长沙联通：守护万家“烟火气” 织密安全防护网

Core Viewpoint - The article highlights the integration of 5G and AI technologies in Changsha's fire safety management, showcasing how these innovations enhance urban safety and operational efficiency in emergency response [1][3][5]. Group 1: Smart Perception and Monitoring - Changsha Unicom has developed an AI-driven fire monitoring system that replaces traditional manual inspections with real-time data analysis from over 4,300 key units, achieving a 20-fold increase in response efficiency [1][3]. - The system utilizes a low-latency 5G private network and edge computing to create a "millimeter-level" perception network, capable of scanning conditions at a rate of 500 times per second [1][3]. - AI algorithms can complete three-dimensional positioning and fire situation assessment within 0.3 seconds, with a false alarm exclusion accuracy rate of 97% [1][3]. Group 2: Predictive Fire Prevention - The AI system has been trained on PB-level fire data, enabling it to predict high-risk areas up to 72 hours in advance and identify 120 potential fire hazards in 2024 alone, with 89% detected before human inspections [3][5]. - The system's heat imaging AI can penetrate kitchen smoke to detect overheating equipment, demonstrating its effectiveness in preventing potential fire incidents [3][5]. Group 3: Closed-loop Management and Operational Efficiency - Changsha Unicom has established a closed-loop management system that integrates pre-warning, in-situ response, and post-analysis, supported by a 24/7 AI operations center [5]. - The AI intervention has led to a 63% reduction in fire incidents and a fourfold increase in hazard rectification efficiency across 83 monitored social units [5]. - The introduction of large model technology aims to enhance the system's capabilities for autonomous decision-making and intelligent resource allocation during emergencies [5].