The application discloses a cross-region synchronous power
monitoring system and method based on a
time series database, and relates to the technical field of
data analysis.The method comprises the following steps: acquiring historical abnormal events and storing them into a
time series database, extracting first and second event features therefrom, calculating a
perception response duration and a
recovery treatment duration, and taking the two as third event features; step-by-step construction of corresponding
event sequence models to obtain a complete
event sequence model set of all abnormal events; screening of event pairs by traversing the set, analysis of
causality based on the event pairs, determination of a causal relationship, and generation of a
causal link pair set; traversal of the
causal link pair set, marking of associated causal chain pairs and grouping; establishment of a mapping and storage into a
knowledge base, marking of consequence types and average
recovery durations of each situation element; real-time monitoring of situation element abnormalities, query of the
knowledge base to find common consequences, calculation of an estimated maximum
recovery time, and early warning if the estimated maximum recovery time exceeds a threshold value.The application realizes cross-region synchronous power monitoring.