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Research On Fault Diagnosis Method For Copper Electrolytic Cell Based On FPGA

Posted on:2017-04-09Degree:MasterType:Thesis
Country:ChinaCandidate:J X CuiFull Text:PDF
GTID:2271330482490764Subject:Control engineering
Abstract/Summary:PDF Full Text Request
Because of copper electrolysis cells only about 5cm centre distance between adjacent plates, copper electrorefining process impurities adsorbed on the surface of the cathode plate formed "agglomeration" resulting in short circuit between plates. This will lower the efficiency of copper electrolytic production of short circuit fault and a waste of energy. At present, enterprises based on artificial supporting tables, such as failure detection time and effort, serious delay fault detection results. To solve this problem, this article is a copper electrolysis fault diagnosis system based on FPGA design and implementation.Failure due to an extremely sharp increase in short-circuit current electrode temperature rise significantly, copper electrolysis fault location for infrared images can be used. Used above the cell arrangement of patrol cars scheme, using infrared camera of the copper cathode bar at the bottom of the car temperature detection. Infrared cameras capture the resulting grayscale image, through the design of FPGA image processing subsystem for processing, in order to achieve fault orientation of electrolysis of.In order to build a copper pot infrared image processing system based on FPGA, firstly using Quartus Ⅱ SOPC Builder feature, complete with the display of NIOS ii soft core system configuration, according to live images requires the application of copper electrolysis, in the soft core system configuration and programming of the modules. Secondly, based on NIOS II IDE programming software, the image displayed on a VGA monitor. With live images of copper electrolysis phenomenon of barrel distortion, make use of their internal and external parameters of the camera matrix for image correction. Finally, through multiple morphological filtering algorithm, image edges and fault injection port, electrolytic electrodes features through spatial domain method of fault positioning of electrolysis. Through a large number of live images, verify that the method described in this article.
Keywords/Search Tags:Electrolysis, fault diagnosis, FPGA, NIOSⅡ, image processing technology
PDF Full Text Request
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