Design Of Ship Exhaust Autonomous Monitoring System Based On UAV

The air pollution caused by ship exhaust is becoming more and more serious,so using more scientific means to monitor ship exhaust has become more and more concerned by law enforcement departments.At present,with the rapid development of UAV technology,the ship exhaust monitoring system based on UAV is more popular.However,the existing UAV monitoring systems on the market all require law enforcement personnel to manually control the UAV throughout the whole process,which has very high requirements for the operation of law enforcement personnel.Due to improper operation,the system is easy to be damaged or even destroyed.Therefore,it is of high research value and economic prospect to design a simpler,more intelligent and more reliable UAV ship exhaust monitoring system.This thesis designs an autonomous monitoring system for Marine exhaust gas based on unmanned aerial vehicle.The main work contents are as follows:First of all,this thesis analyzes the requirements of the monitoring system to be designed according to the system monitoring process,and carries out a summary design of the system from the perspective of ship exhaust concentration monitoring,ship fuel sulfur content monitoring,wireless data transmission,autonomous navigation,ship exhaust plume identification and tracking and other functions.Then,the hardware and software of the two modules of ship exhaust monitoring and autonomous flight of UAV are designed respectively.In terms of ship exhaust monitoring module,in order to solve the positive interference of CO on SO₂ monitoring,this thesis compensates the cross sensitivity through SMA（Slime Mode Algorithm）-BP（Back Propagation）.Through experiments,compared with traditional BP neural network,The SMA-BP algorithm can compensate the cross sensitivity better,and greatly improve the monitoring accuracy of SO₂.In terms of unmanned aerial vehicle autonomous flight module,in order to solve the problem of identification and tracking of ship exhaust plume,this thesis transforms the complicated problem of identification and tracking of ship exhaust plume into a relatively simple problem of identification and tracking of ship chimney through the study of ship exhaust plume diffusion model,so that the system can have direct contact with the plume as far as possible in the monitoring process.Ensure the reliability of monitoring data.Finally,in order to verify the feasibility of the system designed in this thesis,simulation and real experiments are carried out respectively.Through simulation experiments,it is proved that the system can complete the tasks of autonomous navigation,identification and tracking of ship chimney well.The experimental results show that the system can monitor the plume effectively.