Accomplishments
- Design Report: Finalized and submitted the Design Report
- Hardware Setup: Completed Pi5 SSH setup and connection to the on-campus network
- UART Communication: Began developing and debugging UART communication between Pi5 and Pico
- PWM & Sensor Code: Started implementing PWM control on the Pico and sensor code on the Pi5
- All off-the-shelf components have arrived
- Verified dimensions and adjusted CAD models accordingly
Significant Risks
- Need to get custom-cut parts fabricated after Fall Break before full assembly can begin
- UART communication and PWM development are behind schedule due to debugging and setup time for the Pico and Pi5
- Risk mitigation: Continue code testing with partial assembly and move forward on database and sensor code setup in parallel
Design Changes
- Flask + SSE alert system changed to a simplified alert system running locally on the Pi 5 terminal, as Flask integration is not necessary
Schedule Changes
- Schedule remains the same
- Team generally on track for post-break sprint code development and assembly
Global Factors
Aidan
Part A: Our system considers global factors by addressing a need to improve hardware reliability and longevity as demand for liquid cooled PCs increases worldwide. By focusing our product on providing data-driven solutions, it aims to support a diverse array of technology through a global push towards sustainability. Given the function of our product is geared towards reducing hardware replacements and decreasing energy waste caused by inefficient cooling, the end solution aligns with broader environmental goals by enhancing global initiatives towards sustainable electronics.
Cultural Factors
Jacob
Part B: The product design carefully considers the diverse interactions between the world, PCs, and human-computer interaction. This is executed by utiizing user-friendly interfaces for interacting with our product and providing transparent and functional configuration. Through training the ML model at multiple CPU loads, the end product aims to provide adaptability, respecting the global culture of PC customization and performance tuning, given the endless unique pre-existing setups. Designing a system to perform reliably under varying usage supports user freedom to tailor their machines to their own specific use cases, while maintaining the same level of protection and oversight by our product.
Environmental Factors
Kristina
Part C: One environmental consideration of our system is reducing both energy and water waste in liquid-cooled computing systems. By detecting cooling inefficiencies early, the system prevents pumps and fans from running at unnecessarily high speeds and helps maintain proper coolant flow, lowering overall power consumption.
Early fault detection also prevents thermal stress over time that can cause leaks or excess coolant evaporation in water-cooled loops. This conserves water and reduces the need for maintenance refills. In large data centers, improving cooling efficiency in this way can reduce energy usage and water waste, making the system more sustainable overall.

