Denitration optimization control algorithm based on intelligent model predictive control

Abstract

A denitration optimization control algorithm based on intelligent model predictive control is disclosed. The method comprises: collecting historical data for a controlled object and a control object,analyzing current working conditions by adopting a self-learning algorithm, and automatically calculating a target value, an upper limit value and a lower limit value of the controlled object; establishing a prediction model, and predicting the change trend of the system in a future period of time; solving the optimal control effect in a rolling mode according to constraint conditions and performance requirements obtained through learning, and implementing the current control; detecting real-time information, correcting a future predicted trend, and carrying out feedback compensation. the algorithm can visually check the prediction optimization trend, can be matched with a cloud analysis platform, can automatically configure an interface, a graph and self-defined data analysis, supports PCand mobile terminal access, obviously reduces the use amount of ammonia water, improves the NOx emission standard, and achieves the purposes of saving energy, reducing consumption and improving economic benefits; the control effect can be automatically adjusted in real time, and manual intervention is reduced; the effects of being simple to maintain and convenient to deploy are achieved, and thealgorithm opens up a new way for denitration optimization control.

Description

technical field [0001] This patent relates to the field of industrial process optimization control technology, predictive control technology and intelligent control, especially in the optimal control of denitrification in the cement industry, a denitrification optimal control algorithm based on intelligent model predictive control. Background technique [0002] At present, in the denitrification industry of cement manufacturing enterprises, its NO X Emissions accounted for the total industrial NO X The emission is more than 10%, which has a great direct impact on environmental pollution; the current denitrification of cement mainly adopts non-catalytic reduction technology (SNCR), that is, by spraying ammonia water in the high temperature area to reduce NO X content control; since 2013, environmental protection requirements have become increasingly stringent, the future NO X The emission standard will be from 400mg / m 3 Increased to 100mg / m 3 ; [0003] In the prior art,...

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Problems solved by technology

[0007] In order to overcome the deficiencies of the prior art, the present invention provides a denitrification optimization control algorithm based on intelligent model predictive control (hereinafter referred to as Smart MPC algorithm), which forms a new intelligent The control algorithm can effectively solve the problems of large ammonia water consumption, high labor cost, large disturbance, control lag, difficult deployment, and complicated maintenance in the current denitrification control, and has high work efficiency and stable and convenient process control;

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