The opportunity pursued by our customer, a global industrial OEM, was a monitoring solution that would enable a proactive service model vs. the reactive service model industry norm. The proactive service model supports response to problems before an equipment failure, rather than after costly downtime is incurred. Delivery of detailed monitoring data simultaneously to the end user, service technicians, and customer operations management is a key advantage.
This strategic IoT use case highlights the numerous benefits possible when IoT is made integral, in this case, to the industrial equipment product by actually being built-in at the manufacturing stage.
The customer made initial IoT progress with their internal IT staff, yet in further defining their needs, determined internal resources, alone, would be inadequate.
The Losant Enterprise IoT Platform and the sophisticated Losant Edge Agent were ideally positioned to meet critical needs stated by the customer: individualized “views” of the data, simultaneously delivered via a single application to three distinct customer/receiver areas:
- End Users: Providing a timely and detailed monitoring dashboard
- Service Technicians: A Service portal, detailing operating conditions for internal and external service personnel
- Operations Management: Identifying trends, areas of need or opportunities
With Losant’s application platform and involvement, the IoT equipment monitoring solution the customer completed delivers fully on their original objectives and criteria. Data is collected from dozens of embedded sensors and uniquely visualized for each of the three customers/receivers. Losant provides ability to build multi-tenancy applications — a key differentiator — ensured access to unique views of the data tailored to the business needs of each receiver category. When needed, variable configurations of the data to individual audiences within each category can be implemented.
In addition, the Losant Edge Agent enables new device enrollment at the user level, and continuously reports on equipment condition, utilizing three status levels updated in 5 to 25-minute intervals depending on the mission-critical level of the equipment:
- Status Good
- Warning
- Critical Warning
Visualized data, metrics, and trends at the individual unit or facility level are shared via a single application as separate user experiences based on individual needs across equipment users, service technicians, and operations management. Transparency of the data reduces response time by eliminating discrepancies, questions, and cumbersome reporting and service scheduling steps.