Abstract
A method of real-time prognosis of flooding phenomenon in packed columns includes steps as follows. An online data collecting step is conducted, wherein a plurality of pressure drop data are collected from a packed column under an operation state. A calculating step is conducted, wherein the pressure drop data are calculated to obtain a plurality of steadiness indexes. A statistical step is conducted, wherein the steadiness indexes are calculated to obtain a statistic. A control step is conducted, wherein the statistic is compared to a control limit. When the statistic is greater than the control limit, an alarm is triggered. As such, the method of real-time prognosis of flooding phenomenon in packed columns according to the present disclosure does not need a great number of empirical parameters, can be applied to various types of packed columns, does not rely on artificial judgment, can provide an accurate judgement. Accordingly, the method of real-time prognosis of flooding phenomenon in packed columns is extremely practicable in industry.