What problems does it solve?
In traditional manufacturing plants, monitoring machine conditions often relies on routine inspections or employee-reported failures. This leads to unplanned downtime, higher maintenance costs, and limited capabilities for predictive maintenance. Additionally, companies struggle with analyzing energy consumption, optimizing machine performance, and monitoring workplace conditions (e.g., temperature, humidity, noise levels).
What is it and what are the benefits?
IoT (Internet of Things) is a technology that connects devices, machines, and sensors into a single network, enabling real-time data collection and analysis. AWS IoT and Azure IoT are cloud-based platforms that allow companies to monitor infrastructure and optimize production processes. With IoT, businesses can predict failures, reduce energy consumption, and improve worker safety.
How does it work?
IoT sensors installed on machines collect data on temperature, vibrations, pressure, and energy consumption. This data is then sent to the cloud (e.g., AWS IoT Core or Azure IoT Hub), where it is analyzed in real time. AI and machine learning algorithms can detect patterns, predict failures, and automatically generate alerts for the maintenance team. These systems can also integrate with MES and ERP platforms, providing valuable data for further analysis.
