Case Studies.

Add Case Study

Our Case Study database tracks 8,303 case studies in the global enterprise technology ecosystem.
Filters allow you to explore case studies quickly and efficiently.

Filters
  • (2)
    • (1)
    • (1)
  • (2)
    • (2)
    • (1)
  • (2)
    • (2)
  • (1)
    • (1)
    • (1)
    • (1)
    • (1)
    • (1)
    • (1)
    • (1)
    • View all
  • (2)
  • (1)
  • (2)
  • (1)
  • (2)
  • (1)
  • (3)
Selected Filters
3 case studies
Sort by:
Cisco openBerlin IoE Center - relayr Industrial IoT Case Study
Cisco openBerlin IoE Center
Cisco IoE innovation Centers around the world enable and showcase local innovation and development. relayr had the unique opportunity to be involved in building the connected openBerlin infrastructure from the very beginning. In a building that was conceived from the outset to be completely monitored and controlled by smart systems, relayr set up the middle layer of connectivity – joining all of the separate legacy systems to allow meaningful cross-platform communication.
Download PDF
IIoT Enablement In The Elevator Service Industry - relayr Industrial IoT Case Study
IIoT Enablement In The Elevator Service Industry
The client is looking to generate higher value from the elevator data that is collected. Sensors and data include:Laser - position of the elevator carLuminosity - Level of light within the carUltrasound - Open shaft doorVibration - Acceleration of the car; vibration of the carMicrophones - abnormal sounds of the carAtmospheric Pressure - Air pressureHumidity - Shaft humidityTemperature - Shaft temperature 
Download PDF
Rethinking Machine Performance - relayr Industrial IoT Case Study
Rethinking Machine Performance
Machine uptime is one of the most vital performance factors for electric rotating machinery. In times when an hour of downtime can equate to thousands of dollars in losses, securing predictability turns into a high priority for all industrial businesses. Manufacturers operate in an extremely volatile environment, thus avoiding unplanned downtime becomes critical for achieving desired business outcomes. Predictive maintenance is no longer a nice-to-have but a necessity to survive and thrive in unfavourable conditions. Start from the basics. Making machines perform better means, first and foremost, understanding how the machine works, extracting relevant data, and gaining meaningful insights into ongoing processes. The power of the machine lies in utilizing its full potential.
Download PDF

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that Asia Growth Partners may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from Asia Growth Partners.
Submit

Thank you for your message!
We will contact you soon.