Project lead: Dr. Chet Udell, Luke Goertzen
Project Loom & The Internet of Things (IoT)
Cisco Systems estimates that by 2020, more than 250 things will connect to the Internet each second with 50 billion total devices communicating online (Tillman, 2013). The Internet of Things (IoT) is the notion that everyday objects like cars, coffee makers, umbrellas, and traffic lights will collect data and not only communicate over the internet, but autonomously collaborate together to optimize our daily lives. In a world where shoes keep track of how fast and far we run, and watches can detect if its owner has heart trouble and call for help, the implication for internet-enabled distributed sensors for environmental research is truly exciting. Dr. Chet Udell’s work is an extension of this concept focused on optimizing the connections between machines, people, and computing to enhance capabilities and transform how environmental sensing and research is conducted in the face of climate change.
Loom is a multidisciplinary collaboration of the OPEnS Lab with a team of 20+ Computer Science and Electrical Engineering senior capstone students to create a fully open source, modular, user friendly, sensor/actuator system kit that enables environmental research and conservation communities to overcome significant technical hurdles for creating new environmental, agricultural, and ecological instrumentation to measure, monitor, automate, and understand our world.
Design a "plug and play" senor/actuator system
Simple enough for K-12 students to use
Extensible and programmable enough for engineers to customize
Create a wide variety of applications by simply connecting modular components
Make the system wireless, low-power, low latency
Configure all sensors and actuators on a wireless network using an intuitive graphical user interface
Interact with data and control signals on a network in realtime
Make data transmitted from local and remote locations available instantly from anywhere around the world
The Loom hardware is documented in future detail on GitHub.
Uses Adafruit Feather M0 family of devices
A tutorial on adapting Arduino Sketches to M0 found here
Wireless Device Communication
Internet Connectivity Options
AS7262 Spectral Sensor (visible)
AS7263 Spectral Sensor (near infrared)
AS7263 Spectral Sensor Triad (visible, near IR, UV)
FXAS21002 3-Axis Gyroscope
FXOS8700 3-Axis Accelerometer/Magnetometer
HX711 Load Cell Amplifier
MPU6050 Accelerometer / Gyroscope
MS5803 Atmospheric Pressure / Temperature Sensor
SHT31-D Temperature and Humidity
TSL2561 Lux Sensor
TSL2591 Lux Sensor
ZX Distance and Gesture Sensor
Loom also supports the TCA9548A I2C Multiplexer for simple connection of multiple sensors of the same or different type
TCA9548A I2C Multiplexer
MAX31856 Universal Thermocouple Amplifier
Loom supports most analog sensors in a plug-and-play fashion with up to 12-bit resolution. In addition, Loom provides conversions to standard units for the following sensors:
Servo Featherwing for up to 8 servos
DC Motor + Stepper FeatherWing for up to 4 DC/Stepper motors
Neopixel RGB LEDs
A graphical user interface implemented in Max/MSP provides realtime data monitoring and interactivity.
Max code/interfaces can be found on GitHub.
Visualizes all sensor data in the network environment
Visualizes and controls all actuators in the network environment
Enables the user to apply functions, transforms, thresholds, and feature recognition on incoming data
Enables the user to create if-this-then-that conditional relationships between the sensors and actuators (e.g. turn on fan when temperature is above 80 degrees Fahrenheit)
Loom provides near real time data logging to Google Sheets via the free PushingBox API. A single hub can facilitate the logging of data from an entire network of data-collecting nodes.
This project is under continual development, with an ever increasing number of sensors, actuators, and other features. For the latest code updates, lists of supported hardware, and documentation, check out the project’s GitHub repository.
Open-Source, IoT, Internet of Things, Remote Sensing, Adafruit, Plug and Play.
Inberg, Tyler (2018). Project Management and Design of a Modularized Internet of Things (IoT) Prototyping System. Retrieved from Scholars Archive @ OSU. (http://ir.library.oregonstate.edu/concern/honors_college_theses/xs55mj293) Location: Oregon State University.