Abstract
The continuous fast-changing of production requirements and the development of advanced information technology have promoted the development of the production system in a more knowledge-intensive, resources-decentralized, and autonomous collaborative manner. In order to provide guidelines for the smart transformation of the production shop floor, this paper proposes a smart production system with a three-layer framework defined as the social production system (Social-PS) by integrating cyber-physical system (CPS), knowledge graph technology, and production-event driven model. The concept of smart resources (include smart operator, smart machine, smart workpiece, and smart gateway), social sensor, the unified information model is clarified to construct the physical carrier of Social-PS. The unified knowledge repository’s overall construction method based on the knowledge graph is elaborated to provide task-resource-associated heterogeneous production data sharing and management for human-machine collaboration. Subsequently, to support the production dynamic monitoring and interaction, a production-event and active knowledge indexing model is proposed. Furthermore, to validate the proposed Social-PS framework, a software and hardware integrated prototype system is implemented to demonstrate the knowledge-driven human-machine collaboration of the production process, which provides a basis for realizing smart and autonomous production collaboration.
Highlights
With the explosion of personalized user demand and the continuous integration of the new information technologies (e.g., internet of things (IoT), artificial intelligence (AI), cyber-physical systems (CPS), big data analysis (BDA), edge computing, etc.) and the manufacturing technologies, the production model has gone through the development stage from mass production to mass customization and mass personalization
Multi-source heterogeneous data in the manufacturing production process can be effectively identified, acquired, processed, and integrated for supporting the human-machine production interaction. This framework can realize the production shop floor’s autonomous collaboration based on the production-event and active knowledge indexing model centered on the production process flow
This paper proposes a method for constructing smart-resources based on CPS and multi-sensor technologies
Summary
With the explosion of personalized user demand and the continuous integration of the new information technologies (e.g., internet of things (IoT), artificial intelligence (AI), cyber-physical systems (CPS), big data analysis (BDA), edge computing, etc.) and the manufacturing technologies, the production model has gone through the development stage from mass production to mass customization and mass personalization. A distributed manner according to the needs to adapt to the dynamic production environment and application scenarios, and improve production efficiency or product quality This makes the human-machine interaction within the manufacturing enterprise more extensive and in-depth, and it will generate a large amount of interactive data and knowledge. Multi-source heterogeneous data in the manufacturing production process can be effectively identified, acquired, processed, and integrated for supporting the human-machine production interaction This framework can realize the production shop floor’s autonomous collaboration based on the production-event and active knowledge indexing model centered on the production process flow.
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