Research on the Measurement Method of Feeding Rate in Silage Harvester Based on Components Power Data

For existing problems, such as the complex interactions between a crop and machine, measuring difficulty limited measurement precision of feeding quantity within corn silage harvester, method rate based on key conditions data, working data cleaning, multiple variate regression is proposed. Non-destructive rotation speed, torque, power consumption sensors are designed for mechanical components. The conditions, rotating consumption, hydraulic pressure, flow operation parts including cutting, feeding, shredding, throwing monitored collected in real-time during field harvesting. screened preprocessed, Mann-Kendall boundary extraction algorithm applied, component time lag correction analysis, Grubbs exception detection method. Based Pearson correlation analysis results, one-factor multiple-factor models respectively developed to achieve an accurate rate. validation tests show that results among load-stabilizing components shredding roller blower highly reliable, with correct 100%. monitoring blowers significantly correlated rate, max coefficient 0.97. determination single-factor model reaches 0.94, maximum absolute error multi-factor 0.58 kg/s. relative ±5.84%, providing technical support automatic intelligent tuning harvester.