A Structured Data Resource Integration Approach Leveraging Data Graph for Subway Station Equipment Deployment and Maintenance

The judicious utilization and timely maintenance of subway station equipment are paramount for ensuring high-quality service to passengers and maintaining daily operations. Traditional method causes superfluous employment of equipment during off-peak hours, engendering augmented potential energy consumption and escalating maintenance expenditures. Ergo, an intelligent collaborative strategy for equipment deployment and maintenance is necessary. The conundrum lies in discerning the intrinsic synergies amongst equipment in their deployment and maintenance spheres. To this end, this study provided a Data Resource Integration approach predicated upon Data Graph (DG). Employing a changed 5W2H analytical framework, we retraced the impact of operational objectives to unearth these intrinsic connections. We also employed the time division optimization scheme of Automatic Gate Machine (AGM) as a case, which wants to satisfy changing subway ticket checking demands with passenger flow, and modeled its operation strategy, retroactively retraced its objectives via the 5W2H framework, and architected a DG-based integration model. The case model was stored in the Neoj4 graph database. The feasibility of the proposed method is substantiated, harnessing Structured Data Resource Integration as a conduit to refine and guide real-world operations.