How Kenya Airways is using IoT, AI for predictive airplane maintenance

3 months ago
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The use of IoT and AI in the operations has really impacted how the airline serves the customers. (Pic- Muthoni Njuki)
 
The national carrier, Kenya Airways, is using IoT and AI to detect and predict any anomalies when a plane is in the air for prompt maintenance.
 
Speaking at the CIO AI&IOT Summit, Kenya Airways acting IT director Paul Mungai said that each plane has about 5000 sensors which manage everything from the engine, cabin pressure, lighting and all other aircraft's functions. Each of these sensors delivers tonnes of information about the health of the aircraft. This information is stored in a data center in the center of the plane. It stores information on any function of the plane whether it's working well or has an issue.
Paul says that if the plane has an issue its transmitted through satellite to Boeings' environment in Seattle, the communication is sent to the plane's engine maker and then sent to the Kenya Airways data center in Embakasi in real time. If the aircraft has an issue, the information is sent to the engineering department and by the time the plane is coming back from London, Paris, or where it is, the engineer is in Nairobi waiting to repair it.
 
This makes the flights safer because the engineers are able to identify issues with the flight in good time. It helps with speedier resolve because, by the time the plane is back, the engineers have already found a solution to any problems. 
 
The use of IoT and AI in the carrier's operations has really impacted how the airline serves the customers. 
 
"An aircraft on the ground does not make the Airline money. The key thing is that it is happening in real time.  Prompt repairs minimize the passengers having to endure some of the delays that happen due to technical issues." Mungai adds
 
For all the details, watch the full video on Token Map TV
 
 

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