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,

Master Bus Processor

Clay Kaiser, Philip Macias, Richard Mannion

Master Bus Processor

Featured Project

General Description

We will design a Master Bus Processor (MBP) for music production in home studios. The MBP will use a hybrid analog/digital approach to provide both the desirable non-linearities of analog processing and the flexibility of digital control. Our design will be less costly than other audio bus processors so that it is more accessible to our target market of home studio owners. The MBP will be unique in its low cost as well as in its incorporation of a digital hardware control system. This allows for more flexibility and more intuitive controls when compared to other products on the market.

Design Proposal

Our design would contain a core functionality with scalability in added functionality. It would be designed to fit in a 2U rack mount enclosure with distinct boards for digital and analog circuits to allow for easier unit testings and account for digital/analog interference.

The audio processing signal chain would be composed of analog processing 'blocks’--like steps in the signal chain.

The basic analog blocks we would integrate are:

Compressor/limiter modes

EQ with shelf/bell modes

Saturation with symmetrical/asymmetrical modes

Each block’s multiple modes would be controlled by a digital circuit to allow for intuitive mode selection.

The digital circuit will be responsible for:

Mode selection

Analog block sequence

DSP feedback and monitoring of each analog block (REACH GOAL)

The digital circuit will entail a series of buttons to allow the user to easily select which analog block to control and another button to allow the user to scroll between different modes and presets. Another button will allow the user to control sequence of the analog blocks. An LCD display will be used to give the user feedback of the current state of the system when scrolling and selecting particular modes.

Reach Goals

added DSP functionality such as monitoring of the analog functions

Replace Arduino boards for DSP with custom digital control boards using ATmega328 microcontrollers (same as arduino board)

Rack mounted enclosure/marketable design

System Verification

We will qualify the success of the project by how closely its processing performance matches the design intent. Since audio 'quality’ can be highly subjective, we will rely on objective metrics such as Gain Reduction (GR [dB]), Total Harmonic Distortion (THD [%]), and Noise [V] to qualify the analog processing blocks. The digital controls will be qualified by their ability to actuate the correct analog blocks consistently without causing disruptions to the signal chain or interference. Additionally, the hardware user interface will be qualified by ease of use and intuitiveness.

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