Ship exhaust emission online analysis method and system based on intelligent sensor

By using six-axis inertial sensor compensation, self-calibration, and intelligent fault diagnosis, the measurement error and misjudgment problems of the ship exhaust gas online monitoring system under motion environment and multiple fuel types are solved, realizing highly accurate and fault-tolerant ship exhaust gas emission analysis.

CN122084540APending Publication Date: 2026-05-26WUXI BAOHONG SHIPPING MASCH CO LTD
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Patent Information

Application Number
CN202610197641.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-11
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing ship exhaust gas online monitoring systems suffer from insufficient measurement accuracy in ship motion environments, require manual sensor calibration, have poor adaptability to multiple fuel types, and are difficult to identify sensor malfunctions, leading to measurement errors and misjudgments.

Method used

A six-axis inertial sensor is used for motion disturbance compensation, carbon dioxide response signal is used for self-calibration, fuel type identification and correction parameters are used, and intelligent fault diagnosis is performed by combining the stoichiometric relationship between components. A data-driven and physical equation hybrid model is used for fault-tolerant reasoning.

Benefits of technology

It improves measurement accuracy in ship motion environments, automatically calibrates sensors, adapts to multiple fuel types, reduces misjudgments, and enhances system fault tolerance and data continuity.

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Abstract

The invention discloses a ship exhaust emission online analysis method and system based on an intelligent sensor, and relates to the technical field of ship emission monitoring. The method comprises the following steps: acquiring ship motion attitude data through a six-axis inertial sensor, performing motion disturbance compensation on an original spectrum signal acquired by a spectrum detection sensor, and performing Gaussian weighted averaging according to a rolling angle to obtain a motion compensation spectrum signal; carrying out attenuation compensation self-calibration by taking the carbon dioxide response signal as an internal source reference, and identifying and correcting a fuel type based on a characteristic component concentration ratio to obtain multi-component concentration data; a residual vector is obtained through an inter-component correlation constraint model, a carbon balance deviation is obtained through a carbon balance equation, sensor offset and real emission change are cooperatively judged, and a data quality grade is marked; and when the data is unavailable, reasoning a concentration value by using a physical constraint neural network. The device can adapt to the ship motion environment, continuous self-calibration and multi-fuel adaptation are achieved, and the measurement reliability is improved.
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