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The networked scale - Bizerba Condition Monitoring Platform

Machines and systems should work trouble-free. Only in this way can they work economically, profit-oriented and contribute to a smooth process. Failures are disruptive and expensive.


How practical would it be if one knew in advance when which component of a machine would break - if one could order the required spare part in peace and quiet, make an appointment with the technician and carry out the repair at the scheduled time without stress? How would it be if one could already foresee possible failures? This is precisely the goal of predictive maintenance.

Project description

Bizerba is the market leader in weighing and cutting technology in the trade and craft sectors and is one of the world's leading specialists in the field of industrial weighing and marking technology. M&M and Bizerba have developed the "Bizerba Cloud Platform" based on the Microsoft Azure Cloud For the improved and simpler monitoring of the weighing and labelling systems used primarily in the food industry, Based on the operating data and sensor data recorded on-site for each machine, the Bizerba Cloud generates a virtual data image, ie a digital twin, of the system. The recorded data is analyzed and the possible result "predicted", i. e. future failures of individual components are detected early and the system reports them independently. This enables the service team to solve problems, e.g. caused by wear, before the machine fails. Long downtimes due to unplanned repairs are a thing of the past.


End customer benefits

  • Easy processing of service and spare parts orders through the central cloud platform
  • Reduction of downtime costs by minimizing unscheduled shutdowns
  • Current status and important information are available constantly and worldwide



Sector(s): Mechanical engineering

Customer: Bizerba

Development process: Agile


Applied technologies

The Bizerba Cloud Platform is based on the following Azure Services: Azure IoT Hub, Azure Blob Storage, Azure Table Storage, Azure CDN, Service Fabric, Azure SQL Database, KeyVault, Application Insight, Azure Monitor, Service Bus / Event Hub, PowerBI Embedded, Application Gateway, Logic App and Stream Analytics. The frontend of the application is a single page application based on Angular.