Paper
30 November 2022 Development and application of discrete quality data resource management platform
Xinghe Qu, Pengyong Cao, Junyan Zhou, Guijiang Duan
Author Affiliations +
Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124562P (2022) https://doi.org/10.1117/12.2659317
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China
Abstract
Aiming at the reasonable planning and effective utilization of massive multi-source heterogeneous quality data resources generated in the process of small-batch manufacturing, this paper proposes a quality data resource management platform with agility and dynamic integration. With the goal of business generalization and reuse, the typical quality business resources are summarized to form each data business service module of the platform. We propose a whole-process management scheme for general document management, data cleaning, and data analysis in quality data resource management. And based on the idea of componentization, separation and condensation are carried out. Relying on the enterprise's platform application practice, this paper verifies the feasibility and practicability of the proposed quality data resource management platform design through application examples.
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Xinghe Qu, Pengyong Cao, Junyan Zhou, and Guijiang Duan "Development and application of discrete quality data resource management platform", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124562P (30 November 2022); https://doi.org/10.1117/12.2659317
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KEYWORDS
Data modeling

Data storage

Data analysis

Manufacturing

Document management

Data centers

Data processing

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