Dynamic and unified modelling of sustainable manufacturing capability for industrial robots in cloud manufacturing

Research output: Contribution to journalArticlepeer-review

Authors

  • Yuanyuan Zhao
  • Quan Liu
  • Wenjun Xu
  • Xingxing Wu
  • Xuemei Jiang
  • Zude Zhou

Colleges, School and Institutes

External organisations

  • Wuhan University of Technology
  • Department of Mechanical Engineering

Abstract

Industrial robots (IRs) are the important driving force to enable the production activities more automotive and highly efficient in modern manufacturing systems. However, in order to realize the effective employment and intelligent configuration of IRs in cloud manufacturing environment, it is required that the sustainable manufacturing capabilities of IRs can be described in a unified and formal manner. In this paper, a unified sustainable manufacturing capability (SMC) of the IR model is constructed in terms of functional attributes, structural information, activities and process condition. A hybrid logic description method integrating Ontology Web Language with dynamic description logic (DLL) is adopted to provide a semantical representation to both the static and dynamic characteristics of SMC. An interval-state description method is proposed to present energy consumption during the IR’s process in sections. Based on the constructed model, three types of rules are defined to reason the capability of IRs, including stability, energy consumption and production capacity. Finally, a cloud-based prototype system architecture is illustrated. An IR service platform is developed and implemented to verify the proposed model and the defined rules.

Details

Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalThe International Journal of Advanced Manufacturing Technology
Early online date7 Jul 2017
Publication statusE-pub ahead of print - 7 Jul 2017

Keywords

  • Dynamic and unified modelling, Dynamic description logic, Industrial robots, Ontology, Sustainable manufacturing capability