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Development of SV30 Detection Algorithm and Turbidity Assumption Model using Image Analysis Method  

Choi, Soo-Jung (Pusan National Unversiy)
Kim, Ye-Jin (Institute for Environmental Technology and Industry)
Yoom, Hoon-Sik (Pusan National Unversiy)
Cha, Jae-Hwan (Pusan National Unversiy)
Choi, Jae-Hoon (Pusan National Unversiy)
Kim, Chang-Won (Pusan National Unversiy)
Publication Information
Journal of Korean Society of Environmental Engineers / v.30, no.2, 2008 , pp. 168-174 More about this Journal
Abstract
Diagnosis on setteability based on human operator's experimental knowledge, which could be established by long term operation, is a limit factor to construction of automation control system in wastewater treatment plant. On-line SVI(Sludge Volume Index) analyzer was developed which can measure SV30 automatically by image capture and image analysis method. In this paper, information got by settling process was studied using On-line SVI analyzer for better operation & management of WWTPs. First, SV30 detection algorithm was developed using image capture and image analysis for settling test and it showed that automatic detection is feasible even if deflocculation and bulking was occurred. Second, turbidity assessment model was developed using image analysis.
Keywords
SVI(Sludge Volume Index); SV30; Image Analysis; On-line SVI Analyzer; Settleability;
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