Intelligent combustion control method based on online optimization of air-fuel ratio and used for heating furnace

Abstract

The invention provides an intelligent combustion control method based on online optimization of the air-fuel ratio and used for a heating furnace. The intelligent combustion control method comprises the following steps that S1, the optimal air-fuel ratio is determined intelligently; S2, the optimal air-fuel ratio is adjusted automatically; S3, the air-fuel ratio is fed back and controlled automatically; and S4, the temperature PID control parameter of the heating furnace is adjusted intelligently. According to the intelligent combustion control method based on online optimization of the air-fuel ratio and used for the heating furnace, the combustion atmosphere is determined according to the rolling specification of a blank and the target temperature, and adjustment of the air-fuel ratio is conducted with the combustion atmosphere as feedforward; and meanwhile, optimal control over the air-fuel ratio is conducted with residual oxygen contents, collected by a patrolling type smoke analysis system, of combustion products of all combustion sections of the heating furnace as feedback, parameters in the combustion process are dynamically adjusted according to the changing condition of the temperature in the control process, and real-time stable intelligent combustion control over the heating furnace is achieved.

Description

technical field [0001] The invention relates to an intelligent combustion control system, in particular to an intelligent combustion control method for a heating furnace based on online optimization of the air-fuel ratio. Background technique [0002] The intelligent combustion control system of the steel rolling heating furnace is one of the important links in the steel rolling production. The intelligent combustion control system can realize: improving the heating quality of the billet, accurately controlling the temperature difference and uniformity of the billet head and tail, and reducing energy consumption. The iron and steel industry is a large energy consumer, and the energy consumption of metallurgical heating furnaces accounts for 25% of the total energy consumption of steel. Improving the thermal efficiency of heating furnaces and reducing energy consumption are of great significance to the energy saving of the entire iron and steel enterprise. [0003] The main c...

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Problems solved by technology

This application has certain innovations, but due to the inherent characteristics of neuron networks, it is easy to cause local optimal control parameters and long optimization process, so it is not suitable for real-time online control systems.

[0007] In the patent literature with the patent application number 200920221512.5, the application researches the automatic switching device for the multi-channel flue gas collection pipeline of the tubular heating furnace. The on-line monitoring provides technical support. However, due to the existence of different combustion control sections in the heating process of the steel rolling furnace, the process requirements of each control section are different, resulting in different air-fuel ratios.

The method of extracting the combustion flue gas into the main pipe for detection mentioned in this application cannot realize the combustion process of optimizing the air-fuel ratio on-line

[0008] During the heating process of the steel rolling heating furnace, due to the change of the rolling condition of the rolling line, the heating process is easily affected

Since the heating process of the billet is a large inertia and strong coupling system, during this process, the heating and cooling control of the heating furnace has the disadvantages of excessive overshoot and long control steady-state time

At the same time, due to the need to quickly change the combustion atmosphere, the air-fuel ratio of the combustion can easily cause imbalance, the combustion situation is not ideal, and manual intervention is required for manual combustion, which eventually leads to the inability of the intelligent combustion system to automatically control the furnace temperature, and the energy consumption of billet heating will inevitably increase.

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