To solve the problem of ship exhaust emission monitoring in Domestic Emission Control Areas (DECA), we present an Internet of Things (IoT)-based ship exhaust emission monitoring system in this paper. The system consists of three parts: a ship exhaust monitoring device installed above the lock, an IoT data platform, and a comprehensive display platform. The monitoring device uses an STM32 microcontroller as the Main Control Unit (MCU), obtains the concentration of various gases such as SO₂ and CO₂ in the smoke plume of the passing ships through gas sensors, and uploads real-time data to the ThingsBoard IoT data platform through the NB-IoT module. Finally, the fuel sulfur content (FSC) is calculated in the back end and is rendered to the front-end page. The test results show that the detection errors of SO₂, CO₂, and NO₂ are - 0.7%, - 3.2%, and 3.7% respectively. The result proves that the system has high monitoring accuracy and can effectively improve the efficiency of ship emission supervision.
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Chen et al. (2024) studied this question.
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