Predictive Maintenance and IoT Remote Monitoring

Predictive maintenance is a technique that uses IoT remote monitoring tools to evaluate the performance and condition of an asset.

Predictive Maintenance is a critical part of IoT remote monitoring that identifies anomalies and predicts system failure before they happen then alerts operators so that service personnel can carry out preventive maintenance.

Unexpected machinery failure tends to be expensive. It results in unplanned downtime and can lead to secondary failures of other machine components, creating health, Safety, and Environmental risks.

Now organizations have started realizing the advantages of predictive maintenance over traditional maintenance activities. The global Predictive Maintenance Market size was estimated at USD 4.2 billion in 2021 and is expected to reach USD 15.9 billion by 2026, at a CAGR of 30.6% during the forecast period..

So how do the IoT and remote monitoring play a role in this? We’re going to see that in this article.

What is predictive maintenance?

Traditionally, maintenance activities are generally taken out in two various ways: at regular intervals or when the machine breaks down.

Maintenance is generally costly and unnecessary regular maintenance can add to a lot of wasted resources over time. And on another side, if you wait until a piece of equipment breaks down to repair it, it can cause increased downtime and loss of productivity.

Predictive maintenance gives a solution over these two; it minimizes unnecessary maintenance without the risk of unpredicted downtime. To do this, predictive maintenance solutions monitor equipment data. And with that data, these solutions give alerts when a piece of machinery requires maintenance.

How can you utilize IoT remote monitoring for predictive maintenance?

IoT connects devices and machinery to the internet and enables technicians to control and analyze them remotely. Industries can gather a huge amount of data about their devices using remote equipment monitoring. For example, by monitoring industrial devices and machines, technicians can see the performance of their machines from a remote computer. But these can also gather data about the equipment itself, showing a lot about its status.

Machine learning systems can discover patterns from the equipment data and raise alerts when there’s an issue.

Remote monitoring provides remarkable bottom-line business benefits. IIoT connectivity allows you to "see" equipment and machines and their operating state from any location, so your technicians can:

1. Remotely evaluate a concern, eliminating the need for a site visit.

2. Minimize product downtime.

4. Minimize onsite resolution time through remote diagnostics when a service person is en route.

5. Improve the probability that the issue will be rectified in a single visit, minimizing repeat trips by understanding the root cause of the issue.

The benefits of IoT remote monitoring in predictive maintenance contain:

• Minimizing long-term costs
• Improving machine uptime
• Simplifying the notification process
• Reducing service calls
• 24/7 monitoring

KNEO Automation provides a complete suite of Industry 4.0 solutions to conduct asset monitoring, gain insights and conduct predictive maintenance on essential assets, whatever your industry.

Need IoT Remote Monitoring in your facility? Get in touch!

Mrs. Shinde Seo and Digital Marketing Kneo Automation Pvt Ltd