Visual data analysis system and method thereof

The invention discloses a visual data analysis system and a method thereof. The method comprises the following steps: firstly, acquiring temperature values, current values and noise values of monitored secondary equipment at a plurality of preset time points in a preset time period, then, extracting context correlation feature vectors from the temperature values, the current values and the noise values at the plurality of preset time points, and finally, determining an analysis result based on the context correlation feature vectors. Through the mode, temperature, current and noise data of the secondary equipment at different time points are comprehensively utilized, and deep learning and artificial intelligence technologies are combined to monitor and identify abnormal conditions of the power secondary equipment, so that safe and stable operation of a power system is guaranteed. 公开了一种可视化的数据分析系统及其方法。其首先获取被监控二次设备在预定时间段内多个预定时间点的温度值、电流值和噪声值，接着，从所述多个预定时间点的温度值、电流值和噪声值中提取上下文关联特征向量，最后，基于所述上下文关联特征向量，确定分析结果。通过这样的方式，综合