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采矿防爆设备的损坏量化使用热火焰动力学和改进的LSTM
Xue Xusheng1,2,3, Zhang Enqiao4,5,6, Zhang Hongkui7
1School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China.
Scientific reports
|September 1, 2025
概括
这项研究引入了一种使用改进的LSTM网络和热成像来量化防爆设备中火焰传播损害的新方法. 这种方法可以准确地评估损坏的严重程度,从而提高采矿环境的安全性.
科学领域:
- 工程
- 计算机科学
- 材料科学
背景情况:
- 在防爆设备中缺乏火焰传播的定量描述.
- 内部非点火引爆试验需要强大的损害评估方法.
研究的目的:
- 通过热成像和改进的LSTM模型,提出一种用于防爆设备的新型损伤严重程度量化方法.
- 在采矿安全应用中提高损害诊断的准确性和可靠性.
主要方法:
- 构建了一个爆炸火焰热成像数据集.
- 使用更快的R-CNN进行火焰轮细分和特征提取.
- 采用了改进的LSTM模型,具有双向融合和多层堆叠,用于时空特征分析.
主要成果:
- 在5至20厘米的损伤水平上,预测误差在2%之内.
- 证明了双向融合和深度特征建模在捕获火焰动态方面的有效性.
- 通过近零误差分布转移的实验结果验证了该方法的准确性.
结论:
- 拟议的数据驱动方法准确地量化了火焰传播损害的严重程度.
- 这种方法支持采矿防爆设备的安全认证和维护.
- 这些发现对提高煤矿安全具有重要意义.
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