Unleashing the Power of Prediction

Automotive industry, especially the passenger car segments have seen a paradigm shift from the perspective of technology deployment. Telematics, enhanced safety, connected cars, autonomous cars are some of the key advancements already evident in passenger car segment. These technology advancements are also making way into the off-highway and mobile machinery segment comprising of all agriculture, mining, construction, infrastructure equipment in their vehicles.  The automotive industry has seen many developmental changes too in terms of innovation like electrification of vehicles, vehicle connectivity which allows data sharing and communication between vehicles. Apart from these vehicle performance, safety, and user experience by using machine learning and data analytics is gaining high prominence as per the automotive industry advancement towards adapting digitalisation. Even with innovations adding up in this industry, the dependency to select right product has been incredibly challenging to the vehicle manufacturers.

Rise of digitalisation

Industrial IoT is dawning on the market with numerous available technologies such as scalable, flexible systems and assets, web based intuitive GUIs, advanced and simplified diagnostics, remote access, and advanced maintenance practices, vertical and horizontally connected vehicles, telematics, fleet management amongst many more. Industrial Internet of Things plays a key role in boosting productivity, improving preventive maintenance, minimising downtime, and reducing repair costs. Sensors integrated with the mobile equipment helps to detect and send alerts related to the status of the system and parts of equipment. Time management is important in any project. Any delays, disruption or downtime on any site deploying off-highway equipment can cost dearly. Heavy equipment such as excavators, loaders, scrapers, forklift, cranes, mining, bulldozers, tractors and implements play an important role. The major factor that has been identified as reasons for delay in most projects is unplanned downtime and breakdown of such equipment. With the help of sensors mounted on such vehicles, one can monitor key maintenance issues such as excessive vibrations, temperature fluctuations, unnecessary noise, need of lubrication, greasing etc. and provides operators and fleet owners valuable data to act upon.

Easy Predictive maintenance

The X90 controller with integrated condition monitoring allows operators of construction and mobile machinery to continuously monitor the health of their equipment. The results help determine exactly which components require maintenance and when. Problems can be detected in their early stages and corrected before they result in unplanned downtime. Repairs can instead be timed to coincide with regularly scheduled service. The X90 controller with integrated condition monitoring allows operators of automotive machinery to continuously monitor the health of their equipment. The ability to draw real machine data from the field into the simulation model helps optimise maintenance cycles. Comparing the behaviour of the real machine against that of the model makes it possible to identify early signs of impending failure, such as worn or damaged bearings. Data is prepared and pre-processed in MATLAB/Simulink and can then be transferred to the cloud via a B&R Edge Controller. OEMs can apply the newly gained insight to their entire machine fleet all around the world.

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