PLC Group AQue Platform for Predictive Maintenance through Artificial Intelligence


What is Predictive Maintenance

In AI or machine learning, predictive maintenance refers to the ability to use volumes of data to
anticipate and address potential issues before they lead to breakdowns in operations, processes,
services, or systems. Having strong predictive maintenance tools in place enables Organizations to
anticipate when and where potential breakdown can occur and move to respond to them to prevent
potential interruption in service.

Predictive Maintenance Vs Preventive Maintenance

Predictive maintenance is like preventive maintenance as both are termed as “scheduled
maintenance”. However, there is a greater difference and value when it scales down to predictive
maintenance due the model and power it entails in software and data analytics. However, one
should not confuse the power of the system with human intelligence that comes with relevant and
no. of years of experience.

Why is Predictive Maintenance important?

Implementing predictive maintenance enables Organizations to maintain critical for as long as
possible to ensure that systems remain operation. This allows Organizations to use their existing
data to stay a step ahead of potential breakdowns and disruptions and address the proactively
instead reacting to issues as the surface. PLC’s AQue Platform algorithms use raw data and convert
this into actionable intelligence for making informed decisions.

PLC Group’s AQue Platform is a powerful yet scalable software that has the capabilities to integrate
intelligent and non- intelligent assets deployed at mission critical facilities infrastructure to connect
virtually through SNMP/Modbus/MQTT or TCP IP protocols over the network. The health and
stability of an intelligent network demands a robust approach to predict challenges a site can
present and help the engineers plan a smart approach to keep the assets running by merely using
actionable intelligence for predictive maintenance.

Over the period of eight years, PLC Group developed one of the most advance platforms to help
Telco operators make critical and timely decisions that challenged their Capex and, in some
scenarios, OPEX spending. Customers’ savings in terms of time and investment were manifold in
relation to TCO (Total cost of ownership) The art behind AQue Platform is to gather, analyze,
process, and integrate asset optimization. By using advance algorithms, the Platform can keep a live
track of resources for their current, historical, and futuristic usage and showcase the data into one
single Dashboard for users to plan resource management of the deployed assets to prevent
downtime. Post analysis of the data is used to predict steps needed to optimize the network for
optimal efficiency, scalability, and future planning. Needless to say PLC’ AQue Platform stands at the
paramount of Actionalable intelligence for predictive maintenance of mission critical facilities

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