From reactive lift operations to proactive early warning – how Heba digitized its lifts
Download WhitepaperTo property ownersProactive maintenance in practice
From gut feeling to fact-based decisions
Orion gives management two things: early signals when a lift starts to deviate from its normal pattern — and hard data to underpin planned maintenance.
Early signals
"Right now I've opened and closed the doors 10 times more often on floor 2 than I usually do — maybe there's grit in the tracks. Come and remove it before I get a breakdown."
— The lift, floor 2reported via SafeLine Orion
Deviations are caught before they become breakdowns — instead of an unnecessary call-out, it becomes a planned action.
Decision support
Door B on floor 1 accounts for the lion’s share of all openings
251,643 openings for door B versus 97,205 for door A — confirmed with data, not gut feeling.
Used almost exclusively — this is where maintenance is directed
“We make sure we are always on the ‘right side’ of the problem — which over time both reduces wear and extends the asset’s lifespan.”
— Fredrik Melander, Property Manager & PropTech Coordinator, Heba Fastighets AB
The insight is used today to prioritise planned maintenance where the wear actually occurs.
Are you a property owner and want to learn more about how SafeLine Orion and Lyra can ease your lift maintenance?
Case Study · Real Estate · Sweden · Heba Fastighets AB
Connected lifts 2025
Planned installations 2026
Continuous monitoring
24/7
The Challenge
Reactive operations — waiting for things to break
Traditionally, lifts in buildings operate until something goes wrong — only then is a fault reported, often requiring emergency service. Property managers work reactively, leading to inefficiencies, costly call-outs, and a lower quality of service for tenants.
“Today, you basically know the lift is working until it suddenly isn’t. Then a fault is reported, often urgently. It’s a very reactive way of working.”
— Fredrik Melander, Property Manager, Heba Fastighets AB
The Solution
IoT sensors, machine learning, and early warnings
Heba tested an IoT solution where five lifts were equipped with wireless sensors. Using machine learning, the system creates a baseline profile for each lift — enabling it to detect deviations and trends with high precision.
Vibration & movement sensing
IoT sensors measure lift movement and vibrations continuously, capturing data that reflects the mechanical health of each lift in real time.
Automated downtime logging
Every stoppage is automatically recorded and timestamped, eliminating manual reporting and creating a reliable audit trail.
Cloud data pipeline
All sensor data is securely transmitted to the cloud, enabling centralised monitoring and long-term trend analysis across the entire portfolio.
ML baseline & early warnings
The system learns each lift’s normal behaviour. When deviations emerge, early warnings are triggered — before faults cause disruptions.
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See how Heba Fastighets AB moved from reactive lift operations to proactive early warning with SafeLine Orion — including the data, the challenges, and the outcomes.
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Results & Business Impact
From pilot to portfolio-wide rollout
The pilot demonstrated clear, measurable benefits. Heba received early deviation signals before operational disruptions occurred — enabling proactive intervention and fact-based dialogue with the lift contractor.
Ready to digitize your lift portfolio?
Join property managers already using Orion to shift from reactive to proactive.
For property owners
Do you manage a lift portfolio?
See how SafeLine Orion helps property owners move from reactive to proactive lift operations.
Resources
Predictive vs preventive lift maintenance: what is the difference?
EN 81-28 explained: lift emergency phone compliance in the UK
EN 81-28 governs lift emergency telephone compliance across Europe. What it requires, who is responsible, and how to
prove it continuously.
