Floc Size and Count App (Floc App)
Introduction
Turbidity measurements provide the primary source of performance monitoring at many water treatment plants. Turbidity provides an excellent way to measure overall plant performance, but it does not provide insight as to why the water treatment plants are performing well or poorly. The Floc Size and Count App team aims to overcome this problem by creating a tool for operators to analyse flocculation as a means to understand plant efficiency and performance and understand the underlying reasons for this.
Fall 2016
The aim of the Floc Size and Count App for the semester is to combine the two separate working parts of the program (data acquisition and analysis) into one user-friendly executable that could be used in the lab space on Cornell. This would provide user feedback for further development of the program. The team also hopes to design a hardware component that could be easily used in the plants and in the lab that is compatible with the current software. The team plans to expand the scope of the program to include continuous image capture and analysis and researching ways to implement this goal. The team is also working on adding comments to the existing code to make it easier to understand the processes from an outsider point of view.
Spring 2016
The team started the implementation of an easy-to-use desktop application that would measure floc size distribution that is written in LabVIEW. The team completed image acquisition and analysis parts for the final application. The connection of these two separate programs were not finished this semester. The team also increased readability of the existing code by the partitioning the code into subsections via the creation of functions.
Members
Deniz Yilmazer: dy223@cornell.edu
Anthony Verghese: akv26@cornell.edu
Christian Rodriguez: cer95@cornell.edu
Documents
| Challenges | Tasks | Symposium | Final Presentation | Final Report |
| Spring '16 | |||||
| Fall '16 |