The invention discloses a smart park facility
predictive maintenance system based on a digital twinborn technology, and relates to the field of smart park facility maintenance. Comprising a
data acquisition module, a preprocessing module, a digital twin model construction module, a fault prediction module, a maintenance decision module, a maintenance
resource management module, a user interaction module, a
system management module, a spatio-temporal
data analysis and prediction module and a social-technical
system fusion module. The method comprises the following steps: collecting and fusing a risk-dependent
frequency modulation rate of
quantum sensing, improving speed and precision by means of
quantum calculation, fusing a digital twin model into a meta-
universe concept and an
intelligent agent, predicting a fault by combining
quantum machine learning and
causal inference, optimizing a maintenance decision based on a game theory and
reinforcement learning, and managing resources by using a block chain-
Internet of Things fusion technology. The invention discloses a brain-computer interface and holographic projection interaction and quantum
encryption dual-protection
management system. The system is accurate in
data acquisition, vivid in model construction, accurate in fault prediction, scientific in maintenance decision, efficient in
resource management, immersive in interactive experience and safe and stable in system, and ensures stable operation of park facilities.