Modeling and Agent Based Simulation of the Smart Animal Kennel System; [Akıllı Hayvan Barınak Sistemi Tasarımı ve Etmen Tabanlı Simülasyonu]
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Date
2022
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Abstract
The aim of this study is to model a smart animal kennel system that will provide controlled water and food needs for stray animals. In this study, the physical model of the system is created and a simulation application is proposed to optimize this system. Raspberry Pi kit is used in the physical model design of the system. This kit provides the execution of electronic elements in conjunction with Python programming in relation to the Internet of Things (IoT) in this study. The system prototype is based on a water and food tank. The water and food occupancy rates in the system work with a negative feedback control mechanism. In addition to the control of the system in water and food containers, the rates in the water and food tanks in the prototype are measured with the Raspberry Pi according to the data obtained from the sensors. The data is sent to the server with TCP/IP socket programming. The data to the server with the TCP/IP program takes place in the database. These measured data can be observed on the web platform. A simulation study is presented using agent-based modeling approach for the development of this proposed system. Two different agent classes are defined in the agent-based simulation application of the system. Interactions between agents can be observed in experimental studies with parameter tuning. It is thought that this study has the potential to benefit stray animals and to be used by relevant institutions such as municipalities. © 2022, TUBITAK. All rights reserved.