Research and Implementation of a Dynamic Scheduling Decision System for Ship Sub-assembly Based on Cyber-Physical Integration

LI Ruibo; HU Xiaofeng; MEI Yaohui; WANG Lin; ZHANG Yahui; WU Chuanxun; LIU Jinfeng

doi:10.3969/j.issn.1007-7375.240383

Abstract：The manufacturing process of sub-assemblies is complex and susceptible to various anomalies,making production scheduling difficult.At the same time,manufacturing systems generate multi-source heterogeneous data,hindering information systems from acquiring real-time comprehensive information and consequently impairing scheduling plan formulation.Cyber-physical integration can achieve data interaction between the physical domain and the cyber domain,but existing research remains inapplicable to shipbuilding and has not resolved unified data semantics.Additionally,ontology-based production scheduling research faces limitations.To address this challenge,this paper focuses on ship sub-assembly process and proposes a semantic integration and dynamic scheduling decision architecture based on ontology.Firstly,a method is proposed to construct a workshop scheduling ontology model,a data model,and a rule model,for establishing a unified data semantic system,and ensuring the rapid integration of multi-source and heterogeneous data in the information domain.Secondly,a real-time data integration platform based on Flink CDC technology is established to ensure timely acquisition of assembly process data in the physical domain.Subsequently,an assembly process control system of ship sub-assembly is developed,which includes production monitoring,disturbance detection,and dynamic scheduling functions.Through real-time interaction of data in the cyber and physical domains,the manufacturing process of the ship sub-assembly is dynamically controlled.The effectiveness of the proposed system is verified by comparative analysis before and after implementation.