Method and device for optimizing control parameters in clinker firing system

Abstract

The invention discloses a method and device for optimizing control parameters in a clinker firing system. The method comprises the steps of converting historical sample time series data into a historical parameter recommendation sample set according to a preset time series processing strategy, wherein each parameter in the historical parameter recommendation sample set is obtained by aggregating according to a production time sequence based on a mechanism characteristic and a lag period of a process link to which the parameter belongs; determining an alternative parameter recommendation sampleset based on the real-time parameter set and the historical parameter recommendation sample set of the clinker generation system; and transmitting each alternative recommendation sample in the alternative parameter recommendation sample set to a preset multi-target parameter optimization function for calculation, determining a target parameter recommendation sample based on a calculation result,and taking a target control parameter in the target parameter recommendation sample as a control parameter of the clinker firing system. According to the process, the parameters in the alternative parameter recommendation sample set take the lag period into consideration, time lag of associated data before and after is avoided, and the accuracy of target control parameter determination is guaranteed.

Description

Technical field

[0001] The invention relates to the technical field of cement firing, in particular to a method and device for optimizing control parameters in a clinker firing system.Background technique

[0002] The core part of cement production is the clinker firing system. The key to parameter optimization in the clinker firing system is to balance the key control parameters such as air, coal, and materials to ensure continuous and stable operation of the cement kiln with high quality, high yield and low cost.

[0003] The control parameter optimization methods in the existing clinker firing system are based on the lowest energy consumption operating point or predicting the stable F-CaO content of cement clinker as the optimization objective, and determining the lowest operating point or predicting the stable F-CaO content of cement clinker At time, the control parameters corresponding to the raw meal data and working condition data at that time are used as target control parameters.[000...

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