西部机场集团AI战略下的银川实践 “数智大脑”激活空港新动能

Core Insights - The Western Airport Group is advancing its smart airport construction strategy centered around a 4A framework, integrating AI technologies to enhance operational efficiency and decision-making capabilities [1][2] - The implementation of the "AI + Special Action" initiative, particularly through the enterprise-level AI assistant "Xiao Xi," is a significant step towards the digital transformation of the Northwest airport cluster [1][3] Group 1: AI Integration and Operational Efficiency - The weak current center at Yinchuan Airport has developed a platform combining "AI Intelligent Body + Local RAG Knowledge Base," which addresses inefficiencies in data retrieval and knowledge management [1] - Traditional document management has been inadequate for the fast-paced aviation industry, prompting the adoption of a "RAG + Local Large Model" approach to ensure data security and timely access to critical information [1][2] Group 2: Technical Achievements and Benefits - The local knowledge base built by the weak current center utilizes RagFlow and integrates DeepSeek large models, achieving a localized "retrieve-infer-generate" process that aligns with the group's principles of proprietary data and value exclusivity [2] - The AI assistant can generate visual reports with risk assessments and recommendations in seconds, significantly improving the efficiency of flight guarantee operations [2] Group 3: Broader Implementation and Future Prospects - The pilot results from the weak current center are being expanded across all departments, introducing tools for rapid regulatory compliance checks and proactive risk management [3] - The platform is designed for future integration with live data on flight dynamics, passenger services, and energy consumption, aiming to enhance predictive decision-making capabilities within the smart civil aviation system [3]