基于物联网的电力通信电源故障检测技术

Fault Detection Technology For Power Communication Power Supply Based on the Internet of Things

随着电力系统对可靠性要求的不断提高,电力通信电源的稳定运行显得尤为重要。针对传统的故障检测方法存在滞后性和低效率等问题,提出一种基于物联网的电力通信电源故障检测技术,通过多源传感器数据采集、高效数据传输和基于贝叶斯网络的故障诊断算法,全方位监测和精准诊断电源设备。实验结果表明,该技术在故障检测率、响应时间、误报率以及漏报率等关键指标上均显著优于传统方法,这为电力通信电源的智能化运维提供了有力支撑。

With the continuous improvement of reliability requirements of power system,the stable operation of power communication power supply is particularly important.The traditional fault detection method has some problems such as lag and low efficiency.This paper proposes a power communication power supply fault detection technology based on the Internet of Things.Through multi-source sensor data acquisition,efficient data transmission and fault diagnosis algorithm based on Bayesian network,the comprehensive monitoring and accurate diagnosis of power supply equipment are realized.The experimental results show that the technique is significantly superior to the traditional method in fault detection rate,response time,false alarm rate and false report rate,which provides a strong support for the intelligent operation and maintenance of power communication power supply.