为满足工业化生产集料含水率的检测需求,基于微波透射和多元线性回归模型理论构建分析模型,对其显著性及检测结果可靠性进行了研究,建立了对比偏差及其均方根误差、标准差、变异系数评价指标以表征0~4. 75 mm,4. 75~16. 00 mm,16. 00~31. 50 mm不同粒径范围集料含水率离线与在线检测结果的重复性和检测精度。结果表明:多元线性回归分析模型拟合优度较高,离线与在线检测数据对比偏差范围为±0. 3%,均方根误差为0. 148%,0. 130%,0. 147%,检测结果高度契合,满足工程检测需求。

In order to meet the demand of detecting moisture content of aggregates in industrial production, an analysis model was constructed based on microwave transmission and multiple linear regression model theory, its significance and the reliability of its detection results were studied. The comparison deviation and its root mean square error, standard deviation and coefficient of variation evaluation indexes were established to represent the repeatability and accuracy of the off-line and on-line measurement results of the water content of aggregates with different particle size ranges of 0~4. 75 mm, 4. 75~16. 00 mm and 16. 00~31. 50 mm. The results showed that the multiple linear regression analysis model had a high goodness of fit, the deviation range of offline and online detection data was ±0. 3%, and the root mean square error was 0. 148%, 0. 13%, 0. 147%. The test results were highly consistent and meet the requirements of engineering detection.