An Efficient & Non-contacting
UAV-based Ship Emission & Fuel Sulfur Content (FSC) Monitoring
Fly Sniffer4D into ship gas plumes, analyze the gas plume compositions, and estimate the fuel sulfur contents of the ships using Soarability's proprietary advanced inversion algorithm.
无人机搭载灵嗅,配合实时数据分析软件,形成一套完整的尾气监测方案:
飞手在河岸或巡航船上操作无人机飞行至船舶排气烟羽附近(下风区),快速进行尾气污染物测定,
同时,利用科学先进的数据算法进行硫碳比实时反算,并在软件中呈现出该船舶燃油的硫含量预估值,从而帮助监管机构完成远程、高效、精准的初步筛查工作。
Sniffer4D Ship Emission & Fuel Sulfur Content Monitoring Solution
● Real-time 2D grid gas distribution map ● Time-variant gas concentration graphs ● Real-time estimation of fuel sulfur content
Simple Workflow
与常规环境监测不同,船舶尾气中常含有高浓度SO2、NOx、VOCs以及CO2,而电化学传感器对高浓度组合气体存在较为明显的交叉敏感现象,
因此需要利用机器学习算法对交叉敏感进行补偿,才能得到较为可靠的硫含量测算数据。
Test Cases
Overseas Chinese Scholar Venture Building, Nanshan District, Shenzhen, China
Tel: (+86) 755-86560586 / (+86) 19924532892
Email: inquiry@soarability.tech
Contact Information
Copyright@ 2021 SZ Soarability Technology