Research Of Low-carbon Environment Visualization Based On Data Intelligence

As the consequences of climate change become increasingly prominent,the survival of mankind is faced with great challenge.The real-time monitoring,analysis,prediction and visualization of low-carbon environment are becoming more and more necessary.Because the low-carbon environment data were so large and miscellaneous,researchers in the field of environment were unable to make full use of the data.Therefore,this paper revolved around the whole process of low-carbon environment data processing to research,including collection,organization,denoising,interpolation,prediction,visualization and so on.First of all,this paper analyzed and evaluated some basic methods used in environmental data processing briefly,studied the interpolation problem of low-carbon environment data in depth,and presented a high reliability of integrated interpolation algorithm.It laid a solid foundation for the further research.Secondly,a summary and analysis of the intelligence characteristics embodied by low-carbon environmental data in time and space was given.Based on this,low-carbon environmental data intelligent prediction problem was educed,and an intelligent predictable method based on the ternary models echo state network was presented.Ternary was the basic component of low-carbon environment,and mainly divided into ecology,production and life related to low-carbon.The research of intelligent predictable method provided algorithm and data basis for this subject in the process of visualization.Then,this paper focused on the key technology of low-carbon environment visualization based on the simulation engine.The visualization method based on simulation engine was essentially the realization of digital earth technology in the simulation engine,then put the low-carbon environmental data on the surface of the earth model.The main reason of using the visualization method based on the simulation engine was that the technology of the simulation engine is strong enough to build a real-time,interactive visualization platform system,which can treat with a large amounts of environmental data.This part was mainly divided into the construction of earth model,conversion of coordinates,the stack of the elevation data and low-carbon texture data,the roaming control of camera and the design of the system time.The construction of earth model and the stack of the elevation data were the most complicated parts.Finally,this paper verify the method by implementing the prototype system of low-carbon environment visualization.The corresponding test has been given to this system and achieved expected results.