Ivan-cs488-paper

Inexpensive, portable and expendable open source environmental monitoring platform with integrated geocoding

Abstract

The aim of my senior project is to create an inexpensive and portable platform for environmental monitoring sensors. In order to achieve this goal, my paper will deeply explore both hardware and open source software solutions with a final goal of creating a simple monitoring platform consisting of one environmental sensor and a frame support software. A very strong emphasis will be placed on integrated advanced geocoding of data for any sensor reading conducted by this monitoring platform.

Introduction

Everything our civilization have learned so far about the great planet we all live in is mainly coming from observing and monitoring the environment around us. Understanding how our planet works and predicting its behavior is very important and one of the underlying ideas of modern science. In order to implement successful experiments and observations, a complete understanding of complicated environment sensors/instruments is crucial. I personally believe that complexity of monitoring sensors devices such as different operating systems, variety unstandardized data formats they generate and particularly high cost are creating significant friction for many ?eld scientist (mainly Biologists, Chemists, Geologists, Physicists and Environmental Scientists) to do the actual science.

My inexpensive and portable platform aims to remove friction related to extremely steep learning time curve (which is not useful) for every individual monitoring device, their operating systems and variety of different data ?les they generate. The entire project is going to be part of the open source community which will make it easy for everybody to integrate any other sensor with USB interface in to this system.

Main reason for high cost of monitoring devices

A simple water quality meeter, with closed software, inability to add any other sensor probe to it and without any possibility of directly geocoding collected data costs around $2,500. If we are planing to monitor water, air and soil the total device cost will add up close to $8,000. Taking in consideration the fact that none of those devices is able to geocode generated data, we have to add jet another device, a Global Positioning System (GPS). Having four different monitoring platforms, dealing with inconsistency in their underlying architectures, operating systems and geocodeless readings they generate is more than inconvenient and extremely expensive.

The problem is more than obvious, every sensor has its unique computer platform attached to it whose main job is to communicate with a sensor probe and take readings from it. In the case of water quality meeter, platform to where water probe is connected costs 5 times more than probe itself. Cost is high because every basic computer platforms has its screen, memory, battery...

Solution

The easiest way to significantly reduce the cost of monitoring devices it to have one platform with one battery, one screen and one memory capable of accepting variety of different sensor probes such as water, air and soil quality probes.

My plan is to use an Android Nexus 7 whose cost is $199,0 for base platform. The main reason behind this decision is its low cost, integrated GPS device (Integrated Monolithic GPS Receiver - BCM4751) as well as few more sensors (Gyro sensor, Magnetometer, Accelerometer), well documented USB interface, quad-core processor, open source operating system and great reputation and reviews.

My research showed that stand alone USB water, air and soil probes are available on market and their costs vary from $100 to $500.

Geocoded data

Everything our civilization have learned so far about the great planet we all live in is mainly coming from observing and monitoring the environment around us. Understanding how our planet works and predicting its behavior is very important and one of the underlying ideas of modern science. In order to implement successful experiments and observations, a complete understanding of complicated environment sensors/instruments is crucial. I personally believe that complexity of monitoring sensors devices such as different operating systems, variety unstandardized data formats they generate and particularly high cost are creating significant friction for many ?eld scientist (mainly Biologists, Chemists, Geologists, Physicists and Environmental Scientists) to do the actual science.

My inexpensive and portable platform aims to remove friction related to extremely steep learning time curve (which is not useful) for every individual monitoring device, their operating systems and variety of different data ?les they generate. The entire project is going to be part of the open source community which will make it easy for everybody to integrate any other sensor with USB interface in to this system.

As we can see on the algorithm diagram, everything starts with the button Collect which will take three reading of latitude and longitude, average them up and store one final value in csv file column number 1 and 2. Once this process is complete, three reading of altitude will be taken and average will be stored in the csv file in column number 3. Furthermore, column number 4 will be populated with magnetic ?eld data. The date and time will be stored in the column number 5 and 6. This part is going to happen every time one press the collect button regardless of which sensor probe is plugged to the monitoring platform. The column number 7 will have a unique key which will correspond to the person who is currently using the monitoring platform. The cvs column number 8 will contain name of the device (water, air, soil, temperature...) and after column 8 other instances of data will contain specific parameters generated by different probes.

After pressing Collect, this output should be stored to memory: 39.82427190, -84.91212248, 299, 334-834, 10.26.2012, 2:25, IvanBabic001688412, thermometer, 16

Base sensor

My sample sensor will be Yocto-Meteo, a device developed in Switzerland capable of measuring via USB the current humidity, pressure, and temperature. Designer of this product claims that device has accuracy of 0.3°C for temperature, about 4% for the humidity rate, and 1mbar for the atmospheric pressure (my personal test of precision and accuracy of Yocto-Meteo will be documented in 5.1). Furthermore, Yocto-Meteo has integrated data logger capable of recording data on its internal flash for later retrieval when connected again by USB (this function wont be used for my preliminary device test stage).

Validating of sensors precision and accuracy

Sensors precision and accuracy is the most important factor of any research. I ma using temperature probe as my first sensor because I have the ability to test both its precision and accuracy.

The best way to check devices precision is to have multiple Yocto-Meteo devices, put them in the same environment and record their data at the same time.

One of the ways to check accuracy is to use multiple different thermometers, place them in the same environment, take readings at the same time and compare them to Yocto-Meteo readings.

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