This invention discloses a
CRTSⅡ type slab track
full life cycle performance evolution and
remaining life prediction system, belonging to the field of intelligent operation and maintenance technology for
rail transit infrastructure. The
system consists of a five-layer architecture: a multi-source
perception layer, an
edge computing layer, a performance evolution model layer, a
hybrid life prediction engine, and an
intelligent decision-making layer. It pioneers a four-field coupled performance evolution model of temperature,
humidity, dynamic load, and foundation settlement, and constructs a
hybrid life prediction engine of LSTM-grey prediction-Weibull distribution to achieve quantitative description of the
full life cycle performance degradation of the track slab, CA
mortar layer, base plate, and interlayer interfaces, as well as accurate prediction of
remaining life. The
system can automatically output maintenance level, maintenance timing, and special plans, completing the
upgrade from post-maintenance to
predictive maintenance. The invention has a relative error of ≤8.3% in
remaining life prediction, ≤5.6% in performance evolution prediction, and ≤1.2s in early warning response. It is suitable for all scenarios including roadbeds, bridges, tunnels, high-altitude and high-temperature and high-
humidity environments. It can improve operation and maintenance efficiency by more than 60% and reduce the total life cycle maintenance cost by 35%. It is applicable to intelligent operation and maintenance and
safety assurance of
CRTSⅡ type slab track for high-speed railways.