The System of Real-Time Image Processing and Combustion Diagnosis Based on Omap3530

Abstract:

In this paper, according to the characteristics of power plant boiler combustion process, to use the image processing technology to extract feature quantity of flame combustion. For boiler combustion diagnosis real-time requirements, the system of real-time image processing and combustion diagnosis based on OMAP3530 was designed and developed. The system makes full use of the OMAP3530 dual-core processor, and makes the operating system and control, video signal acquisition, human-computer interaction, output driving tasks run on the ARM, and the image data processing tasks are completed by DSP. It maximizes the performance of OMAP3530, improves the real-time performance of the system. Experiments were carried out in 200MW boiler. The results show that, the system is simple and practical, which can realize the combustion diagnosis of the running boiler and provide the reliable basis for the safety and economic operation of power station boiler. It has a certain engineering application prospect.

• Periodical: Advanced Materials Research (Volumes 816-817)
• Pages: 535-539
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.816-817.535
• Online since: September 2013
• Authors: Yu Jie Zhang, Ying Ying Wu
• Keywords: Combustion Diagnosis, Image Acquisition, OMAP3530

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