A 3D holographic projection system based on array spray water curtain

Abstract

The present invention discloses a 3D holographic projection system based on an array-type spray water curtain, which relates to the technical field of 3D holographic projection. The present invention adopts a data-driven approach to systematically analyze the quality of the initial 3D holographic projection, and judges whether it is necessary to adjust the preset spray force and angle of the spray array. Compared with the previous technology that usually relies on manual experience to observe the changes in image quality to determine whether adjustment is needed, the present invention introduces a dynamic quality threshold mechanism based on the historical score average, and combines multi-dimensional image quality indicators such as image clarity, brightness distribution uniformity, edge distortion degree and color reproduction accuracy for comprehensive evaluation. This approach can achieve more objective, accurate and adaptive adjustment decisions, significantly improving the scientificity and reliability of the judgment process.

Description

Technical Field

[0001] The present invention relates to the technical field of 3D holographic projection, and in particular to a 3D holographic projection system based on an array-type spray water curtain. Background Art

[0002] With the continuous development of virtual reality and augmented reality technologies, 3D holographic projection, a cutting-edge display technology that enables a stereoscopic visual experience without the need for auxiliary equipment, is gaining increasing attention. Holographic projection based on spray water curtains, with its advantages such as dynamic generation and controllable transparency, has broad application prospects in stage presentations, advertising, scientific research demonstrations, and other fields.

[0003] In existing technologies, improving the clarity and stability of projected images often requires adjusting the shape of the water curtain that carries the image information. However, traditional methods often rely on manual experience to determine whether adjustments to the spray array's spray force and angle are necessary. For example, operators visually observe changes in the quality of the projected image and then, based on subjective experience, determine whether parameter adjustments are necessary. This approach not only lacks uniformity in judgment criteria but also lacks objectivity and repeatability, making it difficult to meet the requirements of high-precision and high-stability applications.

[0004] Furthermore, existing technologies often use a trial-and-error approach to gradually adjust spray parameters during the actual adjustment process. This involves first adjusting the parameters slightly and observing the projection effect. If the desired effect is not achieved, further adjustments are made until a satisfactory imaging result is achieved. This "trial-and-error" adjustment method is not only time-consuming and inefficient, but can also lead to cumulative errors from repeated adjustments, affecting the consistency and stability of the final projection quality.

[0005] Therefore, the prior art urgently needs a technical solution for a 3D holographic projection system based on an array-type spray water curtain. Summary of the Invention

[0006] In order to solve the above technical problems, the present invention provides a 3D holographic projection system based on an array spray water curtain, which specifically includes the following modules:

[0007] Initial water curtain generation module: used to arrange the spray array, preset the spray angle and intensity of the spray array, start the spray array according to the preset spray intensity and angle, and generate the initial water curtain;

[0008] Initial 3D holographic projection generation module: connected to the initial water curtain generation module, used to arrange projection devices on both sides of the initial water curtain, use the projection devices to project a three-dimensional image onto the surface of the initial water curtain, and generate an initial 3D holographic projection;

[0009] Final 3D holographic projection generation module: connected to the initial 3D holographic projection generation module, used to analyze the quality of the initial 3D holographic projection and adjust the spray force and angle preset by the spray array based on the analysis results to obtain the final 3D holographic projection;

[0010] A first image acquisition unit is configured to acquire an image of an initial 3D holographic projection projected onto the surface of the initial water curtain through an image acquisition device;

[0011] An image scoring acquisition unit is configured to perform image quality evaluation on the initial 3D holographic projection image to obtain an image score of the initial 3D holographic projection;

[0012] Clarity index calculation interface: used to calculate the image clarity index corresponding to the initial 3D holographic projection image;

[0013] Brightness distribution uniformity index calculation interface: used to calculate the brightness distribution uniformity index corresponding to the initial 3D holographic projection image;

[0014] Edge distortion index calculation interface: used to calculate the edge distortion index corresponding to the initial 3D holographic projection image;

[0015] Color restoration accuracy index calculation interface: used to calculate the color restoration accuracy index corresponding to the initial 3D holographic projection image;

[0016] Image score calculation interface: used to comprehensively calculate the image clarity index, brightness distribution uniformity index, edge distortion index and color reproduction accuracy index corresponding to the initial 3D holographic projection image to obtain the image score of the initial 3D holographic projection;

[0017] An adjustment and judgment unit is used to obtain image scores of historical 3D holographic projections and take the average to obtain a quality threshold; the image score of the current initial 3D holographic projection is compared with the quality threshold; if the image score of the current initial 3D holographic projection is less than or equal to the quality threshold, it is determined that the quality of the current initial 3D holographic projection does not meet the quality standards and the preset spray force and angle of the spray array need to be adjusted; if the image score of the current initial 3D holographic projection is greater than the quality threshold, there is no need to adjust the preset spray force and angle of the spray array;

[0018] Compensation value calculation interface: used to calculate the compensation value of the spray force and angle preset by the spray array;

[0019] Second image acquisition sub-interface: used to acquire real-time image data of the initial water curtain using an image acquisition device;

[0020] Grayscale image generation sub-interface: used to perform grayscale conversion on real-time image data to generate grayscale images;

[0021] Water droplet sparse area identification sub-interface: used to identify water droplet sparse areas and water droplet dense areas based on the gray value distribution of pixels in the grayscale image;

[0022] Ratio calculation sub-interface: used to calculate the ratio of the sparse water droplet area to the entire initial water curtain area;

[0023] The first compensation coefficient calculation sub-interface is used to obtain the adjustment sensitivity of the spray force preset by the spray array, and multiply it by the ratio of the sparse water droplet area to the entire initial water curtain area to obtain the compensation coefficient of the spray force preset by the spray array;

[0024] The first compensation value calculation sub-interface is used to convert the compensation coefficient of the spray force preset by the spray array into an increase in the spray pressure to obtain the compensation value of the spray force preset by the spray array;

[0025] Preprocessing sub-interface: used to preprocess the real-time image data of the initial water curtain;

[0026] Boundary contour acquisition sub-interface: used to process the real-time image data of the pre-processed initial water curtain using an edge detection algorithm to obtain the boundary contour of the initial water curtain;

[0027] Actual and standard width acquisition sub-interface: used to determine the actual width of the initial water curtain based on the boundary outline of the initial water curtain, and obtain the preset standard width of the initial water curtain;

[0028] Offset calculation sub-interface: used to calculate the difference between the actual width of the initial water curtain and the preset standard width of the initial water curtain, and obtain the horizontal offset of the initial water curtain;

[0029] The second compensation coefficient calculation sub-interface is used to calculate the compensation coefficient of the spray array preset spray angle according to the ratio of the initial water curtain horizontal offset and the initial water curtain preset standard width;

[0030] The second compensation value calculation sub-interface is used to convert the compensation coefficient of the spray angle preset by the spray array into the adjustment increment of the spray angle to obtain the compensation value of the spray angle preset by the spray array;

[0031] Spray force and angle update interface: used to superimpose the spray force and angle compensation values ​​with the spray force and angle preset by the spray array, respectively, to obtain the spray force and angle of the adjusted spray array;

[0032] Final water curtain generation unit: used to start the spray array according to the adjusted spray force and angle of the spray array to generate the final water curtain, and use the projection device to project the three-dimensional image onto the surface of the final water curtain to generate the final 3D holographic projection.

[0033] The embodiments of the present invention have the following technical effects:

[0034] The present invention uses a data-driven approach to systematically analyze the quality of the initial 3D holographic projection, and based on this, determines whether it is necessary to adjust the preset spray force and angle of the spray array. Compared with the previous technology that usually relies on manual experience to observe changes in image quality to determine whether adjustment is needed, the present invention introduces a dynamic quality threshold mechanism based on the mean of historical scores, and combines multi-dimensional image quality indicators such as image clarity, brightness distribution uniformity, edge distortion and color reproduction accuracy for comprehensive evaluation. This approach can achieve more objective, accurate and adaptive adjustment decisions, significantly improving the scientificity and reliability of the judgment process.

[0035] Building on this foundation, and to overcome the response lag and inefficiency inherent in traditional methods due to repeated trials and adjustments, this invention further introduces a "compensation value calculation mechanism." By calculating and applying compensation values ​​for spray force and angle in a single pass, this mechanism achieves precise, one-step adjustment of spray parameters. This mechanism not only effectively improves the system's response speed and automation level, but also significantly reduces the need for human intervention, enhancing adjustment accuracy and system stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0037] Figure 1 This is a framework diagram of a 3D holographic projection system based on an array-type spray water curtain provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0038] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention are described clearly and completely below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are also within the scope of protection of the present invention.

[0039] Example 1: Figure 1 As shown, the present invention provides a 3D holographic projection system based on an array spray water curtain, comprising the following modules:

[0040] Initial water curtain generation module: used to arrange the spray array, preset the spray angle and intensity of the spray array, start the spray array according to the preset spray intensity and angle, and generate the initial water curtain;

[0041] It is worth noting that the initial water curtain refers to the collection of water droplets with a certain shape and density distribution formed in the air after the spray array is started according to the preset spray angle and strength. The quality of this initial water curtain, as the basic carrier of 3D holographic projection, will directly affect the final imaging effect.

[0042] Initial 3D holographic projection generation module: connected to the initial water curtain generation module, used to arrange projection devices on both sides of the initial water curtain, use the projection devices to project a three-dimensional image onto the surface of the initial water curtain, and generate an initial 3D holographic projection;

[0043] It is worth noting that the main process of projecting a three-dimensional image onto the surface of the initial water curtain to generate an initial 3D holographic projection includes: first preparing the three-dimensional image data to be projected, which usually contains image information under multiple perspectives so that a stereoscopic effect can be presented at different observation angles; then mapping the three-dimensional image data onto a two-dimensional plane, and adjusting the proportions according to the actual size of the initial water curtain to ensure that the image can completely cover the entire initial water curtain area; the projection device used is usually a laser projector, because it can accurately control the direction and intensity of the light beam, so that the initial 3D holographic projection projected onto the initial water curtain can present a good multi-perspective stereoscopic visual effect; in addition, it is worth further explaining that in the above process, it is necessary to ensure the synchronous operation between the projection device and the spray array to avoid image distortion of the initial 3D holographic projection due to changes in the water curtain shape.

[0044] Final 3D holographic projection generation module: connected to the initial 3D holographic projection generation module, used to analyze the quality of the initial 3D holographic projection and adjust the spray force and angle preset by the spray array based on the analysis results to obtain the final 3D holographic projection;

[0045] A first image acquisition unit is configured to acquire an image of an initial 3D holographic projection projected onto the surface of the initial water curtain through an image acquisition device;

[0046] An image scoring acquisition unit is configured to perform image quality evaluation on the initial 3D holographic projection image to obtain an image score of the initial 3D holographic projection;

[0047] Clarity index calculation interface: used to calculate the image clarity index corresponding to the initial 3D holographic projection image;

[0048] It is worth noting that when calculating the clarity index, the image data of the initial 3D holographic projection is first obtained, the image is grayscaled to remove color information interference, and then the Laplace operator is applied to the image for convolution operation to extract high-frequency edge information in the image. The sum of the squares of the Laplace response values ​​of all pixels in the image is calculated, and finally the sum of the squares is normalized to unit area to obtain the image clarity index. The image clarity index is mainly used to measure the ability to present details in 3D holographic projection images, reflecting whether the initial water curtain surface imaging is sharp and whether the boundaries are clear.

[0049] Brightness distribution uniformity index calculation interface: used to calculate the brightness distribution uniformity index corresponding to the initial 3D holographic projection image;

[0050] It is worth noting that when calculating the brightness distribution uniformity index, the initial 3D holographic projection image data should also be obtained first, the image should be converted to grayscale, and the grayscale values ​​of all pixels in the image should be counted. Then, the mean and standard deviation of the grayscale values ​​are calculated, and the ratio of the mean to the standard deviation is used as a quantitative indicator of the stability of the image brightness distribution. Finally, the ratio is normalized to obtain the brightness distribution uniformity index; the brightness distribution uniformity index is mainly used to measure whether the overall brightness of the image is balanced to avoid the phenomenon of local overbrightness or overdarkness.

[0051] Edge distortion index calculation interface: used to calculate the edge distortion index corresponding to the initial 3D holographic projection image;

[0052] It is worth noting that when calculating the edge distortion index, after obtaining the image data of the initial 3D holographic projection, the Canny edge detection algorithm is used to extract the edge contour in the image, and then the Hough transform is applied to detect the number of straight line segments in the image, and then compared with the number of straight line segments that should be in the reference image under ideal conditions. Finally, the edge integrity is calculated through the proportional relationship to obtain the edge distortion index; the edge distortion index is mainly used to measure whether there are distortion phenomena such as blurring, distortion or breakage on the edge of the image, reflecting whether the initial water curtain shape is regular.

[0053] Color restoration accuracy index calculation interface: used to calculate the color restoration accuracy index corresponding to the initial 3D holographic projection image;

[0054] It is worth noting that when calculating the color reproduction accuracy index, the initial 3D holographic projection image and the corresponding original three-dimensional image should be obtained first, and then the two images should be converted from the RGB color space to the Lab color space. Subsequently, several sampling points are selected at the same position, and the color difference in the Lab space is calculated for each sampling point. The average color difference of all sampling points is then taken and the average color difference is normalized to obtain the color reproduction accuracy index. The color reproduction accuracy index is mainly used to measure the degree of difference between the image color and the original three-dimensional image, reflecting the projection system's ability to reproduce color information.

[0055] Image score calculation interface: used to comprehensively calculate the image clarity index, brightness distribution uniformity index, edge distortion index and color reproduction accuracy index corresponding to the initial 3D holographic projection image to obtain the image score of the initial 3D holographic projection;

[0056] It is worth noting that the above-mentioned comprehensive evaluation of key image quality indicators such as the clarity, brightness distribution uniformity, edge distortion, and color reproduction accuracy of the initial 3D holographic projection image, and the resulting image quality score, achieves a multi-dimensional quantitative analysis of projection quality. This evaluation method avoids the one-sidedness of single-indicator judgment, improves the comprehensiveness and accuracy of image quality analysis, and thus provides solid data support for the rational adjustment of spray array parameters.

[0057] It is worth further explaining that the calculation formula for the image score of the initial 3D holographic projection is:

[0058]

[0059] Where, Image score representing the initial 3D holographic projection; An image clarity index corresponding to the image of the initial 3D holographic projection; Represents the brightness distribution uniformity index corresponding to the image of the initial 3D holographic projection; Represents the edge distortion index corresponding to the image of the initial 3D holographic projection; Represents the color restoration accuracy index corresponding to the image of the initial 3D holographic projection.

[0060] An adjustment and judgment unit is used to obtain image scores of historical 3D holographic projections and take the average to obtain a quality threshold; the image score of the current initial 3D holographic projection is compared with the quality threshold; if the image score of the current initial 3D holographic projection is less than or equal to the quality threshold, it is determined that the quality of the current initial 3D holographic projection does not meet the quality standards, and the preset spray force and angle of the spray array need to be adjusted; if the image score of the current initial 3D holographic projection is greater than the quality threshold, there is no need to adjust the preset spray force and angle of the spray array;

[0061] It is worth noting that the above-mentioned image score for obtaining historical 3D holographic projections is calculated by the same method using multiple image quality indicators including image clarity, brightness distribution uniformity, edge distortion, and color reproduction accuracy. After taking the average, the quality threshold is obtained. At the same time, the number of image scores for obtaining historical 3D holographic projections is usually N, and N is a preset integer, and the value range is between 5 and 20 times. The specific value should be adjusted according to the actual application scenario.

[0062] Compensation value calculation interface: used to calculate the compensation value of the spray force and angle preset by the spray array;

[0063] Second image acquisition sub-interface: used to acquire real-time image data of the initial water curtain using an image acquisition device;

[0064] Grayscale image generation sub-interface: used to perform grayscale conversion on real-time image data to generate grayscale images;

[0065] Water droplet sparse area identification sub-interface: used to identify water droplet sparse areas and water droplet dense areas based on the gray value distribution of pixels in the grayscale image;

[0066] Ratio calculation sub-interface: used to calculate the ratio of the sparse water droplet area to the entire initial water curtain area;

[0067] The first compensation coefficient calculation sub-interface is used to obtain the adjustment sensitivity of the spray force preset by the spray array, and multiply it by the ratio of the sparse water droplet area to the entire initial water curtain area to obtain the compensation coefficient of the spray force preset by the spray array;

[0068] The first compensation value calculation sub-interface is used to convert the compensation coefficient of the spray force preset by the spray array into an increase in the spray pressure to obtain the compensation value of the spray force preset by the spray array;

[0069] It is worth noting that during the conversion, the baseline injection pressure of the current spray array, that is, the injection intensity originally set by the spray array, should be determined first. Then, the calculated compensation coefficient of the preset injection intensity of the spray array is used as a proportional factor and multiplied by the baseline injection pressure to obtain the increase in injection pressure, that is, the compensation value of the preset injection intensity of the spray array.

[0070] Preprocessing sub-interface: used to preprocess the real-time image data of the initial water curtain;

[0071] It is worth noting that the preprocessing operation usually includes the following key steps: 1. Applying a low-pass filter, such as a Gaussian filter, to remove high-frequency noise in the image and improve image quality, while using nonlinear filtering techniques such as median filtering to deal with problems such as salt and pepper noise; 2. Using histogram equalization or adaptive contrast enhancement algorithm to adjust the brightness distribution of the image and enhance edge features to facilitate subsequent edge detection; 3. Performing necessary cropping on the captured image to remove irrelevant background areas.

[0072] Boundary contour acquisition sub-interface: used to process the real-time image data of the pre-processed initial water curtain using an edge detection algorithm to obtain the boundary contour of the initial water curtain;

[0073] It is worth noting that the above-mentioned process of obtaining the boundary contour of the initial water curtain specifically includes the following steps: first, a suitable edge detection operator is selected, and the Canny operator is usually used, which is widely used due to its good edge positioning ability and low false detection rate; then, the selected edge detection operator is applied to the real-time image data of the initial water curtain after preprocessing, and the gradient amplitude and direction of each pixel point are calculated. For the Canny operator, the image is first smoothed using a Gaussian filter, and then the gradient amplitude and direction of the image are calculated. Then, non-maximum suppression is performed, and the local maximum value is retained as the potential edge point. Finally, the final edge is determined by the double threshold method; then, the detected edge is refined to remove the overly wide or discontinuous parts to ensure that the edge lines are clear and coherent. Commonly used methods include corrosion and dilation in morphological operations; among them, for broken edges, they are connected through connectivity analysis or distance transform-based methods to form a complete boundary contour; finally, the chain code representation method or other contour extraction algorithms are used to extract closed boundary contours from the refined edge map. These contours represent the boundary contour of the initial water curtain.

[0074] Actual and standard width acquisition sub-interface: used to determine the actual width of the initial water curtain based on the boundary outline of the initial water curtain, and obtain the preset standard width of the initial water curtain;

[0075] Offset calculation sub-interface: used to calculate the difference between the actual width of the initial water curtain and the preset standard width of the initial water curtain, and obtain the horizontal offset of the initial water curtain;

[0076] The second compensation coefficient calculation sub-interface is used to calculate the compensation coefficient of the spray array preset spray angle according to the ratio of the initial water curtain horizontal offset and the initial water curtain preset standard width;

[0077] The second compensation value calculation sub-interface is used to convert the compensation coefficient of the spray angle preset by the spray array into the adjustment increment of the spray angle to obtain the compensation value of the spray angle preset by the spray array;

[0078] It is worth noting that, similarly, when converting the compensation coefficient of the preset injection angle of the spray array into the adjustment increment of the injection angle, the baseline injection angle of the current spray array, that is, the originally set injection angle, should be determined first, and then the calculated compensation coefficient of the preset injection angle of the spray array should be used as a proportional factor and multiplied with the baseline injection angle to obtain the adjustment increment of the injection angle, that is, the compensation value of the preset injection angle of the spray array.

[0079] Spray force and angle update interface: used to superimpose the spray force and angle compensation values ​​with the spray force and angle preset by the spray array, respectively, to obtain the spray force and angle of the adjusted spray array;

[0080] It's worth noting that the present invention calculates compensation values ​​for the preset spray force and angle of the spray array and adds them to the original settings, completing a one-time update of the spray parameters. Compared to traditional trial-and-error parameter adjustment methods, this approach significantly reduces the number of adjustments and response time, improving system adjustment efficiency and automation. It also reduces the risk of error accumulation caused by multiple adjustments, ensuring rapid and stable reconstruction of the water curtain shape, and providing a guarantee for high-quality 3D holographic projection output.

[0081] It's worth noting that during the spray intensity adjustment process, grayscale processing is performed on the real-time image of the initial water curtain to identify sparse droplet areas. This is combined with the spray intensity adjustment sensitivity parameter to calculate the spray intensity compensation value, giving the spray intensity adjustment a clear physical basis and good controllability. This method not only improves the response speed of the spray system but also enhances the uniformity of the water curtain density distribution, thereby effectively improving the clarity and stability of the 3D holographic projection image.

[0082] It's worth noting that during the spray angle adjustment process, the initial water curtain's boundary contours are processed and analyzed, its actual width is extracted and compared with the standard width, and then the compensation value of the spray angle is calculated. This method adjusts the angle based on the changing shape of the water curtain, ensuring that the water curtain shape matches the projection requirements, improving the geometric accuracy and visual consistency of the projected image, and further enhancing the overall expressiveness and immersiveness of the 3D holographic projection.

[0083] Final water curtain generation unit: used to activate the spray array according to the adjusted spray force and angle of the spray array to generate the final water curtain, and use the projection device to project the three-dimensional image onto the surface of the final water curtain to generate the final 3D holographic projection;

[0084] Furthermore, the spray array is activated according to the adjusted spray force and angle of the spray array to generate a final water curtain;

[0085] It's worth noting that the present invention uses an image acquisition device to acquire an initial 3D holographic projection image and sets a dynamic quality threshold based on the historical average score to determine whether the current image quality meets the standard. Compared to previous methods that rely on manual experience to determine whether adjustments are necessary, this method enables more objective, accurate, and adaptive adjustment decisions, improving the scientific nature and repeatability of the judgment process and providing a reliable basis for the precise adjustment of subsequent spray parameters.

[0086] It should be noted that the terms used in the present invention are only for describing specific embodiments and are not intended to limit the scope of this application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular and may also include the plural. The terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method or device comprising a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of further restrictions, the elements defined by the sentence "comprise a..." do not exclude the presence of other identical elements in the process, method or device comprising the elements.

[0087] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as limitations on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be a communication between the internal parts of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A 3D holographic projection system based on an array spray water curtain, characterized in that: Includes the following modules: Initial water curtain generation module: used to arrange the spray array, preset the spray angle and intensity of the spray array, start the spray array according to the preset spray intensity and angle, and generate the initial water curtain; Initial 3D holographic projection generation module: connected to the initial water curtain generation module, used to arrange projection devices on both sides of the initial water curtain, use the projection devices to project a three-dimensional image onto the surface of the initial water curtain, and generate an initial 3D holographic projection; The final 3D holographic projection generation module is connected to the initial 3D holographic projection generation module and is used to analyze the quality of the initial 3D holographic projection and adjust the preset spray force and angle of the spray array based on the analysis results to obtain the final 3D holographic projection, including: A first image acquisition unit is configured to acquire an image of an initial 3D holographic projection projected onto the surface of the initial water curtain through an image acquisition device; An image scoring acquisition unit is configured to perform image quality evaluation on the initial 3D holographic projection image to obtain an image score of the initial 3D holographic projection; An adjustment and judgment unit is used to obtain image scores of historical 3D holographic projections and take the average to obtain a quality threshold; the image score of the current initial 3D holographic projection is compared with the quality threshold; if the image score of the current initial 3D holographic projection is less than or equal to the quality threshold, it is determined that the quality of the current initial 3D holographic projection does not meet the quality standards, and the preset spray force and angle of the spray array need to be adjusted; if the image score of the current initial 3D holographic projection is greater than the quality threshold, there is no need to adjust the preset spray force and angle of the spray array; Compensation value calculation interface: used to calculate the compensation value of the spray force and angle preset by the spray array; Spray force and angle update interface: used to superimpose the spray force and angle compensation values ​​with the spray force and angle preset by the spray array, respectively, to obtain the spray force and angle of the adjusted spray array; Second image acquisition sub-interface: used to acquire real-time image data of the initial water curtain using an image acquisition device; Grayscale image generation sub-interface: used to perform grayscale conversion on real-time image data to generate grayscale images; Water droplet sparse area identification sub-interface: used to identify water droplet sparse areas and water droplet dense areas based on the gray value distribution of pixels in the grayscale image; Ratio calculation sub-interface: used to calculate the ratio of the sparse water droplet area to the entire initial water curtain area; The first compensation coefficient calculation sub-interface is used to obtain the adjustment sensitivity of the spray force preset by the spray array, and multiply it by the ratio of the sparse water droplet area to the entire initial water curtain area to obtain the compensation coefficient of the spray force preset by the spray array; The first compensation value calculation sub-interface is used to convert the compensation coefficient of the spray force preset by the spray array into an increase in the spray pressure to obtain the compensation value of the spray force preset by the spray array; Final water curtain generation unit: used to start the spray array according to the adjusted spray force and angle of the spray array to generate the final water curtain, and use the projection device to project the three-dimensional image onto the surface of the final water curtain to generate the final 3D holographic projection.

2. A 3D holographic projection system based on an array spray water curtain according to claim 1, characterized in that: Perform image quality assessment on the initial 3D holographic projection image, including: Clarity index calculation interface: used to calculate the image clarity index corresponding to the initial 3D holographic projection image; Brightness distribution uniformity index calculation interface: used to calculate the brightness distribution uniformity index corresponding to the initial 3D holographic projection image; Edge distortion index calculation interface: used to calculate the edge distortion index corresponding to the initial 3D holographic projection image; Color restoration accuracy index calculation interface: used to calculate the color restoration accuracy index corresponding to the initial 3D holographic projection image; Image score calculation interface: used to comprehensively calculate the image clarity index, brightness distribution uniformity index, edge distortion index and color reproduction accuracy index corresponding to the image of the initial 3D holographic projection, and obtain the image score of the initial 3D holographic projection.

3. The 3D holographic projection system based on an array spray water curtain according to claim 1, characterized in that: Calculates the offset value for the preset spray angle of the spray array, including: Preprocessing sub-interface: used to preprocess the real-time image data of the initial water curtain; Boundary contour acquisition sub-interface: used to process the real-time image data of the pre-processed initial water curtain using an edge detection algorithm to obtain the boundary contour of the initial water curtain; Actual and standard width acquisition sub-interface: used to determine the actual width of the initial water curtain based on the boundary outline of the initial water curtain, and obtain the preset standard width of the initial water curtain; Offset calculation sub-interface: used to calculate the difference between the actual width of the initial water curtain and the preset standard width of the initial water curtain, and obtain the horizontal offset of the initial water curtain; The second compensation coefficient calculation sub-interface is used to calculate the compensation coefficient of the spray array preset spray angle according to the ratio of the initial water curtain horizontal offset and the initial water curtain preset standard width; The second compensation value calculation sub-interface is used to convert the compensation coefficient of the spray angle preset by the spray array into the adjustment increment of the spray angle to obtain the compensation value of the spray angle preset by the spray array.

Images