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AWS 預測性維護與智慧物聯應用

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AWS 預測性維護與智慧物聯應用

  1. 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. T A I P E I 10.15.19
  2. 2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. T A I P E I AWS 預測性維護與智慧物聯應用 Jason Wang Partner Solutions Architect AWS Eddie Wu Customer Success Manager SoftChef 10.15.19 Albert Dai Project Manager Taikkiso
  3. 3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. The 21st Century Industrial Revolution 3 Digitizing Manufacturing to Capture Value with IoT Technology 18th Century Steam Early 20th Century Mass Production 1970s Robotics and Automation Today Digitization: Real-time Intelligence & Analytics Digital Manufacturing Priority Investments #1 Analytics | #2 Connectivity | #3 Automation | #4 Mobility TECHNOLOGY PROGRESS SMART DEVICES
  4. 4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Reduction in Energy Use 18% Annual energy cost down from $8.4M to $6.9M The Digitization of Manufacturing Business 4 Improved Inventory 35% Inventory turns increased from 14 to 19 OEE Improvement 16% Average OEE improved from 74% to 86% New Product Introduction 23% New product introduction cycle time reduced from 15 to 11 months Reduction in Defects 49% Defect rate down from 4.9% to 2.5% Reduced Downtime 48% Unplanned downtime down from 11% to 5.8% The Real Economic Value is Immense Source: SCM World/Cisco “Smart Manufacturing & the Internet of Things 2015” survey of 418 Manufacturing Business Line Executives and Plant Managers across 17 vertical industries.
  5. 5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Top obstacles to Digital Transformation 5 Complex Integration 56% prefer fully integrated and validated solution over separate best-of-breed vendors Need to Automate Extraction of Insights and Resulting Actions 42% pick analytics tools as most important enabler Data Overload 40% cite data management as #1 capability they need to improve Expanded Security Vulnerability 76% cite security is an important element of IoT implementation Siloed Networks 25% have experienced increased network strain when implementing IoT initiatives
  6. 6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Two predominant outcomes Smart products and services are brought to market with smart factories Smart Factories Smart Products and Services Connectivity and Internet Technology Smart Sensors and Actuators Cloud Processing and Storage Big Data Analytics and Artificial Intelligence
  7. 7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. What are the technical enablers of Industrie 4.0? Autonomous Robots Simulation Vertical & Horizontal Integration Industrial Internet of Things Cybersecurity Cloud Additive Manufacturing Augmented Reality Big Data & Analytics Cloud is one of the 9 standalone enablers Cloud is the central innovation enabler across all disciplines and industries
  8. 8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. What sets AWS apart? Security Fine-grained control Service Breadth & Depth Pace of Innovation 170+ services to support any cloud workload; rapid customer driven releases Experience: 1M+ customers Building and managing cloud since 2006 Global Footprint 22 regions, 69 availability zones, 180+ edge locations Artificial Intelligence Fully integrated in AWS Ecosystem Thousands of partners; 4,200+ Marketplace products Enterprise Leader AWS is positioned highest in execution and furthest in vision within the Leaders Quadrant
  9. 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. T A I P E I AWS 預測性維護與智慧物聯應用 Eddie Wu Customer Success Manager SoftChef 10.15.19
  10. 10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. • Softchef is a software company focused on b to b IOT cloud service management. • AWS APN Partner. • The creator of sensor.live , the architecture auto-provision SaaS for IoT Programmer sector. • Completed 15+ IoT solution development in 2018. RF Module & Sensor AIoT Edge Computing Vertical Application Cloud Architecture Mobile App SoftChef Introduction
  11. 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Digital and IoT transformation for companies WHAT IS IOT ?
  12. 12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. What is IoT ? LoraWan , 4G , NB-IoT ….. Applications Serverless Framework OT/IT Signal Modbus , Canbus , DALI … BLE , Zigbee , Z-wave , Lora Dashboards Server and Data Infrastructure IoT Gateway Sensors
  13. 13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. IoT Drives Growth in the Market 8 billion connected devices in 2017, growing to 50 billion connected devices by 2020. Industrial Internet of Things $11 trillion over 10 years. (GE, McKinsey 2015) Largest IoT segments in 2017: Manufacturing operations: $105 billion Smart grids for utilities: $56 billion Freight monitoring: $50 billion Product asset management: $45 billion Smart building tech: $40 billion (IDC, June 2017)
  14. 14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Drivers for IoT adoption in Industries Cost reduction Improved safety environment Shorter time-to-market IoT brings sensors and machines to improve productivity and lower the cost.
  15. 15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Complexities For IoT Development IoT Project Security Cloud Infrastructure Hardware Design Protocols Scalability Software
  16. 16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Companies Struggling Against Barriers Of self-initiated IoT were considered a failure. 75% Of companies substantially underestimate the complexities of building a IoT service. 60 %
  17. 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Executives believe that their organizations. Do not have the skills and capabilities to deliver on digital ambitions. 84% Executives believe their digital transformation efforts are stalled because of difficulties in Changing company culture to be agile. 63 % Companies Struggling Against Barriers
  18. 18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. The Barriers To Implement An IoT Solution Failure to Establish a Clearly-Defined Business Case Lack of Appropriate Staff Inability to Connect, Gather, and Understand the Data
  19. 19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Accelerating Enterprise IoT Solution DevelopmentCompany’s Account
  20. 20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Accelerating Enterprise IoT Solution DevelopmentCompany’s Account
  21. 21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Control 100% Cloud Data Cloud Architecture & Application in Minutes 0% system being installed No Data Ownership Disputes Without Heavy Development Serverless Architecture Competitive Uniqueness For sensor.live
  22. 22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. sensor.live Helps You To Overcome Challenges Cost Time Consuming Risk Reduce cost by 75% Reduce deployment time by 98% Large investment needs ROI
  23. 23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. • PM2.5/PM10 • Noise Urban Maps • Temperature/Relative Humidity Sensor • Anemoscope/Anemometer • Barometric Pressure • Rain Gauge • Radiation • UV • CO、NO、NO2、SO2、O3、 H2S、VOC、TVOC Intelligent LED Streetlights IoT Sensor System Wind turbine power system Solar power system Predictive Maintenance In Street Light
  24. 24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Application in Smart Light Solutions 1) Real-time devices condition monitoring 2) Energy and Environment monitoring 3) Setting scheduling & event trigger 4) Device Maintenance and dispatch 5) Device Maintenance and dispatch 6) History Report 7) Software OTA
  25. 25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Application in Predictive Maintenance Each object takes 5 to 30 hours processing by the SLA method so the operators are normally staying in the office. It is hard to predict accurate complete timing and get real-time error alarm so that causes a lot of time waste. Case 1: 3D Printing Plant Case 2: CNC Machining Plant A CNC plant focus on making the prototype for clients need a tool to quantify produce data for better operation strategies plaining to increase production. Case 3: Sand Casting Plant Casting is an assembly line production so the bottleneck process does affect the production capacity greatly. The business owner has to stay in the factory and make sure everything goes well every day and night.
  26. 26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. T A I P E I AWS 預測性維護與智慧物聯應用 10.15.19 Albert Dai Project Manager Taikkiso
  27. 27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Who is Taikkiso? Your total solution for rotating equipment and system needs Taipei Headquarter Offices in Changhua & Yunlin • Agent for world-famous rotating equipment in Taiwan for over 30 years • One of the very few agents who provides after-sales service to clients • Products are widely used by different industries: Oil and Gas Semiconductor Electric Power Chemical Nuclear Pharmaceutical
  28. 28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 32 YEARS Internet of Things Experience Data Analytics Industrial Clients’ Pain Points Compressors Pumps Cryogenic OEM Parts UV-C LED Owners Mangers Engineers
  29. 29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 32 YEARS Internet of Things Experience Data Analytics Industrial Clients’ Pain Points Compressors Pumps Cryogenic OEM Parts UV-C LED My boss wants to go industry 4.0; my boss wants to do AI My boss wants to go industry 4.0; my boss wants to do AI Owners Mangers Engineers
  30. 30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. MAINTENANCE PREVENTIVE PREDICTIVE vibration detection, data collection, data analytics, database creation, cross comparison, machine learning, algorithm modification, and more What can Taikkiso do then? 32 YEARS Internet of Things Experience Data Analytics Compressors Pumps Cryogenic OEM Parts UV-C LED
  31. 31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Cloud Service • Data storing • Deep Learning • Data visualization • Administrative Management … and more Embedded System & Sensors • Equipment symptoms collection • Algorithm execution • Data cleansing • Edge computing Condition Monitoring as a Service From labor to automation, we provide more advanced service Onsite Troubleshooting Spare Parts Maintenance MCU
  32. 32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Why CMaaS? 0 10 20 30 40 50 60 70 Before After Routing Inspection Time Before After 0 5 10 15 20 25 30 35 Before After Average Spare Parts Lead Time Before After Unit: Hours/Month Unit: Days 50%
  33. 33. Thank you! © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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