Abstract:To solve the problem that aggregate composition proportion was difficult to control by volatile measuring and big super rate in aggregate weighing process of asphalt mixing plant, the homemade 4000 type asphalt mixing plant aggregate weighing was taken as research object. The related parameters of correction coefficient, grey correlation distinguish coefficient, error weighting and rate coefficient were chosen as control parameters. A new grey correlation deviation correction method was designed based on the dynamic monitoring of asphalt mixing plant. The grey correlation degree between aggregate calibration reference data sequence and dynamic monitoring measurement data sequence was analyzed to dynamically correct the aggregate weighing process. The results show that by the proposed control method, the aggregate measurement process becomes smooth. The maximum aggregate super rate is decreased from above 5% to less 3%, and the aggregate dynamic grading error is decreased from more than plus or minus 1.5% down to less than plus or minus 1.5%. The big measuring error is decreased with improved dosing precision.
安海超, 杨波. 基于灰色关联的沥青拌和楼骨料称量系统校正[J]. 江苏大学学报(自然科学版), 2016, 37(3): 327-331.
AN Hai-Chao, YANG Bo. Correction of aggregate weighing system of asphalt mixing plant based on grey correlation[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2016, 37(3): 327-331.