在多网格空间中使用改进的高斯羽毛模型检测和定位泄漏
Daquan Li1, Gaigai Liu2, Zhaoyong Mao1
1Key Laboratory of Unmanned Underwater Vehicle, Ministry of Industry and Information Technology, School of Marine Science and Technology, Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究引入了一种新的气体扩散模型,用于检测和定位复杂的多网格空间中的泄漏. 该方法使用气体度梯度准确识别泄漏源,这对于安全和资源节约至关重要.
科学领域:
- 环境工程 环境工程
- 化学工程是化学工程的重要组成部分.
- 传感器技术 传感器技术
背景情况:
- 有效的泄漏检测和定位对于预防危险和节约资源至关重要.
- 现有的方法通常仅限于传统管道和开放环境,在复杂的多网格空间中缺乏适用性.
- 在复杂的工业和环境环境中,对先进的泄漏检测策略的需求正在增长.
研究的目的:
- 开发和验证一种新的气体扩散模型,用于在多电网环境中检测和定位泄漏.
- 提出一种利用特征性气体度梯度进行精确泄漏源识别的方法.
- 为未来关于复杂空间中挥发性物质泄漏检测的研究提供基础参考.
主要方法:
- 专门适应多网格空间配置的气体扩散模型的构建.
- 选择和调整高斯羽毛模型的简单性和气体扩散的现实表现.
- 在电路系统中使用冷却液泄漏的实验验证,在不同源强度下进行重复试验.
主要成果:
- 开发的模型显示出与现实世界羽毛行为有很强的相关性,由高匹配相关系数 (0.995,0.997,0.997) 证明.
- 气体度梯度方法被证明是有效和合理的,用于定位在实验设置中的泄漏源.
- 实验数据证实了模型的准确性和拟议方法在模拟复杂环境中的适用性.
结论:
- 拟议的气体扩散模型和基于度梯度的定位方法对于多网格空间是有效的.
- 该研究验证了使用气体度梯度作为泄漏源确定可靠指标的有效性.
- 这项研究为含有挥发性物质的复杂环境中的泄漏检测提供了重大进展.
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