ESP8266 Data Transmission to Azure IoT Hub with Ultrasonic Distance Sensor
This project enables sending data to a remote IoT hub using ESP8266 microcontroller along with an ultrasonic distance sensor. The project utilizes Arduino IDE and ESP8266WiFi library.
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## Table Of Contents
* [About the Project](#about-the-project)
* [Getting Started](#getting-started)
* [Prerequisites](#prerequisites)
* [Installation](#installation)
* [Usage](#usage)
* [Roadmap](#roadmap)
* [License](#license)
* [Authors](#authors)
## About The Project
# Detailed Project Description
## Overview
This project utilizes an ESP8266 microcontroller along with an ultrasonic distance sensor to collect distance measurements and send them to Azure IoT Hub for further processing and analysis. The ESP8266 acts as the main controller, collecting data from the sensor and establishing a connection with the Azure IoT Hub using the MQTT protocol for data transmission.
## Requirements
- Arduino IDE
## Project Components
- ESP8266 Microcontroller
The ESP8266 microcontroller serves as the central processing unit in this project. It is responsible for interfacing with the ultrasonic distance sensor, establishing a WiFi connection, and sending data to the Azure IoT Hub.
## Ultrasonic Distance Sensor
- The ultrasonic distance sensor is used to measure the distance between the sensor and an object in its vicinity. It emits ultrasonic waves and measures the time taken for the waves to bounce back, allowing for accurate distance measurements.
## Azure IoT Hub
- Azure IoT Hub is a managed service provided by Microsoft Azure for securely connecting, monitoring, and managing IoT devices. In this project, Azure IoT Hub serves as the central hub for receiving and processing data from the ESP8266 microcontroller.
## Project Workflow
- Sensor Data Acquisition: The ESP8266 microcontroller reads distance measurements from the ultrasonic distance sensor.
- Data Processing: The collected distance measurements may undergo preprocessing or filtering as required by the application logic.
- Azure IoT Hub Connection Establishment: The ESP8266 establishes a secure connection with the Azure IoT Hub using the MQTT protocol.
- Data Transmission: Once connected, the ESP8266 sends the processed distance measurements to the Azure IoT Hub at regular intervals.
- Data Analysis and Visualization: Data received by the Azure IoT Hub can be further analyzed, visualized, and acted upon using Azure services such as Azure Stream Analytics, Azure Functions, or Azure Web Apps.
## Benefits and Applications
- Real-time Monitoring: The project enables real-time monitoring of distance measurements, allowing for immediate response to changes or anomalies.
- Remote Data Collection: By leveraging Azure IoT Hub, data can be collected from multiple ESP8266 devices deployed in different locations, enabling centralized data management and analysis.
- Predictive Maintenance: Distance measurements can be used to monitor the condition of equipment or assets, allowing for predictive maintenance to prevent failures and downtime.
- Smart Infrastructure: The project contributes to the development of smart infrastructure solutions by providing accurate and timely data on object distances, which can be utilized in various applications such as smart cities, industrial automation, and home automation.
## Future Enhancements
- Integration with Azure Services: Explore integration with other Azure services such as Azure Machine Learning for predictive analytics or Azure IoT Edge for edge computing capabilities.
- Enhanced Sensor Capabilities: Incorporate additional sensors for collecting complementary data, such as temperature, humidity, or motion, to enable more comprehensive monitoring and analysis.
- Mobile Application Development: Develop a mobile application for remote monitoring and control of the ESP8266 devices and their associated sensors.
## Conclusion
- The integration of ESP8266 microcontroller with an ultrasonic distance sensor and Azure IoT Hub enables the development of scalable and robust IoT solutions for various applications. By leveraging the capabilities of both hardware and cloud platforms, the project facilitates efficient data collection, analysis, and decision-making in IoT environments.
## Getting Started
### Prerequisites
- Arduino IDE
- ESP8266WiFi library
- PubSubClient library
- ArduinoJson library
- Azure IoT C SDK
- Azure IoT Hub account and device registration
- WiFi network credentials
- Ultrasonic distance sensor
### Installation
1. Arduino IDE Setup: Download and install Arduino IDE from the official website.
2. Library Installation: Open Arduino IDE and install the required libraries using Sketch > Include Library > Manage Libraries:
ESP8266WiFi
PubSubClient
ArduinoJson
```sh
git clone https://github.com/ebekirbayar/ESP8266-Data-Transmission-to-Azure-IoT-Hub-with-Ultrasonic-Distance-Sensor.git
```
3. Azure IoT C SDK Setup: We are using a custom version of the Azure IoT C SDK for Arduino. Download the Arduino SDK from here.
4. WiFi Configuration: Update WiFi network credentials (IOT_CONFIG_WIFI_SSID and IOT_CONFIG_WIFI_PASSWORD) and Azure IoT Hub settings (IOT_CONFIG_IOTHUB_FQDN, IOT_CONFIG_DEVICE_ID, IOT_CONFIG_DEVICE_KEY) in the iot_configs.h file.
```JS
// Wifi
#define IOT_CONFIG_WIFI_SSID "YOUR WIFI SSID"
#define IOT_CONFIG_WIFI_PASSWORD "your_password"
// Azure IoT
#define IOT_CONFIG_IOTHUB_FQDN "xxxxxxxxxxx"
#define IOT_CONFIG_DEVICE_ID "Your_Device_ID"
#define IOT_CONFIG_DEVICE_KEY "Your_Device_Key_xxxxxxxxxxxxxxxxxxxx"
```
5. Sensor Connection: Connect the ultrasonic distance sensor to the ESP8266. Connect the trigPin of the sensor to a digital pin on the ESP8266 (e.g., pin 12), and the echoPin to another digital pin (e.g., pin 14).
6. Uploading Code: Upload the code in Arduino IDE and flash it to your ESP8266 device.
## Usage
Power up the device and open the serial monitor.
The ultrasonic sensor measures distance, and the data is sent to Azure IoT Hub.
You can view the data in the Azure IoT Hub console.
## Roadmap
Detailed Instructions
1. Setting Up Arduino IDE:
Download and install the Arduino IDE from the official website.
Open Arduino IDE and install the necessary libraries via Sketch > Include Library > Manage Libraries.
2. Installing Libraries:
Install the ESP8266WiFi, PubSubClient, and ArduinoJson libraries using the Library Manager in Arduino IDE.
3. Configuring Azure IoT SDK:
Download the custom Azure IoT C SDK for Arduino from the provided link.
Follow the instructions in the SDK documentation to set it up in your Arduino IDE.
4. Updating WiFi and Azure IoT Hub Credentials:
Open the iot_configs.h file and update the WiFi SSID, password, IoT Hub FQDN, device ID, and device key.
5. Connecting the Ultrasonic Sensor:
Connect the trigPin of the ultrasonic sensor to a digital pin on the ESP8266 (e.g., pin 12).
Connect the echoPin of the ultrasonic sensor to another digital pin on the ESP8266 (e.g., pin 14).
6. Uploading the Code:
Compile and upload the code to your ESP8266 device via Arduino IDE.
7. Running the Project:
Power on the device and open the serial monitor in Arduino IDE.
Observe the distance measurements from the ultrasonic sensor being sent to Azure IoT Hub.
### Creating A Pull Request
## License
Distributed under the MIT License. See [LICENSE](https://github.com/ebekirbayar/ESP8266-Data-Transmission-to-Azure-IoT-Hub-with-Ultrasonic-Distance-Sensor/blob/main/LICENSE.md) for more information.
## Authors
* **Ebubekir BAYAR** - *Computer Engineer* - [Ebubekir BAYAR](https://github.com/ebekirbayar/)