锅炉燃烧诊断方法及实时系统的设计

Yujie Zhang, L. Yun, Zhang Yuanyuan
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引用次数: 0

摘要

针对锅炉燃烧监控系统对实时性和稳定性的要求,本文介绍了一种基于PCI总线和DSP的火焰图像处理系统的设计。讨论了火焰图像的特征参数和基于神经网络的燃烧诊断方法。对图像采集和处理的部分电路和工作流程进行了详细的分析和说明,并采用了PC机与TMS320C6205相结合的优化设计,大大提高了系统的数据处理能力、实时性和准确性。经200MW机组试验表明,系统可在一帧内完成图像处理和特征提取,在5秒内完成锅炉燃烧状态诊断,保证了火焰监测和燃烧诊断的实时性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The design of boiler combustion diagnostic methods and real-time system
Due to the boiler burning supervisory system's higher demand of the real-time and stability, this paper introduces the design of a flame image processing system based on PCI bus and DSP. The discussion reflects the characteristic parameters of the flame image and the burning diagnosis method based on neural network. It detailed analysis and explains parts circuit and workflow about the image acquisition and processing, and adopts an optimization design of the combination of PC computer and TMS320C6205, which greatly improves the system's data processing ability, real-time and accuracy of ascension. After 200MW unit test shows that, in one frame, system can finish an image processing and characteristic extraction, and in 5 seconds, system can complete the diagnosis of boiler combustion status, which ensures the real-time character of flame monitoring and burning diagnosis.
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