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http://dx.doi.org/10.15683/kosdi.2020.12.31.842

A Study of the Sustainable Operation Technologies in the Power Plant Facilities  

Lee, Chang Yeol (Department of Computer Engineering, Dongeui University)
Park, Gil Joo (MiraeIT Inc.)
Kim, Twehwan (Department of Security Service, Yongin University)
Gu, Yeong Hyeon (Department of Computer Engineering, Sejong University)
Lee, Sung-iI (Electricity Business Team, JB Copr.)
Publication Information
Journal of the Society of Disaster Information / v.16, no.4, 2020 , pp. 842-848 More about this Journal
Abstract
Purpose: It is important to operate safely and economically in obsolescent power plant facilities. Economical operation is related in the balance of the supply and demand. Safety operation predicts the possible risks in the facilities and then, takes measures to the facilities. For the monitoring of the power plant facilities, we needs several kinds of the sensing system. From the sensors data, we can predict the possible risk. Method: We installed the acoustic, vibration, electric and smoke sensors in the power plant facilities. Using the data, we developed 3 kinds of prediction models, such as, demand prediction, plant engine abnormal prediction model, and risk prediction model. Results: Accuracy of the demand prediction model is over 90%. The other models make a stable operation of the system. Conclusion: For the sustainable operation of the obsolescent power plant, we developed 3 kinds of AI prediction models. The model apply to JB company's power plant facilities.
Keywords
Power Plant Facilities; Sustainable Operation; Big Data; Demand Forecast; Safety Prediction;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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