江苏丰县“空天地一体化”织密自然资源智能监管网

Core Viewpoint - Jiangsu Province's Fengxian County has successfully upgraded its natural resource intelligent supervision system, marking a transition to proactive prevention and intelligent early warning in resource management [1] Group 1: System Development and Features - The intelligent supervision system covers an area of 1450.34 square kilometers, utilizing "drone+" technology to create an integrated aerial and terrestrial monitoring network [1] - The system's development has progressed through three stages: initial exploration, system upgrade, and technological breakthrough, with significant milestones achieved from 2016 to 2022 [1] - The core achievement of the upgrade is the establishment of a "1+5+N" technical architecture, integrating a comprehensive supervision platform with five major technical modules and multiple business applications [2] Group 2: Technical Innovations - The system features automated drone patrols, with drones flying over key areas every 1 to 3 days and ordinary areas every 7 to 10 days without human intervention [3] - It employs advanced technologies for automatic data collection, processing, and analysis, including high-precision imaging and AI recognition of illegal activities [3] - The "ten automations" mechanism enhances efficiency across the entire process from detection to resolution, significantly improving operational effectiveness [3] Group 3: Data Integration and Institutional Innovation - The system integrates multi-source data from land, planning, and forestry, establishing a three-tier data linkage mechanism for comprehensive monitoring [4] - Institutional innovations include the implementation of a joint responsibility mechanism for law enforcement and a linkage scheme for illegal land use rectification and land approval [4] - Since the system's operation, it has conducted 1,098 drone missions and issued 1,844 warnings, demonstrating significant improvements in monitoring capabilities [4] Group 4: Future Developments - Future plans include the introduction of 3D modeling technology to enhance AI recognition accuracy and extend drone applications across the entire natural resource management chain [4]