Ensure lift reliability through digital technologies
TÜV SÜD's Lift Manager is an independent predictive maintenance service that leverages on TÜV SÜD's lift domain and digital expertise and Bosch.IO's lift sensors and IoT platform to support your lift operation and maintenance.
The predictive maintenance service can be used with lifts of any age, brand and model, including existing lift in service. It can also be used with a group of lifts with different brands and installation locations. The lifts’ data will be sent to a single platform and analysis will be done to detect anomalies, interpret defects and recommend actions to be taken based on Remaining Time to Downtime (RTD).
By having a predictive maintenance regime to anticipate the failure point of the lift components and replace these components before they fail, you can minimise the lift downtime and maximise the lifetime of the lift components. This will also greatly reduce the need for routine manual lift inspection and maintenance. Therefore, reducing the labour and maintenance costs in the long run. Using data collected over 30 years during lift inspection and certification, the predictive model can detect patterns and failure points with high accuracy.
Our experienced team behind the Lift Manager will support you in every aspect of the implementation. Need help or have any questions regarding predictive maintenance for lifts? Get in touch with our team today.
Besides Lift Manager, TÜV SÜD also provides lift services such as conformity assessment certification, safety inspection, vertical transportation consulting, smart lift and other digital services. As an internationally established brand, TÜV SÜD can support your lift operation on a global scale. You can leverage on our world-class reputation and expertise to demonstrate your commitment to safety and reliability.
Lift sensors are installed to monitor lift health
Our expertise in functional safety for lift operation and maintenance ensure that the locations of the lift sensors are carefully selected and safely integrated.
Our high accuracy predictive model algorithms analyses lift data to avoid possible lift failures
The high accuracy predictive lift model is based on more than 30 years of lift inspection and certification experience, with more than 300,000 inspection performed each year.
Monitor lift condition by anomalies detection, defects interpretation and recommended actions
Lift operation data is collected by the lift sensors and analysed in real time. Lift Manager’s predictive maintenance module prompts an alert to the dashboard according to Remaining Time to Downtime (RTD) when a potentially abnormal process is detected. This results in a more efficient lift maintenance regime, reduced lift failure rate and downtime.
Read the Lift Manager whitepaper to get an in-depth understanding of how data analytics can elevate your lift business to the next level of effective efficiency using predictive maintenance.
Download the brochure to get a comprehensive overview on how Lift Manager can value-add to your lift operation.
Watch the on demand “Digital Transformation of Lift industry with Predictive Maintenance“ webinar where we share insights on lift predictive maintenance to ensure the safety and reliability of your lift operations and minimise cost and downtime related to unplanned lift breakdowns. Get to know how Lift Manager provides full transparency of your lift operations and maintenance and bring about a digital transformation in the lift industry. With Lift Manager, building owners, operators and regulatory bodies can now shift from a reactive to proactive approach.
Lift Manager is a proven solution to your problems faced during existing lift operation and maintenance regime. It has been installed in TÜV SÜD @ IBP, our new ASEAN Headquarter in Singapore and retrofitted into the lift system of a research and business park in Singapore.
How data analytics elevate your lift business to the next level of effective efficiency
Find out how Lift Manager provides the highest lift safety and reduces lift maintenance and repair costs in TUV SUD’s new ASEAN Headquarter
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Bosnia and Herzegovina