A proposed mapping method for aligning machine execution data to numerical control code

Laetitia Monnier, William Z. Bemstein, Sebti Foufou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The visions of the digital thread and smart manufacturing have boosted the potential of relating downstream data to upstream decisions in design. However, to date, the tools and methods to robustly map across the related data representations is significantly lacking. In response, we propose a mapping technique for standard manufacturing data representations. Specifically, we focus on relating controller data from machining tools in the form of MTConnect, an emerging standard that defines the vocabulary and semantics as well as communications protocols for execution data, and G-Code, the most widely used standard for numerical control (NC) instructions. We evaluate the efficacy of our mapping methodology through an error measurement technique that judges the alignment quality between the two data representations. We then relate the proposed methodology to a case study, that includes verified process plans and real execution data, derived from the Smart Manufacturing Systems Test Bed hosted at the National Institute of Standards and Technology.

Original languageEnglish (US)
Title of host publication2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019
PublisherIEEE Computer Society
Pages66-72
Number of pages7
ISBN (Electronic)9781728103556
DOIs
StatePublished - Aug 2019
Event15th IEEE International Conference on Automation Science and Engineering, CASE 2019 - Vancouver, Canada
Duration: Aug 22 2019Aug 26 2019

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2019-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference15th IEEE International Conference on Automation Science and Engineering, CASE 2019
CountryCanada
CityVancouver
Period8/22/198/26/19

    Fingerprint

Keywords

  • Data Mapping
  • Design Decisions
  • MTConnect
  • Product Lifecycle Data
  • Smart Manufacturing
  • Standards

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Monnier, L., Bemstein, W. Z., & Foufou, S. (2019). A proposed mapping method for aligning machine execution data to numerical control code. In 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019 (pp. 66-72). [8842832] (IEEE International Conference on Automation Science and Engineering; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2019.8842832