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Cement concrete pavement comprehensive maintenance method
The invention discloses a cement concrete pavement comprehensive maintenance method, and relates to the technical field of road construction, the method adopts a recurrent neural network (RNN) model to perform pavement health prediction, effectively captures the sequential relationship of multi-source data, improves the prediction precision and accuracy, establishes the association of pavement health with traffic load and climate factors through spatio-temporal data analysis, and improves the prediction accuracy. A relation network model is constructed, finer driving factor identification is realized, a multi-objective optimization particle swarm optimization algorithm is adopted, multiple objectives of maximizing the service life of a road surface, minimizing the maintenance cost and optimizing traffic are balanced, more comprehensive maintenance strategy making is realized, the risk degree of the maintenance strategy is evaluated by adopting a risk perception model, and the risk of the maintenance strategy is improved. And an emergency plan is made for each strategy, so that the response capability to an emergency situation is enhanced.
本发明公开了水泥混凝土路面综合养护方法,涉及道路施工技术领域,本发明采用循环神经网络RNN模型进行路面健康预测,有效捕捉多源数据的时序关系,提高预测精度和准确性,通过时空数据分析建立路面健康与交通负荷、气候因素的关联,构建关系网络模型,实现更精细的驱动因素识别,采用多目标优化粒子群优化算法,平衡了最大化路面寿命、最小化维护成本和优化交通通行多目标,实现了更全面的养护策略制定,采用风险感知模型评估养护策略的风险程度,为每种策略制定应急预案,增强了对突发状况的响应能力。
Cement concrete pavement comprehensive maintenance method
The invention discloses a cement concrete pavement comprehensive maintenance method, and relates to the technical field of road construction, the method adopts a recurrent neural network (RNN) model to perform pavement health prediction, effectively captures the sequential relationship of multi-source data, improves the prediction precision and accuracy, establishes the association of pavement health with traffic load and climate factors through spatio-temporal data analysis, and improves the prediction accuracy. A relation network model is constructed, finer driving factor identification is realized, a multi-objective optimization particle swarm optimization algorithm is adopted, multiple objectives of maximizing the service life of a road surface, minimizing the maintenance cost and optimizing traffic are balanced, more comprehensive maintenance strategy making is realized, the risk degree of the maintenance strategy is evaluated by adopting a risk perception model, and the risk of the maintenance strategy is improved. And an emergency plan is made for each strategy, so that the response capability to an emergency situation is enhanced.
本发明公开了水泥混凝土路面综合养护方法,涉及道路施工技术领域,本发明采用循环神经网络RNN模型进行路面健康预测,有效捕捉多源数据的时序关系,提高预测精度和准确性,通过时空数据分析建立路面健康与交通负荷、气候因素的关联,构建关系网络模型,实现更精细的驱动因素识别,采用多目标优化粒子群优化算法,平衡了最大化路面寿命、最小化维护成本和优化交通通行多目标,实现了更全面的养护策略制定,采用风险感知模型评估养护策略的风险程度,为每种策略制定应急预案,增强了对突发状况的响应能力。
Cement concrete pavement comprehensive maintenance method
水泥混凝土路面综合养护方法
LUO JUNHUI (author) / MO PENG (author) / CHANG ZHENCHAO (author) / PAN ZHU (author) / CHEN DEQIANG (author) / LIU HONGYAN (author) / TANG HAO (author)
2023-12-22
Patent
Electronic Resource
Chinese
IPC:
G06Q
Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke
,
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
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