Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domai
- PDF / 5,105,141 Bytes
- 17 Pages / 595.276 x 790.866 pts Page_size
- 15 Downloads / 200 Views
Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies Pulin Li1 · Kai Cheng2 · Pingyu Jiang1
· Kanet Katchasuwanmanee2
Received: 14 November 2019 / Accepted: 13 August 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The machining processes on the advanced machining workshop floor are becoming more sophisticated with the interdependent intrinsic processes, generation of ever-increasing in-process data and machining domain knowledge. To manage and utilize those above effectively, an industrial dataspace for machining workshop (IDMW) is presented with a three-layer framework. The IDMW architecture is Schema Centralized–Data Distributed, which relies on Process-Workpiece-Centric knowledge schema description and data storage in decentralized data silos. Subsequently, the pre-processing method for the data silos driven by RFID event graphical deduction model is elaborated to associate decentralized data with knowledge schema. Furthermore, through two industrial case studies, it is found that IDMW is effective in managing heterogeneous data, interconnecting the resource entities, handling domain knowledge, and thereby enabling machining operations control on the machining workshop floor particularly. Keywords Industrial dataspace · Machining knowledge · Machining operations control · Knowledge representation · Knowledge graph
List of symbols
t Ps
AB ct_abc ft_abc mm_abc mstq_abc mps_abc mt_abc mts_abc mp_abc qf_abc rXX sXX
t Psi
B
A has an association with B URI of cutting tool abc URI of feature abc URI of machining methods abc URI of quality measure tool abc URI of machining process status abc URI of machining tool abc URI of measure tool/sensor abc URI of machining process abc URI of quality feature abc The XXth response to sXX The XXth operation sequence
t Pei sp
tP
ep
tP
t Pso t Peo t Pe p TP−1
Pingyu Jiang [email protected]
1
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China
2
College of Engineering, Design and Physical Science, Brunel University London, Uxbridge UB8 3PH, UK
TPx wk_abc wp_abc
Arriving timeline from the last process to the current process p Starting timeline of loading workpiece to machine tool table in process p Ending timeline of loading workpiece in machine tool table in process p Starting timeline of processing the workpiece in process p Ending timeline to processing workpiece in process p Starting Timeline of putting workpiece off machine tool table in process p Ending timeline of putting workpiece off machine tool table in process p Leaving timeline from the current process p Transportation time from process p − 1 to process p Processing time of x in process p URI of worker abc URI of workpiece abc
123
Journal of Intelligent Manufacturing
Abbreviations APP CNC CPS ERP IDMW MEPN MES MOC NGIT OBDA OWL RFID SQL URI
Applications Computer numerical control Cyber-physica
Data Loading...
