Windows IoT Community

Empowering Innovation with Microsoft IoT Technologies

Project: Real-Time Asset Tracking with Windows IoT

[Placeholder for Project Diagram/Image]

This project demonstrates how to leverage Windows IoT Core and various hardware components to build a robust, real-time asset tracking solution. Ideal for logistics, inventory management, and smart facilities.

By integrating GPS modules, accelerometers, and network connectivity on an embedded device running Windows IoT, we can monitor the location, movement, and status of valuable assets in real-time.

Key Features

  • Real-time Location Monitoring: Track assets on a map interface.
  • Geofencing Capabilities: Receive alerts when assets enter or leave predefined zones.
  • Movement Detection: Utilize accelerometers to detect motion and unexpected movement.
  • Battery Level Monitoring: Ensure devices remain operational.
  • Scalable Architecture: Designed to handle a large number of tracked assets.
  • Secure Data Transmission: Implement robust security protocols for data.
  • Cloud Integration: Seamlessly send data to cloud platforms like Azure IoT Hub for further analysis and visualization.

Technical Details

This solution typically involves the following components:

Hardware Components:

  • Single Board Computer (SBC): Raspberry Pi 3/4 or similar, running Windows IoT Core.
  • GPS Module: For accurate location data.
  • Accelerometer/Gyroscope: For motion and orientation sensing.
  • Cellular or Wi-Fi Module: For network connectivity.
  • Power Management: Battery pack with charging capabilities.

Software Stack:

  • Operating System: Windows IoT Core.
  • Development Language: C#, C++.
  • Frameworks: .NET Core, UWP (Universal Windows Platform).
  • Cloud Services: Azure IoT Hub, Azure Maps, Azure Cosmos DB.

Example Code Snippet (C# for Azure IoT Hub):

Sending telemetry data to Azure IoT Hub

using Microsoft.Azure.Devices.Client;
using Newtonsoft.Json;
using System;
using System.Text;
using System.Threading.Tasks;

public class AssetTrackerDevice
{
    private DeviceClient deviceClient;
    private readonly string iotHubDeviceConnectionString = "YOUR_DEVICE_CONNECTION_STRING"; // Replace with actual connection string

    public AssetTrackerDevice()
    {
        deviceClient = DeviceClient.CreateFromConnectionString(iotHubDeviceConnectionString, TransportType.Mqtt);
    }

    public async Task SendAssetDataAsync(double latitude, double longitude, bool isMoving)
    {
        var telemetryData = new
        {
            messageId = Guid.NewGuid().ToString(),
            deviceId = "assetTracker001", // Replace with actual device ID
            latitude = latitude,
            longitude = longitude,
            isMoving = isMoving,
            timestamp = DateTime.UtcNow
        };

        var messageString = JsonConvert.SerializeObject(telemetryData);
        var message = new Message(Encoding.UTF8.GetBytes(messageString));

        await deviceClient.SendEventAsync(message);
        Console.WriteLine($"Sent message: {messageString}");
    }

    // Other methods for handling sensors and device logic...
}
                

Getting Started

To implement this project, you will need:

  • A Windows IoT Core compatible device (e.g., Raspberry Pi).
  • The required hardware components (GPS, accelerometer, etc.).
  • An Azure subscription for cloud services.
  • Visual Studio with the Windows IoT development workload installed.

Detailed guides, schematics, and full code repositories can be found in the official Microsoft Learn documentation and on GitHub.

View Full Code Repository Access Documentation