EXHAUST HEAT RECOVERY BOILER AND DUST REMOVAL OPERATION PLANNING DEVICE THEREFOR

WIPO Patent Application WO/2022/059305

A1

This dust removal operation planning device comprises a dirt resistance calculation device for calculating the dirt resistance of a heat transfer tube in a heat transfer section, and a machine learning device for machine learning to determine the operation plan of a dust removal device. The machine learning device obtains, as state data, the ratio of the input of alternative fuel to the input of fossil fuel in the fuel at an exhaust gas source, the percentage of components involved in dust adhesion in the alternative fuel, the gas flow velocity of the exhaust gas passing through the heat transfer section, the inlet gas temperature and the outlet gas temperature of the heat transfer section, and the dirt resistance calculated by the dirt resistance calculation device. On the basis of the previous learning results and the state data, the machine learning device selects an operation plan such that the reward obtained on the basis of the dirt resistance is most suitable.

MAKI TAKEYOSHI
TAKENAKA YUKIHIRO
MIYAUCHI KANTA
YAMAMOTO SHUJI
NOZOE TAKURO
TANAKA TOSHINORI
YUKIOKA ATSUSHI
LI ZHAOHUI
CHEN FENGYIN
XIAO JIEYU
ZHAO FENGWA
KAO CHUANLI
ZHANG HAO
LI NA
WANG NING
GE HAIGEN
FANG WEI
ZHOU JIAN

PCT/JP2021/025644

March 24, 2022

July 07, 2021

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KAWASAKI HEAVY IND LTD (JP)

F22B37/56; F22B35/18; F23J3/00; F28G7/00

CN212843004U	2021-03-30
JP2020134040A	2020-08-31
JP2019138602A	2019-08-22
JP2010139186A	2010-06-24
JP2008146371A	2008-06-26
JPH05149524A	1993-06-15

ARCO PATENT & TRADEMARK ATTORNEYS (JP)

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