Asset Management of Digital Learning Factory Driven by 5G Based on Industrial Internet Identification and Resolution Technology

Abstract

The rise and implementation of digital manufacturing have led to the widespread use of the industrial internet in workshop equipment management and manufacturing resource tracking. To manage the entire life cycle of products or equipment, it is essential to assign a unique identifier to each item, component, and piece of information. However, the increasing number of equipment and the decentralization of manufacturing workshops make it challenging to record the entire life cycle of products or equipment effectively. The industrial internet identification and resolution system is a crucial hub for the sharing and utilization of multi-source data. The fifth generation (5G) of mobile communication technology, with its inherent characteristics, catalyzes the efficient management of voluminous data. Consequently, a 5G-driven method based on industrial internet identification and resolution technologies will be the optimal solution for digital asset management in the future. This article presents the architecture and implementation of the industrial internet identification and resolution system of a digital learning factory driven by 5G. This article also elaborates on the design of digital asset management training courses in the Advanced Manufacturing Technology Center (AMTC). This study seeks to advance the continuous improvement of digital module platforms within learning factories and foster the development of compound engineering talents through relevant theories and technologies in fully connected digital learning factories. The objective is to establish a benchmark that will stimulate further exploration in the direction of digital-intelligent, environmentally sustainable, and integrated industrial transformation and enhancement.