Radiographic detection compliance determination digital system based on digital negative film

Abstract

The invention discloses a digital radiographic inspection compliance judgment digital system based on a digital negative film, which integrates a plurality of functional modules such as report data input, transillumination process compliance examination, film processing and image analysis, blackness automatic evaluation, image quality indicator automatic identification and the like. A radiographic inspection report can be automatically analyzed, the compliance of key process parameters can be examined, automatic processing and quality evaluation are carried out on a detection film through a high-resolution digital processing and image analysis technology, meanwhile, a built-in deep learning model can accurately recognize welding seam and base metal areas and image quality indicator information, and the detection accuracy is improved. The accuracy of a detection result is ensured; a compliance report can also be automatically generated and adjustment suggestions can be provided. According to the invention, automatic and intelligent management of the whole process of nuclear power ray detection is realized, the efficiency and accuracy of ray detection are obviously improved, and the system is suitable for nuclear power and other fields requiring high-precision ray detection.

Description

Technical Field

[0001] The present invention relates to the field of radiation detection technology, and in particular to a digital radiation detection compliance determination system based on digital negative film. Background Art

[0002] Radiographic testing is widely used in nuclear power, petrochemical, aerospace and other fields, especially in weld quality inspection. Traditional radiographic testing methods rely on manual operation, the detection process is complicated, and the operator's experience is required to be high. In the film exposure, processing, image analysis and other links, it is easy for human factors to cause inconsistency and misjudgment of the test results. In addition, due to the diversity of process standards, the compliance review of different test reports often relies on expert experience and lacks standardized and automated means.

[0003] With the development of digital technology, X-ray detection has gradually evolved towards digitalization and automation. The introduction of digital film technology has made image processing, analysis and storage of X-ray detection more convenient. However, most of the existing systems on the market currently only focus on the automated processing of a single link, such as image denoising and enhancement processing, while there is still a lack of systematic and comprehensive automated solutions throughout the entire detection process. In actual applications, the compliance review of the detection process and the quality assessment of the image still rely on manual operation, with a low degree of automation, which makes it difficult to meet the requirements of modern nuclear power X-ray detection for efficiency, accuracy and standardization.

[0004] The existing patent CN115266774A discloses an artificial intelligence-based X-ray inspection and film evaluation method. The method uses AI technology and generates any amount of defect data of any category based on very little defect data. Weights are added to small sample training and the data set is balanced while increasing the diversity of samples, thereby greatly improving the detection efficiency.

[0005] Existing patent CN109827977A discloses an X-ray detection method for transillumination components. The method determines the minimum thickness and maximum thickness of each area to be detected in the component to be detected; encapsulates at least two films in a dark box to form a film system; determines the transillumination detection process according to the thickness range of the area to be detected and the film system; detects the area to be detected in the component to be detected according to the transillumination detection process; rinses and dries the at least two films, observes the images displayed on the at least two films, and analyzes the detection results. The defects of various parts of the area to be detected can be detected by one transillumination. In addition, even if a single component to be detected has multiple thicknesses, it is not necessary to use multiple processes, which helps to simplify the process of non-destructive testing, save time and material costs, and improve work efficiency.

[0006] None of the above existing technologies involve realizing automation and intelligence of compliance determination of radiation detection by integrating multiple functional modules.

[0007] Therefore, there is an urgent need for an automated system that can cover the entire process of X-ray inspection, which can not only conduct compliance review of the process parameters in the inspection report, but also efficiently and accurately process and analyze the inspection images, thereby improving the efficiency and accuracy of the inspection and ensuring the compliance and reliability of the inspection results. Summary of the invention

[0008] Based on the above technical problems, the present invention proposes a digital system for X-ray detection compliance determination based on digital film, aiming to solve the problems existing in the existing X-ray detection process, such as cumbersome manual operation, inconsistent compliance review, and non-automated image processing.

[0009] To achieve the above objectives, the present invention proposes a digital system for determining compliance of radiographic inspection based on digital negatives, which integrates multiple functional modules to achieve automation and intelligence of compliance determination of radiographic inspection. The specific technical solution is as follows:

[0010] A digital system for determining compliance of radiographic inspection based on digital negative film, the system comprising:

[0011] A report data input module configured to receive a ray detection report;

[0012] The transillumination process compliance review module is configured to conduct compliance review on the transillumination process;

[0013] Film processing and image analysis module, configured to perform high-resolution digital processing on radiographic detection films;

[0014] A weld and base material area distinction module is configured to automatically identify weld and base material areas;

[0015] A black level automatic evaluation module configured to calculate and evaluate the black level value of an image;

[0016] An image quality meter automatic identification module configured to identify and analyze image quality meter information;

[0017] The result output module is configured to generate a comprehensive evaluation report.

[0018] Furthermore, the report data input module receives the inspection process data and digitized negative film of the radiographic inspection report, and analyzes the inspection process data to automatically extract key parameters, providing data support for subsequent compliance review and image processing;

[0019] The key parameters include weld information, radiation source selection, penetration thickness and image quality meter information.

[0020] Furthermore, the input end of the transillumination process compliance review module is connected to the output end of the report data input module, and the transillumination process compliance review module automatically performs compliance review on the key parameters item by item, generates a transillumination process review report, and provides adjustment suggestions.

[0021] Furthermore, the input end of the film processing and image analysis module is connected to the output end of the report data input module, and the film processing and image analysis module includes an image denoising unit and a contrast adjustment unit. After the film processing and image analysis module reads the digital image of the digitized negative film, the image denoising unit performs denoising on the digital image, and the contrast adjustment unit performs contrast adjustment on the digital image.

[0022] Furthermore, the input end of the weld and parent material area distinguishing module is connected to the output end of the film processing and image analysis module, and the weld and parent material area distinguishing module uses a deep learning model to automatically detect the processed digital image, output the pipe joint joint type, the weld area and the parent material area boundary box and its confidence, and use different colors to identify the joint type, weld area and parent material area in the digital image.

[0023] Furthermore, the input end of the automatic blackness assessment module is connected to the output end of the weld and base material area differentiation module, and the automatic blackness assessment module automatically calculates the blackness value of the digital image, determines whether the blackness value is compliant, and generates an image blackness value assessment result report and adjustment suggestions.

[0024] Furthermore, the input end of the image quality meter automatic identification module is connected to the output end of the weld and base material area differentiation module. The image quality meter automatic identification module automatically identifies the type, position and specification of the image quality meter in the image through image analysis technology, and determines whether it meets the preset standards, and generates an image quality meter analysis report and adjustment suggestions.

[0025] Furthermore, the input end of the result output module is connected to the output end of the transillumination process compliance review module, the output end of the black level automatic evaluation module and the output end of the image quality meter automatic identification module, and the result output module outputs a comprehensive evaluation report including the transillumination process, image black level and image quality meter compliance.

[0026] The present invention also provides a method for reviewing compliance of a radiographic inspection transillumination process based on digital negative film, which is implemented by the above-mentioned digital radiographic inspection compliance determination digital system based on digital negative film, and is characterized in that the method comprises:

[0027] Conduct transillumination process compliance review;

[0028] Perform digital image processing, image detection and recognition, and image blackness evaluation;

[0029] Perform automatic identification and compliance determination of image quality meters;

[0030] Output a comprehensive results report.

[0031] Furthermore, the process steps of the transillumination process compliance review include:

[0032] S1, the report data input module receives the detection process data and digitized negative film of the radiographic detection report;

[0033] S2, the report data input module automatically analyzes the test process data;

[0034] S3. Report data input module extracts key parameters.

[0035] S4. The transillumination process compliance review module reviews and verifies the extracted key parameters item by item;

[0036] S5. Generate transillumination process compliance review report and adjustment suggestions.

[0037] Furthermore, step S5 specifically includes: if it is determined that all parameters meet the preset standards, a transillumination process compliance report is generated to record all details of the detection process; if it is determined that there are parameters that do not meet the preset standards, a transillumination process non-compliance report is generated and adjustment suggestions are provided.

[0038] Furthermore, the process steps of digital image processing, image detection and recognition, and image blackness evaluation include:

[0039] S1, film processing and image analysis module reads the digital image of the digitized negative film in the radiographic inspection report;

[0040] S2, film processing and image analysis module removes noise from digital images through image denoising;

[0041] S3, film processing and image analysis module uses contrast adjustment technology to enhance digital image details and contrast and generate high-resolution digital images;

[0042] S4, the weld and base material area recognition module detects and identifies the weld and base material areas in the high-resolution digital image;

[0043] S5, a blackness automatic evaluation module evaluates the blackness value compliance of the digital image and saves the digital image at the same time;

[0044] S6. Generate a digital image black value evaluation result report and adjustment suggestions.

[0045] Furthermore, step S6 specifically includes: if the black value of the digital image meets the preset standard, a black value compliance report is generated to record the calculation results; if the black value of the digital image does not meet the standard, a black value non-compliance report is generated and corresponding adjustment suggestions are provided.

[0046] Furthermore, the process steps of the image quality meter's automatic identification and compliance determination specifically include:

[0047] S1, the image quality meter automatic recognition module reads the digital image processed by the weld and base material area distinction module;

[0048] S2, automatically identify the type and location of image quality meter in digital images;

[0049] S3, analyzing the image quality indicator specifications in the digital image;

[0050] S4, comparing the information identified and analyzed in step S2 and step S3 with the preset standard to determine whether the image quality meter meets the preset standard;

[0051] S5. Generate an image quality meter analysis result report and provide adjustment suggestions.

[0052] Further, step S5 specifically includes: if it is determined that the image quality meter meets the preset standard, generating an image quality meter compliance report and recording the result; if it is determined that the image quality meter does not meet the preset standard, generating an image quality meter non-compliance report and recommending the use of an image quality meter that meets the requirements.

[0053] Based on the above technical solution, the present invention proposes a digital system for determining compliance of radiographic inspection based on digital negative film, which has at least the following beneficial effects compared with the prior art:

[0054] 1. The present invention proposes a digital system for determining compliance of radiographic inspection based on digital film, which realizes the automation and intelligent operation of the entire process of radiographic inspection, thereby greatly reducing the complexity of manual operation, reducing the occurrence of human errors, and improving the efficiency and accuracy of inspection.

[0055] 2. The present invention proposes a digital system for determining the compliance of X-ray inspection based on digital film. The system can also generate a detailed and comprehensive determination result report to provide scientific decision support for the inspection process.

[0056] 3. The present invention proposes a digital system for determining compliance of X-ray detection based on digital film, which can automatically process multiple X-ray detection reports, quickly determine the compliance of each X-ray detection report, and generate a corresponding determination result report.

[0057] 4. The present invention proposes a digital system for determining compliance of X-ray detection based on digital film. The system has good scalability and can be integrated with other detection systems or equipment to form a complete automated detection solution to further improve detection efficiency.

[0058] 5. The present invention proposes a digital system for determining compliance of X-ray detection based on digital film, which is not only suitable for nuclear power X-ray detection, but can also be extended to other fields that require high-precision X-ray detection, such as aerospace, petrochemical and other industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 The present invention proposes a structural schematic diagram of a digital system for determining compliance of radiographic inspection based on digital negative film;

[0061] Figure 2 It is a schematic diagram of the process flow of the compliance review of the radiographic detection transillumination process in Example 2 of the present invention;

[0062] Figure 3 It is a flow chart of the digital image processing, image detection and recognition, and image blackness evaluation of the radiation detection in the second embodiment of the present invention.

[0063] Figure 4 The figure is a flow chart of automatic identification and compliance determination of a radiation detection image quality meter in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0064] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0065] The present invention is further described in detail below in conjunction with specific embodiments. These embodiments should not be construed as limiting the scope of protection claimed by the present invention.

[0066] Example 1

[0067] In order to solve the problem that the digital system in the prior art is relatively simple and has a low degree of automation and cannot meet the requirements of efficient and accurate modern nuclear power radiation detection, the present invention proposes a digital system for radiation detection compliance determination based on digital film.

[0068] To achieve the above objectives, the present invention proposes a digital system for determining compliance of radiographic inspection based on digital negatives.

[0069] See also Figure 1 As shown, the system includes a report data input module, a transillumination process compliance review module, a film processing and image analysis module, a weld and base material area distinction module, a blackness automatic evaluation module, an image quality meter automatic identification module and a result output module.

[0070] Among them, the report data input module is used to receive the X-ray detection report, which includes the detection process data and digitized film; the transillumination process compliance review module is used to conduct compliance review of the transillumination process; the film processing and image analysis module is used to process high-resolution digital images, the weld and base material area distinction module is used to automatically identify the weld and base material areas, the blackness automatic evaluation module is used to calculate and evaluate the image blackness value, the image quality meter automatic identification module is used to identify and analyze the image quality meter information, and the result output module is used to output a comprehensive judgment result report.

[0071] The above-mentioned system provided by the embodiment of the present invention realizes the automation and intelligent operation of the whole process from data input, transillumination process compliance review to film processing and image analysis by integrating multiple functional modules such as report data input, transillumination process compliance review, film processing and image analysis, and automatic identification of image quality meter, thereby significantly improving the detection efficiency, accuracy and standardization.

[0072] The technical solution of the digital system for determining compliance of radiographic inspection based on digital negative film proposed in this embodiment is described in detail below.

[0073] Specifically, in this embodiment, the report data input module receives the inspection process data and digitized film of the X-ray inspection report, parses the inspection process data, and automatically extracts key process parameters in the inspection data, such as weld information, radiation source selection, penetration thickness, and image quality meter information, etc., to provide data support for subsequent compliance review and image processing.

[0074] Specifically, in this embodiment, the input end of the transillumination process compliance review module is connected to the output end of the report data input module. The transillumination process compliance review module automatically conducts compliance review on the process parameters in the X-ray detection report according to the RCC-M standard to ensure that all parameters are within the standard range. The module can check item by item whether the selection of the radiation source, transillumination thickness, geometric blur, exposure time, use of intensifying screens and filters, and the setting of the image quality meter meet the preset standard requirements. For example: according to the RCC-M standard and wall thickness, detection area, the compliance of the selection of the radiation source is reviewed; check whether the thickness of the irradiated object is within the range allowed by RCC-M; calculate and check whether the geometric blur meets the RCC-M standard; review the use of filters according to the RCC-M standard to ensure that the thickness and use of the filters meet the standard requirements; review the configuration of the intensifying screen according to the RCC-M standard to ensure that the thickness and material of the front, middle and rear screens used meet the standard requirements. More accurate compliance audits of filter usage, source selection, and other critical parameters based on RCC-M standards ensure compliance and effectiveness of the entire X-ray inspection process.

[0075] If all parameters meet the preset standards, a transillumination process compliance report will be generated to record all details of the review process; if there are parameters that do not meet the preset standards, a transillumination process non-compliance report will be generated and adjustment suggestions will be provided, such as adjusting the transillumination time or changing the radiation source.

[0076] Specifically, in this embodiment, the input end of the film processing and image analysis module is connected to the output end of the report data input module, and the film processing and image analysis module reads the digitized film in the radiographic detection report and performs high-resolution digital processing to generate a digital image suitable for analysis. The film processing and image analysis module includes an image denoising unit and a contrast adjustment unit. After the film processing and image analysis module reads the high-resolution digitized film image, the image denoising unit performs denoising processing on the image to remove noise points in the image to improve the image quality; the contrast adjustment unit performs contrast adjustment on the image to enhance image details and contrast to ensure that the boundary between the weld and the base material is clearly visible.

[0077] Specifically, in this embodiment, the input end of the weld and parent material area distinction module is connected to the output end of the film processing and image analysis module. Based on the digital image generated by the film processing and image analysis module, the weld and parent material area distinction module uses a deep learning model, such as a YOLO model, to automatically identify and distinguish the weld and parent material areas, ensuring that the weld position can be accurately located and processed in the image analysis, thereby improving the accuracy and reliability of the detection. The weld and parent material area distinction module detects the input digital image, outputs the pipe joint joint type, the weld area and the parent material area boundary box and its confidence, and draws the detection results on the digital image clock, using different colors to mark the joint type, weld area and parent material area.

[0078] Among them, the deep learning model construction process in the weld and base material area distinction module is as follows:

[0079] First, data collection is performed. Collect images containing pipe butt joints, such as X-ray images, to ensure that the data set includes different joint types, welds, and base material areas. Use annotation tools to annotate the images, marking the joint types, weld areas, and base material areas respectively. Experienced nuclear power nondestructive testing engineers can perform manual marking. Perform data enhancement operations such as rotating, scaling, and flipping the images to improve data diversity and enhance the generalization ability of the model.

[0080] Secondly, for model training, you can choose a visual recognition model (such as YOLO) for training, which is suitable for detecting multiple categories (joint type, weld, parent material area) at the same time; modify the configuration file of the visual recognition model, specify the number of categories and category names; use the training script to train the model, using the collected and labeled data set; after the model training is completed, save the trained model weight file.

[0081] Then, the model is deployed and tested. The trained YOLO model is loaded using Python code, and the confidence threshold is set to prepare for image detection. The input image is tested, and the YOLO model outputs the bounding boxes of the joint type, weld area, and parent material area and their confidence. The test results are drawn on the image, and different colors are used to identify the joint type, weld area, and parent material area.

[0082] Finally, the detection results are manually verified to ensure recognition accuracy; the model or data set is adjusted based on the verification results, and incremental learning is performed when necessary to improve the recognition performance of the model.

[0083] Specifically, in this embodiment, the input end of the blackness automatic evaluation module is connected to the output end of the weld and base material area differentiation module. Based on the digital image generated by the film processing and image analysis module, the blackness automatic evaluation module automatically calculates the blackness value of the digital image, and compares it with the standard range to determine whether the blackness value of the image is compliant. An image blackness value evaluation result report is generated based on the judgment. If the image blackness value does not meet the standard, corresponding adjustment suggestions are provided, such as adjusting the exposure time or using other film types.

[0084] Specifically, in this embodiment, the input end of the image quality meter automatic identification module is connected to the output end of the weld and base material area distinction module. The image quality meter automatic identification module reads the digital image processed by the film processing and image analysis module, and automatically identifies the type, position and specification of the image quality meter in the image through image analysis technology, and compares it with the preset standard to determine whether it meets the preset standard. If the image quality meter meets the preset standard, an image quality meter compliance report is generated and the result is recorded; if the image quality meter does not meet the preset standard, an image quality meter non-compliance report is generated, and it is recommended to use an image quality meter that meets the preset standard.

[0085] Specifically, in this embodiment, the input end of the result output module is connected to the output end of the transillumination process compliance review module, the output end of the black level automatic evaluation module, and the output end of the image quality meter automatic identification module. The result output module can output a comprehensive report including a transillumination process review report, an image black level evaluation report, and an image quality meter analysis report based on the review and analysis results of the above modules.

[0086] The embodiment of the present invention proposes a digital system for determining compliance of radiographic inspection based on digital negatives, which realizes the full process automation from report data input to compliance review, film processing and image analysis, and final report generation. At the same time, the system can automatically process multiple radiographic inspection reports, quickly determine the compliance of each radiographic inspection report, and generate a corresponding determination result report.

[0087] In addition, the above system can also be integrated with other inspection systems or equipment to form a complete automated inspection solution. For example, the system can be used in conjunction with automated film scanning equipment to achieve fully automatic scanning, processing and analysis of inspection films, further improving inspection efficiency.

[0088] The digital film-based X-ray detection compliance determination digital system proposed in the present invention is not only suitable for nuclear power X-ray detection, but can also be extended to other fields that require high-precision X-ray detection, such as aerospace, petrochemical and other industries, to provide efficient and accurate detection solutions.

[0089] Example 2

[0090] This embodiment proposes a digital method for determining compliance of radiographic inspection based on digital negative film, which is implemented by the digital system for determining compliance of radiographic inspection based on digital negative film proposed in the above embodiment 1. The method specifically includes:

[0091] I. Conduct a transillumination process compliance review. Figure 2 As shown, the process of transillumination process compliance review is as follows:

[0092] S1. The report data input module receives the inspection process data and digitized negative film in the radiographic inspection report;

[0093] S2, the report data input module automatically analyzes the test data;

[0094] S3. The report data input module extracts key parameters to provide data support for the subsequent compliance review of the radioactive source process. The key parameters include radiation source type, weld information, radioactive thickness, etc.

[0095] S4. The transillumination process compliance review module reviews and verifies the extracted key parameters item by item to determine whether each parameter meets the preset standards.

[0096] S5. If it is determined that all parameters meet the preset standards, a transillumination process compliance report will be generated to record all details of the detection process; if it is determined that there are parameters that do not meet the preset standards, a transillumination process non-compliance report will be generated and suggestions will be provided, such as adjusting the transillumination time or changing the radiation source.

[0097] II. Perform radiographic detection image processing, image detection recognition and image evaluation. Refer to Figure 3, the specific process is as follows:

[0098] S1, film processing and image analysis module reads the digital negative film in the radiographic inspection report;

[0099] S2, film processing and image analysis module removes noise in the image through image denoising to improve image quality;

[0100] S3, film processing and image analysis module uses contrast adjustment technology to enhance image details and contrast, ensuring that the boundary between the weld and the base material is clearly visible. After processing, a high-resolution digital image suitable for analysis is generated.

[0101] S4, the weld and base material area recognition module detects and identifies the weld and base material areas in the high-resolution digital image;

[0102] Specifically, the trained deep learning model in the weld and parent material area recognition module detects high-resolution digital images, outputs the bounding boxes of the joint type, weld area and parent material area and their confidence levels, draws the detection results on the image, and uses different colors to identify the joint type, weld area and parent material area.

[0103] S5, a blackness automatic evaluation module evaluates the blackness value compliance of the digital image and saves the digital image at the same time;

[0104] Specifically, the blackness automatic evaluation module automatically calculates the blackness value of the digital image in step S4, and compares it with a preset standard to determine whether the blackness value of the digital image complies with the regulations.

[0105] S6. If the black value of the digital image meets the preset standard, a black value compliance report is generated to record the calculation results; if the black value of the digital image does not meet the standard, a black value non-compliance report is generated and corresponding adjustment suggestions are provided, such as adjusting the exposure time or using other film types.

[0106] III. Automatically identify and determine compliance with image quality indicators. Figure 4 As shown, the specific process is as follows:

[0107] S1, the image quality meter automatic recognition module reads the digital image processed by the film processing and image analysis module and the weld and base material area recognition module;

[0108] S2, automatically identify the type and location of image quality meter in digital images;

[0109] S3, analyzing the image quality indicator specifications in the digital image;

[0110] S4, comparing the information identified and analyzed in step S2 and step S3 with the preset standard to determine whether the image quality meter meets the preset standard;

[0111] S5. If the image quality meter is judged to meet the preset standard, an image quality meter compliance report is generated and the result is recorded; if the image quality meter is judged not to meet the preset standard, an image quality meter non-compliance report is generated and it is recommended to use an image quality meter that meets the requirements.

[0112] IV. Output comprehensive result report.

[0113] Specifically, the result output module can output a comprehensive evaluation report including the transillumination process, image blackness and image quality meter compliance based on the review and analysis results of the above modules.

[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0115] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0116] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0117] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system.

[0118] It should be noted that, in the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

Claims

1. A digital system for determining compliance of radiographic inspection based on digital film, characterized in that: The system comprises: A report data input module configured to receive a ray detection report; The transillumination process compliance review module is configured to conduct compliance review on the transillumination process; Film processing and image analysis module, configured to perform high-resolution digital processing on radiographic detection films; A weld and base material area distinction module is configured to automatically identify weld and base material areas; A black level automatic evaluation module configured to calculate and evaluate the black level value of an image; An image quality meter automatic identification module configured to identify and analyze image quality meter information; The result output module is configured to generate a comprehensive evaluation report.

2. The digital system for determining compliance of radiographic inspection based on digital negatives according to claim 1 is characterized in that: The report data input module receives the inspection process data and digitized negative film of the radiographic inspection report, and analyzes the inspection process data to automatically extract key parameters, providing data support for subsequent compliance review and image processing; The key parameters include weld information, radiation source selection, penetration thickness and image quality meter information.

3. The digital system for determining compliance of radiographic inspection based on digital negatives according to claim 2 is characterized in that: The input end of the transillumination process compliance review module is connected to the output end of the report data input module. The transillumination process compliance review module automatically performs compliance review on the key parameters item by item, generates a transillumination process review report, and provides adjustment suggestions.

4. The digital system for determining compliance of radiographic inspection based on digital negatives according to claim 2 is characterized in that: The input end of the film processing and image analysis module is connected to the output end of the report data input module. The film processing and image analysis module includes an image denoising unit and a contrast adjustment unit. After the film processing and image analysis module reads the digital image of the digitized negative film, the image denoising unit performs denoising on the digital image, and the contrast adjustment unit performs contrast adjustment on the digital image.

5. The digital system for determining compliance of radiographic inspection based on digital negatives according to claim 4 is characterized in that: The input end of the weld and parent material area distinguishing module is connected to the output end of the film processing and image analysis module. The weld and parent material area distinguishing module uses a deep learning model to automatically detect the processed digital image, outputs the pipe joint joint type, the bounding box of the weld area and the parent material area and its confidence, and uses different colors to mark the joint type, weld area and parent material area in the digital image.

6. The digital system for determining compliance of radiographic inspection based on digital negatives according to claim 5 is characterized in that: The input end of the automatic blackness evaluation module is connected to the output end of the weld and base material area differentiation module. The automatic blackness evaluation module automatically calculates the blackness value of the digital image, determines whether the blackness value is compliant, and generates an image blackness value evaluation result report and adjustment suggestions.

7. The digital system for determining compliance of radiographic inspection based on digital negatives according to claim 5 is characterized in that: The input end of the image quality meter automatic identification module is connected to the output end of the weld and base material area differentiation module. The image quality meter automatic identification module automatically identifies the type, position and specification of the image quality meter in the image through image analysis technology, and determines whether it meets the preset standards, and generates an image quality meter analysis report and adjustment suggestions.

8. The digital system for determining compliance of radiographic inspection based on digital negatives according to claim 1 is characterized in that: The input end of the result output module is connected to the output end of the transillumination process compliance review module, the output end of the black level automatic evaluation module and the output end of the image quality meter automatic identification module, and the result output module outputs a comprehensive evaluation report including the transillumination process, image black level and image quality meter compliance.

9. A method for reviewing compliance of a radiographic inspection transillumination process based on digital negative film, the method being implemented by a digital system for determining compliance of radiographic inspection based on digital negative film as claimed in any one of claims 1 to 8, characterized in that: The method comprises: Conduct transillumination process compliance review; Perform digital image processing, image detection and recognition, and image blackness evaluation; Perform automatic identification and compliance determination of image quality meters; Output a comprehensive results report.

10. The method for reviewing compliance of radiographic inspection and transillumination process based on digital negatives according to claim 9, characterized in that: The process steps for the transillumination process compliance review include: S1, the report data input module receives the detection process data and digitized negative film of the radiographic detection report; S2, the report data input module automatically analyzes the test process data; S3, report data input module extracts key parameters; S4, the transillumination process compliance review module reviews and verifies the extracted key parameters item by item; S5. Generate transillumination process compliance review report and adjustment suggestions.

11. The method for reviewing compliance of a radiographic inspection and transillumination process based on digital negatives according to claim 10, characterized in that: Step S5 specifically includes: if it is determined that all parameters meet the preset standards, a transillumination process compliance report is generated to record all details of the detection process; if it is determined that there are parameters that do not meet the preset standards, a transillumination process non-compliance report is generated and adjustment suggestions are provided.

12. The method for reviewing compliance of a radiographic inspection and transillumination process based on digital negatives according to claim 9, characterized in that: The process steps of digital image processing, image detection and recognition, and image blackness evaluation include: S1, film processing and image analysis module reads the digital image of the digitized negative film in the radiographic inspection report; S2, film processing and image analysis module removes noise from digital images through image denoising; S3, film processing and image analysis module uses contrast adjustment technology to enhance digital image details and contrast and generate high-resolution digital images; S4, the weld and base material area recognition module detects and identifies the weld and base material areas in the high-resolution digital image; S5, a blackness automatic evaluation module evaluates the blackness value compliance of the digital image and saves the digital image at the same time; S6. Generate a digital image black value evaluation result report and adjustment suggestions.

13. The method for reviewing compliance of radiographic inspection and transillumination process based on digital negatives according to claim 12, characterized in that: Step S6 specifically includes: if the black value of the digital image meets the preset standard, a black value compliance report is generated to record the calculation results; if the black value of the digital image does not meet the standard, a black value non-compliance report is generated and corresponding adjustment suggestions are provided.

14. The method for reviewing compliance of radiographic inspection and transillumination process based on digital negatives according to claim 9, characterized in that: The process steps of automatic identification and compliance determination of the image quality meter specifically include: S1, the image quality meter automatic recognition module reads the digital image processed by the weld and base material area distinction module; S2, automatically identify the type and location of image quality meter in digital images; S3, analyzing the image quality indicator specifications in the digital image; S4, comparing the information identified and analyzed in step S2 and step S3 with the preset standard to determine whether the image quality meter meets the preset standard; S5. Generate an image quality meter analysis result report and provide adjustment suggestions.

15. The method for reviewing compliance of radiographic inspection and transillumination process based on digital negatives according to claim 14, characterized in that: Step S5 specifically includes: if it is determined that the image quality meter meets the preset standard, an image quality meter compliance report is generated and the result is recorded; if it is determined that the image quality meter does not meet the preset standard, an image quality meter non-compliance report is generated and it is recommended to use an image quality meter that meets the requirements.

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