ReadMe

Author: RajWasarwad

Imgs/Circuit.png

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+# Aido Robot: Sensor Hub and Data Fusion (Simulated)
+
+> ⚠️ **Disclaimer:** This is a simulated project developed for educational and demonstration purposes. It is **not** an actual implementation of the Aido Robot hardware but is intended to showcase the core logic, design architecture, and data fusion principles used in a sensor hub system.
+
+## 📌 Project Overview
+
+This project simulates the working of a **Sensor Hub and Data Fusion System** for the Aido Robot — a multi-sensor, intelligent companion robot. It models how various environmental and proximity sensors can be integrated with intelligent data polling, logging, and air quality assessment.
+
+## 🔧 Technologies Used
+
+- **STM32 Blue Pill (STM32F103C6)** microcontroller
+- **Proteus** for simulation
+- **STM32CubeIDE** for embedded development
+- **C (Bare-metal)** programming
+- External `.c/.h` module structure
+
+## 🧠 Key Features
+
+- ✅ **Adaptive Sensor Polling** based on environmental triggers and thresholds  
+- ✅ **Sensor Power Management** using GPIO control to reduce energy consumption  
+- ✅ **Structured Sensor Representation** via `sensor_t` struct for modular design  
+- ✅ **Data Logging** with FIFO buffer mechanism for temporary storage  
+- ✅ **Advanced AQI Calculation** using pollutant concentration data  
+- ✅ **Sleep/Stand-by Modes** to improve overall system efficiency  
+- ✅ **Integration with IR and Ultrasonic Sensors** for obstacle detection  
+- ✅ **Modular Codebase** structured for scalability and hardware independence
+
+## 📈 Sensors Simulated
+
+| Sensor      | Type                                        | Functionality                        | Polling  | Logging  |
+|-------------|---------------------------------------------|--------------------------------------|----------|----------|
+| DHT22       | Temp & Humidity                             | Adaptive polling, comfort zone logic | ✅       | ✅       |
+| MQ135       | Gas Sensor (CO, etc)                        | Adaptive on fluctuations             | ✅       | ✅       |
+| BME688      | Env. Sensor (Gas, Pressure, Temp, Humidity) | Adaptive                             | ✅       | ✅       |
+| Ultrasonic  | Distance                                    | Continuous object detection          | ✅       | ❌       |
+| IR Sensor   | Obstacle detection                          | Continuous sensing                   | ✅       | ❌       |
+
+## 📊 Air Quality Index (AQI)
+
+AQI is calculated using individual pollutant indexes based on the following formula:
+$$ I=\frac{(Ihigh​−Ilow​)}{(Chigh​−Clow​)}​×(C−Clow​)+Ilow​ $$
+𝐼   : AQI value \
+𝐶   : Pollutant concentration \
+𝐶𝑙𝑜𝑤 , 𝐶ℎ𝑖𝑔ℎ  ​ : Concentration range \
+𝐼𝑙𝑜𝑤 , 𝐼ℎ𝑖𝑔ℎ  ​ : AQI range for that concentration
+
+- Based on 24-hour averages for PM2.5
+- Based on 8-hour averages for CO, NO2, etc.
+- Overall AQI determined by the highest individual AQI
+
+## 📚 Project Structure
+
+    |-- Core/
+        |
+        ├── src/ 
+        │ ├── main.c 
+        │ ├── sensor_logger.c
+        │ ├── aqi.c
+        | |-- DHT22.c
+        |
+        ├── inc/ 
+        │ ├── main.h 
+        │ ├── sensor_logger.h
+        │ ├── aqi.h
+        | |-- DHT22.h
+        ├── README.md 
+    
+    |--- Debug/
+        |
+        |-- Aido SensorHub.hex 
+
+---
+
+## 📷 Circuit Diagram
+
+> Proteus-based schematic showing STM32 Blue Pill and connected sensors.
+
+![Circuit Diagram](/Imgs/Circuit.png)
+
+---
+
+## 🔁 System Flow Chart
+
+> A high-level flow diagram of sensor polling, data logging, and AQI processing.
+
+![System Flowchart](/Imgs/Flow.png)
+
+---
+
+## ⚙️ Pin Configuration
+
+> GPIO pin mapping of each sensor and peripherals to the STM32 controller.
+
+![Pin Configuration](/Imgs/Pins.png)
+
+## 📂 DHT22 GitHub Repository
+
+Used the external Library for Dht22 from "MrHause":  
+👉 **[GitHub Link](https://github.com/MrHause/DHT22_STM32_HAL_LIBRARY)**
+
+---
+
+## 📌 Future Scope
+
+- Real hardware deployment and calibration  
+- Integration with machine learning models for predictive analytics  
+- Live AQI display and data cloud sync
+
+---
+
+🛠️ Feel free to fork, study, and build upon this simulation.  
+📩 Contributions and suggestions are always welcome!