Hybrid and intelligent updating method for boiler efficiency combustion optimization model

Abstract

The invention provides a hybrid and intelligent updating method for a boiler efficiency combustion optimization model. At present, online real-time optimization of the boiler efficiency is always a difficult problem for industrial research personnel, because the change of coal types and the time-varying characteristics of the combustion law can cause the model prediction errors to be increased, and then boiler combustion optimization can be caused to lose effect. According to the hybrid and intelligent updating method for the boiler efficiency combustion optimization model, an updating method capable of judging whether the model needs to be updated or not and correcting the re-modeled model in the updating process is specifically constructed, the model can be updated effectively and timely, and therefore the prediction precision of the model is improved; and both online optimization and offline optimization can be carried out.

Description

technical field [0001] The invention belongs to the field of information and control technology, relates to automation technology, and in particular relates to a hybrid intelligent boiler efficiency combustion optimization method. Background technique [0002] Boiler combustion optimization is an important technical means for energy saving and emission reduction. Its goal is to obtain a high-efficiency operating state by adjusting operating parameters such as boiler air distribution and coal supply under certain boiler load conditions. The collocation of operating parameters such as air distribution and coal supply of the boiler has a direct impact on the combustion state of the boiler. Different configurations of operating parameters such as air distribution, coal supply and oxygen amount will directly lead to different boiler efficiencies. For a given boiler, under certain load conditions, there is an optimal operating parameter configuration scheme for the combustion effi...

AI Technical Summary

Problems solved by technology

The collocation of operating parameters such as air distribution and coal supply of the boiler has a direct impact on the combustion state of the boiler. Different configurations of operating parameters such as air distribution, coal supply and oxygen amount will directly lead to different boiler efficiencies.

For a given boiler, under certain load conditions, there is an optimal operating parameter configuration scheme for the combustion efficiency, which can optimize the combustion efficiency. However, there is a very complicated coupling relationship between the operating parameters of the boiler. Finding the optimal configuration of operating parameters is not easy

Especially for boiler efficiency, some data needed for calculation cannot be obtained online in real time, which makes it very difficult to optimize boiler efficiency online in real time

With the continuous advancement of science and technology, the degree of automation of boiler operation has been continuously improved, but the problem of boiler combustion optimization has not been well resolved.

However, boiler combustion is sometimes denatured, and sometimes changes in coal quality parameters will also increase model prediction errors, resulting in inaccurate predictions and optimization failures

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