针对电力设备运行过程中监测数据库管理分析能力落后、监测数据管理欠妥的问题,本文设计了一种新型的监测数据库管理分析系统,并设计出基于ARM CortexM0微处理器的硬件监测电路,通过压电传感器和电流振荡传感器实现系统对电力设备运行状态自动信息采集,构建出tSNE算法模型。实验结果表明,本研究系统的准确度高达98%,运行耗能相对较低(在5%左右),可视化效果较好,动态监测预警能力较强。
Abstract
Aiming at the problems of backward monitoring database management and analysis capabilities and improper monitoring data management during the operation of power equipment, a new monitoring database management analysis system is designed, and a microprocessor based on ARM CortexM0 is designed.The hardware monitoring circuit of the system realizes the automatic information collection of the operating state of the power equipment through the piezoelectric sensor and the current oscillation sensor, and constructs the t-SNE algorithm model.The experiment results show that the accuracy of the research system is as high as 98%, the operating energy consumption is relatively low at about 5%, the visualization effect is better, and the dynamic monitoring and early warning capabilities are strong.
关键词
电力设备 /
动态可视化 /
tSNE算法 /
数据库管理
Key words
power equipment /
dynamic visualization /
t-SNE algorithm /
database management
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