Air duct filter screen cleaning method and device

Abstract

The invention discloses an air duct filter screen cleaning method and device. The method comprises the steps that the air flow speed in an air duct, particulate matter concentration data sets in front of and behind a filter screen and real-time pressure drop in front of and behind the filter screen are collected; determining the energy consumption of the filter screen according to the air velocity and the particulate matter concentration data set; determining the energy consumption cost of the filter screen according to the energy consumption of the filter screen; and according to the real-time pressure drop and the energy consumption cost of the filter screen, generating a cleaning instruction for indicating whether to clean the filter screen or not. The device comprises an acquisition module used for acquiring data, a control module used for data processing and instruction generation, and a cleaning module used for executing a cleaning instruction. According to the method, the filter screen energy consumption caused by dust deposition is determined, and the additional filter screen energy consumption cost caused by the filter screen energy consumption is further determined; the cleaning frequency is dynamically judged by comprehensively considering the pressure drop of the filter screen and the influence of dust deposition on the operation energy consumption of the filter screen, so that the purpose of reducing the cleaning cost of the filter screen is achieved.

Description

Technical Field

[0001] This invention relates to the field of subway duct filter cleaning technology, and in particular to a method and apparatus for cleaning duct filters. Background Technology

[0002] To create a comfortable and healthy environment in subway stations, an increasing number of subway lines in my country have installed air filtration devices in their air supply and fresh air shafts. However, during the air supply process, dust and attached microorganisms accumulate on the filter surface, increasing air supply resistance and resulting in additional fan energy consumption. Furthermore, the dust may re-enter the subway station due to the airflow. Currently, manual cleaning is the primary method to address dust accumulation on the filters inside the air ducts. To save on operating and maintenance costs, cleaning is typically performed monthly, or depending on the filter pressure drop.

[0003] However, if the air duct filter is cleaned on a timed basis, the accumulated dust on the filter cannot be cleaned in time, which further increases the cleaning difficulty and air supply resistance, leading to a series of problems such as increased energy consumption of the fan. If the cleaning is determined solely by the filter pressure drop, the filter will be cleaned too frequently. Both of these cleaning methods will result in high operation and maintenance costs for the environmental control system.

[0004] Therefore, traditional cleaning methods do not take into account the impact of cleaning frequency on operation and maintenance costs. Summary of the Invention

[0005] In order to overcome the shortcomings of the prior art, the present invention aims to provide a method and apparatus for cleaning air duct filters, which determines whether to clean the air duct filters based on the combined effects of filter pressure drop and dust accumulation on filter operating energy consumption, in order to further consider the impact of cleaning frequency on operation and maintenance costs.

[0006] To solve the above problems, the present invention is implemented according to the following solution: A method for cleaning air duct filters is provided, including: Collect data sets of air velocity, particulate matter concentration before and after the filter, and real-time pressure drop before and after the filter in the air duct; The filter coefficient of the filter is determined based on the air velocity, the particulate matter concentration data set, and the real-time pressure drop, using linear regression. The filter energy consumption is determined based on the air velocity, the particulate matter concentration data set, and the filter coefficient. The energy cost of the filter is determined based on the filter energy consumption. Based on the real-time pressure drop and the energy consumption cost of the filter, a cleaning instruction is generated to indicate whether the filter needs to be cleaned.

[0007] Compared with the prior art, the beneficial effects of the air duct filter cleaning method of the present invention are as follows: by determining the filter energy consumption caused by dust accumulation, the additional filter energy consumption cost brought about by this filter energy consumption is further determined; instead of simply considering the filter pressure drop or using a timed cleaning method to clean the air duct filter, the cleaning frequency is dynamically determined by comprehensively considering the filter pressure drop and the impact of dust accumulation on the filter operation energy consumption, thereby achieving the purpose of reducing the filter cleaning cost.

[0008] Optionally, the filter energy consumption is determined based on the airflow velocity and particulate matter concentration data set within the duct, including: The total air volume in the duct is determined based on the air velocity within the duct. The filtration efficiency of the filter is determined based on the particulate matter concentration data set. The energy consumption of the filter is determined based on the particulate matter concentration data set, the total air volume, the filtration efficiency, and the filter coefficient.

[0009] Optionally, the particulate matter concentration data set includes the concentration at the front end of the filter and the concentration at the back end of the filter. Based on the particulate matter concentration data set, the filtration efficiency of the filter is determined, including: The filtration concentration is determined based on the concentration at the front end of the filter and the concentration at the rear end of the filter. The filtration efficiency is determined based on the filtration concentration and the concentration at the front end of the filter.

[0010] Optionally, the filter energy consumption can be determined based on the particulate matter concentration data set, the total air volume, and the filtration efficiency. Optionally, the cleaning instruction includes a first cleaning instruction and a second cleaning instruction; Based on the real-time pressure drop and the filter energy consumption cost, a cleaning instruction is generated to indicate whether the filter needs to be cleaned, including: When the real-time pressure drop is greater than or equal to the preset pressure drop, or when the filter energy consumption cost is greater than or equal to the cost of a single cleaning, a first cleaning instruction is generated to indicate the cleaning of the filter. When the real-time pressure drop is less than the preset pressure drop and the filter energy consumption cost is less than the cost of a single cleaning, a second cleaning instruction is generated to indicate that the filter should not be cleaned.

[0011] A duct filter cleaning device is also provided, which applies the above-mentioned duct filter cleaning method, and includes: a control module, a data acquisition module, and a cleaning module; the control module is connected to the data acquisition module and the cleaning module. The acquisition module acquires the air velocity in the duct, the particulate matter concentration data before and after the filter, and the real-time pressure drop before and after the filter. The control module generates a cleaning command to indicate whether to clean the filter based on the air velocity in the duct, the particulate matter concentration data, and the real-time pressure drop. The cleaning module responds to the first cleaning command generated by the control module to indicate that the filter should be cleaned.

[0012] Optionally, the acquisition module includes: a wind speed sensor, a particulate matter concentration sensor, and a pressure drop sensor installed in the air duct, and the control module is connected to the wind speed sensor, the particulate matter concentration sensor, and the pressure drop sensor.

[0013] Optionally, the cleaning module includes a water supply unit, an execution unit, a barrier unit, and a drying unit; the control module is connected to the water supply unit, the execution unit, the barrier unit, and the drying unit. The cleaning module responds to the first cleaning command, including: The water pump of the water supply unit is started to supply water to the execution unit; The blocking unit rises to block the filter and fan that are being cleaned by the execution unit in the air duct; The air pump of the drying unit is started to dry the cleaned filter screen.

[0014] Optionally, the execution unit includes a motor, a high-pressure nozzle, and a lead screw. The motor is connected to the high-pressure nozzle, the lead screw, and the control module. The high-pressure nozzle is movably connected to the lead screw. The execution unit responds to the first cleaning command, including: The motor starts, driving the high-pressure nozzle to move up and down along the lead screw; When the high-pressure nozzle is activated, the water supply unit delivers water to the high-pressure nozzle to clean the filter screen.

[0015] Optionally, the control module includes a processor and a memory, the memory storing at least one instruction, at least one program, code set or instruction set, the at least one instruction, at least one program, code set or instruction set being loaded and executed by the processor to implement the aforementioned air duct filter cleaning method. Attached Figure Description

[0016] Figure 1 The process of the cleaning method of the present invention Figure 1 ; Figure 2 The process of the cleaning method of the present invention Figure 2 ; Figure 3 This is a structural block diagram of the cleaning device of the present invention; Figure 4 This is a partial structural diagram of the cleaning device of the present invention. Figure 1 ; Figure 5 This is a partial structural diagram of the cleaning device of the present invention. Figure 2 ; The attached diagram shows the following labels: 1. Control module; 2. Data acquisition module; 201. Wind speed sensor; 202. Particulate matter concentration sensor; 203. Pressure drop sensor; 3. Cleaning module; 301. Water supply unit; 3011. Water pump; 3012. Water pipe; 3013. Water tank; 3014. Water inlet; 302. Actuation unit; 3021. Motor; 3022. High-pressure nozzle; 3023. Lead screw; 303. Barrier unit; 304. Drying unit; 3041. Air pump; 3042. Water collection tank; 3043. Water outlet; 4. Air duct; 5. Filter screen; 6. Fan; 7. Electrostatic dust removal device; 8. Air inlet. Detailed Implementation

[0017] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0018] In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims. In the description of this application, it should be understood that the terms "first," "second," "third," etc., are used only to distinguish similar objects and are not necessarily used to describe a specific order or sequence, nor should they be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0019] See Figure 1-2 As shown, a method for cleaning a duct filter according to the present invention includes: S1: Collects data sets of air velocity, particulate matter concentration before and after the filter, and real-time pressure drop before and after the filter within the duct. Air velocity indicates the airflow speed within the duct, reflecting the ventilation efficiency of the environmental control system or the fan's operating status. The particulate matter concentration data sets include the concentration before and after the filter. The concentration before the filter indicates the initial contamination level of particulate matter in the duct before entering the filter, while the concentration after the filter indicates the remaining particulate matter content in the duct after filtration. These concentrations reflect the filter's effectiveness in filtering particulate matter. The real-time pressure drop before and after the filter indicates the resistance encountered by the airflow through the filter. As the filter becomes increasingly clogged with particulate matter, the pressure drop increases.

[0020] S2: Based on the air velocity, particulate matter concentration data set and real-time pressure drop, the filter coefficient is determined by linear regression. The filter coefficient includes a constant k, a coefficient related to air velocity, and a correlation coefficient b with the pressure drop change under different dust load conditions. These three filter coefficients are obtained by collecting air velocity, particulate matter concentration, and pressure drop data in the actual operating environment and then obtaining these three filter coefficients based on linear fitting. If the actual operating environment conditions do not allow this, the air velocity, particulate matter concentration, and pressure drop data can be obtained experimentally and then obtained based on linear fitting.

[0021] In one embodiment of the present invention, the air velocity, particulate matter concentration data and real-time pressure drop are substituted into the filter pressure drop model to determine the filter coefficient. The calculation formula of the filter pressure drop model is as follows:

[0022] in, The pressure drop (Pa) across the filter screen is the real-time pressure drop. Average airflow per filter (m³) 3 / h); The mass (g) of ash deposited on the surface of a single filter screen. , , This is the filter coefficient.

[0023] S3: Determine the filter energy consumption based on the air velocity, particulate matter concentration data set, and filter coefficient, including: determining the total air volume in the duct based on the air velocity; determining the filter efficiency based on the particulate matter concentration data set; and determining the filter energy consumption based on the particulate matter concentration data set, total air volume, filtration efficiency, and filter coefficient.

[0024] In one embodiment of the present invention, the formula for calculating the total air volume in the duct is as follows:

[0025] in, The total air volume in the duct (m³) 3 / h); The cross-sectional area of ​​the air duct (m²) 2 ); The air velocity (m / s) is the air velocity within the duct.

[0026] In one embodiment of the present invention, the particulate matter concentration data set includes the concentration at the front end of the filter and the concentration at the back end of the filter; determining the filtration efficiency of the filter based on the particulate matter concentration data set includes: determining the filtration concentration based on the concentration at the front end of the filter and the concentration at the back end of the filter; and determining the filtration efficiency based on the filtration concentration and the concentration at the front end of the filter. The formula for calculating the filtration efficiency is as follows:

[0027] in, For filtration efficiency; The concentration at the filter front end (μg / m³) 3 ); The concentration at the back end of the filter screen (μg / m³); Filtration concentration (μg / m 3 ).

[0028] In one embodiment of the present invention, the filter energy consumption is determined based on particulate matter concentration data, total air volume, and filtration efficiency, including: determining the average pressure drop based on the concentration at the filter front end and the filtration efficiency; and determining the filter energy consumption based on the total air volume and the average pressure drop. The formula for calculating the filter energy consumption is as follows:

[0029] in, Energy consumption of the filter (J); This refers to the number of filters inside the air duct. The average particulate matter concentration before the filter (μg / m³) 3 ); Average airflow per filter (m³) 3 / h); This is the pressure drop when the filter screen is free of dust, i.e., the initial pressure drop (Pa). For filtration efficiency; The filter's running time (in minutes); The total air volume in the duct (m³) 3 / h); This is the fan coefficient, typically taken as 0.5; is the particulate matter coefficient, usually taken as 1.2-1.4; k, a, and b are all filter coefficients.

[0030] S4: Determine the energy consumption cost of the filter screen based on its energy consumption. Specifically, determine the energy consumption cost of the filter screen based on the unit price of energy consumption (local electricity price) at the installation location of the device where the filter screen is located and the energy consumption of the filter screen.

[0031] The cost of cleaning a single filter screen is determined based on the water and electricity consumption for a single cleaning, measured either before the filter leaves the factory or on-site. Specifically, the cost of cleaning a single filter screen is determined based on the energy unit price (local electricity price and local water price) of the installation location of the device where the filter screen is located, as well as the water and electricity consumption for a single cleaning.

[0032] S5: Based on the real-time pressure drop and filter energy consumption cost, generate a cleaning instruction to indicate whether to clean the filter; wherein, the cleaning instruction includes a first cleaning instruction and a second cleaning instruction.

[0033] In one embodiment of the present invention, a cleaning instruction for indicating whether to clean the filter is generated based on the real-time pressure drop and the filter energy consumption cost, including: generating a first cleaning instruction for indicating to clean the filter when the real-time pressure drop is greater than or equal to a preset pressure drop, or the filter energy consumption cost is greater than or equal to the cost of a single cleaning; and generating a second cleaning instruction for indicating not to clean the filter when the real-time pressure drop is less than the preset pressure drop and the filter energy consumption cost is less than the cost of a single cleaning.

[0034] In one embodiment of the present invention, the preset pressure drop is twice the initial pressure drop. When the real-time pressure drop is greater than or equal to the preset pressure drop, it indicates that the filter is clogged due to the filtration of particulate matter, causing excessive resistance to the airflow in the duct as it passes through the filter, which in turn prevents the filter from effectively filtering particulate matter in the air. From the perspective of filtration effect, the filter needs to be cleaned at this time.

[0035] In one embodiment of the present invention, the cost of a single cleaning is determined based on the water consumption, electricity consumption, local water price, and local electricity price of the single cleaning. When the energy consumption cost of the filter screen is greater than or equal to the cost of a single cleaning, it means that the additional cost caused by the increased energy consumption of the filter screen due to dust accumulation is higher than the cost of cleaning the filter screen. From an economic point of view, the filter screen needs to be cleaned at this time.

[0036] This invention does not simply consider filter pressure drop or use timed cleaning methods to clean duct filters. Instead, it dynamically determines the cleaning frequency by comprehensively considering the impact of filter pressure drop and dust accumulation on filter operation energy consumption, thereby reducing filter cleaning costs.

[0037] See Figure 3-5As shown, the present invention provides a duct filter cleaning device that applies the aforementioned duct filter cleaning method. This duct filter cleaning device is installed in an environmental control system comprising a duct 4, a filter 5, a fan 6, an electrostatic precipitator 7, and an air inlet 8. The filter 5, fan 6, and electrostatic precipitator 7 are located within the duct 4. External air enters the duct through the air inlet 8 to filter particulate matter. The filter 5 is located upstream of the duct 4 (downstream of the air inlet 8) to perform preliminary filtration of the air entering the duct 4. The electrostatic precipitator 7 is located downstream of the filter 5 to perform deep filtration of the pre-filtered air. The fan 6 is located downstream of the electrostatic precipitator 7 to provide transport power for the air within the duct 4.

[0038] The duct filter cleaning device includes: a control module 1, a data acquisition module 2, and a cleaning module 3; the control module 1 is connected to the data acquisition module 2 and the cleaning module 3; the data acquisition module 2 acquires the air velocity, particulate matter concentration data before and after the filter, and real-time pressure drop data before and after the filter in the duct 4; the control module 1 generates a cleaning command to indicate whether to clean the filter 5 based on the air velocity, particulate matter concentration data, and real-time pressure drop; the cleaning module 3 responds to the first cleaning command generated by the control module 1 to indicate that the filter 5 should be cleaned; at the same time, the electrostatic precipitator 7 and the fan 6 respond to the first cleaning command by shutting down and stopping operation.

[0039] In one embodiment of the present invention, the acquisition module 2 includes: a wind speed sensor 201, a particulate matter concentration sensor 202 and a pressure drop sensor 203 disposed on the filter screen 5, and the control module 1 is connected to the wind speed sensor 201, the particulate matter concentration sensor 202 and the pressure drop sensor 203.

[0040] In one embodiment of the present invention, the cleaning module 3 includes a water supply unit 301, an execution unit 302, a barrier unit 303, and a drying unit 304; the control module 1 is connected to the water supply unit 301, the execution unit 302, the barrier unit 303, and the drying unit 304; the cleaning module 3 responds to a first cleaning command by: starting the water pump 3011 of the water supply unit 301 to supply water to the execution unit 302; raising the barrier unit 303 to block the filter screen 5 and the fan 6 being cleaned by the execution unit 302 in the air duct 4; and starting the air pump 3041 of the drying unit 304 to dry the cleaned filter screen 5.

[0041] In one embodiment of the present invention, the water supply unit 301 includes a water pump 3011, a water pipe 3012, a water tank 3013, and a water inlet 3014. The water pump 3011 is connected to the control module 1, the water tank 3013 is connected to the water inlet 3014 through the water pump 3011, and the water pipe 3012 is connected to the water inlet 3014 and the execution unit 302. In response to a first cleaning command, the water supply unit 301 includes: starting the water pump 3011 to drive the water in the water tank 3013 to be sent to the execution unit 302 through the water pump 3011, the water inlet 3014, and the water pipe 3012 to clean the filter screen 5 and the electrostatic dust removal device 7.

[0042] In one embodiment of the present invention, the execution unit 302 includes a motor 3021, a high-pressure nozzle 3022, and a lead screw 3023. The motor 3021 is connected to the high-pressure nozzle 3022, the lead screw 3023, and the control module 1. The high-pressure nozzle 3022 is movably connected to the lead screw 3023. In response to a first cleaning command, the execution unit 302 includes: starting the motor 3021 to drive the high-pressure nozzle 3022 to move up and down along the lead screw 3023; starting the high-pressure nozzle 3022 and sending water from the water supply unit 301 to the high-pressure nozzle 3022 to clean the filter screen 5 and the electrostatic dust removal device 7.

[0043] In one embodiment of the present invention, the barrier unit 303 is a water barrier. When the control module 1 generates a first cleaning command, the water barrier (barrier unit 303) is raised to prevent wastewater used for cleaning the filter screen 5 and the electrostatic dust removal device 7 from entering the fan 6. When the control module 1 generates a second cleaning command, the water barrier (barrier unit 303) is not raised to ensure that the air force generated by the fan 6 can circulate in the air duct.

[0044] In one embodiment of the present invention, the drying unit 304 includes an air pump 3041, a water collection tank 3042, and a water outlet 3043. The air pump 3041 is connected to the control module 1 and the water inlet 3014 of the water supply unit 301. The water collection tank 3042 is connected to the water outlet 3043. The water collection tank 3042 is located below the air duct 4. Wastewater after cleaning the filter screen 5 and the electrostatic dust removal device 7 is discharged through the water collection tank 3042 and the water outlet 3043. The execution unit 302 responds to the first cleaning command and includes: starting the air pump 3041 when the water pump 3011 is turned off, driving the gas generated by the air pump 3041 to be sent to the high-pressure nozzle 3022 through the water inlet 3014 and the water pipe 3012 to dry the filter screen 5 and the electrostatic dust removal device 7.

[0045] In one embodiment of the present invention, the control module 1 includes a processor and a memory. The memory stores at least one instruction, at least one program, code set, or instruction set. The at least one instruction, at least one program, code set, or instruction set is loaded and executed by the processor to implement the above-described cleaning method.

[0046] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0047] The memory can be used to store the computer program or module. The processor implements various functions of the cleaning method by running or executing the computer program or module stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0048] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method of cleaning a filter screen of an air duct, characterized by, The method comprises the following steps: collecting air flow rate in the air duct, particle concentration data set before and after the filter screen, and real-time pressure drop before and after the filter screen; determining filter screen coefficient of the filter screen based on linear regression according to the air flow rate, the particle concentration data set, and the real-time pressure drop; determining filter screen energy consumption according to the air flow rate, the particle concentration data set, and the filter screen coefficient; determining filter screen energy consumption cost according to the filter screen energy consumption; generating cleaning instruction for indicating whether to clean the filter screen according to the real-time pressure drop and the filter screen energy consumption cost.

2. The method of claim 1, wherein, The method for determining filter screen energy consumption according to the air flow rate, the particle concentration data set, and the filter screen coefficient comprises the following steps: determining total air volume in the air duct according to the air flow rate; determining filtering efficiency of the filter screen according to the particle concentration data set; determining the filter screen energy consumption according to the particle concentration data set, the total air volume, the filtering efficiency, and the filter screen coefficient.

3. The method of claim 2, wherein the air duct filter cleaning method is characterized by, The particle concentration data set comprises filter screen front end concentration before the filter screen and filter screen rear end concentration after the filter screen; The method for determining filtering efficiency of the filter screen according to the particle concentration data set comprises the following steps: determining filtering concentration according to the filter screen front end concentration and the filter screen rear end concentration; determining the filtering efficiency according to the filtering concentration and the filter screen front end concentration.

4. The method of claim 1, wherein the air duct filter cleaning method is characterized by, The cleaning instruction comprises first cleaning instruction and second cleaning instruction; The method for generating cleaning instruction for indicating whether to clean the filter screen according to the real-time pressure drop and the filter screen energy consumption cost comprises the following steps: generating first cleaning instruction for indicating to clean the filter screen when the real-time pressure drop is greater than or equal to preset pressure drop, or the filter screen energy consumption cost is greater than or equal to single cleaning cost; generating second cleaning instruction for indicating not to clean the filter screen when the real-time pressure drop is less than preset pressure drop, and the filter screen energy consumption cost is less than single cleaning cost.

5. A wind tunnel screen cleaning device, applying a wind tunnel screen cleaning method according to any one of claims 1-4, characterized in that, The method comprises the following steps: controlling module, collecting module, and cleaning module; The controlling module is connected with the collecting module and the cleaning module. The collecting module collects air flow rate in the air duct, particle concentration data set before and after the filter screen, and real-time pressure drop before and after the filter screen, and the controlling module generates cleaning instruction for indicating whether to clean the filter screen according to the air flow rate, the particle concentration data set, and the real-time pressure drop; the cleaning module responds to first cleaning instruction for indicating to clean the filter screen generated by the controlling module.

6. A wind tunnel screen cleaning device according to claim 5, wherein, The collecting module comprises wind speed sensor, particle concentration sensor, and pressure drop sensor arranged in the air duct; the controlling module is connected with the wind speed sensor, the particle concentration sensor, and the pressure drop sensor.

7. A wind tunnel screen cleaning device according to claim 5, wherein, The cleaning module comprises water supply unit, execution unit, blocking unit, and drying unit; the controlling module is connected with the water supply unit, the execution unit, the blocking unit, and the drying unit; The cleaning module responding to the first cleaning instruction comprises the following steps: water pump of the water supply unit is started to supply water for the execution unit; the blocking unit is raised to block the filter screen and the fan in the air duct cleaned by the execution unit; pump of the drying unit is started to dry the cleaned filter screen.

8. A wind tunnel screen cleaning device according to claim 7, wherein, The execution unit includes a motor, a high-pressure nozzle, and a lead screw; the motor is connected to the high-pressure nozzle, the lead screw, and the control module, and the high-pressure nozzle is movably connected to the lead screw; The execution unit responds to the first cleaning command, including: The motor starts, driving the high-pressure nozzle to move up and down along the lead screw; When the high-pressure nozzle is activated, the water supply unit delivers water to the high-pressure nozzle to clean the filter screen.

9. A wind tunnel screen cleaning device according to claim 5, wherein, The control module includes a processor and a memory. The memory stores at least one instruction, at least one program, code set, or instruction set. The processor loads and executes the at least one instruction, at least one program, code set, or instruction set to implement the air duct filter cleaning method as described in any one of claims 1 to 4.

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