Bramidan

Iterator IT has developed and implemented a brand new web portal, serving as the foundation for Bramidan and their German collaboration partners, PRESTO's future IoT products. Additionally, we have also developed an online data collection system aimed at making the daily operations of the two companies' customers easier and allowing them to make faster and better decisions. This means that their customers will have a full IoT backend in Azure in the future and will be able to communicate with all their machines through the cloud.

The project covers all aspects of IoT, from data collection from machines, data processing to presentation and configuration through an app, and a web portal. The companies can now gather large amounts of data from their devices about both position, weight, and operational data from automated machines. All this data is collected through the Azure IoT Hub.

The technology used for this solution starts with some devices being able to communicate directly through MQTT with the IoT hub, while others use a Custom Protocol Gateway. Data from the devices is collected in an MSSQL database, which is the starting point for both a Web portal (developed in ReactJS) and an App (developed in Ionic Framework) for different users.

The system performs both real-time processing of data to enable notifications/alarms and respond to incoming values, as well as monitoring data for improved utilization of total capacity and performing "Predictive Maintenance."

Bramidan now offers its customers a way to control their Bramidan products more efficiently. This means that instead of the service truck coming to pick up the bales at fixed times during the week, their customers can now order pickup when the machine is full, based on the function that shows the fill level. Additionally, the machine can now give warnings when there is a problem. This means, among other things, that the machine can be serviced faster and machine downtime is avoided.

In addition to the new benefits for Bramidan's customers, Bramidan can now offer better and more personalized service. They are now able to provide better advice to their customers based on their data. For example, they can see if a customer has an oversized or undersized baling press or compactor, and they can offer them a machine that fits their needs.