火电厂高温分布式光纤传感器智能监测系统的研制

K.Y. Lee, B.H. Kim, J.P. Velas
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引用次数: 21

摘要

本文介绍了利用分布式光纤传感器对电厂锅炉炉内高温进行实时监测的智能监测系统的研究进展。特别令人感兴趣的是对燃气、煤或燃油锅炉内高温的时空分布的估计,这对于评估和控制从源头形成和去除污染物(如氮氧化物)的机制至关重要。将智能分布参数估计与所提出的光纤传感器系统相结合,可以更好地估计锅炉内的温度分布,从而用于反馈控制以改善燃烧
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an intelligent monitoring system with high temperature distributed fiber-optic sensor for fossil-fuel power plants
This paper presents the current research activities into the development of an intelligent monitoring system utilizing distributed fiber optical sensors for real-time monitoring of high temperatures in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a gas, coal or oil-fired boiler, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. Intelligent distributed parameter estimation coupled with the proposed fiber-optic sensor system is to be used to better estimate the temperature distribution within the boiler that can be used for feedback control for improved combustion
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