The invention relates to the technical field of power operation and
maintenance management, and particularly discloses a power operation and maintenance
big data-based monitoring method and
system, and the
system comprises a data collection and transmission module, a data storage and
processing module, a remote monitoring and alarm module, a
data analysis and prediction module, and an optimization decision and maintenance module. A
power grid acquisition device is arranged on an
electric power operation and maintenance site, operation parameters, state parameters and environmental parameters of
electric equipment are acquired in real time, data are efficiently and stably transmitted to a
server for storage and
processing by utilizing
data transmission equipment and a
bus technology, comprehensiveness and real-time performance of the data are ensured, and a fault
prediction probability formula is calculated to obtain a fault prediction result. Historical fault rates and regional importance scores are comprehensively considered, potential fault regions are recognized in advance, preventive measures are taken in time, an
energy consumption efficiency index formula is utilized, the
energy consumption level of
electric equipment is quantitatively evaluated, high-energy-consumption equipment is recognized,
energy conservation improvement is guided, and
energy conservation and consumption reduction are assisted.