Road Surface Damage Condition Monitor System Based On PQCR-PSL Sensor Installed In Vehicle

Tens of thousands of vehicles are operated every day on urban roads.Severe road damage could not only affect urban traffic,but also cause damage to driving vehicles and even cause various traffic accidents.At present,the detection of road damage in China costs large manpower and time,and cannot quickly locate the defects of damaged road type and geographical location.Therefore,it is of great significance to design a monitoring system which is low-cost and automatically identifies and locates damaged road surfaces automatically.This paper proposes a method for monitoring road damage based on vehicle vibration: the vehicle vibration sensor automatically detects the vibration generated by the vehicle on the damaged road surface,and the data is transmitted to the background monitoring software for automatic data processing and damage identification through the wireless network.At the same time,the system get the locateion of the damage road surface.In practical applications,the vibration detecting system can be installed on a public vehicle such as a city taxi to form a large-scale sensing network,which can better identify and locate road damage.The PQCR-PSL sensor is an inductive sensor developed by our laboratory which is simple,stable and reliable,and has a large frequency-frequency traction rate.It can be used for micro-displacement measurement and low-frequency vibration measurement.The system uses PQCR-PSL sensor to measure the vibration of the vehicle,and designs the dual-channel precision measuring module based on FPGA,which can improve the acquisition speed of the sensor under certain measurement accuracy.A data denoising filter is designed for the characteristics of vehicle vibration signals,including mean filtering outliers,least squares filtering trend items,and CMSE-based empirical mode decomposition for signal denoising.In this paper,the vibration waveforms of vehicles under different road damages are studied.The method of identifying the damage of pavement is designed: the mean method is used to filter out the interference event,the anomaly event based on the mean square value is extracted,the feature extraction method is compared and the IMF energy entropy is selected as the eigenvalue,and the Bayesian classifier and support vector machine classification are applied.The classification of abnormal events in the well subsidence,potholes,congestion and speed bumps.In addition,the system builds Zigbee wireless network to realize the transmission of vibration signals and geographical location information.The upper computer designed for road damage monitoring is used for vibration data visualization,database storage,data processing and road surface damage reasoning.In the experiment,the system is used to perform vibration measurement and data acquisition on the actual road vehicle.The static and dynamic tests of the inductive sensor vibration measurement performance of the PQCR-PSL structure were carried out respectively,which verified that the sensor can perform low frequency micro-amplitude measurement.Finally,the functions of each module are tested to verify the feasibility of the system function.This paper has certain reference value for the daily damage monitoring of urban roads.