Condition Monitoring System uses machine learning and Artificial Intelligence.
Press Release Summary:
Consisting of sensor beacons, BluFi gateways and Bluzone cloud, Condition Monitoring System is used for predicting motor and equipment failure. Beacons can be attached to motors, conveyors, rollers, bearings, gear boxes and pumps. Enabling users in reducing maintenance and operation costs with predictive maintenance, system’s Bluzone manages both beacons and BluFis for tracking telemetry information on assets.
Original Press Release:
Bluvision Announces Machine Learning-Enabled Condition Monitoring Solution for All Types of Electric and Mechanical Devices at Hannover Messe 2017
Bluvision, a part of HID Global, announced their advanced, device agnostic, Condition Monitoring solution at Hannover Messe, 2017 – the World's largest manufacturing industrial technology trade fair. The new solution uses machine learning and Artificial Intelligence (A.I.) to predict motor and equipment failure. The solution tracks an asset's multiple states of motion and develops a performance profile, using Bluvision's end-to-end platform – sensor beacons, BLE to WiFi (BluFi) gateways and Bluvision's cloud solution, Bluzone. Depending on an asset's health, user-defined real-time alerts can be set up to communicate not only the asset's current status but also if that asset's health is degrading and is predicted to need attention.
With Condition Monitoring fast becoming a requirement for Industry 4.0, Bluvision's solution allows factory and maintenance operations to lower their operation costs by focusing on Predictive Maintenance while reducing down-time to a minimum. Bluvision's Condition Monitoring solution requires minimal infrastructure and no servers or wired infrastructure, just sensor beacons and BluFis. The beacons are device agnostic and can attach to any asset including motors, conveyors, rollers, bearings, gear boxes and pumps. The intelligence is in Bluzone Cloud that manages the sensor beacons and the gateways, tracks telemetry info on the assets and provides the machine learning / A.I. logic.
"Using A.I., allows a user to track low-cost assets including bearings or rollers and truly understand when the specific asset will fail," said Jimmy Buchheim, CEO, Bluvision. "This is also the first time that a factory with thousands of motors and other assets with motion can be tracked concurrently, addressing the issue of scalability."
To learn about the A.I. enabled Condition Monitoring solution or to see the demo, visit Bluvision's booth at Hannover Messe – Hall 8, Booth # A29/1 and at Hall 9, Siemens, MindSphere Lounge. info@bluvision.com
About Bluvision
Bluvision is leading the innovation in the IoT space as market leaders in sensor beacons; software driven, highly-accurate RTLS; and the pioneers of achieving cloud connectivity without the need for smartphone applications. Bluvision's advanced architecture provides enterprises scalable solutions for tracking the location, health and performance of assets and employees. For more information, visit www.bluvision.com
