Detection of Carbon Content in Boiler Slag Based on Image Information Entropy Difference

doi:10.7652/xjtuxb201808008

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Detection of Carbon Content in Boiler Slag Based on Image Information Entropy Difference

更新时间：2025-07-09

- Detection of Carbon Content in Boiler Slag Based on Image Information Entropy Difference
- Vol. 52, Issue 8, Pages: 49-53+123(2018)
- 作者机构：
  
  西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201808008
  CLC： TP391
- Online First：10 August 2018，
  
  Published：2018
- 稿件说明：
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Detection of Carbon Content in Boiler Slag Based on Image Information Entropy Difference[J]. 2018, 52(8): 49-53+123.
DOI：

Detection of Carbon Content in Boiler Slag Based on Image Information Entropy Difference[J]. 2018, 52(8): 49-53+123. DOI： 10.7652/xjtuxb201808008.

摘要

为了快速准确地检测反映锅炉燃烧效率的重要指标炉渣碳质量分数

实时掌握锅炉燃烧工况

针对目前炉渣碳质量分数高精度检测法检测时间长而快速视觉检测法准确度低的问题

提出了一种基于机器视觉技术的锅炉炉渣碳质量分数检测方法。该方法通过采集炉渣图像

基于图像信息建立图像信息熵差与炉渣碳质量分数之间关系模型

再根据此关系模型

获得待测炉渣的碳质量分数。实验结果表明

与传统的灼烧失重法比较

检测时间少

所提方法的平均偏差小于2%

满足目前检测精度要求; 与目前存在的视觉检测方法相比

提出的方法检测结果不受拍摄光照环境的影响

精度显著提高。该研究为进一步实现炉渣碳质量分数的实时在线检测打下了基础。

Abstract

It is of great significance to detect slag carbon content rapidly and accurately for boiler combustion condition monitoring

boiler automated controlling

and reduction of energy consumption and emission. We present a new method for detecting carbon content of boiler slag based on machine vision technology

which is simple

fast and accurate. The slag images are acquired and then the carbon content of the slag is obtained according to the relationship model established here. Then the relation between slag image and slag carbon content is constructed via the information entropy difference of slag image and reference image. Experiment verifies that the average deviation of the proposed method is less than 2%

and the method spend shorter detection time than the traditional weight loss method

so the new method meets the detection requirements. Especially

the detection results are unaffected by the illumination environment

enabling real-time testing of the slag carbon content.

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references

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