基于多源数据协同感知的电气火灾预警算法研究

Research on Electrical Fire Warning Algorithm Based on Multi-source Data Collaborative Sensing

在考虑电气数据的时序性与不同传感数据之间相关性的基础上提出了基于多源数据协同感知的电气火灾预警算法。该算法首先将传感数据用“时间序列”形式表示,利用改进的传感数据时序连续性检测算法计算单源传感数据相对离群距离,进而进行异常值检测;用多视图低秩分析法分析多源传感数据之间的关系进而识别出异常值。最后将检测结果进行实时有效的融合处理,从而得到更加准确的异常数据检测结果。实验结果表明,该算法异常检测率更高。

A electrical fire warning algorithm based on multi-source data collaborative sensing was proposed,which takes into account the temporal characteristics of electrical data and the correlation between different sensing data.The relationship between multi-view and low rank analysis is used to identify outliers.Finally,the detection results are fused in real time and effectively to obtain more accurate abnormal data detection results.The experimental results proved the higher anomaly detection rate of the algorithm.