Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals

CHI Fang; WANG Qingsong; LI Chengjun; YANG Aiyong; LU Weiye; WANG Sen; MA Weizhe; DOU Youquan; CHEN Weize; ZHANG Donglian; MO Juehui; LU Zhimin; YAO Shunchun

doi:10.19666/j.rlfd.202305072

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Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals

更新时间：2025-09-28

- Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals
- Thermal Power Generation Vol. 52, Issue 7, Pages: 92-98(2023)
- 作者机构：
  
  1. 国能南京煤炭质量监督检验有限公司
  2. 华南理工大学电力学院
  3. 佛山华谱测智能科技有限公司
  4. 广东省能源高效低污染转化与工程技术研究中心
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202305072
  CLC： O657.3;TM621
- Published：2023
- 稿件说明：
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CHI Fang, WANG Qingsong, LI Chengjun, et al. Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals[J]. Thermal power generation, 2023, 52(7): 92-98.
DOI：

CHI Fang, WANG Qingsong, LI Chengjun, et al. Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals[J]. Thermal power generation, 2023, 52(7): 92-98. DOI： 10.19666/j.rlfd.202305072.

摘要

快速准确地对入炉煤发热量进行检测是指导电厂经济安全运行的关键，然而煤炭成分复杂，其发热量与元素组成和分子结构都有一定的相关性，单一分析技术快速准确测量入炉煤发热量比较困难。基于激光诱导击穿光谱（LIBS）技术和近红外光谱（NIRS）技术，提出联用2种技术检测入炉煤发热量的方法。同步采集输送带上煤炭的LIBS和NIRS光谱信号，进行光谱数据预处理后融合2种光谱信息，并结合偏最小二乘（PLS）建模方法定量分析煤炭发热量。将该方法用于搭建煤样测量系统，得出煤样发热量定标集的决定系数为0.98，预测集均方根误差为0.37 MJ/kg，平均绝对误差为0.26 MJ/kg，平均相对误差为1.09%。表明所提出的在输送带上LIBS和NIRS信号同步采集方法可快速准确测量入炉煤发热量。

Abstract

Rapid and accurate measurement of the calorific value of incoming coal is the essential to provide guidance for the economic and safe operation of power plants. However

coal has complex components

and the calorific value is correlated with elemental composition and molecular structure

it is difficult to measure coal calorific value quickly and accurately by a single analytical technique. Based on laser-induced breakdown spectroscopy(LIBS) and near-infrared reflectance spectroscopy(NIRS)

a method is proposed to detect the calorific value of incoming coal by combining two techniques. The LIBS and NIRS spectral signals of the coal on the conveyor belt are collected simultaneously. Fusion of two spectral information after data pre-processing

coupled with partial least squares(PLS) modeling method to quantify coal calorific value. This method is used in a coal sample measurement system built by lab

it is reached that the coefficient of determination of the calibration set was 0.98

and the root mean square error of the prediction set was 0.37 MJ/kg

with an average absolute error of 0.26 MJ/kg and an average relative error of 1.09%. The results show that the proposed method of simultaneous acquisition of LIBS and NIRS signals can measure coal calorific value rapidly and accurately.

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