Project

# Title Team Members TA Documents Sponsor
63 Water Quality Monitoring System
 Haokai Liu
Harry Griggs
Jackie Fang
 Rui Gong design_document1.pdf
final_paper1.pdf
proposal1.pdf
proposal2.pdf
Water Quality Monitoring System

Team members:

Haokai Liu haokail2

Jackie Fang jackief3@illinois.edu

Harrison Griggs hgriggs2

Problem:

Access to clean water is critical for human health, agriculture, and ecosystems. However, water pollution due to industrial waste, agricultural runoff, and inadequate infrastructure poses a global threat. Current methods for monitoring water quality often involve manual sampling and lab testing which is time-consuming, expensive, and lacks real-time data. Our project addresses these issues by designing a low-cost, scalable IoT system to monitor water quality parameters in real time.

Solution

We propose an IoT-based water quality monitoring system designed to provide real-time, actionable insights into water safety. Our solution features a custom PCB that integrates the ESP32 microcontroller , sensors for pH, turbidity, temperature, and conductivity, and power/communication circuits, ensuring a compact and reliable design. The system measures critical water parameters in real time and transmits data wirelessly to a cloud dashboard for remote monitoring. Powered by solar energy, it is ideal for remote deployment and operates sustainably in off-grid environments. Additionally, the system will be low-cost, portable, and scalable, making it suitable for diverse applications such as households, farms, and public water sources. By combining affordability, real-time data, and ease of use, our solution empowers communities to monitor water quality proactively and prevent contamination risks

Solution Components(subsystems)

Core Requirements:
Microcontroller: ESP32 (QFN package, pre-soldered by lab or ordered from E-Shop).
The Microcontroller Subsystem is the core processing unit of the water quality monitoring system, responsible for acquiring, processing, and transmitting sensor data.
It collects analog and digital signals from the pH, turbidity, temperature (Digikey 480-2016-ND), and TDS sensors, converting them into digital values using its ADC. It also optimizes power usage for the battery, ensuring efficient operation with the power subsystem.
Sensor Array
The Sensor Array Subsystem is responsible for collecting real-time water quality data by measuring key parameters such as pH, turbidity, temperature, and total dissolved solids (TDS).
pH Sensor: 5016-SRV-PH-ND
Turbidity Sensor: 1738-1185-ND
Liquid Temp Sensor: Digikey 480-2016-ND (ECE 445 Parts Inventory)
TDS Sensor: DigiKey 1738-1368-ND

Communication:

The Communication Subsystem enables data transmission, remote access, and cloud integration for the water quality monitoring system. This ensures real-time monitoring and data storage for further analysis.
ESP32 Built-in Wi-Fi (QFN package).
UART Header for Programming (Through-hole pins).
IoT Connectivity: ESP32/ESP8266 for Wi-Fi or LoRa module for long-range communication.
Cloud Integration: Data sent to AWS IoT/ThingSpeak for storage and analysis.
Power System
The Power Subsystem ensures a stable and reliable energy supply for the water quality monitoring system, supporting both solar and battery-powered operation for increased efficiency and sustainability.
Solar Panel: external to PCB, connected via through-hole terminal block, Wide traces for high-current paths.
Battery Management: TP4056 Charging Module (through-hole).
Voltage Regulator (Through-hole for easy soldering).

Criterion for Success:

Our project will be considered successful if its sensors are accurate within 5% error of the calibrated lab equipment, real-time data transmission updates to the cloud every 30 minutes with less than 5% packet loss, the cost is under $150, and if it can last 24 hours on battery/solar panel,

Recovery-Monitoring Knee Brace

Dong Hyun Lee, Jong Yoon Lee, Dennis Ryu

Featured Project

Problem:

Thanks to modern technology, it is easy to encounter a wide variety of wearable fitness devices such as Fitbit and Apple Watch in the market. Such devices are designed for average consumers who wish to track their lifestyle by counting steps or measuring heartbeats. However, it is rare to find a product for the actual patients who require both the real-time monitoring of a wearable device and the hard protection of a brace.

Personally, one of our teammates ruptured his front knee ACL and received reconstruction surgery a few years ago. After ACL surgery, it is common to wear a knee brace for about two to three months for protection from outside impacts, fast recovery, and restriction of movement. For a patient who is situated in rehabilitation after surgery, knee protection is an imperative recovery stage, but is often overlooked. One cannot deny that such a brace is also cumbersome to put on in the first place.

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Solution:

Our group aims to make a wearable device for people who require a knee brace by adding a health monitoring system onto an existing knee brace. The fundamental purpose is to protect the knee, but by adding a monitoring system we want to provide data and a platform for both doctor and patients so they can easily check the current status/progress of the injury.

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Audience:

1) Average person with leg problems

2) Athletes with leg injuries

3) Elderly people with discomforts

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Equipment:

Temperature sensors : perhaps in the form of electrodes, they will be used to measure the temperature of the swelling of the knee, which will indicate if recovery is going smoothly.

Pressure sensors : they will be calibrated such that a certain threshold of force must be applied by the brace to the leg. A snug fit is required for the brace to fulfill its job.

EMG circuit : we plan on constructing an EMG circuit based on op-amps, resistors, and capacitors. This will be the circuit that is intended for doctors, as it will detect muscle movement.

Development board: our main board will transmit the data from each of the sensors to a mobile interface via. Bluetooth. The user will be notified when the pressure sensors are not tight enough. For our purposes, the battery on the development will suffice, and we will not need additional dry cells.

The data will be transmitted to a mobile system, where it would also remind the user to wear the brace if taken off. To make sure the brace has a secure enough fit, pressure sensors will be calibrated to determine accordingly. We want to emphasize the hardware circuits that will be supplemented onto the leg brace.

We want to emphasize on the hardware circuit portion this brace contains. We have tested the temperature and pressure resistors on a breadboard by soldering them to resistors, and confirmed they work as intended by checking with a multimeter.

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