Skip to main content

The NXT Meets The Mouse... Datalogging Disney

So what do you do if you're taking a family trip to Disney World, and you're me? Take your NXT of course! As a physicist, I've always been curious (read: obsessed) with things like the acceleration on roller coasters. So, on a recent trip to Walt Disney World in Florida I took an NXT with a field-ready datalogging program & a Hitechnic 3-axis accelerometer attached. In the picture at left, you can see the NXT with me on Expedition Everest... OK, actually what you see is a picture of me screaming like a little girl with one hand raised, as the other crushes the NXT into the seat beside me. But it's there, trust me.

Previously I had datalogged by just grabbing a reading and storing it in a file as quickly as possible. But for a 5 minute ride the resulting file would be large - so large that I could only record one or two rides a day. Instead, the program stores the average value of the three axis data, with the sampling interval selected by the user at start-up. There were a few glitches, but overall this method worked great. If anyone wants a copy of the program & instructions on how to use it, let us know, and I'll try to pretty it up and post it (teachers, students - does this look like something fun to do?). Usually, I wrote to the datalog about every 100 ms, giving 10th of a second time resolution.

The result is information on not just the "max G's" that the rider pulls, but a more detailed description of the ride. In these graphs, the thick blue line is the total acceleration on the NXT, derived from all 3 components. The acceleration directly down into the seat is shown in light blue - normally this is your weight (the higher the trace, the more you are pressed into your seat). The acceleration forward or back is shown in red (the higher, the more you are pushed against the back of your seat). Finally the side to side acceleration is shown in yellow (as you are pushed against the side of the car in a sharp turn, the side to side acceleration will become larger in magnitude). So for instance as you are pulled up the 1st hill at a steep angle, you are pushed against the back of your seat, as shown by the red trace increasing to a higher level. As you dive through the bottom of a steep drop, the acceleration smashing you into your seat increases dramatically. It really is amazing the details you can see in the data if you know the ride (I've labeled a few interesting points... yes, perhaps I've ridden some of these 'coasters a few times :) ). I'm not going to give away any spoilers here... but if you know the ride, see what you can identify in that graph. The purple trace in this particular graph is from a different ride, showing how the acceleration varies if you are lucky enough to get the very front seat (worth the wait, actually).

I was actually able to datalog several rides during our stay: at Animal Kingdom, I logged Expedition Everest, Kali River Rapids (missed the big drop however), Primeval Whirl (a "crazy mouse" style ride, with some fun spinning and a few notable drops with low-G sections bracketing them), Triceratops Spin (with my daughters in control). Within the Magic Kingdom, Big Thunder Mountain showed some impressive "negative G's" (really just low-G points: as the data shows, you are never actually thrown up from the seat), while Splash Mountain actually recorded the peak acceleration of anything I measured at Disney, hitting 2.5 G's at the bottom of the drop, and Space Mountain also revealing it's secrets. Finally in EPCOT, I logged Mission Space multiple times to make sure I got it (wonderfully smooth curve... and proof that even Disney hasn't quite got real "zero-G"), and my son was kind enough to do the brake testing section of Test Track.

If people want to see some of the other graphs, I'll pop them up in a further post. But mostly I just wanted to share with you some of the really cool stuff you can do with the NXT in an educational setting. Yes, that's right, I just claimed playing on roller coasters at theme parks is an educational setting. And I'm sticking by that. They are, when you can put the thrill rides into a context that people can understand, or get them to experience it in a new way - which you can do with the NXT, a simple sensor, and a program that a 10-year-old could write.

Now, I've just got to get back there to do some of the ones I missed. Like Tower of Terror (real "zero-G" on that one), Rockin' Rollercoaster (the initial acceleration should be very interesting), the Spinning Teacups (I love those things), & who knows what else. But for now, I'll leave you with a picture of a tired NXT, that has more than earned the right to a bit of rest.

Dang, it's hard work testing toys. ;)

Addendum: To try to keep things linked, I'm including the links to other datalogging blog entries here:
27 Sep 2007 Datalogging in a racecar
10 Sep 2007 Datalogging in NXT-G
14 Aug 2007 NXTlogger: a BT Datalogger
22 Feb 2007 Datalogging + Robotics
23 Nov 2007 Acceleration in the Community

--
Brian Davis

Popular posts from this blog

MINDSTORMS Retires!

2023 is the 25th Anniversary of the MINDSTORMS brand. For 25 years, MINDSTORMS has educated and inspired a generation of robot builders, both children and adults. Unfortunately, the LEGO Group decided to end the line on December 2022. Many ROBOTMAK3RS have been passionately involved with the development of MINDSTORMS through the MUP and MCP programs. Even with the newest Robot Inventor line, several ROBOTMAK3RS were invited to submit additional bonus models that were included in the official app. Regardless of the retirement of a major LEGO robotics product line, ROBOTMAK3RS continue to MAKE-SHARE-INSPIRE using all LEGO robotics platforms available to us. Here is the official statement from LEGO. Since its launch in September 1998, LEGO MINDSTORMS has been one of the core ‘Build & Code’ experiences in the company’s portfolio, carrying with it significant brand equity and becoming a stand-out experience for the early days of consumer robotics and leading to current Build & Code

Celebrating MINDSTORMS with a Remix Part 1

In honor of the 25th Anniversary of MINDSTORMS, we asked ROBOTMAK3RS to combine a LEGO set of their choice with a MINDSTORMS set. Here is what these five ROBOTMAK3RS came up with.  MINDSTORMS Chess Assistant by Arvind Seshan Overview: When you are new to chess, it can be a challenge to remember which pieces go where. Now, you can use machine learning and LEGO MINDSTORMS Robot Inventor to build a tool to help you learn where all the chess pieces go on the chess board. Sets used: LEGO® Iconic Chess Set (40174) and MINDSTORMS Robot Inventor (51515) Review: I really like how the chess set base can store all the pieces underneath and that the board neatly splits in half for handy storage. The chess pieces themselves are very sturdy and well built. My only criticism is the building of the box itself. It was quite difficult to see what pieces to use and since the entire box is made mostly of thin plates, it took a lot of time and patience. I would have liked the storage area to be sliding dra

Celebrating 25 Years of MINDSTORMS

In celebration of the 25th Anniversary of MINDSTORMS, we take a trip through history. Please also visit ROBOTMAK3RS Community every week as we highlight different projects all through 2023 in celebration of the anniversary. Some of the early history is based on the content shared by  Coder Shah  in our  MINDSTORMS EV3 Community Group . Some of the text and links may have been edited from his original posts for consistency and clarity.  1984 - Kjeld Kirk Kristiansen watched a TV program called "Talking Turtle," where MIT professor Seymour Papert demonstrated how children could control robot "turtles" using LOGO, a programming language he developed. 1988 - The collaboration between MIT and LEGO resulted in LEGO TC Logo in 1988, which allowed students to control LEGO models using computer commands. The video shows Papert demonstrating TC Logo. 1990 - LEGO TC Logo was hampered since the robots you built had to be tethered to a personal computer. LEGO and MIT