Method and device for automatically detecting machining precision of titanium alloy thin-wall part

Abstract

The invention relates to the technical field of machining, and provides a titanium alloy thin-wall part machining precision automatic detection method and device. The method comprises the steps of performing heating treatment on an object to be detected and a compliant part corresponding to the object to be detected in a preset time period, and performing global shooting on the object to be detected and the compliant part in the process of performing heating treatment on the object to be detected and the compliant part, obtaining a first thermal imaging video set corresponding to the to-be-measured object and a second thermal imaging video set corresponding to the compliant part; for each first thermal imaging video, determining a target second thermal imaging video matched with the first thermal imaging video in the second thermal imaging video set, and performing comparative analysis on the first thermal imaging video and the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; and generating a processing precision detection result corresponding to the to-be-detected object based on each piece of target difference information. The method improves the detection precision.

Description

Technical Field

[0001] The present application relates to the field of mechanical processing technology, and in particular to a method and device for automatically detecting the processing accuracy of titanium alloy thin-walled parts. Background Art

[0002] Titanium alloys are widely used in aerospace, medical equipment, automobile manufacturing, marine engineering and other fields due to their excellent physical and chemical properties, such as high strength, low density, good corrosion resistance and biocompatibility. Especially in the field of aerospace, titanium alloy thin-walled parts have become the preferred material for important parts such as aircraft engines and fuselage structures due to their lightweight and high strength characteristics. However, the high strength and low thermal conductivity of titanium alloy materials themselves make their processing extremely difficult, especially in the processing of thin-walled structural parts, deformation, internal stress concentration and other problems often occur, which seriously affect the processing accuracy and service performance of parts. Therefore, the processing accuracy detection of titanium alloy thin-walled parts has become a key link in titanium alloy thin-walled parts.

[0003] Traditional titanium alloy thin-walled parts machining accuracy detection methods mainly rely on contact measuring equipment such as three-dimensional coordinate measuring machines. Although these methods can provide high-precision measurement results, contact measuring equipment may cause slight deformation of thin-walled parts during the measurement process, affecting the measurement accuracy. Summary of the invention

[0004] The present application provides a method and device for automatically detecting the machining accuracy of titanium alloy thin-walled parts to solve the problems raised by the above-mentioned background technology.

[0005] In a first aspect, the present application provides a method for automatically detecting machining accuracy of titanium alloy thin-walled parts, comprising: Based on a preset heating rule, a heating treatment is performed on the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period, and in the process of heating the object to be tested and the compliant parts, the object to be tested and the compliant parts are globally photographed based on a preset thermal imaging module to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes a plurality of first thermal imaging videos, the second thermal imaging video set includes a plurality of second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos; For each of the first thermal imaging videos, a target second thermal imaging video matching the first thermal imaging video is determined in the second thermal imaging video set, and the first thermal imaging video is compared and analyzed with the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video; Generate a machining accuracy test result corresponding to the object to be tested based on each of the target difference information; Based on the machining accuracy detection result, it is determined whether the machining accuracy of the object to be tested meets the standard.

[0006] In a possible implementation, the comparing and analyzing the first thermal imaging video and the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video includes: Performing frame processing on the first thermal imaging video to obtain a plurality of first video frames, and arranging the first video frames in sequence based on a playback order corresponding to each of the first video frames in the first thermal imaging video to obtain a first video frame sequence; Performing frame processing on the second thermal imaging video to obtain a plurality of second video frames, and arranging the second video frames in sequence based on the corresponding playback order of the second video frames in the second thermal imaging video to obtain a second video frame sequence; For each of the first video frames, determining a target second video frame corresponding to the first video frame in the second video frame sequence, and performing comparative analysis on the first video frame and the target second video frame to obtain initial difference information between the first video frame and the target second video frame; wherein the order in which the first video frames correspond in the first video frame sequence is consistent with the order in which the target second video frames correspond in the second video frame sequence; The target difference information is generated based on each of the initial difference information.

[0007] In a possible implementation, the comparing and analyzing the first video frame and the target second video frame to obtain initial difference information between the first video frame and the target second video frame includes: For each first pixel of the first video frame, determine a target second pixel corresponding to the first pixel in the target second video frame, obtain a first chromaticity value and a second chromaticity value based on a preset image processing algorithm, and calculate an absolute value of a difference between the first chromaticity value and the second chromaticity value; wherein a position corresponding to the first pixel in the first video frame is consistent with a position corresponding to the second pixel in the second video frame, the first chromaticity value is a chromaticity value corresponding to the first pixel, and the second chromaticity value is a chromaticity value corresponding to the target second pixel; The absolute values ​​are added together to obtain the initial difference information.

[0008] In a possible implementation manner, the generating the target difference information based on each of the initial difference information includes: The numerical values ​​corresponding to the various initial difference information are added together to obtain the target difference information.

[0009] In a possible implementation, the generating of the machining accuracy test result corresponding to the object to be tested based on each of the target difference information includes: The numerical values ​​corresponding to the target difference information are added together to obtain the machining accuracy detection result.

[0010] In a possible implementation manner, after judging whether the machining accuracy of the object to be tested meets the standard based on the machining accuracy detection result, the method further includes: For each of the first thermal imaging videos, the first thermal imaging video is frame-processed to obtain a plurality of first video frames corresponding to the first thermal imaging video, and the target chromaticity values ​​corresponding to each of the first video frames are respectively obtained, and the target chromaticity values ​​are arranged in order from large to small to obtain a coding sequence corresponding to the first thermal imaging video; wherein, for each of the first video frames, the target chromaticity value corresponding to the first video frame is the maximum chromaticity value among the chromaticity values ​​corresponding to each pixel in the first video frame; Arrange the coding sequences in order from top to bottom based on a preset coding sequence sorting rule to obtain the target feature matrix; Binding the target feature matrix with the machining accuracy detection result to obtain a binding result; The binding result is stored in the target data storage unit corresponding to the object to be tested.

[0011] In a possible implementation, storing the binding result in a target data storage unit corresponding to the object to be tested includes: Obtaining a part model corresponding to the object to be tested; wherein the part model includes multiple characters; Performing hash operations on each character of the part model based on a preset hash algorithm to obtain a hash value corresponding to each character; wherein each hash value includes the same number of letters and numbers; For each of the hash values, arrange the letters in the hash value in sequence to obtain a letter sequence corresponding to the hash value, and arrange the numbers in the hash value in sequence to obtain a number sequence corresponding to the hash value; Based on a preset letter sequence sorting rule, the letter sequences are arranged in order from top to bottom to obtain a letter matrix, and based on a preset number sequence sorting rule, the number sequences are arranged in order from top to bottom to obtain a number matrix; Obtaining a transposed matrix corresponding to the letter matrix, and multiplying the digital matrix by the transposed matrix to obtain a decryption matrix; Decrypting each data storage unit in the database using the decryption matrix, and determining the data storage unit that is successfully decrypted as the target data storage unit; The binding result is stored in the target data storage unit.

[0012] In a second aspect, the present application provides a titanium alloy thin-walled parts processing accuracy automatic detection device, comprising: A heating processing module, used to heat the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period based on a preset heating rule, and to globally photograph the object to be tested and the compliant parts based on a preset thermal imaging module during the heating process to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes a plurality of first thermal imaging videos, the second thermal imaging video set includes a plurality of second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos; a comparison and analysis module, for determining, for each of the first thermal imaging videos, a target second thermal imaging video that matches the first thermal imaging video in the second thermal imaging video set, and performing comparison and analysis on the first thermal imaging video and the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video; A generating module, used for generating a machining accuracy detection result corresponding to the object to be tested based on each of the target difference information; A judgment module is used to judge whether the machining accuracy of the object to be tested meets the standard based on the machining accuracy detection result.

[0013] The present application provides a method and device for automatically detecting the machining accuracy of titanium alloy thin-walled parts, wherein the method comprises: heating the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period based on a preset heating rule, and globally photographing the object to be tested and the compliant parts based on a preset thermal imaging module during the heating process of the object to be tested and the compliant parts, to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes a plurality of first thermal imaging videos, and the second thermal imaging video set includes a plurality of second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos; for each of the first Thermal imaging video, determine the target second thermal imaging video matching the first thermal imaging video in the second thermal imaging video set, and compare and analyze the first thermal imaging video with the target second thermal imaging video to obtain the target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video; based on each of the target difference information, generate the processing accuracy detection result corresponding to the object to be tested; based on the processing accuracy detection result, judge whether the processing accuracy of the object to be tested meets the standard. This method, on the one hand, uses thermal imaging technology to perform non-contact detection of the processing accuracy of the object to be tested, avoids the secondary damage that may be caused to the object to be tested by the traditional contact detection method, and protects the integrity of the object to be tested; on the other hand, by performing frame-by-frame pixel-level comparison and analysis of each of the first thermal imaging video and each of the second thermal imaging video, it can accurately detect the slight difference between the part to be tested and the compliant part, thereby improving the detection accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0015] Figure 1 A schematic diagram of a process for automatically detecting machining accuracy of titanium alloy thin-walled parts provided in an embodiment of the present application; Figure 2 A schematic block diagram of the structure of an automatic detection device for machining accuracy of titanium alloy thin-walled parts provided in an embodiment of the present application; Figure 3 A schematic block diagram of the structure of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change based on actual conditions.

[0018] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0019] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0020] Titanium alloys are widely used in aerospace, medical equipment, automobile manufacturing, marine engineering and other fields due to their excellent physical and chemical properties, such as high strength, low density, good corrosion resistance and biocompatibility. Especially in the field of aerospace, titanium alloy thin-walled parts have become the preferred material for important parts such as aircraft engines and fuselage structures due to their lightweight and high strength characteristics. However, the high strength and low thermal conductivity of titanium alloy materials themselves make their processing extremely difficult, especially in the processing of thin-walled structural parts, deformation, internal stress concentration and other problems often occur, which seriously affect the processing accuracy and service performance of parts. Therefore, the processing accuracy detection of titanium alloy thin-walled parts has become a key link in titanium alloy thin-walled parts.

[0021] Traditional methods for detecting machining accuracy of titanium alloy thin-walled parts mainly rely on contact measuring equipment such as three-dimensional coordinate measuring machines. Although these methods can provide high-precision measurement results, contact measuring equipment may cause slight deformation of thin-walled parts during the measurement process, affecting the measurement accuracy. To this end, the present application embodiment provides a method and device for automatically detecting machining accuracy of titanium alloy thin-walled parts to solve the above problems.

[0022] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0023] See also Figure 1 , Figure 1 A schematic diagram of a process flow of a method for automatically detecting machining accuracy of titanium alloy thin-walled parts provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method for automatically detecting machining accuracy of titanium alloy thin-walled parts provided in the embodiment of the present application includes steps S1 to S4.

[0024] Step S1, based on a preset heating rule, heat the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period, and in the process of heating the object to be tested and the compliant parts, globally shoot the object to be tested and the compliant parts based on a preset thermal imaging module to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes multiple first thermal imaging videos, the second thermal imaging video set includes multiple second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos.

[0025] Among them, the qualified parts are standard parts of the same model as the object to be tested, and the thermal imager module includes multiple thermal imagers, each of which corresponds to a different shooting angle of the object to be tested and the compliant parts, so as to achieve global shooting of the object to be tested and the compliant parts.

[0026] Step S2: for each of the first thermal imaging videos, determine a target second thermal imaging video that matches the first thermal imaging video in the second thermal imaging video set, and compare and analyze the first thermal imaging video with the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video; Specifically, the comparing and analyzing the first thermal imaging video and the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video includes the following steps: Performing frame processing on the first thermal imaging video to obtain a plurality of first video frames, and arranging the first video frames in sequence based on a playback order corresponding to each of the first video frames in the first thermal imaging video to obtain a first video frame sequence; Performing frame processing on the second thermal imaging video to obtain a plurality of second video frames, and arranging the second video frames in sequence based on the corresponding playback order of the second video frames in the second thermal imaging video to obtain a second video frame sequence; For each of the first video frames, a target second video frame corresponding to the first video frame is determined in the second video frame sequence, and the first video frame is compared and analyzed with the target second video frame to obtain initial difference information between the first video frame and the target second video frame; wherein the order corresponding to the first video frame in the first video frame sequence is consistent with the order corresponding to the target second video frame in the second video frame sequence; specifically, the comparison and analysis of the first video frame and the target second video frame to obtain the initial difference information between the first video frame and the target second video frame includes: for each of the first video frames a first pixel, determining a target second pixel corresponding to the first pixel in the target second video frame, acquiring a first chromaticity value and a second chromaticity value based on a preset image processing algorithm, and calculating an absolute value of a difference between the first chromaticity value and the second chromaticity value; wherein the position corresponding to the first pixel in the first video frame is consistent with the position corresponding to the second pixel in the second video frame, the first chromaticity value is the chromaticity value corresponding to the first pixel, and the second chromaticity value is the chromaticity value corresponding to the target second pixel; adding each of the absolute values ​​to obtain the initial difference information; wherein the image processing algorithm is any one of OpenCV, ImageJ or Adobe Photoshop; The target difference information is generated based on each of the initial difference information; specifically, the numerical values ​​corresponding to each of the initial difference information are added to obtain the target difference information.

[0027] Step S3: generating a machining accuracy test result corresponding to the object to be tested based on each of the target difference information.

[0028] Specifically, the numerical values ​​corresponding to the respective target difference information are added together to obtain the machining accuracy detection result.

[0029] Step S4: judging whether the machining accuracy of the object to be tested meets the standard based on the machining accuracy detection result.

[0030] Specifically, the numerical value corresponding to the machining accuracy detection result is compared with a preset numerical value, and when the numerical value corresponding to the machining accuracy detection result is smaller than the preset numerical value, it is determined that the machining accuracy of the object to be tested meets the standard.

[0031] The method provided in this embodiment, on the one hand, performs non-contact detection of the processing accuracy of the object to be tested through thermal imaging technology, thereby avoiding secondary damage to the object to be tested that may be caused by traditional contact detection methods and protecting the integrity of the object to be tested; on the other hand, by performing frame-by-frame pixel-level comparative analysis of each of the first thermal imaging videos and each of the second thermal imaging videos, it is possible to accurately detect slight differences between the part to be tested and the compliant part, thereby improving detection accuracy.

[0032] In some embodiments, after determining whether the machining accuracy of the object to be tested meets the standard based on the machining accuracy detection result, the method further includes: For each of the first thermal imaging videos, the first thermal imaging video is frame-processed to obtain a plurality of first video frames corresponding to the first thermal imaging video, and the target chromaticity values ​​corresponding to each of the first video frames are respectively obtained, and the target chromaticity values ​​are arranged in order from large to small to obtain a coding sequence corresponding to the first thermal imaging video; wherein, for each of the first video frames, the target chromaticity value corresponding to the first video frame is the maximum chromaticity value among the chromaticity values ​​corresponding to each pixel in the first video frame; specifically, respectively obtaining the target chromaticity value corresponding to each of the first video frames includes: for each of the first video frames, respectively obtaining the first chromaticity value corresponding to each pixel of the first video frame by a preset image processing algorithm, and determining that the maximum pixel value among each of the first chromaticity values ​​is the target chromaticity value corresponding to the first video frame; wherein the image processing algorithm is any one of OpenCV, ImageJ or Adobe Photoshop; Arrange the coding sequences in order from top to bottom based on a preset coding sequence sorting rule to obtain the target feature matrix; Binding the target feature matrix with the machining accuracy detection result to obtain a binding result; The binding result is stored in the target data storage unit corresponding to the object to be tested.

[0033] The method provided in this embodiment binds the target feature matrix with the machining accuracy test result, and stores the binding result in the target data storage unit. On the one hand, it helps with the centralized management and efficient storage of data, providing convenience for subsequent data query and analysis. On the other hand, it achieves the traceability of the machining accuracy test result, facilitating problem location and tracing in subsequent production and quality control.

[0034] In some embodiments, storing the binding result in a target data storage unit corresponding to the object to be tested comprises the following steps: Obtaining a part model corresponding to the object to be tested; wherein the part model includes multiple characters; Performing hash operations on each character of the part model based on a preset hash algorithm to obtain a hash value corresponding to each character; wherein each hash value includes the same number of letters and numbers; For each of the hash values, arrange the letters in the hash value in sequence to obtain a letter sequence corresponding to the hash value, and arrange the numbers in the hash value in sequence to obtain a number sequence corresponding to the hash value; Based on a preset letter sequence sorting rule, the letter sequences are arranged in order from top to bottom to obtain a letter matrix, and based on a preset number sequence sorting rule, the number sequences are arranged in order from top to bottom to obtain a number matrix; Obtaining a transposed matrix corresponding to the letter matrix, and multiplying the digital matrix by the transposed matrix to obtain a decryption matrix; Decrypting each data storage unit in the database using the decryption matrix, and determining the data storage unit that is successfully decrypted as the target data storage unit; The binding result is stored in the target data storage unit.

[0035] It can be understood that the target data storage unit of this embodiment is provided with an encryption password, and storing the binding result in the target data storage unit helps to improve the security of the binding result and prevent the binding result from being tampered with.

[0036] See also Figure 2 , Figure 2 The schematic block diagram of the structure of the automatic detection device 100 for machining accuracy of titanium alloy thin-walled parts provided in the embodiment of the present application is as follows: Figure 2 As shown, the titanium alloy thin-walled parts processing accuracy automatic detection device 100 includes: The heating processing module 110 is used to heat the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period based on a preset heating rule, and to globally capture the object to be tested and the compliant parts based on a preset thermal imaging module during the heating process to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes multiple first thermal imaging videos, the second thermal imaging video set includes multiple second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos.

[0037] The comparison and analysis module 120 is used to determine, for each of the first thermal imaging videos, a target second thermal imaging video that matches the first thermal imaging video in the second thermal imaging video set, and compare and analyze the first thermal imaging video with the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video.

[0038] The generating module 130 is used to generate a machining accuracy detection result corresponding to the object to be detected based on each of the target difference information.

[0039] The judgment module 140 is used to judge whether the machining accuracy of the object to be tested meets the standard based on the machining accuracy detection result.

[0040] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described device and each module can refer to the corresponding process in the aforementioned embodiment of the automatic detection method for machining accuracy of titanium alloy thin-walled parts, and will not be repeated here.

[0041] The titanium alloy thin-walled parts machining accuracy automatic detection device 100 provided in the above embodiment can be implemented in the form of a computer program. The computer program can be used in Figure 3 The system is run on the terminal device 200 shown.

[0042] See also Figure 3 , Figure 3 The present invention provides a schematic block diagram of the structure of a terminal device 200 according to an embodiment of the present application. The terminal device 200 includes a processor 201 and a memory 202. The processor 201 and the memory 202 are connected via a device bus 203, wherein the memory 202 may include a non-volatile storage medium and an internal memory.

[0043] The non-volatile storage medium can store a computer program. The computer program includes program instructions, and when the program instructions are executed by the processor 201, the processor 201 can execute any of the above-mentioned methods for automatically detecting machining accuracy of titanium alloy thin-walled parts.

[0044] The processor 201 is used to provide computing and control capabilities to support the operation of the entire terminal device 200.

[0045] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor 201, the processor 201 can execute any of the above-mentioned methods for automatically detecting the machining accuracy of titanium alloy thin-walled parts.

[0046] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the terminal device 200 involved in the scheme of the present application. The specific terminal device 200 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0047] It should be understood that the processor 201 may be a central processing unit (CPU), and the processor 201 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0048] In some embodiments, the processor 201 is used to run a computer program stored in the memory to implement the following steps: Based on a preset heating rule, a heating treatment is performed on the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period, and in the process of heating the object to be tested and the compliant parts, the object to be tested and the compliant parts are globally photographed based on a preset thermal imaging module to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes a plurality of first thermal imaging videos, the second thermal imaging video set includes a plurality of second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos; For each of the first thermal imaging videos, a target second thermal imaging video matching the first thermal imaging video is determined in the second thermal imaging video set, and the first thermal imaging video is compared and analyzed with the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video; Generate a machining accuracy test result corresponding to the object to be tested based on each of the target difference information; Based on the machining accuracy detection result, it is determined whether the machining accuracy of the object to be tested meets the standard.

[0049] It should be noted that technicians in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working process of the terminal device 200 described above can refer to the corresponding process of the aforementioned titanium alloy thin-walled parts processing accuracy automatic detection method, and will not be repeated here.

[0050] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by one or more processors, the one or more processors implement the automatic detection method for the machining accuracy of titanium alloy thin-walled parts provided in the embodiment of the present application.

[0051] The computer-readable storage medium may be an internal storage unit of the terminal device 200 in the aforementioned embodiment, such as a hard disk or memory of the terminal device 200. The computer-readable storage medium may also be an external storage device of the terminal device 200, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped with the terminal device 200.

[0052] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for automatically detecting machining accuracy of titanium alloy thin-walled parts, characterized in that: include: Based on a preset heating rule, a heating treatment is performed on the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period, and in the process of heating the object to be tested and the compliant parts, the object to be tested and the compliant parts are globally photographed based on a preset thermal imaging module to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes a plurality of first thermal imaging videos, the second thermal imaging video set includes a plurality of second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos; For each of the first thermal imaging videos, a target second thermal imaging video matching the first thermal imaging video is determined in the second thermal imaging video set, and the first thermal imaging video is compared and analyzed with the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video; Generate a machining accuracy test result corresponding to the object to be tested based on each of the target difference information; Based on the machining accuracy detection result, it is determined whether the machining accuracy of the object to be tested meets the standard.

2. The automatic detection method for machining accuracy of titanium alloy thin-walled parts according to claim 1 is characterized in that: The comparing and analyzing the first thermal imaging video and the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video includes: Performing frame processing on the first thermal imaging video to obtain a plurality of first video frames, and arranging the first video frames in sequence based on a playback order corresponding to each of the first video frames in the first thermal imaging video to obtain a first video frame sequence; Performing frame processing on the second thermal imaging video to obtain a plurality of second video frames, and arranging the second video frames in sequence based on the corresponding playback order of the second video frames in the second thermal imaging video to obtain a second video frame sequence; For each of the first video frames, determining a target second video frame corresponding to the first video frame in the second video frame sequence, and performing comparative analysis on the first video frame and the target second video frame to obtain initial difference information between the first video frame and the target second video frame; wherein the order in which the first video frames correspond in the first video frame sequence is consistent with the order in which the target second video frames correspond in the second video frame sequence; The target difference information is generated based on each of the initial difference information.

3. The automatic detection method for machining accuracy of titanium alloy thin-walled parts according to claim 2 is characterized in that: The comparing and analyzing the first video frame with the target second video frame to obtain initial difference information between the first video frame and the target second video frame includes: For each first pixel of the first video frame, determine a target second pixel corresponding to the first pixel in the target second video frame, obtain a first chromaticity value and a second chromaticity value based on a preset image processing algorithm, and calculate an absolute value of a difference between the first chromaticity value and the second chromaticity value; wherein a position corresponding to the first pixel in the first video frame is consistent with a position corresponding to the second pixel in the second video frame, the first chromaticity value is a chromaticity value corresponding to the first pixel, and the second chromaticity value is a chromaticity value corresponding to the target second pixel; The absolute values ​​are added together to obtain the initial difference information.

4. The automatic detection method for machining accuracy of titanium alloy thin-walled parts according to claim 3 is characterized in that: The generating the target difference information based on each of the initial difference information includes: The numerical values ​​corresponding to the various initial difference information are added together to obtain the target difference information.

5. The automatic detection method for machining accuracy of titanium alloy thin-walled parts according to claim 4 is characterized in that: The step of generating a machining accuracy test result corresponding to the object to be tested based on each of the target difference information includes: The numerical values ​​corresponding to the target difference information are added together to obtain the machining accuracy detection result.

6. The automatic detection method for machining accuracy of titanium alloy thin-walled parts according to claim 1 is characterized in that: After judging whether the machining accuracy of the object to be tested meets the standard based on the machining accuracy detection result, the method further includes: For each of the first thermal imaging videos, the first thermal imaging video is frame-processed to obtain a plurality of first video frames corresponding to the first thermal imaging video, and the target chromaticity values ​​corresponding to each of the first video frames are respectively obtained, and the target chromaticity values ​​are arranged in order from large to small to obtain a coding sequence corresponding to the first thermal imaging video; wherein, for each of the first video frames, the target chromaticity value corresponding to the first video frame is the maximum chromaticity value among the chromaticity values ​​corresponding to each pixel in the first video frame; Arrange the coding sequences in order from top to bottom based on a preset coding sequence sorting rule to obtain the target feature matrix; Binding the target feature matrix with the machining accuracy detection result to obtain a binding result; The binding result is stored in the target data storage unit corresponding to the object to be tested.

7. The automatic detection method for machining accuracy of titanium alloy thin-walled parts according to claim 6 is characterized in that: The step of storing the binding result in a target data storage unit corresponding to the object to be tested includes: Obtaining a part model corresponding to the object to be tested; wherein the part model includes multiple characters; Performing hash operations on each character of the part model based on a preset hash algorithm to obtain a hash value corresponding to each character; wherein each hash value includes the same number of letters and numbers; For each of the hash values, arrange the letters in the hash value in sequence to obtain a letter sequence corresponding to the hash value, and arrange the numbers in the hash value in sequence to obtain a number sequence corresponding to the hash value; Based on a preset letter sequence sorting rule, the letter sequences are arranged in order from top to bottom to obtain a letter matrix, and based on a preset number sequence sorting rule, the number sequences are arranged in order from top to bottom to obtain a number matrix; Obtaining a transposed matrix corresponding to the letter matrix, and multiplying the digital matrix by the transposed matrix to obtain a decryption matrix; Decrypting each data storage unit in the database using the decryption matrix, and determining the data storage unit that is successfully decrypted as the target data storage unit; The binding result is stored in the target data storage unit.

8. An automatic detection device for machining accuracy of titanium alloy thin-walled parts, characterized in that: include: A heating processing module, used to heat the object to be tested and the compliant parts corresponding to the object to be tested within a preset time period based on a preset heating rule, and to globally photograph the object to be tested and the compliant parts based on a preset thermal imaging module during the heating process to obtain a first thermal imaging video set corresponding to the object to be tested and a second thermal imaging video set corresponding to the compliant parts; wherein the first thermal imaging video set includes a plurality of first thermal imaging videos, the second thermal imaging video set includes a plurality of second thermal imaging videos, and the number of the first thermal imaging videos is equal to the number of the second thermal imaging videos; a comparison and analysis module, for determining, for each of the first thermal imaging videos, a target second thermal imaging video that matches the first thermal imaging video in the second thermal imaging video set, and performing comparison and analysis on the first thermal imaging video and the target second thermal imaging video to obtain target difference information between the first thermal imaging video and the target second thermal imaging video; wherein the shooting angle corresponding to the first thermal imaging video on the object to be tested is consistent with the shooting angle corresponding to the target second thermal imaging video on the compliant part, and the shooting background corresponding to the first thermal imaging video is consistent with the shooting background corresponding to the second thermal imaging video; A generating module, used for generating a machining accuracy detection result corresponding to the object to be tested based on each of the target difference information; A judgment module is used to judge whether the machining accuracy of the object to be tested meets the standard based on the machining accuracy detection result.

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