Energy-efficient modes for management of biotechnical objects based on natural disturbances prediction

Abstract

Energy-efficient modes for management of biotechnical objects based on natural disturbances prediction. Nowadays overwhelming majority of biotechnical objects in agriculture, such as poultry houses, greenhouses etc., function under the mode of stabilization of technological parameters (air temperature, humidity etc.). This approach leads to excess consumption of energy resources (electrical energy, natural gas). Intelligent control based on using different strategies (not only stabilization), prediction and consideration of natural disturbances on biotechnical objects, physiological features of biological objects (poultry, plants etc.) allows to reduce energy consumption. The paper presents specific knowledge concerning promising areas of control systems of biotechnical objects, methodological bases for specialized algorithmic-mathematical software construction based on the methods of game theory and statistical solutions, neural networks (including genetic algorithm), filtering the noise components of information signals.