基于定性趋势分析的气流床水煤浆气化炉烧嘴运行状态诊断  

Diagnosis of the operation state of entrained flow coal water slurry gasifier burner based on qualitative trend analysis

作　　者：李姗姗 龚岩 郭庆华[1] 于广锁[1] LI Shanshan;GONG Yan;GUO Qinghua;YU Guangsuo(Institute of Clean Coal Technology,East China University of Science and Technology,Shanghai 200237,China)

机构地区：[1]华东理工大学洁净煤技术研究所,上海200237

出　　处：《洁净煤技术》2021年第1期239-244,共6页Clean Coal Technology

基　　金：国家重点研发计划资助项目(2017YFB0602404);国家自然科学基金资助项目(21761132034)。

摘　　要：气流床水煤浆气化技术是一种清洁高效的煤炭能源利用技术,工艺烧嘴是该气化工艺过程的核心设备之一。烧嘴长时间使用会逐渐磨损烧蚀,存在安全隐患,而目前对烧嘴运行状态的诊断除烧嘴本身的联锁外仍主要依赖人员工程经验。定性趋势分析是一种基于过程历史的数据驱动方法,在过程监测和故障诊断中得到广泛应用。将定性趋势分析应用于气流床水煤浆工业气化装置的数据分析,探究不同烧嘴运行时长的气化装置生产数据之间的差异,提出了一种基于数据波动差异判断烧嘴运行状态的诊断方法。对比2个不同烧嘴运行时长的气化装置生产数据的趋势基元序列及基元分段数据变化率。结果表明,烧嘴运行时间增长主要体现在数据的波动频率及波动幅度两方面,烧嘴运行时间越长,煤浆流量、烧嘴压差、渣口压差及出口合成气CH4含量波动幅度越大,波动频率越高。实际应用中可以通过对比烧嘴数据的波动频率与波动幅度来判断烧嘴运行状态,主要监控趋势基元序列及趋势基元分段的数据变化率两类参数。当基元序列频繁出现相反趋势或数据变化率增大为初始参数的几倍时,可认为烧嘴运行状态已趋于不稳定,需要监控烧嘴运行或更换烧嘴。基于数据波动差异判断烧嘴运行状态的诊断方法能够帮助操作人员及时判断烧嘴运行状态,实现计算机辅助判断与工业大数据的结合。Entrained flow coal-water slurry(CWS)gasification technology is a clean and efficient coal energy utilization technology,and the gasifier burner is one of the core equipment of the gasification process.The burner will be gradually worn and ablated during the operation process,and there is a potential safety hazard.However,the diagnosis of burner operation status mainly depends on the engineer′s experience in addition to the interlock of the burner itself.Qualitative trend analysis(QTA)is a data-driven method based on process history,which is widely used in process monitoring and fault diagnosis.In this paper,QTA method was applied to the data analysis of entrained flow CWS industrial gasification devices to explore the difference between the operating data of gasification device with different burner working time.A diagnosis method based on the difference of data fluctuation was proposed to judge the operation status of burner in time.The trend primitive sequence and the change rate of primitive segmented data of the gasification plant production data of two different burner operating hours were compared.The results show that the growth of burner operating time is mainly reflected in the data fluctuation frequency and amplitude In two respects.The longer the burner operating time is,the greater the fluctuation range of the four sets of data of coal slurry flow,burner pressure difference,slag mouth pressure difference and outlet syngas CH 4 content is,and he higher the fluctuation frequency is.In practical applications,the operating status of the burner can be judged by comparing the fluctuation frequency and amplitude of the burner data.Two types of parameters are mainly monitors:the trend primitive sequence and the data change rate of the trend primitive segment.When the primitive sequence frequently shows the opposite trend or when the data change rate increases to several times of the initial parameters,it can be considered that the operating state of the burner has become unstable,and it is necessary to mon

关 键 词：气流床水煤浆气化 工艺烧嘴 定性趋势分析 状态诊断 

分 类 号：TQ546[化学工程—煤化学工程]