基于大数据分析的国网商场采暖技术应用辅助决策系统设计

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI:10.1109/icceic51584.2020.00027

Po Hu, Keliang Duan, Weiqiang Huo, Qiong Zhang, MengYa Zhou, Yunlin Ba

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引用次数: 0

摘要

针对目前使用的决策系统由于数据处理能力低，响应时间长，造成能源浪费的问题，设计了基于大数据分析的国网小型供热技术应用辅助决策系统。对原有硬件的数据采集和处理部分进行了优化，并在系统的软件部分对采集到的数据进行了精简和离散化处理。采用大数据分析技术，实现数据分析后的辅助决策系统功能。实验结果表明，所设计的系统决策响应时间短，效率高，能有效减少能源浪费。

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Design of state Grid shopping mall heating technology application assistant decision system based on big data analysis

In view of the problem that the decision-making system currently in use takes a long time to respond and causes energy waste due to its low data processing capacity, the state Grid mall heating technology application assistant decision-making system based on big data analysis was designed. The data acquisition and processing part of the original hardware is optimized, and the collected data is reduced and discretized in the software part of the system. Big data analysis technology is used to realize the function of assistant decision system after data analysis. The experimental results show that it is verified that the designed system has short decision response time, high efficiency and can effectively reduce energy waste.

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2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)

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