Delicious IoT Coffee, Part 2 of 3

My second guest article on the Texas Instruments’ e2e site Launch Your Design blog has gone live!

Coffee Temperature Probe

Coffee Temperature Probe

This second of three articles covers component testing, challenging assumptions, and building a temperature probe. You can read it here: https://e2e.ti.com/group/launchyourdesign/b/blog/archive/2016/01/11/an-iot-solution-for-perfect-coffee-part-2

See also Part 1, and the original writeup.

 

Delicious IoT Coffee, Part 1 of 3

My first guest article on the Texas Instruments’ e2e site Launch Your Design blog has gone live!

LM35 IoT Coffee

LM35 IoT Coffee

You can read it here: https://e2e.ti.com/group/launchyourdesign/b/blog/archive/2016/01/11/an-iot-solution-for-perfect-coffee-part-1

This is a three-part series, that will discuss the engineering process behind the project I wrote about previously. It goes into developing design constraints, component selection, empirical testing, hardware design and assembly, embedded software design, messaging architecture, and cloud data services. Lots of stuff for tasty coffee, but more hardware-focused detail than the previous writeup at wot.io. I hope you enjoy!

See also Part 2

 

Delicious Coffee with a Kinoma Create and PubNub

Update: I have a forthcoming three-part series of articles on Texas Instruments’ e2e blog that dives into some of the hardware engineering behind this, too. I’ll link them here when it’s finally published!

Updated Update, here are the links:
Part 1
Part 2

I’m a coffee snob. I admit it. I’m proud of it. Although, upon reflection I really think it boils down to appreciating deliciousness. And who wouldn’t?

kinoma-wotio-wmf15-tg-115537

Anyhow, I was able to weave my love of coffee together with another Internet of Things demonstration project, this time coding JavaScript and XML on a Kinoma Create, and building a Pyrex-cased temperature probe with a Texas Instruments LM-35 military-grade analog temperature sensor. The Kinoma reads the temperature sensor, and asynchronously publishes telemetry messages to PubNub. From there, the wot.io data service exchange subscribed to the messages and routed them to a number of data services I used for analytics and alerting, including scriptr.io, bip.io, and Circonus. As with all these prototypes, it was up and running very fast, and I could iterate rapidly as new insights formed. Powerful stuff, that can really hit your bottom line and time-to-market in good ways.

I discovered my drip coffee maker sucks at temperature regulation, and my pourover and French press technique has improved quite a bit. So has the coffee!

You can read the full article I wrote here. And the code is on GitHub, as well.

This setup was at World Maker Faire 2015 in New York City, at the Kinoma booth. Cool to have some of my creations featured there =)