In foundries where steel is cast, sandblasting machines are indispensable. They continuously process sand to create, break down, clean, and reuse molds. However, maintenance at fixed intervals is often inefficient: it leads to unnecessary work or misses developing defects.
What is needed to detect early problems in sandblasters?
With Vibration sensors (Neuron Vibration) Data on the condition of the sandblasters is collected in near real-time. By analyzing this data, normal patterns become visible and deviations are immediately recognized. Deviations in these patterns indicate potential malfunctions. Thanks to set thresholds, deviations are detected in a timely manner, allowing maintenance to be performed in a targeted and efficient way.
Graph: Practical example of vibration sensors on sandblasters in the steel industry
In the above case, the vibrations were stable for a long time, but began to increase considerably after June 19. The system sounded an alarm, warning the operators of an impending failure.
The result? Why invest in vibration sensors for sandblasters:
In steel mills, numerous blower fans operate to blow air into furnaces and exhaust fans to safely remove fumes. These installations are often difficult to access and are rarely checked manually. Nevertheless, they are crucial for a stable and safe production process.
This is precisely why they are ideal for getting started with digitalization and predictive maintenance.
With vibration sensors (Neuron Vibration), deviations in vibration levels are automatically detected. As soon as the values rise, operators receive an immediate notification. This allows them to intervene before a malfunction occurs.
Graph: Practical example of IoT vibration sensors on industrial fans
Why invest in industrial fan IoT sensors?
