IoT-based predictive maintenance for the energy sector
Optimising equipment can be hugely beneficial to all sectors – but in energy, where the value of projects is often so high, this is especially important. It’s estimated that an hour of downtime can cost more than $2mn – so having in place a system that can enable robust predictive maintenance has a huge return on investment potential.
Not only is uptime critical for end users, but increasingly so for equipment manufacturers themselves. Where equipment fails, those hiring it may not get paid – while users miss out on the required service.
A lose-lose situation, and a very expensive one at that.
Remotely monitoring equipment and collecting the data required to build a predictive maintenance tool, application or digital twin is paramount – but in areas with patchy connectivity, there’s no guarantees.
Krucial CONNECT – ultra resilient connectivity
Krucial CONNECT harnesses the power of IoT and satellite technology to provide continuous insights into asset health.
Its hybrid connectivity system utilises cellular and multiple satellite backhauls to transmit IoT data to the cloud – switching automatically depending on availability – meaning if cellular goes down, data still flows.
On remote sites, this is critical, and can be the difference between downtime and uptime – and millions of dollars.
Proactivity is key
The proactive nature of IoT predictive maintenance is its cornerstone. Through the establishment of customisable thresholds and alerts, decision-makers gain the ability to anticipate potential issues before they escalate, facilitating timely interventions and minimising downtime.
From a broader perspective, the implications of IoT predictive maintenance extend beyond individual assets to encompass entire energy platforms and sites. By aggregating data from diverse sources and centralising monitoring through a single system such as Krucial CONNECT, users can simplify IoT deployments and ensure they have the most efficient solution possible.
To learn how Krucial CONNECT can support predictive maintenance models for the energy sector get in touch.
Share this article
Recent Posts
Archives
- May 2023 (8)
- June 2023 (8)
- July 2023 (6)
- August 2023 (6)
- March 2023 (5)
- September 2023 (5)
- September 2024 (5)
- October 2024 (5)
- October 2022 (4)
- November 2022 (4)
- February 2024 (4)
- May 2022 (3)
- July 2022 (3)
- August 2022 (3)
- September 2022 (3)
- February 2023 (3)
- October 2023 (3)
- November 2023 (3)
- March 2024 (3)
- April 2024 (3)
- May 2024 (3)
- August 2024 (3)
- May 2021 (2)
- July 2021 (2)
- October 2021 (2)
- February 2022 (2)
- March 2022 (2)
- June 2022 (2)
- December 2023 (2)
- November 2024 (2)
- June 2019 (1)
- March 2020 (1)
- July 2020 (1)
- September 2020 (1)
- October 2020 (1)
- March 2021 (1)
- June 2021 (1)
- September 2021 (1)
- December 2022 (1)
- January 2023 (1)
- April 2023 (1)
- January 2024 (1)
- July 2024 (1)