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常规结渣判别指标的分辨率较低 ,往往得出与实际不一致的结果。基于模糊数学原理 ,以分辨率较高的 5个指标 (软化温度t2 、硅比G、硅铝比SiO2 /Al2 O3、碱酸比B/A和综合指数R)构成评判因素集 ,对取自辽河油田水煤浆锅炉不同部位的 4个样品进行了结渣倾向性综合判别。为了保证和考察所建模型的具体效果 ,分别将此模型和以前的“四因素”模型用于龙口电厂等 11个已知结渣程度煤样的判别 ,并将其结果与实际结渣情况进行了对比 ,以验证评判结果的可靠性
Conventional slagging discrimination index of low resolution, often come to the actual inconsistent results. Based on the principle of fuzzy mathematics, five factors (softening temperature t2, silicon ratio G, Si / Al ratio SiO2 / Al2 O3, alkalic acid ratio B / A and comprehensive index R) Four samples from different parts of the coal-water slurry boiler in Liaohe Oilfield were determined comprehensively. In order to ensure and examine the specific effect of the model, the model and the former “four-factor” model were respectively used for the determination of 11 coal samples with known degree of slagging at Longkou Power Plant, and the results were compared with the actual slagging In contrast, to verify the reliability of the judgment results