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Komputerowa symulacja procesu składania i rozkładania ramy nośnej narzędzia rolniczego

Zbytek Z., Łowiński Ł., Talarczyk W.

Journal of Research and Applications in Agricultural Engineering

2007

Vol. 52, nr 2

16-20

Omówiono symulacje komputerowe procesu składania i rozkładania ramy nośnej narzędzia rolniczego przeprowadzone w fazie projektowania. Opracowany model geometryczny ramy nośnej poddano analizie wpływu zmiany położenia narzędzia na reakcje w punktach zawieszenia na ciągniku, wpływu zmiany położenia ramion bocznych ramy na reakcje w miejscach mocowania siłowników oraz określono położenie i kształt zderzaków i łącznika. W wyniku podjętych prac uzyskano konstrukcję belki nośnej narzędzia rolniczego stanowiącą podstawę do przeprowadzenia analizy wytrzymałościowej modelu obliczeniowego MES całej konstrukcji wielofunkcyjnego narzędzia uprawowo-pielęgnacyjnego.

Computer simulations of the process of folding and unfolding of main frame of agricultural implement which were carried out and the phase of designing are discussed in the paper. Elaborated geometrical model of the mainframe was put to the analysis to determine the influence of implement position changes on reactions in the points of its mounting on the tractor as well as to determine the influence of changes of positions of the frame side arms on reactions in the points where hydraulic cylinders are fixed. Then the location and shape of the stops and the connecting rod were determined. As a result of these works created was construction of the agricultural implement main beam which will be a base for carrying out strength analysis of calculation model FEM of the whole construction of the agricultural multifunctional implement.

Load balancing algorithm for parallel vision system using cots pcs and networks

Kim Y., Kim B.

Image Processing & Communications

2002

Vol. 8, no 2

43-56

We developed a real-time parallel vision system (PAVIS) along with suitable parallel vision algorithms. PAVIS is designed for cost-effectiveness and flexibility, which is composed of several isotypic commercially off-the-shelf (COTS) PCs with an Ethernet switch that constitute a logically fully connected parallel system. Image partitioning method using the equal area criterion has been used for load distribution in parallel vision processing. Since the load is not the pixels but the feature points for high-level vision operations, we propose an image partitioning method named perpendicular image partitioning (PIP), which partitions image data not by the area of image but by the number of features. PIP functions as an efficient load distribution method, since image partitioning and load balancing are simultaneously performed. Real-time vision algorithm for corner detection and feature matching are also devised. Since the objects on the temporally successive sequence of image have motion continuity, we can speedup vision operations by reducing search area for corners or matching pairs along the motion trajectories found from the prey ions image frames. PAVIS is applied to the real-time depth determination problem for mobile robot navigation. The experimental results confirm the validity of proposed algorithms, and its real-time performance within the frame rate.