Design of Distributed Simulation Operation and Maintenance Management System Based on Artificial Intelligence

Operation and maintenance system is an important platform to support the deployment, operation and evaluation of distributed simulation system. The operation monitoring tool is to manage the simulation node, control the operation process, feedback the operation results, and evaluate the operation effect. Then this paper mainly describes the composition of the operation management system. Through the research of distributed simulation test, a distributed simulation test management platform based on virtual instrument is proposed. The corresponding design ideas are given based on its functional requirements. The architecture, module composition and overall working process of the system are described. The working mechanism, design and implementation of node management, auxiliary analysis, instruction management and condition monitoring are analyzed. Multi-dimensional multi-source heterogeneous fault data are used as training samples to achieve automatic detection of equipment operating conditions. Reinforcement learning theory is applied to equipment fault diagnosis to achieve automatic judgment of test data, so as to establish the active early warning mechanism of equipment.