Solution Overview

This solution uses a combination of sensor and PLC data to monitor for and predict production cycle failures. Combining Cisco Kinetic Edge management with Cisco IR800 series IoT Gateways,  sensor technology and Microsoft Azure Cloud based IoT Services & Azure ML Studio this solution is able to process event’s locally and enforce local workflows if needs be, whilst giving a global view of the production and output using advanced analytics and machine learning to predict machine failure.

Customer Challenges

  • Pressure from customers and the business to increase productivity and output.
  • Very expensive to the business in the event of unplanned downtime.
  • Wide and varied mix of different production line machinery meaning a wide variety of protocols to manage and data formats to work with.
  • Need to improve OEE (Overall Equipment Effectiveness) values across the business.

Features and Benefits

  • Improve equipment uptime.
  • Optimise production.
  • Gain visibility into plant operations
  • Predict machine failure ahead of time.

  • Type of Asset
    Plant Machinery, Production Line, Packaging Line
  • Purpose
    Equipment Monitoring, OEE Optimization, Predictive Maintenance
  • Used Sensors
    Vibration, Temperature, Humidity
  • Protocol Integration
    Industrial Ethernet, ModBus, Profinet, Ethercat, IO-Link


Solution Number