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MAESTRO

Axians IoT Rotterdam

MAESTRO

Axians IoT Rotterdam

MAESTRO is a Azure based IoT platform for smart asset management and predictive maintenance.

IoT platform MAESTRO

Access data from machines quickly, safely, and easily and connect to a platform with a dashboard.

Maestro is an IoT platform developed on Azure components that provides end-to-end integration across operational, strategic, and tactical data flows. For example, sensors and machines can be managed and monitored remotely, alarms and notifications can be generated and there is a dashboard to make all this transparent for users.

Why MAESTRO?

With MAESTRO you can manage your assets in a smart way, remote monitor all your machines, and carry out updates at the touch of a button.

For example, you can advise your customers on the best product composition or how they can use machines better and more efficiently. With predictive maintenance you are able to perform smart maintenance by looking ahead, so you can support your customer as much as possible and increase the uptime of your machines. The application of MAESTRO can ensure that your customer no longer pays for the machine that they purchase, but pay-per-use.

MAESTRO platform makes it is possible to enrich data from, for example, ERP,- CRM,- EAM-, or MES-systems with real-time operational data. This creates a total overview of the available data from your organization and allows you to achieve optimum efficiency.

It is possible to integrate MAESTRO for this and connect it with, for example, a current data lake. All necessary operational data for analysis and process improvements can be transferred from MAESTRO to the existing data lake.

Some other advantages of MAESTRO:

  • A safe and scalable solution
  • Calculate the effects of production decisions with a Digital Twin
  • Extensive Analytics Capabilities with Machine Learning
  • Management modules for API’s, users, and assets
  • Responsive design with integrated IoT Edge technology
  • 24/7 support in case of malfunctions and assistance with implementation and use
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