基于诱导击穿光谱技术的煤质在线分析系统及其应用研究

华电技术 ›› 2020, Vol. 42 ›› Issue (12): 82-87.

基于诱导击穿光谱技术的煤质在线分析系统及其应用研究

1.华电潍坊发电有限公司，山东潍坊 261000；2.湖北凯瑞知行科技有限公司，武汉 430000

出版日期:2020-12-25 发布日期:2021-01-04

Coal quality online detection system based on LIBS and its application

1.Huadian Weifang Power Generation Company Limited，Weifang 261000，China；2.Hubei Creating Zhixing Technology Company Limited，Wuhan 430000，China

Online:2020-12-25 Published:2021-01-04

摘要/Abstract

摘要： 实时准确检测煤工业指标，对燃煤电厂安全高效运行具有关键性的指导作用。针对工业现场实际情况，结合现有的煤质在线分析技术，研发出了基于激光诱导击穿光谱技术的煤质在线分析系统，实现对煤质的实时快速检测。单个样品检测时间控制在30 min以内，连续检测情况下，每3 min可完成一次检测，相比传统人工化验方法可极大提高检测效率，为燃煤电厂的安全生产提供实时指导。经过实际验证，检测的煤样成分含量指标满足燃煤电厂煤炭的化验精度要求，从而可以指导燃煤锅炉脱硫、脱硝系统进行优化控制，避免排放超标，降低环保运行成本；指导优化锅炉燃烧效率，合理减少“碳税”成本。该研究对提高环保效率和电厂运行经济指标具有重要意义。

关键词: 煤质在线分析, 激光诱导, 光谱, 在线检测, 煤炭, 工业指标

Abstract: Real-time and accurate detection of coal complying with the industrial index is key to the safe and efficient operation of coal-fired power plants. Based on the situation on-site and existing coal quality online analysis technologies ， a coal quality online detection system taking laser-induced breakdown spectroscopy（LIBS） was developed，which realized real-time and swift detection on coal quality. The detection time for a single sample is controlled in 30 min. In the case of successive detection， each sample analysis can be done in 3 minutes. Compared with the traditional manual detection， this system improves the detection efficiency sharply and provides real-time guidelines for thermal power plants. Verified by practical cases ， the contents in coal samples can meet the testing precision required by the coal-fired power plant.The test results can guide the optimized control on the desulphurization and denitration systems of coal-fired boilers， avoid the excessive discharge， reduce the environmental protection cost ， and lower the "carbon tax" by improving the combustion efficiency of boilers.The research is of great significance for improving environmental protection efficiency and economic index of power plants.

Key words: coal quality online detection, laser induce, spectrum, online detection, coal, industrial index

黄海东, 梁朋, 朱宝森, 金从兵. 基于诱导击穿光谱技术的煤质在线分析系统及其应用研究[J]. 华电技术, 2020, 42(12): 82-87.

HUANG Haidong, LIANG Peng, ZHU Baosen, JIN Congbing. Coal quality online detection system based on LIBS and its application[J]. Huadian Technology, 2020, 42(12): 82-87.

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