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In unprecedented times like these, every organisation is responsibly working towards reducing person to person contact time, as well as creating contingencies for businesses to operate with limited personnel and remotely located staff.
Typically industrial maintenance has been carried out by large teams of maintenance crews and engineers. As a result of COVID-19 a large number of our clients have reduced the size of their personnel on-site to 50% normal operating levels, whilst needing to maintain the same, if not higher, production levels.
The VROC Platform with its AI predictive analytics functionality provides our clients with remote access to monitor their assets health and provide advance warnings so maintenance can be prioritised, safely scheduled and production optimised even with limited personnel. The insights obtained from the artificial intelligence modelling is specific enough to identify the exact area of fault and therefore the skill-set required to perform the maintenance, for example an electrical engineer or mechanical engineer. This removes the manual checking on equipment and the need for large teams on-site, as staff can access critical data from their mobile or tablet globally.
In one example, VROC went up against a team of reliability engineers who took 4000 man-hours to identify the root cause of a failure. The VROC platform took 90 minutes, validating the root-cause 2000x faster. The VROC platform removes manual processing and guessing, freeing up subject matter experts to do more critical tasks, limiting exposure to risk and increasing safety.
With the ability to be deployed in just a matter of days, if you are looking to maximise the value of your limited site resources please get in touch and let VROC support the focused application of your Maintenance and Reliability Teams.
Four factors to consider when choosing a predictive maintenance solution for your manufacturing or process plantRead Article
Interested in a demo of one of our data solution products?
DataHUB4.0 is our enterprise data historian solution, OPUS is our Auto AI platform and OASIS is our remote control solution for Smart Cities and Facilities.
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Ready to embark on a pilot project or roll-out AI innovation enterprise wide? Perhaps you need assistance integrating your systems or storing your big data? Whatever the situation, we are ready to help you on your digital transformation.
The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
Learn more about DataHUB4.0, VROC's distributed enterprise data historian. Complete the form form to download the product sheet.
Discover how you can connect disparate systems and smart innovations in one platform, and remotely control your smart facility. Complete the form to download the product sheet.
'OPUS, an artistic work, especially on a large scale'
Please complete the form to download the OPUS Product Sheet, and discover how you can scale Auto AI today.
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