![]() ![]() Of course, the arrival of cheap sensors and commercial Big Data platforms have democratized the technology and proliferated development of new IoT solutions targeted at these use cases. In many ways, commercial aviation has provided substantial contributions to the development of core IoT building blocks. For instance, industry has monitored engines and predicted remaining useful life with Prognostic Health Monitoring (PHM) for 15+ years, OEMs have built company-proprietary Big Data systems to analyze flight data, and the industry as a whole has built standards of data exchange to improve reliability, quality and traceability. What are the top IoT use cases your company is pursuing today?Īll of the above IoT use cases are important to commercial aviation, and in fact aerospace piloted many of these use cases with precursors to IoT for well over a decade. The top use cases companies are looking to address first with IoT are shown below.įigure 1. LNS Research has researched the IoT since 2014, and as a part of this research has tracked top use cases for IoT. ![]() How Important is IoT to Commercial Aviation? Commercial aviation must find a way to ensure secure data access to IoT data for airlines, OEMs and the supply chain alike, in a similar way that it has found a way to exchange operational data using collaboration standards like Spec 2000 and Spec 2300 among others. Sure, the data is still very useful, and the improvements are real, but commercial aviation has some fundamental IoT data ownership and data exchange roadblocks that must be overcome in order to fully realize the IoT’s transformative potential. Similarly, OEMs and suppliers cannot access airline data. This means that while Qantas can optimize flight paths, these optimums are set without using real-time in-flight data because Qantas cannot access the aircrafts’ in-flight data. ![]() However, all approaches are hampered by a common industry roadblock: a lack of rules defining Internet of Things (IoT) data ownership and data exchange between suppliers, OEMs, and airlines. Click here to speak with Danīoth approaches will deliver value to airlines, pilots and travelers, and are likely to be followed by other others. Qantas took a different approach, working with the University of Sydney to develop a system that optimizes flight paths to reduce fuel consumption and optimize the airline’s operational efficiency. Flydubai is working with GE Aviation/Predix to reduce the impact of unavoidable delays, optimize flight scheduling, and monitor engine health. During the week following July 4 th, two airlines, flydubai and Qantas, announced that they had deployed IoT systems to optimize flight operations. ![]()
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