Apparatus for managing combustion optimization and method therefor
AssigneeDosan Enerbility Co., Ltd.
InventorsSang Gun Na, Jwa Young Maeng, Jee Hun Park
Life of this patent
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Abstract
An apparatus for managing combustion optimization is provided. The apparatus for managing combustion optimization includes a data collector configured to collect real-time data that is measured in real time from a boiler system including a boiler and a combustion controller configured to control combustion of the boiler, a management configured to determine whether to perform combustion optimization of the boiler based on the real-time data, and an executor configured to generate a control command and transmit the control command to the combustion controller to perform the combustion optimization of the boiler in response to determining that the combustion optimization of the boiler is possible.
Claims8
An apparatus for managing a boiler system, the apparatus comprising a processor, memory including computer program commands, and a storage, wherein the program commands are executed by the processor, the program commands comprise:
- collecting real-time data from the boiler system comprising a boiler and a combustion controller configured to control a combustion of the boiler, wherein the real-time data measured from the boiler system includes operation data and a state binary value;
- determining whether to perform a combustion optimization of the boiler based on the state binary value, wherein the state binary value is true (1) when a change of a boiler parameter exceeds a predetermined range, and the combustion optimization is performed by executing one of a plurality of combustion models;
- determining whether the combustion controller is capable of performing the combustion optimization based on a communication availability of the boiler system and a presence of the plurality of combustion models;
- generating and transmitting a control command to the combustion controller to select an optimal combustion model from the plurality of combustion models if the performing of the combustion optimization of the boiler is determined and the combustion controller is determined to be capable of performing the combustion optimization;
- selecting the optimal combustion model from the plurality of combustion models based on the real-time data, wherein the optimal combustion model is used for a combustion control of the boiler and the plurality of combustion models is Recurrent Neural Network (RNN) models;
- and
- outputting an optimal target value for the combustion control by inputting the real-time data to the selected optimal combustion model, and outputting a control signal according to the optimal target value,
- wherein the selected combustion model has a smallest difference between the real-time data and the estimated factors, wherein the estimated factors is estimated through each combustion model of the plurality of combustion models.
A method for managing a boiler system comprising:
- collecting real-time data from the boiler system comprising a boiler and a combustion controller configured to control a combustion of the boiler, wherein the real-time data measured from the boiler system includes operation data and a state binary value;
- determining whether to perform a combustion optimization of the boiler based on the state binary value, wherein the state binary value is true (1) when a change of a boiler parameter exceeds a predetermined range, and the combustion optimization is performed by executing one of a plurality of combustion models;
- determining whether the combustion controller is capable of performing the combustion optimization based on a communication availability of the boiler system and a presence of the plurality of combustion models;
- generating and transmitting a control command to the combustion controller to select an optimal combustion model from the plurality of combustion models if the performing of the combustion optimization of the boiler is determined and the combustion controller is determined to be capable of performing the combustion optimization;
- selecting the optimal combustion model from the plurality of combustion models based on the real-time data, wherein the optimal combustion model is used for a combustion control of the boiler and the plurality of combustion models is Recurrent Neural Network (RNN) models;
- and
- outputting an optimal target value for the combustion control by inputting the real-time data to the selected optimal combustion model, and outputting a control signal according to the optimal target value,
- wherein the selected combustion model has a smallest difference between the real-time data and the estimated factors, wherein the estimated factors is estimated through each combustion model of the plurality of combustion models.
Dependencies are inferred from the claim text.