Electronic device for implementing system for predicting and controlling industrial processes, and control method thereof
AssigneeINEEJI Co., Ltd.
InventorsBaasan-Ochir BALJINNYAM, Ye Rim Lee, Bo Seon Yoo
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Abstract
Disclosed is an electronic device for implementing an industrial process prediction and control system. The electronic device includes one or more processors configured to perform predicting on a calorific value of recycled fuel and a temperature of a preheating chamber in a cement manufacturing apparatus using the trained first neural network model and the trained second neural network model based on the process information including fuel input information of a cement manufacturing apparatus, and controlling input fuel for cement based on this prediction.
Claims15
An electronic device for implementing a temperature prediction and control system, the electronic device comprising:
- a communication interface;
- a memory in which a trained first neural network model and a trained second neural network model are stored;
- and
- one or more processors configured to:
- perform preprocessing on, when process information including fuel input information of a cement manufacturing apparatus is received through the communication interface, the received process information;
- input the preprocessed process information into the trained second neural network model to obtain error information on first predicted temperature information output from the trained first neural network model and measured temperature of a first preheating chamber in the cement manufacturing apparatus;
- identify predicted calorific information of a first recycled fuel among input fuels based on the obtained error information and the fuel input information;
- input the fuel input information updated based on the identified predicted calorific information into the trained first neural network model to obtain second predicted temperature information of the first preheating chamber;
- and
- provide guidance information including the obtained second predicted temperature information.
A control method of an electronic device for implementing a temperature prediction and control system, the control method comprising:
- performing preprocessing on, when process information including fuel input information of a cement manufacturing apparatus is received, the received process information;
- inputting the preprocessed process information into a trained second neural network model to obtain error information on first predicted temperature information output from a trained first neural network model and measured temperature of a first preheating chamber in the cement manufacturing apparatus;
- identifying predicted calorific information of a first recycled fuel among input fuels based on the obtained error information and the fuel input information;
- inputting the fuel input information updated based on the identified predicted calorific information into the trained first neural network model to obtain second predicted temperature information of the first preheating chamber;
- and
- providing guidance information including the obtained second predicted temperature information.
A non-transitory computer-readable recording medium that stores, when executed by a processor of an electronic device for implementing a temperature prediction and control system, computer instructions that cause the electronic device to perform operations of:
- performing preprocessing on, when process information including fuel input information of a cement manufacturing apparatus is received, the received process information;
- inputting the preprocessed process information into a trained second neural network model to obtain error information on first predicted temperature information output from a trained first neural network model and measured temperature of a first preheating chamber in the cement manufacturing apparatus;
- identifying predicted calorific information of a first recycled fuel among input fuels based on the obtained error information and the fuel input information;
- inputting the fuel input information updated based on the identified predicted calorific information into the trained first neural network model to obtain second predicted temperature information of the first preheating chamber;
- and
- providing guidance information including the obtained second predicted temperature information.
Dependencies are inferred from the claim text.