Firework inner cylinder quality detection method and system for firework production

Abstract

The invention discloses a firework inner cylinder quality detection method and system for firework production, and relates to the technical field of firework inner cylinder quality detection. According to the firework inner cylinder quality detection method for firework production, image data of a plurality of image channels of a to-be-detected firework inner cylinder are obtained and comprehensively analyzed to obtain comprehensive image data of the to-be-detected firework inner cylinder, and the comprehensive image data are input into a pre-trained neural network model for defect recognition analysis, so that the quality of the to-be-detected firework inner cylinder is detected. Performing comprehensive analysis after defect identification analysis to obtain an image quality index of the to-be-detected firework inner cylinder, performing judgment analysis, if the image quality index meets an expected standard, calculating a comprehensive quality strength index of the firework inner cylinder, performing judgment analysis again, if the image quality index does not meet the expected standard, marking the firework inner cylinder as unqualified, and if the image quality index does not meet the expected standard, marking the firework inner cylinder as unqualified. According to the invention, the appearance defects of the firework inner cylinder and the physical characteristics of the inner cylinder are incorporated into a quality evaluation system, so that the quality of the firework inner cylinder can be evaluated more comprehensively and accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of firework inner tube quality detection, and in particular to a firework inner tube quality detection method and system for firework production. Background Art

[0002] Fireworks are a common festive entertainment product, widely used in various celebrations, festivals and public performances. With the development of science and technology and the continuous improvement of production technology, modern fireworks are not only becoming more and more diverse in appearance and effects, but their safety and quality standards have also become an important focus of the industry development. The quality of fireworks directly affects the firing effect, viewing experience and safety, especially the quality of the inner tube of fireworks, which is crucial to the performance and safety of the entire fireworks.

[0003] The inner tube of fireworks is the container used to hold gunpowder in fireworks. Its quality requirements include material density, wall thickness, hardness, and the integrity of the overall structure. During the firing process, the inner tube will be subjected to various mechanical effects such as internal pressure, external impact, heat and vibration. If its quality is unqualified, it may cause explosions or poor fireworks effects, and even cause safety accidents. In order to ensure the safety and reliability of fireworks, quality inspection of fireworks inner tubes is particularly important.

[0004] Existing methods for quality inspection of fireworks inner tubes mostly rely on manual inspection and visual inspection, and mainly rely on the operator's experience to judge the surface condition and external defects of the fireworks inner tube. However, this method has certain limitations and is easily affected by human factors. It is also difficult to accurately inspect the internal structure, mechanical properties and potential minor defects of the fireworks inner tube. With the complexity of fireworks manufacturing technology and the improvement of quality requirements, traditional manual inspection methods can no longer meet the accuracy and efficiency requirements in modern production.

[0005] The limitations of the existing technology include at least the following problems. First, the existing quality inspection method of fireworks inner tubes relies too much on single image data for defect detection. Although this method can detect surface defects such as holes and cracks, it is difficult to comprehensively evaluate the overall quality strength of the fireworks inner tube. Since the quality of the fireworks inner tube depends not only on surface defects, but also involves multiple factors such as its internal material properties and structural strength, a single image detection cannot fully reflect its true structural health status. Therefore, it is difficult for the existing technology to accurately predict the damage or failure that may occur in the actual firing process of the fireworks inner tube, which poses a great safety hazard. Secondly, the existing detection methods usually only use local or limited physical parameters for evaluation, and it is difficult to accurately reflect the overall quality of the fireworks inner tube through comprehensive and detailed multi-dimensional data comprehensive analysis, which can easily lead to some fireworks inner tubes that meet the surface requirements being unstable or failing in structure during actual use due to the failure to consider the influence of all key parameters, thereby affecting the safety and quality of the fireworks. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for detecting the quality of fireworks inner tubes for fireworks production, which solves the problem that the existing method for detecting the quality of fireworks inner tubes is too dependent on single image data for defect detection. Although this method can detect surface defects such as holes and cracks, it is difficult to comprehensively evaluate the overall quality strength of the fireworks inner tube. Since the quality of a fireworks inner tube depends not only on surface defects but also on multiple factors such as its internal material properties and structural strength, a single image detection cannot fully reflect its true structural health status. Therefore, it is difficult for the prior art to accurately predict the damage or failure that may occur to the fireworks inner tube during the actual firing process, thereby posing a great safety hazard. Secondly, the existing detection methods usually only use local or limited physical parameters for evaluation, and it is difficult to accurately reflect the overall quality of the fireworks inner tube through comprehensive and detailed multi-dimensional data comprehensive analysis, which can easily lead to the problem that some fireworks inner tubes that meet the surface requirements fail to take into account the influence of all key parameters in actual use, resulting in structural instability or failure, thereby affecting the safety and quality of the fireworks.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for detecting the quality of firework inner tubes for fireworks production, comprising the following steps: acquiring image data of several image channels of the firework inner tube to be detected, and performing comprehensive analysis to obtain comprehensive image data of the firework inner tube to be detected, wherein the image data is specifically the pixel value of each pixel point in the firework inner tube image, and the comprehensive image data is specifically the comprehensive pixel value of each pixel point in the comprehensive image of the firework inner tube; inputting the comprehensive image data of the firework inner tube to be detected into a pre-trained neural network model for defect recognition analysis to obtain several hole areas and several crack areas in the comprehensive image of the firework inner tube to be detected, and performing comprehensive analysis to obtain the image quality index of the firework inner tube to be detected; judging whether the image quality index of the firework inner tube to be detected is within a preset image quality threshold range; if the image quality index of the firework inner tube to be detected is within the preset image quality threshold range, then the firework inner tube to be detected is detected. If the image quality index of the inner tube of the firework to be detected is outside the preset image quality threshold interval, the inner tube of the firework to be detected is marked as unqualified; if the image quality index of the inner tube of the firework to be detected is within the preset image quality threshold interval, the physical feature data of the inner tube of the firework to be detected is obtained, and a comprehensive analysis is performed to obtain the comprehensive quality strength index of the inner tube of the firework to be detected, wherein the physical feature data includes the material density value, wall thickness value, material hardness value, surface roughness value, surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measuring position point; it is determined whether the comprehensive quality strength index of the inner tube of the firework to be detected is within the preset comprehensive quality strength threshold interval; if the comprehensive quality strength index of the inner tube of the firework to be detected is within the preset comprehensive quality strength threshold interval, the inner tube of the firework to be detected is marked as qualified; if the comprehensive quality strength index of the inner tube of the firework to be detected is outside the preset comprehensive quality strength threshold interval, the inner tube of the firework to be detected is marked as unqualified.

[0008] Furthermore, the specific formula for calculating the comprehensive pixel value of each pixel point in the comprehensive image of the firework inner tube of the firework inner tube to be detected is as follows: ;in, is the first in the comprehensive image of the fireworks inner tube to be detected The comprehensive pixel value of each pixel, The first The image of the inner tube of the firework in the image channel The pixel value of a pixel, The first The image of the inner tube of the firework in the image channel The weighting coefficient of the pixel value of each pixel, =1, 2, 3, ..., , is the number of pixels, =1, 2, 3, ..., , is the number of image channels.

[0009] Furthermore, the neural network model is specifically a convolutional neural network model, and the specific steps for obtaining a number of hole areas and a number of crack areas in the comprehensive image of the inner tube of a firework to be detected are as follows: adjusting the comprehensive image data of the inner tube of a firework to be detected; converting the adjusted comprehensive image data of the inner tube of a firework to be detected into a tensor, and inputting it into a pre-trained convolutional neural network model for feature extraction; performing defect recognition and classification processing on the feature extraction results to obtain a number of hole areas and a number of crack areas in the comprehensive image of the inner tube of a firework to be detected.

[0010] Furthermore, the specific steps for obtaining the image quality index of the firework inner tube to be detected are as follows: count the number of pixels in each hole area and each crack area in the comprehensive image of the firework inner tube of the firework inner tube to be detected, and use them as the area value of each hole area and the area value of each crack area in the comprehensive image of the firework inner tube of the firework inner tube to be detected; obtain the cross-sectional area value of the firework inner tube to be detected, and perform a comprehensive analysis based on the area value of each hole area and the area value of each crack area in the comprehensive image of the firework inner tube of the firework inner tube to be detected, to obtain the image hole influence factor and the image crack influence factor of the firework inner tube to be detected; obtain the reference bearing capacity value of the firework inner tube to be detected, and perform a comprehensive analysis based on the image hole influence factor and the image crack influence factor of the firework inner tube to be detected, to obtain the image quality index of the firework inner tube to be detected.

[0011] Furthermore, the specific formulas for calculating the image hole impact factor, image crack impact factor, and image quality index of the inner tube of the firework to be detected are as follows: ;in, is the image hole impact factor of the inner tube of the firework to be detected, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The area value of the hole area, is the cross-sectional area of ​​the inner tube of the firework to be tested, is the image crack impact factor of the inner tube of the firework to be detected, =1, 2, 3, ..., , is the number of hole areas, is the crack influence coefficient stored in the database, is a natural constant, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The length of the crack area, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The area value of the crack region, =1, 2, 3, ..., , is the number of crack areas, is the image quality index of the inner tube of the firework to be detected, It is the reference load-bearing capacity value of the inner tube of the firework to be tested.

[0012] Furthermore, the specific steps of obtaining the comprehensive quality strength index of the inner tube of the firework to be tested are as follows: reading the physical characteristic data of the inner tube of the firework to be tested, and performing a comprehensive analysis to obtain the basic quality strength index and mechanical strength index of the inner tube of the firework to be tested; performing a comprehensive analysis on the basic quality strength index and mechanical strength index of the inner tube of the firework to be tested, and obtaining the comprehensive quality strength index of the inner tube of the firework to be tested; wherein, the specific formula for calculating the comprehensive quality strength index of the inner tube of the firework to be tested is as follows: ;in, is the comprehensive quality strength index of the inner tube of the firework to be tested, is the basic quality strength index of the firework inner tube to be tested, is the basic quality coefficient stored in the database, is the mechanical strength index of the inner tube of the firework to be tested, is the mechanical strength coefficient stored in the database, , is a natural constant.

[0013] Furthermore, the specific steps for obtaining the basic quality strength index of the inner tube of the firework to be tested are as follows: obtain the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the inner tube of the firework to be tested; comprehensively analyze the material density value, wall thickness value, material hardness value, and surface roughness value of each measuring position point of the inner tube of the firework to be tested in combination with the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the inner tube of the firework to be tested to obtain the basic quality strength index of the inner tube of the firework to be tested.

[0014] Furthermore, the specific formula for calculating the basic quality strength index of the inner tube of the firework to be tested is as follows: ;in, is the basic quality strength index of the firework inner tube to be tested, For each of the fireworks inner tubes to be tested The material density value at each measuring point, The reference value of the material density of the inner tube of the firework to be tested, is the material density coefficient stored in the database, For each of the fireworks inner tubes to be tested The wall thickness value of each measuring point, The reference value of the wall thickness of the inner tube of the fireworks to be tested, is the wall thickness coefficient stored in the database, For each of the fireworks inner tubes to be tested The material hardness value at each measuring point, is the reference value of the material hardness of the inner tube of the firework to be tested, is the material hardness coefficient stored in the database, For each of the fireworks inner tubes to be tested The surface roughness value of each measuring point, is the reference value of the surface roughness of the inner tube of the firework to be tested, is the surface roughness coefficient stored in the database, , =1, 2, 3, ..., , The number of measurement position points.

[0015] Furthermore, the specific steps for obtaining the mechanical strength index of the inner tube of the firework to be tested are as follows: obtaining the surface temperature reference value, strain reference value, vibration frequency reference value, and surface smoothness reference value of the inner tube of the firework to be tested; comprehensively analyzing the surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measuring position point of the inner tube of the firework to be tested in combination with the surface temperature reference value, strain reference value, vibration frequency reference value, and surface smoothness reference value of the inner tube of the firework to be tested, to obtain the mechanical strength index of the inner tube of the firework to be tested; wherein, the specific formula for calculating the mechanical strength index of the inner tube of the firework to be tested is as follows: ;in, is the mechanical strength index of the inner tube of the firework to be tested, For each of the fireworks inner tubes to be tested The surface temperature value of each measuring point, is the reference value of the surface temperature of the inner tube of the firework to be tested, is the surface temperature coefficient stored in the database, For each of the fireworks inner tubes to be tested The strain value of each measuring point, is the strain reference value of the inner tube of the firework to be tested, is the gauge factor stored in the database, For each of the fireworks inner tubes to be tested The vibration frequency value of each measuring point, is the reference value of the vibration frequency of the inner tube of the firework to be tested, is the vibration frequency coefficient stored in the database, For each of the fireworks inner tubes to be tested The surface smoothness value of each measuring position, is the reference value of the surface smoothness of the inner tube of the firework to be tested, is the surface smoothness coefficient stored in the database, , is a natural constant, =1, 2, 3, ..., , The number of measurement position points.

[0016] A fireworks inner tube quality inspection system for fireworks production, comprising: an image intelligent analysis module, a defect recognition module, an image quality intelligent judgment module, a comprehensive quality analysis module, and a comprehensive quality judgment module; the image intelligent analysis module is used to obtain image data of a plurality of image channels of a fireworks inner tube to be inspected, and perform comprehensive analysis to obtain comprehensive image data of the fireworks inner tube to be inspected, wherein the image data is specifically the pixel value of each pixel point in the fireworks inner tube image, and the comprehensive image data is specifically the comprehensive pixel value of each pixel point in the comprehensive image of the fireworks inner tube; the defect recognition module is used to input the comprehensive image data of the fireworks inner tube to be inspected into a pre-trained neural network model for defect recognition analysis, obtain a plurality of hole areas and a plurality of crack areas in the comprehensive image of the fireworks inner tube to be inspected, and perform comprehensive analysis to obtain the image quality index of the fireworks inner tube to be inspected; the image quality intelligent judgment module is used to judge whether the image quality index of the fireworks inner tube to be inspected is within a preset image quality threshold range, and if the fireworks inner tube to be inspected is within a preset image quality threshold range, ... If the image quality index of the inner tube is outside the preset image quality threshold interval, the inner tube of the firework to be detected is marked as unqualified; the comprehensive quality analysis module is used to obtain the physical feature data of the inner tube of the firework to be detected when the image quality index of the inner tube of the firework to be detected is within the preset image quality threshold interval, and perform comprehensive analysis to obtain the comprehensive quality strength index of the inner tube of the firework to be detected, wherein the physical feature data includes the material density value, wall thickness value, material hardness value, surface roughness value, surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measurement position point; the comprehensive quality judgment module is used to judge whether the comprehensive quality strength index of the inner tube of the firework to be detected is within the preset comprehensive quality strength threshold interval. If the comprehensive quality strength index of the inner tube of the firework to be detected is within the preset comprehensive quality strength threshold interval, the inner tube of the firework to be detected is marked as qualified; if the comprehensive quality strength index of the inner tube of the firework to be detected is outside the preset comprehensive quality strength threshold interval, the inner tube of the firework to be detected is marked as unqualified.

[0017] The present invention has the following beneficial effects: (1) This quality inspection method for fireworks inner tubes used in fireworks production not only analyzes the appearance defects of fireworks inner tubes, but also incorporates the physical characteristics of the inner tubes into the quality assessment system. Since traditional inspection methods often rely only on visual inspection of surface defects or a single physical parameter, it is easy to make it difficult to fully reflect the actual quality of fireworks inner tubes. By combining image data with physical feature data, it is possible to more comprehensively and accurately evaluate the quality of fireworks inner tubes, thereby ensuring their safety and reliability during production, transportation and firing.

[0018] (2) This method for quality inspection of fireworks inner tubes used in fireworks production can significantly improve the accuracy of quality inspection by combining image data with multiple physical parameter data for comprehensive analysis. In particular, image data combined with the defect recognition capability of a deep learning model can automatically and efficiently detect small defects that may be difficult to identify using traditional manual inspection methods. Furthermore, the comprehensive analysis of physical feature data makes the inspection process more comprehensive, covering different performance indicators of fireworks inner tubes, improving the accuracy of quality assessment, and reducing missed inspections or misjudgments caused by human factors or a single inspection method.

[0019] (3) The fireworks inner tube quality inspection system used in fireworks production realizes a fully automated quality inspection process by integrating multiple modules such as image intelligent analysis, defect recognition, image quality judgment, and comprehensive quality analysis. The system can quickly obtain image data of the fireworks inner tube and perform defect recognition in real time. It analyzes the hole and crack areas through a pre-trained neural network model, further calculates the image quality index and performs intelligent judgment to automatically determine whether the fireworks inner tube is qualified. In addition, the system also combines the analysis of physical feature data to perform a more detailed comprehensive quality strength assessment. This highly automated quality inspection system not only reduces manual intervention and improves production efficiency, but also provides real-time feedback on quality problems, shortens the inspection cycle, and ensures the continuous operation of the production line. Through automation and real-time optimization, it not only improves the overall production efficiency, but also greatly reduces the errors that may occur during manual inspection, ensuring the quality reliability of each fireworks inner tube, thereby improving the stability and safety of the production process.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The present invention is a flow chart of a method for detecting the quality of a firework inner tube used in the production of fireworks.

[0022] Figure 2 The present invention is a flowchart of the specific steps of obtaining the image quality index of the inner tube of a firework to be detected in a method for detecting the quality of the inner tube of a firework used in the production of fireworks.

[0023] Figure 3 The present invention is a block diagram of a fireworks inner tube quality detection system for fireworks production. DETAILED DESCRIPTION

[0024] The embodiment of the present application solves the problem that the existing quality inspection method for fireworks inner tubes is too dependent on single image data for defect detection through a method and system for inspecting the quality of fireworks inner tubes for fireworks production. Although this method can detect surface defects such as holes and cracks, it is difficult to comprehensively evaluate the overall quality strength of the fireworks inner tube. Since the quality of a fireworks inner tube depends not only on surface defects but also on multiple factors such as its internal material properties and structural strength, a single image inspection cannot fully reflect its true structural health status. Therefore, it is difficult for the existing technology to accurately predict the damage or failure that may occur to the fireworks inner tube during the actual firing process, thus posing a great safety hazard. Secondly, the existing inspection methods usually only use local or limited physical parameters for evaluation, and it is difficult to accurately reflect the overall quality of the fireworks inner tube through comprehensive and detailed multi-dimensional data comprehensive analysis, which can easily lead to the problem that some fireworks inner tubes that meet the surface requirements fail to take into account the influence of all key parameters in actual use, resulting in structural instability or failure, thereby affecting the safety and quality of the fireworks.

[0025] The overall idea of ​​the problem in the embodiment of this application is as follows: First, the image data of several image channels of the firework inner tube to be inspected are obtained through image acquisition technology. These image data contain the pixel value of each pixel point. Through comprehensive analysis, these image channel data are fused into a comprehensive image data to facilitate subsequent defect identification and quality assessment. The obtained comprehensive image data is input into the pre-trained convolutional neural network model for defect identification analysis. The neural network model can effectively identify the holes and cracks in the firework inner tube image, and analyze the area of ​​the defective area to obtain the image quality index. The results of this stage help to screen out the firework inner tubes with surface defects. When the image quality meets the requirements, the physical characteristic data of the firework inner tube (such as material density, wall thickness, material hardness, surface roughness, surface temperature, strain, vibration frequency and surface smoothness, etc.) are further obtained and comprehensively analyzed. The comprehensive quality strength index of the firework inner tube is calculated through the comprehensive physical characteristic data. Finally, the quality threshold is determined to determine whether the firework inner tube is qualified and marked as qualified or unqualified.

[0026] See also Figure 1The embodiment of the present invention provides a technical solution: a method for detecting the quality of fireworks inner tubes for fireworks production, comprising the following steps: acquiring image data of a plurality of image channels of a fireworks inner tube to be detected after production, and performing comprehensive analysis to obtain comprehensive image data of the fireworks inner tube to be detected, wherein the image data is specifically the pixel value of each pixel point in the fireworks inner tube image, and the comprehensive image data is specifically the comprehensive pixel value of each pixel point in the comprehensive image of the fireworks inner tube; inputting the comprehensive image data of the fireworks inner tube to be detected into a pre-trained neural network model for defect recognition analysis to obtain a plurality of hole areas and a plurality of crack areas in the comprehensive image of the fireworks inner tube to be detected, and performing comprehensive analysis to obtain an image quality index of the fireworks inner tube to be detected; judging whether the image quality index of the fireworks inner tube to be detected is within a preset image quality threshold interval; if the image quality index of the fireworks inner tube to be detected is within a preset image quality threshold interval, then determining whether the image quality index of the fireworks inner tube to be detected is within a preset image quality threshold interval; if the image quality index of the fireworks inner tube to be detected is within a preset image quality threshold interval, then determining whether the image quality index of the fireworks inner tube to be detected is within a preset image quality threshold interval; If the image quality index of the inner tube of the firework to be detected is outside the preset image quality threshold interval, the inner tube of the firework to be detected is marked as unqualified and classified into the preset unqualified quality area; if the image quality index of the inner tube of the firework to be detected is within the preset image quality threshold interval, the physical feature data of the inner tube of the firework to be detected is obtained, and a comprehensive analysis is performed to obtain the comprehensive quality strength index of the inner tube of the firework to be detected; it is determined whether the comprehensive quality strength index of the inner tube of the firework to be detected is within the preset comprehensive quality strength threshold interval; if the comprehensive quality strength index of the inner tube of the firework to be detected is within the preset comprehensive quality strength threshold interval, the inner tube of the firework to be detected is marked as qualified and classified into the preset qualified quality area; if the comprehensive quality strength index of the inner tube of the firework to be detected is outside the preset comprehensive quality strength threshold interval, the inner tube of the firework to be detected is marked as unqualified and classified into the preset unqualified quality area.

[0027] The specific formula for calculating the comprehensive pixel value of each pixel in the comprehensive image of the firework inner tube of the firework inner tube to be detected is as follows: ;in, is the first in the comprehensive image of the fireworks inner tube to be detected The comprehensive pixel value of each pixel, The first The image of the inner tube of the firework in the image channel The pixel value of a pixel, The first The image of the inner tube of the firework in the image channel The weighting coefficient of the pixel value of each pixel, =1, 2, 3, ..., , is the number of pixels, =1, 2, 3, ..., , is the number of image channels.

[0028] Specifically, the neural network model is a convolutional neural network model, and the specific steps of obtaining several hole areas and several crack areas in the comprehensive image of the inner tube of the fireworks to be detected are as follows: adjusting the comprehensive image data of the inner tube of the fireworks to be detected, including: normalizing the pixel values ​​of the comprehensive image data to the input range of the model (such as [0,1] or [-1,1]); if the size of the comprehensive image is inconsistent with the input size of the model, using the interpolation method to adjust the image size; converting the adjusted comprehensive image data of the inner tube of the fireworks to be detected into a tensor (because the input and output of the neural network are usually tensors, tensors can have different dimensions. For image data, there are usually three dimensions: height (H), width (W), and number of channels (C). For example, for RGB images, the tensor dimension of the image is (H, W, 3), that is, height*width*3 (RGB three color channels). In the convolutional neural network (CNN), the image data is input as a tensor and undergoes a series of convolutions. After operations such as multiplication and pooling, the output is also a tensor, which usually represents the feature map of the image), and is input into the pre-trained convolutional neural network model for feature extraction (including: convolution operation (the convolution layer of the model will extract high- and low-level features of the image layer by layer, for example: low-level features: edges, textures; high-level features: hole shapes, crack connection areas, etc.), pooling operation: (reduce the spatial resolution of the image and retain key features)); defect recognition and classification processing is performed on the feature extraction results (including: the model classifies each pixel in the input image as "hole", "crack" or "normal area", and outputs a mask image (mask), for example: pixels in the hole area are marked as 1; pixels in the crack area are marked as 2; pixels in the defect-free area are marked as 0. According to the classification results, the marked hole and crack areas are extracted to generate a set of area coordinates (such as contours, polygonal areas, etc.)), and several hole areas and several crack areas in the comprehensive image of the fireworks inner tube to be detected are obtained.

[0029] The convolutional neural network model includes: a layer for receiving comprehensive image data of the inner tube of fireworks. The input data is usually a multi-channel two-dimensional image matrix, an input layer representing the comprehensive information of multiple image channels, a convolution layer for extracting image features, such as holes, crack edges, shapes, etc. The weights of the convolution layer are learned from the pre-training task, and a convolution layer capable of identifying defect features, a pooling layer for reducing the dimension of the data while retaining important features and improving the computational efficiency of the model, a fully connected layer for mapping the extracted features to specific output categories, such as "hole area", "crack area" or "defect-free area", and an output layer for providing the prediction results of the model. The output is a mask map (mask) that marks the holes and crack areas in the image.

[0030] The pre-training process of the convolutional neural network model is as follows: Obtain a dataset containing a large amount of labeled data (such as images of firework inner tubes with holes and cracks labeled) to train the convolutional neural network model. Each sample in the dataset includes the input comprehensive image data and the corresponding target area mask.

[0031] During the training process, a loss function (such as cross entropy loss or Dice loss) is used to measure the difference between the predicted results and the true annotations, and the convolutional neural network model is gradually optimized.

[0032] The convolutional neural network model parameters are updated through optimization algorithms (such as Adam or SGD) to gradually improve the recognition accuracy.

[0033] After the training is completed, the weights and structure of the convolutional neural network model are saved for actual detection tasks.

[0034] In this embodiment, image analysis is performed through a convolutional neural network, which can automatically, quickly and accurately detect defects in the inner tube of fireworks. First, after pre-training, the convolutional neural network model can effectively extract high-level features in the image, such as the shape of the hole, the connection of the cracks, etc., by learning a large amount of labeled data (including images of the inner tube of fireworks labeled with defects such as holes and cracks). This enables the system to not only identify the type of defects when processing complex image data, but also accurately locate the specific area. Secondly, through data preprocessing and adjustment (such as pixel value normalization, size adjustment, etc.), the system ensures that the image data is input into the neural network in the best format, avoiding errors caused by data inconsistency. The robustness and accuracy of the model are enhanced. Furthermore, the combination of convolutional layers and pooling layers enables the system to extract low-level features (such as edges and textures) to high-level features (such as the shape and position of holes and cracks) from the image layer by layer, and reduce the computational complexity and improve processing efficiency through pooling operations. Through the above process, the system can automatically identify and classify defects (holes, cracks, etc.) in the image of firework inner tubes, and generate mask images to mark defective areas. This not only improves the accuracy of defect detection, but also greatly reduces the error and time cost of manual inspection. Ultimately, real-time and accurate quality inspection can be achieved on the production line to ensure that the quality of each firework inner tube meets the standards, thereby improving product consistency and production efficiency.

[0035] Specifically, Figure 2 As shown, the specific steps of obtaining the image quality index of the firework inner tube to be detected are as follows: counting the number of pixels in each hole area and each crack area in the firework inner tube comprehensive image of the firework inner tube to be detected, and respectively using them as the area value of each hole area and the area value of each crack area in the firework inner tube comprehensive image of the firework inner tube to be detected; obtaining the cross-sectional area value of the firework inner tube to be detected, and performing comprehensive analysis in combination with the area value of each hole area and the area value of each crack area in the firework inner tube comprehensive image of the firework inner tube to be detected, to obtain the image hole influence factor and the image crack influence factor of the firework inner tube to be detected; obtaining the reference bearing capacity value of the firework inner tube to be detected (indicating the maximum bearing capacity value of the firework inner tube material under ideal conditions, i.e., without holes, cracks or other defects, and under standard environmental parameters), and performing comprehensive analysis in combination with the image hole influence factor and the image crack influence factor of the firework inner tube to be detected, to obtain the image quality index of the firework inner tube to be detected.

[0036] The specific formulas for calculating the image hole impact factor, image crack impact factor, and image quality index of the inner tube of the firework to be detected are as follows: ;in, is the image hole impact factor of the inner tube of the firework to be detected, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The area value of the hole area, is the cross-sectional area of ​​the inner tube of the firework to be tested, is the image crack impact factor of the inner tube of the firework to be detected, =1, 2, 3, ..., , is the number of hole areas, is the crack influence coefficient stored in the database, is a natural constant, and in this embodiment, its value is 2.71. is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The length of the crack area, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The area value of the crack region, =1, 2, 3, ..., , is the number of crack areas, is the image quality index of the inner tube of the firework to be detected, It is the reference load-bearing capacity value of the inner tube of the firework to be tested.

[0037] It should be explained that the cross-sectional area value of the inner tube of the firework to be tested can be obtained by measuring the outer diameter value and the inner diameter value of the inner tube of the firework, and performing calculation and analysis, which is specifically: cross-sectional area value = (pi)*((outer diameter of the inner tube of the firework / 2) 2 - (Inner diameter of the firework tube / 2) 2 ).

[0038] The reference bearing capacity value of the firework inner tube to be tested can be obtained by measuring the internal pressure value generated by the firework inner tube when the firework is ignited, the average value of the inner and outer diameters of the firework inner tube, and the thickness value of the firework inner tube wall, and performing calculation and analysis, which is specifically: reference bearing capacity value = (internal pressure value generated by the firework inner tube when the firework is ignited * average value of the inner and outer diameters of the firework inner tube) / thickness value of the firework inner tube wall.

[0039] The crack influence coefficient stored in the database can be obtained by the following method: Experimental testing method: Collect fireworks inner tube samples with different crack lengths, areas and distribution characteristics, record the actual strength or failure point of each sample under stress (such as internal pressure, tensile force, etc.), analyze the degree of weakening of the fireworks inner tube strength caused by crack length, area, etc., extract its quantitative influence on strength, establish the relationship model between crack length and strength weakening, and obtain the experimental data table of crack influence coefficient.

[0040] Simulation calculation method: A three-dimensional model is established based on the geometric structure and material properties of the inner tube of the firework, and cracks of different lengths and areas are introduced into the model to simulate the stress conditions (such as internal pressure, external pressure, etc.) of the inner tube of the firework in actual work. By analyzing the stress distribution around the cracks, the degree of weakening of the structural strength by the cracks is extracted, and the results are converted into crack influence coefficients.

[0041] The length value of the crack area is obtained based on the analysis of image processing technology, as follows: use edge detection algorithms (such as Canny and Sobel) to extract the boundaries of the cracks from the image, perform binarization, and generate a binary image with only the cracks, where the crack pixel value is 1 and the other pixel values ​​are 0. Skeletonize the binary crack image and turn the crack area into a 1-pixel wide line, which can eliminate the influence of the crack width and only retain its center line. Then traverse all pixel points in the skeleton image and count the total number of all crack pixel points, which is the length value of the crack area.

[0042] In this implementation scheme, by counting the number of pixels in each hole area and crack area, combined with the cross-sectional area and reference bearing capacity value of the firework inner tube, the influence of defects (such as holes and cracks) on the overall quality of the firework inner tube can be quantitatively analyzed. The influencing factor of each defect (such as the image hole influencing factor and the image crack influencing factor) takes into account the physical characteristics of the defect such as area and length, and comprehensively calculates it with the bearing capacity of the firework inner tube, making the quality assessment more accurate and comprehensive. The calculation of the image quality index combines multiple factors, such as the influence of holes and cracks, and the reference bearing capacity of the inner tube, so that the final quality index not only depends on the image data itself, but also integrates parameters closely related to the physical properties of the firework inner tube. This comprehensive analysis can more comprehensively reflect the quality strength of the inner tube, especially when there are holes or cracks, the impact on the structural strength can be accurately evaluated through image analysis and bearing capacity model. In order to ensure the accuracy of the crack influencing factor, a combination of experimental testing method and simulation calculation method is adopted. Through experiments, data of different crack lengths, The strength influence data of the crack area, etc., and the three-dimensional model is established through simulation calculation to analyze the weakening effect of the crack on the structure, so that the influence coefficient of the crack can be obtained more scientifically and accurately. This double verification method not only improves the reliability of the data, but also provides a solid theoretical and practical foundation for future quality assessment. The image processing technology (such as edge detection, binarization, skeletonization, etc.) is used to accurately extract the crack length, making the image analysis results more physically meaningful. These image processing technologies can effectively remove the influence of the crack width and only retain the center line of the crack, so as to accurately calculate the length of the crack, providing more accurate input data for subsequent quality assessment. Through this comprehensive calculation process, the system can realize automated quality assessment without relying on human intervention. The quality analysis of each firework inner tube is not only fast and accurate, but also helps to improve the automation level of the production line and reduce errors caused by human factors. In addition, this method can be widely used in the production process to monitor and warn of quality problems in real time to ensure that each firework inner tube produced meets safety and quality standards.

[0043] Specifically, the specific steps for obtaining the comprehensive quality strength index of the inner tube of the firework to be tested are as follows: read the physical characteristic data of the inner tube of the firework to be tested, and conduct a comprehensive analysis to obtain the basic quality strength index and mechanical strength index of the inner tube of the firework to be tested; conduct a comprehensive analysis of the basic quality strength index and mechanical strength index of the inner tube of the firework to be tested to obtain the comprehensive quality strength index of the inner tube of the firework to be tested.

[0044] The specific formula for calculating the comprehensive quality strength index of the inner tube of the firework to be tested is as follows: ;in, is the comprehensive quality strength index of the inner tube of the firework to be tested, is the basic quality strength index of the firework inner tube to be tested, is the basic quality coefficient stored in the database, is the mechanical strength index of the inner tube of the firework to be tested, is the mechanical strength coefficient stored in the database, , is a natural constant and in this embodiment has a value of 2.71.

[0045] It should be explained that the data stored in the database , The specific calculation process is as follows: the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the fireworks inner tube to be tested after standardization are weighted analyzed with the corresponding coefficients to obtain the basic quality strength reference index.

[0046] The reference values ​​of surface temperature, strain, vibration frequency and surface smoothness of the inner tube of the firework to be tested after standardization are weighted analyzed with the corresponding coefficients to obtain a reference index of mechanical strength.

[0047] The basic quality strength reference index and the mechanical strength reference index are summed and analyzed to obtain the comprehensive quality strength and value. Then, the basic quality strength reference index and the mechanical strength reference index are respectively analyzed in proportion to the comprehensive quality strength and value. The result of the proportion analysis is the corresponding coefficient.

[0048] The specific implementation example of calculating the comprehensive quality strength index of the inner tube of the firework to be tested is as follows. The following data are available: including the material density value, wall thickness value, material hardness value, surface roughness value, surface temperature value, strain value, vibration frequency value, and surface smoothness value of eight measurement positions. The specific data are shown in Table 1 and Table 2: Table 1 Examples of physical characteristic data of the inner tube of fireworks to be tested ; Table 2 Examples of reference data for the physical characteristics of the inner tube of fireworks to be tested

[0049] Material density coefficients stored in the database Approximately: 0.272; Wall thickness factor stored in the database Approximately: 0.248; Material hardness coefficients stored in the database Approximately: 0.251; Surface roughness factors stored in the database Approximately: 0.229; Substituting the above coefficients and the data in Table 1 and Table 2 into the specific formula for calculating the basic mass strength index of the inner tube of the firework to be tested, we obtain: Basic quality strength index of the firework inner tube at the measuring position 1 to be tested ; Basic quality strength index of the measuring position 2 of the inner tube of the firework to be tested ; Basic quality strength index of the measuring position 3 of the inner tube of the firework to be tested ; Basic quality strength index of measuring position 4 of the inner tube of the firework to be tested ; Basic quality strength index of the measuring position 5 of the inner tube of the firework to be tested ; Basic quality strength index of the firework inner tube to be tested at the measuring position 6 ; Basic quality strength index of the measuring position 7 of the inner tube of the firework to be tested ; Basic quality strength index of the measuring position 8 of the inner tube of the firework to be tested ; Calculate the basic quality strength index of the firework inner tube to be tested from the above data .

[0050] Also, the surface temperature coefficients stored in the database Approximately: 0.315; Gauge factors stored in the database Approximately: 0.268; Vibration frequency coefficients stored in the database Approximately: 0.248; Surface smoothness coefficients stored in the database Approximately: 0.169; Substituting the above coefficients and the data in Table 1 and Table 2 into the specific formula for calculating the mechanical strength index of the inner tube of the firework to be tested, we obtain: Mechanical strength index of the firework inner tube to be tested at measurement position 1 ; Mechanical strength index of the firework inner tube at the measuring position 2 to be tested ; Mechanical strength index of the firework inner tube to be tested at measurement position 3 ; Mechanical strength index of the firework inner tube at the measuring position 4 to be tested ; Mechanical strength index of the firework inner tube to be tested at the measuring position 5 ; Mechanical strength index of the firework inner tube to be tested at measurement position 6 ; Mechanical strength index of the firework inner tube at the measuring position 7 to be tested ; Mechanical strength index of the firework inner tube to be tested at the measuring position 8 ; Calculate the mechanical strength index of the inner tube of the firework to be tested from the above data .

[0051] And the basic quality coefficient stored in the database About: 0.57; Mechanical strength coefficients stored in the database About: 0.43; Substitute the above coefficients and the calculated basic quality strength index and mechanical strength index of the firework inner tube to be tested into the specific formula for calculating the comprehensive quality strength index of the firework inner tube to be tested to obtain: Comprehensive quality strength index of the firework inner tube to be tested .

[0052] In this implementation scheme, by combining the physical characteristic data of the firework inner tube (such as material density, wall thickness, material hardness, surface roughness, etc.) with the mechanical properties (such as surface temperature, strain, vibration frequency, surface smoothness, etc.), the basic quality strength index and mechanical strength index are calculated respectively, so that the quality of the firework inner tube can be comprehensively evaluated. This multi-dimensional analysis method can avoid the misjudgment that may be caused by a single parameter, and ensure that the quality assessment is more accurate and complete. When calculating the basic quality strength index and the mechanical strength index, a standardized processing method is adopted to uniformly analyze the various parameters of the firework inner tube to be tested. Through weighted analysis, it is ensured that the influence of each parameter is consistent with its physical characteristics, so that the final index calculation is more in line with the actual situation, and the quality is improved. The setting of weight coefficients can also be adjusted according to experimental data and actual conditions, thereby improving the flexibility and accuracy of the analysis. By calculating the basic quality strength reference index and the mechanical strength reference index respectively and conducting a comprehensive analysis of the two indexes, the overall quality status and mechanical bearing capacity of the fireworks inner tube can be effectively quantified and combined. This method can fully consider the material properties and the mechanical effects in practical applications. The final comprehensive quality strength index can better reflect the stability and safety of the fireworks inner tube in actual production. Through the coefficients and reference values ​​stored in the database, the various parameters of the fireworks inner tube are weighted and the corresponding coefficients are obtained. These database data can be continuously optimized and updated. With the accumulation of more sample data and test results, Accumulation can improve the accuracy and adaptability of the coefficients, so that the system's quality assessment model can continuously optimize itself and improve long-term detection performance and adaptability. The calculation process of the comprehensive quality strength index combines multiple dimensions of basic quality and mechanical strength, making the overall assessment process more efficient. Through this method, the system can directly obtain the quality strength assessment results through simple physical measurement data without relying on complex external testing equipment, reducing testing time and costs, and improving real-time monitoring capabilities during the production process. Since natural constants and adjustable coefficients (such as basic quality coefficients and mechanical strength coefficients) are used in the formula, this method has good flexibility and adaptability, and different production environments, different types of fireworks inner tubes, and different The material properties can be adjusted by adjusting the relevant parameters and re-optimizing the model to ensure that it can provide accurate quality assessment results under various conditions. By adopting standardized and weighted mathematical models for quality analysis, the influence of human factors on the test results is reduced. The system can perform quality assessment with consistent standards to ensure that the quality test results of each firework inner tube have high accuracy and consistency, avoiding errors that may be caused by manual operation. Through the comprehensive quality strength index, the production line can quickly identify unqualified firework inner tubes and adjust the production process or raw material ratio in time, which not only helps to improve product quality, but also effectively avoids possible safety problems in the production process, and supports efficient quality control and production process optimization.

[0053] Specifically, the specific steps for obtaining the basic quality strength index of the inner tube of the firework to be tested are as follows: obtain the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the inner tube of the firework to be tested; comprehensively analyze the material density value, wall thickness value, material hardness value, and surface roughness value of each measuring position point of the inner tube of the firework to be tested in combination with the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the inner tube of the firework to be tested to obtain the basic quality strength index of the inner tube of the firework to be tested.

[0054] The specific formula for calculating the basic mass strength index of the inner tube of the firework to be tested is as follows: ;in, is the basic quality strength index of the firework inner tube to be tested, For each of the fireworks inner tubes to be tested The material density value at each measuring point, The reference value of the material density of the inner tube of the firework to be tested, is the material density coefficient stored in the database, For each of the fireworks inner tubes to be tested The wall thickness value of each measuring point, The reference value of the wall thickness of the inner tube of the fireworks to be tested, is the wall thickness coefficient stored in the database, For each of the fireworks inner tubes to be tested The material hardness value at each measuring point, is the reference value of the material hardness of the inner tube of the firework to be tested, is the material hardness coefficient stored in the database, For each of the fireworks inner tubes to be tested The surface roughness value of each measuring point, is the reference value of the surface roughness of the inner tube of the firework to be tested, is the surface roughness coefficient stored in the database, , =1, 2, 3, ..., , The number of measurement position points.

[0055] It should be explained that the material density value can be measured and obtained through high-precision density sensors (such as X-ray densitometers). It refers to the mass of material contained in a unit volume, which directly affects the overall mass, strength and carrying capacity of the inner tube of the firework. The higher the density, the denser and stronger the material. For the inner tube of a firework, too low a density means that the material is not strong enough and has poor carrying capacity; while too high a density can easily cause the inner tube itself to be too heavy, affecting the effect and safety of the fireworks.

[0056] The material density reference value can be obtained by obtaining the conventional density value of the firework inner tube material from standard data.

[0057] The wall thickness value can be obtained by measuring with an ultrasonic thickness gauge, and the wall thickness can be calculated by the reflection time of the ultrasonic wave. It directly affects the mechanical strength and pressure resistance of the inner tube. The inner tube of the firework needs to have sufficient wall thickness to withstand the internal pressure, vibration and temperature changes. If the wall thickness is too thin, the inner tube is prone to rupture during the ignition process, causing the firework to lose control; if the wall thickness is too thick, it will increase the weight of the firework and affect performance.

[0058] Reference values ​​for wall thickness can be obtained from manufacturing standards. For example, the wall thickness of some fireworks inner tubes is specified to be 3 mm, 5 mm or thicker.

[0059] The hardness value of a material can be directly measured using a portable hardness tester (such as a Brinell hardness tester, Rockwell hardness tester or Vickers hardness tester). It is an indicator of the material's ability to resist local deformation, scratches and wear. Materials with higher hardness usually have stronger resistance to compression and scratches. For the inner tube of a firework, appropriate hardness can ensure that the inner tube will not be damaged by external impact or friction during the firing process. Materials with too high hardness may increase brittleness and affect the toughness of the inner tube; materials with too low hardness may cause damage or be not resistant to high temperatures.

[0060] The material hardness reference value can use the standard hardness value of the fireworks inner tube material as a reference value.

[0061] The surface roughness value can be measured by using a surface roughness measuring instrument (such as a profilometer, contact roughness meter, optical roughness meter). It refers to the microscopic unevenness of the material surface and is usually expressed by indicators such as Ra (arithmetic mean roughness) and Rz (ten-point average roughness).

[0062] Reference values ​​for surface roughness can be obtained from processing standards for relevant materials of fireworks inner tubes or from a production process specification manual.

[0063] Stored in the database , , , The specific calculation process is as follows: standardize the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the inner tube of the fireworks to be tested (i.e., remove the unit), and perform sum analysis after standardization to obtain the basic mass strength and value, and then perform ratio analysis on the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the inner tube of the fireworks to be tested after the standardized treatment with the basic mass strength and value, and the analysis result is the corresponding coefficient.

[0064] In this embodiment, by combining key physical parameters such as material density, wall thickness, material hardness, and surface roughness, the basic quality characteristics of the fireworks inner tube can be fully reflected. These factors are directly related to the important properties of the fireworks inner tube, such as the load-bearing capacity, durability, and pressure resistance, and help ensure the stability and safety of the fireworks inner tube during the firing process. The various parameters of the fireworks inner tube to be tested (such as density, wall thickness, hardness, and roughness) are standardized to eliminate the differences in units and ranges, so that the data have a unified comparison standard. This standardization step can eliminate the influence of different measuring equipment and measurement environments on the results, and improve the comparability and reliability of the data. The parameters of each measurement position point are analyzed by weighted analysis with the reference value and the corresponding coefficient, and the results obtained can more accurately reflect the actual influence of each parameter on the overall quality strength. For example, material density and hardness The contribution of different degrees to the inner tube strength may be different. Through the weighting coefficient, the influence of each parameter can be flexibly adjusted to ensure that the final basic quality strength index is more in line with actual needs. Through the reference values ​​and coefficients stored in the database, it can be adapted according to the material type and production standard of different fireworks inner tubes. Different types of inner tubes can adjust the coefficients according to specific material density, hardness and wall thickness requirements, making this method highly adaptable and able to handle fireworks inner tubes of different specifications and materials. The calculation process of the basic quality strength index provides a quantifiable standard for quality control in production. By obtaining accurate data at each measuring point and providing real-time feedback on the quality level of the fireworks inner tube, potential quality problems can be discovered in a timely manner, such as insufficient density and uneven wall thickness, and the production process can be adjusted and optimized to improve product consistency and safety.

[0065] Specifically, the specific steps for obtaining the mechanical strength index of the inner tube of the firework to be tested are as follows: obtain the surface temperature reference value, strain reference value, vibration frequency reference value, and surface smoothness reference value of the inner tube of the firework to be tested; comprehensively analyze the surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measuring position point of the inner tube of the firework to be tested in combination with the surface temperature reference value, strain reference value, vibration frequency reference value, and surface smoothness reference value of the inner tube of the firework to be tested to obtain the mechanical strength index of the inner tube of the firework to be tested.

[0066] The specific formula for calculating the mechanical strength index of the inner tube of the firework to be tested is as follows: ;in, is the mechanical strength index of the inner tube of the firework to be tested, For each of the fireworks inner tubes to be tested The surface temperature value of each measuring point, is the reference value of the surface temperature of the inner tube of the firework to be tested, is the surface temperature coefficient stored in the database, For each of the fireworks inner tubes to be tested The strain value of each measuring point, is the strain reference value of the inner tube of the firework to be tested, is the gauge factor stored in the database, For each of the fireworks inner tubes to be tested The vibration frequency value of each measuring point, is the reference value of the vibration frequency of the inner tube of the firework to be tested, is the vibration frequency coefficient stored in the database, For each of the fireworks inner tubes to be tested The surface smoothness value of each measuring position, is the reference value of the surface smoothness of the inner tube of the firework to be tested, is the surface smoothness coefficient stored in the database, , is a natural constant, and in this embodiment, its value is 2.71. =1, 2, 3, ..., , The number of measurement position points.

[0067] It should be explained that the surface temperature value can be measured and obtained through an infrared thermal imager or a thermocouple sensor. It refers to the temperature distribution on the surface of the inner tube of the firework during the firing process or under other working conditions.

[0068] Reference values ​​for surface temperature can be obtained from the material data sheet for the fireworks inner tube or through standard tests during production (such as thermal stability tests under different environments).

[0069] The strain value can be obtained through strain gauge measurement. It refers to the deformation per unit length of the material when it is subjected to external load or pressure. In the application of firework inner tubes, the strain value can evaluate the deformation capacity of the inner tube structure when it is subjected to internal and external pressures (such as shock waves generated by explosions, temperature changes, etc.). Excessive strain may mean that the inner tube structure has undergone permanent deformation or even lost its original strength.

[0070] The strain reference value can usually be determined by the constitutive model of the firework inner tube material (such as elastic modulus, yield stress, etc.) and the design specifications used.

[0071] The vibration frequency value can be measured and obtained by an accelerometer or vibration sensor. It refers to the vibration response frequency of the firework inner tube during the firing process or when it is subjected to external forces. The vibration frequency value can reflect the elastic properties of the firework inner tube material under dynamic loads. Too high a vibration frequency may cause fatigue damage to the inner tube material or even rupture. Accurately measuring the vibration frequency helps to determine the dynamic stability of the firework inner tube.

[0072] The vibration frequency reference value can be obtained through the natural frequency of the material, vibration modal analysis or vibration experiments such as the inner tube of fireworks, and the vibration analysis in the design stage can also provide a basis for the reference value.

[0073] The surface smoothness value can be measured by an optical surface smoothness meter, a laser scanning microscope or a profilometer. It refers to the smoothness of the microstructure of the material surface. A smooth surface can usually reduce friction, wear and heat accumulation, while materials with higher surface roughness will affect the strength of the inner tube of the fireworks, especially during the firing process. Rough surfaces are more likely to produce cracks or stress concentration. Surface smoothness will also affect the emission of airflow and smoke.

[0074] The reference value of surface smoothness can usually be obtained through the material processing technology standard, equipment accuracy, etc., and the smoothness standard can be obtained based on the material coating treatment, processing accuracy, etc.

[0075] Stored in the database , , , The specific calculation process is as follows: the surface temperature reference value, strain reference value, vibration frequency reference value, and surface smoothness reference value of the inner tube of the fireworks to be tested are standardized (i.e., unit removal), and summed up and analyzed after the standardization to obtain the mechanical strength and value, and then the surface temperature reference value, strain reference value, vibration frequency reference value, and surface smoothness reference value of the inner tube of the fireworks to be tested after the standardized treatment are ratio-analyzed with the mechanical strength and value, and the analysis result is the corresponding coefficient.

[0076] In this embodiment, through the comprehensive analysis of multiple mechanical performance parameters such as surface temperature, strain, vibration frequency and surface smoothness, it is possible to comprehensively evaluate the various mechanical stresses and loads that the inner tube of fireworks may withstand in actual use. These factors are crucial for evaluating the pressure resistance, fatigue resistance and overall stability of the inner tube of fireworks, ensuring the safety of the inner tube of fireworks under high temperature, high pressure and dynamic load. The use of advanced sensors and measuring equipment (such as infrared thermal imagers, strain gauges, accelerometers, etc.) can obtain high-precision data, avoiding the errors that may be caused by traditional measurement methods. This precise measurement can more accurately capture the changes in the inner tube of fireworks during the firing process. The response of the fireworks inner tube to changes in the process or external environment provides a reliable basis for the evaluation of mechanical strength. This method can monitor the changes in the mechanical properties of the fireworks inner tube under different environmental conditions in real time. For example, under high temperature, high vibration and other conditions, the strength of the inner tube may change. Real-time detection of the mechanical strength index helps to evaluate its performance under different working conditions and ensure its adaptability and stability. By standardizing parameters such as surface temperature, strain, and vibration frequency, we can better understand the design defects and potential problems of the fireworks inner tube. For example, too high a vibration frequency may indicate fatigue hazards in the design, and too large a strain value may mean that the inner tube structure is not strong enough. This helps to optimize the design and process during the production process and improve the mechanical properties and safety of the product. The evaluation of these mechanical properties helps to determine whether the inner tube of a firework is prone to rupture or deformation during the actual firing process. The calculation of the mechanical strength index can detect possible weaknesses in the inner tube early, reduce safety accidents caused by material fatigue, cracks, overheating or other mechanical problems, and ensure the stability and reliability of the fireworks during the firing process. By quantitatively analyzing and weighting various mechanical performance parameters (such as temperature, strain, vibration frequency and smoothness), they can be converted into operational coefficients. This quantitative analysis makes the calculation of the mechanical strength index more objective and scientific, and the standardized data is more consistent, which is convenient for comparison and trend analysis. Different firework inner tubes may use different materials or production processes. Using the reference values ​​and coefficients stored in the database, the calculation model can be adjusted according to the physical properties of different materials, making this method highly flexible and applicable to various types of firework inner tubes. During the production process, by real-time measurement and analysis of the mechanical strength index of the firework inner tube, the inner tube that does not meet the standard can be immediately found and adjusted. This provides strong support for quality control and can monitor and evaluate product quality in real time on the production line, thereby preventing unqualified products from entering the market.

[0077] See also Figure 3The embodiment of the present invention provides a technical solution: a fireworks inner tube quality inspection system for fireworks production, comprising: an image intelligent analysis module, a defect recognition module, an image quality intelligent judgment module, a comprehensive quality analysis module, and a comprehensive quality judgment module; the image intelligent analysis module is used to obtain image data of several image channels of the fireworks inner tube to be detected, and perform comprehensive analysis to obtain comprehensive image data of the fireworks inner tube to be detected, the image data is specifically the pixel value of each pixel point in the fireworks inner tube image, and the comprehensive image data is specifically the comprehensive pixel value of each pixel point in the comprehensive image of the fireworks inner tube; the defect recognition module is used to input the comprehensive image data of the fireworks inner tube to be detected into a pre-trained neural network model for defect recognition analysis, obtain several hole areas and several crack areas in the comprehensive image of the fireworks inner tube to be detected, and perform comprehensive analysis to obtain the image quality index of the fireworks inner tube to be detected; the image quality intelligent judgment module is used to judge whether the image quality index of the fireworks inner tube to be detected is within a preset image quality threshold range, and if If the image quality index of the firework inner tube to be detected is outside the preset image quality threshold range, the firework inner tube to be detected is marked as unqualified; a comprehensive quality analysis module is used to obtain physical feature data of the firework inner tube to be detected when the image quality index of the firework inner tube to be detected is within the preset image quality threshold range, and perform comprehensive analysis to obtain the comprehensive quality strength index of the firework inner tube to be detected, the physical feature data including the material density value, wall thickness value, material hardness value, surface roughness value, surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measurement position point; a comprehensive quality judgment module is used to judge whether the comprehensive quality strength index of the firework inner tube to be detected is within the preset comprehensive quality strength threshold range, if the comprehensive quality strength index of the firework inner tube to be detected is within the preset comprehensive quality strength threshold range, the firework inner tube to be detected is marked as qualified, if the comprehensive quality strength index of the firework inner tube to be detected is outside the preset comprehensive quality strength threshold range, the firework inner tube to be detected is marked as unqualified.

[0078] In summary, this application has at least the following effects: Not only is the appearance defect of the inner tube of fireworks analyzed, but the physical characteristics of the inner tube are also incorporated into the quality assessment system. Since traditional detection methods often only rely on visual inspection of surface defects or a single physical parameter, it is difficult to fully reflect the actual quality of the inner tube of fireworks. By combining image data with physical characteristic data, the quality of the inner tube of fireworks can be evaluated more comprehensively and accurately to ensure its safety and reliability during production, transportation and firing.

[0079] By combining image data with a variety of physical parameter data for comprehensive analysis, the accuracy of quality inspection can be significantly improved. In particular, image data combined with the defect recognition capability of deep learning models can automatically and efficiently detect small defects that may be difficult to identify using traditional manual inspection methods. Furthermore, the comprehensive analysis of physical feature data makes the inspection process more comprehensive, covering different performance indicators of firework inner tubes, improving the accuracy of quality assessment, and reducing missed inspections or misjudgments due to human factors or a single inspection method.

[0080] By integrating multiple modules such as image intelligent analysis, defect recognition, image quality judgment, and comprehensive quality analysis, a fully automated quality inspection process is achieved. The system can quickly obtain image data of the firework inner tube and identify defects in real time. It analyzes the holes and crack areas through a pre-trained neural network model, further calculates the image quality index and performs intelligent judgment to automatically determine whether the firework inner tube is qualified. In addition, the system also combines the analysis of physical feature data to perform a more detailed comprehensive quality strength assessment. This highly automated quality inspection system not only reduces manual intervention and improves production efficiency, but also provides real-time feedback on quality issues, shortens the inspection cycle, and ensures the continuous operation of the production line. Through automation and real-time optimization, it not only improves the overall production efficiency, but also greatly reduces the errors that may occur during manual inspection, ensuring the quality reliability of each firework inner tube, thereby improving the stability and safety of the production process.

[0081] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0082] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for detecting the quality of fireworks inner tubes used in fireworks production, characterized in that: The following steps are involved: Acquire image data of several image channels of the inner tube of the firework to be detected, and perform comprehensive analysis to obtain comprehensive image data of the inner tube of the firework to be detected, wherein the image data is specifically the pixel value of each pixel point in the image of the inner tube of the firework, and the comprehensive image data is specifically the comprehensive pixel value of each pixel point in the comprehensive image of the inner tube of the firework; Inputting the comprehensive image data of the firework inner tube to be inspected into the pre-trained neural network model for defect recognition analysis, obtaining a plurality of hole areas and a plurality of crack areas in the comprehensive image of the firework inner tube to be inspected, and performing comprehensive analysis to obtain the image quality index of the firework inner tube to be inspected; Determine whether the image quality index of the inner tube of the firework to be detected is within a preset image quality threshold range; If the image quality index of the firework inner tube to be detected is outside the preset image quality threshold range, the firework inner tube to be detected is marked as unqualified; If the image quality index of the firework inner tube to be detected is within the preset image quality threshold range, then the physical feature data of the firework inner tube to be detected is obtained, and a comprehensive analysis is performed to obtain the comprehensive quality strength index of the firework inner tube to be detected, wherein the physical feature data includes the material density value, wall thickness value, material hardness value, surface roughness value, surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measurement position point; Determine whether the comprehensive quality strength index of the firework inner tube to be tested is within a preset comprehensive quality strength threshold range; If the comprehensive quality strength index of the firework inner tube to be tested is within the preset comprehensive quality strength threshold range, the firework inner tube to be tested is marked as qualified; If the comprehensive quality strength index of the firework inner tube to be tested is outside the preset comprehensive quality strength threshold range, the firework inner tube to be tested will be marked as unqualified.

2. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 1, characterized in that: The specific formula for calculating the comprehensive pixel value of each pixel in the comprehensive image of the firework inner tube of the firework inner tube to be detected is as follows: ； in, is the first in the comprehensive image of the fireworks inner tube to be detected The comprehensive pixel value of each pixel, The first The image of the inner tube of the firework in the image channel The pixel value of a pixel, The first The image of the inner tube of the firework in the image channel The weighting coefficient of the pixel value of each pixel, =1, 2, 3, ..., , is the number of pixels, =1, 2, 3, ..., , is the number of image channels.

3. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 1, characterized in that: The neural network model is specifically a convolutional neural network model. The specific steps of obtaining a plurality of hole regions and a plurality of crack regions in the firework inner tube comprehensive image of the firework inner tube to be detected are as follows: Adjusting and processing the comprehensive image data of the inner tube of the fireworks to be inspected; The adjusted and processed comprehensive image data of the inner tube of the firework to be detected is converted into a tensor and input into a pre-trained convolutional neural network model for feature extraction; Defect recognition and classification processing is performed on the feature extraction results to obtain a number of hole areas and a number of crack areas in the comprehensive image of the firework inner tube of the firework inner tube to be detected.

4. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 1, characterized in that: The specific steps for obtaining the image quality index of the inner tube of the firework to be detected are as follows: Counting the number of pixels in each hole region and each crack region in the comprehensive image of the inner tube of the firework to be detected, and using them as the area value of each hole region and the area value of each crack region in the comprehensive image of the inner tube of the firework to be detected; Obtain the cross-sectional area value of the firework inner tube to be detected, and perform comprehensive analysis based on the area value of each hole region and the area value of each crack region in the firework inner tube comprehensive image of the firework inner tube to be detected, to obtain the image hole influence factor and the image crack influence factor of the firework inner tube to be detected; The reference bearing capacity value of the firework inner tube to be tested is obtained, and a comprehensive analysis is performed on the image hole influence factor and the image crack influence factor of the firework inner tube to be tested to obtain the image quality index of the firework inner tube to be tested.

5. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 4, characterized in that: The specific formulas for calculating the image hole impact factor, image crack impact factor, and image quality index of the inner tube of the firework to be detected are as follows: ； in, is the image hole impact factor of the inner tube of the firework to be detected, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The area value of the hole area, is the cross-sectional area of ​​the inner tube of the firework to be tested, is the image crack impact factor of the inner tube of the firework to be detected, =1, 2, 3, ..., , is the number of hole areas, is the crack influence coefficient stored in the database, is a natural constant, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The length of the crack area, is the first in the comprehensive image of the fireworks inner tube of the fireworks inner tube to be detected The area value of the crack region, =1, 2, 3, ..., , is the number of crack areas, is the image quality index of the inner tube of the firework to be detected, It is the reference load-bearing capacity value of the inner tube of the firework to be tested.

6. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 1, characterized in that: The specific steps for obtaining the comprehensive quality strength index of the inner tube of the firework to be tested are as follows: Read the physical characteristic data of the inner tube of the firework to be tested, and conduct a comprehensive analysis to obtain the basic quality strength index and mechanical strength index of the inner tube of the firework to be tested; Comprehensively analyze the basic quality strength index and mechanical strength index of the inner tube of the firework to be tested, and obtain the comprehensive quality strength index of the inner tube of the firework to be tested; The specific formula for calculating the comprehensive quality strength index of the inner tube of the firework to be tested is as follows: ； in, is the comprehensive quality strength index of the inner tube of the firework to be tested, is the basic quality strength index of the firework inner tube to be tested, is the basic quality coefficient stored in the database, is the mechanical strength index of the inner tube of the firework to be tested, is the mechanical strength coefficient stored in the database, , is a natural constant.

7. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 6, characterized in that: The specific steps for obtaining the basic quality strength index of the inner tube of the firework to be tested are as follows: Obtaining the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the inner tube of the firework to be tested; The material density value, wall thickness value, material hardness value, and surface roughness value of each measuring position point of the firework inner tube to be tested are combined with the material density reference value, wall thickness reference value, material hardness reference value, and surface roughness reference value of the firework inner tube to be tested for a comprehensive analysis to obtain the basic quality strength index of the firework inner tube to be tested.

8. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 7, characterized in that: The specific formula for calculating the basic mass strength index of the inner tube of the firework to be tested is as follows: ； in, is the basic quality strength index of the firework inner tube to be tested, For each of the fireworks inner tubes to be tested The material density value at each measuring point, The reference value of the material density of the inner tube of the firework to be tested, is the material density coefficient stored in the database, For each of the fireworks inner tubes to be tested The wall thickness value of each measuring point, The reference value of the wall thickness of the inner tube of the fireworks to be tested, is the wall thickness coefficient stored in the database, For each of the fireworks inner tubes to be tested The material hardness value at each measuring point, is the reference value of the material hardness of the inner tube of the firework to be tested, is the material hardness coefficient stored in the database, For each of the fireworks inner tubes to be tested The surface roughness value of each measuring point, is the reference value of the surface roughness of the inner tube of the firework to be tested, is the surface roughness coefficient stored in the database, , =1, 2, 3, ..., , The number of measurement position points.

9. The method for detecting the quality of fireworks inner tubes used in fireworks production according to claim 6, characterized in that: The specific steps for obtaining the mechanical strength index of the inner tube of the firework to be tested are as follows: Obtaining a reference value of surface temperature, a reference value of strain, a reference value of vibration frequency, and a reference value of surface smoothness of the inner tube of the firework to be tested; The surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measuring position of the inner tube of the firework to be tested are respectively combined with the surface temperature reference value, strain reference value, vibration frequency reference value, and surface smoothness reference value of the inner tube of the firework to be tested to obtain the mechanical strength index of the inner tube of the firework to be tested; The specific formula for calculating the mechanical strength index of the inner tube of the firework to be tested is as follows: ； in, is the mechanical strength index of the inner tube of the firework to be tested, For each of the fireworks inner tubes to be tested The surface temperature value of each measuring point, is the reference value of the surface temperature of the inner tube of the firework to be tested, is the surface temperature coefficient stored in the database, For each of the fireworks inner tubes to be tested The strain value of each measuring point, is the strain reference value of the inner tube of the firework to be tested, is the gauge factor stored in the database, For each of the fireworks inner tubes to be tested The vibration frequency value of each measuring point, is the reference value of the vibration frequency of the inner tube of the firework to be tested, is the vibration frequency coefficient stored in the database, For each of the fireworks inner tubes to be tested The surface smoothness value of each measuring position, is the reference value of the surface smoothness of the inner tube of the firework to be tested, is the surface smoothness coefficient stored in the database, , is a natural constant, =1, 2, 3, ..., , The number of measurement position points.

10. A fireworks inner tube quality inspection system for fireworks production, using the fireworks inner tube quality inspection method for fireworks production according to any one of claims 1 to 9, characterized in that: include: Image intelligent analysis module, defect recognition module, image quality intelligent judgment module, comprehensive quality analysis module, comprehensive quality judgment module; The image intelligent analysis module is used to obtain image data of several image channels of the firework inner tube to be detected, and perform comprehensive analysis to obtain comprehensive image data of the firework inner tube to be detected, wherein the image data is specifically the pixel value of each pixel point in the firework inner tube image, and the comprehensive image data is specifically the comprehensive pixel value of each pixel point in the comprehensive image of the firework inner tube; The defect recognition module is used to input the comprehensive image data of the firework inner tube to be detected into the pre-trained neural network model for defect recognition analysis, obtain a plurality of hole areas and a plurality of crack areas in the comprehensive image of the firework inner tube to be detected, and perform comprehensive analysis to obtain the image quality index of the firework inner tube to be detected; The image quality intelligent judgment module is used to judge whether the image quality index of the firework inner tube to be detected is within a preset image quality threshold range, and if the image quality index of the firework inner tube to be detected is outside the preset image quality threshold range, the firework inner tube to be detected is marked as unqualified; The comprehensive quality analysis module is used to obtain the physical characteristic data of the firework inner tube to be detected when the image quality index of the firework inner tube to be detected is within a preset image quality threshold range, and perform comprehensive analysis to obtain the comprehensive quality strength index of the firework inner tube to be detected, wherein the physical characteristic data includes the material density value, wall thickness value, material hardness value, surface roughness value, surface temperature value, strain value, vibration frequency value, and surface smoothness value of each measurement position point; The comprehensive quality judgment module is used to judge whether the comprehensive quality strength index of the firework inner tube to be tested is within a preset comprehensive quality strength threshold range. If the comprehensive quality strength index of the firework inner tube to be tested is within the preset comprehensive quality strength threshold range, the firework inner tube to be tested is marked as qualified; if the comprehensive quality strength index of the firework inner tube to be tested is outside the preset comprehensive quality strength threshold range, the firework inner tube to be tested is marked as unqualified.

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