Machine as a smart service: a hybrid knowledge graph approach

The advancement of Information and Communication Technology has catalyzed the emergence of a new generation of manufacturing paradigms demanding increasingly “smart” equipment. Despite this, existing equipment system exhibits limitations in terms of flexibility, user interaction, and cost-effectiveness. To address these challenges and foster personalization, smartness, and a service-oriented approach, this article proposed an innovative smart equipment service system implementation of “Machine as a smart service” (MaaS). We argue that shifting the past concentration from the equipment itself to the service provided would fitting for the current advanced manufacturing paradigms more properly, and based on this proposed a hybrid Knowledge Graph (KG) approach to abstract equipment as smart services. Our MaaS is running on a cluster consisting of an arbitrary quantity of equipment and makes H2M/M2H/M2M communication through service-oriented interaction. The process and related resources would be mapped into a twin space organized with KG, which translates the MaaS physical running into KG interaction. We also introduced three enabling technologies to achieve this: Hierarchical Knowledge Graph, Event Control Framework, and resource mapping methods, and illustrate them with cases.