瞬发γ中子活化分析技术在选煤厂煤质检测中的研究与应用

Research and Application of Prompt Gamma Neutron Activation Analysis Technology in Coal Quality Testing of Coal Preparation Plant

  • 摘要: 精煤灰分是炼焦煤选煤生产过程中的关键质量指标,实现灰分的及时准确检测是稳定产品质量和提升经济效益的基础。针对传统人工采样与化验方式存在代表性不足、数据滞后、调节滞后等问题,涡北选煤厂引进了2台基于瞬发γ中子活化分析(PGNAA)技术的高精度多元素在线煤质分析仪,分别用于重介精煤和浮选精煤的灰分在线监测。PGNAA技术利用252Cf中子源激发煤样产生特征γ射线,通过解析Si、Al、Fe等成灰元素含量实现灰分的快速定量分析。现场应用表明,该分析仪在不同煤种和粒度条件下均具有良好的适应性,重介精煤灰分检测绝对偏差为0.12%,浮选精煤灰分检测绝对偏差为0.13%,水分和硫分偏差分别为0.31%和0.03%,均满足企业精度控制要求。在实时检测数据支撑下,构建了重介灰分闭环控制系统,实现分选密度的自动调节。系统投用后,过程精煤稳定率由55%提升至85%,外运精煤稳定率由88%提升至98%,精煤平均灰分由10.70%提高至10.82%,精煤产率提高0.29个百分点,年增经济效益约1392万元。该技术有效提升了选煤过程的智能化控制水平,具有良好的推广应用价值。

     

    Abstract: The ash content of clean coal is a key quality indicator in the coal preparation production process of coking coal, achieving timely and accurate detection of ash content is the foundation for stabilizing product quality and improving economic benefits. In view of the existing problems of insufficient representativeness, lagged data and adjustment and others in the traditional manual sampling and chemical examination method, Wobei Coal Preparation Plant introduces two high-precision multi-element online coal quality analyzers based on Prompt Gamma Neutron Activation Analysis (PGNAA) technology, which are respectively used for online ash content monitoring of heavy medium clean coal and flotation clean coal. PGNAA technology utilizes a 252Cf neutron source to excite coal samples and generate characteristic gamma rays, achieves rapid quantitative analysis of ash content by analyzing the content of ash forming elements such as Si, Al, and Fe, etc. The on-site applications show that the analyzer has good adaptability under different coal types and particle size conditions, the absolute deviation of ash content detection in heavy medium clean coal is 0.12%, the absolute deviation of ash content detection in flotation clean coal is 0.13%, and the deviations of moisture and sulfur content are 0.31% and 0.03%, respectively, all of which meet the precision control requirements of enterprises. Supported by real-time detection data, a closed-loop control system for heavy medium ash content is constructed, and automatic adjustment of sorting density is achieved. After the system is put into use, the stability rate of process clean coal is improved from 55% to 85%, the stability rate of externally transported clean coal is improved from 88% to 98%, the average ash content of clean coal is improved from 10.70% to 10.82%, the clean coal yield is improved by 0.29 percentage points, and the annual economic benefits is increased by about 13.92 million yuan. This technology effectively improves the intelligent control level of coal preparation process and has good promotion and application value.

     

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