Title:
REAL-TIME INDUSTRIAL PLANT PRODUCTION PREDICTION AND OPERATION OPTIMIZATION
Document Type and Number:
WIPO Patent Application WO/2018/035718
Kind Code:
A1
Abstract:
Direct measurement and simulation of real-time production rates of chemical products in complex chemical plants is complex. A predictive model developed based on machine learning algorithms using historical sensor data and production data provides accurate real-time prediction of production rates of chemical products in chemical plants. An optimization model based on machine learning algorithms using clustered historical sensor data and production data provides optimal values for controllable parameters for production maximization.
Inventors:
HOU FANG (CN)
WU YIKAI (CN)
REN KEXIN (CN)
SHEN HUI (CN)
MIN XINYONG (CN)
CHENG XIAOPEI (CN)
WU YIKAI (CN)
REN KEXIN (CN)
SHEN HUI (CN)
MIN XINYONG (CN)
CHENG XIAOPEI (CN)
Application Number:
PCT/CN2016/096386
Publication Date:
March 01, 2018
Filing Date:
August 23, 2016
Export Citation:
Assignee:
ACCENTURE GLOBAL SOLUTIONS LTD (IE)
HOU FANG (CN)
HOU FANG (CN)
International Classes:
G05B13/02
Foreign References:
| EP0906593B1 | 2003-07-30 | |||
| US20100145891A1 | 2010-06-10 | |||
| US20100161810A1 | 2010-06-24 | |||
| CN1942878A | 2007-04-04 |
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
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