数据与计算发展前沿2026，Vol.8Issue(2)：40-53,14.DOI:10.11871/jfdc.issn.2096-742X.2026.02.004
基于多智能体协同的高寒山区道路结冰数据工程预警
Multi-Agent Collaborative Data-Engineering-Based Early Warning for Road Icing in High-Altitude Cold Mountainous Regions
摘要
Abstract
[Objective]This study focuses on the limitations of traditional road icing warning methods in high-altitude mountainous environments,including poor adaptability,low coordination efficiency,and difficulties in practical implementation.It aims to explore and validate a new warning approach that integrates multi-agent collaboration with data engineering,with the goal of improving the accuracy,timeliness,and deployability of road icing warn-ings in such regions and providing a practical solution for engineering applications.[Methods]A new data engi-neering paradigm is established through the integration of large-scale artificial intelligence models,leveraging their advanced capabilities in semantic understanding,multimodal fusion,and adaptive reasoning to reconstruct the data engineering value chain.A standardized and automated"data-method-analysis-decision"intelligent pipe-line is developed to enable end-to-end collaboration,encompassing data selection,engineering analysis,and deci-sion support.This approach transforms data analysis from a one-off task into a continuously scalable and reusable engineering process.[Conclusions]This study proposes a fusion approach combining intelligent agents with data engineering and applies it to a road icing warning simulation on the G217 Duku Highway.By continuously ana-lyzing video data from cameras and integrating multi-source heterogeneous data from along the route,this ap-proach improves the accuracy and timeliness of road icing warnings while enhancing data reusability.The results indicate that the method is feasible for practical implementation in high-altitude,complex environments.It pro-vides an efficient and reliable solution for road icing disaster warning and effectively promotes the transformation of data from a"resource"into a valuable"asset."关键词
数据工程/道路结冰预警/智能体/人工智能/独库公路Key words
data engineering/road icing warning/intelligent agents/AI/Duku Highway引用本文复制引用
刘景琦,张耀南,康建芳,刘杰,杨治纬,张智星,王保得..基于多智能体协同的高寒山区道路结冰数据工程预警[J].数据与计算发展前沿,2026,8(2):40-53,14.基金项目
国家重点研发计划(2022YFF0711704) （2022YFF0711704）
2022年度新疆交通运输行业科技项目(2022-ZD-006) （2022-ZD-006）
新疆交投2021年揭榜挂帅科技项目(ZKXFWCG2022060004) （ZKXFWCG2022060004）
新疆交通设计院公司科研基金(KY2022041101) （KY2022041101）
新疆维吾尔自治区科技支疆项目(2024E02030) （2024E02030）
