Lakes Water Quality Monitoring Layout Optimization System Based On Unmanned Ship

With the development and progress of human society,the natural environment is under unprecedented pressure,especially the damage to the water resources in lake is more serious.The protection of water resources is not only related to the development of society,but also the conditions for human survival.Lake play a very important role in urban construction.It is not only one of the main sources of industrial water and residential water,but also has an important strategic significance of regulating climate,flood control and water storage.Therefore,it is necessary to establish a long-term and effective water quality monitoring system for Lake waters,which can prevent and improve the water quality environment and protect water resources from being destroyed.In recent years,china pays more and more attention to the protection of water resources.Many water quality monitoring stations have been established to systematically monitor and control large rivers and lakes,but the regulation of small and medium-sized lakes is not perfect.Because of the small area of small lakes,the cost of establishing water quality monitoring stations is too high and maintenance is difficult,so random sampling is often used for water quality monitoring.This way of water quality monitoring can only reflect the situation of Lake pollution,but can not reflect the data of the whole water area.Therefore,based on the above considerations,this paper designs a water quality monitoring system based on unmanned ship,carries out experiments for water quality monitoring of small lakes,and optimizes the layout design of water quality monitoring points.The water quality monitoring system based on unmanned vessel,which is realized by carrying water quality sensors on the hull and expanding related water quality monitoring functions.Water quality monitoring system is mainly composed of unmanned ship monitoring platform,ground control platform and remote data platform.Among them,the unmanned ship monitoring platform is the working platform of the system,which mainly completes the detection and sampling of water quality;the ground control platform is the task setting platform of the system,which mainly arranges work tasks and controls the movement of the unmanned ship;the remote data platform is the data center of the system,which mainly provides data preservation and processing.The experiment was validated by the water quality monitoring system built in Jinghu,Guangxi University.Combining with the existing optimization algorithm of monitoring point layout,the genetic algorithm based on RBF neural network is used to fit the parameters of water quality in space and optimize the monitoring point layout of Jinghu Lake.Then the single-objective optimization and multi-objective optimization are discussed,analyzed and experimented respectively.The experimental results show that,for the traditional equidistant sampling method,the genetic neural network algorithm can significantly improve the efficiency of water quality detection,and greatly save time and cost.Through continuous water quality monitoring,the results of optimization of monitoring point layout have good optimization effect in at least 6 weeks,which reduces the spatial fitting error of water quality indicators.The whole water quality monitoring system is built and optimized on the basis of good data support.The parameters of the system need to be adjusted according to different environment and climate in order to achieve good results.On the whole,the monitoring and optimization of water quality of lakes have been well completed.