Інформаційна технологія оптимізації підсистем збору даних АСУТП в умовах комбінованої невизначеності

Abstract

Thesis is devoted to task solution of informational technology of CAM (computer-aided manufacturing) data acquisition subsystems’ structure optimization with the purpose to improve their efficiency in the context of combined uncertainty. Method of system modeling in the context of combined uncertainty has been developed. The method is based on the formal system of algorithmic models and uses operational presentation of ambiguous data transformation. The concept about model complex has been formulated; these models are the basis of informational technology of data acquisition subsystems’ structure optimization. Method of characteristic estimation of data acquisition subsystems in the context of uncertainty has been improved and it allows enlarging the field of use of algorithmic models and increasing the reliability of DAS estimation. Developed algorithms and methodologies of informational technologies have been implemented in the form of software “Checkout Subsystem Optimizer” which develops possibilities of the existing systems of CAM modeling, analysis and projecting.