Boiler furnace situation perception method based on multi-feature fusion clustering

Abstract

Provided is a boiler furnace situation perception method based on multi-feature fusion clustering, which belongs to the boiler furnace situation perception method. An image flame detecting probe is adopted to collect hearth image information. The image on one hand conducts conventional flame detection and temperature detection processing on an on-site control cabinet, and on the other hand is directly transmitted to a FSSS monitoring center and a computer control center. In the computer control center, characteristic learning, mode database construction and updating, and hearth situation perception can be completed. The invention is advantageous in that a situation-based perception and analysis software can be deployed at a cloud service center or a server based on the present image flamedetection system, and no modification or additional external devices is required, and thereby the deploying is easy, and self-learning and self-updating capability is provided; The invention is advantageous in that a situation-based perception and analysis software can be deployed at a cloud service center or a server based on the present image flame detection system, and no modification or additional external devices is required, and thereby the deploying is easy, and self-learning and self-updating capability is provided.

Description

Technical field [0001] The invention relates to a boiler furnace situation awareness method, in particular to a boiler furnace situation awareness method based on multi-feature fusion clustering. Background technique [0002] Stable combustion of the boiler furnace is the basic requirement for the continuous and stable operation of the boiler, ensuring safe production and improving economic efficiency. However, the combustion in the boiler furnace is a multiphase reaction process, which is affected by many factors. If the combustion is unstable, it will not only reduce the thermal efficiency of the boiler, produce noise and thermal pollution, and may even cause the furnace to extinguish or explode. Through advanced flame detection technology and intelligent information processing methods, timely and reliable grasp of the combustion situation in the furnace and dynamic adjustment of boiler operating parameters are effective means to ensure stable combustion of the furnace and pre...

AI Technical Summary

Problems solved by technology

Methods that directly use these features include differential pressure method, temperature method, acoustic wave method, detection electrode method, etc. These methods either have high environmental requirements or have certain limitations, and are rarely used at present.

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