The AI + large-model wireless network O&M intelligent agent focuses on three core areas: intelligent Q&A, data query, and intelligent analysis and decision-making. It incorporates five innovative features, including a customized smart tutor based on a knowledge graph and a smart O&M expert leveraging large and small model collaboration. All achievements have been deployed in Beijing with remarkable results, and several core capabilities have been widely adopted across 31 provinces in China.
The key pain points in wireless network O&M can be summarized as follows:
Cross-domain knowledge accessibility: Frontline optimization personnel and new employees struggle to access interdisciplinary expertise efficiently.
Time-consuming data queries: Wireless network data is scattered across platforms like Network Optimization Home, requiring manual queries and consolidation across multiple systems. On average, each query takes about 2 hours.
Expert-dependent problem analysis: Troubleshooting wireless network issues is challenging due to varying skill levels among staff, leading to low diagnostic accuracy. Reliance on expert experience delays real-time problem resolution.