The water infrastructure of Chicago has been an important issue for this metropolis for a long time. Though close to Lake Michigan and Chicagoan has completed several amazing construction to serve its citizen, the combined sewer system left problematic situation when facing storm rain.
Aim for researching this giant infrastructure in order to improve it, we first has to built a simulation model of this system. With the technology of GIS and Sensor, we expect there will be a responsive system built to deal with the unpredictable rainfall, aid current TARP system to work better and reduce the sewer overflow.
1. Analyze current infrastructure, using UML diagram to design a digital model to simulate the weather changing and accordingly what situation will the system be facing and how will it fail. Using routing to test the flow of waste water.
2. Brainstorm and exploring new solution for that.
3. Connect Design solution with simulation data, create responsive intelligent system. For instance, movable facility to leading water path; using changeable infiltration material in large open space to adjust flow of sewer in real time.