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Predictive maintenance means taking a comprehensive, data-driven approach to servicing and repairing industrial equipment. Machinery like air compressors, filters, purifiers or industrial vehicles often play critical roles in the production process. Any sudden failure can result in significant operational disruption as well as major financial costs.
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Traditionally, companies have had very little insight into how well their equipment is operating, and so are forced to schedule regular maintenance visits.
By leveraging the Industrial IoT, companies can take a precision approach to maintaining their assets. Connected sensors provide operational data on each machine, allowing technicians to predict when an internal component might fail. As a result, companies can optimize their repair cycles, and service equipment only when needed.
IoT devices are able to collect detailed data from industrial equipment, including indicators like acceleration, temperature, humidity, pressure and proximity to other machinery. They then send this information in real time to a back-end analytics tool, using cellular networks or fixed line internet connections. The management team can then collect and aggregate operational data from across its entire equipment fleet. By using AI/machine learning techniques, the team can analyze key metrics and determine how individual assets and components are performing, while detecting anomalies that could cause system failure.
We help you connect your industrial assets and unlock the power of data. Most industrial machines have some form of rudimentary data interface. However, they are not able to collect detailed operational information and feed it through to a centralized, cloud-based system for analysis.
By using the industrial IoT to monitor how their equipment is performing, companies can replace components before they fail, cutting the risk of unscheduled downtime for key assets.
By reducing the number of truck rolls, companies can cut down on their maintenance costs, while still ensuring equipment is running at optimal levels.
If a piece of equipment fails unexpectedly, then field engineers can visit the site already prepared with data on how the machine has been operating down to the component level. This can increase the first-time fix rate and decrease repair times.
Better and more timely maintenance can extend the equipment lifecycle, which is vital in a time when many companies are looking to postpone new purchases and reduce capital expenditure. By getting more value from their assets, companies can improve their balance sheets.
Through analyzing machine data, engineers can get a granular sense of how a piece of equipment is performing. They can then re-configure the asset to increase throughput or improve efficiency.
Ensuring security for Industrial IoT applications can be challenging, as new threat actors constantly emerge. Semtech provides end-to-end data security from the edge to the cloud. By giving companies more control over their connected assets, we can help prevent them from becoming weak points in the security chain.
With predictive maintenance solutions, companies are able to engage in real-time monitoring for their assets. This gives them an up-to-date view on performance and allows them to move quickly if any issues arise.
Monitoring connected equipment provides a host of raw data that companies can exploit. By using predictive analytics/machine learning, they can forecast the performance of their industrial machines, reveal important insights and anticipate issues ahead of time and schedule a service. They also have a more accurate idea of how long equipment will operate for before it needs replacing, which is vital information for a company’s long-term financial planning.
Atlas Copco, MANN+HUMMELL, Girbau and some of the world’s leading industrial companies rely on Industrial IoT solutions by Semtech to spearhead their data-driven transformation.
From devices, connectivity, device and subscription management tools to all-in-one edge-to-cloud solutions, we offer products and services to extract, process and transfer critical machine data from your industrial assets to the cloud. Whether you want an all-in-one Industrial IoT solution or build your own solution, we offer a range of choices to bring your Industrial IoT application to market.
Use our all-in-one edge-to-cloud solution, to connect your industrial assets to the cloud. Octave integrates all the components – from edge devices to cellular connectivity, device and subscription management to cloud APIs – of your Industrial IoT infrastructure into one solution so you no longer have to build your IIoT application from scratch. According to Forrester, Octave helps customers develop and scale their IIoT application at a fraction of the cost, and accelerate their time-to-market by nine months on average.
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