Litmus Edge connected disparate devices, collected, normalized and analyzed the data, and then integrated with Azure IoT Hub for further processing in the cloud. Models are then sent back to Litmus Edge for continuous improvement through the Azure Container or Litmus Edge Manager, a centralized management system for all edge deployments.
Heterogeneous environment.
Lack of visibility into shop floor for enterprise teams.
Multiple sites globally.
Connected and collected data from a myriad of industrial systems in a matter of days, shared data across OT and IT teams.
Anomaly detection for quality checks.
Automated work orders.
Moved from reactive to predictive to prescriptive maintenance.
Litmus Edge on virtual machines in each plant data center.
Data sent to Azure Cloud and Oracle Maintenance System.
Litmus Edge Manager deployed in the cloud.
Plant visualizations and local processing on Litmus Edge.
