Dust-free laboratory ventilation pipe accumulated dust concentration detection method and system

Abstract

The invention discloses a dust-free laboratory ventilation pipe accumulated dust concentration detection method and system, and the method comprises the steps: detecting a ventilation pipe to obtain ventilation pipe information, and carrying out the region division of the ventilation pipe based on the ventilation pipe information to obtain a pipe region division result; based on the ventilation pipeline information, analyzing the influence of the ventilation pipeline material structure and the leakage condition on the accumulated dust in the pipeline to obtain a pipeline influence coefficient; detecting the air quality outside the ventilation pipe of the to-be-detected dust-free laboratory to obtain an air quality detection result, and analyzing the influence of the air quality outside the to-be-detected dust-free laboratory on the accumulated dust in the ventilation pipe based on the air quality detection result to obtain an external air influence coefficient; detecting the temperature and humidity of the to-be-detected dust-free laboratory ventilation pipe to obtain an environment temperature and humidity detection result, and analyzing the influence of the environment temperature and humidity of the to-be-detected dust-free laboratory on the accumulated dust in the ventilation pipe based on the environment temperature and humidity detection result to obtain a temperature and humidity influence coefficient. The method has the effect of improving the detection accuracy of the accumulated dust concentration of the ventilation pipe.

Description

Technical Field

[0001] The present application relates to the technical field of dust accumulation detection, and in particular to a method and system for detecting dust accumulation concentration in ventilation ducts of a dust-free laboratory. Background Art

[0002] At present, a clean room is a laboratory with strict environmental control that can minimize dust, particles and other pollutants. It usually uses a special ventilation system and a strict workflow to ensure that the experimental process is not affected by the external environment to ensure the accuracy and reliability of the experimental results. Experiments conducted in clean rooms usually have very high environmental requirements, such as microelectronics manufacturing, biomedical research, drug development, and optics. When dust accumulates in the ventilation duct of a clean room, the dust is easily brought into the clean room when the ventilation system is working.

[0003] The existing dust concentration detection method for the ventilation duct of the dust-free laboratory is to deposit a sampler on the surface of the ventilation duct wall, remove the deposition sampler after a period of time to analyze the particulate matter content, and thus evaluate the dust concentration in the ventilation duct. The existing dust concentration detection method for the ventilation duct of the dust-free laboratory cannot provide the dust concentration data in the ventilation duct in time, so dust removal treatment is performed when the dust concentration is high, which affects the experimental effect of the dust-free laboratory. The accuracy of the dust concentration detection of the ventilation duct of the dust-free laboratory is low, and there is room for improvement. Summary of the invention

[0004] In order to improve the accuracy of dust concentration detection in ventilation ducts of a clean room, the present application provides a method and system for detecting dust concentration in ventilation ducts of a clean room.

[0005] In the first aspect, the present application provides a method for detecting dust concentration in ventilation ducts of a clean room laboratory, which adopts the following technical solution: A method for detecting dust concentration in a ventilation duct of a dust-free laboratory comprises the following steps: Detecting the ventilation duct to obtain ventilation duct information, and dividing the ventilation pipe into regions based on the ventilation duct information to obtain a duct region division result; Based on the ventilation duct information, analyze the influence of ventilation duct material structure and leakage on dust accumulation in the duct, and obtain the duct influence coefficient; The air quality outside the ventilation duct of the dust-free laboratory to be tested is detected to obtain an air quality test result, and based on the air quality test result, the influence of the air quality outside the dust-free laboratory to be tested on the dust accumulation in the ventilation duct is analyzed to obtain an external air influence coefficient; The temperature and humidity of the ventilation duct of the clean room to be tested are detected to obtain the environmental temperature and humidity detection results, and based on the environmental temperature and humidity detection results, the influence of the environmental temperature and humidity of the clean room to be tested on the dust accumulation in the ventilation duct is analyzed to obtain the temperature and humidity influence coefficient; The environmental impact coefficient is obtained by combining the pipeline impact coefficient, the external air impact coefficient, and the temperature and humidity impact coefficient. The detection frequency of dust accumulation detection in the ventilation pipe is analyzed based on the environmental impact coefficient. The inlet and outlet of the ventilation pipe are closed, and the closed ventilation pipe is blown. The ventilation pipe is irradiated with a laser and photographed to obtain photographed image information. Based on the photographed image information, the dust accumulation in the ventilation pipe is analyzed to obtain dust concentration information. Based on the pipeline influence coefficient, determine whether there is a pipeline leakage point in the ventilation pipe. If there is a pipeline leakage point, collect the accumulated dust and repair the pipeline leakage point based on the collected accumulated dust. By adopting the above technical scheme, the influence of the material structure and leakage of the ventilation duct on the dust accumulation in the duct is analyzed based on the ventilation duct information to obtain the duct influence coefficient, the influence of the air quality outside the ventilation duct on the dust accumulation in the ventilation duct is analyzed to obtain the external air influence coefficient, the influence of the temperature and humidity of the ventilation duct environment on the dust accumulation in the ventilation duct is analyzed to obtain the temperature and humidity influence coefficient, the pipeline influence coefficient, the external air influence coefficient and the temperature and humidity influence coefficient are combined to obtain the environmental influence coefficient, the dust accumulation detection frequency of the ventilation duct is analyzed based on the environmental influence coefficient, and the accuracy of the dust accumulation detection in the ventilation duct is improved, the laser irradiation and shooting of the ventilation duct is used to obtain the captured image information, the dust concentration is analyzed based on the captured image information, and the accuracy of the dust concentration detection in the ventilation duct is improved.

[0006] Preferably, the ventilation duct of the clean room to be tested is tested to obtain ventilation duct information, wherein the ventilation duct information includes duct structure information and duct connection information; Analyzing the bending condition of the ventilation pipe based on the pipe structure information to obtain pipe bending information, marking the pipe bending information as a first area division feature, and performing a primary area division on the ventilation pipe of the clean room to be tested based on the first area division feature to obtain a primary division result; The pipeline connection information is marked as a second classification feature. Based on the second classification feature and the initial division result, the ventilation pipes of the dust-free laboratory to be tested are divided into regions again to obtain a pipeline region division result.

[0007] By adopting the above technical solution, the pipe bending condition is analyzed based on the pipe structure information to obtain the pipe bending information, and the ventilation pipe is divided into areas based on the pipe bending information and the pipe connection information, so as to provide data support for the subsequent detection of dust concentration in the ventilation pipe.

[0008] Preferably, based on the ventilation duct information and the duct area division result, the influence of the duct structure and duct material of each duct area on the dust accumulation in the duct is analyzed to obtain the duct structure influence coefficient of each duct area; The leakage of ventilation ducts is detected to obtain duct leakage information. Based on the duct leakage information and the duct area division results, the influence of duct leakage of ventilation ducts in each area on dust accumulation in the ventilation ducts is analyzed to obtain the duct leakage influence coefficient. The pipeline influence coefficient is calculated by comprehensively considering the pipeline structure influence coefficient and the pipeline leakage influence coefficient to obtain the pipeline influence coefficient.

[0009] By adopting the above technical scheme, the influence of the pipeline structure and the pipeline material on the dust accumulation in the pipeline is analyzed based on the ventilation duct information and the pipeline area division results to obtain the pipeline structure influence coefficient, the influence of pipeline leakage on the dust accumulation in the pipeline is detected and analyzed based on the pipeline leakage situation to obtain the pipeline leakage influence coefficient, the pipeline structure influence coefficient and the pipeline leakage influence coefficient are comprehensively considered, and the influence of the pipeline on the dust accumulation in the ventilation duct is analyzed to obtain the pipeline influence coefficient, which improves the accuracy of detecting the influence of the pipeline on the dust accumulation in the ventilation duct.

[0010] Preferably, based on the pipeline structure information and the pipeline area division result, the influence of the pipeline structure of the ventilation pipe in each area on the dust accumulation in the ventilation pipe is analyzed to obtain the structural influence coefficient; The ventilation duct information also includes duct material information and duct inner wall roughness information. Based on the duct material information and duct inner wall roughness information, the flatness of the duct inner wall in each area of ​​the ventilation duct is analyzed to obtain the duct inner wall flatness information of each area. Based on the information of the flatness of the inner wall of the pipe and the results of the pipe area division, the influence of the pipe material of the ventilation pipe in each area and the roughness of the inner wall of the pipe on the dust accumulation in the ventilation pipe is analyzed to obtain the material influence coefficient; The comprehensive structural influence coefficient and material influence coefficient are calculated to obtain the pipeline structure influence coefficient of each area.

[0011] By adopting the above technical scheme, the structural influence coefficient is obtained by analyzing the influence of the pipeline structure of the ventilation duct on the dust accumulation in the ventilation duct, the pipeline inner wall flatness is analyzed by the pipeline material information and the pipeline inner wall roughness information to obtain the pipeline inner wall flatness information, and the material influence coefficient is obtained by analyzing the influence of the pipeline inner flatness on the dust accumulation in the ventilation duct based on the pipeline flatness information. The pipeline structure influence coefficient is obtained by combining the structural influence coefficient and the material influence coefficient, which improves the accuracy of detecting the influence of the pipeline structure on the dust accumulation in the ventilation duct.

[0012] Preferably, a lighting assembly is obtained and attached to the inner wall of the ventilation duct, wherein the lighting assembly is composed of a transparent soft board and lamp beads, and the lamp beads are evenly arranged on the transparent soft board; Obtain a three-dimensional rectangular coordinate system, detect the position of the ventilation pipe, and display the position of the ventilation pipe and the pipe area division result on the three-dimensional rectangular coordinate system; The illumination component illuminates the interior of the ventilation duct, detects the light intensity of the outer wall of the ventilation duct in a dark and closed environment to obtain a plurality of light intensity data, selects a point in the plurality of light intensity data that is much greater than other light intensity data and records it as a light point, and the light point is preliminarily determined to be a leakage prediction point; Obtain a pressure-sensitive sensor and establish a signal connection between the pressure-sensitive sensor and the ventilation duct, attach the pressure-sensitive sensor to the leakage prediction point on the outer wall of the ventilation duct, set a check valve at the connection between the ventilation duct and the clean room to be tested, and set a fan on the side of the check valve away from the clean room; Start the fan to blow air into the ventilation duct. At the same time, the pressure sensor detects the pressure value of the leakage prediction point in real time to obtain the pressure value of the prediction point. The pressure threshold is set based on the wind force when the fan is turned on. The pressure value of the prediction point is compared with the pressure threshold to obtain the pressure comparison result. Adjust the fan opening range, and at the same time detect whether the pressure value at the prediction point changes with the adjustment of the fan opening range; If the predicted point pressure value of the leakage prediction point in the pressure comparison result is greater than the preset pressure threshold, and the predicted point pressure value of the leakage prediction point changes with the adjustment of the fan opening amplitude, the leakage prediction point is judged to be a pipeline leakage point, and the pipeline leakage point is displayed in the three-dimensional rectangular coordinate system; When the fan opening amplitude is at a fixed value, the difference between the predicted point pressure value of the leakage prediction point in the pressure comparison result and the pressure threshold is calculated to obtain the pressure difference, and the leakage degree of the pipeline leakage point is analyzed based on the pressure difference; Based on the number of pipeline leakage points and the leakage degree of each pipeline leakage point, the influence of pipeline leakage of ventilation pipes in each area on dust accumulation in the ventilation pipes is analyzed to obtain the pipeline leakage influence coefficient.

[0013] By adopting the above technical scheme, the ventilation duct is illuminated based on the illumination component, the light intensity of the outer wall of the ventilation duct in a dark and closed environment is detected, the leakage position is preliminarily determined based on multiple light intensity data and recorded as a leakage prediction point, when there is no leakage point in the ventilation duct, the light intensity of the outer wall of the ventilation duct is the same constant value, which improves the accuracy of detecting the leakage position of the ventilation duct, and the pressure value of the leakage prediction point is obtained by blowing the inner wall of the ventilation duct and detecting the pressure value of the leakage prediction point based on the pressure-sensitive sensor. If there is no leakage, the pressure value of the prediction point is consistent with the pressure values ​​of other positions on the outer wall of the ventilation duct and is the same constant value. If there is a leakage, the pressure value of the prediction point is greater than the pressure values ​​of other positions on the outer wall of the ventilation duct, and the pressure value of the prediction point changes with the wind force. Based on the leakage point pressure value, whether the leakage prediction point is leaking and the degree of leakage prediction point are further analyzed, which further improves the accuracy of detecting the leakage position of the ventilation duct, and based on the number of pipeline leakage points and the leakage degree of each pipeline leakage point, the influence of pipeline leakage of the ventilation duct on dust accumulation in the ventilation duct is analyzed to obtain the pipeline leakage influence coefficient, which improves the accuracy of detecting the influence of pipeline leakage on dust accumulation in the ventilation duct.

[0014] Preferably, the particle size of the air particles outside the ventilation duct of the dust-free laboratory to be tested is detected to obtain the particle size information; Detecting the pH of the air outside the ventilation duct of the dust-free laboratory to be tested to obtain air pH information, and combining the particle size information with the air pH information to form an air quality test result; Based on the particle size information of the air particles outside the ventilation duct, the effect of the particle size on the particle settling velocity is analyzed to obtain the particle size influence coefficient; Based on the air pH information outside the ventilation duct, the influence of pH on the particle settling velocity is analyzed to obtain the pH influence coefficient; The air quality sedimentation coefficient is calculated by combining the particle size influence coefficient and the pH influence coefficient; The external air influence coefficient is analyzed based on the air quality influence sedimentation coefficient, where the external air influence coefficient is positively correlated with the air quality influence sedimentation coefficient.

[0015] By adopting the above technical scheme, based on detecting the particle size and pH of the air particulate matter outside the ventilation duct of the dust-free laboratory to be tested, the influence of the particle size information and the air pH information on the particle sedimentation velocity is analyzed to obtain the air quality influence sedimentation coefficient, and the external air influence coefficient is analyzed based on the air quality influence sedimentation coefficient, thereby improving the accuracy of detecting the influence of the air outside the ventilation duct on the dust accumulation in the ventilation duct.

[0016] Preferably, the ambient temperature information is obtained by detecting the temperature around the ventilation duct of the clean room to be tested, and the ambient humidity information is obtained by detecting the humidity around the ventilation duct of the clean room to be tested, and the ambient temperature information and the ambient humidity information are combined to form the ambient temperature and humidity detection result; Based on the ambient temperature information, the diffusion rate of particles in the air around the ventilation duct is analyzed, where the diffusion rate of particles is positively correlated with the ambient temperature; The temperature influence coefficient is obtained by analyzing the effect of temperature on the particle settling velocity based on the particle diffusion velocity; Based on the ambient humidity information, the dust adsorption capacity of particulate matter in the air around the ventilation duct is analyzed, where the dust adsorption capacity is positively correlated with the ambient humidity; The particle mass influence coefficient is analyzed based on the dust adsorption capacity of the particles in the air around the ventilation pipe, where the particle mass influence coefficient is positively correlated with the dust adsorption capacity. The humidity influence coefficient is obtained based on the particle mass influence coefficient to analyze the effect of humidity on the particle settling velocity, where the humidity influence coefficient is positively correlated with the particle mass influence coefficient. The temperature influence coefficient and humidity influence coefficient are calculated comprehensively to obtain the temperature and humidity influence coefficient.

[0017] By adopting the above technical scheme, based on detecting the ambient temperature and humidity around the ventilation duct of the dust-free laboratory to be tested, the diffusion rate of particles in the surrounding air at the ambient temperature is analyzed, thereby analyzing the influence of the ambient temperature on the particle settling rate to obtain the temperature influence coefficient, and analyzing the dust adsorption capacity of the surrounding air at the ambient humidity, thereby analyzing the influence of the ambient humidity on the dust particle mass to obtain the particle mass influence coefficient, based on the particle mass influence coefficient, the influence of ambient humidity on the particle settling rate is analyzed to obtain the humidity influence coefficient, and the temperature influence coefficient and the humidity influence coefficient are comprehensively calculated to obtain the temperature and humidity influence coefficient, thereby improving the accuracy of detecting the influence of the external ambient temperature and humidity of the ventilation duct on the dust accumulation in the ventilation duct.

[0018] Preferably, the environmental impact coefficient is obtained by performing mean calculation based on the pipeline impact coefficient, the external air impact coefficient and the temperature and humidity impact coefficient; The dust accumulation detection frequency in the ventilation duct of the clean room to be tested is analyzed based on the environmental impact coefficient, where the dust accumulation detection frequency is positively correlated with the environmental impact coefficient; A gate valve is installed at the connection between the ventilation pipe and the external environment, the gate valve and the check valve are closed, and the ventilation pipe in the closed state is blown by the fan; A shooting component is installed in each area of ​​the ventilation duct, and images of each area in the ventilation duct are shot based on the shooting component to obtain the shot image information of each area; Based on the captured image information of each area, the dust particle number information and dust particle size information of each area are analyzed, and the dust concentration of each area is calculated based on the dust particle number information and dust particle size information to obtain the dust concentration information.

[0019] By adopting the above technical scheme, the environmental influence coefficient is calculated based on the pipeline influence coefficient, the external air influence coefficient and the temperature and humidity influence coefficient, and the dust accumulation detection frequency in the ventilation duct of the dust-free laboratory to be tested is analyzed based on the environmental influence coefficient, thereby improving the accuracy of dust accumulation detection in the ventilation duct of the dust-free laboratory. By using the shooting component to capture image information of each area in the ventilation duct in the blowing state, the captured image information is analyzed to obtain dust collection concentration information, thereby improving the accuracy of dust accumulation concentration detection in the ventilation duct of the dust-free laboratory.

[0020] Preferably, it is determined whether there is a pipeline leakage point in the ventilation pipe based on the pipeline leakage influence coefficient, that is, the pipeline leakage influence coefficient indicates that there is a pipeline leakage point in the ventilation pipe; If there is a pipeline leak, the dust in the ventilation duct will be adsorbed and collected based on electrostatic technology; The collected dust is screened, dust particles of suitable size are selected to obtain recycled dust, and ventilation pipe component materials and adhesives are added to the recycled dust to obtain repair materials; Find the location of the pipe leak, apply the repair material evenly on the inner wall of the ventilation pipe where the pipe leak is located and wait for it to dry.

[0021] By adopting the above technical scheme, the dust accumulated in the ventilation duct of the dust-free laboratory to be tested is collected and recovered, and the dust particles of suitable size are screened, and the components of the ventilation duct and adhesive are added to mix to obtain a repair material, and the repair material is evenly applied to the pipeline leakage point to reduce the impact of pipeline leakage on dust accumulation in the ventilation duct.

[0022] In the second aspect, the present application provides a dust concentration detection system for ventilation ducts in a clean room laboratory, which adopts the following technical solution: A dust concentration detection system for ventilation ducts in a dust-free laboratory, comprising: A region division module is configured to detect the ventilation duct to obtain ventilation duct information, and divide the ventilation duct into regions based on the ventilation duct information to obtain a duct region division result; A ventilation duct analysis module is configured to analyze the influence of the ventilation duct material structure and leakage on the dust accumulation in the duct based on the ventilation duct information, and obtain a duct influence coefficient; The air quality analysis module is configured to detect the air quality outside the ventilation duct of the dust-free laboratory to be tested to obtain an air quality detection result, and analyze the influence of the air quality outside the dust-free laboratory to be tested on the dust accumulation in the ventilation duct based on the air quality detection result to obtain an external air influence coefficient; An environmental temperature and humidity analysis module is configured to detect the temperature and humidity of the ventilation duct of the clean room to be tested to obtain an environmental temperature and humidity detection result, and based on the environmental temperature and humidity detection result, analyze the influence of the environmental temperature and humidity of the clean room to be tested on the dust accumulation in the ventilation duct to obtain a temperature and humidity influence coefficient; The dust concentration detection module is configured to obtain an environmental influence coefficient by comprehensively considering the influence coefficient of the pipeline, the influence coefficient of the external air, and the influence coefficient of the temperature and humidity, analyze the detection frequency of the dust accumulation detection in the ventilation pipe based on the environmental influence coefficient, seal the inlet and outlet of the ventilation pipe, perform a blowing operation in the closed ventilation pipe, irradiate the inside of the ventilation pipe with a laser and take a picture to obtain the photographed image information, and analyze the dust accumulation in the ventilation pipe based on the photographed image information to obtain the dust concentration information; The leakage inspection module is configured to determine whether there is a pipeline leakage point in the ventilation duct based on the pipeline influence coefficient, collect the accumulated dust if there is a pipeline leakage point, and repair the pipeline leakage point based on the collected accumulated dust.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. The influence of the ventilation duct material structure and leakage on the dust accumulation in the duct is analyzed through the ventilation duct information to obtain the duct influence coefficient, the influence of the air quality outside the ventilation duct on the dust accumulation in the ventilation duct is analyzed to obtain the external air influence coefficient, the influence of the temperature and humidity of the ventilation duct environment on the dust accumulation in the ventilation duct is analyzed to obtain the temperature and humidity influence coefficient, the pipeline influence coefficient, the external air influence coefficient and the temperature and humidity influence coefficient are combined to obtain the environmental influence coefficient, the ventilation duct dust accumulation detection frequency is analyzed based on the environmental influence coefficient, and the accuracy of ventilation duct dust accumulation detection is improved, the laser irradiation and shooting of the ventilation duct obtains the shooting image information, and the dust concentration is analyzed based on the shooting image information, which improves the accuracy of the dust concentration detection in the ventilation duct; 2. The ventilation duct is illuminated by means of a lighting component, and the light intensity of the outer wall of the ventilation duct in a dark and closed environment is detected. The leakage position is preliminarily determined based on multiple light intensity data and recorded as a leakage prediction point. When there is no leakage point in the ventilation duct, the light intensity of the outer wall of the ventilation duct is the same constant value, which improves the accuracy of detecting the leakage position of the ventilation duct. By blowing air on the inner wall of the ventilation duct, the pressure value of the leakage prediction point is detected based on the pressure-sensitive sensor to obtain the pressure value of the prediction point. If there is no leakage, the pressure value of the prediction point is consistent with the pressure value of other positions on the outer wall of the ventilation duct, which is the same constant value. If there is a leakage, the pressure value of the prediction point is greater than the pressure value of other positions on the outer wall of the ventilation duct, and the pressure value of the prediction point changes with the wind force. Based on the pressure value of the leakage point, whether the leakage prediction point is leaking is further analyzed, and the degree of leakage prediction point is analyzed, which further improves the accuracy of detecting the leakage position of the ventilation duct. Based on the number of pipeline leakage points and the degree of leakage of each pipeline leakage point, the influence of pipeline leakage of the ventilation duct on dust accumulation in the ventilation duct is analyzed to obtain the pipeline leakage influence coefficient, which improves the accuracy of detecting the influence of pipeline leakage on dust accumulation in the ventilation duct; 3. Collect and recycle the dust in the ventilation duct of the dust-free laboratory to be tested, screen the dust particles of suitable size, add the ventilation duct component materials and adhesives to mix to obtain the repair material, and apply the repair material evenly on the pipeline leakage point to reduce the impact of pipeline leakage on the dust in the ventilation duct. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a schematic diagram of the process of the dust concentration detection method of the ventilation duct of a clean laboratory mainly embodied in this embodiment; Figure 2 This is a module schematic diagram of a dust concentration detection system for ventilation ducts in a dust-free laboratory, which is mainly reflected in this embodiment. DETAILED DESCRIPTION

[0025] The present application is further described in detail below in conjunction with the accompanying drawings.

[0026] The embodiment of the present application discloses a method for detecting dust concentration in a ventilation duct of a dust-free laboratory.

[0027] A method for detecting dust concentration in a ventilation duct of a dust-free laboratory comprises the following steps: Reference Figure 1 In step S1, the ventilation duct is detected to obtain ventilation duct information, and the ventilation duct is divided into regions based on the ventilation duct information to obtain a duct region division result. Step S1 specifically includes the following sub-steps: Step S11, detecting the ventilation ducts of the clean room to be detected to obtain ventilation duct information, where the ventilation duct information includes duct structure information and duct connection information.

[0028] Step S12, analyzing the bending condition of the ventilation duct based on the duct structure information to obtain duct bending information, marking the duct bending information as a first area division feature, and performing a primary area division on the ventilation duct of the clean room to be tested based on the first area division feature to obtain a primary division result.

[0029] Step S13, marking the pipeline connection information as a second classification feature, and based on the second classification feature and the initial division result, re-dividing the ventilation pipes of the clean room to be tested into regions to obtain a pipeline region division result.

[0030] In specific applications, the pipe bending information is obtained by analyzing the pipe bending situation through the pipe structure information, and the ventilation pipes are divided into areas based on the pipe bending information and the pipe connection information, so as to provide data support for the subsequent detection of dust concentration in the ventilation pipes.

[0031] Reference Figure 1 Step S2: Analyze the influence of the ventilation duct material structure and leakage on the dust accumulation in the duct based on the ventilation duct information to obtain the duct influence coefficient. Step S2 specifically includes the following sub-steps: Step S21, based on the ventilation duct information and the duct area division results, analyze the influence of the duct structure and duct material of each duct area on the dust accumulation in the duct to obtain the duct structure influence coefficient of each duct area. Step S21 specifically includes the following sub-steps: Step S211, based on the pipeline structure information and the pipeline area division result, the influence of the pipeline structure of the ventilation pipe in each area on the dust accumulation in the ventilation pipe is analyzed to obtain the structural influence coefficient.

[0032] Step S212, the ventilation duct information also includes duct material information and duct inner wall roughness information. Based on the duct material information and duct inner wall roughness information, the flatness of the duct inner wall in each area of ​​the ventilation duct is analyzed to obtain the duct inner wall flatness information of each area.

[0033] Step S213, based on the pipeline inner wall flatness information and the pipeline area division result, analyze the influence of the pipeline material and the pipeline inner wall roughness of the ventilation pipe in each area on the dust accumulation in the ventilation pipe to obtain the material influence coefficient.

[0034] Step S214, comprehensively calculating the structural influence coefficient and the material influence coefficient to obtain the pipeline structural influence coefficient of each area.

[0035] In specific applications, the structural influence coefficient is obtained by analyzing the influence of the pipeline structure of the ventilation duct on the dust accumulation in the ventilation duct, the pipeline inner wall flatness is analyzed by the pipeline material information and the pipeline inner wall roughness information to obtain the pipeline inner wall flatness information, and the influence of the pipeline inner flatness on the dust accumulation in the ventilation duct is analyzed based on the pipeline flatness information to obtain the material influence coefficient. The structural influence coefficient and the material influence coefficient are combined to obtain the pipeline structure influence coefficient, which improves the accuracy of detecting the influence of the pipeline structure on the dust accumulation in the ventilation duct.

[0036] Step S22, detecting the leakage of the ventilation duct to obtain the duct leakage information, and based on the duct leakage information and the duct area division result, analyzing the influence of the duct leakage of the ventilation ducts in each area on the dust accumulation in the ventilation duct to obtain the duct leakage influence coefficient. Step S22 specifically includes the following sub-steps: Step S221, obtaining a lighting assembly and attaching the lighting assembly to the inner wall of the ventilation duct, wherein the lighting assembly is composed of a transparent soft board and lamp beads, and the lamp beads are evenly arranged on the transparent soft board.

[0037] Step S222, obtaining a three-dimensional rectangular coordinate system, detecting the position of the ventilation pipe, and displaying the position of the ventilation pipe and the pipe area division result on the three-dimensional rectangular coordinate system.

[0038] In step S223, the lighting component illuminates the interior of the ventilation duct, detects the light intensity on the outer wall of the ventilation duct in a dark closed environment to obtain multiple light intensity data, selects points in the multiple light intensity data that are much greater than other light intensity data and records them as light spots, and preliminarily determines the light spots as leakage prediction points.

[0039] Step S224, obtain the pressure sensitive sensor and establish a signal connection between the pressure sensitive sensor and the ventilation duct, attach the pressure sensitive sensor to the leakage prediction point on the outer wall of the ventilation duct, set a check valve at the connection between the ventilation duct and the dust-free laboratory to be tested, and set a fan on the side of the check valve away from the dust-free laboratory.

[0040] Step S225, start the fan to blow air into the ventilation duct. At the same time, the pressure-sensitive sensor detects the pressure value of the leakage prediction point in real time to obtain the pressure value of the prediction point. The pressure threshold is set based on the wind force when the fan is turned on, and the pressure value of the prediction point is compared with the pressure threshold to obtain a pressure comparison result.

[0041] Step S226, adjusting the fan opening amplitude, and detecting whether the pressure value at the prediction point changes with the adjustment of the fan opening amplitude.

[0042] Step S227, if the predicted point pressure value of the leakage prediction point in the pressure comparison result is greater than the preset pressure threshold, and the predicted point pressure value of the leakage prediction point changes with the adjustment of the fan opening amplitude, then the leakage prediction point is judged to be a pipeline leakage point, and the pipeline leakage point is displayed in the three-dimensional rectangular coordinate system.

[0043] Step S228, when the fan opening amplitude is at a fixed value, the difference between the predicted point pressure value of the leakage prediction point in the pressure comparison result and the pressure threshold is calculated to obtain the pressure difference, and the leakage degree of the pipeline leakage point is analyzed based on the pressure difference.

[0044] Step S229, based on the number of pipeline leakage points and the leakage degree of each pipeline leakage point, the influence of pipeline leakage of ventilation pipes in each area on dust accumulation in the ventilation pipe is analyzed to obtain the pipeline leakage influence coefficient. Among them, the more the number of pipeline leakage points, the more dust enters the ventilation pipe, and the more dust accumulates in the ventilation pipe, and the higher the leakage degree of each pipeline leakage point, the more dust enters the ventilation pipe, and the more dust accumulates in the ventilation pipe.

[0045] In specific applications, the ventilation duct is illuminated by a lighting component to detect the light intensity of the outer wall of the ventilation duct in a dark and closed environment. The leakage position is preliminarily determined based on multiple light intensity data and recorded as a leakage prediction point. When there is no leakage point in the ventilation duct, the light intensity of the outer wall of the ventilation duct is the same value, which improves the accuracy of detecting the leakage position of the ventilation duct. The inner wall of the ventilation duct is blown and the pressure value of the leakage prediction point is detected based on the pressure-sensitive sensor to obtain the pressure value of the prediction point. If there is no leakage, the pressure value of the prediction point is consistent with the pressure values ​​of other positions on the outer wall of the ventilation duct and is the same value. If there is a leakage, the pressure value of the prediction point is greater than the pressure values ​​of other positions on the outer wall of the ventilation duct, and the pressure value of the prediction point changes with the wind force. Based on the leakage point pressure value, whether the leakage prediction point is leaking and the degree of leakage prediction point are further analyzed, which further improves the accuracy of detecting the leakage position of the ventilation duct. Based on the number of pipeline leakage points and the leakage degree of each pipeline leakage point, the influence of pipeline leakage of the ventilation duct on dust accumulation in the ventilation duct is analyzed to obtain the pipeline leakage influence coefficient, which improves the accuracy of detecting the influence of pipeline leakage on dust accumulation in the ventilation duct.

[0046] Step S23, comprehensively calculating the pipeline structure influence coefficient and the pipeline leakage influence coefficient to obtain the pipeline influence coefficient.

[0047] In specific applications, the influence of the pipeline structure and the pipeline material on the dust accumulation in the pipeline is analyzed through the ventilation duct information and the pipeline area division results to obtain the pipeline structure influence coefficient. The influence of pipeline leakage on the dust accumulation in the pipeline is detected and analyzed based on the pipeline leakage situation to obtain the pipeline leakage influence coefficient. The pipeline structure influence coefficient and the pipeline leakage influence coefficient are comprehensively analyzed to analyze the influence of the pipeline on the dust accumulation in the ventilation duct to obtain the pipeline influence coefficient, which improves the accuracy of detecting the influence of the pipeline on the dust accumulation in the ventilation duct.

[0048] Reference Figure 1 , step S3, detecting the air quality outside the ventilation duct of the clean room to be tested to obtain an air quality detection result, and analyzing the influence of the air quality outside the clean room to be tested on the dust accumulation in the ventilation duct based on the air quality detection result to obtain the external air influence coefficient. Step S3 specifically includes the following sub-steps: Step S31, detecting the particle size of the air particles outside the ventilation duct of the clean room to be tested to obtain particle size information.

[0049] Step S32, detecting the pH of the air outside the ventilation duct of the dust-free laboratory to be tested to obtain air pH information, and combining the particle size information with the air pH information to form an air quality test result.

[0050] Step S33: Based on the particle size information of the air particles outside the ventilation duct, the influence of the particle size on the particle settling velocity is analyzed to obtain a particle size influence coefficient.

[0051] Step S34, based on the air pH information outside the ventilation pipe, the influence of pH on the particle settling velocity is analyzed to obtain the pH influence coefficient.

[0052] Step S35, calculating the air quality influence sedimentation coefficient by comprehensively considering the particle size influence coefficient and the pH influence coefficient.

[0053] Step S36, analyzing the external air influence coefficient based on the air quality influence sedimentation coefficient, wherein the external air influence coefficient is positively correlated with the air quality influence sedimentation coefficient.

[0054] In specific application, by detecting the particle size and pH of the air particulate matter outside the ventilation duct of the dust-free laboratory to be tested, the influence of the particle size information and the air pH information on the particle sedimentation velocity is analyzed to obtain the air quality influence sedimentation coefficient, and the external air influence coefficient is analyzed based on the air quality influence sedimentation coefficient, which improves the accuracy of detecting the influence of the air outside the ventilation duct on the dust accumulation in the ventilation duct.

[0055] Reference Figure 1Step S4, detecting the temperature and humidity of the ventilation duct of the clean room to be tested to obtain the environmental temperature and humidity detection result, and analyzing the influence of the environmental temperature and humidity of the clean room to be tested on the dust accumulation in the ventilation duct based on the environmental temperature and humidity detection result to obtain the temperature and humidity influence coefficient. Step S4 specifically includes the following sub-steps: Step S41, detecting the temperature around the ventilation duct of the clean room to be tested to obtain ambient temperature information, detecting the humidity around the ventilation duct of the clean room to be tested to obtain ambient humidity information, and combining the ambient temperature information and the ambient humidity information to form an ambient temperature and humidity detection result.

[0056] Step S42: analyzing the diffusion rate of particles in the air around the ventilation duct based on the ambient temperature information, wherein the diffusion rate of particles is positively correlated with the ambient temperature.

[0057] Step S43, analyzing the influence of temperature on the particle settling velocity based on the particle diffusion velocity to obtain a temperature influence coefficient.

[0058] Step S44: analyzing the dust adsorption capacity of the particles in the air around the ventilation duct based on the ambient humidity information, wherein the dust adsorption capacity is positively correlated with the ambient humidity.

[0059] Step S45, analyzing the particle mass influence coefficient based on the dust adsorption capacity of the particles in the air around the ventilation duct, wherein the particle mass influence coefficient is positively correlated with the dust adsorption capacity, and analyzing the influence of humidity on the particle settling velocity based on the particle mass influence coefficient to obtain the humidity influence coefficient, wherein the humidity influence coefficient is positively correlated with the particle mass influence coefficient.

[0060] Step S46, comprehensively calculating the temperature influence coefficient and the humidity influence coefficient to obtain the temperature and humidity influence coefficient.

[0061] In specific application, by detecting the ambient temperature and humidity around the ventilation duct of the dust-free laboratory to be tested, the diffusion rate of particles in the surrounding air at ambient temperature is analyzed, thereby analyzing the influence of ambient temperature on the particle settling rate to obtain the temperature influence coefficient, and analyzing the dust adsorption capacity of the surrounding air at ambient humidity, thereby analyzing the influence of ambient humidity on the mass of dust particles to obtain the particle mass influence coefficient, and based on the particle mass influence coefficient, the influence of ambient humidity on the particle settling rate is analyzed to obtain the humidity influence coefficient, and the temperature influence coefficient and the humidity influence coefficient are comprehensively calculated to obtain the temperature and humidity influence coefficient, which improves the accuracy of detecting the influence of the external ambient temperature and humidity of the ventilation duct on the dust accumulation in the ventilation duct.

[0062] Reference Figure 1, step S5, comprehensively calculate the pipeline influence coefficient, the external air influence coefficient, and the temperature and humidity influence coefficient to obtain the environmental influence coefficient, analyze the detection frequency of the ventilation pipe dust accumulation detection based on the environmental influence coefficient, close the ventilation pipe inlet and outlet, blow air into the closed ventilation pipe, irradiate the ventilation pipe with laser and take pictures to obtain the shooting image information, and analyze the dust accumulation in the ventilation pipe based on the shooting image information to obtain the dust accumulation concentration information. Step S5 specifically includes the following sub-steps: Step S51, performing mean calculation based on the pipeline influence coefficient, the external air influence coefficient and the temperature and humidity influence coefficient to obtain the environmental influence coefficient.

[0063] Step S52: analyzing the dust accumulation detection frequency in the ventilation duct of the clean room to be tested based on the environmental impact coefficient, wherein the dust accumulation detection frequency is positively correlated with the environmental impact coefficient.

[0064] Step S53, a gate valve is provided at the connection between the ventilation pipe and the external environment, the gate valve and the check valve are closed, and a blower is used to blow air to the ventilation pipe in a closed state.

[0065] Step S54: a shooting component is installed in each area of ​​the ventilation duct, and each area of ​​the ventilation duct is shot based on the shooting component to obtain the shot image information of each area.

[0066] Step S55, based on the captured image information of each area, analyzing the dust particle number information and dust particle size information of each area, and calculating the dust concentration of each area based on the dust particle number information and dust particle size information to obtain dust concentration information.

[0067] In specific application, the environmental impact coefficient is calculated by the pipeline impact coefficient, the external air impact coefficient, and the temperature and humidity impact coefficient. The dust accumulation detection frequency in the ventilation duct of the dust-free laboratory to be tested is analyzed based on the environmental impact coefficient, which improves the accuracy of dust accumulation detection in the ventilation duct of the dust-free laboratory. The image information of each area in the ventilation duct under the blowing state is captured by the shooting component, and the dust collection concentration information is obtained by analyzing the captured image information, which improves the accuracy of dust concentration detection in the ventilation duct of the dust-free laboratory.

[0068] Reference Figure 1 In step S6, based on the pipeline influence coefficient, it is determined whether there is a pipeline leakage point in the ventilation pipe. If there is a pipeline leakage point, the accumulated dust is collected, and the pipeline leakage point is repaired based on the collected accumulated dust. Step S6 specifically includes the following sub-steps: Step S61, judging whether there is a pipeline leakage point in the ventilation pipe based on the pipeline leakage influence coefficient, that is, if the pipeline leakage influence coefficient is 0, then there is a pipeline leakage point in the ventilation pipe.

[0069] Step S62: If there is a pipeline leakage point, the dust in the ventilation pipe is adsorbed and collected based on electrostatic technology.

[0070] Step S63, screening the collected dust, selecting dust particles of suitable size to obtain recovered dust, adding ventilation pipe component materials and adhesive to the recovered dust and blending them to obtain repair material.

[0071] Step S64, obtaining the location of the pipeline leakage point, applying the repair material evenly on the inner wall of the ventilation pipe where the pipeline leakage point is located and waiting for air drying.

[0072] In specific applications, the dust accumulated in the ventilation duct of the dust-free laboratory to be tested is collected and recovered, and the dust particles of appropriate size are screened, and the ventilation duct component materials and adhesives are added to mix to obtain the repair material, and the repair material is evenly applied to the pipeline leakage point to reduce the impact of pipeline leakage on the dust accumulated in the ventilation duct.

[0073] The embodiment of the present application also discloses a dust concentration detection system for ventilation ducts of a clean laboratory.

[0074] Reference Figure 2 The dust concentration detection system for ventilation ducts in dust-free laboratories includes an area division module, a ventilation duct analysis module, an air quality analysis module, an environmental temperature and humidity analysis module, a dust concentration detection module, and a leakage inspection module.

[0075] The area division module is configured to detect the ventilation duct to obtain ventilation duct information, and divide the ventilation pipe into areas based on the ventilation duct information to obtain a duct area division result.

[0076] The ventilation duct analysis module is configured to analyze the influence of the ventilation duct material structure and leakage on the dust accumulation in the duct based on the ventilation duct information, and obtain the duct influence coefficient.

[0077] The air quality analysis module is configured to detect the air quality outside the ventilation duct of the dust-free laboratory to be tested to obtain an air quality detection result, and based on the air quality detection result, analyze the impact of the air quality outside the dust-free laboratory to be tested on the dust accumulation in the ventilation duct to obtain an external air impact coefficient.

[0078] The environmental temperature and humidity analysis module is configured to detect the temperature and humidity of the ventilation duct of the clean room to be tested to obtain the environmental temperature and humidity detection result, and analyze the influence of the environmental temperature and humidity of the clean room to be tested on the dust accumulation in the ventilation duct based on the environmental temperature and humidity detection result to obtain the temperature and humidity influence coefficient.

[0079] The dust concentration detection module is configured to obtain an environmental impact coefficient based on the comprehensive pipeline impact coefficient, external air impact coefficient, and temperature and humidity impact coefficient, analyze the detection frequency of ventilation duct dust detection based on the environmental impact coefficient, close the ventilation duct inlet and outlet, blow air into the closed ventilation duct, irradiate the ventilation duct with laser and take pictures to obtain image information, and analyze the dust in the ventilation duct based on the image information to obtain dust concentration information.

[0080] The leakage inspection module is configured to determine whether there is a pipeline leakage point in the ventilation duct based on the pipeline influence coefficient, collect the accumulated dust if there is a pipeline leakage point, and repair the pipeline leakage point based on the collected accumulated dust.

[0081] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for detecting dust concentration in ventilation ducts of a dust-free laboratory, characterized in that: The following steps are involved: Detecting the ventilation duct to obtain ventilation duct information, and dividing the ventilation pipe into regions based on the ventilation duct information to obtain a duct region division result; Based on the ventilation duct information, analyze the influence of ventilation duct material structure and leakage on dust accumulation in the duct, and obtain the duct influence coefficient; The air quality outside the ventilation duct of the dust-free laboratory to be tested is detected to obtain an air quality test result, and based on the air quality test result, the influence of the air quality outside the dust-free laboratory to be tested on the dust accumulation in the ventilation duct is analyzed to obtain the external air influence coefficient; The temperature and humidity of the ventilation duct of the clean room to be tested are detected to obtain the environmental temperature and humidity detection results, and based on the environmental temperature and humidity detection results, the influence of the environmental temperature and humidity of the clean room to be tested on the dust accumulation in the ventilation duct is analyzed to obtain the temperature and humidity influence coefficient; The environmental impact coefficient is obtained by combining the pipeline impact coefficient, the external air impact coefficient, and the temperature and humidity impact coefficient. The detection frequency of dust accumulation detection in the ventilation pipe is analyzed based on the environmental impact coefficient. The inlet and outlet of the ventilation pipe are closed, and the closed ventilation pipe is blown. The ventilation pipe is irradiated with a laser and photographed to obtain image information. Based on the photographed image information, the dust accumulation in the ventilation pipe is analyzed to obtain dust concentration information. Based on the pipeline influence coefficient, it is determined whether there is a pipeline leakage point in the ventilation pipe. If there is a pipeline leakage point, the accumulated dust is collected, and the pipeline leakage point is repaired based on the collected accumulated dust.

2. A method for detecting dust concentration in ventilation ducts of a clean laboratory according to claim 1, characterized in that: The steps of detecting the ventilation duct to obtain ventilation duct information, and dividing the ventilation duct into regions based on the ventilation duct information to obtain a duct region division result specifically include: Detecting the ventilation duct of the clean room to be tested to obtain ventilation duct information, wherein the ventilation duct information includes duct structure information and duct connection information; Analyzing the bending condition of the ventilation pipe based on the pipe structure information to obtain pipe bending information, marking the pipe bending information as a first area division feature, and performing a primary area division on the ventilation pipe of the clean room to be tested based on the first area division feature to obtain a primary division result; The pipeline connection information is marked as a second classification feature. Based on the second classification feature and the initial division result, the ventilation pipes of the dust-free laboratory to be tested are divided into regions again to obtain a pipeline region division result.

3. A dust concentration detection method for ventilation ducts in a clean laboratory according to claim 2, characterized in that: The steps of analyzing the influence of the ventilation duct material structure and leakage on the dust accumulation in the duct based on the ventilation duct information and obtaining the duct influence coefficient specifically include: Based on the ventilation duct information and the duct area division results, the influence of the duct structure and duct material of each area on the dust accumulation in the duct is analyzed to obtain the duct structure influence coefficient of each area; The leakage of ventilation ducts is detected to obtain duct leakage information. Based on the duct leakage information and the duct area division results, the influence of duct leakage of ventilation ducts in each area on dust accumulation in the ventilation ducts is analyzed to obtain the duct leakage influence coefficient. The pipeline influence coefficient is calculated by comprehensively considering the pipeline structure influence coefficient and the pipeline leakage influence coefficient to obtain the pipeline influence coefficient.

4. A dust-free laboratory ventilation duct dust concentration detection method according to claim 3, characterized in that: Based on the ventilation duct information and the duct area division results, the steps of analyzing the influence of the duct structure and duct material of each duct area on the dust accumulation in the duct to obtain the duct structure influence coefficient of each duct area specifically include: Based on the pipeline structure information and pipeline area division results, the influence of the pipeline structure of each area ventilation pipe on the dust accumulation in the ventilation pipe is analyzed to obtain the structural influence coefficient; The ventilation duct information also includes duct material information and duct inner wall roughness information. Based on the duct material information and duct inner wall roughness information, the flatness of the duct inner wall in each area of ​​the ventilation duct is analyzed to obtain the duct inner wall flatness information of each area. Based on the information of the flatness of the inner wall of the pipe and the results of the pipe area division, the influence of the pipe material of the ventilation pipe in each area and the roughness of the inner wall of the pipe on the dust accumulation in the ventilation pipe is analyzed to obtain the material influence coefficient; The comprehensive structural influence coefficient and material influence coefficient are calculated to obtain the pipeline structure influence coefficient of each area.

5. A method for detecting dust concentration in ventilation ducts of a clean laboratory according to claim 4, characterized in that: The steps of detecting the leakage of ventilation ducts to obtain duct leakage information, analyzing the influence of duct leakage of ventilation ducts in each area on dust accumulation in the ventilation ducts based on the duct leakage information and the duct area division result to obtain the duct leakage influence coefficient include: Obtain a lighting assembly and attach the lighting assembly to the inner wall of the ventilation duct, wherein the lighting assembly is composed of a transparent soft board and lamp beads, and the lamp beads are evenly arranged on the transparent soft board; Obtain a three-dimensional rectangular coordinate system, detect the position of the ventilation pipe, and display the position of the ventilation pipe and the pipe area division result on the three-dimensional rectangular coordinate system; The illumination component illuminates the interior of the ventilation duct, detects the light intensity of the outer wall of the ventilation duct in a dark and closed environment to obtain a plurality of light intensity data, selects a point in the plurality of light intensity data that is much greater than other light intensity data and records it as a light point, and the light point is preliminarily determined to be a leakage prediction point; Obtain a pressure-sensitive sensor and establish a signal connection between the pressure-sensitive sensor and the ventilation duct, attach the pressure-sensitive sensor to the leakage prediction point on the outer wall of the ventilation duct, set a check valve at the connection between the ventilation duct and the clean room to be tested, and set a fan on the side of the check valve away from the clean room; Start the fan to blow air into the ventilation duct. At the same time, the pressure sensor detects the pressure value of the leakage prediction point in real time to obtain the pressure value of the prediction point. The pressure threshold is set based on the wind force when the fan is turned on. The pressure value of the prediction point is compared with the pressure threshold to obtain the pressure comparison result. Adjust the fan opening range, and at the same time detect whether the pressure value at the prediction point changes with the adjustment of the fan opening range; If the predicted point pressure value of the leakage prediction point in the pressure comparison result is greater than the preset pressure threshold, and the predicted point pressure value of the leakage prediction point changes with the adjustment of the fan opening amplitude, the leakage prediction point is judged to be a pipeline leakage point, and the pipeline leakage point is displayed in the three-dimensional rectangular coordinate system; When the fan opening amplitude is at a fixed value, the difference between the predicted point pressure value of the leakage prediction point in the pressure comparison result and the pressure threshold is calculated to obtain the pressure difference, and the leakage degree of the pipeline leakage point is analyzed based on the pressure difference; Based on the number of pipeline leakage points and the leakage degree of each pipeline leakage point, the influence of pipeline leakage of ventilation pipes in each area on dust accumulation in the ventilation pipes is analyzed to obtain the pipeline leakage influence coefficient.

6. A method for detecting dust concentration in ventilation ducts of a clean laboratory according to claim 5, characterized in that: The steps of detecting the air quality outside the ventilation duct of the dust-free laboratory to be tested to obtain an air quality test result, and analyzing the influence of the air quality outside the dust-free laboratory to be tested on the dust accumulation in the ventilation duct based on the air quality test result to obtain the external air influence coefficient specifically include: Detect the particle size of the air particles outside the ventilation duct of the clean room to be tested to obtain the particle size information; Detecting the pH of the air outside the ventilation duct of the dust-free laboratory to be tested to obtain air pH information, and combining the particle size information with the air pH information to form an air quality test result; Based on the particle size information of the air particles outside the ventilation duct, the effect of the particle size on the particle settling velocity is analyzed to obtain the particle size influence coefficient; Based on the air pH information outside the ventilation duct, the influence of pH on the particle settling velocity is analyzed to obtain the pH influence coefficient; The air quality sedimentation coefficient is calculated by combining the particle size influence coefficient and the pH influence coefficient; The external air influence coefficient is analyzed based on the air quality influence sedimentation coefficient, where the external air influence coefficient is positively correlated with the air quality influence sedimentation coefficient.

7. A method for detecting dust concentration in ventilation ducts of a clean laboratory according to claim 6, characterized in that: The steps of detecting the temperature and humidity of the ventilation duct of the clean room to be tested to obtain the environmental temperature and humidity detection result, and analyzing the influence of the environmental temperature and humidity of the clean room to be tested on the dust accumulation in the ventilation duct based on the environmental temperature and humidity detection result to obtain the temperature and humidity influence coefficient specifically include: Detecting the temperature around the ventilation duct of the clean room to be tested to obtain ambient temperature information, detecting the humidity around the ventilation duct of the clean room to be tested to obtain ambient humidity information, and combining the ambient temperature information and the ambient humidity information to form an ambient temperature and humidity detection result; Based on the ambient temperature information, the diffusion rate of particles in the air around the ventilation duct is analyzed, where the diffusion rate of particles is positively correlated with the ambient temperature; The temperature influence coefficient is obtained by analyzing the effect of temperature on the particle settling velocity based on the particle diffusion velocity; Based on the ambient humidity information, the dust adsorption capacity of particulate matter in the air around the ventilation duct is analyzed, where the dust adsorption capacity is positively correlated with the ambient humidity; The particle mass influence coefficient is analyzed based on the dust adsorption capacity of the particles in the air around the ventilation pipe, where the particle mass influence coefficient is positively correlated with the dust adsorption capacity. The humidity influence coefficient is obtained based on the particle mass influence coefficient to analyze the effect of humidity on the particle settling velocity, where the humidity influence coefficient is positively correlated with the particle mass influence coefficient. The temperature influence coefficient and humidity influence coefficient are calculated comprehensively to obtain the temperature and humidity influence coefficient.

8. A method for detecting dust concentration in ventilation ducts of a clean laboratory according to claim 7, characterized in that: The steps of obtaining an environmental influence coefficient by comprehensively considering the influence coefficient of the pipeline, the influence coefficient of the external air, and the influence coefficient of the temperature and humidity, analyzing the detection frequency of dust accumulation detection in the ventilation pipe based on the environmental influence coefficient, sealing the inlet and outlet of the ventilation pipe, blowing air into the closed ventilation pipe, irradiating the inside of the ventilation pipe with a laser and photographing it to obtain photographed image information, and analyzing the dust accumulation in the ventilation pipe based on the photographed image information to obtain dust accumulation concentration information, specifically include: The environmental impact coefficient is obtained by averaging the pipeline impact coefficient, the external air impact coefficient, and the temperature and humidity impact coefficient; The dust accumulation detection frequency in the ventilation duct of the clean room to be tested is analyzed based on the environmental impact coefficient, where the dust accumulation detection frequency is positively correlated with the environmental impact coefficient; A gate valve is installed at the connection between the ventilation pipe and the external environment, the gate valve and the check valve are closed, and the ventilation pipe in the closed state is blown by the fan; A shooting component is installed in each area of ​​the ventilation duct, and images of each area in the ventilation duct are shot based on the shooting component to obtain the shot image information of each area; Based on the captured image information of each area, the dust particle number information and dust particle size information of each area are analyzed, and the dust concentration of each area is calculated based on the dust particle number information and dust particle size information to obtain the dust concentration information.

9. A method for detecting dust concentration in ventilation ducts of a clean laboratory according to claim 8, characterized in that: Based on the pipeline influence coefficient, it is determined whether there is a pipeline leakage point in the ventilation pipe. If there is a pipeline leakage point, the accumulated dust is collected, and the pipeline leakage point is repaired based on the collected accumulated dust, which specifically includes: Based on the pipeline leakage influence coefficient, it is judged whether there is a pipeline leakage point in the ventilation pipe, that is, if the pipeline leakage influence coefficient is greater than the pipeline leakage influence coefficient, there is a pipeline leakage point in the ventilation pipe; If there is a pipeline leak, the dust in the ventilation duct will be adsorbed and collected based on electrostatic technology; The collected dust is screened, dust particles of suitable size are selected to obtain recycled dust, and ventilation pipe component materials and adhesives are added to the recycled dust to obtain repair materials; Find the location of the pipe leak, apply the repair material evenly on the inner wall of the ventilation pipe where the pipe leak is located and wait for it to dry.

10. A dust concentration detection system for ventilation ducts in dust-free laboratories, characterized in that: The dust concentration detection system for the ventilation duct of a clean laboratory is used to implement the dust concentration detection method for the ventilation duct of a clean laboratory described in any one of claims 1 to 9, comprising: A region division module is configured to detect the ventilation duct to obtain ventilation duct information, and divide the ventilation pipe into regions based on the ventilation duct information to obtain a pipe region division result; A ventilation duct analysis module is configured to analyze the influence of the ventilation duct material structure and leakage on the dust accumulation in the duct based on the ventilation duct information, and obtain a duct influence coefficient; The air quality analysis module is configured to detect the air quality outside the ventilation duct of the dust-free laboratory to be tested to obtain an air quality detection result, and analyze the influence of the air quality outside the dust-free laboratory to be tested on the dust accumulation in the ventilation duct based on the air quality detection result to obtain an external air influence coefficient; An environmental temperature and humidity analysis module is configured to detect the temperature and humidity of the ventilation duct of the clean room to be tested to obtain an environmental temperature and humidity detection result, and based on the environmental temperature and humidity detection result, analyze the influence of the environmental temperature and humidity of the clean room to be tested on the dust accumulation in the ventilation duct to obtain a temperature and humidity influence coefficient; The dust concentration detection module is configured to obtain an environmental influence coefficient by comprehensively considering the influence coefficient of the pipeline, the influence coefficient of the external air, and the influence coefficient of the temperature and humidity, analyze the detection frequency of the dust accumulation detection in the ventilation pipe based on the environmental influence coefficient, seal the inlet and outlet of the ventilation pipe, perform a blowing operation in the closed ventilation pipe, irradiate the inside of the ventilation pipe with a laser and take a picture to obtain the photographed image information, and analyze the dust accumulation in the ventilation pipe based on the photographed image information to obtain the dust concentration information; The leakage inspection module is configured to determine whether there is a pipeline leakage point in the ventilation duct based on the pipeline influence coefficient, collect the accumulated dust if there is a pipeline leakage point, and repair the pipeline leakage point based on the collected accumulated dust.

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