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 analyze flocculation as a means to understand plant efficiency and performance as well as to understand the underlying reasons for this.
Fall 2016
The goal of the Floc App team this semester is to create a user-friendly continuous analysis program and its executable to be used in the AguaClara labs and plants. This will be a great way for the team to get user feedback to further develop the program according to user needs. The team also aims to design an easy-to-use hardware component that is compatible with the software. 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 |
| Fall '16 | |||||
| Spring '16 |