Today's mechanical fluid separators in industry are mostly operated without any control to maintain efficient separation for varying inlet conditions. Controlling inline fluid separators, on the other hand, is challenging since the process is very fast and measurements in the multiphase stream are difficult as conventional sensors typically fail here. With recent improvement of process tomography sensors and increased processing power of smart computers, such sensors can now be potentially used in inline fluid separation. Concepts for tomography-controlled inline fluid separation were developed, comprising electrical tomography and wire-mesh sensors, fast and massive data processing and appropriate process control strategy. Solutions and ideas presented in this paper base on process models derived from theoretical investigation, numerical simulations and analysis of experimental data.

中文翻译：

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基于智能过程断层扫描传感器的受控在线流体分离

今天工业中的机械流体分离器大多在没有任何控制的情况下运行，以在不同的入口条件下保持有效的分离。另一方面，控制在线流体分离器具有挑战性，因为该过程非常快，并且在多相流中的测量很困难，因为传统传感器通常会在此处失效。随着最近过程断层扫描传感器的改进和智能计算机处理能力的提高，这种传感器现在可以潜在地用于在线流体分离。开发了断层扫描控制的在线流体分离的概念，包括电断层扫描和丝网传感器、快速和海量数据处理以及适当的过程控制策略。本文提出的解决方案和想法基于理论研究得出的过程模型，