Multi-source information fusion technique based coal-fired boiler SCR catalyst life evaluation method

Abstract

The invention provides a multi-source information fusion technique based coal-fired boiler SCR catalyst life evaluation method. The multi-source information fusion technique based coal-fired boiler SCR catalyst life evaluation method includes the following steps: performing multiple sampling on a catalyst used in a power station boiler, performing laboratory detection on a sample, and acquiring a microscopic feature index capable of representing the activity of the catalyst; acquiring a macro-performance index of the catalyst sample through a micro reactor test; counting and mining power station historical operation data to acquire a macro index capable of reflecting the power station SCR reactor performance; and fusing the indexes associated with the catalyst life, and completing comprehensive evaluation of the catalyst life. The evaluation method can acquire a catalyst life prediction model according to historical laboratory detection data and an actual operation parameter of the catalyst through a fuzzy mathematical method, and can improve the accuracy and stability of catalyst performance evaluation.

Description

Life evaluation method of coal-fired boiler SCR catalyst based on multi-source information fusion technology technical field The invention relates to the technical field of life management of SCR denitrification catalysts in coal-fired power plants, in particular to a method for evaluating the life of SCR catalysts in coal-fired boilers based on multi-source information fusion technology. Background technique In the coal-fired boiler SCR system, the activity of the catalyst is continuously reduced. At present, the German VGB and American EPRI standards are based on the traditional laboratory testing method for catalyst life prediction, that is, the catalyst manufacturer will arrange a test block in the catalyst, and when it is necessary to test the activity of the catalyst, the test block or the field collected Catalyst samples were taken out and sent to specialized laboratories for testing. However, this method has two disadvantages: first, the problem of sample represen...

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Problems solved by technology

On the other hand, due to the generally uneven distribution of the flow field, fly ash field, and flue gas composition field in the furnace, the degradation rates of catalysts at different positions in the same layer are also different. Therefore, the activity of the catalyst test sample cannot represent the entire layer of catalysts. and even the denitrification performance of the whole reactor

Second, the problem of the number of sample detection

However, the operating conditions of the power plant fluctuate frequently, and the data is unstable and mixed, making it difficult to capture a stable catalyst life degradation trend

To sum up, the current catalyst life prediction methods can capture catalyst degradation information from their own perspectives, but they also have their own limitations. Therefore, it is urgent to propose a method to fuse these dispersed catalyst degradation information.

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