Predictive Performance of a Intelligent Solar-Powered FireFigurehting Robot Based on Machine learning

Robots are defined as systems consisting of a power source, controllers, control systems, sensors, and software to perform specific tasks. They are used in a variety of applications. In this study, a fireFigurehting robot is designed to be one of the most effective tools for extinguishing fires quickly and safely, preventing further damage and destruction. This paper consists of two parts: the first part is the design and implementation of a fireFigurehting robot in disaster-prone areas, reducing human labor effort and the level of destruction. The fireFigurehting robot is designed using fuzzy logic technology. The inputs are two types: flame and gas, with three organic functions, each with a gas variable (low, medium, high), and a flame sensor (small, normal, large). The output is a pump (pump off, pump on) with 9 rules. It includes a rotary motor, a gas sensor, three flame sensors (right, left, and front), and a fire water pump, all controlled by an Arduino Uno microcontroller. The photovoltaic cells are rated at 5W to provide the power needed to operate and move the robot. The second part of this paper discusses predicting the performance of a robot and a solar panel using artificial intelligence techniques in MATLAB. The data used in the artificial neural network includes data from the datasets. The results demonstrate the effective performance of the artificial neural network measured over 100 epochs. The datasets are divided into 75% for training, 15% for testing, and 10% for validation. The datasets are divided into gas sensors, right flame sensors, front flame sensors, left flame sensors, and solar panel power. A clear and distinct agreement between the actual and predicted values in the datasets was found. From this study, it can be concluded that the designed model is capable of performing as originally designed with minimal errors. Therefore, it can be applied in industrial applications, preventing fire damage and extinguishing it immediately after it occurs.