Based on 5G technology, it achieves high-frequency collection (below 20ms) and consolidation of basic data required for equipment monitoring, health management, status assessment, and fault diagnosis. Using Industrial Internet of Things (IIoT) technology, it builds a visual modeling platform for predicting and diagnosing equipment faults related to major hazardous sources in chemical enterprises. This platform incorporates the diagnostic experience and knowledge of chemical industry experts and equipment maintenance specialists, forming an equipment diagnostic model library. Additionally, artificial intelligence (AI) models predict feature parameters and equipment degradation trends, enabling early anticipation of equipment failures.

By combining 5G with AR glasses and intelligent safety helmets, and leveraging the coverage of the entire plant's 5G network, it solves the issues of network latency and communication during remote equipment operation and maintenance guidance. It provides an efficient interactive platform for experts and on-site maintenance personnel to achieve remote operation and maintenance guidance, document annotations, and SOP (Standard Operating Procedure) instructions. Through on-site testing, the average time savings for 5G+AR intelligent inspections is 10 minutes per item, resulting in a 30% increase in inspection efficiency and approximately 20% cost savings on experts.