一种抑制反照率突变的TDLAS燃气遥测系统及方法
By constructing a parallel dual-drive data processing architecture and an online model tuning mechanism, the measurement instability problem of TDLAS gas telemetry technology when the reflective surface albedo changes abruptly is solved, and the continuity and accuracy of gas concentration measurement are achieved in harsh environments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TIANJIN POLYTECHNIC UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing TDLAS gas telemetry technology is prone to failure in scenarios with abrupt changes in reflectivity of the reflective surface. The concentration inversion method that relies on model fitting is prone to failure, resulting in inaccurate or interrupted measurement results, and cannot guarantee the continuity and accuracy of the measurement.
A parallel dual-drive data processing architecture is constructed by employing a raw signal sequence construction module, a signal quality factor calculation module, a distortion-insensitive feature extraction module, a model-driven inversion module, a data-driven estimation module, a dual-drive causal decision module, and an online model tuning module. The system switches to the data-driven path based on the signal quality factor judgment result, and performs concentration estimation by combining distortion-insensitive feature vectors and machine learning models to achieve online model tuning.
When the reflectivity of the reflective surface changes abruptly, the system can maintain the continuity of gas concentration measurement, reduce data interruption and concentration output deviation, and improve the stability and accuracy of the measurement results.
Smart Images
Figure CN122109020B_ABST