ThyssenKrupp Elevator (TKE) is the largest producer of elevators in the Americas, providing and maintaining more than one million elevators around the world. TKE wanted to transition to a more proactive and predictive maintenance approach driven by real-time data and rich, valuable insight. CGI was brought in to design, build and implement an insight-driven elevator monitoring system pilot that leverages the latest Internet of Things (IoT) technologies and is helping ThyssenKrupp to achieve its strategic maintenance objectives.

The Challenge

TKE had a number of initiatives around the world to allow remote monitoring of their elevators. However, none of the solutions provided the data and insight required to move from a traditional reactive maintenance approach to one that is predictive and even preemptive and all suffered from issues with information overload that limited their value. TKE wanted a solution that would enable it to anticipate and quickly resolve maintenance issues for the majority of the 1.2 million elevators it services across the globe. Above all they wanted a system that would present the engineer with options.

The Solution

CGI’s development team built a pilot, cloud-based elevator monitoring system using Microsoft’s Azure IoT Cloud Services, Machine Learning (Azure ML), HDInsight and our own Intelligent Enterprise Framework (IEF), which facilitates the rapid deployment of IoT applications. This solution took only 8 weeks to implement, highlighting the fast speed to market.

Integrated with TKE’s elevator sensors , the system harnesses data from each device, processes the data using business rules defined by TKE, and generates rich data insight using predictive analytics. The resulting insight is then made available to supervisors and site technicians via two different user interfaces in the form of maintenance alerts, instructions and recommendations.

Once trained from historical data the system is then augmented by feedback each time an Engineer is on site. This allows the system to become more accurate over time.

“We wanted to go beyond the industry standard of preventative maintenance to offer predictive and even preemptive maintenance, thereby guaranteeing a higher uptime percentage on our elevators.”
Andreas Schierenbeck, CEO, ThyssenKrupp Elevator AG

Benefits Delivered

  • Strong predictive analytics that generate rich, valuable insight
  • More proactive, predictive and preemptive maintenance
  • Reduced downtime
  • Improved cost forecasting, resource planning and maintenance scheduling