Technological Processes Operational Assessment Frame Model in Automated Control Systems

A frame model is described, which underlies moisture content operational assessment system functioning during its drying in drum drying installations. Drying plant equipment includes a variety of sensors that monitor the drying process. Failure of one or several sensors can have a negative impact on the drying process information content, but won't bring any effect on the dried alcohol stillage quality. Therefore, sensors groups are identified in a way to correspond states classes: failure-free operation, soft failures, medium failures, and sensors' hard failures. The frames of the created model describe equipment drying plant functioning states classes, and specific properties of each class are reflected in the slots containing the attached procedures for neural networks implementation that allow moisture content material estimation. The frame model allows to create adaptive sensors for material's moisture content operational assessment, taking into account equipment operation various states, making up the drying unit and its operating modes. The use of an adaptive sensor makes it possible to estimate alcohol stillage moisture content for all operating states with an error less than 2 %.