The Aerospace and Defense (A & D) organization is not a new thing in the Internet of Thing (IoT). In industries where the second split decision is made daily, IoT sensors and automation are commonplace.
The amount of data generated by average aviation is enough to divert the mind. For example, a single engine plane can produce more than 844 TB of data within 12 hours. That’s more data than Facebook collects in one day, meaning that with more aircraft and more sophisticated engines we can talk about the amount of data generated that will go beyond the user’s internet.
And, in comparison, the data is much more valuable than a business point of view. The more sensors, more views are available to collect.
IoT makes flight safer and more economical. The IoT data collected from the jet engine feeds forecast AI, which predicts engine demands to adjust core levels, leading to 10 to 15 percent reduction in fuel, as well as reduced production and engine noise.
Beside that, IoT can improve maintenance and can reduce the ground time. For engineers and engine technology designers, performance data is delivered in real time, resulting in adaptation of how the aircraft is flying and reducing the base incidence. Long-term maintenance contracts can be offered at lower costs as immediate issues are sent to land crew, reducing the time spent on diagnosing issues and getting the flight back in flight.
IoT also can make data transmission speeds up. The challenges seemed to be at the time it was necessary to send the collected data. Even planes using Ethernet-based networks can only transmit data at 12.5 MB / s. Although this is much faster than the traditional avionics system, it is far from real-time. As soon as the transmission speed improves, we can see the “black box” to being as a backup device.
Feel free to contact E-SPIN for the various technology solution that can facilitate your aerospace and defense (A&D) related to Internet of Things (IoT) or related technologies from infrastructure monitoring, system security to technology transformation.