According to the intelligent
elevator shared card swiping charging
system and method, data are collected through a multi-mode sensor, after edge calculation preprocessing, cross-regional dynamic pricing is achieved through federal learning, and a personalized
package is recommended in combination with
reinforcement learning; abnormal behaviors are detected by adopting a space-time attention mechanism, and privacy security is guaranteed through zero-knowledge proof; equipment
predictive maintenance is realized based on a digital twinning and LSTM model, and automatic account division and carbon integral excitation are completed by a block chain intelligent contract. According to the
system, the
elevator resource utilization rate is effectively improved by more than 30%, the
anomaly detection accuracy rate reaches 98%, the equipment
failure rate is reduced by 55%, the
energy consumption is reduced by 20%, meanwhile, multi-party income distribution
automation is achieved, an efficient, safe and low-carbon solution is provided for
elevator sharing management, and the
system is suitable for being applied to multiple scenes such as commercial buildings and residential districts.