• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

Rolls Royce Shifts In Higher Gear With Big Data

Dr Mark van Rijmenam / 3 min read.
February 6, 2013
Datafloq AI Score
×

Datafloq AI Score: 54.67

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/4oQol

Rolls Royce, the engine manufacturer and not the car manufacture, takes big data to a higher gear with their Rolls-Royce Engine Health Monitoring Unit. All engines of Rolls Royce, be it for aircrafts, helicopters or ships, are equipped with sensors that collect data from different components, systems or sub-systems within the engines. This information is analysed by algorithms that are programmed into the collection system. The monitoring happens in real-time, be it at 37.000 feet or in the middle of the ocean, and the data is sent to the control room in Derby.

Engine Rolls Royce

All minor details like vibration, pressure, temperature, speed etc. are sent via satellite to a computer that analyses the data. In total there are around 100 sensors embedded in the engines. Whenever a small error is noticed, it can be corrected then and there, even when flying at over 1.000 km/h. All data is received by around 25-30 engineers who and another 150 engineers, who work in shifts round the clock, analyse all the data pouring in. On an annual basis this adds up to over half a billion data reports.

In case there is something more serious going one, the control room in Derby is noticed and a ground service team from Rolls Royce will be present when the plane lands, anywhere in the world. In order to do this they have over 200 engineers ready to make sure spare parts arrive on time and another 160 armed forces across the world ready to fix if necessary any of the planes belonging to one of the 500 airline companies.

All data collected gives the company not only early warning on fails diagnosis, but it also helps its airline customers to schedule maintenance more cost and time efficiently. This minimizes disruption and delays for customers.


Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

Consent

For Rolls Royce this is nothing new. They were already involved in big data before big data became cool. Back in 2006 they were already monitoring over 3.000 engines in real-time as well as collecting and analysing that data after being streamed via satellite during flight. However, the improved algorithms have resulted in increased capability to prevent technical issues before they occur.

Sometimes, the ground control crew is still needed to perform a manual check when the plane is on the ground. Such checks are performed with a fibre-optic instrument called a borescope. It allows an engineer to look inside the engine and look for damages, occurred by a bird-strike for example. However, it is a difficult job and requires highly qualified personnel that are not always available taking into account the 14.000 engines that are flown by 500 airlines on 4000 aircrafts worldwide.

Rolls Royce has found a solution for this problem however as they are developing a robot that can be placed in the engine by a relatively unskilled engineer. This snake robot enters the engine and sends back images to an expert who can control it remotely. An engineer can then fix any problem. This robot is developed with help of a 4 million European research subsidy and the project is called Miror and should be operationally in 2014. But there is more, as they are also developing a camera to be placed inside the engine at its core. There it should be able to survive temperatures up to 2000 C so it can take a picture of the engines interior the moment it is shutdown. These images are streamed through a CCTV network and can be controlled remotely. It can give an instant picture of what is happening when an algorithm has detected an error, even before the snake robot makes its entrance. Of course this will add massive amounts of data to the already growing daily data stream Rolls Royce receives.

Of course, the objective for Rolls Royce is to make the engines safer and more reliable every day. Whenever something is not working as it is supposed to, they can fix it during operation or immediately after it thereby also saving time, money and preventing customer frustration. Big data definitely does its job well at Rolls Royce.

Categories: Big Data
Tags: advice, analysis, analyst, blog, cases, Data, descriptions, engineer, industry, internet, job, jobs, knowledge, organisation, organizational, platform, practices, privacy, scientist, strategy, technology, things, tools, trends, videos

About Dr Mark van Rijmenam

Dr Mark van Rijmenam, CSP is a leading strategic futurist keynote speaker who thinks about how technology changes organisations, society and the metaverse. He is known as The Digital Speaker, and he is a 5x author and entrepreneur.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Related Articles

The Advantages of IT Staff Augmentation Over Traditional Hiring

May 4, 2023 By Mukesh Ram

The State of Digital Asset Management in 2023

May 3, 2023 By pimcoremkt

Test Data Management – Implementation Challenges and Tools Available

May 1, 2023 By yash.mehta262

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics application Artificial Intelligence BI Big Data business China Cloud Companies company crypto customers Data design development digital engineer engineering environment experience future Google+ government Group health information learning machine learning mobile news public research security services share skills social social media software solutions strategy technology

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • Oracle Cloud Data Management Foundations Workshop
  • Data Science at Scale
  • Statistics with Python
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 5 Reasons Why Modern Data Integration Gives You a Competitive Advantage
  • 5 Most Common Database Structures for Small Businesses
  • 6 Ways to Reduce IT Costs Through Observability
  • How is Big Data Analytics Used in Business? These 5 Use Cases Share Valuable Insights
  • How Realistic Are Self-Driving Cars?

Search

Tags

AI Amazon analysis analytics application Artificial Intelligence BI Big Data business China Cloud Companies company crypto customers Data design development digital engineer engineering environment experience future Google+ government Group health information learning machine learning mobile news public research security services share skills social social media software solutions strategy technology

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!