This dataset contains high-frequency time-series data collected from a coal-fired industrial boiler operating in a chemical plant in Zhejiang, China. The boiler is equipped with multiple sensors capturing parameters such as pressure, temperature, flow rate, and oxygen levels. The dataset reflects a real-world industrial scenario. The data were collected from March 27, 2022, to April 1, 2022, at 5-second intervals (total of 86,400 time steps). A distributed control system (DCS) was employed to integrate real-time data from sensors positioned at critical locations, including the steam drum, economizer outlet, superheater, and flue gas ducts. Signals from sensors underwent conditioning and were archived in CSV format using a human-machine interface (HMI).
Dataset originally available as a supplement to the paper: Hu, W., Jiang, A., Chen, K. et al. A long-tailed distribution time-series dataset in boiler equipment. Sci Data 12, 742 (2025). https://doi.org/10.1038/s41597-025-05096-4
Retrieved from Springer Nature.