Industrial IoT, AI & Azure/AWS IoT Specialist

Offerings
Industrial IoT Demos
Visualize OPCUA Data using AWS IoT Sitewise Visualize OPCUA Data using Kepware & AWS IoT Sitewise Visualize OPCUA Data using Ignition & AWS Timestream Digital Twin Modelling & Visualization of OPCUA Data using AWS Twinmaker Visualize Telemetry Data from Multiple Edge Gateways using Fabric Visualize OPCUA Data using Kepware & Microsoft Fabric Visualize OPCUA Data using Azure IoT Edge & Microsoft Fabric Digital Twin Modelling & Visualization using Azure Visualize OPCUA Data using Ignition
Artificial Intelligence Demos
Anomaly Detection & Predictive Maintenance using AWS Lookout for Equipment Machine Failure Prediction using Azure Machine Learning Prediction using Azure ML & Visualization using Microsoft Fabric Copilot for Custom data using Azure OpenAI Image Anaysis using Azure AI Vision Translate Speech & Text using Azure AI Document Intelligence using Azure AI OpenAI Canvas App using Microsoft Power Apps
Other (Misc) Demos
Visualize Telemetry Data using Azure Event Streams, Lakehouse & Power BI Visualize Telemetry Data using AWS IoT & Grafana Visualize Telemetry Data using Azure Web App Visualize Telemetry Data using Azure Stream Analytics & Power BI Lakehouse Solution using Microsoft Fabric Model Driven App Solutions using Microsoft Power Apps
About

Visualize OPCUA Data using Azure IoT Edge and Microsoft Fabric

Simulated OPCUA Server Data using python code and consumed this data by using an OPCUA client which is an OPC Publisher module running on an Azure IoT Edge runtime deployed on a Raspberry Pi (ARM core device). The Azure IoT Edge device acts as an OPCUA Client and does the protocol translation and sends the telemetry to Azure IoT Hub using MQTT protocol in JSON format. The data is then captured, transformed, and ingested into a KQL database in the Microsoft Fabric platform. Lastly, generated functional visual charts using Power BI to visualize the ingested OPCUA data which is stored in the KQL database in Microsoft Fabric.

NOTE: The below demo video is hosted on YouTube and incase you are unable to view this demo video then access has to be specifically provided.