DATA ANALYSIS -AVIATION
HISTORY
The Wright Brothers invented and flew the first airplane in 1903, recognized as “the first sustained and controlled heavier-than-air powered flight”.
They built on the works of George Cayley dating from 1799 when he set forth the concept of the modern airplane (and later built and flew models and successful passenger-carrying gliders).
The Boeing 707, the first widely successful commercial jet, was in commercial service for more than 50 years, from 1958 to at least 2013.
Types of AirLines Frequent in India-
What are exactly the ways data analytics is transforming airlines?
Air connectivity in India -
Major airports in India offer both domestic and overseas flights. The airport transportation network of the country effectively fulfills the needs of a large number of tourists and visitors who are arriving in the country from distant locations.
Over 335 civilian airports in the country are there and they can be categorized into airports with concreted runways (250) and airports with caliche-topped runways (96).
An analysis by the International Airport Transport Association (IATA) showed that air connectivity grew the fastest at 114 percent in the five-year period from 2013–2020.
As per the IATA, which is a grouping of around 290 airlines, connectivity is the “extent to which a country is integrated into the global air transport network”.
In recent years, many foreign, as well as Indian carriers, have commenced flights to and from various Indian cities. About domestic passenger growth, Pearce told PTI that there is strong growth ahead but the challenge is with infrastructure and that airports are crowded.
Flight efficiency
->Aerodynamics
A subfield of Fluid dynamics, Aerodynamics studies the physics of a body moving through the air. As Lift and Drag are functions of airspeed, their relationships are major determinants of an aircraft’s design efficiency.
->Design speed
By increasing efficiency, a lower cruise-speed augments the range and reduces the environmental impact of aviation; however, a higher cruise-speed allows more revenue passenger miles flown per day.
->Weight
- As the weight indirectly generates lift-induced drag, its minimization leads to better aircraft efficiency. For a given payload, a lighter airframe generates a lower drag
How Data Analysis helpful in saving fuel?
The age of “big data” opens the door to breakthrough opportunities and fuel savings in the 1–3 percent range. But the concept of big data can be daunting for airline executives. Collecting data from hundreds of diverse sources and converting it into actionable information — and effective initiatives — is a task best left to experienced professionals with a proven track record of success.
With its advanced data analytics platform Honeywell Forge Flight Efficiency, Honeywell brings together data from a vast array of sources on and off the aircraft, touching nearly every facet of the air transportation value chain. We use this data to help airlines develop, implement, sustain, and measure fuel efficiency initiatives tailored to their specific goals, fleets, and routes.
Weight, engine utilization, and effective fuel planning are the three essential factors affecting fuel consumption. It requires data from many sources to make decisions impacting these key areas, which is where the concept of big data enters the picture. Applying data analytics gives airlines a unique perspective that lets them move beyond the one-size-fits-all fuel-efficiency initiatives of the past and expand their thinking to include novel ways to save fuel.
Raw data provided by the carrier is checked, analyzed, aggregated, and presented in ways that are easy to interpret so airline decision-makers can make informed choices and recognize how their operating decisions impact fuel use and other imperatives, such as profitability and schedule performance. Honeywell does the hard part, using advanced analytics to unlock an airline’s full potential.
AI In Aviation: Are You Ready To Fly Without A Human Pilot?
As artificial intelligence (AI) continues to evolve and expand, companies are seeing huge changes in the field of aviation. Big brands are investing in AI technology to enhance their products and services to better serve their customers.
AI technology is becoming more advanced and complex and is finding applications in the aviation industry in multiple ways, including auto-pilot features. Due to factors like cost savings and shortage of qualified pilots, many companies have expressed an interest in reducing or even eliminating the number of pilots in the cockpit. There have been speculations that AI may someday replace human pilots. This article covers the various applications of AI in aviation and discusses how close AI is to replacing human pilots in the future
Drawbacks of AI in aviation
While AI is promising for the future of the aviation industry, it has some pitfalls as well. First, AI is quite expensive. All airlines might not be able to afford or invest in such new and expensive technology.
Second, it will take some time for implementation by the worldwide aviation industry.
Recently, Boeing was under intense scrutiny after its 737 Max Jet was involved in two deadly crashes. In March, Ethiopian Airlines Flight 302, a Boeing 737 series crashed minutes after it took off, and all 157 people on board died. The first such crash took place in October 2018 in Indonesia. Lion Air Flight 610 crashed just minutes after taking off from Jakarta, killing 189 people.
MCAS software installed in jets was the key reason behind the fatal accidents. These incidents are an eye-opener for the use of AI technology in the aviation sector.
Commercial aircraft are complex systems, and pilot-less planes put into service is not an easy job. Even if such systems exist, only a few people are willing to fly in fully-autonomous aircraft. A survey done in 2018 has shown that just under thirty percent of the US flyers are willing to fly on autonomous aircraft.
That’s for now, This will help you to understand the evolution of aviation.
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