基于智能检测控制的公路路基系统设计与研究  

Design and research of highway subgrade system based on intelligent detection and control

作　　者：李任琼 LI Renqiong(Yunnan Institute of Highway Science and Technology,Kunming 650000,China)

机构地区：[1]云南省公路科学技术研究院,云南昆明650000

出　　处：《电子设计工程》2023年第16期91-95,101,共6页Electronic Design Engineering

摘　　要：公路路基易受到应变、沉降、潮湿气候等因素的侵蚀,从而造成公路路基的损毁。基于上述原因,需依靠传感器对公路路基进行监控和检测,以安排人员对路基进行保养。采用应变、沉降、温湿度等传感器对公路路基数据进行采集,并通过系统实时检测,对过阈值数据发出提示。通过采用概率神经网络模型对路基的正常状态和故障状态进行识别试验。试验结果表明,该模型可判别各类状态,训练时间为0.142 43 s,该模型的准确率可达98.4%,依照损毁状态相应地实施路基维护方案。该文针对公路路基的检测系统在相关研究方面具有应用价值。Highway subgrade is easily eroded by factors such as strain,settlement and humid climate.Thus it causes damage to the highway subgrade.For the above reasons,it is necessary to rely on sensors to monitor and detect the highway subgrade.It need arrange personnel to maintain the subgrade.Sensors such as strain,settlement,temperature and humidity are used to collect the data of highway subgrade,which is detected in real time by the system.It prompts for threshold data.The probabilistic neural network model is used to identify the normal state and fault state of subgrade.The experimental results show that the model can distinguish various states,the training time is 0.14243 s,and the accuracy of the model can reach 98.4%.The subgrade maintenance scheme shall be implemented according to the damaged state.The detection system of Highway Subgrade in this paper has application value in related research.

关 键 词：智能检测 公路路基 智能交通 传感器 概率神经网络 

分 类 号：TN925[电子电信—通信与信息系统]