Grate furnace feeding control method based on material layer thickness big data prediction

The invention discloses a grate furnace feeding control method based on material layer thickness big data prediction, and the method comprises the steps: carrying out the fitting of the historical data steam amount and the pusher speed, obtaining the pusher speed corresponding to different steam amo...

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Bibliographic Details
Main Authors LIU JIANGLIN, DU YUXIN, HU YONG, JIA YIMAN, ZHU HUANG, PING CHUAN
Format Patent
LanguageChinese
English
Published 24.06.2022
Subjects
BLASTING
COMBUSTION APPARATUS
COMBUSTION PROCESSES
CONSUMING WASTE PRODUCTS BY COMBUSTION
CREMATION FURNACES
HEATING
LIGHTING
MECHANICAL ENGINEERING
WEAPONS
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Summary:The invention discloses a grate furnace feeding control method based on material layer thickness big data prediction, and the method comprises the steps: carrying out the fitting of the historical data steam amount and the pusher speed, obtaining the pusher speed corresponding to different steam amounts, taking the pusher speed as a pusher thickness control reference instruction, and further obtaining a pusher thickness control reference instruction; acquiring data related to the thickness of the material layer, performing fitting analysis to establish a material layer thickness prediction model, acquiring a predicted value and an actual value of the thickness of the material layer, and acquiring a deviation between the predicted value and the actual value as a material layer thickness correction instruction for controlling the thickness of the pusher; comprehensive analysis is carried out according to the hearth temperature and the change of the material layer thickness to obtain a combustion condition corre
Bibliography:Application Number: CN202210208812