(Light Off Factory Assistant)
Based on multimodal information collection including images, video, and voice, combined with AI agents and reasoning large models, PMS automatically understands inspection and fault scenarios, matches maintenance and repair solutions from the equipment knowledge base, and generates actionable operational guidelines to achieve an intelligent and process-driven closed loop for equipment inspection, diagnosis, and maintenance.
• Delivering scenario-specific tools, such as LOFA and PMS tailored for industrial scenarios including lights-off factories, equipment maintenance, and yield management. • Combining with the Big Data Platform (BDP) to perform deep analysis of production data, elevating equipment O&M efficiency and product yield.
• Knowledge Management: Accumulating and reusing smart manufacturing business knowledge through document parsing, knowledge graph construction, and knowledge base O&M. • Model Management: Supporting model training, deployment, monitoring, and fine-tuning to ensure continuous iteration and stable operation of AI models.
• Integrating multi-source data including historical, master, planning, and business data, combined with multimodal and reasoning large models to achieve intelligent understanding and reasoning in complex scenarios. • Built on open-source large model foundations, supporting flexible model training and expansion.
• Achieving precise issue localization through multimodal technologies, and quickly matching solutions by combining intent recognition with solution retrieval. • Covering a complete closed loop from issue discovery, diagnosis, and solution pushing to feedback optimization, supporting intelligent diagnosis and decision assistance for customer business issues.
• Providing platform security management functions such as permission, account, key, and log management to ensure stable platform operation and data security. • Enabling platform operations to be traceable and manageable through features such as issue tracking.
