Research on the Accuracy Evaluation Model of Measurement Data of Highway Inspection Equipment
The multifunctional rapid detection equipment of road conditions integrates many kinds of high-precision measuring instruments with complicated structure and high technical requirements.Scientific evaluation of the technology and the performance of different equipment can ensure the quality of traffic condition data collection.In this regard,a new accuracy evaluation model for measurement data of highway detection equipment is proposed based on the classification of actual calibration types.The evaluation model is divided into two types:the standard linear regression calibration model and the non-standard linear regression calibration model.The former uses the slope of the calibration equation,the intercept and the correlation coefficient to determine the accuracy of the measured value,the latter uses the Z score health statistics to determine the outlier detection equipment.The evaluation model can be adapted to the calibration environment of different conditions,and can accurately judge whether the measurement equipment is abnormal and has strong practicability.
road condition rapid detection equipmentaccuracy evaluation modellinear regressionZscore health statistics
NETL
NSTL
万方数据
