Temperature balance control method and system for Langhong porcelain firing flat flame kiln

Abstract

The invention relates to the technical field of porcelain firing, and relates to a temperature balance control method and system for a Langhong porcelain firing flat flame kiln, and the method comprises the steps: carrying out the image collection and size measurement of a glazed porcelain blank, and obtaining a porcelain blank image set and porcelain blank size parameters; performing image correction and glaze layer analysis on the porcelain blank image set in sequence to obtain porcelain blank glazing parameters; carrying out firing temperature analysis on the glazed porcelain blank according to the porcelain blank glazing parameters and the porcelain blank size parameters to obtain a balanced firing temperature group, and carrying out real-time data acquisition on a flat flame kiln for firing the glazed porcelain blank to obtain a sensing parameter sequence; performing time sequence feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analysis firing temperature group; and generating a difference value temperature group according to the analysis firing temperature group and the balanced firing temperature group, and regulating and controlling the temperature of the flat flame kiln according to the difference value temperature group. According to the invention, the firing efficiency of the Langhong porcelain can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of porcelain firing, and in particular to a temperature balance control method and system for a flat flame kiln for firing Langhong porcelain. Background Art

[0002] Langhong porcelain, also known as Langyao red, is characterized by its brilliant colors, bright red, and strong glassy luster. The production process of this porcelain is extremely complicated. It uses copper as the coloring material and needs to be fired at a high temperature of more than 1300°C. Since the copper element is extremely volatile at high temperatures, the color rendering range is limited, and the technical indexes such as the firing temperature are very high, so firing is extremely difficult.

[0003] Most of the existing Langhong porcelains are fired in flat-flame kilns. Flat-flame kilns are kilns in which the flame flow direction is nearly horizontal and the flames inside the kiln tend to flow in parallel. This feature gives the flat-flame kiln the advantages of fast heating up and short firing time, which is conducive to increasing production. However, in actual applications, due to the fast heating up speed of the flat-flame kiln, large temperature fluctuations may occur, which may result in poor quality of the glaze layer of the Langhong porcelain after firing. In addition, the optimal firing temperatures of Langhong porcelains of different sizes and thicknesses are different, which may lead to lower efficiency when firing the Langhong porcelain. Summary of the invention

[0004] The present invention provides a temperature balance control method and system for a flat flame kiln for firing Langhong porcelain, the main purpose of which is to solve the problem of low efficiency when firing Langhong porcelain.

[0005] To achieve the above object, the present invention provides a temperature balance control method for a flat flame kiln for firing Langhong porcelain, comprising:

[0006] The images of the glazed porcelain embryos are collected and the dimensions are measured respectively to obtain porcelain embryo atlas and porcelain embryo dimension parameters;

[0007] The porcelain embryo atlas is sequentially subjected to image correction and glaze layer analysis to obtain porcelain embryo glazing parameters, wherein the step of sequentially subjected to image correction and glaze layer analysis to obtain porcelain embryo glazing parameters comprises: performing multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas; selecting images in the corrected porcelain embryo atlas one by one as target correction images, and decomposing the target correction images into a chromaticity space image and a brightness space image; and calculating the equalized brightness level of the brightness space image using the following equalization algorithm:

[0008]

[0009] Wherein, k' refers to the k-th brightness level in the equilibrium brightness levels, round is the rounding symbol, W is the width of the target corrected image, H is the length of the target corrected image, · is the dot product symbol, i is the brightness level index, k is the k-th brightness level in the initial brightness levels of the brightness space image, h(i) is the total number of pixels with the brightness level i in the brightness space image, C min is the first non-zero brightness level in the brightness space image, L is the maximum value of the brightness levels in the initial brightness levels of the brightness space image; perform brightness equalization operation on the brightness space image according to the equilibrium brightness levels to obtain an equalized brightness image; merge the chrominance space image and the equalized brightness image channels into an equalized corrected image, and gather the equalized corrected images of all the target corrected images in the corrected porcelain embryo atlas into an equalized porcelain embryo atlas; perform glaze layer analysis on the equalized porcelain embryo atlas to obtain porcelain embryo glazing parameters;

[0010] Perform firing temperature analysis on the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain an equilibrium firing temperature group, and perform real-time data acquisition on the flat-flame kiln for firing the glazed porcelain embryo to obtain a sensing parameter sequence;

[0011] Perform time series feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analyzed firing temperature group;

[0012] Generate a difference temperature group according to the analyzed firing temperature group and the equilibrium firing temperature group, and perform temperature regulation on the flat-flame kiln according to the difference temperature group.

[0013] Optionally, the respectively performing image acquisition and size measurement on the glazed porcelain embryo to obtain a porcelain embryo atlas and porcelain embryo size parameters includes:

[0014] Perform multi-camera image acquisition on the glazed porcelain embryo to obtain a porcelain embryo atlas;

[0015] Perform contour extraction on the porcelain embryo atlas to obtain a porcelain embryo contour set;

[0016] Perform ultrasonic size measurement on the glazed porcelain embryo to obtain primary size parameters;

[0017] Perform scale scaling and image size measurement on the porcelain embryo contour set to obtain secondary size parameters;

[0018] Generate porcelain embryo size parameters according to the primary size parameters and the secondary size parameters.

[0019] Optionally, the performing multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas includes:

[0020] Perform Gaussian denoising on the porcelain embryo atlas to obtain a denoised porcelain embryo atlas;

[0021] Perform edge enhancement on the denoised porcelain embryo atlas to obtain an enhanced porcelain embryo atlas;

[0022] Perform white balance correction on the enhanced porcelain embryo atlas to obtain a balanced porcelain embryo atlas;

[0023] Perform color correction on the balanced porcelain embryo atlas to obtain a corrected porcelain embryo atlas.

[0024] Optionally, perform glaze layer analysis on the balanced porcelain embryo atlas to obtain porcelain embryo glazing parameters, including:

[0025] Perform color space conversion and color feature extraction on the balanced porcelain embryo atlas to obtain porcelain embryo color features;

[0026] Use the following texture extraction algorithm to perform texture filtering on the balanced porcelain embryo atlas to obtain porcelain embryo texture features:

[0027]

[0028] where, G j (x,y) is the porcelain embryo texture feature of the pixel point with pixel coordinates (x,y) in the j-th balanced porcelain embryo image in the balanced porcelain embryo atlas, x is the pixel abscissa, y is the pixel ordinate, exp is the exponential function symbol, cos is the cosine function symbol, sin is the sine function symbol, θ is the preset filtering direction, σ s is the standard deviation of the Gaussian kernel of the texture extraction algorithm, a is the image length of the j-th balanced porcelain embryo image in the balanced porcelain embryo atlas, b is the image width of the j-th balanced porcelain embryo image in the balanced porcelain embryo atlas, π is the symbol of pi, α is the preset filtering length, and β is the preset phase shift;

[0029] Perform highlight detection and gloss evaluation on the balanced porcelain embryo atlas to obtain porcelain embryo gloss features;

[0030] Perform feature fusion on the porcelain embryo color features, the porcelain embryo texture features, and the porcelain embryo gloss features to obtain porcelain embryo glaze layer features;

[0031] Perform kernel function mapping on the porcelain embryo glaze layer features to obtain porcelain embryo glazing parameters.

[0032] Optionally, perform firing temperature analysis on the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain a balanced firing temperature group, including:

[0033] Generate a porcelain embryo parameter group according to the porcelain embryo glazing parameters and the porcelain embryo size parameters;

[0034] Perform data standardization and data matrixization on the porcelain embryo parameter group to obtain a porcelain embryo parameter matrix;

[0035] Calculate the covariance parameter matrix of the porcelain embryo parameter matrix;

[0036] Perform singular value decomposition on the covariance parameter matrix to obtain porcelain embryo eigenvalues and porcelain embryo eigenvectors;

[0037] Select standard porcelain embryo vectors from the porcelain embryo eigenvectors according to the porcelain embryo eigenvalues;

[0038] Use the standard porcelain embryo vectors to perform data dimensionality reduction mapping on the porcelain embryo parameter matrix to obtain porcelain embryo parameter features;

[0039] Perform temperature mapping on the porcelain embryo parameter features to obtain an equilibrium firing temperature group.

[0040] Optionally, the performing time series feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analysis firing temperature group includes:

[0041] Split the sensing parameter sequence into a sensing temperature group sequence and a sensing environment parameter sequence;

[0042] Train a preset environmental temperature model into a temperature analysis model according to the sensing environment parameter sequence and the sensing temperature group sequence;

[0043] Perform time series feature extraction on the sensing parameter sequence to obtain sensing time series features;

[0044] Perform fully connected mapping on the sensing time series features to obtain analysis sensing parameters;

[0045] Split the analysis sensing parameters into an analysis sensing temperature group and analysis environment parameters;

[0046] Calculate an analysis model temperature group corresponding to the analysis environment parameters according to the temperature analysis model;

[0047] Perform weighted averaging on the analysis model temperature group and the analysis sensing temperature group to obtain an analysis firing temperature group.

[0048] Optionally, the performing time series feature extraction on the sensing parameter sequence to obtain sensing time series features includes:

[0049] Perform long-term time series feature extraction on the sensing parameter sequence to obtain long-term sensing time series features;

[0050] Perform short-term time series feature extraction on the sensing parameter sequence to obtain short-term sensing time series features;

[0051] Perform attention encoding on the sequence of sensing parameters to obtain attention sensing time series features;

[0052] Fuse the long-term sensing time series features and the short-term sensing time series features into long and short sensing time series features;

[0053] Fuse the attention sensing time series features and the long and short sensing time series features into sensing time series features.

[0054] Optionally, the generating a difference temperature group according to the analysis firing temperature group and the balanced firing temperature group includes:

[0055] Select each analysis firing temperature in the analysis firing temperature group as a target analysis temperature, and use the balanced firing temperature corresponding to the target analysis temperature in the balanced firing temperature group as a target balanced temperature;

[0056] Subtract the target analysis temperature from the target balanced temperature to obtain a target difference temperature;

[0057] Collect the target difference temperatures corresponding to the target analysis temperatures in the analysis firing temperature group into a difference temperature group.

[0058] Optionally, the temperature regulation of the horizontal flame kiln according to the difference temperature group includes:

[0059] Obtain the kiln body structure model of the horizontal flame kiln;

[0060] Perform temperature annotation on the kiln body structure model according to the difference temperature group to obtain a temperature difference structure model;

[0061] Extract temperature difference structure features from the temperature difference structure model;

[0062] Perform thermodynamic simulation on the temperature difference structure features to obtain the oxygen intake and the carbon addition amount;

[0063] Perform temperature regulation on the horizontal flame kiln according to the oxygen intake and the carbon addition amount.

[0064] To solve the above problems, the present invention also provides a temperature equalization control system for a horizontal flame kiln for firing Langhong porcelain, and the system includes:

[0065] A data acquisition module, configured to perform image acquisition and size measurement on the glazed porcelain embryo respectively to obtain a porcelain embryo atlas and porcelain embryo size parameters;

[0066] The glaze layer analysis module is used to perform image correction and glaze layer analysis on the porcelain embryo atlas in sequence to obtain the porcelain embryo glazing parameters. Among them, the sequence of performing image correction and glaze layer analysis on the porcelain embryo atlas to obtain the porcelain embryo glazing parameters includes: performing multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas; selecting each image in the corrected porcelain embryo atlas as a target corrected image, and decomposing the target corrected image into a chromaticity space image and a brightness space image; calculating the equalized brightness level of the brightness space image by using the following equalization algorithm:

[0067]

[0068] where k' refers to the k-th brightness level in the equalized brightness level, round is the rounding symbol, W is the width of the target corrected image, H is the length of the target corrected image, · is the dot product symbol, i is the brightness level index, k is the k-th brightness level in the initial brightness level of the brightness space image, h(i) is the total number of pixels with the brightness level i in the brightness space image, C min is the first non-zero brightness level in the brightness space image, L is the maximum value of the brightness levels in the initial brightness level of the brightness space image; performing brightness equalization operation on the brightness space image according to the equalized brightness level to obtain an equalized brightness image; merging the chromaticity space image and the equalized brightness image channels into an equalized corrected image, and aggregating the equalized corrected images of all the target corrected images in the corrected porcelain embryo atlas into an equalized porcelain embryo atlas; performing glaze layer analysis on the equalized porcelain embryo atlas to obtain the porcelain embryo glazing parameters;

[0069] The temperature analysis module is used to perform firing temperature analysis on the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain an equalized firing temperature group, and perform real-time data collection on the horizontal flame kiln for firing the glazed porcelain embryo to obtain a sensing parameter sequence;

[0070] The timing analysis module is used to perform timing feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analyzed firing temperature group;

[0071] The temperature control module is used to generate a differential temperature group according to the analyzed firing temperature group and the equalized firing temperature group, and perform temperature control on the horizontal flame kiln according to the differential temperature group.

[0072] In the embodiments of the present invention, by obtaining a porcelain embryo atlas and porcelain embryo size parameters, it is convenient to analyze the glaze layer parameters of the porcelain embryo subsequently, and calculate the optimal firing temperature in combination with the porcelain embryo size parameters, thereby improving the firing efficiency of Langhong porcelain. Through image correction and glaze layer analysis, the thickness, type, and uniform distribution degree of the glaze layer can be analyzed based on the image of the glazed porcelain embryo, thus facilitating the determination of the optimal firing temperature of Langhong porcelain. Through firing temperature analysis, the optimal firing temperature for the glazed porcelain embryo can be determined, thereby improving the quality of the fired Langhong porcelain. Through real-time data collection, the internal and external environment data of the horizontal flame kiln can be grasped in real time, thus facilitating the analysis of the temperature change trend of the horizontal flame kiln.

[0073] Through time series feature extraction and temperature trend analysis, the temperature of the horizontal flame kiln can be analyzed by combining the time series features of temperature changes and the influence trend of environmental parameter changes on the temperature of the horizontal flame kiln, thereby improving the accuracy of predicting the temperature change of the horizontal flame kiln in the future time period. By generating a differential temperature group, the gap between the target firing temperature and the existing temperature can be calculated. Through temperature control, the oxygen intake and carbon addition amount of the horizontal flame kiln can be dynamically controlled according to the temperature difference in combination with the thermodynamic model, thereby achieving the purpose of temperature control and improving the efficiency of temperature control of the horizontal flame kiln and the firing efficiency of Langhong porcelain. Therefore, the temperature equilibrium control method and system for the horizontal flame kiln in the firing of Langhong porcelain proposed by the present invention can solve the problem of low efficiency in firing Langhong porcelain. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is a schematic flowchart of the temperature equilibrium control method for the horizontal flame kiln in the firing of Langhong porcelain provided by an embodiment of the present invention;

[0075] Figure 2 It is a schematic flowchart of obtaining a porcelain embryo atlas and porcelain embryo size parameters provided by an embodiment of the present invention;

[0076] Figure 3 It is a schematic flowchart of temperature control provided by an embodiment of the present invention;

[0077] Figure 4 It is a functional module diagram of the temperature equilibrium control system for the horizontal flame kiln in the firing of Langhong porcelain provided by an embodiment of the present invention;

[0078] The realization, functional features, and advantages of the purpose of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0079] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0080] An embodiment of the present application provides a method for temperature equilibrium control of a flat-flame kiln for firing Langhong porcelain. The execution subject of the method for temperature equilibrium control of the flat-flame kiln for firing Langhong porcelain includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for temperature equilibrium control of the flat-flame kiln for firing Langhong porcelain can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0081] Refer to Figure 1 As shown, it is a schematic flowchart of the method for temperature equilibrium control of a flat-flame kiln for firing Langhong porcelain provided by an embodiment of the present invention. In this embodiment, the method for temperature equilibrium control of the flat-flame kiln for firing Langhong porcelain includes:

[0082] S1. Respectively perform image acquisition and size measurement on the glazed porcelain embryo to obtain a porcelain embryo atlas and porcelain embryo size parameters.

[0083] Specifically, the glazed porcelain embryo refers to the porcelain embryo of Langhong porcelain that has been glazed. The firing process of Langhong porcelain is divided into three processes: preparing the porcelain embryo, glazing the porcelain embryo, and firing the glazed porcelain embryo. The glazed porcelain embryo is the porcelain embryo after glazing the porcelain embryo.

[0084] Specifically, the porcelain embryo atlas is an atlas composed of images of the glazed porcelain embryo from multiple angles, and the porcelain embryo size parameters include size parameters such as the length, width, height, etc. of the porcelain embryo and parameters such as the thickness distribution of the porcelain embryo.

[0085] In an embodiment of the present invention, refer to Figure 2 As shown, the step of respectively performing image acquisition and size measurement on the glazed porcelain embryo to obtain a porcelain embryo atlas and porcelain embryo size parameters includes:

[0086] S21. Perform multi-camera image acquisition on the glazed porcelain embryo to obtain a porcelain embryo atlas;

[0087] S22. Extract the contour of the porcelain embryo atlas to obtain a porcelain embryo contour set;

[0088] S23. Perform ultrasonic size measurement on the glazed porcelain embryo to obtain primary size parameters;

[0089] S24. Scale the porcelain embryo contour set and measure the image size to obtain secondary size parameters;

[0090] S25. Generate porcelain embryo size parameters according to the primary size parameters and the secondary size parameters.

[0091] Specifically, the multi-camera image acquisition refers to using cameras to acquire images of the glazed porcelain embryo from multiple camera angles in an environment with uniform illumination. For example, taking frontal pictures of the glazed porcelain embryo in a surrounding manner and taking a top view of the glazed porcelain embryo directly above it.

[0092] Specifically, the canny operator or sobel operator can be used for contour extraction. The ultrasonic size measurement refers to using an ultrasonic measuring device to measure size parameters such as the thickness of the glazed porcelain embryo. The ultrasonic measuring device sends ultrasonic pulses to the glazed porcelain embryo and calculates the flight time of the reflection and echo to calculate the size parameters.

[0093] Specifically, the scale scaling refers to scaling each porcelain embryo contour in the porcelain embryo contour set according to the scale between the pixel size and the actual size of the porcelain embryo atlas, and extracting size parameters such as the length, width, and height of the porcelain embryo from the scaled porcelain embryo contours. The porcelain embryo size parameters are the weighted average parameters of the primary size parameters and the secondary primary size parameters.

[0094] In the embodiment of the present invention, by obtaining the porcelain embryo atlas and the porcelain embryo size parameters, it is convenient to analyze the glaze layer parameters of the porcelain embryo subsequently, and calculate the optimal firing temperature in combination with the porcelain embryo size parameters, thereby improving the firing efficiency of Langhong porcelain.

[0095] S2. Perform image correction and glaze layer analysis on the porcelain embryo atlas in sequence to obtain porcelain embryo glazing parameters.

[0096] Specifically, the porcelain embryo glazing parameters include parameters such as the thickness parameter of the glaze layer on the glazed porcelain embryo, the type of glaze layer, and the degree of uniformity of distribution.

[0097] In the embodiment of the present invention, the sequence of performing image correction and glaze layer analysis on the porcelain embryo atlas to obtain porcelain embryo glazing parameters includes:

[0098] Perform multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas;

[0099] Select each image in the corrected porcelain embryo atlas as a target corrected image, and decompose the target corrected image into a chromaticity space image and a luminance space image;

[0100] Obtain the equalized luminance level of the luminance space image calculated by using the following equalization algorithm:

[0101]

[0102] Among them, k' refers to the k-th brightness level in the equilibrium brightness levels, round is the rounding symbol, W is the width of the target corrected image, H is the length of the target corrected image, · is the dot product symbol, i is the brightness level index, k is the k-th brightness level in the initial brightness levels of the brightness space image, h(i) is the total number of pixels with the brightness level i in the brightness space image, C min is the first non-zero brightness level in the brightness space image, and L is the maximum value of the brightness levels in the initial brightness levels of the brightness space image;

[0103] Perform a brightness equalization operation on the brightness space image according to the equilibrium brightness levels to obtain an equalized brightness image;

[0104] Merge the chrominance space image and the equalized brightness image channels into an equalized corrected image, and gather the equalized corrected images of all the target corrected images in the corrected porcelain embryo atlas into an equalized porcelain embryo atlas;

[0105] Perform glaze layer analysis on the equalized porcelain embryo atlas to obtain porcelain embryo glazing parameters.

[0106] Specifically, the multi-dimensional image correction of the porcelain embryo atlas to obtain a corrected porcelain embryo atlas includes:

[0107] Perform Gaussian denoising on the porcelain embryo atlas to obtain a denoised porcelain embryo atlas;

[0108] Perform edge enhancement operation on the denoised porcelain embryo atlas to obtain an enhanced porcelain embryo atlas;

[0109] Perform white balance correction on the enhanced porcelain embryo atlas to obtain a balanced porcelain embryo atlas;

[0110] Perform color correction on the balanced porcelain embryo atlas to obtain a corrected porcelain embryo atlas;

[0111] Specifically, the white balance correction can be carried out in the way of the gray world assumption. The white balance correction can eliminate the color deviation caused by different light sources in the image and make the color of the image more natural. The balanced porcelain embryo atlas can be mapped to a preset color space to achieve color correction, that is, the balanced porcelain embryo atlas is mapped from the RGB space to the Lab color space, and then the mapped balanced porcelain embryo atlas is color-corrected by using a color correction matrix, and then converted back to the RGB space.

[0112] Specifically, the chromaticity space image refers to the image after the target correction image is converted into the chromaticity space, and the luminance space image refers to the image after the target correction image is converted into the luminance space.

[0113] Specifically, the equalization algorithm can achieve equalized luminance mapping according to the luminance levels of the luminance space image, thereby improving the dynamic range of the image, making the dark parts of the image darker and the bright parts brighter. The luminance equalization operation refers to performing luminance mapping on the luminance space image using the equalized luminance levels, and the Laplacian operator can be used for edge enhancement operations.

[0114] Specifically, performing glaze layer analysis on the equalized porcelain embryo atlas to obtain porcelain embryo glazing parameters, including:

[0115] Performing color space conversion and color feature extraction on the equalized porcelain embryo atlas to obtain porcelain embryo color features;

[0116] Performing texture filtering on the equalized porcelain embryo atlas using the following texture extraction algorithm to obtain porcelain embryo texture features:

[0117]

[0118] where, G j (x, y) is the porcelain embryo texture feature of the pixel point with pixel coordinates (x, y) in the j-th equalized porcelain embryo image in the equalized porcelain embryo atlas, x is the pixel abscissa, y is the pixel ordinate, exp is the exponential function symbol, cos is the cosine function symbol, sin is the sine function symbol, θ is the preset filtering direction, σ s is the Gaussian kernel standard deviation of the texture extraction algorithm, a is the image length of the j-th equalized porcelain embryo image in the equalized porcelain embryo atlas, b is the image width of the j-th equalized porcelain embryo image in the equalized porcelain embryo atlas, π is the symbol of pi, α is the preset filtering length, and β is the preset phase shift;

[0119] Performing highlight detection and gloss evaluation on the equalized porcelain embryo atlas to obtain porcelain embryo gloss features;

[0120] Fusing the porcelain embryo color features, the porcelain embryo texture features, and the porcelain embryo gloss features to obtain porcelain embryo glaze layer features;

[0121] Performing kernel function mapping on the porcelain embryo glaze layer features to obtain porcelain embryo glazing parameters.

[0122] Specifically, the color space conversion refers to mapping the balanced porcelain embryo atlas to the HSV color space or the Lab color space. The color feature extraction refers to extracting the color distribution features of the image after color space conversion. The texture extraction algorithm can capture the glaze color features in different directions and scales, thereby improving the accuracy of glaze layer analysis.

[0123] In detail, the highlight detection can be performed by using the method of luminance threshold segmentation, that is, taking the part exceeding the preset luminance threshold in each balanced porcelain embryo image in the balanced porcelain embryo atlas as the highlight area. The glossiness evaluation refers to calculating the proportion of the size of the highlight area in the corresponding balanced porcelain embryo image to calculate the glossiness.

[0124] Specifically, the kernel function mapping refers to using the kernel function of a support vector machine model (Support Vector Machine, abbreviated as SVM) trained with a large number of porcelain embryo glaze layer features labeled with porcelain embryo glazing parameters. The kernel function can be a radial basis kernel function.

[0125] In the embodiment of the present invention, through image correction and glaze layer analysis, the thickness, type, and distribution uniformity of the glaze layer can be analyzed based on the image of the glazed porcelain embryo, so as to conveniently determine the optimal firing temperature for firing Langhong porcelain.

[0126] S3. Analyze the firing temperature of the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain a set of balanced firing temperatures, and collect real-time data of the horizontal flame kiln firing the glazed porcelain embryo to obtain a sequence of sensing parameters.

[0127] In detail, the set of balanced firing temperatures refers to a data set of the optimal firing temperatures at various positions inside the horizontal flame kiln during the process of firing the glazed porcelain embryo using the horizontal flame kiln.

[0128] In the embodiment of the present invention, the analysis of the firing temperature of the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain a set of balanced firing temperatures includes:

[0129] Generate a set of porcelain embryo parameters according to the porcelain embryo glazing parameters and the porcelain embryo size parameters;

[0130] Perform data standardization and data matrixization on the set of porcelain embryo parameters to obtain a porcelain embryo parameter matrix;

[0131] Calculate the covariance parameter matrix of the porcelain embryo parameter matrix;

[0132] Perform singular value decomposition on the covariance parameter matrix to obtain porcelain embryo eigenvalues and porcelain embryo eigenvectors;

[0133] Select a standard porcelain embryo vector from the porcelain embryo feature vectors according to the porcelain embryo feature values;

[0134] Perform data dimensionality reduction mapping on the porcelain embryo parameter matrix using the standard porcelain embryo vector to obtain porcelain embryo parameter features;

[0135] Perform temperature mapping on the porcelain embryo parameter features to obtain an equilibrium firing temperature group.

[0136] Specifically, the porcelain embryo parameter group is composed of the porcelain embryo glazing parameters and the porcelain embryo size parameters in a specific order, and the data standardization refers to adjusting the porcelain embryo parameter group to a form with a mean of 0 and a variance of 1.

[0137] Specifically, the standard porcelain embryo vector is composed of several feature vectors with larger porcelain embryo feature values in the porcelain embryo feature vectors, and the temperature mapping refers to performing mapping using a neural network model trained with a large number of porcelain embryo parameter features labeled with firing temperature groups.

[0138] Specifically, the real-time data acquisition of the horizontal-flame kiln for firing the glazed porcelain embryo refers to using multiple groups of sensors configured at different positions of the horizontal-flame kiln to collect the temperature, humidity, and pressure sensing data of the horizontal-flame kiln in real time, and sorting all the obtained sensing parameters into a sensing parameter sequence according to time series.

[0139] In the embodiment of the present invention, through the firing temperature analysis, the optimal firing temperature for the glazed porcelain embryo can be determined, thereby improving the firing quality of Langhong porcelain. Through the real-time data acquisition, the internal and external environment data of the horizontal-flame kiln can be grasped in real time, thereby facilitating the analysis of the temperature change trend of the horizontal-flame kiln.

[0140] S4. Perform time series feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analyzed firing temperature group.

[0141] Specifically, the analyzed firing temperature group refers to the temperature data group in the horizontal-flame kiln in the future time period obtained through analysis.

[0142] In the embodiment of the present invention, the performing time series feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analyzed firing temperature group includes:

[0143] Split the sensing parameter sequence into a sensing temperature group sequence and a sensing environment parameter sequence;

[0144] Train a preset environmental temperature model into a temperature analysis model according to the sensing environment parameter sequence and the sensing temperature group sequence;

[0145] Perform time series feature extraction on the sensing parameter sequence to obtain sensing time series features;

[0146] Perform a fully connected mapping on the sensing timing characteristics to obtain analyzed sensing parameters;

[0147] Split the analyzed sensing parameters into an analyzed sensing temperature group and analyzed environmental parameters;

[0148] Calculate the analyzed model temperature group corresponding to the analyzed environmental parameters according to the temperature analysis model;

[0149] Perform a weighted average on the analyzed model temperature group and the analyzed sensing temperature group to obtain an analyzed firing temperature group.

[0150] Specifically, each sensing temperature group in the sensing temperature group sequence is a temperature data group in the horizontal flame kiln among the respective sensing parameters in the sensing parameter sequence, each sensing environmental parameter in the sensing environmental parameter sequence is a parameter such as air pressure and humidity among the respective sensing parameters in the sensing parameter sequence, and the environmental temperature model can be a neural network model with the sensing environmental parameters as the input and the sensing temperature group as the output.

[0151] Specifically, the extraction of the timing characteristics from the sensing parameter sequence to obtain sensing timing characteristics includes:

[0152] Extract long-term sensing timing characteristics from the sensing parameter sequence;

[0153] Extract short-term sensing timing characteristics from the sensing parameter sequence;

[0154] Perform attention encoding on the sensing parameter sequence to obtain attention sensing timing characteristics;

[0155] Fuse the long-term sensing timing characteristics and the short-term sensing timing characteristics into long and short sensing timing characteristics;

[0156] Fuse the attention sensing timing characteristics and the long and short sensing timing characteristics into sensing timing characteristics.

[0157] Specifically, the long-term sensing timing characteristics can be extracted by using the cell state in the gate structure of a pre-trained Long Short Term Memory (LSTM) network, and the short-term sensing timing characteristics can be extracted by using the hidden state in the gate structure.

[0158] Specifically, attention encoding can be performed using the self-attention mechanism, and a fully connected network can be used to fuse the long-term sensing timing characteristics and the short-term sensing timing characteristics into long and short sensing timing characteristics and to fuse the attention sensing timing characteristics and the long and short sensing timing characteristics into sensing timing characteristics.

[0159] In the embodiments of the present invention, by performing timing feature extraction and temperature trend analysis, it is possible to analyze the temperature of the flat flame kiln by combining the timing features of temperature changes and the influence trend of environmental parameter changes on the temperature of the flat flame kiln, thereby improving the accuracy of predicting the temperature changes in the future time period of the flat flame kiln.

[0160] S5. Generate a difference temperature group according to the analyzed firing temperature group and the balanced firing temperature group, and perform temperature regulation on the flat flame kiln according to the difference temperature group.

[0161] Specifically, the difference temperature group is the temperature difference corresponding to each temperature value between the analyzed firing temperature group and the balanced firing temperature group.

[0162] In the embodiments of the present invention, the generating the difference temperature group according to the analyzed firing temperature group and the balanced firing temperature group includes:

[0163] Select the analyzed firing temperature in the analyzed firing temperature group one by one as the target analyzed temperature, and use the balanced firing temperature corresponding to the target analyzed temperature in the balanced firing temperature group as the target balanced temperature;

[0164] Subtract the target analyzed temperature from the target balanced temperature to obtain the target difference temperature;

[0165] Collect the target difference temperatures corresponding to the target analyzed temperatures in the analyzed firing temperature group into a difference temperature group.

[0166] Specifically, referring to Figure 3 As shown, the performing temperature regulation on the flat flame kiln according to the difference temperature group includes:

[0167] S31. Obtain the kiln body structure model of the flat flame kiln;

[0168] S32. Perform temperature marking on the kiln body structure model according to the difference temperature group to obtain a temperature difference structure model;

[0169] S33. Extract the temperature difference structure features from the temperature difference structure model;

[0170] S34. Perform thermodynamic simulation on the temperature difference structure features to obtain the oxygen intake and carbon addition amount;

[0171] S35. Perform temperature regulation on the flat flame kiln according to the oxygen intake and the carbon addition amount.

[0172] Specifically, the kiln body structure model refers to the three-dimensional model of the kiln body structure of the flat flame kiln, and the temperature marking refers to performing temperature marking according to the corresponding positions of each difference temperature in the difference temperature group in the flat flame kiln.

[0173] Specifically, methods such as using topological features or Betti numbers can be employed to extract the temperature difference structure features. Thermodynamic simulations can be carried out using the Fourier heat conduction model or the hydrodynamic model. The oxygen input amount refers to the content of oxygen that needs to be filled into the flat flame kiln, and the carbon addition amount refers to the content of coal that needs to be increased or decreased in the flat flame kiln.

[0174] In the embodiments of the present invention, by generating a difference temperature group, the gap between the target firing temperature and the existing temperature can be calculated. Through temperature regulation, the oxygen input amount and the carbon addition amount of the flat flame kiln can be dynamically regulated according to the temperature difference in combination with the thermodynamic model, so as to achieve the purpose of temperature regulation and improve the efficiency of temperature control of the flat flame kiln and the firing efficiency of langyao porcelain.

[0175] In the embodiments of the present invention, by obtaining the porcelain embryo atlas and the porcelain embryo size parameters, it is convenient to analyze the glaze layer parameters of the porcelain embryo subsequently, and the optimal firing temperature can be calculated in combination with the porcelain embryo size parameters, thereby improving the firing efficiency of langyao porcelain. By performing image correction and glaze layer analysis, the thickness, type, and uniform distribution degree of the glaze layer can be analyzed based on the image of the glazed porcelain embryo, so as to facilitate the determination of the optimal firing temperature of langyao porcelain. By performing firing temperature analysis, the optimal firing temperature for the glazed porcelain embryo can be determined, thereby improving the quality of the fired langyao porcelain products. By performing real-time data collection, the internal and external environment data of the flat flame kiln can be grasped in real time, so as to facilitate the analysis of the temperature change trend of the flat flame kiln.

[0176] By performing time series feature extraction and temperature trend analysis, the temperature of the flat flame kiln can be analyzed by combining the time series features of temperature change and the influence trend of environmental parameter change on the temperature of the flat flame kiln, so as to improve the accuracy of predicting the temperature change of the flat flame kiln in the future time period. By generating a difference temperature group, the gap between the target firing temperature and the existing temperature can be calculated. Through temperature regulation, the oxygen input amount and the carbon addition amount of the flat flame kiln can be dynamically regulated according to the temperature difference in combination with the thermodynamic model, so as to achieve the purpose of temperature regulation and improve the efficiency of temperature control of the flat flame kiln and the firing efficiency of langyao porcelain. Therefore, the temperature balance control method for the flat flame kiln in the firing of langyao porcelain proposed by the present invention can solve the problem of low efficiency in the firing of langyao porcelain.

[0177] As Figure 4 shown, it is a functional module diagram of the temperature balance control system for the flat flame kiln in the firing of langyao porcelain provided by an embodiment of the present invention.

[0178] The temperature equilibrium control system 100 of the Langhong porcelain firing flat flame kiln described in the present invention can be installed in an electronic device. According to the functions achieved, the temperature equilibrium control system 100 of the Langhong porcelain firing flat flame kiln may include a data acquisition module 101, a glaze layer analysis module 102, a temperature analysis module 103, a timing analysis module 104, and a temperature regulation module 105. The modules described in the present invention may also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, and are stored in the memory of the electronic device.

[0179] In this embodiment, the functions of each module / unit are as follows:

[0180] The data acquisition module 101 is used to respectively perform image acquisition and size measurement on the glazed porcelain embryo to obtain a porcelain embryo atlas and porcelain embryo size parameters;

[0181] The glaze layer analysis module 102 is used to sequentially perform image correction and glaze layer analysis on the porcelain embryo atlas to obtain porcelain embryo glazing parameters. Among them, the sequentially performing image correction and glaze layer analysis on the porcelain embryo atlas to obtain porcelain embryo glazing parameters includes: performing multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas; individually selecting the images in the corrected porcelain embryo atlas as target corrected images, and decomposing the target corrected images into chromaticity space images and brightness space images; calculating the equalized brightness level of the brightness space image using the following equalization algorithm:

[0182]

[0183] where k' refers to the k-th brightness level in the equalized brightness level, round is the rounding symbol, W is the width of the target corrected image, H is the length of the target corrected image, · is the dot product symbol, i is the brightness level index, k is the k-th brightness level in the initial brightness level of the brightness space image, h(i) is the total number of pixels with all brightness levels of i in the brightness space image, C min is the first non-zero brightness level in the brightness space image, L is the maximum value of the brightness levels in the initial brightness level of the brightness space image; performing brightness equalization operation on the brightness space image according to the equalized brightness level to obtain an equalized brightness image; channel-merging the chromaticity space image and the equalized brightness image into an equalized corrected image, and aggregating the equalized corrected images of all the target corrected images in the corrected porcelain embryo atlas into an equalized porcelain embryo atlas; performing glaze layer analysis on the equalized porcelain embryo atlas to obtain porcelain embryo glazing parameters;

[0184] The temperature analysis module 103 is configured to perform firing temperature analysis on the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters, obtain an equilibrium firing temperature group, and perform real-time data collection on the horizontal flame kiln for firing the glazed porcelain embryo to obtain a sensing parameter sequence;

[0185] The timing analysis module 104 is configured to perform timing feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analysis firing temperature group;

[0186] The temperature control module 105 is configured to generate a differential temperature group according to the analysis firing temperature group and the equilibrium firing temperature group, and perform temperature control on the horizontal flame kiln according to the differential temperature group.

[0187] Specifically, each module in the temperature equilibrium control system 100 of the Langhong porcelain firing horizontal flame kiln in the embodiments of the present invention adopts the same technical means as those in the above Figures 1 to 3 and can produce the same technical effects as those in the temperature equilibrium control method of the Langhong porcelain firing horizontal flame kiln described above, which will not be elaborated here.

[0188] In several embodiments provided by the present invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0189] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0190] In addition, each functional module in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0191] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0192] Embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use the knowledge to obtain the best results.

[0193] In addition, it is obvious that the word "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or systems described in the system embodiments can also be implemented by one unit or system through software or hardware. Words such as first, second, etc. are used to represent names and do not represent any specific order.

[0194] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A temperature balance control method for a flat flame kiln for firing Langhong porcelain, characterized in that: The method comprises: The images of the glazed porcelain embryos are collected and the dimensions are measured respectively to obtain porcelain embryo atlas and porcelain embryo dimension parameters; The porcelain embryo atlas is sequentially subjected to image correction and glaze layer analysis to obtain porcelain embryo glazing parameters, wherein the step of sequentially subjected to image correction and glaze layer analysis to obtain porcelain embryo glazing parameters comprises: performing multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas; selecting images in the corrected porcelain embryo atlas one by one as target correction images, and decomposing the target correction images into a chromaticity space image and a brightness space image; and calculating the equalized brightness level of the brightness space image using the following equalization algorithm: Wherein, k' refers to the kth brightness level in the equalized brightness levels, round is the rounding symbol, W is the width of the target corrected image, H is the length of the target corrected image, · is the dot product symbol, i is the brightness level index, k is the kth brightness level in the initial brightness level of the brightness space image, h(i) is the total number of all pixels with brightness level i in the brightness space image, and C min is the first non-zero brightness level in the brightness space image, and L is the maximum brightness level in the initial brightness level of the brightness space image; performing brightness equalization operation on the brightness space image according to the equalized brightness level to obtain a balanced brightness image; merging the chromaticity space image and the equalized brightness image channels into a balanced correction image, and assembling the balanced correction images of all target correction images in the correction porcelain embryo atlas into a balanced porcelain embryo atlas; performing glaze layer analysis on the balanced porcelain embryo atlas to obtain porcelain embryo glazing parameters; Performing a firing temperature analysis on the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain a balanced firing temperature group, and performing real-time data collection on a flat flame kiln for firing the glazed porcelain embryo to obtain a sensing parameter sequence; Performing time series feature extraction and temperature trend analysis on the sensing parameter sequence to obtain an analysis firing temperature group; A difference temperature group is generated according to the analysis firing temperature group and the equilibrium firing temperature group, and the temperature of the flat flame kiln is controlled according to the difference temperature group.

2. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain according to claim 1, characterized in that: The step of collecting images and measuring the dimensions of the glazed porcelain embryos to obtain porcelain embryo atlases and porcelain embryo dimension parameters includes: Capturing glazed porcelain embryos with multiple cameras to obtain porcelain embryo atlases; Extracting contours of the porcelain embryo atlas to obtain a porcelain embryo contour set; Performing ultrasonic dimension measurement on the glazed porcelain embryo to obtain primary dimension parameters; Scaling and measuring the image size of the porcelain embryo contour set to obtain secondary size parameters; The ceramic embryo size parameters are generated according to the primary size parameters and the secondary size parameters.

3. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain according to claim 1, characterized in that: The performing multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas comprises: Performing Gaussian denoising on the porcelain embryo atlas to obtain a denoised porcelain embryo atlas; Performing edge enhancement operation on the denoised porcelain embryo atlas to obtain an enhanced porcelain embryo atlas; Performing white balance correction on the enhanced porcelain embryo atlas to obtain a balanced porcelain embryo atlas; The balanced porcelain embryo atlas is color corrected to obtain a corrected porcelain embryo atlas.

4. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain according to claim 1, characterized in that: The glaze layer analysis is performed on the balanced porcelain embryo atlas to obtain porcelain embryo glazing parameters, including: Performing color space conversion and color feature extraction on the balanced porcelain embryo atlas to obtain porcelain embryo color features; The balanced porcelain embryo atlas is texture filtered using the following texture extraction algorithm to obtain the porcelain embryo texture features: Among them, G j (x, y) is the porcelain embryo texture feature of the pixel point with pixel coordinates x, y) in the jth balanced porcelain embryo image in the balanced porcelain embryo atlas, x is the pixel horizontal coordinate, y is the pixel vertical coordinate, exp is the exponential function symbol, cos is the cosine function symbol, sin is the sine function symbol, θ is the preset filtering direction, σ s is the Gaussian kernel standard deviation of the texture extraction algorithm, a is the image length of the j-th balanced porcelain embryo image in the balanced porcelain embryo atlas, b is the image width of the j-th balanced porcelain embryo image in the balanced porcelain embryo atlas, π is the symbol of pi, α is the preset filter length, and β is the preset phase offset; Performing highlight detection and gloss evaluation on the balanced porcelain embryo atlas to obtain porcelain embryo gloss characteristics; Performing feature fusion on the porcelain embryo color feature, the porcelain embryo texture feature and the porcelain embryo gloss feature to obtain the porcelain embryo glaze layer feature; Kernel function mapping is performed on the porcelain embryo glaze layer characteristics to obtain porcelain embryo glazing parameters.

5. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain according to claim 1, characterized in that: The step of performing a firing temperature analysis on the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain a balanced firing temperature group includes: Generate a porcelain embryo parameter group according to the porcelain embryo glazing parameters and the porcelain embryo size parameters; Performing data standardization and data matrixing on the porcelain embryo parameter group to obtain a porcelain embryo parameter matrix; Calculating the covariance parameter matrix of the porcelain embryo parameter matrix; Performing singular value decomposition on the covariance parameter matrix to obtain porcelain embryo eigenvalues ​​and porcelain embryo eigenvectors; Filtering out a standard porcelain embryo vector from the porcelain embryo feature vector according to the porcelain embryo feature value; Using the standard porcelain embryo vector to perform data dimension reduction mapping on the porcelain embryo parameter matrix to obtain porcelain embryo parameter features; Temperature mapping is performed on the ceramic embryo parameter characteristics to obtain a balanced firing temperature group.

6. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain as claimed in claim 1, characterized in that: The step of extracting the time series features and analyzing the temperature trend of the sensing parameter sequence to obtain an analysis firing temperature group includes: Splitting the sensing parameter sequence into a sensing temperature group sequence and a sensing environment parameter sequence; Training a preset environment temperature model into a temperature analysis model according to the sensed environment parameter sequence and the sensed temperature group sequence; Extracting time series features from the sensing parameter sequence to obtain sensing time series features; Performing full connection mapping on the sensing time series features to obtain analytical sensing parameters; Splitting the analytical sensing parameters into an analytical sensing temperature group and an analytical environmental parameter; Calculating an analysis model temperature group corresponding to the analysis environment parameters according to the temperature analysis model; The analysis model temperature group and the analysis sensing temperature group are weighted averaged to obtain an analysis firing temperature group.

7. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain as claimed in claim 6, characterized in that: The step of extracting the time series features from the sensing parameter sequence to obtain the sensing time series features includes: Extracting long-term time series features from the sensing parameter sequence to obtain long-term sensing time series features; Extracting short-term time series features from the sensing parameter sequence to obtain short-term sensing time series features; Performing attention encoding on the sensing parameter sequence to obtain attention sensing temporal features; The long-term sensing time series feature and the short-term sensing time series feature are combined into a long-short sensing time series feature; The attention sensing timing feature and the long-short sensing timing feature are fused into a sensing timing feature.

8. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain as claimed in claim 1, characterized in that: The step of generating a difference temperature group according to the analysis firing temperature group and the equilibrium firing temperature group comprises: Selecting the analysis firing temperatures in the analysis firing temperature group one by one as the target analysis temperature, and taking the equilibrium firing temperature corresponding to the target analysis temperature in the equilibrium firing temperature group as the target equilibrium temperature; Subtracting the target analysis temperature from the target equilibrium temperature to obtain a target difference temperature; The target difference temperatures corresponding to the target analysis temperatures in the analysis firing temperature group are collected into a difference temperature group.

9. The temperature balance control method for a flat-flame kiln for firing Langhong porcelain as claimed in claim 1, characterized in that: The temperature control of the flat flame kiln according to the differential temperature group includes: Obtaining a kiln body structure model of the flat-flame kiln; Performing temperature marking on the kiln body structure model according to the differential temperature group to obtain a temperature difference structure model; Extracting temperature difference structure features from the temperature difference structure model; Performing thermodynamic simulation on the temperature difference structure characteristics to obtain the oxygen intake and carbon increase amount; The temperature of the flat flame kiln is regulated according to the oxygen intake and the carbon increase.

10. A temperature balance control system for a flat flame kiln for firing Langhong porcelain, characterized in that: The system comprises: The data acquisition module is used to collect images and measure the dimensions of the glazed porcelain embryos to obtain porcelain embryo atlases and porcelain embryo dimension parameters; The glaze layer analysis module is used to perform image correction and glaze layer analysis on the porcelain embryo atlas in sequence to obtain porcelain embryo glazing parameters, wherein the step of performing image correction and glaze layer analysis on the porcelain embryo atlas in sequence to obtain porcelain embryo glazing parameters comprises: performing multi-dimensional image correction on the porcelain embryo atlas to obtain a corrected porcelain embryo atlas; selecting images in the corrected porcelain embryo atlas one by one as target correction images, and decomposing the target correction images into a chromaticity space image and a brightness space image; and calculating the balanced brightness level of the brightness space image using the following equalization algorithm: Wherein, k' refers to the kth brightness level in the equalized brightness levels, round is the rounding symbol, W is the width of the target corrected image, H is the length of the target corrected image, · is the dot product symbol, i is the brightness level index, k is the kth brightness level in the initial brightness level of the brightness space image, h(i) is the total number of all pixels with brightness level i in the brightness space image, and C min is the first non-zero brightness level in the brightness space image, and L is the maximum brightness level in the initial brightness level of the brightness space image; performing brightness equalization operation on the brightness space image according to the equalized brightness level to obtain a balanced brightness image; merging the chromaticity space image and the equalized brightness image channels into a balanced correction image, and assembling the balanced correction images of all target correction images in the correction porcelain embryo atlas into a balanced porcelain embryo atlas; performing glaze layer analysis on the balanced porcelain embryo atlas to obtain porcelain embryo glazing parameters; A temperature analysis module is used to perform a firing temperature analysis on the glazed porcelain embryo according to the porcelain embryo glazing parameters and the porcelain embryo size parameters to obtain a balanced firing temperature group, and to perform real-time data collection on the flat flame kiln firing the glazed porcelain embryo to obtain a sensing parameter sequence; A timing analysis module is used to extract timing features and perform temperature trend analysis on the sensing parameter sequence to obtain an analysis firing temperature group; The temperature control module is used to generate a difference temperature group according to the analysis firing temperature group and the balanced firing temperature group, and to control the temperature of the flat flame kiln according to the difference temperature group.

Images