Design And Simulation Of A Low-carbon Economy Visualization Platform

Under the background of the global environmental crisis and the growing greenhouse effect, the UK government put “low-carbon economy” forward. After the term, research on this concept has been sprung up as mushrooms flourishing. But for most articles, their research focused mainly on the concept of “low-carbon economy” or evaluation methods of development level or countermeasures of improving economy, instead of studying visualization. Therefore, in order to improve the visualization assessment, improve the convenience systemation and scientifiction of evaluation, this paper aims at an objective visualized evaluation of low-carbon economy to providing reference for the assessment of low-carbon economy.At first, this paper studies on the background, introduces the purpose and significance, and then through the literature reading, describes low carbon economy, visualization technology, and the data visualization simulation, to find out research methods. The second part is the description of the implementation process of visualization platform. And the third part is combining the conditions of index model and elements of time and space of a low-carbon economy multi-dimensional evaluation system. With inserting GIS technology, neural network model, this paper builds a visualization system, which is based on a client / server architecture. The fourth part describes in details the implementation process of the neural network simulation.Using this platform, you can analyze the various indicators changing and developing of the low-carbon economy, directly reflect the dynamic changes and historical patterns of different geographical scales, provide support for research.