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提出通过采集、分析流化床风帽压力波动信号的方法,实现对床内气固两相流的状态监测.在冷态鼓泡流化床试验台上,对不同表观气速、不同床料粒径分布条件下的风帽压力波动信号进行采集,并采用小波包变换分析方法计算小波包各分解结点的功率谱密度值,分析了流化风速及粒径变化对鼓泡流化床压力波动特性的影响.结果表明:小波包分解低频结点的压力信号功率谱密度值P30、P31的变化与表观气速和床内物料粒径分布变化密切相关,表明基于流化床风帽压力信号的流化床状态监测方法具有可行性.
A method of monitoring the gas-solid two-phase flow in the bed by means of collecting and analyzing the pressure fluctuation signal of the fluidized bed hood was proposed.In the cold state bubbling fluidized bed test bed, the effects of different superficial gas velocities, different bed materials Particle pressure distribution of the wind cap pressure fluctuation signal acquisition, and the use of wavelet packet transform analysis of the wavelet packet decomposition of the power spectral density of each node, analysis of the fluidized velocity and particle size changes on the bubbling fluidized bed pressure fluctuations The results show that the change of P30 and P31 of the pressure signal at the low-frequency node of wavelet packet decomposition is closely related to the change of apparent gas velocity and the particle size distribution in the bed, indicating that the pressure signal based on the pressure signal of the fluidized bed pin Fluidized bed condition monitoring method is feasible.