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http://dx.doi.org/10.7471/ikeee.2022.26.2.219

Development of a complex sensor software for measuring the exhaustion rate of dyeing factories  

Lee, Jeong-in (Energy ICT Research Section, Electronics and Telecommunications Research Institute)
Park, Wan-Ki (Energy ICT Research Section, Electronics and Telecommunications Research Institute)
Kim, Sang-Ha (Dept. of Computer Engineering, Chugnam National University)
Publication Information
Journal of IKEEE / v.26, no.2, 2022 , pp. 219-225 More about this Journal
Abstract
The textile industry in Korea, the dyeing sector is an energy-intensive sector and has low per-unit productivity due to its labor-intensive nature. If the defective rate of dyed fabrics is high, additional costs are incurred due to an increase in production cost due to re-dyeing. Therefore, the goal of the dyeing factory was to minimize the defect rate rather than to save energy. It was difficult to check the dyeing state of the fabric in real time due to the risk of accidents due to burns or pressure when dyeing in a high-temperature and high-pressure environment. In this paper, a complex sensor that can measure the exhaustion rate of dye solution in the dyeing machine using turbidity, pH, and conductivity sensors was proposed, and the experimental method and experimental results were analyzed.
Keywords
Dyeing factory; Ehaustion rate; Multiple Regression; hydrogen ion concentration; Turbidity; Conductivity;
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