Expert Knowledge in Automation Systems of Oils and Greases Adsorptive Purification

Abstract

The novelty of industrial production with continuous adsorptive purification of used oils and greases and the significant complexity of relevant processes delay the implementation of their automation systems. Four control tasks are formulated, which are related to the specified production problems and are based on the professional experience of specialists. The first task is quick determination of purification conditions when changing raw materials. It arises because the sources of raw materials are waste from industrial enterprises, as well as depleted and contaminated transport oils and greases. Such raw materials do not have a constant composition, and the beginning of changes in their properties occurs unpredictably. It was determined that solution to this problem is in searching for conditions for the purification of new raw materials analogs. The second task is to diagnose and predict emergency situations. It is relevant because of the raw material toxicity and the high risk of its ignition. This task was solved using the technology of creating expert systems. The third task is caused by the quality requirements of purified substances – there are many requirements and they are not always coordinated. It is recommended to use fuzzy logic algorithms for the task of controling purification quality. The fourth task is to establish priorities among the criteria of the sustainable development Concept in connection with constant attention of the world community to the state of environment, economy, and people's living conditions. When solving this problem, optimization methods and the selection of ratios between components of the optimization criteria were used. For each task, types of empirical knowledge, methods of obtaining and applying them are defined. The results of the study explain the importance of comprehensive application of expert knowledge and demonstrate ways of their early classification and formation.