【作者】 王勇；

【导师】 叶林；

【作者基本信息】 华中科技大学 ， 控制工程， 2019， 硕士

【摘要】 我国公路网络发展迅速、覆盖广泛,交通事故的数量也逐年增加,恶劣天气是影响公路交通安全的主要因素之一,需要依托路面状态传感器搭建监测系统提供监测、预警等服务。我国的路面状态监测系统的建设相对滞后,核心的路面状态传感器的研究较少,且部分传感器设备的监测结果只在本地展示,未经处理和发布,数据利用率较低。因此论文提出了一种新型的埋入式路面状态传感器,并依托传感器的实时数据搭建了一套路面状态远程监测系统,监测系统由路面状态传感器和监测平台组成。论文提出的埋入式路面状态传感器的核心能力是区分路面积水、结冰、积雪三种状态。传感器安装在公路表面,通过压电谐振原理区分积水和结冰状态,并实现一定范围内的积水和结冰厚度的测量。通过光电检测原理,根据传感器表面积雪时的光路变化对反射光强的影响规律,区分积雪状态。论文提出了一种低耦合性的分离的双服务器架构的监测平台,利用堆和缓存的方式满足了监测系统高效实时在线监测的需求,监测平台能够同时连接大量的传感器设备并支持在线设备管理,提高了监测系统的可扩展性。在论文的研究过程中,进行了大量原理验证、方案对比的实验,系统设计完成之后在安装现场进行了现场实验。实验证明路面状态监测系统能够准确的区分积水、结冰和积雪三种状态,区分的正确率可以达到90%以上,监测系统在现场的适应性和操作体验良好,通过远程界面能够实时高效的监测路面状态。更多还原

【Abstract】 With the rapid development of highway network in China,the number of traffic accidents is also increasing year by year,bad weather is one of the main factors affecting road traffic safety.Thus,it is necessary to establish traffic weather monitoring service system based on pavement state sensor to provide monitoring and early warning services.However,the construction of highway meteorological monitoring system in China started relatively late.Additionally,there are few researches on the core road surface sensor,and many monitoring results have not been processed and released,whose utilization rate is low as well.Therefore,the thesis proposes a new type of embedded road surface state sensor,and builds a remote road surface condition monitoring system based on the real-time data of the sensor.The monitoring system consists of the road surface state sensor and the monitoring platform.The core capability of the embedded pavement state sensor proposed in the thesis is to distinguish the three areas of road area water,icing and snow.The sensor is mounted on the surface of the road and distinguishes between stagnant water and icing by the principle of piezoelectric resonance,and achieve a range of measurements of water and icing thickness.Through the principle of photoelectric detection,the snow cover state is identified according to the influence law of the light path change of the sensor surface area on the reflected light intensity.The thesis proposes a low-coupling separate dual-server architecture monitoring platform that utilizes the heap and cache approach to meet the needs of efficient real-time online monitoring of monitoring systems.The monitoring platform can simultaneously connect a large number of sensor devices and support online device management.Increased scalability of the monitoring system.In the research process of the thesis,a large number of experiments on principle verification and program comparison were carried out.After the system design was completed,field experiments were carried out at the installation site.The experiment proves that the pavement condition monitoring system can accurately distinguish the three states of water accumulation,icing and snow accumulation,and the correct rate of differentiation can reach more than 90%.The adaptability and operation experience of the monitoring system in the field is good,and it can be real-time and efficient through the remote interface monitoring the state of the road.更多还原