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Industry 4.0 & asset visibility

Asset monitoring solutions are driving Industry 4.0 revolution

Asset Monitoring Solutions in IIoT involves attaching or embedding IoT-enabled devices (i.e. sensors, RFID tags etc.) to machinery or other pieces of industrial equipment to make them “intelligent”.

These intelligent devices can then be connected to back-end systems, applications or cloud services via wireless connectivity in a mesh or star network. This makes it possible to continuously collect and analyze data generated to actively monitor pre-determined asset-specific information.

This enables users to continuously monitor conditions related to high value asset:

  • Quality
  • Performance
  • Damage of breakdown
  • Other environmental conditions

It provides Asset Monitoring solutions to users by allowing them to collect and analyze IoT data regarding pre-determined conditions.

Manufacturers can implement predictive maintenance based on equipment condition analysis and performance trends.

Predictive maintenance will help companies save $630 billion by 2025 by:

  • Reducing unplanned equipment downtime, which can cost upto $260K per hour
  • Cut the number of unnecessary maintenance tasks associated with a  schedule – based process
  • Minimise levels of wasteful production associated with sub-optimal operation
  • Providing access to new, actionable insights uncovered using advanced IoT data analytics

30% of manufacturers have already implemented IoT technologies for predictive maintenance and analytics while another 30% are interested in joining this new chapter of modern manufacturing, The 4th Industrial Revolution.

Are you ready ? Talk to our experts in Singapore and learn how to deploy asset monitoring solutions in your manufacturing unit, can leapfrog to adopt Industry 4.0 practices and save millions.

The post Industry 4.0 & asset visibility appeared first on IOT development company | IOT partner | Smart factory, Condition monitoring, Retrofit IOT solutions, IOT in Manufacturing, healthcare, warehousing.



This post first appeared on IOT Platform, please read the originial post: here

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