IIoT and M2M applications, together, are transforming the transportation sector by analysing data captured for clearer visibility of transportation activity. In turn, the resulting actionable insights enable enhanced decision-making and utilisation of resources. For instance, Singapore, a key proponent for IoT with its Smart Nation initiative, has adopted an Intelligent Transport System (ITS) strategy to improve commuters’ travelling experience. The strategy includes an Expressway Monitoring and Advisory System based on real-time analytics, to alert motorists of traffic accidents on major roads. In addition, the land-scarce but vehicle-heavy country also uses Global Positioning System (GPS) to provide city taxis with information on road conditions around the city. Data from all these systems are routed to a central control centre, which consolidates and organises them into information that is useful to the public. This strategy has greatly eased traffic congestion in Singapore, making it one of the least congested major cities in the world.
Manufacturers are leveraging predictive analytics solutions to improve output, streamline business processes and prolong longevity of existing assets. Not only can manufacturers improve clarity on their logistics and production processes, their customers can also have access to real-time tracking of shipments through a mix of cellular and satellite connectivity technologies. For instance, the industrial Internet changed the rules of lime production for one particular company. The company leveraged an industrial Internet platform to transform operational data, based on equipment, location and people, into actionable information. Using advanced and automated maintenance task schedule to track the progress of maintenance operations, the lime production company easily optimised maintenance efficiency and the overall availability of its plant, minimising downtime occurrences as well as time required for the plant to restart in cases of failure.
Medical equipment manufacturers are also quickly taking advantage of IoT to support the move to “accountable care” where standalone medical equipment – such as MRIs and CTs – can be monitored, modelled, remotely controlled and automated for quicker patient response times and better decision-making for healthcare practitioners. In addition, the analytical benefits of the activities of such equipment, automatically notifies medical staff to maintain and replenish supplies, driving down critical costs and errors significantly. The industrial Internet has the ability to help organisations build more cost-effective and quality healthcare systems and practices.
Due to the growing number, variety and complexity of medical devices, BK Medical, a manufacturer of diagnostic ultrasound systems,needed to integrate its standalone ultrasound systems into multiple, distributed hospital care systems as well as research laboratories. By using a data-centric mechanism, the company was able to ensure a loose-coupling between these system elements to readily address the challenge of mixing real-time communications with IT infrastructure. In turn, BK Medical can develop features for its ultrasound system technologies independently, easily integrating across distributed systems, without losing current functionalities, reliability and performance.