IOT based Predictive Maintenance Solution
AlphaCore focuses on IOT based predictive maintenance solution which adds value to the client’s existing set up by upgrading their machinery in minutes and helping them steer towards becoming a smart factory. This comprehensive solution is a combination of IOT, Big Data Analytics and machine learning that is deployed for industrial use.
We are a Global Industrial Edge Solution Provider for Mechanical Predictive Maintenance in the Engineering and Process Industries.
Vertically integrated, AlphaCore supplies Smart Edge devices along with Connectivity, Communication, Software Analytics, Dashboarding and reporting in order to provide a complete solution to its customers.
Most of the companies have skilled maintenance team members, but are constantly challenged to get an instant diagnostic insight for their critical equipment when there is a mechanical error. Usually, they would call a vibration expert to diagnose the issue which may lead to an unplanned production downtime. For the clients working with AlphaCore they have the unique advantage of their critical machine health being constantly analysed via our remote monitoring desk facility. Also, our CAT-3 level vibration experts are instantly available online to proactively provide and resolve any upcoming problem. This makes our IP model uniquely positioned in the area of Industrial IOT.
Case Study
We encounter unique cases on an ongoing basis for the customers where we have deployed our solutions. It provides a visibility to the live data of the client’s machine health and enables them to promptly engage with the necessary remedial actions. A classic example was with one of our clients, a specialty chemical company, where our IOT enabled sensors have been installed on the fan motor of a cooling tower. The live data monitoring of this machine helped detect the loosening of the foundation bolt around 4:30 a.m. and immediately notified the issue to the client via SMS and email alerts. Timely data alerts and the instant remedial action thus, prevented the unforeseen hazardous impact to the workers lives on site and the loss of productivity and revenue.
