CONNECTED ASSETS
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right skillsets in the right place at the right time. Even with the right scheduling tools, workers can’t be in two places at once. Companies such as XMReality™ are working to bring forward a remote expert to assist in complex maintenance – ‘augmenting’ worker’s skills with virtual over-the-shoulder coaching. With the XMReality solution, not only can the expert engineer see the issue at hand but, with augmented reality, can guide a techni- cian through even the most complex of tasks using visualised hand gestures and tools. This is just the type of technology
which could be extended to provide mechanics and technicians virtual ‘sight’ of components hidden from view behind other systems or structures, or pin-point exactly where a fault lies by augmenting reality with reference plans and drawings. The key benefit of context-aware AR tech- nology will be reducing the time it takes to complete complex maintenance tasks in difficult environments.
IFS IoT Business Connector puts asset management executives in a position to maximise the value of data from connected devices
THE RISE OF THE MACHINE... LEARNING Condition-based maintenance was designed to combat entire production lines grinding to a halt by providing real-time maintenance indicators, allowing quick responses to faults that are happening right now. But machine learning is taking condition-based maintenance one step fur- ther to ask, ‘Can we predict what mainte- nance will be required ahead of time?’ Unlike CBM, machine learning doesn’t
rely on pre-programmed algorithms, but enables ‘the machine’ to learn from huge aggregate data sets to identify new trends and insights. Because machine learning systems use data collected from IoT- enabled sensors, they can constantly refine models to make analytical predictions on asset performance and efficiency.
MACHINE LEARNING IN ACTION For example, an operating motor creating its own vibrations can monitor and feed back this data in real-time. If vibrations suddenly spike outside a set threshold, an engineer might be scheduled to perform maintenance. But what if the spike was caused by a truck driving too close to the machine rather than a fault in the asset?
With machine learning, the analytics
software will know to ignore such spikes and only dispatch an engineer for mainte- nance when it receives signals of asset deg- radation that fits the data. EAM will automatically schedule a work order for an available engineer with the right skill set to perform maintenance work, as well as identify the right tools and parts for the job. These advanced warnings will allow organisations to efficiently leverage global supply chains, streamline resource alloca- tion for maintenance operations and reduce local stock levels for spare parts.
Future Mobility Mobile technology has been benefitting businesses for some time now, with improved communication, field access to computing functionality and documents, accurate data recording and more. But there are a couple of technologies starting to make their way into the enterprise which are set to have a significant impact.
CAN AUGMENTED REALITY SOLVE RESOURCE SHORTAGES? A common problem facing asset heavy organisations is having people with the
INTERACTIVE VOICE CONTROL The role of a maintenance engineer is very much a hands-on job, and it’s not uncom- mon for them to work in confined spaces or challenging environments. It is for this reason that the list of potential benefits from interactive voice systems in mobile apps should make strategic planners take notice. Productivity, accuracy and effi- ciency would all rise as engineers no long- er need to sacrifice wrench time to input data at the end of a shift, or even manually interact with EAM on a mobile device. In some cases, voice-driven computing for hands-free operation could mean techs could interact with EAM software in situ- ations where they need use of both hands, increasing both productivity and safety. This technology has the potential to
transform how engineers work, with an engineer asking their mobile device to report the status of an IoT-enabled asset, requesting parts data or accessing instruc- tional or asset documentation.
PREPARE FOR CHANGE EAM software is now taking advantage of disruptive technologies like IoT, augment- ed reality and hands-free computing. But the fundamental fact remains that execu- tives need to manage assets in a safe and reliable way which guarantees their availa- bility, safe operation and productive capac- ity. These human and machine interfaces for EAM software must make asset data usable for decision support, and be config- urable and agile enough to adapt to chang- ing business needs. n
IFS WORLD 15
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