Using a variety of sensors and meters placed strategically throughout the facility, the EMS continually gathers data on energy consumption from different equipment, machines, and sections of the factory.
All the collected data is transmitted in real-time to a centralized dashboard. Here, factory managers or authorized personnel can view detailed reports, graphs, and analytics about energy consumption and patterns.
The EMS uses advanced algorithms, possibly integrating AI and data analytics, to process this data. It identifies trends, inefficiencies, and anomalies in energy usage. This information can be presented in daily, weekly, or monthly reports.
Based on data analysis, the system provides actionable insights and recommendations. For instance, it might suggest equipment calibrations, process changes, or maintenance tasks to enhance energy efficiency
If the system detects any sudden spikes, drops, or deviations from predefined energy consumption patterns (which could indicate an equipment malfunction or leak), it sends instant notifications to relevant personnel.
By analyzing historical data and monitoring equipment health, the EMS can predict when a machine is likely to fail or become less efficient. Maintenance can be scheduled proactively, avoiding costly breakdowns and ensuring machines operate at peak efficiency.
Modern EMSs are often designed to seamlessly integrate with other factory systems, such as Manufacturing Execution Systems (MES) or Building Management Systems (BMS), to provide a holistic view of factory operations and energy consumption.
Many factories operate under stringent energy regulations. An EMS can generate compliance reports, ensuring that the facility meets or exceeds all industry energy standards.