Loader Based on Machine Vision Intelligent Shoveling Method
Loaders are developing towards intelligence,energy saving,and low energy consumption.It is particularly important to plan a low energy consumption and high efficiency shoveling trajectory for the loaders.At this stage,the best method for verify-ing the loader trajectory does not consider the measurement error caused by the working environment,and the planned shoveling trajectory cannot be applied to the loader under real working conditions.Based on the mixed calculation of the empirical formula and the insertion depth formula,combined with the software algorithm,this paper designs a shovel loading curve trajectory and a mixed shovel loading trajectory that are closer to the real working conditions,and input the two trajectory curves to the loader working device test bench.Test and verify.Compared with the traditional simulation verification method,this paper adopts the real workbench to collect data,restores the real environment of shovel loading operation,and introduces the double standard of bucket full rate and operation resistance for judgment.The experimental results show that,for the same workload and the same time,the force of the hybrid shovel loading trajectory method is less than that of the one shovel loading trajectory method,and the full bucket ratio hybrid shovel loading method is higher than that of the one shovel loading method.
LoaderBucket Full RateShovel Loading TrackEnergy Savin
NETL
NSTL
万方数据
维普
