在天然气测量中的多路径超声波流量计的物理约束高精度数据驱动建模
Haohui Cai1,2, Wensi Liu3, Kaixi Zhou3
1PipeChina West Pipeline Company Ltd., Xinjiang 830013, China.
Sensors (Basel, Switzerland)
|July 27, 2024
概括
这项研究引入了一种新的超声波流量计建模方法,将数据学习和物理知识结合起来. 该方法实现了天然气流速预测的高精度,误差低于1%.
科学领域:
- 机械工程 机械工程
- 流体动力学 流体动力学
- 数据科学数据科学数据科学
背景情况:
- 超声波流量计对于天然气运输至关重要,需要准确的流速数据进行性能分析.
- 现有的建模方法在实现实际应用所需的高精度方面面临挑战.
研究的目的:
- 开发一个准确和可解释的超声波流量计建模方法.
- 加强对天然气管道计量性能和流量过程的分析.
主要方法:
- 一种混合方法,将数据学习与工业物理知识相结合,用于超声波流量计建模.
- 利用管道流速场速度分布用于数据预处理和损失函数设计.
- 在各种工作条件下构建流速预测模型.
主要成果:
- 拟议的方法实现了与真实声道流速分布密切匹配的预测结果.
- 实验验证表明预测错误可以在1%以内得到控制.
- 该模型具有很高的准确性和可解释性.
结论:
- 开发的方法有效地满足了超声波流量计建模的严格准确性要求.
- 这种方法支持在天然气运输中改进性能分析和运营效率.
- 将基于物理的知识与数据学习相结合,为复杂的流量测量挑战提供了强大的解决方案.
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