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INDUSTRY4.0 UniConverge Technologies Pvt. Ltd. (UCT)
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Kaushlendra Singh Sisodia IITK Alumnus 19+ year Industry experience Presently working as Director of UniConverge Technologies Pvt. Ltd. Worked with many MNCs Ericsson AB, Sweden (for 7 years) SASKEN Communication Tech., Bangalore UbiNetics India Pvt Ltd, Bangalore STMicroelectronics Pvt. Ltd, Noida
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What to discuss today? History of Industrial Revolutions Brief about Industry4.0 IoT and it's applications in Industry4.0 Convergence of All Technologies in context of Industry4.0 (ML, data analytics and computer vision AR/VR) Present status of Industry4.0 worldwide and in India Conclusion Q&A 3
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Industrial revolution 4
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Industrial Revolution History
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How analytics evolved in the industrial context
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Analytics evolution towards real-time, predictive, and prescriptive
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Industry 4.0 9
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Why IoT is a game changer for Industrial analytics
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Real-time Connected Supply Chain
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Industry 4.0 solutions by business function
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The Internet of Things & Manufacturing IoT applications in mfg. and factory settings expected to generate $1.2 to $3.7 trillion of economic value annually by 2025. IoT will revolutionize manufacturing processes. IoT will revolutionize manufactured products and product systems.
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IoT and Manufacturing Processes IoT will generate 4 primary forms of value in terms of manufacturing processes: 1.Supply Chain Management; 2.Operating Efficiency; 3.Predictive Maintenance; 4.Inventory Optimization.
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IoT and Supply Chain Management IoT can help manufacturers better manage their supply chains. BMW: Knows the real-time status of all machines producing all parts/components from all suppliers going into vehicles. Toyota: Reduces recalls by knowing exactly what machine produced which components of which vehicles. HP: Integrates network analysis and data visualization into its supply chain management and monitoring; has reduced the time for supply chain management projects by up to 50%.
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IoT and Manufacturing Operating Efficiency IoT provides manufacturers a comprehensive view of what’s occurring at every point in the production process and helps make real-time adjustments. Will increase manufacturing productivity by 10-25%. Producing up to $1.8 trillion in global economic value by 2025.
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IoT and Manufacturing Operating Efficiency Explosion of low-cost sensor technologies has made every manufacturing process and component a potential data source. Ford: Placed sensors on virtually every piece of production equipment at its River Rouge facility. GM: Uses sensors to monitor humidity conditions during vehicle painting; if unfavorable, the work piece is moved elsewhere in plant or ventilation systems adjusted. Raytheon: Keeps track of how many times a screw has been turned in its factories. Merck: Improves vaccines by conducting up to 15 billion calculations to determine what environmental and process factors influence quality of final product.
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IoT and Predictive Maintenance Monitor the status of production equipment in real-time. Intel: Uses predictive modeling to anticipate failures, prioritize inspections, and cut monitoring costs, save $3M. Ford: Downstream machines can detect if work pieces they receive are off in a particular minute dimension, indicating possible problems in upstream machines. GE: “Brilliant Factories” initiative doubled production of defect- free dishwashers and washing machines.
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IoT and Predictive Maintenance IoT expected to reduce factory equipment maintenance costs by up to 40%. Expected to reduce equipment downtime by up to 50% and is expected to reduce capital equipment investment costs 5%. Generating economic value of $630B annually by 2025.
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IIoT Growth: Why Now?
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What Comprises IoT Networks? Information Technology (IT) Operational Technology (OT) Smart Objects
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IoT Networking 24
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Study of Some Industrial Surveys 25 How much Industries are ready for IoT? What is Present Status and what is coming in future?
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Industrial Analytics to play a crucial role in organizations in 5 years Question: What role does Industrial Data Analytics play in your organization?
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Biggest benefits of Industrial Analytics Question: What are the biggest benefits of Industrial Data Analytics for your company?*
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Usecases and Practical Implementation
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29 Data Logger Architecture
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30 Data Logger Example
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31 Predictive Maintenance of Solar Panel
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32 Value of Monitoring Increased frequency and duration of power generation outages Increased operational expenses Risk of not knowing if the system is underperforming Cannot easily compare actual against expected energy generation Cannot benchmark expected performance of different technologies Maximizing solar energy production and revenue Measures performance from strings, inverters and generation meters Identifies low performance and reduces power loss Increases operational productivity for reduced total cost of ownership Plants without Solar Monitoring Plants with Solar Monitoring
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Process Flow of Steel Plant
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Industrial Revolution
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AFTER INSTALLATION OF VIBRATION SENSORS
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Present Scenario
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Instances of failure
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EXPECTED SCENARIO
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Technologies used in Industry4.0
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Robotics
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VR, AR, Remote Control
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Reducing Inventories ↔ Production MGMT SW (MES, APC, ERP)
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IOCL Predictive maintenance solution
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UCT Products Perspective
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UCT’s Penetration
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DATA AGGREGATOR AND MONITORING SYSTEM IOT Based Control and Monitoring System Industrial IOT Gateways, Machine to Machine Cloud Industrial Data Logger Compact DIN Rail Mounting MODBUS RTU RS-485 SD Card Data Recording Plug and Play Device Cloud Ready Gateway Real Time Monitoring and Logging Industry Compliant Modular Architecture
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DATA AGGREGATOR AND MONITORING SYSTEM IOT Based Control and Monitoring System
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Conclusion / Q&A 49
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THANKS E-mail: kaushal@uniconvergetech.inkaushal@uniconvergetech.in URL: www.uniconvergetech.inwww.uniconvergetech.in UniConverge Technologies Pvt. Ltd.
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