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Design and online calibration methods of pressure-independent intelligent regulating valve based on hydrodynamic resistance characteristics

机译:基于流体动力学特性的压力独立智能调节阀设计与在线校准方法

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In the district heating system, hydraulic maladjustment led to uneven heating and severe energy consumption. The existing valves cannot be accurately adjusted in the pipe networks and the complex structures of some valves weaken the energy-saving potential, failing to meet the demand of smart heating development. Considering these problems, the hydrodynamic resistance characteristics of regulating valves are studied, and the design and online calibration methods of the pressure-independent intelligent valve based on it are proposed. Among them, a) A hybrid optimization algorithm combining the particle swarm optimization algorithm and Elman neural network trained by Levenberg-Marquardt algorithm in identifying hydrodynamic resistance characteristics of regulating valves quickly and accurately with the least amount of experimental data is studied. b) For valves of the same type with different sizes, similitude principle provides a theoretical basis in expanding hydrodynamic resistance characteristics. c) An online calibration method of the pressure-independent intelligent regulating valve applied in the heating system based on the principles of room temperature prediction and mass conservation is proposed which avoids the inconvenience of field calibration. The pressure-independent intelligent regulating valve is worth researching and developing which provides a novel idea for decoupling the hydraulic conditions in parallel loops and reducing energy consumption. (C) 2020 Published by Elsevier B.V.
机译:在地区供暖系统中,液压制剂导致了不均匀的加热和严重的能耗。在管道网络中不能精确调整现有阀,并且一些阀门的复杂结构削弱了节能潜力,未能满足智能加热开发的需求。考虑到这些问题,研究了调节阀的流体动力电阻特性,提出了基于其基于其的压力无关智能阀的设计和在线校准方法。其中,A)将粒子群优化算法和由Levenberg-Marquardt算法训练的粒子群优化算法和Elman神经网络的混合优化算法在识别调节阀的水动力电阻特性,并研究了最少量的实验数据。 b)对于具有不同尺寸的相同类型的阀门,类似原理在扩大流体动力学电阻特性方面提供了理论基础。 c)提出了一种基于室温预测原理和大规模保护的加热系统中施加的压力无关智能调节阀的在线校准方法,这避免了现场校准的不便。无关的智能调节阀值得研究和开发,提供了一种对并联环路中的液压条件去耦并降低能量消耗的新想法。 (c)2020由elsevier b.v发布。

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