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作 者:许浩鹏 XU Hao-peng(Dacheng Engineering Construction Group Co.,Ltd.)
机构地区:[1]大成工程建设集团有限公司
出 处:《智能建筑与智慧城市》2024年第12期170-172,共3页Intelligent Building & Smart City
摘 要:针对高速公路养护管理面临的诸多问题,提出了基于大数据和人工智能的高速公路养护智能辅助决策系统的构建方法。通过收集高速公路的基础数据、历史数据和实时数据,进行数据挖掘和分析,构建大数据基础平台;并在此基础上,设计养护智能化分析模型,构建养护智能化分析决策系统。该系统利用大数据和人工智能技术,实现了对高速公路实时监测数据、历史病害数据、气候与环境等多种类型数据的深度挖掘和分析,根据不同类型的分析结果为养护人员提供决策支持。最后通过试验路段验证了该系统的可行性。In response to the many problems faced by highway maintenance management,a construction method of an intelligent assistant decision-making system for highway maintenance based on big data and artificial intelligence is proposed.By collecting basic data,historical data,and real-time data of highways,it carries out data mining and analysis,and constructs a big data foundation platform;On this basis,it designs an intelligent analysis model for maintenance and constructs an intelligent analysis and decision-making system for maintenance.This system utilizes big data and artificial intelligence technology to achieve deep mining and analysis of various types of data such as real-time monitoring data of highways,historical disease data,climate and environment,etc.Based on different types of analysis results,it provides decision support for maintenance personnel.Finally,the feasibility of the system is verified through experimental road sections.
分 类 号:U418[交通运输工程—道路与铁道工程]
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