公路检测装备测量数据准确性评估模型研究
Research on the Accuracy Evaluation Model of Measurement Data of Highway Inspection Equipment
付强 1余文瑞 2巩建3
作者信息
- 1. 中国人民解放军96911部队 北京市 100011
- 2. 中交建筑集团北京检测科技有限公司 北京市 101107
- 3. 路网新通(北京)交通科技有限公司 北京市 100015
- 折叠
摘要
多功能路况快速检测设备集成了多种高精度测量仪器,结构复杂,技术要求高,对不同设备的技术及使用性能进行科学评估是保障路况数据采集质量亟待解决的问题.为解决这一问题,基于实际标定类型的分类提出了一种新的公路检测装备测量数据准确性评估模型.该评估模型分有标准值线性回归标定模型和无标准值线性回归标定模型两种,前者用标定方程的斜率、截距和相关系数是否超出规定的阈值判定检测装备测值的准确性,后者采用Z比分数健统计方法判断测值处于离群的检测装备.该评估模型可适应不同条件的标定环境,可准确判断检测装备测值是否异常,实用性强.
Abstract
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.
关键词
路况快速检测设备/准确性评估模型/线性回归/Z比分数健统计方法Key words
road condition rapid detection equipment/accuracy evaluation model/linear regression/Zscore health statistics引用本文复制引用
基金项目
2020年交通运输标准(定额)项目(2020-04-048)
交通运输部建设科技项目(2015 318 X11 290)
浙江省交通科技研究项目(ZJXL-SGL-201807)
出版年
2024
NETL
NSTL
万方数据