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无人机船舶尾气监测系统研究
The Study of Ship Exhaust Emission Monitoring System Based on UAV

DOI: 10.12677/DSC.2023.121001, PP. 1-10

Keywords: 船舶尾气监测,无人机,气体传感器,数学模型
Ship Emission Monitoring
, UAV, Gas Sensor, Mathematical Model

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Abstract:

我国在船舶工业、港口以及各种船舶的拥有数量方面居于世界前列,但目前船舶尾气排放实测研究严重缺乏。目前,海事部门在现场执法过程中主要对燃油质量、记录台账等要求的内容进行检查,并根据实际情况确定是否进行燃油抽样测试的方式实现对船舶燃油硫含量的监管,该方法存在检查目标比较随机、针对性不强的缺点,而且登船检查成本较高,检查数量较少、效率相对较低。因此,设计了基于无人机的船舶尾气监测系统。监测系统由旋翼无人机自主飞行系统、机载气体采样系统、地面通讯控制系统和无线传输系统组成。地面通讯控制系统使用LORA模块与PC端进行数据传输,地面通讯控制系统基于建立的排放数学模型,通过Labview软件编程进行数据处理。对两种型号的船用发动机进行排放监测,监测数据结果显示,该系统能够快速监测船舶尾气中的SO2浓度,并通过数学模型计算得出燃油中的含硫量和NOx比排放,与原有的燃油抽取检测方式相比,更具有针对性和实时性。
It is clear in our county that the number of ships owned is very high in the world, but there is a severe lack of field research on ship exhaust emission. Maritime department mainly checks fuel quality and record in the process of law enforcement, then determines whether using fuel sampling to realize the supervision of sulfur content in ship fuel oil, according to the actual situation. There are some practical disadvantages to this approach, including poorly targeted, random in check target, higher cost, small number of checks, low efficiency. Therefore, a ship exhaust monitoring system based on unmanned aerial vehicle (UAV) is designed in this paper. The monitoring system is composed of autonomous flight system, airborne gas sampling system, ground communication control system and wireless transmission system. The ground communication control system, which is rely upon the LORA and PC for data transport, processes the data by LabVIEW based on the mathematical model of emission is established. The monitoring data showed that the system can quickly monitor the concentration of SO2 in ship exhaust gas and calculate the sulfur content and NOx brake emission by mathematical model. Compared with the original fuel sampling method, it is more targeted and real-time.

References

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