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Patent Searching and Data


Title:
ENERGY SAVING METHOD AND FEMS FOR APPLYING SAME
Document Type and Number:
WIPO Patent Application WO/2018/038279
Kind Code:
A1
Abstract:
Provided are a system and a method for predicting temperatures in cement limestone calcination process using neural network learning. A process learning method according to an embodiment of the present invention collects control point data for processes; collects process data determined by control points; and learns the control point data and process data to extract a correlation between the control point data and the process data. As such, it becomes possible to more simply and accurately predict the temperatures in the cement lime firing process by using the neural network learning.

Inventors:
JI, Young Min (202 22, Eunhaengjeong-ro 19-gil,Yangcheon-gu, Seoul, 07939, KR)
YOO, June Jae (101-802, 21-11 Gugal-ro 28beon-gil,,Giheung-gu, Yongin-si, Gyeonggi-do, 16973, KR)
Application Number:
KR2016/009303
Publication Date:
March 01, 2018
Filing Date:
August 23, 2016
Export Citation:
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Assignee:
KOREA ELECTRONICS TECHNOLOGY INSTITUTE (25 Saenari-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13509, KR)
International Classes:
G05B19/418; B28B11/24; B28B17/00; C04B40/02; G06N3/08
Foreign References:
JPH11242503A1999-09-07
JP2008171362A2008-07-24
KR20150043170A2015-04-22
US20040029299A12004-02-12
Other References:
LEE, MIN GOO ET AL.: "Fuel Consumption Prediction Model of Vehicle Using Neural Networks", PROCEEDINGS OF INFORMATION AND CONTROL SYMPOSIUM, October 2010 (2010-10-01), pages 167 - 168
Attorney, Agent or Firm:
NAM, Choong Woo (4F 26, Nonhyeon-ro 34-gil,Gangnam-gu, Seoul, 06296, KR)
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