气体传感器阵列的新校准方案,用于更准确的混合气体测量模型
Yilun Ma1, Xingchang Qiu1, Zaihua Duan1
1State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, P. R. China.
本研究介绍了一种人工智能驱动的气体传感器阵列 (GSA) 模型,使用神经网络准确测量混合气体. 该方法提高了气体混合物分析的精度并降低了校准成本.
科学领域:
- 传感器技术 传感器技术
- 人工智能的人工智能是人工智能.
- 化学传感器是一种化学传感器.
背景情况:
- 由于交叉污染,气体传感器阵列 (GSA) 在混合气体分析中面临精度限制.
- 人工智能为提高GSA测量的精度提供了一个潜在的解决方案.
研究的目的:
- 开发和验证基于神经网络的测量模型,用于使用GSAs准确预测混合气体度.
- 提高GSA校准和测量过程的准确性和效率.
主要方法:
- 使用自动编码器网络 (AEN) 编码器从实验GSA数据中提取特征.
- 使用完全连接的层来预测气体度,以及用于数据增强的变化自动编码器.
- 实现了域差最大的技术,以实现最佳的校准点选择.
主要成果:
- 拟议的模型在混合气体测量中实现了高精度,相对误差在95%的置信度下低于3%.
- 与传统方法相比,校准方案显著减少了所需测试点的数量.
- 该模型展示了针对大型GSA部署的有效微调能力.
结论:
- 由人工智能驱动的GSA测量模型有效地克服了交叉污染的挑战,从而实现了精确的混合气体分析.
- 优化的校准策略降低了劳动力和设备成本,使GSA部署更经济.
- 这种方法代表了智能气体传感技术的重大进步.
更多相关视频
10:42Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
Published on: March 22, 2019
10:29Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
Published on: March 21, 2016
相关概念视频
Gas Chromatography: Types of Detectors-II
Flame Photometry: Lab
Gas Chromatography: Overview of Detectors
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...
Instrument Calibration
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
Gas Chromatography: Types of Detectors-I
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
Chemical Stoichiometry and Gases: Using Ideal Gas Law to Determine Moles
