Boiler soot blowing optimization method for complementing pollution factors based on time sequence prediction algorithm

The invention relates to a boiler soot blowing optimization method for complementing pollution factors based on a time sequence prediction algorithm. The method comprises the following steps: calculating the pollution factors of a heating surface; removing abnormal data; carrying out grabbing in a s...

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Bibliographic Details
Main Authors ZHU SONGQIANG, FAN HAIDONG, SUN YONGPING, XIE JIANBO, SUN KEDA, ZHANG ZHENWEI, XIANG QUNYANG, CHEN QINGEN
Format Patent
LanguageChinese
English
Published 07.12.2021
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Summary:The invention relates to a boiler soot blowing optimization method for complementing pollution factors based on a time sequence prediction algorithm. The method comprises the following steps: calculating the pollution factors of a heating surface; removing abnormal data; carrying out grabbing in a steady-state working condition time period; and complementing the pollution factors in the unsteady state time period by using a time sequence prediction algorithm. The invention has the advantages that the steady-state working condition is grabbed, the pollution factors in the time period of the steady-state working condition are calculated, the pollution factors under the non-steady-state working condition are complemented according to the time sequence prediction algorithm, and therefore soot blowing is guided. The problems that the actual contamination condition of the heating surface is difficult to accurately reflect in real time and the contamination factor is easy to greatly fluctuate due to the fact that th
Bibliography:Application Number: CN202110942851