The invention discloses a
sensor network security real-time online
monitoring system based on parallel filtering. According to the invention, real-
time estimation is carried out on true values of power values measured by all instruments by using a parallel unscented
Kalman filter; when the network has a fault, namely, when a
system operation failure, an instrument and meter failure or a
network attack occurs, deviation is generated between two filters, the deviation is accumulated by using a generalized CUSUM detection method taking KL
divergence as an index to obtain decision statistics of fault detection of the whole
system and each instrument and meter, and when the decision statistics exceeds a predefined threshold, alarm information is given to indicate that the fault occurs. According to the
monitoring system provided by the invention, the abnormal condition of the
electric power information
physical system is effectively monitored from the perspective of sensor data, and the
system has relatively high embedding property, real-time property and stability, is convenient to develop on an original system, and ensures the safe and economic operation of the
electric power system.