Hosokawa Micron’s Machine to Machine (M2M) Remote Equipment Monitoring Solution makes it easy to diagnose impending equipment failure, schedule regular and appropriate levels of maintenance and minimise risk of non-planned production downtime
If you knew when your plant was going to fail, you’d do something to prevent it.
Hosokawa Micron’s Machine to Machine (M2M) Remote Equipment Monitoring Solution makes it easy to diagnose impending equipment failure, schedule regular and appropriate levels of maintenance and minimise risk of non-planned production downtime.
Utilising affordable, 24/7 remote equipment monitoring equipment we can detect developing equipment problems by tracking key variables and expected values for different products under different equipment operating conditions. Possible problems are flagged to site users or Hosokawa Micron technical support engineers by smart phone app for further investigation and recommendations.
‘This technology and the engineering and processing skills we can offer customers for improving production are relevant to both Hosokawa equipment and that of other OEMs. The expected customer benefits from improved remote condition monitoring and technical support are faster resolution of problems, decreased equipment downtime and more efficient operation of the plant and equipment,’ explains Iain Crosley, Managing Director, Hosokawa Micron.
Hosokawa Micron can offer a worldwide remote monitoring service – so whether your plant is located in UK, USA, SE Asia or anywhere else in the world, Hosokawa Micron's centralised, Remote Monitoring Service can assess the condition of either key equipment units or the whole plant.
Remote Monitoring Service offers a range of benefits including:
Hosokawa Micron has installed the Remote Monitoring system at its Toll Processing facility in Runcorn, UK Materials, which means processors and manufacturers can now see for themselves how the system can improve the performance of plant and operations by viewing on-line the real time displays, alarms and guided workflows for diagnosing and troubleshooting the potential equipment failure.