2021, 13(1): 46-50. doi: 10.16670/j.cnki.cn11-5823/tu.2021.01.07
基于高光谱成像的隧道油污监测系统设计
南京林业大学 汽车与交通工程学院，南京 210037 |
Design of Tunnel Oil Pollution Monitoring System Based on Hyperspectral Imaging
College of Automobile and Transportation Engineering, Nanjing Forestry University, Nanjing 210037, China |
引用本文:
赵风财, 肖广兵, 张涌. 基于高光谱成像的隧道油污监测系统设计[J]. 土木建筑工程信息技术,
2021, 13(1): 46-50.
doi: 10.16670/j.cnki.cn11-5823/tu.2021.01.07
Citation:
Zhao Fengcai, Xiao Guangbing, Zhang Yong. Design of Tunnel Oil Pollution Monitoring System Based on Hyperspectral Imaging[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2021, 13(1): 46-50.
doi: 10.16670/j.cnki.cn11-5823/tu.2021.01.07
摘要:设计了基于高光谱成像的隧道油污监测系统，主要由油污监测系统、上位机管理系统、数据处理模块、油污清理模块等组成，利用无线传感网络实现通讯。系统实现了隧道油污超标的自动预警和油污的精准清理，使得隧道地面抗滑性能提高，保障了隧道内车辆驾驶的安全性。该系统具有操作简单，功能全面的特点，能够提高隧道管理的效率和决策的准确性。
Abstract: A tunnel oil pollution monitoring system based on hyperspectral imaging is designed, which is mainly composed of oil pollution monitoring system, upper computer management system, data processing module, oil pollution cleaning module and so on. Wireless sensor network is used to realize communication. The system realizes the automatic warning of excessive oil pollution in the tunnel and the accurate cleaning of oil pollution, which improves the anti-skid performance of the tunnel ground and ensures the safety of vehicles driving in the tunnel.The system has the characteristics of simple operation and comprehensive function, which can improve the efficiency of tunnel management and the accuracy of decision-making.
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