Using Artificial Intelligence to Enhance Hazard Assessment and Safety Measures in Petrochemical Industries: Development and Analysis

The use of artificial intelligence has revolutionized many industries and has the potential to greatly enhance hazard assessment and safety measures in petrochemical industries. In this research, the aim was to develop and analyze a system that utilizes temperature, pressure, pH and vibration sensors connected to an Arduino board to detect and predict hazards. The collected sensor data is processed using AI algorithms to identify patterns and anomalies that may indicate a potential hazard. The system also includes an IoT display that displays the sensor readings at equal intervals of time, providing real-time monitoring of the environment. In addition, the system is equipped with a buzzer that sounds an alarm when any of the sensor readings exceeds the maximum limit, providing a visual and auditory alert to potential hazards. The results of this research demonstrate the effectiveness of using artificial intelligence for hazard assessment and safety measures in petrochemical industries. The system accurately detects and predicts hazards, providing critical information to petrochemical workers and allowing them to take appropriate measures to mitigate the risk. The real-time monitoring and alarm system also enhances the overall safety of the environment, as workers are quickly alerted to potential hazards. Furthermore, the system provides valuable insights into the performance of the sensors and AI algorithms, allowing for further optimization and improvement.