My play by play of Inductive Automation and Cirrus Link Solutions ProveIt session: 1️⃣ Starting at the Edge: Local Data Collection & HMI Visualization 🔹 The demo began at the machine level, where a press was connected to an OPC UA server. 🔹 An HMI provided real-time visualization, displaying temperature readings, setpoints, and alarms. 🔹 Using Unified Data Types (UDTs), they created a standard object model for the press, ensuring metadata (units, thresholds, alarms) was structured consistently. 2️⃣ Publishing Data to the Plant-Level SCADA System 🔹 The MQTT Transmission Module was configured to publish data from the edge to an Ignition Gateway running at the plant level. 🔹 Tags, UDTs, and metadata automatically appeared in the Ignition SCADA system—no manual configuration required. 🔹 A second press was added dynamically, proving that new devices could be integrated instantly while inheriting the standardized structure. 3️⃣ Aggregating Data at the Enterprise Level 🔹 Using MQTT Engine, the plant-level system subscribed to all incoming machine data. 🔹 Operators could now view all presses across the plant in a single dashboard. 🔹 Alarms and historical data were logged in SQL databases for local analysis. 4️⃣ Pushing Data to the Cloud for Enterprise Dashboards 🔹 The next step was sending data to Snowflake, a cloud-based data warehouse. 🔹 Using the Cirrus Link IoT Bridge, raw MQTT Sparkplug data was mapped into structured database tables—without writing a single line of code. 🔹 A live Snowflake dashboard displayed historical trends, alarms, and analytics, offering a unified enterprise-wide view. 5️⃣ Dynamic Expansion & Bi-Directional Control 🔹 A third press was added in real-time, demonstrating how new machines could seamlessly integrate without reconfiguring SCADA. 🔹 Operators could send commands back to machines using MQTT—changing setpoints from the enterprise dashboard and triggering alarms. 🔹 Alarm acknowledgments were synchronized across all levels (edge, plant, enterprise), ensuring a single source of truth. Q&A Highlights: ❓ If you already have a historian, why use Snowflake? 💬 Local historians ensure real-time visibility, but Snowflake enables enterprise-wide analytics and long-term data retention. ❓ What happens if multiple edge gateways publish UDTs with the same name? 💬 Each edge node has a unique MQTT topic, preventing conflicts. UDT versioning ensures updates are managed properly. ❓ How long did this implementation take? 💬 The demo infrastructure was set up in a few days. Real-world projects can vary from days to months, depending on scale. Key Takeaways: ✔ Open standards (MQTT, OPC UA) enable true interoperability ✔ Automatic tag discovery reduces manual configuration ✔ Edge-to-cloud connectivity provides full operational visibility ✔ Scalable architecture allows new devices to be integrated instantly PS. Weintek USA, Inc. has offered MQTT and OPC UA for a decade and our new web panels are coming soon!
IoT Software Integration Techniques
Explore top LinkedIn content from expert professionals.
Summary
IoT software integration techniques involve connecting devices, machinery, and applications so data can flow seamlessly from the factory floor to cloud services, making industrial processes smarter and more unified. These approaches help bridge the gap between operational technology (OT) and information technology (IT), enabling real-time monitoring, control, and data analytics across all levels of an organization.
- Embrace open standards: Adopt widely recognized protocols like MQTT and OPC UA to ensure different systems can communicate smoothly and devices can be added without complex reconfiguration.
- Utilize middleware solutions: Deploy industrial IoT middleware or edge gateways to gather, process, and route data between machines, plant systems, and cloud platforms for a complete and consistent data view.
- Standardize your data: Implement common data models and naming conventions so that information from various devices and sources can be easily combined and understood throughout your organization.
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"Industrial IoT Middleware for Edge and Cloud: The OT/IT Bridge with Apache Kafka and Flink" => Modernization of industrial IoT integration and the shift toward cloud-native architectures. As industries embrace digital transformation, bridging Operational Technology (OT) and Information Technology (IT) has become crucial. The OT/IT Bridge plays a vital role in industrial automation by ensuring seamless data flowbetween real-time operational processes and enterprise IT systems. This integration is fundamental to the Industrial Internet of Things (#IIoT), enabling industries to monitor, control, and optimize their operations through real-time data synchronization while improving Overall Equipment Effectiveness (#OEE). By leveraging Industrial IoT middleware and data streaming technologies like #ApacheKafka and #ApacheFlink, businesses can establish a unified data infrastructure, enabling predictive maintenance, operational efficiency, and smarter decision-making. Explore a real-world implementation showcasing how an edge-to-cloud OT/IT bridge can be successfully deployed: https://lnkd.in/eGKgPrMe
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𝐁𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐃𝐨𝐰𝐧 𝐈𝐓/𝐎𝐓 𝐒𝐢𝐥𝐨𝐬: 𝐓𝐡𝐞 𝐊𝐞𝐲 𝐭𝐨 𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 We often talk about digital transformation, but are we truly integrating the backbone of our operations? The reality is, many organizations are still battling the invisible wall between Information Technology (IT) and Operational Technology (OT). 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫? 𝐁𝐞𝐜𝐚𝐮𝐬𝐞 𝐭𝐡𝐨𝐬𝐞 𝐬𝐢𝐥𝐨𝐬 𝐚𝐫𝐞 𝐜𝐨𝐬𝐭𝐢𝐧𝐠 𝐮𝐬: 𝐋𝐨𝐬𝐭 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Real-time data visibility is crucial. Without it, decisions are slow and reactive. 𝐌𝐢𝐬𝐬𝐞𝐝 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬: Comprehensive analytics drive innovation. Siloed systems limit our ability to see the bigger picture. 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐝 𝐑𝐢𝐬𝐤: Separate security approaches leave vulnerabilities exposed. 𝐒𝐨, 𝐡𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐛𝐫𝐞𝐚𝐤 𝐝𝐨𝐰𝐧 𝐭𝐡𝐞𝐬𝐞 𝐬𝐢𝐥𝐨𝐬? 𝐌𝐨𝐝𝐞𝐫𝐧 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐚𝐧𝐬𝐰𝐞𝐫: 1️⃣ 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 & 𝐆𝐚𝐭𝐞𝐰𝐚𝐲 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Process data at the source, reducing latency and bridging protocol gaps. Imagine real-time insights from your machinery, driving immediate improvements! 2️⃣ 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐈𝐨𝐓 (𝐈𝐈𝐨𝐓) 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Create unified environments for seamless data flow. This is the foundation for a truly connected enterprise. 3️⃣ 𝐂𝐨𝐦𝐦𝐨𝐧 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐬 & 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬: Think OPC UA and MQTT. Standardized data formats are the language that allows IT and OT to speak fluently. 4️⃣ 𝐂𝐨𝐧𝐯𝐞𝐫𝐠𝐞𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: A unified security approach is non-negotiable. Zero-trust architectures and joint security assessments protect your entire ecosystem. 5️⃣ 𝐂𝐫𝐨𝐬𝐬-𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐞𝐚𝐦𝐬 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: The magic happens at the intersection of IT and OT expertise. Break down the cultural barriers and foster collaboration. 𝐓𝐡𝐞 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐀𝐫𝐞 𝐑𝐞𝐚𝐥: Legacy systems Security concerns Cultural differences Skills gaps 𝐁𝐮𝐭 𝐭𝐡𝐞 𝐫𝐞𝐰𝐚𝐫𝐝𝐬 𝐚𝐫𝐞 𝐢𝐦𝐦𝐞𝐧𝐬𝐞: predictive maintenance, digital twins, adaptive manufacturing, and robust cybersecurity. 𝐋𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤! What integration challenges are you facing? How are you breaking down the IT/OT divide in your organization? Share your thoughts below! #ITOT #IndustrialTransformation #IIoT #DigitalTransformation #Industry40 #OperationalExcellence #EdgeComputing #Cybersecurity #DataIntegration #IndustrialTransformation #IIoT #DigitalLeadership #ManufacturingExcellence #OTSecurity
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