Project

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

STRE&M: Automated Urinalysis (Pitched Project)

Gage Gulley, Adrian Jimenez, Yichi Zhang

STRE&M: Automated Urinalysis (Pitched Project)

Featured Project

Team Members:

- Gage Gulley (ggulley2)

- Adrian Jimenez (adrianj2)

- Yichi Zhang (yichi7)

The STRE&M: Automated Urinalysis project was pitched by Mukul Govande and Ryan Monjazeb in conjunction with the Carle Illinois College of Medicine.

#Problem:

Urine tests are critical tools used in medicine to detect and manage chronic diseases. These tests are often over the span of 24 hours and require a patient to collect their own sample and return it to a lab. With this inconvenience in current procedures, many patients do not get tested often, which makes it difficult for care providers to catch illnesses quickly.

The tedious process of going to a lab for urinalysis creates a demand for an “all-in-one” automated system capable of performing this urinalysis, and this is where the STRE&M device comes in. The current prototype is capable of collecting a sample and pushing it to a viewing window. However, once it gets to the viewing window there is currently not an automated way to analyze the sample without manually looking through a microscope, which greatly reduces throughput. Our challenge is to find a way to automate the data collection from a sample and provide an interface for a medical professional to view the results.

# Solution

Our solution is to build an imaging system with integrated microscopy and absorption spectroscopy that is capable of transferring the captured images to a server. When the sample is collected through the initial prototype our device will magnify and capture the sample as well as utilize an absorbance sensor to identify and quantify the casts, bacteria, and cells that are in the sample. These images will then be transferred and uploaded to a server for analysis. We will then integrate our device into the existing prototype.

# Solution Components

## Subsystem1 (Light Source)

We will use a light source that can vary its wavelengths from 190-400 nm with a sampling interval of 5 nm to allow for spectroscopy analysis of the urine sample.

## Subsystem2 (Digital Microscope)

This subsystem will consist of a compact microscope with auto-focus, at least 100x magnification, and have a digital shutter trigger.

## Subsystem3 (Absorbance Sensor)

To get the spectroscopy analysis, we also need to have an absorbance sensor to collect the light that passes through the urine sample. Therefore, an absorbance sensor is installed right behind the light source to get the spectrum of the urine sample.

## Subsystem4 (Control Unit)

The control system will consist of a microcontroller. The microcontroller will be able to get data from the microscope and the absorbance sensor and send data to the server. We will also write code for the microcontroller to control the light source. ESP32-S3-WROOM-1 will be used as our microcontroller since it has a built-in WIFI module.

## Subsystem5 (Power system)

The power system is mainly used to power the microcontroller. A 9-V battery will be used to power the microcontroller.

# Criterion For Success

- The overall project can be integrated into the existing STRE&M prototype.

- There should be wireless transfer of images and data to a user-interface (either phone or computer) for interpretation

- The system should be housed in a water-resistant covering with dimensions less than 6 x 4 x 4 inches

Project Videos