| abstract |
The invention discloses a metallurgical gas integrated dynamic balance scheduling system and method, and belongs to the technical field of multiple gases balance scheduling control. Based on real-time state data and production plan data, and on the basis of a combined model of a K-Nearest Neighbor(KNN) algorithm model, a back-propagation neural network algorithm model, a RBF neural network learning algorithm model, prediction is conducted on gas production/consumption value, gas tank place value, and pipe network fluctuating value in a future time period, and corresponding prediction values are obtained, and in accordance with a gas balance scheduling expert database, dynamic balance scheduling on the gas is completed in combination with the aforementioned prediction values. The system and the method of the invention are advantaged in that on the basis of the completion of the gas balance scheduling, functions of online adding algorithm model are expanded, and functions of online correcting balance scheduling expert database is expanded, and in cases that stable and safe operation of a gas system, real-time correction of system defects are achieved, so that gas can be more reasonably utilized and usage efficiency of gas is provided. |