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Research Electrolytic Cell Fault Diagnosis Method Based On Image Processing Technology

Posted on:2016-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:C Q GuoFull Text:PDF
GTID:2298330467495199Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Wet electrolytic refining process is a key step. During electrolytic production process, the electrolytic often produce agglomeration, resulting in a short circuit or a short circuit fault occurs between the plates, current losses, decreased product quality, reduce production efficiency also increased power consumption.In order to improve production efficiency, save energy, to detect and solve problems can improve the quality of the electrolysis products. Nowadays, the enterprise detected with automatic device, but most of them need to rely on man, may cause wrong judgments and inefficiency,This paper presents a method with an infrared camera to detect Infrared camera with wide temperature range, high precision, can complete measurement in a relatively short time. The infrared camera mounted in patrol cars, infrared images were acquired by camera, then, the infrared images was transferred to computer, the subsequent image processing and recognition operated by PC combined with digital image processing algorithms to determine fault location. In practice, process the infrared images we collected,then patrol car in motion the process of real-time processing, fault location is displayed in troubleshooting interface, combined with prior knowledge of the specific location of the fault, in the form of text displayed in the troubleshooting interface facilitate staff appropriate handling and disposal. The method is simple, safe and reliable, improved fault detection accuracy, improve the quality of the electrolysis products, reduce the waste of energy, thereby increasing the productivity of the workshop, has a very important practical significance.Secondly, since the fault detection system failure alarm after the plates, the fault has been generated. To avoid failure, resulting in unnecessary losses, we study how the method according to the site measured temperature terrific predict the fault location. According to the site’s magnetic environment, the actual conductor abstract premise rectangular conductor model, using simulation software COMSOL deduced fantastic temperature electrolytic cell current model, validated by field data to verify the validity of the model.
Keywords/Search Tags:Electrolysis, infrared cameras, fault diagnosis, image processing technology
PDF Full Text Request
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