The invention discloses an online monitoring method for the
full life cycle of a
transformer substation direct-current
system based on
the Internet of Things. The method comprises the following stepsof: collecting historical data and
monitoring data, introducing the collected historical data and
monitoring data respectively into a training
data input interface and a
monitoring data input interface, introducing various data into a data preprocessing module for pretreatment, analyzing the
equipment state model, running a state
library, performing regression prediction, providing early warning and issuing early warning information. The invention further comprises a layered
system framework, the
system framework comprises an
application layer, a
network layer, an entity layer and a sensing layer, and the
application layer comprises a
transformer substation
direct current system and a full-life-cycle online monitoring and diagnosis system. According to the invention, the system state can be comprehensively judged through historical
data analysis, the judgment can be more precise, and full-cycle management is carried out on the
transformer substation
direct current system, the equipmentoperation condition and
processing method are comprehensively mastered, an online monitoring and diagnosis platform for the
full life cycle of the transformer substation
direct current system is established, and the working efficiency is improved.