A Diffused Mini-Sniffing Sensor for Monitoring SO2 Emissions Compliance of Navigating Ships

Sensors (Basel). 2022 Jul 12;22(14):5198. doi: 10.3390/s22145198.

Abstract

The ship exhaust sniffing unmanned aerial vehicle (UAV) system can be applied to monitor vessel emissions in emission control areas (ECAs) to improve the efficiency of maritime law enforcement and reduce ship pollution. To solve the problems of large size, heavy weight and high cost of ship exhaust sniffing sensors, in this paper, a unique diffused mini-sniffing sensor was designed, which provides a low-cost, lightweight, and highly adaptable solution for ship exhaust sniffing UAV. To verify the measurement accuracy of the system, a large number of on-site tests were performed based in the mouth of the Yangtze River, and some cases of violation of the fuel sulfur content (FSC) were verified and punished. Maritime law enforcement officers boarded the ship to take oil samples from eight suspected ships and sent them to the laboratory for testing. The results showed that the FSCs of the eight ships in chemical inspection were all greater than the regulatory limit 0.5% (m/m) of the International Maritime Organization (IMO). The system enables authorities to monitor emissions using rotary UAVs equipped with diffused mini-sniffing sensors to measure the FSC of navigating ships, which couple hardware and operational software with a dedicated lab service to produce highly reliable measurement results. The system offers an effective tool for screening vessel compliance.

Keywords: UAV; diffused mini-sniffing sensor; emission control areas; fuel sulfur content; ship exhaust.

MeSH terms

  • Air Pollutants* / analysis
  • Diffusion
  • Environmental Monitoring / methods
  • Particulate Matter / analysis
  • Rivers
  • Ships*
  • Sulfur / analysis
  • Vehicle Emissions / analysis

Substances

  • Air Pollutants
  • Particulate Matter
  • Vehicle Emissions
  • Sulfur

Grants and funding

This research was supported by the Joint research on the ecological intelligent monitoring and impact assessment of inland waterway engineering (grant no. 2019YFE0121000), Tianjin Science and Technology Development Project (grant no. 19PTZWHZ00070) and the Fundamental Research Funds for the Central Public Welfare Research Institutes (TKS20210207).