Using doors openings monitoring to prevent a breakdown

Dozens of elevator companies trust uptime to better track their portfolio, allowing smart maintenance and enhanced repairs. Our product covers all their needs, from predictive maintenance to real-time monitoring. Today, let’s find out how doors status can be used to spot a possible malfunction.

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Operations Field Engineer


An elevator at one of our customers’ buildings, equipped in June 2021, was showing a rather strange behaviour. The company’s field engineer was unable to identify the issue. The cabin arrived on the 2nd floor and kept opening and closing its door repeatedly. We were also getting a lot of « phantom calls » from other floors.


Traffic data overview:

Here is  the general overview we were able to get, thanks to uptime’s IoT device: we immediately noticed a big increase in door openings traffic from June 23rd. The biggest peak takes place on June 28 with nearly 5000 openings (including 4850 on the 2nd). Moreover, the elevator showed an inconsistent ratio of door openings/runs (up to 2000 openings per run). Also, the data indicates that all these events were concentrated on the second floor. This demonstrates a communication failure between the doors components and the main elevator controller, causing a misunderstanding of the system. It affects the behaviour of the doors, which open and close discontinuously until a floor is selected or a cabin call is made from another floor. 


🚪 Number of door openings per day:

🏢 Number of door openings per floor and per day:

⚠️ Faults analysis

We noticed a peak of ‘cabin delayed’ alerts. This is a status which is not normally taken into account because this informative message just lets you know that the cabin has remained on the level longer than expected instead of returning automatically to the ground floor.

‘door time open’ status rise is observed, specifically on the 2nd and 7th level. This status is a blocking one after three consecutive opening failures: it means that the door took longer to open than the configured time, so there is a problem. It is more critical than the closing time status because it is not subject to user action.



According to the defaults observed through uptime’s data visualisation and supported by the field engineer on site, the common point between all anomalies is the serial communication. It links the sensor cards, the buttons, and the door operator to the controller. According to our analysis, here are the possibles anomalies:

one sensor card is out of service (possibly because of corrosion if there is humidity),
the line terminator is out of service (possibly also because of corrosion),
the serial line itself is dysfunctional.

Our recommendation to the field engineer was to inspect the remote cards of the floor generating the anomalies.


Visual inspection on site:

Indeed, multiple of these factors were actually causing the malfunction:

the pit was completely flooded,
the line terminator was out of service because of long exposure to humidity and corrosion,
the serial line itself was dysfunctional, with wires in bad condition.

IMG_2599 IMG_2595 IMG_2603


 The line terminator and other corroded components were replaced, resolving the problem, thus proving the veracity of the analysis provided by uptime.

Without uptime’s key information, the field engineer would have lost precious time trying every possible malfunction source before finding it.


How does our technology harvest the traffic data?

uptime has developed the only universal IoT device that connects directly to the lift control board, with a single cable. We collect more than 7,000 events per day per lift, in real time.

With our database of more than 1.8 billion data points generated every year from hundreds of our IoT devices, monitoring 200 touchpoints from each elevator, our algorithm is able to predict malfunctions with unmatched precision.

Our seamless operations management tool allow maintenance supervisors using uptime to access real-time park monitoring and alerts: traffic, statistics and anomalies detected.

Learn more


Lift maintenance providers are going digital: what do end customers think?

A survey conducted by YouGov for uptime showed that 30% of people think that the poor functioning of lifts and frequent breakdowns would prevent them from buying or renting in a building if they were to live on the sixth floor. Our teams at uptime have developed an IoT* technology that helps maintenance companies make their digital transition a success. This unique solution assists technicians in order to avoid breakdowns. From building occupants to owners and property managers, what do end customers think of this new technology and how does it impact their daily lives? *IoT: Internet of Things  

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  • Number of lifts under portfolio
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  • 1000-5000
  • > 5000
  • Number of lifts under portfolio
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  • 1000-5000
  • > 5000
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