2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
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Abstract

The spherical tank is quite important to the medium storage and exchange of the production process. It is easily eroded by the internal medium, and has defects such as corrosion, cracks, holes in the walls and welds. Inspection is a necessary means to ensure the safe operation of the spherical tank. In this paper, a parser program was designed to collect the large amount of data items in the inspection record files. The thickness data of 16800 measured points, 6325 mm cracks found by magnetic particle testing and 85734 mm length defects found by ultrasonic testing of 91 spherical tanks were collected. From big data perspective, the safety situation and defects analysis of spherical tanks were analyzed. The data safety analysis, combined with mechanism safety analysis, provides richer support for the safe operation of the spherical tanks.
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