The application is suitable for the technical field of safety hidden danger monitoring, and particularly relates to a power safety hidden danger real-time monitoring method and
system based on
the Internet of Things, which comprises the following steps: identifying running equipment in a power
system, obtaining equipment numbers of the running equipment, configuring parameter indexes of the running equipment, delimiting fluctuation ranges of the parameter indexes, wherein the parameter indexes at least include rotation speed, temperature and
voltage, and calculating importance values of each parameter index; creating a number block corresponding to each parameter index; and driving the running equipment for point inspection through a preset
Internet of Things device by selecting a relationship
hash function. The application can drive the running equipment for point inspection by selecting a relationship
hash function, so as to timely identify
early signs of failure, prevent chain reactions, greatly improve the stability of the power
system, combine general inspection and point inspection by constructing a monitoring chain, greatly reduce the
safety risk of the power system, optimize
resource allocation, and further improve the monitoring efficiency of the power system.