Welding line radiographic-inspection detection data analysis and photo identification system

Abstract

The invention provides a welding line radiographic-inspection detection data analysis and photo identification system, which can quickly judge whether a welding line passes radiographic inspection or not and has the advantages of time and labor saving for analysis, high efficiency and high consistency standard degree. The welding line radiographic-inspection detection data analysis and photo identification system is characterized by comprising a detection technology condition module, a detection data input module, a standard photo database, a photo identification and analysis module, a comprehensive result output module, a standard data database under a specific detection condition and a data comparison module, wherein each standard photo in the standard photo database is relevant to a specific detection condition in the detection technology condition module; the detection technology condition module stores various specific detection conditions corresponding to all welding lines; and the detection data input module comprises a detection condition input module and a radiographic-inspection photo input module, wherein the detection condition input module is used for entering the data of the welding lines under the specific detection conditions, wherein the data include measured data and detection environment conditions.

Description

technical field [0001] The invention relates to the fields of high-end equipment parts such as aviation, nuclear power, petrochemical industry, etc., especially relates to the analysis of non-destructive testing flaw detection data and the identification and judgment of pictures in the manufacturing materials and manufacturing process of high-end equipment parts. Photo recognition system. Background technique [0002] In the manufacturing process of parts of high-end and special equipment products, there are high requirements on the internal organization of materials and parts. Various non-destructive testing methods such as ultrasonic, penetrant, magnetic particle, and ray inspection are commonly used to detect internal tissue defects. Different testing methods have high standards. There are many control parameters. During the manufacturing process, the analysis and quality evaluation of testing conditions, testing data and testing standards are the key content in the manuf...

AI Technical Summary

Problems solved by technology

Existing inspection data of weld seam radiographic flaw detection needs to be manually compared with the standard data item by item according to the measured data, so as to determine whether the parts meet the requirements. At the same time, the photos taken by the flaw detection need experienced personnel to see Figure, and then draw a judgment, the analysis is time-consuming, laborious, inefficient, and personal subjective judgments can easily affect the entire analysis, resulting in low consistency standards

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