Method for establishing desulfurization system operation condition database

Abstract

The invention discloses a method for establishing a desulfurization system operation condition database, and the method comprises the steps: step 1, importing historical operation data of a desulfurization system, carrying out the data processing of the historical operation data, and removing abnormal data; step 2, analyzing the health data retained in the step 1 by adopting a principal componentanalysis method to obtain new characteristic quantities; step 3, performing economic analysis on the desulfurization system, and proposing an economic evaluation index of the desulfurization system; step 4, determining the number of clustering clusters by using an elbow rule; step 5, clustering the new characteristic quantities obtained in the step 2 by using a fuzzy C-means clustering method, andobtaining an economic optimal point in each class by combining the economic evaluation index in the step 3; step 6, carrying out data processing of the steps 1 to 6 on the real-time operation data ofthe desulfurization system, obtaining real-time operation data of the desulfurization system, clustering the real-time operation data into an existing class obtained in the step 5, and indicating theeconomic optimal point of the real-time operation data in the class where the real-time operation data is located as the optimal working condition point.

Description

technical field [0001] The invention relates to the technical field of desulfurization systems, in particular to a method for establishing a database of operating conditions of a desulfurization system. Background technique [0002] In thermal power plants, flue gas desulfurization is an essential link. During the operation of the desulfurization system, a large amount of operational data is generated, and these data contain rich values ​​for mining. At present, many desulfurization systems still rely on operating personnel to adjust the slurry supply volume and slurry circulation pump based on experience. The disadvantage is that the adjustment is not timely and accurate. The intelligent control system of the desulfurization system established on the basis of data mining and machine learning can effectively change this situation. [0003] In recent years, big data technology has developed rapidly and is widely used in the Internet, communication and other fields. The tra...

AI Technical Summary

Problems solved by technology

At present, many desulfurization systems still rely on operating personnel to adjust the slurry supply volume and slurry circulation pump based on experience. The disadvantage is that the adjustment is not timely and accurate.

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