Is there a simple condition monitoring solution for industrial machines?
Yes, the DATAEAGLE Condition Monitoring System from Schildknecht AG is quick and easy to install in line with the motto ‘IoT-ready-to-use’.
We have specially designed our systems to be flexible and easy to use. For example, no integration is necessary and the multi-sensor can be easily attached to the machine thanks to the magnets. To keep the installation effort low, the gateway uses wireless communication, such as mobile radio, to send the status data to a cloud portal.
You can attach the multi-sensor directly to the motor or machine to be monitored. It transmits the data via Bluetooth Low Energy to the DATAEAGLE 2730 IoT Gateway, which can receive data from up to 8 sensors simultaneously. On the gateway, the data is pre-processed, e.g.: Alarms are detected, and then sent via a wireless 3G/4G connection to the cloud, where they are stored and available for visualisation and analysis in the DATAEAGLE portal.
The DATAEAGLE Cloud Portal contains a customisable dashboard that provides an overview of the incoming sensor data. Here you can analyse the data, if necessary with free support from our experts. Depending on the use case, you can set different intervals for the transmission of sensor data to the cloud or set alarms for individual sensors.
– About the product: DATAEAGLE Condition Monitoring System
Why implement condition monitoring?
Condition monitoring can increase the productivity of your machines and systems by preventing machine failures. For example, measure the vibration of your motor, the temperature or the moisture on machine parts. With the DATAEAGLE Condition Monitoring System from Schildknecht AG you can measure vibrations / acceleration, movements, magnetic flux, digital light, pressure, noise, temperature and humidity. The system is quick and easy to install.
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What is Condition Monitoring?
Condition monitoring is the regular or permanent recording of the condition of a machine by measuring and analysing physical variables, e.g. vibrations of a motor, temperatures, or moisture on machine parts. The aim is to increase productivity through predictive maintenance and thus prevent machine failures and plant downtimes