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人工智能在轮轨交通中的应用及展望

Application and prospect of artificial intelligence in wheel-rail transportation
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摘要 轮轨交通在轨道交通中处于主导地位,将人工智能技术运用到轮轨交通中将使其发挥出更重要的作用。为全面分析人工智能在轮轨交通中的应用现状,从列车操纵、智能监测、故障诊断以及车辆设计等方面进行介绍,并展望未来人工智能在轮轨交通中的发展方向。研究结果表明:列车自动驾驶系统融合神经网络与模型预测可提升轨迹跟踪精度,进一步结合深度学习优化能耗可实现自适应节能;人工智能技术已广泛应用在车辆的部件状态及铁路沿线自然灾害的监测中,同时,在车辆走行部和牵引供电系统的故障诊断中也发挥重要作用;人工智能技术还对车辆的参数优化、性能预测和结构改进等进行了探索和应用,用大量实践验证人工智能技术应用在车辆设计方面的可靠和有效。 Wheel-rail transportation dominates the field of rail transit and applying artificial intelligence technology to wheel-rail transit will make it play a more significant role.To comprehensively analyze the current applications of artificial intelligence in rail and wheel transportation,the train operation,intelligent monitoring,fault diagnosis,and vehicle design have been introduced in this study,along with prospective development directions for artificial intelligence in this field.Research findings indicate that the integration of neural networks and model predictive control in automatic train driving systems can enhance trajectory tracking accuracy,while further optimization of energy consumption through deep learning can achieve adaptive energy savings.Artificial intelligence technology is extensively applied in monitoring the condition of vehicle components and natural disasters along railway lines,and it also plays a crucial role in diagnosing faults in the vehicle running gear and traction power supply systems.Artificial intelligence technology has also been explored and applied to vehicle parameter optimization,performance prediction and structure improvement,the application of artificial intelligence technology in vehicle design has been verified to be reliable and effective through a large number of practices.
作者 黄志辉 李治桦 田明洁 陈丙硕 刘志超 侯宇轩 HUANG Zhihui;LI Zhihua;TIAN Mingjie;CHEN Bingshuo;LIU Zhichao;HOU Yuxuan(State Key Laboratory of Rail Transit Vehicle System,Southwest Jiaotong University,Chengdu 610031,China)
出处 《交通科技与经济》 2025年第4期1-10,共10页 Technology & Economy in Areas of Communications
基金 国家自然科学基金项目(12472395) 中国国家铁路集团有限公司科技研究开发计划项目(L2024J003) 四川省自然科学基金项目(2024NSFSC0155)。
关键词 轮轨交通 人工智能 列车操纵 智能监测 故障诊断 车辆设计 wheel-rail transportation artificial intelligence train operation intelligent monitoring fault diagnosis vehicle design
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