摘要
路面的养护管理是公路管理部门的核心工作之一,由于组成路面养护决策诸因素的复杂性,专家知识和工程经验一直都在路面的养护决策中发挥着重要的作用。因此研究开发能够汇集专家知识并模拟专家解决问题过程的路面养护专家系统具有极大的应用价值。本文对过去近20年间国内外开发的主要路面养护管理系统进行了回顾,分析了不同系统的特点及在开发和应用方面存在的不足。最后结合现代人工智能技术的发展现状,提出将来路面养护专家系统的研究方向。
Pavement maintenance management,which aims at keeping the road network in a serviceable state,is one of the key tasks of highway agencies.As many of the components of pavement maintenance management are complex and poorly structured,the decision of pavement maintenance depends a lot of domain expert experience and engineering judgment.An expert system(ES),which can systematically formalize and utilize the thought processes and experience of experts,offers great potential as a tool for addressing pavement maintenance needs.The most important pavement maintenance expert systems developed at home and abroad were reviewed in this paper,the characteristics of the different ESs were analysed and the limitations existing in the development and application of this ESs were identified.Following the introduction of some modern intelligent techniques which can be integrated into expert systems,future research in the development and application of ES in pavement maintenance was put forward.
出处
《公路交通科技》
CAS
CSCD
北大核心
2005年第6期57-60,67,共5页
Journal of Highway and Transportation Research and Development
关键词
路面
养护
专家系统
人工神经网络
知识获取
Pavement
Maintenance
Expert System
Artificial Neural Network
Knowledge Acquisition