Windows IoT Community

Project Overview

The Industrial Monitoring project aims to provide a comprehensive solution for real-time data acquisition, processing, and visualization from industrial equipment. By utilizing Windows IoT as the underlying platform, we can achieve high reliability, seamless integration with existing enterprise systems, and access to a rich ecosystem of development tools and services.

This project showcases how to connect sensors, microcontrollers, and industrial PLCs to a Windows IoT device, process incoming data streams, and display critical information through a user-friendly dashboard.

Key Features

• Real-time Data Acquisition: Collect data from various industrial sensors (temperature, pressure, vibration, current, etc.) using protocols like Modbus, OPC UA, or custom serial interfaces.
• Edge Processing: Perform data filtering, aggregation, and basic analytics directly on the IoT device to reduce latency and bandwidth usage.
• Cloud Connectivity: Securely transmit processed data to cloud platforms (e.g., Azure IoT Hub, AWS IoT) for advanced analytics, historical storage, and remote access.
• Dashboard Visualization: Develop interactive dashboards to monitor key performance indicators (KPIs), receive alerts, and visualize historical trends.
• Scalability: Design for deployment across multiple machines and facilities, managing them centrally.
• Security: Implement robust security measures at the device, network, and cloud layers.

Technology Stack

• Hardware: Windows IoT-enabled devices (e.g., Industrial PCs, embedded systems with Windows IoT Enterprise).
• Connectivity: Ethernet, Wi-Fi, Cellular (LTE/5G), Serial (RS-232/485), USB.
• Protocols: MQTT, AMQP, Modbus TCP, OPC UA, HTTP/REST.
• Development: .NET (C#, VB.NET), C++, Python.
• Cloud: Azure IoT Hub, Azure Digital Twins, Azure Time Series Insights, AWS IoT Core.
• Visualization: UWP apps, Web dashboards (ASP.NET Core, Blazor), Grafana, Power BI.

Project Architecture

The architecture typically involves the following components:

1. Data Sources: Industrial sensors and machines.
2. Edge Gateway: A Windows IoT device acting as the central hub for data collection and initial processing.
3. Data Ingestion: Software on the edge device to read data from sources.
4. Edge Analytics: Algorithms for local data processing and anomaly detection.
5. Cloud Connector: Securely sends data to the cloud.
6. Cloud Platform: For storage, advanced analytics, and device management.
7. Presentation Layer: Dashboards and applications for users to interact with the data.

Demonstration & Gallery

Here are some visuals and concepts from the Industrial Monitoring project:

Conceptual Sensor Network

Windows IoT Edge Gateway

Real-time Monitoring Dashboard

Alert and Notification System

Getting Started

To implement a similar solution:

1. Choose a suitable Windows IoT-enabled hardware platform.
2. Select your sensors and industrial communication interfaces.
3. Develop an edge application using .NET or C++ to acquire and process data.
4. Integrate with a cloud IoT service for data storage and analysis.
5. Create a user interface or dashboard for visualization.

Explore the Windows IoT sample repositories for code examples and best practices.