Multi-Agent-based Multi-source Information Fusion Processing Method for Pressure Equipment Operation and Maintenance

This study addresses the challenges of real-time performance and processing efficiency in the acquisition of multi-source heterogeneous data for pressure equipment operation. The existing methods struggle to support the real-time intelligent control of the operation and maintenance processes of pressure equipment. To overcome these limitations, we propose a novel Multi-Agent-based approach for the acquisition and fusion processing of multi-source heterogeneous information. This method ensures a unified characterization of data during the operation of pressure equipment, providing reliable, timely, and accurate data support for intelligent control. The goal is to enhance the efficiency and safety of pressure equipment operation and maintenance.