中国电力 ›› 2016, Vol. 49 ›› Issue (5): 106-110.DOI: 10.11930/j.issn.1004-9649.2016.05.106.05

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煤中碳、氢、氮检测水平综合评定方法研究

张宏亮1,梁汉贤1,李宇春2,苏伟1,李薇3,陈刚1,林木松1   

  1. 1.广东电网有限责任公司电力科学研究院,广东广州510600;
    2.长沙理工大学,湖南长沙410015;
    3.华北电力大学,北京102206
  • 收稿日期:2015-10-28 出版日期:2016-05-16 发布日期:2016-05-16
  • 作者简介:张宏亮(1971—),男,河北保定人,高级工程师,工程硕士,从事电力燃料监督与检测工作。E-mail: 782252034@qq.com

Study on Comprehensive Evaluation Method for Elemental Carbon, Hydrogen and Nitrogen Detection of Coal

ZHANG Hongliang1, LIANG Hanxian1, LI Yuchun2, SU Wei1, LI Wei3, CHEN Gang1, LIN Musong1   

  1. 1. Guangdong Power Grid Power Science Research Institute, Guangzhou 510600, China;
    2. Changsha University of Science and Technology, Changsha 410015, China;
    3. North China Electric Power University, Beijing 102206, China
  • Received:2015-10-28 Online:2016-05-16 Published:2016-05-16

摘要: 针对燃料元素快速分析方法(非国标方法)在电力系统广泛应用的情况,利用稳健统计(ROBUST)法,对全国22家省级电力用煤检测中心采用非国标方法之一的高温燃烧红外热导法测定煤中碳(C)、氢(H)、氮(N)等特性指标进行统计,计算|z|其值大小,判别检测结果离群值,并采用标准比较法评判离群结果是否合格,科学客观评估各实验室对C、H、N的检测能力;同时,分析各相关指标可疑值和离群值产生的原因,提出了控制燃料实验室质量检测水平的技术改进措施,以使高温燃烧红外热导法测定煤中C、H、N含量的准确度得到保证。

关键词: 稳健统计法, 标准比较法, 煤, 碳、氢、氮检测, 结果评定

Abstract: In view of the wide application of fast fuel element analysis method(non national standard method) in the power industry, by taking advantage of the robust statistics method, the carbon, hydrogen, nitrogen and other characteristic indices tested with the high-temperature combustion infrared thermal conductivity method areacquired for 22 provincial electricity coal testing centers The |z| value for the discrimination of test result outliers are also calculated. The standard comparison method is applied to determine the qualification of the outliers and assess scientifically and objectively the laboratory capabilities of evaluating to detect carbon, hydrogen and nitrogen. Meanwhile, the cause analysis on the suspicious and outlier values of each index is conducted. Finally, the improvement measures on fuel laboratory detection quality control are put forward to ensure the accuracy of C, H and N detection of coal by high-temperature combustion infrared thermal conductivity method.

Key words: Robust method, standard comparison, coal, carbon, hydrogen and nitrogen test, result evaluation

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