Automation of Lighting Modes to Improve the Reliability and Efficiency of Poultry Farming
DOI:
https://doi.org/10.32515/2664-262X.2026.14(45).257-267Keywords:
keywords automation, lighting mode, poultry farming, energy efficiency, operational reliability, control algorithmAbstract
The article aims to improve the economic efficiency of poultry farming and ensure the proper physiological state of birds by theoretically substantiating and developing an automated lighting control system. The research solves the problem of optimizing the lighting environment considering the daily and technological cycles of broiler growing. Special focus is placed on enhancing the operational reliability of the lighting equipment.
During the research, an objective function of management efficiency was substantiated, based on maximizing productivity while minimizing costs for feed, electricity, and lamps. A daily lighting schedule was developed, maintaining reduced background illumination and raising it to the zootechnical norm exclusively during feedings. To ensure a smooth transition, an energy-saving three-stage model of voltage change in the "sunrise-sunset" modes was proposed: an impulse jump to 60 V, a linear increase from 60 to 200 V, and a final transition to 230 V. This creates an illusion of a smooth dawn for the bird's vision while significantly limiting inrush currents and protecting lamps from degradation. The control algorithm was formulated as a synchronous automaton with memory, adapting parameters to the bird's age. Based on this, a functional block diagram of the automated system was developed.
The application of the developed automated system allows for complex optimization of the broiler rearing process. It is proved that the proposed three-stage simulation of "sunrise" and "sunset" minimizes physiological stress, reduces pecking, and increases the operational reliability of the installation. Maintaining poultry at a reduced illumination between feedings provides a direct reduction in energy consumption, reduces feed consumption, and decreases dust concentration. This algorithm increases the overall production efficiency.
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Copyright (c) 2026 Oleg Kepko, Ivan Lisovyi
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