Abstract
We develop the fire analysis framework including dynamic factors of fire hazard to build comprehensive fire protection system that can prevent occurrence of fire in advance in a thermal power plant. The framework contains several engines to acquire, to store, and to process various types of data including the real time sensor data generated by various equipment. In order to process received various types of sensor data, a time series data processing engine is essential. In accordance with these requirements, the framework support the data pipeline with received data, and support various protocols for sharing data with related system like digital twin. We develop dashboard for intuitive monitoring fire hazard index by zone or equipment in real time. The framework is used data-driven IoT system for supporting big data and artificial intelligence to find solution of fire hazard of a thermal power plant.
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Acknowledgements
This work was supported by Energy Technology Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry and Energy (MOTIE, Korea). [Project Name: Development of visualized fire protection system to Thermal Power Plant through IIoT and Digital Twin technology/Project Number: 20206610100060].
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Song, CJ., Park, JY. (2023). Development of the Fire Analysis Framework for the Thermal Power Plant. In: Park, J.S., Yang, L.T., Pan, Y., Park, J.H. (eds) Advances in Computer Science and Ubiquitous Computing. CUTECSA 2022. Lecture Notes in Electrical Engineering, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-99-1252-0_11
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DOI: https://doi.org/10.1007/978-981-99-1252-0_11
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