All-directional sintering process intelligent management and control system

Abstract

The invention discloses an all-directional sintering process intelligent management and control system, which is characterized in that a data processing unit obtains data analysis and processing in a burdening and distributing process to obtain a sintering point deviation coefficient and transmits the sintering point deviation coefficient to a sintering end point prediction unit, and the sintering end point prediction unit performs curve fitting, and the corresponding parameters are imported into an artificial neural network learning model for result output to obtain a final prediction end point; the waste gas treatment unit calculates the target ammonia spraying amount through the real-time desulfurization rate, the real-time denitration rate and the ammonia escape coefficient, the procedure monitoring unit is arranged to obtain data and apply the data to the sintering end point prediction unit, and the sintering end point prediction unit conducts accurate prediction on the sintering end point through the obtained data. Factors influencing the sintering end point in the burdening and distributing process and the ignition sintering process are subjected to algorithm analysis, and finally, the result is output through the artificial neural network learning model, so that the problem that the sintering end point is difficult to accurately determine in the prior art is solved.

Description

technical field [0001] The invention relates to an intelligent management and control system, in particular to an intelligent management and control system for an all-round sintering process. Background technique [0002] With the development of infrastructure and various industries, the demand for steel is increasing. In the process of steel production, the sintering of iron ore has an important impact on the output and quality of the entire steel. In the case of advocating resource conservation, steel Manufacturers attach great importance to the improvement of sintering process. [0003] In the iron ore sintering process in the prior art, it is difficult to accurately predict the end point of iron ore sintering. Generally, it is determined based on experience or the fixed position of a bellows. Adjustment, the output and quality of sintered products cannot be guaranteed, and precise release is not achieved in the waste gas treatment section, resulting in waste of resource...

AI Technical Summary

Problems solved by technology

[0007] (2) How to deal with sulfide and nitrate in the denitrification tower by setting up an exhaust gas treatment unit. Ammonia water is needed in the process of treatment. The exhaust gas treatment unit calculates the flow rate of flue gas and the flow rate of sulfide and nitrate, and finally obtains the target The amount of ammonia injection solves the problem that the amount of ammonia injection in the prior art lacks data support and cannot be adjusted accurately

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