As our production of open source devices with a variety of sensors continues to roll out, it is of the utmost importance to try and make these devices as power efficient as possible in order to conserve battery life. The solution is simple, using a variety of adafruit and SparkFun libraries such a LowPower.h, RTClib and a custom RTClibExtended. However, the problem at hand is the compatibility and settle discrepancies between the processors we are using and how they interface with these libraries. This post will serve as a walkthrough on how to work with these power saving libraries with the latest 32u4 and M0 processor boards as well as integrating this logic into Arduino UNO projects.
Over the last two months, our OPEnS Data logging hub in the HJ Andrews forest has relayed over 100,000 data points to our Google Spreadsheet through the transmission protocol below. This post will provide a brief look at some interesting trends found within our dataset.
As our projects continue to evolve alongside with the advances of technology it is important to keep the OPEnS lab up to date with the latest and greatest prototyping technologies at our disposal. There is no example greater than that of the microprocessor. This post will explore two of the most advanced, widely available microprocessors on the market today.
An RGB light sensor we evaluated for use in the Evaporometer project. This sensor measures RGB, color temperature, lumens, and visible light spectrum, and has features that won't necessarily be useful for our project, but are still worth documenting in this post.
So far we have used this series of blogposts to discuss a lot of the technical details about how certain processes are happening within the Evaporometer Transmitter and Receiver. A series of diagrams has been made to help visualize how everything comes together. First will be a diagram showing how all the sensors are connected to the Feather 32u4 and battery, followed by two flowcharts illustrating how abstract environmental conditions are transformed into the data logged in our spreadsheet.
For the past several weeks the primary focus of myself and the other undergraduate researchers at the OPEnS Lab has been to get a working, deployable prototype of an Evaporometer (link here) sensor for use for a partner research group. This project required numerous data transmission protocols and untimely it is our hope to add remote data-logging capabilities using the Ethernet Feathering.
WiFi Data Logging
For the last few weeks, I have been working on using an Arduino Uno and a couple different ESP8266 WiFi modules for the purpose of logging sensor data in real time to a Google sheet and develop a network Gateway for all of our sensor devices.
This post provides an update on the near-range (up to 100m) RF branch of the Internet of Agriculture Project. New PCB design makes an improvement on a general-purpose, opensource, plug-n-play wireless sensor kit.
As this project continues to develop, it is time to begin looking to add a more practical means of implementing these systems into the environment in a small and user-friendly package. The problem? The Arduino Uno is an excellent prototyping microcontroller, it's easy to work with, has several built-in functions with many pins ready to be used, however, this ease of use and functionality comes at the cost of a bulky, power-hungry micro controller that likely can do much more than you need it to. The solution? The Adafruit (3 Volt) Pro Trinket.
This post describes all progress up to this point and the integration of LoRa communication into the currently in progress Evaporometer project.
After concluding testing on basic functionality earlier this week with positive results , it was time to dig into the real work... developing a protocol that would allow this Bluetooth LE breakout board to be used to transmit sensor data in a convenient and uniform way across the "Internet Of Agriculture" project . In addition, a second nRF08001 module was set up, and experimenting with two modules began.
This post will discuss the use of third party API, IFTTT as a possible means for recording data.
In this post I will evaluate several futures the nrf08001 Bluetooth Module and accomponing smart phone application have.
Initial setup for this project began early this week starting with soldering header pins onto the nRF08001 Bluetooth LE (Low Energy) breakout board so that a physical connection could be made with an Arduino Uno module to begin testing. This post will discuss the process in detail.
Today I confirmed that the range of the LoRa devices is at least 1-2 km; the documented range on Adafruit's website is 2km line of sight in an open area. I took a walk and brought along one LoRa radio to the far west side of campus.
Code and information to get the Arduino and ESP set up to log data on the Adafruit IO platform
In this blog post we go over how to we assembled the LoRa transmitter and receiver. We include instructions on how to set up the Arduino IDE as well as the code for our test devices.
Today I finally succeeded in getting “data” (arbitrary numbers that I either hardcoded or looped through) from the Arduino through the ESP and to Adafruit IO.
An update on my currently unsuccessful attempt to log data with the ESP8266 and the Arduino.