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The Structure And Control Design Of Sewage Detector Based On GPS Cruise

Posted on:2021-03-21Degree:MasterType:Thesis
Country:ChinaCandidate:Z SunFull Text:PDF
GTID:2381330611998482Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of China,the problem of water pollution has become increasingly serious.The state has made great efforts in the monitoring and control of water environment,and has achieved great results.However,the status quo of water pollution is still grim.The detection and treatment of water pollution is a long-term battle,and it will not be completed overnight.Moreover,in most cases before and now,the monitoring of the water environment is by manual means,such as: boating water,placing floats,establishing water monitoring stations,etc.These monitoring methods not only require a large amount of manpower,material resources and financial resources,but also have a relatively fixed monitoring position.The monitoring range is small,the density is low,and the period is long.The dynamic data of the water body cannot be obtained quickly an d accurately.In view of this,rapid,efficient and low-cost monitoring of large-scale,high-density water quality and real-time dynamic data of water quality have become the mainstream demand for modern water quality monitoring.The existing monitoring stations and monitoring vessels cause blind spots due to factors such as terrain and weather.Moreover,these monitoring methods not only consume a large amount of manpower,material resources and financial resources,but also have a narrow monitoring range,a relatively fixed position,a long period,and incapable of accurately and quickly obtaining water quality parameters.With the development of science and technology,as a new platform,unmanned ship and many unmanned platforms as the latest carrier of work,has strong practicability and convenience.In the field of water quality monitoring,traditional man-made monitoring has many shortcomings.Firstly,for the monitoring of water body,manual monitoring is difficult to achieve real-time measurement and analysis,and some hidden corners are difficult to enter manually.Therefore,the application points of small unmanned ships can be reflected.The unmanned ship can enter some small rivers to achieve convenient measurement,and the unmanned ship can achieve remote control,through the 4G signal to carry out remote measurement is more achievable.This dissertation designs and produces a sewage detection vessel with reference to various experiences of unmanned water quality monitoring vessels at home and abroad.The sewage detection vessel is characterized by intelligence,miniaturization,unmanned and strong maneuverability.Through the various sensors carried by it,the dynamic data of the water body can be accurately and real-time monitored and transmitted back to the monitoring center in real time through network communication.The sewage detection vessel can realize remote control or autonomous navigation through algorithms,which greatly improves work efficiency and reduces costs.Due to its small size and shallow draft,the sewage detection vessel can achieve water quality monitoring tasks in narrow waters and shallow waters.And through GPS positioning technology,you can also monitor every water area that the sewage detection vessel has gone through.Un der the support of big data,various maps of water quality data changes in the tested waters can be drawn,which is more conducive to water quality monitoring,pollution tracking,analysis and treatment.The main work of this paper is to design the overall structure of the ship,the hardware and software design,the trajectory planning of the sewage detection vessel,and the production of sewage detection vessels.The ship adopts a double-body structure and has the characteristics of good stability,shallow draft and good operability.The large-capacity lithium battery is used as the power to ensure long-term cruising and ensure the endurance.
Keywords/Search Tags:sewage survey vessel, GPS positioning, autonomous cruise, trajectory planning
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