A method and system for automatically detecting ceramic zirconium tubes of oxygen measurement probes

Abstract

The present invention discloses an automatic detection method and system for a ceramic zirconium tube of an oxygen determination probe, which relates to the field of optical detection technology and includes a monitoring center, wherein the monitoring center is communicatively connected with an optical image data acquisition module, a data preprocessing module, a data processing module, a virtual model construction module and an automatic analysis and detection module; by acquiring actual optical image data and sample optical image data, and preprocessing the actual optical image data and the sample optical image data, preprocessed actual optical image data and preprocessed sample optical image data are obtained, and then optical image data conversion processing is performed on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain actual virtual model data and sample virtual model data; according to the actual virtual model data and the sample virtual model data, an actual three-dimensional geometric model and a sample three-dimensional geometric model are constructed, and standard comparative analysis is performed; thereby greatly improving the detection efficiency and quality.

Description

Technical Field

[0001] The invention relates to the technical field of optical detection, in particular to an automatic detection method and system for a ceramic zirconium tube of an oxygen determination probe. Background Art

[0002] The ceramic zirconium tube is one of the key components of the oxygen probe, usually made of high-purity zirconium oxide or magnesium oxide. Its main function is to protect the internal reference electrode and conductive electrode, while allowing oxygen ions to pass through to ensure the normal electrochemical reaction. The ceramic zirconium tube must have high temperature stability, corrosion resistance and mechanical strength to adapt to the high temperature and highly corrosive smelting environment.

[0003] Traditional ceramic zirconium tube inspection methods mainly rely on manual inspection and simple mechanical testing, which have the following limitations:

[0004] Manual inspection: Relies on the operator’s experience and skills, is easily affected by subjective factors, and has low detection accuracy and consistency.

[0005] Mechanical testing: Usually only some of the physical properties of ceramic zirconium tubes (such as size and shape) can be tested, and their internal structure and material quality cannot be fully evaluated.

[0006] Inefficiency: The manual inspection process is cumbersome and time-consuming, and it is difficult to meet the needs of large-scale production.

[0007] In order to improve the inspection efficiency and accuracy of ceramic zirconium tubes, it is particularly important to develop automatic inspection methods and systems. The automatic inspection system can achieve comprehensive inspection of ceramic zirconium tubes by integrating advanced sensor technology, image processing technology and intelligent algorithms. The specific advantages are as follows:

[0008] High precision: The automatic inspection system is capable of high-precision dimension measurement, surface defect detection and internal structure analysis to ensure the accuracy of the inspection results.

[0009] Consistency: The automated system avoids the influence of human factors, and the test results are highly consistent.

[0010] High efficiency: The automatic detection system can process a large number of ceramic zirconium tubes continuously and quickly, improving production efficiency.

[0011] Comprehensiveness: Combining multiple testing methods, it can comprehensively evaluate the performance indicators of ceramic zirconium tubes to ensure their quality and reliability

[0012] Therefore, a method and system for automatically detecting the ceramic zirconium tube of an oxygen determination probe are provided. Summary of the invention

[0013] In order to solve the above technical problems, the object of the present invention is to provide an automatic detection system for ceramic zirconium tubes of oxygen measurement probes.

[0014] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: an automatic detection system for ceramic zirconium tubes of oxygen determination probes, comprising a monitoring center, wherein the monitoring center is communicatively connected with an optical image data acquisition module, a data preprocessing module, a data processing module, a virtual model building module and an automatic analysis and detection module;

[0015] The optical image data acquisition module is used to acquire the actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and the sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe;

[0016] The data preprocessing module is used to preprocess the actual optical image data and the sample optical image data to obtain preprocessed actual optical image data and preprocessed sample optical image data;

[0017] The data processing module is used to perform optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain the actual virtual model data and the sample virtual model data;

[0018] The virtual model building module is used to build an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the actual virtual model data; and to build a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the sample virtual model data;

[0019] The automatic analysis and detection module is used to perform standard comparative analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe meets the requirements.

[0020] Furthermore, the process of the optical image data acquisition module acquiring the actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and the sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe includes:

[0021] The optical image data acquisition module is provided with an optical image data acquisition unit;

[0022] The lighting conditions in the preset acquisition environment are stable and the fixed scanning positions are uniform;

[0023] Preset sample oxygen determination probe ceramic zirconium tube;

[0024] The optical image data acquisition unit is provided with a plurality of groups of light source emission points and a scanning angle;

[0025] Placing the ceramic zirconium tube of the oxygen determination probe to be detected at the fixed scanning position, and scanning according to the scanning angle to obtain actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected;

[0026] The sample oxygen determination probe ceramic zirconium tube is placed at the fixed scanning position, and scanned according to the scanning angle to obtain sample optical image data of the sample oxygen determination probe ceramic zirconium tube.

[0027] Furthermore, the process of preprocessing the actual optical image data and the sample optical image data by the data preprocessing module includes:

[0028] Performing standard division processing on the obtained actual optical image data and the sample optical image data to obtain standard actual optical image data and standard sample optical image data;

[0029] The data preprocessing module is provided with a region to be divided into A sub-region of m rows and columns;

[0030] The actual optical image data and the sample optical image data are placed in the area to be divided into standards, and the m standard actual optical image data and standard sample optical image data;

[0031] Using a denoising algorithm technology, removing noise from the standard actual optical image data and the standard sample optical image data;

[0032] The denoised standard actual optical image data and the standard sample optical image data are numbered respectively.

[0033] Furthermore, the process of the data processing module performing optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data includes:

[0034] Normalize the uploaded standard actual optical image data and standard sample optical image data;

[0035] The normalized standard actual optical image data and the standard sample optical image data are gray-scaled to obtain an actual texture feature set and a sample texture feature set.

[0036] Furthermore, the process of obtaining the actual texture feature set and the sample texture feature set includes:

[0037] For standard actual optical image data and standard sample optical image data, the grayscale co-occurrence matrix around each pixel is calculated by sliding window. The grayscale level of the surface image data is quantized into discrete grayscale levels, and the grayscale value range is divided into several levels. For example, an 8-bit image can be divided into 16, 32, and 64 levels. The parameters required to define the grayscale co-occurrence matrix, including distance (d) and direction (θ), are determined according to actual application requirements. The specific steps will not be repeated here. Subsequently, based on the calculated grayscale co-occurrence matrix, a series of texture feature values ​​are extracted to construct a texture feature set.

[0038] The texture feature set includes an actual texture feature set and a sample texture feature set.

[0039] Furthermore, the process of constructing the actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe to be detected and the three-dimensional geometric model of the sample by the virtual model construction module includes:

[0040] Construct a three-dimensional coordinate system about the ceramic zirconium tube of the oxygen probe to be detected, which is recorded as the first coordinate system;

[0041] Construct a three-dimensional coordinate system about the ceramic zirconium tube of the sample oxygen determination probe, which is recorded as the second coordinate system;

[0042] Convert the uploaded actual virtual model data and sample virtual model data into three-dimensional coordinates to obtain the discrete point coordinates of the corresponding actual texture feature set and the discrete point coordinates of the sample texture feature set;

[0043] Importing the coordinates of the discrete points of the actual texture feature set into the first coordinate system, and constructing an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe to be detected;

[0044] The coordinates of the discrete points of the sample texture feature set are imported into the second coordinate system to construct a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe.

[0045] Furthermore, the automatic analysis and detection module is used to perform standard comparative analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe meets the requirements, including:

[0046] Obtaining the actual 3D geometric model and the sample 3D geometric model, and performing initialization operations so that the scales of the models are consistent;

[0047] Overlapping and comparing the actual three-dimensional geometric model and the sample three-dimensional geometric model to generate an overlapping comparison model;

[0048] According to the overlapping comparison model, the defect height and defect width of the surface of the ceramic zirconium tube of the oxygen determination probe to be detected are obtained;

[0049] Preset standard defect height and standard defect width;

[0050] If the defect height on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is greater than the standard defect height, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is unqualified, and an alarm message of unqualified defect height is generated;

[0051] If the defect height on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is less than or equal to the standard defect height, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is qualified;

[0052] If the defect width on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is greater than the standard defect width, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is unqualified, and an alarm message of unqualified defect width is generated;

[0053] If the defect width on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is less than or equal to the standard defect width, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is qualified.

[0054] Furthermore, a method for automatically detecting a ceramic zirconium tube of an oxygen determination probe comprises the following steps:

[0055] Step S1: collecting actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe; and preprocessing the collected actual optical image data and sample optical image data to obtain preprocessed actual optical image data and preprocessed sample optical image data;

[0056] Step S2: performing optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain actual virtual model data and sample virtual model data;

[0057] Step S3: constructing an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the actual virtual model data; constructing a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe according to the sample virtual model data;

[0058] Step S4: Perform standard comparison analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe to be tested meets the requirements.

[0059] Compared with the prior art, the beneficial effects of the present invention are: by collecting actual optical image data and sample optical image data, and preprocessing the actual optical image data and the sample optical image data, preprocessed actual optical image data and preprocessed sample optical image data are obtained, and then optical image data conversion processing is performed on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain actual virtual model data and sample virtual model data; according to the actual virtual model data and the sample virtual model data, an actual three-dimensional geometric model and a sample three-dimensional geometric model are constructed, and standard comparative analysis is performed; the detection efficiency and quality are greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0061] Figure 1 The schematic diagram is a schematic diagram of an automatic detection system for ceramic zirconium tubes of oxygen measurement probes.

[0062] Figure 2 The schematic diagram of an automatic detection method for ceramic zirconium tubes of oxygen probes DETAILED DESCRIPTION

[0063] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0064] like Figure 1 As shown, an automatic detection system for ceramic zirconium tubes of oxygen determination probes includes a monitoring center, wherein the monitoring center is communicatively connected with an optical image data acquisition module, a data preprocessing module, a data processing module, a virtual model building module and an automatic analysis and detection module;

[0065] The optical image data acquisition module is used to acquire the actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and the sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe;

[0066] The data preprocessing module is used to preprocess the actual optical image data and the sample optical image data to obtain preprocessed actual optical image data and preprocessed sample optical image data;

[0067] The data processing module is used to perform optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain the actual virtual model data and the sample virtual model data;

[0068] The virtual model building module is used to build an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the actual virtual model data; and to build a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the sample virtual model data;

[0069] The automatic analysis and detection module is used to perform standard comparative analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe meets the requirements.

[0070] It should be further explained that, in the specific implementation process, the specific process of the optical image data acquisition module acquiring the actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and the sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe includes:

[0071] The optical image data acquisition module is provided with an optical image data acquisition unit;

[0072] The lighting conditions in the preset acquisition environment are stable and the fixed scanning positions are uniform;

[0073] Preset sample oxygen determination probe ceramic zirconium tube;

[0074] The optical image data acquisition unit is provided with a plurality of groups of light source emission points and a scanning angle;

[0075] Placing the ceramic zirconium tube of the oxygen determination probe to be detected at the fixed scanning position, and scanning according to the scanning angle to obtain actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected;

[0076] Placing the sample oxygen determination probe ceramic zirconium tube at the fixed scanning position, and scanning according to the scanning angle to obtain sample optical image data of the sample oxygen determination probe ceramic zirconium tube;

[0077] It should be further explained that the scanning angle includes a vertical angle of 5° with the fixed scanning position as the origin and the light source emission point as the emission point. , 15 , 25 , 35 , 40 and 60 to scan.

[0078] The optical image data acquisition module uploads the acquired actual optical image data and sample optical image data to the data preprocessing module.

[0079] It should be further explained that, in the specific implementation process, the specific process of the data preprocessing module preprocessing the actual optical image data and the sample optical image data includes:

[0080] Performing standard division processing on the obtained actual optical image data and the sample optical image data to obtain standard actual optical image data and standard sample optical image data;

[0081] The data preprocessing module is provided with a region to be divided into A sub-region of m rows and columns;

[0082] The actual optical image data and the sample optical image data are placed in the area to be divided into standards, and the m standard actual optical image data and standard sample optical image data;

[0083] By using a denoising algorithm technology, the noise in the standard actual optical image data and the standard sample optical image data is removed to improve the image quality;

[0084] The standard actual optical image data after denoising is numbered and recorded as All are natural numbers;

[0085] The denoised standard sample optical image data is numbered and recorded as All are natural numbers.

[0086] The data preprocessing module uploads the numbered standard actual optical image data and the standard sample optical image data to the data processing module.

[0087] It should be further explained that, in the specific implementation process, the specific process of the data processing module performing optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data includes:

[0088] Standard actual optical image data uploaded And standard sample optical image data Perform normalization processing;

[0089] It should be further explained that in the specific implementation process, the uploaded standard actual optical image data And standard sample optical image data The specific process of normalization includes:

[0090] The standard actual optical image data And standard sample optical image data Set the same parameters for brightness, contrast and color to eliminate the effects caused by differences in brightness, contrast and color;

[0091] The standard actual optical image data after setting the same parameters And standard sample optical image data Perform grayscale processing to obtain the actual texture feature set And the sample texture feature set ;

[0092] It should be further explained that, in the specific implementation process, the actual texture feature set is obtained And the sample texture feature set The specific process includes:

[0093] Standard actual optical image data And standard sample optical image data , the gray level co-occurrence matrix around each pixel is calculated by sliding the window surface image data. The specific details are as follows: the gray level of the surface image data is quantized into discrete gray levels, the gray value range is divided into several levels, for example, 8-bit images can be divided into 16, 32, and 64 levels, and the parameters required to define the gray level co-occurrence matrix, including distance (d) and direction (θ), are determined according to actual application requirements. The specific steps will not be repeated here. Then, based on the calculated gray level co-occurrence matrix, a series of texture feature values ​​are extracted to construct a texture feature set. The texture feature values ​​in the texture feature set include but are not limited to:

[0094] Contrast: It is a statistical feature that describes the contrast of pixels at different gray levels in an image. It is a feature that measures the roughness of the image texture and reflects the clarity of the image and the depth of the texture grooves. The deeper the texture grooves, the greater the contrast and the clearer the visual effect. On the contrary, when the contrast is small, the grooves are shallow and the effect is blurred.

[0095] Correlation: describes the degree of correlation between pixels of different gray levels in the image. It measures the similarity of the elements of the spatial grayscale co-occurrence matrix in the row or column direction. Therefore, the size of the correlation value reflects the local grayscale correlation in the image. When the values ​​of the matrix elements are uniformly equal, the correlation value is large. On the contrary, if the matrix pixel values ​​differ greatly, the correlation value is small. If there is horizontal texture in the image, the correlation of the horizontal matrix is ​​greater than the correlation of the rest of the matrices.

[0096] Energy: describes the uniformity of the grayscale distribution of pixels in an image, measures the randomness contained in the image, and shows the complexity of the image. When all values ​​of the co-occurrence matrix are equal or the pixel values ​​show the greatest randomness, the entropy is the largest;

[0097] Homogeneity: describes the similarity of the gray levels of adjacent pixels in the image; reflects the homogeneity of the image texture, and measures the amount of local changes in the image texture. A large value indicates that there is a lack of changes between different areas of the image texture, and the local area is very uniform.

[0098] Entropy: describes the uncertainty of image texture, measures the randomness contained in the image, and shows the complexity of the image. When all values ​​of the co-occurrence matrix are equal or the pixel values ​​show the greatest randomness, the entropy is the largest;

[0099] Inverse variance: reflects the clarity and regularity of the texture. The texture is clear and regular.

[0100] According to the actual texture feature set And the sample texture feature set , obtain the corresponding actual virtual model data And sample virtual model data .

[0101] The data processing module obtains the actual virtual model data And sample virtual model data Upload to the virtual model building module.

[0102] It should be further explained that, in the specific implementation process, the specific process of the virtual model building module building the actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe to be detected and the three-dimensional geometric model of the sample includes:

[0103] Construct a three-dimensional coordinate system about the ceramic zirconium tube of the oxygen probe to be detected, which is recorded as the first coordinate system;

[0104] Construct a three-dimensional coordinate system about the ceramic zirconium tube of the sample oxygen determination probe, which is recorded as the second coordinate system;

[0105] The actual virtual model data to be uploaded And sample virtual model data Perform three-dimensional coordinate conversion to obtain the corresponding actual texture feature set The discrete point coordinates and sample texture feature set The coordinates of discrete points;

[0106] The actual texture feature set The coordinates of the discrete points are imported into the first coordinate system to construct the actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe to be detected;

[0107] The sample texture feature set The coordinates of the discrete points are imported into the second coordinate system to construct a three-dimensional geometric model of the sample of the ceramic zirconium tube of the oxygen probe.

[0108] The virtual model construction module uploads the constructed actual three-dimensional geometric model and the sample three-dimensional geometric model to the automatic analysis and detection module.

[0109] It should be further explained that, in the specific implementation process, the automatic analysis and detection module is used to perform standard comparative analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe meets the requirements. The specific process includes:

[0110] Obtaining the actual 3D geometric model and the sample 3D geometric model, and performing initialization operations so that the scales of the models are consistent;

[0111] Overlapping and comparing the actual three-dimensional geometric model and the sample three-dimensional geometric model to generate an overlapping comparison model;

[0112] According to the overlapping comparison model, the defect height and defect width of the surface of the ceramic zirconium tube of the oxygen determination probe to be detected are obtained;

[0113] Preset standard defect height and standard defect width;

[0114] If the defect height on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is greater than the standard defect height, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is unqualified, and an alarm message of unqualified defect height is generated;

[0115] If the defect height on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is less than or equal to the standard defect height, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is qualified;

[0116] If the defect width on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is greater than the standard defect width, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is unqualified, and an alarm message of unqualified defect width is generated;

[0117] If the defect width on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is less than or equal to the standard defect width, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is qualified;

[0118] It should be further explained that if the defect width and defect height on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested are consistent with the standard defect height and standard defect width, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is qualified;

[0119] like Figure 2 As shown, a method for automatically detecting a ceramic zirconium tube of an oxygen determination probe comprises the following steps:

[0120] Step S1: collecting actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe; and preprocessing the collected actual optical image data and sample optical image data to obtain preprocessed actual optical image data and preprocessed sample optical image data;

[0121] Step S2: performing optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain actual virtual model data and sample virtual model data;

[0122] Step S3: constructing an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the actual virtual model data; constructing a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe according to the sample virtual model data;

[0123] Step S4: Perform standard comparison analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe to be tested meets the requirements.

[0124] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An automatic detection system for ceramic zirconium tubes of oxygen probes, including a monitoring center, characterized in that: The monitoring center is communicatively connected with an optical image data acquisition module, a data preprocessing module, a data processing module, a virtual model building module and an automatic analysis and detection module; The optical image data acquisition module is used to acquire the actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and the sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe; The data preprocessing module is used to preprocess the actual optical image data and the sample optical image data to obtain preprocessed actual optical image data and preprocessed sample optical image data; The data processing module is used to perform optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain the actual virtual model data and the sample virtual model data; The virtual model building module is used to build an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the actual virtual model data; and to build a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the sample virtual model data; The automatic analysis and detection module is used to perform standard comparative analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe meets the requirements; The automatic analysis and detection module is used to perform standard comparison analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe meets the requirements. The process includes: Obtaining the actual 3D geometric model and the sample 3D geometric model, and performing initialization operations so that the scales of the models are consistent; Overlapping and comparing the actual three-dimensional geometric model and the sample three-dimensional geometric model to generate an overlapping comparison model; According to the overlapping comparison model, the defect height and defect width of the surface of the ceramic zirconium tube of the oxygen determination probe to be detected are obtained; Preset standard defect height and standard defect width; If the defect height on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is greater than the standard defect height, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is unqualified, and an alarm message of unqualified defect height is generated; If the defect height on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is less than or equal to the standard defect height, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is qualified; If the defect width on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is greater than the standard defect width, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is unqualified, and an alarm message of unqualified defect width is generated; If the defect width on the surface of the ceramic zirconium tube of the oxygen measuring probe to be tested is less than or equal to the standard defect width, it means that the ceramic zirconium tube of the oxygen measuring probe to be tested is qualified.

2. The automatic detection system for ceramic zirconium tube of oxygen probe according to claim 1 is characterized in that: The process of the optical image data acquisition module acquiring the actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and the sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe includes: The optical image data acquisition module is provided with an optical image data acquisition unit; The lighting conditions in the preset acquisition environment are stable and the fixed scanning positions are uniform; Preset sample oxygen determination probe ceramic zirconium tube; The optical image data acquisition unit is provided with a plurality of groups of light source emission points and a scanning angle; Placing the ceramic zirconium tube of the oxygen determination probe to be detected at the fixed scanning position, and scanning according to the scanning angle to obtain actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected; The sample oxygen determination probe ceramic zirconium tube is placed at the fixed scanning position, and scanned according to the scanning angle to obtain sample optical image data of the sample oxygen determination probe ceramic zirconium tube.

3. The automatic detection system of ceramic zirconium tube for oxygen probe according to claim 2 is characterized in that: The process of preprocessing the actual optical image data and the sample optical image data by the data preprocessing module includes: Performing standard division processing on the obtained actual optical image data and the sample optical image data to obtain standard actual optical image data and standard sample optical image data; The data preprocessing module is provided with a region to be divided into sub-regions of rows and columns; The actual optical image data and the sample optical image data are placed in the area to be divided into standards, and the Standard actual optical image data and standard sample optical image data; Using a denoising algorithm technology, removing noise from the standard actual optical image data and the standard sample optical image data; The denoised standard actual optical image data and the standard sample optical image data are numbered respectively.

4. The automatic detection system for ceramic zirconium tube of oxygen probe according to claim 3 is characterized in that: The process of the data processing module performing optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data includes: Normalize the uploaded standard actual optical image data and standard sample optical image data; The normalized standard actual optical image data and the standard sample optical image data are gray-scaled to obtain an actual texture feature set and a sample texture feature set.

5. The automatic detection system of ceramic zirconium tube for oxygen determination probe according to claim 4 is characterized in that: The process of obtaining the actual texture feature set and the sample texture feature set includes: For standard actual optical image data and standard sample optical image data, the gray level co-occurrence matrix around each pixel is calculated by sliding window. The gray level of the surface image data is quantized into discrete gray levels, and the gray value range is divided into several levels. The 8-bit image is divided into 16, 32 or 64 levels, and the parameters required to define the gray level co-occurrence matrix, including distance (d) and direction (θ), are then extracted based on the calculated gray level co-occurrence matrix to construct a texture feature set. The texture feature set includes an actual texture feature set and a sample texture feature set.

6. The automatic detection system for ceramic zirconium tube of oxygen probe according to claim 5 is characterized in that: The process of constructing the actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe to be detected and the three-dimensional geometric model of the sample by the virtual model construction module includes: Construct a three-dimensional coordinate system about the ceramic zirconium tube of the oxygen probe to be detected, which is recorded as the first coordinate system; Construct a three-dimensional coordinate system about the ceramic zirconium tube of the sample oxygen determination probe, which is recorded as the second coordinate system; Convert the uploaded actual virtual model data and sample virtual model data into three-dimensional coordinates to obtain discrete point coordinates corresponding to the actual texture feature set and the discrete point coordinates of the sample texture feature set; Importing the coordinates of the discrete points of the actual texture feature set into the first coordinate system, and constructing an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe to be detected; The coordinates of the discrete points of the sample texture feature set are imported into the second coordinate system to construct a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen determination probe.

7. An automatic detection method for a ceramic zirconium tube of an oxygen measurement probe, used to implement an automatic detection system for a ceramic zirconium tube of an oxygen measurement probe according to any one of claims 1 to 6, comprising the following steps: Step S1: collecting actual optical image data of the ceramic zirconium tube of the oxygen determination probe to be detected and sample optical image data of the ceramic zirconium tube of the sample oxygen determination probe; and preprocessing the collected actual optical image data and sample optical image data to obtain preprocessed actual optical image data and preprocessed sample optical image data; Step S2: performing optical image data conversion processing on the preprocessed actual optical image data and the preprocessed sample optical image data to obtain actual virtual model data and sample virtual model data; Step S3: constructing an actual three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe to be tested according to the actual virtual model data; constructing a sample three-dimensional geometric model of the ceramic zirconium tube of the oxygen measurement probe according to the sample virtual model data; Step S4: Perform standard comparison analysis based on the actual three-dimensional geometric model and the sample three-dimensional geometric model, and then determine whether the ceramic zirconium tube of the oxygen determination probe to be tested meets the requirements.

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