Die nondestructive testing method and system based on data analysis

Abstract

The invention discloses a die nondestructive testing method and system based on data analysis, and belongs to the field of physical or chemical detection.The die nondestructive testing method comprises the steps that die internal defect information is obtained and imported into a defect information analysis model for die internal defect information analysis; obtaining mold appearance image data, importing the mold appearance image data into an appearance deformation analysis model for appearance deformation information analysis, obtaining a mold internal defect information analysis result and an appearance deformation information analysis result, and importing the mold internal defect information analysis result and the appearance deformation information analysis result into a mold life analysis strategy for mold remaining life analysis. And early warning of die replacement is performed according to the analyzed remaining service life of the die, and the remaining service life of the die is accurately estimated in real time by comprehensively analyzing the internal defect information and the appearance deformation information in the using process of the die, so that the judgment efficiency and the judgment accuracy of the service life of the die are improved.

Description

Technical Field

[0001] The invention belongs to the field of physical or chemical detection, and specifically relates to a mold nondestructive detection method and system based on data analysis. Background Art

[0002] The mold non-destructive testing method based on data analysis is a high-tech testing technology. It mainly collects data on the mold surface and uses data analysis to determine whether the mold has defects. The mold non-destructive testing method based on data analysis is of great significance in ensuring product quality, improving production efficiency, and reducing production costs. With the continuous advancement of technology, this type of method will have a wider application in the future; However, most existing technologies quantitatively analyze the degree of damage to the mold through the surface or internal damage of the mold, and are unable to comprehensively analyze the internal defect information and surface deformation information of the mold during use, thereby failing to accurately estimate the remaining life of the mold in real time, thereby reducing the efficiency and accuracy of judging the mold life; After searching, the inventors found that most of the prior art had the above problems (for example, in the invention patents with application publication numbers CN116008403A and CN108152377A); In order to solve these problems, the present application designs a mold non-destructive testing method and system based on data analysis. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention proposes a mold non-destructive testing method and system based on data analysis.

[0004] To achieve the above object, the present invention provides the following technical solution: a mold nondestructive testing method based on data analysis, which includes the following specific steps: Obtain a three-dimensional image of the mold to be inspected, detect the defect information inside the mold through X-rays, and display it at the corresponding position of the three-dimensional image, and obtain the image data of the mold surface at the same time; Obtain the defect information inside the mold and import it into the defect information analysis model to perform defect information analysis inside the mold; Obtain the mold surface image data and import it into the surface deformation analysis model to analyze the surface deformation information; Obtain the analysis results of the internal defects and external deformation information of the mold, and import them into the mold life analysis strategy to analyze the remaining life of the mold; Based on the remaining life of the mold obtained through analysis, an early warning for mold replacement is issued.

[0005] As a preferred technical solution of a mold nondestructive testing method based on data analysis, the method of obtaining a three-dimensional image of the mold to be tested, detecting defect information inside the mold by X-ray, and displaying it at a corresponding position of the three-dimensional image, and obtaining image data of the mold surface at the same time includes the following specific steps: S11, obtaining the three-dimensional image data of the mold to be inspected when it was designed, placing the mold in an X-ray inspection device to perform X-ray internal defect imaging, and facing the six surfaces of the mold to be inspected to the X-ray emitter respectively, obtaining the length, width and corresponding position characteristics of the internal defects of the mold, and displaying them at the corresponding position on the three-dimensional image of the mold to be inspected when it was designed; S12, acquiring contour data and outer surface image data of the mold to be inspected through an image acquisition terminal, and storing them in a storage component.

[0006] As a preferred technical solution of a mold nondestructive testing method based on data analysis, the method of obtaining the internal defect information of the mold and importing it into a defect information analysis model to perform internal defect information analysis of the mold includes the following specific contents: S21, obtaining the length, width and corresponding position characteristics of the defect information inside the mold, and at the same time obtaining the corresponding center position of the maximum width of the corresponding defect and setting it as the defect center position, taking one of the defect center positions as the set center position, obtaining the distances from the center positions of all other defects to the set center position, substituting the distances into the summation formula to calculate the sum of the distances from the center positions of other defects to the set center position, obtaining the shortest distance and the corresponding set center position and setting it as the calibration center position, setting the defect corresponding to the calibration center position as the center defect, and obtaining the distances from the calibration center position to the center positions of other defects; S22. Obtain the length and width of the defect information and substitute them into the defect abnormal value calculation formula to calculate the defect abnormal value, wherein the defect abnormal value calculation formula for the i-th defect is: , where exp() is the power of e, m is the width ratio, kdi is the maximum width data of the i-th defect, and cdi is the length data of the i-th defect. is the standard value of width, is the standard value of length; S23, obtain the defect abnormality values ​​of all defects and the distance from the center position of all defects to the calibrated center position, and import them into the defect information analysis value calculation formula to calculate the defect information analysis value. The defect information analysis value calculation formula is: , where sw is the side length of the mold, ci is the distance from the center position of the i-th defect to the calibrated center position, and N is the number of defects; As a preferred technical solution of a mold nondestructive testing method based on data analysis, the acquisition of mold surface image data and importing it into a surface deformation analysis model for surface deformation information analysis includes the following specific steps: S31, obtaining an image profile of a side of the mold to be inspected facing the mold base and an image profile of a side of the finished mold facing the mold base, and simultaneously obtaining depth data of each corresponding point of the side of the mold to be inspected facing the mold base, and obtaining depth data of each corresponding point of the side of the finished mold facing the mold base; S32, importing the acquired image contour of the side of the to-be-detected mold facing the mold base and the acquired image contour of the side of the finished mold facing the mold base into a contour difference value calculation formula to calculate the contour difference value, wherein the contour difference value calculation formula is: , where s() is the area of ​​the contour in brackets, is the image profile of the side of the mold to be inspected facing the mold blank. The image profile of the side of the finished mold facing the mold blank; S33, obtaining the depth data of each corresponding point on the side of the to-be-detected mold facing the mold base, obtaining the depth data of each corresponding point on the side of the finished mold facing the mold base, importing the obtained depth data of each corresponding point on the side of the to-be-detected mold facing the mold base and the depth data of each corresponding point on the side of the finished mold facing the mold base into a depth difference value calculation formula to calculate the depth difference value, wherein the depth difference value calculation formula is: , where M is the number of corresponding points, sdjy is the depth data of the jth corresponding point on the side of the mold to be tested facing the mold blank, and sdjx is the depth data of the jth corresponding point on the side of the finished mold facing the mold blank; S34, obtaining the calculated contour difference value and depth difference value and importing them into the surface deformation analysis value calculation formula to calculate the surface deformation analysis value, wherein the surface deformation analysis value calculation formula is: , where p is the image contour ratio.

[0007] As a preferred technical solution of a mold nondestructive testing method based on data analysis, the method of obtaining the analysis results of the internal defect information and the external deformation information of the mold and importing them into the mold life analysis strategy to analyze the remaining life of the mold includes the following specific steps: S41, obtaining the calculated defect information analysis value, surface deformation analysis value and mold use time; S42, substituting the defect information analysis value, the surface deformation analysis value and the number of times the mold is used into the mold remaining service life calculation formula to calculate the mold remaining service life, wherein the mold remaining service life calculation formula is: , where Tm is the mold usage time, xmax is the set abnormal threshold, is the defect information analysis value ratio.

[0008] As a preferred technical solution of a mold nondestructive testing method based on data analysis, the specific steps of early warning of mold replacement based on the remaining life of the mold obtained by analysis are as follows: The obtained mold remaining life is compared with the replacement life threshold. If the obtained mold remaining life is greater than or equal to the replacement life threshold, no replacement life warning is issued. If the obtained mold remaining life is less than the replacement life threshold, a replacement life warning is issued.

[0009] A mold nondestructive testing system based on data analysis is implemented based on the above-mentioned mold nondestructive testing method based on data analysis, and specifically includes: The data acquisition module is used to obtain a three-dimensional image of the mold to be inspected, detect the defect information inside the mold through X-rays, and display it at the corresponding position of the three-dimensional image, and obtain the image data of the mold surface at the same time; A defect information analysis module is used to obtain the defect information inside the mold and import it into the defect information analysis model to perform defect information analysis inside the mold; A deformation information analysis module is used to obtain mold surface image data and import it into the surface deformation analysis model to perform surface deformation information analysis; The mold remaining life module is used to obtain the analysis results of the mold's internal defect information and surface deformation information, and import them into the mold life analysis strategy to analyze the mold's remaining life; Replacement warning module, used to warn of mold replacement based on the remaining life of the mold obtained through analysis; The control module is used to control the operation of the data acquisition module, the defect information analysis module, the deformation information analysis module, the mold remaining life module and the replacement warning module.

[0010] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned mold non-destructive testing method based on data analysis by calling the computer program stored in the memory.

[0011] A computer-readable storage medium stores instructions. When the instructions are executed on a computer, the computer is enabled to execute the above-mentioned mold non-destructive testing method based on data analysis.

[0012] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains a three-dimensional image of a mold to be inspected, detects defect information inside the mold through X-rays, and displays the information at a corresponding position of the three-dimensional image, and simultaneously obtains image data of the mold surface, obtains defect information inside the mold, and imports the information into a defect information analysis model to perform analysis on the defect information inside the mold, obtains image data of the mold surface, and imports the information into a surface deformation analysis model to perform analysis on the surface deformation information, obtains analysis results of the internal defect information of the mold and analysis results of the surface deformation information of the mold, and imports the results into a mold life analysis strategy to perform analysis on the remaining life of the mold, and gives an early warning of mold replacement based on the remaining life of the mold obtained by the analysis, and performs a comprehensive analysis of the internal defect information and the surface deformation information of the mold during use, and performs real-time and accurate estimation of the remaining life of the mold, thereby improving the efficiency and accuracy of judging the mold life. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] 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 or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0014] Figure 1 It is a schematic diagram of the overall process of a mold nondestructive testing method based on data analysis of the present invention; Figure 2 It is a schematic flow chart of the steps of the surface deformation analysis model in a mold nondestructive testing method based on data analysis of the present invention; Figure 3 The figure is a schematic diagram of the overall framework of a mold nondestructive testing system based on data analysis of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0016] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0017] Example 1

[0018] See also Figure 1-Figure 2, an embodiment provided by the present invention: the technical problem solved by this embodiment is: most of the existing technologies quantitatively analyze the damage degree of the mold through the damage on the surface or inside of the mold, and cannot comprehensively analyze the internal defect information and the surface deformation information of the mold during use, so that the remaining life of the mold cannot be accurately estimated in real time, which reduces the judgment efficiency and accuracy of the mold life; A mold nondestructive testing method based on data analysis includes the following specific steps: Obtain a three-dimensional image of the mold to be inspected, detect the defect information inside the mold through X-rays, and display it at the corresponding position of the three-dimensional image, and obtain the image data of the mold surface at the same time; Obtain the defect information inside the mold and import it into the defect information analysis model to perform defect information analysis inside the mold; Obtain the mold surface image data and import it into the surface deformation analysis model to analyze the surface deformation information; Obtain the analysis results of the internal defects and external deformation information of the mold, and import them into the mold life analysis strategy to analyze the remaining life of the mold; Provide early warning for mold replacement based on the remaining mold life obtained through analysis; In a specific embodiment of the present invention, obtaining a three-dimensional image of a mold to be inspected, detecting defect information inside the mold by X-ray, and displaying it at a corresponding position of the three-dimensional image, and obtaining image data of the mold surface at the same time include the following specific steps: S11, obtaining the three-dimensional image data of the mold to be inspected when it was designed, placing the mold in an X-ray inspection device to perform X-ray internal defect imaging, and facing the six surfaces of the mold to be inspected to the X-ray emitter respectively, obtaining the length, width and corresponding position characteristics of the internal defects of the mold, and displaying them at the corresponding position on the three-dimensional image of the mold to be inspected when it was designed; It should be noted that placing the mold in an X-ray inspection device to image internal defects and mapping the inspection results to the 3D design image of the mold is a systematic process. The following are the specific steps: 3D model preparation: Export the 3D model of the mold from the CAD software and prepare it for real-time marking during the inspection process; Place the mold in a suitable position for the X-ray inspection equipment to ensure that the mold can be rotated and adjusted stably; Face-by-face detection: Rotate the mold so that each surface faces the X-ray emitter; Perform X-ray imaging on each surface to obtain clear images of the internal structure; Image capture: Capture X-ray images of each surface and ensure that the image quality meets the requirements for defect identification; Analyze each X-ray image, identify internal defects, and measure the length, width, and location of the defects; Coordinate correspondence: coordinate the defect position on the X-ray image with the three-dimensional model of the mold; Defect location: Use the software provided by the inspection equipment to map the defect location data onto the 3D model; 3D display: mark the location of the defect on the 3D model and use different colors or symbols to indicate the length and width of the defect; Generate report: Generate a test report containing defect image, size, location and 3D mapping image based on the test results; S12, acquiring contour data and outer surface image data of the mold to be inspected through an image acquisition terminal, and storing them in a storage component.

[0019] In a specific embodiment of the present invention, obtaining the internal defect information of the mold and importing it into the defect information analysis model to perform internal defect information analysis of the mold includes the following specific contents: S21, obtaining the length, width and corresponding position characteristics of the defect information inside the mold, and at the same time obtaining the corresponding center position of the maximum width of the corresponding defect and setting it as the defect center position, taking one of the defect center positions as the set center position, obtaining the distances from the center positions of all other defects to the set center position, substituting the distances into the summation formula to calculate the sum of the distances from the center positions of other defects to the set center position, obtaining the shortest distance and the corresponding set center position and setting it as the calibration center position, setting the defect corresponding to the calibration center position as the center defect, and obtaining the distances from the calibration center position to the center positions of other defects; S22. Obtain the length and width of the defect information and substitute them into the defect abnormal value calculation formula to calculate the defect abnormal value, wherein the defect abnormal value calculation formula for the i-th defect is: , where exp() is the power of e, m is the width ratio, kdi is the maximum width data of the i-th defect, and cdi is the length data of the i-th defect. is the standard value of width, is the standard value of length; S23, obtain the defect abnormality values ​​of all defects and the distance from the center position of all defects to the calibrated center position, and import them into the defect information analysis value calculation formula to calculate the defect information analysis value. The defect information analysis value calculation formula is: , where sw is the side length of the mold, ci is the distance from the center position of the i-th defect to the calibrated center position, and N is the number of defects; In a specific embodiment of the present invention, obtaining mold surface image data and importing it into the surface deformation analysis model to perform surface deformation information analysis includes the following specific steps: S31, obtaining an image profile of a side of the mold to be inspected facing the mold base and an image profile of a side of the finished mold facing the mold base, and simultaneously obtaining depth data of each corresponding point of the side of the mold to be inspected facing the mold base, and obtaining depth data of each corresponding point of the side of the finished mold facing the mold base; When performing non-destructive testing on the mold, the abnormal conditions of the mold can be effectively analyzed by obtaining the image profile and depth data of the mold surface. The specific steps are as follows: S311, image contour acquisition: Use a high-precision industrial camera to capture images of the side of the mold to be inspected and the finished mold facing the mold blank; obtain the image contour of the mold surface through image processing technology (such as edge detection, contour extraction, etc.); S312, deep data acquisition: Using a 3D scanner, a depth sensor or an optical measurement system, etc., to obtain the depth data of each corresponding point on the side of the mold to be inspected and the finished mold facing the mold blank; S313, Data Processing and Analysis Data alignment: First, the image contours and depth data of the mold to be inspected and the finished mold need to be aligned to ensure the consistency of the corresponding points; Contour comparison: Compare the image contour of the mold to be inspected with the image contour of the finished mold to analyze the difference between the two; Depth data analysis: Compare the depth data of the corresponding points of the mold to be inspected and the finished mold to check whether there is any deviation or abnormality; S32, importing the acquired image contour of the side of the to-be-detected mold facing the mold base and the acquired image contour of the side of the finished mold facing the mold base into a contour difference value calculation formula to calculate the contour difference value, wherein the contour difference value calculation formula is: , where s() is the area of ​​the contour in brackets, is the image profile of the side of the mold to be inspected facing the mold blank. The image profile of the side of the finished mold facing the mold blank; S33, obtaining the depth data of each corresponding point on the side of the to-be-detected mold facing the mold base, obtaining the depth data of each corresponding point on the side of the finished mold facing the mold base, importing the obtained depth data of each corresponding point on the side of the to-be-detected mold facing the mold base and the depth data of each corresponding point on the side of the finished mold facing the mold base into a depth difference value calculation formula to calculate the depth difference value, wherein the depth difference value calculation formula is: , where M is the number of corresponding points, sdjy is the depth data of the jth corresponding point on the side of the mold to be tested facing the mold blank, and sdjx is the depth data of the jth corresponding point on the side of the finished mold facing the mold blank; S34, obtaining the calculated contour difference value and depth difference value and importing them into the surface deformation analysis value calculation formula to calculate the surface deformation analysis value, wherein the surface deformation analysis value calculation formula is: , where p is the image contour ratio; In a specific embodiment of the present invention, obtaining the analysis results of the internal defect information and the surface deformation information of the mold, and importing them into the mold life analysis strategy to analyze the remaining life of the mold includes the following specific steps: S41, obtaining the calculated defect information analysis value, surface deformation analysis value and mold use time; S42, substituting the defect information analysis value, the surface deformation analysis value and the number of times the mold is used into the mold remaining service life calculation formula to calculate the mold remaining service life, wherein the mold remaining service life calculation formula is: , where Tm is the mold usage time, xmax is the set abnormal threshold, is the defect information analysis value ratio coefficient; In a specific embodiment of the present invention, the specific steps of early warning of mold replacement based on the remaining life of the mold obtained by analysis are as follows: The obtained remaining life of the mold is compared with the replacement life threshold. If the obtained remaining life of the mold is greater than or equal to the replacement life threshold, no replacement life warning is issued. If the obtained remaining life of the mold is less than the replacement life threshold, a replacement life warning is issued. In mold life management, predicting and monitoring the remaining life of the mold is a key link. Once it is determined that a replacement life warning is needed, the system will generate a warning report and notify relevant personnel through appropriate means, such as sending emails, text messages, or pop-up prompts in the production management system. Based on the warning, the production management personnel will arrange for inspection, maintenance or replacement of the mold to ensure production safety and efficiency; Through such management and decision-making process, the service life of molds can be effectively extended, unexpected downtime can be reduced, production efficiency can be improved and costs can be reduced; It should be noted that the standard value of width, the ratio of width, the standard value of length, the ratio of image contour, the set abnormal threshold and the ratio of defect information analysis value are obtained as follows: at least five thousand sets of historical internal defect information of the mold and the image data of the mold surface are obtained, the actual remaining service life of the mold is extracted, the historical internal defect information of the mold and the image data of the mold surface are substituted into the mold remaining service life calculation formula to calculate the remaining service life of the mold, the calculated remaining service life of the mold and the actual remaining service life are imported into the fitting software, and the standard value of width, the ratio of width, the standard value of length, the ratio of image contour, the set abnormal threshold and the ratio of defect information analysis value that meet the highest judgment accuracy are output; It should be noted here that the advantages of this embodiment over the prior art are: obtaining a three-dimensional image of the mold to be inspected, detecting defect information inside the mold through X-rays, and displaying it at the corresponding position of the three-dimensional image, while obtaining image data of the mold surface, obtaining defect information inside the mold and importing it into a defect information analysis model to perform internal defect information analysis on the mold, obtaining image data of the mold surface and importing it into a surface deformation analysis model to perform surface deformation information analysis on the mold, obtaining analysis results of the internal defect information and the surface deformation information of the mold, importing them into a mold life analysis strategy to perform analysis on the remaining life of the mold, and issuing an early warning for mold replacement based on the remaining life of the mold obtained from the analysis, and performing a comprehensive analysis of the internal defect information and the surface deformation information of the mold during use to accurately estimate the remaining life of the mold in real time, thereby improving the efficiency and accuracy of judging the mold life.

[0020] Example 2

[0021] like Figure 3 As shown, a mold nondestructive testing system based on data analysis is implemented based on the above-mentioned mold nondestructive testing method based on data analysis, and specifically includes: a data acquisition module, which is used to obtain a three-dimensional image of the mold to be tested, detect the defect information inside the mold by X-ray, and display it at the corresponding position of the three-dimensional image, and obtain the mold surface image data at the same time; A defect information analysis module is used to obtain the defect information inside the mold and import it into the defect information analysis model to perform defect information analysis inside the mold; A deformation information analysis module is used to obtain mold surface image data and import it into the surface deformation analysis model to perform surface deformation information analysis; The mold remaining life module is used to obtain the analysis results of the mold's internal defect information and surface deformation information, and import them into the mold life analysis strategy to analyze the mold's remaining life; Replacement warning module, used to warn of mold replacement based on the remaining life of the mold obtained through analysis; The control module is used to control the operation of the data acquisition module, the defect information analysis module, the deformation information analysis module, the mold remaining life module and the replacement warning module.

[0022] Example 3

[0023] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned mold non-destructive testing method based on data analysis by calling the computer program stored in the memory.

[0024] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement a mold non-destructive testing method based on data analysis provided in the above method embodiment.

[0025] Example 4

[0026] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned mold nondestructive testing method based on data analysis.

[0027] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

Claims

1. A mold nondestructive testing method based on data analysis, characterized in that: It includes the following specific steps: Obtain a three-dimensional image of the mold to be inspected, detect the defect information inside the mold through X-rays, and display it at the corresponding position of the three-dimensional image, and obtain the image data of the mold surface at the same time; Obtain the defect information inside the mold and import it into the defect information analysis model to perform defect information analysis inside the mold; Obtain the mold surface image data and import it into the surface deformation analysis model to analyze the surface deformation information; Obtain the analysis results of the internal defects and external deformation information of the mold, and import them into the mold life analysis strategy to analyze the remaining life of the mold; Based on the remaining life of the mold obtained through analysis, an early warning for mold replacement is issued.

2. A mold nondestructive testing method based on data analysis as claimed in claim 1, characterized in that: The method of obtaining the internal defect information of the mold and importing it into the defect information analysis model to perform internal defect information analysis of the mold includes the following specific contents: S21, obtaining the length, width and corresponding position characteristics of the defect information inside the mold, and at the same time obtaining the corresponding center position of the maximum width of the corresponding defect and setting it as the defect center position, taking one of the defect center positions as the set center position, obtaining the distances from the center positions of all other defects to the set center position, substituting the distances into the summation formula to calculate the sum of the distances from the center positions of other defects to the set center position, obtaining the shortest distance and the corresponding set center position and setting it as the calibration center position, setting the defect corresponding to the calibration center position as the center defect, and obtaining the distances from the calibration center position to the center positions of other defects; S22. Obtain the length and width of the defect information and substitute them into the defect abnormal value calculation formula to calculate the defect abnormal value, wherein the defect abnormal value calculation formula for the i-th defect is: , where exp() is the power of e, m is the width ratio, kdi is the maximum width data of the i-th defect, and cdi is the length data of the i-th defect. is the standard value of width, is the standard value of length; S23, obtain the defect abnormality values ​​of all defects and the distance from the center position of all defects to the calibrated center position, and import them into the defect information analysis value calculation formula to calculate the defect information analysis value. The defect information analysis value calculation formula is: , where sw is the side length of the mold, ci is the distance from the center position of the i-th defect to the calibrated center position, and N is the number of defects.

3. A mold nondestructive testing method based on data analysis as claimed in claim 2, characterized in that: The method of obtaining mold surface image data and importing it into the surface deformation analysis model to perform surface deformation information analysis includes the following specific steps: S31, obtaining an image profile of a side of the mold to be inspected facing the mold base and an image profile of a side of the finished mold facing the mold base, and simultaneously obtaining depth data of each corresponding point of the side of the mold to be inspected facing the mold base, and obtaining depth data of each corresponding point of the side of the finished mold facing the mold base; S32, importing the acquired image contour of the side of the to-be-detected mold facing the mold base and the acquired image contour of the side of the finished mold facing the mold base into a contour difference value calculation formula to calculate the contour difference value, wherein the contour difference value calculation formula is: , where s() is the area of ​​the contour in brackets, is the image profile of the side of the mold to be inspected facing the mold blank. It is the image outline of the side of the finished mold facing the mold blank.

4. A mold nondestructive testing method based on data analysis as claimed in claim 3, characterized in that: The step of acquiring mold surface image data and importing it into the surface deformation analysis model to perform surface deformation information analysis also includes the following specific steps: S33, obtaining the depth data of each corresponding point on the side of the to-be-detected mold facing the mold base, obtaining the depth data of each corresponding point on the side of the finished mold facing the mold base, importing the obtained depth data of each corresponding point on the side of the to-be-detected mold facing the mold base and the depth data of each corresponding point on the side of the finished mold facing the mold base into a depth difference value calculation formula to calculate the depth difference value, wherein the depth difference value calculation formula is: , where M is the number of corresponding points, sdjy is the depth data of the jth corresponding point on the side of the mold to be tested facing the mold blank, and sdjx is the depth data of the jth corresponding point on the side of the finished mold facing the mold blank; S34, obtaining the calculated contour difference value and depth difference value and importing them into the surface deformation analysis value calculation formula to calculate the surface deformation analysis value, wherein the surface deformation analysis value calculation formula is: , where p is the image contour ratio.

5. A mold nondestructive testing method based on data analysis as claimed in claim 4, characterized in that: The steps of obtaining the analysis results of the internal defect information and the external deformation information of the mold and importing them into the mold life analysis strategy to analyze the remaining life of the mold include the following specific steps: S41, obtaining the calculated defect information analysis value, surface deformation analysis value and mold use time; S42, substituting the defect information analysis value, the surface deformation analysis value and the number of times the mold is used into the mold remaining service life calculation formula to calculate the mold remaining service life, wherein the mold remaining service life calculation formula is: , where Tm is the mold usage time, xmax is the set abnormal threshold, is the defect information analysis value ratio.

6. A mold nondestructive testing method based on data analysis as claimed in claim 5, characterized in that: The specific steps of early warning of mold replacement based on the remaining life of the mold obtained by analysis are as follows: The obtained mold remaining life is compared with the replacement life threshold. If the obtained mold remaining life is greater than or equal to the replacement life threshold, no replacement life warning is issued. If the obtained mold remaining life is less than the replacement life threshold, a replacement life warning is issued.

7. The mold nondestructive testing method based on data analysis according to claim 1, characterized in that: The method of obtaining a three-dimensional image of the mold to be inspected, detecting defect information inside the mold by X-ray, and displaying the defect information at a corresponding position of the three-dimensional image, and obtaining image data of the mold surface at the same time includes the following specific steps: S11, obtaining the three-dimensional image data of the mold to be inspected when it was designed, placing the mold in an X-ray inspection device to perform X-ray internal defect imaging, and facing the six surfaces of the mold to be inspected to the X-ray emitter respectively, obtaining the length, width and corresponding position characteristics of the internal defects of the mold, and displaying them at the corresponding position on the three-dimensional image of the mold to be inspected when it was designed; S12, acquiring contour data and outer surface image data of the mold to be inspected through an image acquisition terminal, and storing them in a storage component.

8. A mold non-destructive testing system based on data analysis, which is implemented based on the mold non-destructive testing method based on data analysis according to any one of claims 1 to 7, characterized in that: Specifically include: The data acquisition module is used to obtain a three-dimensional image of the mold to be inspected, detect the defect information inside the mold through X-rays, and display it at the corresponding position of the three-dimensional image, and obtain the image data of the mold surface at the same time; A defect information analysis module is used to obtain the defect information inside the mold and import it into the defect information analysis model to perform defect information analysis inside the mold; A deformation information analysis module is used to obtain mold surface image data and import it into the surface deformation analysis model to perform surface deformation information analysis; The mold remaining life module is used to obtain the analysis results of the mold's internal defect information and surface deformation information, and import them into the mold life analysis strategy to analyze the mold's remaining life; Replacement warning module, used to warn of mold replacement based on the remaining life of the mold obtained through analysis; The control module is used to control the operation of the data acquisition module, the defect information analysis module, the deformation information analysis module, the mold remaining life module and the replacement warning module.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the mold non-destructive testing method based on data analysis as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute a mold non-destructive testing method based on data analysis as described in any one of claims 1 to 7.

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