| In order to improve the loading efficiency of the wheel loader and reduce materialhandling time, Design and Implementation the wheel loaders weighing system, the hardwareplatforms and software system must use high-performance, high-precision, adapt to thecomplexity of the automotive environment, to ensure short-term trading in weighing accuracyand stability of the system, thereby increasing the velocity of circulation of goods, reduce thegoods to take up a lot of manpower, material and financial resources in circulation.Based on the above background, the wheel loader weighing systems usinghigh-performance, low-power embedded ARM processor AT91SAM9261and preemptivereal-time multitasking operating system μC/OS-II. In order to ensure the accuracy of thesampling, the system used a24bits AD sample chip ADS1256to collect Hydraulic data.Conjunction with the system in the practical application of the functional requirements,system development cost and time factors, the hardware platform design using separate coreboard and backplane design. The software design using modular scheme, the system programis separated into three parts, including device drivers module, functional applied module andsystem API. The original data which get from the AD convert have lots of noise signal, tominimize the weighing results impact which from the wheel loaders noise signal. The systemused FFT analysis the original data, and used low-pass filter to filter the noise signal from theoriginal data. At last, used the Least squares method find the relationship between hydraulicdata and actual weight of goods.The experimental result showed: wheel loaders in the stationary state, the systemweighing accuracy achieved0.5%, confidence interval is95%. Wheel loaders in the motionstatus （speed is5~10km/h） or in the slope ground （before and after the tilt angle is lessthan10°left and right the tilt angle is less than5°）, the system weighing accuracy achieved1%, confidence interval is95%. In line with the requirements of our. |
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