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基于系统工程学、信息工程技术和应用数学以及安全评价预测理论与方法,从数据支持、路面使用性能评价、预防性养护决策和对策方案优选方面,对路面养护管理系统开发智能决策分析优化设计进行了深入的分析和研究,给出了数据筛选分类和存储单元划分优化算法,从路面结构承载能力、路面行驶质量、路面行驶安全性、路面表面破损4个方面构建了路面使用性能评价优化模型,并基于多模型预测和相关分析决策流的路面使用性能预测理念构建了路面预防性养护模块PPM优化模型,并给出了对策方案优选的数学模型和算法。
Based on the theories and methods of system engineering, information engineering, applied mathematics and safety assessment and prediction, this paper analyzes the optimal design of pavement maintenance management system based on data support, pavement performance evaluation, preventive maintenance decision-making and countermeasures optimization Depth analysis and research, data screening classification and storage unit division optimization algorithm are given, and the optimization model of pavement performance evaluation is constructed from four aspects: bearing capacity of pavement structure, driving quality of pavement, driving safety of pavement and surface damage of pavement. And based on multi-model prediction and correlation analysis, the PPM optimization model of pavement preventive maintenance module is built and the mathematical model and algorithm for the selection of countermeasures are given.