Bluvision Partners with Siemens to Deliver One of the First Industry 4.0 Condition Monitoring…
FORT LAUDERDALE, FL - November 28, 2017
“Bluvision and Siemens bring together a very compelling mix of value, implementation speed and global-scale condition monitoring solution to enable global companies to achieve the promise of Industry 4.0.”
In the CPG company’s facilities, Bluvision’s BEEKs™ Industrial sensors provide real-time visibility into the condition of critical motors that run various operations of the facility. The facilities receive continuous streams of telemetry data on these mission critical motors, and also get notified with real-time alerts when an anomaly from the known-normal operating state is detected. Along with enabling predictive maintenance and reducing downtime through a low-cost, minimal infrastructure solution, the application also provides the customer with a holistic solution.
“The notion of Industrial IoT driving value to companies on a global level has long been the promise of Industry 4.0,” said John Sailer, COO, Bluvision. “Bluvision and Siemens bring together a very compelling mix of value, implementation speed and global-scale condition monitoring solution to enable global companies to achieve the promise of Industry 4.0.”
Bluvision will demonstrate the Autonomous Condition Monitoring Solution at SPS IPC Drives 2017 at Hall 11 – MindSphere Lounge (Nov 28 – Nov 30) and AWS Re:Invent at MFG Aclove, The Venetian (Nov 27 – Dec 1.)
To learn more about Bluvision’s solutions or to request a demo, email info@bluvision.com.
About Bluvision
Bluvision’s end-to-end IoT platform which consists of sensor beacons, Bluetooth to WiFi gateways (BluFis) and the Bluzone cloud solution, is built to scale to millions of connected units (or objects) and manage and monitor networks of tens of thousands of assets. Bluvision’s real-time location system is used for tracking assets with industry-leading accuracy with features, including heat maps, geofences and flexible policy creation. Bluvision uses machine learning, artificial intelligence (A.I.) and telemetry data to determine equipment health and enable proactive maintenance actions. (bluvision.com)