In the industrial process of propane-propylene separation, the anti-interference performance of the separator is crucial. Various factors may interfere with the separation process, such as fluctuations in feed flow, changes in feed composition, changes in ambient temperature and pressure, etc. Optimizing anti-interference performance can ensure high efficiency and stability of separation.

First, advanced flow control technology can be used to address the interference of feed flow fluctuations. For example, a high-precision flow control valve can be installed and equipped with an intelligent control system. When the feed flow suddenly increases or decreases, the control system can quickly adjust the valve opening to keep the flow entering the Propane-Propylene (PP) Splitter relatively stable. A stable feed flow helps maintain the gas-liquid balance in the tower and ensure the normal separation of propane and propylene.

For the interference of feed composition changes, strengthening the pretreatment and analytical monitoring of the feed is the key. Before the feed enters the separator, a component analysis instrument is added to monitor the ratio of propane and propylene and the impurity content in real time. Once a large change in composition is found, the separation process parameters can be adjusted, such as changing the operating temperature and pressure of the distillation tower. Optimizing operating conditions according to the feed composition can reduce the problem of decreased separation efficiency caused by composition changes.

Changes in ambient temperature and pressure can also interfere with the separation process. To address this problem, the Propane-Propylene (PP) Splitter can be designed with good insulation and pressure stability. Use high-quality insulation materials to wrap the equipment to reduce the impact of external temperature changes on the internal temperature field. At the same time, equip the pressure regulator to ensure that the internal pressure of the equipment is stable within a suitable range.

In addition, improving the automation and intelligence level of the equipment itself is also an effective way to optimize anti-interference performance. Collect equipment operation data through a sensor network, use big data analysis and artificial intelligence algorithms to predict possible interference factors, and make adjustments in advance, so that the Propane-Propylene (PP) Splitter always maintains good separation performance in a complex industrial environment.