The Algorithm Design And System Research Of The Vehicle-mounted And Real-time Compactness Detector

Vibration compaction work with a roller is an important part of modern road constructionprogress. The compaction quality of pavement and subgrade directly determines the servicelife of road and traffic safety. The compactness is a physical quantity that can characterize thelevel of material compaction. Therefore, the accurate and rapid compactness detection is thekey part of ensuring the quality of compaction work. In recent years, some studies about usingthe dynamic characteristic of the roller vibration wheel and the road material to detect thematerial compactness have appeared in succession and some related products are developed.On the basis of the relevant research results at home and abroad for reference, and in view ofthe existing shortcomings of the current compactness detector of research group, in this text anewing algorithm based on frequency domain analysis has been used and enhance the stabilityand adaptability of the detection of compactness. Thus the system upgrade and improvementhave been achieved.In this dissertation the existing mathematical relationship between high frequencyharmonic components in vibration wheel acceleration signal and the material stiffness isanalyzed， which is in the relation model with two degrees of freedom about “vibrationcharacteristic of vibratory roller-compactness of subgrade and pavement”, especially in thefrequency domain an study has been done and is as the theoretical basis of compactionfrequency domain algorithm. The operating principle and hardware structure configuration ofthe vehicle-mounted and real-time Compactness Detector has been introduced. The judgmentof the roller working state, the calculation of relative compactness, the calculation of absolutecompactness, the displacement confirm of the single-point compactness and other keytechnology have been analyzed thoroughly according to the speed signal and the accelerationsignal in CPU. In addition, Matlab software is used in the simulation and verification in theimportant links in signal processing. This dissertation expounds software implementationmethods and effects of the main parts, including the main program, the acquisition card driver,algorithm routine and so on. It describes the field text process about this detecting systemwith other detection methods in subgrade compaction working site of a road construction site in Inner Mongolia region. Through the analysis and comparison of the text data, the testconclusion is obtained to certify the practicality and superiority of the frequency domainanalysis algorithm.Through theoretical analysis and practical test it has been proved that, the frequencydomain analysis algorithm in this dissertation, which is to the vehicle-mounted and real-timeCompactness Detector as its carrier，can quickly, accurately, completely detect the materialcompactness when vibration compaction work is ongoing. Beyond that, this algorithm showsbetter stability and adaptability, can provide real-time progress information in compactionwork for users, and improve the work quality and efficiency effectively.