lily-open-source/vehicle-monitoring

Monitor your vehicle with precision using ESP32, GPS, and a 6-axis accelerometer. Real-time GPS coordinates, speed data, and filtered accelerometer information are transmitted to Adafruit IO. Deep sleep mode conserves power during idle periods. Customize this foundation for your specific needs.

Vehicle Monitoring with ESP32, GPS, and Accelerometer

Table of Contents

• Overview
• Components
• Dependencies
• Setup
  • Wiring
  • WiFi Configuration
  • Adafruit IO Setup
  • Upload the Code
• Operation
• Data Visualization
• Power Management
• Additional Notes
• Flowchar

Overview

This project utilizes an ESP32 microcontroller, a GPS module, and a 6-axis accelerometer (GY-521) to monitor and publish real-time data about a moving vehicle. The data includes GPS coordinates, vehicle speed, and filtered accelerometer information.

Components

• ESP32 DevKit v1: Microcontroller for processing and communication.
• GPS Module: Provides latitude, longitude, and speed data.
• GY-521 6-Axis Accelerometer: Measures acceleration and orientation.

Dependencies

• Adafruit GPS Library
• Adafruit MPU6050 Library

Ensure that these libraries are installed in your Arduino IDE.

Setup

1. Wiring

   • Connect the GPS module and GY-521 accelerometer to the ESP32 using appropriate pins.
   • Refer to the comments in the code for pin configurations.

2. WiFi Configuration

   • Update the WIFI_SSID and WIFI_PASS variables in the code with your WiFi credentials.

3. Adafruit IO Setup

   • Create an account on Adafruit IO.
   • Set up feeds for GPS, Speed, and Acceleration.
   • Update the MQTT configuration variables (MQTT_SERVER, MQTT_PORT, MQTT_USERNAME, MQTT_KEY) with your Adafruit IO information.

4. Upload the Code

   • Upload the modified code to your ESP32 using the Arduino IDE.

Operation

• The ESP32 reads GPS data, including latitude, longitude, and speed.
• Accelerometer data is filtered using a complementary filter to obtain accurate pitch and roll.
• The filtered data (GPS, speed, and accelerometer) is published to Adafruit IO via MQTT.

Data Visualization

• Monitor your vehicle's data in real-time on the Adafruit IO dashboard.
• View GPS coordinates, speed, and filtered accelerometer information.

Power Management

• The code includes a deep sleep mode to minimize power consumption during idle periods.
• Adjust the sleep duration based on your application's requirements.

Additional Notes

• This code is a foundation for vehicle monitoring. Customize it based on your specific needs.
• Refer to the comments in the code for detailed explanations of configurations and adjustments.

Flowchart

graph TD
  subgraph Initialization
    A[Initialize ESP32] -->|Setup WiFi| B[Connect to WiFi]
    B -->|Setup GPS| C[Initialize GPS Module]
    C -->|Setup Accelerometer| D[Initialize MPU6050]
  end

  subgraph Main Loop
    D -->|Read GPS Data| E[Parse GPS Data]
    E -->|Valid GPS Fix| F[Calculate Speed]
    F -->|Read Accelerometer| G[Filter Accelerometer Data]
    G -->|Publish Data| H[Publish to Adafruit IO]
    H -->|Deep Sleep| I[Enter Deep Sleep Mode]
  end

  B -->|Reconnect if Disconnected| B

  style A fill:#86B300
  style B fill:#86B300
  style C fill:#86B300
  style D fill:#86B300
  style E fill:#5DADE2
  style F fill:#5DADE2
  style G fill:#5DADE2
  style H fill:#5DADE2
  style I fill:#EC7063