Abstract
Synthesis of control rules (extraction of knowledge) from historical data may be used for optimal control of the pulverized coal boiler, however it appears to be quite a difficult task. The best effects, allowing fast design and reliable tuning, might be obtained through comprehensive approach with use of all available sources of information. Presented methodology covers one aspect: knowledge extraction through analysis of process operational historical data. Proposed methodology is specifically developed for the task: synthesis of the control rules and conditions for improvement of the combustion process efficiency based on the historical. The approach is stepwise. It starts from the historical data acquisition, followed by the efficiency calculations, data processing. The methodology ends with evaluation of the control rules that may suggest boiler operators optimal operation. This approach copes with several practical problems met during daily boiler operation. Proposed algorithm uses original combination of heuristics, polynomial approximation and data clustering to find patterns in scattered data allowing to assign operational rules to meet the goals. The approach is validated on the real data from the industrial grate boiler.
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Janiuk, T., Domański, P.D. (2016). Evaluation of High Efficiency Operating Rules for Grate-Fired Boilers. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Challenges in Automation, Robotics and Measurement Techniques. ICA 2016. Advances in Intelligent Systems and Computing, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-29357-8_23
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DOI: https://doi.org/10.1007/978-3-319-29357-8_23
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