Author: Zen and the Art of Computer Programming
With the rapid development of science and technology, artificial intelligence (AI) has become a hot topic of concern today. In recent years, with the rapid development of new materials, robots, drones and other new products, artificial intelligence technology has become more and more deeply embedded in people's lives. This makes the understanding and research of AI technology very important, especially in the manufacturing field. Currently, in the manufacturing field, artificial intelligence technology is mainly used in logistics management, production efficiency improvement, planning optimization, fault prediction and diagnosis, and retail model improvement. This article will explain some scenarios and key technologies for the application of artificial intelligence in the manufacturing field based on some actual cases.
2. Explanation of basic concepts and terms
In this section, we first introduce artificial intelligence terminology and related concepts in the manufacturing field. These terms or concepts can help readers better understand the following content of this article.
Data collection, storage, processing and analysis
Data collection: refers to the process of obtaining information from external data sources such as corporate databases, online order systems, etc., effectively integrating, cleaning, and filtering it, and then storing it in a designated data warehouse for unified management. Through data collection, different data sources can be fused, summarized, and summarized to form a comprehensive and complete management data platform. Data storage: refers to storing the collected data on the hard disk or network for subsequent analysis. Different hardware devices can choose different media for storage, such as disk, SSD, RAM, etc., and can be configured accordingly according to needs.