A flue gas monitoring method based on a UAV nacelle

By constructing a local spatial geometric model of the flue and dynamically adjusting the position of the UAV, the problem of insufficient data accuracy in UAV flue gas monitoring was solved, and the accurate calculation of flue gas emissions was achieved.

CN122409965APending Publication Date: 2026-07-17QINGDAO HAINA PHOTOELECTRICAL ENVIRONMENTAL PROTECTION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINGDAO HAINA PHOTOELECTRICAL ENVIRONMENTAL PROTECTION
Filing Date
2026-05-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing drone-based flue gas monitoring methods are susceptible to changes in wind direction and flow velocity, resulting in data that cannot accurately reflect the true diffusion and concentration distribution at the emission outlet, and they have failed to effectively improve measurement accuracy.

Method used

By constructing a local spatial geometric model of the flue, dynamically adjusting the monitoring position of the UAV, evaluating and correcting the quality of flue gas measurement data, and calculating the actual cross-sectional area, the accuracy of the monitoring data can be improved.

Benefits of technology

This improved the accuracy and stability of flue gas monitoring data in dynamic environments, ensuring the precision of flue gas emission calculations.

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Abstract

本发明提供一种基于无人机吊舱的烟气监测方法,包括:对原位测量点进行烟气测量并获取第一烟气数据;构建烟道的局部空间几何模型并确定烟道边界及其中心;预设目标测量位置和测量条件,判断烟气检测仪是否处于目标测量位置或其位置状态是否满足测量条件,若否则操控无人机进行位置调整及姿态补偿;对适宜测量点进行烟气测量并获取第二烟气数据,计算第二烟气数据与第一烟气数据的浓度差并进行质量评估及修正;计算适宜测量点处烟道的真实截面积并计算烟气排放量。本发明通过构建烟道的局部空间几何模型预设目标测量位置和测量条件以动态调整无人机的监测位置,对烟气测量数据进行质量评估及修正并计算真实截面积,达到提高烟气监测数据准确性效果。
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Citation Information

Patent Citations

  • Gas detection system and gas detection method based on unmanned aerial vehicle

    CN108490124A