A Digital Management System for Equipment Inventory Maintenance

To overcome the persistent limitations inherent in conventional paper-based equipment maintenance systems and fragmented data management practices, a Digital Equipment Inventory Maintenance System is proposed. Centralized data governance is achieved through a meta-model-driven architecture that enforces standardized data acquisition protocols and automated validation procedures. Then this system establishes an integrated framework for comprehensive data lifecycle management, incorporating automated Extract-Transform-Load (ETL) pipelines with schema-mapping mechanisms to harmonize multi-source data streams. Cross-platform interoperability is enabled via WebGL-based digital-twin rendering, which facilitates interactive three-dimensional visualization of equipment inventories. A three-layer modular design - comprising Data Acquisition, Processing & Analytics, and Situational Awareness Dashboard - addresses the critical gap between industrial maintenance requirements and Industry 4.0 standards. Validation through industrial pilot cases demonstrates significant improvements in decision-making efficiency and error mitigation.