http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114705659-A

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filingDate 2022-01-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9d06541f6ec3b2108bfafbbadf30a596
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publicationDate 2022-07-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114705659-A
titleOfInvention A rapid detection method for defects in service pressure equipment using organic mechano-fluorescent materials
abstract The invention is a method for quickly detecting defects of pressure-bearing equipment in service by using organic mechano-fluorescent materials, selecting organic mechano-fluorescent materials to prepare a solution, and constructing an organic mechano-fluorescent coating on the surface of components. Through the tensile test of the standard sample with defects, the force-induced fluorescence images under different loads and defect depths and sizes were obtained respectively, and the relationship between the characteristic value of the force-induced fluorescence region and the load and defect size was obtained through image processing, and the pressure-bearing equipment was established. Defect-induced force-induced fluorescence image database. The surface of the pressure-bearing equipment is coated with an organic mechano-fluorescence coating, and the response of the mechano-induced fluorescence on the surface of the pressure-bearing equipment is monitored online during the service process, and the position of the internal defect can be quickly located by using the position of the mechano-induced fluorescence; using computer vision and artificial intelligence The intelligent technology identifies, trains the data and establishes a training model for the force-induced fluorescence images in the database; brings the force-induced fluorescence images collected in real time into the model to quantitatively evaluate the defect size and depth of the pressure-bearing equipment.
priorityDate 2022-01-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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Total number of triples: 28.