Modern production and building services equipment found in industry and commerce supplies its users with important information about its operating status. The trend towards digitalisation means that this information is increasingly often recorded and made available in databases.
With proper analysis, the time series can be used to deduce key information concerning use of materials, wear and faults.
Highly efficient AI algorithms enable analysis of the complex interplay of different operating parameters in order to draw conclusions about the status of the manufacturing plant.
Optimising the use of materials
If a critical operating status is detected, alarms will be triggered. Shift or production managers will be alerted when certain tools or production components need to be replaced or repaired.
The objective is to keep tools and wear parts in operation for as long as possible. The system will inform users when it makes the most financial sense to replace a particular part. In comparison to routine replacements, which are often carried out too soon, this can reduce production costs considerably.
The mondas® IoT platform enables efficient monitoring of operating parameters such as periods without downtime, temperatures or the rotational speed of production and supply equipment, ensuring more energy-efficient and economical production with fewer interruptions.
High performance required
To carry out data analysis, an extremely high-performing IoT system is needed. A large number of signals have to be recorded and processed in real time, often with high temporal resolution.
We offer comprehensive support with condition monitoring, from identifying suitable reading points and sensors, to providing data loggers as edge devices, to creating and implementing an adapted analytics procedure.