Iot based Industrial Disaster Management System

Abstract

The productive and safe operation of machinery is critical in industrial settings. Unexpected problems, on the other hand, including excessive noise and vibration, may be signs of impending malfunctions or breakdowns, which could result in expensive downtime and safety risks. This project offers an Internet of Things (IoT)-based Industrial Disaster Management System (IDMS) intended to monitor the condition of machinery and enable prompt maintenance interventions in order to address these issues[2].Vibration and noise sensors are employed by the IDMS to continuously monitor the machinery's operational status. The system immediately initiates a repair request when it detects unusually high levels of vibration or noise, which could be signs of possible problems. The IDMS interacts with service staff via an embedded GSM modem, automatically scheduling machine maintenance to quickly resolve faults that are found. In addition, the ThingSpeak cloud platform receives real-time vibration and noise level data from the IDMS over a TCP/IP interface. Through remote access to machinery health data made possible by this cloud-based monitoring, stakeholders may keep an eye on performance patterns and proactively spot possible problems[3].A 16x2 LCD display is included into the system to give local feedback, giving on-site staff access to real-time data on vibration and noise levels. An Arduino microcontroller functions as the IDMS's central processing unit, coordinating operations related to sensor data collecting, analysis, and transmission.