南昌工程学院学报2025，Vol.44Issue(1)：37-47,11.
基于AI驱动的边坡地质灾害智能识别与巡检养护研究进展
Research progress on AI driven intelligent recognition,inspection and maintenance of slope geological hazards
摘要
Abstract
Slope geohazards have become a severe threat to human society due to their considerable destructive capacity,ne-cessitating the development of effective monitoring and prevention strategies,utilizing advanced technological solutions.This paper reviews the latest research progress in the field of intelligent recognition and inspection and maintenance of slope geo-hazards with artificial intelligence(AI)technology,systematically examines the inefficiency and safety hazards of traditional manual inspection methods,and reviews the development of new monitoring technologies.These include the use of drones,remote sensing,and deep learning technologies to enhance the accuracy and efficiency of slope monitoring.This paper also summarizes future research directions,including technological convergence,automation,improvement of real-time monitoring and early warning capabilities,and data-driven decision support.The analysis further discusses the challenges encountered during the technological advancement,including data quality,algorithm overfitting and computational resources,and high-lights the importance of establishing a slope geohazard database and classification standards to achieve rapid identification of and response to slope geohazards and to reduce the risk of economic losses and human casualties.The research in this paper provides a reference for building a more complete and efficient geological hazard prevention and control system.关键词
AI驱动/公路边坡/地质灾害/智能识别/巡检养护Key words
AI driven/highway slope/geological hazards/intelligent recognition/inspection and maintenance分类
土木建筑引用本文复制引用
胡盛明,汪舟,卢永飞,马贵平,毛志斌,王清华..基于AI驱动的边坡地质灾害智能识别与巡检养护研究进展[J].南昌工程学院学报,2025,44(1):37-47,11.基金项目
国家自然科学基金资助项目(42162023,42162025) （42162023,42162025）
江西省教育厅科学技术研究项目(GJJ201904) （GJJ201904）
江西省水利科技项目(202124ZDKT15,202223YBKT03) （202124ZDKT15,202223YBKT03）
江西省科技厅重点研发计划项目(20203BBGL73220) （20203BBGL73220）
江西省高等学校教学改革研究省级课题(JXJG-23-18-23) （JXJG-23-18-23）
