Application of Carbon Emission Flow of Power Information Management System Based on Big Data Intelligent Analysis
2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA)(2023)
Abstract
With the increasing awareness of environmental protection, reducing carbon emissions globally has become an urgent task. As one of the industries with the highest carbon dioxide emissions, the power industry also urgently needs to adopt advanced technologies to reduce carbon emissions. This article aims to study a power information management system based on intelligent big data analysis to reduce carbon emissions and improve power efficiency. The system achieves rapid processing and accurate analysis of power information through big data analysis algorithms, and monitors, analyzes and optimizes carbon emissions based on real-time data. At the same time, the system can comprehensively manage the maintenance and operation of power equipment, further improving power efficiency and reducing carbon emissions. In conclusion, the power information management system based on intelligent big data analysis is an effective means to achieve automation and intelligence in the power system. It can improve power efficiency, reduce environmental pollution, and also promote the development of the power industry.
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Key words
Big data intelligent analysis,Power Information Management,Carbon emission flow system
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