A Case Study of Process Engineering of Operations In Working Sites Through Data Mining and Augmented Reality

A. Massaro, A. Galiano, Antonio Mustich, Daniele Convertini, Vincenzo Maritati, A. Colonna, Nicola Savino, A. Pace, L. Iaquinta
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引用次数: 5

Abstract

In this paper is analyzed the design of a software platform concerning a case study of process engineering involving the simultaneous adoption of data digitation, Data Mining –DM- processing, and Augmented Reality -AR-. Specifically is discussed the platform design able to upgrade the Knowledge Base –KB-enabling production process optimizations in working sites. The KB is gained by following ‘Frascati’ research guidelines addressing the possible ways to achieve the Knowledge Gain –KG-. The technologies such as AR and data entry mobile app are tailored in order to apply innovative data mining algorithms. In the first part of the paper is commented the preliminary project specifications, besides, in the second part, are shown the use cases, the unified modeling language –UML- models, and the mobile app mockups enabling KG. The proposed work discusses preliminary results of an industry project.
基于数据挖掘和增强现实的作业现场过程工程案例研究
本文以过程工程为例,分析了同时采用数据数字化、数据挖掘- dm -处理和增强现实- ar -的软件平台的设计。具体讨论了能够升级知识库- kb的平台设计,实现了现场生产过程的优化。知识库是通过遵循“Frascati”研究指南来获得的,该指南解决了实现知识获取- kg -的可能方法。AR和数据输入移动应用程序等技术是为了应用创新的数据挖掘算法而量身定制的。在论文的第一部分中,对项目的初步规范进行了评论,此外,在第二部分中,展示了用例、统一建模语言uml模型和支持KG的移动应用程序模型。提议的工作讨论了一个工业项目的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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