自然资源部第一地理信息制图院探索创新人工智能技术在生态保护监管中的应用——秦岭生态保护有了AI助手

Core Insights - The Qinling Mountains, recognized as China's "central water tower" and an important ecological barrier, are undergoing a significant "smart upgrade" in ecological protection efforts through advanced technologies [1] Group 1: Technological Integration - The Ministry of Natural Resources' First Geographic Information Mapping Institute has developed an integrated monitoring model called "Sky, Ground, and Network" to enhance ecological protection in the Qinling region [1] - The introduction of AI technologies, particularly the DeepSeek model, marks a new phase of intelligent upgrades in ecological protection, optimizing platform functions and creating a smart regulatory model [1] Group 2: Remote Sensing and Monitoring - A deep learning-based automated change detection system has been implemented to identify illegal construction and disordered mining activities in the Qinling area, significantly improving monitoring efficiency [3] - The automated detection system combines multi-temporal image comparison and transfer learning algorithms, allowing for the automatic identification and precise localization of suspicious activities [3] Group 3: Drone Surveillance - A self-developed drone management system enhances inspection efficiency by collecting high-definition video and image data, which is processed through AI visual models for real-time identification of specific ecological issues [5] - The system has integrated over 7,600 video monitoring resources from various industry departments, improving identification accuracy from 45% to over 75% and increasing the daily detection of suspicious activities by 35% [5] Group 4: Legal and Regulatory Support - An intelligent legal knowledge retrieval system has been developed to assist enforcement personnel in quickly accessing relevant ecological regulations, significantly improving the efficiency of legal consultations [8] - This system utilizes deep learning and large language models to provide accurate legal interpretations and recommendations, enhancing decision-making for ecological protection [8] Group 5: Future Directions - The institute plans to further apply large model technologies in ecological protection, focusing on building a knowledge graph for ecological protection in the Qinling region and exploring new methods for intelligent problem analysis [9]