Skip to main content

Junk Science: Taking My Temperature with the NXT


To see how NXT-2.0 and the new temp sensor performed, I ran the following test. (Click on the graphic for an enlarged view).

1) The bottom bar graph shows the temperature in our living room: 65.4 degrees Fahrenheit, proof of our extremely low natural gas consumption. (This has its downside, as you'll see from the next graph).

2) The middle graph shows the temp when my hand is wrapped around the temp sensor. (I didn't hold it long enough to actually warm it up, but 80 degrees Fahrenheit is a frighteningly low temperature for a body extremity).

3) The top graph shows the temp when the sensor is placed next to my body, underneath my shirt and fleece pullover. (It was only there for about 30 seconds, but an 87 degree body temperature indicates severe hypothermia--I'm heading for the fireplace).

I did establish a Bluetooth connection with the new software and firmware, so the next step is to test remote data logging. I want to test the exportable MyBlocks feature as well. More later.

Update: I thought I'd toss up another graph to show the sensors time response.















Here I took
one 10 minute long run, first putting the probe under my arm, then under my tongue (not recommended!), and then after a short cool-off into a cup of hot tap water, & finally directly into a cup of ice water. I could even read off values, annotate, and rescale all in the software... and I did all this in about 15 minutes (including the 10 minutes for logging). It really makes it easy. This is showing only a portion of the things you can do with this new extension to the environment - hiding data, multiple sensor or multiple datasets, zooming on portions of the graph, and even built-in screenshots and saving data. Very handy. And no, I don't have a fever, I'm just warmer than Rick is ;).

--
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 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

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