Mathematical Equations were developed to be able to accurately control the behaviour of the different parameters involved in the operation of the sewage pump station.
Jupyter Notebook was used to interpret the equations into live codes. It provides a unique environment where you can be able to run live codes and get results from them and at the same time, visualize your results.
Python was used to write the simulation codes, create a data generating process from the simulation and also create visualizations from the generated data.
Streamlit, an open-source web application framework for Data Science solutions was used to convert the simulation system into a user-friendly web application where users like yourself can go with your specified pumping station parameters and measurements and get more insights as to how your pumping station operates in real time and also be able to detect anomalies and system faults.
Amazon Web Services(AWS) was used to deploy the application on the web to ensure that the product is easily accessible and always available.
Sewage Digital®
A user-friendly interactive web application where users can input their specified pumping station parameters and measurements and get more insights as to how their pumping station operates in real time and also be able to detect anomalies and system faults.
Whitepaper
A detailed description of the project highlighting the problem, the solution, the challenges and the overall direction of the project. This makes it easier to understand the project and potentially build upon it.
Presentation
A Presentation slide was prepared to showcase the outcomes of the project to a technical and non-technical audience.