KGAssembly: Knowledge graph-driven assembly process generation and evaluation for complex components

Abstract

The semantic information of process documents for the assembly of complex components plays an important role in the guidance of assembly operations and the feasibility evaluation of process plans. There are many types of semantic elements contained in assembly process documents. The semantic relationship between assembly elements is complex. Additionally, there is a lack of effective modeling method to deal with the implicit associative semantic knowledge that exists among existing assembly process cases. In this case, it is a great challenge to use the professional knowledge in assembly process documents to guide the intelligent decision-making of assembly process planning and the intelligent analysis of assembly process enforceability evaluation. In this paper, a knowledge graph-driven assembly process generation and evaluation method for complex components is proposed. An APKG (assembly process knowledge graph) model is built. A distributed graph embedding-based model SKGCN (sequence knowledge graph convolutional network) is designed to generate assembly process planning. Furthermore, model and knowledge dual-driven evaluation method for assembly sequences is presented. It provides assembly expert knowledge support for the evaluation method of interference detection of assembly sequence based on point cloud assembly feature recognition. Finally, the approach is evaluated by assembling an aeroengine compressor rotor.

A TL_FLAT Model for Chinese Text Datasets of UAV Power Systems: Optimization and Performance

“…Iacovelli et al [46][47][48] applied intelligent refective surfaces, swarm intelligence, and other strategies to the feld of UAV Internet to maximize the reliability and efectiveness of UAV communication. Zhou et al [49] proposed a distributed graph embeddingbased sequence knowledge graph convolutional network model (SKGCN, "sequence knowledge graph convolutional network") for assembly process planning, taking the aeroengine pressurizer rotor as the research object.…”

A digital twin-driven human–robot collaborative assembly-commissioning method for complex products

“…According to the actual situation, the assembly-commissioning sequence is a dynamic and variable process in complex products assembly-commissioning. This paper constructs a knowledge graph of the tasks of assembly-commissioning [27][28], which is used to realize the fast retrieval of the implement sequence of the robot unit, as shown in Fig. 4.…”

i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry

“…Concerning the general application of knowledge graphs in the manufacturing industry, there are many recent and diversified works on the subject such as for the management of CAD design rules (Huet, et al, 2021), additive manufacturing (Ko, et al, 2021), resource allocation (Zhou, et al, 2021)…”

“…and the planning of assembly(Zhou, et al, 2021), or more generally the profiling of employees(Munir, et al, 2020) or the proposal of knowledge graphs around industry 4.0(Bader, et al, 2020). Moreover,(Buchgeher, et al, 2021) reveals that the technical literature on the subject is growing fast.…”