Smoother operations by predictive maintenance
By collecting multiple data from the connected assets and systems, in real time, we are able to set a standard for normal behaviour at any given time for any given system or asset. Knowing the standard, our predictive maintenance system is able to trace abnormalities.
As a result our system can predict where, when and why deviations are likely to occur. Due to this insight in behaviour early warnings can be given, saving time and money and preventing failures to occur.
Like in any other industry, downtime of equipment causes a loss of revenue. Insight in parking behaviour helps predicting abnormal events so that measures can be taken in time. The insights are unlimited: for example it is helpful to know how many days your ticket printer of coin hopper will keep running, but also how the traffic outside will influence your parking location.
Parallels between many variables can be drawn, including those of public and third party sources. Predictive maintenance will smoothen the parking process.
Building & Infra
In building as well as infrastructure maintenance costs account for a large percentage of the total cost of operation. Predictive maintenance can reduce these costs up to 20%. Instead of making repairs on a predetermined calendar schedule, the predictive approach make repairs on the actual condition of the equipment.
Furthermore environmental data such as the path of the sun can preset the direction of the solar panels to their optimal angle, while the gutters direct water to where it is needed most. People flows predict heating or cooling needs. In short by predictive maintenance you never have too much or too little, and you are able to meet your CSR and sustainability targets.