dafa888下载客户端:How Big Data Is Transforming Aviation

作者/来源:  Gary Eastwood / Datafloq    责任编辑: 闫文美 时间: 2018年07月10日

Big data and the Internet of Things are transforming industries everywhere, and aviation is no exception. This is not surprising when one considers the millions of flights which occur every year, the numerous variables which airlines have to consider, as well as the thin margins they make per passenger. Any small steps they can implement to become more efficient could have major ramifications in lowering costs, increasing passenger thoroughfare through airports, and offering a better customer experience.

Those airlines who can adapt the fastest to changing technology will thrive, while those who stay stuck in the old ways will fall behind. Here are some examples of Big Data uses in aviation and why airlines should begin using more data scientists and technology.

Data, data everywhere

There are broadly two areas where airlines want to collect as much data as possible. The first area is the customer. Businesses these days are determined to offer a personalized experience where the customers know that their individual needs are being taken care of, but this may seem impossible for a business which manages at least tens of thousands of customers per day. But big data lets airlines focus on each individual customer, selling products which specifically cater to their needs such as baggage and food services.   

The second area is the plane itself, as Big Data here can improve safety and reduce delays. Industrial businesses dealing with heavy machinery have embraced both Big Data and the Internet of Things to help managers know when parts are beginning to wear out. Instead of having to wait until a part wears out, or checking it with human operators who can be flawed, they can use sensors to detect when a part is worn out and replace it when it is most opportune through a preventative maintenance approach. As a result, airlines are steadily using Big Data to help save money on repairs and avoid delays.

Airline sensors can be used in other ways. Airlines are constantly looking for ways to save on fuel. With airplane sensors, airlines can detect if planes are carrying too much fuel on a flight. The key is that this data, collected by companies like Fareboom, can be transmitted from a plane to the ground and vice versa. Ground control can give advice to a plane about how which altitudes to fly in order to reduce cost, and the savings can be passed on to the customer.

Big Data, AI, and Aviation

Any Big Data analysts can tell you that Big Data and artificial intelligence are closely linked together. Data by itself is useless without something to analyze it, and artificial intelligences are better than humans at detecting patterns out of huge quantities of data. Artificial intelligence promises to change the airline and passenger experience alongside big data. Airlines are as interested as other businesses in using chat bots which can help speakers with their individual needs, and algorithms can analyze past passenger behavior to predict when passengers will not show up and prevent overbooking.

Yet at the same time, airlines show artificial intelligence’s limitations and the role which humans will continue to play with airlines. Take piloting for example. Given the hubbub over self-driving cars, self-flying airplanes would seem to be a logical next step. After all, the vast majority of a flight is conducted with the autopilot engaged, and both Boeing and Airbus are clearly interested in the possibility of artificially flown flights in order to save money. 

But passengers appear to be far more anxious about self-flying planes compared to self-driving cars, perhaps because the numbers of lives saved by self-flying planes would be far smaller. Human pilots also could serve as a backup to the AI should it make a mistake, and serve as a calming force to keep unruly passengers down. Quartz reports that fully automated passengers airlines will likely not exist until the 2040s, and some airlines may still opt for human-piloted aircraft for some time afterwards.

Big Data is certainly going to change how we fly by creating an experience with less delays, lower prices, and better safety. Airline companies are not just transportation companies, but data centers which will use everyone’s data for the better. While this does present challenges such as storing the data safely and understanding what Big Data and AI cannot do quite yet, the end result will be something better for airlines and customers alike.  



Article Author: 

Author for Datafloq

Gary Eastwood has over 20 years' experience as a science and technology journalist, editor and copywriter; writing on subjects such as mobile & unified communications (UC), smart cities, information and communications technology (ICT), cloud, the Internet of Things (IoT), clean technology, nanotechnology, robotics & AI and science & innovation for a range of publications.