removal vehicle intelligent control system 100 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 module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0060] The dust collection module 101 is used to perform preliminary filtration on the dust gas at the ash discharge point based on the preset ash removal instruction by using the preset ash conveying pipeline to obtain the treated dust gas; Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, a gas velocity measuring device is installed at a 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 pressurizing device is installed in the second ash conveying pipeline; The gas pressurizing module 102 is used to pressurize the dust processing gas in the intelligent dust removal vehicle by using the first nitrogen pressurizing equipment to obtain the first pressurized dust gas, and based on the first pipeline parameter, measure the flow rate of the pressurized dust gas by using the gas velocity measuring equipment to obtain the pressurized dust flow rate; The primary filtering module 103 is used to determine whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal device; If not, return to the step of using the first nitrogen pressurizing device to pressurize the dust processing gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; The secondary filtering module 104 is used to perform secondary pressurization on the primary dust removal gas using a second nitrogen pressurizing device to obtain a secondary pressurized dust gas; The secondary pressurized dust gas is filtered by a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain dust removal dust.

[0061] In detail, each module in the intelligent control system 100 of the dry dust removal vehicle based on numerical simulation in the embodiment of the present invention is used in the same manner as described above. Figure 1 The intelligent control method of dry dust removal vehicle based on numerical simulation described in the invention has the same technical means and can produce the same technical effects, so it will not be repeated here.

[0062] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing an intelligent control method for a dry dust removal vehicle based on numerical simulation provided by an embodiment of the present invention.

[0063] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for an intelligent control method for a dry dust removal vehicle based on numerical simulation.

[0064] 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 (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the program of the intelligent control method of the dry dust removal vehicle based on numerical simulation, but also can be used to temporarily store data that has been output or is to be output.

[0065] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as a program for intelligent control of dry dust removal vehicles based on numerical simulation, etc.), and calls data stored in the memory 11, so as to execute various functions of the electronic device 1 and process data.

[0066] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0067] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0068] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0069] Furthermore, the electronic device 1 may also 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.

[0070] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or 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-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0071] The program of the intelligent control method of the dry dust removal vehicle based on numerical simulation stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: Based on the preset dust removal instruction, the dust gas at the dust discharge point is obtained by using the preset ash conveying pipeline, and the dust gas is preliminarily filtered through the ash conveying pipeline to obtain the treated dust gas; Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, a gas velocity measuring device is installed at a 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 pressurizing device is installed in the second ash conveying pipeline; The dust treatment gas in the intelligent dust removal vehicle is pressurized by using a first nitrogen pressurizing device to obtain a first pressurized dust gas, and based on the first pipeline parameter, the flow rate of the pressurized dust gas is measured by using a gas velocity measuring device to obtain a pressurized dust flow rate; Determining whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal device; If not, return to the step of using the first nitrogen pressurizing device to pressurize the dust processing gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; The primary dust removal gas is secondarily pressurized by a second nitrogen pressurizing device to obtain a secondary pressurized dust gas; The secondary pressurized dust gas is filtered by a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain dust removal dust.

[0072] 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 embodiments will not be repeated here.

[0073] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it 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 disk, a computer memory, and a read-only memory (ROM).

[0074] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement: Based on the preset dust removal instructions, the dust gas at the ash discharge point is initially filtered using the preset ash conveying pipeline to obtain the treated dust gas; Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, a gas velocity measuring device is installed at a 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 pressurizing device is installed in the second ash conveying pipeline; The dust treatment gas in the intelligent dust removal vehicle is pressurized by using a first nitrogen pressurizing device to obtain a first pressurized dust gas, and based on the first pipeline parameter, the flow rate of the pressurized dust gas is measured by using a gas velocity measuring device to obtain a pressurized dust flow rate; Determining whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal device; If not, return to the step of using the first nitrogen pressurizing device to pressurize the dust processing gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; The primary dust removal gas is secondarily pressurized by a second nitrogen pressurizing device to obtain a secondary pressurized dust gas; The secondary pressurized dust gas is filtered by a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain dust removal dust.

[0075] In the 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 actual implementation may have other division methods.

[0076] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0077] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0078] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution 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 comprises: Based on the preset dust removal instructions, the dust gas at the ash discharge point is initially filtered using the preset ash conveying pipeline to obtain the treated dust gas; Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, a gas velocity measuring device is installed at a 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 pressurizing device is installed in the second ash conveying pipeline; The dust treatment gas in the intelligent dust removal vehicle is pressurized by using a first nitrogen pressurizing device to obtain a first pressurized dust gas, and based on the first pipeline parameter, the flow rate of the pressurized dust gas is measured by using a gas velocity measuring device to obtain a pressurized dust flow rate; Determining whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal device; If not, return to the step of using the first nitrogen pressurizing device to pressurize the dust processing gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; The primary dust removal gas is secondarily pressurized by a second nitrogen pressurizing device to obtain a secondary pressurized dust gas; The secondary pressurized dust gas is filtered by a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain dust removal dust.

2. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 1, characterized in that: The method of pressurizing the dust-treated gas in the intelligent dust removal vehicle by using the first nitrogen pressurizing device to obtain the first pressurized dust gas includes: Detecting initial parameters of dust-processing gas, wherein the initial parameters include temperature, pressure, flow rate, and dust concentration; According to the initial parameters of the dust treatment gas, a preset pulse generator is used 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 accumulation of dust in the first dust removal pipeline after the nitrogen is injected; When there is local accumulation of dust in the first dust removal pipeline, the pulse frequency of the pulse generator is increased, the gas output of the nitrogen pressurizing device is reduced, and the first pressurized dust gas is obtained when there is no local accumulation of dust in the first dust removal pipeline. When there is no local accumulation of dust in the first dust removal pipeline, the first pressurized dust gas is directly obtained.

3. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 1, characterized in that: When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust, including: Establishing a geometric model of the inertial dust removal equipment to obtain an inertial dust removal equipment model, and meshing the inertial dust removal equipment model using the preset ANSYS Meshing to obtain a meshed inertial dust removal equipment model; Acquire 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 pressurized dust particle size, the preset DEM collision model and the pre-built electrostatic module are used to solve the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas; 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 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, the dust filtration values ​​under the multiple gas flow rates are outputted using the preset NSGA-III algorithm to obtain multiple dust filtration values, and the multiple dust filtration values ​​are sorted from large to small to obtain a dust filtration value sequence; The highest dust filtering value is obtained according to the dust filtering value sequence, and the filtered dust and dust removal gas corresponding to the highest dust filtering value are obtained to obtain the primary dust removal gas and the primary filtered dust.

4. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 1, characterized in that: The method of using the second nitrogen pressurizing device to perform secondary pressurization on the primary dust removal gas to obtain the secondary pressurized dust gas comprises: Acquiring pipeline parameters of the second ash removal pipeline to obtain second pipeline parameters, and calculating the tangent angle of the second ash removal pipeline based on the second pipeline parameters to obtain the pipeline tangent angle; The nitrogen is injected into the second dust removal pipeline along the pipeline tangent angle by using the nitrogen pressurizing equipment, and the primary dust removal gas is pressurized for the second time to obtain the secondary pressurized gas.

5. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 1, characterized in that: The dust removal bag is used to filter the secondary pressurized dust gas to obtain the secondary dust removal gas and the secondary filtered dust; Detect the gas flow rate of the secondary dust filtration to obtain the secondary filtration gas flow rate; If the secondary filtered gas flow rate is less than the preset gas flow rate threshold, the dust removal bag is back-blown for a preset time using a preset back-blowing device to obtain a back-blown dust removal bag; Re-test the gas flow rate through the back-blowing dust removal bag to obtain the test gas flow rate; When the detected gas flow rate is less than the preset gas flow rate threshold, a notification for replacing the dust removal bag is generated; When the detected gas flow rate is greater than or equal to the preset gas flow rate threshold, the back-blowing dust removal bag is used as the standard dust removal bag.

6. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 3, characterized in that: The method uses a preset DEM collision model and a pre-built electrostatic module to solve the transient flow field of the pressurized dust gas to obtain the transient flow field of the dust gas, including: Querying the particle characteristics in the pressurized dust gas based on a preset particle query table to obtain the dust gas particle characteristics, and determining a particle model according to the dust gas particle characteristics to obtain a dust gas particle model; The dust-gas particle model and the DEM collision model are used to obtain the contact mechanics model of the pressurized dust-gas particles, and the dust-gas contact mechanics model is obtained; Acquire the electric field of the pressurized dust gas to obtain the dust gas electric field, and acquire 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, the preset bidirectional coupling algorithm is used to calculate the transient flow field of the pressurized dust gas to obtain the dust-gas transient flow field.

7. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 1, characterized in that: Before determining whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal device, the method further includes: Sampling the pressurized dust gas to obtain a pressurized dust gas sample, and counting the particle sizes of dust particles in the pressurized dust gas sample to obtain the sample dust particle size; The pressurized dust gas sample is divided into a first pressurized dust gas sample and a second dust gas sample according to the average value of the sample dust particle size, wherein the dust particle size in the first pressurized dust gas sample is larger than the average value of the sample dust particle size, and the dust particle size in the second pressurized dust gas sample is smaller than or equal to the average value of the sample dust particle size; Counting the average particle size of dust particles in the first pressurized dust gas sample to obtain a first average dust particle size; Counting the average particle size of dust particles in the second pressurized dust gas sample to obtain a second average dust particle size; Obtaining the density of dust particles in the pressurized dust gas to obtain the dust particle density; Obtaining the gas density in the pressurized dust gas to obtain the pressurized gas density; The empirical coefficient of the inertial dust removal device is queried, and the preset flow rate range of the inertial dust removal device is calculated 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.

8. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 7, characterized in that: The calculation formula of the preset flow rate interval is: ； ； ； in, 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 pressurized gas, g is the acceleration due to gravity, and k is the empirical coefficient.

9. The intelligent control method of a dry dust removal vehicle based on numerical simulation as claimed in claim 3, characterized in that: The step of obtaining the meteorology and particle size of the pressurized dust gas to obtain the meteorology and particle size of the pressurized dust includes: measuring the temperature of the pressurized dust gas based on a preset thermocouple temperature set to obtain a pressurized dust temperature; The pressure of the pressurized dust gas is measured by a preset strain gauge pressure sensor to obtain the pressurized dust pressure, and the humidity of the pressurized dust gas is measured by a preset capacitive humidity sensor to obtain the pressurized dust humidity; The pressurized dust temperature, the pressurized dust air pressure and the pressurized dust humidity are used as the pressurized dust meteorology to obtain the pressurized dust meteorology; The pressurized dust gas is irradiated with a preset laser beam, and the scattering angle and intensity of the laser beam are measured to obtain the laser scattering angle and the laser scattering intensity. The particle size of the pressurized dust gas is calculated using the laser scattering angle and the laser scattering intensity to obtain the pressurized dust particle size.

10. An intelligent control system for a dry dust removal vehicle based on numerical simulation, characterized in that: The system comprises: The dust collection module is used to perform preliminary filtration on the dust gas at the ash discharge point based on the preset ash removal instruction by using the preset ash conveying pipeline to obtain the treated dust gas; Input the treated 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, wherein 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 bag. A first nitrogen pressurizing device is installed at a first position of the first ash removal pipeline, a gas velocity measuring device is installed at a 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 pressurizing device is installed in the second ash conveying pipeline; A gas pressurizing module, used to pressurize the dust processing gas in the intelligent dust removal vehicle by using a first nitrogen pressurizing device to obtain a first pressurized dust gas, and based on a first pipeline parameter, using a gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain a pressurized dust flow rate; A primary filtering module, used to determine whether the pressurized dust flow rate of the pressurized dust gas is within a preset flow rate range of the inertial dust removal equipment; If not, return to the step of using the first nitrogen pressurizing device to pressurize the dust processing gas in the intelligent dust removal vehicle to obtain the first pressurized dust gas, and based on the first pipeline parameter, use the gas velocity measuring device to measure the flow rate of the pressurized dust gas to obtain the pressurized dust flow rate; When the pressure is high, the inertial dust removal equipment is used to inertial filter the pressurized dust gas to obtain the primary dust removal gas and the primary filtered dust; A secondary filtration module, used to perform secondary pressurization on the primary dust removal gas using a second nitrogen pressurization device to obtain a secondary pressurized dust gas; The secondary pressurized dust gas is filtered by a dust removal bag to obtain secondary dust removal gas and secondary filtered dust, and the secondary dust removal gas is discharged, and the primary filtered dust and the secondary filtered dust are collected to obtain dust removal dust.

Images