In this study, the comprehensive design, development, topology optimization, and power analysis of a mobile early fire detection robot were conducted. All subcomponents and the full assembly model were created using computer-aided design (CAD) tools. Electronic hardware-including RGB and thermal cameras, Raspberry Pi, and motor drivers-was selected, and corresponding mounting parts were designed to integrate the components into the structure. Finite element analyses (FEA) were performed to evaluate structural strength and stability. Topology optimization was applied to reduce the overall weight and energy consumption of the system. A specialized power analysis tool was developed to compare the energy usage of the non-optimized and optimized designs. The FEA and power analysis results confirmed that the optimized structure achieved a 25% weight reduction and an 11% decrease in energy consumption, demonstrating improved efficiency in the mobile fire detection robot.
CAD-based fire detection robot Computer-aided engineering Energy-efficient mobile robot Finite element analysis Power analysis Topology optimization
Ethics committee approval was not required for this study because there was no study on animals or humans.
In this study, the comprehensive design, development, topology optimization, and power analysis of a mobile early fire detection robot were conducted. All subcomponents and the full assembly model were created using computer-aided design (CAD) tools. Electronic hardware-including RGB and thermal cameras, Raspberry Pi, and motor drivers-was selected, and corresponding mounting parts were designed to integrate the components into the structure. Finite element analyses (FEA) were performed to evaluate structural strength and stability. Topology optimization was applied to reduce the overall weight and energy consumption of the system. A specialized power analysis tool was developed to compare the energy usage of the non-optimized and optimized designs. The FEA and power analysis results confirmed that the optimized structure achieved a 25% weight reduction and an 11% decrease in energy consumption, demonstrating improved efficiency in the mobile fire detection robot.
CAD-based fire detection robot Computer-aided engineering Energy-efficient mobile robot Finite element analysis Power analysis Topology optimization
Ethics committee approval was not required for this study because there was no study on animals or humans.
Primary Language | English |
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Subjects | Optimization Techniques in Mechanical Engineering, Machine Design and Machine Equipment, CAD/CAM Systems |
Journal Section | Research Articles |
Authors | |
Early Pub Date | September 11, 2025 |
Publication Date | September 15, 2025 |
Submission Date | May 31, 2025 |
Acceptance Date | September 9, 2025 |
Published in Issue | Year 2025 Volume: 8 Issue: 5 |