Predictive Maintenance
Maintain full visibility
Predictive Maintenance
Maintain full visibility
Companies can anticipate, predict, and take action to maintain all assets operating as intended by knowing the downtime triggers, thus ensuring just-in-time maintenance.
– 30%
PRODUCTION COSTS DUE TO MAINTENANCE
25%
SAVINGS MAINTENANCE COSTS
USE POWERFUL DATA TO PREVENT DOWNTIME
Maintenance operations affect 15% to 40% of production costs, and unplanned maintenance activities being the primary reason.
Furthermore, performing the same maintenance intervention after an unexpected event costs 30% more than planning ahead of time, due to costs associated with production disruption, missed business prospects, and consumer trust.
With Alleantia, it is possible to collect telemetry data and to know in real time what is happening to your assets.
COLLECT DATA FOR PREDICTIVE MAINTENANCE IN JUST MINUTES
Alleantia makes use of its powerful driver Library, which contains 5.000+ drivers for machines, controllers, inverters, and sensors from a variety of bespoke vendors, as well as a free driver editor to create new drivers for their machines and production systems.
During runtime, the Alleantia drivers enable zero-coding connectivity to any device — from complex machinery to basic sensors — in a matter of seconds, and build a full and compatible digital twin for any piece of new or existing industrial equipment.
GET NOTIFICATIONS FOR JUST IN TIME MAINTENANCE
Using Alleantia platform, you get alerts and notifications via email and SMS for any measure, threshold, and device connected. You can also record data and produce reports almost instantly.
Finally, you can remotely control and verify the machine and system status. This all makes it possible to schedule maintenance work based on how well the company’s assets are doing.
EASY INTEGRATION WITH PREDICTIVE MAINTENANCE THIRD-PARTY APPS
Edge-to-cloud connectivity makes normalized data instantly available. Integrating and displaying acquired edge data on dashboards of third-party predictive maintenance applications becomes extremely simple.