公开(公告)号：US20200219027A1

公开(公告)日：2020-07-09

申请号：US16624780

申请日：2018-06-15

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Zheng LV ,  Jun ZHAO ,  Ying LIU ,  Wei WANG

IPC: G06Q10/06 ,  G06N5/02 ,  H02J3/00 ,  G06K9/62 ,  G06F16/28 ,  G06F17/16

Abstract: A knowledge transfer-based modeling method for blast furnace gas scheduling systems, firstly, building energy body models of all stages of energy generation, transmission, consumption, storage and conversion based on pipe network structures of gas systems, and extracting common structure features of different gas systems based on the energy models; secondly, designing a data distribution feature-based membership function transfer method, learning mapping relations between data of the different gas systems according to distribution features of the data, and then transferring membership functions; thirdly, proposing a feature-based fuzzy rule transfer method, mapping rule structures of different systems to adjacent low-dimensional features, and realizing rule transfer in a rule reconstruction mode; and finally, designing a scheduling data-based knowledge transfer adjustment strategy, inputting actual scheduling data of blast furnace gas systems into the models, and adjusting corresponding rule parameters by taking a minimum deviation of an output scheduling scheme as a goal.