Multi-area intelligent online optimizing control method for thermal efficiency of heating furnace

Abstract

The invention relates to a multi-area intelligent online optimizing control method for thermal efficiency of a heating furnace, which belongs to the technical field of the control of the thermal efficiency of heating furnaces. The method is characterized in that a thermal efficiency optimized off-line part carries out working area division on the working condition of a heating furnace according to a thermal load and obtains optimizing values of oxygen content and negative pressure in each working area by historical data excavation. An online part confirms the working area of the heating furnace according to process real-time data, can be maintained in a better working state in time when the load is changed by starting with the optimizing values of the oxygen content and the negative pressure obtained by the off-line part and carries out thermal efficiency self-optimizing control when operation is steady, thereby achieving the aims of rapid optimization and long-time working near an optimizing state. A smoke air system carries out area control on the oxygen content and the negative pressure of a hearth by adopting a control method based on dynamic feedforward and steady feedback, and can ensure that the heating furnace works near an optimized working point given by a thermal efficiency optimizing method so as to realize the optimal thermal efficiency.

Description

technical field [0001] The invention relates to an online optimization control method for heating furnace thermal efficiency, and belongs to the field of petrochemical tubular heating furnace and automatic control of production process. Background technique [0002] Tube heating furnace (hereinafter referred to as heating furnace) is an important process equipment widely used in oil refining and petrochemical production processes, and almost every industrial device has a heating furnace. The heating furnace provides the heat source for the device and is the main energy-consuming equipment of the device. For example, the fuel consumption of atmospheric and vacuum distillation accounts for 82-92% of the total energy consumption of the device, and the delayed coking accounts for about 90%. Furnace fuel produces CO during combustion 2 , CO and other gases. It is an urgent task to optimize the thermal efficiency of the operating heating furnace so that it can work near the opt...

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Problems solved by technology

Due to the poor sensitivity of the air volume adjustment actuator of the heating furnace and the large dead zone, it is generally not suitable for continuous adjustment. Most of the above control loops are in the manual state for a long time

Due to the poor sensitivity of the air volume adjustment actuator of the heating furnace and the large dead zone, it is generally not suitable for continuous adjustment. The above-mentioned control loop is in the manual state for a long time, let alone the optimization of thermal efficiency.

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