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

• Autorzy: Lysenko V. , Golovinskyi B. , Reshetiuk V. , Shcherbatiuk V. , Shtepa V.

Warianty tytułu

PL

Metody efektywnego energetycznie zarządzania obiektami biotechnicznymi na podstawie przewidywanych zakłóceń naturalnych

• Języki publikacji: EN

Abstrakty

EN

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.

PL

Aktualnie większość biotechnicznych obiektów w rolnictwie, takich jak kurniki, szklarnie i inne, funkcjonują z uwzględnieniem metody stabilizacji technologicznych parametrów środowiska (temperatura powietrza, wilgotność powietrza itp.). Takie podejście prowadzi do nadmiernego zużycia źródeł energii (energii elektrycznej, gazu). Inteligentna kontrola i sterowanie bazujące na wykorzystaniu różnych strategii (nie tylko strategii stabilizacji), przewidywaniu i uwzględnianiu naturalnych zakłóceń w obiektach biotechnicznych, a także fizjologicznych cech obiektów biologicznych (drób, materiał roślinny itp.) pozwalają na zmniejszenie zużycia energii. W artykule przedstawiono szczegółową wiedzę dotyczącą obszarów włączenia systemów kontroli obiektów biotechnicznych, metodologicznie bazujących na specjalistycznym oprogramowaniu algorytmiczno-matematycznym z uwzględnieniem metod teorii gier i statystycznych rozwiązań, sieci neuronowych (uwzględniając algorytm genetyczny) filtrujących elementy składowe sygnałów informacyjnych.

Słowa kluczowe

EN

energy-efficient mode; management; biotechnical object; control system; statistical decision; neural network; agriculture

• Wydawca: -
• Czasopismo: Annals of Warsaw University of Life Sciences - SGGW. Agriculture
• Rocznik: 2015
• Numer: 65 Agric.Forest Eng.
• Opis fizyczny: p.111-118,fig.,ref.

Twórcy

autor

Lysenko V.

• National University of Life and Environmental Sciences of Ukraine in Kyiv, Heroiv Oborony 12, Kyiv, 03041 Ukraine

autor

Golovinskyi B.

• National University of Life and Environmental Sciences of Ukraine in Kyiv, Heroiv Oborony 12, Kyiv, 03041 Ukraine

autor

Reshetiuk V.

• National University of Life and Environmental Sciences of Ukraine in Kyiv, Heroiv Oborony 12, Kyiv, 03041 Ukraine

autor

Shcherbatiuk V.

• National University of Life and Environmental Sciences of Ukraine in Kyiv, Heroiv Oborony 12, Kyiv, 03041 Ukraine

autor

Shtepa V.

• National University of Life and Environmental Sciences of Ukraine in Kyiv, Heroiv Oborony 12, Kyiv, 03041 Ukraine

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