SORBA IoT Case Studies Automated Predicitive Analytics For Steel/Metals Industry
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Automated Predicitive Analytics For Steel/Metals Industry

SORBA IoT
Automated Predicitive Analytics For Steel/Metals Industry - SORBA IoT Industrial IoT Case Study
Analytics & Modeling - Predictive Analytics
Application Infrastructure & Middleware - Data Exchange & Integration
Automation & Control - Programmable Logic Controllers (PLC)
Functional Applications - Enterprise Asset Management Systems (EAM)
Sensors - Pressure Sensors
Metals
Maintenance
Predictive Maintenance
AMQP
MQTT
PROFIBUS

Asset to be monitored: Wire Compactor that produces Steel Rebar

Customer Faced The Following Challenges:

  • Dependent upon machine uptime.
  • Pressure cylinders within the compactor fail to control compression and speed causing problems in binding the coil.
  • Equipment failure occurs in the final stage of production causing the entire line to stop, can you say bottleneck?
  • Critical asset unequipped with sensors to produce data.

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A Steel Manufacturing Plant Produces Ponstruction Grade Rebar. 24 Hours a Day, 7 Days a Week, Scrap Metal is Converted into Steel. Each Year the Plant Produces 1.1 Billion Pounds of Steel Rebar Used in Concrete. That’s Enough Rebar to Circle the Glo
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Undisclosed
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The Results:

  • SORBA-SDC (Smart Data Collector) connected to a Siemens PLC, collecting months of time series data to analyze behavior of equipment.
  • Eliminated unplanned downtime for critical plant assets.
  • Improved asset utilization rates, thus optimizing or reducing CapEx/OpEx costs.
  • Minimized cost but not engaging IT personnel to connect into the enterprise network.
  • SORBA does not require any firewall ports to open.
  • Detected anomalies with lead times up to 20 days. Correlated all potential issues with work order events.
  • Achieved an operational savings, in one application, of over $100,000 annually at just one site.
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Downtime, Equipment Status, Fault Detection, Machine Performance, Process Procedure
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[Cost Reduction - IT]
Minimized cost but not engaging IT personnel to connect into the enterprise network.
[Data Management - Data Collection]
SORBA-SDC (Smart Data Collector) connected to a Siemens PLC, collecting months of time series data to analyze behavior of equipment.

Achieved an operational savings, in one application, of over $100,000 annually at just one site.

Detected anomalies with lead times up to 20 days. Correlated all potential issues with work order events.

Eliminated unplanned downtime for critical plant assets thus Improving asset utilization rates while also optimizing/reducing CapEx/OpEx costs.

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