Zaiets N. Scientific Bases of Management of Electrotechnical Complexes of Continuous Productions with Forecasting of Unusual Situations

The dissertation is devoted to the decision of the important actual scientific and applied problem of creating forecasting methods for prevention of occurrence of abnormal situations by developing and implementing a system of efficient functioning of electrical engineering complexes of food industries taking into account their features as interrelated organizational and technological systems aimed at increasing energy efficiency, resource conservation and performance. To determine the effective strategies for achieving the target criteria for the functioning of the enterprise, based on the performed theoretical and experimental research, new factor-purpose models of the electrical complex of food production are designed. The formalized process of forming a comprehensive program of maintenance and repair of equipment, based on the principles of service on the basis of reliability, is grounded using subsystems for predicting the reliability of primary measuring converters and motors. The optimization problem for the dimension of the space of the input parameters of the prediction model for the reliability of the electric motors is solved and mathematical models for predicting of reliability of electric motors are developed, which in the operational mode allows to detect defects, control the state of machines and predict the term of their work. A resource-process approach to reduce the machine time of the implementation of daily production capacity of the enterprise is developed, which allows to increase the energy and resource efficiency of food production. А strategy of choosing the type of control system for the technological process for ensuring stability in the conditions of occurrence of abnormal situations with the use in the non-regular mode of robust control systems is implemented. A scenariocognitive model for establishing effective strategies and scenarios of the functioning of the electrical engineering complex of food industries and its behavioral forecast for various control influences was constructed. As a result of the conducted researches a new strategy of generalization of expert estimation of mutual influence of concepts on the basis of methods of cluster analysis is proposed. The systematization of wastewater parameters for diversified food segment enterprises was made, a list of pollutants was created and methods for bringing them to limit-permissible concentrations were determined. The interconnection of electricity consumption of the electrotechnological complex of sewage treatment of food industries depending on the type of the enterprise and the volume of waste water with the use of volley wastewaters of the utilization unit, which enables to determine in operational mode energy and economic indicators of the functioning of such a complex, is determined. The new generalized structure of the control system with the prediction function was scientifically substantiated and its algorithmic software was developed, which enables the introduction of the system at diverse enterprises of the food industry, the operational assessment of the interactions between the state and parameters of the electrical engineering system and allows to increase energy efficiency, resource conservation and productivity of production.