수질 분석 전처리 자동화 설비 효과성 평가(1)
Performance and Applicability Evaluation of Automated Pretreatment System for Water Quality Test (I)
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초록
The automated measurement system for water quality analysis is customized. After the sample with the bar code is introduced on the conveyor, it is divided into the aliquot and the online measurement section. The system performs each for the sub-sampling of the original sample and the online measurement and data registration process of pH, turbidity, electric conductivity (EC) and total dissolved solids(TDS). For sub-sampling, a total of 17 group sample aliquots were carried out based on the criterion for drinking water quality test. In terms of precision and accuracy, the results confirmed that the statistically equivalent data between automation system and the human performances. The effectiveness of the automation equipment was evaluated by comparing the unit time of the aliquot and online measurement. For drinking water quality testing, 0.32 hour unit time were calculated by combining 0.17 unit hour per sub-sampling and 0.15 unit hour per online measurement. The cost recovery period, which takes into consideration the facility price is expected to take 1.8 to 2.8 years. The automation equipment is expected to play a role as a cooperative robot to help lab worker, because it will replace the sample management and the simple measurement if the installation cost is payable according to the built and assemble in domestic and increased demand in the future.
Abstract
The automated measurement system for water quality analysis is customized. After the sample with the bar code is introduced on the conveyor, it is divided into the aliquot and the online measurement section. The system performs each for the sub-sampling of the original sample and the online measurement and data registration process of pH, turbidity, electric conductivity (EC) and total dissolved solids(TDS). For sub-sampling, a total of 17 group sample aliquots were carried out based on the criterion for drinking water quality test. In terms of precision and accuracy, the results confirmed that the statistically equivalent data between automation system and the human performances. The effectiveness of the automation equipment was evaluated by comparing the unit time of the aliquot and online measurement. For drinking water quality testing, 0.32 hour unit time were calculated by combining 0.17 unit hour per sub-sampling and 0.15 unit hour per online measurement. The cost recovery period, which takes into consideration the facility price is expected to take 1.8 to 2.8 years. The automation equipment is expected to play a role as a cooperative robot to help lab worker, because it will replace the sample management and the simple measurement if the installation cost is payable according to the built and assemble in domestic and increased demand in the future.
참고문헌 (11)
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