Building smart factories with iot and analytics
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The document discusses the significant impact of IoT technology in industrial settings, highlighting its applications in predictive maintenance, inventory management, and operational efficiency. It emphasizes the importance of data collection and analysis through various IoT components like gateways and storage units, ultimately leading to actionable insights. The document also shares case studies from companies like Tesla, Caterpillar, and Daimler, illustrating the transformative benefits of IoT in manufacturing.
Building smart factories with iot and analytics
- 2. 40.3% of these smart IoT driven devices are in factories, manufacturing units and similar business The global worth of IoT cellular devices is going to approach $350 million by 2025 as per the latest report by
- 3. PART II: IOT ARCHITECTURE PART III: INDUSTRIAL IOT IN ACTION PART I: THE BENEFITS OF INDUSTRIAL IOT
- 4. What Purpose Does IoT Serve in a Manufacturing Setup Predictive maintenance based on real-time performance data Gap Identification based on machine utilization data to improve OEE Remotely controlling environment parameters Accurate inventory tagging for proactive supply management Route planning & optimization based on real-time data Cross channel visibility on inventory for shared cost reduction Connected, Safe and more productive Part 1
- 5. The components of an IoT Setup: Part 2 Smart things The Gateways IoT AnalyticsThe Storage
- 6. Plant floor things: Need to track inventory, manage machines, increase efficiency, save costs, and even save lives Supply chain things: Shipment tracking, product authentication, GPS devices, monitoring storage conditions, locating goods Back office things: Energy-saving equipment, Customer’s usage data Smart Things 01 02 03
- 7. The ‘Gateways’ Cloud GatewayField Gateway Similar to broadband routers Connected to sensors Computational & processing capability Connected to storage unit Security protocols Data compression & optimization
- 8. These sensors are gathering data all the time which is streamed through the gateways to a storage unit. The ‘Storage’ This is Big data; you need huge storage and hence data lake is an ideal fit.
- 9. Raw data - structured, unstructured or semi- structured. It stores all the data whether you use it or not (but you keep it for ‘if a need arises’ like for backup or exploration). Data Lake Prepossessed and structured Data with ETL methodology. Ready for data discovery. Data Warehouse
- 10. IoT Analytics All the layers so far lead to this stage. In this stage, all the information covered so far is dwelled into to extract key insights to fuel business decision making. Here, the data is used to find answers to questions like: What happened? – Descriptive Analytics Why did it happen? – Diagnostic Analytics What might happen? - Predictive Analytics What should be done? – Prescriptive Analytics 01 02 03 04
- 11. Part 3 INDUSTRIAL IOT IN ACTION
- 12. NUMBER 1: TESLA In-house Manufacturing Operating System - allows to fine-tune processes and equipment efficiencies in a very agile way Robots quickening the repetitive & strenuous task of lifting, placing & bolting Autonomous vehicles are moving inside the factory Every piece of item is tagged with sensors to get as much info as possible The factory presents a fabulous demonstration of robotics, IoT and exceptional IT Department. 04 03 02 01
- 13. Asset Intelligence Platform based on Pentaho helps them save millions of dollars in predictive maintenance. It helps customers’ make some golden discoveries In one of the examples quotes by the company – it helped the ship operators save $400,000 per ship by recommending - cleaning the ship’s hull every 6 months rather than a year“Oftentimes when people look at data, they’re looking for the ‘grand slam’ – one thing that’s going to save them tens or hundreds of thousands of dollars. In reality, it’s the small improvements that can add up to big dollar savings across many vessels.” – said James Stascavage, the former intelligence technology manager NUMBER 2: CATERPILLAR 01 02 03
- 14. Plant floor personnel equipped with iPads that allows them to manage machine efficiency, fuel consumption rate to tracking shipments and confirming reception The network allows them to do this by centralizing PLC data and connecting operations to execution and logistics systems Maintenance and scheduling were just a click away and everyone was notified with all the necessary information NUMBER 3: DAIMLER 01 02 03
- 15. Manufacturing giants across the world have shifted their focus from a pure- play product focus to building software capabilities as well. Conclusion: They are investing handsomely into electronics subsystems that are autonomous and are smart in ways that were beyond comprehension just a decade back.www.polestarllp.com
- 16. THANK YOU! Visit: www.polestarllp.com Email: rishabh.rai@polestarllp.com