Paper
16 June 2023 Design and implementation of multi-source heterogeneous data production management platform for textile machinery workshop
Yuanzhi Wang, Yiping Yuan, Panpan Fan, Guoqing Pei
Author Affiliations +
Proceedings Volume 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023); 126390R (2023) https://doi.org/10.1117/12.2682029
Event: Third International Conference on Mechanical Design and Simulation (MDS 2023), 2023, Xi'an, China
Abstract
Aiming at the integration, transmission and sharing of multi-source heterogeneous data in the production process of textile machinery manufacturing enterprises, and combining with the actual production of enterprises, an enterprise-oriented business process model is built, a workshop manufacturing process data management model is established, and the production data is preprocessed such as anomaly correction, time registration, timing data complement, etc., and the ontology-based heterogeneous data integration method is adopted, realized the data integration and sharing of intelligent production in textile machinery manufacturing workshop, and provided data support for digital twin platform and simulation optimization decision; the digital workshop data integration management system is designed and developed. Through the integration of SAP, SCADA and other system data, the production progress tracking, equipment operation monitoring and production-related data statistical analysis are realized, and three-dimensional visualization is carried out in combination with three-dimensional models to meet the data management requirements of the workshop.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuanzhi Wang, Yiping Yuan, Panpan Fan, and Guoqing Pei "Design and implementation of multi-source heterogeneous data production management platform for textile machinery workshop", Proc. SPIE 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023), 126390R (16 June 2023); https://doi.org/10.1117/12.2682029
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KEYWORDS
Data modeling

Data fusion

Data processing

Manufacturing

Data acquisition

Data communications

Sensors

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