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elunic - professional services for the connected industryHow is data collected for predictive maintenance?

How is data collected for predictive maintenance?

Data for predictive maintenance is collected by sensors, IoT devices and machine monitoring systems. These collect information such as temperature, vibrations, pressure and more to monitor the condition of the equipment. The collected data is then analysed to predict potential problems and maintenance needs.

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          With the shopfloor.io asset ping, you can connect existing machines in the field, record and visualise machine data, distribute digital services and increase your after-sales.

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