The application discloses an intelligent switch cabinet
integrated monitoring system and method, and relates to the technical field of
big data analysis.The application forms historical normal
data records by collecting state data, updating times and time stamps of normal operation of switches, and arranging and adding unique identification.The application generates switch state sequences by counting updating times, and constructs a reference state
library.The application extracts sequences to calculate state probabilities of other switches in different states of the switch, and constructs a judgment standard
library.After detecting the change of the switch state, the application collects actual data, matches the actual data with the standard
library, calculates the matching degree, and performs early warning and manual checking when the matching degree is lower than a threshold value.The
system comprises a data collection module, a
state sequence module, a probability standard module and a matching early warning module.The application improves the specification and query efficiency of
monitoring data, improves the accuracy of fault early warning, avoids chain faults, ensures the
safe operation of the switch cabinet, and improves the operation and maintenance efficiency.