Project

# Title Team Members TA Documents Sponsor
27 Kombucha Fermentation Control System
Edwin Xiao
John Puthiaparambil
Rudy Beauchesne
Haocheng Bill Yang design_document1.pdf
proposal1.pdf
# Kombucha Fermentation Control System

Team Members:
- Rudy Beauchesne (rudyb2)
- John Puthiaparambil (jtp7)
- Edwin Xiao (edwinyx2)

# Problem
Home kombucha brewing is becoming increasingly popular, but most options fall into two extremes: expensive commercial systems with automated control, or low-cost DIY methods that depend on frequent manual checks and guesswork. As a result, home brews are often inconsistent from batch to batch, with fermentation running too slow or too fast, acidity drifting outside the desired range, or the process stalling without clear feedback. This unpredictability can lead to inconsistent flavor and, in the worst case, failed or spoiled batches. There is a need for a low-cost, repeatable kombucha brewing system that continuously monitors key conditions like temperature and pH and provides clear, reliable feedback with minimal user intervention.

# Solution
We propose a low-cost, closed-loop kombucha brewing system designed to make home fermentation more consistent and repeatable. A microcontroller on a custom PCB continuously reads temperature, pH, RGB color, ultrasonic liquid level, and pressure sensors to track fermentation conditions and progress. Using these measurements, the system controls a heating pad to regulate temperature and peristaltic pumps to add fresh tea or remove liquid as needed based on user-defined targets. If feasible within budget, the system will also include a small optional aeration pump (air pump + sterile filter) for primary fermentation to provide controlled aeration during primary fermentation. A companion companion app dashboard (web-based) displays real-time status and logs trends over time so users can monitor brewing without constant manual checking.

# Solution Components
Subsystem 1: Fermentation Monitoring & Control

This subsystem monitors the primary fermentation conditions and regulates temperature to keep the brew in a stable range.

Functionality:
- Continuously measure temperature, pH, and color trends during F1
- Drive a heating pad to maintain a user-defined temperature setpoint and control pumps for automated liquid handling
- Send sensor data to the main controller for closed-loop control and logging

Sensors / Components:

- Temperature sensor: DS18B20
- Ultrasonic liquid-level sensor: HC-SR04 measures the brew height/volume to detect evaporation and prevent overfilling/underfilling during pump-based tea additions or liquid removal
- pH Sensor: Analog pH probe + signal conditioning (PH-4502C module or equivalent front-end)
- RGB Color Sensor: TCS34725
- Heating Element: Resistive heating pad controlled via MOSFET
- Peristaltic pump(s): 12 V peristaltic pump (food-safe tubing)
- Microcontroller: ESP32

Subsystem 2: Fermentation State & Safety Monitoring

This subsystem monitors secondary fermentation indicators and system safety.

Functionality:
- Measure internal pressure buildup during fermentation
- Detect abnormal fermentation conditions (overpressure or stalled fermentation)
- Provide safety cutoffs and alerts if thresholds are exceeded

Sensors / Components:
- Pressure Sensor: MPX5700AP or equivalent pressure transducer
- Signal Conditioning Circuit: Instrumentation amplifier and filtering
- Safety Cutoff: Relay or solid-state switch for heater disable
- Status Indicators: LEDs for system state and fault indication

Subsystem 3: Data Logging & Web Interface
This subsystem provides real-time data logging and user visibility through a web-based dashboard.
Functionality:
- Transmit sensor data (temperature, pH, color, pressure) to a web server
- Log historical fermentation data for later analysis
- Display real-time plots and system status via a browser-based interface

Sensors / Components:
- Wireless Interface: ESP32 integrated Wi-Fi
- Backend: Lightweight web server or cloud-hosted database (e.g., HTTP/MQTT-based logging)
- Frontend: Web dashboard displaying time-series sensor data and system state

Subsystem 4: Power Management

This subsystem provides regulated and reliable power to all system components.

Functionality:
- Supply 12 V power to the heating pad and pumps
- Step down 12 V to 3.3 V for logic and sensors
- Isolate high-power and low-power domains for safety and noise reduction

Sensors / Components:
- Power Source: 12 V wall adapter
- Regulation: DC-DC buck converter (12 V → 3.3 V)
- Loads: Heating pad, pumps, ESP32, and sensors

Criterion For Success:
- Maintain fermentation temperature within ±1°C of the target setpoint for a continuous 48-hour period
- Measure pH with ≥0.1 pH resolution and maintain ±0.2 pH accuracy after calibration
- Detect and log measurable color changes correlated with fermentation progression
- Maintain safe operating pressure below a defined threshold and trigger a shutdown if exceeded
- For the final demo, we will start from a deliberately off-condition brew (ice-cooled and pH shifted away from target) and show the system autonomously returning temperature and pH to a reasonable kombucha range using the heating pad and peristaltic pumps while logging and plotting all sensor trends live in the app

This project involves significant circuit-level hardware design, including sensor signal conditioning, power management, actuator control, and embedded system integration. The scope and complexity are appropriate for a multi-person team and align with the course requirements.

Electronic Automatic Transmission for Bicycle

Tianqi Liu, Ruijie Qi, Xingkai Zhou

Featured Project

Tianqi Liu(tliu51)

Ruijie Qi(rqi2)

Xingkai Zhou(xzhou40)

Sometimes bikers might not which gear is the optimal one to select. Bicycle changes gears by pulling or releasing a steel cable mechanically. We could potentially automate gear changing by hooking up a servo motor to the gear cable. We could calculate the optimal gear under current condition by using several sensors: two hall effect sensors, one sensing cadence from the paddle and the other one sensing the overall speed from the wheel, we could also use pressure sensors on the paddle to determine how hard the biker is paddling. With these sensors, it would be sufficient enough for use detect different terrains since the biker tend to go slower and pedal slower for uphill or go faster and pedal faster for downhill. With all these information from the sensors, we could definitely find out the optimal gear electronically. We plan to take care of the shifting of rear derailleur, if we have more time we may consider modifying the front as well.

Besides shifting automatically, we plan to add a manual mode to our project as well. With manual mode activated, the rider could override the automatic system and select the gear on its own.

We found out another group did electronic bicycle shifting in Spring 2016, but they didn't have a automatic function and didn't have the sensor set-up like ours. Commercially, both SRAM and SHIMANO have electronic shifting products, but these products integrate the servo motor inside the derailleurs, and they have a price tag over $1000. Only professionals or rich enthusiasts can have a hand on them. As our system could potentially serve as an add-on device to all bicycles with gears, it would be much cheaper.

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