轻量级模型实时精准检测混合气体中乙烯浓度
MENGLAN: Multiscale Enhanced Nonparametric Gas Analyzer with Lightweight Architecture and Networks
- 双流结构+混合多头注意力+特征重激活模块
- 相比现有方法精度更高、计算量更低
- 适合工业场景部署，尤其注重实时性与成本
准确检测混合气体中的乙烯浓度对化工生产的安全与健康至关重要。传统方法因成本高、结构复杂，限制了实际应用。本文提出MENGLAN——一种多尺度增强的非参数气体分析器，融合双流结构、混合多头注意力机制和特征重激活模块，实现轻量化、实时化与高精度的乙烯浓度预测。实验结果表明，相较于现有方法，MENGLAN在性能、计算开销与可部署性方面均表现出显著优势。
原文摘要 · Abstract (English)
Accurate detection of ethylene concentrations in mixed gases is crucial in chemical production for safety and health purposes. Traditional methods are hindered by high cost and complexity, limiting their practical application. This study proposes MENGLAN, a Multiscale Enhanced Nonparametric Gas Analyzer that integrates a dual-stream structure, a Hybrid Multi-Head Attention mechanism, and a Feature Reactivation Module to enable real-time, lightweight, and high-precision ethylene concentration prediction. Results show that MENGLAN achieves superior performance, reduced computational demand, and enhanced deployability compared to existing methods.
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