The no. 1
Remote asset management, incident prediction and maintenance planning are all within reach with our out-of-the-box cloud solution conNXT, which has been designed specifically for predictive maintenance, asset management and remote monitoring.
Asset Management made easy
Many machines and systems come with built-in sensors. However, the data collected from these sensors is not always read in real time. conNXT therefore developed a plug-and-play solution based on the Microsoft IoT Suite reference architecture, which can remotely read, collect and analyse the sensor data in our IoT cloud. Why reinvent the wheel when you have a secure, scalable platform at your fingertips that is easy to deploy, and that can effortlessly load data from various sources?
How does the process work?
No matter the type of data – be it sensor data from trains, boilers, machines or systems – your process should always contain these four steps:
2. Analyse
The sensors collect many different data points. Sometimes all you need is one value to find the answer you need, while in other cases you might need a whole dataset to determine whether a device is working properly. The conNXT analysis platform is designed to analyse aggregate data from multiple sources to identify the actual cause of a failure.
3. Real-time control
You are immediately notified if an asset performs poorly, and you naturally want to remedy the situation as soon as possible. While certain components can be controlled remotely, you may need a service engineer to do the rest. You have it all at your fingertips thanks to the convenient integration with mobileNXT.
4. Predict
Imagine being able to track all events in real time. Now imagine using those events to predict the future. The conNXT analysis platform can link various data types and use it to provide predictive maintenance advice. For instance, it will recommend servicing cold-sensitive equipment when cold weather is on the way.
Monitoring ánd managing
Hytech uses our platform to manage and monitor its digital scales, which are located at as many as 3,300 PostNL sites.
The service engineers who install new scales and service the installed base have a mobile app that uses predictive maintenance to indicate which scales need service and when. This has led to incredible improvements: both the back-office workload and incidents have been reduced significantly.
An IOT-solution for boilers
We provided Remeha, a manufacturer of water and space heating systems, with an IoT solution that enables remote reading of boiler data.
Routine servicing can now be replaced by predictive maintenance. If a boiler does need to be repaired or serviced, the engineer can check its status on their mobile device, assess the situation and arrive on site with the right equipment and parts to fix it.
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