Paper
2 November 2023 An automated flow-batch analyzer for the determination of boiler water
Weipeng Hu, Jianlu Liang, Yuanbo Tan, Zhenshun Wei, Daxian Li, Jintao Liang
Author Affiliations +
Proceedings Volume 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023); 129190S (2023) https://doi.org/10.1117/12.3011138
Event: 3rd International Conference on Electronic Materials and Information Engineering (EMIE 2023), 2023, Guangzhou,, China
Abstract
As the content of sulfite and soluble silica in boiler water is not detected in time, it is easy to cause scaling, salt accumulation, corrosion, and soda water co-emission, etc. An automated flow-batch analyzer for the determination of Boiler water were described at present work. The flow path of the pump valve was constructed by designing a "Z" shaped flow pool and an injection pump with a syringe and a distributing valve. The LED light source driving circuit and silicon photocell were used to form a light source detection module for spectrophotometric detection of the solution. The LabVIEW software platform is used to controlled syringe pump and Data Acquisition (DAQ) board, which was used to light LED and acquire data from light-to-voltage converter. The design uses silicate and sulfite solution to test the performance of the boiler water quality for calibration experiments respectively. A linear correlation coefficient is 0.9975 in calibration curves of silicate solution and 0.9995 in calibration curves of sulfite solution. Through the detection of silica solution and sulfite soluble, the results show that the boiler water quality detection system based on LabVIEW has high accuracy and good stability.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Weipeng Hu, Jianlu Liang, Yuanbo Tan, Zhenshun Wei, Daxian Li, and Jintao Liang "An automated flow-batch analyzer for the determination of boiler water", Proc. SPIE 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023), 129190S (2 November 2023); https://doi.org/10.1117/12.3011138
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KEYWORDS
Water quality

LabVIEW

Light sources

Design and modelling

Calibration

Light emitting diodes

Data processing

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