Research on Predictive Maintenance Technology Based on Full Lifecycle Equipment Management

Amid the surging wave of informatization and the maturing digital technologies, traditional manufacturing industries face transformational challenges. This paper introduces a predictive maintenance methodology grounded in full lifecycle equipment management, advocating a paradigm shift from passive maintenance to proactive predictive prevention as a new productive paradigm for manufacturing. The proposed technology adopts a cloud-edge-device collaborative architecture, integrating two core themes: smart production and intelligent operations and maintenance, while requiring foundational data standardization infrastructure. This study demonstrates the technical feasibility of predictive maintenance for equipment and facilities. Using an anonymized marine equipment smart manufacturing base as a case study, it showcases the advanced application outcomes of this technology in intelligent manufacturing facilities.