Energy Optimization and Remote Monitoring System for Crane and Material Handling Operation

Abstract

The rapid increase of industrial material-handling operations creates a need for new systems that are more efficient and that use less energy. Cranes are required for lifting and transporting loads. However, continuous use of the systems can lead to high energy use, unforeseen downtimes, and safety concerns. This project, “Energy Optimization and Remote Monitoring System for Crane and Material Handling Operations,” introduces an IoT based project that monitors energy parameters in order to optimize energy use and also monitor crane systems in real-time. The system is proposed to use a combination of sensors, microcontrollers, and wireless communication in order to measure load weight, motor current, voltage, vibration, and operating time. All of this collected data is transmitted to a cloud server to visualize the data in real time. Intelligent Monitoring of the cloud can help detect system abnormalities, predict system downtimes, and analyze operational patterns to reduce the power used during a system’s operation. The system is proposed to achieve all of this by using an automated alert system and remote monitoring. This is to increase the safety and performance of the system while also minimizing the system downtime. This approach to smart monitoring and energy use supports industrial automation and the use of sustainable practices in material-handling environments.