It truly has been a busy week. As that all us Cal Poly students leave tomorrow, much preparation was done this week. Many of us had to take one or more final exams, and finish final projects for our classes. Thursday night the team went out to dinner to take a small break from preparations and plan the packing of our technical equipment. On Friday we packed everything we needed from the Lair and confirmed some last minute details.
For a little more than the last week I have been helping Sara with the water and society part of ICEX. I worked to install the Omeka database system on the server space provided by the Cal Poly Computer Science Department. Due to my lack of experience in database installation it took longer than expected but on Friday it was successfully installed. The website for the database is not currently in a state that we would like to share with the public but I expect that it won't be very long until it is. Unfortunately, due to the time it took me to set up the database among the other work for this past week, I have not had the chance to work on the programming side of my project but Tyler and Tim have gotten some work done on the mounting of the Otter Box cases.These will house the salinity sensor, the pressure/temperature sensor and the PAM. See the post below for more details.
The International Computer Engineering Experience Program is an opportunity for Cal Poly and Princeton students to apply their technical knowledge in an international context and to increase global citizenship across campus.
Showing posts with label temperature. Show all posts
Showing posts with label temperature. Show all posts
Sunday, February 26, 2012
Tuesday, February 14, 2012
Scientific Data Acquisition and Modeling Project Update 2

Progress has been made since my last post. As for the sensor part of the project, the salinity sensor has been built. Tyler is currently adjusting it to be able to measure the range of salinity we expect to encounter in the cisterns. The pressure sensors that we will be using to take temperature measurements arrived about a week ago along with the PAMs. We are currently in the process of acquiring the cable used to program them. Once we program the PAMs we will connect everything together and start testing. Also the otter boxes which we will be putting the sensors in to protect from the water should be here by Wednesday

or Thursday.
As for the modelling part of the project, I have made some modest progress. I have written a CSV file parser to parse the salinity, temperature, and position data and represent it in the cistern. The visualization for this can be seen to above. Also I implemented a bounding box that will help me calculate what is in the cistern and what is not for when I do the scattered data interpolation view. This can be seen to the right.
Thursday, January 5, 2012
Winter Projects Update
The first project I worked on was researching options for salinity and temperature sensors that we could connect to our robot. I ended up writing a report that can be briefly summarized as follows:
The most used tool to collect salinity and temperature data with a VideoRay ROV is the YSI Sonde with Multiple Water Sensors. The main problems were that it was too large and too expensive. Another option was to build the sensors. I found freely available circuit diagrams for these sensors and looking at the parts they would require, building them would cost very little. The problem with this option was that whatever we make would not be guaranteed to work in our application and environment.
After the team read the report, it was agreed that the YSI Sonde with Multiple Water Sensors was too expensive and we would most likely need to build all our sensors. Fortunate for us, during the break Dr. Clark was contacted by an employee of the company that makes our ROV and was offered a temperature sensor. Currently the team is working on connecting our sensors to a microcontroller to better organize the collection of data.
The second project I worked on was the Google Earth project. This project is about displaying the cultural and scientific data, that we will be collecting in Malta and Sicily, in a way that is useful for archaeologist, marine biologists, teachers and students. I was specifically working on evaluating the application, Google Earth, as a practical way to disseminate our information. My findings supported the use of Google Earth as a way to connect geographical and location based data with the database of our scientific and cultural data. I also built an example web page connecting Google Earth with some of our older data that can be seen below.
The most used tool to collect salinity and temperature data with a VideoRay ROV is the YSI Sonde with Multiple Water Sensors. The main problems were that it was too large and too expensive. Another option was to build the sensors. I found freely available circuit diagrams for these sensors and looking at the parts they would require, building them would cost very little. The problem with this option was that whatever we make would not be guaranteed to work in our application and environment.
After the team read the report, it was agreed that the YSI Sonde with Multiple Water Sensors was too expensive and we would most likely need to build all our sensors. Fortunate for us, during the break Dr. Clark was contacted by an employee of the company that makes our ROV and was offered a temperature sensor. Currently the team is working on connecting our sensors to a microcontroller to better organize the collection of data.
The second project I worked on was the Google Earth project. This project is about displaying the cultural and scientific data, that we will be collecting in Malta and Sicily, in a way that is useful for archaeologist, marine biologists, teachers and students. I was specifically working on evaluating the application, Google Earth, as a practical way to disseminate our information. My findings supported the use of Google Earth as a way to connect geographical and location based data with the database of our scientific and cultural data. I also built an example web page connecting Google Earth with some of our older data that can be seen below.
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