Carbon Emission Data Management System Fusion of Multi-Source Data.

Against the backdrop of climate change becoming a global hot topic, global carbon emissions continue to grow. As the world's largest developing country, China is facing increasingly severe pressure to reduce emissions in its development. At the same time, in the current context of low-carbon transformation, the country has also begun to vigorously promote the carbon emission trading market. In the development process of China's carbon emissions trading market, there are still problems such as uneven data quality, insufficient data accuracy and standardization, which affect the normal operation of the carbon emissions trading market. Therefore, while the carbon emissions trading market is rapidly developing, it is necessary to establish a comprehensive carbon emissions data management system. This article analyzes the problems and future development directions of China's carbon emission data management system, and designs an overall design scheme for a carbon emission data management system based on multi-source data fusion. Through comparative experiments of UOS (ultimate Oscillator) indicators, it was found that the data transmission capacity of the carbon emission data management system designed in this paper with multi-source data can gradually improve the UOS value through continuous use. At the end of the experiment, it obtained a UOS value of up to 91.23%, far exceeding the efficiency of traditional data transmission. [ABSTRACT FROM AUTHOR]