Air curtain dust prevention equipment rectification parameter determination method and air curtain dust prevention equipment

Abstract

This application relates to a method for determining rectification parameters of an air curtain dustproof device and the air curtain dustproof device itself. The method for determining the rectification parameters includes: acquiring multiple sets of rectification parameter combinations for the air curtain dustproof device; determining the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain under each set of rectification parameter combinations; the velocity non-uniformity coefficient characterizes the uniformity of the velocity distribution of the output air curtain in the spatial dimension; the flow instability coefficient characterizes the flow stability of the output air curtain in the time dimension; constructing a regression model based on the multiple sets of rectification parameter combinations and the corresponding velocity non-uniformity coefficient and flow instability coefficient; and determining the target rectification parameters of the air curtain dustproof device based on preset threshold values ​​for the velocity non-uniformity coefficient and flow instability coefficient, and the regression model. This avoids dust adhesion to the viewing window and improves the dustproof effect.

Description

Technical Field

[0001] This application relates to the field of monitoring, and in particular to a method for determining the rectification parameters of an air curtain dust suppression device and the air curtain dust suppression device itself. Background Technology

[0002] Outdoor surveillance cameras play a vital role in monitoring traffic violations, maintaining road safety, combating crime, and tracking missing persons. However, when surveillance cameras operate for extended periods in extreme outdoor environments (such as high dust levels, rain, fog, or large temperature fluctuations), contaminants can easily accumulate on the lens's viewing surface, leading to a decrease in image quality and consequently affecting the monitoring effectiveness.

[0003] Currently, to address the aforementioned issues, related technologies employ the method of constructing a gas barrier (air curtain) in the viewing window area to block external dust contamination. However, existing air curtain generation systems struggle to maintain a stable laminar flow isolation structure, resulting in localized turbulence in the output air curtain. This localized turbulence's entrainment effect actually exacerbates dust adhesion to the viewing window, leading to inadequate dust prevention.

[0004] There is currently no effective solution to the problem of poor dust prevention effect of air curtains in related technologies. Summary of the Invention

[0005] This embodiment provides a method for determining the rectification parameters of an air curtain dustproof device and an air curtain dustproof device to solve the problem of poor dustproof effect of air curtains in related technologies.

[0006] Firstly, this embodiment provides a method for determining the rectification parameters of an air curtain dustproof device used in a camera; the air outlet of the air curtain dustproof device is provided with a rectification structure, and the air drawn in by the air curtain dustproof device is rectified by the rectification structure to form an output air curtain in the viewing area of ​​the camera; the method includes:

[0007] Obtain multiple sets of rectification parameter combinations for the air curtain dustproof device; the rectification parameters are parameters that affect the air outlet characteristics of the air curtain dustproof device; the rectification parameter combinations are combinations of different types of rectification parameters;

[0008] Under each set of rectification parameter combinations, determine the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain; the velocity non-uniformity coefficient characterizes the degree of uniformity of the velocity distribution of the output air curtain in the spatial dimension; the flow instability coefficient characterizes the degree of flow stability of the output air curtain in the time dimension.

[0009] Based on the multiple sets of rectifier parameter combinations, and the corresponding velocity non-uniformity coefficient and flow instability coefficient, a regression model is constructed;

[0010] The target rectification parameters of the air curtain dustproof device are determined based on the preset threshold values ​​for velocity nonuniformity coefficient and flow instability coefficient, as well as the regression model.

[0011] In some embodiments, multiple sets of rectifier parameter combinations of the air curtain dustproof device are obtained, including:

[0012] Based on the response surface model constructed for the rectification parameters, several values ​​for each of the rectification parameters are determined;

[0013] The different types of rectification parameters are combined with different values ​​to obtain the multiple sets of rectification parameter combinations.

[0014] In some of these embodiments, determining the velocity nonuniformity coefficient and flow instability coefficient of the output air curtain for each set of said rectifier parameter combinations includes:

[0015] Under each set of rectification parameters, the velocity amplitude of each sampling point on the preset observation plane of the output air curtain is statistically analyzed in terms of spatial dimension to obtain the velocity non-uniformity coefficient of the output air curtain; the observation plane is a plane of preset size parallel to the view window of the camera;

[0016] Under each set of rectification parameters, the instantaneous velocity component of the target sampling point on the observation plane of the output air curtain, which is parallel to the camera's viewport and along the flow direction of the output air curtain, is statistically analyzed in the time dimension to obtain the flow instability coefficient.

[0017] In some embodiments, under each set of rectification parameter combinations, the velocity amplitudes at each sampling point on the preset observation plane of the output air curtain are statistically analyzed in spatial dimension to obtain the velocity non-uniformity coefficient of the output air curtain, including:

[0018] Under each set of rectification parameters, determine the velocity amplitude of each sampling point of the output air curtain on the preset observation plane;

[0019] Determine the overall mean of the velocity amplitude at all the sampling points;

[0020] The velocity non-uniformity coefficient is obtained by statistically analyzing the dispersion of the velocity amplitude at each sampling point relative to the overall mean.

[0021] In some embodiments, under each set of rectification parameter combinations, the instantaneous velocity components of the target sampling point on the observation plane of the output air curtain, parallel to the camera's viewport and along the flow direction of the output air curtain, are statistically analyzed in the time dimension to obtain the flow instability coefficient, including:

[0022] Under each set of rectification parameter combinations, the instantaneous velocity component of the target sampling point in the view window parallel to the camera and along the air curtain flow direction is determined, as well as the time-averaged velocity of each instantaneous velocity component within a preset time period.

[0023] The flow instability coefficient is obtained by statistically analyzing the fluctuations between the instantaneous velocity component and the time-averaged velocity.

[0024] In some embodiments, a regression model is constructed based on the multiple sets of rectifier parameter combinations and the corresponding velocity non-uniformity coefficient and flow instability coefficient, including:

[0025] The regression model is obtained by fitting the velocity non-uniformity coefficient and the flow instability coefficient corresponding to each set of rectification parameters as inputs.

[0026] In some embodiments, the target rectification parameters of the air curtain dust suppression device are determined based on preset velocity non-uniformity coefficient thresholds and flow instability coefficient thresholds, as well as the regression model, including:

[0027] The target rectification parameters of the rectification structure are determined based on the regression model, provided that the velocity non-uniformity coefficient output by the regression model is lower than the velocity non-uniformity coefficient threshold and the flow instability coefficient output by the regression model is lower than the flow instability coefficient threshold.

[0028] Secondly, this embodiment provides an air curtain dustproof device for a camera; the air outlet of the air curtain dustproof device is provided with a rectification structure, and the air drawn in by the air curtain dustproof device is rectified by the rectification structure to form an output air curtain in the viewing window area of ​​the camera; the rectification parameters of the air curtain dustproof device are generated based on the rectification parameter determination method described in the first aspect above.

[0029] In some embodiments, the air curtain dustproof device further includes a fan; the fan draws in air through the air inlet of the air curtain dustproof device and blows the air out of the air outlet; the rectification structure is a porous array; the rectification parameter combination includes: the initial flow velocity and turbulence intensity of the air blown out by the fan, the aperture of the rectification structure, and the length of the air flow path in the porous array.

[0030] Thirdly, this embodiment provides a monitoring system, including: a camera and the air curtain dustproof device described in the second aspect above; the air curtain dustproof device is used to form an output air curtain in the viewing area of ​​the camera.

[0031] Compared with related technologies, this embodiment provides a method for determining the rectification parameters of an air curtain dustproof device and the air curtain dustproof device itself. The method for determining the rectification parameters of the air curtain dustproof device involves obtaining multiple sets of rectification parameter combinations; the rectification parameters are parameters that affect the air outlet characteristics of the air curtain dustproof device; the rectification parameter combinations are combinations of different types of rectification parameters; determining the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain under each set of rectification parameter combinations; the velocity non-uniformity coefficient characterizes the consistency of the velocity distribution of the output air curtain in the spatial dimension; the flow instability coefficient characterizes the flow stability of the output air curtain in the time dimension; constructing a regression model based on the multiple sets of rectification parameter combinations and the corresponding velocity non-uniformity coefficient and flow instability coefficient; and determining the target rectification parameters of the air curtain dustproof device based on preset thresholds for the velocity non-uniformity coefficient and flow instability coefficient, and the regression model. It adds a rectifier structure to the air curtain dustproof equipment and establishes a quantitative analysis mechanism for the dynamic characteristics of the air curtain. Based on this quantitative analysis mechanism, it can match the rectifier parameters of the air curtain dustproof equipment, so that the air curtain after rectification by the rectifier structure is more uniform, stable and fits the window, thereby avoiding the adhesion of dust on the window and improving the dustproof effect.

[0032] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0033] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0034] Figure 1 This is a hardware structure block diagram of the terminal of the rectification parameter determination method for the air curtain dustproof device according to an embodiment of this application;

[0035] Figure 2 This is a flowchart of the method for determining the rectification parameters of the air curtain dustproof device according to an embodiment of this application;

[0036] Figure 3 This is a schematic diagram of a combination of an air curtain dustproof device and a camera according to an embodiment of this application;

[0037] Figure 4 This is a schematic diagram of the structural form of the air curtain dustproof device according to an embodiment of this application;

[0038] Figure 5 This is a schematic diagram illustrating the effect of the air outlet shape of an air curtain dustproof device on airflow.

[0039] Figure 6This is a schematic diagram illustrating the influence of the rectification structure on the shape of the air curtain in the embodiments of this application;

[0040] Figure 7 This is a schematic diagram of the shape of a rectification structure according to an embodiment of this application;

[0041] Figure 8 This is a schematic diagram of the internal structure of a rectification structure according to an embodiment of this application;

[0042] Figure 9 This is a flowchart of a method for determining the rectification parameters of an air curtain dustproof device according to some embodiments of this application. Detailed Implementation

[0043] To better understand the purpose, technical solution, and advantages of this application, the application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0044] Unless otherwise defined, the technical or scientific terms used in this application shall have the general meaning understood by one of ordinary skill in the art to which this application pertains. Words such as “a,” “an,” “an,” “the,” “the,” and “these” used in this application do not indicate quantitative limitation and may be singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or modules (units) is not limited to the listed steps or modules (units) but may include steps or modules (units) not listed, or may include other steps or modules (units) inherent to these processes, methods, products, or devices. Words such as “connected,” “linked,” and “coupled” used in this application are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. Normally, the character " / " indicates that the objects before and after it are in an "or" relationship. The terms "first," "second," "third," etc., used in this application are merely to distinguish similar objects and do not represent a specific order of objects.

[0045] The method embodiments provided in this example can be executed on a terminal, computer, or similar computing device. For example, it can run on a terminal. Figure 1 This is a hardware structure block diagram of the terminal of the rectification parameter determination method for the air curtain dustproof device in this embodiment. For example... Figure 1 As shown, a terminal may include one or more ( Figure 1Only one is shown in the diagram. A processor 102 and a memory 104 for storing data are also included. The processor 102 may be, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the terminal described above. For example, the terminal may also include components that are larger than... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown are illustrated.

[0046] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the rectification parameter determination method of the air curtain dustproof device in this embodiment. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0047] The transmission device 106 is used to receive or send data via a network. This network includes a wireless network provided by the terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0048] This embodiment provides a method for determining the rectification parameters of an air curtain dustproof device, which is used for a camera. The air outlet of the air curtain dustproof device is provided with a rectification structure. The air drawn in by the air curtain dustproof device is rectified by the rectification structure and forms an output air curtain in the viewing area of ​​the camera. Figure 2 This is a flowchart of the method for determining the rectification parameters of the air curtain dustproof device in this embodiment, as follows: Figure 2 As shown, the process includes the following steps:

[0049] Step S210: Obtain multiple sets of rectification parameter combinations for the air curtain dustproof device; rectification parameters are parameters that affect the air outlet characteristics of the air curtain dustproof device; rectification parameter combinations are combinations of different types of rectification parameters.

[0050] Here, we will first describe the air curtain dustproof device of this embodiment. Figure 3 This is a schematic diagram of a combination of an air curtain dustproof device and a camera in this embodiment. Figure 4 This is a schematic diagram of the structural form of the air curtain dustproof device in this embodiment. (Combined with...) Figure 3 and Figure 4 When the camera 301 is used outdoors, oil and dust from the air will continuously accumulate on the outer surface of the viewing window 3011, affecting the imaging effect of the camera 301. To address this, an air curtain dustproof device 302 is added above the camera 301 to prevent dust accumulation. Specifically, the air curtain dustproof device 302 may include an air outlet 3021, a rectifier structure 3022, an air inlet 3023, a fan 3024, and a fan cover 3025. In some embodiments, the air outlet 3021 may be configured as a 90-degree bend; in other embodiments, the air outlet 3021 may be vertical or at other angles. The specific shape of the air outlet can be determined according to the duct design of the actual application scenario.

[0051] Figure 3 and Figure 4 The dashed arrows in the diagram illustrate the airflow path within the air curtain dustproof device 302. Air is drawn in by the fan 3024 at the air inlet 3023, and as it flows through the air outlet 3021, its stability is affected by turbulence dissipation and fluid development. The unstable airflow enters the rectifying structure 3022, where it is rectified, reshaping the airflow organization and transforming it from an irregular turbulent state into a uniform laminar flow state. This laminar airflow is then output through the rectifying structure 3022, forming a wide-area coverage air curtain with a constant pressure gradient in the camera's viewing area. This creates a relatively stable air isolation layer between the outer surface of the camera 301's viewing window glass 3011 and external pollution sources. It is evident that the output air curtain formed by the air curtain dustproof device 302 achieves the isolation between the viewing window glass 3011 and the pollution source, which can prevent oil and dust in the outside air from accumulating on the viewing window glass 3011, thereby allowing the outer surface of the viewing window glass 3011 to be protected for a long time.

[0052] Based on this, when air flows in the form of airflow inside the air curtain dustproof device 302, the mainstream fluid of the airflow will change due to the influence of the shape of the internal pipes of the air curtain dustproof device 302. Figure 5 This is a schematic diagram illustrating the effect of the outlet shape of an air curtain dust suppression device on airflow. Figure 3 and Figure 4 On the basis of, such as Figure 5 As shown, when the airflow blown by the fan 3024 of the air curtain dustproof device 302 passes through the 90-degree bend-shaped air outlet 3021, the mainstream fluid in the airflow, due to inertia, will not be able to follow the curvature change of the pipe wall. This causes the outer layer fluid to impact the outer wall of the bend at a higher speed than the inner layer fluid, forming the first vortex zone, which is a separation vortex. At the same time, a second vortex zone is generated on the inner wall of the bend due to the detachment of the fluid boundary layer, which is a secondary vortex.

[0053] Thus, the superposition of the two symmetrical but oppositely oriented vortex regions will induce rotational motion of particles in the fluid, causing the fluid velocity in the central region of the bend to be higher than that in the boundary region (near the wall). This disrupts the original laminar or turbulent velocity distribution of the airflow, causing the airflow output from the outlet to form an angle with the window surface in the velocity direction. Without the rectification treatment of the rectification structure 3022, the output air curtain cannot completely adhere to the window glass 3011, forming a cavity area. Figure 5 (The area within the red box in the image) The negative pressure in the cavity area will accelerate the accumulation of dust particles in the air in the viewing window area, affecting the dustproof effect of the air curtain, and even causing a deterioration effect.

[0054] Figure 6 This is a schematic diagram illustrating the influence of the rectification structure on the air curtain morphology in this embodiment. Figure 3 and Figure 4 On the basis of, such as Figure 6 As shown, after the rectifier structure 3022 is installed at the air outlet 3021, the uneven airflow at the bend will change its velocity direction after being rectified by the rectifier structure, and the influence of the vortex area will be reduced. Finally, the air curtain output by the rectifier structure will adhere to the surface of the viewing window glass 3011, thereby suppressing the formation of the cavity area, preventing the accumulation of dust particles in the viewing window area, and improving the dustproof effect.

[0055] In this embodiment, after adding a rectification structure to the air outlet of the air curtain dustproof device, a method for determining various rectification parameters in the air curtain dustproof device is also set up to further improve the dustproof performance of the device. The air curtain dustproof device can have various types of rectification parameters, which are parameters affecting the air outlet characteristics of the device. Rectification parameters can include structural parameters related to the rectification structure, as well as flow characteristic parameters of the airflow generated after the air curtain dustproof device draws in air. Combining different types of rectification parameters yields rectification parameter combinations. For the same rectification parameter, combining it with other rectification parameters at different values ​​results in multiple sets of rectification parameter combinations.

[0056] Figure 7 This is a schematic diagram of the shape of a rectification structure according to this embodiment. Figure 7 As shown, the overall shape of the rectifying structure can be a rectangular flow channel structure with dimensions L1 (length), L2 (width), and H (height), which can be a porous medium. The length L1 can be matched to the geometric dimensions of the viewing window glass, while the width L2 can be constrained and matched according to the optical field of view of the camera. This ensures that the rectifying structure achieves maximum coverage width while guaranteeing omnidirectional coverage of the camera's optical field of view, ensuring unobstructed operation of the camera. The height H is the length of the airflow path within the rectifying structure. The rectifying structure can be a dense array of porous pipes. Based on this array, the fluid is divided into parallel fine streams, and the divided fluid is forced to flow along the axial direction of the pores, suppressing the radial component and thus converting turbulence into laminar flow.

[0057] Figure 8 This is a schematic diagram of the internal structure of a rectification structure according to this embodiment. Figure 8 As shown, the rectifying structure can be a regular hexagonal honeycomb porous array with a pore size of D. In some embodiments, the array structure can also be other forms of porous arrays, such as rectangular or circular porous arrays.

[0058] Therefore, in some embodiments, the rectification parameters may include the aperture within the rectification structure and the height of the rectification structure. Furthermore, the rectification parameters may also include the fan of the air curtain dustproof device, the initial velocity v of the airflow generated by the outlet area with area A1, and the turbulence intensity S.

[0059] The specific values ​​of each type of rectification parameter in the obtained combination of rectification parameters can be either one or more values, or a range of values, given in advance through experimental methods for each type of rectification parameter and suitable for the application, or values ​​selected manually based on the needs of the actual application scenario and the structural design of the air curtain dustproof equipment.

[0060] Step S220: Determine the velocity nonuniformity coefficient and flow instability coefficient of the output air curtain under each set of rectification parameters; the velocity nonuniformity coefficient characterizes the degree of uniformity of the velocity distribution of the output air curtain in the spatial dimension; the flow instability coefficient characterizes the degree of flow stability of the output air curtain in the time dimension.

[0061] In this step, to quantify the effect of the rectification structure on the flow characteristics of the air curtain, two evaluation indicators were constructed for the outlet air characteristics of the air curtain dust suppression equipment: the velocity non-uniformity coefficient (CV) of the output air curtain and the flow instability coefficient (CX). The velocity non-uniformity coefficient characterizes the uniformity of the velocity distribution of the output air curtain in the spatial dimension of the observation plane. That is, an observation plane for the output air curtain can be preset for the corresponding viewing window area, and the uniformity of the velocity of particles at different positions in the output air curtain on this observation plane can be detected. When the velocity non-uniformity coefficient approaches 0, it indicates that the smoothness and uniformity of the output air curtain after rectification by the rectification structure reaches an ideal state.

[0062] The flow instability coefficient reflects the temporal stability of the output air curtain flow. That is, it measures the fluctuation of instantaneous velocity at different points in time within a certain period of time, and measures the dynamic stability of the output air curtain in the time dimension. The smaller the flow instability coefficient, the more significant the suppression effect of the rectification structure on turbulent pulsation.

[0063] Therefore, based on the complementary evaluation indicators of spatial and temporal dimensions, the comprehensive performance of the output air curtain of the rectifier structure in terms of spatial uniformity and temporal stability can be quantified. These two evaluation indicators can provide reliable criteria for optimizing the rectification parameters of the air curtain dustproof equipment.

[0064] Based on this, the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain can be obtained under different combinations of rectification parameters. Specifically, simulation or field measurement methods can be used to determine the corresponding velocity non-uniformity coefficient and flow instability coefficient based on different combinations of rectification parameters. Specifically, the velocity values ​​of each particle in the output air curtain can be statistically analyzed in both spatial and temporal dimensions to obtain the corresponding velocity non-uniformity coefficient and flow instability coefficient. For example, the observation plane can be gridded to determine the velocity of each grid node; or, through field measurement, the velocity of each particle in the output air curtain can be measured using a hot-wire anemometer. The specific statistical method can be based on the needs of the actual application scenario, constructing corresponding mathematical statistical rules to obtain the final velocity non-uniformity coefficient and flow instability coefficient based on the aforementioned velocity information.

[0065] Step S230: Based on multiple sets of rectifier parameter combinations and the corresponding velocity non-uniformity coefficient and flow instability coefficient, construct a regression model.

[0066] After obtaining the velocity nonuniformity coefficient and flow instability coefficient corresponding to each combination of rectification parameters, a regression model describing the mathematical relationship between the rectification parameters and the velocity nonuniformity coefficient and flow instability coefficient can be constructed. This regression model can be determined either by fitting a function to multiple sets of data or by using machine learning.

[0067] Therefore, in this step, the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain are used as the core indicators for adjusting the rectification parameters of the air curtain dustproof equipment, and a quantitative relationship between the rectification parameters and the velocity non-uniformity coefficient and flow instability coefficient is established.

[0068] Step S240: Determine the target rectification parameters of the air curtain dustproof equipment based on the preset threshold values ​​for velocity non-uniformity coefficient and flow instability coefficient, as well as the regression model.

[0069] Based on preset thresholds for velocity nonuniformity coefficient and flow instability coefficient, corresponding constraints can be set to constrain the output of the regression model, thereby determining the input of the corresponding regression model. The determined input is then the target rectification parameters. That is, when both the velocity nonuniformity coefficient and flow instability coefficient output by the regression model meet the conditions set based on the above thresholds, it is confirmed that the rectification structure inside the air curtain dust suppression equipment handles the airflow to meet the rectification quality requirements. Therefore, the corresponding combination of rectification parameters is used as the target rectification parameters required for the air curtain dust suppression equipment.

[0070] In related technologies, a gas barrier (air curtain) is constructed in the viewing window area to block external dust pollution. However, existing air curtain generation systems struggle to maintain a stable laminar flow isolation structure, resulting in localized turbulence in the output air curtain. The entrainment effect of this localized turbulence actually exacerbates dust adhesion to the viewing window, leading to poor dust prevention.

[0071] To address the aforementioned issues, this embodiment establishes quantitative analysis indicators for the air curtain flow characteristics, including the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain, through steps S210 to S240. Based on these two quantitative analysis indicators, the optimal combination of rectification parameters for the air curtain dustproof device is matched to ensure that the rectification quality meets the requirements. This allows the output air curtain to operate effectively, preventing dust and dirt from accumulating on the camera's viewing window, improving the air curtain's isolation effect, and thus enhancing the dustproof effect.

[0072] Specifically, in some embodiments, after constructing the regression model, its performance can be validated from different dimensions. For example, the reliability of the regression model can be determined by performing an analysis of variance. This reliability index can include the coefficient of determination, the correction coefficient of determination, and the prediction coefficient of determination for both the velocity non-uniformity coefficient and the flow instability coefficient. Tools developed for experimental design and data analysis, such as Design Expert software, can be used to analyze the data consisting of different combinations of rectification parameters and their corresponding velocity non-uniformity coefficients and flow instability coefficients, thereby obtaining the reliability analysis of the regression model for both the velocity non-uniformity coefficient and the flow instability coefficient.

[0073] Therefore, through the above steps S210 to S240, multiple sets of rectification parameter combinations for the air curtain dustproof equipment are obtained; rectification parameters are parameters that affect the air outlet characteristics of the air curtain dustproof equipment; rectification parameter combinations are combinations of different types of rectification parameters; the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain are determined under each set of rectification parameter combinations; the velocity non-uniformity coefficient characterizes the degree of uniformity of velocity distribution of the output air curtain in the spatial dimension; the flow instability coefficient characterizes the degree of flow stability of the output air curtain in the time dimension; based on the multiple sets of rectification parameter combinations and the corresponding velocity non-uniformity coefficient and flow instability coefficient, a regression model is constructed; based on the preset velocity non-uniformity coefficient threshold and flow instability coefficient threshold, and the regression model, the target rectification parameters for the air curtain dustproof equipment are determined. It adds a rectifier structure to the air curtain dustproof equipment and establishes a quantitative analysis mechanism for the dynamic characteristics of the air curtain. Based on this quantitative analysis mechanism, it can match the rectifier parameters of the air curtain dustproof equipment, so that the air curtain after rectification by the rectifier structure is more uniform, stable and fits the window, thereby avoiding the adhesion of dust on the window and improving the dustproof effect.

[0074] In one embodiment, based on the above step S210, obtaining multiple sets of rectification parameter combinations for the air curtain dustproof device may specifically include:

[0075] Based on the response surface model constructed for the rectification parameters, several values ​​for each rectification parameter are determined; different types of rectification parameters are combined with different values ​​to obtain multiple sets of rectification parameter combinations.

[0076] This can be achieved by testing different values ​​for the rectification parameters to determine the optimal values ​​for each type of rectification parameter. For example, response surface methodology, such as the Box-Behnken experimental design, can be used to establish a multi-factor, multi-level response surface model. A structured sampling strategy can then be employed to generate a matrix of possible rectification parameter combinations. This allows us to first define the possible value forms for multiple rectification parameter combinations, and then, based on these value forms and the corresponding velocity nonuniformity coefficients and flow instability coefficients, construct a regression model.

[0077] In some embodiments, based on the diversity of practical application scenarios and the performance dispersion of the fan components in the air curtain dustproof equipment, the average wind speed v (i.e., the initial velocity mentioned above) and turbulence intensity S at the fan outlet section can be selected as some rectification parameters to characterize the influence of different operating conditions on the rectification characteristics. Furthermore, based on the need for multi-factor coupling analysis, the aperture D and the aforementioned height H of the rectification structure are also included as some rectification parameters. Ultimately, a set of rectification parameters can include the average wind speed v, turbulence intensity S, aperture D, and height H. Combining these different types of rectification parameters with different values ​​can form multiple sets of rectification parameter combinations. For example, a four-factor, three-level response surface model can be established using the Box-Behnken experimental design method, and a value matrix can be generated through a structured sampling strategy. The specific form of this value matrix is ​​shown in Table 1.

[0078] Table 1

[0079]

[0080] The experimental matrix provided in the table above systematically quantifies the impact of the interaction of various rectification parameters on rectification performance. "-1", "0", and "1" refer to the level of the influencing factor (rectification parameter) (e.g., "-1" represents the minimum value, "0" represents the intermediate value, and "1" represents the maximum value). Through testing using the above experimental design method, it can be determined that an optimal value exists for a certain rectification parameter within a certain range, thus allowing for optimization based on a response surface model.

[0081] This embodiment can provide better values ​​for various types of rectifier parameters, thereby enabling the construction of a more reliable regression model.

[0082] Furthermore, in one embodiment, based on the above step S220, determining the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain under each set of rectification parameter combinations may specifically include:

[0083] Under each set of rectification parameters, the velocity amplitude of each sampling point on the preset observation plane of the output air curtain is statistically analyzed in the spatial dimension to obtain the velocity non-uniformity coefficient of the output air curtain; the observation plane is a plane of preset size parallel to the camera's viewport; under each set of rectification parameters, the instantaneous velocity components of the target sampling point on the observation plane of the output air curtain, which are parallel to the camera's viewport and along the flow direction of the output air curtain, are statistically analyzed in the time dimension to obtain the flow instability coefficient.

[0084] The observation plane can be a virtual plane region where the airflow barrier formed by the air curtain is located. Specifically, under a certain combination of rectification parameters, the velocity amplitude of each sampling point of the output air curtain on the preset observation plane can be determined. By statistically analyzing the uniformity of the velocity distribution of each velocity amplitude in the spatial dimension, the aforementioned velocity non-uniformity coefficient can be obtained. For example, when the average wind speed v is 4.25 m / s, the turbulence intensity S is 5.0%, the aperture D is 2 mm, and the height H is 50 mm, the velocity amplitude of each sampling point of the output air curtain on the observation plane can be determined using simulation or actual measurement. Then, the spatial dimension of each velocity amplitude can be statistically analyzed to obtain the corresponding velocity non-uniformity coefficient under this combination of rectification parameters. By adopting the same approach and performing the above processing on different combinations of rectification parameters, the velocity non-uniformity coefficient corresponding to each combination of rectification parameters can be obtained.

[0085] Furthermore, under a certain combination of rectification parameters, the instantaneous velocity components of the output air curtain at different time points at a sampling point on a preset observation plane can be determined, parallel to the camera's viewport and along the flow direction of the output air curtain. The flow instability coefficient is obtained by statistically analyzing the fluctuations of each instantaneous velocity component over time. For example, with an average wind speed v of 4.25 m / s, turbulence intensity S of 5.0%, aperture D of 2 mm, and height H of 50 mm, the instantaneous velocity components of a sampling point on the output air curtain on the observation plane over a certain time period can be determined using simulation or actual measurement. Then, the flow instability coefficient corresponding to this combination of rectification parameters can be obtained by statistically analyzing each instantaneous velocity component over time. By applying the same approach to different combinations of rectification parameters, the flow instability coefficients corresponding to each combination of rectification parameters can be obtained.

[0086] In this embodiment, a quantitative analysis system for airflow dynamic characteristics is constructed, enabling correlation analysis of the fluid dynamic parameters of the output air curtain. Based on this, and using the aforementioned velocity non-uniformity coefficient and flow instability coefficient, a quantitative design standard is provided for the rectification parameters of the air curtain dust suppression equipment: a matching model is formed between rectification parameters such as fan outlet characteristics, rectification structure aperture, and rectification structure height, and the aforementioned two coefficients. By establishing a multi-dimensional evaluation system for air curtain performance using the aforementioned velocity non-uniformity coefficient and flow instability coefficient, the technical gaps in dust suppression equipment regarding dust suppression efficiency, structural parameters, and engineering verification in related technologies can be filled. This improves the stability of dust suppression efficiency, avoids reliance on trial and error for structural parameters, and solves the problems of lack of quantitative basis for engineering verification.

[0087] Specifically, in one embodiment, under each set of rectification parameters, the velocity amplitude of each sampling point on the preset observation plane of the output air curtain is statistically analyzed in terms of spatial dimension to obtain the velocity non-uniformity coefficient of the output air curtain, including:

[0088] Under each set of rectification parameters, the velocity amplitude of each sampling point of the output air curtain on the preset observation plane is determined; the overall mean of the velocity amplitude of all sampling points is determined; the dispersion of the velocity amplitude of each sampling point relative to the overall mean is statistically analyzed to obtain the velocity non-uniformity coefficient.

[0089] The velocity nonuniformity coefficient measures the uniformity of the velocity distribution of the output air curtain on the observation plane. Specifically, it represents the dispersion of the velocity amplitude of each particle in the output air curtain relative to the overall average velocity of the output air curtain. This velocity nonuniformity coefficient CV can be derived from the following formula:

[0090] ;

[0091] Where n is the total number of sampling points (particles); v i This represents the velocity amplitude at the i-th sampling point. The overall mean of the velocity amplitude can be obtained by averaging the velocity amplitudes at each sampling point. When CV approaches 0, it indicates that the uniformity of the air curtain flow field after rectification has reached an ideal state. The velocity amplitudes at each sampling point can be measured using simulation or experimental methods. Based on a given set of rectification parameters, the velocity amplitude at each sampling point on the observation plane can be simulated or measured. Experimental methods can be based on measurements using a hot-wire anemometer.

[0092] This embodiment achieves accurate calculation of the velocity non-uniformity coefficient, thereby providing a reliable spatial dimension indicator for quantifying the flow characteristics of the output air curtain.

[0093] Additionally, in one embodiment, under each set of rectification parameters, the instantaneous velocity components of the target sampling point on the observation plane of the output air curtain, parallel to the camera's viewport and along the flow direction of the output air curtain, are statistically analyzed in the time dimension to obtain the flow instability coefficient. Specifically, this may include:

[0094] Under each set of rectification parameters, the instantaneous velocity component of the target sampling point in the view window parallel to the camera and along the air curtain flow direction is determined, as well as the time-averaged velocity of each instantaneous velocity component within a preset time period; the fluctuation degree of the instantaneous velocity component and the time-averaged velocity is statistically analyzed to obtain the flow instability coefficient.

[0095] The flow instability coefficient reflects the time stability of the air curtain flow. Therefore, it can be obtained by examining the fluctuation relationship between the instantaneous velocity components of each particle parallel to the viewing window and along the main flow direction of the air curtain, and the time-averaged velocity in that direction. The flow instability coefficient CX can be obtained based on the following method:

[0096] ;

[0097] Where m is the number of times the instantaneous velocity component is sampled in the time series within a certain time period; v y The instantaneous velocity component (obtained through hot-wire anemometer measurement or simulation), v i Average velocity (m v) y (The average value). The smaller the CX value, the more significant the suppression effect of the rectifying structure on turbulent fluctuations.

[0098] In this embodiment, an accurate quantitative assessment of the flow stability of the air curtain over time is achieved, thereby providing a quantitative indicator over time for the rectification quality of the output air curtain.

[0099] Furthermore, in one embodiment, a regression model is constructed based on multiple combinations of rectification parameters and corresponding velocity nonuniformity coefficients and flow instability coefficients, which may specifically include:

[0100] By taking each combination of rectification parameters as input and the corresponding velocity nonuniformity coefficient and flow instability coefficient as output, a regression model is obtained through fitting.

[0101] In this model, each set of rectified parameter combinations is used as input, and the corresponding velocity nonuniformity coefficient and flow instability coefficient are used as output. A multiple regression equation is obtained through fitting, relating the rectified parameter combinations to the velocity nonuniformity coefficient and flow instability coefficient, serving as the regression model. Specifically, using a limited sample of rectified parameters, computational fluid dynamics (CFD) simulations combined with spatial interpolation and function fitting are used to predict the velocity nonuniformity coefficient and flow instability coefficient corresponding to a subset of rectified parameter samples, thus obtaining the aforementioned regression model.

[0102] The table below shows the correspondence between some rectified parameter combinations and the velocity nonuniformity coefficient and flow instability coefficient obtained experimentally in one embodiment:

[0103] Table 2

[0104]

[0105] Based on this, the regression model described above can be obtained in the following form:

[0106] ;

[0107] ;

[0108] Among them, a1 to a9 are positive numbers determined by fitting based on Table 2.

[0109] In some embodiments, the reliability of the regression model can be determined by performing an analysis of variance. The following table shows the results of the reliability analysis of the regression model (obtained by inputting the data from Table 2 into Design Expert software):

[0110] Table 3

[0111]

[0112] Therefore, the regression model has a coefficient of determination of 0.9472 for velocity nonuniformity and 0.9569 for flow instability, both close to 1, indicating that the model can explain more than 94% of the dependent variable variation and has a relatively good fit. Furthermore, the corrected coefficient of determination for velocity nonuniformity is 0.9133, and the difference between this and the predicted coefficient of determination (0.8070) indicates that the out-of-sample prediction accuracy is lower than the in-sample explanatory power, but it still maintains high reliability. The corrected coefficient of determination for flow instability (0.9021) is quite close to the corresponding predicted coefficient of determination (0.8249), indicating that the regression model has a stronger generalization ability when dealing with new data.

[0113] Furthermore, analysis of variance (ANOVA) on the regression model revealed a statistical significance index (P < 0.0001), indicating high significance and a strong correlation between the velocity nonuniformity coefficient, the flow instability coefficient, and the independent variables. Additionally, the ANOVA showed that the regression sum of squares was higher than the residual sum of squares, verifying that the systematic explanatory power of the independent variables on the dependent variable outweighed the influence of random errors. A comprehensive evaluation of the regression model's coefficient of variation and precision indicators confirms that the model demonstrates good stability and accuracy in the analysis and prediction of velocity nonuniformity and flow instability coefficients, meeting the statistical requirements of practical applications.

[0114] Additionally, in one embodiment, determining the target rectification parameters of the air curtain dust suppression device based on preset velocity non-uniformity coefficient thresholds and flow instability coefficient thresholds, as well as a regression model, may include:

[0115] The target rectification parameters of the rectification structure are determined based on the regression model, with the output conditions being that the velocity non-uniformity coefficient output by the regression model is lower than the velocity non-uniformity coefficient threshold and the flow instability coefficient output by the regression model is lower than the flow instability coefficient threshold.

[0116] The threshold values ​​for velocity nonuniformity and flow instability can be set based on the specific requirements of the application scenario for rectification quality. Next, the basic geometric parameters of the rectification structure, such as the length and width mentioned above, are determined based on the camera's dimensions. Then, the fan's outlet velocity v, turbulence intensity S, the aperture D within the rectification structure, and its height H are input into a regression model for calculation. This yields the rectification parameters corresponding to when the velocity nonuniformity coefficient is below the threshold value (e.g., 5%) and the flow instability coefficient is below the threshold value (e.g., 5%). At this point, the flow field quality of the air curtain output by the air curtain dustproof equipment is considered to meet the design standards, possessing effective spatial isolation performance.

[0117] Figure 9 This is a flowchart of a method for determining rectification parameters of an air curtain dustproof device according to some embodiments, such as... Figure 9 As shown, the method for determining the rectification parameters of this air curtain dust suppression device includes the following steps:

[0118] Step S901: Based on the response surface model constructed for the rectification parameters, determine several values ​​for each rectification parameter;

[0119] Step S902: Combine different types of rectification parameters with different values ​​to obtain multiple sets of rectification parameter combinations; the rectification parameter combinations include: the initial flow velocity and turbulence intensity of the air blown out by the fan, the aperture of the rectification structure, and the length of the air flow path in the porous array;

[0120] Step S903: Under each set of rectification parameters, the velocity amplitude of each sampling point on the preset observation plane of the output air curtain is statistically analyzed in terms of spatial dimension to obtain the velocity non-uniformity coefficient of the output air curtain; the observation plane is a plane of preset size parallel to the camera's view window.

[0121] Step S904: Under each set of rectification parameters, perform time dimension statistics on the instantaneous velocity components of the target sampling point on the observation plane of the output air curtain, which are parallel to the camera's viewing window and along the flow direction of the output air curtain, to obtain the flow instability coefficient.

[0122] Step S905: Using each set of rectifier parameter combinations as input and the velocity non-uniformity coefficient and flow instability coefficient corresponding to the rectifier parameter combinations as output, a regression model is fitted.

[0123] Step S906: Based on the regression model, the target rectification parameters of the rectification structure are determined, with the output conditions being that the velocity non-uniformity coefficient output by the regression model is lower than the velocity non-uniformity coefficient threshold and the flow instability coefficient output by the regression model is lower than the flow instability coefficient threshold.

[0124] Steps S901 to S906 above utilize the turbulent dissipation effect of the rectifying structure to effectively attenuate the turbulent vortices in the airflow before entering the rectifying structure. After the velocity distribution is reconstructed by the three-dimensional flow field, a stable and uniform air curtain is formed at the outlet section, increasing the average velocity and achieving the required technical indicators for velocity distribution uniformity and stability. This embodiment constructs a quantitative analysis system for the flow characteristics of the air curtain, using the velocity non-uniformity coefficient CV and the flow instability coefficient CX to ensure the dustproof effect of the air curtain. Optimal parameter determination methods for various rectifying parameters of the air curtain dustproof equipment are established.

[0125] It should be noted that the steps shown in the above flowchart or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here. For example, steps S903 and S904.

[0126] This embodiment also provides an air curtain dustproof device for a camera. Figure 4As shown, the air outlet 3021 of the air curtain dustproof device 302 is provided with a rectifier structure 3022. The air drawn in by the air curtain dustproof device 302 is rectified by the rectifier structure 3022 and forms an output air curtain in the viewing area of ​​the camera 301. The rectification parameters of the air curtain dustproof device 302 are generated based on the rectification parameter determination method provided in any of the above embodiments.

[0127] In one embodiment, such as Figure 4 As shown, the above-mentioned air curtain dustproof device 302 also includes a fan 3024; the fan 3024 draws in air through the air inlet 3023 of the air curtain dustproof device 302 and blows the air out of the air outlet 3021; ​​the rectification structure 3022 is a multi-hole array; the rectification parameter combination includes: the initial flow velocity and turbulence intensity of the air blown out by the fan 3024, the aperture of the rectification structure 3022, and the length of the air flow path in the multi-hole array.

[0128] This embodiment also provides a monitoring system. (See reference...) Figure 3 and Figure 4 The monitoring system may include a camera 301 and an air curtain dustproof device 302; the air curtain dustproof device 302 is used to form an output air curtain in the viewing area of ​​the camera 301.

[0129] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated in this embodiment.

[0130] It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. All other embodiments derived by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0131] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0132] Obviously, the accompanying drawings are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar situations based on these drawings without any creative effort. Furthermore, it is understood that although the work done in this development process may be complex and lengthy, for those skilled in the art, certain design, manufacturing, or production modifications made based on the technical content disclosed in this application are merely conventional technical means and should not be considered as insufficient disclosure of this application.

[0133] The term "embodiment" in this application refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily imply the same embodiment, nor does it imply that it is mutually exclusive with or independent of other embodiments. It will be clearly or implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0134] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of patent protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims

1. A method for determining the rectification parameters of an air curtain dust suppression device, characterized in that, The air curtain dustproof device is used for a camera; the air outlet of the air curtain dustproof device is provided with a rectifier structure, and the air drawn in by the air curtain dustproof device is rectified by the rectifier structure to form an output air curtain in the viewing area of ​​the camera; the method includes: Obtain multiple sets of rectification parameter combinations for the air curtain dustproof device; the rectification parameters are parameters that affect the air outlet characteristics of the air curtain dustproof device; the rectification parameter combinations are combinations of different types of rectification parameters; Under each set of rectification parameter combinations, determine the velocity non-uniformity coefficient and flow instability coefficient of the output air curtain; the velocity non-uniformity coefficient characterizes the degree of uniformity of the velocity distribution of the output air curtain in the spatial dimension; the flow instability coefficient characterizes the degree of flow stability of the output air curtain in the time dimension. Based on the multiple sets of rectifier parameter combinations, and the corresponding velocity non-uniformity coefficient and flow instability coefficient, a regression model is constructed; The target rectification parameters of the air curtain dustproof device are determined based on the preset threshold values ​​for velocity nonuniformity coefficient and flow instability coefficient, as well as the regression model.

2. The method for determining the rectification parameters of the air curtain dustproof device according to claim 1, characterized in that, Obtaining multiple sets of rectified parameter combinations for the air curtain dustproof device, including: Based on the response surface model constructed for the rectification parameters, several values ​​for each of the rectification parameters are determined; The different types of rectification parameters are combined with different values ​​to obtain the multiple sets of rectification parameter combinations.

3. The method for determining the rectification parameters of the air curtain dustproof device according to claim 1, characterized in that, Determine the velocity nonuniformity coefficient and flow instability coefficient of the output air curtain under each set of rectification parameter combinations, including: Under each set of rectification parameters, the velocity amplitude of each sampling point on the preset observation plane of the output air curtain is statistically analyzed in terms of spatial dimension to obtain the velocity non-uniformity coefficient of the output air curtain; the observation plane is a plane of preset size parallel to the view window of the camera; Under each set of rectification parameters, the instantaneous velocity component of the target sampling point on the observation plane of the output air curtain, which is parallel to the camera's viewport and along the flow direction of the output air curtain, is statistically analyzed in the time dimension to obtain the flow instability coefficient.

4. The method for determining the rectification parameters of the air curtain dustproof device according to claim 3, characterized in that, Under each set of rectification parameter combinations, the velocity amplitude at each sampling point on the preset observation plane of the output air curtain is statistically analyzed in spatial dimension to obtain the velocity non-uniformity coefficient of the output air curtain, including: Under each set of rectification parameters, determine the velocity amplitude of each sampling point of the output air curtain on the preset observation plane; Determine the overall mean of the velocity amplitude at all the sampling points; The velocity non-uniformity coefficient is obtained by statistically analyzing the dispersion of the velocity amplitude at each sampling point relative to the overall mean.

5. The method for determining the rectification parameters of the air curtain dustproof device according to claim 3, characterized in that, Under each set of rectification parameter combinations, the instantaneous velocity components of the target sampling point on the observation plane of the output air curtain, parallel to the camera's viewport and along the flow direction of the output air curtain, are statistically analyzed in the time dimension to obtain the flow instability coefficient, including: Under each set of rectification parameter combinations, the instantaneous velocity component of the target sampling point in the view window parallel to the camera and along the air curtain flow direction is determined, as well as the time-averaged velocity of each instantaneous velocity component within a preset time period. The flow instability coefficient is obtained by statistically analyzing the fluctuations between the instantaneous velocity component and the time-averaged velocity.

6. The method for determining the rectification parameters of the air curtain dustproof device according to claim 1, characterized in that, Based on the multiple sets of rectification parameter combinations, and the corresponding velocity non-uniformity coefficient and flow instability coefficient, a regression model is constructed, including: The regression model is obtained by fitting the velocity non-uniformity coefficient and the flow instability coefficient corresponding to each set of rectification parameters as inputs.

7. The method for determining the rectification parameters of the air curtain dustproof device according to claim 1, characterized in that, Based on preset threshold values ​​for velocity nonuniformity coefficient and flow instability coefficient, and the regression model, the target rectification parameters of the air curtain dust suppression device are determined, including: The target rectification parameters of the rectification structure are determined based on the regression model, provided that the velocity non-uniformity coefficient output by the regression model is lower than the velocity non-uniformity coefficient threshold and the flow instability coefficient output by the regression model is lower than the flow instability coefficient threshold.

8. An air curtain dust suppression device, characterized in that, Used for a camera; the air outlet of the air curtain dustproof device is provided with a rectification structure, and the air drawn in by the air curtain dustproof device is rectified by the rectification structure to form an output air curtain in the viewing window area of ​​the camera; the rectification parameters of the air curtain dustproof device are generated based on the rectification parameter determination method of any one of claims 1 to 7.

9. The air curtain dustproof device according to claim 8, characterized in that, The air curtain dustproof device also includes a fan; the fan draws in air through the air inlet of the air curtain dustproof device and blows the air out of the air outlet; the rectifier structure is a multi-hole array; The rectification parameter combination includes: the initial flow velocity and turbulence intensity of the air blown out by the fan, the aperture of the rectification structure, and the length of the air flow path in the porous array.

10. A monitoring system, characterized in that, include: The camera and the air curtain dustproof device as described in claim 8; The air curtain dustproof device is used to form an output air curtain in the viewing area of ​​the camera.

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