Data Amalgamation in an AI for Manufacturing System

制造系统人工智能中的数据合并

• 批准号: 561399-2020
• 负责人: Blum, Susan
• 金额: $ 1.82万
• 依托单位: Saskatchewan Polytechnic
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=724140
• 关键词: Data; Amalgamation; AI; Manufacturing; System

In partnership with Solid State AI (SSAI), Saskatchewan Polytechnic (SP) is developing a sub system for SSAI's Artificial Intelligence (AI) for Manufacturing Systems (AIMS) platform. Specifically, the proposed applied research will start developing a system capable of performing data aggregation and migration across multiple corporate databases while maintaining or introducing relationships between the data points. This will allow for SSAI's clients to take more control over their data aggregation strategies and aid in the application of AI and machine learning (ML) algorithms in the AIMS platform to improve and optimize business and manufacturing processes.

萨斯喀彻温省理工学院（SP）与固态人工智能（SSAI）合作，正在为SSAI的人工智能（AI）制造系统（AIMS）平台开发一个子系统。具体而言，拟议的应用研究将开始开发一个系统，该系统能够在多个企业数据库之间执行数据聚合和迁移，同时维护或引入数据点之间的关系。这将使SSAI的客户能够更好地控制其数据聚合策略，并有助于在AIMS平台中应用AI和机器学习（ML）算法，以改善和优化业务和制造流程。