Soft-sensing Technology In The Ethylene Distillation Process Applied Research

As modern petrochemical enterprise's control, metering, energy efficiency and operational reliability requirements and continuous improvement, measuring demand is growing. In the actual production process, there is a large class of variables, due to technical or economic and other reasons, it is difficult or not directly through the sensor for detecting, but is also needed to be strictly controlled, and the quality of the product very closely related process parameters. This will directly affect the quality of the product, as well as the stable operation of the system, for business economic loss should not be underestimated. Soft-sensor technology is rapidly developing.In this article systematic, thorough research soft survey technology certain important aspects, take the least squares method and the neural network theory as the foundation, in the thorough understanding ethylene rectifying tower technical process and in the selective evaporation principle foundation, carries on the ethylene rectifying tower to export the ethylene purity soft measurement system the research. And was unstable in view of the online analysis measuring appliance existence survey lag, has used the least squares method, the artificial neural networks as well as the support vector machines modeling technology, has established the ethylene purity soft survey three kind of models.