Algorithm for Autonomous Management of a Poultry Farm by a Cyber-Physical System

SIMPLE SUMMARY: The article presents a Cyber-Physical System (CPS) implemented using open-source software, used to autonomously manage the microclimate in a broiler meat production poultry farm. The system is controlled by a small Raspberry Pi computer. The CPS is built up of multiple sensors, actuators and end devices connected to each other in a network. It provides autonomous control of parameters such as temperature, relative humidity and speed of air flow in the building to ensure optimal conditions for the broiler growth. On the one hand, the system is built with cost-oriented components, but on the other hand, it provides fully autonomous control, without human intervention in all ventilation modes. This eliminates human errors and increases productivity. ABSTRACT: The article presents a Cyber-Physical System (CPS) for intelligent management of a poultry farm for broiler meat production, with a fully autonomous microclimate control. Innovative concepts have been introduced for automated management and changing parameters according to pre-set conditions and schedules, with the possibility that the parameters of the algorithm can be further adjusted by the operator. The proposed CPS provides for high productivity with minimal production waste, at optimized costs and with minimization of human errors. The CPS is built on the basis of cost-oriented components. A Raspberry Pi 4 8 GB is used as the server, and the free open-source software OpenHAB 3.0 is used to optimize the cost of building the system as much as possible.