The invention relates to the technical field of tunnel intelligent management and maintenance, in particular to a tunnel digital intelligent management and maintenance method and system, and the method comprises the steps: building a tunnel real-time model through the collection of tunnel geometric representation and tunnel monitoring information, carrying out the recognition of license plates and vehicle types of passing vehicles according to the collected historical traffic data, and obtaining a real-time model; the method comprises the steps of obtaining high-risk vehicle information, performing road risk detection on a tunnel road, obtaining high-risk road section information, integrating the high-risk vehicle information and the high-risk road section information, obtaining a traffic feature set, performing disease prediction based on the traffic feature set and a tunnel real-time model, and preventing tunnel diseases based on a disease prediction result. According to the invention, the problem that the traditional tunnel disease monitoring method cannot accurately identify high-risk vehicles and road sections in real time is effectively solved, the high-risk vehicles and road sections can be accurately identified by integrating the tunnel real-time model and the traffic feature set, and the accuracy of tunnel disease prediction is effectively improved.
本发明涉及隧道智慧管养技术领域,尤其涉及一种隧道数字化智慧管养方法及系统,方法包括:通过采集隧道几何表征与隧道监测信息,构建隧道实时模型,根据采集的历史交通数据对过路车辆进行车牌与车辆类型识别,获得高风险车辆信息,并同时对隧道路进行道路风险检测,获得高风险路段信息,对高风险车辆信息与高风险路段信息进行整合,获得交通特征集合,基于交通特征集合与隧道实时模型进行病害预测,基于病害预测结果对隧道病害进行预防,通过本发明,本发明有效解决了传统隧道病害监测方法无法实时精准识别高风险车辆与路段的问题,通过整合隧道实时模型与交通特征集合,能够准确识别高风险车辆和路段,有效提高隧道病害预测的精度。
Tunnel digital intelligent management and maintenance method and system
一种隧道数字化智慧管养方法及系统
2025-04-25
Patent
Electronic Resource
Chinese
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